Evidence map›Paper›PMID 40389953›Full record

ArticleBMC public health2025

Mental health status among university students during the transition period from high school to university in Lebanon: a cross-sectional study.

Rawad Affan, Khalil Darwich, Georges Jarrouge, Theresia Hannouch, Shafika Assaad

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Rawad AffanSchool of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon. rawad.r.affan@net.usek.edu.lb.
Khalil DarwichSchool of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon.
Georges JarrougeSchool of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon.
Theresia HannouchSchool of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon.
Shafika AssaadSchool of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe transition from high school to university is a critical life stage associated with heightened vulnerability to mental health challenges. Despite global recognition, there is limited research on the psychosocial risks faced by first-year university students in Lebanon, a region further burdened by socio-economic and political instability.

objectiveTo assess the mental health status of first-year university students in Lebanon, focusing on the prevalence and intensity of mental health challenges such as anxiety, depression, and stress during the transitional period.

methodsThis cross-sectional study involved 1,024 students from multiple Lebanese universities during the 2023-2024 academic year. Data were collected via a self-reported questionnaire and the General Health Questionnaire-28 (GHQ-28), that assesses mental health across four key dimensions: somatic symptoms, anxiety and insomnia, social dysfunction, and severe depression. Descriptive statistics, chi-square tests and P-values were used to analyze demographic, behavioral, and mental health data.

resultsA significant gender difference in employment (χ

conclusionsThe study highlights the urgent need for targeted mental health interventions for Lebanese university students, addressing both universal and region-specific challenges. The findings emphasize the importance of early intervention, increased access to mental health resources, and promoting systemic changes to improve overall student well-being.

Indexed as

Mental HealthStudentsAdolescentAdultAnxietyCross-Sectional StudiesDepressionFemaleHumansLebanonMalePrevalenceSchoolsStress, PsychologicalSurveys and QuestionnairesUniversitiesAnxietyDepressionGHQ-28LebanonMental healthPsychological distressStressTransitional periodUniversity students

Identifiers

PMID40389953
PMCPMC12087027

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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.