Dataset Information

Association between dry eye symptoms and suicidal ideation in a Korean adult population.

ABSTRACT:

Purpose

This study assessed the association of dry eyes with depression and suicidal ideation in a Korean adult population.

Methods

Data from 16408 participants (6972 men and 9436 women) aged ? 19 years included in the fifth Korea National Health and Nutrition Examination Survey, conducted from 2010-2012, were analyzed. For dry eyes, surveys of previous diagnosis of dry eye disease (DED) by an ophthalmologist and experience of subjective dry eye symptoms were separately used. Diagnosis of depression and suicidal ideation were obtained via responses to an interviewer-assisted questionnaire, and questions were asked in a closed-ended response format. Logistic regression was used to examine the associations between dry eyes, depression, and suicidal ideation.

Results

DED diagnosis exhibited an odds ratio (OR) of 1.32 (95% confidence interval [CI] 1.11-1.57) for depression and 1.24 (95% CI 1.05-1.48) for suicidal ideation compared to those without DED, after adjusting for sex, age, education, occupation, household income, body mass index, smoking behavior, alcohol consumption, physical activity, hypertension, diabetes, dyslipidemia, thyroid diseases, major cardiovascular disease, and cancer. Similarly, the adjusted OR (95% CI) of dry eye symptoms was 1.50 (95% CI 1.30-1.73) for depression and 1.47 (95% CI 1.27-1.70) for suicidal ideation.

Conclusion

Our findings suggest that dry eyes (either DED diagnosis or dry eye symptoms) may be associated with the prevalence of depression and suicidal ideation in the Korean adult population.

SUBMITTER: Um SB

PROVIDER: S-EPMC6010274 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Publications

Association between dry eye symptoms and suicidal ideation in a Korean adult population.

Um Sun-Bi SB Yeom Hyungseon H Kim Na Hyun NH Kim Hyeon Chang HC Lee Hyung Keun HK Suh Il I

PloS one 20180620 6

<h4>Purpose</h4>This study assessed the association of dry eyes with depression and suicidal ideation in a Korean adult population.<h4>Methods</h4>Data from 16408 participants (6972 men and 9436 women) aged ≥ 19 years included in the fifth Korea National Health and Nutrition Examination Survey, conducted from 2010-2012, were analyzed. For dry eyes, surveys of previous diagnosis of dry eye disease (DED) by an ophthalmologist and experience of subjective dry eye symptoms were separately used. Diag ...[more]

PMID: 29924835

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Project description:ObjectiveThis study aimed to explore the relationship between different types of interpersonal relationships and anxiety symptoms, depressive symptoms, and suicidal ideation and discusses the impact of different grades among middle school students.MethodsThe Patient Health Questionnaire Depression Scale, the Chinese version of the Generalized Anxiety Scale, suicidal ideation questions, and interpersonal relations items were used to measure the depression symptoms, anxiety symptoms, suicidal ideation, and interpersonal relations of the participants. The variables of anxiety symptoms, depressive symptoms, suicidal ideation, and interpersonal relations were screened using the Chi-square test and principal component analysis. AMOS17.0 constructs the path of the association between interpersonal relations and depressive symptoms, anxiety symptoms, and suicidal ideation.ResultsThe mother-child relationship had direct impacts of -0.06, -0.07, and -0.06 on anxiety symptoms, depressive symptoms, and suicidal ideation. On anxiety symptoms, depressive symptoms, and suicidal ideation, the direct impacts of the father-child relationship were -0.09, -0.03, and -0.08. Moreover, the direct effects of peer relationships on depressive symptoms were -0.04, whereas the direct impact of teacher-student relationships on anxiety and depressive symptoms were -0.10 and -0.09. Further pathway analysis based on grade level showed that in the junior high school model, the direct effect of the mother-child relationship on anxiety and depressive symptoms was -0.18 and -0.16. The direct impact of the father-child relationship on depressive symptoms and suicidal ideation was -0.08 and 0.09. The direct effect of peer relationships on depressive symptoms was -0.08, and the direct impact of the teacher-student relationship on anxiety symptoms was -0.06. In the high school model, the direct effect of the mother-child relationship on suicidal ideation was -0.07, while the direct impact of the father-child relationship on anxiety, depression, and suicidal ideation was -0.10, -0.07, and -0.12, respectively. In addition, the direct effects of peer relationships on anxiety and depression were -0.06 and -0.05, and the direct impact of teacher-student relationships on anxiety and depression was -0.10 and -0.11.ConclusionThe father-child relationship affects suicidal ideation and depression the most, followed by the mother-child relationship, the teacher-student interaction, and the peer relationship. The teacher-student relationship influences anxiety symptoms the most, followed by the father-child and mother-child relationships. The association between interpersonal interactions and anxiety, depressive symptoms, and suicidal ideation varied significantly across grade levels.

Project description:Depression is common, especially in women of child-bearing age; prevalence estimates for this group range from 8% to 12%, and there is robust evidence that maternal depression is associated with mental health problems in offspring. Suicidal behaviour is a growing concern amongst young people and those exposed to maternal depression are likely to be especially at high risk. The aim of this study was to utilise a large, prospective population cohort to examine the relationship between depression symptom trajectories in mothers over the first eleven years of their child's life and subsequent adolescent suicidal ideation. An additional aim was to test if associations were explained by maternal suicide attempt and offspring depressive disorder. Data were utilised from a population-based birth cohort: the Avon Longitudinal Study of Parents and Children. Maternal depression symptoms were assessed repeatedly from pregnancy to child age 11 years. Offspring suicidal ideation was assessed at age 16 years. Using multiple imputation, data for 10,559 families were analysed. Using latent class growth analysis, five distinct classes of maternal depression symptoms were identified (minimal, mild, increasing, sub-threshold, chronic-severe). The prevalence of past-year suicidal ideation at age 16 years was 15% (95% CI: 14-17%). Compared to offspring of mothers with minimal symptoms, the greatest risk of suicidal ideation was found for offspring of mothers with chronic-severe symptoms [OR 3.04 (95% CI 2.19, 4.21)], with evidence for smaller increases in risk of suicidal ideation in offspring of mothers with sub-threshold, increasing and mild symptoms. These associations were not fully accounted for by maternal suicide attempt or offspring depression diagnosis. Twenty-six percent of non-depressed offspring of mothers with chronic-severe depression symptoms reported suicidal ideation. Risk for suicidal ideation should be considered in young people whose mothers have a history of sustained high levels of depression symptoms, even when the offspring themselves do not have a depression diagnosis.

Project description:BackgroundSuicide remains the leading cause of premature death in South Korea. This study aims to develop machine learning algorithms for screening Korean adults at risk for suicidal ideation and suicide planning or attempt.MethodsTwo sets of balanced data for Korean adults aged 19-64 years were drawn from the 2012-2019 waves of the Korea Welfare Panel Study using the random down-sampling method (N = 3292 for the prediction of suicidal ideation, N = 488 for the prediction of suicide planning or attempt). Demographic, socioeconomic, and psychosocial characteristics were used to predict suicidal ideation and suicide planning or attempt. Four machine-learning classifiers (logistic regression, random forest, support vector machine, and extreme gradient boosting) were tuned and cross-validated.ResultsAll four algorithms demonstrated satisfactory classification performance in predicting suicidal ideation (sensitivity 0.808-0.853, accuracy 0.843-0.863) and suicide planning or attempt (sensitivity 0.814-0.861, accuracy 0.864-0.884). Extreme gradient boosting was the best-performing algorithm for predicting both suicidal outcomes. The most important predictors were depressive symptoms, self-esteem, income, consumption, and life satisfaction. The algorithms trained with the top two predictors, depressive symptoms and self-esteem, showed comparable classification performance in predicting suicidal ideation (sensitivity 0.801-0.839, accuracy 0.841-0.846) and suicide planning or attempt (sensitivity 0.814-0.837, accuracy 0.874-0.884).LimitationsSuicidal ideation and behaviors may be under-reported due to social desirability bias. Causality is not established.DiscussionMore than 80% of individuals at risk for suicidal ideation and suicide planning or attempt could be predicted by a number of mental and socioeconomic characteristics of respondents. This finding suggests the potential of developing a quick screening tool based on the known risk factors and applying it to primary care or community settings for early intervention.

Dataset Information

Association between dry eye symptoms and suicidal ideation in a Korean adult population.

Purpose

Methods

Results

Conclusion

Publications

Association between dry eye symptoms and suicidal ideation in a Korean adult population.

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