OBJECTIVES: This study investigated associations between weather conditions, physical activity, and sedentary time in primary school-aged children in Australia and Canada. METHODS: Cross-sectional data on 9-11-year-old children from the Australian (n = 491) and Canadian (n = 524) sites of the International Study of Childhood Obesity, Lifestyle and the Environment were used. Minutes of daily moderate-to-vigorous-physical-activity (MVPA) and sedentary time were determined from 7-day, 24-h accelerometry (Actigraph GT3X+ triaxial accelerometer). Day-matched weather data (temperature, rainfall, snowfall, relative humidity, wind speed) were obtained from the closest weather station to participants' schools. Covariates included parental highest education level, day type, sex, and BMI z-scores. Generalized mixed model analyses allowing for clustering of participants within schools were completed. Scatterplots with Loess curves were created for maximum temperature, MVPA, and sedentary time. RESULTS: Daily maximum temperature was significantly associated with MVPA and sedentary time in Australia (MVPA p = .05, sedentary p = .01) and Canada (p < .001, p = .001). Rainfall was negatively associated with MVPA in Australia (p < .001) and positively associated with sedentary time in Canada (p = .02). CONCLUSIONS: MVPA and sedentary time appear to be optimal when the maximum temperature ranges between 20°C and 25°C in both countries. The findings have implications for study design and interpretation for surveillance and intervention studies.
OBJECTIVES: This study investigated associations between weather conditions, physical activity, and sedentary time in primary school-aged children in Australia and Canada. METHODS: Cross-sectional data on 9-11-year-old children from the Australian (n = 491) and Canadian (n = 524) sites of the International Study of Childhood Obesity, Lifestyle and the Environment were used. Minutes of daily moderate-to-vigorous-physical-activity (MVPA) and sedentary time were determined from 7-day, 24-h accelerometry (Actigraph GT3X+ triaxial accelerometer). Day-matched weather data (temperature, rainfall, snowfall, relative humidity, wind speed) were obtained from the closest weather station to participants' schools. Covariates included parental highest education level, day type, sex, and BMI z-scores. Generalized mixed model analyses allowing for clustering of participants within schools were completed. Scatterplots with Loess curves were created for maximum temperature, MVPA, and sedentary time. RESULTS: Daily maximum temperature was significantly associated with MVPA and sedentary time in Australia (MVPA p = .05, sedentary p = .01) and Canada (p < .001, p = .001). Rainfall was negatively associated with MVPA in Australia (p < .001) and positively associated with sedentary time in Canada (p = .02). CONCLUSIONS: MVPA and sedentary time appear to be optimal when the maximum temperature ranges between 20°C and 25°C in both countries. The findings have implications for study design and interpretation for surveillance and intervention studies.
Authors: Dorothea Dumuid; Carol Maher; Lucy K Lewis; Tyman E Stanford; Josep Antoni Martín Fernández; Julie Ratcliffe; Peter T Katzmarzyk; Tiago V Barreira; Jean-Philippe Chaput; Mikael Fogelholm; Gang Hu; José Maia; Olga L Sarmiento; Martyn Standage; Mark S Tremblay; Catrine Tudor-Locke; Timothy Olds Journal: Qual Life Res Date: 2018-01-23 Impact factor: 4.147
Authors: Chiaki Tanaka; Masayuki Okuda; Maki Tanaka; Shigeru Inoue; Shigeho Tanaka Journal: Int J Environ Res Public Health Date: 2018-09-13 Impact factor: 3.390