Association between periodontitis and depression severity - A cross-sectional study of the older population in Hamburg.

牙周炎与抑郁症严重程度之间的关联——汉堡老年人群的横断面研究

阅读:6
作者:Walther Carolin, Lieske Berit, Borof Katrin, Kühn Simone, Härter Martin, Löwe Bernd, Beikler Thomas, Heydecke Guido, Kuta Piotr, Seedorf Udo, Spinler Kristin, Gallinat Jürgen, Aarabi Ghazal
The aim of the current study is to investigate the association between periodontitis (exposure variable) and depression severity (outcome variable) in an older German population. We evaluated data from 6,209 participants (median age 62 years) of the Hamburg City Health Study (HCHS). The HCHS is a prospective cohort study and is registered at ClinicalTrial.gov (NCT03934957). Depression severity were assessed with the 9-item Patient Health Questionnaire (PHQ-9). Periodontal examination included probing depth, gingival recession, plaque index, and bleeding on probing. Descriptive analyses were stratified by periodontitis severity. Multiple linear regression models were adjusted for age, sex, diabetes, education, smoking, and antidepressant medication. Linear regression analyses revealed a significant association between log-transformed depression severity and periodontitis when including the interaction term for periodontitis * age, even after adjusting for age, sex, diabetes, education, smoking and antidepressant medication. We identified a significant association between severe periodontitis and elevated depression severity, which interacts with age. Additionally, we performed a linear regression model for biomarker analyses, which revealed significant associations between depression severity and severe periodontitis with log-transformed inflammatory biomarkers interleukin 6 (IL-6) and high-sensitivity C-reactive protein (hsCRP). In order to identify new therapeutic strategies for patients with depression and periodontal disease, future prospective studies are needed to assess the physiological and psychosocial mechanisms behind this relationship and the causal directionality.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。