Evidence map›Paper›PMID 39839918›Full record

ArticleFrontiers in psychology2024

Investigation of the relationship between mental health and physical activity among university students.

Mohammad Ahsan, Turki Abualait

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. 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

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Motives and Barriers to Physical Activity Participation Among University Students.International journal of environmental research and public health · 2025
    Article
  5. Article
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

2 authors.

Mohammad AhsanDepartment of Physical Therapy, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Turki AbualaitDepartment of Physical Therapy, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Physical activity refers to all bodily movement performed by an individual from morning to night. Physical activity benefits not only physical health but also mental health. Physical activity benefits university students in many ways. Aims: This study aimed to determine the effects of physical activity on university students' mental health. Methods: A cross-sectional study design was conducted with two hundred sixty-five university students. Physical activity level was determined by the International Physical Activity Questionnaire, and mental health among university students was determined using the mental health inventory. Data was collected by online mode. For statistical analysis, the Pearson correlation coefficient test was used, while analysis of variance was used to determine the difference between participants as per their physical activity levels classification. Statistically significant was observed at 0.05 level. Results: The results showed that a statistically positive significant relationship existed between physical activity and mental health ( Conclusion: The findings suggest that interventions promoting physical activity can serve as effective strategies for mental health promotion in academic settings. Universities should consider integrating structured physical activity programs into their curricula and campus life to leverage these mental health benefits.

Indexed as

anxietydepressionexercisemental healthstressstudents

Identifiers

PMID39839918
PMCPMC11747765

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.