ArticleFrontiers in psychology2025
Associations among personality traits, emotional states, and self-management behaviors with quality of life in type 2 diabetes: a structural equation modeling approach examining emotional mediation.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Determinants of Stress and Obstacles to Diabetes-Related Quality of Life in Adults With Type 2 Diabetes: A Cross-Sectional Interaction-Mediation Analysis.Worldviews on evidence-based nursing · 2026Article
- Patterns of discussion on neuroticism and self-management behaviors in type 2 diabetes: a scoping review using machine learning-assisted text mining.Frontiers in public health · 2025Article
- Anxiety, depression, eating behaviors, and irrational food beliefs as predictors of type 2 diabetes risk in Honduran adults.Frontiers in public health · 2025Article
- A cross-sectional primary care study of knowledge, attitudes, and practices of type 2 diabetes self-care and their association with sociodemographic and sociocultural factors in Cali, Colombia.Frontiers in public health · 2025Observational
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Authors and funding
6 authors.
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Abstract
Background: Current empirical literature demonstrates a paucity of evidence elucidating the intricate network relationships among personality traits, emotion states, self-management behaviors, and quality of life (QOL) in patients with type 2 diabetes mellitus (T2DM). This cross-sectional study aimed to investigate these relationships using structural equation modeling (SEM). Methods: A cohort of 839 T2DM patients was systematically recruited from 69 community health service centers in Hangzhou, China, between 2016 and 2020. Standardized instruments were administered to assess demographic characteristics, personality traits (Chinese Big Five Personality Inventory-15, CBF-PI-15), emotional states (Self-Rating Anxiety Scale [SAS] and Self-Rating Depression Scale [SDS]), self-management behaviors (Type 2 Diabetes Self-Care Scale, 2-DSCS), and QOL (MOS 36-Item Short-Form Health Survey, SF-36). Data analyses were performed using SPSS 26.0 and AMOS 21.0. Results: Descriptive statistics revealed the highest mean score for agreeableness (13.58 ± 2.55), whereas self-management subdomains exhibited comparatively lower scores (blood glucose monitoring: 12.17 ± 4.10; regular exercise: 12.35 ± 4.89). Significant anxiety and depressive symptoms were present in 20.4 and 28.6% of participants, respectively. Bivariate correlations showed significant positive associations between self-management behaviors and both psychological/physiological QOL dimensions, alongside negative correlations with anxiety, depression, and neuroticism. The SEM analysis yielded excellent model fit indices ( Conclusion: These findings elucidate the complex psychobehavioral mechanisms underlying QOL in T2DM patients, highlighting the critical mediating role of emotional states between self-management and QOL. The results underscore the imperative for integrated interventions targeting both emotional regulation and behavioral modification in diabetes care protocols.
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