Dataset Information

Recent underweight and overweight trends by rural-urban residence among women in low- and middle-income countries.

ABSTRACT:

Background

Long-term trends mask critical recent dynamics in the prevalence of under- and overweight.

Objective

The objective of this study was to compare annualized prevalence rates of both under- and overweight among nonpregnant women aged 19-49 y during the periods covering 1) the 1990s-the early 2000s and 2) the early 2000s-the late 2000s or early 2010s, by rural-urban residence.

Methods

Data are from nationally representative surveys (29 Demographic and Health Surveys and 4 national surveys). Standardized protocols were used to measure weight and height. Underweight was defined as body mass index (BMI) < 18.5 kg/m(2) and overweight as BMI ? 25 kg/m(2).

Results

From the 1990s to the early 2000s, most countries were making progress on decreasing the prevalence of underweight, especially in rural areas. Although many countries continued to make progress more recently, several countries in Sub-Saharan Africa that previously had a decreasing prevalence of underweight now have an increasing prevalence of underweight. For example, in rural areas of Senegal, the prevalence of underweight decreased 0.23% annually between 1992 and 2005, then increased 1.60% annually between 2005 and 2010. Meanwhile, the prevalence of overweight is increasing in nearly all countries, and in approximately half of all countries, the rate of increase is greater in rural areas than in urban areas. Although underweight persists as more prevalent than overweight in rural areas of many East Asian, South Asian, and Sub-Saharan African countries, the ratio of underweight to overweight in many countries has decreased over time, indicating that this trend is reversing.

Conclusions

Select countries in Sub-Saharan Africa may be more susceptible to food crises and should be targets for intervention. At the same time, global health efforts need to focus on preventing overweight, particularly in rural areas, which are quickly catching up to their urban counterparts.

SUBMITTER: Jaacks LM

PROVIDER: S-EPMC6619682 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Recent underweight and overweight trends by rural-urban residence among women in low- and middle-income countries.

Jaacks Lindsay M LM Slining Meghan M MM Popkin Barry M BM

The Journal of nutrition 20141210 2

<h4>Background</h4>Long-term trends mask critical recent dynamics in the prevalence of under- and overweight.<h4>Objective</h4>The objective of this study was to compare annualized prevalence rates of both under- and overweight among nonpregnant women aged 19-49 y during the periods covering 1) the 1990s-the early 2000s and 2) the early 2000s-the late 2000s or early 2010s, by rural-urban residence.<h4>Methods</h4>Data are from nationally representative surveys (29 Demographic and Health Surveys ...[more]

PMID: 25644358

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Project description:ObjectiveTo analyze socioeconomic inequalities in the prevalence of underweight and overweight or obesity in women from low and middle-income countries (LMICs).MethodsUsing the last available Demographic Health Survey between 2010 and 2016 from 49 LMICs, we estimated the prevalence of underweight (BMI < 18.5 kg/m2) and overweight or obesity combined (BMI ≥ 25 kg/m2) for women aged 20-49 years. We used linear regression to explore the associations between the two outcomes and gross national income (GNI). We assess within-country socioeconomic inequalities using wealth deciles. The slope index of inequality (SII) and the inequality pattern index (IPI) were calculated for each outcome. Negative values of the latter express bottom inequality (when inequality is driven by the poorest deciles) while positive values express top inequality (driven by the richest deciles).ResultsIn total, 931,145 women were studied. The median prevalence of underweight, overweight or obesity combined, and obesity were 7.3% (range 0.2-20.5%), 31.5% (8.8-85.3%), and 10.2% (1.9-48.8%), respectively. Pearson correlation coefficients with log GNI were -0.33 (p = 0.006) for underweight, 0.72 (p < 0.001) for overweight or obesity, and 0.66 (p < 0.001) for obesity. For underweight, the SII was significantly negative in 38 of the 49 countries indicating a higher burden among poor women. There was no evidence of top or bottom inequality. Overweight or obesity increased significantly with wealth in 44 of the 49 countries. Top inequality was observed in low-prevalence countries, and bottom inequality in high-prevalence countries.ConclusionUnderweight remains a problem among the poorest women in poor countries, but overweight and obesity are the prevailing problem as national income increases. In low-prevalence countries, overweight or obesity levels are driven by the higher prevalence among the richest women; as national prevalence increases, only the poorest women are relatively preserved from the epidemic.

Project description:Although a proven and effective preventive health measure, childhood immunization programs remain vulnerable to budgetary pressures. Sustainable financing of immunization programs is an important issue that presents a challenge for middle-income countries (MIC) in particular, in part due to technological advances meaning more vaccines are available. This study aimed to analyse trends in immunization program investment across 15 MIC selected based on availability of data, income level classification, and regional representativeness. We assessed investment trends in relation to vaccine coverage, vaccine access, and broader health indicators. Immunization and expenditure data were obtained from the World Health Organisation (WHO) database and the WHO UNICEF Joint Reporting Form and WHO Vaccine Product, Price and Procurement from 2006-2016. We calculated a weighted average index of vaccine commitment (WAIVC) based on vaccine coverage, vaccine scope, and weighted by vaccine innovation measured by approximating vaccine expenditure. Correlation analyses were conducted between immunization expenditure per-capita and each WAIVC, infant mortality and life expectancy. Correlation analyses at a global and individual country level indicate an improvement in immunization access, vaccination commitment measured by WAIVC, and scope of available vaccines in countries with sustained increases in vaccination funding. Increases in national immunization expenditure were correlated with reduced infant mortality and increased life expectancy. Vaccine expenditure comprises a small proportion (less than 2%) of total healthcare spending and has not uniformly increased in accordance with the scope of available vaccines. The present analysis supports the premise that countries with consistent increases in vaccine expenditure have increased vaccine coverage and commitment measured by WAIVC and improved broader health outcomes, indicating the value of sustained investment in vaccination for improved population health. The benefits of vaccine expenditure in this holistic fashion are critical to inform policy decisions on national budget allocation for vaccine funding.

Project description:Background/objectivesPsychosocial stress has been proposed to contribute to obesity, particularly abdominal, or central obesity, through chronic activation of the neuroendocrine systems. However, these putative relationships are complex and dependent on country and cultural context. We investigated the association between psychosocial factors and general and abdominal obesity in the Prospective Urban Rural Epidemiologic study.Subjects/methodsThis observational, cross-sectional study enrolled 151 966 individuals aged 35-70 years from 628 urban and rural communities in 17 high-, middle- and low-income countries. Data were collected for 125 290 individuals regarding education, anthropometrics, hypertension/diabetes, tobacco/alcohol use, diet and psychosocial factors (self-perceived stress and depression).ResultsAfter standardization for age, sex, country income and urban/rural location, the proportion with obesity (body mass index ≥30 kg m(-)(2)) increased from 15.7% in 40 831 individuals with no stress to 20.5% in 7720 individuals with permanent stress, with corresponding proportions for ethnicity- and sex-specific central obesity of 48.6% and 53.5%, respectively (P<0.0001 for both). Associations between stress and hypertension/diabetes tended to be inverse. Estimating the total effect of permanent stress with age, sex, physical activity, education and region as confounders, no relationship between stress and obesity persisted (adjusted prevalence ratio (PR) for obesity 1.04 (95% confidence interval: 0.99-1.10)). There was no relationship between ethnicity- and sex-specific central obesity (adjusted PR 1.00 (0.97-1.02)). Stratification by region yielded inconsistent associations. Depression was weakly but independently linked to obesity (PR 1.08 (1.04-1.12)), and very marginally to abdominal obesity (PR 1.01 (1.00-1.03)).ConclusionsAlthough individuals with permanent stress tended to be slightly more obese, there was no overall independent effect and no evidence that abdominal obesity or its consequences (hypertension, diabetes) increased with higher levels of stress or depression. This study does not support a causal link between psychosocial factors and abdominal obesity.

Project description:Importance:Evidence on the relative importance of various factors associated with child anthropometric failures (ie, stunting, underweight, and wasting) and their heterogeneity across countries can inform global and national health agendas. Objective:To assess the relative significance of factors associated with child anthropometric failures in 35 low- and middle-income countries (LMICs). Design, Setting, and Participants:This cross-sectional study of 299?353 children who were born singleton and aged 12 to 59 months with nonpregnant mothers and valid anthropometric measures assessed the strengths of associations of 26 factors with child stunting, underweight, and wasting, using Demographic and Health Surveys (2007-2018) from 35 LMICs. Data analysis was conducted from July 2019 to February 2020. Exposures:A total of 9 direct factors (ie, dietary diversity score; breastfeeding initiation; vitamin A supplements; use of iodized salt; infectious disease in past 2 weeks; oral rehydration therapy for children with diarrhea; care seeking for suspected pneumonia; full vaccination; and indoor pollution) and 17 indirect factors (household wealth; maternal and paternal education; maternal and paternal height and body mass index; maternal autonomy for health care, movement, and money; water source; sanitation facility; stool disposal; antenatal care; skilled birth attendant at delivery; family planning needs; and maternal marriage age) were assessed. Main Outcomes and Measures:Three anthropometric failure outcomes were constructed based on the 2006 World Health Organization child growth standards: stunting (height-for-age z score less than -2 standard deviations [SDs]), underweight (weight-for-age z score less than -2 SDs), and wasting (weight-for-height z score less than -2 SDs). Results:Among the 299?353 children aged 12 to 59 months included in the analysis, 38.8% (95% CI, 38.6%-38.9%) had stunting, 27.5% (95% CI, 27.3%-27.6%) had underweight, and 12.9% (95% CI, 12.8%-13.0%) had wasting. In the pooled sample, short maternal height was the strongest factor associated with child stunting (odds ratio [OR], 4.7; 95% CI, 4.5-5.0; P?<?.001), followed by lack of maternal education (OR, 1.9; 95% CI, 1.8-2.0; P?<?.001), poorest household wealth (OR, 1.7; 95% CI,1.6-1.8; P?<?.001), and low maternal body mass index (OR, 1.6; 95% CI, 1.6-1.7; P?<?.001). Short paternal height was also significantly associated with higher odds of stunting (OR, 1.9; 95% CI, 1.7-2.2; P?<?.001). Consistent results were found for underweight (eg, short maternal height: OR, 3.5; 95% CI, 3.3-3.7; P?<?.001; lack of maternal education: OR, 1.8; 95% CI, 1.7-2.0; P?<?.001) and wasting (eg, low maternal body mass index: OR, 2.3; 95% CI, 2.1-2,4; P?<?.001; poorest household wealth: OR, 1.2; 95% CI, 1.1-1.3; P?<?.001). Parental nutritional status and household socioeconomic conditions ranked the strongest (1st to 4th) for most countries, with a few exceptions (eg, lack of maternal education ranked 18th-20th in 8 countries for child wasting). Other factors were not associated with anthropometric failures in pooled analysis and had large country-level heterogeneity; for example, unsafe water was not associated with child underweight in the pooled analysis (OR, 0.97; 95% CI, 0.95-1.00; P?<?.001), and it ranked from 4th to 20th across countries. Conclusions and Relevance:In this study, socioeconomic conditions and parental nutritional status were the strongest factors associated with child anthropometric failures. Poverty reduction, women's education, and nutrition programs for households could be important strategies for reducing child undernutrition; however, country-specific contexts should be considered in national policy discussions.

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Dataset Information

Recent underweight and overweight trends by rural-urban residence among women in low- and middle-income countries.

Background

Objective

Methods

Results

Conclusions

Publications

Recent underweight and overweight trends by rural-urban residence among women in low- and middle-income countries.

Similar Datasets

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