The relationship of self-reported and device-based measures of physical activity and health-related quality of life in adolescents.
Accelerometry
KIDSCREEN-27
Objective activity assessment
Subjective activity assessment
Journal
Health and quality of life outcomes
ISSN: 1477-7525
Titre abrégé: Health Qual Life Outcomes
Pays: England
ID NLM: 101153626
Informations de publication
Date de publication:
01 Mar 2021
01 Mar 2021
Historique:
received:
21
07
2020
accepted:
21
01
2021
entrez:
2
3
2021
pubmed:
3
3
2021
medline:
21
5
2021
Statut:
epublish
Résumé
Physical activity (PA) has beneficial effects on health and health-related quality of life (HRQoL), which is a protective factor of illness and mortality. The purpose of this examination was to investigate if self-reported and device-based measures of PA were related to HRQoL in adolescents. Participants (N = 1565; 54.3% female; M Results showed that self-reported PA was correlated with overall HRQoL, Physical Well-Being, Psychological Well-Being, Social Support & Peers, and School Environment, whereas device-based PA was only correlated with Physical as well as Psychological Well-Being. Further, self-reported PA significantly predicted all facets of HRQoL except for Autonomy and Parent Relations, whereas device-based PA solely heightened the amount of explained variance in the Physical Well-Being subscale. Findings demonstrate the importance of self-reported PA as it is related to almost all facets of HRQoL. Both measures of PA are not congruent in their relationship with HRQoL and thus implications have to be carefully considered. Future studies should investigate the direct effect of PA on HRQoL and health in a longitudinal approach to account for the causality of effects.
Sections du résumé
BACKGROUND
BACKGROUND
Physical activity (PA) has beneficial effects on health and health-related quality of life (HRQoL), which is a protective factor of illness and mortality. The purpose of this examination was to investigate if self-reported and device-based measures of PA were related to HRQoL in adolescents.
METHODS
METHODS
Participants (N = 1565; 54.3% female; M
RESULTS
RESULTS
Results showed that self-reported PA was correlated with overall HRQoL, Physical Well-Being, Psychological Well-Being, Social Support & Peers, and School Environment, whereas device-based PA was only correlated with Physical as well as Psychological Well-Being. Further, self-reported PA significantly predicted all facets of HRQoL except for Autonomy and Parent Relations, whereas device-based PA solely heightened the amount of explained variance in the Physical Well-Being subscale.
CONCLUSIONS
CONCLUSIONS
Findings demonstrate the importance of self-reported PA as it is related to almost all facets of HRQoL. Both measures of PA are not congruent in their relationship with HRQoL and thus implications have to be carefully considered. Future studies should investigate the direct effect of PA on HRQoL and health in a longitudinal approach to account for the causality of effects.
Identifiants
pubmed: 33648492
doi: 10.1186/s12955-021-01682-3
pii: 10.1186/s12955-021-01682-3
pmc: PMC7923541
doi:
Types de publication
Comparative Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
67Subventions
Organisme : Bundesministerium für Bildung und Forschung (DE)
ID : 01ER1503
Références
Bize R, Johnson JA, Plotnikoff RC. Physical activity level and health-related quality of life in the general adult population: a systematic review. Prev Med. 2007;45(6):401–15.
pubmed: 17707498
doi: 10.1016/j.ypmed.2007.07.017
Sawyer MG, Whaites L, Rey JM, Hazell PL, Graetz BW, Baghurst P. Health-related quality of life of children and adolescents with mental disorders. J Am Acad Child Adolesc Psychiatry. 2002;41(5):530–7.
pubmed: 12014785
doi: 10.1097/00004583-200205000-00010
Varni JW, Limbers CA, Burwinkle TM. How young can children reliably and validly self-report their health-related quality of life?: An analysis of 8,591 children across age subgroups with the PedsQL 4.0 Generic Core Scales. Health Qual Life Outcomes. 2007;5:1.
pubmed: 17201920
pmcid: 1769360
doi: 10.1186/1477-7525-5-1
Pinhas-Hamiel O, Singer S, Pilpel N, Fradkin A, Modan D, Reichman B. Health-related quality of life among children and adolescents: associations with obesity. Int J Obes (Lond). 2006;30(2):267–72.
doi: 10.1038/sj.ijo.0803107
Ravens-Sieberer U, Erhart M, Wille N, Bullinger M, the BELLA study group. Health-related quality of life in children and adolescents in Germany: results of the BELLA study. Eur Child Adolesc Psychiatry. 2008;17(1):148–56.
pubmed: 19132314
doi: 10.1007/s00787-008-1016-x
Lester D. The association between the quality of life and suicide and homicide rates. J Soc Psychol. 1984;124(2):247–8.
pubmed: 6335738
doi: 10.1080/00224545.1984.9922853
Sothern MS, Loftin M, Suskind RM, Udall JN, Blecker U. The health benefits of physical activity in children and adolescents: implications for chronic disease prevention. Eur J Pediatr. 1999;158(4):271–4.
pubmed: 10206121
doi: 10.1007/s004310051070
Woods JA, Vieira VJ, Keylock KT. Exercise, inflammation, and innate immunity. Immunol Allergy Clin North Am. 2009;29(2):381–93.
pubmed: 19389588
doi: 10.1016/j.iac.2009.02.011
Tell GS, Vellar OD. Physical fitness, physical activity, and cardiovascular disease risk factors in adolescents: the Oslo youth study. Prev Med. 1988;17(1):12–24.
pubmed: 3362798
doi: 10.1016/0091-7435(88)90068-0
Holmen TL, Barrett-Connor E, Clausen J, Holmen J, Bjermer L. Physical exercise, sports, and lung function in smoking versus nonsmoking adolescents. Eur Respir J. 2002;19(1):8–15.
pubmed: 11843331
doi: 10.1183/09031936.02.00203502
Larun L, Nordheim LV, Ekeland E, Hagen KB, Heian F. Exercise in prevention and treatment of anxiety and depression among children and young people. Cochrane Database Syst Rev. 2006;3:CD004691.
Brown HE, Pearson N, Braithwaite RE, Brown WJ, Biddle SJH. Physical activity interventions and depression in children and adolescents: a systematic review and meta-analysis. Sports Med. 2013;43(3):195–206.
pubmed: 23329611
doi: 10.1007/s40279-012-0015-8
Biddle SJH, Asare M. Physical activity and mental health in children and adolescents: a review of reviews. Br J Sports Med. 2011;45(11):886–95.
pubmed: 21807669
doi: 10.1136/bjsports-2011-090185
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):e167–74.
pubmed: 22689863
doi: 10.1542/peds.2011-3637
Chai W, Nigg CR, Pagano IS, Motl RW, Horwath C, Dishman RK. Associations of quality of life with physical activity, fruit and vegetable consumption, and physical inactivity in a free living, multiethnic population in Hawaii: a longitudinal study. Int J Behav Nutr Phys Act. 2010;7:83.
pubmed: 21092223
pmcid: 2996342
doi: 10.1186/1479-5868-7-83
Paxton RJ, Motl RW, Aylward A, Nigg CR. Physical activity and quality of life—the complementary influence of self-efficacy for physical activity and mental health difficulties. Int J Behav Med. 2010;17(4):255–63.
pubmed: 20449700
doi: 10.1007/s12529-010-9086-9
Jekauc D, Reimers A, Woll A. Methoden der Aktivitätsmessung bei Kindern und Jugendlichen. Bewegungstherapie und Gesundheitssport. 2014;30(02):79–82.
Gillison FB, Standage M, Skevington SM. Relationships among adolescents’ weight perceptions, exercise goals, exercise motivation, quality of life and leisure-time exercise behaviour: a self-determination theory approach. Health Educ Res. 2006;21(6):836–47.
pubmed: 17101718
doi: 10.1093/her/cyl139
Hamer M, Stamatakis E. Objectively assessed physical activity, fitness and subjective wellbeing. Ment Health Phys Act. 2010;3(2):67–71.
doi: 10.1016/j.mhpa.2010.09.001
Anokye NK, Trueman P, Green C, Pavey TG, Taylor RS. Physical activity and health related quality of life. BMC Public Health. 2012;12:624.
pubmed: 22871153
pmcid: 3490805
doi: 10.1186/1471-2458-12-624
Marker AM, Steele RG, Noser AE. Physical activity and health-related quality of life in children and adolescents: a systematic review and meta-analysis. Health Psychol. 2018;37(10):893–903.
pubmed: 30234348
doi: 10.1037/hea0000653
Ekelund U, Tomkinson G, Armstrong N. What proportion of youth are physically active? Measurement issues, levels and recent time trends. Br J Sports Med. 2011;45(11):859–65.
pubmed: 21836170
doi: 10.1136/bjsports-2011-090190
Hagstromer M, Ainsworth BE, Oja P, Sjostrom M. Comparison of a subjective and an objective measure of physical activity in a population sample. J Phys Act Health. 2010;7(4):541–50.
pubmed: 20683097
doi: 10.1123/jpah.7.4.541
Adams SA, Matthews CE, Ebbeling CB, Moore CG, Cunningham JE, Fulton J, et al. The effect of social desirability and social approval on self-reports of physical activity. Am J Epidemiol. 2005;161(4):389–98.
pubmed: 15692083
pmcid: 2958515
doi: 10.1093/aje/kwi054
Michel G, Bisegger C, Fuhr DC, Abel T. Age and gender differences in health-related quality of life of children and adolescents in Europe: a multilevel analysis. Qual Life Res. 2009;18(9):1147–57.
pubmed: 19774493
doi: 10.1007/s11136-009-9538-3
Jekauc D, Wagner MO, Kahlert D, Woll A. Reliability and validity of MoMo-physical-activity-questionnaire for adolescents (MoMo-AFB). Diagnostica. 2013;59:100–11.
doi: 10.1026/0012-1924/a000083
Spengler S, Woll A. The more physically active, the healthier? The relationship between physical activity and health-related quality of life in adolescents: the MoMo study. J Phys Act Health. 2013;10(5):708–15.
pubmed: 23006665
doi: 10.1123/jpah.10.5.708
Mauz E, Gößwald A, Kamtsiuris P, Hoffmann R, Lange M, Schenck UV, et al. New data for action data collection for KiGGS wave 2 has been completed. J Health Monit. 2017;2(S3):2–27.
Hoffmann R, Lange M, Butschalowsky H, Houben R, Schmich P, Allen J, et al. KiGGS wave 2 cross-sectional study—participant acquisition, response rates and representativeness. J Health Monit. 2018;3(1):78–91.
Wagner MO, Bös K, Jekauc D, Karger C, Mewes N, Oberger J, et al. Cohort profile: the Motorik-Modul Longitudinal Study: physical fitness and physical activity as determinants of health development in German children and adolescents. Int J Epidemiol. 2014;43(5):1410–6.
pubmed: 23847291
doi: 10.1093/ije/dyt098
Kurth B-M, Kamtsiuris P, Hölling H, Schlaud M, Dölle R, Ellert U, et al. The challenge of comprehensively mapping children’s health in a nation-wide health survey: design of the German KiGGS-Study. BMC Public Health. 2008;8:196.
pubmed: 18533019
pmcid: 2442072
doi: 10.1186/1471-2458-8-196
Kamtsiuris P, Lange M, Schaffrath Rosario A. Der Kinder-und Jugendgesundheitssurvey (KiGGS): Stichprobendesign, Response und Nonresponse-Analyse. Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz. 2007;50(5–6):547–56.
pubmed: 17514438
doi: 10.1007/s00103-007-0215-9
Lampert T, Hoebel J, Kuntz B, Müters S, Kroll LE. Socioeconomic status and subjective social status measurement in KiGGS Wave 2. J Health Monit. 2018;3(1):108–25.
Schmidt SCE, Henn A, Albrecht C, Woll A. Physical activity of German children and adolescents 2003–2012: the MoMo-Study. Int J Environ Res Public Health. 2017;14(11):1375.
pmcid: 5708014
doi: 10.3390/ijerph14111375
pubmed: 5708014
Schmidt SCE, Will N, Henn A, Reimers A, Woll A. Der Motorik-Modul Aktivitätsfragebogen MoMo-AFB: Leitfaden zur Anwendung und Auswertung. Karlsruhe: KIT Scientific Working Papers; 2016.
Burchartz A, Manz K, Anedda B, Niessner C, Oriwol D, Schmidt SC, Woll A. Measurement of physical activity and sedentary behavior by accelerometry among a nationwide sample from the KiGGS and MoMo study: study protocol. JMIR Res Protoc. 2020;9(7):e14370.
Ravens-Sieberer U. The Kidscreen questionnaires: Quality of life questionnaires for children and adolescents: handbook. 3rd ed. Lengerich: Pabst Science Publishers; 2016.
Ravens-Sieberer U, Auquier P, Erhart M, Gosch A, Rajmil L, Bruil J, et al. The KIDSCREEN-27 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries. Qual Life Res. 2007;16(8):1347–56.
pubmed: 17668292
doi: 10.1007/s11136-007-9240-2
Ravens-Sieberer U, Herdman M, Devine J, Otto C, Bullinger M, Rose M, et al. The European KIDSCREEN approach to measure quality of life and well-being in children: development, current application, and future advances. Qual Life Res. 2014;23(3):791–803.
pubmed: 23686556
doi: 10.1007/s11136-013-0428-3
Lenhard, W, Lenhard, A. Hypothesis tests for comparing correlations. https://www.psychometrica.de/correlation.html . Accessed 29 Jan 2021.
Iglowstein I, Jenni OG, Molinari L, Largo RH. Sleep duration from infancy to adolescence: reference values and generational trends. Pediatrics. 2003;111(3):302–7.
pubmed: 12563055
doi: 10.1542/peds.111.2.302
Ellert U, Brettschneider A-K, Ravens-Sieberer U, KiGGS Study Group. Gesundheitsbezogene Lebensqualität bei Kindern und Jugendlichen in Deutschland. Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz. 2014;57(7):798–806.
pubmed: 24950829
doi: 10.1007/s00103-014-1978-4
Dyrstad SM, Hansen BH, Holme IM, Anderssen SA. Comparison of self-reported versus accelerometer-measured physical activity. Med Sci Sports Exerc. 2014;46(1):99–106.
pubmed: 23793232
doi: 10.1249/MSS.0b013e3182a0595f
Celis-Morales CA, Perez-Bravo F, Ibañez L, Salas C, Bailey MES, Gill JMR. Objective vs. self-reported physical activity and sedentary time: effects of measurement method on relationships with risk biomarkers. PLoS ONE. 2012;7(5):e36345.
pubmed: 22590532
pmcid: 3348936
doi: 10.1371/journal.pone.0036345
Blacklock RE, Rhodes RE, Brown SG. Relationship between regular walking, physical activity, and health-related quality of life. J Phys Act Health. 2007;4(2):138–52.
pubmed: 17570884
doi: 10.1123/jpah.4.2.138
Dumuid D, Maher C, Lewis LK, Stanford TE, Martín Fernández JA, Ratcliffe J, et al. Human development index, children’s health-related quality of life and movement behaviors: a compositional data analysis. Qual Life Res. 2018;27(6):1473–82.
pubmed: 29362939
pmcid: 7484943
doi: 10.1007/s11136-018-1791-x
Teychenne M, White RL, Richards J, Schuch FB, Rosenbaum S, Bennie JA. Do we need physical activity guidelines for mental health: What does the evidence tell us? Ment Health Phys Act. 2020;18:100315.
doi: 10.1016/j.mhpa.2019.100315
Sharma R, Yetton P, Crawford J. Estimating the effect of common method variance: the method—method pair technique with an illustration from TAM research. MIS Q. 2009;33(3):473–90.
doi: 10.2307/20650305
Sampasa-Kanyinga H, Standage M, Tremblay MS, Katzmarzyk PT, Hu G, Kuriyan R, et al. Associations between meeting combinations of 24-h movement guidelines and health-related quality of life in children from 12 countries. Public Health. 2017;153:16–24.
pubmed: 28818582
doi: 10.1016/j.puhe.2017.07.010
Watkinson C, van Sluijs EM, Sutton S, Hardeman W, Corder K, Griffin SJ. Overestimation of physical activity level is associated with lower BMI: a cross-sectional analysis. Int J Behav Nutr Phys Act. 2010;7:68.
pubmed: 20854659
pmcid: 2954949
doi: 10.1186/1479-5868-7-68
Migueles JH, Cadenas-Sanchez C, Ekelund U, Nyström CD, Mora-Gonzalez J, Löf M, et al. Accelerometer data collection and processing criteria to assess physical activity and other outcomes: a systematic review and practical considerations. Sports Med. 2017;47(9):1821–45.
pubmed: 28303543
pmcid: 6231536
doi: 10.1007/s40279-017-0716-0
Tudor-Locke C, Williams JE, Reis JP, Pluto D. Utility of pedometers for assessing physical activity: convergent validity. Sports Med. 2002;32(12):795–808.
pubmed: 12238942
doi: 10.2165/00007256-200232120-00004
Centers for Disease Control and Prevention. Measuring healthy days: population assessment of health-related quality of life. Atlanta: CDC; 2000.
Brown DW, Brown DR, Heath GW, Balluz L, Giles WH, Ford ES, et al. Associations between physical activity dose and health-related quality of life. Med Sci Sports Exerc. 2004;36(5):890–6.
pubmed: 15126726
doi: 10.1249/01.MSS.0000126778.77049.76