Exploration of subgroups and predictors of loneliness among older adults in rural China: A latent profile analysis.
BMC Geriatr
; 24(1): 195, 2024 Feb 27.
Article
em En
| MEDLINE
| ID: mdl-38408957
ABSTRACT
BACKGROUND:
Loneliness is a negative emotional state that can lead to physical and mental health problems. This study's objective was to acquire an in-depth understanding of the heterogeneity and the predictors of loneliness among older adults in rural China and provide valuable references for practical interventions.METHODS:
Older rural adults in China (N = 680) were recruited between January and April 2023. Latent profile analysis (LPA) was employed to identify subgroups of loneliness among participants. Single-factor and multinomial logistic regression analyses were conducted to investigate predictors of loneliness.RESULTS:
The loneliness of rural older adults could be divided into three subgroups low interaction loneliness group (55.0%), moderate emotional loneliness group (31.8%), and high loneliness group (13.2%). The subgroup predictors included age, gender, religious beliefs, marital status, living alone, number of chronic diseases, and smartphone use (P < 0.05).CONCLUSION:
This study identified a classification pattern for loneliness among older adults in rural areas of China, revealed the characteristics of different demographic variables in loneliness categories, and highlighted the heterogeneity of loneliness in this population. It serves as a theoretical reference for formulating intervention plans aimed at addressing various loneliness categories for local rural older adults. CLINICAL TRIAL REGISTRATION ChiCTR2300071591.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Emoções
/
Solidão
Limite:
Aged
/
Humans
País/Região como assunto:
Asia
Idioma:
En
Revista:
BMC Geriatr
Assunto da revista:
GERIATRIA
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
China