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Predictors of Tooth Loss in Two US Adult Populations

Identifieur interne : 007933 ( Main/Exploration ); précédent : 007932; suivant : 007934

Predictors of Tooth Loss in Two US Adult Populations

Auteurs : Lynn B. Copeland ; Elizabeth A. Krall ; L. Jackson Brown ; Raul I. Garcia [États-Unis] ; Charles F. Streckfus

Source :

Journal of Public Health Dentistry [ 0022-4006 ] ; 2004-03.

RBID : ISTEX:5C402C57BE09F66EB379A796D5DCA4417B11174B

Descripteurs français

Wicri :
- topic : Médecine dentaire.

English descriptors

Abstract

Objectives: This study determines tooth loss rate over a 10‐year period and identifies predictors of tooth loss in two separate US adult longitudinal study populations. Methods: Subjects from the Baltimore Longitudinal Study of Aging (BLSA), consisting of 47 men and 47 women, ages ranging from 30 to 69 years, were compared to subjects from the VA Dental Longitudinal Study (VADLS) in Boston, MA, consisting of 481 men in the same age range. Baseline and follow‐up examinations were performed on each cohort over a 10‐year period. Using multivariate regression models, significant predictors of tooth loss were identified. Results: A mean rate of tooth loss of 1.5 teeth lost per 10 years was noted in the VADLS cohort compared to 0.6 teeth lost per 10 years in the BLSA (P<.001). Combining subjects from both populations, significant predictors of tooth loss were baseline values of: percent of teeth with restorations, mean probing pocket depth score, age, tobacco use, alcohol consumption, number of teeth present, and male sex. However, the set of significant predictor variables differed between the two populations and sexes. In BLSA men, number of teeth present, percent of teeth with restorations, mean probing pocket depth score, and alcohol consumption, but not age, were significant, while in BLSA women, only age was a significant predictor. Conclusions: Over a 10‐year period, the incidence of tooth loss, the rates of tooth loss, and the predictors of tooth loss were found to vary by population and by sex. These results illustrate the limits of generalizing tooth loss findings across different study cohorts and indicate that there may exist important differences in risk factors for tooth loss among US adult populations.

Url:

https://api.istex.fr/document/5C402C57BE09F66EB379A796D5DCA4417B11174B/fulltext/pdf

DOI: 10.1111/j.1752-7325.2004.tb02723.x

Affiliations:

États-Unis

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Le document en format XML

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<term>Blsa</term>
<term>Blsa population</term>
<term>Blsa populations</term>
<term>Blsa subjects</term>
<term>Blsa women</term>
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<term>Longitudinal study</term>
<term>Massachusetts veterans epidemiology research</term>
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<term>Models regression</term>
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<term>Poisson distribution</term>
<term>Predictive factors</term>
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<term>Predictor variables</term>
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<term>Public health dentistry</term>
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<term>Significant predictors</term>
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<term>Study baseline</term>
<term>Study population</term>
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<term>Tooth loss</term>
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<term>Available income</term>
<term>Baseline</term>
<term>Blsa</term>
<term>Blsa population</term>
<term>Blsa populations</term>
<term>Blsa subjects</term>
<term>Blsa women</term>
<term>Boston university goldman school</term>
<term>Caries</term>
<term>Carious teeth</term>
<term>Cohort</term>
<term>Community dent</term>
<term>Complete tooth loss</term>
<term>Deepest site</term>
<term>Dent</term>
<term>Dent assoc</term>
<term>Dental caries</term>
<term>Dental medicine</term>
<term>Dental services</term>
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<term>Education level</term>
<term>Full edentulism</term>
<term>Gingival</term>
<term>Gingival assessments</term>
<term>Gingival index score</term>
<term>Higher rate</term>
<term>Income level</term>
<term>Independent variables</term>
<term>Index teeth</term>
<term>Individual tooth loss</term>
<term>Information center</term>
<term>Initial examination</term>
<term>Initial number</term>
<term>Interaction terms</term>
<term>Large part</term>
<term>Longitudinal</term>
<term>Longitudinal analysis</term>
<term>Longitudinal studies</term>
<term>Longitudinal study</term>
<term>Massachusetts veterans epidemiology research</term>
<term>Masticatory function</term>
<term>Models regression</term>
<term>More teeth</term>
<term>Oral health</term>
<term>Oral physiology component</term>
<term>Other factors</term>
<term>Other variables</term>
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<term>Periodontal disease</term>
<term>Pocket depth</term>
<term>Pocket depth score</term>
<term>Pocket depths</term>
<term>Poisson distribution</term>
<term>Predictive factors</term>
<term>Predictor</term>
<term>Predictor variables</term>
<term>Public health dent</term>
<term>Public health dentistry</term>
<term>Regression coefficients</term>
<term>Risk factors</term>
<term>Significant predictor</term>
<term>Significant predictors</term>
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<term>Study baseline</term>
<term>Study population</term>
<term>Subject characteristics</term>
<term>Teeth number</term>
<term>Third molars</term>
<term>Time interval</term>
<term>Tooth</term>
<term>Tooth loss</term>
<term>Tooth loss rate</term>
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<front><div type="abstract">Objectives: This study determines tooth loss rate over a 10‐year period and identifies predictors of tooth loss in two separate US adult longitudinal study populations. Methods: Subjects from the Baltimore Longitudinal Study of Aging (BLSA), consisting of 47 men and 47 women, ages ranging from 30 to 69 years, were compared to subjects from the VA Dental Longitudinal Study (VADLS) in Boston, MA, consisting of 481 men in the same age range. Baseline and follow‐up examinations were performed on each cohort over a 10‐year period. Using multivariate regression models, significant predictors of tooth loss were identified. Results: A mean rate of tooth loss of 1.5 teeth lost per 10 years was noted in the VADLS cohort compared to 0.6 teeth lost per 10 years in the BLSA (P<.001). Combining subjects from both populations, significant predictors of tooth loss were baseline values of: percent of teeth with restorations, mean probing pocket depth score, age, tobacco use, alcohol consumption, number of teeth present, and male sex. However, the set of significant predictor variables differed between the two populations and sexes. In BLSA men, number of teeth present, percent of teeth with restorations, mean probing pocket depth score, and alcohol consumption, but not age, were significant, while in BLSA women, only age was a significant predictor. Conclusions: Over a 10‐year period, the incidence of tooth loss, the rates of tooth loss, and the predictors of tooth loss were found to vary by population and by sex. These results illustrate the limits of generalizing tooth loss findings across different study cohorts and indicate that there may exist important differences in risk factors for tooth loss among US adult populations.</div>
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<name sortKey="Copeland, Lynn B" sort="Copeland, Lynn B" uniqKey="Copeland L" first="Lynn B." last="Copeland">Lynn B. Copeland</name>
<name sortKey="Krall, Elizabeth A" sort="Krall, Elizabeth A" uniqKey="Krall E" first="Elizabeth A." last="Krall">Elizabeth A. Krall</name>
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Predictors of Tooth Loss in Two US Adult Populations

Predictors of Tooth Loss in Two US Adult Populations

Source :

Descripteurs français

English descriptors

Abstract

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