高级检索
李雅娜, 韩影, 刘瑶, 王雪, 楚梦媛, 贾亚楠, 赵雅宁. 唐山市社区老年人社会隔离影响因素分析[J]. 中国公共卫生, 2021, 37(2): 319-322. DOI: 10.11847/zgggws1124142
引用本文: 李雅娜, 韩影, 刘瑶, 王雪, 楚梦媛, 贾亚楠, 赵雅宁. 唐山市社区老年人社会隔离影响因素分析[J]. 中国公共卫生, 2021, 37(2): 319-322. DOI: 10.11847/zgggws1124142
LI Ya-na, HAN Ying, LIU Yao, WANG Xue, . Prevalence and influencing factors of social isolation among community elderly in Tangshan city[J]. Chinese Journal of Public Health, 2021, 37(2): 319-322. DOI: 10.11847/zgggws1124142
Citation: LI Ya-na, HAN Ying, LIU Yao, WANG Xue, . Prevalence and influencing factors of social isolation among community elderly in Tangshan city[J]. Chinese Journal of Public Health, 2021, 37(2): 319-322. DOI: 10.11847/zgggws1124142

唐山市社区老年人社会隔离影响因素分析

Prevalence and influencing factors of social isolation among community elderly in Tangshan city

  • 摘要:
      目的  调查社区老年人社会隔离现状,探讨社区老年人社会隔离的影响因素,为提高老年人生活质量提供理论依据。
      方法  于2017年12月 — 2018年8月。取便利选取的方法在河北省唐山市6个社区内,对 ≥ 60岁的1 526名老年人采用一般资料调查表(包括年龄、性别、婚姻状况、文化程度、退休前职业、健康状况、月收入、社区情况等)、Lubben的精简版社会网络量表、情感平衡量表、社会支持评定量表、蒙特利尔认知评估量表等进行问卷调查。
      结果  调查的1 526名社区老年人中,371人发生社会隔离,得分为(16.16 ± 5.447)分,占24.3 %。在社区老年人社会隔离影响因素的单因素分析中:一般特征(年龄、文化程度、婚姻状况、子女数),健康状况(慢病、感知觉功能、认知功能),心理状况(情感平衡、负性生活刺激、人际幸福感),家庭状况(家庭结构、隔代抚育),社会状况(社会支持、社区功能)均有统计学意义(P < 0.05);在社区老年人社会隔离影响因素的多重线性回归分析中,社会隔离的影响因素为高龄、文化程度、子女数、≥ 3种慢病、认知功能、情感平衡、隔代抚育、社会支持、社区功能(P < 0.05)。
      结论  唐山市社区老年人发生社会隔离的影响因素较多,加强家庭支持和社会支持等因素可以降低社会隔离的风险。

     

    Abstract:
      Objective  To investigate the status quo and influencing factors of social isolation among community elderly and to provide evidences for improving the quality of life of the elderly.
      Methods  Using convenient sampling, we recruited 1 526 residents aged 60 years and above in 6 communities of Tangshan city, Hebei province for face-to-face interviews conducted from December 2017 to August 2018. A self-designed questionnaire, the Abbreviated Lubben Social Network Scale (LSNS-6), Emotional Balance Scale, Social Support Rating Scale and Montreal Cognitive Assessment Scale were used in the survey.
      Results  For all the participants averagely aged 71.08 ± 7.729 years, the mean score of LSNS-6 was 16.16 ± 5.447 and 371 (24.3%) were assessed as being with social isolation (LSNS-6 score of ≤ 12). Univariate analysis revealed following significant influencing factors of social isolation: demographic characteristics (age, education, marital status, number of children), health condition (chronic illness, physiological perception, cognitive function), psychological status (emotional balance, negative life event, interpersonal well-being), family environment (family structure and grandparenting) and social environment (social support and community function) (P < 0.05 for all). Multivariate linear regression analysis demonstrated that age, education, number of children, having three or more chronic diseases, cognitive function, emotional balance, grandparenting, social support, and community function were of significant influence on social isolation among the participants (all P < 0.05).
      Conclusion  Multiple factors have significant impact upon social isolation among elderly community residents in Tangshan city and strengthening familial and social support can reduce the risk of social isolation in the elderly.

     

/

返回文章
返回