scholarly journals Breastfeeding practices and child growth outcomes in Haiti: an analysis of data from Demographic and Health Surveys

2013 ◽  
Vol 11 (4) ◽  
pp. 737-748 ◽  
Author(s):  
Rebecca Heidkamp ◽  
Mohamed Ag Ayoya ◽  
Ismael Ngnie Teta ◽  
Rebecca J. Stoltzfus ◽  
Joseline Pierre Marhone
2013 ◽  
Vol 11 (4) ◽  
pp. 815-828 ◽  
Author(s):  
Rebecca A. Heidkamp ◽  
Mohamed Ag Ayoya ◽  
Ismael Ngnie Teta ◽  
Rebecca J. Stoltzfus ◽  
Joseline Pierre Marhone

2016 ◽  
Vol 94 (5) ◽  
pp. 331-339 ◽  
Author(s):  
Jeanne Chai ◽  
Günther Fink ◽  
Sylvia Kaaya ◽  
Goodarz Danaei ◽  
Wafaie Fawzi ◽  
...  

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Emeline Rougeaux ◽  
J. Jaime Miranda ◽  
Mary Fewtrell ◽  
Jonathan C. K. Wells

Abstract Background Peru has historically experienced high rural-to-urban migration. Despite large reductions in undernutrition, overweight is increasing. Elsewhere, internal migration has been associated with differences in children’s growth and nutritional health. We investigated how child growth and nutritional status in Peru varied over time and in association with maternal internal migration. Methods Using data from Demographic & Health Surveys from 1991 to 2017, we assessed trends in child growth (height-for-age [HAZ], weight-for-age [WAZ], weight-for-height [WHZ] z scores) and nutritional health (stunting, underweight, overweight) by maternal adult internal migration (urban [UNM] or rural non-migrant [RNM], or urban-urban [UUM], rural-urban [RUM], rural-rural [RRM], or urban-rural migrant [URM]). Using 2017 data, we ran regression analyses, adjusting for confounders, to investigate associations of maternal migration with child outcomes and the maternal and child double burden of malnutrition. We further stratified by timing of migration, child timing of birth and, for urban residents, type of area of residence. Results are given as adjusted predictive margins (mean z score or %) and associated regression p-values [p]. Results In 1991–2017, child growth improved, and undernutrition decreased, but large differences by maternal migration persisted. In 2017, within urban areas, being the child of a migrant woman was associated with lower WHZ (UUM = 0.6/RUM = 0.5 vs UNM = 0.7; p = 0.009 and p < 0.001 respectively) and overweight prevalence ((RUM 7% vs UNM = 11% [p = 0.002]). Results however varied both by child timing of birth (birth after migration meant greater overweight prevalence) and type of area of residence (better linear growth in children of migrants [vs non-migrants] in capital/large cities and towns but not small cities). In rural areas, compared to RNM, children of URM had higher HAZ (− 1.0 vs − 1.2; p < 0.001) and WAZ (− 0.3 vs − 0.4; p = 0.001) and lower stunting (14% vs 21%; [p < 0.001]). There were no differences by timing of birth in rural children, nor by time since migration across all children. The mother and child double burden of malnutrition was higher in rural than urban areas but no differences were found by maternal internal migration. Conclusions Migration creates a unique profile of child nutritional health that is not explained by maternal ethnic and early life factors, but which varies depending on the pathway of migration, the child timing of birth in relation to migration and, for urban dwellers, the size of the place of destination. Interventions to improve child nutritional health should take into consideration maternal health and migration history.


2019 ◽  
Vol 7 ◽  
pp. 100352 ◽  
Author(s):  
Matthias Rieger ◽  
Sofia Karina Trommlerová ◽  
Radu Ban ◽  
Kristen Jeffers ◽  
Matthew Hutmacher

2017 ◽  
Vol 14 (2) ◽  
Author(s):  
Laura Oakley ◽  
Lenka Benova ◽  
David Macleod ◽  
Caroline A. Lynch ◽  
Oona M. R. Campbell

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e051304
Author(s):  
Tolesa Bekele ◽  
Patrick Rawstorne ◽  
Bayzidur Rahman

ObjectiveSocioeconomic inequalities in child growth failure (CGF) remain one of the main challenges in Ethiopia. This study examined socioeconomic inequalities in CGF and determinants that contributed to these inequalities in Ethiopia.MethodsThe Ethiopia Demographic and Health Surveys 2000 and 2016 data were used in this study. A pooled unweighted sample of the two surveys yielded 21514 mother–child pairs (10873 in 2000 and 10641 in 2016). We assessed socioeconomic inequalities in CGF indicators using the concentration curve and concentration index (CI). We then decomposed the CI to identify percentage contribution of each determinant to inequalities.ResultsSocioeconomic inequalities in CGF have increased in Ethiopia between 2000 and 2016. The CI increased from −0.072 and −0.139 for stunting, −0.088 and −0.131 for underweight and −0.015 and −0.050 for wasting between 2000 and 2016, respectively. Factors that mainly contributed to inequalities in stunting included geographical region (49.43%), number of antenatal care visits (31.40%) and child age in months (22.20%) in 2000. While in 2016, inequality in stunting was contributed mainly by wealth quintile (46.16%) and geographical region (−13.70%). The main contributors to inequality in underweight were geographical regions (82.21%) and wealth quintile (27.21%) in 2000, while in 2016, wealth quintile (29.18%), handwashing (18.59%) and access to improved water facilities (−17.55%) were the main contributors. Inequality in wasting was mainly contributed to by maternal body mass index (−66.07%), wealth quintile (−45.68%), geographical region (36.88%) and paternal education (33.55%) in 2000, while in 2016, wealth quintile (52.87%) and urban areas of residence (-17.81%) were the main driving factors.ConclusionsThis study identified substantial socioeconomic inequalities in CGF, and factors that relatively contributed to the disparities. A plausible approach to tackling rising disparities may involve developing interventions on the identified predictors and prioritising actions for the most socioeconomically disadvantaged groups.


2018 ◽  
Vol 15 (1) ◽  
pp. 16-29
Author(s):  
Stella Babalola ◽  
Joshua O. Akinyemi ◽  
Clifford O. Odimegwu

Abstract Nigeria has one of the highest fertility rates in Africa. Data from 2013 Demographic and Health Surveys indicate a virtual stagnation of fertility rate since 2003. Low contraceptive use and pronatalist attitudes are among the factors contributing to the high fertility rate in Nigeria. In this manuscript, we pooled data from three most recent waves of Demographic and Health Surveys to examine trends in demand for children over time and identify the factors associated with change in demand for children. The data show that demand for children has declined since 2003 although not monotonically so. Variables that were positively associated with increased likelihood of desiring no additional children were residence in the South-West (as opposed to residence in the North-Central), exposure to family planning (FP) messages on the mass media, number of children ever born, educational level, and urban residence. In contrast, uncertainty about fertility desire was more widespread in 2008 compared to 2013 although less widespread in 2003 than in 2013. The likelihood of being undecided about fertility desire was positively associated with discrepancies in family size desires between husband and wife, parity and Islamic religious affiliation. Programs should aim to increase access to effective contraceptive methods and promote demand for contraceptives as a way of fostering a sustainable reduction in demand for children. Furthermore, strategies that address uncertainty by fostering women’s understanding of the social and health implications of large family sizes are relevant.


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