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基于多状态马尔科夫模型的跌倒状态纵向转移及其风险因素关联

Longitudinal Transitions of Fall States Based on a Multi-State Markov Model and Their Associated Risk Factors

  • 摘要:
    目的 探究我国中老年人跌倒状态变化的转移强度和转移概率,并评估潜在风险因素对跌倒的影响。
    方法 本研究基于中国健康与养老追踪调查(China Health and Retirement Longitudinal Study, CHARLS)数据,采用多状态马尔科夫模型(multi-state Markov model, MSM)分析未跌倒或跌倒无须治疗、跌倒需治疗和死亡状态之间的转移强度和概率。
    结果 研究共纳入14722名参与者,平均年龄为(59.4±9.7)岁,其中男性占47.9%;随访中位数为9年(IQR 7~9年)。基线时,12381名(84.1%)报告未跌倒或跌倒无须治疗,2341名(15.9%)报告跌倒需治疗。在一个随访周期内经历跌倒需要治疗者,有55.2%的概率在随后的两年内不再跌倒或仅跌倒无须治疗,有37.6%的概率可能会继续经历需治疗的跌倒,而其死亡概率为7.2%。一个随访周期从未跌倒或跌倒无须治疗状态向跌倒需治疗状态转移的风险随年龄每增加5岁上升8.6%;女性相较于男性,风险增加35.1%;农村居民的风险增加10.1%;离婚、分居、丧偶或未婚者的风险增加20.7%;躯体功能受损程度越高,风险越高;有抑郁症状风险增加31.6%;患有一种慢性病增加9.6%的风险,多病共存则使风险增加28.8%。
    结论 本研究推导出跌倒是一个动态变化的过程,应重视年龄较大、有过跌倒就医史、独居者、躯体功能受损、有抑郁症状者的跌倒预防。

     

    Abstract:
    Objective To investigate the transition intensity and transition probabilities of fall states among middle-aged and older adults in China, and to assess the impact of potential risk factors on falls.
    Methods We utilized in the study data from the China Health and Retirement Longitudinal Study (CHARLS) and employed a multi-state Markov model (MSM) to analyze the transition intensity and probabilities between states of no falls or falls without treatment, falls requiring treatment, and death.
    Results A total of 14722 participants were enrolled, with a mean age of (59.4 years ± 9.7 years), and 47.9% were male. The median follow-up period was 9 years (interquartile range IQR, 7-9 years). At baseline, 12381 participants (84.1%) reported no falls or falls without treatment, while 2341 (15.9%) reported falls requiring treatment. Participants who experienced falls requiring treatment within one follow-up cycle had a 55.2% probability of not falling again or only falling without treatment in the subsequent two years, a 37.6% probability of continuing to experience falls requiring treatment, and a 7.2% probability of death. The risk of transitioning from a state of no falls or falls without treatment to falls requiring treatment increased by 8.6% for every 5-year increase in age. The risk was 35.1% higher for females compared to males. Rural residents had a 10.1% higher risk. Those who were divorced, separated, widowed, or never married had a 20.7% higher risk. Higher degrees of physical function impairment were associated with an increased risk. Depressive symptoms increased the risk by 31.6%. Having one chronic disease raised the risk by 9.6%, while multimorbidity led to a 28.8% increase in risk.
    Conclusion  According to the findings of the study, falls are a dynamic process and emphasis should be given to fall prevention for older adults, individuals with a history of fall-related medical visits, those living alone, those with impaired physical function, and those with depressive symptoms.

     

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