Evidence map›Paper›PMID 35771899›Full record

ArticlePloS one2022

Correlates of absenteeism at work, school and social activities during menstruation: Evidence from the 2017/2018 Ghana Multiple Indicator Cluster Survey.

Stanley Kofi Alor, Emmanuel Anongeba Anaba, Philip Baba Adongo

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Stanley Kofi AlorDepartment of Social and Behavioural Sciences, School of Public Health, University of Ghana, Accra, Ghana.
Emmanuel Anongeba AnabaDepartment of Population, Family and Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana.ORCID 0000-0002-8942-0460
Philip Baba AdongoDepartment of Social and Behavioural Sciences, School of Public Health, University of Ghana, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMenstruation is a biological process which is crucial for human reproduction. Menstruation is a source of absenteeism, yet the subject matter has not been well explored. This study aimed to assess the correlates of absenteeism at school, work and social activities during menstruation among Ghanaian women of reproductive age.

methodsThis study was an analysis of secondary data from the 2017/18 Ghana Multiple Indicator Cluster Survey. Data were analysed using descriptive statistics, Chi-square and Binomial Logistic Regression with the aid of Stata/SE, version 16.

resultsThe majority of the participants were aged 25-49 years (63%), married/in union (55%) and resided in urban areas (52%). Nine in ten participants had access to privacy at home and 98% used menstrual materials during their last period. Eight in ten participants used disposable menstrual materials. Exactly 19% of the participants missed school, work or social activities during their last period. Participants who used disposable menstrual materials (AOR = 0.67; 95% CI: 0.52-0.85) were less likely to miss school, work or social activities during menstruation compared to those who used reusable menstrual materials.

conclusionThis study demonstrated that a significant minority of women in Ghana miss academic, economic or social activities during menstruation. Therefore, there is a need for effective interventions to help reduce menstruation-related absenteeism among women and girls in Ghana.

Indexed as

AbsenteeismMenstruationCross-Sectional StudiesFemaleGhanaHealth Knowledge, Attitudes, PracticeHumansSchools

Identifiers

PMID35771899
PMCPMC9246230

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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.