College of Nursing, The University of Iowa, IA 52242, USA.
Biol Res Nurs. 2012 Jan;14(1):16-26. doi: 10.1177/1099800410396356. Epub 2011 Feb 28.
Law enforcement officers suffer higher morbidity and mortality rates from all causes than the general population. Cardiovascular disease (CVD) accounts for a significant portion of the excess illness, with a reported prevalence as high as 1.7 times that of the general population. To determine which occupational hazards cause this increased risk and morbidity, it is imperative to study law enforcement officers before they retire. The long-range goal of our research is to reduce the incidence of CVD-related illness and death among aging law enforcement officers. The purpose of the present study was to measure pro- and anti-atherogenic inflammatory markers in blood samples from law enforcement officers (n = 71) and determine what types of occupation-related stress correlate with differences in these markers. For each outcome variable of interest, we developed separate regression models. Two groups of potential predictors were examined for inclusion in the models. Selected measures of stress were examined for inclusion in the models, in addition to general covariates, such as gender, ethnicity, years in law enforcement, and body mass index. Our results revealed statistically significant relationships between several physiologic variables and measures of stress.
执法人员因各种原因导致的发病率和死亡率均高于普通人群。心血管疾病（CVD）是导致发病率过高的主要原因之一，据报道其患病率是普通人群的 1.7 倍。为了确定哪些职业危害会导致这种风险和发病率增加，在执法人员退休前对其进行研究是至关重要的。我们研究的长期目标是降低老年执法人员中与 CVD 相关的疾病和死亡的发生率。本研究的目的是测量执法人员血液样本中的促动脉粥样硬化和抗炎性标志物，并确定哪些与职业相关的压力类型与这些标志物的差异相关。对于每个感兴趣的结果变量，我们都开发了单独的回归模型。我们检查了两组潜在的预测因素，以将其纳入模型中。除了性别、种族、执法年限和体重指数等一般协变量外，我们还选择了一些压力测量指标纳入模型中。我们的研究结果揭示了几个生理变量和压力测量指标之间存在统计学上显著的关系。
