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Article Abstract

Background: This study explores the effect of sensory-based static balance training on the balance ability, aging attitude, and perceived stress of older adults in the community. It provides a practical basis for the in-depth implementation and revision of the community health management model.

Methods: A randomized controlled intervention study was conducted from 2022 to 2023. A total of 72 older adults were recruited and randomly divided into an intervention group (36 individuals) and a control group (36 individuals). Balance ability (measured by the Short Physical Performance Battery and One Leg Stand Test), aging attitudes, and perceived stress were assessed at baseline and at the 12-week and 24-week follow-ups. Repeated-measures ANOVA and generalized estimating equations were used to compare outcome measures.

Results: Sensory-based static balance training was beneficial for balance ability and aging attitude among participants in the intervention group. At the end of the intervention, participants in the intervention group showed significant improvements in SPPB scores and OLST scores compared with the control group (F = 12.347, P = 0.001, Waldχ = 45.530, P < 0.001), as well as significant differences in aging attitudes (F = 18.549, P < 0.001). Multiple comparisons at different time points in the intervention group reveal a significant intervention effect (F = 29.211, Waldχ = 80.428, F = 45.981, all P < 0.05). However, the difference in perceived stress before and after the intervention was not significant (F = 2.876, P = 0.095).

Conclusions: Sensory-based static balance training significantly improved balance ability and aging attitudes among older adults in the community. The effect on perceived stress among older adults in the community was not significant.

Trial Registration: Registered in the Chinese Clinic on 04/06/2022. The registration number is ChiCTR2200060541.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10782606PMC
http://dx.doi.org/10.1186/s12877-023-04596-5DOI Listing

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