Benign prostatic hyperplasia (BPH )is one the most common prostate diseases in middle aged and elderly men. This study was conducted to investigate diet and lifestyle risk factors for benign prostatic hyperplasia in a community-dwelling free-living population group. The dietary data were collected from the 601 male subjects aged 50 -79 years using the 24-hour recall method. The mean age of the BPH group (63.0 +/- 7.9 years )was significantly higher than that of the non-BPH (58.8 +/-7.4 years ). Among many nutrients, the amount of animal fat intake was increased while that of carbohydrate intake decreased in subjects with BPH compared to those with non-BPH. In BPH subjects, the proportion of energy from fat was also greater than in subjects with non-BPH. The logistic regression analysis on the food con-sumption data showed that the consumption of total animal food was increased while that of mushrooms was decreased in patients with BPH compared to the subjects with non-BPH. The age-adjusted odds ratios and 95% confidences limits for BPH incidence in subjects whose milk and milk products, beverages and alcoholic liquors intake was greater than the median were 1.796 (1.167 -2.782 )and 1.738 (1.129 -2.676 )respectively, compared to those in subjects whose intakes were below the median. These results may be applicable in the development of a nutrition intervention and education program toward a reduction in the risk for benign prostatic hyperplasia.
Agaricales ; Aged ; Alcoholics ; Animals ; Beverages ; Diet* ; Education ; Humans ; Incidence ; Life Style* ; Logistic Models ; Male ; Middle Aged ; Milk ; Odds Ratio ; Population Groups ; Prostate ; Prostatic Hyperplasia* ; Risk Factors*

OBJECTIVES: We conducted a comorbidity network analysis using data from the seventh Korea National Health and Nutrition Examination Survey to systematically quantify obesity-related comorbidities. METHODS: The study included 11,712 subjects aged 45 to 80 (5,075 male and 6,637 female). A prevalent disease was defined as a specific disease for which a subject had been diagnosed by a doctor and was being treated. Comorbidity network analysis was performed for diseases with a prevalence of 1% or more, including overweight and obesity. We estimated the observed-to-expected ratio of all possible disease pairs with comorbidity strength and visualized the network of obesity-related comorbidities. RESULTS: In subjects over 45 years old, 37.3% of people had a body mass index over 25.0 kg/m2. The most common prevalent disease was hypertension (42.3%), followed by dyslipidemia (17.4%) and diabetes (17.0%). Overweight and obese subjects were 2.1 times (95% confidence interval, 1.9 to 2.3) more likely to have a comorbidity (i.e., 2 or more diseases) than normal-weight subjects. Metabolic diseases such as hypertension, dyslipidemia, diabetes, and osteoarthritis were directly associated with overweight and obesity. The probability of coexistence for each of those 4 diseases was 1.3 times higher than expected. In addition, hypertension and dyslipidemia frequently coexisted in overweight and obese female along with other diseases. In obese male, dyslipidemia and diabetes were the major diseases in the comorbidity network. CONCLUSIONS Our results provide evidence justifying the management of metabolic components in obese individuals. In addition, our results will help prioritize interventions for comorbidity reduction as a public health goal.

OBJECTIVES: We conducted a comorbidity network analysis using data from the seventh Korea National Health and Nutrition Examination Survey to systematically quantify obesity-related comorbidities. METHODS: The study included 11,712 subjects aged 45 to 80 (5,075 male and 6,637 female). A prevalent disease was defined as a specific disease for which a subject had been diagnosed by a doctor and was being treated. Comorbidity network analysis was performed for diseases with a prevalence of 1% or more, including overweight and obesity. We estimated the observed-to-expected ratio of all possible disease pairs with comorbidity strength and visualized the network of obesity-related comorbidities. RESULTS: In subjects over 45 years old, 37.3% of people had a body mass index over 25.0 kg/m2. The most common prevalent disease was hypertension (42.3%), followed by dyslipidemia (17.4%) and diabetes (17.0%). Overweight and obese subjects were 2.1 times (95% confidence interval, 1.9 to 2.3) more likely to have a comorbidity (i.e., 2 or more diseases) than normal-weight subjects. Metabolic diseases such as hypertension, dyslipidemia, diabetes, and osteoarthritis were directly associated with overweight and obesity. The probability of coexistence for each of those 4 diseases was 1.3 times higher than expected. In addition, hypertension and dyslipidemia frequently coexisted in overweight and obese female along with other diseases. In obese male, dyslipidemia and diabetes were the major diseases in the comorbidity network. CONCLUSIONS Our results provide evidence justifying the management of metabolic components in obese individuals. In addition, our results will help prioritize interventions for comorbidity reduction as a public health goal.

Objectives: This study investigated the association between exacerbated economic hardship during the coronavirus disease 2019 (COVID-19) pandemic and changes in the health behaviors of Korean adolescents. Methods: We analyzed data from the 2021 Korea Youth Risk Behavior Survey and included 44 908 students (22 823 boys and 22 085 girls) as study subjects. The dependent variables included changes in health behaviors (breakfast habits, physical activity, and alcohol use) that occurred during the COVID-19 pandemic. The aggravation of economic hardship by COVID-19 and the subjective economic status of the family were used as exposure variables. Multiple logistic regression analysis was utilized to calculate the prevalence odds ratios (PORs). Results: Severe exacerbation of a family’s economic hardship due to COVID-19 was negatively associated with the health behaviors of adolescents, including increased breakfast skipping (POR, 1.85; 95% confidence interval [CI], 1.55 to 2.21 for boys and POR, 1.56; 95% CI, 1.27 to 1.92 for girls) and decreased physical activity (POR, 1.37; 95% CI, 1.19 to 1.57 for boys and POR, 1.38; 95% CI, 1.19 to 1.60 for girls). These negative changes in health behaviors were further amplified when combined with a low subjective family economic status. Conclusions The experience of worsening household hardship can lead to negative changes in health behavior among adolescents. It is crucial to implement measures that address the economic challenges that arise from stressful events such as COVID-19 and to strive to improve the lifestyles of adolescents under such circumstances.

PURPOSE: We conducted objective structured clinical examinations (OSCEs) in medical students both before entering clinical clerkship and after finishing clinical clerkship for the purpose of evaluating the usefulness of OSCEs before clinical clerkship. METHODS: The subjects of the study comprised 77 3rd-year medical students who participated in a 2-week course of physical diagnosis before clinical clerkship, and 98 4th-year medical students who had completed their clinical clerkship. The OSCE consisted of 17 cases and 17 stations for the 3rd-year medical students, and 20 cases and 28 stations for the 4th-year students. We assigned 4 minutes and 30 seconds to each station. OSCE stations were duplicated at two sites and were performed twice. After the OSCE, we used structured questionnaires to survey the subjects for their opinions of the current process and the need for an OSCE. RESULTS: At the psychiatric station, which applied an identical scenario and checklists to both the 3rd- and 4th-year medical students, the mean score of the 3rd-year medical students was significantly lower than that of the 4th-year students. The correlation coefficient between OSCE score and cumulative performance grade of 3rd-year medical students (r=0.29) also was lower than that of 4th-year medical students (r=0.53). Over 80% of the 3rd-year medical students and over 90% of the 4th-year responded that an OSCE is necessary. However, around 70% of students preferred an OSCE for each clinical class during clinical clerkship, and only 33~38% of students preferred an OSCE as a final examination. Almost all students wanted to receive feedback after an OSCE. CONCLUSIONS: Performing an OSCE on 3rd-year medical students before they enter clinical clerkship provides better preparation for the clinical clerkship than an evaluation alone. We suggest that an OSCE should be used as a formative assessment in addition to a summative evaluation such as a final examination.
Checklist ; Clinical Clerkship* ; Diagnosis ; Humans ; Students, Medical* ; Surveys and Questionnaires

Injury is a major public health concern because it is a major cause of death and may cause lifelong disabilities. New environmental risk factors, such as extreme climates, are now emerging, and the vulnerable elderly population is rapidly growing. Therefore, understanding the epidemiological characteristics and trends of injury is necessary to establish preventive policies and actions.Current Concepts: Injury accounts for 13.3% of the disease burden in Korea, which is higher than the global proportion (9.8%). In addition, in 2019, the life years lost due to injury in Korea was 973,030, which is also higher than in the other 37 countries of the Organisation for Economic Co-operation and Development (OECD). Mortality due to injury has shown a downward trend, while mortality due to falls has shown an upward trend since 2010. Mortality due to injury in Korea is higher than the OECD average, and mortality due to intentional self-harm was the highest. Intentional self-harm accounts for 50.8% of deaths due to injury. In hospitalization due to injury, falls account for the largest proportion (38.5%) and frequently occur in older adults.Discussion and Conclusion: Although the mortality rate of injury is decreasing, the magnitude of injury in Korea is still higher than the OECD average. We hope these findings are used as basic data to find a targeted approach for injury prevention.

A system for assessing the burdens imposed by disease and injury was developed to meet healthcare, priority setting, and policy planning needs. The first such system, the Global Burden of Disease (GBD), was implemented in 1990. However, problems associated with limited data and assumed disability weightings remain to be resolved. The purpose of the present study was to estimate national burdens of injuries in Korea using more reliable data and disability weightings. The incidences of injuries were estimated using the Korean National Hospital Discharge Survey and the mortality data from the Korean National Statistical Office in 2010. Additionally, durations of injuries and age at injury onset were used to calculate disability-adjusted life years (DALY) using disability weightings derived from the Korean Burden of Disease (KBD) study. Korea had 1,581,072 DALYs resulting from injuries (3,170 per 100,000), which was 22.9% higher than found by the GBD 2010 study. Males had almost twice as heavy an injury burden as females. Road injury, fall, and self-harm ranked 1st, 2nd, and 3rd in terms of burden of injury in 2010. Total injury burden peaked in the forties, while burden per person declined gradually from early adulthood. We hope that this study contributes to the reliable evaluation of injury burden and a better understanding of injury-related health status using nation-specific, dependable data.
Death Certificates* ; Delivery of Health Care ; Female ; Health Care Surveys ; Hope ; Humans ; Incidence ; Korea ; Male ; Mortality

The purpose of this study was to estimate the national burden of mental substance disorders on medical care utilization in Korea using National Health Insurance System (NHIS) data and updated disability weight, in terms of disability-adjusted life years (DALYs). For each of the 24 disorders, the incident years lived with disability (YLDs) was calculated, using NHIS data to estimate prevalence and incidence rates. The DisMod-II software program was used to model duration and remission. The years of life lost (YLLs) due to premature death were calculated from causes of death statistics. DALYs were computed as the sum of YLDs and YLLs, and time discounting and age weighting were applied. The year examined was 2012, and the subjects were divided into 9 groups according to age. In 2012, the Korean burden of mental and substance use disorders was 945,391 DALYs. More than 98% of DALYs were from YLDs, and the burden in females was greater than that in males, though the burden in males aged less than 19 years old was greater than that in females. Unipolar depressive disorders, schizophrenia, and anxiety disorders were found to be major diseases that accounted for more than 70% of the burden, and most DALYs occurred in their 30–59. Mental and substance use disorders accounted for 6.2% of the total burden of disease and were found to be the 7th greatest burden of disease. Therefore, mental and substance use disorders need to be embraced by mainstream health care with resources commensurate with the burden.
Anxiety Disorders ; Cause of Death ; Delivery of Health Care ; Depressive Disorder ; Female ; Humans ; Incidence ; Korea ; Male ; Mortality, Premature ; National Health Programs ; Prevalence ; Schizophrenia ; Substance-Related Disorders*

PURPOSE: To assess the relationship between lifestyle and metabolic syndrome in obese children and adolescents. METHODS: We retrospectively reviewed the medical records and laboratory results of 109 subjects (7~15 years of age) who visited our pediatric obesity clinic between January 2004 and December 2007. They completed the parent- and self-report questionnaire developed by the Committee on Nutrition of the Korean Pediatric Society to assess lifestyle. The metabolic syndrome was defined as having 3 or more of the following metabolic risk factors: obesity, hypertension, serum triglycerides > or =110 mg/dL, HDL-cholesterol < or =40 mg/dL, fasting glucose > or =110 mg/dL, and insulin > or =20 micronIU/mL. RESULTS: All subjects had at least 1 risk factor (obesity). Sixty-three percent of subjects had 2 or more risk factors, 32% of subjects had 3 or more risk factors, and 10% had 4 or more metabolic risk factors. Hypertriglyceridemia (36%), hypertension (32%), hyperinsulinemia (24%), and HDL-hypocholesterolemia (20%) were observed. Fasting blood glucose levels were normal in all subjects. Hypertension was significantly associated with an unbalanced diet and hyperinsulinemia was significantly associated with parental obesity (p<0.05). Those who ate after 8 PM were at a risk of hypertension (odds ratio, 2.5; 95% CI, 1.0~6.1). Those who did not have a preference for exercise were at a risk of hyperinsulinemia (odds ratio, 10.4; 95% CI, 2~54.1). Those who watched TV for > or =3 hours/day were at a risk of metabolic syndrome (odds ratio, 4.8; 95% CI, 1.2~18.8). CONCLUSION: Lifestyle, such as eating late, no preference for exercise, and TV watching > or =3 hours/day, were related to metabolic syndrome in obese children and adolescents.
Adolescent ; Blood Glucose ; Child ; Diet ; Eating ; Fasting ; Glucose ; Humans ; Hyperinsulinism ; Hypertension ; Hypertriglyceridemia ; Insulin ; Life Style ; Medical Records ; Obesity ; Parents ; Surveys and Questionnaires ; Retrospective Studies ; Risk Factors ; Triglycerides

Studies conducted to evaluate temporal trends of heat-related mortality have not considered the effects of heat waves; although it is known they can affect mortality and act as a modifying factor. After adjusting for long-term trends and seasonality, the effects of temperature on non-accidental deaths in Seoul and Busan (inland and coastal cities, respectively) were analyzed using a generalized additive model of Poisson distribution. We evaluated temporal trends of heat-related mortalities in four periods (1991-1995, 1996-2000, 2001-2005, and 2006-2012). The effects of temperature on mortality were evaluated according to the occurrence of a heat wave and results were compared in the two cities. The effect of temperature on mortality was the greatest in 1991-1995 in Seoul; no significant change was observed in Busan. When we stratified the study period by heat wave status, the risk increase in mortality was 15.9% per 1℃ during years with a heat wave in Seoul, which was much higher than 0.31% increase observed during years without a heat wave. On the other hand, Busan showed a linear relationship between temperature and mortality and no significant difference between years with or without a heat wave. Variations in the relationship between temperature and mortality could be misunderstood if heat waves are not considered. Furthermore, heterogeneity was found in the modifying effect of heat waves on heat-related mortality in inland and coastal cities. The findings of this study help understand relations between temperature and mortality.
Cause of Death/*trends ; Cities ; Humans ; Temperature