Evidence map›Paper›PMID 39614179›Full record

ArticleBMC pediatrics2024

Prevalence and psycho-social factors associated with alcohol use among primary school-going children aged 6 to 13 years in Mbale district, Uganda: a cross-sectional study.

Joyce Sserunjogi Nalugya, Noeline Nakasujja, Ingunn M S Engebretsen, Catherine Abbo, James K Tumwine, Seggane Musisi, Juliet N Babirye, Etheldreda Nakimuli Mpungu, Grace Ndeezi

Abstract read
In one paragraph

Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Joyce Sserunjogi NalugyaDepartment of Psychiatry, Mulago National Referral and Teaching Hospital, Ministry of Health, Kampala, Uganda. joycenalugya@yahoo.com.
Noeline NakasujjaDepartment of Psychiatry, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Ingunn M S EngebretsenCentre for International Health, Department of Global Public Health and Primary Care, Faculty of Medicine, University of Bergen, Bergen, Norway.
Catherine AbboDepartment of Psychiatry, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
James K TumwineDepartment of Pediatrics and Child Health, School of Medicine, Kabale University, Kabale, Uganda.
Seggane MusisiDepartment of Psychiatry, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Juliet N BabiryeDepartment of Disease Control, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
Etheldreda Nakimuli MpunguDepartment of Psychiatry, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Grace NdeeziDepartment of Pediatrics and Child Health, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.

Funding

NURTURE:Research Training and Mentoring Program for Career Development of Faculty at Makerere University College of Health SciencesD43TW010132 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI SEWANKAMBO, NELSON K · 2015 to 2019
$4.3M
FIC NIH HHS D43 TW010132NIH HHS Grant Number D43TW010132RCN GLOBVAC ES614003 285489
6 · The paper itself

Abstract

backgroundAlcohol use among children in low-resource settings has received limited attention. This study investigated the prevalence of and biopsychosocial factors associated with alcohol use among children aged 6 to 13 years enrolled in primary education in Uganda.

methodsThis cross-sectional study conducted in primary schools within Mbale district, employed stratified random sampling to select 470 child-parent dyads. Screening for child alcohol consumption utilized the validated Ugandan (Lumasaaba) version of the Car, Relax, Alone, Forget, Family/Friends, Trouble (CRAFFT) tool. Alcohol Use Disorder (AUD) was diagnosed using the AUD module of the Mini International Neuropsychiatric Interview for children and adolescents (MINI KID). Logistic regression analysis explored associations between alcohol consumption (CRAFFT cut-off score: 1 or more) and biopsychosocial factors (age, sex, nutrition, family dynamics, socioeconomic indicators, and school environment). Data analysis utilized STATA-17 statistical software.

resultsThe median age of the participants was 11 years, with an interquartile range (IQR) of 9 to 12 years and a male to female ratio of 1:1.3. The screened prevalence of alcohol consumption among the children in the past 12 months was 25.2% (95% CI: 21.4-29.4) and 7.2% (95% CI: 5.1-10.0) were diagnosed with AUD. The study found a comparable prevalence of alcohol use between boys (25.0%, 95% CI: 19.4-31.5) and girls (25.4%, 95% CI: 20.0-31.1). Age-specific variations indicated that early adolescents (10 to 13 years), were more likely to consume alcohol 28.1% (95% CI: 23.5-33.3) compared to pre-adolescent children (6 to 9 years) 17.6% (95% CI: 11.9-25.1) in the past 12 months. Factors associated with alcohol use included single-parent households, lower caregiver education, low socioeconomic status, maternal drinking, food insecurity, under-weight, physical discipline by parents, peer influence, rural school attendance, and the school environment.

conclusionThe prevalence of alcohol consumption among children in Mbale district, eastern Uganda was high with one-in-four primary-school-children aged 6 to 13 years consuming alcohol in the past year, and no significant gender differences. It highlights various interconnected factors associated with alcohol use among school-aged children. We recommend awareness campaigns at all levels, stricter implementation of alcohol policies, school prevention programs, and family-focused and socio-economic interventions. Nationwide school surveys should target pre-adolescent alcohol use.

Indexed as

Underage DrinkingAdolescentAlcohol DrinkingChildCross-Sectional StudiesFemaleHumansMalePrevalenceRisk FactorsSchoolsSocioeconomic FactorsUgandaAlcohol useAssociated factorsCross-sectional studyPrimary school-age childrenUganda

Identifiers

PMID39614179
PMCPMC11605859

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LicenceCC BY-NC-ND
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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.