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Background and Aim: As the population of geriatrics increase, this group must be noticed from economical, vocational, therapeutic situations the majority of geriatrics has problems with their hands. These problems influence their activity of daily living, vocation and etc. The main goal of present study is to determine the relation between grip strength and dexterity in 25-45 and 65-85 years people.

Material and method: The grip strength and dexterity were administered to one hundred people aged between 25-45 and 65-85 years with a mean age of 53.61 years old (SD= 20.60). The grip strength and dexterity were evaluated 3 times, and data were analyzed with SPSS (V: 11.5).

Results: Mean of grip strength in group (25-45) year was more than group (65-85) year. In both groups the results of grip strength in men were more than women. We noticed that with increasing age the dexterity decrease and dexterity differences between group 25-45 and 65-85 years were statistically significant. Between men and women dexterity differences was not significant. The correlation between grip strength and dexterity was not statistically significant.

Conclusion: This study showed that dexterity is related with age and functional activities. Grip strength is related with age, occupation, gender. As the age increase these features of the hand decrease. But there isn't a correlation between grip strength and dexterity.

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Background and aim:One of the common learning disability is dysgraphia that interferes academic progressive and/or activity of daily living in children.The aim of this study was comparative assessment of hand sensory - motor skills in 9 -11 ages
Materials and Methods: 20 dysgraphia and 40 normal children were selected for comparison. Participants were evaluated by Smmes-Weinstein Monofilaments (SWMs), The Minnesota Manual Hand Dexterity Test (MMDT), Power Grip Test with Dynamometer (GS), Pinch Strength with Pinch Guage (thumb to middle-thumb to index test) and Minnesota Hand Writing Test (MHT).They were divided into A (dysgraphia) and B (normal)Groups. In this research, dominant hand was right. All Data were analyzed by T-Test and Chi – square Tests with SPSS version13.
Results:The study showed that sensory-motor skills hand writing in dysgraphia children were significantly lower than normal children. There was a significant relationship between tactile threshold and dysgraphia. (P<0.05).In children with dysgraphia, the tactile threshold was high. Hand dexterity was significantly poorer in A group than B group. (P<0.05). Grip strength and Pinch strength were significantly poorer in A group than B group. (P<0.05 for G.S and P<0.05 for P.S). There was a significant relationship between handwriting skill and dysgraphia. (P<0.05).
Conclusion: Findings of this study, could be created in the mind of experts and therapists that perhaps with determination of suitable sensory-motor evaluations of precise Prpcedure to prevent and treat children who have dysgraphia problem,

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Background and aim: Grip strength (GS) is an important measure of general health to predict mortality, disability and function of the hand. The purpose of this study was to develop equations to predict grip strength based on several anthropometric measurements using a multiple regression analysis.
Materials and Methods: Four hundred and eleven males and 671 females college students, ages 18-30 years, in good health, participated voluntarily in this study. This sample was randomly assigned to the model-development (n=867) and cross-validation (n=215) groups. Four equations were developed by using data from the model development group, then cross-validated on the second group. A hand-held dynamometer was used to measure grip strengths. All anthropometric measurements such as hand anthropometry, forearm circumference (FC), lean body mass, skeletal muscle mass and arm muscle area were taken according to standard techniques.
Results: It was found that grip strength has a significant correlation with all anthropometric measurements. Forearm length (FL) was correlated to grip (68% explained variance) in a linear relationship, followed by upper limb length and SM. All four equations were confirmed by cross-validation. Because of simplicity and easy-to-measure the following equations were selected for prediction grip: Dominant hand, A) 0.464×Age(yr)+0.392×Height(cm)+0.681×BMI-13.035×Sex(0 for men and 1 for women)-46.160, B) 0.029×FC×FL-8.634×sex+13.872 Non-dominant hand: C) 0.347×Age+0.386× Height+0.657×BMI-13.313×Sex-44.243, D) 0.029×FC×FL-8.752×sex+13.788.
Conclusion: The six easy-to-measure cofactors sex, age, height, BMI, forearm length and forearm circumference provide a highly accurate prediction of normative grip strength.