Psychiatric symptoms and emotion regulation strategies among the unemployed people in Korea: A latent profile analysis.

This study aimed to explore the profiles of emotion regulation strategies among unemployed people, and to examine the association of latent profiles with demographics and psychiatric symptoms. The study included 136 men (42.8%) and 182 women (57.2%). The average age of the participants was 35.84 yea...

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Main Author: Min Sun Kim
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0236937
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spelling doaj-23e1f837c72f47d2bf8498f4f6c22a422021-03-03T22:01:25ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01158e023693710.1371/journal.pone.0236937Psychiatric symptoms and emotion regulation strategies among the unemployed people in Korea: A latent profile analysis.Min Sun KimThis study aimed to explore the profiles of emotion regulation strategies among unemployed people, and to examine the association of latent profiles with demographics and psychiatric symptoms. The study included 136 men (42.8%) and 182 women (57.2%). The average age of the participants was 35.84 years (SD = 26.83). Latent profile analysis was used to determine emotion regulation strategy profiles. Associated factors of profile membership were identified with multinomial logistic regression. The four-profile model (low adaptive emotion regulation class, low negative emotion regulation/moderate positive regulation class, high negative emotion regulation/support-seeking class, adaptive emotion regulation class) was selected as the best solution. As a result of examining the probability of being classified into each class according to emotional difficulties, the lower the level of anxiety and somatization, the higher the probability of belonging to the class 2 adaptive emotion regulation class (n = 56, 18%). The higher the depression, the higher the probability of being classified into class 4 (n = 65, 20%) using a lot of negative emotion regulation strategies. The results of this study indicate that unemployed people can be classified into various subgroups according to their emotion regulation strategies. Also, the probability of being classified into each subgroup was different based on the types of emotional difficulties such as depression, anxiety, and somatization. Through the results of this study, it is possible to understand the relationship between the psychiatric symptoms of unemployed people and emotion regulation strategies and to suggest methods for promoting effective emotion regulation strategies among this population group.https://doi.org/10.1371/journal.pone.0236937
collection DOAJ
language English
format Article
sources DOAJ
author Min Sun Kim
spellingShingle Min Sun Kim
Psychiatric symptoms and emotion regulation strategies among the unemployed people in Korea: A latent profile analysis.
PLoS ONE
author_facet Min Sun Kim
author_sort Min Sun Kim
title Psychiatric symptoms and emotion regulation strategies among the unemployed people in Korea: A latent profile analysis.
title_short Psychiatric symptoms and emotion regulation strategies among the unemployed people in Korea: A latent profile analysis.
title_full Psychiatric symptoms and emotion regulation strategies among the unemployed people in Korea: A latent profile analysis.
title_fullStr Psychiatric symptoms and emotion regulation strategies among the unemployed people in Korea: A latent profile analysis.
title_full_unstemmed Psychiatric symptoms and emotion regulation strategies among the unemployed people in Korea: A latent profile analysis.
title_sort psychiatric symptoms and emotion regulation strategies among the unemployed people in korea: a latent profile analysis.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description This study aimed to explore the profiles of emotion regulation strategies among unemployed people, and to examine the association of latent profiles with demographics and psychiatric symptoms. The study included 136 men (42.8%) and 182 women (57.2%). The average age of the participants was 35.84 years (SD = 26.83). Latent profile analysis was used to determine emotion regulation strategy profiles. Associated factors of profile membership were identified with multinomial logistic regression. The four-profile model (low adaptive emotion regulation class, low negative emotion regulation/moderate positive regulation class, high negative emotion regulation/support-seeking class, adaptive emotion regulation class) was selected as the best solution. As a result of examining the probability of being classified into each class according to emotional difficulties, the lower the level of anxiety and somatization, the higher the probability of belonging to the class 2 adaptive emotion regulation class (n = 56, 18%). The higher the depression, the higher the probability of being classified into class 4 (n = 65, 20%) using a lot of negative emotion regulation strategies. The results of this study indicate that unemployed people can be classified into various subgroups according to their emotion regulation strategies. Also, the probability of being classified into each subgroup was different based on the types of emotional difficulties such as depression, anxiety, and somatization. Through the results of this study, it is possible to understand the relationship between the psychiatric symptoms of unemployed people and emotion regulation strategies and to suggest methods for promoting effective emotion regulation strategies among this population group.
url https://doi.org/10.1371/journal.pone.0236937
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