F. 전신적 위험인자들이 치주질환에 미치는 상대적인 영향력 분석
Ⅴ. 결론
의사결정나무분석에서 남성의 경우 수축기 혈압, 이완기 혈압, 당화혈색소, GOT가 주요 영향을 주는 변수였으며 이 변수들이 각 연령대에 따라서 상대적 으로 다른 영향력을 끼쳤다. 30대에서는 GOT, 40대에서는 당화혈색소, 50대 이상에서는 수축기 혈압 어떻게 되는가에 따라서 치주질환 예측확률이 달라짐 을 알 수 있었다. 여성의 경우 수축기 혈압, 이완기 혈압, 체질량지수, 당화혈 색소, 요잠혈, GOT 등이 주요 영향을 주는 변수였으며 이 변수들이 각 연령대 에 따라서 상대적을 다른 영향력을 끼쳤다. 20대, 30대, 50대에서는 체질량 지 수, 40대에서는 당화혈색소, 60세 이상에서는 이완기 혈압이 치주질환 예측확 률이 달라지는 주요 변수였다.
본 연구에서는 전신적 위험인자들과 치주질환과의 관련성과 전신적 위험인 자들이 치주질환에 미치는 상대적인 영향력을 알아보았다. 본 연구는 “치주 질환에 영향을 주는 전신적 위험인자가 있다”라는 단순한 차원에서 나아가
“개인의 전신상태가 어떤가에 따라 치주질환을 일으킬 수 있는 취약한 전신 적 위험인자가 다르게 존재한다” 라는 가설을 설정하였고 의사결정나무분석 을 이용한 가설검정 결과 통계적으로 유의하였다. 따라서 “각기 다른 연령대 에서 치주질환에 걸릴 위험률을 높이는 전신적 위험인자들이 다르다”는 것을 확인할 수 있었다.
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부록 1. 기관연구윤리심의위원회(IRB) 심의면제 확인서
[ ABSTRACT ]
General Risk Factors Related with Periodontitis : Based on the Fifth and Sixth Korean National Health and
Nutrition Examination Survey
Ji-hye Yun Graduate School of Public Health Ajou University
(Supervised by Professor Seung-Il Song, D.D.S., M.S.D., Ph.D.)
Purpose: This study examines the association of general risk factors and periodontitis and recognizes the relative influence of general risk factors.
Participants & Methods: Using the National Health and Nutrition Survey, the total number of people who received 29,298 examinations and oral examinations were collected among 39,964 persons, and the total number of people aged 20 to over was estimated to be 26,099. Conduct a chi-square test and a t-test by dividing the characteristics of the population, oral behavior, systemic disease, and general risk factors. Based on the analysis
results, the logistic regression analysis and regression tree analysis were conducted using the general risk factors associated with periodontitis. All data analysis of this study used the IBM SPSS Statistical 21.0 Program.
Results: According to the statistical analysis, the lower levels of income and education in males and females aged 20 and older had a higher percentage of the periodontitis population(
p
<0.001). In oral behavior, With fewer teeth and fewer oral hygiene items, the percentage of people suffering from periodontitis has increased(p
<0.001). Males who smoke had high rates of periodontitis(p
<0.001). However, Females were not statistically significant(p
=0.09). The general risk factor associated with periodontitis was the SBP, DBP, HbA1C, GOT, BUN, Urine blood, Proteinuria for males(p
<0.001). For females, SBP, DBP, HbA1C, BMI, GOT, GPT, BUN, Urine glucose, Urine blood was related to periodontitis(p
<0.001). The logistic regression analysis using the general risk factors showed that the HbA1c level was the highest in males(OR=1.27), followed by Urine blood (OR=1.24), age (OR=1.06), DBP (OR = 1.02), BMI (OR = 1.02), and GOT (OR = 1.01).Similarly, in females, HbA1c showed the highest odds ratio (OR = 1.17), followed by age (OR = 1.05), BMI (OR = 1.05) and DBP (OR = 1.01).
Regression tree analysis showed that general risk factors affecting the prevalence of periodontitis were different according to the ages of both males and females.
Conclusions: The study showed the relative influence of general risk factors and associated with periodontitis and general risk factors. In each age group,
periodontitis were different. Therefore, the results of the study could be used as a basis for building oral health care systems, accompanied by whole-body health care management, according to the age group.
Keywords: General risk factors, Systemic disease, Periodontitis, Regression tree