메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Objective: Periodontal disease is an inflammatory condition with a diverse aetiology that affects the gums and tooth supporting structures and, if untreated, can lead to tooth loss, dental implant loss and a reduced quality of life and self-confidence. Recent research has found that pregnant women with male foetuses experience more inflammation than those with female foetuses. Furthermore, periodontal disease has been linked to poor birth outcomes, emphasizing the significance of this research. Determine the extent of periodontal change in pregnant women in relation to foetal sex. Methods: We conducted an analytical cross-sectional study from January 10th to May 30th 2022, recruiting participants from the YCH, the FMBS's laboratory of dental implantology and periodontology, and analysing samples at the YUTH Biochemistry laboratory. The sera samples were then used to analyse hormones (Testosterone and Progesterone) using the ELISA competitive and sandwich methods. Results: The average age was 30 years old, and the average gestational age was 31 weeks. In both groups, we found a 58% prevalence of PD, with 30% of the 58% being in women carrying male foetuses. Testosterone levels were higher in women carrying male foetuses than in women carrying female foetuses. Between people with periodontal disease and those who did not, there was a moderately strong relationship (r=0.552) and a statistically significant difference (p=0.042) in testosterone levels. Conclusion: Pregnancy increases the risk of periodontal disease. During pregnancy, the sex hormone progesterone had no significant association with the development of periodontal disease. Finally, women carrying male foetuses had a higher prevalence of periodontal disease than women carrying female foetuses.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0