Observational studyJDR clinical and translational research2026
Mapping Tooth Loss at the Tooth Level: Associations with Demographic, Health, and Behavioral Factors.
Observational study in JDR clinical and translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Interpreting Population Survey Measures of Periodontal Disease Experience Under Severity-Dependent Tooth Loss.Journal of clinical periodontology · 2026Article
- Exploring Associations Between Frequency and Methods of Cannabis Use and Tooth Loss.Oral health & preventive dentistry · 2026Article
- Smoking Cigarettes and Tooth Loss in Adults: A Population-Based Analysis.Journal of clinical medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis cross-sectional observational study analyzed patterns of tooth loss across different population groups using National Health and Nutrition Examination Survey (NHANES) data from 2009 to 2018, aiming to identify the teeth most at risk and the key contributing factors.
methodsData from 24,945 adults aged 20 y and older were analyzed. Tooth presence/absence was modeled in relation to age, income, education, smoking history, and glycemic status. To improve robustness, missing covariate data were imputed using k-nearest neighbors, and survey weights were applied in regression analyses to account for NHANES's complex sampling design. A 2-step analytic approach was used: (1) survey-weighted quasi-Poisson regression estimated associations with total tooth count and (2) unweighted generalized estimating equations identified explanatory variables associated with individual tooth loss, accounting for intraoral clustering. Dental implants were excluded.
resultsTooth-level models suggested distinct intraoral and demographic patterns. Males retained more posterior teeth but lost more mandibular incisors than females did. Older adults (≥60 y) exhibited markedly higher loss in mandibular anterior and premolar regions. High-income and high-education participants retained more teeth overall but were more likely to lack first premolars, likely reflecting orthodontic extractions. Smoking and diabetes were associated with anterior tooth loss, especially in visible, functionally important regions. Glycemic control showed a clear gradient, with low-normal HbA1c levels protective in posterior sites.
conclusionsTooth-level modeling suggested anatomically and socially patterned vulnerabilities often masked in whole-mouth analyses. Findings underscore the need for site-specific prevention strategies that address biological risk and structural inequity, advancing more equitable approaches to oral health care and policy.Knowledge Transfer Statement:This study identified which specific teeth are most at risk of loss across age, health, and socioeconomic groups. Understanding these tooth-level patterns can help clinicians tailor preventive care to vulnerable patients, guide patient education, and inform public health strategies that target oral health disparities. These findings support more precise, equitable dental care to help people keep their natural teeth longer.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.