Literature DB >> 30352811

Daily physical activity patterns among aging workers: the Finnish Retirement and Aging Study (FIREA).

Anna Pulakka1, Tuija Leskinen1, Annemarie Koster2, Jaana Pentti1,3, Jussi Vahtera1, Sari Stenholm1.   

Abstract

OBJECTIVES: Physical activity is associated with the aging workers' ability to work and predicts working beyond retirement age. To better understand physical activity behaviour in this growing population group, we aimed at characterising 24-hour physical activity patterns among aging workers, and to describe the association between occupational category and total, occupational and leisure-time physical activities.
METHODS: We included 878 workers (mean age 62.4 years, SD 1.1, 85% women) from the Finnish Retirement and Aging Study, who wore an accelerometer on their non-dominant wrist for 1 week. We plotted mean hourly activity counts per minute (CPM) for working days and days off. We also compared mean daily CPM between genders and occupations between working days and days off, and work and leisure time by using repeated measures analysis of variance.
RESULTS: Activity patterns were different between genders, occupations and types of the day. Women (2580, 95% CI 2540 to 2620) had higher daily mean CPM than men (2110, 95% CI 2020 to 2000). Women in manual occupations were more active than women in non-manual occupations during working days. The differences among men were in the same direction but less pronounced than among women. We found no differences in activity levels between occupations during days off and leisure time on working days.
CONCLUSIONS: In aging workers, physical activity differs by gender and occupation during working time, but not during leisure time. As low physical activity is associated with increased risk of early exit from employment, physical activity should be promoted at workplaces, especially among men and people in non-manual occupations. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  accelerometry; aging worker; leisure-time physical activity; occupational physical activity; occupational status

Mesh:

Year:  2018        PMID: 30352811     DOI: 10.1136/oemed-2018-105266

Source DB:  PubMed          Journal:  Occup Environ Med        ISSN: 1351-0711            Impact factor:   4.402


  12 in total

1.  Contexts of sedentary time and physical activity among ageing workers and recent retirees: cross-sectional GPS and accelerometer study.

Authors:  Sanna Pasanen; Jaana I Halonen; Anna Pulakka; Yan Kestens; Benoit Thierry; Ruben Brondeel; Jaana Pentti; Jussi Vahtera; Tuija Leskinen; Sari Stenholm
Journal:  BMJ Open       Date:  2021-05-18       Impact factor: 2.692

Review 2.  Assessment of Physical Activity in Adults Using Wrist Accelerometers.

Authors:  Fangyu Liu; Amal A Wanigatunga; Jennifer A Schrack
Journal:  Epidemiol Rev       Date:  2022-01-14       Impact factor: 4.280

3.  Emerging collaborative research platforms for the next generation of physical activity, sleep and exercise medicine guidelines: the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS).

Authors:  Emmanuel Stamatakis; Annemarie Koster; Mark Hamer; Vegar Rangul; I-Min Lee; Adrian E Bauman; Andrew J Atkin; Mette Aadahl; Charles E Matthews; Paul Jarle Mork; Lisa Askie; Peter Cistulli; Malcolm Granat; Peter Palm; Patrick Joseph Crowley; Matthew Stevens; Nidhi Gupta; Anna Pulakka; Sari Stenholm; Daniel Arvidsson; Gita Mishra; Patrik Wennberg; Sebastien Chastin; Ulf Ekelund; Andreas Holtermann
Journal:  Br J Sports Med       Date:  2019-05-10       Impact factor: 13.800

4.  Patterns of physical activity and exercise after lumbar surgery among Japanese patients with lumbar spinal stenosis.

Authors:  Daisuke Higuchi; Yu Kondo; Takahiro Miki
Journal:  J Phys Ther Sci       Date:  2021-02-13

5.  The Influence of Occupational Categories on Overall and Domain-Specific Physical Activity and the Association with Chronic Diseases. An Analysis Using the Austrian Health Interview Survey.

Authors:  Thomas Ernst Dorner; Christian Lackinger; Sandra Haider; Igor Grabovac; Katharina Viktoria Stein
Journal:  Int J Environ Res Public Health       Date:  2021-02-22       Impact factor: 3.390

6.  Self-Reported and Device-Measured Physical Activity in Leisure Time and at Work and Associations with Cardiovascular Events-A Prospective Study of the Physical Activity Paradox.

Authors:  Roman P Kuster; Philip von Rosen; Wilhelmus J A Grooten; Ing-Mari Dohrn; Maria Hagströmer
Journal:  Int J Environ Res Public Health       Date:  2021-11-20       Impact factor: 3.390

7.  Determinants of Physical Activity Performed by Young Adults.

Authors:  Jacinto García-Fernández; José Rafael González-López; Ángel Vilches-Arenas; María de Las Mercedes Lomas-Campos
Journal:  Int J Environ Res Public Health       Date:  2019-10-23       Impact factor: 3.390

8.  Cross-sectional associations of neighbourhood socioeconomic disadvantage and greenness with accelerometer-measured leisure-time physical activity in a cohort of ageing workers.

Authors:  Jaana I Halonen; Anna Pulakka; Jaana Pentti; Minna Kallio; Sofia Koskela; Mika Kivimäki; Ichiro Kawachi; Jussi Vahtera; Sari Stenholm
Journal:  BMJ Open       Date:  2020-08-16       Impact factor: 2.692

9.  Physical Activity across Retirement Transition by Occupation and Mode of Commute.

Authors:  Anna Pulakka; Tuija Leskinen; Kristin Suorsa; Jaana Pentti; Jaana I Halonen; Jussi Vahtera; Sari Stenholm
Journal:  Med Sci Sports Exerc       Date:  2020-09

10.  A Computational Model of Similarity Analysis in Quality of Life Research: An Example of Studies in Poland.

Authors:  Agnieszka Bielińska; Piotr Wa Ż; Dorota Bielińska-Wa Ż
Journal:  Life (Basel)       Date:  2022-01-01
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