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.
Kazuo Inoue, Teiji Shono and Masatoshi Matsumoto
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.
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.
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.
Stephanie Mazzucca, Derek Hales, Kelly R. Evenson, Alice Ammerman, Deborah F. Tate, Diane C. Berry and Dianne S. Ward
Background: Physical activity has many benefits for young children’s health and overall development, but few studies have investigated how early care and education centers allot time for physical activity, along with measured individual physical activity levels for indoor/outdoor activities during a typical day. Methods: Fifty early care and education centers in central North Carolina participated in 4 full-day observations, and 559 children aged 3–5 years within centers wore accelerometers assessing physical activity during observation days. Observation and physical activity data were linked and analyzed for associations between child activity and type of classroom activity. Results: Children averaged 51 (13) minutes per day of moderate to vigorous physical activity and 99 (18) minutes per day of light physical activity while in child care. Children averaged 6 (10) and 10 (13) minutes per day of observed outdoor and indoor daily teacher-led physical activity, respectively. Outdoor time averaged 67 (49) minutes per day, and physical activity levels were higher during outdoor time than during common indoor activities (center time, circle time, and TV time). Conclusions: Physical activity levels varied between indoor and outdoor class activities. Policy and program-related efforts to increase physical activity in preschoolers should consider these patterns to leverage opportunities to optimize physical activity within early care and education centers.
M. Papiol, M. Serra-Prat, J. Vico, N. Jerez, N. Salvador, M. Garcia, M. Camps, X. Alpiste and J. López
To determine the prevalence of five physical frailty phenotype components and to assess the relationship between them and other clinical factors.
A population-based cross-sectional study was performed. Subjects 75 years and older were randomly selected from primary care databases (with sampling stratified by gender). Physical frailty phenotypes were assessed using Fried’s criteria. Sociodemographic data, comorbidities, nutritional status, and functional capacity were assessed.
126 subjects were recruited (47% women). Prevalence rates were poor muscle strength: 50%; low physical activity: 29%; slow gait: 28%; exhaustion: 27%; and weight loss: 5%. Prefrailty and frailty prevalence rates were 35.7% and 29.4%, respectively. Poor muscle strength and low physical activity showed a close relationship and concordance (kappa = 0.92). Most frailty components were associated with outdoor activity, hours walked daily, and certain comorbidities.
Poor muscle strength was the most prevalent frailty component and was closely associated with physical activity, suggesting that training programs may revert or prevent the frailty process.