scholarly journals Maternal BMI mediates the impact of crop-related agricultural work during pregnancy on infant length in rural Pakistan: a mediation analysis of cross-sectional data

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Rebecca Pradeilles ◽  
Elizabeth Allen ◽  
Haris Gazdar ◽  
Hussain Bux Mallah ◽  
Azmat Budhani ◽  
...  
Keyword(s):  
Early Infancy ◽  
Cross Sectional ◽  
Middle Income ◽  
Negatively Associated ◽  
Agricultural Work ◽  
Middle Income Countries ◽  
Rural Pakistan ◽  
The Relationship ◽  
Maternal Bmi ◽  
Low And Middle Income

Abstract Background Stunted growth in early infancy is a public health problem in low-and-middle income countries. Evidence suggests heavy agricultural work during pregnancy is inversely associated with maternal body mass index (BMI) and infant birth weight in low- and middle-income countries; but pathways linking agricultural work to length-for-age Z-scores (LAZ) in early infancy have not been examined. This study aimed to investigate the relationship between agricultural work during pregnancy, post-natal maternal BMI and LAZ among young infants in rural Pakistan; and explored whether maternal BMI mediated the relationship between agricultural work and infant LAZ. Methods A cross-sectional survey was conducted from December 2015 to January 2016 in rural Sindh, Pakistan. Mother-infant dyads were recruited via systematic random cluster sampling at 2–12 weeks’ post-partum (n = 1161). Anthropometric measurements (maternal and infant height/length and weight) and questionnaire data were collected. Multivariable linear regression and structural-equation based mediation analyses were used to examine associations of agricultural work during pregnancy with maternal BMI and infant LAZ. Results During pregnancy, women reported engaging in livestock-related work (57.0%), crop-related work (42.7%), and cotton harvesting (28.4%). All three forms of agricultural work were negatively associated with maternal BMI (β = − 0.67 [− 1.06; − 0.28], β = − 0.97 [− 1.51; − 0.48]; and β = − 0.87 [− 1.33; − 0.45], respectively). Maternal engagement in cotton harvesting alone was negatively associated with infant LAZ after controlling for confounding factors. The total negative effect of cotton harvesting on infant LAZ was − 0.35 [− 0.53; − 0.16]. The indirect effect of maternal BMI on infant LAZ was − 0.06 [− 0.08; − 0.03], revealing that 16% (− 0.06/− 0.35) of the relationship between cotton harvesting and infant LAZ, after adjustment, was mediated via maternal BMI. Conclusion These results underscore a need to reduce labour-intensive agricultural workload demands during pregnancy, especially in cotton harvesting, to reduce risks of negative maternal energy balance and poor growth outcomes in early infancy.

scholarly journals Hierarchical disentanglement of contextual from compositional risk factors of diarrhoea among under-five children in low- and middle-income countries

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adeniyi Francis Fagbamigbe ◽  
A. Olalekan Uthman ◽  
Latifat Ibisomi
Keyword(s):  
Risk Factors ◽  
National Level ◽  
Cross Sectional ◽  
Middle Income ◽  
Contextual Risk ◽  
Under Five ◽  
Factors Associated ◽  
Under Five Children ◽  
Middle Income Countries ◽  
Low And Middle Income

AbstractSeveral studies have documented the burden and risk factors associated with diarrhoea in low and middle-income countries (LMIC). To the best of our knowledge, the contextual and compositional factors associated with diarrhoea across LMIC were poorly operationalized, explored and understood in these studies. We investigated multilevel risk factors associated with diarrhoea among under-five children in LMIC. We analysed diarrhoea-related information of 796,150 under-five children (Level 1) nested within 63,378 neighbourhoods (Level 2) from 57 LMIC (Level 3) using the latest data from cross-sectional and nationally representative Demographic Health Survey conducted between 2010 and 2018. We used multivariable hierarchical Bayesian logistic regression models for data analysis. The overall prevalence of diarrhoea was 14.4% (95% confidence interval 14.2–14.7) ranging from 3.8% in Armenia to 31.4% in Yemen. The odds of diarrhoea was highest among male children, infants, having small birth weights, households in poorer wealth quintiles, children whose mothers had only primary education, and children who had no access to media. Children from neighbourhoods with high illiteracy [adjusted odds ratio (aOR) = 1.07, 95% credible interval (CrI) 1.04–1.10] rates were more likely to have diarrhoea. At the country-level, the odds of diarrhoea nearly doubled (aOR = 1.88, 95% CrI 1.23–2.83) and tripled (aOR = 2.66, 95% CrI 1.65–3.89) among children from countries with middle and lowest human development index respectively. Diarrhoea remains a major health challenge among under-five children in most LMIC. We identified diverse individual-level, community-level and national-level factors associated with the development of diarrhoea among under-five children in these countries and disentangled the associated contextual risk factors from the compositional risk factors. Our findings underscore the need to revitalize existing policies on child and maternal health and implement interventions to prevent diarrhoea at the individual-, community- and societal-levels. The current study showed how the drive to the attainment of SDGs 1, 2, 4, 6 and 10 will enhance the attainment of SDG 3.

scholarly journals Exploring the influencing factors for non-utilisation of healthcare facilities during childbirth: a special mixed-method study of Bangladesh and 13 other low- and middle-income countries based on Demographic and Health Survey data

2019 ◽  
Vol 7 (4) ◽  
pp. e000008
Author(s):  
Tanjim Siddiquee ◽  
Henry Ratul Halder ◽  
Md Akhtarul Islam
Keyword(s):  
Birth Order ◽  
Health Survey ◽  
Mixed Method ◽  
Demographic And Health Survey ◽  
Cross Sectional ◽  
Middle Income ◽  
Healthcare Facilities ◽  
Middle Income Countries ◽  
Significant Factors ◽  
Low And Middle Income

ObjectiveTo identify the associated factors affecting the decision regarding institutional delivery for pregnant women in 14 low- and middle-income countries (LMICs).DesignA special mixed-method design was used to combine cross-sectional studies for harmonising data from Bangladesh and 13 other countries to obtain extended viewpoints on non-utilisation of institutional healthcare facilities during childbirth.SettingDemographic and Health Survey (DHS) data for 14 LMICs were used for the study.ParticipantsThere are several kinds of datasets in the DHS. Among them ‘IndividualWomen’s Records’ was used as this study is based on all ever-married women.ResultsIn the binary logistic and meta-analysis models for Bangladesh, ORs for birth order were 0.57 and 0.51 and for respondents’ age were 1.50 and 1.07, respectively. In all 14 LMICs, the most significant factors for not using institutional facilities during childbirth were respondents’ age (OR 0.903, 95% CI 0.790 to 1.032) and birth order (OR 0.371, 95% CI 0.327 to 0.421).ConclusionBirth order and respondents’ age were the two most significant factors for non-utilisation of healthcare facilities during childbirth in 14 LMICs.

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