%0 Journal Article
%T Impact of Metabolic-Syndrome Risk Factors on the Absenteeism of Health Workers from a Brazilian University Hospital
%A Almerinda Luedy
%A Danile Leal Barreto
%A Hugo Costa-Ribeiro JšČnior
%J Health
%P 853-877
%@ 1949-5005
%D 2018
%I Scientific Research Publishing
%R 10.4236/health.2018.106064
%X <strong>Objective: </strong>Analyzing the association between Metabolic Syndrome (MS) risk factors and work absenteeism due to illnesses among University Hospital employees in Salvador City, Bahia, Brazil. <strong>Methods: </strong>Cross-sectional study comprised 1173 Bahia Federal University Hospital employees: 57.3% of them were federal employees (statutory officers) and 42.7% were civil servants (<em>CLT employees</em>). Participants were in the age group 41.5 years: 69.4% were female and 30.6% were male. <strong>Results:</strong> MS prevalence in employees reached 6.6%; women accounted for 69.7% of the total. The percentage increases with age and has similar proportion among directcare providers and ancillary supports personnel, 40.8% and 39.5%, respectively. The risk factor analysis showed 25% hypertension, 54.6% weight excess (18.4% obese and 36.2% overweight patients), 20% hypercholesterolemia, 9.9% hypertriglyceridemia and 6.5% diabetes mellitus prevalence. Absenteeism longer than one day within the studied population reached 40.1%. Osteoarticular diseases were the most common reason for absenteeism, accounting for 50.7% of it: 62.6% of whom were either overweight or obese. The mean cost with absenteeism per employee was R$5492.87 ($2347.00 US Dollars), and it corresponds to annual cost of R 2,587,139.53 ($1,105,610.00 US Dollars). The highest cost with absenteeism caused by illnesses was recorded for female workers; for federal employees who were patient caregivers, who worked in the Pediatric Centre and who worked at night shifts. <strong>Conclusion: </strong>The high Metabolic Syndrome risk factors and overweight incidence are responsible for the increased costs faced by hospitals due to high absenteeism rates.
%K Metabolic Syndrome
%K Risk Factors
%K Absenteeism
%K University Hospital
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=85601