title: [Shift work and cardiometabolic risk].
abstract: Shift work is frequently associated with coronary heart disease. Medical research indicate metabolic disturbance among shift workers, which is characterized by associated modifications in the concentration of serum glucose and serum lipids, hypertension and obesity, especially addominal weight. Atrasversal study has been carried out: 193 (126 females and 67 males) healthcare shift workers were compared with 221 (160 females and 61 males) day workers. Medical history, health examination including anthropometric and arterial blood pressure measurements were assessed. All participants were submitted a standardized questionnaire on health-related behaviours and biochemical determinations (fasting plasma glucose, HDL-cholesterol, triglycerides). Job seniority of shift work resulted at 13.5 +/- 8.2 among shift workers and 19.0 +/- 11.3 among day workers. Assessment of the metabolic syndrome relevance was defined according to the criterions proposed by the International Diabetes Federation. The 20% shift workers (33% males and 13% females) was affected by metabolic syndrome against 12% non shift workers (20% males and 9% females). The most frequently altered parameter, apart from metabolic syndrome, was high abdominal obesity, which occurred in 64% of the sample (70% shift workers vs 58% day workers). The results of multiple logistic regression attested the presence of a higher relative risk among shift workers regarding both the prevalence of a metabolic syndrome (OR 2,1 - 95% Cl 1.15-3.86) and the excess in abdominal obesity (OR 1.8 - 95% Cl 1.16-3.25). After adjusting confusing factors such as smoke, age, alchool, consumption, physical activity, scholastic degree, a OR 2.9 - 95%Cl 1,53-5.53 and a OR 1.9 - 95%.Cl 1.32-3.86 were confirmed.
authors.affiliation: Servizio di Medicina del Lavoro, Azienda Sanitaria Unica Regionale Zona 7, Ancona. copertaroa@asurzona7.marche.it
authors.forename: Alfredo
authors.initials: A
authors.lastname: Copertaro
authors.forename: Mariella
authors.initials: M
authors.lastname: Barbaresi
authors.forename: Massimo
authors.initials: M
authors.lastname: Bracci
mesh_terms: D000328:Adult; D001786:Blood Glucose / Q000032:analysis; D002784:Cholesterol / Q000097:blood; D018592:Cross-Over Studies; D003627:Data Interpretation, Statistical; D005260:Female; D006282:Health Personnel; D006801:Humans; D006973:Hypertension / Q000150:complications; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000453:epidemiology*; D008875:Middle Aged; D009765:Obesity / Q000150:complications; D012189:Retrospective Studies; D012307:Risk Factors; D012494:Sampling Studies; D012737:Sex Factors; D012907:Smoking / Q000009:adverse effects; D011795:Surveys and Questionnaires; D013997:Time Factors; D014280:Triglycerides / Q000097:blood; D014940:Work Schedule Tolerance
chemical_list: D001786:Blood Glucose; D014280:Triglycerides; D002784:Cholesterol