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

Pediatrics

Volumn 133, Issue 4, 2014, Pages

  Chen, Gang ^a   Ratcliffe, Julie ^a   Olds, Tim ^b   Magarey, Anthea ^a   Jones, Michelle ^c   Leslie, Eva ^a  

^a FLINDERS UNIVERSITY   (Australia)

^b UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

^c Nutrition and Dietetics School of Medicine Flinders University ^*  (Australia)

Author keywords

Adolescent; Australia; BMI; Children; Health Related Quality Of Life; Utility

Indexed keywords

ADOLESCENT; ARTICLE; AUSTRALIA; BODY MASS; CHILD; CHILD HEALTH UTILITY 9D; ELEMENTARY STUDENT; FEEDING BEHAVIOR; FEMALE; HEALTH BEHAVIOR; HIGH SCHOOL STUDENT; HUMAN; MALE; OBESITY; PHYSICAL ACTIVITY; PRIORITY JOURNAL; QUALITY OF LIFE; QUESTIONNAIRE; SEDENTARY LIFESTYLE; SLEEP PATTERN;

ADOLESCENT; AUSTRALIA; BMI; CHILDREN; HEALTH-RELATED QUALITY OF LIFE; UTILITY;

ADOLESCENT; BODY MASS INDEX; CHILD; CROSS-SECTIONAL STUDIES; FEEDING BEHAVIOR; FEMALE; HEALTH BEHAVIOR; HUMANS; MALE; QUALITY OF LIFE; SCHOOLS; SEDENTARY LIFESTYLE; SLEEP;

EID: 84895858289     PISSN: 00314005     EISSN: 10984275     Source Type: Journal    
DOI: 10.1542/peds.2013-0622     Document Type: Article

References (38)

1. Karnik S, Kanekar A. Childhood obesity: a global public health crisis. Int J Prev Med. 2012;3(1):1-7
2. Olds TS, Tomkinson GR, Ferrar KE, Maher CA. Trends in the prevalence of childhood overweight and obesity in Australia between 1985 and 2008. Int J Obes (Lond). 2010;34(1):57-66
3. Olds T, Maher C, Zumin S, et al. Evidence that the prevalence of childhood overweight is plateauing: data from nine countries. Int J Pediatr Obes. 2011;6(5-6): 342-360
4. OECD. Obesity Update 2012. Paris, France: OECD Publishing; 2012
5. Crowle J, Turner E. Childhood Obesity: An Economic Perspective. Productivity Commission Staff Working Paper. Canberra, Australia: Commonwealth of Australia; 2010
6. Trasande L, Elbel B. The economic burden placed on healthcare systems by childhood obesity. Expert Rev Pharmacoecon Outcomes Res. 2012;12(1):39-45
7. Fontaine KR, Barofsky I. Obesity and healthrelated quality of life. Obes Rev. 2001;2(3): 173-182
8. Naughton MJ, Shumaker SA. The case for domains of function in quality of life assessment. Qual Life Res. 2003;12(suppl 1):73-80
9. Tsiros MD, Olds TS, Buckley JD, et al. Health-related quality of life in obese children and adolescents. Int J Obes (Lond). 2009;33(4):387-400
10. Boyle SE, Jones GL, Walters SJ. Physical activity, quality of life, weight status and diet in adolescents. Qual Life Res. 2010;19 943-954
11. Keating CL, Moodie ML, Richardson J, Swinburn BA. Utility-based quality of life of overweight and obese adolescents. Value Health. 2011;14(5):752-758
12. Williams JW, Canterford L, Hesketh KD, et al Changes in body mass index and health related quality of life from childhood to adolescence. Int J Pediatr Obes. 2011;6(2-2): e442-e448.
13. Jacka FN, Kremer PJ, Berk M, et al. A prospective study of diet quality and mental health in adolescents. PLoS ONE. 2011;6(9):e24805
14. Tremblay MS, LeBlanc AG, Kho ME, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act. 2011;8:98
15. Gopinath B, Hardy LL, Baur LA, Burlutsky G, Mitchell P. Physical activity and sedentary behaviors and health-related quality of life in adolescents. Pediatrics. 2012;130(1). Available at: www.pediatrics.org/cgi/content/full/130/ 1/e167
16. Mitchell RB, Kelly J. Sleep and quality of life in children. In: Verster JC, Pandi-Perumal SR, Streiner D, eds. Sleep and Quality of Life in Clinical Medicine. Totowa, NJ: Humana Press; 2008
17. Griebsch I, Coast J, Brown J. Quality-adjusted life-years lack quality in pediatric care: a critical review of published cost-utility studies in child health. Pediatrics. 2005; 115(5). Available at: www.pediatrics.org/cgi/content/ full/115/5/e600
18. Ratcliffe J, Stevens K, Flynn T, Brazier J, Sawyer M. An assessment of the construct validity of the CHU9D in the Australian adolescent general population. Qual Life Res. 2012;21(4):717-725
19. Brazier JE, Ratcliffe J, Tsuchiya A, Salomon J. Measuring and Valuing Health Benefits for Economic Evaluation. New York, NY: Oxford University Press; 2007
20. Feeny D. A utility approach to the assessment of health-related quality of life. Med Care. 2000;38(9 suppl):II151-II154
21. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320(7244):1240-1243
22. Cole TJ, Flegal KM, Nicholls D, Jackson AA. Body mass index cut offs to define thinness in children and adolescents: international survey. BMJ. 2007;335(7612):194
23. Prochaska JJ, Sallis JF, Long B. A physical activity screening measure for use with adolescents in primary care. Arch Pediatr Adolesc Med. 2001;155(5):554-559
24. Department of Health and Aging. Australia's Physical Activity Recommendations for 5-12 Year Olds. Canberra, Australia: Commonwealth of Australia; 2004
25. Department of Health and Aging. Australia's Physical Activity Recommendations for 12-18 Year Olds. Canberra, Australia: Commonwealth of Australia; 2004
26. Wille N, Badia X, Bonsel G, et al. Development of the EQ-5D-Y: a child-friendly version of the EQ-5D. Qual Life Res. 2010; 19(6):875-886
27. Ravens-Sieberer U, Wille N, Badia X, et al. Feasibility, reliability, and validity of the EQ-5D-Y: results from a multinational study. Qual Life Res. 2010;19(6):887-897
28. Moodie M, Richardson J, Rankin B, et al. Predicting time trade-off health state valuations of adolescents in four Pacific countries using the AQoL-6D instrument. Value Health. 2010;13(8):1014-1027
29. Stevens KJ. Working with children to develop dimensions for a preference-based, generic, pediatric, health-related qualityof-life measure. Qual Health Res. 2010;20 340-351
30. Stevens K. Developing a descriptive system for a new preference-based measure of health-related quality of life for children. Qual Life Res. 2009;18(8):1105-1113
31. Ratcliffe J, Couzner L, Flynn T, et al. Valuing Child Health Utility 9D health states with a young adolescent sample: a feasibility study to compare best-worst scaling discretechoice experiment, standard gamble and time trade-off methods. Appl Health Econ Health Policy. 2011;9(1):15-27
32. Ratcliffe J, Flynn T, Terlich F, Stevens K, Brazier J, Sawyer M. Developing adolescentspecific health state values for economic evaluation: an application of profile case best-worst scaling to the Child Health Utility 9D. Pharmacoeconomics. 2012;30(8):713-727
33. Stevens K, Ratcliffe J. Measuring and valuing health benefits for economic evaluation in adolescence: an assessment of the practicality and validity of the Child Health Utility 9D in the Australian adolescent population. Value Health. 2012;15(8):1092-1099
34. Australian Curriculum Assessment and Reporting Authority (ACARA). Guide to Understanding ICSEA. Sydney, Australia: ACARA; 2012
35. Rabe-Hesketh S, Skrondal A. Multilevel and Longitudinal Modeling Using Stata. College Station, TX: Stata Press; 2005
36. Canaway AG, Frew EJ. Measuring preferencebased quality of life in children aged 6-7 years: a comparison of the performance of the CHU-9D and EQ-5D-Y -the WAVES pilot study. Qual Life Res. 2013;22(1):173-183
37. Olds TS, Maher CA, Matricciani L. Sleep duration or bedtime? Exploring the relationship between sleep habits and weight status and activity patterns. Sleep. 2011;34 1299-1307
38. Drummond M. Introducing economic and quality of life measurements into clinical studies. Ann Med. 2001;33(5):344-349