A comprehensive smoking index to model smoking history

用于模拟吸烟史的综合吸烟指数

• 批准号: 6966794
• 负责人: THOMAS DIETRICH
• 金额: $ 12.11万
• 依托单位: BOSTON UNIVERSITY MEDICAL CAMPUS
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2007-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6966794
• 关键词: case history; clinical research; computer simulation; data collection methodology /evaluation; epidemiology; human data; model; model design /development; oral health; smoking; tobacco abuse; tooth loss

DESCRIPTION (provided by applicant): Cigarette smoking is a strong and common risk factor for alveolar bone loss and tooth loss as well as various other chronic diseases. Smoking is a complex exposure with several important characteristics that are difficult to account for in epidemiologic models of disease. The long-term objective of this project is to establish a comprehensive smoking index (CSI) that accounts for smoking intensity, duration and time since cessation in a single variable as a function of its biological effect on disease risk over time. Hypothesis: The CSI can both accurately and efficiently model smoking history in models of prevalent and incident alveolar bone loss and tooth loss and is an efficient and accurate tool to adjust for confounding by smoking in models on the relationship between periodontal disease and risk for cardiovascular diseases. Methods: This hypothesis will be tested using existing data from 1,231 subjects enrolled in the VA Dental Longitudinal Study (DLS), an established cohort of men with triennial comprehensive clinical and radiographic follow-ups over 30 years. Measures of radiographic alveolar bone loss, tooth loss, smoking history, clinical periodontal variables, medical status (including incident cardiovascular disease) and other covariates have been updated regularly over the follow-up period. In addition, tooth loss will be analyzed using existing data from 51,529 subjects in the Health-Professionals Follow-up Study (HPFS), an established cohort of men with biennial follow-up over 16 years. Cross-sectional and longitudinal analyses using regression models that adjust for known risk factors and potential confounders will be carried out. The novel CSI will be compared to various conventional approaches in models of alveolar bone loss and tooth loss, as well as in models on the association between periodontal bone loss and cardiovascular disease. Significance: The CSI may be an efficient way to capture different characteristics of smoking in a single variable to model smoking history in epidemiologic models of chronic disease.

描述（由申请人提供）：吸烟是肺泡骨质流失和牙齿脱落以及其他各种慢性疾病的强大而常见的危险因素。吸烟是一种复杂的暴露，具有几个重要特征，在流行病学模型中难以说明。该项目的长期目的是建立一个全面的吸烟指数（CSI），该指数是自动在单个变量中停止以来的吸烟强度，持续时间和时间，这是其生物学对疾病风险随着时间的影响的函数。 假设：CSI可以准确有效地模拟普遍和入射肺泡骨质流失和牙齿脱落的模型中的吸烟史，并且是一种有效，准确的工具，可以通过在模型中吸烟与牙周疾病与心血管疾病风险之间的关系进行混淆。 方法：该假设将使用来自VA牙科纵向研究（DLS）的1,231名受试者的现有数据进行检验，VA牙科纵向研究（DLS）是一组三年期综合临床和放射学随访的男性，超过30年。放射线牙槽骨质流失，牙齿脱落，吸烟史，临床牙周变量，医疗状况（包括入射心血管疾病）和其他 在随访期间，已定期更新协变量。此外，将使用来自健康专业人士随访研究（HPFS）中的51,529名受试者的现有数据（HPFS）进行分析，这是一群在16年以上的两年期随访的男性。将使用调整已知风险因素和潜在混杂因素的回归模型进行横截面和纵向分析。在肺泡骨质流失和牙齿脱落的模型以及牙周骨质流失与心血管疾病之间关联的模型中，将将新颖的CSI与各种常规方法进行比较。 意义：CSI可能是捕获单个变量中吸烟不同特征的一种有效方法，以模拟慢性疾病的流行病学模型中的吸烟史。