Mental health and meaning in life in Chinese military personnel: a cross-lagged analysis.
BMC Psychol
; 12(1): 426, 2024 Aug 05.
Article
in En
| MEDLINE
| ID: mdl-39103874
ABSTRACT
BACKGROUND:
The burgeoning field of research on the dual-factor model of mental health (DFM) has highlighted its significance, yet the applicability of the DFM in military personnel and its longitudinal relationships with different dimensions of meaning in life remains unclear. This study aimed to clarify the applicability of the DFM for military personnel and to investigate longitudinal relationships between the dual factors of mental health (negative factor, positive factor) and the two dimensions of meaning in life (presence of meaning, search for meaning) in military personnel.METHODS:
In this study, data were collected in two waves (April and August 2023) from 227 Chinese military personnel. We constructed a dual-factor model with depression as the negative factor and subjective well-being as the positive factor, and we compared it with a single-factor model to determine if DFM could be applied to military personnel. We also constructed a cross-lagged model to investigate longitudinal relationships between depression, subjective well-being, presence of meaning, and search for meaning.RESULTS:
According to the findings, military personnel fit better with the DFM than with the single-factor model. Cross-lagged analysis results revealed that both the presence of meaning and the search for meaning negatively predicted depression and positively predicted subjective well-being.CONCLUSIONS:
The DFM had good applicability among military personnel. Both the presence of meaning and the search for meaning could improve military mental health, suggesting that both dimensions of meaning in life may be potential targets for improving military mental health.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Mental Health
/
Depression
/
Military Personnel
Limits:
Adult
/
Female
/
Humans
/
Male
Country/Region as subject:
Asia
Language:
En
Journal:
BMC Psychol
Year:
2024
Document type:
Article
Affiliation country:
China
Country of publication:
Reino Unido