Literature DB >> 30303936

Twenty-Year Trajectories of Physical Activity Types from Midlife to Old Age.

Daniel Aggio1,2, Efstathios Papachristou3, Olia Papacosta1, Lucy T Lennon1, Sarah Ash1, Peter H Whincup4, S Goya Wannamethee1, Barbara J Jefferis1,2.   

Abstract

PURPOSE: Correlates of physical activity (PA) vary according to type. However, predictors of long-term patterns of PA types into old age are unknown. This study aimed to identify 20-yr trajectories of PA types into old age and their predictors.
METHODS: Seven thousand seven hundred thirty-five men (age, 40-59 yr) recruited from UK towns in 1978 to 1980 were followed up after 12, 16, and 20 yr. Men reported participation in sport/exercise, recreational activity and walking, health status, lifestyle behaviors and socio-demographic characteristics. Group-based trajectory modeling identified the trajectories of PA types and associations with time-stable and time-varying covariates.
RESULTS: Men with ≥3 measures of sport/exercise (n = 5116), recreational activity (n = 5085) and walking (n = 5106) respectively were included in analyses. Three trajectory groups were identified for sport/exercise, four for recreational activity and three for walking. Poor health, obesity and smoking were associated with reduced odds of following a more favorable trajectory for all PA types. A range of socioeconomic, regional and lifestyle factors were also associated with PA trajectories but the magnitude and direction were specific to PA type. For example, men with manual occupations were less likely to follow a favorable sport/exercise trajectory but more likely to follow an increasing walking trajectory compared to men with nonmanual occupations. Retirement was associated with increased PA but this was largely due to increased sport/exercise participation.
CONCLUSIONS: Physical activity trajectories from middle to old age vary by activity type. The predictors of these trajectories and effects of major life events, such as retirement, are also specific to the type of PA.

Entities:  

Mesh:

Year:  2019        PMID: 30303936      PMCID: PMC6354913          DOI: 10.1249/MSS.0000000000001802

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  23 in total

1.  Leisure-time physical activity among older adults. United States, 1990.

Authors:  H R Yusuf; J B Croft; W H Giles; R F Anda; M L Casper; C J Caspersen; D A Jones
Journal:  Arch Intern Med       Date:  1996-06-24

2.  How do type and size of natural environments relate to physical activity behavior?

Authors:  F M Jansen; D F Ettema; C B M Kamphuis; F H Pierik; M J Dijst
Journal:  Health Place       Date:  2017-05-13       Impact factor: 4.078

3.  Green space is associated with walking and moderate-to-vigorous physical activity (MVPA) in middle-to-older-aged adults: findings from 203 883 Australians in the 45 and Up Study.

Authors:  Thomas Astell-Burt; Xiaoqi Feng; Gregory S Kolt
Journal:  Br J Sports Med       Date:  2013-04-30       Impact factor: 13.800

4.  Physical activity from childhood to adulthood: a 21-year tracking study.

Authors:  Risto Telama; Xiaolin Yang; Jorma Viikari; Ilkka Välimäki; Olli Wanne; Olli Raitakari
Journal:  Am J Prev Med       Date:  2005-04       Impact factor: 5.043

5.  Intergenerational social class stability and mobility are associated with large absolute differences in adult participation in sport and exercise.

Authors:  Frank Popham
Journal:  Br J Sports Med       Date:  2009-05-20       Impact factor: 13.800

Review 6.  Correlates of physical activity: why are some people physically active and others not?

Authors:  Adrian E Bauman; Rodrigo S Reis; James F Sallis; Jonathan C Wells; Ruth J F Loos; Brian W Martin
Journal:  Lancet       Date:  2012-07-21       Impact factor: 79.321

7.  Physical activity during work, transport and leisure in Germany--prevalence and socio-demographic correlates.

Authors:  Birgit Wallmann-Sperlich; Ingo Froboese
Journal:  PLoS One       Date:  2014-11-12       Impact factor: 3.240

8.  Patterns and correlates of physical activity: a cross-sectional study in urban Chinese women.

Authors:  Adriana L Jurj; Wanqing Wen; Yu-Tang Gao; Charles E Matthews; Gong Yang; Hong-Lan Li; Wei Zheng; Xiao-Ou Shu
Journal:  BMC Public Health       Date:  2007-08-21       Impact factor: 3.295

9.  Changes in household, transport and recreational physical activity and television viewing time across the transition to retirement: longitudinal evidence from the EPIC-Norfolk cohort.

Authors:  Inka Barnett; Esther van Sluijs; David Ogilvie; Nicholas J Wareham
Journal:  J Epidemiol Community Health       Date:  2013-12-02       Impact factor: 6.286

10.  Validity of questionnaire-based assessment of sedentary behaviour and physical activity in a population-based cohort of older men; comparisons with objectively measured physical activity data.

Authors:  Barbara J Jefferis; Claudio Sartini; Sarah Ash; Lucy T Lennon; S Goya Wannamethee; Peter H Whincup
Journal:  Int J Behav Nutr Phys Act       Date:  2016-02-04       Impact factor: 6.457

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  3 in total

1.  Tracking of sport and exercise types from midlife to old age: a 20-year cohort study of British men.

Authors:  Daniel Aggio; Olia Papacosta; Lucy T Lennon; Sarah Ash; Peter H Whincup; S Goya Wannamethee; Barbara J Jefferis
Journal:  Eur Rev Aging Phys Act       Date:  2018-12-07       Impact factor: 3.878

2.  Daily Step Counts in Patients With Chronic Kidney Disease: A Systematic Review and Meta-Analysis of Observational Studies.

Authors:  Fan Zhang; Yibo Ren; Hui Wang; Yan Bai; Liuyan Huang
Journal:  Front Med (Lausanne)       Date:  2022-02-17

3.  Physical Activity Trajectories among Persons of Turkish Descent Living in Germany-A Cohort Study.

Authors:  Lilian Krist; Christina Dornquast; Thomas Reinhold; Heiko Becher; Katja Icke; Ina Danquah; Stefan N Willich; Thomas Keil
Journal:  Int J Environ Res Public Health       Date:  2020-08-31       Impact factor: 3.390

  3 in total

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