Metabolic Syndrome and Salivary Cortisol: Is There Dysregulation Among a Group of Active Duty Urban Police Officers
Public Domain
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2010/04/01
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Description:Objective: Examine metabolic syndrome risk and cortisol patterns in an actively employed group of urban police officers. Methods: A total of 102 actively employed Upstate New York police officers were randomly selected. Metabolic syndrome risk factor determinations were obtained during a scheduled clinic visit and salivary cortisol measures were subsequently obtained over the next 24 h. Results: 24% of male police offers demonstrated metabolic syndrome as defined by the National Cholesterol Education Program guidelines. Only one female officer met the criteria for metabolic syndrome; however, she declined to participate in the cortisol portion of the study. Among male officers were the most prevalent risk factors, while female officers most often exhibited as the most commonly identified risk factors. The various cortisol measures produced mixed results. Area under the curve cortisol did demonstrate moderate dysregulation. Conclusion: Cortisol dysregulation is evident among the male officers with metabolic syndrome who participated in the study. Of interest among those officers with only two syndrome characteristics, dysregulation of awakening area under the curve cortisol measures was also apparent. Continued monitoring of the officer population for manifest diabetic and cardiovascular disease should be undertaken. [Description provided by NIOSH]
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ISSN:1871-4021
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Pages in Document:82-88
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Volume:4
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Issue:2
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NIOSHTIC Number:nn:20036955
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Citation:Diabetes Metab Syndr 2010 Apr/Jun; 4(2):82-88
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Contact Point Address:Tammy L. Austin-Ketch, School of Nursing, University at Buffalo, The State University of New York 314 Wende Hall, 3435 Main Street, Buffalo, NY 14214, USA
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Email:tlak@buffalo.edu
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Federal Fiscal Year:2010
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Peer Reviewed:True
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Source Full Name:Diabetes and Metabolic Syndrome: Clinical Research and Reviews
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Main Document Checksum:urn:sha-512:7f8682eaf6d56a13730b82e341150b1f89317292ac47a8da3b9f4ad1812778ada705a8f94495c4ebf4c0feef7769154c96a1df0f59eeac84dff673a400b5870c
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