Dataset Information

Predictors of Arterial Stiffness in Law Enforcement Officers.

ABSTRACT: Compare arterial stiffness among law enforcement officers (LEOs) versus general population normative values and identify predictors of arterial stiffness in LEOs. Seventy male LEOs (age: 24-54 years) completed body composition, blood pressures, physical activity level, and carotid-femoral pulse wave velocity (cfPWV) measurements. T-tests and regression analyses were utilized to compare LEO data to normative data and predict cfPWV, respectively. Compared to similar age strata within the general population, cfPWV was lower among LEO's under 30-years (mean difference = -0.6 m·s-1), but higher among LEOs 50-55-years (mean difference = 1.1 m·s-1). Utilizing regression, age, relative body fat, and diastolic blood pressure explained the greatest variance in LEO's cfPWV (adj. R2 = 0.56, p < 0.001). This investigation demonstrated that arterial stiffness may progress more rapidly in LEOs and LEOs' relative body fat and blood pressure may primarily affect arterial stiffness and risk of CVD.

SUBMITTER: Keeler JM

PROVIDER: S-EPMC8508055 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

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Predictors of Arterial Stiffness in Law Enforcement Officers.

Keeler Jason M JM Fleenor Bradley S BS Clasey Jody L JL Stromberg Arnold A Abel Mark G MG

International journal of environmental research and public health 20210928 19

<h4>Background</h4>Compare arterial stiffness among law enforcement officers (LEOs) versus general population normative values and identify predictors of arterial stiffness in LEOs.<h4>Methods</h4>Seventy male LEOs (age: 24-54 years) completed body composition, blood pressures, physical activity level, and carotid-femoral pulse wave velocity (cfPWV) measurements. T-tests and regression analyses were utilized to compare LEO data to normative data and predict cfPWV, respectively.<h4>Results</h4>Co ...[more]

PMID: 34639495

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Project description:ObjectivesTo test the magnitude of the relationship between self-reported stressor exposure and perceived stress in police officers using a novel measure of daily work events, and whether dispositional mindfulness and resilience moderate this relationship.MethodsA total of 114 law enforcement officers from a mid-sized Midwestern US city completed daily logs of job stressors and associated perceived stress, as well as additional self-report measures of perceived stress, trait mindfulness and resilience, and demographics and work information. Principal component analysis (PCA) was used to cluster job stressors into a smaller number of components in a data-driven manner. Linear mixed-effects models were used to test the relationship between stressor exposure and perceived stress for each component, and the moderation of this relationship by trait mindfulness and resilience.ResultsThe PCA categorized stressor exposure into three components: (1) acute or traumatic line-of-duty stressors, (2) routine daily stressors, and (3) interpersonal stressors. Results of mixed models showed robust positive relationships between self-reported stressor exposure and corresponding perceived stress across all 3 components. Dispositional mindfulness (but not resilience) moderated the association between stressor exposure and perceived stress for routine stressors, such that individuals with higher dispositional mindfulness showed a relatively attenuated relationship between exposure to routine daily stressors and resulting perceived stress.ConclusionsPolice officers high in dispositional mindfulness may experience daily routine stressors as less stressful, which can reduce the accumulation of general stress in the long term and which could help buffer against negative health outcomes associated with perceived stress.Trial registrationClinicaltrials.gov/ct2/show/NCT03488875.Supplementary informationThe online version contains supplementary material available at 10.1007/s12671-021-01707-4.

Project description:ObjectiveTo assess the association between risk of sudden cardiac death and stressful law enforcement duties compared with routine/non-emergency duties.DesignCase distribution study (case series with survey information on referent exposures).SettingUnited States law enforcement.ParticipantsSummaries of deaths of over 4500 US police officers provided by the National Law Enforcement Officers Memorial Fund and the Officer Down Memorial Page from 1984 to 2010.Main outcome measuresObserved and expected sudden cardiac death counts and relative risks for sudden cardiac death events during specific strenuous duties versus routine/non-emergency activities. Independent estimates of the proportion of time that police officers spend across various law enforcement duties obtained from surveys of police chiefs and front line officers. Impact of varying exposure assessments, covariates, and missing cases in sensitivity and stability analyses.Results441 sudden cardiac deaths were observed during the study period. Sudden cardiac death was associated with restraints/altercations (25%, n=108), physical training (20%, n=88), pursuits of suspects (12%, n=53), medical/rescue operations (8%, n=34), routine duties (23%, n=101), and other activities (11%, n=57). Compared with routine/non-emergency activities, the risk of sudden cardiac death was 34-69 times higher during restraints/altercations, 32-51 times higher during pursuits, 20-23 times higher during physical training, and 6-9 times higher during medical/rescue operations. Results were robust to all sensitivity and stability analyses.ConclusionsStressful law enforcement duties are associated with a risk of sudden cardiac death that is markedly higher than the risk during routine/non-emergency duties. Restraints/altercations and pursuits are associated with the greatest risk. Our findings have public health implications and suggest that primary and secondary cardiovascular prevention efforts are needed among law enforcement officers.

Dataset Information

Predictors of Arterial Stiffness in Law Enforcement Officers.

Publications

Predictors of Arterial Stiffness in Law Enforcement Officers.

Similar Datasets

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