ArticleFrontiers in psychology2026
Association between college students 'physical fitness index and negative emotional symptoms: an empirical study based on college students in Chongqing City, China.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To investigate the independent associations between the physical fitness index (PFI), as well as individual physical fitness metrics, and negative emotional symptoms (stress, anxiety, and depression) among college students; and to analyze gender-specific variations in these associations, thereby providing empirical, fitness-based evidence for mental health interventions in higher education institutions. Methods: Utilizing a cross-sectional design, this study selected 2,190 college students from 73 universities across Chongqing via stratified cluster sampling. A standardized physical fitness test battery-comprising vital capacity, the 50-meter sprint, the 800/1000-meter run, the sit-and-reach test, and pull-ups/sit-ups-was administered to calculate the comprehensive PFI. Negative emotional symptoms were assessed using the 21-item Depression Anxiety Stress Scales (DASS-21). Multivariable Logistic regression models were employed to evaluate the independent associations between physical fitness and negative emotional symptoms, after comprehensively adjusting for moderate-to-vigorous physical activity (MVPA), muscle-strengthening exercise (MSE), screen time, sedentary duration, and sociodemographic variables. Results: The detection rates of stress, anxiety, and depression symptoms were 68.08%, 67.67%, and 12.37%, respectively. In conventional categorical models, moderate and high PFI were associated with lower odds of all three outcomes in the pooled sample, although several high-PFI estimates were extremely small. Firth sensitivity analyses supported inverse associations for high PFI across outcomes and sexes; however, moderate PFI was not statistically associated with stress in female students or anxiety in male students. Continuous PFI analyses showed lower odds of each outcome per 1-SD increase in the pooled and sex-stratified samples (all Conclusions: Higher PFI was independently associated with lower odds of negative emotional symptoms among college students. The consistency of direction across categorical, Firth-penalized, and continuous-PFI models supports the robustness of the association, but the extreme categorical estimates, model-calibration findings, sample-relative cutoffs, and cross-sectional design require cautious interpretation. Longitudinal and intervention studies are needed before PFI is used as a clinical or campus screening threshold.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.