Síndrome metabólica no policial militar do estado de Goiás

• Ano de defesa: 2017
• Autor(a) principal: Almeida, Suzy Darlen Soares de
• Orientador(a): Amaral, Waldemar Naves do
• Banca de defesa: Amaral, Waldemar Naves do, Fernandes, Marcos Rassi, Franco, Glaucimeire Marques, Ferreira, Rui Gilberto, Castro, Eduardo Camelo de
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Ciências da Saúde (FM)
• Departamento: Faculdade de Medicina - FM (RG)
• País: Brasil
• Palavras-chave em Português: Síndrome X metabólica; Doenças crônicas; Doenças cardiovasculares; Polícia militar; Medicina militar; Distribuição espacial da população
• Palavras-chave em Inglês: Metabolic syndrome x; Chronic diseases; Cardiovascular diseases; Military police; Military medicine; Spatial distribution of the population
• Área do conhecimento CNPq: MEDICINA::ANATOMIA PATOLOGICA E PATOLOGIA CLINICA
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/6914

OBJECTIVES: (i) to establish the prevalence of Metabolic Syndrome (MS) in Military Police Officers (PMs) in Goiás; (Ii) to characterize the epidemiological profile of Goiás MPs with MS; (Iii) establish its risk factors; (Iv) to establish a correlation between the prevalence of MS occurrences and police occurrences (v) to describe their spatial distribution according to the Safe Citizen Program of the State of Goiás. METHODOLOGY: A descriptive, retrospective and transversal study developed with Military Police officers of Military Police of Goiás using the study of a database for the periodic evaluations of the health status of the MPs carried out between 2009 and 2013. The sample was selected according to the selection criteria, which included those with cadastral information and multidisciplinary evaluations Complete and unpaid; And excluded those with cadastral data and incomplete, multi-disciplinary evaluations of the pregnant police officers; With duplicate and triplicate data; With misleading and incomplete typing. Total 6303 police officers, 52.5% of the total population of the study (94.5% in men and 5.5% in women), being distributed according to the regions of the Safe Citizen Program of the State of Goias. The research was divided into: 1st phase - Organization and data collection, 2nd Phase - Application of the diagnostic criteria for the National Cholesterol Education Program Revised, and 3rd Phase - Data analysis - descriptive statistics with spatial distribution using scanning scan of Kulldorff. RESULTS: Of the 6303 PM evaluated, 23.7% (n = 1495) had MS, divided into 22.6% of males and 1.1% of females. The majority were between 40 and 45 years of age (32.4%), with rates increasing above 20% from 35 years, decreasing at 55 years; Married (70.4%); With incomplete secondary education (45.1%); With physical activity below three times per week (55.2%); With Sergeant's patent (45.0%); Nonsmokers (89.8%); With normal sleep (92.1%); And Goiânia (30.3%). Of the components, 58.9% of blood pressure, 42.8% of triglycerides, 30.3% of High Density Lipoprotein, 20.9% of waist circumference and 17.4% of fasting glucose were found in the PMs. SM was not correlated with police occurrences. Body mass index and age were the risk factors associated with higher odds for MS, especially, aged between 40 and 45 years and overweight. The groups with the highest relative risk (1.22) were found in the regions of: Itumbiara, Cidade de Goiás, Iporá, Jataí and Rio Verde, and with the lowest relative risk (0.82) in Goiânia. CONCLUSION: The prevalence of MS among Goiás MPs was 23.7%, being more frequent in subjects aged 40-45 years, married, with incomplete secondary education, with physical activity below three times a week, Sergeants, nonsmokers, with normal sleep and crowded in Goiânia. The risk factors identified were BMI and age, respectively, the most potentiating classes, age between 40 and 45 years and overweight increase the association with MS. No correlation was found between this Syndrome and police occurrences.Concerning its spatial distribution, the biggest frequency were in the regions of: Águas Lindas de Goiás - 31.5%; Porangatu - 29.7%; Rio Verde - 28.9%; Itumbiara - 28.8%; And Iporá - 28.4%.