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      Why is Korean girls’ suicidal ideation rate higher than boys’ rate? The role of gender heterogeneity in peer groups

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          Abstract

          Girls typically show much lower suicide rates than boys in most OECD countries. However, in South Korea, the suicide rate of girls almost reaches that of boys. Moreover, Korean girls’ suicide rate is remarkable even among other advanced countries. One potential approach to explaining Korean girls’ relatively high suicide rate is to investigate how their peer groups affect suicidal ideation, but this approach has rarely been explored in Korean adolescents. We tested how the gender heterogeneity of peer groups is associated with suicidal ideation by analyzing 2,990 adolescents from the 2018 Korean Children and Youth Well-Being Index Survey. For the analysis, logistic regression models with survey weights were used. The analysis revealed that adolescents with different-gender friends were associated with a higher likelihood of suicidal ideation than those with exclusively same-gender friends when adjusting for covariates. In addition, an analysis stratified by gender found that this association was significant only among girls. Furthermore, the protective power of having a mentor against suicidal ideation was significantly lower in girls with male and female friends than in girls with only female friends. The findings suggest a less protective role of different-gender peer groups for suicidal ideation among girls. During adolescent suicidality consultations, school counselors and practitioners should pay attention to the characteristics of adolescents’ peers, particularly their gender.

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          Suicide, Suicide Attempts, and Suicidal Ideation

          Suicidal behavior is a leading cause of death and disability worldwide. Fortunately, recent developments in suicide theory and research promise to meaningfully advance knowledge and prevention. One key development is the ideation-to-action framework, which stipulates that (a) the development of suicidal ideation and (b) the progression from ideation to suicide attempts are distinct phenomena with distinct explanations and predictors. A second key development is a growing body of research distinguishing factors that predict ideation from those that predict suicide attempts. For example, it is becoming clear that depression, hopelessness, most mental disorders, and even impulsivity predict ideation, but these factors struggle to distinguish those who have attempted suicide from those who have only considered suicide. Means restriction is also emerging as a highly effective way to block progression from ideation to attempt. A third key development is the proliferation of theories of suicide that are positioned within the ideation-to-action framework. These include the interpersonal theory, the integrated motivational-volitional model, and the three-step theory. These perspectives can and should inform the next generation of suicide research and prevention.
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            Interaction terms in logit and probit models

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              Interaction terms in nonlinear models.

              To explain the use of interaction terms in nonlinear models. We discuss the motivation for including interaction terms in multivariate analyses. We then explain how the straightforward interpretation of interaction terms in linear models changes in nonlinear models, using graphs and equations. We extend the basic results from logit and probit to difference-in-differences models, models with higher powers of explanatory variables, other nonlinear models (including log transformation and ordered models), and panel data models. EMPIRICAL APPLICATION: We show how to calculate and interpret interaction effects using a publicly available Stata data set with a binary outcome. Stata 11 has added several features which make those calculations easier. LIMDEP code also is provided. It is important to understand why interaction terms are included in nonlinear models in order to be clear about their substantive interpretation. © Health Research and Educational Trust.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                6 September 2023
                2023
                : 18
                : 9
                : e0290072
                Affiliations
                [1 ] Population Research Center, The University of Texas at Austin, Austin, Texas, United States of America
                [2 ] Department of Sociology and Criminology, Arkansas State University, Jonesboro, Arkansas, United States of America
                Sunway University, MALAYSIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-2013-9678
                Article
                PONE-D-23-14065
                10.1371/journal.pone.0290072
                10482302
                37672522
                f84ab228-2893-4fa3-9e86-3cf8b69e33dd
                © 2023 Bae, Lee

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 10 May 2023
                : 2 August 2023
                Page count
                Figures: 3, Tables: 3, Pages: 18
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000071, National Institute of Child Health and Human Development;
                Award ID: P2CHD042849
                Award Recipient :
                This study was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development in the form of a grant to the Population Research Center at The University of Texas, Austin which supported a postdoc fellowship for YB [P2CHD042849].
                Categories
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                People and Places
                Population Groupings
                Age Groups
                Children
                Adolescents
                People and Places
                Population Groupings
                Families
                Children
                Adolescents
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Suicide
                Social Sciences
                Sociology
                Education
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                Sociology
                Social Stratification
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                Psychology
                Collective Human Behavior
                Interpersonal Relationships
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                Emotions
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                Endocrine Physiology
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                Menarche
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                Custom metadata
                All data files are available from this website: https://kossda.snu.ac.kr/handle/20.500.12236/23362.

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