outdoor activities, and the implications of these interactions for health and father-child relationships. Although outdoor activities may not be physical activities per se, they are often contrasted with sedentary indoor activities such as watching television and playing video games ( Booker et al., 2015
Chris Knoester and Theo Randolph
Kazuo Inoue, Teiji Shono and Masatoshi Matsumoto
The primary objective of this study was to determine whether the absence of outdoor activities is associated with an increased risk of mortality among elderly people living at home. In January 1995, the authors enrolled 863 household residents, 65 years old and older, who were able to fully understand and complete a baseline interview unassisted. Participant demographics, functional capabilities, activities of daily living, and three dimensions of outdoor activities (initiative, transport, and frequency) were examined. Cohort mortality was assessed through December 1999. Of the 863 participants, 139 (16.1%) died within the study observation period. After adjusting for gender and age, three dimensions of functional impairment (vision, hearing, and speech), impairment in activities of daily living, and all three dimensions of outdoor activities were predictive of 5-year mortality. In multivariate analysis, these three dimensions remained as explanatory variables for mortality at 5 years. Assessment of outdoor-activity levels can help identify elderly individuals with greater mortality risk.
Paolo Menaspà, Franco M. Impellizzeri, Eric C. Haakonssen, David T. Martin and Chris R. Abbiss
To determine the consistency of commercially available devices used for measuring elevation gain in outdoor activities and sports.
Two separate observational validation studies were conducted. Garmin (Forerunner 310XT, Edge 500, Edge 750, and Edge 800; with and without elevation correction) and SRM (Power Control 7) devices were used to measure total elevation gain (TEG) over a 15.7-km mountain climb performed on 6 separate occasions (6 devices; study 1) and during a 138-km cycling event (164 devices; study 2).
TEG was significantly different between the Garmin and SRM devices (P < .05). The between-devices variability in TEG was lower when measured with the SRM than with the Garmin devices (study 1: 0.2% and 1.5%, respectively). The use of the Garmin elevation-correction option resulted in a 5–10% increase in the TEG.
While measurements of TEG were relatively consistent within each brand, the measurements differed between the SRM and Garmin devices by as much as 3%. Caution should be taken when comparing elevation-gain data recorded with different settings or with devices of different brands.
Florian Herbolsheimer, Stephanie Mosler, Richard Peter and the ActiFE Ulm Study Group
accelerometer recorded less than 24 hr a day. Average physical activity time was calculated as total walking duration divided by the number of valid days, and was expressed as minutes per day. Outdoor activity diary An outdoor activity diary supplemented accelerometer estimates in order to distinguish outdoor
Mirko Brandes, Berit Steenbock and Norman Wirsik
estimate the RMR by indirect calorimetry. The local ethics committee of the Bremen University approved the procedures of the study. Activities After estimating RMR, the children performed up to 9 indoor and outdoor activities, starting with the indoor activities. Of the 9 activities, 5 covering light- to
Robin C. Puett, Dina Huang, Jessica Montresor-Lopez, Rashawn Ray and Jennifer D. Roberts
participation. Physical Activity and Active Play Questions assessing the frequency (≤once/mo vs ≥2 times/mo) of equipment use for indoor and outdoor activities included use of active video games (AVG); bicycles; skating equipment (eg, skateboards, roller blades); and fixed play equipment (eg, jungle gym). The
Meke Mukeshi, Bernard Gutin, William Anderson, Patricia Zybert and Charles Basch
The validity of the Caltrac movement sensor for use with preschool children was assessed. Caltrac-derived values for energy expenditure were compared with those derived via laborious coding of direct observation that involved classification of the child’s videotaped activity every other 5 seconds for an hour in the day-care center or on the playground. Both Caltrac and direct observation values were expressed in kilocalories. The subjects were 20 children with a mean age of 35 months. The correlation coefficient for the total of indoor and outdoor activity was r= .62 (p<.01). The separate correlations for indoor and outdoor activity were r=.56 (p<.05) and r=.48 (p<.05), respectively. However, when the children’s weight, height, age, and sex were factored out of both the Caltrac and direct observation scores, the correlations fell to r= .25 (n.s.), r= .47 (p<.05), and r=.16 (n.s.) for the total, indoor, and outdoor activity, respectively. Thus the Caltrac seemed to record indoor activity (mainly walking) more accurately than it recorded the more varied playground movements, casting doubt on its value as a means of measuring physical activity in children 2-3 years of age.
Karla A. Henderson and M. Deborah Bialeschki
The purpose of this research was to explore the meanings of women’s involvement in physical recreation. Although much has been written about girls’ and women’s involvement in competitive athletics, less is known about the everyday physical involvement of women who are committed to fitness activities, recreational sports, and/or outdoor activities. Data from indepth interviews were collected from 29 participants in physical activity. A process of “constant comparison” was used to develop conclusions about the social psychological meanings of physical recreation. Physical recreation was analyzed in relation to three themes: the setting and structures associated with physical activity, the worth of physical activity, and the means for negotiating opportunities for participation. The gendered meanings associated with physical recreation provided further social psychological and sociological understandings of the recreation choices and multilayered reality of women’s lives.
Samantha McDonald, Marsha Dowda, Natalie Colabianchi, Dwayne Porter, Rod K. Dishman and Russell R. Pate
Previous research suggests the neighborhood environment may be an important influence on children’s physical activity (PA) behaviors; however, findings are inconsistent. The purpose of this study was to further understand the relationship between perceptions of the neighborhood environment and children’s afterschool moderate-to-vigorous PA. Utilizing a structural equation modeling technique, we tested a conceptual model linking parent and child perceptions of the neighborhood environment, parent support for PA, and child outdoor PA with children’s afterschool moderate-to vigorous PA. We found that child perception of the neighborhood environment and outdoor PA were positively associated with afterschool moderate-to-vigorous PA. In addition, parent support for PA positively influenced children’s outdoor PA. The neighborhood environment and outdoor activity appear to play an influential role on children’s afterschool PA behaviors.
J. Jimenez-Pardo, J.D. Holmes, M.E. Jenkins and A.M. Johnson
Physical activity is generally thought to be beneficial to individuals with Parkinson’s disease (PD). There is, however, limited information regarding current rates of physical activity among individuals with PD, possibly due to a lack of well-validated measurement tools. In the current study we sampled 63 individuals (31 women) living with PD between the ages of 52 and 87 (M = 70.97 years, SD = 7.53), and evaluated the amount of physical activity in which they engaged over a 7-day period using a modified form of the Physical Activity Scale for Individuals with Physical Disabilities (PASIPD). The PASIPD was demonstrated to be a reliable measure within this population, with three theoretically defensible factors: (1) housework and home-based outdoor activities; (2) recreational and fitness activities; and (3) occupational activities. These results suggest that the PASIPD may be useful for monitoring physical activity involvement among individuals with PD, particularly within large-scale questionnaire-based studies.