Literature DB >> 28674767

Use-of-time and health-related quality of life in 10- to 13-year-old children: not all screen time or physical activity minutes are the same.

Margarita D Tsiros1, Michelle G Samaras2, Alison M Coates2, Timothy Olds2.   

Abstract

PURPOSE: To investigate associations between aspects of time use and health-related quality of life (HRQoL) in youth.
METHODS: 239 obese and healthy-weight 10- to 13-year-old Australian children completed the Pediatric Quality of Life Inventory (PedsQL™) quantifying their health-related quality of life. Time use was evaluated over four days using the Multimedia Activity Recall for Children and Adolescents (MARCA), a validated 24 h recall tool. The average number of minutes/day spent in physical activity (divided into sport, active transport and play), screen time (divided into television, videogames and computer use), and sleep were calculated. Percent fat was measured using dual-energy X-ray absorptiometry, Tanner stage by self-report, and household income by parental report. Sex-stratified analysis was conducted using Partial Least Squares regression, with percent fat, Tanner stage, household income, and use-of-time as the independent variables, and PedsQL™ total, physical and psychosocial subscale scores as the dependent variables.
RESULTS: For boys, the most important predictors of HRQoL were percent fat (negative), videogames (negative), sport (positive), and Tanner stage (negative). For girls, the significant predictors were percent fat (negative), television (negative), sport (positive), active transport (negative), and household income (positive).
CONCLUSION: While body fat was the most significant correlate of HRQoL, sport was independently associated with better HRQoL, and television and videogames with poorer HRQoL. Thus, parents and clinicians should be mindful that not all physical activity and screen-based behaviours have equivocal relationships with children's HRQoL. Prospective research is needed to confirm causation and to inform current activity guidelines.

Entities:  

Keywords:  Percent body fat; Physical activity; Screen time; Television; Wellbeing

Mesh:

Year:  2017        PMID: 28674767     DOI: 10.1007/s11136-017-1639-9

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  39 in total

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2.  Screen time and physical activity behaviours are associated with health-related quality of life in Australian adolescents.

Authors:  Kathleen E Lacy; Steven E Allender; Peter J Kremer; Andrea M de Silva-Sanigorski; Lynne M Millar; Marjory L Moodie; Louise B Mathews; Mary Malakellis; Boyd A Swinburn
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3.  Trajectories and Predictors of Health-Related Quality of Life during Childhood.

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Journal:  J Pediatr       Date:  2015-06-01       Impact factor: 4.406

4.  Validity of self-report measures of girls' pubertal status.

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5.  Physical activity and sedentary behaviors and health-related quality of life in adolescents.

Authors:  Bamini Gopinath; Louise L Hardy; Louise A Baur; George Burlutsky; Paul Mitchell
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6.  Lifestyles and health-related quality of life in Japanese school children: a cross-sectional study.

Authors:  Xiaoli Chen; Michikazu Sekine; Shimako Hamanishi; Hongbing Wang; Alexandru Gaina; Takashi Yamagami; Sadanobu Kagamimori
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7.  Changes in health-related quality of life (HRQoL) in a population-based sample of children and adolescents after 3 years of follow-up.

Authors:  J A Palacio-Vieira; E Villalonga-Olives; J M Valderas; M Espallargues; M Herdman; S Berra; J Alonso; L Rajmil
Journal:  Qual Life Res       Date:  2008-10-18       Impact factor: 4.147

8.  The PedsQL 4.0 as a pediatric population health measure: feasibility, reliability, and validity.

Authors:  James W Varni; Tasha M Burwinkle; Michael Seid; Douglas Skarr
Journal:  Ambul Pediatr       Date:  2003 Nov-Dec

9.  A self-report measure of pubertal status: Reliability, validity, and initial norms.

Authors:  A C Petersen; L Crockett; M Richards; A Boxer
Journal:  J Youth Adolesc       Date:  1988-04

10.  Establishing a standard definition for child overweight and obesity worldwide: international survey.

Authors:  T J Cole; M C Bellizzi; K M Flegal; W H Dietz
Journal:  BMJ       Date:  2000-05-06
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Journal:  Int J Environ Res Public Health       Date:  2022-09-23       Impact factor: 4.614

3.  Compositional Data Analysis in Time-Use Epidemiology: What, Why, How.

Authors:  Dorothea Dumuid; Željko Pedišić; Javier Palarea-Albaladejo; Josep Antoni Martín-Fernández; Karel Hron; Timothy Olds
Journal:  Int J Environ Res Public Health       Date:  2020-03-26       Impact factor: 4.614

  3 in total

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