Síndrome metabólica em trabalhadores de uma empresa de geração e transmissão de energia elétrica na cidade do Rio de Janeiro

• Autor(a) principal: Chini, Luiz Stanislau Nunes
• Data de Publicação: 2011
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal Fluminense (RIUFF)
• Texto Completo: https://app.uff.br/riuff/handle/1/19458
• topic: Doenças cardiovasculares; Diabetes; Hipertensão; Obesidade; Síndrome metabólica; MEDICINA; CIÊNCIAS MÉDICAS; Doença metabólica; Síndrome X metabólica; Cardiovascular disease; Diabetes; Hypertension; Obesity; Metabolic syndrome; CNPQ::CIENCIAS DA SAUDE

Background. Little is known about the prevalence of metabolic syndrome in the working population in the world. We examined the prevalence of metabolic syndrome in a company of generation and distribution of energy, Rio de Janeiro, Brazil. Methods. Cross-sectional study designed to analyze data from employees submitted to the annual company medical checkup in 2008. Medical chart was reviewed for collection of clinical and laboratory data. Metabolic syndrome was defined by the presence of 3 or more of the following risk factors: waist circumference &#8805;90 cm in men and &#8805;80 cm in women, triglycerides &#8805;150 mg/dL or treatment for elevated triglycerides, HDL-C <40 mg/dL for men or <50 mg/dL for women or treatment for reduced HDL-C, blood pressure &#8805;130/85 mm Hg or antihypertensive drug treatment and glucose &#8805;100 mg/dL or treatment for elevated glucose. Results. The crude prevalence of metabolic syndrome was 48.6%. The prevalence increased with age and reached 58.7 % in employees older than age 60. The age-adjusted prevalence was 38.2%. Increased waist circumference was the most prevalent component of the syndrome (94.2%), followed by high blood pressure (69.3%). In a multivariate analysis, age, sedentary lifestyle and level of uric acid were significantly associated with a higher risk of metabolic syndrome. Conclusion. Metabolic syndrome is highly prevalent in a working population in Rio de Janeiro. Our study will help to delineate key risk factors for the development of metabolic syndrome in Brazil and may help the development of new preventive public health policies.