Independent factors associated with major depressive disorder in a national sample of individuals with diabetes
Open accessAbstract
OBJECTIVE—To determine whether perceived poor physical health, duration of diabetes, and smoking are associated with major depressive disorder in a national sample of individuals with diabetes. RESEARCH DESIGN AND METHODS—Data on 1,810 individuals with diabetes from the 1999 National Health Interview Survey (NHIS) were analyzed. The Composite International Diagnostic Interview (CIDI) Short-Form (CIDI-SF) developed by the World Health Organization was used to identify individuals with major depressive disorder. Multiple logistic regression was used to determine whether perceived poor physical health, duration of diabetes, and smoking were associated with major depressive disorder. The model controlled for age, sex, race/ethnicity, education, income, employment, marital status, and health status. Other control variables included BMI, smoking, duration of diabetes, presence or absence of major complications, and type of treatment for diabetes. SUDAAN software was used for statistical analyses to account for the complex sampling design of NHIS. RESULTS—Independent factors associated with major depressive disorder were age <64 years, female sex, at least high school education, income <124% of federal poverty level, perceived worsening of health status, and smoking. CONCLUSIONS—In addition to other psychosocial factors such as younger age, female sex, lower income, at least high school education, and smoking, perceptions about the effect of diabetes on overall health seems to play an important role in the etiology of depression.
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Regular PA may improve psychological well-being, health-related QOL, and depression in individuals with type 2 diabetes, among whom depression is more common than in the general population.
“Regular PA may improve psychological well-being, health-related QOL, and depression in individuals with type 2 diabetes, among whom depression is more common than in the general population”
From Exercise and Type 2 Diabetes (2010) · cites this paper as [73]
The Results (Health care utilization section; page unavailable) report major depressive disorder in 9.3% of adults with diabetes versus 6.1% without diabetes, supporting the higher-prevalence point. The paper does not distinguish type 1 from type 2 diabetes, and the passages do not address whether regular physical activity improves psychological well-being, quality of life, or depression. (LLM, conf=0.90)
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- Authors
- Egede, L. E., & Zheng, D.
- Affiliations
- Medical University of South Carolina (US)
- ORCID
- Egede, Leonard E.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2003-01-01
- Volume
- 26
- Issue
- 1
- Pages
- 104-111
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2115446906
- Cited by
- 235
- References
- 43
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 5 · 2023: 3 · 2022: 2 · 2021: 7 · 2020: 12 · 2019: 9 · 2018: 9 · 2017: 10 · 2016: 10 · 2015: 7 · 2014: 15 · 2013: 10 · 2012: 21
- FWCI
- 7.34
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Centers for Disease Control and Prevention
- Agency for Healthcare Research and Quality (1K08HS11418)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- major depressive disorder, diabetes mellitus, diabetes duration, smoking, risk factors for depression, health status perception, sex differences, socioeconomic factors, educational attainment, income
- MeSH terms
- Adolescent, Adult, Aged, Depressive Disorder, Major, Major Depressive Disorder, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Female, Health Status, Humans, Male, Middle Aged, Psychology, Risk Factors, Smoking, Social Class, Multivariate Analysis
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