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Levels of and Determinants for Physical Activity and Physical Inactivity in a Group of Healthy Elderly People in Germany: Baseline Results of the MOVING-study

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Journal PLoS One
Date 2020 Aug 14
PMID 32790711
Citations 10
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Abstract

Background: Low levels of physical activity (PA) and high levels of physical inactivity (PI) are associated with higher mortality and cardiovascular diseases. Higher age is associated with a decrease of PA, only 2.4-29% of ≥60 year-olds achieve the PA times recommended by WHO. The aim of this study was to identify levels of and determinants for moderate PA, overall PA and PI in a sample of individuals aged ≥65 years.

Methods: We analyzed baseline data from an intervention-study aiming to increase PA and decrease PI by automatically generated feedback letters to objectively measured PA and PI. Recruitment was multimodal including re-contacting participants of previous studies and advertisements in regional public buses and newspapers. At baseline, participants wore an accelerometer over a period of 7 consecutive days. PA was categorized using cut-points suggested by Freedsoon 1998 in light, moderate and vigorous physical intensity as well as physical inactivity. Potential determinants (self-efficacy, education) were measured by questionnaires or in a physical examination (BMI). Multiple linear regression models were fitted to identify determinants for PA and PI.

Results: N = 199 persons (mean age 71.0 years (SD 4.9), 59.3% female) participated in the study. The weekly amount of overall PA for men was on average 1,821 minutes (SD 479.1), for women on average 1,929 minutes (SD 448.8). 79.7% of the women and 72.8% of the men achieved the WHO recommendation of 30 minutes moderate PA/day at baseline. The time of PI during the observation time period of 7 days was on average 4,057 minutes in men and 3,973 minutes in women. In males, age was found to be a significant negative determinant for overall PA (p = 0.002) and for moderate PA (p<0.001). Higher education was positively associated with higher levels of overall PA (p = 0.013) and moderate PA (p = 0.06) in men. BMI was a significant negative determinant for overall PA both in men (p = 0.039) and women (p = 0.032) as well as for moderate PA for women (p = 0.009). Only in women, not in men, self-efficacy was to be a significant positive determinant for overall PA (p = 0.020) as well as negatively associated with PI (p = 0.006).

Discussion: The participants of our study showed high levels of PA. This is likely due to selection bias in this convenience sample. However, also levels of PI are very high and those correspond with average levels in the German population. The determinants for higher PA and lower PI differed between males and females. Thus, strategies for improving PA and decrease PI are likely different with respect to sex and should take individual factors (e.g. age, BMI) into account.

Trial Registration Number: DRKS00010410 Date: 17 May 2017.

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References
1.
Harvey J, Chastin S, Skelton D . How Sedentary are Older People? A Systematic Review of the Amount of Sedentary Behavior. J Aging Phys Act. 2014; 23(3):471-87. DOI: 10.1123/japa.2014-0164. View

2.
Hallal P, Andersen L, Bull F, Guthold R, Haskell W, Ekelund U . Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012; 380(9838):247-57. DOI: 10.1016/S0140-6736(12)60646-1. View

3.
Tucker P, Gilliland J . The effect of season and weather on physical activity: a systematic review. Public Health. 2007; 121(12):909-22. DOI: 10.1016/j.puhe.2007.04.009. View

4.
Kleinke F, Schwaneberg T, Weymar F, Penndorf P, Ulbricht S, Lehnert K . MOVING: Motivation-Oriented interVention study for the elderly IN Greifswald: study protocol for a randomized controlled trial. Trials. 2018; 19(1):57. PMC: 5778817. DOI: 10.1186/s13063-017-2425-2. View

5.
Varo J, Martinez-Gonzalez M, De Irala-Estevez J, Kearney J, Gibney M, Martinez J . Distribution and determinants of sedentary lifestyles in the European Union. Int J Epidemiol. 2003; 32(1):138-46. DOI: 10.1093/ije/dyg116. View