Physical fitness is mandatory for public safety officers. Police officers experience elevated levels of cardiovascular disease and associated risks making fitness a peak concern. Officers often have more marked fitness level decreases with aging compared to the general population. This cross-sectional study investigated the cardiovascular health, muscular strength/endurance, and mobility of officers in a medium-sized police department (N = 83); (4 females, 79 males), age (36.82 ± 10 years), height (179.02 ± 7.7 cm), body mass (95.1 ± 16.29 kg) compared to American College of Sports Medicine (ACSM) guidelines. The findings revealed that police officers begin their careers with above average strength but demonstrate greater declines with age than the general population. Officers also demonstrated cardiovascular fitness below ACSM standards and significant decreases with aging compared to the general population. Body fat percentages (p = 0.003) and BMI (p = 0.028) surpassed recommendations, with higher than normal increases with age. Maximum vertical jump decreased as officers age (p = 0.004). These findings support the implementation of a targeted physical fitness regimen and the resources for a program designed to improve current health and fitness, reduce the greater than expected decreases with aging, and aim to optimize occupational performance and the safeguarding of the lifelong health and well-being of officers.

The popularity of recreational ballroom dancing has increased dramatically in recent years. Yet, relatively little information is known regarding the physiological demands of ballroom dancing. The purpose of this study was to determine the energy requirements for recreational ballroom dancing. 24 participants volunteered including 12 women (mean ± SD: 21 ± 3 yrs, 165.8 ± 7.4 cm, 56.8 ± 11.1 kg) and 12 men (23 ± 1 yr, 175.5 ± 8.4 cm, 78.1 ± 15.6 kg). Gas exchange was recorded using a portable metabolic system during a series of five ballroom dances: Waltz, Foxtrot, Swing, Cha-Cha, and Swing. Each song was four minutes in duration, separated by a two minute rest period, totaling 30 minutes of testing. The intensity of each dance in metabolic equivalents (METs) is: Waltz = 5.3 ± 1.3, Foxtrot = 5.3 ± 1.5, Cha-Cha = 6.4 ± 1.6 and Swing = 7.1 ± 1.6 and 6.9 ± 1.7. Mean energy cost for the 30 minutes of testing was 5.88 ±1.7 kilocalories (kcal•min-1), 6.12 ± 1.2 METs. Mean energy cost and months of recreational dance experience were not significantly related (R2 = 0.04, p = 0.35). Energy expenditure of the follow partner was significantly related to the energy expenditure of the lead partner (R2 = 0.52, p <0.01). Finally, this study validates the intensity of recreational ballroom dance as matching the criteria established by the American College of Sports Medicine for improving cardiorespiratory fitness and reducing the risk of chronic diseases.

BACKGROUND: Strong evidence shows that an increase in cardiorespiratory fitness (CRF) and physical activity (PA) reduces cardiovascular disease risk.
OBJECTIVE: To test whether a scientifically endorsed program to increase CRF and PA, implemented on an easy-to-use, always-accessible mobile app would be effective in improving CRF.
METHODS: Of 63 healthy volunteers participating, 18 tested the user interface of the Cardio-Fitness App (CF-App); and 45 underwent a 2-week intervention period, of whom 33 eventually concluded it. These were assigned into three groups. The Step-based App (Step-App) group (n=8), followed 10,000 steps/day prescription, the CF-App group (n=13), and the Supervised Cardio-Fitness (Super-CF) group (n=12), both followed a heart rate (HR)-based program according to American College of Sports Medicine (ACSM) guidelines, but either implemented on the app, or at the gym, respectively. Participants were tested for CRF, PA, resting systolic and diastolic blood pressures (SBP, DBP), resting, exercise, and recovery HR.
RESULTS: CRF increased in all groups (+4.9%; P<.001). SBP decreased in all groups (-2.6 mm Hg; P=.03). DBP decrease was higher in the Super-CF group (-3.5 mm Hg) than in the Step-App group (-2.1 mm Hg; P<.001). Posttest exercise HR decreased in all groups (-3.4 bpm; P=.02). Posttest recovery HR was lower in the Super-CF group (-10.1 bpm) than in the other two groups (CF-App: -4.9 bpm, Step-App: -3.3 bpm; P<.001). The CF-App group, however, achieved these improvements with more training heart beats (P<.01).
CONCLUSIONS: A 10,000 steps/day target-based app improved CRF similar to an ACSM guideline-based program whether it was implemented on a mobile app or in supervised gym sessions.