Psychobiological factors influencing physical activity and body composition in young adults: Chronotype and food addiction.

Physical activity showed a modest positive association with BMI in the regression model but no direct relationship with body fat percentage.

• Beta coefficient for physical activity predicting BMI was β = .198
• No direct relationship was observed between physical activity and body fat percentage
• Physical activity was measured using the Physical Activity Scale-2 (PAS-2)
• Body composition was evaluated using bioelectrical impedance analysis (BIA)

Evening chronotypes demonstrated higher BMI and visceral adiposity compared with morning and intermediate chronotypes.

• Evening chronotypes showed a less favourable adiposity profile relative to morning and intermediate types
• Chronotype was measured with the Morningness-Eveningness Questionnaire (MEQ)
• The study sample consisted of 582 university students (294 women, 288 men; mean age 20.78 ± 2.69 years)
• The design was cross-sectional

Food addiction did not display a linear correlation with body composition, but individuals reporting ≥3 symptoms showed slightly higher BMI values.

• No linear correlation was found between food addiction and body composition measures
• Participants reporting ≥3 food addiction symptoms had slightly higher BMI values
• Food addiction was measured with the Yale Food Addiction Scale (YFAS)
• Statistical analyses included descriptive tests, independent t-tests, correlation, and multiple regression

Physical activity, chronotype, and food addiction collectively accounted for 8.7% of the variance in BMI.

• The combined R² for the final regression model predicting BMI was .087
• The authors described this as a 'limited yet meaningful contribution'
• The model included physical activity, chronotype, and food addiction as predictors
• The sample comprised 582 university students assessed using a cross-sectional design