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Quality of Life Research
Gepubliceerd in: Quality of Life Research 6/2018

23-01-2018

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

Auteurs: 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

Gepubliceerd in: Quality of Life Research | Uitgave 6/2018

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Abstract

Purpose

Health-related quality of life has been related to physical activity, sedentary behavior, and sleep among children from developed nations. These relationships have rarely been assessed in developing nations, nor have behaviors been considered in their true context, as mutually exclusive and exhaustive parts of the movement behavior composition. This study aimed to explore whether children’s health-related quality of life is related to their movement behavior composition and if the relationship differs according to human development index.

Methods

Children aged 9–11 years (n = 5855), from the 12-nation cross-sectional observational International Study of Childhood Obesity, Lifestyle and the Environment 2011–2013, self-reported their health-related quality of life (KIDSCREEN-10). Daily movement behaviors were from 24-h, 7-day accelerometry. Isometric log-ratio mixed-effect linear models were used to calculate estimates for difference in health-related quality of life for the reallocation of time between daily movement behaviors.

Results

Children from countries of higher human development index reported stronger positive relationships between health-related quality of life and moderate-to-vigorous physical activity, relative to the remaining behaviors (r = 0.75, p = 0.005) than those from lower human development index countries. In the very high human development index strata alone, health-related quality of life was significantly related to the movement behavior composition (p = 0.005), with moderate-to-vigorous physical activity (relative to remaining behaviors) being positively associated with health-related quality of life.

Conclusions

The relationship between children’s health-related quality of life and their movement behaviors is moderated by their country’s human development index. This should be considered when 24-h movement behavior guidelines are developed for children around the world.
vorige artikel Differences in health-related quality of life by academic performance in children of the city of Cordoba-Argentina
volgende artikel Health-related quality of life of Portuguese children and adolescents according to their biological maturation and volume of physical activity
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Literatuur
1.
Ravens-Sieberer, U., Gosch, A., Rajmil, L., Erhart, M., Bruil, J., Duer, W., et al. (2005). KIDSCREEN-52 quality-of-life measure for children and adolescents. Expert Review of Pharmacoeconomics & Outcomes Research, 5(3), 353–364.CrossRef
2.
Seid, M., Varni, J. W., Segall, D., & Kurtin, P. S. (2004). Health-related quality of life as a predictor of pediatric healthcare costs: A two-year prospective cohort analysis. Health and Quality of Life Outcomes, 2(1), 48.CrossRefPubMedPubMedCentral
3.
Drotar, D. (2014). Measuring health-related quality of life in children and adolescents: Implications for research and practice. New York: Psychology PressCrossRef
4.
Chen, G., Ratcliffe, J., Olds, T., Magarey, A., Jones, M., & Leslie, E. (2014). BMI, health behaviors, and quality of life in children and adolescents: A school-based study. Pediatrics, 133(4), e868-e874.CrossRef
5.
Gopinath, B., Hardy, L. L., Baur, L. A., Burlutsky, G., & Mitchell, P. (2012). Physical activity and sedentary behaviors and health-related quality of life in adolescents. Pediatrics, 130(1), e167-e174.CrossRef
6.
Wu, X. Y., Ohinmaa, A., & Veugelers, P. J. (2012). Diet quality, physical activity, body weight and health-related quality of life among grade 5 students in Canada. Public Health Nutrition, 15(01), 75–81.CrossRefPubMed
7.
Omorou, A. Y., Langlois, J., Lecomte, E., Briançon, S., & Vuillemin, A. (2016). Cumulative and bidirectional association of physical activity and sedentary behaviour with health-related quality of life in adolescents. Quality of Life Research, 25(5), 1169–1178.CrossRefPubMed
8.
Dumuid, D., Olds, T., Lewis, L. K., Martin-Fernández, J. A., Katzmarzyk, P. T., Barreira, T., et al. (2017). Health-related quality of life and lifestyle behavior clusters in school-aged children from 12 countries. The Journal of Pediatrics, 183, 178–183.e172.CrossRefPubMed
9.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
10.
Lacy, K. E., Allender, S. E., Kremer, P. J., de Silva-Sanigorski, A. M., Millar, L. M., Moodie, M. L., et al. (2012). Screen time and physical activity behaviours are associated with health-related quality of life in Australian adolescents. Quality of Life Research, 21(6), 1085–1099.CrossRefPubMed
11.
Fazah, A., Jacob, C., Moussa, E., El-Hage, R., Youssef, H., & Delamarche, P. (2010). Activity, inactivity and quality of life among Lebanese adolescents. Pediatrics International, 52(4), 573–578.CrossRefPubMed
12.
Pedišić, Ž. (2014). Measurement issues and poor adjustments for physical activity and sleep undermine sedentary behaviour research—The focus should shift to the balance between sleep, sedentary behaviour, standing and activity. Kinesiology, 46(1), 135–146.
13.
14.
15.
Katzmarzyk, P. T., & Mason, C. (2009). The physical activity transition. Journal of Physical Activity & Health, 6(3), 269–280.CrossRef
16.
Guthold, R., Cowan, M. J., Autenrieth, C. S., Kann, L., & Riley, L. M. (2010). Physical activity and sedentary behavior among schoolchildren: A 34-country comparison. The Journal of Pediatrics, 157(1), 43–49. e41.CrossRefPubMed
17.
Katzmarzyk, P. T., Barreira, T. V., Broyles, S. T., Champagne, C. M., Chaput, J.-P., Fogelholm, M., et al. (2013). The international study of childhood obesity, lifestyle and the environment (ISCOLE): Design and methods. BMC Public Health, 13(1), E900.CrossRef
18.
Ravens-Sieberer, U., & Europe, K. G. (2006). The Kidscreen questionnaires: Quality of life questionnaires for children and adolescents; handbook. Lengerich: Pabst Science Publishers.
19.
Ravens-Sieberer, U., Herdman, M., Devine, J., Otto, C., Bullinger, M., Rose, M., et al. (2014). The European KIDSCREEN approach to measure quality of life and well-being in children: Development, current application, and future advances. Quality of Life Research, 23(3), 791–803.CrossRefPubMed
20.
Hidalgo-Rasmussen, C. A., Rajmil, L., & Espinoza, R. M. (2014). Cross-cultural adaptation of the KIDSCREEN questionnaire to measure health-related quality of life in the 8 to18 year-old Mexican population. Ciência & Saúde Coletiva, 19(7), 2215–2224.CrossRef
21.
Molina, G., Montaño, E., González, A., Sepúlveda, P., Hidalgo-Rasmussen, C., Martínez, N., et al. (2014). Psychometric properties of the quality of life questionnaire health related KIDSCREEN-27 in Chilean adolescents. Revista Medica de Chile, 142(11), 1415–1421.CrossRef
22.
Parizi, A. S., Garmaroudi, G., Fazel, M., Omidvari, S., Azin, S. A., Montazeri, A., et al. (2014). Psychometric properties of KIDSCREEN health-related quality of life questionnaire in Iranian adolescents. Quality of Life Research, 23(7), 2133–2138.CrossRefPubMed
23.
Masquillier, C., Wouters, E., Loos, J., & Nöstlinger, C. (2012). Measuring health-related quality of life of HIV-positive adolescents in resource-constrained settings. PLoS ONE, 7(7), e40628.CrossRefPubMedPubMedCentral
24.
Tudor-Locke, C., Barreira, T. V., Schuna, J. M., Mire, E. F., Chaput, J.-P., Fogelholm, M., et al. (2015). Improving wear time compliance with a 24-hour waist-worn accelerometer protocol in the international study of childhood obesity, lifestyle and the environment (ISCOLE). International Journal of Behavioral Nutrition and Physical Activity, 12(1), 1–9.CrossRef
25.
Barreira, T. V., Schuna, J. M., Jr., Mire, E. F., Katzmarzyk, P. T., Chaput, J.-P., Leduc, G., et al. (2015). Identifying children’s nocturnal sleep using 24-h waist accelerometry. Medicine and Science in Sports and Exercise, 47(5), 937–943.CrossRefPubMed
26.
Evenson, K. R., Catellier, D. J., Gill, K., Ondrak, K. S., & McMurray, R. G. (2008). Calibration of two objective measures of physical activity for children. Journal of Sports Sciences, 26(14), 1557–1565.CrossRefPubMed
27.
Barreira, T. V., Staiano, A. E., & Katzmarzyk, P. T. (2013). Validity assessment of a portable bioimpedance scale to estimate body fat percentage in White and African-American children and adolescents. Pediatric Obesity, 8(2), e29-e32.CrossRef
28.
de Onis, M., Onyango, A., 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.CrossRefPubMedPubMedCentral
29.
R Development Core Team. (2016). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from http://​www.​R-project.​org.
30.
van den Boogaart, K. G., & Tolosana-Delgado, R. (2008). “Compositions”: A unified R package to analyze compositional data. Computers & Geosciences, 34(4), 320–338.CrossRef
31.
Templ, M., Hron, K., & Filzmoser, P. (2011). robCompositions: An R-package for robust statistical analysis of compositional data. In V. Pawlowsky-Glahn & A. Buccianti (Eds.), Compositional data analysis: Theory and applications (pp. 341–355). Chichester: Wiley.CrossRef
32.
Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48.CrossRef
33.
Chastin, S. F., Palarea-Albaladejo, J., Dontje, M. L., & Skelton, D. A. (2015). Combined effects of time spent in physical activity, sedentary behaviors and sleep on obestiy and cardio-metabolic health markers: A novel compositional data analysis approach. PLoS ONE, 10(10), e0139984.
34.
Dumuid, D., Stanford, T., Pedišić, Ž., Maher, C., Lewis, L., Martín Fernández, J. A., et al. (2018). Adiposity and the isotemporal substitution of physical activity, sedentary time and sleep among school-aged children: A compositional data analysis approach. BMC Public Health (revisions).
35.
Aitchison, J. (1982). The statistical analysis of compositional data. Journal of the Royal Statistical Society. Series B (Methodological), 44, 139–177.
36.
Martín-Fernández, J. A., Barceló-Vidal, C., & Pawlowsky-Glahn, V. (2003). Dealing with zeros and missing values in compositional data sets using nonparametric imputation. Mathematical Geology, 35(3), 253–278.CrossRef
37.
Pawlowsky-Glahn, V., Egozcue, J. J., & Tolosana-Delgado, R. (2015). Modeling and analysis of compositional data. Chichester: Wiley.
38.
Loprinzi, P. D. (2015). Joint associations of objectively-measured sedentary behavior and physical activity with health-related quality of life. Preventive Medicine Reports, 2, 959–961.CrossRefPubMedPubMedCentral
39.
Galán, I., Boix, R., Medrano, M. J., Ramos, P., Rivera, F., Pastor-Barriuso, R., et al. (2013). Physical activity and self-reported health status among adolescents: A cross-sectional population-based study. British Medical Journal Open, 3(5), e002644.
40.
Elavsky, S., McAuley, E., Motl, R. W., Konopack, J. F., Marquez, D. X., Hu, L., et al. (2005). Physical activity enhances long-term quality of life in older adults: Efficacy, esteem, and affective influences. Annals of Behavioral Medicine, 30(2), 138–145.CrossRefPubMed
41.
Anokye, N. K., Trueman, P., Green, C., Pavey, T. G., & Taylor, R. S. (2012). Physical activity and health related quality of life. BMC Public Health, 12(1), 624.CrossRefPubMedPubMedCentral
42.
Carson, V., Tremblay, M. S., Chaput, J.-P., & Chastin, S. F. (2016). Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses 1. Applied Physiology, Nutrition, and Metabolism, 41(6), S294-S302.
43.
Baranowski, T., O’connor, T., Johnston, C., Hughes, S., Moreno, J., Chen, T.-A., et al. (2014). School year versus summer differences in child weight gain: A narrative review. Childhood Obesity, 10(1), 18–24.CrossRefPubMedPubMedCentral
44.
Lewis, L. K., Maher, C., Belanger, K., Tremblay, M., Chaput, J.-P., & Olds, T. (2016). At the mercy of the gods: associations between weather, physical activity, and sedentary time in children. Pediatric Exercise Science, 28(1), 152–163.CrossRefPubMed
45.
Jurakić, D., & Pedišić, Ž. (2012). Prevalence of insufficient physical activity in children and adolescents: Review. Paediatria Croatica, 56(4), 321–326.
46.
bin Shahril, M. R., Ahmad, bte, Zainuddin, A., Ismail, L. R.,bte, K. F., & Aung, M. M. T. (2016). Association between physical activity and health-related quality of life in children: A cross-sectional study. Health and Quality of Life Outcomes, 14(1), 71.CrossRef
47.
Petersen, S., Moodie, M., Mavoa, H., Waqa, G., Goundar, R., & Swinburn, B. (2014). Relationship between overweight and health-related quality of life in secondary school children in Fiji: Results from a cross-sectional population-based study. International Journal of Obesity, 38(4), 539–546.CrossRefPubMed
48.
Boodai, S. A., & Reilly, J. J. (2013). Health related quality of life of obese adolescents in Kuwait. BMC Pediatrics, 13(1), 1.CrossRef
49.
Pedišić, Ž., Rakovac, M., Titze, S., Jurakić, D., & Oja, P. (2014). Domain-specific physical activity and health-related quality of life in university students. European Journal of Sport Science, 14(5), 492–499.CrossRefPubMed
50.
Jurakić, D., Pedišić, Ž., & Greblo, Z. (2010). Physical activity in different domains and health-related quality of life: A population-based study. Quality of Life Research, 19(9), 1303–1309.CrossRefPubMed
51.
Khan, K. M., Thompson, A. M., Blair, S. N., Sallis, J. F., Powell, K. E., Bull, F. C., et al. (2012). Sport and exercise as contributors to the health of nations. The Lancet, 380(9836), 59–64.CrossRef
52.
LeBlanc, A. G., Katzmarzyk, P. T., Barreira, T. V., Broyles, S. T., Chaput, J.-P., Church, T. S., et al. (2015). Are participant characteristics from ISCOLE study sites comparable to the rest of their country? International Journal of Obesity Supplements, 5, S9-S16.CrossRefPubMedPubMedCentral
Metagegevens
Titel
Human development index, children’s health-related quality of life and movement behaviors: a compositional data analysis
Auteurs
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
Publicatiedatum
23-01-2018
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 6/2018
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-018-1791-x

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