Literature DB >> 28988999

Of weekend warriors and couch potatoes: Socio-economic determinants of physical activity in Swiss middle-aged adults.

Cédric Gubelmann1, Peter Vollenweider2, Pedro Marques-Vidal3.   

Abstract

Determinants of the interplay between physical activity (PA) and sedentary (SE) status are poorly known. We assessed the socio-economic determinants of PA and SE behaviours and patterns in a population-based study (The CoLaus study, Lausanne, Switzerland, 2014-2017). 2229 adults (51.8% women, age range 45-86 years) had PA and SE levels measured for 14 days using a wrist-worn accelerometer. Four activity behaviours: (1) 'Couch potato': low PA & high SE; (2) 'Light mover': low PA & low SE; (3) 'Sedentary exerciser': high PA & high SE, and (4) 'Busy bee': high PA & low SE; and three activity patterns: (1) 'Inactive', (2) 'Weekend warrior', and (3) 'Regularly active' were defined. Employment, household income and educational level were collected by questionnaire. For activity behaviours, relative to 'Couch potatoes', multivariate analysis showed that being employed and having a low educational level were positively associated with 'Light movers': relative risk ratios and (95% confidence interval): 1.54 (1.00-2.37) and 1.73 (1.11-2.69), respectively, and also with 'Busy bees': 1.49 (1.09-2.04) and 1.71 (1.26-2.32), respectively. High household income was negatively associated with 'Light movers': 0.58 (0.34-0.97) and positively with 'Sedentary exercisers': 1.85 (1.10-3.10). For activity patterns, relative to 'Inactives', being employed and having a high household income were positively associated with 'Weekend warriors': 1.78 (1.26-2.50) and 1.59 (1.07-2.36), respectively, while having a low educational level was positively associated with 'Regularly actives': 1.76 (1.32-2.34). Employment, educational level and household income are significantly but differently associated with activity behaviours and patterns.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Accelerometry; Epidemiology; Pattern; Physical activity; Sedentary behaviour; Socio-economic

Mesh:

Year:  2017        PMID: 28988999     DOI: 10.1016/j.ypmed.2017.10.016

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  6 in total

1.  Gender, age and socioeconomic variation in 24-hour physical activity by wrist-worn accelerometers: the FinHealth 2017 Survey.

Authors:  Heini Wennman; Arto Pietilä; Harri Rissanen; Heli Valkeinen; Timo Partonen; Tomi Mäki-Opas; Katja Borodulin
Journal:  Sci Rep       Date:  2019-04-25       Impact factor: 4.379

2.  Sociodemographic Associations of Physical Activity in People of Working Age.

Authors:  Daniel Puciato
Journal:  Int J Environ Res Public Health       Date:  2019-06-17       Impact factor: 3.390

3.  Geographic clusters of objectively measured physical activity and the characteristics of their built environment in a Swiss urban area.

Authors:  Juan R Vallarta-Robledo; Stéphane Joost; Marco André Vieira Ruas; Cédric Gubelmann; Peter Vollenweider; Pedro Marques-Vidal; Idris Guessous
Journal:  PLoS One       Date:  2022-02-23       Impact factor: 3.240

4.  Associations between socioeconomic status and physical activity among older adults: cross-sectional results from the OUTDOOR ACTIVE study.

Authors:  Imke Stalling; Birte Marie Albrecht; Linda Foettinger; Carina Recke; Karin Bammann
Journal:  BMC Geriatr       Date:  2022-05-06       Impact factor: 4.070

5.  Day-to-day pattern of work and leisure time physical behaviours: are low socioeconomic status adults couch potatoes or work warriors?

Authors:  Charlotte Lund Rasmussen; Dorothea Dumuid; Karel Hron; Nidhi Gupta; Marie Birk Jørgensen; Kirsten Nabe-Nielsen; Andreas Holtermann
Journal:  BMC Public Health       Date:  2021-07-07       Impact factor: 3.295

6.  Inequity in inpatient services utilization: a longitudinal comparative analysis of middle-aged and elderly patients with the chronic non-communicable diseases in China.

Authors:  Xian-Zhi Fu; Lian-Ke Wang; Chang-Qing Sun; Dong-Dong Wang; Jun-Jian He; Qi-Xin Tang; Qian-Yu Zhou
Journal:  Int J Equity Health       Date:  2020-01-06
  6 in total

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