An injury care clinic (ICC) as part of a comprehensive campus-wide healthcare system is a cost-effective way to optimize the flow of patient care utilizing a collaborative model of healthcare in a time of physician shortage. Services include: basic first aid, injury evaluation, acute injury care, basic rehabilitation, preventative techniques including taping and stretching, and professional referrals. The ICC provides care to previously underserved campus community members, focusing on: club sport and intramural athletes, recreation center users, and the general student body, in addition to faculty and staff, going beyond the varsity athlete. The ICC functions through the efforts of athletic trainers, physicians, fitness specialists, administrators, faculty, and students across disciplines. After 3 years, the clinic has serviced more than 2,500 unique patients exceeding 4,800 patient encounters, demonstrating outcomes that access to affordable healthcare options with a licensed healthcare provider are warranted and needed.
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Shari D. Bartz-Smith and Amy Campbell
Katie Smith, L. Lanningham-Foster, Amy Welch, and Christina Campbell
Background:
Innovative methods are warranted to optimize prenatal outcomes. This study’s objective was to determine if a web-based behavioral intervention (BI) can prevent excessive gestational weight gain (GWG) by increasing physical activity (PA).
Methods:
Participants were randomized to usual care (UC; n = 21) or BI (n = 24) between 10 to 14 weeks gestation. GWG, PA, and diet were assessed at baseline, mid-, and late pregnancy.
Results:
No differences in GWG or adherence to GWG recommendations presented between groups. Total UC MET-minutes significantly decreased from baseline to late-pregnancy (1,234 ± 372 MET-minutes, P = .013). Mid-pregnancy sustained PA was greater for BI than UC (20-minute PA bouts: 122 ± 106 vs. 46 ± 48 minutes/week, P = .005; 30-minute PA bouts: 74 ± 70 vs. 14 ± 24 minutes/week, P < .001), and greater for BI at mid-pregnancy compared with baseline (20-minute PA bouts: 61.3 ± 21.9; 30-minute PA bouts: 39.6 ± 14.8, both P < .05). BI energy intake at mid-pregnancy significantly increased from baseline (336 ± 127 kcals, P = .04) and was significantly greater than UC (2,503 ± 703 vs. 1,894 ± 594, P = .005).
Conclusions:
Sedentary pregnant women should increase PA but may need additional dietary counseling to prevent excessive GWG.
Jacqueline L. Mair, Lawrence D. Hayes, Amy K. Campbell, and Nicholas Sculthorpe
Researchers, practitioners, and public health organizations from around the world are becoming increasingly interested in using data from consumer-grade devices such as smartphones and wearable activity trackers to measure physical activity (PA). Indeed, large-scale, easily accessible, and autonomous data collection concerning PA as well as other health behaviors is becoming ever more attractive. There are several benefits of using consumer-grade devices to collect PA data including the ability to obtain big data, retrospectively as well as prospectively, and to understand individual-level PA patterns over time and in response to natural events. However, there are challenges related to representativeness, data access, and proprietary algorithms that, at present, limit the utility of this data in understanding population-level PA. In this brief report we aim to highlight the benefits, as well as the limitations, of using existing data from smartphones and wearable activity trackers to understand large-scale PA patterns and stimulate discussion among the scientific community on what the future holds with respect to PA measurement and surveillance.
