Evidence map›Paper›PMID 34385233›Full record

ArticleBMJ open2021

Revisit the correlates of infant mortality in Bangladesh: findings from two nationwide cross-sectional studies.

Md Mahabubur Rahman, Tasnim Ara, Sultan Mahmud, Nandeeta Samad

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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. Article
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  5. Article
  6. Infant Mortality Trends and Determinants in Kazakhstan.Children (Basel, Switzerland) · 2023
    Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Md Mahabubur RahmanInstitute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh.
Tasnim AraInstitute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh tara@isrt.ac.bd.ORCID 0000-0003-4259-5113
Sultan MahmudInstitute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh.ORCID 0000-0003-0757-7630
Nandeeta SamadDepartment of Public Health, North South University, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe main objective of this study is to investigate how the direction and strength of the association between infant mortality and its predictors are changing over time in Bangladesh using a nationally representative sample for the period 2011-2014. DESIGN, SETTING AND

participantsData from two repeatedly cross-sectional Bangladesh Demographic and Health Surveys (BDHSs) for the years 2011 and 2014 were used. A total of 7664 (with 312 infant death) and 7048 (with 264 infant death) complete cases, respectively, from BDHS 2011 and 2014 datasets were included in the study.

methodsCox's proportional hazard model with robust standard error (SE) that adjusts for the complex survey design characteristics was implemented to assess how the risk factors associated with infant mortality change their paths.

resultsResults reflected that administrative division remained as a potential risk factor of infant death for both periods. Household's socioeconomic status, father's employment status, age difference between parents turned out to be potential risk factors in 2014, though they did not show any significant association with infant death in the year 2011. In contrast to 2011, mothers' individual-level characteristics such as age at childbirth, education, media exposure, employment status did not remain as significant risk factors for infant death in 2014. Younger fathers increased the burden of death among infants of adolescent mothers. At higher order births, the burden of infant death significantly shifted from rural to urban areas. From the year 2011 to 2014, urban areas achieved socioeconomic equity in infant survival, while the extent of inequity was increased in rural areas.

conclusionCommunity-based programmes should be designed for urban mothers who are expecting higher order births. To eradicate the socioeconomic inequity in infant survival, the government should design strong and sustainable maternal and child healthcare facilities, especially for rural areas.

Indexed as

Infant DeathInfant MortalityAdolescentBangladeshChildCross-Sectional StudiesFemaleHumansInfantRural PopulationSocioeconomic Factorscommunity child healthdemographyhealth policypublic health

Identifiers

PMID34385233
PMCPMC8362712

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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.