Evidence map›Paper›PMID 37273544›Full record

ArticlePeerJ2023

Exposure to mass media family planning messages among men in Nigeria: analysis of the Demographic and Health Survey data.

Daniel Amoak, Irenius Konkor, Kamaldeen Mohammed, Sulemana Ansumah Saaka, Roger Antabe

Abstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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

  1. Pooled it
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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

5 authors.

Daniel AmoakUniversity of Western Ontario, London, Ontario, Canada.
Irenius KonkorUniversity of Toronto, Mississauga, Ontario, Canada.
Kamaldeen MohammedUniversity of Western Ontario, London, Ontario, Canada.
Sulemana Ansumah SaakaUniversity of Western Ontario, London, Ontario, Canada.
Roger AntabeUniversity of Toronto, Scarborough, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Family planning (FP) is essential for improving health and achieving reproductive goals. Although men are important participants in FP decision-making within households in Nigeria, a country with one of the highest rates of maternal mortality, we know very little about their exposure to mass media FP messages. Methods: Drawing theoretical insights from the structural influence model of health communication and using the 2018 Nigeria Demographic and Health Survey ( Results: A range of socioeconomic, locational, and demographic factors were associated with men's exposure to mass media FP messages. For example, wealthier, more educated, and employed men were more likely to be exposed to mass media FP messages than their poorer, less educated, and unemployed counterparts. In addition, compared to those in rural areas and other regions, men in urban areas as well as South East Region, were more likely to be exposed to mass media FP messages. Finally, younger men and those who belong to the traditional religion were less likely to be exposed to mass media FP messages, compared to their older and Christian counterparts. Conclusions: Based on these findings, we discuss implications and recommendations for policymakers as well as directions for future research.

Indexed as

Family Planning ServicesMass MediaContraception BehaviorFamily CharacteristicsHumansMaleNigeriaContraceptive useFamily planning messagesMass mediaNigeria Demographic and Health SurveyStructural influence model of health communication

Identifiers

PMID37273544
PMCPMC10237178

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.