İbrahim Yağci1, Yasin Taşdelen2, Yüksel Kivrak3. 1. Kars Harakani State Hospital, Psychiatry Clinic, Kars, Turkey. 2. Aydın State Hospital, Psychiatry Clinic, Aydın, Turkey. 3. Department of Psychiatry, Kafkas University Medical Faculty, Kars, Turkey.
Abstract
INTRODUCTION: The aim was to investigate the relation between sociodemographic features, anxiety, depression, sleep quality, childhood trauma experiences, and quality of life and bruxism determining the risk factors in people with bruxism. METHODS: A total of 200 people were included in the study. Of the patients, 100 were diagnosed with bruxism and 100 were included in the control group. Sociodemographic Data Form, Hospital Anxiety Depression Scale (HAD), The Pittsburgh Sleep Quality Index (PSQI), Childhood Trauma Scale (CTS), Short Form-36 Quality of Life Scale (SF-36) were used. RESULTS: While there was no significant difference between the case group and the control group in terms of age, gender, marital status, and working status, there was a significant difference between educational levels. When the groups were compared a significant difference was found with regard to HAD-A (p<0.05), HAD-D (p<0.01), PSQI (p<0.01) and CTS (p<0.05) scores. While a significant difference was found when KF-36 subscales were examined, with regard to Physical Function (p<0.01), Pain (p<0.05), Social Function (p<0.05) and Mental Health (p<0.01) scores, no significant difference was detected between the subscales of Role Strength (p>0.05), General Health (p>0.05), Vital Energy (p>0.05) and Emotional Role (p>0.05). Regression analysis shows, (PSQI), HAD-D CTS scores predicted bruxism. CONCLUSION: Higher depression scale scores, bad sleep quality, traumatic childhood experiences increase the risk for bruxism. Paying attention to the mental state of people diagnosed with bruxism in the treatment process and incorporating the psychiatrists in this process may increase the success rate of the treatment. Copyright:
INTRODUCTION: The aim was to investigate the relation between sociodemographic features, anxiety, depression, sleep quality, childhood trauma experiences, and quality of life and bruxism determining the risk factors in people with bruxism. METHODS: A total of 200 people were included in the study. Of the patients, 100 were diagnosed with bruxism and 100 were included in the control group. Sociodemographic Data Form, Hospital Anxiety Depression Scale (HAD), The Pittsburgh Sleep Quality Index (PSQI), Childhood Trauma Scale (CTS), Short Form-36 Quality of Life Scale (SF-36) were used. RESULTS: While there was no significant difference between the case group and the control group in terms of age, gender, marital status, and working status, there was a significant difference between educational levels. When the groups were compared a significant difference was found with regard to HAD-A (p<0.05), HAD-D (p<0.01), PSQI (p<0.01) and CTS (p<0.05) scores. While a significant difference was found when KF-36 subscales were examined, with regard to Physical Function (p<0.01), Pain (p<0.05), Social Function (p<0.05) and Mental Health (p<0.01) scores, no significant difference was detected between the subscales of Role Strength (p>0.05), General Health (p>0.05), Vital Energy (p>0.05) and Emotional Role (p>0.05). Regression analysis shows, (PSQI), HAD-D CTS scores predicted bruxism. CONCLUSION: Higher depression scale scores, bad sleep quality, traumatic childhood experiences increase the risk for bruxism. Paying attention to the mental state of people diagnosed with bruxism in the treatment process and incorporating the psychiatrists in this process may increase the success rate of the treatment. Copyright:
Authors: F Lobbezoo; J Ahlberg; K G Raphael; P Wetselaar; A G Glaros; T Kato; V Santiago; E Winocur; A De Laat; R De Leeuw; K Koyano; G J Lavigne; P Svensson; D Manfredini Journal: J Oral Rehabil Date: 2018-06-21 Impact factor: 3.837
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