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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Background: Suicide is influenced by multiple factors. However, the mechanisms through which these factors influence suicide remain understudied. This study aims to examine the relationship between parenting styles (warmth, control, indulgence, humiliation, and neglect), coping, self-esteem, depression, and suicidality (suicidal ideation and suicide attempts) among college students. Methods: Cross-sectional data were collected from 2369 undergraduates (mean age = 20.10 years) including 1201 women (50.7%) at four Chinese colleges. Results: Students reported high rates of suicidal behaviors (12.7% suicidal ideation, 6.4% suicidal attempts) and depression (37%). Structural equation modeling indicated that warmth (+) had associations with coping. Coping was linked to self-esteem and depression. Depression (+), self-esteem (−), warmth (−), and neglect (+) had direct correlations with suicidality. Self-esteem mediated the relationships between warmth and depression. Conclusions: Future prevention intervention efforts aimed at reducing depression and suicidal behaviors should prioritize the promotion of positive parenting styles and the avoidance of negative ones. College mental health services should emphasize positive and optimistic coping strategies to enhance students’ self-esteem.

Details

Title
Parenting Styles and Suicidal Behaviors among College Students: Examining the Mediating Roles of Coping, Self-Esteem, and Depression
Author
Liu, Ruishen 1 ; Zhao, Qun 2 ; Li, Shengchang 3 ; Gui, Hongyu 1 ; Zhang, Tianyu 4 ; Wang, Jie 5 ; Sui, Jing 6 

 Research Institute for Environment and Health, Nanjing University of Information Science and Technology, Nanjing 210044, China; [email protected] (R.L.); [email protected] (H.G.); [email protected] (J.S.) 
 Research Institute for Environment and Health, Nanjing University of Information Science and Technology, Nanjing 210044, China; [email protected] (R.L.); [email protected] (H.G.); [email protected] (J.S.); Institute for Artificial Intelligence in Medicine, Nanjing University of Information Science and Technology, Nanjing 210044, China; [email protected] 
 Institute for Artificial Intelligence in Medicine, Nanjing University of Information Science and Technology, Nanjing 210044, China; [email protected] 
 School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China; [email protected] 
 School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China; [email protected] 
 Research Institute for Environment and Health, Nanjing University of Information Science and Technology, Nanjing 210044, China; [email protected] (R.L.); [email protected] (H.G.); [email protected] (J.S.); Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China 
First page
666
Publication year
2024
Publication date
2024
Publisher
MDPI AG
e-ISSN
2076328X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3097858615
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.