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董潇杨, 张琳洁, 顾冬红, 等. 中老年人握力与多重慢病共病关联的纵向研究[J]. 四川大学学报(医学版), 2021, 52(2): 267-273. DOI: 10.12182/20210360204
引用本文: 董潇杨, 张琳洁, 顾冬红, 等. 中老年人握力与多重慢病共病关联的纵向研究[J]. 四川大学学报(医学版), 2021, 52(2): 267-273. DOI: 10.12182/20210360204
DONG Xiao-yang, ZHANG Lin-jie, GU Dong-hong, et al. Longitudinal Study of the Association Between Handgrip Strength and Chronic Disease Multimorbidity among Middle-aged and Older Adults[J]. Journal of Sichuan University (Medical Sciences), 2021, 52(2): 267-273. DOI: 10.12182/20210360204
Citation: DONG Xiao-yang, ZHANG Lin-jie, GU Dong-hong, et al. Longitudinal Study of the Association Between Handgrip Strength and Chronic Disease Multimorbidity among Middle-aged and Older Adults[J]. Journal of Sichuan University (Medical Sciences), 2021, 52(2): 267-273. DOI: 10.12182/20210360204

中老年人握力与多重慢病共病关联的纵向研究

Longitudinal Study of the Association Between Handgrip Strength and Chronic Disease Multimorbidity among Middle-aged and Older Adults

  • 摘要:
      目的  探讨中老年人握力与其共病患病的关联。
      方法  采用中国健康与养老追踪调查(CHARLS)基线数据(2011年)和第二轮随访数据(2015年),选取≥40岁人群作为研究对象。调查内容包括手握力、慢病患病状况、人口学变量、健康行为变量等。采用广义估计方程分析握力与共病的纵向关联。
      结果  共纳入基线样本和随访样本共28 368人,平均年龄为(59.1±9.7)岁,最大96岁,最小40岁。其中男性6 239人,占比47.3%。调查对象第二轮随访中成功追访9 186名基线受访者,新增受访者5 994人,共15 180人。与基线相比,第二轮随访受访者女性更多(P=0.033)、年龄较大(P<0.001)。从基线到第二轮随访,最低握力分类Q1从23.4%增长到26.6%,最高握力分类Q4从26.5%降低到21.2%;3种以上慢病患病率从18.2%增长至24.2%;5种以上慢病患病率从3.3%增长至6.2%。调整混杂变量后,握力与时间的交互项有统计学意义(P<0.05)。按性别分层后,男性握力与随访时间交互项在两个模型中都有统计学意义(P<0.05)。交互项的边际效应图显示较低握力水平的受访者随着年龄增长,共病患病率增长更快。单独效应分析表明手握力与共病患病关联在基线时没有统计学意义,在4年后随访时手握力与共病患病关联有统计学意义。
      结论  较低的基线握力受访者随时间推移,与更高的共病患病风险相关。握力可作为一种有效的中国中老年人筛查工具,有助于识别有较高慢病共病风险的老年人。

     

    Abstract:
      Objective  To investigate the potential association between multimorbidity and the handgrip strength of middle-aged and older adults.
      Methods  The baseline (2011) and second-round follow-up (2015) data of China Health and Retirement Longitudinal Study (CHARLS) were used. Adults≥40 were selected as the subjects of the study. Variables incorporated in the study included handgrip strength, chronic disease prevalence, demographic variables, and health behavior variables. Generalized estimating equations were used to analyze the longitudinal association between handgrip strength and multimorbidity.
      Results  A total of 28 368 middle-aged and older adults were included in the baseline and follow-up samples, with an average age of (59.1±9.7) years old, the oldest being 96 while the youngest being 40. Among them, 6 239 were male, accounting for 47.3%. In the second-round follow-up, 9 186 baseline respondents and 5 994 new respondents were covered, reaching a total of 15 180 respondents. Compared with the baseline, a higher proportion of the second-round follow-up respondents were female (P=0.033) and were older (P<0.001). From the baseline to the second-round follow-up, Q1, the lowest grip strength category, increased from 23.4% to 26.6%, while Q4, the highest grip strength category, decreased from 26.5% to 21.2%. The prevalence of having more than three chronic diseases increased from 18.2% to 24.2% and the prevalence of having more than five chronic diseases increased from 3.3% to 6.2%. After adjusting for confounding variables, the interaction items of handgrip strength and time showed statistical significance. After stratification by gender, the interaction items of male handgrip strength and follow-up time were statistically significant in both models (P<0.05). The marginal effect graph of the interactive item showed that the multimorbidity prevalence of respondents with lower handgrip levels grew faster with age. Individual effect analysis showed that the correlation between handgrip strength and multimorbidity was not statistically significant at baseline, but the follow-up done four years afterwards showed statistical significant correlation between handgrip strength and multimorbidity.
      Conclusion  Respondents with lower baseline handgrip strength are associated with increasingly higher risk of multimorbidity over time. Handgrip strength can be used as an effective screening tool for middle-aged and older adults in China to identify those at higher risks of multimorbidity of chronic diseases.

     

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