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Relationships Among Stress Measures Risk Factors and Inflammatory Biomarkers in Law Enforcement Officers

机译:执法人员的压力措施危险因素和炎症生物标志物之间的关系

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摘要

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.
机译:执法人员因各种原因遭受的发病率和死亡率均比普通人群更高。心血管疾病(CVD)在过量疾病中占很大比例,据报道患病率高达普通人群的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,必须在执法人员退休之前对其进行研究。我们研究的长期目标是减少老龄化执法人员中CVD相关疾病和死亡的发生率。本研究的目的是测量来自执法人员(n = 71)的血液样本中促动脉粥样硬化和抗动脉粥样硬化的炎症标志物,并确定哪些类型的与职业相关的压力与这些标志物的差异相关。对于每个感兴趣的结果变量,我们开发了单独的回归模型。检查了两组潜在的预测因素是否包含在模型中。除一般协变量(例如性别,种族,执法年限和体重指​​数)外,还对选定的压力测量进行了检验,以纳入模型。我们的结果显示了几种生理变量和压力测量之间的统计学显着关系。

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