Social network and related factors in older people with sensory impairment in the community: Using principal component analysis

主成分分析 感觉系统 组分(热力学) 心理学 老年学 医学 认知心理学 计算机科学 人工智能 物理 热力学
作者
Li Kuang,Hanyu Hu,S Xiang,Hui Zhang,Guangnan Liu,Rui Tai,Lingling Wang,Yu Sheng
出处
期刊:Geriatric Nursing [Elsevier BV]
卷期号:57: 109-116 被引量:1
标识
DOI:10.1016/j.gerinurse.2024.04.007
摘要

Older people with sensory impairment are more likely to have smaller and weaker social network due to their reduced ability, which lowers their quality of life. However, there is little research on the social network in older people with sensory impairment, especially the related factors. The aim of the study was to explore the related factors of social network and to provide evidence for the improvement of social network to promote successful aging in older people with sensory impairment. A cross-sectional study was conducted among 374 participants for hearing and vision assessment and questionnaire survey in a community, Beijing. Data were collected and analyzed by principal component analysis (PCA) and multiple logistic regression using IBM SPSS 25.0 software. PCA showed that there were six risk factors whose eigenvalues >1 were extracted, with a total variance of 56.555%. Multiple logistic regression analysis of principal component indicated that five factors including physical health factor, social interaction factor, psychological status factor, lifestyle factor, and family condition factor, were statistically significant (p < 0.05). The social network of older people with sensory impairment is relatively poor. Physical health factor, social interaction factor, psychological status factor, lifestyle factor, and family condition factor may be related factors. Medical staff should pay attention to physical, psychological and social characteristics of older people, especially with sensory impairment, to carry out necessary measures to improve social network and avoid social isolation.

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