Cluster Analysis on the Mental Health States in a Community Sample of Young Women During Pre-Pregnancy, Pregnancy, or the Postpartum Period
- Author:
Hyun Ju LIM
1
;
Eunsoo MOON
;
Kyungwon KIM
;
Hwagyu SUH
;
Jeonghyun PARK
;
Du-Ri KIM
;
Jong-Hwan PARK
;
Myung-Jun SHIN
;
Yean-Hwa LEE
Author Information
- Publication Type:Original Article
- From:Psychiatry Investigation 2023;20(5):445-451
- CountryRepublic of Korea
- Language:English
-
Abstract:
Objective:It is necessary to identify the mental health types of young women considering the importance of the mental health during the peripartum period. This study aimed to classify the mental health types in a community sample of young women with pre-pregnancy, pregnancy, or the postpartum period.
Methods:A total of 293 young women during pre-pregnancy, pregnancy, or the postpartum period were included in this study. The clinical characteristics of depression, anxiety, perceived stress, and quality of life were assessed. The clinical characteristics of the subject were classified by cluster analysis and compared by analysis of variance.
Results:From the cluster analysis, the subjects were classified into three groups. Cluster 1 showed significantly lower depression and anxiety and higher quality of life than those of cluster 2 and 3. Cluster 2 demonstrated significantly higher depression and anxiety and lower quality of life than those of cluster 3 and 1. Cluster 3 represented the intermediate levels between cluster 2 and 1.
Conclusion:This study suggested that young women during pre-pregnancy, pregnancy, or the postpartum period might be in a good mental health group, a high-risk group requiring active monitoring, or a group in need of treatment. By monitoring mental health, the groups with high risk or requiring treatment could be discovered and proper management for prevention or improvement of mental health and quality of life can be provided.
