ABSTRACT
Purpose@#This cross-sectional study aimed to identify factors affecting coronavirus disease 2019 (COVID-19) vaccination intention. @*Methods@#For an anonymous online survey, recruitment notices were posted on an anonymous community by each university, and an online survey was conducted through online form from June to July 2021. COVID-19 knowledge and health-protective behavior were measured using a questionnaire based on previous literature and reflecting the Korea Centers for Disease Control and Prevention’s COVID-19 Response Guidelines. The psychological antecedents of vaccination were measured by 5C scale. @*Results@#Two-hundred and ninety-four college students (women 67.3%) answered the survey; 179 (60.9%) reported that they would accept a COVID-19 vaccine. The mean scores for COVID-19 knowledge and health-protective behavior were 22.97 ± 5.33 (out of 35) and 9.92 ± 2.22 (out of 12), respectively. For the psychological antecedents of vaccination, the mean scores for confidence, collective responsibility, calculation, complacency, and constraints were 4.45 ( ± 1.24), 5.61 ( ± 1.09), 5.09 ( ± 1.18), 2.42 ( ± 1.11), and 2.37 ( ± 1.19) out of 5 points, respectively. The confidence, calculation, and collective responsibility were associated with vaccination intention. Additionally, the top reason for those who were less prone to accept vaccination against COVID-19 was concern about vaccine safety. @*Conclusion@#The higher the confidence in the vaccine and the higher the collective responsibility, the higher the vaccination intention. As it is a factor related to an individual’s perception of COVID-19 information, it is necessary to increase confidence in the vaccines through obtaining accurate information on the safety, effectiveness, and side effects of the COVID-19 vaccines and vaccination.
ABSTRACT
OBJECTIVES: Sleep disturbance is a very rapidly growing disease with aging. The purpose of this study was to investigate the prevalence of sleep disturbances and its predictive factors in a three-year cohort study of people aged 60 years and over in Korea. METHODS: In 2012 and 2014, we obtained data from a survey of the Korean Social Life, Health, and Aging Project. We asked participants if they had been diagnosed with stroke, myocardial infarction, angina pectoris, arthritis, pulmonary tuberculosis, asthma, cataract, glaucoma, hepatitis B, urinary incontinence, prostate hypertrophy, cancer, osteoporosis, hypertension, diabetes, hyperlipidemia, or metabolic syndrome. Cognitive function was assessed using the Mini-Mental State Examination for dementia screening in 2012, and depression was assessed using the Center for Epidemiologic Studies Depression Scale in 2012 and 2014. In 2015, a structured clinical interview for Axis I psychiatric disorders was administered to 235 people, and sleep disturbance was assessed using the Pittsburgh Sleep Quality Index. The perceived stress scale and the State-trait Anger Expression Inventory were also administered. Logistic regression analysis was used to predict sleep disturbance by gender, age, education, depression score, number of coexisting diseases in 2012 and 2014, current anger score, and perceived stress score. RESULTS: Twenty-seven percent of the participants had sleep disturbances. Logistic regression analysis showed that the number of medical diseases three years ago, the depression score one year ago, and the current perceived stress significantly predicted sleep disturbances. CONCLUSION: Comorbid medical disease three years previous and depressive symptoms evaluated one year previous were predictive of current sleep disturbances. Further studies are needed to determine whether treatment of medical disease and depressive symptoms can improve sleep disturbances.