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1.
Korean Journal of Family Practice ; (6): 192-199, 2020.
Article | WPRIM | ID: wpr-830167

ABSTRACT

Background@#Coffee is one of the most commonly consumed beverages in the world. There is evidence that the consumption of coffee has a strong influence on health outcomes. However, the relationship between coffee consumption and serum uric acid in the Korean population is unclear. In this study, we investigated the relationship between coffee consumption and serum uric acid levels in Korean adults. @*Methods@#This study included 2,966 adults aged ≥19 years who participated in the Korea National Health and Nutrition Examination Survey 2016. The participants were divided into four groups according to the amount of coffee consumed and serum uric acid level. Linear regression analysis was used to analyze the relationship between coffee consumption and serum uric acid level. @*Results@#Serum uric acid level increased with increasing coffee consumption (P<0.001). After adjusting for all confounding factors, serum uric acid level was higher in the groups that consumed coffee daily, at more than four teaspoons, than in the groups that did not consume coffee (P<0.001). @*Conclusion@#The findings of this study suggest that coffee consumption has a positive relationship with serum uric acid level.

2.
Korean Journal of Family Practice ; (6): 485-491, 2019.
Article in Korean | WPRIM | ID: wpr-787513

ABSTRACT

BACKGROUND: This study was performed to evaluate the correlation between sleep duration and the prevalence of dyslipidemia in Korean adults.METHODS: Among the 18,034 adults who participated in the 6th Korean National Health and Nutrition Examination Survey, 3,020 adults with missing values were excluded, and 15,014 adults were enrolled in our study. The association between sleep duration and the prevalence of dyslipidemia was analyzed by multiple logistic regression. We controlled for factors including sex, age, body mass index, smoking, drinking, diabetes mellitus, hypertension, walking exercise, muscular exercise, and stress.RESULTS: After adjusting for sex, age, body mass index, smoking, drinking, diabetes mellitus, hypertension, walking, muscular exercise, and stress in a multiple logistic regression analysis, sleep duration was associated with the prevalence of dyslipidemia. The group who slept for less than 7 hours per night had a higher prevalence of dyslipidemia than the group who slept for between 7 and 9 hours per night.CONCLUSION: In this study, a shorter sleep duration was associated with a higher prevalence of dyslipidemia.


Subject(s)
Adult , Humans , Body Mass Index , Diabetes Mellitus , Drinking , Dyslipidemias , Hypertension , Logistic Models , Nutrition Surveys , Prevalence , Smoke , Smoking , Walking
3.
Korean Journal of Family Practice ; (6): 89-95, 2019.
Article in Korean | WPRIM | ID: wpr-787426

ABSTRACT

BACKGROUND: Atherosclerotic cardiovascular disease (ASCVD) is known to be related to various factors. The aim of this study was to evaluate the association between the risk of ASCVD and sleep duration or carbohydrate intake using the Pooled Cohort Risk Assessment equations, which estimate a patient's 10-year primary risk.METHODS: A total of 7,781 adults were selected from the 6th Korean National Health and Nutrition Examination Survey, with no missing data as the inclusion criteria for analysis. The 10-year estimated risk of ASCVD risk was calculated using the Pooled Cohort Risk Assessment Equations. The χ² test was used to analyze the difference in the rates of ASCVD high-risk groups due to sleep duration and carbohydrate intake. Multiple logistic regression analysis was performed to verify the effects of sleep duration and carbohydrate intake on ASCVD risk.RESULTS: Shorter sleep duration (≤5 hours) was 1.166-times more likely in the ASCVD high-risk group than was optimal sleep duration (6–8 hours) (odds ratio [OR], 1.166; P < 0.05). Excessive sleep duration (≥9 hours) was also 1.504-times more likely in the ASCVD high-risk group than was optimal sleep duration (OR, 1.504; P < 0.001). Excessive carbohydrate intake (>65%) was 1.185-times more likely in the ASCVD high-risk group than was recommended carbohydrate intake (55%–65%) (OR, 1.185; P < 0.05).CONCLUSION: Inappropriate sleep duration and excessive carbohydrate intake increase the risk of ASCVD.


Subject(s)
Adult , Humans , Cardiovascular Diseases , Cohort Studies , Dietary Carbohydrates , Logistic Models , Nutrition Surveys , Retrospective Studies , Risk Assessment
4.
Korean Journal of Family Medicine ; : 219-226, 2014.
Article in English | WPRIM | ID: wpr-74436

ABSTRACT

BACKGROUND: The objective of this study was to investigate the relationship between smoking and metabolic syndrome in men. METHODS: This cross-sectional study included 1,852 men over age 40 who underwent health screening from April 2009 to December 2010. We classified them into three smoking levels as non-, intermediate-, and heavy-smoker, considering their smoking status (non, ex, current) and amount (0, 1-29, > or =30 pack year [PYR]). The relationship between smoking level and metabolic syndrome was analyzed by logistic regression analysis, after covariates (age, body mass index, education, house income, alcohol intake, and physical activity) were controlled. RESULTS: The proportions of non-, intermediate-, and heavy-smokers were 31.8%, 56.2%, and 12.0%, respectively. Odds ratios (ORs) and 95% confidence intervals (95% CIs) for metabolic syndrome were 1.0, 1.58 (1.09-2.23), 1.92 (1.29-2.81) in non-, intermediate-, and heavy-smokers, respectively. For heavy-smokers compared with non-smokers, ORs and 95% CIs of a lower high density lipoprotein cholesterol, higher triglyceride, and higher fasting glucose were 2.47 (1.63-3.74), 1.71 (1.17-2.52), and 1.43 (1.02-2.00), respectively. In current-smokers, we divided into three subgroups according to PYR, and compared with 1-19 PYR, ORs and 95% CIs of 20-29 PYR and > or =30 PYR for metabolic syndrome were 2.07 (1.14-3.74) and 3.06 (1.66-5.62), respectively. CONCLUSION: This study showed a positive dose-response relationship between smoking level and metabolic syndrome in men.


Subject(s)
Humans , Male , Body Mass Index , Cholesterol, HDL , Cross-Sectional Studies , Education , Fasting , Glucose , Logistic Models , Mass Screening , Metabolic Syndrome , Odds Ratio , Smoke , Smoking , Triglycerides
5.
Korean Journal of Family Medicine ; : 65-73, 2014.
Article in English | WPRIM | ID: wpr-89360

ABSTRACT

BACKGROUND: This study aimed to investigate the relationship between leisure time physical activities (LTPA) and metabolic syndrome (MS). METHODS: Five thousand seven hundred and thirty two adults 40 years old or older were enrolled in the study from April 2009 to December 2010. National Cholesterol Education Program's Adult Treatment Panel III was used for the criteria of MS, and Minnesota Leisure Time Physical Activity Questionnaire was used to measure LTPA. After adjusted covariates (age, hypertension, smoking, drinking, education level, household income level, work time physical activities, and menopause for females), the relationship between LTPA and MS was analyzed using logistic regression analysis. RESULTS: The prevalence of MS was 22.8% in men, and 14.1% in women. Average LTPA was 1,498 kcal/wk in men, and 1,308 kcal/wk in women. After adjustment for covariates, the odds ratios of middle and low LTPA compared with high LTPA were 1.06 (0.87-1.34), 1.54 (1.08-1.75), for women, this same association was not seen in men. The prevalence of MS was 22.8% in men and 14.1% in women, and their LTPA burned 1,498 and 1,308 kcal/wk, respectively. When the odds ratio of MS for the high LTPA group was set at 1.0, the odds ratio of MS was 1.06 (0.87-1.34) in the middle LTPA group and 1.54 (1.08-1.75) in the low LTPA group in women, which showed that the MS risk increased when the LTPA was lower. This same association was not seen in men. CONCLUSION: LTPA was independently associated with metabolic syndrome, but only for women.


Subject(s)
Adult , Female , Humans , Male , Burns , Cholesterol , Drinking , Education , Family Characteristics , Health Behavior , Hypertension , Leisure Activities , Logistic Models , Menopause , Minnesota , Motor Activity , Odds Ratio , Prevalence , Surveys and Questionnaires , Smoke , Smoking
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