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1.
Rev. bras. epidemiol ; 22: e190015, 2019. tab, graf
Article in Portuguese | LILACS | ID: biblio-1003486

ABSTRACT

RESUMO: Objetivo: Comparar a prevalência de fatores de risco cardiovascular na população de Vitória (ES) em pesquisa autorreferida por contato telefônico (VIGITEL) ou por exames clínicos e laboratoriais realizados na Pesquisa Nacional de Saúde (PNS). Método: Os inquéritos foram realizados na população adulta de Vitória (≥18anos). No VIGITEL foram entrevistados 1996 indivíduos (homens = 38%). Na PNS foi feita visita domiciliar seguida de exames clínicos e laboratoriais em 318 indivíduos (homens = 48%) selecionados em 20setores censitários da cidade. Nos dois inquéritos, as prevalências foram ajustadas para a estrutura populacional estimada para o ano de 2013. Os dados são fornecidos como porcentagens e intervalo de confiança de 95% (IC95%). Resultados: Foram encontradas prevalências similares no VIGITEL e na PNS, respectivamente, para tabagismo (8,2%; IC95% 6,7 - 9,7% versus 10,0; IC95% 6,4 - 13,6%) e hipertensão (24,8%; IC95% 22,6- 27,0% versus 27,2%; IC95% 21,8 - 32,5%). Houve diferença estatística (p < 0,01) entre o VIGITEL e a PNS, respectivamente, para as prevalências de obesidade (16,8%; IC95% 14,1 - 18,1% versus 25,7%; IC95% 20,4- 30,9%) e colesterol elevado (≥ 200mg/dL) no sangue (20,6%; IC95% 18,6 - 22,6% versus 42,3%; IC95% 36,9- 47,7%). A prevalência de diabetes também foi maior (p < 0,05) na PNS (6,7 versus 10,7%). Conclusão: A prevalência populacional de hipertensão e tabagismo foi estimada adequadamente no VIGITEL. Isso não ocorreu com a obesidade por provável viés de informação do peso corporal no VIGITEL. Os dados mostram a necessidade de melhorar a cobertura diagnóstica das dislipidemias em vista da importância do controle desse fator de risco na prevenção primária das doenças cardiovasculares.


ABSTRACT: Objective: To compare the prevalence of cardiovascular risk factors in the adult population of Vitória, Espírito Santo, Brazil, in two surveys conducted by telephone interview (VIGITEL) or by clinic and laboratory exams during the National Health Interview Survey (NHIS). Method: Data were collected from adults (≥ 18 years). In VIGITEL, 1,996 subjects (males = 38%) were interviewed. In NHIS, home visit followed by clinical and laboratory tests was made with 318 individuals (males = 48%) selected in 20 census tracts of the city. The prevalence of risk factors was adjusted to the estimated population of the city in 2013. Data are shown as prevalence and 95% confidence interval (95%CI). Results: Similar values of prevalence were found in VIGITEL and NHIS, respectively, for smoking (8.2%; 95%CI 6.7-9.7% vs 10.0; 95%CI 6.4 - 13.6%) and hypertension (24.8%; 95%CI 22.6 - 27.0% vs 27.2%; 95%CI 21.8 - 32.5%). Statistical differences between surveys (p < 0.01) were found for diabetes (6.7%; 95%CI 5.6 - 7.9% vs 10.7%; 95%CI 7.1 - 14.5%), obesity (16.8%; 95%CI 14.1 - 18.1% vs 25.7%; 95%CI 20.4 - 30.9%) and high cholesterol (≥ 200mg/dL) (20.6%; 95%CI 18.6- 22.6% vs 42.3%; 95%CI 36.9 - 47.7%). The prevalence of diabetes was also higher (p < 0.01) in NHIS (6.7 vs 10.7%). Conclusion: Prevalence of smoking and hypertension, but not obesity, was adequately detected in VIGITEL, because there might have been information bias related to body weight during telephone interviews. Datashow the necessity to improve the diagnosis of dyslipidemias in primary care services, as the control of this risk factor is of utmost importance to prevent cardiovascular diseases.


Subject(s)
Humans , Male , Female , Adolescent , Adult , Aged , Young Adult , Cardiovascular Diseases/etiology , Cardiovascular Diseases/epidemiology , Smoking/epidemiology , Diabetes Mellitus/epidemiology , Hypercholesterolemia/epidemiology , Hypertension/epidemiology , Obesity/epidemiology , Brazil/epidemiology , Smoking/adverse effects , Prevalence , Interviews as Topic , Risk Factors , Health Surveys , Sex Distribution , Age Distribution , Diabetes Complications , Self Report , Hypercholesterolemia/complications , Hypertension/complications , Middle Aged , Obesity/complications
2.
Arch. endocrinol. metab. (Online) ; 62(5): 552-559, Oct. 2018. tab, graf
Article in English | LILACS | ID: biblio-983796

ABSTRACT

ABSTRACT Objective: Angola is a sub-Saharan African country where the population has scarce access to lipidlowering medication. We sought to determine the frequency of lipid disorders among Angolan nonusers of lipid-lowering medication. Material and methods: A cross-sectional descriptive study was carried out in a sample of 604 workers from the public sector. Blood pressure and anthropometric data were measured along with biochemical parameters including total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C). LDL-C to HDL-C ratio (LDL-C/HDL-C) was obtained from LDL-C and HDL-C levels. Results: High frequencies of elevated blood pressure (44.8%), metabolic syndrome (20.2%), increased TC (39.2%) and increased LDL-C (19.3%) were found. Low HDL-C was more frequent in women (62.4% vs. 36.1%, p < 0.001). Isolated hypercholesterolemia was more frequent in men (9.6% vs. 2.5%, p < 0.001). Among men TC, TG, LDL-C and LDL-C/HDL-C ratio were higher and HDL-C was lower in obese than in low-weight and normal-weight participants. Among women TC, TG, LDL-C and LDL-C/HDL-C ratio were higher in obese than in normal-weight participants. Significant linear trend of increasing TC and LDL-C levels as age increased was detected for both genders (p for trend < 0.05). Conclusion: The results of our study showed a high frequency of lipid disorders in Angolan non-users of lipid-lowering medication.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Young Adult , Black People/ethnology , Dyslipidemias/ethnology , Triglycerides/blood , Cardiovascular Diseases/etiology , Cardiovascular Diseases/blood , Anthropometry , Cholesterol/blood , Cross-Sectional Studies , Risk Factors , Age Factors , Age Distribution , Dyslipidemias/complications , Dyslipidemias/blood , Hemodynamics , Angola/ethnology , Obesity/complications , Obesity/blood
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