Dualfactor Model of Mental Health in Chinese Employees: A Latent Profile Analysis

Yi Xu (), Sicheng Xiong (), Bin Zhang () and Yun Chen
Additional contact information
Yi Xu: Hunan Children’s Hospital
Sicheng Xiong: Hunan University of Chinese Medicine
Bin Zhang: Hunan University of Chinese Medicine
Yun Chen: Hunan University of Chinese Medicine

Journal of Happiness Studies, 2023, vol. 24, issue 8, No 10, 2627-2645

Abstract: Abstract The dual-factor model emphasizes the integration of negative and positive indicators in the conceptualization of mental health. Yet, no research to date has used this model to describe employees with varying mental health characteristics. The current study used latent profile analysis (LPA) to identify groups of employees who shared certain mental health characteristics (i.e., who had the same profile), and also examined whether these profiles differed on sociodemographic and work-related factors. Participants were 15,123 full-time employees (58.6% women, aged 18–64 years) from 14 cities in Hunan province, China, who completed questionnaires in their work setting. LPA identified a four-profile solution as the best fitting mode: complete mental health group (21.5%), symptomatic but content group (23.7%), vulnerable group (20.9%), and troubled group (33.9%). The results of multinomial logistic regression showed that these profiles differed on sociodemographic and work-related factors, namely age, marital status, gender, daily hours of work, annual income, and occupational position. The current study is the first to apply the dual-factor model as a framework for identifying mental health profiles and their associated factors in a large-scale sample of Chinese adults. The findings have implications for developing specific prevention strategies and intervention policies tailored to employees’ different mental health profiles.

Keywords: Dual-factor model; Mental health; Latent profile analysis; Chinese employees (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10902-023-00695-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jhappi:v:24:y:2023:i:8:d:10.1007_s10902-023-00695-7

Ordering information: This journal article can be ordered from
http://www.springer. ... fe/journal/10902/PS2

DOI: 10.1007/s10902-023-00695-7

Access Statistics for this article

Journal of Happiness Studies is currently edited by Antonella Delle Fave

More articles in Journal of Happiness Studies from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().