ArticlePatient preference and adherence2024
Prevalence and Correlators of Diabetes Distress in Adults with Type 2 Diabetes: A Cross-Sectional Study.
Article in Patient preference and adherence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 10 citations in OpenAlex.
- Gender, age, and socioeconomic position-specific associations between illness perception and diabetes-related distress: cross-sectional analysis among people with type 2 diabetes.Frontiers in endocrinology · 2026Article
- Trajectory prediction model of diabetes distress in adults with type 2 diabetes mellitus: a 12-month prospective longitudinal study.Frontiers in psychology · 2026Article
- 'If You Cut Me, I'd Probably Bleed Coca-Cola': A Qualitative Exploration of Barriers and Facilitators to Type 2 Diabetes Management Among Chinese Adults in the UK.Journal of diabetes research · 2026Article
- Psychological-dietary interactions in chronic disease management: mechanisms and integrated intervention strategies.Frontiers in nutrition · 2026Review
- Mood Temperaments in Patients With Diabetes Mellitus.Health science reports · 2025Article
- Diabetes distress among adults with type 2 diabetes mellitus in the North of West Bank-Palestine.Discover mental health · 2025Article
- Exploring Expectations Regarding Aging and Related Influencing Factors in Older People with Type 2 Diabetes Mellitus: A Cross-Sectional Study.Clinical interventions in aging · 2025Article
- Factors influencing health-related quality of life among people with uncontrolled type II diabetes mellitus in Wenzhou, China: A cross-sectional study.Belitung nursing journal · 2025Article
- Article
- The Interrelationship between Diabetes Mellitus and Emotional Well-Being: Current Concepts and Future Prospects.Healthcare (Basel, Switzerland) · 2024Review
- Application of the path analysis model to evaluate the role of distress, mental health literacy and burnout in predicting self-care behaviors among patients with type 2 diabetes.Diabetology & metabolic syndrome · 2024Article
- Psychological distress, coping methods and self-care among people with diabetes mellitus in Ibadan.Nigerian medical journal : journal of the Nigeria Medical AssociationReview
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To address the prevalence of diabetes distress (DD) and its correlators in adults with type 2 diabetes. Patients and Methods: During 2021 and 2022, we conducted a cross-sectional study in three Class A tertiary comprehensive hospitals in China, and received 947 participants who completed a printed survey covering DD, demographic, diabetic, physiological, and psychosocial factors. We used Jonckheere-Terpstra, chi-square, and Fisher's exact tests to assess intergroup differences between different levels of DD. We used ordinal logistic regression analysis to analyze correlators of DD further. Results: The prevalence of DD was 34.64%. In univariate analysis, those with lower satisfaction with financial status, longer durations of diabetes, more complications, higher glycemia, more severe insomnia, treatment by medications only, poorer lifestyle interventions, fewer self-care activities, more types and frequencies of insulin injections, and spending more money and time on treatment were susceptible to DD. Type D personality, negative illness perceptions, negative coping styles, and psychological effects of major life events were related to higher DD. Hope, self-efficacy, positive coping styles, and social support can reduce DD. In ordinal logistic regression analysis, hypoglycemic episode ( Conclusion: More than one-third of Chinese adults with type 2 diabetes experience moderate or high levels of DD. DD was associated with financial, diabetic, physiological, and psychosocial status.
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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.