Physical activity (PA) participation among youth tends to be insufficient and is prone to decline with age. In Australia, this decline has been shown to particularly occur in the domain of ...non-organized PA (e.g. active play and informal sport) between childhood and adolescence. However, information about changes in more specific groupings of activities within non-organized PA (i.e. subdomains) is needed, as this could support more targeted intervention strategies. This study aimed to investigate changes in the duration of specific subdomains of non-organized PA between late childhood (10-11 years) and early adolescence (12-13 years) in Australia, as well as whether these changes are moderated by sex. Data were sourced from Waves 6 and 7 of the Longitudinal Study of Australian Children (n = 3614). Youth time-use diaries (24-h) were used to measure the duration of eight subdomains of non-organized PA at both waves (athletics/gymnastics, ball sports, cycling/motor/roller sports, fitness/gym/exercise, martial arts/dancing, water/ice/snow sports, active play and other outdoor/nature PA). Multilevel mixed modelling was used to explore longitudinal changes between waves and the potential moderation effect of sex. Active play declined the most of all subdomains (beta = -20.5 min/day; 95% CI = -23.4, -17.6, p < 0.001). A smaller decline was observed in the subdomain of non-organized ball sports (beta = -4.1 min/day; 95% CI = -5.9, -2.3, p < 0.001). Other subdomains remained stable or had only very small changes in participation. The decline in active play was moderated by sex, with a steeper decline among girls. No other notable moderation effects were observed. Future studies may seek to explore and test the acceptability of PA promotion strategies to encourage active play participation, such as 'reframing' childhood play activities to be appropriate for adolescents. Such studies might particularly seek the perspectives of girls in the transition to adolescence.
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.
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.
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.
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.
Physical activity (PA) participation is prone to decline during childhood and adolescence. In Australia, this decline has been shown to particularly occur in active play. This study aimed to identify ...sociodemographic moderators of change in active play between 10-11y and 12-13y among Australian youth. The data were sourced from Waves 6–7 of the Longitudinal Study of Australian Children (n = 3567). Active play participation was measured using one-day time-use diaries (TUDs) completed by youth. Potential sociodemographic moderators were tested using multilevel mixed modelling, adjusted for pubertal development, body mass index z-score and TUD contextual variables (school attendance and season). Active play declined more among girls (β= −7.6 min/day, 95% CI = −13.3, −1.8), those who spoke English at home (β= −12.3 min/day, 95% CI = −22.0, −2.7) and marginally among those in regional/remote areas (β= −6.3 min/day, 95% CI = −12.8, +0.1). A widening gap in active play by sex was observed, while differences by language spoken at home and geographical remoteness weakened or became marginal over time. Interventions to promote active play could target girls in the transition to adolescence. Future studies could investigate whether active play declines earlier than 10-11y among youth who speak languages other than English at home and those living in urban areas.
Physical activity (PA) tends to decline during late childhood and adolescence. In Australia, this decline has been shown to occur particularly in non-organized PA (e.g. active play and informal ...sport). Using a social marketing approach, segments of youth may be identified and targeted based on their profile of alternative activities that compete with non-organized PA during the transition to adolescence. The objectives of this study were to identify and describe segments of youth whose participation in non-organized PA declined between 11 and 13 years, based on changes in other potential competing activities during this period.
Data were sourced from Waves 4 and 5 of the Longitudinal Study of Australian Children. Participation in non-organized PA and thirteen alternative activities (e.g. video games, homework, sleep) were measured using 24-h time-use diaries. Analyses were limited to participants whose non-organized PA had declined between 11 and 13 years (n = 1043). Two-stage cluster analysis was conducted and segments were described using chi-square and t-tests.
Among the analytic sample, average non-organized PA participation declined by 87 min/day between 11y and 13y (p < 0.001). Two segments were identified (κ = 0.66). The 'Social Screens' segment (n = 143) had large increases in texting, emailing and social media use (+ 56 min/day, p < 0.001) and other internet use (+ 32 min/day, p < 0.001). Conversely, 'the Mainstream' segment (n = 900) had smaller increases in a wider range of activities, including other PA (organized PA, active transport, active chores/work) (+ 16.0 min/day, p < 0.001), homework/study (+ 9.5 min/day, p < 0.001) and electronic gaming (+ 6.7 min/day, p < 0.05). 'Social Screens' were more likely to attend public school, live in urban areas and have more advanced pubertal development (girls only). 'The Mainstream' were more likely to participate in PA and out-of-school activities.
The 'Social Screens' segment had a much larger increase in texting, emailing, social media and other internet use, and lower participation in overall PA and out-of-school activities, compared with 'the Mainstream'. Future research may trial PA promotion strategies to replace benefits that this segment may seek in competing activities (e.g. social PA apps).
Physical activity (PA) participation is prone to decline during adolescence. An understanding of the domains of PA that are susceptible to decline may support a more targeted approach to PA and ...health promotion. The aim of this study was to review longitudinal trends in participation in four PA domains during childhood and adolescence: organized PA, non-organized PA, active transport and active chores.
Systematic review.
5517 research articles were sourced from five electronic databases (covering January 1997–April 2018). Eligibility criteria included repeated measurements of at least one PA domain among the same participants (5–18years of age).
23 studies were included, cumulatively reporting data from 27,231 participants. Few studies had a low risk of bias (n=6). Most studies of active transport reported an increase in participation during childhood, no change in the transition to adolescence, and no change or decline during adolescence. Most studies of organized PA reported an increase during childhood, an increasing or stable pattern in the transition to adolescence, and no change or decline during adolescence. Non-organized PA participation tended to remain stable among adolescent girls and decline among adolescent boys. Active chores increased during the transition to adolescence and then stabilized.
Potential strategies for PA promotion among youth may include targeting non-organized PA among adolescent boys or organized PA among late adolescent boys and girls. However, there is a continuing need for high-quality, longitudinal studies of participation in PA domains, particularly non-organized PA and active chores.
PROSPERO Registration: CRD42017076888.
Physical activity (PA) tends to decline during late childhood and adolescence. In Australia, this decline has been shown to particularly occur non-organized PA (e.g., active play, informal sport). ...This study aimed to explore predictors of non-organized PA at 13y; and decline between 11y and 13y. Data were sourced from the Longitudinal Study of Australian Children. Non-organized PA was measured using time-use diaries. Analyses included Cragg hurdle and binary logistic regressions. The likelihood of non-organized PA at 13y was predicted by PA enjoyment (OR = 1.36, p = 0.007), number of siblings (OR = 1.11, p < 0.001), sex (females) (OR = 0.66, p < 0.001) and home computer use at 11y (OR = 0.98, p = 0.002) (n = 3,193). Females also engaged in less non-organized PA at 13y (β = −77.77, p = 0.048) (n = 3,193). Significant predictors of decline in non-organized PA were socioeconomic position (OR = 0.92, p = 0.047) and sugary drink consumption at 11y (OR = 1.06, p = 0.033) (n = 3,222). Strategies to promote non-organized PA may include targeting females and those of lower socioeconomic position, and focusing on types of PA that may replace the perceived benefits of computer use.
To describe how children’s time spent in the 24-h movement behaviours of physical activity (PA), sedentary behaviour (SB) and sleep change, individually and collectively, across the transition from ...primary to secondary school.
Systematic review.
Six electronic databases were searched from January 1990 to May 2019. Eligibility criteria included longitudinal studies reporting time spent in PA, SB and/or sleep, with baseline assessments conducted during the last two years of primary school and at least one follow-up during the first two years of secondary school. For studies reporting only SB, this review considered those published from November 2015 onwards to update a previous systematic review.
The present review identified six articles that reported changes in PA (n=5) or PA and SB concurrently (n=1). Most articles had a high risk of bias (n=4/6). There was limited but consistent evidence of a change in PA over the school transition period; in particular a decrease in total daily PA and during specific time periods (i.e., in-school, after-school and leisure time). A concurrent but opposite change was observed in SB. No studies were identified that assessed changes in sleep, or all three movement behaviours concurrently.
Further research exploring concurrent changes in all movement behaviours (PA, SB and sleep) and associated factors is warranted to inform future behavioural interventions and policies for promoting an optimal 24h movement behaviour pattern during this critical developmental period.
Participation in physical activity (PA) tends to decline between childhood and adolescence, and in Australia the bulk of this decline has been shown to occur in the domain of non-organised PA (e.g. ...active play, informal sports). A better understanding of the reasons for the decline in non-organised PA may support strategies to counter barriers and strengthen enablers of participation. This study aimed to explore the stories of young adults who withdrew from non-organised PA and overall PA between 11y and 15y. Specifically, we sought to explore social norms related to non-organised PA during adolescence, and barriers and enablers of participation. Participants were young adults (18-22y) who were recruited from undergraduate, vocational and special entrance classes, as well as two churches in the Illawarra region, Australia. Recruitment was stratified by sex and socioeconomic status. Data collection occurred via semi-structured interviews with embedded Life History Calendars (n = 22). Thematic analysis was supported by concept and pattern coding. Findings revealed that social norms were related to an interplay of adult modelling/influence, concerns about being childish, puberty, identity development, adult choices and responsibilities, and changing life circumstances. Barriers to participation centred on fears of being different, bullying, peer judgement and rejection. Enablers of participation included safe people and places, accessible games (e.g. handball/foursquare) and, for girls, having an identity that supported challenging gender norms. Future PA promotion strategies may involve 'reframing' childhood activities to be appropriate for adolescents, and emphasising identity-congruent types of PA (e.g. active video games, drama games). Such strategies may be implemented in a similar style to after-school intramural sports to allow youth to participate despite potential changes in their life circumstances during adolescence.
•1-dose HPV vaccination may offer robust protection against HPV16/18 infections.•ESCUDDO aims to evaluate 1 vs. 2 HPV vaccine doses to prevent HPV infection.•Goal is to generate high-quality data to ...be used to change policy, if successful.•Successfully enrolled the ESCUDDO study and are now following participants.
HPV vaccination of adolescent girls is the most effective measure to prevent cervical cancer. The World Health Organization recommends that adolescent girls receive two doses of vaccine but only a small proportion of girls from regions with the highest disease burden are vaccinated because of cost and logistical considerations. Our Costa Rica HPV Vaccine trial suggested that one dose of the bivalent HPV vaccine provides robust and lasting protection against persistent HPV infections for over a decade. Data from a post-licensure trial of the quadrivalent vaccine in India also suggested that a single dose may be effective in reducing cervical cancer risk. To formally compare one versus two doses of the bivalent and nonavalent HPV vaccines, we implemented a large, randomized, double-blind trial to investigate the non-inferiority of one compared to two vaccine doses in the prevention of new HPV16/18 infections that persist 6 or more months. Bivalent and nonavalent vaccines will be evaluated separately. The trial enrolled and randomized (1:1:1:1 to 1- and 2-dose arms of the bivalent and nonavalent vaccines) 20,330 girls 12 to 16 years old residing in Costa Rica. Trial participants are followed every 6 months for up to 5 years. We also aim to estimate vaccine efficacy by comparing the rates of 6 month persistent infection in unvaccinated women with the rates in the follow-up visits of trial participants. We included one survey of unvaccinated women at the start of the study (N = 4452) and will include another survey concomitant with follow up visits of trial participants at year 4.5 (planned N = 3000). Survey participants attend two visits 6 months appart. Herein, we present the rationale, design, and enrolled study population of the ESCUDDO trial.
ClinicalTrials.gov Identifier: NCT03180034
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