Top

Gepubliceerd in:

01-08-2012

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

Auteurs: 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

Gepubliceerd in: Quality of Life Research | Uitgave 6/2012

Abstract

Purpose

To explore the cross-sectional relationships between health-related quality of life (HRQoL) and physical activity (PA) behaviours and screen-based media (SBM) use among a sample of Australian adolescents.

Methods

Data came from baseline measures collected for the It’s Your Move! community-based obesity prevention intervention. Questionnaire data on sociodemographics, PA, SBM and HRQoL were collected from 3,040 students (56% boys) aged 11–18 years in grade levels 7–11 in 12 secondary schools. Anthropometric data were measured.

Results

The highest level of PA at recess, lunchtime and after school was associated with higher HRQoL scores (boys, by 5.3, 8.1, 6.3 points; girls, by 4.2, 6.1, 8.2 points) compared with not being active during these periods. Exceeding 2 h of SBM use each day was associated with significantly lower HRQoL scores (boys, by 3.2 points; girls, by 4.0 points). Adolescents who were physically active and low SBM users on school days had higher HRQoL scores (boys, by 6.6 points; girls, by 7.8 points) compared with those who were not physically active every school day and high SBM users on school days.

Conclusions

Several of the relationships between low PA and high SBM use and HRQoL were comparable to those previously observed between chronic disease conditions and HRQoL, indicating that these behaviours deserve substantial attention.

vorige artikel Ten-year quality of life outcomes among patients with schizophrenia and schizoaffective disorder II. Predictive value of psychosocial factors

volgende artikel Perceived body shape, standardized body-mass index, and weight-specific quality of life of African-American, Caucasian, and Mexican-American adolescents

McHorney, C. A. (1999). Health status assessment methods for adults: Past accomplishments and future challenges. Annual Review of Public Health, 20, 309–335.PubMedCrossRef

Varni, J. W., Seid, M., Knight, T. S., Uzark, K., & Szer, I. S. (2002). The PedsQL 4.0 generic core scales: Sensitivity, responsiveness, and impact on clinical decision-making. Journal of Behavioral Medicine, 25(2), 175–193.PubMedCrossRef

Centers for Disease Control and Prevention. (2000). Measuring healthy days: Population assessment of helath-related qulaity of life. Atlanta, Georgia: CDC. Available from: http://www.cdc.gov/hrqol/pdfs/mhd.pdf.

Salo, P. K., Hakkinen, A. H., Kautiainen, H., & Ylinen, J. J. (2010). Effect of neck strength training on health-related quality of life in females with chronic neck pain: A randomized controlled 1-year follow-up study. Health Quality and Life Outcomes, 8, 48.CrossRef

Schwimmer, J. B., Burwinkle, T. M., & Varni, J. W. (2003). Health-related quality of life of severely obese children and adolescents. JAMA, 289(14), 1813–1819.PubMedCrossRef

Soni, R. K., Porter, A. C., Lash, J. P., & Unruh, M. L. (2010). Health-related quality of life in hypertension, chronic kidney disease, and coexistent chronic health conditions. Advances in Chronic Kidney Disease, 17(4), e17–e26.PubMedCrossRef

Sikdar, K. C., Wang, P. P., MacDonald, D., & Gadag, V. G. (2010). Diabetes and its impact on health-related quality of life: A life table analysis. Quality of Life Research, 19(6), 781–787.PubMedCrossRef

Speyer, E., Herbinet, A., Vuillemin, A., Briançon, S., & Chastagner, P. (2010). Effect of adapted physical activity sessions in the hospital on health-related quality of life for children with cancer: A cross-over randomized trial. Pediatric Blood & Cancer, 55(6), 1160–1166.CrossRef

Rejeski, W. J., Brawley, L. R., & Shumaker, S. A. (1996). Physical activity and health-related quality of life. Exercise and Sport Sciences Reviews, 24, 71–108.PubMedCrossRef

10.

Frisen, A. (2007). Measuring health-related quality of life in adolescence. Acta Paediatrica, 96(7), 963–968.PubMedCrossRef

11.

Bize, R., Johnson, J. A., & Plotnikoff, R. C. (2007). Physical activity level and health-related quality of life in the general adult population: A systematic review. Preventive Medicine, 45(6), 401–415.PubMedCrossRef

12.

Kruger, J., Bowles, H. R., Jones, D. A., Ainsworth, B. E., & Kohl, H. W., I. I. I. (2007). Health-related quality of life, BMI and physical activity among US adults (>/=18 years): National physical activity and weight loss survey, 2002. International Journal of Obesity (London), 31(2), 321–327.CrossRef

13.

Brown, D. W., Brown, D. R., Heath, G. W., Balluz, L., Giles, W. H., Ford, E. S., et al. (2004). Associations between physical activity dose and health-related quality of life. Medicine and Science in Sports and Exercise, 36(5), 890–896.PubMed

14.

Shoup, J. A., Gattshall, M., Dandamudi, P., & Estabrooks, P. (2008). Physical activity, quality of life, and weight status in overweight children. Quality of Life Research, 17(3), 407–412.PubMedCrossRef

15.

Iannotti, R. J., Kogan, M. D., Janssen, I., & Boyce, W. F. (2009). Patterns of adolescent physical activity, screen-based media use, and positive and negative health indicators in the U.S. and Canada. Journal of Adolescent Health, 44(5), 493–499.PubMedCrossRef

16.

Iannotti, R. J., Janssen, I., Haug, E., Kololo, H., Annaheim, B., & Borraccino, A. (2009). Interrelationships of adolescent physical activity, screen-based sedentary behaviour, and social and psychological health. International Journal of Public Health, 54(Suppl 2), 191–198.PubMedCrossRef

17.

Aarnio, M., Winter, T., Kujala, U., & Kaprio, J. (2002). Associations of health related behaviour, social relationships, and health status with persistent physical activity and inactivity: A study of Finnish adolescent twins. British Journal of Sports Medicine, 36(5), 360–364.PubMedCrossRef

18.

Kantomaa, M. T., Tammelin, T. H., Demakakos, P., Ebeling, H. E., & Taanila, A. M. (2010). Physical activity, emotional and behavioural problems, maternal education and self-reported educational performance of adolescents. Health Education Research, 25(2), 368–379.PubMedCrossRef

19.

Ussher, M. H., Owen, C. G., Cook, D. G., & Whincup, P. H. (2007). The relationship between physical activity, sedentary behaviour and psychological wellbeing among adolescents. Social Psychiatry and Psychiatric Epidemiology, 42(10), 851–856.PubMedCrossRef

20.

Steptoe, A., & Butler, N. (1996). Sports participation and emotional wellbeing in adolescents. Lancet, 347(9018), 1789–1792.PubMedCrossRef

21.

Fulton, J. E., Wang, X., Yore, M. M., Carlson, S. A., Galuska, D. A., & Caspersen, C. J. (2009). Television viewing, computer use, and BMI among U.S. children and adolescents. Journal of Physical Activity and Health, 6(Suppl 1), S28–S35.PubMed

22.

Eisenmann, J. C., Bartee, R. T., & Wang, M. Q. (2002). Physical activity, TV viewing, and weight in U.S. youth: 1999 Youth Risk Behavior Survey. Obesity Research, 10(5), 379–385.PubMedCrossRef

23.

Hardy, L. L., Dobbins, T., Booth, M. L., Denney-Wilson, E., & Okely, A. D. (2006). Sedentary behaviours among Australian adolescents. Australian and New Zealand Journal of Public Health, 30(6), 534–540.PubMedCrossRef

24.

Burke, V., Beilin, L. J., Durkin, K., Stritzke, W. G., Houghton, S., & Cameron, C. A. (2006). Television, computer use, physical activity, diet and fatness in Australian adolescents. International Journal of Pediatric Obesity, 1(4), 248–255.PubMedCrossRef

25.

Department of Health and Ageing. (2004). Australia’s physical activity recommendations for 12–18 year olds. Canberra, ACT: Department of Health and Ageing. Available from: http://www.health.act.gov.au/c/health?a=sendfile&ft=p&fid=-225689077&sid=.

26.

Schultz, J., Utter, J., Mathews, L., Cama, T., Mavoa, H., & Swinburn, B. (2007). The Pacific OPIC Project (Obesity Prevention in Communities): Action plans and interventions. Pacific Health Dialog, 14(2), 147–153.PubMed

27.

Swinburn, B., Pryor, J., McCabe, M., Carter, R., de Courten, M., Schaaf, D., et al. (2007). The Pacific OPIC Project (Obesity Prevention in Communities)—Objectives and designs. Pacific Health Dialog, 14(2), 139–146.PubMed

28.

Utter, J., Scragg, R., Schaaf, D., & Mhurchu, C. N. (2008). Relationships between frequency of family meals, BMI and nutritional aspects of the home food environment among New Zealand adolescents. International Journal of Behavioral Nutrition and Physical Activity, 5, 50.PubMedCrossRef

29.

Mathews, L., Kremer, P., Sanigorski, A., Simmons, A., Nichols, M., Moodie, M., et al. (2009). Nutrition and physical activity in children and adolescents: Report 1: Methods and tools. Melbourne: Department of Human Services (Victoria). Available from: http://hdl.handle.net/10536/DRO/DU:30023891.

30.

Australian Bureau of Statistics. (2010). Information paper: An introduction to socio-economic indexes for areas (SEIFA), 2006. ABS Catalogue No. 2039.0. Canberra, ACT: Australian Bureau of Statistics. Available from: http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/2039.0Main%20Features32006.

31.

Ministry of Health. (2003). NZ food NZ children: Key results of the 2002 national children’s nutrition survey. Wellington: Ministry of Health. Available from: http://www.moh.govt.nz/moh.nsf/pagesmh/4330.

32.

Varni, J. W., Seid, M., & Rode, C. A. (1999). The PedsQL: Measurement model for the pediatric quality of life inventory. Medical Care, 37(2), 126–139.PubMedCrossRef

33.

Varni, J. W., Seid, M., & Kurtin, P. S. (2001). PedsQL 4.0: Reliability and validity of the Pediatric Quality of Life Inventory version 4.0 generic core scales in healthy and patient populations. Medical Care, 39(8), 800–812.PubMedCrossRef

34.

Varni, J. W., Burwinkle, T. M., Seid, M., & Skarr, D. (2003). The PedsQL 4.0 as a pediatric population health measure: Feasibility, reliability, and validity. Ambulatory Pediatrics, 3(6), 329–341.PubMedCrossRef

35.

Davies, P., Roodvelt, R., & Marks, G. (2001). Standard methods for the collection and collation of anthropometric data in children. Canberra, ACT: National Food and Nutrition Moniotirng and Surveillance Project. Available from: http://www.health.gov.au/internet/main/publishing.nsf/Content/0B5E175AB3EBA8F8CA256F190004C273/$File/anthropometric.pdf.

36.

de Onis, M., Onyango, A. W., Borghi, E., Siyam, A., Nishida, C., & Siekmann, J. (2007). Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World Health Organization, 85(9), 660–667.PubMedCrossRef

37.

Pate, R. R., Davis, M. G., Robinson, T. N., Stone, E. J., McKenzie, T. L., & Young, J. C. (2006). Promoting physical activity in children and youth: A leadership role for schools: A scientific statement from the American Heart Association Council on Nutrition, Physical Activity, and Metabolism (Physical Activity Committee) in collaboration with the Councils on Cardiovascular Disease in the Young and Cardiovascular Nursing. Circulation, 114(11), 1214–1224.PubMedCrossRef

38.

Boyle, S. E., Jones, G. L., & Walters, S. J. (2010). Physical activity, quality of life, weight status and diet in adolescents. Quality of Life Research, 19(7), 943–954.PubMedCrossRef

39.

Sallis, J. F., Prochaska, J. J., & Taylor, W. C. (2000). A review of correlates of physical activity of children and adolescents. Medicine and Science in Sports and Exercise, 32(5), 963–975.PubMed

40.

Vogt Yuan, A. S. (2010). Body perceptions, weight control behavior, and changes in adolescents’ psychological well-being over time: A longitudinal examination of gender. Journal of Youth and Adolescence, 39(8), 927–939.PubMedCrossRef

41.

Hallal, P. C., Victora, C. G., Azevedo, M. R., & Wells, J. C. (2006). Adolescent physical activity and health: A systematic review. Sports Medicine, 36(12), 1019–1030.PubMedCrossRef

42.

Page, A. S., Cooper, A. R., Griew, P., & Jago, R. (2010). Children’s screen viewing is related to psychological difficulties irrespective of physical activity. Pediatrics, 126(5), e1011–e1017.PubMedCrossRef

43.

Brown, J. D., & Witherspoon, E. M. (2002). The mass media and American adolescents’ health. Journal of Adolescent Health, 31(6 Suppl), 153–170.PubMedCrossRef

44.

Allender, S., Kremer, P., de Silva-Sanigorski, A., Lacy, K., Millar, L., Mathews, L., et al. (in press). Associations between activity-related behaviours and standardized BMI among Australian adolescents. Journal of Science and Medicine in Sport (corrected proof).

45.

Varni, J. W., Limbers, C. A., & Burwinkle, T. M. (2007). Impaired health-related quality of life in children and adolescents with chronic conditions: A comparative analysis of 10 disease clusters and 33 disease categories/severities utilizing the PedsQL (TM) 4.0 Generic Core Scales. Health and Quality of Life Outcomes, 5(43).

46.

Carlson, S. A., Fulton, J. E., Lee, S. M., Foley, J. T., Heitzler, C., & Huhman, M. (2010). Influence of limit-setting and participation in physical activity on youth screen time. Pediatrics, 126(1), e89–e96.PubMedCrossRef

Titel: Screen time and physical activity behaviours are associated with health-related quality of life in Australian adolescents
Auteurs: 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
Publicatiedatum: 01-08-2012
Uitgeverij: Springer Netherlands
Gepubliceerd in: Quality of Life Research / Uitgave 6/2012
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-011-0014-5

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Purpose

Methods

Results

Conclusions

Log in om toegang te krijgen

Andere artikelen Uitgave 6/2012

Self-report fatigue questionnaires in multiple sclerosis, Parkinson’s disease and stroke: a systematic review of measurement properties

Choice of recall period for patient-reported outcome (PRO) measures: criteria for consideration

Factors associated with subjective quality of life in Korean patients with depressive disorders: the CRESCEND study

Quality of life in panic disorder: looking beyond symptom remission

Quality of life of patients in renal replacement therapy in Brazil: comparison of treatment modalities

The associations among coping, nadir CD4+ T-cell count, and non-HIV-related variables with health-related quality of life among an ambulatory HIV-positive patient population