Evidence map›Paper›PMID 40361086›Full record

ArticleBMC oral health2025

Association of periodontitis, tooth loss, and self-rated oral health with circadian syndrome in US adults: a cross-sectional population study.

Yibo Li, Yuhao Liu, Tao Yin, Mi He, Changyun Fang, Xiong Tang, Shifang Peng, Yundong Liu

Abstract read
In one paragraph

Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yibo Li *Department of Orthodontics, Changsha Stomatological Hospital, Changsha, Hunan, 410004, P. R. China.
Yuhao Liu *Changjun Bilingual School of Changsha, Changsha, Hunan, 410013, P. R. China.
Tao YinChangsha Health Vocational College, Changsha, Hunan, 410605, P. R. China.
Mi HeDepartment of Stomatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P. R. China.
Changyun FangDepartment of Stomatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P. R. China.
Xiong TangDepartment of General Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P. R. China.
Shifang PengDepartment of Infectious Diseases, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, P. R. China. pengsfxy@sina.com.
Yundong LiuHealth Management Center, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, P. R. China. lydxjtu@163.com.

Funding

Fundamental Research Funds for Central Universities of the Central South University 2021zzts1035Graduate Innovation Project of Central South University 1053320220341National Natural Science Foundation of China 8170041519
6 · The paper itself

Abstract

backgroundThis study was to investigate associations of periodontitis, tooth loss and self-rated oral health with circadian syndrome.

methodsData regarding periodontitis, dentition, oral health questionnaire and circadian syndrome of 30-85 years old participants from US National Health and Nutrition Examination Survey 2005-2020 were analyzed. Periodontitis questions for periodontitis and dentition status were validated. Weighted multivariable logistic regression analyses were used.

resultsWeighted prevalence of circadian syndrome and stage II-IV periodontitis was 33.29% and 88.87%, respectively. When compared with stage I periodontitis, stage II periodontitis was significantly associated with greater circadian syndrome prevalence after adjustment (odds ratio (OR) and 95% confidence interval (CI): Stage II: 1.35 (1.03, 1.76), P = 0.032; Stage III: 1.30 (0.97, 1.73), P = 0.069; Stage IV: 1.17 (0.82, 1.65), P = 0300). Stage II periodontitis was significantly associated with greater prevalence of lower high-density lipoprotein cholesterol (HDL) and elevated triglycerides and stage III and stage IV periodontitis were significantly associated with greater hypertension prevalence. A 1 tooth increase in the number of missing teeth was associated with a 1% increase in circadian syndrome and its components of obesity, elevated fasting plasma glucose (FPG) and short sleep. Poor or fair self-rated oral health showed a specificity of > 70% for periodontitis and lack of functional dentition. Meanwhile, poor or fair self-rated oral health had relatively higher levels of sensitivity for stage II-IV periodontitis (35%), stage III-IV periodontitis (46%), stage IV periodontitis (60%) and lacking functional dentition (56%). When compared to excellent self-rated oral health, good, fair and poor self-rated oral health were significantly associated with higher circadian syndrome prevalence (OR and 95% CI: Very good: 1.13 (0.97, 1.32), P = 0.120; Good: 1.34 (1.14, 1.57), P < 0.001; Fair: 1.41 (1.16, 1.71), P = 0.001; Poor: 1.63 (1.32, 2.03), P < 0.001). Additionally, participants with worse self-rated oral health had significantly higher prevalence of elevated FPG, hypertension, low HDL, elevated triglycerides, short sleep and depression.

conclusionsPeriodontitis, tooth loss and worse self-rated oral health were associated with circadian syndrome in US adults. Self-rated oral health may be a simple question to indicate oral and systemic health.

Indexed as

Chronobiology DisordersOral HealthPeriodontitisTooth LossAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceSelf ReportUnited StatesCircadian syndromeDepressionNational Health and Nutrition Examination Survey (NHANES)PeriodontitisSelf-rated oral healthSleep hourTooth loss

Identifiers

PMID40361086
PMCPMC12070748

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.