Asian Nurs Res.  2011 Dec;5(4):204-209.

Relationship Between Health-related Behavioral and Psychological Factors and Cardiovascular and Cerebrovascular Diseases Comorbidity Among Korean Adults With Diabetes

Affiliations
  • 1Suwon Women's College, Suwon, South Korea.
  • 2Korea Health Industry Development Institute, Chungcheongbuk-do, South Korea. chinyr@khidi.or.kr
  • 3College of Nursing, Seoul National University, Seoul, South Korea.

Abstract

PURPOSE
This study aims to explore the relationships between health-related behavioral and psychological factors and cardiovascular and cerebrovascular diseases (CCVD) comorbidities among Korean adults with diabetes mellitus (DM).
METHODS
Data included in the Fourth Korean National Health and Nutrition Examination Survey were used. This study compared three groups: those diagnosed with DM only, DM and hypertension, DM, hypertension and CCVD using multinomial logistic regression analyses and the classification and regression tree (CART) model.
RESULTS
Weight control (OR = 4.01) and depression (OR = 2.37) are related with increased odds of having hypertension and CCVD comorbidity in those with DM. The CART model suggested that the high prevalence risk groups for hypertension or CCVD comorbidities were diabetic adults aged between 51 and 69 with a body mass index of 25 and above and those aged 70 and above.
CONCLUSION
For effective control of CCVD comorbidities among diabetic Korean adults, psychological support for depression and weight control need to be prioritized when managing DM. Weight control intervention needs to be reinforced for DM patients aged between 51 and 69 and that even if BMI is below 25, the occurrence of comorbidities needs to be carefully monitored for DM patients aged 70 or older.

Keyword

cardiovascular diseases; cerebrovascular disorders; health behavior; hypertension; type 2 diabetes mellitus

MeSH Terms

Adult
Aged
Body Mass Index
Cardiovascular Diseases
Cerebrovascular Disorders
Comorbidity
Depression
Diabetes Mellitus
Diabetes Mellitus, Type 2
Health Behavior
Humans
Hypertension
Logistic Models
Nutrition Surveys
Prevalence
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