Examination of the correlation between hand grip strength and muscle mass, balance, mobility, and daily life activities in elderly individuals living in nursing homes
Affiliations: [a] Department of Physiotherapy and Rehabilitation, School of Health Sciences, Cappadocia University, Nevşehir, Turkey
| [b] Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Nuh Naci Yazgan University, Kayseri, Turkey
| [c] Department of Biostatistics, Faculty of Medicine, Erciyes University, Kayseri, Turkey
| [d] Drug Application and Research Center (ERFARMA), Erciyes University, Kayseri, Turkey
Correspondence:
[*]
Address for correspondence: Prof. Dr. Ferhan Soyuer, Department of Physiotherapy and Rehabilitation, School of Health Sciences, Cappadocia University, Nevşehir, Turkey. E-mail: [email protected].
Abstract: BACKGROUND:Aging is a process that includes progressive physiological changes. Grip strength is an important indicator of current health in the elderly. OBJECTIVE:The aim of the study was to examine the correlation between dominant-hand grip strength (HGS) and cognitive function, mid-upper arm circumference, muscle-bone mass, balance, mobility, and daily life activities in elderly individuals living in nursing homes and determine the effect rates of these factors on HGS. METHODS:Seventy-two elderly individuals aged over 65 who lived in a nursing home were included in the study. Dominant HGS and mid-upper forearm circumference were measured. Muscle and bone masses were measured with bioelectrical impedance analysis. Mid-upper arm circumference was measured using a non-elastic tape. HGS was measured using a hand dynamometer. Cognitive function was evaluated with the Standardized Mini-Mental Test (SMMT); mobility and balance were evaluated with the Timed Up and Go Test (TUGT) and Berg Balance Scale (BBS); the Katz Activities of Daily Living Scale (KATZ ADL) was used to evaluate daily life activities. RESULTS:There was a significant correlation between HGS and muscle and bone masses (p < 0.001). A significant correlation was found between HGS and TUGT, ADL (p = 0.001, p = 0.016). There was no significant correlation between HGS and BBS (p = 0.2). There was a correlation between HGS and SMMT at the statistical significance limit (p = 0.055). On HGS, the Body Mass Index had a 64.9% effect; the muscle mass had a 30.9% effect; the TUGT had a 27.7% effect. These parameters were found to explain 59.9% of the variance. CONCLUSION:As a global indicator of muscle strength, HGS can be used to predict age-related functional changes. Approaches to increase physical activity levels in elderly can be effective in reducing age-related negativities.
