Two-year incidence of tooth loss among South Australians aged 60+ years.
Two-year incidence of tooth loss among South Australians aged 60+ years.
复制标题
南澳大利亚 60 岁人群两年牙齿脱落发生率。
DOI：
10.1111/j.1600-0528.1997.tb01734.x
复制
发表时间：
1997
影响因子：
2.3
通讯作者：
Spencer,AJ
中科院分区：
文献类型：
--
作者：
Slade,GD;Gansky,SA;Spencer,AJ
牙齿脱落会降低口腔功能和生活质量，国家健康目标旨在降低人口牙齿脱落水平。ObjectivesThe purpose of this study was to determine tooth loss incidence and predictors of tooth loss among older adults in南澳.MethodsData were obtained from a cohort study of a分层随机抽样的社区居住有齿人年龄60+ years.在基线时对911人进行了访谈和口腔检查，其中693人（76.1%）在2年后进行了访谈和口腔检查。计算人群亚组的发病率和相对危险度，并采用多变量logistic回归构建危险度预测模型。一种方法被开发来计算95%的置信区间（95%CI）的相对风险（RR）从逻辑回归模型使用泰勒级数approximation.ResultsSome 19.5%（95%CI = 15.4 - 23.6%）的人失去了一个或多个牙齿在2年。男性，最近拔牙的人，不经常刷牙的人，吸烟者和出生在澳大利亚以外的人有显著（P<0.05）更大的牙齿脱落风险。牙齿缺失的基线临床预测因素包括更多的缺失牙、残留牙根、根面龋坏、牙周袋和牙周退缩。在控制基线临床预测因素的多变量模型中，（RR = 2.55，95% C1=1.48 - 4.40）和当前吸烟者（RR = 2.06，95% CI=0.92 - 4.62）与非吸烟者相比，吸烟者的牙齿脱落风险也同样升高。结论：该人群的研究结果表明，吸烟史通过其他机制导致牙齿脱落，临床疾病的过程。
Tooth loss diminishes oral function and quality of life, and national health targets aim to reduce population levels of tooth loss.ObjectivesThe purpose of this study was to determine tooth loss incidence and predictors of tooth loss among older adults in South Australia.MethodsData were obtained from a cohort study of a stratified random sample of community‐dwelling dentate people aged 60+ years. Interviews and oral examinations were conducted among 911 individuals at baseline and among 693 of them (76.1%) 2 years later. Incidence rates and relative risks were calculated for population subgroups and multivariate logistic regression was used to construct risk prediction models. A method was developed to calculate 95% confidence intervals (95% CI) for relative risks (RR) from logistic regression models using a Taylor series approximation.ResultsSome 19.5% (95% CI = 15.4‐23.6%) of people lost one or more teeth during the 2 years. Men, people with a recent extraction, people who brushed their teeth infrequently, smokers and people born outside Australia had significantly (P<0.05) greater risk of tooth loss. Baseline clinical predictors of tooth loss included more missing teeth, retained roots, decayed root surfaces, periodontal pockets and periodontal recession. In a multivariate model that controlled for baseline clinical predictors, former smokers (RR = 2.55, 95% C1=1.48‐4.40) and current smokers (RR = 2.06, 95% CI=0.92‐4.62) had similarly elevated risks of tooth loss compared with non‐smokers.ConclusionsThe findings from this population suggest that a history of smoking contributes to tooth loss through mechanisms in addition to clinical disease processes alone.
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影响因子：
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作者：
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DOI：
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影响因子：
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DOI：
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发表时间：
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影响因子：
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作者：
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