Tracking of voluntary exercise behaviour over the lifespan

被引:43
作者
van der Zee, Matthijs D. [1 ]
van der Mee, Denise [1 ]
Bartels, Meike [1 ]
de Geus, Eco J. C. [1 ]
机构
[1] Vrije Univ Amsterdam, Dept Biol Psychol, Netherlands Twin Register, Boechorststr 7, NL-1081 BT Amsterdam, Netherlands
基金
美国国家卫生研究院; 欧洲研究理事会;
关键词
Longitudinal stability; Behavioural trends; Leisure time physical activity; Lifespan; Competitive exercise; Team exercise; PHYSICAL-ACTIVITY; SPORT PARTICIPATION; LEISURE-TIME; CHILDHOOD; STABILITY; RISK; FITNESS; ADOLESCENCE; ADULTHOOD; PATTERNS;
D O I
10.1186/s12966-019-0779-4
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
BackgroundThe aim of many physical activity interventions is to develop life-long habits of regular exercise and sports activities in leisure time. Previous studies that assessed tracking (i.e. the stability of a trait over the lifespan) of leisure time exercise behaviour across various parts of the life span have treated it as a uniform construct by summing all types of leisure time exercise activities into a single summary score for the total volume of exercise. This study provides new insight by additionally determining tracking across leisure time exercise activities in six different domains: (1) team-based versus solitary activities, (2) competitive versus non-competitive activities, and (3) externally paced versus internally paced activities. We also assessed which of the domains of exercise activities best predicted total volume of exercise at follow-up.MethodsA large dataset (N=43,889) from the Netherlands Twin Register (NTR) was used to analyse the tracking of exercise behaviour over time. Using this dataset, we were able to examine tracking as a function of baseline age (8 to 80years) and tracking duration (2 to 22-year follow-up), taking into account sex differences, using generalized estimating equations.ResultsTwo-year tracking coefficients are moderate to high for total volume of exercise across ages at baseline, ranging from .38 to .77 with a median of .57. Tracking coefficients tend to decrease as the distance to follow-up increases, down to a median of .38 for the 22-year tracking coefficients. The patterns of tracking were largely domain-independent and were largely similar for solitary, competitive, non-competitive, externally and internally paced activities. With the exception of team-based activities, tracking was seen to increase as a function of baseline age. Cross-domain tracking did not favour any specific domain of exercise activity as the best predictor for total volume of exercise behaviour and this was true at all baseline ages.ConclusionWe conclude that exercise behaviour is moderately to highly stable across the life span. In particular in adulthood, where the tracking of exercise mimics that of a classical behavioural trait like personality. This stability reinforces existing evidence that exercise habits are hard to change, but at the same time suggests that successful intervention leading to the adoption of exercise habits will tend to last.
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页数:11
相关论文
共 43 条
[1]   Stability of leisure-time physical activity during adolescence - a longitudinal study among 16-, 17- and 18-year-old Finnish youth [J].
Aarnio, M ;
Winter, T ;
Peltonen, J ;
Kujala, UM ;
Kaprio, J .
SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS, 2002, 12 (03) :179-185
[2]   2011 Compendium of Physical Activities: A Second Update of Codes and MET Values [J].
Ainsworth, Barbara E. ;
Haskell, William L. ;
Herrmann, Stephen D. ;
Meckes, Nathanael ;
Bassett, David R., Jr. ;
Tudor-Locke, Catrine ;
Greer, Jennifer L. ;
Vezina, Jesse ;
Whitt-Glover, Melicia C. ;
Leon, Arthur S. .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2011, 43 (08) :1575-1581
[3]  
Anderssen N, 1996, AM J EPIDEMIOL, V143, P351, DOI 10.1093/oxfordjournals.aje.a008749
[4]  
[Anonymous], 2016, DERTIG MEEST BEOEFEN
[5]   Physical activity and the risk of type 2 diabetes: a systematic review and dose-response meta-analysis [J].
Aune, Dagfinn ;
Norat, Teresa ;
Leitzmann, Michael ;
Tonstad, Serena ;
Vatten, Lars Johan .
EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2015, 30 (07) :529-542
[6]   Distinct trajectories of leisure time physical activity and predictors of trajectory class membership: a 22 year cohort study [J].
Barnett, Tracie A. ;
Gauvin, Lise ;
Craig, Cora L. ;
Katzmarzyk, Peter T. .
INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2008, 5 (1)
[7]   Reduced physical activity and risk of chronic disease: the biology behind the consequences [J].
Booth, Frank W. ;
Laye, Matthew J. ;
Lees, Simon J. ;
Rector, R. Scott ;
Thyfault, John P. .
EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY, 2008, 102 (04) :381-390
[8]  
da Silva AR, 1980, ARQUIVOS BRASILEIROS, V32, P128
[9]   Testing causality in the association between regular exercise and symptoms of anxiety and depression [J].
De Moor, Marleen H. M. ;
Boomsma, Dorret I. ;
Stubbe, Janine H. ;
Willemsen, Gonneke ;
de Geus, Eco J. C. .
ARCHIVES OF GENERAL PSYCHIATRY, 2008, 65 (08) :897-905
[10]   Exercise Participation in Adolescents and Their Parents: Evidence for Genetic and Generation Specific Environmental Effects [J].
De Moor, Marleen H. M. ;
Willemsen, Gonneke ;
Rebollo-Mesa, Irene ;
Stubbe, Janine H. ;
De Geus, Eco J. C. ;
Boomsma, Dorret I. .
BEHAVIOR GENETICS, 2011, 41 (02) :211-222