Gender, Coping, and Mental Health: a Bayesian Network Model Analysis

Autor: Sonsoles Cabrera Laborde-Bois, Carmen Moret-Tatay, David Martínez-Rubio, María José Beneyto-Arrojo, Nuria Senent-Capuz
Rok vydání: 2016
Předmět:
Zdroj: Social Behavior and Personality: an international journal. 44:827-835
ISSN: 0301-2212
DOI: 10.2224/sbp.2016.44.5.827
Popis: We examined the relationships among gender, coping, and mental health in terms of probabilities. We selected a sample of university students (N = 131) aged between 18 and 32 years, and used the GHQ-28 and COPE instruments for analysis. The Bayesian network model that we constructed showed higher probabilities of symptoms of mental health problems for emotion-focused coping than for problem-focused coping. No differences were found regarding gender. This suggests that the use of problem-focused coping is more recommendable for both male and female university students, and it may also provide some benefits in terms of treatment of symptoms of mental health problems. However, to further verify our findings more research is necessary.
Databáze: OpenAIRE