Time allocation to active domains, physical activity, and health indicators in older adults: cross-sectional results from the OUTDOOR ACTIVE study
- PMID: 33081732
- PMCID: PMC7576691
- DOI: 10.1186/s12889-020-09708-z
Time allocation to active domains, physical activity, and health indicators in older adults: cross-sectional results from the OUTDOOR ACTIVE study
Abstract
Background: Physical activity (PA) is one of the key determinants of healthy ageing. Research showed that time allocation plays an important role in PA. Therefore, an understanding of the time use of older adults is crucial for developing PA programs. The aim of this study was to examine the associations of time allocation and objectively measured PA, and several health indicators in older adults.
Methods: In this cross-sectional study all 915 participants of the OUTDOOR ACTIVE study were included. The participants were 65 to 75 years old and resided in a subdistrict of Bremen, Germany (50.9% female). The active domains were derived from the SLOTH model (leisure activities, occupation, active transport, home-based activities). PA was objectively measured with accelerometers over seven consecutive days. Binary logistic regressions were used to test the associations of total PA and time spent in the domains with several health indicators (self-rated health, overweight, obesity, activities of daily living (ADL)).
Results: Participants over the age of 70 years were significantly less physically active than those under 70 years and women were significantly more physically active than men. Regardless of age and sex, most time was spent on home-based activities (women: 118.5 ± 87.8 min/day; men: 80.2 ± 69.4 min/day). Both PA and time spent on leisure activities were associated with a lower risk of bad self-rated health (0.36; 95%-CL: 0.20, 0.65 for PA; 0.93; 95%-CL: 0.87, 0.99 for leisure activities) and less limitations in ADL. PA and active transport seemed to lower the risk of overweight (0.39; 95%-CL: 0.25, 0.62 for PA; 0.80; 95%-CL: 0.69, 0.93 for active transport) and obesity (0.36; 95%-CL: 0.21, 0.60 for PA; 0.77; 95%-CL: 0.64, 0.92 for active transport). Having an occupation was associated with a lower risk of bad self-rated health (0.60; 95%-CL: 0.40, 0.92).
Conclusions: The results of this study provide insights in the time allocation to active domains and total PA of older adults, as well as the associations with health indicators. These findings have important implications for the development of PA programs and guidelines. Future research should examine the associations further in longitudinal studies.
Keywords: Accelerometer; Older adults; Physical activity; SLOTH model; Time use.
Conflict of interest statement
The authors declare that they have no competing interests.
Similar articles
-
Associations between socioeconomic status and physical activity among older adults: cross-sectional results from the OUTDOOR ACTIVE study.BMC Geriatr. 2022 May 6;22(1):396. doi: 10.1186/s12877-022-03075-7. BMC Geriatr. 2022. PMID: 35524170 Free PMC article.
-
Associations between self-reported and objectively measured physical activity and overweight/obesity among adults in Kota Bharu and Penang, Malaysia.BMC Public Health. 2019 May 22;19(1):621. doi: 10.1186/s12889-019-6971-2. BMC Public Health. 2019. PMID: 31118019 Free PMC article.
-
Accelerometer-assessed outdoor physical activity is associated with meteorological conditions among older adults: Cross-sectional results from the OUTDOOR ACTIVE study.PLoS One. 2020 Jan 24;15(1):e0228053. doi: 10.1371/journal.pone.0228053. eCollection 2020. PLoS One. 2020. PMID: 31978178 Free PMC article.
-
Time use and physical activity: a shift away from movement across the globe.Obes Rev. 2012 Aug;13(8):659-80. doi: 10.1111/j.1467-789X.2011.00982.x. Epub 2012 Jun 14. Obes Rev. 2012. PMID: 22694051 Free PMC article. Review.
-
Physical Activity Behavior and Measurement in Arab American Women: An Integrative Review.J Prev (2022). 2023 Dec;44(6):749-776. doi: 10.1007/s10935-023-00746-y. Epub 2023 Sep 20. J Prev (2022). 2023. PMID: 37728719 Review.
Cited by
-
Time change in the distribution of physical activity and its correlates among retired older Swedish adults: a repeated cross-sectional study from a national survey.BMC Public Health. 2022 Nov 9;22(1):2055. doi: 10.1186/s12889-022-14554-2. BMC Public Health. 2022. PMID: 36352388 Free PMC article.
-
Generation and validation of ActiGraph GT3X+ accelerometer cut-points for assessing physical activity intensity in older adults. The OUTDOOR ACTIVE validation study.PLoS One. 2021 Jun 3;16(6):e0252615. doi: 10.1371/journal.pone.0252615. eCollection 2021. PLoS One. 2021. PMID: 34081715 Free PMC article.
-
Exploring the Association Between Affect and Leisure Activity Engagement in Black Adults.J Gerontol B Psychol Sci Soc Sci. 2022 Dec 29;77(12):2157-2169. doi: 10.1093/geronb/gbac084. J Gerontol B Psychol Sci Soc Sci. 2022. PMID: 35772778 Free PMC article.
-
Adherence to Lifestyle Recommendations for Bone Health in Older Adults with and without Osteoporosis: Cross-Sectional Results of the OUTDOOR ACTIVE Study.Nutrients. 2022 Jun 14;14(12):2463. doi: 10.3390/nu14122463. Nutrients. 2022. PMID: 35745193 Free PMC article.
-
Exploring Perceived Barriers to Physical Activity among Older Adults Living in Low-Population Density Regions: Gender Differences and Associations with Activity Dimensions.Healthcare (Basel). 2023 Nov 11;11(22):2948. doi: 10.3390/healthcare11222948. Healthcare (Basel). 2023. PMID: 37998440 Free PMC article.
References
-
- Peel NM, McClure RJ, Bartlett HP. Behavioral determinants of healthy aging. Am J Prev Med. 2005;28(3):298–304. - PubMed
-
- World Health Organization . Global recommendations on physical activity for health. Geneva: World Health Organization; 2010. - PubMed
-
- Lear SA, Hu W, Rangarajan S, Gasevic D, Leong D, Iqbal R, et al. The effect of physical activity on mortality and cardiovascular disease in 130 000 people from 17 high-income, middle-income, and low-income countries: the PURE study. Lancet. 2017;390(10113):2643–2654. - PubMed
-
- Krug S, Jordan S, Mensink G, Müters S, Finger J, Lampert T. Physical activity: results of the German health interview and examination survey for adults (DEGS1) Bundesgesundheitsbl. 2013;56(5–6):765–771. - PubMed
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Research Materials