Evidence map›Paper›PMID 40535430›Full record

ArticleFrontiers in public health2025

Patterns and prevalence of depression, tobacco, and caffeine use among university students from different majors in Lebanon: a cross-sectional study.

Afife El Hashem, Angela Bou Saba, Anna Maria Bou Madi, Caroline Mahfouz, Clara Derian, Elie El Husseiny, Jeanne-Marie Hanna, Maguy El Hayek, Shafika Assaad

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

9 authors.

Afife El Hashem *Fundamental Health Sciences Department, School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon.
Angela Bou Saba *Fundamental Health Sciences Department, School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon.
Anna Maria Bou Madi *Fundamental Health Sciences Department, School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon.
Caroline Mahfouz *Fundamental Health Sciences Department, School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon.
Clara Derian *Fundamental Health Sciences Department, School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon.
Elie El Husseiny *Fundamental Health Sciences Department, School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon.
Jeanne-Marie Hanna *Fundamental Health Sciences Department, School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon.
Maguy El Hayek *Fundamental Health Sciences Department, School of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, Lebanon.
Shafika Assaad *Fundamental Health Sciences Department, School 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

Background: Mental health plays a fundamental role in overall wellbeing, with depression being one of the most common mental health disorders worldwide. University students face significant academic, financial, and social pressures, making them particularly vulnerable to depression. Research showed difference in consumption of psychoactive substances such as caffeine and tobacco among genders and academic fields. It suggests also a link between the use of these substances and an increase in depressive symptoms. The consumption of these substances among all university students in Lebanon from multiple majors and the relationship between this intake and mental health remains underexplored. Materials and methods: This cross-sectional study surveyed university students across Lebanon to assess their tobacco and caffeine consumption and its relationship with depression. A self-administered online questionnaire, including the Beck Depression Inventory, was used to measure depression levels and collect data on substance use patterns. A total of 626 convenient responses were analyzed, incorporating both descriptive and inferential statistical analyses. Results: The study found that 31.15% of university students experienced some level of depression. Gender differences were observed in tobacco and caffeine consumption: cigarette smoking was significantly higher among males (25%) than females (7.4%), while no significant gender-based differences were found for electronic cigarette and shisha use. Among caffeinated products, chocolate was the most consumed (92.9% males, 98.1% females), followed by other types of coffee (71.9% males, 80.5% females). Significant gender differences were noted in Arabic coffee, chocolate, tea, and cigarette consumption, but not for energy drinks, e-cigarettes, or waterpipes. Depression levels did not significantly differ between genders for most substances, except for cigarette smoking, where female smokers exhibited significantly higher depression scores than male smokers ( Conclusion: This study highlights the need for targeted mental health interventions, awareness campaigns, and accessible psychological support services for university students. Future research should explore additional sociocultural factors influencing substance use and mental health.

Indexed as

CaffeineDepressionSmokingStudentsTobacco UseAdolescentAdultCross-Sectional StudiesFemaleHumansLebanonMalePrevalenceSurveys and QuestionnairesUniversitiesYoung AdultCaffeinecaffeine usedepressionLebanontobacco consumptionuniversity students

Identifiers

PMID40535430
PMCPMC12173863

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.