Factors Predicting Stress among Nurses in the Unrest Situation of the Four Southern Border Provinces of Thailand



Stress is a significant health problem that exists among nurses working in areas of political unrest and war. It can pose a negative impact on the local health systems. Therefore, this study of factors predicting stress among nurses in situation of unrest in the four southern border provinces is important. This study aimed to explore the relationship of factors and their ability to predict stress. Factors included the severity of the unrest situation, sense of coherence, commitment, self-efficacy, and social support that exist among nurses in these situations. The subjects were 300 nurses who were selected by multi–stage random sampling. Data was analyzed using Pearson’s product-moment correlation, and stepwise multiple regression. The results indicated that the severity of the unrest situation was positively significantly associated with stress among nurses at high levels (r =.527, p < .01) and sense of coherence (r = -.272, p< .01) was negatively significantly associated, being at a low level of correlation with stress among nurses.The severity of the unrest situation, sense of coherence, and social support together predicted 32.2% of the variance in stress among nurses. The severity of the unrest situation was the most significant predictor of stress (27.7%), followed by sense of coherence (3.4%), and social support (2.1%). The findings from this study can be used as basic data for nursing administrators to plan actions to prevent and deal with stress among nurses in situations of unrest by focusing on such predicting factors.


Stress, nurses, severity of unrest situation, sense of coherence, social support


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Last updated: 20 June 2019