성인의 인구사회학적 특성과 우울증 및 치주질환에 관한 연구
Study on the Demographic Characteristics of Adults, Depression and Community Periodontal Index
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Objectives: This study aimed to investigate the relationship between demographic characteristics, depression, and community periodontal index. Data of 6,756 adults over the age of 20, obtained from the 7th (2016–2018) National Health and Nutrition Examination Survey representing Korea, were analyzed. Methods: Data were analyzed using the SPSS 26.0 statistical package program for frequency analysis, cross-analysis, t-test, one-way ANOVA, and multiple regression analysis for inter-group comparison. Results: Demographic characteristics were related to depression and CPI. The lower the depression, the higher the CPI; significant differences were found, suggesting that depression was not a CPI risk factor. The explanatory power of this model was 20%. Conclusions: Lower depression is associated with higher CPI, indicating that there was no relationship between depression and CPI, and that depression was not a CPI risk factor. However, since the relationship between the two diseases was confirmed in a study with a small number of depression cases, it is difficult to exclude the possibility that depression is a risk factor for CPI. Thus, management training is required.
Abstract
Objectives: This study aimed to investigate the relationship between demographic characteristics, depression, and community periodontal index. Data of 6,756 adults over the age of 20, obtained from the 7th (2016–2018) National Health and Nutrition Examination Survey representing Korea, were analyzed. Methods: Data were analyzed using the SPSS 26.0 statistical package program for frequency analysis, cross-analysis, t-test, one-way ANOVA, and multiple regression analysis for inter-group comparison. Results: Demographic characteristics were related to depression and CPI. The lower the depression, the higher the CPI; significant differences were found, suggesting that depression was not a CPI risk factor. The explanatory power of this model was 20%. Conclusions: Lower depression is associated with higher CPI, indicating that there was no relationship between depression and CPI, and that depression was not a CPI risk factor. However, since the relationship between the two diseases was confirmed in a study with a small number of depression cases, it is difficult to exclude the possibility that depression is a risk factor for CPI. Thus, management training is required.
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