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Associations between insulin and heart rate variability in police officers.
Charles LE; Andrew ME; Sarkisian K; Li S; Mnatsakanova A; Violanti JM; Wilson M; Gu JK; Miller DB; Burchfiel CM
Am J Hum Biol 2014 Jan/Feb; 26(1):56-63
OBJECTIVE: Low heart rate variability (HRV) has been linked to cardiovascular disease. Our objective was to examine the cross-sectional association between insulin and HRV. METHODS: Insulin levels were measured in 355 nondiabetic officers from the BCOPS study, following a 12 h fast. HRV was performed according to methods published by the task force of the European Society of Cardiology and the North American Society of Pacing Electrophysiology for measurement and analysis of HRV. Mean values of high (HF) and low frequency (LF) HRV were compared across tertiles of insulin using ANOVA and ANCOVA; p-values were obtained from linear regression models. RESULTS: Higher mean levels of insulin were significantly associated with lower (i.e., worse) mean levels of HRV before and after risk-factor adjustment. The results for HF HRV (ms2) were as follows: 1st insulin (microU/ml) tertile (156.3; 95% confidence interval (CI) = 128.6-189.9); 2nd tertile (154.3; 95% CI = 124.3-191.5); 3rd tertile (127.9; 95% CI = 105.0-155.8), p for trend = 0.017. Results with LF HRV were similar to HF HRV. Insulin was also inversely and significantly associated with HRV among officers with BMI >/=25 kg/m2, with >/=25.5% body fat, and among those who reported low (<median) physical activity scores. CONCLUSIONS: In this cohort, insulin levels were inversely and significantly associated with both HF and LF HRV, especially among those with higher levels of obesity and lower levels of physical activity, suggesting associations with autonomic nervous system function. Prospective studies of this association in other populations are warranted.
Employee-health; Police-officers; Law-enforcement; Emergency-response; Biological-rhythms; Heart; Heart-rate; Cardiovascular-function; Cardiovascular-disease; Drug-interaction; Electrophysiological-measurements; Electrophysiological-effects; Mathematical-models; Weight-factors; Weight-measurement; Body-weight; Risk-factors; Physical-exercise; Autonomic-nervous-system; Hormone-activity; Metabolic-activation
Luenda E. Charles, National Institute for Occupational Safety and Health, HELD/BEB, MS L-4050, 1095 Willowdale Rd., Morgantown, WV 26505-2888
Grant-Number-R01-OH-009640; Contract-200-2003-01580; M112013
Issue of Publication
American Journal of Human Biology
WV; PA; NY; IL
State University of New York at Buffalo
Page last reviewed: September 2, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division