ArticleBMC psychiatry2025
The relationships between stress, physical activity, mood, cognitive-emotional abilities, personality traits, and sleep.
Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- How We Sleep, How We Move, How Long We Expect to Live: An Integrative Review of Lifestyle Behaviors and Subjective Life Expectancy.Nutrients · 2026Review
- Beyond membership: how active sports club participation shapes happiness.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSleep quality and duration are shaped by a complex interplay of behavioral, psychological, and sociodemographic factors. This study aimed to examine the relationships between physical activity, perceived stress, mood, personality traits, and cognitive- emotional abilities in relation to adult sleep patterns.
methodsA cross-sectional study was conducted with 1,140 participants (27.1% men, 72.9% women; aged 18-64). Sleep parameters were assessed using items adapted from the Pittsburgh Sleep Quality Index. Additional validated tools measured physical activity (IPAQ), perceived stress (PSS-10), mood (BRUMS), emotional intelligence (SSREIT), personality traits (BFI), moral decision-making, and cognitive reflection. Statistical analyses included chi-square tests, two-way ANOVAs, and multi-step general linear modeling.
resultsWomen reported higher levels of perceived stress, fatigue, emotional intelligence, and empathetic decision-making, while men showed greater vigor, BMI, and leisure-time physical activity. No significant gender differences were found in sleep duration or latency, although men tended to go to bed later. Sleep outcomes were most strongly influenced by demographic factors, including age, gender, place of residence, education, and physical job demands. Psychological variables, including fatigue, anger, and vigor, also played a significant role. Additionally, personality traits like neuroticism, conscientiousness, and openness, along with body mass index, perceived health, and leisure-time physical activity, were important predictors of sleep quality. Conversely, other expected psychosocial factors-such as happiness, perceived stress, sedentary behavior, emotional intelligence, depression, confusion, and work-related moderate to vigorous physical activity-were not found to be significant.
conclusionsOur findings indicate that sleep indicators are related to various sociodemographic factors, personality traits, overall health, mood profiles, and notably, physical activity during leisure time. However, we did not find any significant connections between sleep indicators and cognitive-emotional abilities, such as emotional intelligence, cognitive reflection, and empathy.
trial registration
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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.