Age and Anthropometric Traits Predict Handgrip Strength in Healthy Normals
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Hand grip strength is an inevitable component in the evaluation of rheumatoid arthritis, neuromuscular, preoperative, post operative patients and community dwelling older adults' functional capacity. Hand grip varies greatly with age, gender and the anthropometric measures when measured by hand dynamometer. The influence of above variables on hand grip when measured by modified sphygmomanometer is unknown. Further, the prediction of hand grip from age and anthropometric traits is unknown. 229 subjects (115 males and 114 females) with age 23 ± 2 and 21 ± 2 respectively were included in the study after informed c nsent. Weight and height were obtained using standard techniques. Hand grip was measured using a modified sphygmomanometer. Information regarding physical activity and health status was obtained by interview, clinical screening and stratified. Stepwise multiple regression analysis was sought out for any influence of age, height, weight and Body Mass Index (BMI) on hand grip strength. Grip strength correlated moderate to high with age (r = 0.44, p = 0.00), height (r = 0.57, p = 0.00), weight (r = 0.57, p = 0.00) and BMI (r = 0.29, p = 0.00). The regression model for handgrip strength is Hand grip = -1790.54 + 4.93557 × Age-11.7429 × Weight + 1083.4 × Height + 34.194 × BMI. Age, height and weight are the i portant determinants of the handgrip evaluation. In clinical setting, the influence of age and anthropo etric traits on handgrip shall be borne in mind when measuring handgrip by modified sphygmomanometer in age group of 20-25 year patients.Keywords:
Hand strength
Sphygmomanometer
Stepwise regression
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FCR-sling resectional arthroplasty does not definitely prevent a proximalisation of the first metacarpal bone. Since power transmission of the thenar muscles requires a particular length of the thumb, does proximalisation lead to a reduction of grip strength of the hand? In a prospective study, hand-, key- and pinch-grip strength was compared to preoperative data. Pain intensity and thumb mobility were also examined. In comparison to preoperative data, the pain-free pinch grip improved 60% after three months and 100% after 12 months (p < 0.01). The maximum pinch grip improved 11% after three and 34% after 12 months (p < 0.01). The pain-free key grip improved 22% after three months and 50% after 12 months (p < 0.01). The maximum key grip showed a fair reduction after three months, but after 12 months the key pinch strength came up to preoperative level. The hand grip strength showed a statistically significant improvement of 9% after three months and 34% after 12 months (p < 0.01). After one year, 80% of the patients were completely painfree. There was no clinically relevant disturbance of thumb movement following surgery. Owing to proximalisation of the first metacarpal, a scapho-metacarpal distance of 5.3 (2-9) mm was measured. Despite proximalisation of the first metacarpal, a significant improvement of the grip strength was observed, which was rooted in simultaneous pain reduction.
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Stepwise regression
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Objective: To examine the prediction of Jamar grip strength value by using aneroid sphygmomanometer cuff method in adults. Methods: This study involved 120 subjects, aged 20–59 years old. The grip strength of subjects were measured using Jamar dynamometer and aneroid sphygmomanometer cuff method. Spearman analysis was used to evaluate the correlation between variables and grip strength. Forward stepwise was used to analyze the regression of Jamar dynamometer using aneroid sphygmomanometer cuff method. Results: There was a weak correlation (r<0.4) between grip strength with age and BMI, moderate correlation (r = 0.4–0.6) for grip circumference, and also strong correlation r= (0.6–0.8) for sex, hand length, and hand width. Jamar grip strength value can be predicted using spyghmomanometer with the formula of (0.1157 x Sphygmomanometer grip strength value) – (5.696 x sex) + (0.0824 x age) (female =1, male= 0). Conclusions: Grip strength correlates with physiological variables. The variables to predict Jamar grip strength using sphygmomanometer are sex and age. Regression analysis shows that spyhgmomanometer can be used as an alternative to measure grip strength and has a valid value to predict the Jamar grip strength value. Keywords: Adult, grip strength, Jamar dynamometer, sphygmomanometer, prediction formula DOI: 10.15850/ijihs.v5n1.958
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Hand grip strength is a simple tool to measure the muscle function and thereby nutrition in dialysis patients. We enrolled 30 Chronic Peritoneal Dialysis(CPD) patients and 50 maintenance Hemodialysis(MHD) patients and assessed hand grip strength. The study population consisted of 50 patients undergoing MHD (men - 78%) with a mean age of 53.62 ±12.45 years and 30 CPD (men - 63%) patients with a mean age of 58.6±11.52 years. Of these MHD population 30(60%) were diabetic and in CPD 20(66.7%) were diabetic. Other demographic and clinical details were collected. The hand grip strength was significantly different between men and women in the group on MHD (p=0.020) and CPD (p=0.016). The hand grip strength was also significantly higher among the employed patients (p<0.001). lt was not significantly different between vegetarians and non-vegetarians (13=0.655). The hand grip strength was significantly lower in patients with a Hb <10g/di, (p=0.023) The hand grip strength was not significantly associated with serum albumin level (p=0.219) or diabetic status W=0.908). To conclude, hand grip strength is a simple tool used to measure the muscle function and malnutrition in dialysis patient. In our centre Hemodialysis patient have more muscle mass strength compared to peritoneal dialysis patients.
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