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      Factors Associated With Child Stunting, Wasting, and Underweight in 35 Low- and Middle-Income Countries

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      , ScD 1 , , ScD 2 , 3 , 4 , , , PhD 5 , , PhD 1 , 4
      JAMA Network Open
      American Medical Association

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          Key Points

          Question

          What are the most important factors associated with child undernutrition, and how do they vary across countries?

          Findings

          In this cross-sectional study of 299 353 children aged 12 to 59 months in 35 low- and middle-income countries, household socioeconomic status and parental nutritional status were the leading factors associated with child undernutrition in pooled analyses and in most country-specific analyses. Environmental conditions, health behaviors, disease prevalence, and maternal reproductive care were less frequently associated with child undernutrition, with substantial heterogeneity among countries.

          Meaning

          The findings of this study suggest that interventions to improve socioeconomic status and parental nutritional status (eg, education for women and poverty reduction) should accompany food and nutrition programs, but the potential benefits of investing in specific conditions are highly dependent on the context.

          Abstract

          This cross-sectional study assesses the relative significance of factors associated with child anthropometric failures for 35 low- and middle-income countries.

          Abstract

          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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          Most cited references30

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          Association of maternal stature with offspring mortality, underweight, and stunting in low- to middle-income countries.

          Although maternal stature has been associated with offspring mortality and health, the extent to which this association is universal across developing countries is unclear. To examine the association between maternal stature and offspring mortality, underweight, stunting, and wasting in infancy and early childhood in 54 low- to middle-income countries. Analysis of 109 Demographic and Health Surveys in 54 countries conducted between 1991 and 2008. Study population consisted of a nationally representative cross-sectional sample of children aged 0 to 59 months born to mothers aged 15 to 49 years. Sample sizes were 2,661,519 (mortality), 587,096 (underweight), 558,347 (stunting), and 568,609 (wasting) children. Likelihood of mortality, underweight, stunting, or wasting in children younger than 5 years. The mean response rate across surveys in the mortality data set was 92.8%. In adjusted models, a 1-cm increase in maternal height was associated with a decreased risk of child mortality (absolute risk difference [ARD], 0.0014; relative risk [RR], 0.988; 95% confidence interval [CI], 0.987-0.988), underweight (ARD, 0.0068; RR, 0.968; 95% CI, 0.968-0.969), stunting (ARD, 0.0126; RR, 0.968; 95% CI, 0.967-0.968), and wasting (ARD, 0.0005; RR, 0.994; 95% CI, 0.993-0.995). Absolute risk of dying among children born to the tallest mothers (> or = 160 cm) was 0.073 (95% CI, 0.072-0.074) and to those born to the shortest mothers (< 145 cm) was 0.128 (95% CI, 0.126-0.130). Country-specific decrease in the risk for child mortality associated with a 1-cm increase in maternal height varied between 0.978 and 1.011, with the decreased risk being statistically significant in 46 of 54 countries (85%) (alpha = .05). Among 54 low- to middle-income countries, maternal stature was inversely associated with offspring mortality, underweight, and stunting in infancy and childhood.
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            Risk Factors for Childhood Stunting in 137 Developing Countries: A Comparative Risk Assessment Analysis at Global, Regional, and Country Levels

            Background Stunting affects one-third of children under 5 y old in developing countries, and 14% of childhood deaths are attributable to it. A large number of risk factors for stunting have been identified in epidemiological studies. However, the relative contribution of these risk factors to stunting has not been examined across countries. We estimated the number of stunting cases among children aged 24–35 mo (i.e., at the end of the 1,000 days’ period of vulnerability) that are attributable to 18 risk factors in 137 developing countries. Methods and Findings We classified risk factors into five clusters: maternal nutrition and infection, teenage motherhood and short birth intervals, fetal growth restriction (FGR) and preterm birth, child nutrition and infection, and environmental factors. We combined published estimates and individual-level data from population-based surveys to derive risk factor prevalence in each country in 2010 and identified the most recent meta-analysis or conducted de novo reviews to derive effect sizes. We estimated the prevalence of stunting and the number of stunting cases that were attributable to each risk factor and cluster of risk factors by country and region. The leading risk worldwide was FGR, defined as being term and small for gestational age, and 10.8 million cases (95% CI 9.1 million–12.6 million) of stunting (out of 44.1 million) were attributable to it, followed by unimproved sanitation, with 7.2 million (95% CI 6.3 million–8.2 million), and diarrhea with 5.8 million (95% CI 2.4 million–9.2 million). FGR and preterm birth was the leading risk factor cluster in all regions. Environmental risks had the second largest estimated impact on stunting globally and in the South Asia, sub-Saharan Africa, and East Asia and Pacific regions, whereas child nutrition and infection was the second leading cluster of risk factors in other regions. Although extensive, our analysis is limited to risk factors for which effect sizes and country-level exposure data were available. The global nature of the study required approximations (e.g., using exposures estimated among women of reproductive age as a proxy for maternal exposures, or estimating the impact of risk factors on stunting through a mediator rather than directly on stunting). Finally, as is standard in global risk factor analyses, we used the effect size of risk factors on stunting from meta-analyses of epidemiological studies and assumed that proportional effects were fairly similar across countries. Conclusions FGR and unimproved sanitation are the leading risk factors for stunting in developing countries. Reducing the burden of stunting requires a paradigm shift from interventions focusing solely on children and infants to those that reach mothers and families and improve their living environment and nutrition.
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              Association of maternal height with child mortality, anthropometric failure, and anemia in India.

              Prior research on the determinants of child health has focused on contemporaneous risk factors such as maternal behaviors, dietary factors, and immediate environmental conditions. Research on intergenerational factors that might also predispose a child to increased health adversity remains limited. To examine the association between maternal height and child mortality, anthropometric failure, and anemia. We retrieved data from the 2005-2006 National Family Health Survey in India (released in 2008). The study population constitutes a nationally representative cross-sectional sample of singleton children aged 0 to 59 months and born after January 2000 or January 2001 (n = 50 750) to mothers aged 15 to 49 years from all 29 states of India. Information on children was obtained by a face-to-face interview with mothers, with a response rate of 94.5%. Height was measured with an adjustable measuring board calibrated in millimeters. Demographic and socioeconomic variables were considered as covariates. Modified Poisson regression models that account for multistage survey design and sampling weights were estimated. Mortality was the primary end point; underweight, stunting, wasting, and anemia were included as secondary outcomes. In adjusted models, a 1-cm increase in maternal height was associated with a decreased risk of child mortality (relative risk [RR], 0.978; 95% confidence interval [CI], 0.970-0.987; P < .001), underweight (RR, 0.971; 95% CI, 0.968-0.974; P < .001), stunting (RR, 0.971; 95% CI, 0.968-0.0973; P < .001), wasting (RR, 0.989; 95% CI, 0.984-0.994; P < .001), and anemia (RR, 0.998; 95% CI, 0.997-0.999; P = .02). Children born to mothers who were less than 145 cm in height were 1.71 times more likely to die (95% CI, 1.37-2.13) (absolute probability, 0.09; 95% CI, 0.07-0.12) compared with mothers who were at least 160 cm in height (absolute probability, 0.05; 95% CI, 0.04-0.07). Similar patterns were observed for anthropometric failure related to underweight and stunting. Paternal height was not associated with child mortality or anemia but was associated with child anthropometric failure. In a nationally representative sample of households in India, maternal height was inversely associated with child mortality and anthropometric failure.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                22 April 2020
                April 2020
                22 April 2020
                : 3
                : 4
                : e203386
                Affiliations
                [1 ]Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
                [2 ]Division of Health Policy and Management, College of Health Sciences, Korea University, Seoul, South Korea
                [3 ]Department of Public Health Sciences, Graduate School, Korea University, Seoul, South Korea
                [4 ]Harvard Center for Population and Development Studies, Cambridge, Massachusetts
                [5 ]Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Germany
                Author notes
                Article Information
                Accepted for Publication: February 25, 2020.
                Published: April 22, 2020. doi:10.1001/jamanetworkopen.2020.3386
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2020 Li Z et al. JAMA Network Open.
                Corresponding Author: Rockli Kim, ScD, Division of Health Policy and Management, College of Health Sciences, Korea University, 145 Anam-ro, Seongbuk-gu, Hana Science Building, Room 355, Seoul 02841, South Korea ( rocklikim@ 123456korea.ac.kr ).
                Author Contributions: Drs Li and Kim had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Li, Kim, Subramanian.
                Acquisition, analysis, or interpretation of data: Li, Kim, Vollmer.
                Drafting of the manuscript: Li.
                Critical revision of the manuscript for important intellectual content: All authors.
                Statistical analysis: Li.
                Administrative, technical, or material support: Li.
                Supervision: Kim, Vollmer, Subramanian.
                Conflict of Interest Disclosures: None reported.
                Additional Information: The authors acknowledge the support of the Demographic and Health Survey Program ( https://www.dhsprogram.com) for providing access to the data.
                Article
                zoi200162
                10.1001/jamanetworkopen.2020.3386
                7177203
                32320037
                8d822cab-dd92-4426-9034-6d10a895c26b
                Copyright 2020 Li Z et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 28 October 2019
                : 25 February 2020
                Categories
                Research
                Original Investigation
                Online Only
                Global Health

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