Evidence map›Paper›PMID 30558601›Full record

ArticleBMC public health2018

Factors associated with under-five mortality in Bhutan: an analysis of the Bhutan National Health Survey 2012.

Tashi Dendup, Yun Zhao, Deki Dema

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Avoidable mortality in childhood in Colombia: A type of violenceBiomedica : revista del Instituto Nacional de Salud · 2026
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Tashi DendupSchool of Public Health, Faculty of Health Sciences, Curtin University, Perth, WA, 6102, Australia. taseedee@gmail.com.
Yun ZhaoSchool of Public Health, Faculty of Health Sciences, Curtin University, Perth, WA, 6102, Australia.
Deki DemaNational Commission for Women and Children, Royal Government of Bhutan, Thimphu, Bhutan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs an important marker for health equity and access, under-five mortality (UFM) is a primary measure for socioeconomic development. The importance of reducing UFM has been further emphasized in an ambitious target under Sustainable Development Goals. The factors influencing UFM are not adequately understood in Bhutan.

methodsThe most recent dataset of the Bhutan National Health Survey (BNHS) 2012 was used in this study. Multiple logistic regression analysis using a backwards elimination approach was performed to identify significant factors influencing UFM. All statistical analyses were adjusted for the complex study design due to the multistage stratified cluster sampling used in BNHS.

resultsBhutan's UFM rate was 37 per 1000 live births. The weighted mean age of the children was 7.3 years (SD: 1.53; range: 3-12). Mother's age, household size, access to electricity and sanitation, residential region, and parity were the key factors associated with UFM. The UFM risk was significantly lower in children born to mothers aged 36-40 years, 41-45 years, and > 45 years when compared to that in children born to mothers aged < 26 years. The likelihood of mortality was 66% lower (95% CI: 0.21-0.55) among children born in households with > 5 members. Children born in households without electricity and safe sanitation had a significantly higher risk of death, by 81 and 49% respectively. Relative to those born in the west, children born in the central and eastern regions were 1.72 (95% CI: 1.07-2.77) and 2.09 (95% CI: 1.46-2.99) times more likely to die, respectively. Children born to mothers who gave birth to > 2 children were significantly more likely to die than their counterparts.

conclusionThese findings suggest that younger mother's age, the higher number of births and being born in the central and eastern regions are associated with a higher UFM risk, whereas a larger household size and access to electricity and safe sanitation are key factors associated with lower UFM risk in Bhutan. Women empowerment, health education and strategies promoting maternal and child health in rural areas need to be scaled-up. Additionally, socioeconomic development programs should seek to reduce regional disparities.

Indexed as

AdolescentAdultBhutanChild MortalityChild, PreschoolFemaleHealth SurveysHumansInfantInfant MortalityInfant, NewbornMaleMaternal AgeMiddle AgedMothersParityBhutanHousehold sizeSanitationTotal number of birthsUnder-five mortality

Identifiers

PMID30558601
PMCPMC6296032

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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.