International journal of sports physical therapy · 2021
A Multi-Systems Approach to Human Movement after ACL Reconstruction: The Integumentary System.
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Rabaglietti Emanuela, De Lorenzo Aurelia, Micheletti Cremasco Margherita, Sguaizer Francesco, Mulasso Anna, Rainoldi Alberto, Brustio Paolo Riccardo
Аннотация
BACKGROUND: Emerging adulthood is a critical period for the adoption of health behaviours. This study aimed to identify distinct lifestyle profiles among university students using a person-oriented approach and to examine their associations with psychological wellbeing, stress, anxiety, and depression.
METHODS: In this cross-sectional study, 2,078 students (aged 18-39) from the University of Torino provided data on six lifestyle indicators: sedentary behaviour, diet, sleep, alcohol, sport, and smoking. Cluster analysis (Partitioning Around Medoids) was used to identify profiles. Differences in psychological outcomes (WEMWBS, PSS-10, HADS) were assessed using ANCOVA, adjusting for age and gender.
RESULTS: Four profiles were identified: Active-Healthier (29%), Sedentary-Sporty (17.6%), Sedentary-Non-sporty (25.7%), and Active-Riskier (27.7%). Sedentary behaviour showed the strongest differentiation across profiles (Cramér's V = 0.789). After adjustment for age and gender, lifestyle profile membership was significantly associated with wellbeing, perceived stress, anxiety, and depressive symptoms (all p < .001), although effect sizes were small (partial η 2 = 0.009-0.016). The Active-Healthier profile showed the most favourable psychological pattern, whereas differences among the remaining three profiles were not statistically significant.
CONCLUSION: Health-related behaviours co-occur in multidimensional patterns among university students. Person-oriented profiling may help universities move beyond generic health promotion towards more targeted interventions that jointly address physical and mental health.
METHODS: In this cross-sectional study, 2,078 students (aged 18-39) from the University of Torino provided data on six lifestyle indicators: sedentary behaviour, diet, sleep, alcohol, sport, and smoking. Cluster analysis (Partitioning Around Medoids) was used to identify profiles. Differences in psychological outcomes (WEMWBS, PSS-10, HADS) were assessed using ANCOVA, adjusting for age and gender.
RESULTS: Four profiles were identified: Active-Healthier (29%), Sedentary-Sporty (17.6%), Sedentary-Non-sporty (25.7%), and Active-Riskier (27.7%). Sedentary behaviour showed the strongest differentiation across profiles (Cramér's V = 0.789). After adjustment for age and gender, lifestyle profile membership was significantly associated with wellbeing, perceived stress, anxiety, and depressive symptoms (all p < .001), although effect sizes were small (partial η 2 = 0.009-0.016). The Active-Healthier profile showed the most favourable psychological pattern, whereas differences among the remaining three profiles were not statistically significant.
CONCLUSION: Health-related behaviours co-occur in multidimensional patterns among university students. Person-oriented profiling may help universities move beyond generic health promotion towards more targeted interventions that jointly address physical and mental health.