Literature DB >> 27406597

Individual Differences in Exercise Behavior: Stability and Change in Genetic and Environmental Determinants From Age 7 to 18.

Charlotte Huppertz1,2,3, Meike Bartels4,5, Eveline L de Zeeuw4,5, Catharina E M van Beijsterveldt4, James J Hudziak4,6, Gonneke Willemsen4,5, Dorret I Boomsma4,5, Eco J C de Geus4,5.   

Abstract

Exercise behavior during leisure time is a major source of health-promoting physical activity and moderately tracks across childhood and adolescence. This study aims to investigate the absolute and relative contribution of genes and the environment to variance in exercise behavior from age 7 to 18, and to elucidate the stability and change of genetic and shared environmental factors that underlie this behavior. The Netherlands Twin Register collected data on exercise behavior in twins aged approximately 7, 10, 12, 14, 16 and 18 years (N = 27,332 twins; 48 % males; 47 % with longitudinal assessments). Three exercise categories (low, middle, high) were analyzed by means of liability threshold models. First, a univariate model was fitted using the largest available cross-sectional dataset with linear and quadratic effects of age as modifiers on the means and variance components. Second, a simplex model was fitted on the longitudinal dataset. Heritability was low in 7-year-olds (14 % in males and 12 % in females), but gradually increased up to age 18 (79 % in males and 49 % in females), whereas the initially substantial relative influence of the shared environment decreased with age (from 80 to 4 % in males and from 80 to 19 % in females). This decrease was due to a large increase in the genetic variance. The longitudinal model showed the genetic effects in males to be largely stable and to accumulate from childhood to late adolescence, whereas in females, they were marked by both transmission and innovation at all ages. The shared environmental effects tended to be less stable in both males and females. In sum, the clear age-moderation of exercise behavior implies that family-based interventions might be useful to increase this behavior in children, whereas individual-based interventions might be better suited for adolescents. We showed that some determinants of individual differences in exercise behavior are stable across childhood and youth, whereas others come into play at specific ages. In view of the many benefits of regular exercise, identifying these determinants at specific ages should be a public health priority.

Entities:  

Keywords:  Adolescence; Age-moderation; Childhood; Physical activity; Simplex; Youth

Mesh:

Year:  2016        PMID: 27406597     DOI: 10.1007/s10519-016-9799-x

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  12 in total

1.  The Behavioral Medicine Research Council: Its origins, mission, and methods.

Authors:  Kenneth E Freedland
Journal:  Health Psychol       Date:  2019-04       Impact factor: 4.267

2.  Dopaminergic Genetic Variants and Voluntary Externally Paced Exercise Behavior.

Authors:  Denise J VAN DER Mee; Iryna O Fedko; Jouke-Jan Hottenga; Erik A Ehli; Matthijs D VAN DER Zee; Lannie Ligthart; Toos C E M VAN Beijsterveldt; Gareth E Davies; Meike Bartels; Joseph G Landers; Eco J C DE Geus
Journal:  Med Sci Sports Exerc       Date:  2018-04       Impact factor: 5.411

3.  Meta-analysis of physical activity and effects of social function and quality of life on the physical activity in patients with schizophrenia.

Authors:  Kazutaka Ohi; Yuzuru Kataoka; Takamitsu Shimada; Aki Kuwata; Hiroaki Okubo; Kohei Kimura; Toshiki Yasuyama; Takashi Uehara; Yasuhiro Kawasaki
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2018-05-22       Impact factor: 5.270

4.  The Interplay between Genes and Psychosocial Home Environment on Physical Activity.

Authors:  Sari Aaltonen; Jaakko Kaprio; Urho M Kujala; Lea Pulkkinen; Richard J Rose; Karri Silventoinen
Journal:  Med Sci Sports Exerc       Date:  2018-04       Impact factor: 5.411

5.  Extracurricular Activities, Screen Media Activity, and Sleep May Be Modifiable Factors Related to Children's Cognitive Functioning: Evidence From the ABCD Study®.

Authors:  Namik Kirlic; Janna M Colaizzi; Kelly T Cosgrove; Zsofia P Cohen; Hung-Wen Yeh; Florence Breslin; Amanda S Morris; Robin L Aupperle; Manpreet K Singh; Martin P Paulus
Journal:  Child Dev       Date:  2021-04-26

6.  The importance of social factors in the association between physical activity and depression in children.

Authors:  May I Conley; Isabella Hindley; Arielle Baskin-Sommers; Dylan G Gee; B J Casey; Monica D Rosenberg
Journal:  Child Adolesc Psychiatry Ment Health       Date:  2020-06-27       Impact factor: 3.033

7.  Predictors of Physical Activity in Middle Childhood. A Fixed-Effects Regression Approach.

Authors:  Tonje Zahl-Thanem; Silje Steinsbekk; Lars Wichstrøm
Journal:  Front Public Health       Date:  2018-10-24

8.  Tracking of voluntary exercise behaviour over the lifespan.

Authors:  Matthijs D van der Zee; Denise van der Mee; Meike Bartels; Eco J C de Geus
Journal:  Int J Behav Nutr Phys Act       Date:  2019-02-04       Impact factor: 6.457

9.  Heritability of heart rate recovery and vagal rebound after exercise.

Authors:  Ineke Nederend; Nienke M Schutte; Meike Bartels; Arend D J Ten Harkel; Eco J C de Geus
Journal:  Eur J Appl Physiol       Date:  2016-09-10       Impact factor: 3.078

Review 10.  Demographic, physical and mental health assessments in the adolescent brain and cognitive development study: Rationale and description.

Authors:  Deanna M Barch; Matthew D Albaugh; Shelli Avenevoli; Linda Chang; Duncan B Clark; Meyer D Glantz; James J Hudziak; Terry L Jernigan; Susan F Tapert; Debbie Yurgelun-Todd; Nelly Alia-Klein; Alexandra S Potter; Martin P Paulus; Devin Prouty; Robert A Zucker; Kenneth J Sher
Journal:  Dev Cogn Neurosci       Date:  2017-11-03       Impact factor: 6.464

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