ObjectivesThis study aimed to assess the affective and cognitive risk perceptions in the general population of Middle East respiratory syndrome (MERS) during the 2015 MERS coronavirus (MERS-CoV) outbreak in South Korea and the influencing factors.DesignSerial cross-sectional design with four consecutive surveys.SettingNationwide general population in South Korea.ParticipantsOverall 4010 respondents (aged 19 years and over) from the general population during the MERS-CoV epidemic were included.Primary and secondary outcome measuresThe main outcome measures were (1) affective risk perception, (2) cognitive risk perception, and (3) trust in the government. Multivariate logistic regression models were used to identify factors (demographic, socioeconomic, area and political orientation) associated with risk perceptions.ResultsBoth affective and cognitive risk perceptions decreased as the MERS-CoV epidemic progressed. Proportions of affective risk perception were higher in all surveys and slowly decreased compared with cognitive risk perception over time. Females (adjusted OR (aOR) 1.72–2.00; 95% CI 1.14 to 2.86) and lower self-reported household economic status respondents were more likely to perceive the affective risk. The older the adults, the higher the affective risk perception, but the lower the cognitive risk perception compared with younger adults. The respondents who had low trust in the government had higher affective (aOR 2.19–3.11; 95 CI 1.44 to 4.67) and cognitive (aOR 3.55–5.41; 95 CI 1.44 to 9.01) risk perceptions.ConclusionsThis study suggests that even if cognitive risk perception is dissolved, affective risk perception can continue during MERS-CoV epidemic. Risk perception associating factors (ie, gender, age and self-reported household economic status) appear to be noticeably different between affective and cognitive dimensions. It also indicates that trust in the government influences affective risk perception and cognitive risk perception. There is a need for further efforts to understand the mechanism regarding the general public’s risk perception for effective risk communication.

Teenage mothers are at high risk for maternal and neonatal complications. This study aimed to evaluate the socioeconomic circumstances of teenage pregnancy, and determine whether these increased risks remained after adjustment for socioeconomic circumstances in Korea. Using the National Health Insurance Corporation database, we selected women who terminated pregnancy, by delivery or abortion, from January 1, 2010 to December 31, 2010. Abortion, delivery type, and maternal complications were defined based on the International Classification of Diseases-10th Revision. We compared teenagers (13–19 years at the time of pregnancy termination) with other age groups and investigated differences based on socioeconomic status, reflected by Medical Aid (MA) and National Health Insurance (NHI) beneficiaries. We used multivariate analysis to define the factors associated with preterm delivery. Among 463,847 pregnancies, 2267 (0.49%) involved teenagers. Teenage mothers were more likely to have an abortion (33.4%) than deliver a baby when compared with other age groups (20.8%; P < 0.001). About 14.4% of teenage mothers had never received prenatal care throughout pregnancy. Among teenage mothers, 61.7% of MA recipients made fewer than 4 prenatal care visits (vs 38.8% of NHI beneficiaries) (P < 0.001). Teenage mothers more often experienced preterm delivery and perineal laceration (P < 0.001). Teenage mothers (<20 years) were 2.47 times more likely to have preterm delivery than older mothers (20–34 years; P < 0.001). Teenage mothers had higher risk of inadequate prenatal care and subsequently of preterm delivery, which remained significantly higher after adjusting for socioeconomic confounding variables and adequacy of prenatal care in Korean teenagers (P < 0.001).

BackgroundAn imbalance of physician supply by medical specialty has been observed in most countries. In Korea, there is a greater tendency to avoid surgical specialties and specialty choices in nonclinical medicine, such as the basic science of medicine. In this study, we identified factors affecting the specialty choice of physicians in order to provide a basis for policies to address this problem.MethodsWe used the results of a 2013 nationwide survey of 12 709 medical students (82.7 % responded) to analyze the data of 9499 students after excluding missing data. Descriptive analyses of all students’ specialty choice were performed. Logistic regression was performed by selecting gender, age, grade level, type of medical school, hometown, and the location of the medical school as the independent variables. Medical specialty was the dependent variable. The dependent variable, or specialty of medicine, was categorized into three groups: nonclinical/clinical medicine, surgical-medical specialty, and controllable lifestyle specialty.ResultsThe order of preferred medical specialties was internal medicine, psychiatry, and pediatrics; for surgical specialties, the order was orthopedic surgery, general surgery, and ophthalmology. Medical specialties were most favored by women and students in the third (men) and second (women) year of the medical program, whereas surgical specialties were most preferred by men and students in the first year of the program. Students in the third year mostly favored nonclinical medicine. Medical college students had a stronger preference for nonclinical medicine (odds ratio [OR] 1.625, 95 % confidence interval [CI] 1.139–2.318) than graduate medical school students. Surgical specialties were more favored by men (OR 2.537, 95 % CI 2.296–2.804) than by women. However, they were favored less by medical college students (OR 0.885, 95 % CI 0.790–0.991) than by graduate medical school students and by medical students in metropolitan areas (OR 0.892, 95 % CI 0.806–0.988) than by medical students in nonmetropolitan areas. A controllable lifestyle specialty was less favored by men (OR 0.802, 95 % CI 0.730–0.881) than by women.ConclusionsBased on these results, we can evaluate the effectiveness of the government’s educational policies for solving the imbalance of physician supply and provide empirical evidence to understand and solve this problem.