부산대학교 도서관

Objectives: Clinical measures of periodontal disease such as attachment loss (CAL) and probing depth (PD) vary considerably between and within individuals with periodontitis and are known to be influenced by person‐level factors (e.g. age and race/ethnicity) as well as intraoral characteristics (e.g. tooth type and location). This study sought to characterize site‐level disease patterns and correlations using both person‐level and intraoral factors through a model‐based approach. Methods: This study used full‐mouth, six sites per tooth, periodontal examination data collected from 2301 Hispanic/Latino adults aged 60–74 years in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). The presence of site‐level CAL ≥3 mm and PD ≥4 mm was estimated using generalized estimating equations (GEE), explicitly modelling pairwise periodontal site correlations, while adjusting for number of teeth, sex and Hispanic/Latino background. Subsequently tooth‐ and tooth‐site patterns of intraoral CAL ≥3 mm and PD ≥4 mm were estimated and visualized in the HCHS/SOL population. Results: The findings showed that posterior sites had the highest odds of CAL ≥3 mm and PD ≥4 mm. Sites located in the interproximal space had higher odds of PD ≥4 mm but lower odds of CAL ≥3 mm than non‐interproximal sites. Mexicans had the lowest odds of CAL ≥3 mm among all Hispanic/Latino backgrounds. While Mexicans had lower odds of PD ≥4 mm than Central Americans and Cubans, they had higher odds than Dominicans and Puerto Ricans. Site‐level proportions and pairwise correlations of PD ≥4 mm were generally smaller than those of CAL ≥3 mm. Conclusions: The patterns of site‐level probabilities of clinical measures of periodontal disease can be defined based on tooth, site and individual‐level characteristics. Intraoral correlation patterns, while complex, are quantifiable. The risk factors for site‐level CAL ≥3 mm may differ from those of PD ≥4 mm. Likewise, participant risk factors for site‐level clinical measures of periodontal disease are distinct from those that affect individual‐level periodontitis prevalence. Future epidemiological investigations should consider model‐based approaches when examining site‐level disease probabilities to identify intra‐oral patterns of periodontal disease and make inferences about the larger population. [ABSTRACT FROM AUTHOR]