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Reliability of the Accelerometer to Control the Effects of Physical Activity in Older Adults

Overview
Journal PLoS One
Date 2022 Sep 12
PMID 36095032
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Abstract

Background: Reliable physical activity measurements in community-dwelling older adults are important to determine effects of targeted health promotion interventions. Many exercise interventions aim to improve time spent sedentary (SED), in light-intensity-physical-activity (LPA) and moderate-to-vigorous-intensity-physical-activity (MVPA), since these parameters have independently proposed associations with health and longevity. However, many previous studies rely on self-reports which have lower validity compared to accelerometer measured physical activity patterns. In addition, separating intervention-effects from reactivity measurements requires sufficient test-retest reliability for accelerometer assessments, which is lacking in older adults.

Objectives: The study objective was to investigate the reliability of sensor-based PA-patterns in community-dwelling older adults. Furthermore, to investigate change over time of physical activity patterns and examine any compensatory-effect from the eight-week supervised exercise-intervention.

Methods: An exercise-group (n = 78, age-range:65-91yrs) performed two 1h-exercise sessions/week during eight-weeks. PA-pattern was assessed (using hip-worn accelerometers), twice before and once during the last-week of the intervention. A control-group (n = 43, age-range:65-88yrs) performed one pre-test and the end-test with no exercise-intervention. A dependent-t-test, mean-difference (95%-CI), limits-of-agreement and intraclass-correlation-coefficient-ICC were used between the two pre-tests. Repeated-measures-ANOVA were used to analyze any intervention-effects.

Results: The exercise-groups´ two pre-tests showed generally no systematic change in any PA- or SED-parameter (ICC ranged 0.75-0.90). Compared to the control group, the exercise intervention significantly (time x group-interaction, p<0.05) increased total-PA-cpm (exercise-group/control-group +17%/+7%) and MVPA-min/week (+41/-2min) and decreased %-of-wear-time for SED-total (-4.7%/-2.7%) and SED-bouts (-5.7%/-1.8%), and SED-bouts min/d (-46/-16min). At baseline level, no significant differences were found between the two groups for any parameter.

Conclusions: The current study presents a good test-retest-reliability of sensor-based-one-week-assessed-PA-pattern in older-adults. Participating in an 8-week supervised exercise intervention improved some physical activity and sedentary parameters compared to the control group. No compensatory-effect was noted in the intervention-group i.e., no decrease in any PA-parameter or increase in SED at End-test (in %-of-wear-time, min/day or total-PA).

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References
1.
Diniz T, Rossi F, da Costa Rosa C, Mota J, Freitas-Junior I . Moderate-to-Vigorous Physical Activity Among Postmenopausal Women: Discrepancies in Accelerometry-Based Cut-Points. J Aging Phys Act. 2016; 25(1):20-26. DOI: 10.1123/japa.2015-0193. View

2.
Dohrn I, Gardiner P, Winkler E, Welmer A . Device-measured sedentary behavior and physical activity in older adults differ by demographic and health-related factors. Eur Rev Aging Phys Act. 2020; 17:8. PMC: 7291490. DOI: 10.1186/s11556-020-00241-x. View

3.
Katzmarzyk P, Lee I . Sedentary behaviour and life expectancy in the USA: a cause-deleted life table analysis. BMJ Open. 2012; 2(4). PMC: 3400064. DOI: 10.1136/bmjopen-2012-000828. View

4.
Gorman E, Hanson H, Yang P, Khan K, Liu-Ambrose T, Ashe M . Accelerometry analysis of physical activity and sedentary behavior in older adults: a systematic review and data analysis. Eur Rev Aging Phys Act. 2014; 11:35-49. PMC: 3990855. DOI: 10.1007/s11556-013-0132-x. View

5.
Keadle S, Shiroma E, Kamada M, Matthews C, Harris T, Lee I . Reproducibility of Accelerometer-Assessed Physical Activity and Sedentary Time. Am J Prev Med. 2017; 52(4):541-548. PMC: 5362292. DOI: 10.1016/j.amepre.2016.11.010. View