The cardiovascular disease (CVD) risk prediction model has been developed based on information on CVD-free subjects, including age, hypertension, diabetes, cholesterol, and smoking status. A methodological review on whether the CVD risk prediction model is appropriate for diabetes patients is necessary. In general, the prediction model consists of three components-relative risk (RR), mean of risk factors, and survival rate. The prediction model would be useable if no differences in those components are found between the general population and diabetes patients. However, in our results, differences were found in the mean of risk factors and survival rate of CVD between the general population and diabetes patients, while no difference was found in RR. In other words, diabetes patients had a significantly increased mean of risk factors and decreased survival rates for CVD. Since the existing CVD risk prediction model for the general population is not applicable to diabetes patients, it is critical to develop a new model for them.
Cardiovascular Diseases* ; Cholesterol ; Diabetes Mellitus ; Forecasting ; Humans ; Hypertension ; Risk Factors ; Smoke ; Smoking ; Survival Rate

Cardiovascular disease (CVD) is considered a primary driver of global mortality and is estimated to be responsible for approximately 17.9 million deaths annually. Consequently, a substantial body of research related to CVD has developed, with an emphasis on identifying strategies for the prevention and effective treatment of CVD. In this review, we critically examine the existing CVD literature, and specifically highlight the contribution of Mendelian randomization analyses in CVD research. Throughout this review, we assess the extent to which research findings agree across a range of studies of differing design within a triangulation framework. If differing study designs are subject to non-overlapping sources of bias, consistent findings limit the extent to which results are merely an artefact of study design. Consequently, broad agreement across differing studies can be viewed as providing more robust causal evidence in contrast to limiting the scope of the review to a single specific study design. Utilising the triangulation approach, we highlight emerging patterns in research findings, and explore the potential of identified risk factors as targets for precision medicine and novel interventions.
Artifacts ; Bias (Epidemiology) ; Cardiovascular Diseases ; Mendelian Randomization Analysis ; Mortality ; Precision Medicine ; Random Allocation ; Risk Factors

Cardiovascular disease (CVD) is considered a primary driver of global mortality and is estimated to be responsible for approximately 17.9 million deaths annually. Consequently, a substantial body of research related to CVD has developed, with an emphasis on identifying strategies for the prevention and effective treatment of CVD. In this review, we critically examine the existing CVD literature, and specifically highlight the contribution of Mendelian randomization analyses in CVD research. Throughout this review, we assess the extent to which research findings agree across a range of studies of differing design within a triangulation framework. If differing study designs are subject to non-overlapping sources of bias, consistent findings limit the extent to which results are merely an artefact of study design. Consequently, broad agreement across differing studies can be viewed as providing more robust causal evidence in contrast to limiting the scope of the review to a single specific study design. Utilising the triangulation approach, we highlight emerging patterns in research findings, and explore the potential of identified risk factors as targets for precision medicine and novel interventions.

OBJECTIVES: Numerous studies have demonstrated that fasting serum glucose (FSG) levels and certain single-nucleotide polymorphisms (SNPs) are related to an increased risk of colorectal cancer (CRC); however, their combined effects are still unclear. METHODS: Of a total of 144,527 men and women free of cancer at baseline, 317 developed CRC during 5.3 years of follow-up. A case-cohort study (n=1,691) was used, consisting of participants with a DNA sample available. Three well-known SNPs (rs3802842, rs6983267, rs10795668) were genotyped. Hazard ratios (HR) and 95% confidence intervals (CI) of CRC, colon and rectal cancer were calculated, with the Cox proportional hazard models. RESULTS: The crude incidence rates per 100,000 person-years were 41.1 overall, 48.4 for men, and 29.3 for women. Among participants with dysglycemia, SNPs rs3802842 and rs6983267 were both associated with an increased risk of CRC (HR, 3.2; 95% CI, 1.9 to 5.5 and HR, 1.8; 95% CI, 1.1 to 3.1, respectively) and rectal cancer (HR, 3.4; 95% CI, 1.8 to 6.6 and HR, 3.3; 95% CI, 1.6 to 7.1, respectively). The interaction effect of dysglycemia and SNPs was positive, that is, resulted in an elevated risk of CRC, but was not statistically significant. CONCLUSIONS: This study demonstrates that both high FSG and certain SNPs are major risk factors for CRC and rectal cancer but that they did not interact synergistically. The difference in effect size of the SNPs according to CRC subtype (i.e., colon or rectal cancer) and presence of dysglycemia merits further research.
Blood Glucose ; Colon ; Colorectal Neoplasms* ; DNA ; Fasting* ; Female ; Follow-Up Studies ; Glucose* ; Humans ; Incidence ; Male ; Polymorphism, Single Nucleotide ; Proportional Hazards Models ; Rectal Neoplasms ; Risk Factors

Background: Metabolic syndrome has been known as a risk of cardiovascular disease. Meanwhile, high sensitivity C-reactive protein (hs-CRP) is used as a predictor of cardiovascular disease. In this paper, we aimed to investigate the association between hs-CRP and metabolic syndrome.Method: A total of 7,633 were chosen as the study population from the 7th Korea National Health and Nutrition Examination Survey dataset (2016–2017). Our dependent variable was whether an individual had metabolic syndrome or not, and the independent variable of interest was hs-CRP which was categorized into three groups. The chi-square tests and hierarchical logistic regression analyses reflecting survey characteristics were conducted. All analyses were stratified by gender. Results: According to the adjusted model with all covariates, compared to individuals having the low risk of hs-CRP, those having its average risk were more likely to have metabolic syndrome in men (odds ratio [OR], 1.41; 95% confidence interval [CI], 1.12–1.76) and women (OR, 1.69; 95% CI, 1.33–2.16). Individuals having the high risk was not significantly different in men; however, they were more likely to have metabolic syndrome in women (OR, 2.03; 95% CI, 1.28–3.23). Conclusion In an upcoming aging society, it is important to reduce the risk of metabolic syndrome to improve population health. This study suggests that hs-CRP may be used as a marker of the risk of metabolic syndrome in a gender-specific way, thereby contributing to enhancing awareness of the risk of metabolic syndrome among the general public.

OBJECTIVES: The purpose of this study was to determine the causal relationship between the genetically determined amount of alcohol consumption and the occurrence of major cancers. METHODS: The data used in this study were from 129,324 people selected from the Korean Cancer Prevention Study-II, the participants of which visited 18 health examination centers between 2004 and 2013. Cancer incidence was confirmed as of 2020 using data from the National Cancer Center. A genome-wide association study (GWAS) on alcohol consumption was performed using PLINK 2.0, and sex, age, chip type, and principal components were adjusted. RESULTS: From the GWAS, a genetic risk score for alcohol consumption was calculated and genetically determined alcohol consumption (GDAC) was estimated. GDAC was divided into quintile groups and showed significant causal relationships with rectal cancer and liver cancer, but not with other cancers. For liver cancer, an association was shown in the hepatitis B surface antigen (HBsAg)-negative group, and a particularly strong association was found in the over-60-year-old HBsAg-negative group, in which, compared to the GDAC Q1 group, the Q4 group had a 2.35 times higher risk (95% confidence interval [CI], 1.05 to 5.23), and the Q5 group had a 2.40 times higher risk (95% CI, 1.09 to 5.30). CONCLUSIONS The results of this study provided evidence that the amount of alcohol consumed is causally related to the occurrence of rectal cancer and liver cancer in HBsAg-negative individuals. Additional studies should be continued for other cancer types through long-term follow-up.

OBJECTIVE: Low cholesterol is associated with depression among western countries. The objective of this study was to examine the relationship between cholesterol and depression in Korean population with low levels of serum cholesterol. METHODS: The data of about 740,000 individuals, aged 30-64 years at entry in the Korean Cancer Prevention Study, were used. Total cholesterol levels were measured in 1992. Depression was measured using the modified DSM-IV (Diagnostic Criteria of Major Depressive Episode in Diagnostic and Statistical Manual of Mental Disorders-IV) scale. Total cholesterol was classified into four groups (quartile). Odds Ratios of low level of cholesterol were evaluated using multi-variable logistic models. RESULTS: The prevalence of major depression was 7.7% in men and 10.4% in women. After adjustment for various confounding variables, an inverse association was detected between cholesterol levels and depression intensity among men and women. The odds ratio (95% confidence interval) of the lowest quartile of cholesterol was 1.16 (1.13-1.20) on major depression compared with the highest quartile of cholesterol in men. The corresponding odds ratio among women was 1.09 (1.04-1.15). The strongest association among 9 items of depression was found at "decreased appetite and lost weight" in both men (OR=1.68) and women (OR=1.43). CONCLUSION: Low cholesterol is associated with major depression in men and women. Further studies are necessary to evaluate the cross-validation, to explore the biological mechanism, and to identify the clinical implication.
Appetite ; Cholesterol ; Confounding Factors (Epidemiology) ; Depression* ; Diagnostic and Statistical Manual of Mental Disorders ; Epidemiology ; Female ; Humans ; Logistic Models ; Male ; Odds Ratio ; Prevalence

OBJECTIVE: We performed a study of the relationship between thigh circumference and serum lipids. METHODS: A total of 314,842 Korean men and women aged 30 to 79 enrolled in the Korea Medical Institute for medical examination between February 2010 and December 2011 were included. Multiple logistic regression analysis was performed to examine the association of thigh circumference with various lipid profiles after adjustment for age, body mass index (BMI), waist circumference, smoking, and exercise. RESULTS: The average age of study participants was 42.3 years (42.6 years in men and 41.9 years in women). The mean thigh circumference was 53.2 cm (54.3 cm in men and 51.5 cm in women). Thigh circumference was positively correlated with BMI and waist circumference in both men and women. Before adjusting for BMI and waist circumference, thigh circumference was also positively correlated with total cholesterol, triglyceride, high-density lipoprotein (HDL) cholesterol, non-HDL cholesterol, and triglyceride / HDL cholesterol ratio. However, after adjusting for those two variables, the positive correlations became almost disappeared and showed opposite direction indicating that BMI and waist circumference were qualitative confounding variables. CONCLUSIONS: A small thigh circumference was associated with increasing levels of lipid profiles including triglyceride and decreasing level of HDL cholesterol. Through additional researches, establishment of causality is necessary.
Aged ; Body Mass Index ; Cholesterol ; Cholesterol, HDL ; Female ; Humans ; Korea ; Lipoproteins ; Logistic Models ; Male ; Smoke ; Smoking ; Thigh ; Waist Circumference

PURPOSE: The 2018 PyeongChang Winter Olympic Games involved 2925 elite athletes, and providing proper health care services for these elite athletes was a critical priority. We established an emergency department (ED) in the Pyeongchang Mountain Polyclinic during the Olympics, which served staff and athletes from many countries. This experience, as well as a description of illnesses and injuries encountered during the games, may provide useful information for planning medical care at similar events in the future. MATERIALS AND METHODS: The polyclinic ED operated from January 25 to February 27, 2018. All cases were enrolled in this study, and their data were analyzed by date and category. In addition, the number of injuries by body part, number of illnesses by organ system, and illness symptoms and causes were analyzed. RESULTS: In total, 288 patients were encountered in the ED. These included 113 injuries and 175 illnesses. We consulted with 153 staff members and 75 athletes, and reported that the fingers were the most commonly injured body part, followed by the knee. The respiratory system was the most commonly involved organ system, and the most common cause of illness was infection. Thirty-eight influenza tests were performed, among which the results of seven were positive. We performed 17 norovirus tests, among which the results of four were positive. CONCLUSION: Our analysis of our ED experience will aid arrangements for medical services in future Winter Games. Additionally, given our new experience, we will now be able to provide better medical services for future winter sports events.
Athletes ; Delivery of Health Care ; Emergencies ; Emergency Service, Hospital ; Fingers ; Humans ; Influenza, Human ; Knee ; Norovirus ; Respiratory System ; Sports

BACKGROUND AND OBJECTIVES: Whether using both traditional risk factors and genetic variants for stroke as opposed to using either of the 2 alone improves the prediction of stroke risk remains unclear. The purpose of this study was to compare the predictability of stroke risk between models using traditional risk score (TRS) and genetic risk score (GRS). METHODS: We used a case-cohort study from the Korean Cancer Prevention Study-II (KCPS-II) Biobank (n=156,701). We genotyped 72 single nucleotide polymorphisms (SNPs) identified in genome-wide association study (GWAS) on the KCPS-II sub-cohort members and stroke cases. We calculated GRS by summing the number of risk alleles. Prediction models with or without GRS were evaluated in terms of the area under the receiver operating characteristic curve (AUROC). RESULTS: Sixteen out of 72 SNPs identified in GWAS showed significant associations with stroke, with an odds ratio greater than 2.0. For participants aged < 40 years, AUROCs for incident stroke were 0.58, 0.65, and 0.67 in models using modifiable TRS only, GRS only, and TRS plus GRS, respectively, showing that GRS only model had better prediction than TRS only. For participants aged ≥40 years, however, TRS only model had better prediction than GRS only model. Favorable levels of traditional risk were associated with significantly lower stroke risks within each genetic risk category. CONCLUSIONS: TRS and GRS were both independently associated with stroke risk. Using genetic variants in addition to traditional risk factors may be the most accurate way of predicting stroke risk, particularly in relatively younger individuals.
Alleles ; Epidemiologic Methods ; Genetics ; Genome-Wide Association Study ; Korea ; Odds Ratio ; Polymorphism, Single Nucleotide ; Risk Factors ; ROC Curve ; Stroke