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The weight of work: the association between maternal employment and overweight in low- and middle-income countries.

ABSTRACT: Maternal employment has increased in low-and middle-income countries (LMIC) and is a hypothesized risk factor for maternal overweight due to increased income and behavioral changes related to time allocation. However, few studies have investigated this relationship in LMIC.Using cross-sectional samples from Demographic and Health Surveys, we investigated the association between maternal employment and overweight (body mass index [BMI] ≥ 25 kg/m2) among women in 38 LMIC (N = 162,768). We categorized mothers as formally employed, informally employed, or non-employed based on 4 indicators: employment status in the last 12 months; aggregate occupation category (skilled, unskilled); type of earnings (cash only, cash and in-kind, in-kind only, unpaid); and seasonality of employment (all year, seasonal/occasional employment). Formally employed women were largely employed year-round in skilled occupations and earned a wage (e.g. professional), whereas informally employed women were often irregularly employed in unskilled occupations and in some cases, were paid in-kind (e.g. domestic work). For within-country analyses, we used adjusted logistic regression models and included an interaction term to assess heterogeneity in the association by maternal education level. We then used meta-analysis and meta-regression to explore differences in the associations pooled across countries.Compared to non-employed mothers, formally employed mothers had higher odds of overweight (pooled odds ratio [POR] = 1.3; 95% Confidence Interval [CI] 1.2, 1.4) whereas informally employed mothers, compared to non-employed mothers, had lower odds of overweight (POR = 0.72; 95% CI: 0.64, 0.81). In 14 LMIC, the association varied by education. In these countries, the magnitude of the formal employment-overweight association was larger for women with low education (POR = 1.5; 95% CI: 1.1, 1.9) compared to those with high education (POR = 1.2; 95% CI: 1.0, 1.3).Formally employed mothers in LMIC have higher odds of overweight and the association varies by educational attainment in 14 countries. This knowledge highlights the importance of workplace initiatives to reduce the risk of overweight among working women in LMIC.

SUBMITTER: Oddo VM

PROVIDER: S-EPMC6389244 | biostudies-other | 2017 Oct

REPOSITORIES: biostudies-other

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The weight of work: the association between maternal employment and overweight in low- and middle-income countries.

Oddo Vanessa M VM Bleich Sara N SN Pollack Keshia M KM Surkan Pamela J PJ Mueller Noel T NT Jones-Smith Jessica C JC

The international journal of behavioral nutrition and physical activity 20171018 1

<h4>Background</h4>Maternal employment has increased in low-and middle-income countries (LMIC) and is a hypothesized risk factor for maternal overweight due to increased income and behavioral changes related to time allocation. However, few studies have investigated this relationship in LMIC.<h4>Methods</h4>Using cross-sectional samples from Demographic and Health Surveys, we investigated the association between maternal employment and overweight (body mass index [BMI] ≥ 25 kg/m<sup>2</sup>) amo ...[more]

PMID: 29047365

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Project description:Background:Women's employment improves household income, and can increase resources available for food expenditure. However, employed women face time constraints that may influence caregiving and infant and young child feeding (IYCF) practices. As economic and social trends shift to include more women in the labor force in low- and middle-income countries (LMICs), a current understanding of the association between maternal employment and IYCF is needed. Objective:We investigated the association between maternal employment and IYCF. Design:Using cross-sectional samples from 50 Demographic and Health Surveys, we investigated the association between maternal employment and 3 indicators of IYCF: exclusive breastfeeding (EBF) among children aged <6 mo (n = 47,340) and minimum diet diversity (MDD) and minimum meal frequency (MMF) (n = 137,208) among children aged 6-23 mo. Mothers were categorized as formally employed, informally employed, or nonemployed. We used meta-analysis to pool associations across all countries and by region. Results:According to pooled estimates, neither formal [pooled odds ratio (POR) = 0.91; 95% CI: 0.81, 1.03] nor informal employment (POR = 1.05; 95% CI: 0.95, 1.16), compared to nonemployment, was associated with EBF. Children of both formally and informally employed women, compared to children of nonemployed women, had higher odds of meeting MDD (formal POR = 1.47; 95% CI: 1.35, 1.60; informal POR = 1.11; 95% CI: 1.03, 1.20) and MMF (formal POR = 1.18; 95% CI: 1.10, 1.26; informal POR = 1.15; 95% CI: 1.06, 1.24). Sensitivity analyses indicated that compared to nonemployed mothers, the odds of continued breastfeeding at 1 y were lower among formally employed mothers (POR = 0.82; 95% CI: 0.73, 0.98) and higher among informally employed mothers (POR = 1.19; 95% CI: 1.01, 1.40). Conclusion:Efforts to promote formalized employment among mothers may be an effective method for improving diet diversity and feeding frequency in LMICs. Formally employed mothers may benefit from support for breastfeeding to enable continued breastfeeding through infancy. This trial was registered at clinicaltrials.gov as NCT03209999.

Project description:BackgroundBirth weight (BW) is a strong predictor of neonatal outcomes. The purpose of this study was to compare BWs between global regions (south Asia, sub-Saharan Africa, Central America) prospectively and to determine if trends exist in BW over time using the population-based maternal and newborn registry (MNHR) of the Global Network for Women'sand Children's Health Research (Global Network).MethodsThe MNHR is a prospective observational population-based registryof six research sites participating in the Global Network (2013-2018), within five low- and middle-income countries (Kenya, Zambia, India, Pakistan, and Guatemala) in threeglobal regions (sub-Saharan Af rica, south Asia, Central America). The birth weights were obtained for all infants born during the study period. This was done either by abstracting from the infants' health facility records or from direct measurement by the registry staff for infants born at home. After controlling for demographic characteristics, mixed-effect regression models were utilized to examine regional differences in birth weights over time.ResultsThe overall BW meanswere higher for the African sites (Zambia and Kenya), 3186 g (SD 463 g) in 2013 and 3149 g (SD 449 g) in 2018, ascompared to Asian sites (Belagavi and Nagpur, India and Pakistan), 2717 g (SD450 g) in 2013 and 2713 g (SD 452 g) in 2018. The Central American site (Guatemala) had a mean BW intermediate between the African and south Asian sites, 2928 g (SD 452) in 2013, and 2874 g (SD 448) in 2018. The low birth weight (LBW) incidence was highest in the south Asian sites (India and Pakistan) and lowest in the African sites (Kenya and Zambia). The size of regional differences varied somewhat over time with slight decreases in the gap in birth weights between the African and Asian sites and slight increases in the gap between the African and Central American sites.ConclusionsOverall, BWmeans by global region did not change significantly over the 5-year study period. From 2013 to 2018, infants enrolled at the African sites demonstrated the highest BW means overall across the entire study period, particularly as compared to Asian sites. The incidence of LBW was highest in the Asian sites (India and Pakistan) compared to the African and Central American sites. Trial registration The study is registered at clinicaltrials.gov. ClinicalTrial.gov Trial Registration: NCT01073475.

Project description:Importance:Urban residence is one of the most well-established risk factors for psychotic disorder, but most evidence comes from a small group of high-income countries. Objective:To determine whether urban living is associated with greater odds for psychosis in low- and middle-income countries (LMICs). Design, Setting, and Participants:This international population-based study used cross-sectional survey data collected as part of the World Health Organization (WHO) World Health Survey from May 2, 2002, through December 31, 2004. Participants included nationally representative general population probability samples of adults (≥18 years) residing in 42 LMICs (N = 215 682). Data were analyzed from November 20 through December 5, 2017. Exposures:Urban vs nonurban residence, determined by the WHO based on national data. Main Outcomes and Measures:Psychotic experiences, assessed using the WHO Composite International Diagnostic Interview psychosis screen, and self-reported lifetime history of a diagnosis of a psychotic disorder. Results:Among the 215 682 participants (50.8% women and 49.2% men; mean [SD] age, 37.9 [15.7] years), urban residence was not associated with psychotic experiences (odds ratio [OR], 0.99; 95% CI, 0.89-1.11) or psychotic disorder (OR, 0.89; 95% CI, 0.76-1.06). Results of all pooled analyses and meta-analyses of within-country effects approached a null effect, with an overall OR of 0.97 (95% CI, 0.87-1.07), OR for low-income countries of 0.98 (95% CI, 0.82-1.15), and OR for middle-income countries of 0.96 (95% CI, 0.84-1.09) for psychotic experiences and an overall OR of 0.92 (95% CI, 0.73-1.16), OR for low-income countries of 0.92 (95% CI, 0.66-1.27), and OR for middle-income countries of 0.92 (95% CI, 0.67-1.27) for psychotic disorder. Conclusions and Relevance:Our results provide evidence that urbanicity, a well-established risk factor for psychosis, may not be associated with elevated odds for psychosis in developing countries. This finding may provide better understanding of the mechanisms by which urban living may contribute to psychosis risk in high-income countries, because urban-rural patterns of cannabis use, racial discrimination, and socioeconomic disparities may vary between developing and developed nations.

Project description:BackgroundPrevalence of stunting is frequently used as a marker of population-level child undernutrition. Parental height varies widely in low- and middle-income countries (LMIC) and is also a major determinant of stunting. While stunting is a useful measure of child health, with multiple causal components, removing the component attributable to parental height may in some cases be helpful to identify shortcoming in current environments.MethodsWe estimated maternal height-standardized prevalence of stunting (SPS) in 67 LMICs and parental height-SPS in 20 LMICs and compared with crude prevalence of stunting (CPS) using data on 575,767 children under-five from 67 Demographic and Health Surveys (DHS). We supplemented the DHS with population-level measures of other child health outcomes from the World Health Organization's (WHO) Global Health Observatory and the United Nations' Inter-Agency Group for Child Mortality Estimation. Prevalence of stunting was defined as percentage of children with height-for-age falling below -2 z-scores from the median of the 2006 WHO growth standard.ResultsThe average CPS across countries was 27.8% (95% confidence interval [CI], 27.5-28.1%) and the average SPS was 23.3% (95% CI, 23.0-23.6%). The rank of countries according to SPS differed substantially from the rank according to CPS. Guatemala, Bangladesh, and Nepal had the biggest improvement in ranking according to SPS compared to CPS, while Gambia, Mali, and Senegal had the biggest decline in ranking. Guatemala had the largest difference between CPS and SPS with a CPS of 45.2 (95% CI, 43.7-46.9%) and SPS of 14.1 (95% CI, 12.6-15.8%). Senegal had the largest increase in the prevalence after standardizing maternal height, with a CPS of 28.0% (95% CI, 25.8-30.2%) and SPS of 31.6% (95% CI, 29.5-33.8%). SPS correlated better than CPS with other population-level measures of child health.ConclusionOur study suggests that CPS is sensitive to adjustment for maternal height. Maternal height, while a strong predictor of child stunting, is not amenable to policy interventions. We showed the plausibility of SPS in capturing current exposures to undernutrition and infections in children.

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The weight of work: the association between maternal employment and overweight in low- and middle-income countries.

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The weight of work: the association between maternal employment and overweight in low- and middle-income countries.

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