Evidence map›Paper›PMID 42851715›Full record

ArticleFrontiers in psychiatry2026

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

Xiling Hu, Hui Liu, Kunhua Yu, Xinqi Zhuang, Jianzhong Zhang, Yin-Ping Zhang

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Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiling Hu *School of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Hui Liu *Department of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology and Guangzhou Municipal Key Laboratory of Mechanistic and Translational Obesity Research, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Kunhua YuDepartment of Endocrinology and Metabolism, Guangdong Provincial Key Laboratory of Diabetology and Guangzhou Municipal Key Laboratory of Mechanistic and Translational Obesity Research, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xinqi ZhuangSchool of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Jianzhong ZhangSchool of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Yin-Ping ZhangSchool of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

determinantslatent profile analysismental healthprediabetespsychological resilience

Identifiers

PMID42851715
PMCPMC13647116

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.