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“Health Outcomes of Grandparents Caring for Double Orphans in South Africa”: What Are the Determinants?
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08 September 2023
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08 September 2023
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Abstract
Background: In the 21st century, grandparenthood is a significant phenomenon in the fields of demography, gerontology and sociology. It is mainly explored in the context of ageing, as it is poised to become one of the most significant demographic phenomena and social issues in contemporary South Africa. Therefore, this study examined the determinants associated with grandparents who are parenting as caregivers and the health challenges they are exposed to as a caregiver. Methods: The National Income Dynamics Study (NIDS) Wave 5 dataset was utilized, and a total of 302 476 grandparents aged 25 years and older, who reported to be primary caregivers of double orphans, were included in the analysis. Both bivariate and multivariate binary logistics regression were performed to determine the predictors of the determinants of grandparents parenting as a caregiver and their health challenges in South Africa. Estimated odds ratios (ORs) with 95% confidence intervals (CIs) were used, and the threshold for statistical significance was established at ρ< 0.05. Results: A majority of the male and female grandparent caregivers are aged 24-34 years, were black Africans (69.8%), had secondary education (46.9%), reported health challenges (HC) (59.7%), with 26.4% reporting headaches in the last 30 days. Logistic regression revealed that grandparent caregivers aged 55-64 years were 8.9 times more likely to report health challenges as compared to those aged 25-34 years. Non-black African grandparent caregivers were found to be 0.61 times less likely to be report health challenges, compared to Black African grandparent caregivers. Those with perceived poor health status were 3.3 times more likely to report health challenges, compared to those with excellent perceived health status. Conclusion: Therefore, there is an urgent need to redesign health interventions to address these health burdens among grandparent caregivers and to take cognizance of providing economic and social support for these vulnerable populations.
Keywords:
Subject: Social Sciences - Demography
1. Introduction
In the 21st century, grandparenthood is a significant phenomenon in the fields of demography of ageing, social gerontology and sociology and it is mainly explored in the context of social aspects of ageing. It is poised to become one of the most significant demographic phenomena and social issues in contemporary South Africa [1,2]. Human immunodeficiency virus (HIV) and acquired immune deficiency syndrome (AIDS) have caused major social and economic devastation in South Africa, especially among children who have become orphaned by the disease. The premature death of parents due to HIV/AIDS leaves orphans without support, parental love, guidance, and resources, and this can be further followed by cycles of poverty, malnutrition, stigma, exploitation, and psychological trauma [3,4]. In many African societies and communities such as in South Africa, the obligation for the care and welfare of orphans is placed on the closely-connected members of the family, notably with the core expectation of these being the grandparents. The number of grandparents assuming the parental role of raising their grandchildren is becoming alarmingly high and has been showing a worldwide surge over the past 20 years [3,4]. Caregiving from grandparents ranges from primary care to co-care when living in an intergenerational home. In the absence of a parent, a group of grandparents, known as custodial grandparents, provide all of the child’s care in a household; such situations are prevalent in South Africa and commonly referred to as skip-generation households [2]. The extended families that once characterised the black social structure have changed as a result of modernization and urbanisation in both developed and developing nations, and family structures and functions have changed over time [5,6]. In a typical family, older members who had been a part of the extended family were replaced by a different form of family.
In addition, Fernandes et al. [7] reported the growing trend of grandparents parenting their grandchildren in the 1990s, which has also caught the attention of the press and policymakers in the United States of America. Previous studies have reported that 13.4% of the almost 7.1 million grandparents-grandchild households in the United States of America are custodial grand-families [8]. According to Meyer and Kandic [9], there has been an estimated 7% rise in custodial grandparenting in the United States since 2009. Since 1990, custodial grandparenting has increased in various low- and middle-income countries [4], including those in Africa [10] and Asia [11]. According to Buchanan and Rotkirch [12], and Nadorff and Patrick [13], approximately 1% of all children in the United Kingdom and nearly 4.8 million children in the United States are raised by grandparents, while a study conducted by Hall et al. [14] reported that about 4 million children were being raised by grandparents in South Africa. The justification for such a situation is differently accountable within each context and for different geographical locations. According to Buchanan and Rotkirch [15],the main reasons why children in the United Kingdom end up living with their grandparents were owing to an increase in desertion, death of parents, parents’ incarceration, rising drug abuse, and an increase in divorce rates [16]. In South Africa and other countries in sub-Saharan Africa, the death of parents from HIV/AIDS has left many children in this situation to be raised by their grandparents [17]. Similarly, in Swaziland (formerly Eswatini), a majority of the rural children are forced to be under grandparental care as a result of poverty and HIV/AIDS [18].
South Africa has been experiencing changing family structures, and the phenomenon has been evident before the time of apartheid and continues during the current democratic dispensation. However, one of the noticeable changes in the family structure over the years is the transition from nuclear and extended families to skip-generation family structures [1,2]. The transition in the family structure has been attributed to issues such as labour migration, non-marital child-bearing, poverty, gender inequality, death of parents, and neglect among others [19,20]. HIV/AIDS has also played a significant role in changing the family structure, leaving children with family members, and grandparents in particular [21,22]. With these transitions, non-parent caregivers have taken the responsibility of becoming informal caregivers to people living with disease or disability, and orphaned children [21,23]. Likewise, it has been noted that grandparents have been increasingly taking responsibility for the primary care of orphans in the absence of biological parents in South Africa, resulting in what is known as grand-families [19]. From 1996 to 2011, grandparent headship of households has increased from 11.9% to 12.3%, showing an increased in the importance of grandparents’ contributions in South African households [19,24]. Besides, in 2017, almost 2.7 million children were living with grandparent caregivers in the absence of their biological parents [1,25], with more female grandparents caring for orphans compared to male grandparents. Thus, grandmothers have become the new mothers with transforming roles, signifying the existence and reality of grand-families in South Africa. Caregiving among grandparents is a moral and cultural obligation in African societies. Benefits of caregiving among grandparents have not gone unnoticed as they receive much satisfaction from parenting [26], and younger grandparents in the age cohort less than 40 years and who enter early into grandparenthood, to a certain extent, have reported greater satisfaction as caregivers to their grandchildren [27].
However, the impact of grandparenting has yet to be significantly recognised and documented in South Africa. Caregiving from grandparents usually produces numerous benefits, such as having a close-knit relationships with the children they are caring for. However, grandparents still face many difficulties, which include the role of caregiving, which is demanding, insufficient or no formal caregiving training, and exposure to burdens in the form of physical, mental, social, and economic hardship [1,27]. Furthermore, grandparent caregivers often present with health challenges such as poorer emotional well-being and declining psychological health as a result of stressors arising from caregiving to grandchildren [6,19]. A study conducted by Kidman and Thurman [21] among 726 caregivers of orphans in the Eastern Cape province revealed that 23% of caregivers reported to have experienced chronic illness for three months or longer in the previous year. Also, another study conducted in Mankweng in Polokwane among twelve grandparent caregivers of orphans revealed that grandparent caregivers reported having hypertension, diabetes, and bodily aches owing to old age; one grandparent indicated that her poor health was as a result of stress caused by her granddaughter [6,26]. The deterioration of the health of grandparent caregivers owing to stress are usually triggered by being unable to cope with the physical demands of raising small children and financial constraints. Moreover, in a qualitative study conducted in Vhembe district in Limpopo province, grandparents were found to have reported experiencing anxiety, emotional stress, depression, bodily pain, hypertension and high blood pressure when providing caregiving to their grandchildren [1,6].
South Africa remains a complex mix of different races, cultural identities, languages, ethnic bonds and social classes, as the country continues to have racial segregation. This racial segregation may perhaps have directly or indirectly created social concerns such as rape [28], children/adolescents being pregnant [29], HIV and AIDS [30], tuberculosis (TB) [28], obesity [31], domestic violence [29], a high crime rate [29], unemployment [32], a high incidence of divorce [33], addiction to alcohol [30] and dependency on drugs/ substance use [34]. There is a dearth of studies on ageism conducted in South Africa, despite it being pervasive, and affecting people of all age cohorts, from childhood onwards, with serious and far-reaching consequences for individuals’ well-being, health and human rights [35,36]. Ageism is typified by the stereotypes (how one thinks about grandparents as a parental caregiver), prejudice (how one feel about grandparents raising their grandchildren) and discrimination (how one act towards grandparents giving parental care) has a great impact on perceptions of other persons based on their age. Owing to the little attention ageism has attracted, issues associated with grandparenting and positive contributions by grandparents acting as caregivers to their grandchildren are not documented [37,38,39]. Adopting a better view of seeing the core importance of grandparents playing the role of caregiver, despite having challenges as a result of care giving, does not truly reflect the resilience of being a grandparent taking up the challenges of parenting their grandchildren in the absence of their biological parents.
The General Household Survey (GHS) showed that about 9% of children were paternal orphans, 3.1% of children (aged 0–17 years old) were maternal orphans, and 2.4% of children were double orphans [27,40]. Also, Statistics South Africa reported that the proportion of orphaned children in KwaZulu-Natal province was 18.7% and one of the highest in South Africa [27]. Consequently, orphans have to rely on their aging and often impoverished grandparents, who are not physically, emotionally, and financially ready for the new responsibility. This leaves grandparents with several challenges that they have to face, despite their incapacity to do so, which often has detrimental effects on their health outcomes [41,42]. This informs the underlying motivation for this study, as the range of health problems associated with grandparents carrying out caregiving has not been addressed. They are often the neglected portion of the population owing to stigmatization resulting from their children who died as a result of AIDS and being in the aging population with critical needs [18,27]. Few studies have been conducted in South Africa to examine health outcomes associated with grandparents acting as caregivers to orphaned children [19,36].
One neglected area of research is the determinants of health outcomes of grandparents caring for double orphans in South Africa. The purpose of this study is to examine the determinants associated with grandparents who are parenting as caregivers, and the health challenges they are exposed to as caregivers to grandchildren who are double orphans. Findings from this study will be relevant to Social Gerontologists, Demographers of Ageing, and Sociologists, and also to other health care practitioners (medical practitioners, community health workers, social workers and public health experts) and policy makers, as they will acquire knowledge through an in-depth understanding of this phenomenon from the study outcome, which will be of interest within the South African context.
2. Methods
2.1. Geographical and sociodemographic context of the study
The study was conducted in South Africa, a country situated on the southern tip of Africa, bordered by Namibia, Botswana, Zimbabwe, Swaziland, and Lesotho. It has a land area of 1,221,037 square kilometres, stretching from latitude 22°S to 35°S and from longitude17°E to 33°E [43]. One of the historical facts about South Africa is that the Dutch founded Cape Town in the country’s south in 1652, and Dutch farmers — known as Boers — started migrating there. Due to conflicts in Europe in 1806, the British took control of the Cape Town colony. The British merged the four local colonies to form the country of South Africa in 1910. The country has 3 capitals that operate at the executive (Pretoria), legislative (Cape Town) and judicial levels (Bloemfontein). It has a current population of 60.6 million persons in 2022, with life expectancy of 60 years for men and 67 years for women [43], with diverse cultures and population groups stratified as Black Africans who are the majority (81.0%), followed by Coloureds (8.8%), Whites (7.7%) and Indian/Asian (2.6%)[43].The country has nine provinces: Eastern Cape, Free State, Gauteng, KwaZulu-Natal, Limpopo, Mpumalanga, Northern Cape, Western Cape, and North West, and there are eleven official languages namely Zulu, Xhosa, Afrikaans, English, Sepedi, Swazi, Sesotho, Setswana, Xitsonga, Tshivenda, and Ndebele. Recently, South African Sign Language became the twelfth official language. Notable demographics about South Africa include a fertility rate of 2.4 births per woman [44]. The economy has a GDP growth rate of 4.9% annually [43] and a Gross Domestic Product of 419 billion USD [45]. Although South Africa has one of the largest and most developed economies on the continent, the nation was previously governed by a white minority when the National Party came to power in 1948 and implemented its apartheid policy; this formalised the previously practised racial segregation. The discriminatory laws started to be overturned in the late 1980s after decades of diplomatic isolation, military resistance, and large-scale protests. 1994 was the nation’s first nationwide elections for all races. Despite efforts to address social injustices and promote reconciliation by the democratically elected administration, the economy continues to struggle. After the 1994 elections, the first post-apartheid population census was conducted in 1996 which included all persons within the borders of South Africa [46]. The World Economic Forum warned in 2022 that South Africa is being faced with a significant danger of state collapse amid records of extreme unemployment rates, high crime rates, unaffordable government expenditure, poorly run institutions, and fraud [47]. In addition,, South African still has the highest number of HIV infections globally and has seen a dramatic increase in AIDS-related deaths which peaked around 2007. The estimated overall HIV prevalence rate is approximately 13.9% among the South African population, and people living with HIV (PLWHIV) is estimated at approximately 8.45 million in 2022, as well as an estimated HIV positivity rate of 19.6% among adults aged 15–49 years [43]. This was exacerbated by the HIV epidemic resulting in the upsurge of HIV morbidity and mortality progression among adults, and so childcare inevitably became part of grandparents’ activities [25,48]. In addition, nearly 2.7 million children in South Africa live in their grandparents’ households without their biological parents [25].
2.2. Study design and data source
The 2017 wave 5 datasets from the National Income Dynamics Study (NIDS) were utilised in this study [49]. The Southern Africa Labour and Development Research Unit (SALDRU), established at the University of Cape Town’s School of Economics, have conducted the five waves of databases for the NIDS every two years with the same household members and they are dated from 2008 (wave 1), 2010-2011 (wave 2), 2012 (wave 3), 2014-2015 (wave 4), and 2017 (wave 5). NIDS is a national representative face-to-face longitudinal survey design comprising of individuals residing in South Africa and their households, and was initiated by the Department of Planning, Monitoring and Evaluation (DPME). This survey was conducted in order to understand the changing dynamics of poverty across the nine provinces in South African. Household living standards, household composition and structure, mortality, food and non-food spending and consumption, household durable goods, household net assets, agriculture, demographics, birth histories and children, parents and family support, labour market participation and economic activity, income and expenditure, grants, contributions given and received, education, health, emotional health, and household deprivation are among the research topics covered in the NIDS survey. The data for the NIDS survey were collected during the panel survey along with broad topics such as household (household characteristics, household roster, mortality history, living standards, expenditure, consumption, adverse events, positive events, and agriculture); the adults (demographics, education, labour market participation, income, health, well-being, numeracy, and anthropometric data); and the children (education, health, family support, grants, anthropometric data, and numeracy). The NIDS started in 2008 with a nationally representative sample of over 28,000 individuals in 7,300 households across the country. NIDS has Continuing Sample Members (CSMs) and Temporary Sample Members (TSMs), designed to follow individual members who are CSMs, wherever they may be in South Africa at the time of interview. Wave 5 includes proportions of respondents that were interviewed in earlier waves, with 92% from wave 4, 87% from wave 3, 77% from wave 2, and 73% from wave 1 [50]. Within wave 5, the respondents such as the adults, children, household and link files were merged with the aim of having the characteristics of grandparent caregivers and those of the orphaned children, and to use the weight variable in the household file. However, the files were merged using a unique person identifier (PID); 400 enumerator areas were utilised, alongside with 7,296 households selected to be part of the NIDS sample. Also, 300 fieldworkers were distributed around the nation’s nine provinces, to locate 28,226 individuals making up the selected households and about 26,776 individuals were successfully interviewed throughout wave 1. However, in successive waves, the initial sample representatives are traced and re-cross-examined; in the 2017 NIDS wave 5 datasets, 539,434 individuals were successfully interviewed.
2.3. Study population and sample size
The 2017 National Income Dynamics Study (NIDS) Wave 5 datasets were utilized, and a total of 302,476 grandparents aged 25 years (to be a grandparent at 25 involves 2 generations becoming pregnant at age 12 or lower and older were reported to be primary caregivers in the datasets. However, the study population chosen was those grandparents who reported that they are caregivers to double orphans, and they were further stratified by the sex of the double orphans in the analysis. These are persons related that they provided caregiving without being remunerated [51]. The number of grandparents providing caregiving to male double orphans were 141,671 and female double orphans were 160,805, totalling 302,476 grandparent caregivers. The grandparents who reported to be primary caregivers were determined using a variable from the dataset ‘relationship code of the person responsible for the care of the child’. However, the variable had different relationship codes but only respondents who reported to be a grandparent or great-grandparent remained as the sample, and other relationship codes were dropped. To ascertain that the children cared for were double orphans, only those that reported having lost both parents through death remained valid for this study.
2.4. Variable measurements
2.4.1. Outcome variable
The outcome variable of the study is health challenge, with a binary category outcome of Yes or No, and it was coded as Yes = 1 and No = 0. This was done in order to carry out binary logistic regression analysis [52,53]. However, health challenge was generated from a question that asked about some health conditions that people complain about at times. The question asked if “In the last 30 days, have you experienced […]?” with listed health conditions being fever, persistent cough, cough with blood, chest pain, body ache, headache, back ache, joint pain/arthritis, diarrhoea, painful urination, swelling of ankles and severe weight loss. Those that reported Yes were coded as 1 and those who reported No were coded as 2. The study recoded all those coded as 2 to 0 (No) and those coded as 1 remained so (Yes).
2.4.2. Independent variables
Independent variables (or factors) were selected for this study based on the objectives of this study and on review of existing studies [6,18], with consideration of the information available in the 2017 NIDS Wave 5 datasets. The independent factors were categorized as demographic, economic, health-related and geographical type. First, the demographic variables were age (25-34*, 35-44, 45-54, 55-64, and 65+), sex (male* and female), population group (Black African* and non-Black African), education (no education*, primary, secondary, and post-secondary). However, marital status was excluded from the regression analysis due to sample size reduction and multicollinearity of the predictor variable. Second, economic variables were assessed as regular salary (yes* and no), and pension (yes* and no). Third, health-related factors included in the analysis were depression in the past week (no* and yes), perceived health status (excellent*, good, poor), last health consultation (never*, in the last month, and last year or more) and medical aid (yes* and no). Fourth, geographical type variables were geographical area (rural* and urban) and province (Western Cape*, Eastern Cape, Northern Cape, Free State, KwaZulu-Natal, North West, Gauteng, Mpumalanga, and Limpopo). However, employment status, health index, geographical type, province, health insurance cover, and the individuals’ perception of health were explored as background characteristics and further used as determinants of health in the binary logistic regression model. All the variables are categorical. Note that the asterisk signs in the parentheses “*” indicated the reference category used in the binary logistic unadjusted and adjusted odds ratio in the analyses.
2.5. Statistical Analysis
Datasets from the 2017 National Income Dynamics Study (NIDS) wave 5 were adjusted for weighting to account for variations in sample probabilities, such as under- and over-sampling errors resulting from previous studies before this study analysis. Also, all analyses were carried out based on the outcome of interest and stratified by gender of the target population (caregivers of both male and female double orphans). Stata 14 statistical software version was employed to carry out data cleaning in order to detect and correct inaccurate, duplicate, or incomplete data within the wave 5 dataset. Analyses were done in three phases: univariate, bivariate and multivariate. First, the univariate analysis was performed to describe the characteristics of the outcome and the independent variables (demographic, economic, health-related and geographical type) associated with grandparent caregivers was presented in a table (Table 1). Graphs were drawn to show the prevalence of grandparents as caregivers to double orphans by sex (Graph 1), age (Graph 2) and population group (Graph 3). Similarly, a separate univariate analysis was conducted to show the proportion of health challenges reported by grandparent caregivers to double orphans (Table 2). Second, bivariate analysis, which employed the Chi-Square test, was performed to test the associations between grandparents caring for double orphans by sex and its associated factors (Table 3). Third, multivariate binary logistic regression was performed to evaluate the unadjusted and adjusted relationship between the outcome and explanatory factors, accounting for the effects of all other explanatory variables which are included in the regression models. Multicollinearity was checked using ‘vif’ command in the Stata software and the mean vif was 1.40 and presented in tables (Table 4 and Table 5).
3. Results
3.1. Socio-demographic Characteristics
Table 1 below shows the demographic, economic, health-related and geographical characteristics of grandparents as caregivers and stratified by caregiving to male (n = 141,671), female (n = 160,805) and both sexes (N = 302,476) of double orphans (Table 1). Demographics show the majority of grandparent caregivers of female double orphans were aged 25–34 years (26.6%), female (66.6%), and had secondary education (51.3%), while grandparent caregivers for male double orphans were mainly Black Africans (70.9%). With economic factors, grandparent caregivers for female double orphans reported to have pensions (81.7%), and grandparent caregivers for male double orphans reported ‘no’ regular salary (65.4%) (Table 1).
Similarly, by health-related factors, grandparent caregivers for female double orphans mentioned not having medical aid (81.2%), and grandparent caregivers for male double orphans reported having depression in the past one week prior to the survey (42.9%), having poor perceived health status (22.1%), and had their last health consultation in the last month prior to the survey (65.5%). Finally, by geographical type, grandparent caregivers for female (41.0%), male (21.6%), and both sexes (30.7%) of double orphans were predominantly found in Gauteng province (Table 1).
3.1.1. Prevalence of grandparents as caregivers to double orphans by sex
Figure 1 shows the prevalence of sex of grandparents as caregivers to double orphans in South Africa. A majority (38.5%) of female grandparents reported caring for both sexes of double orphans, while 21.4% of them cared for female double orphans, and 17.2% of them reported caring for male double orphans (Figure 1).
3.1.2. Prevalence of grandparents as caregivers to double orphans by age
Figure 2 shows the prevalence of grandparents caring for double orphans by age. Overall, 14.5% of grandparents aged 65+ years reported caring for both sexes double orphans, while 7.3% of grandparents aged 45-54 years stated caring for female double orphans and 7.6% of grandparents aged 55-64 years reported caring for male double orphans (Figure 2).
3.1.3. Prevalence of grandparents as caregivers to double orphans by population group
3.1.4. Health challenges reported by grandparents as caregivers to double orphans
Table 2 below showed health challenges reported by grandparents as caregivers caring for their double orphaned grandchildren prior to the survey in the last 30 days. The study finding revealed that grandparents as caregivers caring for double orphans mainly reported their experienced health conditions as joint pain/arthritis (19.6%), back ache (19.9), body ache (20.1%), fever (26.4%) and headache (26.9%) (Table 2). Some others mentioned health conditions they were concerned with to include diarrhoea (6.9%), chest pain (7.5%), swelling of ankles (0.4%), and cough (9.6%) (Table 2).
3.1.5. Bivariate analysis of grandparents’ caring for double orphans and its associated factors by sex
Table 3 presented the significant findings of the bivariate analysis involving grandparents caring for double orphans by sex and its associated factors (demographic, economic, health-related and geographical type) (Table 3). From the demographic factors, the findings revealed that grandparents aged 65+ years were found caring for male (95.4%) and both sexes (87.7%) of double orphans. Also, grandparents aged 55-64 years reported caring for males (79.0%), females (80.4%) and both sexes (79.6%) of double orphans. Age was found to be significantly associated at ρ<0.05. Similarly, 72.8% of grandparents caring for female double orphans and 70.3% of them caring for both sexes of double orphans reported having no education. Also, 67.1% of them caring for female double orphans and 76.4% of them caring for both sexes of double orphans reported having primary education. Education was found to be significantly associated at ρ<0.05. By economic factors, 73.9% and 65.6% of grandparents caring for males and both sexes of double orphans reported not regularly having a salary. A regular salary was found to be significantly associated at ρ<0.05 (Table 3). Likewise, 93.6% of grandparents caring for male double orphans reported having a pension, while 72.3% of grandparents caring for female double orphans stated having a pension and 82.8% of grandparents caring for both sexes of double orphans reported having a pension. A pension was found to be significantly associated at ρ<0.05 (Table 3). By health-related factors, grandparents caring for male, female and both sexes of double orphans reported good (81.4%; 67.4%; and 74.7%) and poor (83.3%; 88.6%; and 85.8%) perceived health status respectively (Table 3). Perceived health status was found to be significantly associated at ρ<0.05. Lastly, among grandparents caring for male (79.0%) and both sexes (70.8%) of double orphans reported never having gone for a health consultation, while grandparents caring for male (69.4%), female (64.8%) and both sexes (67.0%) of double orphans had their last consultation in the last month. Last health consultation was found to be significantly associated at ρ<0.05 (Table 3).
3.1.6. Unadjusted Predictors of health challenges experienced by grandparents’ caregivers
The significant predictors of health challenges experienced by grandfather caregivers in the unadjusted logistic regression analysis were: - age (55 – 64 years and 65+ years), no regular salary, no pension, poor perceived health status, and health consultation (Table 4). According to the unadjusted binary regression model, the factors that significantly increased the likelihood of health challenges experienced as a result of being a caregiver to male orphans were: - increasing age 65+ years (unadjusted odds ratio (UOR) 8.70; ρ<0.05), no regular salary (UOR 2.12; ρ<0.05), poor perceived health status (UOR 5.87; ρ<0.05) and health consultation in the last month (UOR 2.15; ρ<0.05). For grandparents caring for female orphans, a significant likelihood of health challenges experienced was found among respondents with increased age 55 – 64 years (UOR 7.51; ρ<0.05), poor perceived health status (UOR 5.79; ρ<0.05), and health consultation in the last month (UOR 8.77; ρ<0.05). A significant probability of health challenges experienced by grandparents caring for both sexes include factors such as no regular salary (UOR 1.90; ρ<0.05), poor perceived health status (UOR 5.73; ρ<0.05), and health consultation in the last month (UOR 15.74, ρ<0.05) (Table 4).
3.1.7. Adjusted Predictors of health challenges experienced by grandparent caregivers
The significant predictors of health challenges among grandparent caregivers to male, female and both sexes of double orphans were age, education, regular salary, pension, perceived health status, and health consultation (Table 5). The adjusted binary regression model has shown significant factors such as increasing age (55–64 years and 65+ years) among grandparent caregivers to males, females and both sexes. For education, a significant likelihood of health challenges experienced was found among respondents caring for female orphans (AOR 13.94; ρ<0.05) and both sexes of orphans (AOR 4.79; ρ<0.05). Respondents with no regular salary caring for males (AOR 4.68; ρ<0.05) and both sexes (AOR 2.01; ρ<0.05) have higher odds of experiencing health challenges. Grandparents with no pension caring for both sexes (AOR 3.95; ρ<0.05) of double orphans have increased odds of experiencing health challenges. Respondents with good perceived health status caring for males (AOR 6.15; ρ<0.05) and both sexes (AOR 2.98; ρ<0.05) have higher odds of experiencing health challenges. Also, respondents with poor perceived health status caring for males (AOR 4.28; ρ<0.05), females (AOR 4.00; ρ<0.05) and both sexes (AOR 3.30; ρ<0.05) had increased odds of experiencing health challenges. Hence, regarding health consultation, grandparents caring for both sexes of double orphans were 12.87 times more likely to have experienced health challenges (AOR 12.87; ρ<0.05) (Table 5).
4. Discussion
The results of the 2017 wave 5 of the NIDS are presented in this study, from nationally representative data, carried out to keep track of the well-being of South Africans [49]. This study indicated that grandparents in the age cohorts of 55 – 64 years and 65+ years experienced a higher prevalence of health challenges than those in the age groups of 25 – 34 years and 35 – 44 years. Further, grandparent caregivers of female double orphans reported the highest prevalence of health challenges, compared to grandparent caregivers of male, and both female and male double orphans. Also, the prevalence of health challenges remained highest among Black African grandparent caregivers of male, female, and both sexes double orphans. The observed prevalence of health issues among grandparents who are caring for their grandchildren after their parents pass away from HIV/AIDS is an indication that South Africa has not made much progress towards the SDG 1, SDG 2, and SDG 3 targets [48,54]. In a high-income country, family support is often passed down through the generations, especially from parents to children, and this significant kind of help includes looking out for the ages that follow. Grandparents continue to be an essential source of child care for many working parents, even though the number of children they manage has decreased as formal child care has increased.
Meanwhile, the proportion of grandparents who raise their grandchildren with them has grown over time [18,20]. Some grandparents step in to raise their grandchildren when the parents cannot do so owing to illness, drug addiction, or being in prison [38,54]. Also, other grandparents share custody of their grandchildren in response to their adult child’s financial need, separation and divorce, or employment commitments, as well as the death of one or both parents due to health condition such as HIV/AIDS, tuberculosis etc. [55,56,57,58]. Grandparents caring for grandchildren provide a critical provision and a fruitful platform for their grandchildren. The benefits of using grandparents to care for or raise grandchildren are both public and private, much like those of other forms of caregiving. Using grandparents to raise or care for grandchildren, particularly after the death of parents, preserves public resources and avoids discussions about public duty. However, as the importance of grandchild care has grown, concerns have surfaced that the benefits, as mentioned earlier, may jeopardise the well-being of grandparents [38,58], and the influence of caring for double orphaned grandchildren on grandparents’ health is a major focus of concern in this study.
Therefore, this study found that cohorts of grandparents of increasing age as caregivers to double orphans suffered many health challenges, as they are solely responsible for the well-being of their grandchildren [59,60]. We also found significant differences as age increased when looking at health challenges experienced by grandparents as caregivers to double orphans. This finding is consistent with another study conducted by Spinelli et al. [61], a study, which found grandparents derived satisfaction as caregivers to their grandchildren despite experiencing other social problems. Grandparents play an important role in family life and is culturally acceptable to have grandparents as caregivers across sub-Saharan African nations such as in Nigeria [62], Ethiopia [63], Malawi [55] and Mozambique [54]. Furthermore, our findings support the assumptions that when parents are unable or unwilling to care for their children, grandparents are the first option. To reduce the effects of children growing up without parents, grandparenthood should be encouraged and supported to take on caregiving duties and parental roles to their grandchildren [61]. Also, findings from this study can be generalized to a bigger population as a result of the sample scope included in this study [59]. Additionally, in-depth research is required to identify the difficulties and issues that are being faced by grandparents as caregivers, especially in this era of non-communicable diseases, and communicable diseases such as tuberculosis and HIV/AIDS [19,42], considering the high prevalence of young parents out of work with children [61,62] Thus, several studies have documented positive responses from studies that have worked on grandparents as caregivers to their grandchildren despite other challenges they faced during the process of caregiving. As such, it would be very important to create and develop strategic strength-based interventions to tackle all the challenges plaguing grandparents as caregivers [54,59].
Attempts should be made to assist and allow grandparents to raise their grandchildren in cases when both parents have died, rather than trying to dissuade them from taking on the role of guardian and proxy parent [19,54]. To address some of the health challenges faced by grandparents, resources, such as social, financial, and health, that will reduce pressure and fatigue related to grandparents’ contribution to parental role to their grand kids, should be provided for them [19,42]. By strongly encouraging healthy intergenerational ties, this will reduce abuse and desertion of elderly people like grandparents [60,65]. Furthermore, our results showed that health conditions experienced by grandparents when providing caregiving to double orphans include joint pain/arthritis, backache, body ache, fever and headache. Other health concerns such as chest pain, swelling of ankles and a cough were mentioned by grandparents in this study. Caregiver burnout can occur in grandparents in a state of physical, emotional and mental exhaustion. Stressed grandparent caregivers may experience fatigue, anxiety and depression when providing parental care to their double orphaned grandchildren [65]. After all, being a grandparent serving as a caregiver is highly demanding, making it difficult for the carer to tend to their own needs first. Also, studies have shown that providing care can have a severe impact on one’s physical and mental health, negative emotional effects, and poor treatment of orphaned grandchildren they are caring for as grandparent caregivers [66]. Also, other studies have mentioned that grandparents as primary caregivers stated depression, anxiety, changes in appetite (such as eating too much or too little), hypertension, cardiovascular disease, and chronic fatigue as health conditions they were suffering from as a result of attending to the needs of their orphaned grandchildren. These aforementioned health conditions may be caused or aggravated by the demands and necessities of caregiving to double orphans by grandparents [67]. In addition, there is a critical need to conduct research that will look at an extensive review of health conditions and the health risk for harmful medical issues that may arise among grandparents providing care for double orphans in South Africa.
Furthermore, demographic (age, education), economic (regular salary, pension), and health-related factors (perceived health status, health consultation) in the unadjusted and adjusted models of the multivariate analysis of this study have been shown to influence health conditions of grandparents as caregivers to their double orphaned grandchildren, and this assertion is in tandem with the findings of other studies [7,38]. In this context, this study found that among grandparents as caregivers, those aged 55+ years caring for male double orphans had more odds of experiencing health conditions compared to those aged 25–34 years, and this result is supported by several studies [38,66]. This may be due to the fact that with increasing age of older persons, their bones tend to shrink in size and density, weakening them and making them more susceptible to fracture. Generally, in older persons, their muscles tend to lose strength, endurance and flexibility, which can affect their coordination, stability and balance. Also, at the genetic level, ageing results from the impact of the accumulation of a wide variety of molecular and cellular damage over time [60,66]. Stress and exhaustion from caregiving can lead to a gradual decrease in physical and mental capacity, a growing risk of disease, and ultimately death [68].
Thus, given that they are only somewhat connected to an individual’s age, these changes are neither linear nor consistent. Despite biological changes, ageing can frequently be attributed to other major life events like retirement, moving to a more suitable home, and the death of “significant others,” and South Africa, like many countries globally, is experiencing a significant demographic shift with the rapid growth of its ageing population [1,69]. Also, studies have shown that grandparents with primary education had higher odds of experiencing health challenges as they are less likely to have adequate and appropriate knowledge on how to prevent and manage these health conditions resulting from caregiving to their grandchildren, compared to their counterparts with no education [11,70]. The finding is consistent with past research that has found that grandparents with lower educational attainment may have poorer health than those with greater educational attainment [39,71]. This pattern is attributed to the large health inequalities brought about by education. However, these study findings revealed that grandparents with higher education in the adjusted model had higher odds of health challenges experienced as a result of being the primary caregiver to their grandchildren. This study finding is not inconsistent with previous studies, as a few other studies have mentioned that educated grandparents experience health challenges owing to self-neglect. Recent studies have evidently stated that self-neglect is linked with adverse outcomes concerned with older adults’ physical [4] and psychological well-being [6], illness [38,39], death [68] and healthcare utilization [72,73].
Results from our study show that grandparents with economic factors such as no regular salary or pension were related with increased chances for health challenges experienced. This supports earlier studies, which posited that people with a lower socioeconomic status tend to be more prone to health issues that comes from pressure and strenuous activities [1,5]. The reason grandparents with no regular salary or pension are plagued with health conditions when acting as the primary caregiver to their grandchildren may be associated with ‘fear of the unknown’ in trying to keep up with increased responsibilities associated with earning more. Studies have shown that many fears of grandparents who are caregivers to their grandchildren without a regular salary or pension can be traced to a negative experience that has been traumatic when proper care is not given to their double orphaned grandchildren [7,35]. A few studies have also believed that phobias can stem from a learned history, and many older adults are susceptible to being anxious about the unknown and may lead to developing a fear of the unknown [23]. Moreover, this study found significant differences in the influence of health-related factors such as perceived health status and health consultation among grandparents in this study. For instance, literature has shown that, over the years, poor perceived health status has been associated with increased odds of experiencing health challenges [19,22]. In agreement with these earlier findings, this study found that grandparents with poor perceived health status were associated with higher odds of experiencing health challenges as primary caregivers to their grandchildren. In agreement with these earlier findings, this study found that perceived health status is associated with healthcare service utilization and illness in developing countries [74,75]. Yet, little is known about the factors associated with perceived health status among grandparents who are primary caregivers to their double orphaned grandchildren [41,55].
Furthermore, grandparents who never had a health consultation are more likely to experience health conditions. Studies have claimed that knowledge or information gained through interactions with individuals whose presence extends beyond the scope of a single medical visit may alter choices over time and affect behaviours [57,76]. According to a different research, using alternate information sources may affect how well people communicate during consultations with healthcare providers [32,36]. For instance, in this era of internet and social media platforms, rich sources of information and expert knowledge can be made available to grandparents through internet platforms if they have the facilities to access internet files. Other studies have acknowledged a range of other external persons that can motivate positive and healthy communication with their ‘significant others’ during healthcare consultations [4,11]. For example, a patient’s family, a doctor’s social and health network, and the media (radio, newspapers, and television) play an important role in grandparents’ clinic sessions. Thus, grandparents’ consultation on their health conditions is very important in influencing the improvement of their personal health with shared decision-making.
4.1. Further Discussion: Insights from changing demography of grandparenthood in South Africa
Demographic changes affect the time that individuals spend in different family roles, and one type of family relationship affected by early fertility is grandparenthood. Historically and in modern-day societies, three-generation families are more common now than earlier, because children and grandchildren have higher chances of survival, and more people live long enough to see their grandchildren grow (Margolis, 2016). However, family formation patterns have also changed, as fertility declines, leading to increased childlessness; also, the postponement of marriage and childbearing affect the proportion of the population that ever-become grandparents and the age at which grandparenthood begins for either younger or older age cohorts (See Appendices 1‒8) (Statistics South Africa, 2021). Thus, in contemporary South Africa, many families continue to undergo family transition and changes in family formation, with a range of challenges. A majority of South African families are being confronted with dual challenges of poverty and unemployment, making economic provision much more difficult in rural households. Since 1994, HIV/AIDS and TB, and more recently the Covid-19 pandemic (Hosegood, 2009; Artz et al., 2016), have placed families under significant strain, with the loss of caregivers and economic providers, as families in South Africa are characterized by significant resilience.
However, being a grandparent relates to a life-course, and is clearly defined by status which determines and affects other stages in the life course, as being a grandparent is linked to retirement. Yet, the transition to grandparenthood is associated with a change in status, roles, and identities which vary greatly in different contexts. However, the concepts of grandparenthood and ageing are related, as a result of the normative age at childbearing may be linked to the timing of grandparenthood and the social definition of ageing but may diverge from social expectations. Therefore, unlike ageing, grandparenting occurs “within a wider and more flexible age range” (Statistics South Africa, 2018). According to Statistics South Africa (2021), more than 207 children were married, comprised of 188 brides and 19 grooms, and these marriages were officially documented. Of the child marriages, 37 were registered as civil marriages and 19 were customary marriages (Statistics South Africa, 2021).
In South Africa, younger adult grandparents aged 30 – 39 years (297 females and 40 males) have been documented in Statistics South Africa (2018). Many marriages conducted in the customs and traditions in the rural communities were not documented with the Department of Home Affairs, leading to under-reporting of cases of early child marriages in South Africa. Thus, several factors have been associated with the emergence of younger grandparents in South Africa such as increased child marriage (UNICEF, 2022), teenage pregnancies, Ukuthwala cultural practices, income generated from lobola negotiations, lack of accountability of community leaders towards child kidnapping, and religious beliefs. These factors have been shown to contribute to the demographic changes of the emergence of early grandparenthood in South Africa (Statistics South Africa, 2018). Regarding child marriage, Eastern and Southern Africa are among the regions with the highest prevalence of child marriage globally. At present, nearly one third (32%) of the region’s young females were married before age 18 (Mwambene, 2018). Concerning teenage pregnancies, Statistics South Africa (2020) reported almost 34,000 teenage pregnancies, with 660 of those being girls under the age of 13 (Payne et al., 2020; Jonas, 2021). In South Africa, some of these teenage pregnancies have been linked to rape cases and arranged marriages (Statistics South Africa, 2020).
Also, the prevalence of teenage pregnancies is high and is associated with rape and indecent sexual relationship among teens. Most of these teens do not have knowledge of the use of contraception or have access to sexual and reproductive health clinics. These barriers have led to an increased number of teenage mothers and fathers having children, resulting in their own children following the same path of being a teenage parent, and making their parents become young adult grandparents (Statistics South Africa, 2020; Jonas, 2021). Also, Ukuthwala cultural practices have been reported to contribute to early grandparenthood, as it is a cultural form of abduction that involves kidnapping a girl or a young woman by a man and his friends or peers with the intention of compelling the woman’s family to endorse marriage negotiations (Mwambene et al., 2021). Also, it was once an acceptable way for two young people in love to get married when their families opposed the match (and so was actually a form of elopement) (Matshidze et al., 2017; Mwambene et al., 2021). Over time, Ukuthwala has been abused, however, “to victimize isolated rural women and enrich male relatives”, as older men are taking advantage of the cultural practices by marrying these children and sexually abusing them (Kheswa et al., 2014; Matshidze et al., 2017). This type of cultural practice is common among the Xhosa and Zulu people from the Eastern Cape, Limpopo, and KwaZulu-Natal provinces (Rice, 2014).
Similarly, Lobola payment is a cultural practice in South Africa where a bride price is paid to the bride’s family for her hand in marriage. This customs are sometimes abused and excused to erode human dignity and reinforce corrupt tendencies. This demeaning behaviour often handicaps the social welfare of a society and Lobola payment appears to be one of the most exploited praxes. Studies have shown that the identity of Lobola has shifted from a token of appreciation to a commercial activity, where the female family from a poor rural household generates income from the Lobola negotiations without their female relative consenting to marriage activities (Diala et al., 2021; Sennott et al., 2021). Religious leaders’ frown upon children born outside wedlock, and pregnant teenagers are forced to enter into marriage, as illegitimacy is regarded as sin-related, with the stigma justified as a reprimand from God. This form of coercive behaviour has aided early child marriages with pregnancies, without addressing the roots of early sexual orientation among teenagers.
In South Africa, the rights of illegitimate children are protected and recognised by the Children’s Act of 2005. This law has abolished legal differences involving legitimate and illegitimate children, who are now treated equally in terms of inheritance rights (Nabugoomu et al., 2020; Mkwananzi et al., 2022). Few studies have linked this intergenerational transition of demography of grandparenthood. Demographic transitions of family formation are linked with composition and transition of various family types. However, daughters of teenage mothers have been shown to be more likely to become teenage mothers at younger ages, linking teenage fertility to family birth history (Margolis, 2016). According to the theory of socialization, children born to teenage mothers have a higher chance of being teenage mothers, resulting in inter-generational transmission of early childbearing, owing to factors such as reduced parenting, marital instability, and an environment of poor socio-economic conditions (Sooryamoorthy et al., 2016; Makiwane et al., 2017). In South Africa, fertility behaviour of teen mothers, such as their age at first birth, have been observed to influence the age at first birth of their daughters, as family disorganization traits can be transmitted to their daughters by teen mothers (Chenga et al., 2014).
4.2. Strengths and limitations of the study
This study has several major strengths and limitations. First, to the best of the authors’ knowledge, this is the first cross-sectional survey and nationally representative data that investigated the sociology of ageing and demography of ageing among grandparents who are caregivers to their double orphaned grandchildren. Second, the data analysis was basically conducted to determine the prevalence of grandparents who are caregivers to double orphans as in South Africa and associations based on the likelihood of the explanatory factors, and not provide a measure of causality; however, insight can be gained from using the 2017 National Income Dynamics Study (NIDS) wave 5 datasets from South Africa to improve the study’s generalizability to other settings or populations. Third, to the best of the author’s knowledge, this is the first time that binary logistic regression models was aimed at elucidating the explanatory factors of the likelihood of the health outcomes of grandparents caring for double orphans in South Africa. There were some limitations, however, that need to be highlighted. First, owing to the nature of the study, we cannot draw causal inferences from the findings. This study also suggests the use of ethnographic methods that may unravel other possibilities that may influence the health outcomes of grandparents caring for their double orphaned grandchildren.
4.3. Implications for Social Gerontology and Demography of Ageing Research and Practice
The finding is consistent with previous studies that have found that grandparents with lower educational attainment may have poorer health than those with greater educational attainment. In most cases, grandparents have taken over the full responsibility of bringing up grandchildren as a result of unemployment, drug or alcohol abuse, or death. In South Africa, the aforementioned concern is exacerbated by changes in family structure owing to the severe impact of HIV/AIDS-related deaths, especially among young adult parents, leaving behind many orphaned children. This has brought about a change of roles for many grandparents, who have felt morally and culturally obliged to take care of their grandchildren, despite not being prepared for this parenting role. This study’s findings showed that there is a positive association between grandparents’ health outcomes and the role of caregiving to grandchildren, which agrees with several studies [4,10]. The growing number of grandparents as caregivers increases demands on the public health system and on medical and social services, due to adverse health conditions, contributing to disability, diminish quality of life, and increased health- and long-term-care costs. Therefore, to address this social issues, insights from this study will be valuable to social and healthcare practitioners, who play a vital role in offering services to grandparents as caregivers to their grandchildren who are doubly orphaned. There is a need for collaboration between various stakeholders and community health workers to empower and harness grandparents’ resilience to continue caring for their doubly orphaned grandchildren. Social gerontologists and demographers of aging recognize the significance of collaboration and team work, therefore through their research and practices will go a long way to provide platforms for developing appropriate and adequate health interventions that will create welfare resources that will cater to the needs of grandparents taking the role of caregivers. Furthermore, policymakers, academics and relevant role players will gain an in-depth understanding of this phenomenon from the South African context.
5. Conclusion and Recommendations
Given the findings of this study, social gerontologists and demographers of aging may identify strengths and needs of grandparents as caregivers in order to determine the type of support system and services to improve their social and health welfare. This suggests that demographic, economic, and health-related factors are important in re-shaping health challenges experienced by grandparents as primary caregivers to double orphans in South Africa. Researchers and practitioners should incorporate these aspects in order to re-design strategic interventions and initiatives to develop future research that will tackle and address the health needs of these grandparents. Social gerontologists, demographers and sociologists should collaborate to develop a platform of advocacy for the unique needs of grandparents providing care to their double orphaned grandchildren in order to improve the quality of the care by minimizing the impact of age-related diseases and conditions, which vary depending on a person’s race, gender, and health. Furthermore, grandparents may be taught about their rights and responsibilities as well as the importance of sharing their social and health challenges with relevant community health workers, and family members whom they trust, to offload the burden of anxiety and worry. Lastly, policy makers should develop and implement policies that respond to the plight of grandparents caring for grandchildren who are doubly orphaned.
Authors’ contributions: SL conceived the idea, extracted data, did data analysis, and made payment of manuscript editing fees. MEA conceptualized the idea, developed the design sections of the manuscript, did part of the data analysis, reviewed the results of the data analysis, drafted the manuscript, and led the process of critical revision of the manuscript. GNO developed the design section of the manuscript, critically reviewed the manuscript and was responsible for the APC fees for this manuscript’s publication. ESI is the postdoc Advisor of MEA. All authors read and consented for the manuscript to be submitted for peer review.
Funding
This study was not funded.
Institutional Review Board Statement
Ethical review and approval for procedures and questionnaires for standard NIDS–CRAM survey was granted by the Commerce Faculty Ethics Committee of the University of Cape Town and the Research Ethics Committee: Social, Behavioural and Education Research, of the University of Stellenbosch.
Informed Consent Statement
All human subjects gave their informed consent for inclusion before they participated in the study. Procedures and questionnaires for standard NIDS surveys have been reviewed and approved by the Institutional Review Board (IRB) of Commerce Faculty Ethics Committee of the University of Cape Town and the Research Ethics Committee: Social, Behavioural and Education Research, of the University of Stellenbosch. We obtained approval to use the 2017 NIDS datasets from the NIDS repository http://www.nids.uct.ac.za › nids-cram › data-access. The NIDS-CRAM survey data collection and production operations were implemented by the Southern Africa Labour and Development Research Unit (SALDRU) based at the University of Cape Town. The study was conducted in accordance with the Declaration of Helsinki, as well as with the relevant ethical guidelines and regulations. The protocol was approved by the Ethics Committee of Commerce Faculty Ethics Committee of the University of Cape Town and the Research Ethics Committee of the NIDS Programme/(Reference ID: zaf-saldru-nids-2017-v1.0.0).
Data Availability Statement
Data are from the Demographic and Health Survey and the dataset is open to qualified researchers free of charge. In order to access the data from NIDS-CRAM survey, a written request was submitted to the NID-CRAM and permission was granted to use the data for this survey. To request access to the dataset, please apply at http://www.nids.uct.ac.za/nids-data/documentation/overview-documentation/wave-5
Ethics approval and consent to participate: This study only makes use of secondary data without involving any human subjects. Therefore, no formal ethical approval was required. However, the request to use the data was sought from the 2017 NIDS Wave 5 datasets. Permission was given subject to using the data for this particular research topic only and publishing the findings in a peer-reviewed journal.
Consent for publication: Not applicable
Acknowledgments
The authors are grateful to the Southern Africa Labour and Development Research Unit and the University of Cape Town, South Africa, for providing them with access to the dataset. We are also thankful to Mrs. Helen Thomas for her support in language editing. The authors also gratefully acknowledge the support of Statistics South Africa and North-West University Faculty of Humanities, Mafikeng, South Africa, for funding the 2023 South African Sociological Association conference, University of Zululand, South Africa.
Competing interests: Authors declare that there is no competing interest.
Abbreviations
UAOR: Unadjusted Odds Ratio; AOR: Adjusted Odds Ratio; NIDS: National Income Dynamics Study; CSMs: Continuing Sample Members; TSMs: Temporary Sample Members; PLWHIV: People living with HIV; HIV: Human Immunodeficiency Virus; AIDS: Acquired Immunodeficiency Syndrome; SALDRU: Southern Africa Labour and Development Research Unit; DPME: Department of Planning, Monitoring and Evaluation
Appendix A
Table A1.
Single age of younger grandparents – 25-34 years old.
| Age | Frequency | % |
|---|---|---|
| 25 | 10027 | 3.32 |
| 26 | 13979 | 4.62 |
| 27 | 5621 | 1.86 |
| 28 | 4204 | 1.39 |
| 29 | 5656 | 1.87 |
| 30 | 3109 | 1.03 |
| 31 | 10481 | 3.47 |
| 32 | 10575 | 3.50 |
| 33 | 10115 | 3.34 |
| 34 | 3939 | 1.30 |
Table A2.
Single Age of younger grandparents by Sex (25-34 years old).
| Age | Male | Female | Total | |||
|---|---|---|---|---|---|---|
| Frequency | % | Frequency | % | Frequency | % | |
| 25 | 5393 | 4.94 | 4634 | 2.40 | 10027 | 3.32 |
| 26 | 7778 | 7.13 | 6202 | 3.21 | 13979 | 4.62 |
| 27 | 2277 | 2.09 | 3344 | 1.73 | 5621 | 1.86 |
| 28 | 1558 | 1.43 | 2646 | 1.37 | 4204 | 1.39 |
| 29 | 2773 | 2.54 | 2883 | 1.49 | 5656 | 1.87 |
| 30 | 2266 | 2.08 | 842 | 0.44 | 3109 | 1.03 |
| 31 | 7637 | 7.00 | 2845 | 1.47 | 10481 | 3.47 |
| 32 | 3174 | 2.91 | 7400 | 3.83 | 10575 | 3.50 |
| 33 | 1926 | 1.76 | 8190 | 4.24 | 10115 | 3.34 |
| 34 | 1698 | 1.56 | 2241 | 1.16 | 3939 | 1.30 |
Table A3.
Single age by province (Frequency) (25-34 years old).
| Age | Western Cape | Eastern Cape | Northern Cape | Free State | KwaZulu-Natal | North West | Gauteng | Mpumalanga | Limpopo | South Africa |
|---|---|---|---|---|---|---|---|---|---|---|
| 25 | 864 | 4440 | 127 | 0 | 604 | 0 | 1944 | 2049 | 0 | 10027 |
| 26 | 3847 | 0 | 852 | 2922 | 1131 | 973 | 2030 | 0 | 2225 | 13979 |
| 27 | 83 | 316 | 0 | 0 | 3184 | 1707 | 330 | 0 | 0 | 5621 |
| 28 | 102 | 0 | 0 | 0 | 1456 | 0 | 0 | 2646 | 0 | 4204 |
| 29 | 913 | 1413 | 403 | 219 | 612 | 0 | 1950 | 147 | 0 | 5656 |
| 30 | 210 | 0 | 0 | 0 | 1035 | 0 | 1864 | 0 | 0 | 3109 |
| 31 | 165 | 1350 | 0 | 278 | 157 | 0 | 8532 | 0 | 0 | 10481 |
| 32 | 0 | 1304 | 0 | 2650 | 2990 | 946 | 1839 | 0 | 845 | 10575 |
| 33 | 0 | 2154 | 0 | 547 | 786 | 0 | 2981 | 0 | 3646 | 10115 |
| 34 | 660 | 2036 | 0 | 0 | 0 | 0 | 522 | 720 | 0 | 3939 |
Table A4.
Single Age by Province (Percentage) (25-34 years old).
| Age | Western Cape | Eastern Cape | Northern Cape | Free State | KwaZulu-Natal | North West | Gauteng | Mpumalanga | Limpopo | South Africa |
|---|---|---|---|---|---|---|---|---|---|---|
| 25 | 1.93 | 13.03 | 2.32 | 0.00 | 1.13 | 0.00 | 2.09 | 10.49 | 0.00 | 3.32 |
| 26 | 8.60 | 0.00 | 15.56 | 25.47 | 2.12 | 6.92 | 2.19 | 0.00 | 8.26 | 4.62 |
| 27 | 0.19 | 0.93 | 0.00 | 0.00 | 5.96 | 12.14 | 0.36 | 0.00 | 0.00 | 1.86 |
| 28 | 0.23 | 0.00 | 0.00 | 0.00 | 2.73 | 0.00 | 0.00 | 13.55 | 0.00 | 1.39 |
| 29 | 2.04 | 4.15 | 7.36 | 1.91 | 1.15 | 0.00 | 2.10 | 0.75 | 0.00 | 1.87 |
| 30 | 0.47 | 0.00 | 0.00 | 0.00 | 1.94 | 0.00 | 2.01 | 0.00 | 0.00 | 1.03 |
| 31 | 0.37 | 3.96 | 0.00 | 2.42 | 0.29 | 0.00 | 9.19 | 0.00 | 0.00 | 3.47 |
| 32 | 0.00 | 3.83 | 0.00 | 23.10 | 5.60 | 6.73 | 1.98 | 0.00 | 3.14 | 3.50 |
| 33 | 0.00 | 6.32 | 0.00 | 4.77 | 1.47 | 0.00 | 3.21 | 0.00 | 13.53 | 3.34 |
| 34 | 1.48 | 5.98 | 0.00 | 0.00 | 0.00 | 0.00 | 0.56 | 3.69 | 0.00 | 1.30 |
Table A5.
Single age of grandparent caregivers of double orphans in South Africa, 2017.
| Age | Frequency | % |
|---|---|---|
| 25 | 10027 | 3.32 |
| 26 | 13979 | 4.62 |
| 27 | 5621 | 1.86 |
| 28 | 4204 | 1.39 |
| 29 | 5656 | 1.87 |
| 30 | 3109 | 1.03 |
| 31 | 10481 | 3.47 |
| 32 | 10575 | 3.50 |
| 33 | 10115 | 3.34 |
| 34 | 3939 | 1.30 |
| 35 | 3510 | 1.16 |
| 36 | 3397 | 1.12 |
| 37 | 4711 | 1.56 |
| 38 | 8940 | 2.96 |
| 39 | 16665 | 5.51 |
| 40 | 9219 | 3.05 |
| 41 | 6218 | 2.06 |
| 42 | 1052 | 0.35 |
| 43 | 6564 | 2.17 |
| 44 | 5113 | 1.69 |
| 45 | 1864 | 0.62 |
| 46 | 9032 | 2.99 |
| 47 | 10764 | 3.56 |
| 48 | 1175 | 0.39 |
| 49 | 3943 | 1.30 |
| 50 | 2059 | 0.68 |
| 51 | 4915 | 1.62 |
| 52 | 12398 | 4.10 |
| 53 | 8199 | 2.71 |
| 54 | 3500 | 1.16 |
| 55 | 4331 | 1.43 |
| 56 | 815 | 0.27 |
| 57 | 6171 | 2.04 |
| 58 | 8509 | 2.81 |
| 59 | 7961 | 2.63 |
| 60 | 6877 | 2.27 |
| 61 | 2438 | 0.81 |
| 62 | 8458 | 2.80 |
| 63 | 5872 | 1.94 |
| 64 | 60 | 0.02 |
| 65 | 7071 | 2.34 |
| 66 | 884 | 0.29 |
| 67 | 1139 | 0.38 |
| 68 | 5557 | 1.84 |
| 70 | 2531 | 0.84 |
| 71 | 4522 | 1.50 |
| 72 | 4386 | 1.45 |
| 73 | 721 | 0.24 |
| 74 | 8752 | 2.89 |
| 75 | 395 | 0.13 |
| 77 | 1781 | 0.59 |
| 78 | 762 | 0.25 |
| 82 | 6297 | 2.08 |
| 84 | 114 | 0.04 |
| 85 | 616 | 0.20 |
| 86 | 2585 | 0.85 |
| 99 | 1929 | 0.64 |
| Total | 302,476 | 100 |
Table A6.
Single age by sex of grandparent caregivers of double orphans in South Africa, 2017.
| Age | Male | Female | Total | |||
|---|---|---|---|---|---|---|
| Frequency | % | Frequency | % | Frequency | % | |
| 25 | 5393 | 4.94 | 4634 | 2.40 | 10027 | 3.32 |
| 26 | 7778 | 7.13 | 6202 | 3.21 | 13979 | 4.62 |
| 27 | 2277 | 2.09 | 3344 | 1.73 | 5621 | 1.86 |
| 28 | 1558 | 1.43 | 2646 | 1.37 | 4204 | 1.39 |
| 29 | 2773 | 2.54 | 2883 | 1.49 | 5656 | 1.87 |
| 30 | 2266 | 2.08 | 842 | 0.44 | 3109 | 1.03 |
| 31 | 7637 | 7.00 | 2845 | 1.47 | 10481 | 3.47 |
| 32 | 3174 | 2.91 | 7400 | 3.83 | 10575 | 3.50 |
| 33 | 1926 | 1.76 | 8190 | 4.24 | 10115 | 3.34 |
| 34 | 1698 | 1.56 | 2241 | 1.16 | 3939 | 1.30 |
| 35 | 2212 | 2.03 | 1298 | 0.67 | 3510 | 1.16 |
| 36 | 536 | 0.49 | 2862 | 1.48 | 3397 | 1.12 |
| 37 | 1419 | 1.30 | 3292 | 1.70 | 4711 | 1.56 |
| 38 | 4311 | 3.95 | 4629 | 2.39 | 8940 | 2.96 |
| 39 | 8932 | 8.19 | 7733 | 4.00 | 16665 | 5.51 |
| 40 | 3664 | 3.36 | 5555 | 2.87 | 9219 | 3.05 |
| 41 | 503 | 0.46 | 5715 | 2.96 | 6218 | 2.06 |
| 42 | 856 | 0.78 | 196 | 0.10 | 1052 | 0.35 |
| 43 | 226 | 0.21 | 6338 | 3.28 | 6564 | 2.17 |
| 44 | 3677 | 3.37 | 1436 | 0.74 | 5113 | 1.69 |
| 45 | 0 | 0.00 | 1864 | 0.96 | 1864 | 0.62 |
| 46 | 3514 | 3.22 | 5518 | 2.85 | 9032 | 2.99 |
| 47 | 784 | 0.72 | 9980 | 5.16 | 10764 | 3.56 |
| 48 | 0 | 0.00 | 1175 | 0.61 | 1175 | 0.39 |
| 49 | 1458 | 1.34 | 2485 | 1.29 | 3943 | 1.30 |
| 50 | 1044 | 0.96 | 1015 | 0.53 | 2059 | 0.68 |
| 51 | 946 | 0.87 | 3969 | 2.05 | 4915 | 1.62 |
| 52 | 1913 | 1.75 | 10485 | 5.42 | 12398 | 4.10 |
| 53 | 2149 | 1.97 | 6050 | 3.13 | 8199 | 2.71 |
| 54 | 3148 | 2.88 | 352 | 0.18 | 3500 | 1.16 |
| 55 | 292 | 0.27 | 4039 | 2.09 | 4331 | 1.43 |
| 56 | 0 | 0.00 | 815 | 0.42 | 815 | 0.27 |
| 57 | 2225 | 2.04 | 3946 | 2.04 | 6171 | 2.04 |
| 58 | 928 | 0.85 | 7580 | 3.92 | 8509 | 2.81 |
| 59 | 3263 | 2.99 | 4698 | 2.43 | 7961 | 2.63 |
| 60 | 657 | 0.60 | 6220 | 3.22 | 6877 | 2.27 |
| 61 | 1438 | 1.32 | 1000 | 0.52 | 2438 | 0.81 |
| 62 | 7321 | 6.71 | 1136 | 0.59 | 8458 | 2.80 |
| 63 | 704 | 0.64 | 5169 | 2.67 | 5872 | 1.94 |
| 64 | 60 | 0.06 | 0 | 0.00 | 60 | 0.02 |
| 65 | 5630 | 5.16 | 1441 | 0.75 | 7071 | 2.34 |
| 66 | 884 | 0.81 | 0 | 0.00 | 884 | 0.29 |
| 67 | 1139 | 1.04 | 0 | 0.00 | 1139 | 0.38 |
| 68 | 0 | 0.00 | 5557 | 2.87 | 5557 | 1.84 |
| 70 | 0 | 0.00 | 2531 | 1.31 | 2531 | 0.84 |
| 71 | 1839 | 1.69 | 2683 | 1.39 | 4522 | 1.50 |
| 72 | 3602 | 3.30 | 785 | 0.41 | 4386 | 1.45 |
| 73 | 721 | 0.66 | 0 | 0.00 | 721 | 0.24 |
| 74 | 0 | 0.00 | 8752 | 4.53 | 8752 | 2.89 |
| 75 | 395 | 0.36 | 0 | 0.00 | 395 | 0.13 |
| 77 | 42 | 0.04 | 1738 | 0.90 | 1781 | 0.59 |
| 78 | 0 | 0.00 | 762 | 0.39 | 762 | 0.25 |
| 82 | 98 | 0.09 | 6199 | 3.21 | 6297 | 2.08 |
| 84 | 114 | 0.10 | 0 | 0.00 | 114 | 0.04 |
| 85 | 0 | 0.00 | 616 | 0.32 | 616 | 0.20 |
| 86 | 0 | 0.00 | 2585 | 1.34 | 2585 | 0.85 |
| 99 | 0 | 0.00 | 1929 | 1.00 | 1929 | 0.64 |
| Total | 109122 | 100 | 193354 | 100 | 302476 | 100 |
Table A7.
Frequency distribution of single age by province among grandparent caregivers of double orphans in South Africa, 2017.
Table A7.
Frequency distribution of single age by province among grandparent caregivers of double orphans in South Africa, 2017.
| Age/Province | Western Cape | Eastern Cape | Northern Cape | Free State | KwaZulu-Natal | North West | Gauteng | Mpumalanga | Limpopo | South Africa |
|---|---|---|---|---|---|---|---|---|---|---|
| 25 | 864 | 4440 | 127 | 0 | 604 | 0 | 1944 | 2049 | 0 | 10027 |
| 26 | 3847 | 0 | 852 | 2922 | 1131 | 973 | 2030 | 0 | 2225 | 13979 |
| 27 | 83 | 316 | 0 | 0 | 3184 | 1707 | 330 | 0 | 0 | 5621 |
| 28 | 102 | 0 | 0 | 0 | 1456 | 0 | 0 | 2646 | 0 | 4204 |
| 29 | 913 | 1413 | 403 | 219 | 612 | 0 | 1950 | 147 | 0 | 5656 |
| 30 | 210 | 0 | 0 | 0 | 1035 | 0 | 1864 | 0 | 0 | 3109 |
| 31 | 165 | 1350 | 0 | 278 | 157 | 0 | 8532 | 0 | 0 | 10481 |
| 32 | 0 | 1304 | 0 | 2650 | 2990 | 946 | 1839 | 0 | 845 | 10575 |
| 33 | 0 | 2154 | 0 | 547 | 786 | 0 | 2981 | 0 | 3646 | 10115 |
| 34 | 660 | 2036 | 0 | 0 | 0 | 0 | 522 | 720 | 0 | 3939 |
| 35 | 1298 | 0 | 0 | 0 | 0 | 0 | 0 | 2212 | 0 | 3510 |
| 36 | 2171 | 0 | 0 | 0 | 536 | 0 | 690 | 0 | 0 | 3397 |
| 37 | 0 | 0 | 412 | 278 | 934 | 0 | 0 | 1419 | 1668 | 4711 |
| 38 | 481 | 0 | 0 | 1117 | 2695 | 0 | 3097 | 538 | 1012 | 8940 |
| 39 | 3164 | 2011 | 0 | 0 | 4902 | 0 | 6588 | 0 | 0 | 16665 |
| 40 | 2839 | 824 | 0 | 0 | 885 | 0 | 2445 | 0 | 2225 | 9219 |
| 41 | 0 | 1099 | 0 | 0 | 0 | 764 | 4355 | 0 | 0 | 6218 |
| 42 | 196 | 0 | 0 | 0 | 856 | 0 | 0 | 0 | 0 | 1052 |
| 43 | 226 | 1350 | 0 | 0 | 650 | 0 | 580 | 3757 | 0 | 6564 |
| 44 | 0 | 2714 | 336 | 0 | 784 | 0 | 1279 | 0 | 0 | 5113 |
| 45 | 0 | 0 | 0 | 0 | 1104 | 0 | 760 | 0 | 0 | 1864 |
| 46 | 0 | 0 | 0 | 0 | 462 | 2087 | 4475 | 0 | 2008 | 9032 |
| 47 | 0 | 0 | 0 | 0 | 784 | 0 | 9980 | 0 | 0 | 10764 |
| 48 | 667 | 0 | 0 | 288 | 0 | 0 | 220 | 0 | 0 | 1175 |
| 49 | 970 | 703 | 580 | 0 | 231 | 0 | 421 | 0 | 1037 | 3943 |
| 50 | 0 | 0 | 0 | 0 | 0 | 0 | 1044 | 1015 | 0 | 2059 |
| 51 | 620 | 2585 | 0 | 0 | 426 | 946 | 0 | 0 | 337 | 4915 |
| 52 | 8369 | 0 | 0 | 0 | 2116 | 0 | 1913 | 0 | 0 | 12398 |
| 53 | 4212 | 703 | 0 | 0 | 1445 | 1043 | 0 | 86 | 708 | 8199 |
| 54 | 352 | 0 | 0 | 0 | 226 | 0 | 2922 | 0 | 0 | 3500 |
| 55 | 0 | 0 | 0 | 0 | 292 | 0 | 4039 | 0 | 0 | 4331 |
| 56 | 0 | 0 | 0 | 0 | 815 | 0 | 0 | 0 | 0 | 815 |
| 57 | 846 | 0 | 0 | 0 | 803 | 1117 | 1181 | 0 | 2225 | 6171 |
| 58 | 7159 | 0 | 0 | 0 | 422 | 0 | 928 | 0 | 0 | 8509 |
| 59 | 0 | 718 | 439 | 770 | 1247 | 0 | 3019 | 432 | 1335 | 7961 |
| 60 | 0 | 0 | 640 | 0 | 2220 | 1721 | 657 | 251 | 1389 | 6877 |
| 61 | 0 | 587 | 505 | 0 | 604 | 0 | 741 | 0 | 0 | 2438 |
| 62 | 679 | 0 | 0 | 0 | 599 | 0 | 5351 | 0 | 1829 | 8458 |
| 63 | 0 | 0 | 0 | 0 | 3586 | 0 | 0 | 725 | 1561 | 5872 |
| 64 | 60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 |
| 65 | 0 | 4341 | 0 | 0 | 741 | 700 | 0 | 1289 | 0 | 7071 |
| 66 | 0 | 0 | 0 | 0 | 884 | 0 | 0 | 0 | 0 | 884 |
| 67 | 0 | 0 | 0 | 475 | 0 | 0 | 0 | 0 | 664 | 1139 |
| 68 | 0 | 1563 | 333 | 0 | 820 | 0 | 2841 | 0 | 0 | 5557 |
| 70 | 0 | 601 | 0 | 0 | 769 | 0 | 1161 | 0 | 0 | 2531 |
| 71 | 0 | 1254 | 0 | 0 | 0 | 0 | 1839 | 1430 | 0 | 4522 |
| 72 | 278 | 0 | 0 | 0 | 3895 | 213 | 0 | 0 | 0 | 4386 |
| 73 | 138 | 0 | 0 | 0 | 583 | 0 | 0 | 0 | 0 | 721 |
| 74 | 0 | 0 | 0 | 0 | 884 | 1323 | 6546 | 0 | 0 | 8752 |
| 75 | 0 | 0 | 395 | 0 | 0 | 0 | 0 | 0 | 0 | 395 |
| 77 | 0 | 0 | 0 | 0 | 42 | 0 | 1738 | 0 | 0 | 1781 |
| 78 | 0 | 0 | 240 | 0 | 0 | 522 | 0 | 0 | 0 | 762 |
| 82 | 3164 | 0 | 98 | 0 | 0 | 0 | 0 | 810 | 2225 | 6297 |
| 84 | 0 | 0 | 114 | 0 | 0 | 0 | 0 | 0 | 0 | 114 |
| 85 | 0 | 0 | 0 | 0 | 616 | 0 | 0 | 0 | 0 | 616 |
| 86 | 0 | 0 | 0 | 0 | 2585 | 0 | 0 | 0 | 0 | 2585 |
| 99 | 0 | 0 | 0 | 1929 | 0 | 0 | 0 | 0 | 0 | 1929 |
| Total | 44732 | 34070 | 5475 | 11472 | 53401 | 14061 | 92799 | 19525 | 26940 | 302476 |
Table A8.
Percentage distribution of single age by province among grandparent caregivers of double orphans in South Africa, 2017.
Table A8.
Percentage distribution of single age by province among grandparent caregivers of double orphans in South Africa, 2017.
| Age/Province | Western Cape | Eastern Cape | Northern Cape | Free State | KwaZulu-Natal | North West | Gauteng | Mpumalanga | Limpopo | South Africa |
|---|---|---|---|---|---|---|---|---|---|---|
| 25 | 1.93 | 13.03 | 2.32 | 0.00 | 1.13 | 0.00 | 2.09 | 10.49 | 0.00 | 3.32 |
| 26 | 8.60 | 0.00 | 15.56 | 25.47 | 2.12 | 6.92 | 2.19 | 0.00 | 8.26 | 4.62 |
| 27 | 0.19 | 0.93 | 0.00 | 0.00 | 5.96 | 12.14 | 0.36 | 0.00 | 0.00 | 1.86 |
| 28 | 0.23 | 0.00 | 0.00 | 0.00 | 2.73 | 0.00 | 0.00 | 13.55 | 0.00 | 1.39 |
| 29 | 2.04 | 4.15 | 7.36 | 1.91 | 1.15 | 0.00 | 2.10 | 0.75 | 0.00 | 1.87 |
| 30 | 0.47 | 0.00 | 0.00 | 0.00 | 1.94 | 0.00 | 2.01 | 0.00 | 0.00 | 1.03 |
| 31 | 0.37 | 3.96 | 0.00 | 2.42 | 0.29 | 0.00 | 9.19 | 0.00 | 0.00 | 3.47 |
| 32 | 0.00 | 3.83 | 0.00 | 23.10 | 5.60 | 6.73 | 1.98 | 0.00 | 3.14 | 3.50 |
| 33 | 0.00 | 6.32 | 0.00 | 4.77 | 1.47 | 0.00 | 3.21 | 0.00 | 13.53 | 3.34 |
| 34 | 1.48 | 5.98 | 0.00 | 0.00 | 0.00 | 0.00 | 0.56 | 3.69 | 0.00 | 1.30 |
| 35 | 2.90 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 11.33 | 0.00 | 1.16 |
| 36 | 4.85 | 0.00 | 0.00 | 0.00 | 1.00 | 0.00 | 0.74 | 0.00 | 0.00 | 1.12 |
| 37 | 0.00 | 0.00 | 7.52 | 2.42 | 1.75 | 0.00 | 0.00 | 7.27 | 6.19 | 1.56 |
| 38 | 1.08 | 0.00 | 0.00 | 9.73 | 5.05 | 0.00 | 3.34 | 2.76 | 3.76 | 2.96 |
| 39 | 7.07 | 5.90 | 0.00 | 0.00 | 9.18 | 0.00 | 7.10 | 0.00 | 0.00 | 5.51 |
| 40 | 6.35 | 2.42 | 0.00 | 0.00 | 1.66 | 0.00 | 2.63 | 0.00 | 8.26 | 3.05 |
| 41 | 0.00 | 3.23 | 0.00 | 0.00 | 0.00 | 5.43 | 4.69 | 0.00 | 0.00 | 2.06 |
| 42 | 0.44 | 0.00 | 0.00 | 0.00 | 1.60 | 0.00 | 0.00 | 0.00 | 0.00 | 0.35 |
| 43 | 0.51 | 3.96 | 0.00 | 0.00 | 1.22 | 0.00 | 0.63 | 19.24 | 0.00 | 2.17 |
| 44 | 0.00 | 7.97 | 6.14 | 0.00 | 1.47 | 0.00 | 1.38 | 0.00 | 0.00 | 1.69 |
| 45 | 0.00 | 0.00 | 0.00 | 0.00 | 2.07 | 0.00 | 0.82 | 0.00 | 0.00 | 0.62 |
| 46 | 0.00 | 0.00 | 0.00 | 0.00 | 0.86 | 14.84 | 4.82 | 0.00 | 7.45 | 2.99 |
| 47 | 0.00 | 0.00 | 0.00 | 0.00 | 1.47 | 0.00 | 10.75 | 0.00 | 0.00 | 3.56 |
| 48 | 1.49 | 0.00 | 0.00 | 2.51 | 0.00 | 0.00 | 0.24 | 0.00 | 0.00 | 0.39 |
| 49 | 2.17 | 2.06 | 10.60 | 0.00 | 0.43 | 0.00 | 0.45 | 0.00 | 3.85 | 1.30 |
| 50 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.12 | 5.20 | 0.00 | 0.68 |
| 51 | 1.39 | 7.59 | 0.00 | 0.00 | 0.80 | 6.73 | 0.00 | 0.00 | 1.25 | 1.62 |
| 52 | 18.71 | 0.00 | 0.00 | 0.00 | 3.96 | 0.00 | 2.06 | 0.00 | 0.00 | 4.10 |
| 53 | 9.42 | 2.06 | 0.00 | 0.00 | 2.71 | 7.42 | 0.00 | 0.44 | 2.63 | 2.71 |
| 54 | 0.79 | 0.00 | 0.00 | 0.00 | 0.42 | 0.00 | 3.15 | 0.00 | 0.00 | 1.16 |
| 55 | 0.00 | 0.00 | 0.00 | 0.00 | 0.55 | 0.00 | 4.35 | 0.00 | 0.00 | 1.43 |
| 56 | 0.00 | 0.00 | 0.00 | 0.00 | 1.53 | 0.00 | 0.00 | 0.00 | 0.00 | 0.27 |
| 57 | 1.89 | 0.00 | 0.00 | 0.00 | 1.50 | 7.94 | 1.27 | 0.00 | 8.26 | 2.04 |
| 58 | 16.00 | 0.00 | 0.00 | 0.00 | 0.79 | 0.00 | 1.00 | 0.00 | 0.00 | 2.81 |
| 59 | 0.00 | 2.11 | 8.02 | 6.72 | 2.33 | 0.00 | 3.25 | 2.21 | 4.95 | 2.63 |
| 60 | 0.00 | 0.00 | 11.68 | 0.00 | 4.16 | 12.24 | 0.71 | 1.29 | 5.16 | 2.27 |
| 61 | 0.00 | 1.72 | 9.23 | 0.00 | 1.13 | 0.00 | 0.80 | 0.00 | 0.00 | 0.81 |
| 62 | 1.52 | 0.00 | 0.00 | 0.00 | 1.12 | 0.00 | 5.77 | 0.00 | 6.79 | 2.80 |
| 63 | 0.00 | 0.00 | 0.00 | 0.00 | 6.71 | 0.00 | 0.00 | 3.71 | 5.80 | 1.94 |
| 64 | 0.13 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.02 |
| 65 | 0.00 | 12.74 | 0.00 | 0.00 | 1.39 | 4.98 | 0.00 | 6.60 | 0.00 | 2.34 |
| 66 | 0.00 | 0.00 | 0.00 | 0.00 | 1.66 | 0.00 | 0.00 | 0.00 | 0.00 | 0.29 |
| 67 | 0.00 | 0.00 | 0.00 | 4.14 | 0.00 | 0.00 | 0.00 | 0.00 | 2.46 | 0.38 |
| 68 | 0.00 | 4.59 | 6.07 | 0.00 | 1.54 | 0.00 | 3.06 | 0.00 | 0.00 | 1.84 |
| 70 | 0.00 | 1.76 | 0.00 | 0.00 | 1.44 | 0.00 | 1.25 | 0.00 | 0.00 | 0.84 |
| 71 | 0.00 | 3.68 | 0.00 | 0.00 | 0.00 | 0.00 | 1.98 | 7.32 | 0.00 | 1.50 |
| 72 | 0.62 | 0.00 | 0.00 | 0.00 | 7.29 | 1.52 | 0.00 | 0.00 | 0.00 | 1.45 |
| 73 | 0.31 | 0.00 | 0.00 | 0.00 | 1.09 | 0.00 | 0.00 | 0.00 | 0.00 | 0.24 |
| 74 | 0.00 | 0.00 | 0.00 | 0.00 | 1.66 | 9.41 | 7.05 | 0.00 | 0.00 | 2.89 |
| 75 | 0.00 | 0.00 | 7.22 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.13 |
| 77 | 0.00 | 0.00 | 0.00 | 0.00 | 0.08 | 0.00 | 1.87 | 0.00 | 0.00 | 0.59 |
| 78 | 0.00 | 0.00 | 4.39 | 0.00 | 0.00 | 3.71 | 0.00 | 0.00 | 0.00 | 0.25 |
| 82 | 7.07 | 0.00 | 1.78 | 0.00 | 0.00 | 0.00 | 0.00 | 4.15 | 8.26 | 2.08 |
| 84 | 0.00 | 0.00 | 2.09 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.04 |
| 85 | 0.00 | 0.00 | 0.00 | 0.00 | 1.15 | 0.00 | 0.00 | 0.00 | 0.00 | 0.20 |
| 86 | 0.00 | 0.00 | 0.00 | 0.00 | 4.84 | 0.00 | 0.00 | 0.00 | 0.00 | 0.85 |
| 99 | 0.00 | 0.00 | 0.00 | 16.81 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.64 |
| Total | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
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Figure 1.
Graph showing grandparents caring for double orphans by sex.
Figure 2.
Graph showing grandparents caring for double orphans by age (25–65+).
Figure 3.
Graph showing grandparents caring for double orphans by population group.
Table 1.
Social-demographic characteristics of grandparent caregivers stratified by sex of double orphans.
Table 1.
Social-demographic characteristics of grandparent caregivers stratified by sex of double orphans.
| Characteristics | Grandparent caregivers caring for male double orphans (n = 141,671) |
Grandparent caregivers for female double orphans (n = 160,805) |
Grandparent caregivers for both sexes double orphans (N = 302,476) |
|||
|---|---|---|---|---|---|---|
| Frequency | % | Frequency | % | Frequency | % | |
| Demographics | ||||||
| Age group | ||||||
| 25-34 | 34 921 | 24.6 | 42 784 | 26.6 | 77 706 | 25.7 |
| 35-44 | 25 624 | 18.1 | 39 765 | 24.7 | 65 390 | 21.6 |
| 45-54 | 25 915 | 18.3 | 31 931 | 19.9 | 57 847 | 19.1 |
| 55-64 | 29 006 | 20.5 | 22 485 | 14.0 | 51 491 | 17.0 |
| 65+ | 26 204 | 18.5 | 23 839 | 14.8 | 50 043 | 16.5 |
| Sex | ||||||
| Male | 55 483 | 39.2 | 53 639 | 33.4 | 109 122 | 36.1 |
| Female | 86 188 | 60.8 | 107 166 | 66.6 | 193 354 | 63.9 |
| Population group | ||||||
| Black African | 100 475 | 70.9 | 110 599 | 68.8 | 211 075 | 69.8 |
| Non-Black African | 41 195 | 29.1 | 50 206 | 31.2 | 91 401 | 30.2 |
| Education | ||||||
| No education | 10 010 | 7.1 | 20 303 | 12.6 | 30 314 | 10.0 |
| Primary | 27 370 | 19.3 | 19 959 | 12.4 | 47 329 | 15.6 |
| Secondary | 59 300 | 41.9 | 82 422 | 51.3 | 141 723 | 46.9 |
| Post-secondary | 44 990 | 31.8 | 38 121 | 23.7 | 83 111 | 27.5 |
| Economic-related | ||||||
| Regular salary | ||||||
| Yes | 49 030 | 34.6 | 63 988 | 39.8 | 113 018 | 37.4 |
| No | 92 641 | 65.4 | 96 818 | 60.2 | 189 459 | 62.6 |
| Pension | ||||||
| Yes | 28 807 | 20.3 | 29 389 | 18.3 | 58 196 | 19.2 |
| No | 112 863 | 79.7 | 131 416 | 81.7 | 244 280 | 80.8 |
| Health-related | ||||||
| Depression in the past week | ||||||
| No | 80 914 | 57.1 | 103 499 | 64.4 | 184 413 | 61.0 |
| Yes | 60 757 | 42.9 | 57 307 | 35.6 | 118 063 | 39.0 |
| Perceived Health Status | ||||||
| Excellent | 61 732 | 43.6 | 88 225 | 54.9 | 149 957 | 49.6 |
| Good | 48 681 | 34.4 | 43 628 | 27.1 | 92 309 | 30.5 |
| Poor | 31 257 | 22.1 | 28 952 | 18.0 | 60 210 | 19.9 |
| Last health consultation | ||||||
| Never | 2 799 | 2.0 | 12 061 | 7.5 | 14 860 | 4.9 |
| In the last month | 92 740 | 65.5 | 99 319 | 61.8 | 192 059 | 63.5 |
| Last year and more | 46 131 | 32.6 | 49 425 | 30.7 | 95 557 | 31.6 |
| Medical Aid | ||||||
| Yes | 27 203 | 19.2 | 30 304 | 18.8 | 57 507 | 19.0 |
| No | 114 468 | 80.8 | 130 501 | 81.2 | 244 969 | 81.0 |
| Geographical type | ||||||
| Geographical area | ||||||
| Rural | 40 496 | 28.6 | 59 856 | 37.2 | 100 352 | 33.2 |
| Urban | 101 175 | 71.4 | 100 950 | 62.8 | 202 124 | 66.8 |
| Province | ||||||
| Western Cape | 12 158 | 8.6 | 32 574 | 20.3 | 44 732 | 14.8 |
| Eastern Cape | 13 806 | 9.7 | 20 264 | 12.6 | 34 070 | 11.3 |
| Northern Cape | 3 152 | 2.2 | 2 324 | 1.4 | 5 475 | 1.8 |
| Free State | 5 040 | 3.6 | 6 433 | 4.0 | 11 472 | 3.8 |
| KwaZulu-Natal | 21 152 | 14.9 | 32 249 | 20.1 | 53 401 | 17.7 |
| North West | 7 624 | 5.4 | 6 437 | 4.0 | 14 061 | 4.6 |
| Gauteng | 58 042 | 41.0 | 34 757 | 21.6 | 92 799 | 30.7 |
| Mpumalanga | 12 868 | 9.1 | 6 657 | 4.1 | 19 525 | 6.5 |
| Limpopo | 7 829 | 5.5 | 19 111 | 11.9 | 26 940 | 8.9 |
Table 2.
Reported health challenges by grandparents as caregivers to double orphans.
| Reported health challenges | No | Yes | ||
|---|---|---|---|---|
| Frequency | % | Frequency | % | |
| Painful urination | 298,781 | 98.8 | 3 695 | 1.2 |
| Severe weight loss | 295,357 | 97.7 | 7 119 | 2.4 |
| Diarrhoea | 281,471 | 93.1 | 21 005 | 6.9 |
| Chest pain | 279,806 | 92.5 | 22 670 | 7.5 |
| Swelling of ankles | 274,165 | 90.6 | 28 311 | 9.4 |
| Cough | 273,595 | 90.5 | 28 881 | 9.6 |
| Joint pain/arthritis | 243,178 | 80.4 | 59 298 | 19.6 |
| Back ache | 242,262 | 80.1 | 60 214 | 19.9 |
| Body ache | 241,566 | 79.9 | 60 775 | 20.1 |
| Fever | 222,742 | 73.6 | 79 734 | 26.4 |
| Headache | 220,981 | 73.1 | 81 495 | 26.9 |
Table 3.
Bivariate results of grandparent caregivers to double orphans and its associated socio-demographic factors by health challenges experienced and stratified by orphan gender.
Table 3.
Bivariate results of grandparent caregivers to double orphans and its associated socio-demographic factors by health challenges experienced and stratified by orphan gender.
| Factors | Caring for males | Caring for females | Caring for both sexes | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | Yes | No | Yes | No | Yes | |||||||||||||
| Demographics | Freq. | % | Freq. | % | χ2 | ρ | Freq. | % | Freq. | % | χ2 | ρ | Freq. | % | Freq. | % | χ2 | ρ |
| Age group | 15.63 | 0.00* | 22.76 | 0.00* | 33.97 | 0.00* | ||||||||||||
| 25-34 | 17 433 | 49.9 | 17 488 | 50.1 | 25 240 | 59.0 | 17 545 | 41.0 | 42 673 | 54.9 | 35 033 | 45.1 | ||||||
| 35-44 | 14 144 | 55.2 | 11 480 | 44.8 | 27 729 | 69.7 | 12 037 | 30.3 | 41 873 | 64.0 | 23 517 | 36.0 | ||||||
| 45-54 | 10 973 | 42.3 | 14 943 | 57.7 | 9 788 | 30.7 | 22 143 | 69.3 | 20 761 | 35.9 | 37 086 | 64.1 | ||||||
| 55-64 | 6 103 | 21.0 | 22 903 | 79.0 | 4 407 | 19.6 | 18 078 | 80.4 | 10 510 | 20.4 | 40 981 | 79.6 | ||||||
| 65+ | 1 203 | 4.6 | 25 001 | 95.4 | 4 957 | 20.8 | 18 882 | 79.2 | 6 160 | 12.3 | 43 883 | 87.7 | ||||||
| Sex | 0.04 | 0.84 | 2.38 | 0.12 | 1.35 | 0.25 | ||||||||||||
| Male | 15 594 | 28.1 | 39 889 | 71.9 | 29 626 | 55.2 | 24 013 | 44.8 | 45 220 | 41.4 | 63 902 | 58.6 | ||||||
| Female | 34 261 | 39.8 | 51 927 | 60.2 | 42 495 | 39.7 | 64 671 | 60.3 | 76 756 | 39.7 | 116 598 | 60.3 | ||||||
| Population group | 0.71 | 0.40 | 0.00 | 0.99 | 0.32 | 0.57 | ||||||||||||
| Black African | 37 657 | 37.5 | 62 819 | 62.5 | 51 659 | 46.7 | 58 940 | 53.3 | 89 316 | 42.3 | 121 759 | 57.7 | ||||||
| Non-Black African | 12 199 | 29.6 | 28 997 | 70.4 | 20 462 | 40.8 | 29 744 | 59.2 | 32 661 | 35.7 | 58 741 | 64.3 | ||||||
| Highest education | 6.91 | 0.08 | 9.62 | 0.02* | 15.17 | 0.00* | ||||||||||||
| No education | 3 490 | 34.9 | 6 521 | 65.1 | 5 528 | 27.2 | 14 776 | 72.8 | 9 017 | 29.7 | 21 296 | 70.3 | ||||||
| Primary | 4 610 | 16.8 | 22 760 | 83.2 | 6 575 | 32.9 | 13 384 | 67.1 | 11 185 | 23.6 | 36 144 | 76.4 | ||||||
| Secondary | 25 587 | 43.1 | 33 713 | 56.9 | 38 674 | 46.9 | 43 749 | 53.1 | 64 261 | 45.3 | 77 462 | 54.7 | ||||||
| Post-secondary | 16 169 | 35.9 | 28 822 | 64.1 | 21 345 | 56.0 | 16 777 | 44.0 | 37 513 | 45.1 | 45 598 | 54.9 | ||||||
| Economic | ||||||||||||||||||
| Regular salary | 5.74 | 0.02* | 3.19 | 0.07 | 8.31 | 0.00* | ||||||||||||
| Yes | 25 697 | 52.4 | 23 333 | 47.6 | 31 163 | 48.7 | 32 825 | 51.3 | 56 860 | 50.3 | 56 158 | 49.7 | ||||||
| No | 24 159 | 26.1 | 68 482 | 73.9 | 40 958 | 42.3 | 55 860 | 57.7 | 65 117 | 34.4 | 124 342 | 65.6 | ||||||
| Pension | 5.82 | 0.02* | 4.25 | 0.04* | 9.62 | 0.00* | ||||||||||||
| Yes | 1 851 | 6.4 | 26 957 | 93.6 | 8 144 | 27.7 | 21 245 | 72.3 | 9 995 | 17.2 | 48 202 | 82.8 | ||||||
| No | 48 005 | 42.5 | 64 859 | 57.5 | 63 977 | 48.7 | 67 439 | 51.3 | 111 982 | 45.8 | 132 298 | 54.2 | ||||||
| Health-related | ||||||||||||||||||
| Depression in the past week | 0.91 | 0.34 | 2.50 | 0.11 | 3.38 | 0.07 | ||||||||||||
| No | 21 421 | 26.5 | 59 493 | 73.5 | 51 934 | 50.2 | 51 565 | 49.8 | 73 355 | 39.8 | 111 058 | 60.2 | ||||||
| Yes | 28 434 | 46.8 | 32 323 | 53.2 | 20 187 | 35.2 | 37 119 | 64.8 | 48 621 | 41.2 | 69 442 | 58.8 | ||||||
| Perceived Health Status | 22.44 | 0.00* | 21.98 | 0.00* | 43.75 | 0.00* | ||||||||||||
| Excellent | 35 550 | 57.6 | 26 182 | 42.4 | 54 583 | 61.9 | 33 642 | 38.1 | 90 134 | 60.1 | 59 824 | 39.9 | ||||||
| Good | 9 078 | 18.6 | 39 603 | 81.4 | 14 244 | 32.6 | 29 384 | 67.4 | 23 322 | 25.3 | 68 987 | 74.7 | ||||||
| Poor | 5 227 | 16.7 | 26 031 | 83.3 | 3 294 | 11.4 | 25 659 | 88.6 | 8 521 | 14.2 | 51 689 | 85.8 | ||||||
| Last health consultation | 15.06 | 0.00* | 14.56 | 0.00* | 28.64 | 0.00* | ||||||||||||
| Never | 2 799 | 21.0 | 10,520 | 79.0 | 1,541 | 0.0 | 0.0 | 0.0 | 4,340 | 29.2 | 10,520 | 70.8 | ||||||
| In the last month | 28 374 | 30.6 | 64,366 | 69.4 | 35,006 | 35.2 | 64 313 | 64.8 | 63,381 | 33.0 | 128,679 | 67.0 | ||||||
| Last year and more | 18 682 | 40.5 | 27,450 | 59.5 | 26,595 | 53.8 | 22 831 | 46.2 | 45,276 | 47.4 | 50,280 | 52.6 | ||||||
| Medical Aid | 0.00 | 0.97 | 0.00 | 0.98 | 0.00 | 0.96 | ||||||||||||
| Yes | 10 472 | 38.5 | 16 731 | 61.5 | 11 342 | 37.4 | 18 962 | 62.6 | 21 814 | 37.9 | 35 694 | 62.1 | ||||||
| No | 39 384 | 34.4 | 75 084 | 65.6 | 60 780 | 46.6 | 69 722 | 53.4 | 100 163 | 40.9 | 144 806 | 59.1 | ||||||
| Geographical type | ||||||||||||||||||
| Geographical area | 0.07 | 0.79 | 0.02 | 0.89 | 0.08 | 0.78 | ||||||||||||
| Rural | 19 161 | 47.3 | 21 335 | 52.7 | 26 444 | 44.2 | 33 412 | 55.8 | 45 605 | 45.4 | 54 747 | 54.6 | ||||||
| Urban | 30 694 | 30.3 | 70 481 | 69.7 | 45 677 | 45.2 | 55 272 | 54.8 | 76 372 | 37.8 | 125 753 | 62.2 | ||||||
| Province | 6.58 | 0.58 | 7.58 | 0.48 | 5.96 | 0.65 | ||||||||||||
| Western Cape | 3 101 | 25.5 | 9 057 | 74.5 | 7 975 | 24.5 | 24 599 | 75.5 | 11 076 | 24.8 | 33 656 | 75.2 | ||||||
| Eastern Cape | 5 219 | 37.8 | 8 588 | 62.2 | 12 091 | 59.7 | 8 173 | 40.3 | 17 309 | 50.8 | 16 761 | 49.2 | ||||||
| Northern Cape | 917 | 29.1 | 2 234 | 70.9 | 816 | 35.1 | 1 508 | 64.9 | 1 733 | 31.7 | 3 742 | 68.3 | ||||||
| Free State | 1 267 | 25.1 | 3 773 | 74.9 | 1 582 | 0.0 | 4 851 | 0.0 | 2 849 | 24.8 | 8 623 | 75.2 | ||||||
| KwaZulu-Natal | 6 858 | 32.4 | 14 294 | 67.6 | 17 805 | 55.2 | 14 444 | 44.8 | 24 662 | 46.2 | 28 738 | 53.8 | ||||||
| North West | 1 043 | 13.7 | 6 581 | 86.3 | 1 186 | 18.4 | 5 251 | 81.6 | 2 229 | 15.9 | 11 832 | 84.1 | ||||||
| Gauteng | 22 288 | 38.4 | 35 755 | 61.6 | 21 412 | 61.6 | 13 346 | 38.4 | 43 699 | 47.1 | 49 100 | 52.9 | ||||||
| Mpumalanga | 3 630 | 28.2 | 9 237 | 71.8 | 1 258 | 18.9 | 5 399 | 81.1 | 4 888 | 25.0 | 14 637 | 75.0 | ||||||
| Limpopo | 5 533 | 70.7 | 2 297 | 29.3 | 7 997 | 41.8 | 11 114 | 58.2 | 13 529 | 50.2 | 13 411 | 49.8 | ||||||
Freq. = Frequency; % = Percentage; χ2= Chi-square; ρ = p-value; * (asterisk) = significant.
Table 4.
Multilevel logistic analysis of unadjusted predictors of health challenges experienced as caregivers to double orphans.
Table 4.
Multilevel logistic analysis of unadjusted predictors of health challenges experienced as caregivers to double orphans.
| Male | Female | Both sexes | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Health challenges | Odds | ρ-value | [95% Conf. Int] | Odds | ρ-value | [95% Conf. Int] | Odds | ρ-value | [95% Conf. Int] | |||
| Demographics | ||||||||||||
| Age group | ||||||||||||
| 25–34 (RC) | ||||||||||||
| 35–44 | 1.04 | 0.93 | 0.46 | 2.36 | 0.82 | 0.66 | 0.34 | 1.96 | 0.96 | 0.89 | 0.53 | 1.73 |
| 45–54 | 1.81 | 0.20 | 0.73 | 4.51 | 2.20 | 0.09 | 0.90 | 5.42 | *2.01 | 0.03 | 1.06 | 3.82 |
| 55–64 | 2.42 | 0.08 | 0.92 | 6.37 | *7.51 | 0.00 | 2.52 | 22.44 | *4.16 | 0.00 | 2.04 | 8.48 |
| 65+ | *8.70 | 0.00 | 2.31 | 32.78 | *3.25 | 0.02 | 1.26 | 8.37 | *4.65 | 0.00 | 2.20 | 9.80 |
| Sex | ||||||||||||
| Male (RC) | ||||||||||||
| Female | 1.06 | 0.84 | 0.58 | 1.95 | 1.62 | 0.12 | 0.88 | 3.01 | 1.29 | 0.25 | 0.84 | 1.98 |
| Population group | ||||||||||||
| Black African (RC) | ||||||||||||
| Non-Black African | 0.74 | 0.40 | 0.37 | 1.49 | 1.01 | 0.99 | 0.49 | 2.05 | 0.87 | 0.57 | 0.53 | 1.43 |
| Highest education | ||||||||||||
| No education (RC) | ||||||||||||
| Primary | 1.20 | 0.78 | 0.33 | 4.42 | 3.12 | 0.06 | 0.98 | 10.01 | 2.09 | 0.09 | 0.90 | 4.86 |
| Secondary | 0.53 | 0.28 | 0.17 | 1.65 | 0.79 | 0.59 | 0.33 | 1.88 | 0.70 | 0.31 | 0.36 | 1.39 |
| Post-secondary | 0.38 | 0.11 | 0.12 | 1.23 | 0.68 | 0.44 | 0.26 | 1.78 | 0.56 | 0.12 | 0.27 | 1.15 |
| Economic | ||||||||||||
| Regular salary | ||||||||||||
| Yes (RC) | ||||||||||||
| No | *2.12 | 0.02 | 1.14 | 3.92 | 1.78 | 0.08 | 0.94 | 3.35 | *1.90 | 0.00 | 1.23 | 2.95 |
| Pension | ||||||||||||
| Yes (RC) | ||||||||||||
| No | *0.32 | 0.02 | 0.12 | 0.84 | *0.45 | 0.04 | 0.21 | 0.97 | *0.40 | 0.00 | 0.22 | 0.72 |
| Health-related | ||||||||||||
| Depression in the past week | ||||||||||||
| No (RC) | ||||||||||||
| Yes | 1.34 | 0.34 | 0.73 | 2.44 | 1.62 | 0.12 | 0.89 | 2.96 | 1.49 | 0.07 | 0.97 | 2.27 |
| Perceived Health Status | ||||||||||||
| Excellent (RC) | ||||||||||||
| Good | *4.33 | 0.00 | 1.99 | 9.42 | *3.56 | 0.00 | 1.74 | 7.27 | *3.85 | 0.00 | 2.28 | 6.49 |
| Poor | *5.87 | 0.00 | 2.07 | 16.61 | *5.79 | 0.00 | 2.29 | 14.62 | *5.73 | 0.00 | 2.88 | 11.43 |
| Last health consultation | ||||||||||||
| Never (RC) | 1.00 | |||||||||||
| In the last month | *2.15 | 0.02 | 1.14 | 4.04 | 8.77 | 0.01 | 1.81 | 42.58 | *15.74 | 0.00 | 3.50 | 70.70 |
| Last year and more | 1.00 | 3.52 | 0.13 | 0.70 | 17.75 | *6.92 | 0.01 | 1.52 | 31.55 | |||
| Medical Aid | ||||||||||||
| Yes (RC) | ||||||||||||
| No | 0.99 | 0.97 | 0.46 | 2.14 | 1.01 | 0.98 | 0.43 | 2.37 | 0.98 | 0.96 | 0.56 | 1.74 |
| Geographical type | ||||||||||||
| Geographical area | ||||||||||||
| Rural (RC) | ||||||||||||
| Urban | 1.09 | 0.79 | 0.56 | 2.12 | 1.05 | 0.89 | 0.54 | 2.01 | 1.07 | 0.78 | 0.67 | 1.70 |
| Province | ||||||||||||
| Western Cape (RC) | ||||||||||||
| Eastern Cape | 2.40 | 0.26 | 0.52 | 10.99 | 0.45 | 0.19 | 0.13 | 1.50 | 0.85 | 0.73 | 0.34 | 2.14 |
| Northern Cape | 6.00 | 0.06 | 0.93 | 38.63 | 1.50 | 0.66 | 0.25 | 8.98 | 2.63 | 0.14 | 0.74 | 9.33 |
| Free State | 2.00 | 0.46 | 0.32 | 12.33 | 0.83 | 0.83 | 0.16 | 4.30 | 1.13 | 0.85 | 0.34 | 3.74 |
| KwaZulu-Natal | 2.25 | 0.19 | 0.67 | 7.56 | 0.53 | 0.22 | 0.19 | 1.46 | 0.94 | 0.88 | 0.44 | 2.01 |
| North West | 4.50 | 0.08 | 0.85 | 23.80 | 1.50 | 0.66 | 0.25 | 8.98 | 2.25 | 0.18 | 0.69 | 7.34 |
| Gauteng | 2.31 | 0.19 | 0.66 | 8.03 | 0.46 | 0.18 | 0.15 | 1.44 | 0.93 | 0.86 | 0.42 | 2.08 |
| Mpumalanga | 1.29 | 0.74 | 0.29 | 5.77 | 2.00 | 0.44 | 0.35 | 11.44 | 1.17 | 0.77 | 0.41 | 3.29 |
| Limpopo | 1.50 | 0.65 | 0.27 | 8.45 | 0.90 | 0.88 | 0.23 | 3.49 | 1.08 | 0.88 | 0.38 | 3.09 |
95% Conf. Int = 95% Confidence Interval; ρ = p-value; * (asterisk) = significant.
Table 5.
Multilevel logistic analysis of adjusted predictors of health challenges experienced as caregivers to double orphans.
Table 5.
Multilevel logistic analysis of adjusted predictors of health challenges experienced as caregivers to double orphans.
| Male | Female | Both | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Health challenges | Odds | p-value | [95% Conf. Int] | Odds | p-value | [95% Conf. Int] | Odds | p-value | [95% Conf. Int] | |||
| Demographics | ||||||||||||
| Age group | ||||||||||||
| 25-34 (RC) | ||||||||||||
| 35-44 | 0.73 | 0.60 | 0.22 | 2.36 | 1.33 | 0.65 | 0.39 | 4.47 | 1.03 | 0.93 | 0.48 | 2.24 |
| 45-54 | 1.94 | 0.36 | 0.47 | 8.09 | 1.59 | 0.47 | 0.45 | 5.71 | 1.67 | 0.23 | 0.72 | 3.86 |
| 55-64 | 2.50 | 0.31 | 0.43 | 14.56 | *12.04 | 0.02 | 1.55 | 93.25 | *5.04 | 0.01 | 1.54 | 16.50 |
| 65+ | *27.34 | 0.01 | 2.19 | 341.92 | 6.73 | 0.14 | 0.53 | 85.19 | *8.86 | 0.01 | 1.90 | 41.28 |
| Sex | ||||||||||||
| Male (RC) | ||||||||||||
| Female | *0.34 | 0.03 | 0.13 | 0.89 | 1.44 | 0.42 | 0.59 | 3.51 | 0.85 | 0.59 | 0.48 | 1.52 |
| Population group | ||||||||||||
| Black African (RC) | ||||||||||||
| Non-Black African | *0.22 | 0.02 | 0.06 | 0.79 | 0.90 | 0.85 | 0.32 | 2.55 | 0.61 | 0.18 | 0.30 | 1.25 |
| Education | ||||||||||||
| No education (RC) | ||||||||||||
| Primary | 6.44 | 0.07 | 0.85 | 48.66 | *13.94 | 0.01 | 2.21 | 87.83 | *4.79 | 0.01 | 1.49 | 15.39 |
| Secondary | 1.84 | 0.48 | 0.35 | 9.77 | 3.03 | 0.14 | 0.69 | 13.40 | 1.79 | 0.25 | 0.67 | 4.78 |
| Post-secondary | 1.09 | 0.93 | 0.17 | 6.81 | 3.13 | 0.16 | 0.65 | 15.09 | 1.44 | 0.51 | 0.49 | 4.21 |
| Regular salary | ||||||||||||
| Yes (RC) | ||||||||||||
| No | *4.68 | 0.01 | 1.59 | 13.84 | 1.70 | 0.32 | 0.60 | 4.84 | *2.01 | 0.03 | 1.06 | 3.83 |
| Economic | ||||||||||||
| Pension | ||||||||||||
| Yes (RC) | ||||||||||||
| No | 5.05 | 0.11 | 0.68 | 37.74 | 3.93 | 0.21 | 0.47 | 32.81 | *3.95 | 0.04 | 1.05 | 14.89 |
| Depression in the past week | ||||||||||||
| No (RC) | ||||||||||||
| Yes | 0.80 | 0.63 | 0.32 | 1.98 | 1.56 | 0.33 | 0.63 | 3.88 | 1.03 | 0.93 | 0.58 | 1.83 |
| Health-related | ||||||||||||
| Perceived Health Status | ||||||||||||
| Excellent (RC) | ||||||||||||
| Good | *6.15 | 0.00 | 1.98 | 19.14 | 2.23 | 0.10 | 0.86 | 5.81 | *2.92 | 0.00 | 1.49 | 5.73 |
| Poor | *4.28 | 0.05 | 1.00 | 18.35 | *4.00 | 0.05 | 0.99 | 16.18 | *3.30 | 0.01 | 1.35 | 8.09 |
| Last health consultation | ||||||||||||
| Never (RC) | 1.00 | |||||||||||
| In the last month | 2.03 | 0.14 | 0.80 | 5.13 | 6.60 | 0.13 | 0.57 | 76.42 | *12.87 | 0.02 | 1.44 | 115.31 |
| Last year and more | 1.00 | 2.81 | 0.43 | 0.22 | 35.39 | 6.23 | 0.10 | 0.69 | 55.78 | |||
| Medical Aid | ||||||||||||
| Yes (RC) | ||||||||||||
| No | 0.22 | 0.07 | 0.04 | 1.10 | 1.32 | 0.68 | 0.36 | 4.88 | 0.86 | 0.74 | 0.35 | 2.09 |
| Geographical type | ||||||||||||
| Geographical area | ||||||||||||
| Rural (RC) | ||||||||||||
| Urban | 1.63 | 0.38 | 0.55 | 4.79 | 1.25 | 0.69 | 0.43 | 3.61 | 1.36 | 0.38 | 0.69 | 2.67 |
| Province | ||||||||||||
| Western Cape (RC) | ||||||||||||
| Eastern Cape | 1.12 | 0.91 | 0.16 | 7.79 | 0.46 | 0.34 | 0.10 | 2.22 | 0.87 | 0.80 | 0.28 | 2.66 |
| Northern Cape | 3.45 | 0.29 | 0.35 | 34.37 | 0.65 | 0.71 | 0.07 | 6.12 | 1.98 | 0.37 | 0.44 | 8.83 |
| Free State | 1.74 | 0.63 | 0.19 | 16.35 | 0.54 | 0.57 | 0.07 | 4.45 | 0.92 | 0.90 | 0.23 | 3.68 |
| KwaZulu-Natal | 1.75 | 0.49 | 0.36 | 8.52 | 0.32 | 0.13 | 0.07 | 1.38 | 0.97 | 0.95 | 0.38 | 2.49 |
| North West | 4.97 | 0.16 | 0.53 | 46.83 | 1.33 | 0.81 | 0.14 | 12.96 | 2.72 | 0.18 | 0.63 | 11.79 |
| Gauteng | 1.29 | 0.75 | 0.27 | 6.23 | 0.43 | 0.25 | 0.10 | 1.82 | 0.87 | 0.78 | 0.34 | 2.22 |
| Mpumalanga | 1.30 | 0.79 | 0.19 | 8.84 | 1.08 | 0.94 | 0.14 | 8.14 | 1.26 | 0.70 | 0.38 | 4.19 |
| Limpopo | 0.40 | 0.47 | 0.03 | 4.75 | 0.93 | 0.94 | 0.16 | 5.56 | 0.99 | 0.99 | 0.26 | 3.76 |
95% Conf. Int = 95% Confidence Interval; ρ = p-value; * (asterisk) = significant.
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