Literature DB >> 22144006

Which domains of childhood physical activity predict physical activity in adulthood? A 20-year prospective tracking study.

Verity Cleland1, Terence Dwyer, Alison Venn.   

Abstract

PURPOSE: It is important to examine how childhood physical activity is related to adult physical activity in order to best tailor physical activity-promotion strategies. The time- and resource-intensive nature of studies spanning childhood into adulthood means the understanding of physical activity trajectories over this time span is limited. This study aimed to determine whether childhood domain-specific physical activities predict domain-specific physical activity 20 years later in adulthood, and whether age and sex play a role in these trajectories.
METHODS: In 1985, 6412 children of age 9-15 years self-reported frequency and duration of discretionary sport and exercise (leisure activity), transport activity, school sport and physical education (PE) in the past week and number of sports played in the past year. In 2004-2006, 2201 of these participants (aged 26-36 years) completed the long International Physical Activity Questionnaire and/or wore a Yamax pedometer. Analyses included partial correlation coefficients and log-binomial regression.
RESULTS: Childhood and adult activity were weakly correlated (r=-0.08-0.14). Total weekly physical activity in childhood did not predict adult activity. School PE predicted adult total weekly physical activity and daily steps (older females), while school sport demonstrated inconsistent associations. Leisure and transport activity in childhood predicted adult leisure activity among younger males and older females, respectively. Childhood past year sport participation positively predicted adult physical activity (younger males and older females).
CONCLUSIONS: Despite modest associations between childhood and adult physical activity that varied by domain, age and sex, promoting a range of physical activities to children of all ages is warranted.

Entities:  

Mesh:

Year:  2011        PMID: 22144006     DOI: 10.1136/bjsports-2011-090508

Source DB:  PubMed          Journal:  Br J Sports Med        ISSN: 0306-3674            Impact factor:   13.800


  24 in total

1.  Adolescent and Young Adult Recreational, Occupational, and Transportation Activity: Activity Recommendation and Weight Status Relationships.

Authors:  Connor A Moseley; Asheley C Skinner; Eliana M Perrin; Sarah C Armstrong; Eric D Peterson; Charlene A Wong
Journal:  J Adolesc Health       Date:  2019-04-01       Impact factor: 5.012

2.  Relation between self-recalled childhood physical activity and adult physical activity: The women's health initiative.

Authors:  Deborah Goodman; Hannah L Park; Marcia Stefanick; Erin LeBlanc; Jennifer Bea; Lihong Qi; Kristopher Kapphahn; Michael Lamonte; Tood Manini; Manisha Desai; Hoda Anton-Culver
Journal:  Open J Epidemiol       Date:  2013-11-01

3.  Diversity of leisure-time sport activities in adolescence as a predictor of leisure-time physical activity in adulthood.

Authors:  S Mäkelä; S Aaltonen; T Korhonen; R J Rose; J Kaprio
Journal:  Scand J Med Sci Sports       Date:  2017-01-20       Impact factor: 4.221

4.  Objectively Measured Physical Activity in Patients After Anterior Cruciate Ligament Reconstruction.

Authors:  David R Bell; Karin A Pfeiffer; Lisa A Cadmus-Bertram; Stephanie M Trigsted; Adam Kelly; Eric G Post; Joseph M Hart; Dane B Cook; Warren R Dunn; Christopher Kuenze
Journal:  Am J Sports Med       Date:  2017-04-18       Impact factor: 6.202

5.  Eliminating high-intensity activity during growth reduces mechanical power capacity but not submaximal metabolic cost in a bipedal animal model.

Authors:  Suzanne Michelle Cox; Matthew Q Salzano; Stephen J Piazza; Jonas Rubenson
Journal:  J Appl Physiol (1985)       Date:  2019-11-21

6.  Independent and combined effects of physical activity and sedentary behavior on blood pressure in adolescents: gender differences in two cross-sectional studies.

Authors:  Augusto César Ferreira de Moraes; Heráclito Barbosa Carvalho; Juan Pablo Rey-López; Luis Gracia-Marco; Laurent Beghin; Anthony Kafatos; David Jiménez-Pavón; Dénes Molnar; Stefaan De Henauw; Yannis Manios; Kurt Widhalm; Jonatan R Ruiz; Francisco B Ortega; Michael Sjöström; Angela Polito; Raquel Pedrero-Chamizo; Ascensión Marcos; Frederic Gottrand; Luis A Moreno
Journal:  PLoS One       Date:  2013-05-01       Impact factor: 3.240

7.  Number of years of participation in some, but not all, types of physical activity during adolescence predicts level of physical activity in adulthood: Results from a 13-year study.

Authors:  Mathieu Bélanger; Catherine M Sabiston; Tracie A Barnett; Erin O'Loughlin; Stéphanie Ward; Gisèle Contreras; Jennifer O'Loughlin
Journal:  Int J Behav Nutr Phys Act       Date:  2015-06-10       Impact factor: 6.457

8.  Tracking physical activity in different settings from late childhood to early adulthood in Germany: the MoMo longitudinal study.

Authors:  Annette Rauner; Darko Jekauc; Filip Mess; Steffen Schmidt; Alexander Woll
Journal:  BMC Public Health       Date:  2015-04-17       Impact factor: 3.295

9.  Social support from teachers mediates physical activity behavior change in children participating in the Fit-4-Fun intervention.

Authors:  Narelle Eather; Philip J Morgan; David R Lubans
Journal:  Int J Behav Nutr Phys Act       Date:  2013-05-28       Impact factor: 6.457

10.  Fit in 50 years: participation in high school sports best predicts one's physical activity after age 70.

Authors:  Simone Dohle; Brian Wansink
Journal:  BMC Public Health       Date:  2013-12-01       Impact factor: 3.295

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