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.

OBJECTIVES: People who have chronic diseases, as well as gait imbalance or psychiatric drug use, may be susceptible to injuries from falls and slips. The purpose of this study was to evaluate the effect of musculoskeletal diseases on incidental fall-related injuries among adults in Korea. METHODS: We analyzed data from the 4th Korea National Health and Nutrition Examination Survey (2007-2009), which are national data obtained by a rolling survey sampling method. The 1-year incidence of fall-related injuries was defined by health service utilization within the last year due to injury occurring after a slip and fall, and musculoskeletal diseases included osteoarthritis, rheumatoid arthritis, osteoporosis, and back pain. To evaluate the effects of preexisting musculoskeletal diseases, adults diagnosed before the last year were considered the exposed group, and adults who had never been diagnosed were the unexposed group. RESULTS: The weighted lifetime prevalence of musculoskeletal disease was 32 540 per 100 000 persons. Musculoskeletal diseases were associated with a higher risk of fall-related injury after adjustment for sex, age, residence, household income, education, occupation, visual disturbance, paralysis due to stroke, and medication for depression (odds ratio [OR], 1.41; 95% confidence interval [CI], 1.03 to 1.93). As the number of comorbid musculoskeletal diseases increased, the risk of fall-induced injuries increased (p-value for trend <0.001). In particular, patients who had any musculoskeletal condition were at much higher risk of recurrent fall-related injuries (OR, 6.20; 95% CI, 1.06 to 36.08). CONCLUSIONS: One must take into account the risk of fall-related injuries and provide prevention strategies among adults who have musculoskeletal diseases.
Accidental Falls/*statistics & numerical data ; Adolescent ; Adult ; Age Factors ; Aged ; Arthritis, Rheumatoid/complications/epidemiology ; Back Pain/complications/epidemiology ; Female ; Health Surveys ; Humans ; Incidence ; Male ; Middle Aged ; Musculoskeletal Diseases/*complications ; Osteoarthritis/complications/epidemiology ; Osteoporosis/complications/epidemiology ; Republic of Korea/epidemiology ; Risk Factors ; Sex Factors ; Socioeconomic Factors ; Young Adult

The occurrence of occupational illnesses and injuries has been seriously underestimated in Korea. This underdiagnosis and underreporting of occupational illnesses and injuries subsequently contribute to difficulties in performing effective control of occupational hazards and implementing intervention programs to protect workers. An Inchon model for an occupational disease surveillance system was constructed using multiple data sources. Available data were obtained from medical providers' reports, hospital medical records, medical examination data of employees, and environmental measurement data. This Jnchon model was constructed with the following procedure: 1. assembled multidisciplinary staff 2. geographic targeting was to Inchon 3. established community liaison 4. collected related data to establish the magnitude of problem 5. selected, recruited, and trained case reporters 6. developed mechanisms and guidelines for reporting 7. received, screened, and prioritized case reports 8. analyzed data from case reports and field investigations 9. made and disseminated recommendations 10. evaluated the feasibility of the system. An information system based on the Internet for the occupational disease surveillance was also constructed to support the case reporting of occupational diseases. 133 cases of occupational diseases were collected in Inchon from 1 January to 31 December 1998. These cases included cumulative traumatic disorder, occupational asthma, occupational contact dermatitis, allergic pneumonitis, occupational cancer, noise-induced hearing loss, and pneumoconiosis. These data were different from the previously reported data The occurrence pattern of occupational diseases obtained from this surveillance system will be useful for preventing occupational hazards and for enforcing occupational disease prevention programs. Our experiences in establishing this surveillance system may be also used in other regional settings.
Asthma, Occupational ; Data Collection ; Dermatitis, Allergic Contact ; Feasibility Studies* ; Hearing Loss, Noise-Induced ; Incheon* ; Information Systems ; Internet ; Korea ; Medical Records ; Occupational Diseases* ; Occupational Health ; Pneumoconiosis ; Pneumonia

OBJECTIVES: Economic growth and development of medical technology help to improve the average life expectancy, but the western diet and rapid conversions to poor lifestyles lead an increasing risk of major chronic diseases. Coronary heart disease mortality in Korea has been on the increase, while showing a steady decline in the other industrialized countries. An age-period-cohort analysis can help understand the trends in mortality and predict the near future. METHODS: We analyzed the time trends of ischemic heart disease mortality, which is on the increase, from 1985 to 2009 using an age-period-cohort model to characterize the effects of ischemic heart disease on changes in the mortality rate over time. RESULTS: All three effects on total ischemic heart disease mortality were statistically significant. Regarding the period effect, the mortality rate was decreased slightly in 2000 to 2004, after it had continuously increased since the late 1980s that trend was similar in both sexes. The expected age effect was noticeable, starting from the mid-60's. In addition, the age effect in women was more remarkable than that in men. Women born from the early 1900s to 1925 observed an increase in ischemic heart mortality. That cohort effect showed significance only in women. CONCLUSIONS: The future cohort effect might have a lasting impact on the risk of ischemic heart disease in women with the increasing elderly population, and a national prevention policy is need to establish management of high risk by considering the age-period-cohort effect.
Adult ; Age Factors ; Aged ; Female ; Humans ; Male ; Middle Aged ; Myocardial Ischemia/*mortality ; Republic of Korea/epidemiology ; Risk Factors ; Sex Factors

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