Evidence map›Paper›PMID 33046457›Full record

ArticleBMJ global health2020

Childhood morbidity and its determinants: evidence from 31 countries in sub-Saharan Africa.

Sulaimon T Adedokun, Sanni Yaya

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 45 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 3 countries.

Sulaimon T AdedokunDepartment of Demography and Social Statistics, Obafemi Awolowo University, Ile-Ife, Osun, Nigeria.
Sanni YayaSchool of International Development and Global Studies, University of Ottawa, Ottawa, Ontario, Canada sanni.yaya@uottawa.ca.ORCID 0000-0002-4876-6043
Obafemi Awolowo University · NGUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough under-five mortality reduced globally from 93 per 1000 live births in 1990 to 39 in 2018, sub-Saharan Africa witnessed an increase from 31% in 1990 to 54% in 2018. Morbidity has been reported to contribute largely to these deaths. This study examined the factors that are associated with childhood morbidity in sub-Saharan Africa.

methodsDemographic and Health Surveys of 31 countries in sub-Saharan Africa were used in this study. The study involved 189 069 children who had or did not have fever, cough or diarrhoea in the 2 weeks preceding the surveys. Descriptive statistics and binary logistic regression were applied in the analysis.

resultsAbout 22% of the children suffered from fever, 23% suffered from cough and 16% suffered from diarrhoea. While the odds of experiencing fever increased by 37% and 18%, respectively, for children from poorest and poorer households, children of women aged 15-24 and 25-34 years are 47% and 23%, respectively, more likely to experience diarrhoea. The probability of suffering from morbidity increased for children who are 12-23 months, of higher order birth, small in size at birth and from households with non-improved toilet facility.

conclusionsThis study has shown that childhood morbidity remains a major health challenge in sub-Saharan Africa with socioeconomic, maternal, child's and environmental factors playing significant roles. Efforts at addressing this problem should consider these factors.

Indexed as

DiarrheaFeverAfrica South of the SaharaChildFamily CharacteristicsFemaleHumansInfant, NewbornMorbiditychild healthhealth policyhealth services researchpublic health

Identifiers

PMID33046457
PMCPMC7552796
OpenAlexW3092217254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.