ABSTRACT
The purpose of this study was to evaluate the mediation effect of sexting, and taking sexually suggestive photos on religiosity and hooking-up with three separate sexual outcomes. A web-based survey examined the relationship between religiosity and the three hooking-up outcomes among students reporting sexting or taking a sexually suggestive photo in the last 30 days (n = 231). Sexting, as well as taking sexually suggestive photos mediated the relationship between religiosity and hooking-up among females. Sexting may be initiated by females as a way to engage in a nonphysical sexual interaction, which ultimately predisposes them to a physical sexual outcome.
Subject(s)
Sexual Behavior , Spirituality , Students/psychology , Text Messaging , Female , Humans , Male , Religion and Psychology , Surveys and Questionnaires , UniversitiesABSTRACT
This study explores the relationship between organizational health climate and worksite health promotion program participation, specifically engaging individuals who are unlikely to make positive health behavior choices on their own. Participants consisted of employees at three separate furniture-manufacturing facilities completing a voluntary survey. Using responses (n = 349) from the health climate instrument, which is a measure of the collective attitudes, beliefs, and readiness to change a health behavior, this study identified two factors that were significant contributors to worksite health promotion program participation. Health norms, the collective attitudes regarding healthy lifestyle, as measured by the subscales-health scale and intention to make a behavior change-and "optimistic bias," the overassessment of one's personal health, were found to be predictors of participation. Additionally, significant (p < .05) predictors of self-assessed health, included perceived control to initiate, competence to carry out, and the organizational support of the health behavior change. The findings suggest that the organization's health norms and self-assessed health are associated with the worker's motivation to become involved with health promotion interventions. Offering worksite health screenings and advanced programming and creating a culture of health at work can help address program participation.
Subject(s)
Attitude to Health , Community Participation , Health Behavior , Health Promotion/organization & administration , Occupational Health Services/organization & administration , Adult , Female , Humans , Industry , Male , Reproducibility of Results , Surveys and Questionnaires , United StatesABSTRACT
BACKGROUND: This study examined the validity of a selected free pedometer application (iPedometer; IP) for the iPhone that could be used to assess physical activity. METHODS: Twenty college students (10 men, 10 women; mean age: 21.85 ± 1.57 yrs) wore an iPhone at 3 locations (pocket, waist, arm) and a StepWatch 3 Step Activity Monitor (SW) on their right ankle while walking on a treadmill at 5 different speeds (54, 67, 80, 94, 107 m·min(-1)). A research assistant counted steps with a tally counter (TC). RESULTS: Statistical significance between the TC, SW, and IP was found during every condition except IP in the pocket at 107 m·min(-1) (F(2,38) = .64, P = .54). Correlations involving the IP revealed only 1 positive correlation (IP on arm at 54 m·min(-1)) for any of the conditions (r = .46, P = .05). CONCLUSION: The IP application was not accurate in counting steps and recorded significantly lower step counts than the SW and TC. Thus, the free pedometer application used is not a valid instrument for monitoring activity during treadmill walking.
Subject(s)
Actigraphy/instrumentation , Cell Phone , Search Engine , Software/standards , Exercise Test/methods , Female , Humans , Male , Walking , Young AdultABSTRACT
BACKGROUND: This 2-part study examined validity of selected motion sensors for assessing physical activity in older adults residing in assisted-living communities. METHODS: Twenty-one older adults (mean age = 78.6 +/- 13.1 years) wore the StepWatch 3 Step Activity Monitor (SW3) and the Yamax Digi-Walker SW-200 pedometer (DW). Part I compared accuracy of these devices for measuring steps taken over 161 m. Part II compared devices over a 1-day (24-hour) period. RESULTS: In part I, the DW recorded 51.9% (r2 = -.08, P = .75) and the SW3 recorded 102.6% (r2 = .99, P < .001) of steps. In part II, the DW measured significantly fewer steps (1587 +/- 1057 steps) than did the SW3 (6420 +/- 3180 steps). CONCLUSIONS: The SW3 pedometer was more accurate in counting steps and recorded higher 24-hour step counts than the DW pedometer. Thus, the SW3 is a valid research instrument for monitoring activity in the assisted-living population.
