Evidence map›Paper›PMID 39890229›Full record

ArticleThe Lancet. Global health2025

Epidemiology of menstrual-related absenteeism in 44 low-income and middle-income countries: a cross-sectional analysis of Multiple Indicator Cluster Surveys.

Miranda Starr, Rebecca Harding, Ricardo Ataíde, Naomi Von Dinklage, Sheela S Sinharoy, Yasmin Jayasinghe, Lucinda Manda-Taylor, Jane Fisher, Sabine Braat, Sant-Rayn Pasricha

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Article in The Lancet. Global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Miranda StarrWalter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.
Rebecca HardingWalter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.
Ricardo AtaídeWalter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia; Department of Infectious Diseases at the Peter Doherty Institute, University of Melbourne, Melbourne, VIC, Australia.
Naomi Von DinklageWalter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.
Sheela S SinharoyHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Yasmin JayasingheDepartment of Obstetrics, Gynaecology, and Newborn Health, University of Melbourne, Royal Women's Hospital, Melbourne, VIC, Australia; Department of Gynaecology, Royal Children's Hospital, Melbourne, VIC, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Lucinda Manda-TaylorSchool of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi.
Jane FisherGlobal and Women's Health, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Sabine BraatWalter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia; Department of Infectious Diseases at the Peter Doherty Institute, University of Melbourne, Melbourne, VIC, Australia.
Sant-Rayn PasrichaWalter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia; Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia; Diagnostic Haematology, The Royal Melbourne Hospital, Melbourne, VIC, Australia; Clinical Haematology, The Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, Melbourne, VIC, Australia. Electronic address: pasricha.s@wehi.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMenstrual-related absenteeism from work, school, or social activities is an important functional indicator of poor menstrual health that disrupts women's and girls' daily lives and exacerbates gender inequality. We sought to estimate the prevalence of and factors contributing to menstrual-related absenteeism across low-income and middle-income countries.

methodsWe analysed cross-sectional data from 47 nationally or subnationally representative Multiple Indicator Cluster Surveys from 2017 to 2023, which comprised 3 193 042 individuals from 555 869 households across 44 countries; those with available information on the outcome of interest were included in our analysis. The outcome of interest was menstrual-related absenteeism from work, school, or social activities during the respondent's last menstrual period. Independent factors included age, household wealth index, use (vs no use) of menstrual materials (eg, pads, tampons, or cloth), availability of a private place to wash at home during menstruation, and contraceptive use (hormonal and other). Univariable and multivariable associations between each factor and menstrual-related absenteeism were analysed using log-binomial models. Prevalence ratios, estimated from the log-binomial models, represent the relative prevalence of menstrual-related absenteeism across different levels of the independent variables. Prevalences and associations were pooled by geographical region and overall across all surveys using a random-effects meta-analysis. Heterogeneity was assessed using the I

findingsWe included 673 380 women and girls aged 15-49 years in this analysis. The overall pooled prevalence of menstrual-related absenteeism was 15·0% (95% CI 12·7-17·3), with prevalence being highest in south Asia (19·7% [11·6-27·8]) and west and central Africa (18·5% [13·5-23·5]). After pooling data across surveys, girls aged 15-19 years were found to have a higher prevalence of menstrual-related absenteeism than those in older age groups, with overall pooled prevalence ratios ranging from 0·75 (0·68-0·82) in those aged 35-39 years to 0·92 (0·87-0·97) in those aged 20-24 years relative to the 15-19 years age group, with adjustment for area type (urban or rural). There was no association between menstrual-related absenteeism and household wealth or the use of menstrual materials. By contrast, having a private place to wash at home was associated with an increased prevalence of menstrual-related absenteeism (overall pooled prevalence ratio 1·25 [1·05-1·48], adjusted for wealth and area type). Menstrual-related absenteeism was less prevalent in women and girls using any contraceptives compared with those not using contraceptives (0·92 [0·87-0·96]), and for those using hormonal contraceptives compared with those using non-hormonal or no contraceptives (0·91 [0·84-0·99]), after adjusting for age, wealth, education level, parity, and area type.

interpretationMenstrual-related absenteeism is prevalent, especially in Asia and Africa and among adolescent girls. The age-independent protective effect of hormonal contraceptive use suggests that symptoms such as heavy menstrual bleeding or pain contribute to absenteeism. Future studies are urgently needed to better characterise these findings to inform relevant public health interventions.

fundingNational Health and Medical Research Council, Australia.

Indexed as

AbsenteeismDeveloping CountriesMenstruationAdolescentAdultCluster AnalysisCross-Sectional StudiesFemaleGlobal HealthHumansMiddle AgedPrevalenceYoung Adult

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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.