Characterization of salivary hormones in freely cycling smokers and the relationship between dynamic patterns in hormone levels and smoking behavior

自由循环吸烟者唾液激素的特征以及激素水平动态模式与吸烟行为之间的关系

• 批准号: 9975169
• 负责人: Nathaniel Lee Baker
• 金额: $ 7.48万
• 依托单位: MEDICAL UNIVERSITY OF SOUTH CAROLINA
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-15 至 2021-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9975169
• 关键词: Abstinence; Characteristics; Cigarette; Clinical; Collection; Cues; Data; Differential Equation; Ecological momentary assessment; Environment; Estradiol; Estrogens; Female; Frequencies; Funding; Goals; Hormonal; Hormones; Link; Logistics; Longitudinal Studies; Luteal Phase; Mathematics; Measurement; Measures; Menstrual cycle; Menstruation; Methods; Modeling; Monte Carlo Method; Outcome; Outcomes Research; Ovarian hormone; Participant; Pattern; Pharmaceutical Preparations; Plasma; Play; Process; Progesterone; Reporting; Research; Role; Saliva; Salivary; Sampling; Smoke; Smoker; Smoking; Smoking Behavior; Specialized Center; Statistical Methods; Stress; Testing; Time; Uncertainty; United States National Institutes of Health; Variant; Withdrawal; Woman; addiction; base; cigarette smoking; craving; cue reactivity; design; experimental study; insight; mathematical methods; mathematical model; proliferative phase Menstrual cycle; response; sample collection; simulation; stress reactivity

Abstract This proposal seeks to establish characteristics of the mathematical models describing the progressions of salivary progesterone and estradiol hormone levels through the course of a woman's menstrual cycle. Specifically, time and magnitude of peak hormone velocities will be estimated using derivatives of the mathematical models developed. Large sample variances of these estimates will be obtained. Using these characteristics, Monte-Carlo simulations will be performed to determine the capacity of our models in estimating time and magnitude of the peak hormone rates. Simulations will include several realistic designs such as data from complete cycle (28 days), missing 10% at random and a truncated set of 14 contiguous days of measurements. The methods developed will be applied to data collected from a previous study with a primary focus of testing hypotheses regarding the impact of the characteristics of the models mentioned above, on reactivity to stressful and smoking related cues and daily smoking behavior.

抽象的 该建议旨在建立描述数学模型的特征 在女性月经周期的过程中，唾液孕酮和雌二醇激素水平。 具体而言，将使用峰值激素速度的时间和幅度使用 开发了数学模型。将获得这些估计值的大样本差异。使用这些 特征，将进行蒙特卡洛模拟，以确定我们的模型的能力 估计峰激素速率的时间和幅度。模拟将包括几种现实设计 例如完整周期的数据（28天），随机缺失10％，一组截短的14个连续 测量日。开发的方法将应用于先前研究收集的数据 测试假设有关上述模型特征的影响的主要重点 关于与压力和吸烟相关的提示和日常吸烟行为的反应性。