Evidence map›Paper›PMID 34565370›Full record

ArticleBMC public health2021

Factors associated with duration of breastfeeding in Bangladesh: evidence from Bangladesh demographic and health survey 2014.

Ummay Ayesha, A S M A Mamun, Md Abu Sayem, Md Golam Hossain

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Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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10citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Maternal readiness for weaning: Influencing factors and determinants.Revista da Escola de Enfermagem da U S P · 2025
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ummay AyeshaHealth Research Group, Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh.
A S M A MamunHealth Research Group, Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Md Abu SayemInstitute of Biological Sciences, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Md Golam HossainHealth Research Group, Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh. hossain95@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreastfeeding for optimum duration is one of the most effective ways to reduce infant morbidity and mortality and confirms expected growth and development of children. The aim of this study was to determine the effect of socio-demographic and anthropometric determinants on duration of breastfeeding (DB) among mothers in Bangladesh.

methodsThe data was extracted from the Bangladesh Demographic and Health Survey (BDHS)-2014. A total of 3541 married non-pregnant and currently non-breastfeeding Bangladeshi mothers in reproductive age who had at least one child aged 6-36 months were included in this study. Independent sample t-test and one-way analysis of variance (ANOVA) were used to find the significance difference in DB between two and more than two groups respectively. Multiple linear regression model was utilized to determine the effect of socio-economic, demographic, anthropometric and health related variables on DB.

resultsThis study revealed that the mean and median of DB among Bangladeshi mothers were 18.91 (95% CI: 18.65-19.17) and 19.00 months respectively. Independent sample t-test and ANOVA showed that DB among Bangladeshi mothers was significantly influenced by (i) ANC visits, (ii) religion, (iii) mode of delivery, (iv) place of delivery, (v) parents' education, (vi) geographical location, (vii) mothers' occupation and (viii) household wealth quintile. Multiple regression analysis demonstrated that mothers' age, total number of children, mothers' age at first birth, ANC visits, mothers' occupation and geographical location were important predictors of DB.

conclusionsHealthcare providers and decision makers can consider these findings to make plan for counseling of mothers and family members to promote optimum DB practice in first 2 years of baby's life.

Indexed as

Breast FeedingMothersBangladeshBirth OrderChildFemaleHumansInfantSocioeconomic FactorsANOVABangladeshBDHS-2014Duration of breastfeedingMultiple linear regressionT-test

Identifiers

PMID34565370
PMCPMC8474880

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.