Change in employment status and its causal effect on suicidal ideation and depressive symptoms: A marginal structural model with machine learning algorithms

Change in employment status and its causal effect on suicidal ideation and depressive symptoms: A marginal structural model with machine learning algorithms

OBJECTIVE: This study aimed to assess the causal effect of a change in employment status on suicidal ideation and depressive symptoms by applying marginal structural models (MSM) with machine-learning (ML) algorithms. METHODS: We analyzed data from the 8–15^th waves (2013–2020) of the Korean Welfare...

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Bibliographic Details
Main Authors: Jaehong Yoon, Ji-Hwan Kim, Yeonseung Chung, Jinsu Park, Ja-Ho Leigh, Seung-Sup Kim
Format: Article
Language:English
Published: Nordic Association of Occupational Safety and Health (NOROSH) 2024-04-01
Series:Scandinavian Journal of Work, Environment & Health
Subjects:
suicide
effect
employment status
depressive symptom
suicidal ideation
precarious work
machine learning
marginal structural model
algorithm
social epidemiology
inverse probability weight
Online Access: https://www.sjweh.fi/article/4150

Internet

https://www.sjweh.fi/article/4150

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