Handgrip strength is an independent predictor of distal radius bone mineral density in postmenopausal women. 2000

M Di Monaco, and R Di Monaco, and M Manca, and A Cavanna
Presidio Sanitario San Camillo, Torino, Italy. Medici@h-sancamillo.to.it

Several cross-sectional studies have reported a positive correlation between muscle strength and local bone mineral density. However, very few studies have evaluated the possible role of confounding variables, which may be substantial as both bone mineral density and muscle strength are multifactorial variables. We studied 140 postmenopausal women who underwent their first osteodensitometry in our hospital. Of these, 102 women affected neither by bone diseases apart from primary osteoporosis nor treated with drugs affecting bone mass were selected. Distal radius bone mineral density of the non-dominant arm was assessed by dual photon absorptiometry. Handgrip strength was measured by a handheld dynamometer. The following factors influencing bone mass were also considered: age, years since menopause, years of cyclic ovarian activity, body weight, body height, body mass index, and both calcium and alcohol dietary intake. Statistical evaluation was performed by stepwise multiple regression analysis. This showed that only two variables were independently related to bone mineral density: handgrip strength (which was the best bone density predictor among the studied independent variables) and years since menopause. R2 value was 0.43 (F=38.04, p < 0.001). All the other variables studied were not significantly related to bone density when the effects of both strength and years since menopause were considered. In conclusion, the data showed that handgrip strength was a strong independent predictor of distal radius bone mineral density in postmenopausal women. Clinical assessment of osteoporosis risk factors, including muscle strength, is recommended: although it is not an adequate substitute for bone densitometry, it can help clinicians to identify the risk groups at which to direct bone density measurement.

UI MeSH Term Description Entries
D008593 Menopause The last menstrual period. Permanent cessation of menses (MENSTRUATION) is usually defined after 6 to 12 months of AMENORRHEA in a woman over 45 years of age. In the United States, menopause generally occurs in women between 48 and 55 years of age. Change of Life, Female
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D011884 Radius The outer shorter of the two bones of the FOREARM, lying parallel to the ULNA and partially revolving around it. Radial Tuberosity,Radial Tuberosities,Tuberosities, Radial,Tuberosity, Radial
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000367 Age Factors Age as a constituent element or influence contributing to the production of a result. It may be applicable to the cause or the effect of a circumstance. It is used with human or animal concepts but should be differentiated from AGING, a physiological process, and TIME FACTORS which refers only to the passage of time. Age Reporting,Age Factor,Factor, Age,Factors, Age
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly

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