Greater variability in daily physical activity is associated with poorer mental health profiles among obese adults

This study employed a novel two-stage data analysis approach using the standalone program MIXWILD. The first-stage model partitioned mean level as well as between-subject and within-subject variances in daily PA by estimating a random location (subject-level mean) and a random scale (subject-level variability) for daily PA. In the second-stage, these random subject effects for daily PA along with their interactions with BMI were used as predictors for subject-level mental health outcomes. Associations between subject-level variability in daily PA and mental health outcomes significantly differed depending on adults’ BMI (life satisfaction: β = −0.05, p < 0.05; depressive symptoms: β = 0.03, p < 0.05; perceived stress: β = 0.04, p < 0.01). Greater day-to-day variability in PA was associated with poorer mental health in adults with higher BMI values as compared to adults with lower BMI. For individuals with high BMI values, inconsistent activity patterns may have consequences that diminish mental health. Strategies that promote consistency in daily PA may be useful for individuals with high BMI to enhance mental health.
Source: Mental Health and Physical Activity - Category: Psychiatry & Psychology Source Type: research