Publications by authors named "L B Sherar"

Background: Clusters of health behaviours could impact changes in adiposity among adolescents over time. This study examines the clustering of screen time, physical activity, dietary behaviours and sleep, and the associations with 3-year changes in indicators of adiposity.

Methods: Data from the UK's Millennium Cohort Study were utilised when participants were aged 14 and 17 years respectively.

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Background: Blood pressure (BP)-lowering effects of structured exercise are well-established. Effects of 24-hour movement behaviors captured in free-living settings have received less attention. This cross-sectional study investigated associations between a 24-hour behavior composition comprising 6 parts (sleeping, sedentary behavior, standing, slow walking, fast walking, and combined exercise-like activity [eg, running and cycling]) and systolic BP (SBP) and diastolic BP (DBP).

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Objective: Helping people to change their health behaviours is becoming a greater feature within the role of health professionals, including through whole system initiatives such as Making Every Contact Count. Health services provide an ideal setting to routinely promote health behaviours, including physical activity. Snacktivity is a novel approach that promotes small bouts of physical activity (activity snacks) throughout the day.

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Background: Ubiquitous car ownership may affect children's activity and health. We assessed the cross-sectional and longitudinal associations between household car ownership and children's daily time spent sedentary (SED) and in moderate to vigorous physical activity (MVPA).

Methods: Pooled cohort data were from the International Children's Accelerometry Database.

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This study aimed to identify changes in clusters of lifestyle behaviours (physical activity, screen time and diet) between the ages of 7 and 14 years, and to examine socio-demographic determinants of changes. Longitudinal analyses were performed on a sample of 9339 children from the UK Millennium Cohort Study (MCS) who had complete data on behaviours of interest at age 7 (wave 4) and 14 years (wave 6). Joint Correspondence Analysis (JCA) and k-means cluster analysis were used to identify clusters of lifestyle behaviours at both time waves.

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