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引用次数: 0
摘要
背景:怀孕期间激素的变化及其对牙周健康的影响是有充分文献记载的。本研究旨在探讨多胎妊娠对牙周健康的潜在影响。材料和方法:我们的研究使用了NHANES关键部分的数据。收集了本研究的所有相关数据。我们的暴露变量是怀孕次数,结果变量是牙周病。怀孕次数分为一次、两次、三次、四次或更多。年龄、性别、种族/民族、教育程度、贫困/收入比、婚姻状况和其他变量。采用多元logistic回归模型评估多胎妊娠对牙周病的影响。结果:原始和多元logistic回归分析显示,没有一个变量与牙周炎的患病率显著相关。在单因素分析中,一次或两次怀孕的患者患牙周炎的几率更高(or为1.154,95% CI 0.748-1.779), or为1.464,95% CI 0.864-2.483)。然而,这些关联并没有达到统计学意义。结论:在本研究的限制范围内,胎次与牙周炎患病率之间没有明显的关系,纵向研究可能有必要深入研究任何潜在的关联。
Do more pregnancies increase the risk of periodontal disease?
Background: Hormonal changes in pregnancy and their induced effect on periodontal health are well documented. The present study is aimed at the potential repercussions of multiple pregnancies on periodontal health.
Materials and methods: Our study utilized data from key sections of the NHANES. All the pertaining and relevant data for the study is collected. Our exposure variable was the number of pregnancies, and the outcome variable was periodontal disease. The number of pregnancies is classified as one, two, three, four, or more. Age, gender, race/ethnicity, education, poverty/income ratio, marital status, and other variables. Multiple logistic regression models were employed to assess the impact of multiple pregnancies on periodontal disease.
Result: The crude and multiple logistic regression analyses revealed that none of the variables were significantly associated with the prevalence of periodontitis. In univariate analysis, patients with one or two pregnancies had higher odds of experiencing periodontitis (OR 1.154, 95% CI 0.748-1.779), (OR 1.464, 95% CI 0.864-2.483) respectively. However, these associations did not reach statistical significance.
Conclusion: Within the limitation of the study, there is no significant relationship between parity and the prevalence of periodontitis, the longitudinal study may be warranted to delve deeper into any potential associations.
F1000ResearchPharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍:
F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.