Does planning of births affect childhood undernutrition? Evidence from demographic and health surveys of selected South Asian countries

Nutrition ◽  
2018 ◽  
Vol 47 ◽  
pp. 90-96 ◽  
Author(s):  
Md Juel Rana ◽  
Srinivas Goli
Author(s):  
Nidhi Wali ◽  
Kingsley E. E. Agho ◽  
Andre M. N. Renzaho

Child wasting continues to be a major public health concern in South Asia, having a prevalence above the emergency threshold. This paper aimed to identify factors associated with wasting among children aged 0–23 months, 24–59 months, and 0–59 months in South Asia. A weighted sample of 564,518 children aged 0–59 months from the most recent demographic and health surveys (2014–2018) of five countries in South Asia was combined. Multiple logistic regression analyses that adjusted for clustering and sampling weights were used to examine associated factors. Wasting prevalence was higher for children aged 0–23 months (25%) as compared to 24–59 months (18%), with variations in prevalence across the South Asian countries. The most common factor associated with child wasting was maternal BMI [adjusted odds ratio (AOR) for 0–23 months = 2.02; 95% CI: (1.52, 2.68); AOR for 24–59 months = 2.54; 95% CI: (1.83, 3.54); AOR for 0–59 months = 2.18; 95% CI: (1.72, 2.77)]. Other factors included maternal height and age, household wealth index, birth interval and order, children born at home, and access to antenatal visits. Study findings suggest need for nutrition specific and sensitive interventions focused on women, as well as adolescents and children under 2 years of age.


2021 ◽  
pp. 1-10
Author(s):  
Manish Singh ◽  
Gyan Chandra Kashyap ◽  
Madhumita Bango

Abstract Age misreporting is a common phenomenon in Demographic and Health Surveys, and there are numerous reasons for this. The trend and pattern of disparity in age heaping vary between countries. The present study assesses age heaping in the selected South Asian countries of Afghanistan, India, Nepal, Bangladesh and Pakistan using data from the most recent round of the Demographic and Health Survey. The respondent sample sizes were 203,703 for Afghanistan, 2,869,043 for India, 49,064 for Nepal, 81,618 for Bangladesh and 100,868 for Pakistan. Age heaping was assessed by respondent’s age, education level, sex and level of education. Whipple’s index was calculated to assess systematic heaping on certain ages as a result of digit preference. Bangladesh, Afghanistan and India showed stronger preference for ages ending with the digits ‘0’ and ‘5’ compared with Pakistan and Nepal among uneducated respondents. On the other hand, strong avoidance of ages ending in the digits ‘1’, ‘4’ and ‘9’ was observed in Bangladesh, Afghanistan and India. However, urban–rural place of residence was not found to be associated with digit preference in the study countries. Among males, age misreporting with the final digits ‘0’ and ‘5’ was highest in Bangladesh, followed by Afghanistan and India, and Nepal showed the least displacement. Strong digit preference and avoidance, and upper age displacement, were witnessed in the surveys conducted in Bangladesh, Afghanistan and India on the parameters of sex and education level. Innovative methods of data collection with the measurement and minimization of errors using statistical techniques should be used to ensure accuracy of age data.


BMJ Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. e032866 ◽  
Author(s):  
Fariha Binte Hossain ◽  
Md Shajedur Rahman Shawon ◽  
Md Shehab Uddin Al-Abid ◽  
Sultan Mahmood ◽  
Gourab Adhikary ◽  
...  

ObjectivesWe aimed to investigate the socioeconomic inequalities in the burden of underweight and overweight among children in South Asia. We also examined other factors that were associated with these outcomes independently of household’s socioeconomic status.DesignNationally-representative surveys.SettingsDemographic and Health Surveys from Bangladesh, India, Pakistan, Maldives and Nepal, which were conducted between 2009 and 2016.ParticipantsChildren aged 24 to 59 months with valid measurement for height and weight (n=146 996).Primary exposure and outcome measuresPrimary exposures were household’s wealth index and level of education. Underweight and overweight were defined according to the WHO and International Obesity Task Force definitions, respectively.ResultsUnderweight prevalence was 37% in Bangladesh, 38% in India, 19% in Maldives, 29% in Nepal and 28% in Pakistan. Bangladesh, India and Nepal had similar overweight prevalence (between 2% and 4%) whereas Pakistan (7%) and Maldives (9%) had higher prevalence. Households with higher wealth index or education had lower odds of having underweight children. Adjusted ORs of underweight for richest versus poorest households were 0.4 (95% CI: 0.3 to 0.5), 0.5 (95% CI: 0.5 to 0.6), 0.5 (95% CI: 0.2 to 1.4), 0.5 (95% CI: 0.3 to 0.8) and 0.7 (95% CI: 0.5 to 1.1) for Bangladesh, India, Maldives, Nepal and Pakistan, respectively. Compared with poorest households, richest households were more likely to have overweight children in all countries except Pakistan, but such associations were not significant after adjustment for other factors. There were higher odds of having overweight children in households with higher education in Bangladesh (OR 2.1 (95% CI: 1.3 to 3.5)), India (OR 1.2 (95% CI: 1.2 to 1.3)) and Pakistan (OR 1.8 (95% CI: 1.1 to 2.9)) when compared with households with no education. Maternal nutritional status was consistently associated with children’s nutritional outcomes after adjustments for socioeconomic status.ConclusionsOur study provides evidence for socioeconomic inequalities for childhood underweight and overweight in South Asian countries, although the directions of associations for underweight and overweight might be different.


2018 ◽  
Vol 21 (16) ◽  
pp. 3048-3057 ◽  
Author(s):  
Chloe M Harvey ◽  
Marie-Louise Newell ◽  
Sabu S Padmadas

AbstractObjectiveTo investigate the socio-economic differentials underlying minimum dietary diversity (MDD) among children aged 6–23 months in three economically diverse South-East Asian countries.DesignThe outcome variable MDD was defined as the proportion of children aged 6–23 months who received foods from four of the seven recommended food groups within the 24 h prior to interview. The association between socio-economic factors and MDD, adjusting for relevant characteristics, was examined using logistic regression.SettingWe used cross-sectional population data from recent Demographic and Health Surveys from Cambodia (2014), Myanmar (2015–16) and Indonesia (2012).SubjectsTotal of 8364 children aged 6–23 months.ResultsApproximately half of all children met the MDD, varying from 47·7 % in Cambodia (n1023) to 58·2 % in Indonesia (n2907) and 24·6 % in Myanmar (n301). The likelihood (adjusted OR; 95 % CI) of meeting MDD increased for children in the richest households (Cambodia: 2·4; 1·7, 3·4; Myanmar: 1·8; 1·1, 3·0; Indonesia: 2·0; 1·6, 2·5) and those residing in urban areas (Cambodia: 1·4; 1·1, 1·9; Myanmar: 1·7; 1·2, 2·4; Indonesia: 1·7; 1·5, 1·9). MDD deprivation was most severe among children from the poorest households in rural areas. The association between mother’s labour force participation and MDD was positive in all three countries but reached significance only in Indonesia (1·3; 1·1, 1·5).ConclusionsMDD deprivation among young children was significantly high in socio-economically disadvantaged families in all three study settings. MDD requirements are not being met for approximately half of young children in these three South-East Asian countries.


2019 ◽  
Author(s):  
Fariha Binte Hossain ◽  
Md Shajedur Rahman Shawon ◽  
Md Shehab Uddin Al-Abid ◽  
Sultan Mahmood Sami ◽  
Gourab Adhikary ◽  
...  

ABSTRACTBackgroundDeveloping countries are now facing double burden of undernutrition and overnutrition among children and adults. We aimed to explore the double burden of malnutrition among children aged 24-59 months by household’s socioeconomic status in South Asian context.MethodsChildren with valid information on height and weight from the latest Demographic and Health Survey from Bangladesh, India, Pakistan, Maldives, and Nepal were included in this study. Underweight and overweight were defined according to definitions of World Health Organisation and International Obesity Task Force, respectively. We used multiple logistic regressions to estimate the association of socioeconomic status with childhood underweight and overweight.ResultsSouth Asian countries had significant burden of underweight, ranging from 19% in Maldives to 38% in India. Bangladesh, India, and Nepal had prevalence of overweight between 2% and 4%, whereas Pakistan and Maldives had prevalence of 7% and 9%, respectively. Households with higher wealth index and education were consistently associated with lower odds of underweight children. When compared to poorest households, richest households had higher odds of being overweight in Bangladesh (OR 1.96, 95% CI 1.27-3.02) and India (OR 1.53, 95% CI 1.41-1.66) while lower odds of being overweight in Pakistan (OR 0.22, 95% CI 0.14-0.34). Households with higher education were more likely to have overweight children in Bangladesh and India.ConclusionsChildhood underweight is associated with lower socioeconomic conditions while there is a substantial burden of childhood overweight in higher socioeconomic groups. These disparities by socioeconomic conditions should be considered while developing national nutrition programs and strategies.KEY MESSAGESIn South Asia, there is a substantial burden of undernutrition among under-five children while a differential burden of overnutrition is also seen.Household wealth and educational attainment were inversely associated with childhood underweight.Children in households with higher levels of wealth and educational attainment were more likely to be overweight in Bangladesh and India, while evidence supporting such association was not clear for other South Asian countries.The urban-rural difference in the burden of childhood underweight and overweight can be explained by the distributions of households’ socioeconomic status.


Sign in / Sign up

Export Citation Format

Share Document