Literature DB >> 24590749

BMI, health behaviors, and quality of life in children and adolescents: a school-based study.

Gang Chen1, Julie Ratcliffe, Tim Olds, Anthea Magarey, Michelle Jones, Eva Leslie.   

Abstract

OBJECTIVE: To explore the relationship between weight status (BMI) and health-related quality of life in children and adolescents through application of the Child Health Utility 9D, a new generic preference-based instrument.
METHODS: Data were collected from primary and high school students in rural and metropolitan regions of South Australia. Consenting participants (2588 in grades 4-6 and 765 in grades 9-10) were weighed and measured and categorized as underweight, healthy weight, overweight, or obese according to International Obesity Taskforce BMI cutoff points (primary outcome). Participants also completed a questionnaire including the Child Health Utility 9D and standardized measures of physical activity, sedentary behavior, sleep patterns, and eating behavior (secondary outcomes). Descriptive and multivariate linear regression analyses were undertaken to calculate mean utility differences.
RESULTS: In comparison with healthy-weight primary school students, adjusted mean utilities were lower for overweight (-0.016, P = .02) or obese (-0.039, P = .001) students. For high school students, the adjusted mean utilities were also lower for overweight and obese students but were nonsignificant (-0.018, P > .10). Physical activity, sedentary behavior, sleep patterns, and eating behavior were all found to be significantly associated with utilities.
CONCLUSIONS: Irrespective of BMI, young people engaging in more physical activities or less sedentary behavior, and having healthier sleep patterns or eating behavior exhibited higher utilities. Associations between utilities and sleep patterns or eating behavior were stronger than the associations with BMI. Future economic evaluations for obesity interventions should more formally investigate the relationship between changes over time in weight status and health-related quality of life for children and adolescents.

Entities:  

Keywords:  Australia; BMI; adolescent; children; health-related quality of life; utility

Mesh:

Year:  2014        PMID: 24590749     DOI: 10.1542/peds.2013-0622

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  36 in total

1.  Perceived social support from teachers and classmates does not moderate the inverse association between body mass index and health-related quality of life in adolescents.

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Journal:  Qual Life Res       Date:  2018-12-04       Impact factor: 4.147

Review 2.  The influence of diet quality and dietary behavior on health-related quality of life in the general population of children and adolescents: a systematic review and meta-analysis.

Authors:  Xiu Yun Wu; Li Hui Zhuang; Wei Li; Hong Wei Guo; Jian Hua Zhang; Yan Kui Zhao; Jin Wei Hu; Qian Qian Gao; Sheng Luo; Arto Ohinmaa; Paul J Veugelers
Journal:  Qual Life Res       Date:  2019-03-14       Impact factor: 4.147

Review 3.  Sleep disorders in pediatric chronic kidney disease patients.

Authors:  Stella Stabouli; Eleni Papadimitriou; Nikoleta Printza; John Dotis; Fotios Papachristou
Journal:  Pediatr Nephrol       Date:  2015-10-19       Impact factor: 3.714

4.  Human development index, children's health-related quality of life and movement behaviors: a compositional data analysis.

Authors:  Dorothea Dumuid; Carol Maher; Lucy K Lewis; Tyman E Stanford; Josep Antoni Martín Fernández; Julie Ratcliffe; Peter T Katzmarzyk; Tiago V Barreira; Jean-Philippe Chaput; Mikael Fogelholm; Gang Hu; José Maia; Olga L Sarmiento; Martyn Standage; Mark S Tremblay; Catrine Tudor-Locke; Timothy Olds
Journal:  Qual Life Res       Date:  2018-01-23       Impact factor: 4.147

5.  The great sleep recession: changes in sleep duration among US adolescents, 1991-2012.

Authors:  Katherine M Keyes; Julie Maslowsky; Ava Hamilton; John Schulenberg
Journal:  Pediatrics       Date:  2015-03       Impact factor: 7.124

Review 6.  Childhood obesity and its physical and psychological co-morbidities: a systematic review of Australian children and adolescents.

Authors:  Ross H Sanders; Ahreum Han; Julien S Baker; Stephen Cobley
Journal:  Eur J Pediatr       Date:  2015-04-29       Impact factor: 3.183

7.  Estimating Age- and Sex-Specific Utility Values from the CHU9D Associated with Child and Adolescent BMI z-Score.

Authors:  Anagha Killedar; Thomas Lung; Stavros Petrou; Armando Teixeira-Pinto; Alison Hayes
Journal:  Pharmacoeconomics       Date:  2020-04       Impact factor: 4.981

8.  Mapping the PedsQL™ onto the CHU9D: An Assessment of External Validity in a Large Community-Based Sample.

Authors:  Christine Mpundu-Kaambwa; Gang Chen; Elisabeth Huynh; Remo Russo; Julie Ratcliffe
Journal:  Pharmacoeconomics       Date:  2019-09       Impact factor: 4.981

Review 9.  A Review of the Development and Application of Generic Multi-Attribute Utility Instruments for Paediatric Populations.

Authors:  Gang Chen; Julie Ratcliffe
Journal:  Pharmacoeconomics       Date:  2015-10       Impact factor: 4.981

10.  Maternal antenatal stress has little impact on child sleep: results from a prebirth cohort in Mexico City.

Authors:  Avik Chatterjee; Jennifer W Thompson; Katherine Svensson; Marcela Tamayo Y Ortiz; Robert Wright; Rosalind Wright; Martha Tellez-Rojo; Andrea Baccarelli; Alejandra Cantoral; Lourdes Schnaas; Emily Oken
Journal:  Sleep Health       Date:  2018-08-29
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