It is reported that heavy drinking increases the risk of metabolic syndrome. But there have been few studies on the relationship between the intensity of drinking and metabolic syndrome when drinking the same amount of alcohol. This study aimed to assess the relationship between the frequency of binge drinking and metabolic syndrome in Korean adult men.
From the database of the 4th and 5th Korea National Health and Nutrition Examination Survey conducted in 2007-2010, data of 8,305 adult men (≥19 years of age) was included in this analysis. Cross-sectional relationship between the frequency of binge drinking and metabolic syndrome was investigated adjusting for pure alcohol consumed per day.
Adjusting for various confounders including pure alcohol consumed per day, the adjusted odds ratio for metabolic syndrome in those in higher frequency (more than 1/wk) binge drinking group was 1.62 (95% confidence interval, 1.30 to 2.03; P for trend = <0.001) compared to those in the non-binge drinking group. Through analysis of the relationship between pure alcohol consumed per day and metabolic syndrome, it was found that pure alcohol consumed per day had a positive relation to metabolic syndrome in the higher frequency binge drinking group (P for trend = 0.041). The relationship was inverse in the non-binge drinking group (P for trend = 0.002).
Our study found a positive relationship between frequency of binge drinking and metabolic syndrome in adult men. And the effect of drinking on metabolic syndrome may depend on the frequency of binge drinking. Further studies are required to confirm this association.
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Different regional fat depots have different effects on lipid and glucose metabolism. The purpose of this study is to examine the relationship between body fat distribution as measured by dual-energy X-ray absorptiometry (DEXA) and metabolic risk factors and to disclose whether there is any difference between groups with and without metabolic syndrome (MS).
A total of 292 participants (98 men, 194 women) over 19 years old underwent whole-body DEXA to evaluate body composition with respect to the whole body, leg, arm, and android regions. Anthropometry and blood tests for metabolic risks were measured.
One hundred and seven participants were diagnosed with MS. The MS group had significantly higher android fat (%) and had lower leg fat (%), arm fat (%), and appendicular (arms + legs) fat (%) than the non-MS group. Android fat (%) had a positive correlation with waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), glucose, log insulin, hemoglobin A1c (HbA1c), triglyceride (TG), and low density lipoprotein cholesterol, and had a negative correlation with high density lipoprotein (HDL) cholesterol. Appendicular fat (%) had a negative correlation with WC, SBP, DBP, glucose, log insulin, HbA1c, and TG, and had a positive correlation with HDL cholesterol. The association of appendicular fat with metabolic risk was consistently observed in non-MS, but the association was not observed except for SBP, glucose and log insulin in MS.
In contrast with the adverse effects of android fat, appendicular fat distribution was associated with decreased risks of MS. The protective effect of appendicular fat against metabolic risk factors in non-MS was less characteristic in MS.
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Nutrition labels provide various information on the nutrient contents of food. However, despite the recent increase in the interest in dietary intake and expansion of related policies, studies on the association between nutrition label reading and dietary intake are lacking in Korea.
This study analyzed the 2007-2009 KNHANES (Korean National Health and Nutrition Examination Survey) data. To examine macronutrients and micronutrients intake according to nutrition label reading, analysis of covariance was used. Multiple logistic regression analysis was also used to examine the association between adherence to dietary reference intake and nutrition label reading.
Nutrition label reading was significantly high among women, youth, and those with high education and high household income. Nutrition label reading was associated with higher intake of calcium and vitamin C in men and the lower intake of calorie, carbohydrates and higher energy ratio of protein in women. Additionally, male nutrition label readers were associated with adherence to dietary reference intake of fiber (odds ratio [OR], 2.00; 95% confidence interval [CI], 1.23 to 3.26) and calcium (OR, 1.26; 95% CI, 1.03 to 1.54). In women, there were no significant differences in the adherence to the dietary reference intake in fat, fiber, sodium, potassium, and calcium according to the nutrition label reading.
In men, nutrition label reading was associated with healthier intake of several micronutrients, although this was not observed in women. Consideration for clearly reporting vulnerable micronutrients in nutrition labels is necessary.
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Pro re nata (PRN) prescription is a frequently used prescription method in hospitals. This study was conducted to investigate actual condition of PRN prescription and whether administration error occurred because of perception difference between doctors and nurses.
From May to July 2012, a survey was conducted among 746 doctors and nurses (88 doctors and 658 nurses) working at 5 hospitals located in Seoul, Gyeong-gi, and Gangwon Province. Doctors generating PRN prescription responded to actual conditions of PRN prescription and both doctors and nurses reported whether administration error occurred due to perception difference.
Average number of PRN prescription of surgical residents was 4.6 ± 5.4, which was larger than that of medical residents (1.7 ± 1.0). Surgical residents more frequently recorded maximum number of daily intake (P = 0.034) and, although not statistically significant, more often wrote exact single dosage (P = 0.053) and maximum dosage per day (P = 0.333) than medical residents. Doctors expected nurses to notify them before the administration of medication; however, nurses were more likely to conduct PRN administration by their own decision without informing doctors. In addition, some doctors and nurses experienced administration errors because of it.
Standard prescription methods need to be established since there is a perception difference in PRN prescription between doctors and nurses and this could be related to administration errors.
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Childhood socioeconomic status (SES) is known to affect cardio-metabolic disease risk. However, the relationship between childhood SES and metabolic syndrome (MetS) remains uncertain. Therefore, we investigated the relationship between childhood SES, as measured by maternal education and occupational status and adult-onset MetS in the Korean population.
We examined the association between childhood SES, as measured by maternal education level and occupational status during an individual's childhood, and MetS in Korean adults aged 20 to 79 years who participated in the 2007-2009 Korean National Health Examination and Nutrition Survey. The components of MetS, including waist circumference, fasting glucose, lipid profiles, and blood pressure, were measured. Adjusted odds ratios (ORs) for MetS were calculated using multiple logistic regression models.
Significant differences in the association between maternal education level, occupational status, and MetS were found between males and females. In females, the adjusted MetS OR for the highest maternal education quartile relative to the lowest quartile was 0.46 (0.21-0.99). Similarly, in females, the adjusted OR for individuals whose mothers worked when they were children relative to those whose mothers did not work was 1.23 (1.04-1.44). In males, no significant associations between maternal education, maternal occupational status, and MetS were found.
We found independent, positive associations between maternal education and occupational status and MetS in Korean females. These findings suggest that public health education targeting MetS prevention should be considered, especially among children with less opportunity for maternal support.
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