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Analysis on influencing factors on loneliness in the elderly aged 60 and above in China / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 1086-1091, 2023.
Article em Zh | WPRIM | ID: wpr-985637
Biblioteca responsável: WPRO
ABSTRACT
Objective: To analyze the influential factors of loneliness in the elderly aged ≥60 years in China. Methods: Data used in this study were obtained from participants aged ≥60 years from the China Longitudinal Aging Social Survey, with a sample size of 7 593. Loneliness was measured with loneliness scale, and the influence of subjective and objective factors on loneliness and their interaction were analyzed with stepwise linear regression model and simple slope test. SPSS 25.0 was used for statistical analysis. PROCESS 3.3 macro program was used for simple slope test. Results: A total of 8 926 participants were included. Among the objective factors, the elderly with poor family network have a higher level of loneliness (P<0.05), and community provision of elderly care services could reduce the loneliness of the elderly (P<0.05). Elderly people with subjective aging age ≤60 years old and poor social adaptation and emotional perception have higher levels of loneliness (all P<0.05). Subjective aging age plays a negative regulatory role in the impact of community elderly care services on loneliness (P<0.05), Social adaptation and emotional perception play a negative regulatory role in the impact of family network on loneliness (P<0.05). Conclusions: Elderly people aged ≥60 years of feeling of loneliness was affected by both subjective and objective factors and subjective factors play an important regulatory role in the influence of objective factors on elderly people's feeling of loneliness in China. Therefore, while creating a good aging environment to provide strong external support for the elderly, the subjective initiative of the elderly should also be fully mobilized, to alleviate the loneliness of the elderly from these two aspects.
Texto completo: 1 Base de dados: WPRIM Idioma: Zh Revista: Chinese Journal of Epidemiology Ano de publicação: 2023 Tipo de documento: Article
Texto completo: 1 Base de dados: WPRIM Idioma: Zh Revista: Chinese Journal of Epidemiology Ano de publicação: 2023 Tipo de documento: Article