Document Type : Original Article


1 Department of Medical Emergencies, School of Paramedical, Social Determinants of Health Research Center, Research Institute for Prevention of NonCommunicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran

2 Department of Nursing, Tarbiat Modares University, Tehran, Iran

3 Social Determinants of Health Research Center, Qazvin University of Medical Sciences, Qazvin, Iran,

4 Department of Nursing, Mazandaran University of Medical Science, Sari, Iran

5 Social Determinants of Health Research Center, Qazvin University of Medical Sciences, Qazvin, Iran


BACKGROUND: Nurses have a challenging job and encounter more stressful situations. In
response to these situations, they demonstrate adaptive or maladaptive cognitive emotion regulation
strategies (CERS). As there is a lack of literature regarding the factors predicting the selection of
CERS , the present study aimed to investigate the role of age, sex, marital status, working experience,
type of ward, and education level in predicting these strategies in Iranian nurses.
MATERIALS AND METHODS: A descriptive correlational study was conducted to examine predictive
factors’ emotion regulation strategies used by 193 nurses who worked at six hospitals under the
supervision of Qazvin University of Medical Sciences in 2018. The study population were selected
by stratified random sampling method. Data were collected by two questionnaires, one demographic
questionnaire and the other was Cognitive Emotion Regulation Questionnaire conducted by
Garnefski (α = 0.8). Data analysis was performed using correlation and multiple linear regression.
RESULTS: The results showed that there is a significant relationship between the “type of ward”
and “age” with adaptive and maladaptive strategies. In the multiple linear regression model, two
variables of age (P = 0.03) and type of ward (P = 0.04) were able to predict 23% of variance CERS.
CONCLUSIONS: Based on the results of this study, health‑care providers and hospital managers
should pay attention to factors related to adaptive and maladaptive CERS.


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