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Stochastic Resonance Training Improves Balance and Musculoskeletal Well-Being in Office Workers: A Controlled Preventive Intervention Study

Faes, Yannick; Maguire, Claire; Notari, Michele; Elfering, Achim (2018). Stochastic Resonance Training Improves Balance and Musculoskeletal Well-Being in Office Workers: A Controlled Preventive Intervention Study. Rehabilitation Research and Practice, 1 (1), pp. 1-9. 10.1155/2018/5070536

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Sixty-two office workers in a Swiss federal department were randomly assigned to a training and a control group. While the training group was instructed to complete 3 stochastic resonance whole-body vibration (SR-WBV) exercises every week for 4 weeks, the control group received no treatment. During this time all participants answered a daily questionnaire concerning their surefootedness, sense of balance, musculoskeletal well-being, and muscle relaxation. Before and after the 4-week SR-WBV intervention, balance was tested with a single-leg stance on a foam mat of the Balance Error Scoring System (BESS) using a SwayStar™-System measuring Total Angle Area (TotAngArea) and Total Velocity Area (TotVelArea). Multilevel results highlighted a significant increase over time for surefootedness and sense of balance (t = 2.491, p = .016), as well as for musculoskeletal well-being and muscle relaxation (t = 2.538, p = .014) in the training group but not in the control group. Balance tests showed improvement of balance in the training group (TotAngArea: Z = 2.550, p = .011; TotVelArea: Z = 3.334, p = .001) but not in the control group. SR-WBV exercise indicated a high compliance during this study (3.87±0.45 trainings per week) underlining its benefits for the working context. Especially office workers who spend most of their time in sitting position could profit from SR-WBV exercise to improve balance and reduce the risk of falls.

Item Type:

Journal Article (Original Article)

PHBern Contributor:

Notari, Michele

Language:

English

Submitter:

Jessica Brunner

Date Deposited:

24 Nov 2022 14:00

Last Modified:

26 Nov 2022 06:08

Publisher DOI:

10.1155/2018/5070536

Uncontrolled Keywords:

wearable learning, deep learning, well-being

PHBern DOI:

10.57694/665

URI:

https://phrepo.phbern.ch/id/eprint/665

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