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Indicators of Abnormal Hand Grip Strength Among Older Egyptian Adults
Reem M S Elbedewy1, Salma M S El Said1, Rana M Taha1
1Geriatric Medicine and Gerontology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Background:
Hand grip strength (HGS) is gaining the attention of researchers and clinicians, including geriatricians as a readily available, inexpensive, and useful measure of muscle strength.
Objective:
To identify the indicators of abnormal HGS as measured by a Jamar handheld dynamometer in community-dwelling Egyptian senior citizens.
Study Design:
The study was approved by the relevant ethical committee. This cross-sectional study included 200 randomly selected older adults of both sexes who attended geriatric and internal medicine outpatient clinics. Informed consent was obtained, and comprehensive geriatric assessment was performed, including assessment of the health-related quality of life by the 12-Item Short-Form Health Survey (SF-12).
Measurement:
HGS was measured, and values of 20 kg or less in females and 30 kg or less in males were considered abnormal.
Statistical Methods:
IBM SPSS statistics v25.0 was used for data analysis. Data were expressed as the mean ± SD for quantitative parametric measures and as the number and percentage for categorical data. Student's t-test, the chi-squared test, the diagnostic validity test, and multiple logistic regression analysis were performed. The ROC (receiver operating characteristic) curve was constructed, and the AUC (area under the curve) was also calculated.
Results:
The subjects' ages ranged from 60 to 95 years with a mean age of 69 ± SD 7.1 years. The sample consisted of 117 females (58.5%) and 83 males (41.5%). The chi-squared test showed that abnormal findings for grip strength were significantly more common among females than males (67.7% vs 32.3%). Student's t-test showed that both height and weight were significantly lower among subjects with abnormal than normal HGS, while body mass index (BMI) showed a non-significant difference. Stepwise multiple logistic regression analysis showed that there was no actual relationship between sex and abnormality of HGS.
Conclusion:
The best indicators of abnormal HGS were found to be a general health score below 25 points on the SF-12 and a height of less than 178 cm. As the values of general health and height decrease below those cut-off points, HGS decreases as well, and vice versa.
