徐慧雯,陈毓铭,杨洲,胡永华,许蓓蓓.中国老年人心血管代谢性共病与握力和步速关系的队列研究[J].中华流行病学杂志,2023,44(8):1183-1189 |
中国老年人心血管代谢性共病与握力和步速关系的队列研究 |
Associations of cardiometabolic multimorbidity with grip strength and gait speed among older Chinese adults |
收稿日期:2023-01-08 出版日期:2023-08-18 |
DOI:10.3760/cma.j.cn112338-20230108-00015 |
中文关键词: 心血管代谢性共病 握力 步速 老年人 |
英文关键词: Cardiometabolic multimorbidity Grip strength Gait speed Older adults |
基金项目:国家自然科学基金(81973130,81703304,82273712) |
作者 | 单位 | E-mail | 徐慧雯 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 北京大学医学信息学中心, 北京 100191 | | 陈毓铭 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 北京大学医学信息学中心, 北京 100191 | | 杨洲 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 北京大学医学信息学中心, 北京 100191 | | 胡永华 | 北京大学公共卫生学院流行病与卫生统计学系, 北京 100191 北京大学医学信息学中心, 北京 100191 | | 许蓓蓓 | 北京大学医学信息学中心, 北京 100191 北京大学医学部老年健康医学中心, 北京 100191 | xubeibei@bjmu.edu.cn |
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中文摘要: |
目的 探索中国老年人心血管代谢性共病与握力和步速之间的关系。方法 采用2011-2015年中国健康与退休追踪调查数据,纳入 ≥ 60岁的老年人进行分析。采用广义估计方程分析心血管代谢性共病与握力和步速之间的相关性。结果 共纳入测量握力的研究对象6 357名,测量步速的研究对象6 250名。与未患心血管代谢疾病组相比,患有1种(β=-0.018,95%CI:-0.026~-0.010)、2种(β=-0.029,95%CI:-0.041~-0.018)、≥ 3种(β=-0.050,95%CI:-0.063~-0.037)心血管代谢性疾病的研究对象握力下降的风险增加。心血管代谢性疾病数量(1种:β=-0.052,95%CI:-0.326~0.222;2种:β=-0.083,95%CI:-0.506~0.340; ≥ 3种:β=-0.186,95%CI:-0.730~0.358)与步速的关联无统计学意义。未患心血管代谢性疾病以及患有1种、2种、≥ 3种心血管代谢性疾病的研究对象步速预测值分别为1.98(95%CI:1.38~2.58)、1.93(95%CI:1.34~2.51)、1.89(95%CI:1.18~2.61)和1.79(95%CI:1.10~2.48)m/s,其下降幅度有临床意义。具有较高的握力降低、步速减慢风险的心血管性代谢性疾病组合大多包含糖尿病。结论 心血管代谢性疾病数量和组合与握力降低和步速减慢的风险增加有关。握力和步速可推荐为评估心血管代谢性共病严重程度的测量指标。 |
英文摘要: |
Objective To investigate the associations of cardiometabolic multimorbidity (CMM) with grip strength and gait speed among older Chinese adults. Methods This study included participants aged ≥ 60 years from the China Health and Retirement Longitudinal Survey during 2011-2015. Generalized estimating equation models were employed to estimate the associations of CMM with grip strength and gait speed. Results A total of 6 357 participants were included to measure grip strength and 6 250 participants to measure gait speed. Compared with no cardiometabolic disease, participants with 1 (β=-0.018, 95%CI:-0.026--0.010), 2 (β=-0.029, 95%CI:-0.041--0.018), and ≥ 3 (β=-0.050, 95%CI:-0.063--0.037) cardiometabolic diseases were associated with a decreased grip strength. The associations between cardiometabolic disease counts (1:β=-0.052, 95%CI:-0.326-0.222; 2:β=-0.083, 95%CI:-0.506-0.340; ≥ 3:β=-0.186, 95%CI:-0.730-0.358) and gait speed were not statistically significant. The predictive value of gait speed of the participants with 0, 1, 2, and ≥ 3 cardiometabolic diseases were found to be 1.98 (95%CI:1.38-2.58), 1.93 (95%CI:1.34-2.51), 1.89 (95%CI:1.18-2.61), and 1.79 (95%CI:1.10-2.48) m/s respectively, which was clinically significant for the magnitude of the decrease. Cardiometabolic combinations with a higher risk of decreased grip strength and gait speed mainly seen in diabetes. Conclusions Cardiometabolic disease counts and combinations were associated with grip strength and gait speed. Grip strength and gait speed can be used to measure CMM severity. |
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