Dryad
Published November 24, 2016 | Version v1
Dataset Open

Data from: Work stress and metabolic syndrome in police officers. A prospective study

Authors/Creators

  • 1. University of Genoa
  • 2. Catholic University of the Sacred Heart

Description

Objective: The aim of this longitudinal study was to evaluate the association between occupational stress and metabolic syndrome (MetS) in a rapid response police unit. Method: Work-related stress was continuously monitored during the 5-year period with both the Demand-Control-Support (DCS) and the Effort-Reward Imbalance (ERI) models. Blood pressure, body mass index (BMI), waist circumference, triglycerides, HDL-cholesterol, and fasting blood glucose were measured at baseline in January 2009, and in January 2014. 234 out of 290 police officers (81%) completed the follow-up. Results: The majority of police officers had high stress levels. At follow-up, police officers in the highest quartile of stress had significantly higher mean levels of triglycerides, and lower levels of HDL-cholesterol than their colleagues in the lowest quartile. Police officers with high stress had an increased adjusted risk of developing MetS (aOR = 2.68; CI95% = 1.08–6.70), and hypertriglyceridemia (aOR = 7.86; CI95 = 1.29–48.04). Demand and Effort were significant predictors of MetS. Conclusion: Our study supports the hypothesis that work-related stress induces MetS, particularly through its effects on blood lipids. Future longitudinal studies with continuous monitoring of stress levels will definitively confirm this hypothesis.

Notes

Dryad_metab_stress_15
Data used in the study "Work stress and metabolic syndrome in police officers. A prospective study".Legends: followup concluded follow-up (0=no, 1=yes) eta age, years fumo smoke, 0=no, 1=yes sonno sleep disorders, 0=no, 1=yes col0 cholesterol, baseline hdlcol0 hdl-cholesterol, baseline tg0 triglycerides, baseline gluc0 blood glucose, baseline obe0 obesity, baseline hipres0 high blood pressure hitg0 high triglycerides lowhdl0 low HDL-C higluc0 hi blood glucose metcomp0 MetS components, number MetS0 MetS at baseline hdlcol HDL-C value at follow-up trigl follow-up vakue glic follow-up value obes follow-up obesity hipres follow-up hypertension hitry follow-up hypertriglyceridemia lowhdl follow-up low HDL-C metcomp follow-up metabolic components higluc follow-up diabetes MetS follow-up MetS prevalence incidMetS follow-up incident cases of MetS strestot stress, rank x_dem mean demand x_contr mean control x_supp mean support x_eff mean effort x_rew mean reward x_over mean overcommitment x_dcr mean job strain x_eri mean ERI hi_x_dcr DCR>1 hi_x_eri ERI>1 hi_x_stres stress level: 0:<1; 1: exceeding 1 in one model; 2: >1 with both models

Files

Files (55.1 kB)

Name Size Download all
md5:e6e27cde7aef2f2805eade7239eddeb9
55.1 kB Download

Additional details

Related works

Is cited by
10.1371/journal.pone.0144318 (DOI)