Use of time and adolescent health‐related quality of life/well‐being: a scoping review

Abstract

More physical activity, less screen time and more/adequate sleep, in isolation, are associated with better profile-based HRQL subscales. Greater understanding of adolescents' overall time use patterns and HRQL is, therefore, a priority for policy development.

Physical activity and health-related quality of life in children and adolescents: A systematic review and meta-analysis.

“…However, only three of the studies reviewed by Granger et al (2017) used validated measures of HRQOL, while the rest used visual analog scales or single-item ratings of perceived health. Wong et al (2017) also found that more time spent in MVPA was associated with higher HRQOL ratings in adolescents in 13 out of 15 studies. However, the reviews described above were limited by a dearth of studies, a lack of objectively measured physical activity, high study heterogeneity, and inconsistent use of HRQOL and physical activity measures that restricted authors from determining aggregate effects (Granger et al, 2017;Lubans et al, 2016;Poitras et al, 2016;Wong et al, 2017).…”

“…Similarly, Dalton et al (2011) reported a positive association between recalled physical activity in the past week and global HRQOL among a sample of children in middle school. Consistent with these examples, the literature generally indicates that higher levels of physical activity are positively associated with higher HRQOL ratings in children and adolescents (Granger et al, 2017;Herman et al, 2014;Kantor et al, 2015;Lacy et al, 2012;Lubans et al, 2016;Poitras et al, 2016;Wong et al, 2017). There may even be a dose-response relationship between physical activity and HRQOL in children, with 12 year-olds reporting 1.5-2.6 unit increases in physical functioning HRQOL for each increased hour spent being physically active (Gopinath et al, 2012).…”

“…Although a quantitative meta-analysis was not located, several related reviews have examined associations between physical activity and mental health, subjective health, or psychosocial well-being in healthy youth and adolescents (Granger et al, 2017;Gu, 2017;Lubans et al, 2016;Poitras et al, 2016;Wong et al, 2017). Consistent with the literature summarized above, these reviews suggest that physical activity is generally related to higher selfreported health and psychological well-being (Granger et al, 2017;Poitras et al, 2016;Wong et al, 2017). Notably, Granger et al (2017) found that physical activity was positively related to self-reported health status in nine out of eleven studies.…”

“…Moderator analyses investigate disparate outcomes across studies by identifying predictors of relationship complexity that cannot be explained by a simple summary of overall effects (Card, 2012). Previous reviews cited high between-study heterogeneity as a limitation, which could indicate the presence of moderators that accounted for study differences (Granger et al, 2017;Poitras et al, 2016;Wong et al, 2017). Specifically, this review examined four a priori moderators, which were hypothesized to affect the association between physical activity and HRQOL including chronic disease status, weight status, sex, and study rigor.…”

“…While the initial aim of this study was to characterize the association between physical activity and HRQOL in descriptive studies, exercise interventions were added to increase the number of included studies and reach of this meta-analysis. Although not hypothesized a priori, previous reviews have cited heterogeneity in exercise intervention duration, intensity, and frequency as possible confounders of intervention effectiveness (Granger et al, 2017;Lubans et al, 2016;Poitras et al, 2016;Wong et al, 2017). Therefore, post hoc analyses were conducted Table 5).…”