ArticleInternational journal of environmental research and public health2022
Latent Profile Analysis of Self-Supporting Ability among Rural Empty-Nesters in Northwestern China.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Future care preparation profiles and self-support ability among rural Chinese older adults: a cross-sectional study.Frontiers in public health · 2026Article
- Impact of social alienation on self-care ability in rural older adults through psychological resilience and subjective wellbeing.Frontiers in public health · 2026Article
- Latent profile analysis and influencing factors of post-traumatic stress disorder symptoms in young and middle-aged spinal cord injury patients.BMC psychiatry · 2025Article
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Authors and funding
5 authors.
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Abstract
The present study aimed to examine the multi-faceted self-supporting ability profiles of rural empty-nesters in northwestern China on the basis of the self-care ability, economic self-support ability, health self-maintenance ability, physical health self-maintenance ability, and psychological health self-maintenance ability using latent profile analysis. It identified the association of self-supporting ability profiles with demographic variables and sense of coherence. The analysis included 1066 participants (mean age = 70.2; SD = 4.3). The results of latent profile analysis identified three distinctive patterns of self-supporting ability―low physical health self-maintenance ability (C1, 20.5%), low psychological health self-maintenance ability (C2, 31.4%), and high social self-adaption ability (C3, 48.0%). The specific demographic variable age (p < 0.05), monthly income (p < 0.05), education level (p < 0.05), how often their children visit (p < 0.05), how often their children contact them (p < 0.05), whether they drink (p < 0.05), the frequency of physical exercise (p < 0.05), relationship with children (p < 0.05), relationship with neighbours (p < 0.05), medical insurance (p < 0.05), and the number of chronic diseases (p < 0.05) were significantly different among the identified three profiles. A statistically significant positive association existed between self-supporting ability profiles and sense of coherence (SOC) (p < 0.001). The results of multinomial logistic regression showed that a greater sense of coherence (SOC), age ≥ 80, monthly income (RMB) (RMB is the abbreviation for Renminbi) < 1000, a good relationship with neighbours, and one type of chronic disease were significantly associated with C1 when compared with C3 (p < 0.05). Furthermore, a greater SOC, their children visiting and contacting them many times per week or once per week were more significantly related to C2 than to C3 (p < 0.05). This study revealed three groups of self-supporting ability and its related predictors in empty-nesters. The predictors related to particular classes of self-supporting ability can provide information for targeted interventions to improve the self-supporting ability of empty-nesters living in rural areas.
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