The present study evaluated a measure of perceived physical environments that may influence physical activity. Forty-three self-report items were used to assess environmental variables at homes, in neighborhoods, or on frequently traveled routes. The presence of facilitators of (e.g., equipment, programs, attractive surroundings) and barriers to (e.g., high crime) physical activity was assessed. In 110 college students, test-retest reliabilities were .89 for the home equipment scale, .68 for the neighborhood scale, and .80 for the convenient facilities scale. Home equipment and convenient facilities scales were correlated with self-reported physical activity. In multiple regression analyses, the only significant association, after adjusting for neighborhood socioeconomic status, was home equipment with strength exercise. Further research is needed to identify other environmental characteristics that may influence physical activity.

This study is registered at ClinicalTrials.gov with clinical trial registration number NCT02188875. AbstractBackground: Studies have shown self-monitoring can modify health behaviors, including physical activity (PA). This study tested the utility of a wearable sensor/device (Fitbit Ò OneÔ;

In the sample, which included female adolescents and young adults participating in competitive or recreational exercise activities, the risk of BSIs increased from approximately 15% to 20% for significant single risk factors to 30% to 50% for significant combined female athlete triad-related risk factor variables. These data support the notion that the cumulative risk for BSIs increases as the number of Triad-related risk factors accumulates.

Objective: To estimate the prevalence of the female athlete triad (disordered eating, menstrual irregularity, and low bone mass) among high school athletes.Design: Observational cross-sectional study.Setting: High school.Participants: Female athletes (n= 170) representing 8 sports were recruited from 6 high schools in southern California.Main Outcome Measures: Disordered eating and menstrual status were determined by interviewer-assisted questionnaires.Bonemineraldensitywasmeasuredbydual-energy x-rayabsorptiometryofthehip,spine(L1-L4),andtotalbody.Results: Among all athletes, 18.2%, 23.5%, and 21.8% met the criteria for disordered eating, menstrual irregularity, and low bone mass, respectively. Ten girls (5.9%) met criteria for 2 components of the triad, and 2 girls (1.2%) met criteria for all 3 components. Oligomenorrheic/amenorrheic athletes had higher mean ±SD eating restraint (1.55 ± 1.60 vs 1.04 ± 1.27; P = .02) and Eating Disorder Examination Questionnaire global scores (1.68 ± 1.20 vs 1.33 ± 1.14; P = .03) than eumenorrheic athletes. After controlling for age, age at menarche, body mass index, race/ethnicity, and sport type, athletes with oligomenorrhea/amenorrhea had significantly lower mean ± SD bone mineral densities for the trochanter (0.884 ± 0.090 g · cm −2 ) than eumenorrheic athletes (0.933±0.130 g·cm −2 ; P =.04). Conclusions:The prevalence of the full female athlete triad was low in our sample; however, a substantial percentage of the athletes may be at risk for long-term health consequences associated with disordered eating, menstrual irregularity, or low bone mass. Preparticipation screening to identify these components should be encouraged as a preventive approach to identify high-risk athletes.

Seventy six women (89.4%) completed the intervention. Independent t-test to evaluate group differences at 16 weeks showed significant differences in weight, body mass index, percent fat, trunk fat, leg fat, as well as waist and hip circumference between intervention and control groups (P