1.The Relationship Between Serum Lipids and Depression.
Keum Ji JUNG ; Yejin MOK ; Hyoung Yoon CHANG ; Dongkoog SON ; Eun Jeong HAN ; Young Duk YUN ; Sun Ha JEE
Journal of Lipid and Atherosclerosis 2014;3(1):11-19
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
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Cholesterol
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Confounding Factors (Epidemiology)
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Depression*
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Diagnostic and Statistical Manual of Mental Disorders
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Epidemiology
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Female
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Humans
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Logistic Models
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Male
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Odds Ratio
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Prevalence
2.The J-curve between Diastolic Blood Pressure and Risk of All-cause and Cardiovascular Death
Heejin KIMM ; Yejin MOK ; Sun Ju LEE ; Sunmi LEE ; Joung Hwan BACK ; Sun Ha JEE
Korean Circulation Journal 2018;48(1):36-47
BACKGROUND AND OBJECTIVES: The J-curve phenomenon between diastolic blood pressure (DBP) and mortality has been reported repeatedly in treated patients. However, the baseline risk of low DBP has not been fully explored. This study was to examine the relationship between DBP and risk of mortality from all-cause, atherosclerotic vascular diseases (ASCVD), and ischemic heart disease (IHD) using a prospective cohort of general population. METHODS: We analyzed 1,234,435 participants of the Korean Cancer Prevention Study cohort (789,255 men, 30–95 years of age) who had a medical evaluation from 1992 to 1995 using Cox proportional hazards models. RESULTS: A total of 22.5 million person-years were followed up (mean age 46.6 years, deaths 193,903 cases). The hazard ratios of mortality from all-cause and ASCVD, among those with DBP < 60 mmHg compared to 70–79 mmHg were 1.23 (95% confidence interval [CI], 1.16–1.30) and 1.37 (95% CI, 1.20–1.57), respectively, after adjustment for multivariable including systolic blood pressure. Increased risks of all-cause death in the lowest DBP category group were maintained in men or women, 30–59 or ≥60 years of age, smoker or non-smoker and diabetes mellitus (DM) or non-DM subgroups. The risk in DBP 60–69 mmHg groups increased in several subgroups. However, the risk for ASCVD death in 30–59 years and DM group, and risk for IHD death in most subgroups except for elderly (≥60 years) decreased. CONCLUSION: A J-curve relationship between low DBP and all-cause death was found consistently. The baseline risk in the general population may be considered for risk assessment, particularly in case of interventions that lower DBP below 60 mmHg.
Aged
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Blood Pressure
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Cohort Studies
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Diabetes Mellitus
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Female
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Humans
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Hypertension
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Male
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Mortality
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Myocardial Ischemia
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Proportional Hazards Models
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Prospective Studies
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Risk Assessment
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Vascular Diseases
3.The J-curve between Diastolic Blood Pressure and Risk of All-cause and Cardiovascular Death
Heejin KIMM ; Yejin MOK ; Sun Ju LEE ; Sunmi LEE ; Joung Hwan BACK ; Sun Ha JEE
Korean Circulation Journal 2018;48(1):36-47
BACKGROUND AND OBJECTIVES:
The J-curve phenomenon between diastolic blood pressure (DBP) and mortality has been reported repeatedly in treated patients. However, the baseline risk of low DBP has not been fully explored. This study was to examine the relationship between DBP and risk of mortality from all-cause, atherosclerotic vascular diseases (ASCVD), and ischemic heart disease (IHD) using a prospective cohort of general population.
METHODS:
We analyzed 1,234,435 participants of the Korean Cancer Prevention Study cohort (789,255 men, 30–95 years of age) who had a medical evaluation from 1992 to 1995 using Cox proportional hazards models.
RESULTS:
A total of 22.5 million person-years were followed up (mean age 46.6 years, deaths 193,903 cases). The hazard ratios of mortality from all-cause and ASCVD, among those with DBP < 60 mmHg compared to 70–79 mmHg were 1.23 (95% confidence interval [CI], 1.16–1.30) and 1.37 (95% CI, 1.20–1.57), respectively, after adjustment for multivariable including systolic blood pressure. Increased risks of all-cause death in the lowest DBP category group were maintained in men or women, 30–59 or ≥60 years of age, smoker or non-smoker and diabetes mellitus (DM) or non-DM subgroups. The risk in DBP 60–69 mmHg groups increased in several subgroups. However, the risk for ASCVD death in 30–59 years and DM group, and risk for IHD death in most subgroups except for elderly (≥60 years) decreased.
CONCLUSION
A J-curve relationship between low DBP and all-cause death was found consistently. The baseline risk in the general population may be considered for risk assessment, particularly in case of interventions that lower DBP below 60 mmHg.
4.Serum Adiponectin and Type 2 Diabetes: A 6-Year Follow-Up Cohort Study.
Sun Ha JEE ; Chul Woo AHN ; Jong Suk PARK ; Chang Gyu PARK ; Hyon Suk KIM ; Sang Hak LEE ; Sungha PARK ; Myoungsook LEE ; Chang Beom LEE ; Hye Soon PARK ; Heejin KIMM ; Sung Hee CHOI ; Jidong SUNG ; Seungjoon OH ; Hyojee JOUNG ; Sung Rae KIM ; Ho Joong YOUN ; Sun Mi KIM ; Hong Soo LEE ; Yejin MOK ; Eunmi CHOI ; Young Duk YUN ; Soo Jin BAEK ; Jaeseong JO ; Kap Bum HUH
Diabetes & Metabolism Journal 2013;37(4):252-261
BACKGROUND: Studies on factors which may predict the risk of diabetes are scarce. This prospective cohort study was conducted to determine the association between adiponectin and type 2 diabetes among Korean men and women. METHODS: A total of 42,845 participants who visited one of seven health examination centers located in Seoul and Gyeonggi province, Republic of Korea between 2004 and 2008 were included in this study. The incidence rates of diabetes were determined through December 2011. To evaluate the effects of adiponectin on type 2 diabetes, the Cox proportional hazard model was used. RESULTS: Of the 40,005 participants, 959 developed type 2 diabetes during a 6-year follow-up. After the adjustment for age, body mass index (BMI), and waist circumference, the risks for type 2 diabetes in participants with normoglycemia had a 1.70-fold (95% confidence interval [CI], 1.21 to 2.38) increase in men and a 1.83-fold (95% CI, 1.17 to 2.86) increase in women with the lowest tertile of adiponectin when compared to the highest tertile of adiponectin. For participants with impaired fasting glucose (IFG), the risk for type 2 diabetes had a 1.46-fold (95% CI, 1.17 to 1.83) increase in men and a 2.52-fold (95% CI, 1.57 to 4.06) increase in women with the lowest tertile of adiponectin. Except for female participants with normoglycemia, all the risks remained significant after the adjustment for fasting glucose and other confounding variables. Surprisingly, BMI and waist circumference were not predictors of type 2 diabetes in men or women with IFG after adjustment for fasting glucose and other confounders. CONCLUSION: A strong association between adiponectin and diabetes was observed. The use of adiponectin as a predictor of type 2 diabetes is considered to be useful.
Adiponectin
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Body Mass Index
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Cohort Studies
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Confounding Factors (Epidemiology)
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Diabetes Mellitus
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Fasting
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Female
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Follow-Up Studies
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Glucose
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Humans
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Incidence
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Male
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Proportional Hazards Models
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Prospective Studies
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Republic of Korea
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Waist Circumference