Literature DB >> 22429125

Contextual and individual predictors of physical activity: Interactions between environmental factors and health cognitions.

Benjamin Schüz1, Susanne Wurm, Jochen P Ziegelmann, Julia K Wolff, Lisa M Warner, Ralf Schwarzer, Clemens Tesch-Römer.   

Abstract

OBJECTIVE: Although health behavior theories assume a role of the context in health behavior self-regulation, this role is often weakly specified and rarely examined. The two studies in this article test whether properties of the environment (districts) affect if and how health-related cognitions are translated into physical activity.
METHODS: Multilevel modeling was used to examine the assumed cross-level interactions. Study 1 is a large-scale survey representative of the German adult population (N = 6,201). Gross domestic product (GDP) on the level of administrative districts was used to indicate environmental opportunities and barriers. Study 2 examined cross-level interactions of proximal predictors of physical activity (intentions, action planning, and coping planning) in older adults with multiple illnesses (N = 309), a high-risk group for health deteriorations.
RESULTS: Study 1 showed that on the individual level, health attitudes (B = .11) and education (B = .71) were significantly associated with physical activity. GDP moderated the attitudes-behavior relation (B = .01), with higher attitude-behavior relations in districts with higher GDP. Study 2 finds that intention (B = .16), action planning (B = .17), and coping planning (B = .13) significantly predict activity. In addition, district-level GDP significantly moderated the relations between action planning and coping planning, but not intention, on physical activity.
CONCLUSIONS: Results suggest that the effects of health attitudes and planning on physical activity are moderated by environmental factors. Districts with higher GDP provide better contextual opportunities for the enactment of concrete if-then plans for physical activity. This has implications for both theory and health promotion.

Mesh:

Year:  2012        PMID: 22429125     DOI: 10.1037/a0027596

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


  8 in total

1.  Health motives and health behaviour self-regulation in older adults.

Authors:  Benjamin Schüz; Susanne Wurm; Lisa M Warner; Julia K Wolff; Ralf Schwarzer
Journal:  J Behav Med       Date:  2013-03-20

2.  Determinants of Obesity in Two Urban Communities: Perceptions and Community-Driven Solutions.

Authors:  Gabriela R Oates; Janice M Phillips; Lori B Bateman; Monica L Baskin; Mona N Fouad; Isabel C Scarinci
Journal:  Ethn Dis       Date:  2018-02-01       Impact factor: 1.847

3.  The MOVE study: a study protocol for a randomised controlled trial assessing interventions to maximise attendance at physical activity facilities.

Authors:  Joshua D Newton; Ruth Klein; Adrian Bauman; Fiona J Newton; Ajay Mahal; Kara Gilbert; Leon Piterman; Michael T Ewing; Robert J Donovan; Ben J Smith
Journal:  BMC Public Health       Date:  2015-04-18       Impact factor: 3.295

4.  Cohort Profile: The German Ageing Survey (DEAS).

Authors:  Daniela Klaus; Heribert Engstler; Katharina Mahne; Julia K Wolff; Julia Simonson; Susanne Wurm; Clemens Tesch-Römer
Journal:  Int J Epidemiol       Date:  2017-08-01       Impact factor: 7.196

5.  The MOVE Frankston study: 24-Month follow-up of a randomized controlled trial of incentives and support to increase leisure center usage and physical activity.

Authors:  Karine E Manera; Joshua Newton; Fiona Newton; Adrian Bauman; Robert J Donovan; Michael T Ewing; Ruth Mackenzie-Stewart; Ajay Mahal; Ben J Smith
Journal:  Prev Med Rep       Date:  2021-09-02

6.  Individual socioeconomic and neighborhood factors predict changes in sports activity during the transition to retirement.

Authors:  Dorothee Jürgens; Benjamin Schüz
Journal:  Eur Rev Aging Phys Act       Date:  2021-07-03       Impact factor: 3.878

7.  A longitudinal study examining uptake of new recreation infrastructure by inactive adults.

Authors:  Ben J Smith; Ruth MacKenzie-Stewart; Fiona J Newton; Tilahun N Haregu; Adrian Bauman; Robert J Donovan; Ajay Mahal; Michael T Ewing; Joshua D Newton
Journal:  Int J Behav Nutr Phys Act       Date:  2019-08-01       Impact factor: 6.457

8.  Is the intention-behaviour gap greater amongst the more deprived? A meta-analysis of five studies on physical activity, diet, and medication adherence in smoking cessation.

Authors:  Milica Vasiljevic; Yin-Lam Ng; Simon J Griffin; Stephen Sutton; Theresa M Marteau
Journal:  Br J Health Psychol       Date:  2015-08-12
  8 in total

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