Evidence map›Paper›PMID 38812418›Full record

SynthesisTrauma, violence & abuse2024

Child Sexual Abuse in Nigeria: A Systematic Review.

Moninuola Ifayomi, Parveen Ali, Katie Ellis

Abstract readSystematic Review
In one paragraph

Synthesis in Trauma, violence & abuse, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Moninuola IfayomiUniversity of Sheffield, UK.ORCID 0009-0005-7159-5851
Parveen AliUniversity of Sheffield, UK.ORCID 0000-0002-7839-8130
Katie EllisUniversity of Sheffield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Child sexual abuse (CSA) is a major social and public health issue that creates short- and long-lasting impacts on victims, families, and society. While global researchers have considered the topic of CSA since the 19th century, the Nigerian context has been largely ignored. Yet, without sufficient evidence and understanding, making changes to practices and policies becomes almost impossible. The review aimed to gain insights into the nature and extent of CSA and identify areas for improvement in practice and research in Nigeria. This article presents the findings of a systematic review of 31 empirical articles related to CSA in Nigeria. Using key search terms along Boolean operators and truncation, PubMed, PsycINFO, CINAHL, ASSIA, PILOTS, African Journals Online, and Google Scholar were searched. A total of 1,325 studies were found, and 31 empirical studies, including 20 quantitative, 9 qualitative, and 2 mixed methods studies, were included. The review findings reveal the discourse on CSA and delve into various aspects such as its prevalence, manifestation patterns, root causes, management, and consequential impact on victims and societal domains. The gaps in the existing literature are identified and explored to identify areas for improvement in victim services, societal awareness, and healthcare practices and relevant policies. The sociocultural norms not only heightened children's vulnerability to sexual abuse but also posed significant barriers to them disclosing such abuse. Survivors of CSA often receive inadequate care, indicating a pressing need for improvements in this area. Implications for research, policy, and conclusion were discussed.

Indexed as

Child Abuse, SexualChildCrime VictimsFemaleHumansMaleNigeriaPrevalencechild abusechild sexual abuseNigeria and systematic review.perpetratorssexual abusevictims

Identifiers

PMID38812418
PMCPMC11545136

What OpenQuestion holds

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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.