Decomposition of factors associated with housing material inequality in under-five deaths in low and middle-income countries

Abstract Background Low-and Medium-Income Countries (LMIC) continue to record a high burden of under-five deaths (U5D). There is a gap in knowledge of the factors contributing to housing materials inequalities in U5D. This study examined the contributions of the individual- and neighbourhood-level factors to housing materials inequalities in influencing U5D in LMIC. Methods We pooled data from the most recent Demographic and Health Surveys for 56 LMIC conducted between 2010 and 2018. In all, we analysed the data of 798,796 children living in 59,791 neighbourhoods. The outcome variable was U5D among live births within 0 to 59 months of birth. The main determinate variable was housing material types, categorised as unimproved housing materials (UHM) and improved housing materials (IHM) while the individual-level and neighbourhood-level factors are the independent variables. Data were analysed using the Fairlie decomposition analysis at α = 0.05. Results The overall U5D rate was 53 per 1000 children, 61 among children from houses built with UHM, and 41 among children from houses built with IHM (p < 0.001). This rate was higher among children from houses that were built with UHM in all countries except Malawi, Zambia, Lesotho, Gambia, Liberia, Sierra Leone, Indonesia, Maldives, Jordan, and Albania. None of these countries had significant pro-IHM inequality. The factors explaining housing inequalities in U5D include household wealth status, residence location, source of drinking water, media access, paternal employment, birth interval, and toilet type. Conclusions There are variations in individual- and neighbourhood-level factors driving housing materials inequalities as it influences U5D in LMIC. Interventions focusing on reducing the burden of U5D in households built with UHM are urgently needed.

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Decomposition of Factors Associated With Housing Material Inequality in Under-Five Deaths in Low and Middle-Income Countries

10.21203/rs.3.rs-152523/v1 ◽

2021 ◽

Author(s):

Oyewale Mayowa Morakinyo ◽

Adeniyi Francis Fagbamigbe ◽

Ayo Stephen Adebowale

Keyword(s):

Decomposition Analysis ◽

Household Wealth ◽

Outcome Variable ◽

Demographic And Health Surveys ◽

Wealth Status ◽

Middle Income ◽

Under Five ◽

Neighbourhood Level ◽

Housing Materials ◽

The Individual

Abstract Background: Low-and Medium-Income Countries (LMIC) continue to record high burden of under-five deaths (U5D). There is a gap in knowledge of the factors contributing to housing materials inequalities in U5D. This study examined the contributions of the individual- and neighbourhood-level factors to housing materials inequalities in influencing U5D in LMIC.Methods: We pooled data from the most recent Demographic and Health Surveys for 56 LMIC conducted between 2010 and 2018. In all, we analysed the data of 798,796 children living in 59,791 neighbourhoods. The outcome variable was U5D among live births within 0 to 59 months of birth. The main determinate variable was housing material types, categorised as unimproved housing materials (UHM) and improved housing materials (IHM) while the individual-level and neighbourhood-level factors are the independent variables. Data were analysed using Fairlie decomposition analysis at α=0.05. Results: The overall U5D rate was 53 per 1000 children, 61 among children from houses built with UHM, and 41 among children from houses built with IHM (p<0.001). This rate was higher among children from houses that were built with UHM in all countries except in Malawi, Zambia, Lesotho, Gambia, Liberia, Sierra Leone, Indonesia, Maldives, Jordan, and Albania. None of these countries had significant pro-IHM inequality. The factors explaining housing inequalities in U5D include household wealth status, residence location, source of drinking water, media access, paternal employment, birth interval, and toilet type.Conclusions: There are variations in individual- and neighbourhood-level factors driving housing materials inequalities as it influences U5D in LMIC. Interventions focusing on reducing the burden of U5D in households built with UHM are urgently needed.

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Mind the gap: what explains the rural-nonrural inequality in diarrhoea among under-five children in low and medium-income countries? A decomposition analysis

BMC Public Health ◽

10.1186/s12889-021-10615-0 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

A. F. Fagbamigbe ◽

F. F. Oyinlola ◽

O. M. Morakinyo ◽

A. S. Adebowale ◽

O. S. Fagbamigbe ◽

...

Keyword(s):

Rural Areas ◽

Decomposition Analysis ◽

Household Wealth ◽

Outcome Variable ◽

Rural Children ◽

Recent Experience ◽

Individual Level ◽

Under Five ◽

Under Five Children ◽

Neighbourhood Level

Abstract Background Diarrhoea poses serious health problems among under-five children (U5C) in Low-and Medium-Income Countries (LMIC) with a higher prevalence in rural areas. A gap exists in knowledge on factors driving rural-non-rural inequalities in diarrhoea development among U5C in LMIC. This study investigates the magnitude of rural-non-rural inequalities in diarrhoea and the roles of individual-level and neighbourhood-level factors in explaining these inequalities. Methods Data of 796,150 U5C, from 63,378 neighbourhoods across 57 LMIC from the most recent Demographic and Health Survey (2010–2018) was analysed. The outcome variable was the recent experience of diarrhoea while independent variables consist of the individual- and neighbourhood-level factors. Data were analysed using multivariable Fairlie decomposition at p < 0.05 in Stata Version 16 while visualization was implemented in R Statistical Package. Results Two-thirds (68.0%) of the children are from rural areas. The overall prevalence of diarrhoea was 14.2, 14.6% vs 13.4% among rural and non-rural children respectively (p < 0.001). From the analysis, the following 20 countries showed a statistically significant pro-rural inequalities with higher odds of diarrhoea in rural areas than in nonrural areas at 5% alpha level: Albania (OR = 1.769; p = 0.001), Benin (OR = 1.209; p = 0.002), Burundi (OR = 1.399; p < 0.001), Cambodia (OR = 1.201; p < 0.031), Cameroon (OR = 1.377; p < 0.001), Comoros (OR = 1.266; p = 0.029), Egypt (OR = 1.331; p < 0.001), Honduras (OR = 1.127; p = 0.027), India (OR = 1.059; p < 0.001), Indonesia (OR = 1.219; p < 0.001), Liberia (OR = 1.158; p = 0.017), Mali (OR = 1.240; p = 0.001), Myanmar (OR = 1.422; p = 0.004), Namibia (OR = 1.451; p < 0.001), Nigeria (OR = 1.492; p < 0.001), Rwanda (OR = 1.261; p = 0.010), South Africa (OR = 1.420; p = 0.002), Togo (OR = 1.729; p < 0.001), Uganda (OR = 1.214; p < 0.001), and Yemen (OR = 1.249; p < 0.001); and pro-non-rural inequalities in 9 countries. Variations exist in factors associated with pro-rural inequalities across the 20 countries. Overall main contributors to pro-rural inequality were neighbourhood socioeconomic status, household wealth status, media access, toilet types, maternal age and education. Conclusions The gaps in the odds of diarrhoea among rural children than nonrural children were explained by individual-level and neighbourhood-level factors. Sustainable intervention measures that are tailored to country-specific needs could offer a better approach to closing rural-non-rural gaps in having diarrhoea among U5C in LMIC.

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Trends and Predictors of underweight among under-five children in Ethiopia, based on Ethiopian Demographic and Health Survey 2005 -2016. Multivariable Decomposition analysis

10.21203/rs.3.rs-16466/v1 ◽

2020 ◽

Author(s):

Tilahun Yemanu Birhan ◽

Dessie Abebaw Angaw

Keyword(s):

Parental Education ◽

Research Question ◽

Decomposition Analysis ◽

Wealth Index ◽

Household Wealth ◽

Demographic And Health Surveys ◽

Data Set ◽

Under Five ◽

Under Five Children ◽

Duration Of Breastfeeding

Abstract Background Underweight is one of the paramount major worldwide health problems, and it touches a large number of population from infancy to old age. This study aimed to analyze the trends and predictors of change in underweight among under-five children in Ethiopia Method The data for this study were accessed from three Ethiopian Demographic and Health Surveys data set 2005, 2011 and 2016. The trend was examined separately for the periods 2005–2011, 2005-2016, and 2011-2016. Multivariate decomposition analysis of change in underweight was employed to answer the major research question of this study. The technique employed the output from the logistic regression model to parcel out the observed difference in underweight into components, and STATA 14 was utilized for data management and analysis. Result Among children in Ethiopia the prevalence of underweight declined from 38% in 2005 to 25% in 2016. The decomposition analysis indicated that almost half of the overall change in underweight was due to difference in characteristics. Change in the composition of parental education, wealth index, duration of breastfeeding, respondents’ occupation, was the major contributor for the decline of underweight, while the age of child and presence of diarrhea were contributors for the rise of underweight in Ethiopia. Conclusion underweight shows a remarkable decline over the last decades in Ethiopia. Change in composition of Birth size, duration of breastfeeding, household wealth quantile (richer) and husband/partner primary education are attributable to the decline of underweight.

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Burden of Acute Respiratory Infections Among Under-Five Children in Relation to Household Wealth and Socioeconomic Status in Bangladesh

Tropical Medicine and Infectious Disease ◽

10.3390/tropicalmed4010036 ◽

2019 ◽

Vol 4 (1) ◽

pp. 36 ◽

Cited By ~ 2

Author(s):

Sanni Yaya ◽

Ghose Bishwajit

Keyword(s):

Socioeconomic Status ◽

Respiratory Infections ◽

Household Wealth ◽

Outcome Variable ◽

Demographic And Health Surveys ◽

Special Focus ◽

Acute Respiratory Infections ◽

Water And Sanitation ◽

Under Five ◽

Under Five Children

Acute respiratory infections (ARIs), as a group of diseases and symptoms, are a leading cause of morbidity and mortality among under-five children in tropical countries like Bangladesh. Currently, no clear evidence has been published on the prevalence and socioeconomic correlates of ARIs in Bangladesh. In this regard, we carried out this study with the aim of assessing the prevalence and the socioeconomic predictors of ARIs among children aged 0–59 months, with a special focus on socioeconomic status and wealth-related indicators. Cross-sectional data on 32,998 mother-child (singleton) pairs were collected from six rounds of Bangladesh Demographic and Health Surveys (BDHS 1997–2014). The outcome variable were presence of the common symptoms of ARIs, fever and dyspnea, during the previous two weeks, which were measured based on mothers’ reports about the symptoms of these conditions. Explanatory variables included maternal demographic and socioeconomic factors such as age, education, occupation, wealth quintile, and child’s age and sex. The prevalence and predictors of ARIs were measured using descriptive and multivariate regression methods. The prevalence of both fever (31.00% in 1997 vs. 36.76% in 2014) and dyspnea (39.27% in 1997 vs. 43.27% in 2014) has increased gradually since 1997, and tended to be higher in households in the lower wealth quintiles. Multivariable analysis revealed that higher maternal educational status, access to improved water and sanitation facilities, and living in households in higher wealth quintiles had protective effects against both fever and dyspnea. Findings suggested a significantly negative association between lacking access to improved water and sanitation and use of biomass fuel with ARI symptoms. However, no sex difference was observed in these associations. Based on the findings, childhood ARI prevention strategies should address the risk factors stemming from parental socioeconomic marginalisation, household water and sanitation poverty, and use of unclean fuel.

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Exploring the socio-economic determinants of educational inequalities in diarrhoea among under-five children in low- and middle-income countries: a Fairlie decomposition analysis

Archives of Public Health ◽

10.1186/s13690-021-00639-8 ◽

2021 ◽

Vol 79 (1) ◽

Author(s):

Adeniyi Francis Fagbamigbe ◽

Olukemi Grace Adebola ◽

Natisha Dukhi ◽

Omon Stellamaris Fagbamigbe ◽

Olalekan A. Uthman

Keyword(s):

Risk Factors ◽

Household Wealth ◽

Risk Difference ◽

Demographic And Health Surveys ◽

Educational Inequalities ◽

Middle Income ◽

Under Five ◽

Under Five Children ◽

Middle Income Countries ◽

Low And Middle Income

Abstract Background What explains the underlying causes of educational inequalities in diarrhoea among under-five children in low- and middle-income countries (LMIC) is poorly exploited, operationalized, studied and understood. This paper aims to assess the magnitude of educational-related inequalities in the development of diarrhoea and decompose risk factors that contribute to these inequalities among under-five children (U5C) in LMIC. Methods Secondary data of 796,150 U5C from 63,378 neighbourhoods in 57 LMIC was pooled from the Demographic and Health Surveys (DHS) conducted between 2010 and 2019. The main determinate variable in this decomposition study was mothers’ literacy levels. Descriptive and inferential statistics comprising of bivariable analysis and binary logistic multivariable Fairlie decomposition techniques were employed at p = 0.05. Results Of the 57 countries, we found a statistically significant pro-illiterate odds ratio in 6 countries, 14 showed pro-literate inequality while the remaining 37 countries had no statistically significant educational-related inequality. The countries with pro-illiterate inequalities are Burundi (OR = 1.11; 95% CI: 1.01–1.21), Cameroon (OR = 1.84; 95% CI: 1.66–2.05), Egypt (OR = 1.26; 95% CI: 1.12–1.43), Ghana (OR = 1.24; 95% CI: 1.06–1.47), Nigeria (OR = 1.80; 95% CI: 1.68–1.93), and Togo (OR = 1.21; 95% CI: 1.06–1.38). Although there are variations in factors that contribute to pro-illiterate inequality across the 6 countries, the overall largest contributors to the inequality are household wealth status, maternal age, neighbourhood SES, birth order, toilet type, birth interval and place of residence. The widest pro-illiterate risk difference (RD) was in Cameroon (118.44/1000) while the pro-literate risk difference was widest in Albania (− 61.90/1000). Conclusions The study identified educational inequalities in the prevalence of diarrhoea in children with wide variations in magnitude and contributions of the risk factors to pro-illiterate inequalities. This suggests that diarrhoea prevention strategies is a must in the pro-illiterate inequality countries and should be extended to educated mothers as well, especially in the pro-educated countries. There is a need for further studies to examine the contributions of structural and compositional factors associated with pro-educated inequalities in the prevalence of diarrhoea among U5C in LMIC.

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Decomposing the rural–urban gap in factors associated with childhood immunisation in sub-Saharan Africa: evidence from surveys in 23 countries

BMJ Global Health ◽

10.1136/bmjgh-2020-003773 ◽

2021 ◽

Vol 6 (1) ◽

pp. e003773

Author(s):

Edward Kwabena Ameyaw ◽

Yusuf Olushola Kareem ◽

Bright Opoku Ahinkorah ◽

Abdul-Aziz Seidu ◽

Sanni Yaya

Keyword(s):

Decomposition Analysis ◽

Household Wealth ◽

Sub Saharan Africa ◽

Demographic And Health Surveys ◽

Childhood Immunisation ◽

Urban Settings ◽

Factors Associated ◽

Rural And Urban ◽

Full Immunisation ◽

Sub Saharan

BackgroundAbout 31 million children in sub-Saharan Africa (SSA) suffer from immunisation preventable diseases yearly and more than half a million children die because of lack of access to immunisation. Immunisation coverage has stagnated at 72% in SSA over the past 6 years. Due to evidence that full immunisation of children may be determined by place of residence, this study aimed at investigating the rural–urban differential in full childhood immunisation in SSA.MethodsThe data used for this study consisted of 26 241 children pooled from 23 Demographic and Health Surveys conducted between 2010 and 2018 in SSA. We performed a Poisson regression analysis with robust Standard Errors (SEs) to determine the factors associated with full immunisation status for rural and urban children. Likewise, a multivariate decomposition analysis for non-linear response model was used to examine the contribution of the covariates to the observed rural and urban differential in full childhood immunisation. All analyses were performed using Stata software V.15.0 and associations with a p<0.05 were considered statistically significant.ResultsMore than half of children in urban settings were fully immunised (52.8%) while 59.3% of rural residents were not fully immunised. In all, 76.5% of rural–urban variation in full immunisation was attributable to differences in child and maternal characteristics. Household wealth was an important component contributing to the rural–urban gap. Specifically, richest wealth status substantially accounted for immunisation disparity (35.7%). First and sixth birth orders contributed 7.3% and 14.9%, respectively, towards the disparity while 7.9% of the disparity was attributable to distance to health facility.ConclusionThis study has emphasised the rural–urban disparity in childhood immunisation, with children in the urban settings more likely to complete immunisation. Subregional, national and community-level interventions to obviate this disparity should target children in rural settings, those from poor households and women who have difficulties in accessing healthcare facilities due to distance.

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Less than one-fifth of the mothers practised exclusive breastfeeding in the emerging regions of Ethiopia: a multilevel analysis of the 2016 Ethiopian demographic and health survey

BMC Public Health ◽

10.1186/s12889-020-10071-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Tsegaye Gebremedhin ◽

Demiss Mulatu Geberu ◽

Asmamaw Atnafu

Keyword(s):

Health Survey ◽

Exclusive Breastfeeding ◽

Household Wealth ◽

Community Level ◽

Wealth Status ◽

Individual Level ◽

Factors Associated ◽

Breastfeeding Practices ◽

The Individual ◽

Low Coverage

Abstract Background The burden of low coverage of exclusive breastfeeding (EBF) has a significant impact on the health of a newborn and also on the family and social economy in the long term. Even though the prevalence of EBF practices in Ethiopia is low, the practices in the pastoral communities, in particular, are significantly low and affected by individual and community-level factors. Besides, its adverse outcomes are mostly unrecognised. Therefore, this study aimed to assess the individual and community-level factors of low coverage of EBF practices in the emerging regions of Ethiopia. Methods In this analysis, data from 2016 Ethiopian Demographic and Health Survey (EDHS) were used. A two-stage stratified sampling technique was used to identify 1406 children aged 0 to 23 months in the emerging regions of Ethiopia. A multilevel mixed-effect binary logistic regression analysis was used to determine the individual and community level factors associated with exclusive breastfeeding practices. In the final model, variables with a p-value of < 0.05 and Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) were found to be statistically significant factors that affect exclusive breastfeeding practices. Results Overall, 17.6% (95% CI: 15.6–19.6) of the children aged 0 to 23 months have received exclusive breastfeeding. Employed mothers (AOR: 0.33, 95% CI: 0.21–0.53), richer household wealth status (AOR: 0.39, 95% CI: 0.16–0.96), mothers undecided to have more children (AOR: 2.29, 95% CI: 1.21–4.29), a child with a history of diarrhoea (AOR: 0.31, 95% CI: 0.16–0.61) were the individual-level factors, whereas Benishangul region (AOR: 2.63, 95% CI: 1.44–4.82) was the community-level factors associated with the exclusive breastfeeding practices. Conclusions Less than one-fifth of the mothers have practised exclusive breastfeeding in the emerging regions of Ethiopia. The individual-level factors such as mother’s employment status, household wealth status, desire for more children, presence of diarrhoea and community-level factors such as region have contributed to the low coverage of exclusive breastfeeding. Therefore, the federal and regional health bureaus and other implementers should emphasise to those emerging regions by creating awareness and strengthening the existing community-based health extension program to enhance exclusive breastfeeding practices.

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Maternal Correlates of Poliomyelitis Vaccination Uptake: Evidence from Afghanistan, Pakistan, and Nigeria

American Journal of Tropical Medicine and Hygiene ◽

10.4269/ajtmh.21-0327 ◽

2021 ◽

Author(s):

Muhammad Muzammil ◽

Sameen Zafar ◽

Shazia Aziz ◽

Muhammad Usman Bhutta ◽

Rafi Amir-Ud-Din

Keyword(s):

Multinomial Logistic Regression ◽

Viral Disease ◽

Household Wealth ◽

Demographic And Health Surveys ◽

Wealth Status ◽

Vaccination Uptake ◽

Agriculture Sector ◽

Polio Vaccination ◽

Working Status ◽

The Impact

Poliomyelitis (polio) is a communicable viral disease that mainly affects under-5 children. This study focuses on the impact of women’s empowerment and women’s working status on the uptake of polio vaccination of children in polio-endemic countries, including Pakistan and Afghanistan, and Nigeria, the latter of which has recently been declared polio-free. The polio vaccination status can be divided into no vaccination (NV), incomplete vaccination (IV), and complete vaccination. We used data from the most recent Demographic and Health Surveys (DHS) rounds for this manuscript. Multinomial logistic regression-based estimates suggest that mothers’ working status, empowerment, age, education, father’s education, and household wealth status reduce the risk of NV and IV in the polio-endemic countries (Afghanistan and Pakistan) and Nigeria. In addition, the mothers’ working status, empowerment, age, education, and father’s education increase the child’s healthcare information that helps complete polio vaccination of the child. On the other hand, the children whose mothers work in the agriculture sector or are engaged in a blue-collar job are more likely to remain unvaccinated than women in white-collar jobs. Similarly, mothers engaged in government jobs are more likely to get their children fully vaccinated than unemployed mothers. Thus, as a child’s polio vaccination is strongly dependent on a mother’s working status and empowerment, the focus of public policy on empowering women and promoting their labor force participation may increase polio vaccination uptake, besides adopting other measures to increase immunization.

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Efficacy of deep learning methods for predicting under-five mortality in 34 low-income and middle-income countries

BMJ Open ◽

10.1136/bmjopen-2019-034524 ◽

2020 ◽

Vol 10 (8) ◽

pp. e034524

Author(s):

Adeyinka Emmanuel Adegbosin ◽

Bela Stantic ◽

Jing Sun

Keyword(s):

Neural Network ◽

Deep Learning ◽

Low Income ◽

Maternal Education ◽

Household Wealth ◽

Secondary Outcome ◽

Cross Sectional ◽

Middle Income ◽

Under Five ◽

Middle Income Countries

ObjectivesTo explore the efficacy of machine learning (ML) techniques in predicting under-five mortality (U5M) in low-income and middle-income countries (LMICs) and to identify significant predictors of U5M.DesignThis is a cross-sectional, proof-of-concept study.Settings and participantsWe analysed data from the Demographic and Health Survey. The data were drawn from 34 LMICs, comprising a total of n=1 520 018 children drawn from 956 995 unique households.Primary and secondary outcome measuresThe primary outcome measure was U5M; secondary outcome was comparing the efficacy of deep learning algorithms: deep neural network (DNN); convolution neural network (CNN); hybrid CNN-DNN with logistic regression (LR) for the prediction of child’s survival.ResultsWe found that duration of breast feeding, number of antenatal visits, household wealth index, postnatal care and the level of maternal education are some of the most important predictors of U5M. We found that deep learning techniques are superior to LR for the classification of child survival: LR sensitivity=0.47, specificity=0.53; DNN sensitivity=0.69, specificity=0.83; CNN sensitivity=0.68, specificity=0.83; CNN-DNN sensitivity=0.71, specificity=0.83.ConclusionOur findings provide an understanding of determinants of U5M in LMICs. It also demonstrates that deep learning models are more efficacious than traditional analytical approach.

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Correlates of the double burden of malnutrition among women: an analysis of cross sectional survey data from sub-Saharan Africa

BMJ Open ◽

10.1136/bmjopen-2019-029545 ◽

2019 ◽

Vol 9 (7) ◽

pp. e029545 ◽

Cited By ~ 5

Author(s):

Dickson Abanimi Amugsi ◽

Zacharie Tsala Dimbuene ◽

Catherine Kyobutungi

Keyword(s):

Household Wealth ◽

Normal Weight ◽

Overweight And Obesity ◽

Sub Saharan Africa ◽

Outcome Variable ◽

Demographic And Health Surveys ◽

African Countries ◽

Double Burden ◽

Double Burden Of Malnutrition ◽

Sub Saharan

ObjectiveTo investigate the correlates of the double burden of malnutrition (DBM) among women in five sub-Saharan African countries.DesignSecondary analysis of Demographic and Health Surveys (DHS). The outcome variable was body mass index (BMI), a measure of DBM. The BMI was classified into underweight (BMI <18.50 kg/m2), normal weight (18.50–24.99 kg/m2), overweight (25.0–29.9 kg/m2) and obesity (≥30.0 kg/m2).SettingsGhana, Nigeria, Kenya, Mozambique and Democratic Republic of Congo (DRC).SubjectsWomen aged 15–49 years (n=64698).ResultsCompared with normal weight women, number of years of formal education was associated with the likelihood of being overweight and obese in Ghana, Mozambique and Nigeria, while associated with the likelihood of being underweight in Kenya and Nigeria. Older age was associated with the likelihood of being underweight, overweight and obese in all countries. Positive associations were also observed between living in better-off households and overweight and obesity, while a negative association was observed for underweight. Breastfeeding was associated with less likelihood of underweight in DRC and Nigeria, obesity in DRC and Ghana, overweight in Kenya and overweight and obesity in Mozambique and Nigeria relative to normal weight.ConclusionsOur analysis reveals that in all the countries, women who are breastfeeding are less likely to be underweight, overweight and obese. Education, age and household wealth index tend to associate with a higher likelihood of DBM among women. Interventions to address DBM should take into account the variations in the effects of these correlates.

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