levels and sociodemographic correlates of accelerometer-based physical activity in Irish children: a cross-sectional study

Li, Xia; Kearney, Patricia M.; Keane, E; Harrington, Janas M.; Fitzgerald, Anthony P.

doi:10.1136/jech-2016-207691

Cited by 22 publications

(25 citation statements)

References 40 publications

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“…The US National Health and Nutrition Examination Survey (NHANES) used the ActiGraph wrist-worn accelerometer in cycles 2011-2012 and 2013-2014 (approximately 9,000-10,000 participants examined per cycle). The Pelotas Birth Cohort (6), the Melbourne Child Health Checkpoint (7), the Cork Children's Lifestyle Study (8), and the British Whitehall II study (9) used the GENEActiv in approximately 10,000, 4,000, 1,000 and 3,750 participants, respectively. Before outcomes from studies using different brands of accelerometer can be pooled into multinational databases, it is necessary to demonstrate comparability of data outputs between brands.…”

Section: Introductionmentioning

confidence: 99%

Accelerometer-assessed Physical Activity in Epidemiology

Rowlands

Mirkes

Yates

et al. 2018

Medicine &Amp; Science in Sports &Amp; Exercise

138

144

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Section: Introductionmentioning

confidence: 99%

Accelerometer-assessed Physical Activity in Epidemiology

Rowlands

Mirkes

Yates

et al. 2018

Medicine &Amp; Science in Sports &Amp; Exercise

138

144

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“…This framework showed that many factors can influence the level of adolescent PA 8. These factors can be classified into three categories7: (1) individual intrinsic motivation9 10; (2) family factors, such as socioeconomic level or parental encouragement and engagement11–13; and (3) general environmental factors, such as an urban environment (eg, access to green public parks, traffic density),14–16 societal environment (eg, school schedule)17 and natural conditions (eg, seasons/meteorological conditions/day length) 18 19. Some previous studies showed that global climate change can alter children’s health and PA pattern 20 21.…”

Section: Introductionmentioning

confidence: 99%

Influence of meteorological conditions on physical activity in adolescents

Béghin

Vanhelst

Drumez

et al. 2020

J Epidemiol Community Health

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BackgroundIt has been shown that meteorological conditions and season affect physical activity (PA) during adolescence. Today, meteorological conditions have never been combined to study their influence on PA level in a single sample of a large adolescent multicountries population. The aim of this study was to explore the influence of meteorological conditions on PA in adolescents from several European countries.MethodsThe study included 2024 healthy adolescents aged 12.5–17.4 years who participated in the Healthy Lifestyle in Europe by Nutrition in Adolescence cross-sectional study. Participants wore a uniaxial accelerometer for 7 consecutive days to measure total PA and moderate to vigorous physical activity (MVPA) in a one-off measurement manner. Comparison of PA according to meteorological conditions was done using linear mixed models.ResultsThe highest difference of MVPA was observed in boys on free days when comparing the best meteorological conditions versus the worse (ie, +39% with highest temperature, +29% without rainfall, +39% with highest sunlight duration and +21% with highest length of day) and in girls on free days (ie, +26% with highest sunlight duration). This increase in MVPA contributed to a simultaneous increase in total PA when considering the same meteorological condition parameters.ConclusionsMeteorological conditions act as a determinant of PA differentially between boys and girls. PA and MVPA in boys are mainly modified by meteorological conditions on free days whereas PA and MVPA in girls are modified by sunlight duration.

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“…Results, however, have been inconsistent. Some studies have shown higher PA and physical fitness levels in urban youth [27][28][29], while others have shown opposite results [2,30,31]. There is also research indicating limited differences in physical fitness by living environment [6,32,33].…”

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confidence: 99%

Physical Fitness in Upper Austrian Children Living in Urban and Rural Areas: A Cross-Sectional Analysis with More Than 18,000 Children

Drenowatz

Hinterkörner

Greier

2020

IJERPH

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Physical fitness is an important component in the development and health of children and adolescents. Given the equivocal results of previous research regarding the influence of the living environment on physical fitness, this study examined differences in physical fitness in urban and rural elementary school children in Upper Austria. A total of 18,168 (51% male) children between 6 and 11 years of age participated in anthropometric assessments and completed eight fitness tests that assessed cardiorespiratory endurance, muscular power, speed, agility, flexibility, and ball handling skills during a single test session in the school’s gymnasium. Urban living environment was associated with higher body weight (p = 0.01) and lower physical fitness (p < 0.01), except for flexibility, which was better in urban children (p < 0.01) and upper body strength (no difference), even after accounting for differences in body weight. Furthermore, it was shown that urban–rural differences in physical fitness are more pronounced in normal weight children and that these differences increase with age. These results highlight the potential of the living environment for the promotion of an active lifestyle that enhances physical fitness. The availability of safe spaces that facilitate unstructured and structured physical activity, as well as active transportation provide viable options for the promotion of physical fitness in children.

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levels and sociodemographic correlates of accelerometer-based physical activity in Irish children: a cross-sectional study

Cited by 22 publications

References 40 publications

Accelerometer-assessed Physical Activity in Epidemiology

Accelerometer-assessed Physical Activity in Epidemiology

Influence of meteorological conditions on physical activity in adolescents

Physical Fitness in Upper Austrian Children Living in Urban and Rural Areas: A Cross-Sectional Analysis with More Than 18,000 Children

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