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Effectiveness of Lifestyle Nutrition and Physical Activity Interventions for Childhood Obesity and Associated Comorbidities Among Children From Minority Ethnic Groups: Systematic Review and Meta-analysis

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06 May 2023

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Abstract
Lifestyle physical activity (PA) and nutrition are known to be effective interventions in preventing and managing obesity related comorbidities is adult populations, but less so in children and adolescents. We examined the effectiveness of lifestyle interventions in children from minority ethnic populations in western high-income countries. Our systematic review included 53 studies involving 26045 children from minority ethnic populations within western countries, who followed lifestyle intervention programs lasting between 8 weeks and 5 years with an aim to prevent and/or manage childhood obesity and associated comorbidities, including adiposity and cardiometabolic risks. Studies were heterogenous in terms of lifestyle intervention components (nutrition, PA, behavioural counselling) and settings (community vs. schools and after schools). Our meta-analysis included 31 eligible studies and showed no significant effects of lifestyle interventions when they focused on body weight and body mass index (BMI) outcomes [pooled BMI mean change = -0.09 (95% CI -0.19, 0.01), p=0.09]. This was irrespective of the intervention program duration (< 6 months vs. ≥ 6 months), type (PA vs nutrition/combined intervention) and weight status (overweight or obese vs no normal weight), all showed no significant effects in the sensitivity analysis. Nonetheless, 19 of the 53 studies reported reduction in BMI, BMI z scores and body fat percentage. However, majority of lifestyle interventions adopting a quasi-design with a combined primary and secondary obesity measures (11 out of 15 studies), were effective in reducing obesity comorbidities of cardiometabolic risks including metabolic syndrome, insulin sensitivity, and blood pressure in children with overweight and obesity. Preventing childhood obesity and associated comorbidities in children from high-risk ethnic minority groups is best achieved using a combined PA and nutrition intervention approach, which jointly target preventing obesity and cardiometabolic disease primary and secondary outcomes, especially measures of diabetes, hypertension, and cardiovascular disease.
Keywords: 
Subject: Medicine and Pharmacology  -   Epidemiology and Infectious Diseases

1. Introduction

Preventing the persistent rise of noncommunicable disease (NCD) such as cardiovascular disease, diabetes and cancer is an immediate public health priority [1,2,3,4]. Obesity remains the main modifiable NCD risk factor with an alarming increase globally, is now associated with reduced life expectancy [5]. Prevalence estimates show concurrent increase in obesity, physically inactivity, poor dietary quality, and patterns across all age groups [6,7,8,9]. Recent post Covid-19 reports estimated over 380 million children currently living with overweight and obesity worldwide [10,11]. Alarmingly, this age group is also at risk of an imminent rise in childhood obesity-related comorbidities including hypertension, insulin insensitivity, fatty liver, type-2 diabetes (T2D) and cardiovascular disease (CVD) [12].
There is an established evidence in adult populations on the benefits of lifestyle interventions in preventing obesity related cardiometabolic diseases such as diabetes [13]. Although the effectiveness of lifestyle interventions in children is not well established [14,15], recent reviews and meta-analyses have concluded that, overall, lifestyle interventions combining physical activity and nutritional modifications represent the most promising means for preventing childhood obesity [16,17]. However, these reviews have also highlighted that high-risk population groups, including those of ethnic minorities with increased risk of obesity and associated diseases are not targeted effectively with such interventions, especially at community level [17]. For example, children from ethnic minority groups and low socioeconomic status are at a higher risk of obesity and healthcare disparity [18,19]. Consequently, the likelihood of children with obesity from high-risk minority groups to develop comorbidities such as fatty liver, hypertension, T2D, and CVD are increased. It has been recently shown that children from ethnic minority groups who have higher rates of obesity are more likely to be exposed to both NCDs and worse COVID-19 pandemic outcomes [10,20]. We previously reported disparity in the prevalence of childhood obesity and related comorbidity, especially due to ethnicity and social inequality determinants [21]. Yet the available knowledgebase of effective intervention approaches to guide the development of childhood obesity and NCD prevention interventions targeted towards those at greatest risk, remains limited [22,23,24].
Effectiveness lifestyle interventions of improving dietary quality, physical activity (PA) levels and sedentary behaviour changes are known to ameliorate obesity and associated NCDs in children [25,26,27]. However, most of the studies have been conducted in the predominant white majority population [27,28]. It is often assumed that lifestyle interventions found to be effective in the general population, if appropriately adapted, is likely to be effective among ethnic minority populations [28]. However, discrepant effectiveness of behaviour change intervention among different population groups has been reported [29,30]. Furthermore, there is currently limited evidence to prove or disprove the effectiveness of adapted behaviour change intervention to prevent childhood obesity among minority ethnic groups [31]. It has therefore been suggested that targeted intervention is likely to be more effective than universal approach in this circumstance because the unique barriers and inequities faced by the minority ethnic groups [32]. Moreover, risk stratification and targeted intervention have been shown to have a role when high risk group face unique barriers [33].
It is therefore important to identify lifestyle intervention approaches that are likely to be effective among children from minority ethnic groups in western high-income countries (HIC), given the reported disparity in the prevalence between HIC and low- and middle-income countries (LMIC) [21]. There is currently no review or analysis on whether and how lifestyle interventions are effective in targeting high-risk minority ethnic groups to prevent childhood obesity related comorbidities. This systematic review and meta-analysis therefore aim to assess the effectiveness of lifestyle intervention among minority ethnic groups living in western HIC and describe the salient features of effective interventions in childhood obesity.
For the purpose of this review, the terms minority ethnic groups will be used to describe people of non-White decent ethnic group in western HIC, in accordance with the common terminology applied in the UK [34].

1. Materials and Methods

The protocol for this review was registered with the International Prospective Register of Systematic Reviews (PROSPERO: CRD42022369557) and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) [35].

1.1. Search Strategy

We used the Patient/population Intervention Comparator and Outcome (PICO) framework to develop the search strategy [36], and conducted systematic searches of different electronic databases using a combination of free text and medical subheadings (MeSH) terms to locate published studies. We searched databases of MEDLINE, EMBASE, CINAHL, PsycInfo, SCOPUS, Sport discus, The Cochrane Controlled Trials Register and conducted hand searching using list of reference of relevant studies. Furthermore, we searched the registers of controlled trials in progress, conference proceedings and the general Internet search using google scholar. Initially a specific search strategy of MEDLINE (see supplementary material 1) developed with help of Teesside University Librarian. This was then adapted to other databases.
The following search terms were used: [(children or adolescents or paediatric or students or school pupils or youth or boys or girls or school age or juvenile or preteens or teens) AND (BME or BAME or Black and minority ethnic group or Black African or Indian or Pakistani or Bangladeshi or Chinese or Mixed race or Hispanic)] AND [(Physical activity or Exercise or Sport or Cycling or Walking or Physical education or aerobics or fitness class/regime/program or dance therapy or intervention for or sedentary lifestyle) OR (Diet Therapy/ diets/dieting or Fasting or Healthy eating fruit or vegetable or formula die) OR (Behavior Therapy or social support or Psychotherapy, Group or family therapy or counselling or social support or peer support or Health Education/health promotion or media intervention or community intervention school program or Health Policy on food or nutrition)] AND [(obesity or body weight or adiposity or body mass index or waist circumference or neck circumference) OR (Type 2 Diabetes Mellitus or hypertension or high blood pressure or cardiovascular disease or CVD or metabolic syndrome or non-alcoholic fatty liver disease or NAFLD or depression or psychological problem or anxiety or self-esteem or sleep apneoa or asthma or respiratory problem or dyslipidemia or musculoskeletal problems)]. The searches were filtered using randomised controlled trials (RCT) and quasi-RCT study design.

1.1. Inclusion and Exclusion Criteria for Studies

As the review examined lifestyle interventions for prevention of overweight/obesity and related NCD among children from minority ethnic groups living in western HIC, studies were included if (i) they were quasi-randomised studies or RCT that compared lifestyle interventions with no intervention or other interventions with the primary aim of preventing or managing obesity and associated NCDs as these are the most appropriate study designs to determine effectiveness [37]; (ii) studies included 0 to18 year old children, with minority ethnic groups constituting the majority (at least 60%) of the study participants were considered; (iii) studies used lifestyle interventions such as physical activities, diet and reduction of sedentary activities for preventing obesity and associated NCDs; (iv) studies included outcome of interest of adiposity measures and metabolic risk factors of NCDs; (v) study setting was a western HIC; (vi) there was no restriction on timing and language provided it could be translated into English using Google translate.
Studies were excluded if (i) they were of other designs such as cohort studies, case-control studies, cross-sectional studies, case series and case reports; (ii) where participant were from adults or the general population, without minority ethnic children being the main target group; (iii) used of lifestyle intervention only for other outcome and not obesity or NCD prevention or management; (iv) were conducted in regions other than western HIC.

1.2. Study Selection, Quality Assessment, and Data Extraction

EndNote reference management software version 9, 2019 was used to upload and remove duplicates and share articles identified from the search between reviewers.

1.2.1. Selection Process

Two reviewers independently screened all the title/abstracts of identified studies against inclusion and exclusion criteria (see annex 2). A reviewer retrieved full papers of selected articles and two reviewers reviewed them in detail. The reasons for excluding a full text study were documented. Search results is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) flow diagram (figure 1) [38].

1.2.2. Risk of Bias in Individual Studies

In this review, the risk of bias for all selected study was assessed using the Cochrane risk of bias tool [39]. Unlike most tools used for assessing quality of studies in the context of systematic review, the Cochrane tool is not a scale or a checklist. [40]. It is a domain-based evaluation that allows for critical assessment of different domains in a RCT [39]. Given that it is impossible to quantify bias in a given study, such a tool allows for qualitative and quantitative value judgment and therefore more realistic than checklist or scale based tools [41].
Two reviewers independently determine the risk of bias in individual studies using the Cochrane risk of bias tool (see supplementary material 3). Six domains of the study design and reporting were assessed: Random sequence generation for randomisation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment and selective reporting. With this tool, studies are classified as high, unclear (where the domains were not clearly described) or low risk of bias. [39]

1.2.3. Data Extraction Process (selection and coding)

A reviewer extracted data from studies included in the review using a data extraction checklist and a second reviewer examined the extracted data. Any dispute was resolved through discussions. Data regarding study population, methodology, intervention/comparator details, outcome and main results were extracted and tabulated for analysis.

1.3. Data Synthesis

We carried a narrative synthesis of the results of both RCT and quasi-experimental studies to compile data and identify common patterns. We compared the results of studies that used direct or indirect lifestyle interventions such as counselling to prevent or manage obesity and associated NCDs among children. We also made comparison of outcome, types of intervention, intervention duration, setting of intervention, and duration of intervention. Ultimately the data synthesis teased out intervention approaches that have been effective among children from minority ethnic groups and those that were not effective. Both tables and texts were used to summarise these findings.

1.4. Statistical Analysis

We conducted meta-analysis using Review manager (RevMan) 5.4 [42] where appropriate. For example, when complete pre-post measures such mean BMI/BMI z score, sample size, standard deviation or standard error were available for intervention and control groups, an RCT was included in meta-analysis. The first step in meta-analysis was to assess mean differences (MD) in outcomes for both the intervention and control group by comparing changes in the mean as the difference between post-intervention and baseline measures. For calculating MD, available adjusted or unadjusted means as reported in the included studies were used. The corresponding changes in standard deviation (SD) were not directly reported in most studies, and therefore was estimated using the formula suggested by the Cochrane handbook for systematic reviews of interventions [43]. Where standard error was reported, this was converted to SD using the formula: Standard deviation (s) = Standard Error * √n (where n = sample size) [44]. The second step involved estimating the pooled effect for outcomes, where at least two RCTs reported on the same outcome variables. The pooled effects as gain in the intervention group against the change in comparator group was reported as the pooled effect estimate with 95% CIs. The study weights were equal to the inverse of the variance of effect estimate of each study as suggested by DerSimonian and Laird [43]. The overall effect was interpreted as statistically significant if the 95% CIs did not include the null value of 0 (no difference) in their range. Sensitivity analyses were performed to assess whether correlation of 0.5 or 0.8 affected the interpretation of the pooled effect. Heterogeneity, i.e., variation in the intervention effects observed in the included studies, was quantified using the I2 statistic. Results are to be interpreted with caution where there is significant heterogeneity (I2 > 50%).

2. Results

2.1. Study Selection

A total of 5751 unique articles were identified through the search after removing duplicates. Following titles and abstracts screening, we examined 246 full texts articles for eligibility. Of the full text articles examined, 53 of full texts articles met our inclusion criteria (Figure 1).
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2.2. Characteristics of Included Studies

We have listed details of each of the included studies in table 1. All but one of the included studies were conducted in the USA. The study that was not conducted in the USA was carried out the United Kingdom (UK) [45]. Of the 53 included studies, 44 were RCTs and nine quasi experimental pre-post design. There were 19 studies conducted in a school setting; 12 in community and home settings; 11 in more than one setting, such as school-based activities with homework or parental involvement and clinic and home setting; nine in health care settings, such hospitals, primary health care and paediatric clinics; and three studies were web/online based.
A total of about 26045 participants with an average sample size per study of 477 and a range of 17 to 4044 took part in the studies. About 62% of included studies had participants who were predominantly Hispanic Americans, 13% of studies had predominantly African Americans, 9% of studies had participants of mixed ethnic minority groups and four studies had Asian Americans as their main participants. The age of participants ranged from zero (new-born infants to mothers who participated in interventions [46]) to 18-year-old adolescents. Female participants comprised 44% of the total sample and 45% of studies targeted participants who were either overweight or obese (BMI ≥85th United States CDC BMI percentile for age and sex).
Most intervention programme (77%) were a combination of nutrition, physical activity and behaviour change intervention. PA alone comprised 13% of interventions, while nutrition alone and general behaviour change intervention comprised 5% each. Majority, 64%, of the intervention were implemented for 6 or more months whereas 36% were implemented for less than six months. The duration of implementation varied from eight weeks up to five years. There were three RCTs [47,48,49] that had more than one intervention groups. There were 18 of the 53 included studies that reported on the theoretical framework or model for the intervention. These included Social Cognitive Theory (n=8), Socio-ecological approach (n=3), Transtheoretical model (n=3), Chronic Care Model (CCM) (n=1), Behaviour change theory (n=1), Social contextual change (n=1), Self-efficiency (n=1) and Health belief model (n=1).
The type of control or comparison groups varied across the studies (see table 1). Fifty-two percent (52%) of RCTs compared interventions with ‘standard intervention’/ ‘usual care’ whereas 48% compared interventions with relatively more active comparisons such as school-readiness programmes, self- esteem programmes, health and safety programmes, general health programmes and self-help programmes.
Most of the included studies (49) targeted obesity prevention (primary and secondary) as the main outcome. There were 18 studies that targeted cardiometabolic NCD risk factors such Insulin resistance, hyperglycaemia, hyperlipidaemia, and high blood pressure either as primary or secondary outcome. The most used measures of adiposity were zBMI and BMI. Twelve studies used BMI only as the measure of adiposity whereas nine studies used zBMI only as the measure of adiposity and six studies used a combination of BMI and zBMI as measures of adiposity. Seven studies used BMI in combination with other measures of adiposity such as percentage body fat, waist circumference (WC) and waist-hip-ratio. Twelve studies combined measures of adiposity and cardiometabolic outcome measures whereas four studies used measures of cardiometabolic risk factors only as primary outcome.
Table 1. Characteristic of intervention studies for obesity and associated comorbidity prevention in children from minority ethnic populations.
Table 1. Characteristic of intervention studies for obesity and associated comorbidity prevention in children from minority ethnic populations.
Study Study design, setting and sample Study participant (sample, ethnicity, and age) Intervention (Type, duration, frequency, and theory base) Comparator control Main results Comments
Yli-Piipari et al., 2018, USA [50]. Quasi-experimental one-arm pre- and post-test design, conducted in a
primary care setting.
22 high-risk Hispanics children, with overweight and obesity (BMI ≥85th United States CDC BMI percentile for age and sex);
Mean age 11.7 years; 27% female.
12 weeks PA and nutrition behaviour programme:
Twice per week 60 min (total of 24 hours) of moderate-to-vigorous intensity Boxing exercise, a 12 hours of nutrition education for guardians, and a 30-min paediatrician appointment
None BMI (kg/m2) change: t(15)=-2.
BMI% change: t(15)=-2.53, p = 0.023, d = 0.20.20, p=0.044, d=0.5. BM z score change: t(15)=-3.64, p=0.002, d=0.19.
WC change: t(17)=-2.57, p=0.020.
Fasting glucose change: t (15) = -6.43, p < 0.001, d = 1.67.
In Hispanic minorities with severe obesity, the multicomponent supervised exercise and nutrition intensive programme is effective, in the short term, in reducing obesity and metabolic risk (fasting glucose). However, long term adherence to this program is unknown.
Yin et al., 2012, USA [49]. Quasi-experimental pre- and post-test design with two groups; Community Head start centres and home base settings 384 predominantly Hispanic Children; 52% female; attending community head start centres; and aged 3 to 5 (mean =4.1) years. 18 Week intervention PA and Nutrition. Centre based intervention: i). PA: 60 minutes of structured (15 – 20 minutes) and free play (30 – 45 minutes) per day ii) Nutrition promotion
Home based intervention:
i). Peer led parent obesity education.
ii). healthy snack for their children (<150 calories).
Control group received intervention materials and implementation training upon completion of the study Adjusted difference in BMI z-score for age and gender between Centre based intervention + home based and comparator –0.09 (P<0.09), Adjusted difference in BMI z-score for age and gender between comparison and centre-based intervention = -0.04 (not significant) This large size study with intervention in both centre and home setting targeting both PA and Nutrition showed improvement in BMI z scores though not statistically significant. Participants were children not described as overweight or obese, therefore nonsignificant reduction in zBMI is to be expected.
Yin et al., 2005, USA [51]. Quasi-experimental pre- and post-test design with two groups; in
elementary school setting.
601
predominantly black (61%) elementary school children; Mean age of 8.7 years, female 52% with
24 weeks (8 months) after school programme:
i) 40 minutes academic enrichment
ii) Healthy snack
iii) 80 minutes PA
265 children served as control, who only received health screening (no after school activities). BMI (kg/m2) change: -0.16 (-0.40,0.07) p=0.18.
% Body fat (BF): 0.76 (1.42, 0.09) p=0.027.
Fat mass (FM) (Kg): -0.29 (-0.70,0.13) p=0.17.
Free fat mass (FFM) (kg) 0.18 (-0.04, 0.40) p=0.12.
WC (cm): -0.4 (-1.1,0.4) p=0.32.
SBP (mmHg): -1.8 (-4.2,0.6) P=0.15.

DBP (mmHg): -1.1 (-3.6, 1.5) p=0.41.
TC (mg/dl): -0.2 (-6.2, 5.7) P=0.94.
HDL (mg/dl): 0.7 (-2.1, 3.5) p=0.64
After-school intervention programme had some effects on BMI, body fat and lipid profile in Black communities, but not statically significant. The interventions are difficult to adhere to in home and community setting because it lacked parental involvement.
Wylie-Rosett et al., 2018, USA [52]. RCT;
safety-net paediatric primary care setting in Bronx, New York.
360
predominantly Hispanic (73%) children with BMI ≥85th United States CDC BMI percentile for age and sex;
aged 7 to 12 (mean =9.3) years, 33% were female.
A 12-month programme: 8-weekly:
i). Standard care
ii). Enhanced programme (skill building core: food preparation or other skill activity for parents/guardians and children, PA session for the children and discussion session for parents/ guardians regarding their role in weight management. + Post-core programme support)
Standard care – Quarterly visits to see a paediatrician for the weight management. BMI Z-score change:
The mean BMI Z-score decreased in both programmes, 0.12kg within the Standard Care (p < 0.01) and 0.15kg within both Standard Care + Enhanced Program (P < 0.01. No significant difference between the two programmes.
Older children had a greater decline in BMI Z-score than younger (beta −0.04 units per additional year of age; P = <0.01).
Girls exhibited a greater decline in BMI Z-score than boys, (β = 0.09 P = 0.03).

TC (mmol/L) change: -0.1 P=0.05.
HDL (mmol/L) change: 0.01 p=0.67.
LDL (mmol/L): -0.07 p=0.04.
Triglyceride (mmol/L): -0.06 p=0.08.
In high-risk (with overweight/obesity) children, the enhanced care was not more effective than standard care, though clinical care in both groups reduced weight and improved lipid profile.
Wong et al., 2016, USA [53]. A non-randomized trial: setting of community centres located in low- income neighbourhoods within the city. 877 Hispanic and African American children, age 9 to 12 years with 47% female. A nine-month programme:
i). 90 minutes of structured PA twice a week for six weeks in the fall, early spring, and at the end of the school year.
ii). 30 minutes of nutrition or healthy habits lessons twice a week during each of the three 6-week sessions.
Regular after-school childcare enrichment programs at community centres offered by the site staff such as homework time, arts, and crafts activities, and supervised free play. There were no significant intervention effects BMI (P=0.94), BMI z score (P=0.88) and BMI percentile (P=0.23) Structured 90 minutes PA plus nutrition education was not more effective than supervised free play in reducing weight but helped enhance regular exercise.
Wilson et al., 2022, USA [54]. RCT;
Online setting.
241African American, child/care giver dyads. Children aged 11- and 16-years with BMI ≥85th United States CDC BMI percentile for age and sex. 24 weeks (6 months) programme:
i). 8 week tailored online education on parenting, nutrition, PA and decreasing screen time. This was followed by 3 online booster sessions, 1 every 2 months.
Control online program There were no significant intervention effects BMI. significant effect of the group intervention on parent light physical activity at 16 weeks (B = 33.017, SE = 13.115, p = .012) and a similar trend for adolescents. The Online programme was not effective for BMI but had useful impact on physical activities.
Actual data was not shown on BMI means difference between intervention and comparators for both children and parents.
Williford et al., 1996, USA [55]. Quasi-experimental with pre- and post-test analyses;
school setting.
17 African American male children in 7th grade from a physical education class;
aged 11 to 13 (mean=12.8) years.
15-week programme:
5days/week for 45 mins session of PE class + conditioning programme (aerobic training 3 days and weight training 2 days).
PE class as usual Sum of 7 Skin fold thickness (mm): 99.01 ± 67.8 to 97.7 ± 67.4 p=0.09.
TC (mmol/L): 4.03 ± 0.81 to 4.03 ± 0.77 p=0.98.
HDL (mmol/L) change intervention group: 1 ± 0.18 to 1.28 ± 0.17 p<0.05.
LDL (mmol/L) change intervention group: 2.73 ± 0.74 to 2.41 ± 0.81 p<0.05
Small improvement in HDL and LDL from the PA intervention. However, the sample was small, and it is not clear how effective this PA alone intervention is on overweight/obesity.
Williamson et al., 2006, USA [56]. RCT;
internet based interactive behaviour therapy.
57 African American girls,
Aged 11 to 15 (mean=13.2) years, with BMI >85th percentile for age and gender based on 1999 National Health and Nutrition Examination Study normative data and with a biological parent with BMI>30.
A 96 weeks (24 month) internet programme:
i) An interactive behavioural internet program
ii) Face-to- face sessions and e-mail correspondence by a counsellor.
An internet health education program (a passive (non-interactive) program that provided useful health education for the parents and the adolescents by electronic links to other health-related web sites.) BMI, F (3,54) = 3.13, p < 0.04.
BF % change: 0.08 ± 0.71 vs. 0.84 ± 0.72 BF, P<0.05.
The internet- based intervention was effective in reducing weight in overweight/obese girls. However, the girls appeared to be a highly motivated groups as they were willing to purchase their own computers at, at least $300.00.
Van der Heijden et al. 2010, USA [57]. Quasi-experimental with pre- and post-test analyses;
recruitment done the community setting, checking done in hospital for good health.
29 Hispanic adolescents, Median age 15 years, obese and lean (obese participants had BMI >95th and all lean participants <85th percentile for age according to CDC growth charts). Female were 48%. A 12-week PA programme supervised by an experienced exercise physiologist:
i) PA: a twice a week 30-min aerobic exercise session at ≥70% of peak oxygen consumption (VO2peak) at a hospital physical therapy unit.
.
None In obese participants, intramyocellular fat remained unchanged, whereas hepatic fat content decreased from 8.9 ± 3.2 to 5.6 ± 1.8%; P < 0.05 and visceral fat content from 54.7 ± 6.0 to 49.6 ± 5.5 cm2; P < 0.05.
No significant changes were observed in lean participants.

Insulin resistance: Decreased fasting insulin (21.8 ± 2.7 to 18.2 ± 2.4 μ/ml; P < 0.01) and homeostasis model assessment of insulin resistance (HOMAIR) (4.9 ± 0.7 to 4.1 ± 0.6; P < 0.01).
No significant changes were observed in lean participants
Aerobic exercise in a controlled environment reduced hepatic fats, visceral fats, and insulin resistance in obese participants. The sample was small and in selected individuals with severe adiposity, therefore may not be generalisable.
Tomayko et al., 2018, USA [58]. A modified crossover design; 4 tribal reservations and one urban clinic setting. 450 American Indian adult/child dyads, children were aged 2 to 5 (mean 3.3) years and 50% female. A 52 weeks (12 months) programme:
Monthly mailed healthy lifestyle lessons, items, and children's books addressing six targets: increased fruit and vegetable consumption, decreased sugar consumption, increased PA, decreased screen time, improved sleep habits, and decreased stress (adult only)
Active control -crossover. BMI-z score at 1 year:
Intervention = 0.80 ± 1.10
Comparator = 0.76 ± 1.04 p=0.513
The unsupervised mailed education materials were not effective in reducing BMI z scores. The extent to which the material was used is unknown.
Taveras et al., 2017, USA [59]. RCT;
6 paediatric practices in an urban setting.
721 predominantly (65%) non-White children, aged 2 to 12 (mean = 8) years with BMI ≥ 85th percentile for age according to CDC growth charts. Female comprised 51% A 12-month programme,
enhanced primary care plus contextually tailored, individual health coaching lasting 15 – 20 minutes using telephone, videoconference (Vidyo), or in-person visits.
enhanced primary care
2 monthly educational materials focusing healthy lifestyle behaviour change.
BMI z score: In the enhanced primary care group, adjusted mean (SD) BMI z score improvement of −0.06 BMI z score units (95% CI, −0.10 to −0.02) from baseline to 1 year. In the enhanced primary care plus coaching group, improvement of −0.09 BMI z score units (95% CI, −0.13 to −0.05). However, there was no significant difference between the 2 intervention arms (difference, −0.02; 95% CI, −0.08 to 0.03; P = 0.39). Advanced clinical care improved BMI z scores in high-risk children (overweight/obese), but additional individual coughing did not add effect.
Story et al., 2012, USA [60]. RCT;
schools in reservations.
454 American Indian children attending Kindergarten and first grade, mean age 5.8 years, and 49% female. A 45-week Programme:
i). PA: school-based PA, at least 60 minutes daily.
ii). Nutrition: Healthy eating at school.
iii). Family-focused intervention: improving nutrition, PA and reducing sedentary lifestyle.
iii). Parents received telephone motivational encouragement
Usual school activities and no change to family environment Mean BMI (kg/m2) net difference (I vs C): 0.34 p=0.057
BMI-z net difference: 0.01 p=0.904.

%BF net difference 0.9 p=0.122.
Prevalence overweight (BMI ≥85th percentile and <95th): net difference. 10.14 p=0.019.
Prevalence obese (BMI ≥95th percentile): 2.11 p=0.503
Interestingly, this multicomponent programme reduced the prevalence of overweight although participants were young children and not described as overweight,
Stolley et al., 2003, USA [61]. RCT;
Public Schools settings.
618 African American preschool children, age 3 to 5 (mean = 4.3) years, with 53% female. A 14-week programme:
i). Education: two lesson sessions each week on healthy eating and exercise
ii). 20-min PA, two sessions each week.
iii). Parents received a weekly newsletter
Usual preschool activities Adjusted BMI(Kg/m2) diff. -0.08 P=0.28.
Adjusted BMI z scores = -0.05 p=0.23.
Predominantly nutrition and PA education intervention reduced BMI z scores, but not more effective than usual school activities.
Soltero et al., 2018, USA [62]. RCT;
recruitment through schools, community centres, and healthcare organizations but intervention administered at YMCA centres settings.
160 Hispanic children aged 14 to 16 years with BMI BMI ≥ 95th percentile for age and sex according to CDC growth charts or a BMI ≥30 kg/m2. Female were 46% A 52-week (12 months) programme:
i). Nutrition and health education one days/week, 60 minutes.
ii). PA: exercise curriculum was delivered by fitness instructors three days/week for 60 minutes
iii). Behaviour changes strategies.
Handout with general information on healthy lifestyle behaviours
Changes in insulin sensitivity (using insulin and glucose sensitivity during OGTT):
Intervention: 0.8±0.1 to 2.2±0.1, p<0.01.
Comparator: 1.7±0.2 to 1.7±0.1, p>0.05.
Between group difference (delta difference) = Δ=0.37, p<0.05 at 12 weeks. Δ=0.21, p>0.05 at 12 months (no difference).
Within group changes in intervention group at 12 months:
BMI (kg/m2) = 1.16
P<0.001.
BMI% = -0.1 P=0.95.
%BF = -0.63 p=0.65.
WC (cm) = 1.68, p=0.29.
At 12-months, between group differences in BMI% and percent body fat remained significant (all p<0.01); however, changes in WC was not (p=0.078).
There seems to be short term effective in increasing insulin sensitivity but no difference long term in this high-risk group with obesity. The intervention was shown effectiveness in reducing adiposity parameters and sustain at 12 months. This long duration Nutrition education and PA intervention improved insulin resistance but only in the short term.
Slusser et al., 2012, USA [63]. RCT;
Family clinic & Wellness Centre, and community sites serving low-income predominantly Hispanic community.
161 Hispanic children, aged two to four years living in the home. A 17-week program comprised of: 9 sessions lasting 90minutes of parent training based on social learning theory Care as usual and a standard nutritional informational pamphlet BMI percentile changes:
Intervention -3.85
Comparator = 1.33
BMI Z scores diff. between Intervention group and control -2.4 P=0.04.
(Children in the intervention group decreased their BMI z-scores significantly on average by 0.20 (se= 0.08) compared to children in the control group who increased z scores on average by 0.04 (se=0.09) at one year (P<0.05).
Only 9 sessions over 17 weeks of parent training were effective in reducing overweight/obesity in pre-school children, from low come families. Not clear whether would be the same in larger population or over longer period
Shaibi et al., 2006, USA [64]. RCT;
participants were recruited through medical clinics, advertisements, and local schools. Intervention was conducted at Girls and Boys clubs.
22 Hispanic male adolescents, mean age 15.3 years, with overweight, BMI ≥ 85th percentile for age according to CDC growth charts A 17-week programme: i). PA: twice-per-week resistance training non-exercising control group Changes insulin sensitivity (x10-4 min-1mL1, using insulin and glucose sensitivity during OGTT):
I = 0.9±0.1 p<0.05
C = 0.1±0.3
The intervention group significantly increased insulin sensitivity compared with the Comparator group (P < 0.05)
Resistance training alone significantly reduced metabolic risk factor of insulin sensitivity within 3 months in overweight/obese children. However, its effect on adiposity was not reported.
Robinson et al., 2021, USA [65]. RCT;
recruitment was done through medical clinics, advertisements, and schools. Administration of intervention was done at Los Angeles Boys and Girls Club.
241 primarily Hispanic children, aged seven to 11 years with overweight or obesity, BMI ≥ 85th percentile for age and sex according to CDC growth charts. Female were 56%. A 3-year community-based, multi-level, multi-setting, multi-component (MMM) Programme:
i). Home environment changes and behavioural counselling,
ii). community after school team sports,
iii). Reports to primary health-care providers
General Health Education (HE) Mean adjusted difference in BMI trajectory over 3 years between MMM and HE = −0.25 (CI −0.90, 0.40) kg/m2, Cohen’s d = −0.10, p= 0.45).
The multi-component and multi-level intervention did not reduce BMI gain in low-socioeconomic Hispanic children with overweight, despite the long duration of intervention. However, there was drop in participation over time.
Rieder et al., 2013, USA [66]. Quasi-experimental with pre- and post-test analyses;
community setting.
349 majority minority ethnic group (52% blacks and 44% Hispanic), mean age 15 years. Female were 54% A 9-month programme:
i) Teaching of healthy lifestyle principles.
ii). PA: 60 minutes/week moderate PA.
iii). Monthly family healthy behaviour education
No comparator intervention Decreases in BMI (kg/m2) (- 0.07 per month; p < 0.001).
Percent overweight (- 0.002%/month; p < 0.001)
BMI z-score (- 0.003/month; p < 0.01).
Decrease in BMI percentile (- 0.006 percentile/month; p = 0.06).
This 9-month education and PA showed a small effect in reducing overweight/obesity in adolescent. However, their pre-intervention weight status is unknown.
Resnicow et al., 2005, USA [67]. RCT;
churches in a rural setting.
147 African Americans female children aged 12 to 16 years with BMI > 90th percentile for age and sex according to CDC growth charts A 26 weeks (6 months) multicomponent programme tailored to the population.
High intensity (24 to 26 sessions).
i). At least 30 minutes of moderate to vigorous PA,
ii). Preparation and/or consumption of low-fat, portion-controlled meals or snacks.
iii). Parental involvement.
Moderate-Intensity Intervention.
Six session of education, topics included: fat facts, barriers to physical activity, fad diets, neophobia (i.e., fear of new foods), and benefits of PA
0.5 BMI units’ difference. This difference was not statistically significant (p = 0.20). There was no difference between high intensity and moderate intensity PA over 6 months in a group obese African American adolescent girl. However, both showed some improvement in adiposity.
Prado et al., 2020, USA [68]. RCT;
community setting.
22 Hispanic children mean age 13.1 years (in 7th/8th grade) who were overweight or obese, BMI > 85th percentile for age and sex according to CDC growth charts. Female were 88% A 12-week programme with 2.5-hour:
1.5-hour lifestyle education involving families and children, and 1 hour of PA for the children). PA was coach supervised in local park.
Prevention as usual, participants were referred to their local health department’s health initiative Internet page and the usual programs they offer to reflect the typical services that overweight and obese adolescents may receive in their own community.
BMI (kg/m2) difference baseline and 2 years: -0.3 (CI -0.7 to 0.1) p=0.15 (not significant). Small sample and short duration lifestyle education intervention. No effect demonstrated. Not generalisable because of selected small sample.
Polonsky et al., 2019, USA [69]. RCT;
Communities and schools.
1362 predominantly black, fourth- through sixth-grade students, Mean age 10.8 years, with 51% female. A 2-year programme:
Free school breakfast; 18 session 45 minutes nutrition education; items with the one healthy breakfast logo;
Control schools served breakfast free of charge in the cafeteria before school, and existing SNAP-Ed nutrition education continued in control schools. There was no significant difference in the combined incidence of overweight and obesity between intervention schools (11.7%) and control schools (9.1%) after 2.5 years (odds ratio [OR], 1.42; 95% CI, 0.82-2.44; P = 0.21. Healthy school breakfast and education alone without PA or home environment change was not shown to be effective in preventing overweight and obesity. Moreover, the incidence of overweight and obesity was slightly higher in the intervention group
Pena et al., 2022, USA [70]. RCT;
Community YCMA centres setting.
117 Hispanic youths aged 12 to 16, with prediabetes (fasting glucose 100 to 125 mg/dL or HbA1c) level of 5.7% to 6.4%) and obesity BMI >95th percentile for age and sex according to CDC growth charts. Female were 40% A 52-week (12 months) programme:
i). One day/week of nutrition and health education with behaviour change skills training
ii). PA: Three days/week of physical activity.
Comparator group met with a paediatric endocrinologist and a bilingual, bicultural registered dietitian to discuss laboratory results and develop SMART goals for making healthy lifestyle changes. The intervention led to significant decreases in mean 2-hour glucose level (baseline: 144 mg/dL; 6 months: 132 mg/dL; P = .002) and increases in mean insulin sensitivity (baseline: 1.9 [0.2]; 6 months: 2.6 [0.3];
P = .001).
The one-year education and structured PA intervention was effective in decreasing NCD metabolic risk in a high-risk group. However, there was no information on effect on overweight/obesity.
Novotny et al., 2015, USA [71]. RCT;
clinic setting.
85 predominantly Asian children, aged 5 to 8 years; with BMI between the 50th and 99th percentile for age and sex according to CDC growth charts. Female were 62%. A 39-week (9 months) programme:
i). Handout on recommended eating pattern, DASH of Aloha cookbook,
ii). Farmers Market locations,
iii). A PA location/ map in
the study informational packet
Received a welcome
letter and attention control mailings on unrelated
health topics, such as importance of hand washing, sun
protection, and dental hygiene, at 2, 5, and 8 months.
There was no significant effect of the DASH intervention
on change in BMI Z score, SBP, waist circumference,
total body fat by skinfolds, PA level, or total HEI
score (p > 0.05.
DBP percentile was 12.2 points lower in the
treatment group than the control group (p = 0.01).
The only effect was on DBP. However, as participants were a clinic setting there could have ongoing clinical care.
Norman et al., 2016, USA [72]. RCT;
clinic setting.
106 predominantly Hispanic (82%) children aged 11–13 years who are obese, BMI > 95th percentile for age and sex according to CDC growth charts. Female were 51% A 17 week (Four-month) ‘steps’ beginning with the most intensive contact followed by reduced contact if treatment goals were met. Based on Chronic Care Model (CCM) and social cognitive theory).
i). Counselling, Physician led on healthy dietary and PA.
ii). Health educator visits discussed weight management, barriers to healthy eating and PAs
iii). Follow up phone calls,
Participants received an initial counselling visit by the physician, one visit with a health educator, materials on how to improve weight-related behaviours, and monthly follow-up mailings on weight-related issues. BMI (kg/m2) change difference between intervention group and comparator: Boys 1.3 p=0.003. Girls 0.7 (p=0.15).
BMIz score change difference between intervention group and comparator between intervention group and comparator: Boys 0.1 p=0.008. Girls -0.2 (p=0.42).
BF (kg) No difference Boys P=0.26. Girls (P=0.11).
Fasting lipid and BP no difference.
The intervention was shown to be effective in reducing BMI among boys but not girls. The intervention was, however, tested in age group 11 to 13, a period of growth sprout in girls.
Messito et al., 2020, USA [73]. RCT;
clinic setting.
643 Hispanic pregnant mothers with a singleton uncomplicated pregnancy and postpartum infants. Fifty-four (54%) of infants were female. 33-month programmes based on Social cognitive theory to promote healthy behaviours:
i). Prenatal nutrition counselling,
ii). Postpartum lactation support,
iii). Nutrition and parenting support groups coordinated with paediatric visits.
Standard prenatal, postpartum, and paediatric primary care. Intervention infants had significantly lower mean WFAz at 18 months (0.49 vs 0.73, P = .04) and 2 years (0.56 vs 0.81, P = .03) but not at 3 years (0.63 vs 0.59, (P = 0.76).
Obesity prevalence was not significantly different between groups at any age point 33.5% vs 39.4% (P=0.11)
The intervention targeting mothers was only effective up to 18 months, but not sustained at 3 years
Johnston et al., 2007, USA [74]. RCT in a
setting of a school that serves an urban student population.
60 Mexican American children between the ages of 10 and 14 years with BMI ≥ 85th percentile for age and sex according to CDC growth charts. Female were 45% A six-month programme:
i). PA: A 12-week instructor/ trainer-led intervention, 4 days per week, lasting 35 to 40 minutes at school location.
ii). Nutrition instruction (1 day/week)
iii). Parents monthly meetings to teach them how to adapt family meals and activities to facilitate healthy changes.
Six-month parent-guided manual intended to promote child weight loss and long-term maintenance of changes. zBMI in the intervention group significantly reduced compared the comparator group (F = 11.72; (P < 0.001), with significant differences in zBMI change at both 3 and 6 months (F = 16.50, (P < .001) and F = 22.01, (P < .001), respectively
Children in the intervention group significantly reduced their total cholesterol (F = 5.27; P = 0.027) and LDL cholesterol (F = 7.43; P = 0 .01) compared with children in the comparison condition at 6 months.
In an urban setting, structured PA and nutrition was more effective than parental education alone over a short duration, 12 weeks. It is however uncertain whether this improvement can be sustained long term.
Johnston et al., 2013, USA [75]. RCT in a
setting of a school that serves an urban student population.
71 Mexican American adolescents aged 10 to 14 years. Female were 55% 12-week programme:
12 weeks of daily instructor/trainer led, healthy eating and PA behaviour change intervention sessions followed by 12 weeks of biweekly follow-up session. Based on Behaviour theory
Given a parent-guided manual for the prevention and treatment of childhood obesity.
The manual provides a 12-week weight management plan and instructions for long-term maintenance of changes.
Repeated-measures analyses revealed that adolescents in intervention significantly reduced their BMI z scores compared with adolescents in control (F = 8.34; p < .001).
Similar results for BMI (overall: F = 6.0, p < .01; 1 year: F = 6.6, p < .05; 2 years: F = 7.0, p < .05) and BMI percentile (overall: F = 5.8, (p < .01); 1 year: F = 5.6, (p < .05); and 2 years: F = 6.6, (p < .05).
TC: F = 5.27; P=0 .027).
LDL: F = 7.43; P =0.01.
HDL: (F 1= .5, P>0.05).
TG: (F = 0.5, p>0.05).
Structured PA, nutrition education and long-term follow up was more effective than parental education in reducing both overweight/obesity and metabolic NCD risks. This effect was sustained for over 2 years.
Hull et al., 2018, USA [76]. RCT;
home setting, Metropolitan area.
318 Hispanic children aged 5 to 7 years with at least one adult parent of Hispanic origin (self-identified)
child with BMI ≥25th <-35/kg/m2 percentile. Female were 52%
52 weeks (12 months) programme aimed to increase PA, decrease sedentary behaviour, and improve healthy eating behaviours.
Used parental modelling and experiential learning for children. Was based on Social cognitive theory, behavioural choice theory, and food preference theory.
Focused on oral health Intervention short-term effect:
BMI z 0.068 (P=0.11).
BMI 0.084 (p=0.42).
WC-to-Height ratio -0.004 (p=0.15).
WC-to-Hip ratio 0.005 (p=0.24).

Intervention long-term effect:
BMI z 0.023 (P=0.25).
BMI (Kg/m2) 0.067 (p=0.27).
WC-to-Height ratio 0.006 p=0.02.
WC-to-Hip ratio: -0.004 (p=0.15).
The purely education and behaviour change intervention showed no effect.
Hughes et al., 2021, USA [77]. RCT in a
community childcare centres settings.
25 predominantly Hispanic children aged were 3 to 5 years. Female were 50% A 7-week programme:
Weekly teaching curriculum on Nutrition and PA.
The control arm received no curriculum BMI z-score showed no significant (F = 0.18, P = 0.91). Short duration nutrition education and infrequent PA showed no effects.
Hollar et al., 2010, USA [78]. Quasi-experimental with pre- and post-test analyses in setting of elementary schools. 1197 predominantly Hispanic children, mean age 7.8 years. A 2-year programme:
i). Dietary intervention: Modifications to school-provided breakfasts, lunches, and extended-day snacks in the intervention schools.
ii). PA. opportunities for PA during the school day.
Usual practice Significantly more children in the intervention schools than in the control school stayed within the normal BMI percentile range for both years of the study (P=0.02). Long duration actual dietary change and PA reduced BMI.
Heerman at al., 2019, USA [79]. RCT;
physicians’ offices and community settings.
117 majority Hispanic child-parent pair, children, aged 3 to 5 years, Spanish speaking, and a BMI >50th percentile age and sex according to CDC growth charts. Female were 54% A 15-week programme:
i). Weekly, 90-minute education and PA sessions, followed by twice-monthly of health coaching calls for 3 months.
The control group was a twice-monthly school readiness curriculum for 3 months. After adjusting for covariates, the intervention’s effect on linear child BMI growth was -0.41 (Kg/m2) per year (95% confidence interval -0.82 to 0.01; (p = 0.05). Surprisingly health coaching alone showed effects in young children, however the study was under powered and not generalisable.
Hasson et al., 2012, USA [80]. RCT;
clinic setting.
100 African American and Latino children aged 14 to 18 years with obesity BMI >95th percentile for age and sex according to CDC growth charts. Female were 61% 16 week programme:
Intervention 1(N):
Nutrition (N) education only, once per week targeting and four motivational interviewing (MI) sessions during the 16 weeks
Intervention 2 (N+ST):
Nutrition (N) + strength training (ST): In addition to the nutrition education, participants in the N+ST group also received strength training twice per week (~60 min/session) for 16 weeks at a Lifestyle Intervention Laboratory.
No intervention but pre and postintervention data collection
There were no significant differences in BMI, BMI z-score, BMI percentile between N+ST, N and control groups.
However N compared to N+ST and control reported significant improvements in insulin sensitivity (+16.5% vs. −32.3% vs. −6.9% respectively, (P < 0.01) and disposition index (DI: +15.5% vs. −14.2% vs. −13.7% respectively, (P < 0.01).
Hepatic fat fraction (HFF): The N+ST group had a 27.3% decrease in HFF compared to 4.3% decrease in the N group
Both Nutrition and Nutrition plus strength training were not effective in reducing BMI but improved insulin sensitivity.
Haines et al., 2016, USA [81]. RCT;
Community health centres and community agencies.
112 predominantly Hispanics parents/child dyads with children aged 2-5 years with 50% female A 39-week programme:
A total of 9 sessions of parenting skills, children’s education, and homework assignments (based on social contextual framework theory)
Mailed publicly available educational materials on promoting healthful behaviours among pre-schoolers [e.g., My pyramid for pre-schoolers each week for 9 weeks. BMI (kg/m2) decreased by a mean of 0.13 among children in the intervention arm and increased by 0.21 among children in the control arm, with an unadjusted difference of 20.34 (95% CI 21.21, 0.53). After adjusting for child sex and age, the difference was minimally changed (20.36; 95% CI 21.23, 0.51; (P=0.41). The predominantly parents and young children nutrition education programme was not effective on adiposity.
Gatto et al., 2017, USA [82]. RCT;
elementary schools.
319 Hispanic children in 3rd, 4th and 5th grade in schools that offer after school programme. 12-week programme (LA Sprout).
Weekly:
i). 45-minute interactive cooking/nutrition lesson and a
ii). 45-minute gardening lesson.
iii). Parallel classes were offered to parents’ bimonthly.
The intervention was based on Self efficiency theory
Did not receive any nutrition, cooking, or gardening information from investigators Intervention group had significantly greater reductions in BMI z-score than controls [−0.1(9.9%) versus −0.04 (3.8%), respectively; (p=0.01).

Intervention group had a 1.2 cm (1.7%) reduction in WC, while controls had a 0.1 cm (0.1%) increase after the intervention (p<0.001)
Fewer Metabolic syndrome (n=1) after the intervention than before (n=7), while the number of controls with the metabolic syndrome remained essentially the same between pre- (n=3) and post- intervention (n=4).
A predominantly school-based nutrition programme reduced both BMI and metabolic risks in the short term, however it not clear if this can be sustained.
Fiechtner et al., 2021, USA [83]. RCT;
clinic and community settings.
4044 Hispanic, low-income children aged 6 to 12 years with BMI > 85th percentile for age and sex according to CDC growth charts. Female were 48% Two intervention groups:
Intervention I: Healthy Weight Clinic (HWC).
30 hours multidisciplinary team nutrition and PA education to parents/guardians and child, alternating group, and individual sessions
Intervention II: YMCA Modified Healthy Weight and Your Child (YMCA M-HWYC).
A total of 25 education sessions were offered to the parent/guardians and child over 1year. each session was 2 hours long.

Both groups were exposed to primary care provider weight management training and text messages to parents/guardians for self- guided behaviour-change support.
Eight demographically matched, comparison community health centres were chosen as control sites. The mean difference in % of children in the 95th percentile BMI between the M-HWYC and the HWC was 0.75 (90% CI: 0.07 to 1.43), which did not support noninferiority. Compared with the control sites, children in the HWC had a -0.23 (95% CI: -0.36 to -0.10) decrease in BMI (Kg/m2) per year and a -1.03 (95% CI -1.61 to -0.45) decrease in % of children in 95th percentile BMI. There was no significant effect on BMI in the M-HWYC. There was no difference in offering an education (nutrition and PA) programme in a multidisciplinary clinical setting and community YMCA setting in a large sample of low-income high-risk children. Both approaches reduced the percentage of children in the 95th percentile BMI.
Eichner et al., 2016, USA [84]. Quasi-experimental with pre- and post-test analyses;
school setting.
353 predominantly America Indian children in sixth, seventh, and eighth grade aged 12 to 15 years. Female were 50% A 5-year programme, Middle School Opportunity for Vigorous Exercise (MOVE):

i). PA: walked or ran 1 mile each school day and then engaged in a team activity such as basketball, soccer, foot- ball, dodge ball, or volleyball.
None participants in the MOVE programme.

Mean BMI z scores remained the same among girls participating in MOVE (from 0.7 to 0.7) and increased for nonparticipating girls (from 1.1 to 1.2). Mean BMI z score decreased among boys participating in MOVE (from 0.8 to 0.7) and increased among nonparticipating boys (from 1.1 to 1.2).
Overall, MOVE participants had significantly smaller BMI z score than non-participants (P=0.01)
The 5-year PA was shown to prevent increase BMI, but as most of the children were not in the high-risk category, it did not reduce BMI z scores.
Dos Santos et al., 2020, USA [85]. Quasi-experimental with pre- and post-test analyses;
school setting.
46 predominantly Hispanic parent-child dyads, children aged from 10 to 16 years old, with a BMI ≥85th percentile CDC chart for age and sex. 45% female. An eight-week programme comprised of:
i) Joint education of parent and child on nutrition, PA and lifestyle issues.
ii). PA classes: Adoles cents engaged in moderate to vigorous PA (e.g. lap runs).
None Mean BMI (kg/m2): Pre-intervention = 29.95 (SD = 5.82); post-intervention = 29.44, (SD = 5.78; p = 0.012)

Participants' waist- hip-ratio from pre-intervention (mean = 1.00, SD = 0.06) to post intervention (mean = 0.99, SD = 0.06; p <0.001).
Education and moderate PA had a small effect in reducing adiposity, however the sample size was small and had short duration of intervention. Long term sustainability is uncertain.
De Heer et al., 2011, USA [48].
RCT;
school setting.
901 Hispanic students in third, fourth, and fifth grades, mean age 9.2 with 45% female. 12 weeks After-school programme ran twice weekly, based on Social cognitive theory.
i). Education: 20-to-30-minute health education component
ii). PA: followed by 45 to 60 minutes of PA.

Control and spill over groups received fourth-grade health workbooks and incentives at pre-test and follow-up measurements, but they did not attend the after-school sessions BMI percentile reduction: Intervention group = 2.8% (P = 0.015); Spill over group = 2.0% (P = 0.085) and Control group = 1.4% (P = 0.249).
This education and PA programme were shown to reduce BMI; however, a comparative analysis was not done, therefore it is unclear to what extend it is effective.
Davis et al., 2016, USA [86]. RCT;
community and school settings.
1898 predominantly American Indian and Hispanic children, aged 3-years, enrolled in Head Start (HS) centres, with 47% female. 5 years programme based on socioecological approach. , A 6 components programme comprised of nutrition and PA education ; and increasing availability of healthier food options. Participated in measurement but not intervention No effect of the intervention on change in BMIz was observed difference in slopes = −0.006 [95% CI −0.031 to 0.020]) (p = 0.69). This large size and long duration predominantly prevention education intervention did not show effect on BMI although there some reduction in BMIz.
Davis et al., 2012, USA [87]. RCT;
schools, community centres and health clinics.
53 African American and Latino children in grades 9th through 12th, mean age 15.3 years, with BMI ≥85th percentile for age and sex according to CDC growth chart. Female were 55%. 12-month Maintenance programme (newsletter group) following a 4-month nutrition and strength training intervention:
Received a monthly newsletter in the mail that matched their 4-month intervention group assignment
Maintenance group class:
met monthly (classes lasted 90 min) and received a monthly class that was like their 4-month intervention classes
Fasting insulin and acute insulin response decreased by 26% and 16%, respectively (P < 0.001 & P = 0.046); while HDL and insulin sensitivity improved by 5% and 14% (P = 0.042 & P = 0.039) respectively. 12-month programme of newsletter followed by nutrition and resistance training improved insulin and lipid metabolic profiles, though on overweight/obesity was not assessed.
Davis et al., 2021, USA [88]. RCT;
schools.
3135 predominantly Hispanic, 3rd-5th grade students with mean age of 9.2 years. Female were 53%. 9-month programme (Sprout):
i). Garden Leadership Committee formation;
ii) a 0.25-acre outdoor teaching garden;
iii). 18 student gardening, nutrition, and cooking lessons iv). nine monthly parent lessons.

Based on social ecological-transactional model
The control schools received a delayed intervention (identical intervention as described) in the year after the post-testing for that wave. BMI change, mean (kg/m2):
I=4.12; C=3.71, p=0.006.
BMI z-score change, mean:
I=-0.04; C=-0.02, p=0.51.
BMI percentile change:
I=-0.82; C=-0.39, p=0.53.
WC change, mean (cm):
I=1.16; C=-1.53, p=0.34.
% BF change:
I=-0.34; C=-0.49, p=0.40.
SBP change, mean (mmHg):
I=-0.39; C=0.20, p=0.64.
DBP change, mean (mmHg):
I=-1.33; C=0.32, p=0.18.
The nutrition intervention did not show effectiveness in most overweight/obesity parameters or blood pressure except difference in mean BMI change.
Davis et al., 2009, USA [47]. RCT;
clinic setting.
54 overweight Hispanic children, aged 14 to 18 years (mean 15.5), BMI ≥85th percentile for age and sex according to CDC growth chart. 16-week Nutrition + Strength training (N+ST) programme:
In addition to the nutrition education class described under comparator, participants in the N+ST group also received strength training twice per week (~60 min/ session) for 16 weeks
Nutrition only group:
once per week (~90 min) for 16 weeks for a culturally tailored dietary intervention.
There were no significant intervention effects on insulin sensitivity, body composition, or most glucose/insulin indices with the exception
of glucose incremental area under the curve (IAUC) (P = 0.05), which decreased in the N and N+ST group by 18 and 6.3% compared to a 32% increase in the C group.
The short duration and small size nutrition education and PA programme had no effect on Adiposity and metabolic risk.
Davis et al., 2011, USA [89]. RCT;
school setting.
38 Hispanic females, in grades 9–12
aged 14 to 18 years, BMI ≥85th percentile for age and sex according to CDC growth chart.
16-week intervention with:
1ntervention group I, circuit training (CT): aerobic + strength training, two times/week for 60–90 min per session.

Intervention group II, CT + motivational interviews (MI) on behaviour change
Control offered abbreviated CT intervention after post-test data collection No changes in BMI, children in all conditions increased their overall mean BMI z- score over the course of the study.
WC: CT participants also decreased waist circumference (-3% vs +3%; P = 0.001).
% BF: Subcutaneous adipose tissue (10% vs 8%, P = 0.04), visceral adipose tissue (j10% vs +6%, P = 0.05).
Fasting insulin (24% vs +6%, P = 0.03), and insulin resistance (-21% vs -4%, P = 0.05).
16 weeks PA (aerobic and strength) programme was effective in reducing fat depots and improving insulin resistance in Latino youth who are overweight/obese. The additional motivational interviewing showed no additive benefit. Both interventions had no effect on overweight/obesity.
Crespo et al., 2012, USA [90]. RCT;
schools and community settings.
808 Hispanic parent–child dyads, children mean age 5.9 years with 50% female Three groups, 4 year intervention programme:
Intervention I, Family group:
Home visits (newsletters, recipe cards delivery and goal setting) and follow up phone calls.
Intervention 2, community group:
Improvement of nutrition and PA environment in school playground and community parks. Distribution of education materials.
Intervention 3, Family + Community group: Involved in both family and community intervention
Control:
Participants in the control condition were asked to maintain their regular lifestyles and to complete the yearly measurements.
No changes in any weight measures were statistically significant. Children in all conditions increased their overall mean BMI z- score over the course of the study. Despite long duration, the nutrition education and support programme at family, school and combined family and school settings was not effective in reducing BMI. However, the effect of the intervention on other metabolic was not assessed.
Chen et al., 2011, USA [91]. RCT;
web-based setting.
54 Chinese American Adolescents aged 12 to 15 (mean = 12.5) years old and were normal weight or overweight, BMI ≥85th percentile for age and sex according to CDC growth chart. 70% female An 8-week web-based programme (based on Transtheoretical Model– Stages of Change):
i). nutrition, PA, and coping
ii). Internet sessions to coach parents on parenting the skills.

Participants in the control group also logged on to the Web site using a preassigned username and password. Every week for 8 weeks, adolescents also received general health information. No reduction in BMI (Kg/m2) in both intervention (t0 =20.79, T3=20.76) and control (t0=20.25, t3=20.21)
Significantly more adolescents in the intervention group than in the control group had decreased their waist-to-hip ratio (Effect size 0.01, p =0.02).
DBP (Effect size 1.12, p =0.02).
This short duration, 8 weeks, web-based education programme was not shown to be effective reducing BMI. However, as most of the participants were of normal weight, the intervention could have played a preventive role.
Chen et al., 2019, USA [92]. RCT;
community setting.
40 Chinese American children aged 13 to 18 years of age; (3) had a BMI ≥85th percentile for age and sex according to the CDC growth Chart. 12-week intervention (based on social cognitive theory):
i) used a wearable sensor (Fit- bit Flex) for six months,
ii). reviewed eight online educational modules. for three months, and, after completing the modules received tailored, biweekly text messages for three months.

After completion of the baseline assessments, control group participants were given an Omron HJ-105 pedometer and a blank food-and-activity diary; the adolescents were asked to record and track physical activity, sedentary activity, and food intake in the diary for three months. BMI (kg/m2) difference −4.89, (p <.001), BMI z score difference = −4.72, (p <.001). With overweigh/obese Chinese American children, the online education programme was effective in reducing BMI.
Chen et al., 2010, USA [93].

RCT;
community setting.

67 Chinese American children, aged 8 to 10 years who were normal weight or overweight (BMI ≥85th percentile for age and sex according to CDC growth chart). Female were 44%
An 8-week ABC programme (Based on social cognitive theory): i). Children participated in a 45-min session of education and play based activities once each week for 8 weeks.
ii) parents participated in two sessions that lasted 2 h each session during the 8 weeks.
The parents took part in ‘Healthy Eating and Healthy Family: A Hands-on Workshop.
Follow up was 8 months.
Waiting-list control group, received intervention after the follow up period.

Significant decrease of BMI (kg/m2) in the intervention group (19.74 to 19.32) (p<0.05) but not the control group (18.65 to 18.42), (p>0.05)
No change in Waist to Hip ratio in the intervention group, 0.88 to 0.88, (P>0.05)
Significant reduction of DBP in the intervention group, 61.03 to 59.27, (P<0.05)

Surprisingly, small reduction in BMI and CVD risk among Chinese American was shown after a few sessions of child and parent education and play activities. However, the result may not be generalisable because of convenient sampling.

Caballero et al., 2003, USA [94]. RCT;
school setting, serving American Indian.
1704 American India from 3rd to 5th grade, mean age was 7.6 years. The 3-year intervention had 4 components education:
i) change in dietary intake, ii) increase in PA
iii) a classroom curriculum focused on healthy eating and lifestyle
iv) a family-involvement program.
The control group participated in measurement but not interventions Mean diff at follow up:
%BMI Mean difference at follow up: -0.2, p=0.30.
%BF mean difference = 0.2, (p=0.66)
Triceps skinfold thickness (mm) Mean difference at follow up:
0.1, p=0.84
Scapula skinfold thickness (mm) Mean difference at follow up -0.1, (p=0.85).
Despite the long duration of implementation, the predominantly education and low intensity PA programme did have effects on BMI/adiposity among American Indian children. However, there was indications that their Calorie intake improved.
Barkin et al., 2011, USA [95]. RCT;
participants were identified from primary care clinic, radio advertising, and local churches.
72 mostly Hispanic parent-child dyads, children aged 8 to 11 years with a BMI ≥ 85% for age and sex according to CDC growth chart. Female were 54% 6-month programme (Based on Transtheoretical Model):
i) Counselling by a physician trained in brief principles of motivational interviewing. ii) 45-minute group health education session.
iii) Five, monthly one-hour sessions on the topic of increasing PA for both parents and their child.
Families in this control group received standard of care counselling from physicians trained using AAP guidelines, addressing both nutrition and activity. Participants that had a higher baseline BMI were more likely to decrease their absolute BMI (Kg/m2) (β= −0.22; p< 0.0001). The counselling and education effective for children with highest obesity, but less so in normal or overweight children.
Barkin et al., 2012, USA [96]. RCT;
community setting.
75 majority Hispanic parent child dyad, child aged 2 to 6 years with 48% female. A programme:
i) weekly 90-minute skills- building sessions for parents and preschool-aged children designed to improve nutritional family habits, increase weekly PA, and sedentary activity.
A brief school readiness program was conducted as an alternative to the active intervention because there is no standard care condition for comparison. The effect of the treatment condition on post intervention absolute BMI (Kg/m2) was B = –0.59 (P=0.001) These skills building intervention programme targeting both parents and children with obesity had small but significant effect onBMI.
Arlinghaus et al., 2017, USA [97]. RCT;
school setting.
189 Hispanic adolescent students in grades 6 through 12 who were overweight or obese, BMI ≥ 85% for age and sex according to CDC growth chart. Female were 47%. 6-month programme:
Trained peer led discussion of the selected topic with their group of middle school students during PE classes. E.g., what they were going to eat for lunch that day or discuss their favourite vegetables.
Usual PE classes Significant differences were found between conditions across time (F = 4.58, P = .01). After the 6-month intervention, had a larger decrease in zBMI (F = 6.94, P = .01) than students in the control. Adding nutritional peer led education to PE classes reduced adiposity in high-risk Hispanic children.
Arlinghaus et al., 2021, USA [98]. RCT;
school setting.
491 Hispanic America middle school student enrolled in PE class. Female were 53% A 12-month programme.
i). PA component of an obesity intervention with established efficacy at reducing standardized BMI among this population.
Control was physical education (PE) class as traditionally taught in the district (TAU) Intervention decreased zBMI significantly more than control (F (1, 56) = 6.16, p < .05) PA addition to PE class reduced overweight/obesity after 12 months, however it is uncertain if this is sustainable.
Adab et al., 2018, UK [45]. RCT;
Primary schools setting.
1392 Non-White multi-ethnic population age 5 to 6 years in year 1 in primary schools. Female were 51%. A 12-month programme:
i). Encouraged healthy eating
and PA,
ii) Daily additional 30
minute school time PA opportunity,
iii). A six
week interactive skill-based programme in conjunction
with a football club.
iv). Signposting of families to local PA places.
v) School led family
workshops on healthy cooking skills.
Ongoing year 2 health related activities. In
addition, citizenship education resources,
excluding topics related to healthy eating and physical
activity were provided.
At 15 months: mean difference in BMI Z score was −0.075 (95% confidence
interval −0.183 to 0.033, P=0.18.
At 30 months: mean difference
was −0.027 (−0.137 to 0.083, P=0.63).
no statistically significant difference between groups
No significant effect of intervention on adiposity in both short and longer term. Although there was improvement in BMI, the difference was smaller the longer the duration of intervention.
Abbreviations: BF, Body Fat; BMI, Body Mas Index; BP, Blood Pressure; DBP, Diastolic Blood Pressure; CCM, Chronic Care Model; CDC, Centers for Disease Control; CI, Confidence Level; C, Control; FM, Fat Mass; FFM, Free Fat Mass; FQHC, federally qualified health centres; HDL, High Density Liproprotein; HE, Health Education; HOM-AIR, Homeostatic Model Assessment of Insulin Resistance; HWC, Healthy Weight Clinic; I, Intervention; LDL, Low density Lipprotein; MI, Motivational interviewing; MMM, multi-setting, multi-component; MOVE, Middle School Opportunity for Vigorous Exercise; NCD, None Communicable Disease; N+ST OGTT, Oral Glucose Tolerance Test; PA, Physical Actvity; PE, Physical Education; RCT, Randomised Control Trial; SBP, Systolic Blood Pressure; SD, Standard Deviation; SE, Standard Error; TC, Total Cholesterol; TV, Television; USA, United States of America; WC, waist Circumference; WFA, Weight For Age; YMCA, Young Men's Christian Association; YMCA M-HWYC, YMCA Modified Healthy Weight and Your Child.

2.3. Risk of Bias within Studies

All 53 studies were assessed for quality using the Cochrane risk of bias tool (Random sequence generation for randomisation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment and selective reporting (Table, annex 3 contains full details by study). Fourteen (14) RCTs were deemed to have been conducted in a relatively unbiased biased based on the Cochrane tool. Fifteen (15) RCTs were considered moderrately biased mostly because of lack of description of the blinding and allocation concealment processes.

2.4. Effectiveness of Interventions

There were 44 RCT/controlled studies and 9 quasi-experimental pre and post intervention studies (see table 1).

2.4.1. Quasi-experimental Pre and Post Intervention Studies

The results from the quasi-experimental studies mostly effective intervention, seven of nine studies (table 2). Eight studies measured BMI or other adiposity as the main outcome. Five studies reported significant effectiveness in reducing or maintaining BMI/zBMI/WC/%BF. Three of the studies that were shown to be effective on improving weight/obesity outcomes were conducted over a duration of more that six months and two were conducted for less than six months. In four of the studies interevntions were targeting children only, one targted children and their families. Four of the studies were implemented in schools, two in the community setting, one in health care setting and one in combined health care and community settings. Four studies included measures of cardiometabolic risk factors such as fasting glucose, blood pressure, insulin resistance, and hepatic fats. Three [50,55,99], of the four studies showed significant effects in improving cardiometabolic risk.
Table 2. Interventions with a quaisi repeated measures design.
Table 2. Interventions with a quaisi repeated measures design.
Study, year and author Intervention type, duration, intensity, and time characteristics Intervention Settings Age and characteristics of participating children Intervention benefits on obesity and comorbidity outcomes measured Recommendation for effectiveness on comorbidities
Effective interventions
Yli-Piipari et al., 2018, USA [50]. 12 weeks of supervised PA (moderate/vigorous,60 mins, twice a week) and parents/guardian nutrition education Health care, paediatric primary care setting Overweight/ obese Hispanic children, Mean age 11 years Change mean BMI (kg/m2) change: -2.2, (P=0.04) Short term supervised high intensity PA, targeting high risk adolescents is effective in reducing diabetes risk
Change mean BMI%: -2.53, (p=0.02)
Change mean BMI z score: -3.64, (p=0-002)
Change mean WC (cm): -2.57, (p=0.02)
Change mean fasting glucose: -6.43, (p<0.001)
Williford et al., 1996, USA [55]. 15 weeks supervised, PA only 5days/week for 45 mins session of PE class + conditioning programme School-based Predominantly African American children, age range 12 to 13 (7th grade) Change Sum of 7 Skin fold thickness (mm): -1.31, (P=0.09) Short term more frequent, moderate intensity PA effective in serum lipid profile regardless of BMI
Change mean HDL (mmol/L): 0.28, (P<0.05)
Change mean LDL (mmol/L): -0.32, (p<0.05).
Van der Heijden et al. 2010, USA [99]. 12 weeks, supervised PA (a twice a week 30-min aerobic exercise session at ≥70% of peak oxygen consumption (VO2peak)) Primary care. Equipped laboratory in a hospital Lean and Obese Hispanic children, median age 15 years Intrahepatic fats change: Obese -3.3, (p<0.05).
No change in the lean
Well-controlled short-term high intensity exercise intervention is effective in reducing diabetes risk only in high risk with obesity
Visceral fats change: Obese -5.1, (p<0.05).
No change in the lean
Change Fasting insulin: Obese -3.6, (p<0.01).
No change in the lean
Change HOMAIR: Obese -0.8, (P<0.01).
No change in the lean
Rieder et al., 2013, USA [66]. 6 months supervised PA (60 minutes/week moderate) and lifestyle education Community-based Mixed ethnic minority children, mean age 15 years Change mean BMI (kg/m2): -0.7/month, (P<0.001) Medium term, moderate intensity supervised PA was effective at community level in adolescents with obesity
Change mean BMI z scores: -0.003/month, (P<0.001)
Hollar et al., 2010, USA [78]. 2 years unsupervised, PA and dietary modification School-based Predominantly Hispanic children, mean age 7.8 years Mena BMI: Maintained normal BMI, (p=0.02). Longitudinal unsupervised PA with diet education was effective for maintenance of healthy BMI in minority groups
Eichner et al., 2016, USA [84]. 5 years, unsupervised, unstructured PA (Walk to school and team sport) School-based, program Indian American, age 12 - 15 years BMI z scores change (0.7 to 0.7) Very long duration, unsupervised, unstructured PA maintained BMI, in American Indian adolescents
Dos Santos et al., 2020, USA [85]. 8 weeks, supervised PA (vigorous, e.g lap run) School-based Overweight/ obese mainly Hispanic children 10-16 years BMI (kg/m2) change (-0.51, p=0.012) Short duration supervised high intensity PA reduced obesity in high-risk Hispanic adolescents
Change in waist- hip-ratio (-0.01, p<0.001)
No significant effect of intervention
Yin et al., 2012, USA [49]. 18 weeks, unsupervised, unstructured PA (free play), nutrition promotion and parent’s education Community centre and Homes Hispanic children, mean age 4.1 years sand range 3 to 5 years Change mean BMI z scores: -0.09, (P=0.09). Short term low intensity PA and nutrition education targeting was ineffective in the very young Hispanic children.
Yin et al., 2005, USA [51]. 24 weeks duration of intervention, but 129 days of after school PA (moderate intensity, 80min, per week) & Provision of healthy snack School-based (school and after school sessions) Predominantly African American children, Mean age 8.7 years Change mean BMI (kg/m2): 0.1, (P>0.05). Short term moderate intensity PA was ineffective in reducing obesity or its comorbidities within African Americans
Change % BF: -0.76, (p=0.027).
Change FM (Kg): -0.29, (p=0.17).
Change FFM (kg): 0.18,( p=0.12).
Change mean WC (cm): -0.4, (p=0.32).
Change mean SBP (mmHg): -1.8, (p=0.15).
Change mean DBP (mmHg): -1.1, (p=0.41).
Change mean TC (Mg/dl): -0.2, (p=0.94).
Change mean HDL (mg/dl): 0.7, (p=0.64).

2.4.2. Randomised Control Studies

There were 44 RCTs that used PA, nutrition and behaviour change interventions for prevention of obesity and NCD. Fourty of these studies (see table 1) included obesity measures such as BMI, BMI z scores, BMI percentiles, percentage body fat and waist circumference as primary outcome measure whereas 4 studies did not include obesity outcome measures. Of the 40 studies that examined obesity outcomes, 14, (35%) studies reported significant improvement of outcome, eight of which were implemented among children with overweight/obesity (BMI ≥ 85th Percentile for age and sex). Nine of the effective interventions targeted children only, three targeted children and parents or family and two targeted parents only. In Eight of 14 effective studies participants were more than 50% female and the setting was predominantly multi-setting and schools, six of 14 studies.
There were 15 RCTs that examined the effect of interventions on cardiometabolic outcomes. Of the 15 effective RCTs, 11 (73%) showed effectiveness in improving cardiometabolic risk. In nine studies participants were either overweight or obese and four studies had more 50% female participants. Nine of the effective RCTs had combined PA, nutrition and behaviour change intervention and six of which were implemented for more than 6 months.
Fifteen RCT were deemed suitable meta-analysis for BMI z score outcome and 16 RCTs for BMI outcomes (Figure 2 and 3). The pooled effect of the 15 studies did not show signifcant difference between intervention and comparator in change of mean BMI z score, -0.03 (95% CI -0.06, 0.01) (figure 2). Similarly, the pooled effect of meta-analysis for BMI of 17 studies did not show significant difference in mean change of BMI (kg/m2) -0,10 (95%CI -0.21, 0.00) (Figure 3). Athough not significant, the pooled result were slightly in favour of intervention. However, both results did not significantly change in sensitivity analysis duration of implementation (< 6 months vs ≥ 6 moths), type of intervention (PA vs nutrition/combined intervention) and weight status (overweight/obese vs no normal weight). Studies included in meta-analysis for BMI z score and BMI outcome did not show signifcant heterogeneity.

3. Discussion

3.1. Findings

This systematic review and meta-analysis examined data from 53 studies involving 26045 children from minority ethnic groups in western HIC, who followed a lifestyle preventative intervention for obesity and related comorbidities. The main finding of our meta-analysis is that lifestyle interventions were not significantly effective when they focused on body weight and BMI outcomes, that are commonly used as primary prevention outcomes. However, of the 53 RCTs included there were 19 studies which reported reduction in BMI, BMI z scores and body fat percentage following lifestyle interventions in minority ethnic children. Furthermore, our analysis showed that intense physical activity combined with nutritional behavioural lifestyle interventions that adopt a direct approach using a quasi pre and post design, were most effective, especially when they combined primary obesity outcomes with secondary obesity-comorbidity measures, including metabolic syndrome, insulin sensitivity, and blood pressure. Therefore, incorporating obesity-comorbidity NCD outcomes alongside BMI within lifestyle interventions should be essential for preventing obesity complications of T2D, hypertension and CVD in high-risk ethnic-minority children with overweight and obesity.
The interventions which have been effective in ameliorating obesity and related comorbidities were mostly RCTs with low attrition, conducted under controlled settings (home, school, under parental supervision) and combined both PA and nutritional components [63,74,84,85,100,101]. For example, there was 7% reduction in BMI in children from Hispanic, when a 12 weeks instructor led PA, nutrition and parental guidance were followed [102]. On the contrary, when interventions were remote, less supervised, or done as a compensation for lack PA, less or sometimes a reverse effect were found. For example, BMI was either unchanged or even increased with intervention that provided handout on recommended eating pattern (Aloha cookbook), farmers market locations, PA location/ map [103]. This suggests that when targeting ethnic minorities, it is essential to consider supervised activities such as instructor guided PA, guided nutritional behaviour change and environmental change. There is already evidence suggesting that culturally tailored and directly monitored intervention works better in minority ethnic communities [104,105]. Therefore, culturally acceptable nutrition and PA interventions, embedded within usual supervised activities are feasible and more likely to be effective in preventing overweight and obesity among children minority ethnic groups.
There are various potential explanations for the apparent weak evidence of effectiveness of lifestyle intervention among children from minority ethnic groups living in western HIC (Table 1). Firstly, most of the interventions were adapted from existing intervention to cultural and socioeconomic barriers encountered by minority ethnic communities. However, for most minority ethnic groups, tradition from the origin homeland remain a strong influence on physical activity and dietary practices while living in western HIC [106]. A culturally tailored approach is therefore required. Previous reviews that examined diet and physical activity behaviours among adult from minority ethnic groups in HIC similarly did not find concrete evidence of significant effectiveness of diet and PA for prevention of overweight and obesity among minority ethnic groups [106]. For example, a review of the effects of diet and physical activity interventions on weight, BMI, and waist circumference among South Asian migrants, including 29 studies, observed no significant differences in adiposity parameters except for a significant improvement in weight (mean difference – 1.8 kg, 95% CI – 2.5 to – 1.2 kg) [28].
The development of effective interventions may therefore require qualitative and quantitative research on knowledge, attitudes, behaviours, perceptions, and the differential effects of lifestyle interventions for different ethnicities. Evidence of effectiveness of such approach was demonstrated in a study that developed intervention in collaboration with the Pakistani community, using a social cognitive theory framework, and taking into consideration the value, behaviours and perceptions of the targeted communities [107]. Another successful approach, used in Chinese adolescents, was a culturally specific, family-based, and interactive program delivered in clinics (supervised) and online. The intervention entailed early involvement of key community stakeholders and adolescents in the design and implementation of the intervention [108]. Therefore, simply adapting interventions developed in the general population may not be effective among specific minority ethnic groups, unlike those developed in partnership, culturally appropriate and implemented with involvement of the entire family.
Variation in approaches adopted to supervise lifestyle intervention across different populations provide another possible explanation for the observed lack of effectiveness in some minority ethnic children groups (Figure 2, 3). For example, African American children did not adhere well to an unstructured moderate intensity school-based PA intervention combined with healthy snack education [51], despite that such design and setting being effective when applied elsewhere with other ethnic groups such as American Indians and Hispanic groups [84,85]. Majority of the studies did not report co-design of interventions with ethnic minorities groups, which is recommended to reduce disparities [20,23,24], thus limiting their influence on intervention approaches. There is therefore an opportunity to improve intervention targeting minority ethnic groups through their involvement in the design. The intervention that showed positive preventative effects involved family setting and a combination of practical PA and nutrition interventions with adequate follow up arrangement. Intervention type, setting, duration, frequency and follow up varied among the studies included in this review. In terms of intensity of PA, adolescent groups seem to benefit and adhere to more intense forms of vigorous PA compared with lower intensity forms of PA (Table 2).
Despite weak evidence on lifestyle benefits on adiposity and BMI outcomes shown in our meta-analysis [pooled BMI mean change = -0.09 (95% CI -0.19, 0.01), p=0.09], (Figure 2, 3), lifestyle interventions were shown to be effective in reducing cardiometabolic NCD risk factors such insulin sensitivity, metabolic syndrome, and blood pressure in children with overweight and obesity (Table 2). Over 70% of studies that examined cardiometabolic risk factor as secondary outcome in this review showed effectiveness (Table 1). Of 11 studies, that examined both BMI and metabolic risk factors as outcomes, only 5 (45%) of showed impact on overweight/obesity whereas 9 (81%) showed effectiveness on cardiometabolic risks. Most of the effective interventions were multi-component with PA as prominent part, whereas those that did no show effective were mostly counselling and telephone follow up interventions [52,72,88]. These data suggest that multicomponent lifestyle intervention may be effective in reducing metabolic risk faster than adiposity in the short-term. Similar conclusion about the impact of multi-component programmes on lipid profile was made by Ho et al., 2012 [109]. They conducted a meta-analysis on the effect of lifestyle intervention on cardiometabolic outcome in 33 studies conducted among of overweight and obese children and found significant improvements in low-density lipoprotein cholesterol (−0.30 mmol/L, 95% CI −0.45 to −0.15), triglycerides (−0.15 mmol/L, 95% CI −0.24 to −0.07), fasting insulin (−55.1 pmol/L, 95% CI −71.2 to −39.1) and blood pressure up to 1 year from baseline. Similarly, a meta-regression by El-Medany et al., 2019, showed a significant improvement of SBP, LDL, TG, and HDL (p < 0.05) with lifestyle intervention among 4 to 19 year with minimal change in BMI SDS [110]. Quasi-experimental type intervention design we presented (Table 2) have also shown an improved lipid profile, blood pressure and cardiometabolic risk when adopting multicomponent PA and nutrition interventions in children aged 11-18 years [50,52,55,111]. It is also noted that the most effective of those studies in targeting multiple conditions [52,112] were those with direct PA approach, and able to tolerate higher intensity levels. For example, in one study [62], intense forms of exercise were well tolerated with adolescents with obesity, who improved their insulin sensitivity from 0.8 to 2.2, p<0.01 following 1 year of instructor led structured and unstructured PA activities. It is likely that children with obesity comorbidity can tolerate and adhere to more intense forms of PA, especially under supervision, which is readily provided throughout their lived environment by parents, coaches, and teachers. Therefore, games, sports and group activities under supervision are recommended for this high-risk group, which is in line with recent recommendations in lifestyle prevention of multiple long-term conditions [113].
There was paucity of studies that specifically targeted children from minority ethnic groups in other western HIC countries except the USA. In this review, only one other study was conducted in another western HIC (in the UK) [45]. This indicates lack of targeted response to the obesity and NCD scourge among children from minority ethnic group from most western HIC [114], yet it is known that Obesity and NCD in children and adolescents is most prevalent among minority ethnic groups in HIC [115]. Therefore, considering that ethnic minorities have an increased risk of developing childhood obesity [116,117], it is critical that researchers develop effective interventions which can minimize disparities.

3.2. Implication for Practice and Research

We recommend that more obesity interventions studies targeting minority ethnic populations are conducted. These interventions should (1) be developed and implemented in partnership with the minority ethnic communities; (2) be underpinned by appropriate and sound behaviour change techniques and theories; and (3) implemented with involvement of the entire family. We also recommend that obesity-comorbidity NCD risks such as diabetes, hypertension and CVD should be set as outcomes in addition to BMI and other adiposity measures in lifestyle interventions studies within high-risk children with obesity.
These recommendations would enable reviewers to assess how behaviour change techniques and theories moderate effectiveness, to assess the equity impacts of interventions, and to examine explanations for heterogeneity between interventions. More research into the differential effects of lifestyle interventions for specific ethnic minority groups compared with other ethnicities is also required.

3.3. Limitations

This review captured and analysed an extensive number of intervention studies, which included systematic analysis of many RCTs, of which the meta-analysis was conducted. While the studies included addressed interventions within minority ethnicities within Western HICs, emerging socioeconomic disparities within LMICs may also require further research attention. While we attempted to highlight some of those emerging disparities elsewhere [21,118], further research is still needed on whether and how lifestyle interventions can be effective in reducing obesity comorbidity and reducing health inequality.

4. Conclusions

Lifestyle interventions are essential for the prevention and management of overweight, obesity and associated comorbidities amongst children. Currently designed interventions focused on reducing adiposity are not significantly effectiveness in children from minority ethnic groups in western HIC. Effective interventions in high-risk ethnic minority groups require jointly targeting obesity and its comorbidity outcomes, diabetes, hypertension and cardiovascular disease, and actively engaging minority ethnic populations in the design and implementation.
Authors contribution: Concept AA and GO, data collection GO, data screening and analysis AA and GO, manuscript writing and reviewing GO and AA, critical editing AA. All authors approved the final version before submitting.

Funding

This research received no external funding.

Data Availability Statement

Data are available from the author on request.

Conflicts of Interest

The author declares no conflict of interest.

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Figure 2. Forest plot of change in mean BMI z scores following lifestyle interventions in children from minority ethnic groups.
Figure 2. Forest plot of change in mean BMI z scores following lifestyle interventions in children from minority ethnic groups.
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Figure 3. Forest plot of mean change in BMI following lifestyle interventions in children from minority ethnic groups.
Figure 3. Forest plot of mean change in BMI following lifestyle interventions in children from minority ethnic groups.
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