Literature DB >> 22924445

Predictors of growth and decline in leisure time physical activity from adolescence to adulthood.

Lars Wichstrøm1, Tilmann von Soest, Ingela Lundin Kvalem.   

Abstract

OBJECTIVE: To study the predictors of change in leisure time physical activity (LTPA) from adolescence to young adulthood.
METHOD: A nationally representative sample of 3,251 Norwegian students between 12 and 19 years of age were initially surveyed, and follow-up surveys were conducted three times over a 13-year period. The initial response rate was 97%, and retention rates for the three follow-up sessions were 92%, 84%, and 82%, respectively. Four groups of predictors were assessed: sociodemographics, such as gender, age, parental socioeconomic status, pubertal status, and grades; previous LTPA, such as the amount of LTPA and sports club membership; athletic self-concept and depressive symptoms; and other health behaviors, such as smoking, dieting, and body mass. Autoregressive cross-lagged analyses were supplemented with latent growth-curve analyses.
RESULTS: Membership in a sports club and a positive athletic self-concept in adolescence predicted a high level of LTPA in adulthood, whereas smoking tobacco, high BMI, and depressive symptoms in adolescence predicted low levels of LTPA.
CONCLUSIONS: Engaging adolescents in organized sports and enhancing adolescents' athletic self-concept may increase the number of adults who are physically active. Preventive efforts to reduce tobacco consumption, obesity, and depression in adolescence may also contribute to an increase in adult LTPA. PsycINFO Database Record (c) 2013 APA, all rights reserved.

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Year:  2012        PMID: 22924445     DOI: 10.1037/a0029465

Source DB:  PubMed          Journal:  Health Psychol        ISSN: 0278-6133            Impact factor:   4.267


  21 in total

Review 1.  Childhood socioeconomic position and adult leisure-time physical activity: a systematic review.

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3.  Markers of pubertal timing and leisure-time physical activity from ages 36 to 68 years: findings from a British birth cohort.

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4.  Ownership and Use of Commercial Physical Activity Trackers Among Finnish Adolescents: Cross-Sectional Study.

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5.  Longitudinal relationships between self-concept for physical activity and neighborhood social life as predictors of physical activity among older African American adults.

Authors:  Allison M Sweeney; Dawn K Wilson; M Lee Van Horn
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6.  Organized Sport Participation and Physical Activity Levels among Adolescents with Functional Limitations.

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

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8.  Organized Sport Participation Is Associated with Higher Levels of Overall Health-Related Physical Activity in Children (CHAMPS Study-DK).

Authors:  Jeffrey J Hebert; Niels C Møller; Lars B Andersen; Niels Wedderkopp
Journal:  PLoS One       Date:  2015-08-11       Impact factor: 3.240

9.  Adolescents' physical activity trends over the years: a three-cohort study based on the Health Behaviour in School-aged Children (HBSC) Portuguese survey.

Authors:  Adilson Marques; Margarida Gaspar de Matos
Journal:  BMJ Open       Date:  2014-10-06       Impact factor: 2.692

10.  Association between maternal education and objectively measured physical activity and sedentary time in adolescents.

Authors:  Lauren B Sherar; Tom P Griffin; Ulf Ekelund; Ashley R Cooper; Dale W Esliger; Esther M F van Sluijs; Lars Bo Andersen; Greet Cardon; Rachel Davey; Karsten Froberg; Pedro C Hallal; Kathleen F Janz; Katarzyna Kordas; Susi Kriemler; Russell R Pate; Jardena J Puder; Luis B Sardinha; Anna F Timperio; Angie S Page
Journal:  J Epidemiol Community Health       Date:  2016-01-22       Impact factor: 3.710

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