Reliability and Validity of the Korean Version of the Ask Suicide-Screening Questions (ASQ).

BACKGROUND: The Ask Suicide-Screening Questions (ASQ) tool is a simple suicide screening tool developed to screen patient suicide risk (SR). The purpose of this study was to verify the reliability and validity of the ASQ tool in hospitalized patients. METHODS: The internal consistency and test-retest reliability of the South Korean version of the ASQ tool were verified in 99 hospitalized patients admitted to a tertiary medical institution in Seoul. To verify the correlations and validity of each convergence with other scales, the Mini-International Neuropsychiatric Interview (MINI), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Satisfaction with Life Scale (SWLS) were also conducted to determine convergent and discriminant validity. Then, the receiver operating characteristic (ROC) curve diagnosis values for suicide and depression levels with the highest correlations were analyzed. RESULTS: As a result, Cronbach's alpha was 0.826, and when each item was removed sequentially, Cronbach's alpha ranged from 0.736-0.840, showing stable internal consistency. Most of the corrected item-total correlation were over 0.500; however, a relatively low correlation was shown for the fourth and fifth questions, which had values of 0.429 and 0.410, respectively. The test-retest reliability was 0.830, and the MINI and PHQ-9 showed high values of 0.872 and 0.672, respectively. The area under the curve (AUC) according to the ASQ diagnosis value was also the highest for the MINI (0.936). CONCLUSION: The validity and reliability of the South Korean version of the ASQ tool were demonstrated. Through this validation, the ASQ tool can be used for simple suicide risk screening (SRS) in hospitalized patients.

Assessment of suicidal risk using Minnesota multiphasic personality inventory-2 restructured form.

BACKGROUND: Suicide is a major social issue, affected by both social and psychopathological factors. This study investigated suicide risk assessment using the Minnesota Multiphasic Personality Inventory-2 Restructured Form (MMPI-2-RF). METHODS: Data were collected from 7824 college students using the MMPI-2-RF. The participants were classified into high-, moderate-, and low-risk for suicide groups based on their scores on the structured Mini-International Neuropsychiatric Interview (MINI) for comparative analysis. The relationships between scores on the Restructured Clinical (RC) Scales of the MMPI-2-RF and suicide risk level were investigated using a multiple logistic regression. RESULTS: Out of the 7824 participants, 964 (12.3%) were identified as being at risk of suicide. There were 553 participants considered low-risk, 312 moderate-risk, and 99 at high-risk. Suicide risk in the participants tended to increase as RC scale scores increased. Out of the nine RC scales, the Demoralization (RCd) and Negative Emotions (RC7) scale scores were highest across all risk groups. The results of a multiple logistic regression indicated that the Demoralization (RCd) scores were significantly elevated in all three suicide risk groups. Antisocial Behavior (RC4) and Aberrant Experiences (RC8) scale scores were significantly elevated for the low-risk group, whereas Somatic Complaints (RC1) scores were elevated for the moderate-risk group, and Somatic Complaints (RC1), Low Positive Emotions (RC2), Antisocial Behavior (RC4), and Ideas of Persecution (RC6) scale scores were elevated for the high-risk group. CONCLUSIONS: Compared to the healthy control group, all three suicide risk groups showed elevated scores on the RC Scales overall, suggesting that various psychopathological factors are involved in the etiology of suicide. More psychopathologic factors were found to influence suicide-related issues in the higher risk groups than lower risk groups, suggesting that more risk factors are involved in higher suicide risk groups. Compared to healthy controls, even the low-risk group showed a significant elevation in emotional factors and antisocial behaviors. While the healthy controls and those at risk of suicide differed significantly on both the Demoralization (RCd) and Negative Emotions (RC7) scales, only the Demoralization (RCd) scale appeared to be able to screen for high suicide risk.

Exploratory Factor Analysis of the Beck Anxiety Inventory and the Beck Depression Inventory-II in a Psychiatric Outpatient Population.

BACKGROUND: To further understand the relationship between anxiety and depression, this study examined the factor structure of the combined items from two validated measures for anxiety and depression. METHODS: The participants were 406 patients with mixed psychiatric diagnoses including anxiety and depressive disorders from a psychiatric outpatient unit at a university-affiliated medical center. Responses of the Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI)-II, and Symptom Checklist-90-Revised (SCL-90-R) were analyzed. We conducted an exploratory factor analysis of 42 items from the BAI and BDI-II. Correlational analyses were performed between subscale scores of the SCL-90-R and factors derived from the factor analysis. Scores of individual items of the BAI and BDI-II were also compared between groups of anxiety disorder (n = 185) and depressive disorder (n = 123). RESULTS: Exploratory factor analysis revealed the following five factors explaining 56.2% of the total variance: somatic anxiety (factor 1), cognitive depression (factor 2), somatic depression (factor 3), subjective anxiety (factor 4), and autonomic anxiety (factor 5). The depression group had significantly higher scores for 12 items on the BDI while the anxiety group demonstrated higher scores for six items on the BAI. CONCLUSION: Our results suggest that anxiety and depressive symptoms as measured by the BAI and BDI-II can be empirically differentiated and that particularly items of the cognitive domain in depression and those of physical domain in anxiety are noteworthy.

Investigation of the clinical utility of the hypomania checklist 32 (HCL-32) for the screening of bipolar disorders in the non-clinical adult population.

BACKGROUND: The hypomania checklist-32 (HCL-32) is a widely used questionnaire developed for identifying hypomanic components in patients with a depressive episode. Measuring and screening previous hypomanic symptoms in individuals without any definite history of depressive episode would also be needed for early detection of bipolar disorders (BDs). This study aimed at testing the clinical utility of the HCL-32 for screening of BDs in the non-clinical population. METHODS: Lifetime history of hypomanic symptoms was evaluated by using the HCL-32 in 220 patients with BDs and 313 non-clinical individuals. Sensitivity, specificity, and the area under the curve (AUC) of the Receiver Operating Characteristic (ROC) were evaluated for assessing the discriminatory power of the scale and its two sub-domains in screening BDs. RESULTS: The mean HCL-32 total score was significantly higher in the Bipolar II disorder group compared to the non-clinical group (P < 0.001). Most of the items (10/12) of the irritable/risk-taking factor showed higher positive responses in patient groups. Items of active/elated factor showed mixed results. The HCL-32 total score and the active/elated factor score were not adequate for both BDs and its subgroups with AUC values of less than 0.7. The irritable/risk-taking factor score showed higher discrimination power, i.e. AUC for BDs, Bipolar I disorder, and Bipolar II disorder was 0.71, 0.67, and 0.75, respectively. CONCLUSIONS: The HCL-32 could not adequately distinguish BD patients from the non-clinical adult population. However, the current study identified items of irritable/risk-taking factor of the scale that could be useful in screening BDs in the general population.

Temperament and characteristics related to attention deficit/hyperactivity disorder symptoms.

OBJECTIVE: Adult attention deficit/hyperactivity disorder (ADHD) exhibits symptoms, such as attention deficit and impulsivity, that make it difficult for patients to manage social activities. In this study, we investigated the association of adult ADHD symptoms with temperament and character dimensions, taking into account possible sex interactions. METHOD: A total of 2917 (1462 males and 1455 females) college students completed the 140 5-point Likert items on the Temperament and Character Inventory-Revised Short version (TCI-RS) and the Attention Deficit/Hyperactivity Disorder Self-Rated Scale (ASRS). According to the ASRS score, subjects were classified into the control group, the inattentive ADHD symptom (IA) group, or the hyperactive/impulsive ADHD symptom (HI) group. Additionally, the scores of the four temperament dimensions and the three character dimensions were compared. RESULTS: In the IA and HI groups, the NS and HA levels of the temperament dimension were high and the PS level was low compared with the control group. In the character dimension, the levels of SD and CO were significantly lower in the ADHD groups than in the control group (P<0.001). Meanwhile, the ST level in the HI group was significantly higher than in the control group. In the regression analysis after age and gender correction, NS and SD in the IA group and NS, CO, and ST in the HI group were associated with adult ADHD symptoms. CONCLUSION: The current findings suggest that high novelty seeking may be related to adult ADHD symptoms in the temperament dimension. Furthermore, some character dimensions were associated with adult ADHD symptoms.

Lifetime Characteristics of Evening-Preference and Irregular Bed-Rise Time Are Associated With Lifetime Seasonal Variation of Mood and Behavior: Comparison Between Individuals With Bipolar Disorder and Healthy Controls.

Sleep-wake cycle disruption and seasonal variation in mood and behavior have been associated with mood disorders. This study aimed to investigate the lifetime characteristics of the sleep-wake cycle and its association with the lifetime characteristics of seasonality in individuals with bipolar disorder. Circadian preference, regularity of bed-rise time, and seasonality were evaluated on a lifetime basis using the Composite Scale of Morningness, the Sleep Timing Questionnaire, and the Seasonal Pattern Assessment Questionnaire in clinically stable individuals with bipolar I/II disorders (n = 103/97) and healthy controls (n = 270). Bipolar groups were more likely to have evening preference and irregular bed-rise time. These characteristics were interrelated and, particularly, more prevalent in bipolar II disorder. Seasonality, which was also more prevalent in the bipolar groups, was associated with evening preference and irregularity of the weekday bed-rise time.

Reliability and validity of the Korean version of the Scale for the Assessment of Thought, Language, and Communication.

BACKGROUND: Our study aimed to assess the inter-rater and test-retest reliability, as well as concurrent and convergent validity, of the Korean version of the Scale for the Assessment of Thought, Language, and Communication (TLC scale). METHODS: The factor solutions and psychometric properties of the Korean version of the TLC scale were evaluated among 167 schizophrenia inpatients (study subjects) at two sites in South Korea. Using Pearson's correlation, the concurrent and convergent validities of each of the factor solutions were represented by the correlations with the scores on the Clinical Language Disorder Rating Scale, Brief Psychiatric Rating Scale, Young Mania Rating Scale, and Calgary Depression Scale. Using receiver operating characteristics curves, the optimal cut-off score for the Korean version of the TLC scale to distinguish between study subjects with and without disorganized speech, was identified. RESULTS: The results showed that the Korean version of the TLC scale has a three-factor solution: fluent disorganization, speech emptiness, and speech peculiarity. In addition, the interrater reliability of the Korean version of the TLC scale was moderately good (intraclass correlation coefficient = 0.51) and its test-retest reliability was very good (Pearson's correlation coefficient = 0.94). For detecting the current presence of disorganized speech, the optimal cut-off total score on the TLC scale was proposed to be 8 points (sensitivity = 88.1%; specificity = 82.9%). LIMITATIONS: Psychometric tools covering cognitive functions were not used in our study. CONCLUSIONS: The Korean version of the TLC scale is a promising psychometric method for examining formal thought disorder (FTD) and disorganized speech in schizophrenia patients.

Character profiles and life satisfaction.

BACKGROUND: There is a surge of interest in subjective well-being (SWB), which concerns how individuals feel about their happiness. Life satisfaction tends to be influenced by individual psychological traits and external social factors. The aim of this study was to examine the relationship between individual character and SWB. METHODS: Data from 3522 university students were analyzed in this study. Character profiles were evaluated using the Temperament and Character Inventory-Revised Short version (TCI-RS). Life satisfaction was assessed using the Satisfaction with Life Scale (SWLS). All statistical tests regarding the correlations between each character profile and life satisfaction were conducted using ANOVAs, t-tests, multiple linear regression models and correlation analyses. RESULTS: The creative (SCT) profile was associated with the highest levels of life satisfaction, whereas the depressive (sct) profile was associated with the lowest levels of life satisfaction. Additionally, high self-directedness, self-transcendence and cooperation were associated with high life satisfaction. The results of gender-adjusted multiple regression analysis showed that the effects of self-directedness were the strongest in the assessment of one's quality of life, followed by self-transcendence and cooperativeness, in that order. All of the three-character profiles were significantly correlated with one's quality of life, and the character profiles of TCI-RS explained 27.6% of life satisfaction in total. Among the three-character profiles, the self-directedness profile was most associated with life satisfaction. LIMITATIONS: Our study was cross-sectional, and self-reported data from students at a single university were analyzed. CONCLUSIONS: The results of this study showed that, among the character profiles, the effects of self-directedness were the strongest for predicting life satisfaction.

Prevalence, behavioral manifestations and associated individual and climatic factors of seasonality in the Korean general population.

BACKGROUNDS: Seasonality, an individual trait of seasonal variations in mood and behavior, has received clinical attention for its association with mood disorders. This study aimed to explore the prevalence, specific manifestation, and associated individual and climatic factors of seasonality in the non-elderly adult population. METHODS: Five hundred fifty-two participants [male n=220; female n=332; mean age 34.92years, standard deviation (SD) 10.18] with no psychiatric history were recruited from the Seoul metropolitan area (37°33'58.87″N 126°58'40.63″E). Seasonality was evaluated using the Seasonal Pattern Assessment Questionnaire. Climatic variables used in analyses were averaged over recent 5years (from 2008 to 2013) on a monthly basis. RESULTS: The mean global seasonality score (GSS) was 5.53 (SD 3.91), and 16.2% (n=89) of participants had seasonal affective disorder (SAD) or sub-SAD. The "feeling worst" month in most of the participants with significant seasonality were winter (41.6%) or summer (38.2%). Socio-demographic factors including age and sex were not related to the seasonality. Decreased sunlight amount and diurnal temperature range in a given and previous month, and increased humidity in a previous month showed significant associations with the percentage of participants with the worst mood. The most frequently reported symptom related to seasonality was 'changes in energy level'. Specific manifestations were not significantly different between the winter type and the summer type. CONCLUSION: The summer and winter type seasonality in the non-clinical adult population did not differ in terms of behavioral manifestations. Decreased sunlight amount, diurnal temperature range, and increased humidity appeared to be major climatic factors associated with seasonality.

The relationship between parental marital status and suicidal ideation and attempts by gender in adolescents: results from a nationally representative Korean sample.

OBJECTIVE: Suicide in adolescents is a major problem worldwide. The purpose of this study was to identify differences in suicidal behaviors with respect to parental marital status. METHODS: The data used in this study were obtained from the Korea Youth Risk Behavior Web-based Survey (KYRBWS) of middle and high school students in 2010. Using a national representative sample, this study analyzed data from 73,238 subjects. With respect to gender, the odds ratios of suicidal behavior were calculated based on the parental marital status, living situation, and family affluence scale (FAS). RESULTS: After adjusting for age, achievement, sadness, and substance use, the prevalence of suicidal ideation in adolescents with a remarried parent significantly increased among boys to 1.364 [95% confidence interval (CI)=1.027-1.813] and among girls to 1.511 (95% CI=1.215-1.879). The odds ratio of suicide attempts increased to 1.808 (95% CI=1.119-2.923) for adolescent boys and to 1.947 (95% CI=1.609-2.356) for adolescent girls. However, having a single parent did not affect the prevalence of suicidal ideation in either gender. In girls, as family affluence decreased, the odds ratio of suicidal ideation notably increased. For girls whose families were in a low tier of the FAS, the odds ratio of both suicidal ideation and suicide attempts increased. CONCLUSIONS: Both boys and girls were more likely to report suicidal ideation and attempts after a parent's remarriage, whereas family affluence was inversely related to suicidal ideation and attempts in girls.

Lifetime experiences of hypomanic symptoms are associated with delayed and irregular sleep-wake cycle and seasonality in non-clinical adult samples.

OBJECTIVES: Disturbances of the sleep-wake cycle and seasonality have been reported in patients with bipolar disorder (BD). Considering that BD seems to be a spectrum condition in terms of clinical and biological characteristics, circadian and seasonal rhythm related to BD could be detected in non-clinical individuals with subthreshold bipolarity. The aim of this study was to screen past hypomanic symptoms in non-clinical samples and investigate their association with deviated sleep-wake cycle and seasonality. METHODS: Lifetime history of hypomanic symptoms was assessed with the Hypomania Checklist-32 (HCL-32). Circadian preference, variability of sleep-wake time and seasonal changes in mood and behavior were evaluated on a lifetime-basis in non-clinical adult samples (n=313), using the Composite Scale of Morningness (CSM), the Sleep Timing Questionnaire (STQ), and the Seasonal Pattern Assessment Questionnaire (SPAQ). RESULTS: Two subdomains of hypomanic symptoms were identified through factor analysis of HCL-32, i.e., "active/elated" factor and "irritable/risk-taking" factor. The HCL-32 total score (p<0.001) and the "active/elated" factor score (p=0.028) were weakly correlated only with seasonality, whereas the "irritable/risk-taking" factor score was associated not only with seasonality (p<0.001), but also with evening preference (p<0.001) and irregularity of sleep-wake times (p=0.001~0.011). CONCLUSION: Circadian and seasonal characteristics related to BD are also associated with a past history of hypomanic symptoms in non-clinical samples, especially "irritable/risk-taking" symptoms, suggesting the existence of subclinical presentation of BD and their biological traits.

Association between insurance type and suicide-related behavior among US adults: The impact of the Affordable Care Act.

This study examined the association between insurance type and suicidal ideation and attempts among adults in the United States, incorporating a comparative analysis of the pre- and post-Affordable Care Act (ACA) periods. We used a nationally representative, cross-sectional, population-based survey of individuals aged 18 years and older from the 2010-2019 National Survey on Drug Use and Health. The higher rates of suicidal ideation and attempts among Medicaid and uninsured groups compared with those with private insurance. After implementation of the ACA policy, the difference-in-differences analysis showed a significantly reduced risk of suicide in the Medicare group compared with the privately insured group, with no significant differences observed in the other groups. These findings highlight the importance of improving access to mental health services, particularly for those with lower levels of insurance coverage, such as Medicaid and Medicare.

Influence of temperament and character on resilience.

OBJECTIVE: The purpose of this study was to examine the influence of temperament and character on resilience. METHODS: A total of 4355 participants completed two questionnaires: the Conner-Davison Resilience Scale (CD-RISC) and the Temperament and Character Inventory-Revised Short (TCI-RS). We used Pearson's correlations to evaluate the correlation between the dimensions of the TCI and the CD-RISC. To determine the most influential TCI dimension with respect to the CD-RISC, a backward multiple regression analysis was performed. RESULTS: The resilience of both men and women was positively correlated with persistence, self-directedness, and cooperativeness. Conversely, harm avoidance was negatively correlated with resilience. In addition, reward dependence in men and self-transcendence in women were positively correlated with resilience. In the multiple regression analysis, persistence, self-directedness, and harm avoidance significantly predicted resilience after adjusting for age and gender. CONCLUSION: This results show that social support is affected by personality, which consists of both temperament and character. High persistence and self-directedness as well as low harm avoidance are found to contribute to a better stress response.

Reliability and validity of the Korean version of the internet addiction test among college students.

We developed a Korean translation of the Internet Addiction Test (KIAT), widely used self-report for internet addiction and tested its reliability and validity in a sample of college students. Two hundred seventy-nine college students at a national university completed the KIAT. Internal consistency and two week test-retest reliability were calculated from the data, and principal component factor analysis was conducted. Participants also completed the Internet Addiction Diagnostic Questionnaire (IADQ), the Korea Internet addiction scale (K-scale), and the Patient Health Questionnaire-9 for the criterion validity. Cronbach's alpha of the whole scale was 0.91, and test-retest reliability was also good (r = 0.73). The IADQ, the K-scale, and depressive symptoms were significantly correlated with the KIAT scores, demonstrating concurrent and convergent validity. The factor analysis extracted four factors (Excessive use, Dependence, Withdrawal, and Avoidance of reality) that accounted for 59% of total variance. The KIAT has outstanding internal consistency and high test-retest reliability. Also, the factor structure and validity data show that the KIAT is comparable to the original version. Thus, the KIAT is a psychometrically sound tool for assessing internet addiction in the Korean-speaking population.

Depressive symptoms among people under COVID-19 quarantine or self-isolation in Korea: a propensity score matching analysis.

Introduction: This study aims to determine the effect of COVID-19-related hospital isolation or self-isolation on depression using the propensity score matching method. Methods: Data on 217,734 participants were divided into groups based on whether or not they underwent quarantine for their COVID-19 diagnosis. COVID-19-related anxiety, depressive symptoms, subjective health status, and perceived stress were evaluated. Results: Based on the calculated propensity score, we matched the quarantined group and non-quarantined group using 1:2 matching with nearest neighbor matching and a caliper width of 0.1. Within the quarantined group, 16.4% of participants experienced significant depressive symptoms, which was significantly higher than that of the non-quarantined group. However, there was no significant difference between the two groups in COVID-19-related anxiety, self-rated health status, and perceived stress. In our multiple logistic regression analysis with related variables corrected, the quarantined group was 1.298 times more likely to have depressive symptoms than the non-quarantined group (95% CI = 1.030-1.634). Conclusion: Our study confirmed that COVID-19 quarantine is associated with depressive symptoms. These results indicate that healthcare policymakers and healthcare professionals must consider the negative mental and physical effects of quarantine when determining quarantine measures during an infectious disease disaster such as the COVID-19 pandemic.

A Network Analysis of Depressive Symptoms in the Elderly with Subjective Memory Complaints.

(1) Background: Subjective memory complaints (SMCs) are common among the elderly and are important because they can indicate early cognitive impairment. The factor with the greatest correlation with SMCs is depression. The purpose of this study is to examine depressive symptoms among elderly individuals with SMCs through a network analysis that can analyze disease models between symptoms; (2) Methods: A total of 3489 data collected from elderly individuals in the community were analyzed. The Subjective Memory Complaints Questionnaire and Patient Health Questionnaire-9 were evaluated. For statistical analysis, we investigated the features of the depressive symptoms network, including centrality and clustering; (3) Results: Network analysis of the SMC group showed strong associations in the order of Q1-Q2 (r = 0.499), Q7-Q8 (r = 0.330), and Q1-Q6 (r = 0.239). In terms of centrality index, Q2 was highest in strength and expected influence, followed by Q1 in all of betweenness, strength, and expected influence; (4) Conclusions: The network analysis confirmed that the most important factors in the subjective cognitive decline group were depressed mood and anhedonia, which also had a strong correlation in the network pattern.

The Effectiveness of Predicting Suicidal Ideation through Depressive Symptoms and Social Isolation Using Machine Learning Techniques.

(1) Background: Social isolation is a major risk factor for suicidal ideation. In this study, we investigated whether the evaluation of both depression and social isolation in combination could effectively predict suicidal ideation; (2) Methods: A total of 7994 data collected from community residents were analyzed. Statistical analysis was performed using age, the Patient Health Questionnaire-9, and the Lubben Social Network Scale as predictors as the dependent variables for suicidal ideation; machine learning (ML) methods K-Nearest Neighbors, Random Forest, and Neural Network Classification were used; (3) Results: The prediction of suicidal ideation using depression and social isolation showed high area under the curve (0.643-0.836) and specificity (0.959-0.987) in all ML techniques. In the predictor model (model 2) that additionally evaluated social isolation, the validation accuracy consistently increased compared to the depression-only model (model 1); (4) Conclusions: It is confirmed that the machine learning technique using depression and social isolation can be an effective method when predicting suicidal ideation.

A Machine Learning Approach for Predicting Wage Workers' Suicidal Ideation.

(1) Background: Workers spend most of their days working. One's working environment can be a risk factor for suicide. In this study, we examined whether suicidal ideation can be predicted using individual characteristics, emotional states, and working environments. (2) Methods: Nine years of data from the Korean National Health and Nutrition Survey were used. A total of 12,816 data points were analyzed, and 23 variables were selected. The random forest technique was used to predict suicidal thoughts. (3) Results: When suicidal ideation cases were predicted using all of the independent variables, 98.9% of cases were predicted, and 97.4% could be predicted using only work-related conditions. (4) Conclusions: It was confirmed that suicide risk could be predicted efficiently when machine learning techniques were applied using variables such as working environments.

Prediction of suicidal ideation in shift workers compared to non-shift workers using machine learning techniques.

BACKGROUND: Shift work can affect sleep and increase the risk of suicide. This study attempted to predict suicidal ideation according to shift work by using machine learning techniques. METHODS: We analyzed a total of 43,095 data conducted by using the 10-year Korean National Health and Nutrition Examination Survey (KHANES). Shift workers and daytime workers were categorized and analyzed using random forest (RF) and decision tree (DT) techniques of machine learning techniques. RESULTS: Shift workers were more than twice as likely to have suicidal ideation as daytime workers. The RF model showed an accuracy of 91.6% for shift workers and 98% for daytime workers. In the DT technique, the rate of suicidal ideation was the highest among shift workers (82.7%) when they were depressed and had an EuroQol-5 Dimension (EQ-5D) score of less than 0.71. LIMITATIONS: Shift work type was evaluated questionnaire and based on screening data, it was not possible to reflect recent changes in the work type and we evaluated for only suicidal ideation for suicide risk factors. CONCLUSION: The variables influencing the suicide risk of shift workers and daytime workers differ. In the case of shift workers, negative factors such as depression and low quality of life are risk factors for suicide. Efforts are needed to reduce risk factors through administrative and policy interventions to manage workers' health by early screening.

Association Between Breakfast Consumption and Suicidal Attempts in Adolescents.

Purpose: It has been previously reported that skipping breakfast is positively associated with increased depression, anxiety, stress, and psychological distress. This study examined the effects of breakfast consumption on suicide attempts among adolescents. Patients and Methods: The Korean Youth Risk Behavior Web-based Survey (KYRBWS) is an anonymous self-report survey conducted with middle- and high-school students to understand the health behavior of Korean adolescents. Variables related to suicide risk such as suicide attempts, breakfast frequency, depression, anxiety, and violence were analyzed using multivariate logistic regression analysis. The class selected as the sample class was surveyed for all students and the number of youths selected as the sample in 2020 was 57,925 students from 800 schools (400 middle schools and 400 high schools) in 17 cities and provinces nationwide. Among them, the dataset for this study was 54,948 completed adolescent health behavior surveys. Results: Adolescents who attempted suicide often skipped breakfast and had high stress levels. In the regression analysis, those who ate breakfast less than once a week had a stronger association with suicide attempts than the group of six or seven times a week (OR = 2.186; 95% CI = 1.873-2.552). In the group of feeling sadness or hopeless for more than two weeks in the past year, those who ate breakfast zero or once a week (OR = 1.269; 95% CI = 1.044-1.542), or two or three times (OR = 1.300; 95% CI = 1.043-1.619), showed a stronger correlation with suicide attempts than the group of six or seven times a week. Conclusion: Breakfast can affect adolescents' emotions. Helping adolescents regularly eat breakfasts might be a suicide prevention strategy.