Psychological resilience profiles and their psychosocial correlates among adults with prediabetes: a latent profile analysis

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Abstract
Background: Prediabetes is a high-risk metabolic state with a rapidly increasing global prevalence. Beyond its metabolic consequences, individuals with prediabetes face an elevated risk of depression and psychological distress. Psychological resilience, a key protective factor for mental health, may play an important role; however, its heterogeneity and associated factors in this population remain unclear. This study aimed to identify latent profiles of psychological resilience and examine their associated factors within this population. Methods: This cross-sectional study enrolled 315 adult patients with prediabetes. Data were collected using validated questionnaires designed to evaluate psychological resilience (CD-RISC-10), self-efficacy (GSES), social support (SSRS), and illness perception (BIPQ). Latent profile analysis (LPA) was performed in Mplus 8.3 to identify unobserved subgroups of psychological resilience. Model fit was evaluated using AIC, BIC, adjusted BIC, entropy,the BLRT, and the LMR-LRT, together with interpretability. Multinomial logistic regression analysis was conducted to identify factors associated with latent profile membership. Results: The mean psychological resilience score among adults with prediabetes was 28.56 ± 7.19, indicating a moderate level. Latent profile analysis identified three distinct subgroups of psychological resilience: the low-resilience profile (n = 58, 18.4%), the moderate-resilience profile (n = 152, 48.3%), and the high-resilience profile (n = 105, 33.3%), indicating marked heterogeneity in resilience patterns. Multinomial logistic regression analysis showed that self-efficacy, social support, medical payment method, and marital status were independently associated with latent profile membership. Conclusion: This study identified three distinct latent profiles of psychological resilience among adults with prediabetes, revealing substantial heterogeneity within this population. Self-efficacy, social support, marital status, and medical payment method are key factors associated with profile membership. These findings highlight the importance of incorporating psychological and social determinants into targeted nursing interventions to enhance resilience in this population.
Funding Information
  • National Natural Science Foundation of China
  • Basic and Applied Basic Research Foundation of Guangdong Province
  • Fundamental Research Funds for the Central Universities

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