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Updated: May 29, 2025

Quantifying Arms and Legs Contributions during Repetitive Electrically-Assisted Sit-To-Stand Exercise in Paraplegics: A Pilot Study
Published on: November 11, 2022
Exploring predictors of the five-time sit-to-stand test based on cross-sectional findings from the Swedish National
Joakim Niklasson1,2, Cecilia Fagerström3,4, Sofia Backåberg5,6
1Faculty of Health and Life Sciences, Linnaeus University, Kalmar, Sweden. joakim.niklasson@lnu.se.
Background:
As we age, staying physically active and reducing sedentary behavior becomes crucial. To understand how to achieve this, factors related to daily physical function such as five-time sit-to-stand (STS) time should be explored. This study aimed to investigate the associations between STS time, self-rated physical activity, physical function, health-related quality of life, physical and mental health in community-dwelling older adults aged ≥ 60 years.
Method:
Cross-sectional design with self-reported and objectively measured data from adults aged ≥ 60 years (n = 819), acquired from the Swedish National Study on Aging and Care. Data was analyzed through multiple linear regression.
Results:
The model (R2 = 0.268) showed that STS time was predicted by grip strength (β' = -0.204, p < 0.05), age (β' = 0.202, p < 0.05), health-related quality of life (β' = -0.192, p < 0.05), having fallen within the preceding twelve months (β' = -0.127, p < 0.05), physical activities of perceived light to moderate intensity (β' = -0.121, p < 0.05), one-leg stand (β' = -0.099, p < 0.05), and education level (β' = -0.092, p < 0.05). For STS time, health-related quality of life (β = -0.354, confidence interval [CI] (-0.509)-(-0.199)), having fallen within the preceding twelve months (β = -0.222, CI (-0.365)-(-0.078)), and physical activities of perceived light to moderate intensity (β = -0.166, CI (-0.278)-(-0.053)) were the most prominent predictors.
Conclusion:
The model highlights the importance of grip strength and health-related quality of life in predicting STS time in older adults. Clinicians can use these insights to develop interventions that maintain physical function by regularly assessing and monitoring these factors. Future research should explore the relationship between fall history, faster STS time, and the impact of grip strength and health-related quality of life on sedentary behavior among older adults.
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