Changes in subdomains of non-organized physical activity between childhood and adolescence in Australia: a longitudinal study

Kemp, Byron; Parrish, Anne‐Maree; Batterham, Marijka; Cliff, Dylan P.

doi:10.1186/s12966-022-01311-2

Cited by 10 publications

(7 citation statements)

References 37 publications

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“…In the pre-COVID-19 longitudinal analysis, the increase in sedentary time between Y4 and Y6 and the new Sedentary and Inactive profile, consisting of about a fifth of 10-11-year-olds, reflect a general pattern of lower physical activity and higher sedentary time observed with age [7,30]. Unstructured activities, such as active play, have also been found to decline with age [23,44] and may explain the shift away from the Active/Light profile (characterised by unstructured activity) towards structured activity (more common in Highly Active and Active profiles). A third of children stayed in the same profile, while only a fifth moved to a more active profile, similar to the transition patterns seen between Y1 and Y4 [23].…”

Section: Plos Onementioning

confidence: 95%

Comparison of children’s physical activity profiles before and after COVID-19 lockdowns: A latent profile analysis

Salway,

de Vocht,

Emm-Collison

et al. 2023

PLoS ONE

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Physical activity is important for children’s health, but moderate to vigorous physical activity (MVPA) declines with age. COVID-19 lockdowns resulted in reduced MVPA and increased sedentary time among children. Characterising children’s activity patterns may help identify groups who are most likely to be inactive post-lockdown. Data were combined from a pre-COVID-19 cohort study on children aged 5–6 years (Year1: n = 1299), 8–9 years (Year4: n = 1223) and 10–11 years (Year6: n = 1296) and cross-sectional post-lockdown data from a natural experiment on 10-11-year-olds in 2021 (Year6-W1: n = 393) and 2022 (Year6-W2: n = 436). The proportions of time spent in MVPA, light physical activity (LPA) and sedentary time on weekdays and weekends were derived from accelerometer data. Latent class analysis was used to identify activity profiles pre and post-lockdown, and estimate pre-COVID-19 transitions between Year4 and Year6. We identified six pre-COVID-19 activity profiles in Year6, including a new profile characterised by very low MVPA and high sedentary time (19% of children). There was substantial movement between profiles at Year4 and Year6, with 45% moving to a profile with lower MVPA. Likelihood ratio tests suggested differences in Year6 activity profiles pre and post-lockdown, with a new post-lockdown profile emerging characterised by higher LPA. The percentage of children in the least active profiles (where under 20% meet UK physical activity guidelines), rose post-lockdown, from 34% pre-COVID-19 to 50% in 2021 and 40% in 2022. We also saw gender and socioeconomic gaps widen, and increased separation between high and low physical activity levels. Children’s physical activity has changed post-COVID-19, in terms of who is being active and how. The impact varies by activity profile, which is influenced by gender and socio-economic position. A greater understanding of these differences and targeting of low active groups is needed to increase both individual and population levels of physical activity.

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Section: Plos Onementioning

confidence: 95%

Comparison of children’s physical activity profiles before and after COVID-19 lockdowns: A latent profile analysis

Salway,

de Vocht,

Emm-Collison

et al. 2023

PLoS ONE

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“…The alarming decrease in the frequency and duration of organized PA in schools and sports clubs was emphasised by Rossi, Behme and Breuer [57]. The decrease in unorganized PA between late childhood (10-11 years) and early adolescence (12-13 years) was also observed in Australia by Kemp et al [58]. There is no doubt that the decrease in adolescents' PA is significantly correlated with the decrease in adolescents' participation in organized PA [59,60].…”

Section: Discussionmentioning

confidence: 95%

Trends in physical activity in adolescents participating and not participating in organized team or individual physical activity

Groffik¹,

Frömel²,

Ziemba³

et al. 2023

Ann Agric Environ Med.

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Introduction andObjective. Participation of adolescents in organized physical activity (PA), together with physical education, is essential for the development of a habit of regular PA, achievement of PA recommendations and adoption of physical literacy. The aim of the study is to identify the trends and differences in PA levels between adolescents participating in organized team PA, organized individual PA, and those not participating in organized PA. Another aim is to formulate proposals to eliminate the negative effects of the pandemic on adolescents' participation in organized PA. Materials and method. The research took place between 2012-2021 in 51 secondary schools and involved a total of 1,202 boys and 1,561 girls. Participation in organized PA was examined using the 'Sports preferences survey'. Weekly PA was investigated by means of the 'International Physical Activity Questionnaire-Long Form'. Results. The results confirmed the negative trend in participation in organized PA. However, this was predominantly caused by the negative effects of the pandemic in 2020-2021. Boys participating in organized team and individual PA had more school PA, recreation PA, vigorous PA, moderate PA and overall PA during the week, compared with boys not participating in organized PA (girls had more vigorous PA, moderate PA and overall PA). Conclusions. Participation in organized team PA and individual PA plays an important role, primarily in supporting vigorous PA but also in overall weekly PA among boys and girls. The negative effects of the pandemic should be eliminated by increasing adolescents' participation in various forms of organized PA with an emphasis on organized individual PA which can be regularly pursued, even under restrictive measures at home, in the countryside or in nature.

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“…An additional quality improvement process was also conducted prior to the present study which involved comparing TUD codes with free-text descriptions of activities included in the LSAC datasets. More details about this process have been provided in a previous study [ 51 ]. Additional file 3 defines the domains of PA that were used in the present study.…”

Section: Methodsmentioning

confidence: 99%

Cross-sectional and longitudinal associations of domain-specific physical activity composition with health-related quality of life in childhood and adolescence in Australia

Kemp

Dumuid

Chong

et al. 2023

Int J Behav Nutr Phys Act

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Background Health benefits have been linked with physical activity (PA), as well as some domains of PA among youth (e.g. organized PA and active transport). However, less is known about whether some PA domains are more beneficial than others. There is also a lack of evidence about whether health outcomes are related to the composition of PA (i.e. the share of PA spent in different domains). This study aimed to identify: (1) how the absolute durations of organized PA, non-organized PA, active transport and active chores/work at 10-11y are individually associated with physical, psychosocial and total health-related quality of life (HRQOL) at 10-11y and 12-13y; and (2) how the domain-specific composition of PA at 10-11y is associated with HRQOL at 10-11y and 12-13y. Methods Data from the Longitudinal Study of Australian Children were used in cross-sectional (n ≥ 2730) and longitudinal analyses (n ≥ 2376). Measurement included the Pediatric Quality of Life Inventory (PedsQL™) for HRQOL domains and one-day time-use diaries (TUDs) for PA domains. Robust linear regression models were used, controlling for age, sex, pubertal status, socioeconomic position, body mass index and TUD context (season and school attendance). Compositional models additionally adjusted for total PA duration and longitudinal models controlled for baseline PedsQL™ scores. Results Non-compositional models indicated that the duration of organized PA, and to a lesser extent non-organized PA, were positively but weakly associated with some HRQOL outcomes at 10-11y. These trends were not reflected in longitudinal models, although a 30-min increase in non-organized PA per day did predict marginally better psychosocial HRQOL at 12-13y (+ 0.17%; 95%CI = + 0.03%, + 0.32%). Compositional models revealed that a 30-min increase in organized PA relative to other domains was positively but weakly associated with physical (+ 0.32%; 95%CI = + 0.01%, + 0.63%), psychosocial (+ 0.41%; 95%CI = + 0.11%, + 0.72%) and total HRQOL (+ 0.39%; 95%CI = + 0.12%, + 0.66%) at 10-11y. However, the overall PA composition at 10-11y was not related to HRQOL at 12-13y. Conclusions Non-compositional and compositional models generally concurred on the direction of cross-sectional and longitudinal relationships (and lack thereof) between PA domains and HRQOL outcomes. The strongest associations were cross-sectional between organized PA and HRQOL at 10-11y. However, all associations between PA domains and HRQOL outcomes were weak and may not be clinically meaningful.

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Changes in subdomains of non-organized physical activity between childhood and adolescence in Australia: a longitudinal study

Cited by 10 publications

References 37 publications

Comparison of children’s physical activity profiles before and after COVID-19 lockdowns: A latent profile analysis

Comparison of children’s physical activity profiles before and after COVID-19 lockdowns: A latent profile analysis

Trends in physical activity in adolescents participating and not participating in organized team or individual physical activity

Cross-sectional and longitudinal associations of domain-specific physical activity composition with health-related quality of life in childhood and adolescence in Australia

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