Evidence map›Paper›PMID 35593176›Full record

ArticleInternational health2023

Spatial distribution and multilevel analysis of factors associated with child marriage in Nigeria.

Obasanjo Afolabi Bolarinwa, Abdul-Aziz Seidu, Zemenu Tadesse Tessema, Collins Adu, Olaoye James Oyeleye, Bright Opoku Ahinkorah

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In one paragraph

Article in International health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

The trial behind it

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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

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

  1. Pooled it
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Obasanjo Afolabi BolarinwaDepartment of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.ORCID 0000-0002-9208-6408
Abdul-Aziz SeiduDepartment of Estate Management, Takoradi Technical University, Takoradi, Ghana.ORCID 0000-0001-9734-9054
Zemenu Tadesse TessemaDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Collins AduCollege of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD 4811, Australia.
Olaoye James OyeleyeDepartment of Demography and Social Statistics, Obafemi Awolowo University, Ile-Ife, Nigeria.
Bright Opoku AhinkorahSchool of Public Health, University of Technology Sydney, Sydney, NSW 2007, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChild marriage among women has become a major threat to the rights of women, especially in low- and middle-income countries. The marriage of girls below age 18 y is a major public and global health challenge. Therefore, this study examined the spatial pattern and factors associated with child marriage in Nigeria.

methodsThe data were sourced from the 2018 Nigeria Demographic and Health Survey. The study included a total of 4283 young women aged 20-24 y. The findings were provided in the form of spatial maps and adjusted ORs (aORs) with 95% confidence interval (CI).

resultsHotspot areas for child marriage in Nigeria were located in Sokoto, Kebbi, Katsina, Kano, Jigawa, Yobe, Bauchi, Niger, Borno, Gombe, and Adamawa. The prevalence of child marriage in Nigeria was 41.50%. The likelihood of child marriage in Nigeria was high among those currently working (aOR=1.31; 95% CI 1.11 to 1.55) compared with young women who were not working. On the other hand, young women whose partners had secondary education and above (aOR=0.57; 95% CI 0.45 to 0.73) were less likely to report child marriage in Nigeria compared with those whose partners had no education.

conclusionsThe findings of the study indicate that there are several hotspots in Nigeria that need to be targeted when implementing interventions aimed at eliminating child marriage in the country.

Indexed as

Multilevel AnalysisChildEducational StatusFemaleHumansNigeriaPrevalenceSpatial Analysischild marriageDemographic and health surveymappingmultilevel analysisNigeriaspatial analysis

Identifiers

PMID35593176
PMCPMC9977223

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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.