Evidence map›Paper›PMID 32429949›Full record

ArticleBMC public health2020

Spatial analysis of individual- and village-level sociodemographic characteristics associated with age at marriage among married adolescents in rural Niger.

Holly B Shakya, John Weeks, Sneha Challa, Paul J Fleming, Beniamino Cislaghi, Lotus McDougal, Sabrina C Boyce, Anita Raj, Jay G Silverman

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

9 authors at 6 institutions in 2 countries.

Holly B ShakyaCenter on Gender Equity and Health, University of California San Diego, 9100 Gilman Dr, La Jolla, CA, USA. hshakya@ucsd.edu.
John WeeksSan Diego State University, 5500 Campanile Dr, San Diego, CA, 92182, USA.
Sneha ChallaCenter on Gender Equity and Health, University of California San Diego, 9100 Gilman Dr, La Jolla, CA, USA.
Paul J FlemingUniversity of Michigan, 500 S State St, Ann Arbor, MI, 48109, USA.
Beniamino CislaghiLondon School of Hygiene and Tropical Medicine, Keppel St, Bloomsbury, London, WC1E 7HT, UK.
Lotus McDougalCenter on Gender Equity and Health, University of California San Diego, 9100 Gilman Dr, La Jolla, CA, USA.
Sabrina C BoyceUniversity of California Berkeley, 50 University Ave Hall #7360, Berkeley, CA, 94720, USA.
Anita RajCenter on Gender Equity and Health, University of California San Diego, 9100 Gilman Dr, La Jolla, CA, USA.
Jay G SilvermanCenter on Gender Equity and Health, University of California San Diego, 9100 Gilman Dr, La Jolla, CA, USA.
Center for Health and Gender Equity · USLondon School of Hygiene & Tropical Medicine · GBSan Diego State University · USUniversity of California, Berkeley · USUniversity of California, San Diego · USUniversity of Michigan–Ann Arbor · US

Funding

Reproductive Coercion and Related Risk FactorsF31HD100019 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI BOYCE, SABRINA CHRISTINE · 2019 to 2021
$127k
Bill & Melinda Gates Foundation OPP1066462NICHD NIH HHS F31 HD100019
6 · The paper itself

Abstract

backgroundNiger has the highest prevalence of child marriage in the world. While child marriage in Niger is clearly normative in the sense that it is commonly practiced, the social and contextual factors that contribute to it are still unclear.

methodsHere, we tested the importance of village-level factors as predictors of young age at marriage for a group of married adolescent girls (N = 1031) in the Dosso district of rural Niger, using multi-level and geographic analyses. We aggregated significant individual level factors to determine whether, independent of a girl's own sociodemographic characteristics, the impact of each factor is associated at the village level. Finally, we tested for spatial dependence and heterogeneity in examining whether the village-level associations we find with age at marriage differ geographically.

resultsThe mean age of marriage for girls in our study was 14.20 years (SD 1.8). Our statistical results are consistent with other literature suggesting that education is associated with delayed marriage, even among adolescent girls. Younger ages at marriage are also associated with a greater age difference between spouses and with a greater likelihood of women being engaged in agricultural work. Consistent with results at the individual level, at the village level we found that the proportion of girls who do agricultural work and the mean age difference between spouses were both predictive of a lower age at marriage for individual girls. Finally, mapping age at marriage at the village level revealed that there is geographical variation in age at marriage, with a cluster of hot spots in the Hausa-dominated eastern area where age at marriage is particularly low and a cluster of cold spots in the Zarma-dominated western areas where age at marriage is relatively high.

conclusionsOur findings suggest that large-scale approaches to eliminating child marriage in these communities may be less successful if they do not take into consideration geographically and socially determined contextual factors at the village level.

Indexed as

Age FactorsSocioeconomic FactorsAdolescentChildFemaleGeographyHumansMarriageNigerRural PopulationSpatial AnalysisEarly marriageHot spot analysisNigerSocial normsSpatial analysis, geographically weighted regression

Identifiers

PMID32429949
PMCPMC7238637
OpenAlexW3026494657

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.