C Catalina-Romero1, M A Sanchez Chaparro2, P Valdivielso2, L Quevedo-Aguado3, C Brotons4, L M Ruilope5, E Calvo-Bonacho3. 1. Ibermutuamur (Mutua colaboradora con la Seguridad Social 274), Madrid, Spain. Electronic address: carloscatalina@ibermutuamur.es. 2. Department of Internal Medicine, University Hospital "Virgen de la Victoria", and University of Malaga, Malaga, Spain. 3. Ibermutuamur (Mutua colaboradora con la Seguridad Social 274), Madrid, Spain. 4. Research Unit, Sardenya Primary Health Care Centre-Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain. 5. Research Institute Hospital 12 de Octubre, Madrid, Spain.
Abstract
BACKGROUND AND AIMS: To assess the impact of obesity and being overweight on sickness absence (SA) as a function of healthy/unhealthy metabolic phenotype. METHODS AND RESULTS: A total of 173 120 healthy workers who underwent a routine check-up, consisting of a structured interview, anthropometric measurements and blood pressure and fasting blood analysis, were included as the study sample (67.1% males; 49.2% manual workers; mean age 40.6 ± 21.9 years). Workers were classified according to their body mass index (BMI) and metabolic phenotype. A metabolically unhealthy phenotype was defined as the presence of three or more of the following criteria: glycaemia ≥110 mg/dL or previously diagnosed type I/II diabetes or treatment for diabetes; triglycerides ≥150 mg/dL or lipid-lowering therapy; HDL <40/50 mg/dL M/F; blood pressure ≥130/85 mmHg or previously diagnosed hypertension or antihypertensive therapy; waist circumference >102/88 cm M/F. A one-year follow-up was conducted to evaluate the incidence of work-related and non-work-related SA (WRSA/NWRSA). The association of BMI with SA was tested using Poisson regression (standard error correction), segmenting on the basis of metabolic phenotype. The overall percentages of workers who were overweight, obese and/or had a metabolically unhealthy phenotype were 37.7%, 16.3% and 8.8%, respectively. BMI was associated with increased incidence of NWRSA in both phenotypes. It was also associated with WRSA in subjects with a BMI in the range of 35-39.99 kg/m2 and in metabolically healthy individuals. WRSA was lower in subjects with a BMI ≥40 kg/m2 and among metabolically unhealthy individuals. CONCLUSION: Obesity is associated with health problems that have a significant impact on SA.
BACKGROUND AND AIMS: To assess the impact of obesity and being overweight on sickness absence (SA) as a function of healthy/unhealthy metabolic phenotype. METHODS AND RESULTS: A total of 173 120 healthy workers who underwent a routine check-up, consisting of a structured interview, anthropometric measurements and blood pressure and fasting blood analysis, were included as the study sample (67.1% males; 49.2% manual workers; mean age 40.6 ± 21.9 years). Workers were classified according to their body mass index (BMI) and metabolic phenotype. A metabolically unhealthy phenotype was defined as the presence of three or more of the following criteria: glycaemia ≥110 mg/dL or previously diagnosed type I/II diabetes or treatment for diabetes; triglycerides ≥150 mg/dL or lipid-lowering therapy; HDL <40/50 mg/dL M/F; blood pressure ≥130/85 mmHg or previously diagnosed hypertension or antihypertensive therapy; waist circumference >102/88 cm M/F. A one-year follow-up was conducted to evaluate the incidence of work-related and non-work-related SA (WRSA/NWRSA). The association of BMI with SA was tested using Poisson regression (standard error correction), segmenting on the basis of metabolic phenotype. The overall percentages of workers who were overweight, obese and/or had a metabolically unhealthy phenotype were 37.7%, 16.3% and 8.8%, respectively. BMI was associated with increased incidence of NWRSA in both phenotypes. It was also associated with WRSA in subjects with a BMI in the range of 35-39.99 kg/m2 and in metabolically healthy individuals. WRSA was lower in subjects with a BMI ≥40 kg/m2 and among metabolically unhealthy individuals. CONCLUSION:Obesity is associated with health problems that have a significant impact on SA.