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A low-threshold intervention to increase physical activity and reduce physical inactivity in a group of healthy elderly people in Germany: Results of the randomized controlled MOVING study

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  • Fabian Kleinke
  • Sabina Ulbricht
  • Marcus Dörr
  • Peter Penndorf
  • Wolfgang Hoffmann
  • Neeltje van den Berg

Abstract

Background: Lack of physical activity (PA) and a high level of physical inactivity (PI) are associated with a higher risk for mortality and responsible for several non-communicable diseases including cardiovascular disease. Higher age is associated with a decrease of PA and an increasing level of PI. Studies have shown that interventions in the elderly have the potential to increase the amount of PA and to decrease the level of PI. However, most interventions are complex, elaborated, time- and resource-consuming. Here, we examined the effect of individual feedback-letters reporting the measured PA and PI in a sample of elderly people in Germany. Primary outcomes of the study were overall PA and PI after 6 months in the intervention group compared to a control group. Methods: We examined data from the MOVING intervention study (RCT) for people aged ≥ 65 years living in the northeast of Germany. At baseline, 3 and 6-months follow-up, all study participants wore a 3-axis accelerometer over a period of seven consecutive days. After the baseline measurement, the participants were randomized into intervention and control group. Participants in the intervention group received automatically generated, individualized feedback letters reporting their PA and PI by mail after the baseline measurement and after the 3-months follow-up. A Two-Way Mixed ANOVA with repeated measures was calculated with light, moderate and overall PA as well as PI as dependent variables, and group (between subject) and time (inner subject) as factors. The analysis based on retrospective data from the MOVING study (2016–2018). Results: N = 258 patients were recruited. N = 166 participants could be included in the analysis, thereof N = 97 women (58.4%). The mean age was 70.8 years (SD 4.8). At baseline, the participants had a mean wearing time of 5,934.5 minutes (SD = 789.5) per week, which corresponds to about 14 hours daily on average. The overall PA in the intervention group at the 6-months follow up was 2488.8 (95% CI 2358.9–2618.2) minutes and 2408.2 (95% CI 2263.0–2553.4) minutes in the control group. There was no statistically significant interaction effect (time*group) between the intervention and control group for the depending variables. Sensitivity analyses showed significant small positive effects of the interaction time*partnership, F(2, 300) = 3.020, p = 0.05, partial η2 = 0.020. Discussion: On average, study participants had high levels of PA at baseline and showed a good adherence in wearing the accelerometer. Both is likely due to selection in the convenience study sample. Thus, some ceiling effect reduced the overall intervention effect somewhat. At baseline, the weekly average of PI was 3436.7 minutes, which correspondents to about 8.2 hours per day and about 57% of participants’ daily waking time. The average level of PI could be slightly decreased in both study groups. Trial registration number: DRKS00010410, 17 May 2017.

Suggested Citation

  • Fabian Kleinke & Sabina Ulbricht & Marcus Dörr & Peter Penndorf & Wolfgang Hoffmann & Neeltje van den Berg, 2021. "A low-threshold intervention to increase physical activity and reduce physical inactivity in a group of healthy elderly people in Germany: Results of the randomized controlled MOVING study," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-16, September.
  • Handle: RePEc:plo:pone00:0257326
    DOI: 10.1371/journal.pone.0257326
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    References listed on IDEAS

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    1. Fabian Kleinke & Peter Penndorf & Sabina Ulbricht & Marcus Dörr & Wolfgang Hoffmann & Neeltje van den Berg, 2020. "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," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    2. Anonymous, 2021. "Letter from the Editor," Management and Organization Review, Cambridge University Press, vol. 17(3), pages 447-451, July.
    3. Anonymous, 2021. "Letter from the Editor," Management and Organization Review, Cambridge University Press, vol. 17(1), pages 1-3, February.
    4. Inge Kirchberger & Christa Meisinger & Margit Heier & Anja-Kerstin Zimmermann & Barbara Thorand & Christine S Autenrieth & Annette Peters & Karl-Heinz Ladwig & Angela Döring, 2012. "Patterns of Multimorbidity in the Aged Population. Results from the KORA-Age Study," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-7, January.
    5. Anonymous, 2021. "Letter from the Editor," Management and Organization Review, Cambridge University Press, vol. 17(2), pages 199-201, May.
    6. Anonymous, 2021. "Letter from the Editor," Management and Organization Review, Cambridge University Press, vol. 17(4), pages 641-643, October.
    7. Tim Althoff & Rok Sosič & Jennifer L. Hicks & Abby C. King & Scott L. Delp & Jure Leskovec, 2017. "Large-scale physical activity data reveal worldwide activity inequality," Nature, Nature, vol. 547(7663), pages 336-339, July.
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    1. Nida Mugler & Hansjörg Baurecht & Kevin Lam & Michael Leitzmann & Carmen Jochem, 2022. "The Effectiveness of Interventions to Reduce Sedentary Time in Different Target Groups and Settings in Germany: Systematic Review, Meta-Analysis and Recommendations on Interventions," IJERPH, MDPI, vol. 19(16), pages 1-21, August.

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