The Effect of a Group Physical Activity Program on Behavior of Incarcerated Youth.

Behavioral health challenges are more prevalent in incarcerated youth than in the general youth population. Questions remain regarding whether physical activity programs can reduce behavioral health challenges in incarcerated youth. Data were available for 1,285 youths incarcerated between January 2017 and December 2018. The structured exercise program was implemented in January 2018. Primary outcomes were numbers of use of force (UoF) and of program modifications (PMs) indicative of delinquent behavior in pre- and post-exercise implementation periods. Rates per 1,000 person-days for UoF (10.0 in 2017 vs. 7.4 in 2018) and for PMs (36.7 vs. 22.9) were statistically different. For youths incarcerated both years, rates per 1,000 person-days for UoF (12.3 vs. 7.9), and for PMs (43.3 vs. 23.5) were statistically different. There was a reduction in behavior modifications in incarcerated youths after implementing the exercise program, but further studies are needed to confirm these results.

Implementation of a Physical Activity Vital Sign in Primary Care: Associations Between Physical Activity, Demographic Characteristics, and Chronic Disease Burden.

INTRODUCTION: Physical activity is important to prevent and manage multiple chronic medical conditions. The objective of this study was to describe the implementation of a physical activity vital sign (PAVS) in a primary care setting and examine the association between physical activity with demographic characteristics and chronic disease burden. METHODS: We extracted data from the electronic medical records of patients who had visits from July 2018 through January 2020 in a primary care clinic in which PAVS was implemented as part of the intake process. Data collected included self-reported physical activity, age, sex, body mass index, race, ethnicity, and a modified Charlson Comorbidity Index score indicating chronic disease burden. We classified PAVS into 3 categories of time spent in moderate to strenuous intensity physical activity: consistently inactive (0 min/wk), inconsistently active (<150 min/wk), and consistently active (≥150 min/wk). We used χ2 tests of independence to test for association between PAVS categories and all other variables. RESULTS: During the study period, 13,704 visits, corresponding to 8,741 unique adult patients, had PAVS recorded. Overall, 18.1% of patients reported being consistently inactive, 48.3% inconsistently active, and 33.7% consistently active. All assessed demographic and clinical covariates were associated with PAVS classification (all P < .001). Larger percentages of consistent inactivity were reported for female, older, and underweight or obese patients. Larger percentages of consistent activity were reported for male, younger, and normal weight or overweight patients. CONCLUSION: Using PAVS as a screening tool in primary care enables physicians to understand the physical activity status of their patients and can be useful in identifying inactive patients who may benefit from physical activity counseling.