Prevalence of and Contributors to Food Insecurity among College Athletes: A Scoping Review.

Given the financial demands of attending college, the transition to new living situations, abrupt changes in social support, and overall lifestyle adjustments, college students are at an increased risk of food insecurity (FI) compared to the general population. Collegiate athletes experience an even greater risk of FI as a result of greater time commitments and energy demands associated with their sports. This heightened vulnerability poses a tremendous threat to student-athletes' academic and athletic achievements. This study aims to address the prevalence and primary determinants of FI among collegiate athletes while providing potential solutions to navigate and alleviate the effects of diminished food security among this demographic. To address these aims, a total of 18 articles were selected from both peer-reviewed and gray literature. The U.S. Household Food Security Survey Module (US-HFSSM) survey tools were predominantly utilized across universities throughout the United States to gather data on FI. Student-athletes reported experiencing FI across various regions of the United States, including universities in the northeastern states (n = 5), the southwest region (n = 3), the southeast region (n = 3), the northwest (n = 1), and the Midwest (n = 1). Overall, FI prevalence rates ranged from 9.9% to 65%, and the most significant contributors included limited financial resources, time management, meal plans, and housing location/amenities. These findings highlight a need for screening, education, and interventions to address FI among collegiate athletes.

Emergence of imaging technology beyond the clinical setting: Utilization of mobile health tools for at-home testing.

Body composition assessment plays a pivotal role in understanding health, disease risk, and treatment efficacy. This narrative review explores two primary aspects: imaging techniques, namely ultrasound (US) and dual-energy x-ray absorptiometry (DXA), and the emergence of artificial intelligence (AI) and mobile health apps in telehealth for body composition. Although US is valuable for assessing subcutaneous fat and muscle thickness, DXA accurately quantifies bone mineral content, fat mass, and lean mass. Despite their effectiveness, accessibility and cost remain barriers to widespread adoption. The integration of AI-powered image analysis may help explain tissue differentiation, whereas mobile health apps offer real-time metabolic monitoring and personalized feedback. New apps such as MeThreeSixty and Made Health and Fitness offer the advantages of clinic-based imaging techniques from the comfort of home. These innovations hold the potential for individualizing strategies and interventions, optimizing clinical outcomes, and empowering informed decision-making for both healthcare professionals and patients/clients. Navigating the intricacies of these emerging tools, critically assessing their validity and reliability, and ensuring inclusivity across diverse populations and conditions will be crucial in harnessing their full potential. By integrating advancements in body composition assessment, healthcare can move beyond the limitations of traditional methods and deliver truly personalized, data-driven care to optimize well-being.

Sedentary behavior in adults with visual impairments.

BACKGROUND: Specific sedentary behaviors (SB) are associated with risk factors for preventable chronic health conditions in adults, yet time participating in SB has increased over the years. OBJECTIVE: To explore the SB habits of individuals with visual impairments (VI) and the relationship with self-reported visual acuity (VA). METHODS: Individuals participated in this cross-sectional study by completing the Patient-centered Assessment & Counseling for Exercise (PACE+) Sedentary Behavior Questionnaire (SBQ) for adults to assess estimated time spent in nine SB. Means and frequencies of SB were conducted and 2 × 4 ANOVAs were used to explore differences in SB by gender and VA. RESULTS: Seventy-one men (36.1 ± 14.2 yrs; 28.5 ± 6.7 kg/m(2)) and sixty-nine women (35.9 ± 12.3 yrs; 29 ± 8.3 kg/m(2)) with VI participated in this study. Individuals reported spending most time watching television (TV), traveling, and doing paperwork/computer work. Participants spent 9.95 ± 4.78 h per day engaging in SB during the week and 8.53 ± 4.29 h per day on the weekend. Significant differences were found between VA for reading on weekdays (B1 = 1.41 ± 1.81 vs. B4 = 0.42 ± 0.60 h/day) and weekend days (B1 = 1.55 ± 1.75 vs. B4 = 0.48 ± 0.67 h/day), as well as for watching TV on the weekends (B4 = 2.69 ± 1.61 vs. B1 = 1.39 ± 1.52 h/day). CONCLUSIONS: When reducing SB it may be important to target specific SB based upon the individual. Programs that support the reduction of SB must be encouraged.

Crossfit-based high-intensity power training improves maximal aerobic fitness and body composition.

The purpose of this study was to examine the effects of a crossfit-based high-intensity power training (HIPT) program on aerobic fitness and body composition. Healthy subjects of both genders (23 men, 20 women) spanning all levels of aerobic fitness and body composition completed 10 weeks of HIPT consisting of lifts such as the squat, deadlift, clean, snatch, and overhead press performed as quickly as possible. Additionally, this crossfit-based HIPT program included skill work for the improvement of traditional Olympic lifts and selected gymnastic exercises. Body fat percentage was estimated using whole-body plethysmography, and maximal aerobic capacity (VO2max) was measured by analyzing expired gasses during a Bruce protocol maximal graded treadmill test. These variables were measured again after 10 weeks of training and compared for significant changes using a paired t-test. Results showed significant (p < 0.05) improvements of VO2max in men (43.10 ± 1.40 to 48.96 ± 1.42 ml · kg · min) and women (35.98 ± 1.60 to 40.22 ± 1.62 ml · kg · min) and decreased body fat percentage in men (22.2 ± 1.3 to 18.0 ± 1.3) and women (26.6 ± 2.0 to 23.2 ± 2.0). These improvements were significant across all levels of initial fitness. Significant correlations between absolute oxygen consumption and oxygen consumption relative to body weight was found in both men (r = 0.83, p < 0.001) and women (r = 0.94, p < 0.001), indicating that HIPT improved VO2max scaled to body weight independent of changes to body composition. Our data show that HIPT significantly improves VO2max and body composition in subjects of both genders across all levels of fitness.