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. 2025 Jun 20;15(6):e094601.
doi: 10.1136/bmjopen-2024-094601.

Relationship between resilience and social trust in nursing homes in Guangzhou, China: a cross-sectional study

Zhenrong Shen  1 , Bing Guo  2 , Mei Yin  2 , Minyu Liang  1 , Hongman Li  1 , Zeng Jie Ye  3
Affiliations

Relationship between resilience and social trust in nursing homes in Guangzhou, China: a cross-sectional study

Zhenrong Shen et al. BMJ Open. .

Abstract

Objectives: To identify latent resilience profiles among older adults residing in nursing homes and to examine the mediating role of perceived social support in the relationship between resilience and social trust.

Design: A cross-sectional survey conducted between January and May 2023.

Setting: Three nursing homes in urban Guangzhou, China.

Participants: A total of 233 older adults aged 60 years or above living in nursing homes.

Primary and secondary outcome measures: Identification of latent profiles of resilience and the mediating effect of perceived social support on the relationship between resilience and social trust.

Results: Of the 254 participants, 233 (91.7%) completed the survey. The sample comprised 60% females, with 55% aged 80 or older. Three distinct latent profiles of resilience were identified: low resilience (55.8%), moderate resilience (12.0%) and high resilience (32.2%). Moreover, perceived social support significantly mediated the relationship between resilience and social trust (B=0.72, SE=0.23, 95% CI (0.3, 1.21)).

Conclusion: Perceived social support mediates the link between resilience and social trust in institutionalised older adults. Tailored care strategies based on individual resilience profiles may enhance social support and foster trust, contributing to active ageing in nursing home residents.

Keywords: Aging; Nursing Care; Patient-Centered Care; Social Cognition; Social Support.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1. Theoretical framework.
Figure 2
Figure 2. Latent profile analysis of resilience among older adults. (A) Fit indices for one- to five-profile models. (B) Mean scores for each item across the three-profile model. AIC, akaike information criterion; aBIC, adjusted Bayesian information criterion; BIC, Bayesian information criterion; BLRT, Bootstrap Likelihood Ratio Test; LMR, Lo-Mendell-Rubin Likelihood Ratio Test.
Figure 3
Figure 3. Analysis of social trust differences across resilience profiles. (A)Differences in trust scores between low and high resilience groups. (B) Differences in trust scores between moderate and high resilience groups. (C) Differences in trust scores between low and moderate resilience groups. BF₁₀, Bayes Factor comparing the alternative hypothesis (H₁) to the null hypothesis (H₀).
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