Purpose: Since the coronavirus disease 2019 (COVID-19) pandemic, the educational environment has moved toward online-based education, which may significantly impact medical students’ educational experiences. However, the same events may be understood differently by different individuals depending on their personalities. Therefore, the changing educational environment during the COVID-19 pandemic may not have been perceived equally by all students. This study aimed to investigate medical students’ personality profiles and the difference between academic burnout and engagement according to their personality profiles. Methods: During the 2021–2022 academic year, when online-based education was implemented due to the pandemic, a survey was conducted among medical students in Korea (N=325). First, we used latent profile analysis to identify the sub-types of the Big Five personalities. Second, we used analysis of variance and post hoc comparisons to study the difference between academic burnout and engagement among these sub-types. Results: The Big Five personality traits of medical students in our sample were classified into three profiles. Profiles with relatively high neuroticism, while other personality traits were low, had both the highest academic burnout and academic engagement. Alternatively, the profiles showing relatively low neuroticism, while other personality traits were high, had the lowest academic burnout and the highest academic engagement. Conclusion Personality is a stable trait that affects an individual’s behavior and response to the environment. Thus, individuals with specific personalities differ in their reactions to their environment. This may provide an advantage to some medical students’ careers.

Purpose: Since the coronavirus disease 2019 (COVID-19) pandemic, the educational environment has moved toward online-based education, which may significantly impact medical students’ educational experiences. However, the same events may be understood differently by different individuals depending on their personalities. Therefore, the changing educational environment during the COVID-19 pandemic may not have been perceived equally by all students. This study aimed to investigate medical students’ personality profiles and the difference between academic burnout and engagement according to their personality profiles. Methods: During the 2021–2022 academic year, when online-based education was implemented due to the pandemic, a survey was conducted among medical students in Korea (N=325). First, we used latent profile analysis to identify the sub-types of the Big Five personalities. Second, we used analysis of variance and post hoc comparisons to study the difference between academic burnout and engagement among these sub-types. Results: The Big Five personality traits of medical students in our sample were classified into three profiles. Profiles with relatively high neuroticism, while other personality traits were low, had both the highest academic burnout and academic engagement. Alternatively, the profiles showing relatively low neuroticism, while other personality traits were high, had the lowest academic burnout and the highest academic engagement. Conclusion Personality is a stable trait that affects an individual’s behavior and response to the environment. Thus, individuals with specific personalities differ in their reactions to their environment. This may provide an advantage to some medical students’ careers.

Purpose: Since the coronavirus disease 2019 (COVID-19) pandemic, the educational environment has moved toward online-based education, which may significantly impact medical students’ educational experiences. However, the same events may be understood differently by different individuals depending on their personalities. Therefore, the changing educational environment during the COVID-19 pandemic may not have been perceived equally by all students. This study aimed to investigate medical students’ personality profiles and the difference between academic burnout and engagement according to their personality profiles. Methods: During the 2021–2022 academic year, when online-based education was implemented due to the pandemic, a survey was conducted among medical students in Korea (N=325). First, we used latent profile analysis to identify the sub-types of the Big Five personalities. Second, we used analysis of variance and post hoc comparisons to study the difference between academic burnout and engagement among these sub-types. Results: The Big Five personality traits of medical students in our sample were classified into three profiles. Profiles with relatively high neuroticism, while other personality traits were low, had both the highest academic burnout and academic engagement. Alternatively, the profiles showing relatively low neuroticism, while other personality traits were high, had the lowest academic burnout and the highest academic engagement. Conclusion Personality is a stable trait that affects an individual’s behavior and response to the environment. Thus, individuals with specific personalities differ in their reactions to their environment. This may provide an advantage to some medical students’ careers.

Purpose: Since the coronavirus disease 2019 (COVID-19) pandemic, the educational environment has moved toward online-based education, which may significantly impact medical students’ educational experiences. However, the same events may be understood differently by different individuals depending on their personalities. Therefore, the changing educational environment during the COVID-19 pandemic may not have been perceived equally by all students. This study aimed to investigate medical students’ personality profiles and the difference between academic burnout and engagement according to their personality profiles. Methods: During the 2021–2022 academic year, when online-based education was implemented due to the pandemic, a survey was conducted among medical students in Korea (N=325). First, we used latent profile analysis to identify the sub-types of the Big Five personalities. Second, we used analysis of variance and post hoc comparisons to study the difference between academic burnout and engagement among these sub-types. Results: The Big Five personality traits of medical students in our sample were classified into three profiles. Profiles with relatively high neuroticism, while other personality traits were low, had both the highest academic burnout and academic engagement. Alternatively, the profiles showing relatively low neuroticism, while other personality traits were high, had the lowest academic burnout and the highest academic engagement. Conclusion Personality is a stable trait that affects an individual’s behavior and response to the environment. Thus, individuals with specific personalities differ in their reactions to their environment. This may provide an advantage to some medical students’ careers.

Background: Health indicators, such as mortality rates or life expectancy, need to be presented at the local level to improve the health of local residents and to reduce health inequality across geographic areas. The aim of this study was to estimate life expectancy at the district level in Korea through a spatio-temporal analysis. Methods: Spatio-temporal models were applied to the National Health Information Database of the National Health Insurance Service to estimate the mortality rates for 19 age groups in 250 districts from 2004 to 2017 by gender in Korea. Annual district-level life tables by gender were constructed using the estimated mortality rates, and then annual district-level life expectancy by gender was estimated using the life table method and the Kannisto-Thatcher method. The annual district-level life expectancies based on the spatio-temporal models were compared to the life expectancies calculated under the assumption that the mortality rates in these 250 districts are independent from one another. Results: In 2017, district-level life expectancy at birth ranged from 75.5 years (95% credible interval [CI], 74.0–77.0 years) to 84.2 years (95% CI, 83.4–85.0 years) for men and from 83.9 years (95% CI, 83.2–84.6 years) to 88.2 years (95% CI, 87.3–89.1 years) for women.Between 2004 and 2017, district-level life expectancy at birth increased by 4.57 years (95% CI, 4.49–4.65 years) for men and by 4.06 years (95% CI, 3.99–4.12 years) for women. To obtain stable annual life expectancy estimates at the district level, it is recommended to use the life expectancy based on spatio-temporal models instead of calculating life expectancy using observed mortality. Conclusion In this study, we estimated the annual district-level life expectancy from 2004 to 2017 in Korea by gender using a spatio-temporal model. Local governments could use annual district-level life expectancy estimates as a performance indicator of health policies to improve the health of local residents. The approach to district-level analysis with spatiotemporal modeling employed in this study could be used in future analyses to produce district-level health-related indicators in Korea.

Background: To determine the priorities and resource allocation of community cancerrelated health policies, it is necessary to measure cancer-related health indicators and the burden of cancer by region. This study calculated the cancer-free life expectancy at the eup/ myeon/dong level (small administrative units in South Korea) for the first time, and analyzed its association with regional health insurance premiums. Methods: We used aggregate data from the 2008–2017 National Health Information Database provided by the National Health Insurance Service. Cancer-free life expectancy was calculated by applying Sullivan's method to mortality and cancer prevalence by age group and sex for the 10-year period in 3,396 eups/myeons/dongs. Correlation analyses were performed to analyze the relationship between cancer-free life expectancy and regional health insurance premiums. Results: Cancer-free life expectancy in eups/myeons/dongs of metropolitan areas tended to be higher than in non-metropolitan areas. However, some eups/myeons/dongs of non-metropolitan areas showed quite a high cancer-free life expectancy, especially for females. The median values of differences between cancer-free life expectancy and life expectancy at the eup/myeon/ dong level (total: 1.6 years, male: 1.8 years, female: 1.4 years) indicated that a person's healthy life can be shortened by a number of years due to cancer. The association of cancer-free life expectancy by eup/myeon/dong with the regional health insurance premium was statistically significant (β = 1.0, P < 0.001) and more prominent for males (β = 1.3, P < 0.001) than for females (β = 0.5, P < 0.001). The relationship between the regional health insurance premium and the burden of cancer (life expectancy minus cancer-free life expectancy) was also statistically significant (β = 0.2 for the total population, β = 0.2 for males, and β = 0.1 for females, all P values < 0.001). Conclusion This study showed a significant regional gap with regard to cancer-free life expectancy and the burden of cancer at the eup/myeon/dong level. This work makes a meaningful contribution by presenting new and firsthand summary measures of cancerrelated health across small areas in Korea. The results will also help the authorities to evaluate the effectiveness of local cancer management projects in small administrative areas and determine regional priorities for implementing cancer control policies.

BACKGROUND: This study addressed town-level mortality rates using the National Health Information Database (NHID) of the National Health Insurance Service in Korea in comparison with those derived from the National Administrative Data (NAD) of the Ministry of Interior and Safety. METHODS: We employed the NHID and NAD between 2014 and 2017. We compared the numbers of population and deaths at the national level between these two data sets. We also compared the distribution of the town-level numbers of population and deaths of the two data sets. Correlation analyses were performed to investigate the relation between the NHID and NAD in the town-level numbers of population and deaths, crude mortality rate, and standardized mortality ratio (SMR). RESULTS: The numbers of population and deaths in the NHID were almost identical to those in the NAD, regardless of gender. The distribution of the town-level numbers of population and deaths was also similar between the two data sets during the entire study period. Throughout the study period, the Pearson correlation coefficients between the two databases for the town-level numbers of population and deaths and the crude mortality rate were 0.996 or over. The correlation coefficients for the SMR ranged from 0.937 to 0.972. CONCLUSION: Town-level mortality showed significant correlation and concordance between the NHID and NAD. This result highlights the possibility of producing future analyses of town-level health-related indicators in Korea, including the mortality rate, using the NHID.
Dataset ; Korea ; Mortality ; NAD ; National Health Programs ; Republic of Korea ; Statistics as Topic

BACKGROUND: This study aimed to evaluate the current overall preventable trauma death rate (PTDR) in Korea and identify factors associated with preventable trauma death (PTD). METHODS: The target sample size for review was designed to be 1,131 deaths in 60 emergency medical institutions nationwide. The panels for the review comprised trauma specialists working at the regional trauma centers (RTCs); a total of 10 teams were formed. The PTDR and factors associated with PTD were analyzed statistically. RESULTS: Of the target cases, 943 were able to undergo panel review and be analyzed statistically. The PTDR was 30.5% (6.1% preventable and 24.4% possibly preventable). Those treated at a RTC showed a significantly lower PTDR than did those who were not (21.9% vs. 33.9%; P = 0.002). The PTDR was higher when patients were transferred from other hospitals than when they directly visited the last hospital (58.9% vs. 28.4%; P = 0.058; borderline significant). The PTDR increased gradually as the time from accident to death increased; a time of more than one day had a PTDR 14.99 times higher than when transferred within one hour (95% confidence interval, 4.68 to 47.98). CONCLUSION: Although the PTDR in Korea is still high compared to that in developed countries, it was lower when the time spent from the accident to the death was shorter and the final destined institution was the RTC. To reduce PTDR, it is necessary to make an effort to transfer trauma patients to RTCs directly within an appropriate time.
Developed Countries ; Emergencies ; Humans ; Korea ; Mortality ; Sample Size ; Specialization ; Trauma Centers ; Wounds and Injuries

OBJECTIVES: This study examined trends in inequality in cigarette smoking prevalence by income according to recent anti-smoking policies in Korea. METHODS: The data used in this study were drawn from three nationally representative surveys, the Korea National Health and Nutrition Examination Survey, the Korea Community Health Survey, and the Social Survey of Statistics Korea. We calculated the age-standardized smoking prevalence, the slope index of inequality, and the relative index of inequality by income level as a socioeconomic position indicator. RESULTS: Smoking prevalence among men decreased during the study period, but the downward trend became especially pronounced in 2015, when the tobacco price was substantially increased. Inequalities in cigarette smoking by income were evident in both genders over the study period in all three national surveys examined. Absolute inequality tended to decrease between 2014 and 2015 among men. Absolute and relative inequality by income decreased between 2008 and 2016 in women aged 30-59, except between 2014 and 2015. CONCLUSIONS: The recent anti-smoking policies in Korea resulted in a downward trend in smoking prevalence among men, but not in relative inequality, throughout the study period. Absolute inequality decreased over the study period among men aged 30-59. A more aggressive tax policy is warranted to further reduce socioeconomic inequalities in smoking in young adults in Korea.
Female ; Health Surveys ; Humans ; Korea* ; Male ; Nutrition Surveys ; Prevalence* ; Smoke ; Smoking* ; Socioeconomic Factors* ; Taxes ; Tobacco ; Tobacco Products* ; Young Adult

BACKGROUND: We compared age-standardized overweight prevalence and their income gaps at the level of district in Korea using the National Health Screening Database (NHSD) and the Community Health Survey (CHS). METHODS: We analyzed 39,093,653 subjects in the NHSD and 926,580 individuals in the CHS between 2009 and 2014. For the comparison of body mass index (BMI) distributions, data from 26,100 subjects in the Korea National Health and Nutrition Examination Survey (KNHANES) were also analyzed. We calculated the age-standardized overweight prevalence and its interquintile income gap at the district level. We examined the magnitudes of the between-period correlation for age-standardized overweight prevalence. The differences in overweight prevalence and its income gap between the NHSD and the CHS were also investigated. RESULTS: The age-adjusted mean BMI from the CHS was lower than those from the NHSD and the KNHANES. The magnitudes of the between-period correlation for overweight prevalence were greater in the NHSD compared to the CHS. We found that the district-level overweight prevalence in the NHSD were higher in all districts of Korea than in the CHS. The correlation coefficients for income gaps in overweight prevalence between the two databases were relatively low. In addition, when using the NHSD, the district-level income inequalities in overweight were clearer especially among women than the inequalities using the CHS. CONCLUSION: The relatively large sample size for each district and measured anthropometric data in the NHSD are more likely to contribute to valid and reliable measurement of overweight inequality at the district level in Korea.
Body Mass Index ; Female ; Health Surveys ; Humans ; Korea ; Mass Screening ; Nutrition Surveys ; Overweight ; Prevalence ; Republic of Korea ; Sample Size ; Socioeconomic Factors