Cuifeng Zhang, Lingli Qu, Yanhua Huang, Lan Tang, Jie Ma, Kaipeng Xie, Huaying Wu
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A logistic regression model was used to calculate the odds ratio (OR) and 95% confidence interval (CI) of the association between ASVs and the risk of severe depression symptoms. Based on Bray-Curtis dissimilarity of beta diversity, analysis of similarity (ANOSIM) is used to assess the dissimilarity between different depression groups.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>A total of 1497 participants were included, with 111 (7.41%) meeting the criteria for severe depression. After adjusting for confounders, we found that ASVs were negatively correlated with PHQ-9 scores (β = −0.008, <i>p</i> = 0.014). The RCS plot showed a linear relationship (<i>p</i>\n <sub>non-linear</sub> = 0.232). Logistic regression showed that ASVs were associated with a decreased risk of severe depression symptoms (OR = 0.992, <i>p</i> = 0.003). Analysis of β diversity identified a statistically significant difference (R = 0.087, <i>p</i> = 0.003). Additionally, we developed a nomogram to estimate an individual's risk of severe depression symptoms.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Alpha diversity of the oral microbiota was associated with a reduced risk of severe depression symptoms, which could contribute to the early identification and intervention of severe depression.</p>\n </section>\n </div>","PeriodicalId":16913,"journal":{"name":"Journal of public health dentistry","volume":"85 3","pages":"252-260"},"PeriodicalIF":1.5000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association of Oral Microbiome Diversity With Depression Status: NHANES 2009–2012\",\"authors\":\"Cuifeng Zhang, Lingli Qu, Yanhua Huang, Lan Tang, Jie Ma, Kaipeng Xie, Huaying Wu\",\"doi\":\"10.1111/jphd.12671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>To investigate the relationship between oral microbial diversity and depression symptoms in the U.S. population.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We utilized the US National Health and Nutrition Examination Survey (NHANES; 2009–2012) to assess the association between oral microbial diversity and depression symptoms. 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引用次数: 0
摘要
目的:调查美国人群口腔微生物多样性与抑郁症状之间的关系。方法:我们利用美国国家健康与营养检查调查(NHANES;2009-2012)评估口腔微生物多样性与抑郁症状之间的关系。PHQ-9分值为15分的临界值被用来定义严重的抑郁症状。我们进行了多元线性回归来探讨扩增子序列变异(asv)与PHQ-9评分的关系。引入限制三次样条(RCS)模型来描述剂量-反应关系。采用logistic回归模型计算asv与重度抑郁症状风险之间的比值比(OR)和95%置信区间(CI)。基于beta多样性的Bray-Curtis差异,采用相似性分析(ANOSIM)来评估不同抑郁组之间的差异。结果:共纳入1497例受试者,其中111例(7.41%)符合重度抑郁标准。在调整混杂因素后,我们发现asv与PHQ-9评分呈负相关(β = -0.008, p = 0.014)。RCS图显示线性关系(p非线性= 0.232)。Logistic回归分析显示,asv与重度抑郁症状发生风险降低相关(OR = 0.992, p = 0.003)。β多样性分析显示差异有统计学意义(R = 0.087, p = 0.003)。此外,我们开发了一个nomogram来评估个体出现严重抑郁症状的风险。结论:口腔微生物群α多样性与严重抑郁症状风险降低相关,有助于早期识别和干预严重抑郁症。
Association of Oral Microbiome Diversity With Depression Status: NHANES 2009–2012
Objectives
To investigate the relationship between oral microbial diversity and depression symptoms in the U.S. population.
Methods
We utilized the US National Health and Nutrition Examination Survey (NHANES; 2009–2012) to assess the association between oral microbial diversity and depression symptoms. A cut-off PHQ-9 score of 15 was used to define severe depression symptoms. We conducted the multivariate linear regression to explore the association of the amplicon sequence variants (ASVs) with PHQ-9 scores. A restricted cubic spline (RCS) model was introduced to curve the dose-response relationship. A logistic regression model was used to calculate the odds ratio (OR) and 95% confidence interval (CI) of the association between ASVs and the risk of severe depression symptoms. Based on Bray-Curtis dissimilarity of beta diversity, analysis of similarity (ANOSIM) is used to assess the dissimilarity between different depression groups.
Results
A total of 1497 participants were included, with 111 (7.41%) meeting the criteria for severe depression. After adjusting for confounders, we found that ASVs were negatively correlated with PHQ-9 scores (β = −0.008, p = 0.014). The RCS plot showed a linear relationship (pnon-linear = 0.232). Logistic regression showed that ASVs were associated with a decreased risk of severe depression symptoms (OR = 0.992, p = 0.003). Analysis of β diversity identified a statistically significant difference (R = 0.087, p = 0.003). Additionally, we developed a nomogram to estimate an individual's risk of severe depression symptoms.
Conclusions
Alpha diversity of the oral microbiota was associated with a reduced risk of severe depression symptoms, which could contribute to the early identification and intervention of severe depression.
期刊介绍:
The Journal of Public Health Dentistry is devoted to the advancement of public health dentistry through the exploration of related research, practice, and policy developments. Three main types of articles are published: original research articles that provide a significant contribution to knowledge in the breadth of dental public health, including oral epidemiology, dental health services, the behavioral sciences, and the public health practice areas of assessment, policy development, and assurance; methods articles that report the development and testing of new approaches to research design, data collection and analysis, or the delivery of public health services; and review articles that synthesize previous research in the discipline and provide guidance to others conducting research as well as to policy makers, managers, and other dental public health practitioners.