1.Coffee and metabolic syndrome: A systematic review and meta-analysis.
Yujin LEE ; Jakyung SON ; Jiyoung JANG ; Kyong PARK
Journal of Nutrition and Health 2016;49(4):213-222
PURPOSE: Coffee is the most frequently consumed food item in South Korea after rice and cabbage. Coffee contains various substances, including caffeine, cafestol, kahweol, chlorogenic acid, and many other known and unknown ingredients with some health benefits. Especially, cumulative evidence has shown that regular coffee use is associated with lower risk of type 2 diabetes, although limited and inconsistent data are available regarding metabolic syndrome. METHODS: This study reviewed all available scientific and epidemiologic evidence on coffee consumption, metabolic syndrome, and the association between them. Most epidemiologic research regarding this association was of a cross-sectional design, and a few case-control and cohort studies were available. We conducted meta-analysis with 11 observational studies investigated in Europe, America, and Asia. Summary odds ratios (OR) were calculated using a random-effects model. RESULTS: The overall OR of metabolic syndrome was 0.90 (95% Confidence Interval (CI), 0.81-0.99) for the highest category of coffee intake compared with the lowest intake category. These associations were stronger in populations of US and Europe (OR 0.84, 95% CI 0.76-0.94), whereas no association was observed in the Asian population (OR 1.00, 95% CI 0.81-1.23). CONCLUSION: The review results indicate that frequent coffee consumption may be beneficial to metabolic syndrome, but the association between coffee consumption and metabolic syndrome may differ by nations or continents.
Americas
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Asia
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Asian Continental Ancestry Group
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Brassica
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Caffeine
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Case-Control Studies
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Chlorogenic Acid
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Coffee*
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Cohort Studies
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Europe
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Humans
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Insurance Benefits
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Korea
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Odds Ratio
2.Independent correlates of the toenail chromium level and the association between the chromium level and dyslipidemia
Yeji KANG ; Yujin LEE ; Jakyung SON ; Kyong PARK
Journal of Nutrition and Health 2018;51(1):40-49
PURPOSE: The number of patients with dyslipidemia have been increasing steadily over the past few decades in South Korea. The association between the chromium level and chronic disease has attracted considerable interest, but few studies have been conducted on the Korean population. The aim of this study was to identify the dietary and non-dietary correlates of the toenail chromium level, and evaluate the association between the toenail chromium level and dyslipidemia. METHODS: The baseline data of an ongoing prospective cohort study in Yeungnam area in South Korea were analyzed. A total of 500 participants aged 35 years or older who completed questionnaires on their demographics, lifestyle characteristics, and medical information were included. The toenail chromium level was analyzed by neutron activation analysis. The dietary intake was assessed using a validated 146-item semi-quantitative food frequency questionnaire. The blood lipid profiles were obtained from medical examinations conducted by the Korean National Health Insurance Service or medical institutions. RESULTS: Higher chromium levels were associated with the residential area (urban), higher education level, higher intakes of noodles and vegetables, and lower intake of fruits. Multiple logistic regression analysis showed that the toenail chromium levels were not associated significantly with the prevalence of dyslipidemia (odds ratio: 0.99, 95% confidence interval: 0.61 ~ 1.60). CONCLUSION: This study is the first study in Korea to determine the independent correlates of the toenail chromium levels and the association between chromium exposure and dyslipidemia. These findings provide useful scientific evidence for the development of chromium intake guidelines for the Korean population.
Chromium
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Chronic Disease
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Cohort Studies
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Demography
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Dyslipidemias
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Education
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Fruit
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Humans
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Korea
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Life Style
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Logistic Models
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Nails
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National Health Programs
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Neutron Activation Analysis
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Prevalence
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Prospective Studies
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Vegetables
3.Clinical Features and Risk Factors of Adrenal Insufficiency in Patients With Cancer Admitted to the HospitalistManaged Medical Unit
Min Kwan KWON ; Junhwan KIM ; Jonghwa AHN ; Chang-Yun WOO ; Hyeonjeong KIM ; Hye-Seon OH ; Mingee LEE ; Seungha HWANG ; Keun Hoi PARK ; Young Hak LEE ; Jakyung YU ; Sujeung KANG ; Hyo-Ju SON
Journal of Korean Medical Science 2022;37(28):e222-
Background:
The symptoms of adrenal insufficiency (AI) overlap with the common effects of advanced cancer and chemotherapy. Considering that AI may negatively affect the overall prognosis of cancer patients if not diagnosed in a timely manner, we analyzed the incidence, risk factors, and predictive methods of AI in cancer patients.
Methods:
We retrospectively analyzed the medical records of 184 adult patients with malignancy who underwent a rapid adrenocorticotrophic hormone stimulation test in the medical hospitalist units of a tertiary hospital. Their baseline characteristics and clinical features were evaluated, and the risk factors for AI were identified using logistic regression analysis.
Results:
Of the study patients, 65 (35%) were diagnosed with AI, in whom general weakness (63%) was the most common symptom. Multivariate logistic regression showed that eosinophilia (adjusted odds ratio [aOR], 4.28; 95% confidence interval [CI], 1.10–16.63; P = 0.036), history of steroid use (aOR, 2.37; 95% CI, 1.10–5.15; P = 0.028), and history of megestrol acetate use (aOR, 2.71; 95% CI, 1.38–5.33; P = 0.004) were associated with AI. Baseline cortisol levels of 6.2 μg/dL and 12.85 μg/dL showed a specificity of 95.0% and 95.4% for AI diagnosis, respectively.
Conclusion
AI was found in about one-third of patients with cancer who showed general symptoms that may be easily masked by cancer or chemotherapy, suggesting that clinical suspicion of AI is important while treating cancer patients. History of corticosteroids or megestrol acetate were risk factors for AI and eosinophilia was a pre-test predictor of AI.Baseline cortisol level appears to be a useful adjunct marker for AI.