• Nutrition Research and Practice
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• v.6 no.2
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• pp.162-168
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• 2012

Vitamin D deficiency is a risk factor for metabolic syndromes. We examined whether vitamin D deficiency altered the prevalence of cardiovascular disease (CVD) in older Koreans. Cross-sectional analysis of data from the Korean National Health and Nutrition Examination Survey IV 2008-2009 was used to examine the association between serum 25-hydroxyvitamin D (25(OH)D) levels and the prevalence of CVD in a representative population-based sample of 5,559 men and women aged ${\geq}50$ years. CVD was defined as angina pectoris, myocardial infarction, or stroke. The prevalence of CVD (7.0%) in the older Korean population was lower than that in the older US population, although average serum 25(OH)D levels were much lower in the Korean population. Additionally, serum 25(OH)D levels did not differ significantly between the CVD and non-CVD groups. However, subjects in the lowest category (< 25 nmol/l) of serum 25(OH)D level had the greatest prevalence of CVD, about two-fold higher than subjects in the highest category (> 75 nmol/l), after adjusting for age, gender, body mass index, education level, residence location, and region. The prevalence of other risk factors for CVD, including higher waist circumference, fasting glucose, low-density lipoprotein (LDL) cholesterol, and triglyceride levels and lower high-density lipoprotein (HDL) cholesterol levels, was also higher among subjects in the lowest category than among those in the highest category. In conclusion, low serum 25(OH)D may be an independent risk factor for CVD in older Koreans.

• Journal of the Ergonomics Society of Korea
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• v.33 no.4
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• pp.289-297
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• 2014

Objective: The purpose of this study is to identify the incidence risk of cardiovascular disease (CVD) in the workplace, and to suggest the prediction models for level of CVD incidence risk. Background: CVD can be caused by various factors related to personal habits such as diet and exercise, or genetics. However it can also be caused and aggravated by work, making the elimination of such risk factors at work crucial disease (KOSHA, 2013). Method: The distribution of CVD risk assessment levels of 162 workers was compared with the acquired medical examination data to discuss the necessity of assigning additional risk factors. Two alternative risk assessment models were given to enhance the accuracy of the evaluation; adjusting risk scores given in the KOSHA GUIDE H-1-2013 (alternative 1) and building a matrix of KOSHA GUIDE H-1-2013 and risk assessment results based on work condition levels (alternative 2). To verify the suggested models, medical examination results of 12 workers approved of convalescence were referred to. Results: The second alternative showed more relevance between the results and workers approved of convalescence in predicting the risk group when applied to actual heath examination data from the approved workers. The power of description of the new method for determining the risk of CVD incidence, 83.3%, is higher than that of KOSHA GUIDE H-1-2013, 25%. Conclusion: Results of this study imply that more approved workers had been from unmanaged normal groups than managed risk groups, raising the importance of CVD management. Application: The new prediction model considering working time and shift work developed in this study is expected to be a fundamental data for risk analysis and management of CVD in the workplace.

• Communications for Statistical Applications and Methods
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• v.25 no.3
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• pp.297-306
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• 2018

Cardiovascular disease (CVD) is the leading cause of death worldwide and has a high mortality rate after onset; therefore, the CVD management requires the development of treatment plans and the prediction of prevalence rates. In our study, age, income, education level, marriage status, diabetes, and obesity were identified as risk factors for CVD. Using these 6 factors, we proposed a nomogram based on a $na{\ddot{i}}ve$ Bayesian classifier model for CVD. The attributes for each factor were assigned point values between -100 and 100 by Bayes' theorem, and the negative or positive attributes for CVD were represented to the values. Additionally, the prevalence rate can be calculated even in cases with some missing attribute values. A receiver operation characteristic (ROC) curve and calibration plot verified the nomogram. Consequently, when the attribute values for these risk factors are known, the prevalence rate for CVD can be predicted using the proposed nomogram based on a $na{\ddot{i}}ve$ Bayesian classifier model.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.113-124
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• 2022

This study was conducted to analyze the relationship between the levels of lead (Pb) exposure and cardiovascular disease (CVD) in Korean adult women. We used cross-sectional data on blood lead and self-reported diagnoses of ischemic heart disease (IHD), stroke and hypertension in a subsample of 1.821 adults 19 years and older who participated in the 2017 Korea National Health and Nutrition Examination Survey (KNHANES). CVD and blood Pb concentrations were analyzed through logistic regression analysis, and correlations between factors were confirmed using the pearson correlation coefficient. An increase of blood Pb was associated with an increased risk of IHD (OR 5.68, 95% CI 1.01-17.51) and hypertension (OR 3.37, 95% CI 2.24-5.07) only in women. Additionally, there was a correlation between blood Pb and nutrient intake. This suggest that blood Pb levels may be used as a key predictor of CVD development, and that women are more susceptable to IHD and hypertension associated with Pb exposure.

• Korean Journal of Occupational Health Nursing
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• v.25 no.1
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• pp.41-54
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• 2016

Purpose: The purposes of this study were to review the research trends and to identify developmental direction of studies on community interventions according to the ecological model for workers with cardiovascular diseases (CVD) risk factors. Methods: Electronic databases including PsycINFO, PubMed, EMBASE, CINAHL, and Cochrane Library and the reference lists of articles were searched. All articles were assessed in relation to inclusion and exclusion criteria, resulting in 29 researches being reviewed. Each review was critically appraised by two authors using a guideline of PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses). Results: Nowadays, interventions in organizational level, integrated and web-based interventions are increasing to prevent CVD risk factors for workers. Even though the importance of psychosocial aspects to prevent CVD, the only 2 studies included psychosocial factors in the outcome variables. Also, 14% among 29 researches were based on theories. Conclusion: Psychosocial factors such as job stress, depression, and emotional labor could be CVD risk factors. Therefore, interventions including psychosocial aspects are needed to prevent workers' CVD risks more effectively. Theory-based interventions are needed to support interventions' effects and to develop the nursing science.

• Korean Journal of Occupational Health Nursing
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• v.17 no.2
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• pp.230-238
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• 2008

Purpose: This study was to investigate the lifestyle characteristics and risk of cardiovascular disease (CVD) among workers with metabolic syndrome(MS). Methods: The descriptive cross-sectional survey design was used. A total of 187 workers with MS were recruited from a university hospital. The anthropometric measures were used and blood data were reviewed from the health record. Data were analyzed using descriptive statistics and multiple logistic regressions with SPSS/WIN 12.0. Results: While 52.2% of women did not do exercise regularly, 30.5% of men did not at all. The prevalence of MS according to each component was as follows: hypertension was 92.0%, obesity was 89.8%, hyperlipidemia was 63.1%, and hyperglycemia was 61.0%. The high prevalence of each component of MS in workers with MS indicated a significantly higher risk of CVD. The odds ratio of risk of CVD was 16.04 (p=.017) in workers with hypertension, when compared to workers without hypertension. Similarly, the odds ratio of risk of CVD was 11.04 (p=.000) in workers with hyperglycemia, compared to workers without hyperglycemia. Conclusion: Increased risk of CVD was significantly associated with lifestyle characteristics and MS risk factors among Korean workers with MS.

• Korean Journal of Adult Nursing
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• v.20 no.1
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• pp.33-43
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• 2008

Purpose: This study was to investigate the sex differences in risk of cardiovascular disease(CVD), depression and self-care activities in type 2 diabetes with metabolic syndrome. Methods: The descriptive correlational design was conducted using a convenient sample. One hundred and twenty-nine diabetic patients with metabolic syndrome were recruited in a university hospital. The data were analyzed using descriptive statistics, the Pearson correlation coefficient, Students' t-test, one way ANOVA, and stepwise multiple regression with SPSS/WIN 12.0. Results: The risk of CVD in diabetic patients with metabolic syndrome indicated a significantly negative correlation to self-care activities and age, and positive correlation to waist_C, SBP, DBP and TG. The metabolic syndrome is associated with an approximate 1.7-fold increase in the relative risk in CVD in diabetic women. The main significant predictors influencing CVD risk of diabetes with metabolic syndrome were age, waist_C, SBP and TG, which explained about 29.7%. Conclusion: These results indicate that patients with diabetes with metabolic syndrome with a high degree of waist_C, SBP and TG are likely to be high in risk of CVD.

• Journal of Korean Biological Nursing Science
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• v.25 no.1
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• pp.32-42
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• 2023

Purpose: This study aimed to investigate the association between obesity and high-sensitivity C-reactive protein (hs-CRP) levels in Korean adults without cardiovascular disease (CVD). Methods: The subjects were 3,634 adults, and data were extracted from the seventh Korea National Health and Nutrition Examination Survey (KNHANES VII-3). A complex sampling design analysis was applied to reflect the stratified and clustered weights. The data were analyzed using the complex sample Rao-Scott chi-square test and multiple logistic regression analysis (in SPSS for Windows version 26.0). Obesity, according to body mass index (BMI), was defined as obesity (BMI = 25-29.9 kg/m²), high obesity (BMI = 30-34.9 kg/m²), and super-high obesity (BMI ≥ 35 kg/m²), and abdominal obesity (AO) was defined as a waist circumference (WC) ≥ 90 cm in males and WC ≥ 85 cm in females. Results: The odds ratios for moderate CVD risk (hs-CRP; 1-3 mg/dL) were 2.21, 4.16, and 7.13 in the obesity, high obesity, and super-high obesity groups, respectively, compared to the normal BMI group. The odds ratio for moderate CVD risk was 2.18 in males with AO and 1.88 in females with AO. The odds ratios for high CVD risk (hs-CRP > 3 mg/L) were 4.40 and 17.55 in the high obesity and super-high obesity groups, respectively, compared to the normal BMI group. Conclusion: This study provides evidence that early detection and prevention programs for CVD should include obesity-related interventions aiming to modulate hs-CRP.

• Journal of Korean Academy of Nursing
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• v.38 no.1
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• pp.64-73
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• 2008

Purpose: This study examined the effects of a nutrition education program on self-efficacy, diet behavior pattern and cardiovascular risk factors for patients with cardiovascular disease (CVD). Method: Sixty-four CVD subjects (37 experimental, 27 control) were recruited from a cardiac center, at a university hospital located in D city, Korea. All subjects attended a first heart camp where pretest measures were performed, and a second heart camp at 6 months for the posttest measures. During the 6 month study period, the experimental group was required to attend five monthly nutrition education sessions, while the control group received only routine outpatient follow-ups. Data were analyzed by $x^2$-test and independent t-test using the SPSSWIN 11.5 program. Result: Group comparisons revealed that the experimental group had significantly more improved self-efficacy, frequency of food selection, gustation of salt, systolic blood pressure, and serum total-cholesterol compared to the control group. Conclusion: A nutrition education program may be effective in improving self-efficacy, diet behavior pattern and cardiovascular risk factors for patients with cardiovascular disease.

• Journal of Preventive Medicine and Public Health
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• v.46 no.6
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• pp.319-328
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• 2013

Objectives: This study estimated the association of cardiovascular health behaviors with the risk of all-cause and cardiovascular disease (CVD) mortality in middle-aged men in Korea. Methods: In total, 12 538 men aged 40 to 59 years were enrolled in 1993 and followed up through 2011. Cardiovascular health metrics defined the following lifestyle behaviors proposed by the American Heart Association: smoking, physical activity, body mass index, diet habit score, total cholesterol, blood pressure, and fasting blood glucose. The cardiovascular health metrics score was calculated as a single categorical variable, by assigning 1 point to each ideal healthy behavior. A Cox proportional hazards regression model was used to estimate the hazard ratio of cardiovascular health behavior. Population attributable risks (PARs) were calculated from the significant cardiovascular health metrics. Results: There were 1054 total and 171 CVD deaths over 230 690 person-years of follow-up. The prevalence of meeting all 7 cardiovascular health metrics was 0.67%. Current smoking, elevated blood pressure, and high fasting blood glucose were significantly associated with all-cause and CVD mortality. The adjusted PARs for the 3 significant metrics combined were 35.2% (95% confidence interval [CI], 21.7 to 47.4) and 52.8% (95% CI, 22.0 to 74.0) for all-cause and CVD mortality, respectively. The adjusted hazard ratios of the groups with a 6-7 vs. 0-2 cardiovascular health metrics score were 0.42 (95% CI, 0.31 to 0.59) for all-cause mortality and 0.10 (95% CI, 0.03 to 0.29) for CVD mortality. Conclusions: Among cardiovascular health behaviors, not smoking, normal blood pressure, and recommended fasting blood glucose levels were associated with reduced risks of all-cause and CVD mortality. Meeting a greater number of cardiovascular health metrics was associated with a lower risk of all-cause and CVD mortality.