Evidence map›Paper›PMID 37163492›Full record

ArticlePloS one2023

Prevalence and factors associated with chronic school absenteeism among 207,107 in-school adolescents: Findings from cross-sectional studies in 71 low-middle and high-income countries.

Md Ashfikur Rahman, Andre M N Renzaho, Satyajit Kundu, Md Abdul Awal, Md Ashikuzzaman, Lijun Fan, Bright Opoku Ahinkorah, Joshua Okyere, Joseph Kihika Kamara, Rashidul Alam Mahumud

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
25.0field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

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  14. Clinical characteristics of child and adolescent psychiatric patients with school refusal: Child versus adolescent onset.Journal of the Canadian Academy of Child and Adolescent Psychiatry = Journal de l'Academie canadienne de psychiatrie de l'enfant et de l'adolescent · 2025
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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

10 authors at 7 institutions in 4 countries.

Md Ashfikur RahmanDevelopment Studies Discipline, Social Science School, Khulna University, Khulna, Bangladesh.ORCID 0000-0002-5517-8557
Andre M N RenzahoProfessor of Humanitarian and Development Studies, School of Medicine and Health, Western Sydney University, Campbelltown, Australia.
Satyajit KunduGlobal Health Institute, North South University, Dhaka, Bangladesh.ORCID 0000-0001-9610-1479
Md Abdul AwalElectronics and Communication Engineering Discipline, Khulna University, Khulna, Bangladesh.
Md AshikuzzamanDevelopment Studies Discipline, Khulna University, Khulna, Bangladesh.
Lijun FanSchool of Public Health, Southeast University, Nanjing, China.
Bright Opoku AhinkorahSchool of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia.
Joshua OkyereDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Joseph Kihika KamaraWorld Vision International, East Africa Regional Office, Karen, Nairobi, Kenya.ORCID 0000-0001-8727-9611
Rashidul Alam MahumudNHMRC Clinical Trials Centre, Faculty of Medicine and Health, The University of Sydney, Camperdown, New South Wales, Australia.
Khulna University · BDCamden and Campbelltown Hospitals · AUNorth South University · BDSoutheast University · CNThe University of Sydney · AUUniversity of Cape Coast · GHUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the negative impact of chronic school absenteeism on the psychological and physical health of adolescents, data on the burden of adolescent chronic school absenteeism (ACSA) and interventions and programs to address it are lacking. We estimated the global, regional and national level prevalence of ACSA and its correlation with violence and unintentional injury, psychosocial, protective, lifestyle, and food security-related factors among in-school adolescents across low and middle-income, and high-income countries (LMICs-HICs).

objectivesThis study aimed to estimate the prevalence of chronic school absenteeism (CSA) as well as to determine its associated factors among in-school adolescents across 71 low-middle and high-income countries.

methodsWe used data from the most recent Global School-based Student Health Survey of 207,107 in-school adolescents aged 11-17 years in 71 LMICs-HICs countries across six WHO regions. We estimated the weighted prevalence of ACSA from national, regional and global perspectives. Multiple binary logistic regression analyses were used to estimate the adjusted effect of independent factors on ACSA.

resultsThe overall population-weighted prevalence of CSA was 11·43% (95% confidence interval, CI: 11·29-11·57). Higher likelihood of CSA was associated with severe food insecurity, peer victimisation, loneliness, high level of anxiety, physically attack, physical fighting, serious injury, poor peer support, not having close friends, lack of parental support, being obese, and high levels of sedentary behaviours. Lower likelihood of CSA was associated with being female (odds ratio, OR = 0·76, 95% CI: 0·74-0·78).

conclusionOur findings indicate that a combination of different socio-economic factors, peer conflict and injury factors, factors exacerbate CSA among adolescents. Interventions should be designed to focus on these risk factors and should consider the diverse cultural and socioeconomic contexts.

Indexed as

AbsenteeismSchoolsAdolescentCross-Sectional StudiesDeveloped CountriesFemaleHealth SurveysHumansMalePrevalence

Identifiers

PMID37163492
PMCPMC10171665
OpenAlexW4376132070

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.