여성노인의 골다공증 위험과 사회경제적 지위 및 악력의 관계 분석
The Association between Socioeconomic Status, Handgrip Strength, and Osteoporotic Status in Elderly Women
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PURPOSE: The purpose of the study was to investigate the relationship of socioeconomic status (SES) and hand grip strength (HGS) with osteoporotic status in elderly women. METHODS: A total of 378 elderly women (aged 73.8±6.6 years) voluntarily participated in this cross-sectional study. Body mass index (BMI), percent body fat, bone mineral density (BMD) were measured with a dual-energy X-ray absorptiometry (DXA). HGS was measured with a hand grip dynamometer. Osteoporotic status was determined on the basis of the standardized score (T-score) of femur BMD. A questionnaire was used to assess socio-demographics, alcohol consumption, and cardiovascular risk factors. Logistic regression analysis was used to determine odds ratio (OR) and 95% confidence interval (CI) of a combination of low SES and low HGS for osteoporotic status before and after adjustments for age and BMI. Statistical significance was tested at p=.05 using SPSS-PC (version 23.0). RESULTS: One-way ANOVA showed significant group differences in age (p<.001), BMI (p=.029), femur total BMD t-score (p<.001), and BMD total t-score (p=.002) among SES+HGS-based groups. Logistic regression analysis showed that high SES+low HGS (OR=2.608, 95% CI=1.155-5.892, p=.021), low SES+high HGS (OR=2.213, 95% CI=1.124-4.358, p=.022), and low SES+low HGS group (OR=2.624, 95% CI=1.303-5.288, p=.007) had a significantly higher estimated risk of osteoporotic status even after adjustments for age and BMI, as compared with high SES+high HGS group (OR=1). CONCLUSIONS: The findings of the study suggest that both low HGS and low SES are important determinants of osteoporotic status in elderly women.
Abstract
PURPOSE: The purpose of the study was to investigate the relationship of socioeconomic status (SES) and hand grip strength (HGS) with osteoporotic status in elderly women. METHODS: A total of 378 elderly women (aged 73.8±6.6 years) voluntarily participated in this cross-sectional study. Body mass index (BMI), percent body fat, bone mineral density (BMD) were measured with a dual-energy X-ray absorptiometry (DXA). HGS was measured with a hand grip dynamometer. Osteoporotic status was determined on the basis of the standardized score (T-score) of femur BMD. A questionnaire was used to assess socio-demographics, alcohol consumption, and cardiovascular risk factors. Logistic regression analysis was used to determine odds ratio (OR) and 95% confidence interval (CI) of a combination of low SES and low HGS for osteoporotic status before and after adjustments for age and BMI. Statistical significance was tested at p=.05 using SPSS-PC (version 23.0). RESULTS: One-way ANOVA showed significant group differences in age (p<.001), BMI (p=.029), femur total BMD t-score (p<.001), and BMD total t-score (p=.002) among SES+HGS-based groups. Logistic regression analysis showed that high SES+low HGS (OR=2.608, 95% CI=1.155-5.892, p=.021), low SES+high HGS (OR=2.213, 95% CI=1.124-4.358, p=.022), and low SES+low HGS group (OR=2.624, 95% CI=1.303-5.288, p=.007) had a significantly higher estimated risk of osteoporotic status even after adjustments for age and BMI, as compared with high SES+high HGS group (OR=1). CONCLUSIONS: The findings of the study suggest that both low HGS and low SES are important determinants of osteoporotic status in elderly women.
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