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Start Over Descriptor "weather elements" Topic accelerometer
2 results on '"weather elements"'

1. Daily Weather and Children's Physical Activity Patterns.

Author

Remmers, Teun, Thijs, Carel, Timperio, Anna, Salmon, Jo, Veitch, Jenny, Kremerr, Stef P. J., and Ridgers, Nicola D.

Subjects
*ACCELEROMETERS, *AGE distribution, *BAROCLINICITY, *HUMIDITY, *LONGITUDINAL method, *SCHOOL children, *SEASONS, *SEX distribution, *TEMPERATURE, *WEATHER, *BODY mass index, *PHYSICAL activity, *STATISTICAL models, *DESCRIPTIVE statistics
Abstract

Introduction: Understanding how the weather affects physical activity (PA) may help in the design, analysis, and interpretation of future studies, especially when investigating PA across diverse meteorological settings and with long follow-up periods. The present longitudinal study first aims to examine the influence of daily weather elements on intraindividual PA patterns among primary school children across four seasons, reflecting day-to-day variation within each season. Second, we investigate whether the influence of weather elements differs by day of the week (weekdays vs weekends), gender, age, and bodymass index. Method: PA data were collected by ActiGraph accelerometers for 1 wk in each of four school terms that reflect each season in southeast Australia. PA data from 307 children (age range 8.7-12.8 yr) were matched to daily meteorological variables obtained from the Australian Government's Bureau of Meteorology (maximum temperature, relative humidity, solar radiation, day length, and rainfall). Daily PA patterns and their association with weather elements were analyzed using multilevel linear mixed models. Results: Temperature was the strongest predictor of moderate and vigorous PA, followed by solar radiation and humidity. The relation with temperature was curvilinear, showing optimum PA levels at temperatures between 20-C and 22-C. Associations between weather elements on PA did not differ by gender, child's age, or body mass index. Conclusions: This novel study focused on the influence of weather elements on intraindividual PA patterns in children. As weather influences cannot be controlled, knowledge of its effect on individual PA patterns may help in the design of future studies, interpretation of their results, and translation into PA promotion. [ABSTRACT FROM AUTHOR]

Published
2017
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2. Daily Weather and Children's Physical Activity Patterns

Author

Jo Salmon, Nicola D. Ridgers, Teun Remmers, Stef P. J. Kremers, Anna Timperio, Carel Thijs, Jenny Veitch, Remmers, Teun, Thijs, Carel, Timperio, Anna, Salmon, Jo, Veitch, Jenny, Kremers, Stef PJ, Ridgers, Nicola D, RS: CAPHRI - R5 - Optimising Patient Care, Promovendi PHPC, Epidemiologie, RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, Health promotion, and RS: NUTRIM - R1 - Metabolic Syndrome

Subjects
Longitudinal study, Future studies, IMPACT, Rain, Overweight, Body Mass Index, 0302 clinical medicine, intraindividual, ADOLESCENTS, MODERATION, Orthopedics and Sports Medicine, 030212 general & internal medicine, Longitudinal Studies, RAINFALL, Child, child, moderation, SEDENTARY BEHAVIOR, Age Factors, Temperature, Sedentary behavior, Moderation, TIME, Geography, YOUTH, Sunlight, Seasons, medicine.symptom, WEATHER ELEMENTS, SEASONAL-VARIATION, PARTICIPATION, Physical activity, METEOROLOGY, Physical Therapy, Sports Therapy and Rehabilitation, 03 medical and health sciences, Sex Factors, ACCELEROMETER, Environmental health, medicine, Humans, meteorology, INTRAINDIVIDUAL, Exercise, Weather, OVERWEIGHT, Interpretation (philosophy), Australia, Humidity, 030229 sport sciences, accelerometer, SCHOOL
Abstract

Refereed/Peer-reviewed Introduction: Understanding how the weather affects physical activity (PA) may help in the design, analysis, and interpretation of future studies, especially when investigating PA across diverse meteorological settings and with long follow-up periods. The present longitudinal study first aims to examine the influence of daily weather elements on intraindividual PA patterns among primary school children across four seasons, reflecting day-to-day variation within each season. Second, we investigate whether the influence of weather elements differs by day of the week (weekdays vs weekends), gender, age, and bodymass index. Method: PA data were collected by ActiGraph accelerometers for 1 wk in each of four school terms that reflect each season in southeast Australia. PA data from 307 children (age range 8.7-12.8 yr) were matched to daily meteorological variables obtained from the Australian Government" s Bureau of Meteorology (maximum temperature, relative humidity, solar radiation, day length, and rainfall). Daily PA patterns and their association with weather elements were analyzed using multilevel linear mixed models. Results: Temperature was the strongest predictor of moderate and vigorous PA, followed by solar radiation and humidity. The relation with temperature was curvilinear, showing optimum PA levels at temperatures between 20 degrees C and 22 degrees C. Associations between weather elements on PA did not differ by gender, child" s age, or body mass index. Conclusions: This novel study focused on the influence of weather elements on intraindividual PA patterns in children. As weather influences cannot be controlled, knowledge of its effect on individual PApatternsmay help in the design of future studies, interpretation of their results, and translation into PA promotion.

Published
2017

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