Objective: We investigated the sleep parameters and clinical factors related to short sleep onset latency (SL) in cancer patients. Methods: We retrospectively reviewed the medical records of 235 cancer patients. Patient Health Questionnaire-9, State and Trait Anxiety Inventory (State subcategory), Insomnia Severity Index (ISI), Cancer-related Dysfunctional Beliefs about Sleep, and Fear of Progression scale scores and sleep related parameters including sleeping pill ingestion time, bedtime, sleep onset time, and wake-up time were collected. We also calculated the duration from sleeping pill ingestion to bedtime, sleep onset time, and wake-up time; duration from wake-up time to bedtime and sleep onset time; and time spent in bed over a 24 hours period. Results: Among patients not taking sleeping pills (n = 145), early wake-up time (adjusted odds ratio [OR]: 0.39, 95% confidence interval [CI] 0.19−0.78), early sleep onset time (OR: 0.50, 95% CI 0.27−0.93), and low ISI score (OR: 0.82, 95% CI 0.71−0.93) were identified as expecting variables for SL ≤ 30 minutes. Longer duration from wake-up time to bedtime (OR: 2.49, 95% CI 1.48−4.18) predicted SL ≤ 30 minutes. Among those taking sleeping pills (n = 90), early sleep onset time (OR: 0.54, 95% CI 0.39−0.76) and short duration from pill ingestion to sleep onset time (OR: 0.05, 95% CI 0.02−0.16) predicted SL ≤ 30 minutes. Conclusion Cancer patients who fell asleep quickly spent less time in bed during the day. Thus, before cancer patients with insomnia are prescribed sleeping pills, their sleep parameters should be examined to improve their SL.

OBJECTIVE: The goal of this study was to examine the association between IQ and suicide in psychiatric patients. METHODS: We conducted a nested case-control study using data obtained from psychiatric patients affiliated with a general hospital in Seoul, Korea. In a one-to-two ratio the psychiatric patients who died of suicide (Suicide Group; n=35) were matched to those who didn't (Non-suicide Group; n=70) by age, gender, psychiatric diagnosis and approximate time of first treatment. IQ was measured using the Korean version of the Wechsler Adult Intelligence Scale-Revised. RESULTS: There were no significant differences in any type of IQ between suicide patients and non-suicide patients. Logistic regression showed no evidence of an association between IQ and suicide. CONCLUSION: These results do not support the existence of an association between IQ and suicide.
Adult ; Case-Control Studies* ; Hospitals, General ; Humans ; Intelligence ; Korea ; Logistic Models ; Mental Disorders ; Retrospective Studies* ; Seoul ; Suicide*

Objectives: The aim of this study was to investigate whether patients with schizophrenia are aware of the current status and have accurate information about COVID-19. Methods: The participants consisted of 161 inpatients and 117 outpatients with schizophrenia and 40 normal controls. The subjects completed self-report questionnaires measuring changes in their daily life, their perceptions of the current status of COVID-19 and their basic knowledge about the disease. Results: Compared to the normal control group, the inpatients and outpatients with schizophrenia underestimated the cumulative number of confirmed COVID-19 cases and overestimated the mortality rate of COVID-19. The mortality rates of COVID-19 and the common cold were higher in the order of inpatients, outpatients, and normal controls. The main route of SARS-CoV-2 infection and the main symptoms of COVID-19 were accurately recognized by more than 95% in the normal group and more than 80% in outpatients, but inpatients chose the correct answers at a lower rate. In the questions about misperceptions about COVID-19, the correct answer rate was high in the order of normal controls, outpatients, and inpatients. Most patients with schizophrenia obtained information about COVID-19 on TV, while most normal controls collected information through the internet. Conclusion This study showed that awareness of COVID-19 among patients with schizophrenia is insufficient. Additional measures are needed to provide accurate information and the current status of COVID-19 to patients with schizophrenia.

Objective: The aim of this study was to explore the factors that can influence the severity of insomnia in the general population. We also aimed to examine whether sleep effort mediates the association between dysfunctional beliefs about sleep or the discrepancy between desired time in bed and desired total sleep time (DBST) and insomnia severity in individuals. Methods: A total of 387 participants enrolled in this e-survey study. The symptoms were rated using the insomnia severity index (ISI), Patients Health Questionnaire-9 items, Dysfunctional Beliefs about Sleep-2 items, Glasgow Sleep Effort Scale, and Stress and Anxiety to Viral Epidemics-6 items. In addition, we defined a new sleep index named the DBST index. A linear regression analysis was performed to explore the factors predicting ISI scores, and mediation analysis was implemented to explore whether persistent preoccupation with sleep mediated the influence of dysfunctional beliefs about sleep and DBST on insomnia severity. Results: A linear regression analysis investigated depression (β=0.17, p<0.001), sleep effort (β=0.50, p<0.001), dysfunctional beliefs about sleep (β=0.13, p=0.001), and DBST (β=0.09, p=0.014) (adjusted R2=0.50, F=65.7, p<0.001). Additionally, we observed that persistent preoccupation with sleep partially mediated the influence of dysfunctional beliefs about sleep and DBST on insomnia severity. Conclusion Depression, preoccupation with sleep, dysfunctional beliefs about sleep, and DBST influenced the insomnia severity of the general population. We also observed that a persistent preoccupation with sleep partially mediated the influence of dysfunctional beliefs about sleep and the DBST index on insomnia severity.