RESUMO
Aim: This study proposes investigating the risk and protective factors of intimate partner (IP) psychological violence and psychological distress to better promote psychological wellbeing for nurses and health outcomes for patients. Design: A cross-sectional study. Method: This cross-sectional study was carried out chiefly in Guangdong, Hunan, and Shaanxi provinces, in the east, central, and west of the Chinese economic areas, respectively. It was conducted in October 2021 using convenience sampling. A total of 843 nurses were eligible for the final analysis. Single-factor linear regression models were used to identify potential factors associated with IP psychological violence and psychological distress. In addition, the structural equation model was used to explore the role of personality traits and social support in the association between IP psychological violence and psychological distress. Results: The predictors for the score of IP psychological violence among nurses were participants' married status, contact frequency with a partner, perceived past-year psychological and physical violence experience, the alcohol consumption of partners, and personality traits and social support of partners. Moreover, the alcohol consumption of participants, the past-year experience of IP psychological violence, the score of psychological violence, personality traits, social support, and the personality traits of partners were associated factors affecting the psychological distress of nurses. In the structural model, the personality trait of partners had a direct pathway to psychological violence and social support. The results demonstrated that psychological violence significantly increased psychological distress. Conclusion: Personality traits and social support are essential factors influencing the relationship between IP psychological violence and psychological distress. Impact: The findings of this study emphasize the possibility and importance of identification and intervention for reducing IP psychological violence based on personality traits and social support.
RESUMO
BACKGROUND: A high prevalence of psychological distress is observed in nurses due to multiple occupational stressors. Personality traits and personal factors are important factors that lead to psychological distress. The personality profile reflects a combination of personality traits; however, the relationship between personality profiles and personal factors that affect psychological distress among nurses has not been defined. METHODS: This cross-sectional study was conducted in November 2020 in China. Convenience and snowball sampling were used to recruit participants. Latent profile analysis was used to identify personality profiles of nurses based on the big-five personality traits. Single-factor analysis and multivariate logistic regression were used to determine the factors affecting psychological distress. The structural equation model was used to verify the hypothetical model linking personality profiles, self-efficacy, psychological resilience, and coping style with psychological distress. RESULTS: A total of 953 Chinese nurses (934 female) with a mean (S.D.) age of 32.8 (8.6) years were recruited. Personality profiles identified were negative, normative, and positive. A personality profile may predict psychological distress directly and indirectly through self-efficacy, psychological resilience, and coping style. LIMITATIONS: No complex sampling limits the representativeness of Chinese nurses. External factors affecting psychological distress were not investigated. CONCLUSION: Nurses with anegative personality profile had a higher prevalence of psychological distress. This study establishes the importance of personality profile assessment to identify nurses at higher risk of psychological distress. It suggests that interventions should be based on self-efficacy, psychological resilience, and coping style as potential management strategies.
