Cognitive emotion regulation strategies and depressive symptoms among nurses exposed to workplace violence: a person-centered approach.

BACKGROUND: Cognitive strategies are preferred among nurses who have limited opportunities in the workplace to use behavioral strategies to cope with negative life events. AIMS: To explore whether different cognitive emotion regulation profiles could be distinguished in nurses exposed to workplace violence, and to investigate whether such profiles had differential associations with depressive symptoms. METHOD: An online survey was conducted among nurses exposed to workplace violence (N = 399). Latent profile analysis was performed to identify discrete profiles based on the use of cognitive emotion regulation strategies. The Bolck, Croon, and Hagenaars method was applied to compare the latent profiles on the depressive symptoms. RESULTS: Seven latent profiles were identified: Low Regulators, Medium Regulators, High Regulators, Intensely Adaptive Regulators, Moderately Adaptive Regulators, Intensely Maladaptive Regulators, and Moderately Maladaptive Regulators. High Regulators had the highest level of depressive symptoms. Although using less adaptive strategies, Low Regulators did not report significantly more depressive symptoms than Medium Regulators, Intensely Maladaptive and Moderately Maladaptive Regulators. CONCLUSIONS: The adaptability of cognitive emotion regulation strategies depends on the conjunction of different strategies one person has at his disposal. Cognitive emotion regulation skill training should focus on flexible implementation of strategies and decreasing use of maladaptive strategies.

[Social health status of the HIV infected and their families and relevant influencing factors].

OBJECTIVE: To investigate the social health status of the HIV infected and their families in a high HIV/AIDS prevalence village in Hunan province and to examine the relations of the social health status, responses and social support. METHODS: A total of 51 HIV infected persons (infected group), 49 family members of the infected (family member group) and 96 normal persons (control group) were surveyed by Social Health Measurement Scale-a sub-scale of Self-rated Health Measurement Scale (SRHMS), Social Support Assessment Scale (SSAS) and Trait Coping Style Questionnaire (TCSQ). RESULTS: (1) In regard to the total scores of social health, responding style and social support, significant differences were found among the infected group, the group of family members and the control group (62.9 +/- 18.6, 79.8 +/- 18.0, 86.5 +/- 21.3, F = 18.16; 28.7 +/- 4.3, 27.2 +/- 5.4, 25.9 +/- 6.4, F = 5.21; 33.8 +/- 8.1, 41.0 +/- 6.6, 38.1 +/- 6.8, F = 13.23; P < 0.01). (2) Subjective care and support, the educational status, the marital status and support utilization were significant predictors to the social health status of the infected group (R(2) = 0.73, F = 27.78, P < 0.01). (3) Subjective support and negative responding style were significant predictors to the social health status of the group of family members (R(2) = 0.32, F = 12.35, P < 0.01). CONCLUSION: The HIV infected and their families have more negative responding style, make less use of social support and hold a inferior social health status. It's necessary to exert psychological intervention targeting at these population group.