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Determinants of Child Nutritional Status among Scheduled Tribes in West Bengal
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07 June 2023
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Abstract
Malnutrition is the main cause of child mortality in developing nations, especially in Sub-Saharan Africa and South Asian countries. This undernutrition status is predominantly higher among primitive tribal (ST) children under 5 years of age. The nutritional status of tribal children is a serious concern in India. For this, there should be intends to examine the prevalence and determinants of primitive tribal children's nutritional status. To investigate the effect of household, child’s & maternal characteristics on biological children under 5 years of age. The study aims to find out the association between some selected determinants on scheduled tribe child’s nutritional status. The study used some selected variable of scheduled tribe mothers, household characteristics and their children anthropometric indices from DHS datasets of India, which was published by the NFHS datasets of India. In this study People datasets and Children (Under 5 years of age) of interviewed women file datasets of NFHS-IV & V is taken. The datasets of West Bengal, ST mothers, and their child into consideration as per the research interest. Then to analyze the determinants of ST children (U5 age) nutritional status, some determinant factors are taken from mothers, children and household characteristics. Children’s stunting, wasting and underweight as dependent variable and the mothers, child’s and household’s characteristics as independent variable. The statistical analysis was done by using Pearson Chi square test used to analyze the association between dependent and independent variables. The study results shows that the mother’s educational status, child’s age, birth order, size of child at birth, type of residence had significant associations with stunting. Mother's anemia status and mother age had significant associations with wasting. Mother education, currently breastfeeding, child age, sex of the child, birth order, size of child at birth, type of residence, wealth, toilet facility, and cooking fuel shows a significant association with underweight. The results found that many determinant factors had a significant role among ST children's (U5 age) nutritional status. Thus, the findings will help to achieve tentative resource allocation, and utilization through various programs and policies to improve the ST children (U5 age) nutritional status. There is a need to take a multisectoral and multidimensional approach to develop for those primitive tribal children.
Keywords:
Subject: Public Health and Healthcare - Public, Environmental and Occupational Health
1. Introduction
Despite numerous nutrition intervention, programs that have been implemented over the previous four decades, undernutrition is still an important health issue in India (Meshram, I.I. et al., 2018).In demographics view, this Adivasis, or tribal communities, account for 8.6% of India's population (Xaxa, V., 2014). According to the 2011 Census, the tribal community in West Bengal accounts for around 5.8% of the overall population of the state. West Bengal's tribal population accounts for around 5.08% of the country's overall tribal population (Tribal Development Department, Govt. of West Bengal). It seems that, among tribal children they have higher amounts of undernourishment than children from more wealthy backgrounds; according to the CNNS 2016-18 study, over 40% of under-five indigenous children in India are stunted (Tribal Nutrition, UNICEF, India). From recent report, it’s found that, India ranks 107th out of 121 nations in the global hunger index, which measures child nutritional deficiencies, stunting, wasting, and child mortality (India Global Hunger Index, 2022). Also others, reported in the Registrar General of India's (RGI) Sample Registration System (SRS) Report, West Bengal's Infant Mortality Rate (IMR) in 2019 is 20 children per one thousand live births, which is more compared to numerous other states (Press Information Bureau, 2022).From these its clear that, India's indigenous societies continue to be the most nutrient socially deprived communities in the nation; they traditionally lead diverse lifestyles and their standard of living is indigenous; they are also more vulnerable to poor nutrition, which is identified as a predominant health issue, primarily due to underutilization of different governmental facilities, that has serious and long effects for the child's well-being and negatively influences the development of the country. Primitive kids have a higher probability to be malnourished at a young age because of the lack of parental information about the necessity of breast feeding, adequate nutritional food intake, vaccination, care during illness, safe drinking water, hygienic practices, and so on (Dey, U. and Bisai, S., 2019).
Moreover, tribal inhabitants are unable to get sufficient healthcare services because of poverty, limited access, and maximum service costs, as well as high out-of-pocket expenses in health and nutrition, which results in impoverishment and indebtedness, ultimately that leads to suffer from disease and micronutrient deficiencies (Babu, B.V. and Kusuma, Y.S., 2007). Most notably, widespread undernourishment is substantially associated with and unquestionably directly connected to high infant mortality (Black, R.E. et al., 2008). There is almost no part or dimension of existence that does not have one or more of these characteristics. Even children were not able to escape the all-encompassing impact of such characteristics. Tribal groups are among the most marginalized and underprivileged groups in Indian society. Despite the fact that many policies and practices have been sought and implemented for their social as well as economic betterment in post-Independence India, all development initiatives reveal them to be the most marginalized from mainstream Indian society (Xaxa, V., 2011). The nutritional concerns of tribal societies are fraught with ambiguity, and relatively few extensive research on the populations' food habits and nutritional health are available (Ahmad Khanday, Z. and Akram, M., 2012).
In this regard, researchers used the WHO criteria for undernutrition prevalence as underweight, stunting, and wasting by percentage prevalence of these three indicators between children to assess the total nutritional stress and severity of undernutrition among tribal children (World Health Organization, 1995). To recover from this undernutrition status, the is a need to strengthen the children's nutritional condition in the nation, where, mothers must be sufficiently educated about feeding procedures as well as the importance of following appropriate sanitation and good hygiene practises. Additionally, special care must be paid to all of these indigenous tribes, with much more policy measures and initiative, as these people are frequently cut-off from mainstream of society and may be unaware of, so they cannot benefit from, the different schemes that are provided (Padmanabhan, P.S. and Mukherjee, K., 2016). So, for this, the intent of this paper is to explore and comprehend the factors affecting the nutritional status of tribal children in West Bengal.
2. Objectives
- To analyze the effect of household, child, and maternal characteristics on actual children under the age of five.
- The study's objective is to figure out the relationship between some specified factors and the nutritional status of scheduled tribal children.
3. Hypotheses
- Maternal characteristics and the socioeconomic status of the family, as well as sanitation, have an impact on their child's nutritional health.
- Moreover, the children's characteristics impact their anthropometrics and stagnant their entire cognitive development.
4. Study Area
According to the 2011 Indian Census, there are total 19 districts in West Bengal with more than 5.2 million tribal people, representing for around 5.8% of the state's overall population. Tribal populations may be found in every district in the state. But some of the districts with a higher proportion of tribal people include Darjeeling, Jalpaiguri, Puruliya, Dakshin Dinajpur, Bankura, and Pashchim Medinipur. As Per NFHS-5 (2019-20) in West Bengal, Neonatal Mortality Rate (NNMR) found 15.5, Infant Mortality rate (IMR) 22.0, Under five Mortality Rate (U5MR) 25.4, counted as per 1000 live birth, which is still higher than the many other states of India.
Figure 1.
Location map of the study area, West Bengal, India.
5. Materials & Methods
5.1. Source of Data
In this study, “PR” file (People datasets) and “KR” file (Children under five of interviewed women file datasets) of NFHS-IV (2015-16) & NFHS-V (2019-20) is taken to assess the nutritional conditions of children (U5 age), their biological mother and their household characteristics datasets were taken from the Demographic Health Survey site (https://dhsprogram.com/data/dataset_admin/index.cfm) of NFHS-IV & V, and this is regulated by the Ministry of Health and Family Welfare, and the International Institute of Population Sciences (IIPS) serves as a nodal agency for this survey.
5.2. Measurement of Children Nutritional Status
Three anthropometric indicators were utilized for tracking undernutrition of ST children to evaluate nutritional health: stunting (low height-for-age); underweight (low weight-for-age); and wasting (low weight-for height). Where the, Underweight is the combination of stunting and wasting among all these three indices, and this study examined stunting, wasting, and underweight. All of the parameters applied in this study were established by the WHO (2006) child growth guidelines (Table 1).
5.3. Variables
There are many associated factors that determines the children nutritional status which leads thir anthropometrical development status. For this among under 5 age ST children nutritional status, some selected determinant factors are taken as mothers characteristics (mothers age, mother’s educational status, mothers anemia status, children under currently breastfeeding), children characteristics ( child age, children’s sex, birth order of children according to birth history, size of children during their birth) and household characteristics (type of place of residence, drinking water facility, toilet facility, types of cooking fuel).
5.4. Data Analysis
Data analysis was carried out using SPSS (26.0 Version) software. Where, Chi-square () test, bivariate analysis was done to study association between ST children’s (under 0-59 months age) undernutrition status by three anthropometrical indicies as dependent variable with the mothers, children, household characteristics as independent variable to find out the prevalence and association between those variables of undernutrition of two rounds of NFHS data. To prepare the mean of standardized Z-Score by 3 months age group (by line graph) of under 5year age Scheduled Tribe children, here Ms-excel is used.
where, , is the observed frequency count for ith level of the categorical variable , is the expected frequency count for ith level of the categorical variable.
6. Result & Discussions
The study counts scheduled tribe children 357 for NFHS-IV & 292 for NFHS-V (Table 2). In NFHS-IV it’s found that 38.9 % children were stunted, 29.4% wasted and 42.9% underweight. Out of total children’s mother, majority of the mothers (38.4%) age ranges from 20-24 year. Educational level of mother is very low (1.1%) in higher education as its high (42.5%) in secondary education, also no education is not at a negligible point (36.7%). There was 80.6% of child’s mother found anemic. 83.8% children found under Currently breastfeeding. Highest number of children (24.4%) found at their antenatal stage. Nearly half (47.9%) of the children come under birth order 1. Most of the child’s birth size was average (64.4%). In terms of the gender, female children found high as of the male. Tribals are indigenous people they live mostly near forest or the rural, remote places. Very high percent (89.1%) of tribal household live in the rural area. In the perspective of religion here majority of Hindu tribals (91.6%) exists as of other religious tribes. Half of the tribes (53.8%) found in the poorest category as well as below the poverty line. Source of drinking water is still unimproved some part of tribals area (16.5%). Surprisingly the toilet facility is not improved (72%) found huge, it’s a major cause of concern. Day to day traditional cooking fuel uses also found very high (91.9%) among the tribes.
Simultaneously, for NFHS-V it’s found that 42.5 % children were stunted, 24.3% wasted and 58.9% underweight. Out of total children’s mother, majority of the mothers (37.7%) age ranges from 20-24 year. Educational level of mother is very low (2.7%) in higher education as its high (45.5%) in secondary education, also no education is not at a negligible point (31.2%). There was 85.3% of child’s mother found anemic. 77.4% children found under Currently breastfeeding. Highest number of children (24.4%) found at their antenatal stage. 45.9% of the children come under birth order 1. Most of the child’s birth size was average (69.2%). In terms of the gender, female children found 0.3% high as of the male. Tribals are indigenous people they live mostly near forest or the rural, remote places. Almost all (97.9%) of tribal household live in the rural area. In the perspective of religion here majority of Hindu tribals (88.7%) exists followed by Christian, Buddhist and other tribes. Most of the tribes (78.1%) found below the poverty line. Source of drinking water is still unimproved some part of tribals area (5.8%). About half of the toilet facility is not improved (53.8%), it’s a major cause of concern. Traditional cooking fuel uses also found very high (90.4%) among the tribes.
Table 3, shows the prevalence of undernutrition (stunted, wasted and underweight) by NFHS-IV (2015-16) & NFHS-V (2019-20), among the sample scheduled tribe children aged 0-59 months, measured by z-scores. There are mid to large variations in childhood undernutrition across mothers, their biological children and the household characteristics. In (Table 3) it’s found that higher the mothers age group the occurrence of stunting, underweight is high (about 50%), when it comes to mother’s higher educational status there is a no stunting cases found. Interestingly difference between anaemic and non-anaemic mother’s child nutritional status, here its clear that non anaemic mother’s children are high (more than 60%) prone of this undernutrition. In NFHS-IV children in the age group of 13-23months seems high prevalence of undernutrition, but in NFHS-V high prevalence of undernutrition found in the child age group 48-59 months. When the birth order number is above 4th then the stunting and underweight prevalence is high in both the NFHS rounds. In NFHS-IV only its resulted that very small size of child at birth has been undernourished as of normal size of child at birth. From the sex of child overall the undernutrition is seen among the male children. As rural areas having the backwardness in terms of facilities as compare to urban area, here the data also tells the ground reality that the rural children having more nutritional lacks as compare to the urban. In religion perspective view here in most of the cases Muslim and Christian tribal children are mostly undernourished. When the household comes under below poverty level there obviously lack of nutrition presents, similarly here also the poorest, poorer household’s children are highly nutritionally poor. Beside this factors household sanitation and hygiene also plays important role on children’s nutritional status.
The graph of NFHS-IV (Figure 2) depicts changes in mean z-scores by age of children aged 0 to 59 months, stratified by three-month age group. The general trends of the z-scores matched those seen in 39 developing nations (Shrimpton, R. et al., 2001). Weight-for-height scores were lower than the other indices. Both weight-for-age and height-for-age decreased between the ages of 18 and 24 months and before the age of 36 months, which is considered a crucial period in child development (Growth and development), there is no stabilization. Afterwards the, height-for-age rebounded somewhat and remained between -2.0 and -1.5 until the 60th month of age. Height-for-age and weight-for-height change more than the other indices, ranging from -2.5 to -0.4.
The NFHS-V graph (Figure 3) depicts changes in mean z-scores by age of children aged 0 to 59 months, segmented by three-month age group. Weight-for-height scores were lower than the other indices. Weight-for-age and height-for-age both dropped significantly between the three age groups (27-29, 39-41 & 54-56 months). Weight-for-height improved little, remaining between -1.75 and -0.75 until the 60th month of life. Height-for-age and weight-for-height changed more than the other indices between -2.4 and -1.
Table 4 shows the mean z-scores of communities for both NFHS-IV and V. It was found that there was a significant difference in children's nutritional condition between the best and poorest communities according to all the z-scores. In NFHS-IV, for contrast, mean height-for-age z-scores ranged from -5.99 in the poorest community to 4.51 in the best. Likewise, height-for-weight z-scores range from -4.87 to 4.12, whereas weight-for-age z-scores range from -5.03 to 1.67, which appears to be less broad than height-for-age and height-for-weight. In addition, the mean height-for-age z-scores in NFHS-V ranged from -5.97 in the poorest community to 5.13 in the best. Similarly, height-for-weight z-scores range from -4.83 to 3.33, whereas weight-for-age z-scores range from -4.99 to 2.14, which appears to be less broad than height-for-age and height-for-weight. The considerable variance in z-scores among communities suggests that there are significant differences at the community level that impact the nutritional condition of tribal children under the age of five.
The association between scheduled tribe under 5year age children’s nutrition status by their anthropometric indices stunted, wasted and underweight (dependent variable), with different variables related to mothers, children’s and their household background characteristics using Pearson chi-square test to see whether there is any association between those selected variables (mother’s age in 5 year age group, educational level, anaemia condition, currently breastfeeding, children’s age group in months, birth order number, size of child at birth, sex of child, type of place of residence, religion, wealth index, drinking water facility, toilet facility, type of cooking fuel). And it’s found significant results (95% confidence interval at 5% level of significance) for all the variables mentioned below (Table 5).
Table 5, reveals that there are 10 independent variables, which statistically significant at different levels with 3 dependent variables. The independent variables which have been found significant association with stunted are: “Mother’s educational status”, “Child age group in months”, “Childs birth order number”, “Size of child at birth”. Only one independent variable: “Mother’s anaemia status” significant association with wasted. But there are 5 independent variables “Currently breastfeeding”, “child age group in months”, “size of child at birth”, “toilet facility”, “type of cooking fuel” found significant association with underweight.
Beside the significantly associated variables (at 5% level of significance) there, was some independent variables which has a small effect (0.1) with the dependent variable, which shown by the phi correlation coefficient (φ) (strength of coefficient). Here (Table 5) 3 independent variables “mothers age in 5-year age group”, “mothers anaemia status”, “household wealth index” has small effect with stunting, 4 independent variables “mothers age in 5-year age group”, “Currently breastfeeding”, “Child age group”, “Child birth order number”, “size of child at birth” has small effect with wasting and 6 independents variables “mothers age in 5-year age group”, “mothers educational status”, “mother educational status”, “Child birth order number”, “religion”, “households wealth index” has small effect with underweight.
The association between scheduled tribe under 5year age children’s nutrition status by their anthropometric indices stunted, wasted and underweight (dependent variable), with different variables related to mothers, children’s and their household background characteristics using Pearson chi-square test to see whether there is any association between those selected variables (mother’s age in 5 year age group, educational level, anaemia condition, currently breastfeeding, children’s age group in months, birth order number, size of child at birth, sex of child, type of place of residence, religion, wealth index, drinking water facility, toilet facility, type of cooking fuel). And we found significant results (95% confidence interval at 5% level of significance) for all the variables mentioned below (Table 6).
Table 6, reveals that there are 14 independent variables and 3 dependent variables are statistically significant at different levels. The independent variables which have been found significant association with stunted are: “Mother’s educational status”, “Childs birth order number”, “type of place of residence”. Only one independent variable: “Mother’s age in 5-year groups” significant association with wasted. But there are 6 independent variables “Mother’s educational status”, “sex of child”, “type of place of residence”, “households wealth index”, “toilet facility”, “type of cooking fuel” found significant association with underweight.
Beside the significantly associated variables (at 5% level of significance) there, was some independent variables which has a small effect (0.1) with the dependent variable, which shown by the phi correlation coefficient (φ) (strength of coefficient). Here (Table 6) 3 independent variables “mothers age in 5-year age group”, “religion”, “wealth index” has small effect with stunting, 4 independent variables “mother’s educational status”, “Child birth order number”, “size of child at birth”, “wealth index” has small effect with wasting and 3 independents variables “Child birth order number”, “size of child at birth”, “religion” has small effect with underweight.
There are many reasons that lied upon different factors, among such factors there are some important socio-demographic factors that determines the children nutritional status, which is found from the various evidenced based studies as discussed in this study. Children of uneducated mothers are at a higher risk of malnutrition (Meshram, I.I. et al., 2012). Also, the Anaemia is such condition where its shown to be much worse within tribal children when compared to other groups, and a significant number of children are undernourished, with mothers as well undernourished (Das, S., and H. Sahoo, 2011). Whereas, also the findings differ in that older children have a higher risk of malnutrition when compared to new-borns (Meshram, I.I. et al., 2012). But, in another study its found that children aged 1-3 years were at a higher risk of malnutrition than older children (3-6 years), (Bisai, S., et. al., 2008). Therefore, gender wise, Male under-five children have a higher probability than females to be underweight, stunted, and wasting (Meshram, I.I. et al., 2012). In research that has been done in Maharashtra, it was also shown that males have a higher risk of malnutrition than girls (Meshram, I.I. et al., 2012). It is often assumed that when parents have a new child that requires a lot of attention and care, they pay less attention to their older children (Das, S. and Sahoo, H., 2011).Overall its insights that, Underweight, stunting, and wasting are the three basic markers used to identify undernutrition. They are typically associated with recurrent exposure to poor economic situations, inadequate sanitation, and the complex effects of insufficient energy and nutritional intakes and illness (Joshi, H.S. et al., 2016). Similarly key factors of child nutritional status are the availability of good water supplies and sanitary conditions (UNICEF, 1990). Socioeconomic factors, such as poverty, illiteracy, a lack of understanding about the quality of food products, and inadequate sanitation, are the factors related with children's undernutrition.
7. Conclusion & Recommendations
This study utilized scheduled tribe mother, children and household characteristics status as a proxy of the stunting, wasting and underweight and examined its effect and association on undernutrition of scheduled tribe children under age 0-59 months. To find out the determinant factors which are associated to the nutritional status of scheduled here some selected 14 independent variables with 3 anthropometric nutritional indices taken. And to analyse this we use recent NFHS-V (2019-20) and previous NFHS-IV (2015-16), where the data contains 354 sample (scheduled tribe mother with their biological children) in NFHS-IV and 294 sample (scheduled tribe mother with their biological children) in NFHS-V in West Bengal. After the analysis it’s found that in NFHS-IV, 38.9% children were stunted and the selected variables “mother’s educational status”, “child age group in months”, “child birth order number”, “size of child at birth” has significant effect on child stunted status. Where, there was 29.4% of children were wasted, and the variable “mother anaemia status” only has a significant effect, but in case of underweight 42.9% of children, and its significant with the variable “currently breastfeeding”, “child age group in months”, “size of child at birth”, “toilet facility”, “type of cooking fuel”. Similarly, in NFHS-V, stunted children were 42.5% and its significantly associated with the variables “mother’s educational status”, “birth order number”, “type of place of residence”. Wasted children was 24.3% and its significantly associated with the variable “mother age in 5year groups”. And underweight children exist 58.9%, which significantly associated with “mother’s educational status”, “sex of child”, “type of place of residence”, “wealth index”, “toilet facility”, “type of cooking fuel”. In this study we conclude that, mother’s nutritional status plays an important dominants factor on malnutrition (low weight-for-age) of children under age 5 in West Bengal.
These nutrient insufficiency throughout childhood can result in irreversible cognitive development, poor health conditions, and a higher mortality threat, and has also been linked to inadequate human capital creation, potentially reducing the country's economic output in the long term (Menon, P. et al., 2018). As a result, well-planned poverty alleviation initiatives, as well as universal health and nutrition education, are required, with a specific emphasis on both the economically and socially vulnerable segments of the population, particularly the primitive scheduled tribes as well as the indigenous tribes. Additional anganwadi and ICDS centres must be constructed, particularly in the remote and tribal regions, to protect children and mothers from undernutrition (Ahmad Khanday, Z. and Akram, M., 2012). Additionally, the facilitating determinants, which are the administrative, economical, societal, cultural, and environmental circumstances that should be supportive in order to provide optimal nourishment for children and women, should be in existence (UNICEF Conceptual Framework). Strategic plan and integrating the work of Anganwadi workers underneath the Integrated Child Development Service (ICDS), Accredited Social Health Activists (ASHA) under National Rural Health Mission, and effective community involvement will lead to improved delivery of services to target groups at the grass roots level of the community (Menon, P. et al., 2018).
Funding
There was no funding received to assistance with the creation of this manuscript.
Conflict of Interest
The corresponding author declares that there is no conflict of interest.
Credit Author Statement
Manabindra Barman1: Conceptualization, Data curation, Formal analysis, Conceptualization, Methodology, Software, Writing-original draft. Dr. Indrajit Roy Chowdhury2: Visualization, Validation, Supervision, Writing-reviewing.
Abbreviations
Scheduled Tribe (ST), Demographic Health Survey (DHS), National Family Health Survey (NFHS), Ministry of Health and Family Welfare (MoHFW).
References
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Figure 2.
Mean of Z-Score by 3 months age group of under 5year age Scheduled Tribe children (2015-16).
Figure 2.
Mean of Z-Score by 3 months age group of under 5year age Scheduled Tribe children (2015-16).
Figure 3.
Mean of Z-Score by 3 months age group of under 5year age Scheduled Tribe children (2019-20).
Figure 3.
Mean of Z-Score by 3 months age group of under 5year age Scheduled Tribe children (2019-20).
Table 1.
Anthropometric indices for children under 5 years age.
| Under Nutritional Status | Measures |
|---|---|
| Stunted | Length/ Height for age ≤-2 SD of the median |
| Wasted | Weight for length/ Height ≤-2 SD of the median |
| Underweight | Weight for age≤-2 SD of the median |
Source: WHO, Child growth standards (2009)
Table 2.
Distribution of respondents by background characteristics.
| Variables | Categories | NFHS-IV | NFHS-V | Variables | Categories | NFHS-IV | NFHS-V | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| N (357) | % | N (292) | % | N (357) | % | N (292) | % | ||||
| Mother's characteristics | Children's characteristics | ||||||||||
| Age in 5-year groups | 15-19 | 40 | 11.2 | 20 | 6.8 | Size of child at birth | Very large | 18 | 5.0 | 20 | 6.8 |
| 20-24 | 137 | 38.4 | 110 | 37.7 | Larger than average | 57 | 16.0 | 36 | 12.3 | ||
| 25-29 | 119 | 33.3 | 105 | 36.0 | Average | 230 | 64.4 | 202 | 69.2 | ||
| 30-34 | 43 | 12.0 | 40 | 13.7 | Smaller than avg. | 45 | 12.6 | 25 | 8.6 | ||
| 35-39 | 16 | 4.5 | 14 | 4.8 | Very small | 7 | 2.0 | 9 | 3.1 | ||
| 40-44 | 2 | 0.6 | 3 | 1.0 | Sex of child | Male | 166 | 46.5 | 145 | 49.7 | |
| Educational Status | Illiterate | 131 | 36.7 | 91 | 31.2 | Female | 191 | 53.5 | 147 | 50.3 | |
| Primary | 71 | 19.9 | 60 | 20.5 | Household characteristics | ||||||
| Secondary | 151 | 42.3 | 133 | 45.5 | Type of place of residence | Urban | 39 | 10.9 | 6 | 2.1 | |
| Higher | 4 | 1.1 | 8 | 2.7 | Rural | 318 | 89.1 | 286 | 97.9 | ||
| Anaemia status | Severe | 3 | 0.8 | 8 | 2.7 | Religion | Hindu | 327 | 91.6 | 259 | 88.7 |
| Moderate | 81 | 22.7 | 158 | 54.1 | Muslim | 3 | 0.8 | 3 | 1.0 | ||
| Mild | 204 | 57.1 | 83 | 28.4 | Christian | 17 | 4.8 | 16 | 5.5 | ||
| Not anaemic | 69 | 19.3 | 43 | 14.7 | Buddhist/neo-Buddhist | 9 | 2.5 | 4 | 1.4 | ||
| Currently Breastfeeding | No | 58 | 16.2 | 66 | 22.6 | Other | 1 | 0.3 | 10 | 3.4 | |
| Yes | 299 | 83.8 | 226 | 77.4 | Wealth index | Poorest | 192 | 53.8 | 228 | 78.1 | |
| Children's characteristics | Poorer | 102 | 28.6 | 42 | 14.4 | ||||||
| Age group in months | 0-12 | 87 | 24.4 | 58 | 19.9 | Middle | 44 | 12.3 | 16 | 5.5 | |
| 13-23 | 74 | 20.7 | 40 | 13.7 | Richer | 16 | 4.5 | 5 | 1.7 | ||
| 24-35 | 57 | 16.0 | 62 | 21.2 | Richest | 3 | 0.8 | 1 | 0.3 | ||
| 36-47 | 76 | 21.3 | 62 | 21.2 | Drinking water source | Non improved | 59 | 16.5 | 17 | 5.8 | |
| 48-59 | 63 | 17.6 | 70 | 24.0 | Improved | 298 | 83.5 | 275 | 94.2 | ||
| Birth order number | 1 | 171 | 47.9 | 134 | 45.9 | Toilet facility | Non improved | 257 | 72.0 | 157 | 53.8 |
| 2 | 117 | 32.8 | 108 | 37.0 | Improved | 100 | 28.0 | 135 | 46.2 | ||
| 3 | 45 | 12.6 | 37 | 12.7 | Type of cooking fuel | Traditional | 328 | 91.9 | 264 | 90.4 | |
| 4 & above | 24 | 6.7 | 13 | 4.5 | Modern | 29 | 8.1 | 28 | 9.6 | ||
Source: DHS datasets of NFHS-IV & V
Table 3.
Prevalence of undernutrition among Scheduled Tribe U5 Children in West Bengal.
| Variables | Categories | Stunting % | Wasting % | Underweight % | |||
|---|---|---|---|---|---|---|---|
| NFHS-IV | NFHS-V | NFHS-IV | NFHS-V | NFHS-IV | NFHS-V | ||
| Mother's characteristics | |||||||
| Age in 5-year groups | 15-19 | 22.5 | 25.0 | 35.0 | 35.0 | 35.0 | 45.0 |
| 20-24 | 38.7 | 44.5 | 33.6 | 17.3 | 44.5 | 40.0 | |
| 25-29 | 42.9 | 43.8 | 22.7 | 27.6 | 40.3 | 41.9 | |
| 30-34 | 37.2 | 40.0 | 30.2 | 22.5 | 44.2 | 37.5 | |
| 35-39 | 56.3 | 42.9 | 31.3 | 50.0 | 62.5 | 50.0 | |
| 40-44 | 50.0 | 66.7 | 0.0 | 0.0 | 50.0 | 33.3 | |
| Educational Status | No education | 45 | 48.4 | 29.0 | 28.6 | 49.6 | 50.5 |
| Primary | 43.7 | 46.7 | 31 | 28.3 | 42.3 | 50.0 | |
| Secondary | 32.5 | 39.1 | 28.5 | 20.3 | 37.1 | 33.1 | |
| Higher | 0.0 | 0.0 | 50.0 | 12.5 | 50.0 | 0.0 | |
| Anemia status | Severe | 66.7 | 50.0 | 33.3 | 12.5 | 33.3 | 37.5 |
| Moderate | 44.4 | 40.5 | 29.6 | 24.7 | 43.2 | 41.8 | |
| Mild | 38.7 | 47.0 | 33.8 | 21.7 | 47.1 | 41.0 | |
| Not anemic | 31.9 | 39.5 | 15.9 | 30.2 | 30.4 | 39.5 | |
| Currently Breastfeeding | No | 31.0 | 36.4 | 20.7 | 19.7 | 29.3 | 37.9 |
| Yes | 40.5 | 44.2 | 31.1 | 25.7 | 45.5 | 42.0 | |
| Children's characteristics | |||||||
| Age group in months | 0-12 | 23 | 39.7 | 33.3 | 31.0 | 28.7 | 41.4 |
| 13-23 | 51.4 | 45.0 | 36.5 | 15.0 | 60.8 | 27.5 | |
| 24-35 | 56.1 | 38.7 | 26.3 | 27.4 | 49.1 | 45.2 | |
| 36-47 | 38.2 | 43.5 | 21.1 | 21.0 | 40.8 | 40.3 | |
| 48-59 | 31.7 | 45.7 | 28.6 | 24.3 | 38.1 | 45.7 | |
| Birth order number | 1 | 31.6 | 33.6 | 31.0 | 21.6 | 39.2 | 35.1 |
| 2 | 43.6 | 45.4 | 30.8 | 23.1 | 44.4 | 43.5 | |
| 3 | 44.4 | 62.2 | 26.7 | 37.8 | 51.1 | 56.8 | |
| 4 & above | 58.3 | 53.8 | 16.7 | 23.1 | 45.8 | 38.5 | |
| Size of child at birth | Very large | 22.2 | 30.0 | 27.8 | 10.0 | 16.7 | 25.0 |
| Larger than average | 33.3 | 47.2 | 21.1 | 13.9 | 31.6 | 52.8 | |
| Average | 37.8 | 43.6 | 29.1 | 26.7 | 42.6 | 41.1 | |
| Smaller than average | 53.3 | 44.0 | 42.2 | 36.0 | 62.2 | 48.0 | |
| Very small | 71.4 | 22.2 | 28.6 | 11.1 | 85.7 | 11.1 | |
| Sex of child | Male | 35.5 | 44.8 | 32.5 | 23.4 | 44 | 46.9 |
| Female | 41.9 | 40.1 | 26.7 | 25.2 | 41.9 | 35.4 | |
| Household characteristics | |||||||
| Type of place of residence | Urban | 33.3 | 0.0 | 20.5 | 0.0 | 33.3 | 0.0 |
| Rural | 39.6 | 43.4 | 30.5 | 24.8 | 44 | 42.0 | |
| Religion | Hindu | 39.4 | 41.3 | 30.6 | 25.1 | 43.4 | 41.7 |
| Muslim | 33.3 | 66.7 | 33.3 | 0.0 | 66.7 | 33.3 | |
| Christian | 41.2 | 68.8 | 23.5 | 25.0 | 41.2 | 56.3 | |
| Buddhist/Neo Buddhist | 22.2 | 25.0 | 0.0 | 0.0 | 22.2 | 0.0 | |
| Other | 0.0 | 30.0 | 0.0 | 20.0 | 0.0 | 20.0 | |
| Wealth index | Poorest | 44.3 | 45.6 | 29.2 | 26.8 | 47.4 | 46.5 |
| Poorer | 34.3 | 31.0 | 31.4 | 21.4 | 40.2 | 31.0 | |
| Middle | 29.5 | 43.8 | 27.3 | 0.0 | 36.4 | 6.3 | |
| Richer | 31.3 | 0.0 | 25.0 | 20.0 | 25.0 | 0.0 | |
| Richest | 33.3 | 0.0 | 33.3 | 0.0 | 33.3 | 0.0 | |
| Drinking water source | Non improved | 45.8 | 35.3 | 32.2 | 29.4 | 45.8 | 35.3 |
| Improved | 37.6 | 42.9 | 28.9 | 24.0 | 42.3 | 41.5 | |
| Toilet facility | Non improved | 41.6 | 46.5 | 31.1 | 27.4 | 48.6 | 46.5 |
| Improved | 32.0 | 37.8 | 25.0 | 20.7 | 28.0 | 34.8 | |
| Type of cooking fuel | Traditional | 39.6 | 43.9 | 29.9 | 25.4 | 44.5 | 43.6 |
| Modern | 31.0 | 28.6 | 24.1 | 14.3 | 24.1 | 17.9 | |
Source: DHS datasets of NFHS-IV & V
Table 4.
Mean of anthropometric z scores by community.
| Anthropometric z-Score | Observations (N) | Mean | Standard Deviation | Minimum | Maximum |
|---|---|---|---|---|---|
| NFHS-IV | |||||
| Height for age | 357 | -1.5609 | 1.47749 | -5.99 | 4.51 |
| Weight for age | 357 | -1.8023 | 1.10194 | -5.03 | 1.67 |
| Height for weight | 357 | -1.3016 | 1.31482 | -4.87 | 4.12 |
| NFHS-V | |||||
| Height for age | 292 | -1.7202 | 1.63437 | -5.97 | 5.13 |
| Weight for age | 292 | -1.7919 | 1.15143 | -4.99 | 2.14 |
| Height for weight | 292 | -1.1297 | 1.39808 | -4.83 | 3.33 |
Source: DHS datasets of NFHS-IV & V (Estimated)
Table 5.
Pearson Chi-square test result of the selected variables for NFHS-IV.
| Variables | Stunting % | Wasting % | Underweight % | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Chi2 value | Phi (φ)value | p-value | Chi2 value | Phi (φ)value | p-value | Chi2 value | Phi (φ)value | p-value | |
| Mother's characteristics | |||||||||
| Age in 5-year groups | 7.492 | 0.145 | 0.187 | 5.21 | 0.121 | 0.391 | 4.066 | 0.107 | 0.540 |
| Educational Status | 7.941 | 0.149 | *0.047 | 0.975 | 0.052 | 0.807 | 4.593 | 0.113 | 0.204 |
| Anemia status | 3.451 | 0.098 | 0.327 | 7.967 | 0.149 | *0.047 | 5.934 | 0.129 | 0.115 |
| Currently Breastfeeding | 1.818 | 0.071 | 0.178 | 2.538 | 0.084 | 0.111 | 5.189 | 0.121 | *0.023 |
| Children's characteristics | |||||||||
| Age group in months | 22..589 | 0.252 | *0.000 | 5.271 | 0.122 | 0.261 | 18.454 | 0.227 | *0.001 |
| Birth order number | 9.331 | 0.162 | *0.025 | 2.351 | 0.081 | 0.503 | 2.402 | 0.082 | 0.493 |
| Size of child at birth | 10.018 | 0.168 | *0.040 | 5.51 | 0.124 | 0.239 | 20.149 | 0.238 | *0.000 |
| Sex of child | 1.503 | 0.065 | 0.220 | 1.453 | -0.064 | 0.228 | 0.159 | -0.021 | 0.690 |
| Household characteristics | |||||||||
| Type of place of residence | 0.578 | 0.04 | 0.447 | 1.67 | 0.068 | 0.196 | 1.622 | 0.067 | 0.203 |
| Religion | 1.807 | 0.071 | 0.771 | 4.688 | 0.115 | 0.321 | 3.072 | 0.093 | 0.546 |
| Wealth index | 5.284 | 0.122 | 0.259 | 0.464 | 0.036 | 0.977 | 4.862 | 0.117 | 0.302 |
| Drinking water source | 1.386 | -0.062 | 0.239 | 0.265 | -0.027 | 0.606 | 0.244 | -0.026 | 0.622 |
| Toilet facility | 2.81 | -0.089 | 0.094 | 1.302 | -0.06 | 0.254 | 12.52 | -0.187 | *0.000 |
| Type of cooking fuel | 0.829 | -0.048 | 0.363 | 0.423 | -0.034 | 0.516 | 4.516 | -0.112 | *0.034 |
Source: DHS datasets of NFHS-IV (Estimated) *P<0.05
Table 6.
Pearson Chi-square test result of the selected variables for NFHS-V.
| Variables | Stunting % | Wasting % | Underweight % | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Chi2 value | Phi (φ)value | p-value | Chi2 value | Phi (φ)value | p-value | Chi2 value | Phi (φ)value | p-value | |
| Mother's characteristics | |||||||||
| Age in 5-year groups | 3.589 | 0.111 | 0.610 | 10.882 | 0.193 | *0.050 | 0.956 | 0.057 | 0.966 |
| Educational Status | 8.246 | 0.168 | *0.041 | 3.194 | 0.105 | 0.363 | 14.434 | 0.222 | *0.002 |
| Anemia status | 1.280 | 0.066 | 0.734 | 1.748 | 0.077 | 0.626 | 0.116 | 0.02 | 0.99 |
| Currently Breastfeeding | 1.300 | 0.067 | 0.254 | 0.988 | 0.058 | 0.32 | 0.365 | 0.035 | 0.546 |
| Children's characteristics | |||||||||
| Age group in months | 0.983 | 0.058 | 0.912 | 4.011 | 0.117 | 0.404 | 4.112 | 0.119 | 0.391 |
| Birth order number | 11.265 | 0.196 | *0.010 | 4.288 | 0.121 | 0.232 | 6.055 | 0.144 | 0.109 |
| Size of child at birth | 3.239 | 0.105 | 0.519 | 7.703 | 0.162 | 0.103 | 8.005 | 0.166 | 0.091 |
| Sex of child | 0.658 | -0.047 | 0.417 | 0.118 | 0.02 | 0.732 | 4.004 | -0.117 | *0.045 |
| Household characteristics | |||||||||
| Type of place of residence | 4.521 | 0.124 | *0.033 | 1.968 | 0.082 | 0.732 | 4.274 | 0.121 | *0.039 |
| Religion | 6.52 | 0.149 | 0.164 | 2.44 | 0.091 | 0.655 | 6.261 | 0.146 | 0.181 |
| Wealth index | 7.643 | 0.162 | 0.106 | 6.439 | 0.149 | 0.169 | 16.739 | 0.239 | *0.002 |
| Drinking water source | 0.38 | 0.036 | 0.538 | 0.255 | -0.03 | 0.614 | 0.251 | 0.029 | 0.616 |
| Toilet facility | 2.259 | -0.088 | 0.133 | 1.743 | -0.077 | 0.187 | 4.092 | -0.118 | *0.043 |
| Type of cooking fuel | 2.447 | -0.092 | 0.118 | 1.693 | 0.076 | 0.193 | 6.909 | -0.154 | *0.009 |
Source: DHS datasets of NFHS-V (Estimated) *P<0.05
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