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Iranian Journal of Psychiatric Nursing. 2015; 3 (3): 76-83
en Persa | IMEMR | ID: emr-176087

RESUMEN

Introduction: Hypnosis is one of the psychological approaches that used in multiple sclerosis patients. The effect of hypnosis depends on individual hypnotic susceptibility. Hypnotic susceptibility is degree of response to the hypnotic suggestions and is a stable personal characteristic. The aim of present study was to determine correlation between personal characteristic and mental health with the degree of hypnotic susceptibility


Methods: This correlation study was carried out on 60 women with multiple sclerosis referring to the MS Society of Urmia. The data collection tools that used here include demographic questionnaire, General health questionnaire [GHQ] and Stanford hypnotic susceptibility scale [SHSS]


Results: In the investigation of the correlation between the variables and the hypnotic susceptibility of the samples, the Pearson correlation test result showed a statistical correlation between age and the degree of hypnotic susceptibility[r=-0.29, p value=0.023]. In investigation of the correlation between the level of education and hypnotic susceptibility, the independent t-test results showed no statistically significant correlation between the two variables [p value>0.05]. The results of ANOVA test also showed that there is no significant correlation between employment status of the samples and their hypnotic susceptibility [p value = 0.420]. In analysis of relation between mental health and the degree of hypnotic susceptibility, Pearson correlation test results showed weak correlation between two variables [r=0.089, p value=0.499]


Conclusion: In general it can be concluded that among the personal characteristics, the only significant correlation is between age and degree of hypnotic susceptibility of samples and hypnotic susceptibility is not influenced by other personal characteristics. It can also be concluded that hypnotherapy is a effective and safe treatment which could well be used in MS patients

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