PDF(Pubmed)
Abstract：
BACKGROUND: Osteoporosis and frailty are two common features in the elderly population. Despite many review articles mentioning the association between osteoporosis and frailty, there is a lack of original research directly investigating their relationship. Therefore, this study was conducted to examine the correlation between osteoporosis and frailty.
METHODS: We conducted a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES), using logistic regression analysis to assess the association of osteoporosis with the frailty index. In addition, we further explored the causal relationship between them using Mendelian randomization (MR) study.
RESULTS: In the cross-sectional study, 19,091 non-frailty participants and 5878 frailty participants were included in this study. We observed a significant positive association between osteoporosis and frailty after adjusting for demographic characteristics, body mass index (BMI), smoking, and alcohol use (OR = 1.454, 95% CI [1.142,1.851], P = 0.003). Moreover, the MR study showed a bidirectional causal relationship between osteoporosis and frailty. When osteoporosis was used as an exposure factor, the frailty pooled OR value calculated utilizing the inverse variance weighted (IVW) method was 2.81 (95% CI [1.69, 4.68], P = 6.82 × 10- 5). When frailty was used as an exposure factor, the OR value calculated using the IVW method was 1.01 (95% CI [1.00,1.01], P = 3.65 × 10- 7).
CONCLUSIONS: Osteoporosis was positively correlated with frailty, and the results remained robust after adjusting for covariates. Further, MR studies have shown a bidirectional causal relationship between osteoporosis and frailty.
METHODS: We conducted a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES), using logistic regression analysis to assess the association of osteoporosis with the frailty index. In addition, we further explored the causal relationship between them using Mendelian randomization (MR) study.
RESULTS: In the cross-sectional study, 19,091 non-frailty participants and 5878 frailty participants were included in this study. We observed a significant positive association between osteoporosis and frailty after adjusting for demographic characteristics, body mass index (BMI), smoking, and alcohol use (OR = 1.454, 95% CI [1.142,1.851], P = 0.003). Moreover, the MR study showed a bidirectional causal relationship between osteoporosis and frailty. When osteoporosis was used as an exposure factor, the frailty pooled OR value calculated utilizing the inverse variance weighted (IVW) method was 2.81 (95% CI [1.69, 4.68], P = 6.82 × 10- 5). When frailty was used as an exposure factor, the OR value calculated using the IVW method was 1.01 (95% CI [1.00,1.01], P = 3.65 × 10- 7).
CONCLUSIONS: Osteoporosis was positively correlated with frailty, and the results remained robust after adjusting for covariates. Further, MR studies have shown a bidirectional causal relationship between osteoporosis and frailty.
摘要：
背景：骨质疏松和虚弱是老年人群的两个共同特征。尽管许多评论文章提到骨质疏松症和虚弱之间的关联，缺乏直接调查他们关系的原始研究。因此,本研究旨在探讨骨质疏松与虚弱的相关性。
方法：我们使用国家健康与营养调查（NHANES）的数据进行了一项横断面研究，使用logistic回归分析评估骨质疏松症与虚弱指数的相关性。此外,我们使用孟德尔随机化(MR)研究进一步探讨了两者之间的因果关系.
结果：在横断面研究中，本研究包括19,091名非虚弱参与者和5878名虚弱参与者。我们观察到在调整人口统计学特征后，骨质疏松症和虚弱之间存在显著的正相关，体重指数（BMI），吸烟,和酒精使用(OR=1.454，95%CI[1.142,1.851]，P=0.003)。此外，MR研究显示骨质疏松与虚弱之间存在双向因果关系.当骨质疏松症被用作暴露因素时，使用逆方差加权(IVW)方法计算的脆弱合并OR值为2.81(95%CI[1.69，4.68]，P=6.82×10-5)。当脆弱被用作暴露因素时，使用IVW方法计算的OR值为1.01(95%CI[1.00,1.01]，P=3.65×10-7)。
结论：骨质疏松与虚弱呈正相关，在调整协变量后，结果仍然稳健。Further,MR研究表明，骨质疏松症与虚弱之间存在双向因果关系。
方法：我们使用国家健康与营养调查（NHANES）的数据进行了一项横断面研究，使用logistic回归分析评估骨质疏松症与虚弱指数的相关性。此外,我们使用孟德尔随机化(MR)研究进一步探讨了两者之间的因果关系.
结果：在横断面研究中，本研究包括19,091名非虚弱参与者和5878名虚弱参与者。我们观察到在调整人口统计学特征后，骨质疏松症和虚弱之间存在显著的正相关，体重指数（BMI），吸烟,和酒精使用(OR=1.454，95%CI[1.142,1.851]，P=0.003)。此外，MR研究显示骨质疏松与虚弱之间存在双向因果关系.当骨质疏松症被用作暴露因素时，使用逆方差加权(IVW)方法计算的脆弱合并OR值为2.81(95%CI[1.69，4.68]，P=6.82×10-5)。当脆弱被用作暴露因素时，使用IVW方法计算的OR值为1.01(95%CI[1.00,1.01]，P=3.65×10-7)。
结论：骨质疏松与虚弱呈正相关，在调整协变量后，结果仍然稳健。Further,MR研究表明，骨质疏松症与虚弱之间存在双向因果关系。
