高级检索
袁满琼, 韦兴良, 陈佳, 杨梓梅, 韩耀风, 方亚. 厦门市老年人轻度认知功能障碍患病情况及其影响因素分析[J]. 中国公共卫生, 2021, 37(1): 15-18. DOI: 10.11847/zgggws1124578
引用本文: 袁满琼, 韦兴良, 陈佳, 杨梓梅, 韩耀风, 方亚. 厦门市老年人轻度认知功能障碍患病情况及其影响因素分析[J]. 中国公共卫生, 2021, 37(1): 15-18. DOI: 10.11847/zgggws1124578
YUAN Man-qiong, WEI Xing-liang, CHEN Jia, . Prevalence and influencing factors of mild cognitive impairment among elderly residents in urban and rural Xiamen[J]. Chinese Journal of Public Health, 2021, 37(1): 15-18. DOI: 10.11847/zgggws1124578
Citation: YUAN Man-qiong, WEI Xing-liang, CHEN Jia, . Prevalence and influencing factors of mild cognitive impairment among elderly residents in urban and rural Xiamen[J]. Chinese Journal of Public Health, 2021, 37(1): 15-18. DOI: 10.11847/zgggws1124578

厦门市老年人轻度认知功能障碍患病情况及其影响因素分析

Prevalence and influencing factors of mild cognitive impairment among elderly residents in urban and rural Xiamen

  • 摘要:
      目的  了解福建省厦门市老年人轻度认知功能障碍(MCI)患病情况及其影响因素,为改善老年人认知功能、提高老年人生活质量提供科学依据。
      方法  于2016年7 — 10月采用分层随机抽样方法在厦门市抽取3 043名 ≥ 60岁老年人进行问卷调查。
      结果  厦门市调查的3 043名老年人中,患MCI者 613例,MCI患病率为20.14 %;多因素非条件logistic回归分析结果显示,女性、年龄 ≥ 70岁、文化程度小学及以上、居住在郊区和农村是厦门市老年人MCI患病的危险因素,使用智能手机、睡眠质量一般和好是厦门市老年人MCI患病的保护因素。
      结论  厦门市老年人MCI患病率较高,性别、年龄、文化程度、居住地、使用智能手机情况和睡眠质量是该地区老年人MCI患病的主要影响因素。

     

    Abstract:
      Objective  To investigate the prevalence and influencing factors of mild cognitive impairment (MCI) in the elderly in Xiamen municipality (Xiamen) of Fujian province for providing evidences to improve cognitive function and quality of life of the elderly.
      Methods  Using stratified random sampling, we conducted a survey among 3 230 permanent residents aged 60 years and above in 44 urban communities or rural villages across Xiamen during July – October 2016. Montreal Cognitive Assessment (MoCA), Activities of Daily Living (ADL), and a self-designed questionnaire were adopted in the study.
      Results  Among the 3 043 residents with valid information, 613 were identified suffering from MCI and the prevalence of MCI was 20.14%. Unconditional multivariate logistic regression analysis demonstrated that female gender, at elder age, living in suburban or rural areas were risk factors of MCI; while, using smart phone and having common or good sleep quality were protective factors against MCI.
      Conclusion  The prevalence of MCI is relatively high and mainly influenced by gender, age, residential place, use of smart phone, and sleep quality among the elderly in urban and rural Xiamen.

     

/

返回文章
返回