EFFECTS OF BEHAVIORAL STRESS ON LIPIDS AND LIPOPROTEINS

该项目评估了慢性行为应激对脂质的影响， 脂蛋白和载脂蛋白在一个健康的男性，正常血脂 人口 它测试了模型的几种途径，提出慢性 行为压力具有这种效应（a）是由于健康状况的改变 行为，如体力活动，体重，饮食和营养 因素;（B）由于压力对脂质的直接影响;和（c）大多数 特别是在一个特别敏感的个体子集中。 为了验证这一 模型，本项目将利用慢性职业压力源，急性 实验室挑战、行为评估和饮食挑战。 在 此外，它将采用最先进的方法来衡量行为 变化，如饮食，体重和身体活动模式。 的 该项目将利用健康的中年男性谁是已知的样本， 可预见地经历高和低程度的慢性职业病 应力 受试者将分别参与三项健康行为 在慢性职业紧张程度较低的时期安排评估， 其次是高度慢性职业压力，并得出结论， 低慢性职业压力期。 在这些会议期间， 关于体力活动、饮食摄入、体重和 将收集其他几种健康行为。 最后一次会议将 最后是一个实验室会议， 身体挑战参与者，而脂质，脂蛋白， 正在评估载脂蛋白。 统计分析 假设驱动，旨在专门测试几个途径的 提出的模型。

This project assesses the effects of chronic behavioral stress on lipids, lipoproteins, and apolipoproteins in a healthy male, normolipidemic population. It tests several pathways of model proposing that chronic behavioral stress has this effect (a) because of alterations in health behaviors, such as physical activity, body weight, diet and nutritional factors; (b) because of direct effects of stress on lipids; and (c) most notably in a particularly sensitive subset of individuals. To test this model, this project will utilize a chronic occupational stressor, acute laboratory challenges, behavioral assessment, and a dietary challenge. In addition, it will employ state-of-the-art methods of measuring behavioral changes, such as diet, body weight, and physical activity patterns. The project will utilize a sample of health middle-aged males who are known to predictably experience both high and low degrees chronic occupational stress. Subjects will each participate in three health behavior assessments, scheduled during a period of low chronic occupational stress, followed by one of high chronic occupational stress, and concluding With a period of low chronic occupation stress. During these sessions, information regarding physical activity, dietary intake, body weight and several other health behaviors will be collected. The final session will conclude with a laboratory session designed to psychologically and physically challenge the participants, while lipids, lipoproteins, and apolipoproteins are being assessed. Statistical analyses are hypothesis-driven and designed to specifically test several pathways of the proposed model.