Associations between maternal BMI, breastfeeding practices and infant anthropometric status in Colombia; secondary analysis of ENSIN 2010.

Aldana-Parra, Fanny; Olaya, Gilma; Fewtrell, Mary

doi:10.21203/rs.2.16479/v2

Cited by 4 publications

(5 citation statements)

References 34 publications

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“…BMI explains about 17 % of the gap. Empirical studies consistently show the association between maternal BMI and child stunting (52)(53)(54)(55) . The pathway in which underweight status affects subsequent anthropometric failure of the child starts in utero.…”

Section: Discussionmentioning

confidence: 96%

What explains the large disparity in child stunting in the Philippines? A decomposition analysis

Ulep

Casas³

2021

Public Health Nutr.

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Objective: About a third of under-five Filipino children are stunted, with significant socio-economic inequality. This study aims to quantify factors that explain the large gap in stunting between poor and non-poor Filipino children. Design: Using the 2015 Philippine National Nutrition Survey (NNS), we conducted a linear probability model to examine the determinants of child stunting then an Oaxaca-Blinder decomposition to explain the factors contributing to the gap in stunting between poor and non-poor children. Setting: Philippines Participants: 1, 881 children aged 6-23 months Results: The overall stunting prevalence was 38.5% with significant gap between poor and non-poor (45.0% vs. 32.0%). Maternal height, education, and maternal nutrition status account for 26%, 18%, and 17% of stunting inequality, respectively. These are followed by quality of prenatal care (12%), dietary diversity (12%), and iron supplementation in children (5%). Conclusions: Maternal factors account for more than 50% of the gap in child stunting in the Philippines. This signifies the critical role of maternal biological and socio-economic circumstances in improving the linear growth of children.

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Section: Discussionmentioning

confidence: 96%

What explains the large disparity in child stunting in the Philippines? A decomposition analysis

Ulep

Casas³

2021

Public Health Nutr.

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“…Various factors are related to the occurrence of undernutrition in children aged under 5 years, such as the mother's education, a low birth weight, the child's gender, and the absence of breastfeeding (Aldana‐Parra et al, 2020; Choudhury et al, 2017; Mekonen et al, 2019; Murarkar et al, 2020). Among these risk factors, breastfeeding was confirmed to be an important protective factor for preventing undernutrition (Ahsan et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…However, the association between breastfeeding and undernutrition among children remains unclear with some studies supporting a significant association between breastfeeding and undernutrition (Ansuya et al, 2018; Berhe et al, 2019; Campos et al, 2020) and other studies reporting inconsistent findings (Aldana‐Parra et al, 2020; Meshram et al, 2011; Syeda et al, 2020). Among those studies, the duration of breastfeeding [i.e., less than 4 months (Ambadekar & Zodpey, 2017) or more than 6 months (Ahsan et al, 2017)], different types of undernutrition [i.e., wasting (Paré et al, 2019), stunting (Ahsan et al, 2017), or being underweight (Ansuya et al, 2018)] might explain the inconsistencies.…”

Section: Introductionmentioning

confidence: 99%

Association of breastfeeding with undernutrition among children under 5 years of age in developing countries: A systematic review and meta‐analysis

Mardani

Nhi

et al. 2022

J of Nursing Scholarship

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Objective This meta‐analysis was conducted to examine the association between breastfeeding and undernutrition among children under 5 years of age in developing countries. Study design Systematic review and meta‐analysis. Methods A comprehensive literature search was conducted of datasets from Embase, CINHAL, PubMed, Cochrane Library, and Indonesian databases to include eligible studies. Comprehensive Meta‐Analysis 3.0 statistical software was used to perform data entry and data analysis. Odds ratios (ORs) with 95% confidence intervals (CIs) were extracted from each study or were calculated based on the reported number of cases and controls in each study. Random‐effects models or fixed‐effects models were used to demonstrate overall risk estimates. A moderator analysis was conducted to examine possible moderators explaining the heterogeneity across studies. Findings In total, 33 studies were included which examined the association of breastfeeding with undernutrition. A random‐effects model showed that breastfeeding had inverse correlations with overall undernutrition (OR = 0.82, 95% CI = 0.68, 0.99) and the stunting type of undernutrition (OR = 0.73, 95% CI = 0.55, 0.95). A moderator analysis showed that studies which included exclusive breastfeeding and unclear birth weights had low risks of overall undernutrition (p < 0.05). Moreover, studies which included exclusive breastfeeding and adopted a case–control study design exhibited a low risk of the stunting type of undernutrition (p < 0.05). Conclusions Providing breastfeeding or exclusive breastfeeding can benefit children under 5 years of age in developing countries reduce overall undernutrition and the stunting type of undernutrition. Clinical relevance Healthcare professionals should develop and implement suitable strategies to increase awareness regarding the importance of breastfeeding and enhance breastfeeding and exclusive breastfeeding adherence.

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“…19 Many studies have confirmed the significance of maternal dietary status, particularly for the duration of the perinatal period, on toddler dietary status (first one thousand days of life). [20][21][22] This relationship has been investigated in studies in which BMI before pregnancy undoubtedly correlated with start weight, duration, and head circumference (β=0.274, 0.094, and 0,101, respectively; p<0.05 in all instances. 23 Additionally, maternal nutritional status can be used to predict malnutrition in toddlers at the age of 6 to 12 months.…”

Section: Articlementioning

confidence: 99%

Prevalence and predictor stunting, wasting and underweight in Timor Leste children under five years: An analysis of DHS data in 2016

Maulina

Qomaruddin

Kurniawan

et al. 2022

J. Public Health Afr.

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Stunting, wasting, and being underweight are indicators of malnutrition in a country. The high status reflects the poor nutritional and health status of children under five. We analyzed data from the Demographic and Health Survey conducted in Timor Leste from 2009 to 2016 to identify the prevalence and predictor stunting, wasting, and underweight. The variables analyzed were the mother’s education, mother’s age, mother BMI, mother’s height, number of ANC visits, birth weight, sex of a child, sex of head household, type of residence, wealth index, toilet facility, source of drinking water and province. The sample in this study was 3,723 toddlers. Prevalence of stunting (44.4%), underweight (37.5%) and wasting (25.3%). In the bivariate analysis, the variables statistically significantly associated with stunting, underweight, and wasting was mother’s education, sex of a child, type of residence, wealth index, and province. Improving the nutritional status of children in Timor Leste requires various nutrition and health interventions.

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Associations between maternal BMI, breastfeeding practices and infant anthropometric status in Colombia; secondary analysis of ENSIN 2010.

Cited by 4 publications

References 34 publications

What explains the large disparity in child stunting in the Philippines? A decomposition analysis

What explains the large disparity in child stunting in the Philippines? A decomposition analysis

Association of breastfeeding with undernutrition among children under 5 years of age in developing countries: A systematic review and meta‐analysis

Prevalence and predictor stunting, wasting and underweight in Timor Leste children under five years: An analysis of DHS data in 2016

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