ABSTRACT
Resumo Introdução A doença cerebrovascular (DCBV) é a segunda principal causa de morte no mundo e no Brasil. Objetivo Avaliar as tendências da mortalidade por DCBV em duas cidades brasileiras (Maceió e Florianópolis) com diferenças socioeconômicas extremas, entre 1981 e 2015, estimando os efeitos idade, período e coorte. Método Estudo de séries temporais da mortalidade por DCBV em indivíduos com ≥ 40 anos, empregando a ferramenta Web tool. Resultados A mortalidade por DCBV diminuiu com o tempo, aumentou com a idade e foi menor para gerações mais novas. O efeito foi igual para ambos os sexos. Houve diminuição da mortalidade nas duas cidades, mas a diferença foi grande e a mortalidade continua alta em Maceió. Com base na amplitude dos efeitos estimados, foi possível verificar que o efeito de coorte foi o termo mais significativo para explicar a variabilidade temporal das taxas de mortalidade por DCBV no período. Conclusão A comparação da tendência temporal nas duas cidades mostrou a importância da melhora das condições de vida, do acesso a serviços de saúde para prevenção e controle dos fatores de risco, assim como assistência hospitalar aos casos para diminuirmos a mortalidade por DCBV em todo o território nacional.
Abstract Background Cerebrovascular disease (CBVD) is the second leading cause of death in the world and Brazil. Objective To evaluate trends in mortality from CBVD in two Brazilian cities (Maceió and Florianópolis) with extreme socioeconomic differences, between 1981 and 2016, estimating the age, cohort effect. Method Study of CBVD mortality time series in individuals aged ≥40 years, using the Age, Period, Cohort (APC) analysis and the Web tool. Results CBVD mortality decreased with time, increased with age and was lower for younger generations. The effect was the same for both sexes. There was a decrease in mortality in both cities, but the difference was large, and mortality remains high in Maceió. Based on the amplitude of the estimated effects, it was possible to verify that the cohort effect was the most significant term to explain the temporal variability of mortality rates due to CVD in the period. Conclusion The comparison of the time trend in the two cities showed the importance of improving living conditions, access to health services for the prevention and control of risk factors, as well as hospital care for cases to reduce mortality from CVD nationwide.
ABSTRACT
INTRODUCTION: Population aging is associated with increased prevalence of cardiovascular diseases that have a significant impact on overall morbidity and mortality. Insulin resistance (IR) and visceral obesity are risk factors for vascular damage and cardiometabolic diseases. AIMS: Estimating the correlation between lipid accumulation product (LAP) and IR in elderly individuals and comparing them to traditional anthropometric indices. METHODS: Cross-sectional study comprising 411 individuals >60 years, who were treated in a primary care service. Body mass index (BMI), neck circumference (NC), waist circumference (WC), hip circumference (HC), arm circumference (AC), sagittal abdominal diameter (SAD) and waist-hip ratio (WHR) were recorded. IR was estimated based on HOMA-IR (homeostasis model assessment IR index). LAPa index was calculated as [WC-65]×[triglyceride (TG)] in men, and as [WC-58]×[TG] in women, whereas LAPb was calculated by using the minimum WC values recorded for the current sample, i.e., 61.5 cm for women and 71.5 cm for men. RESULTS: There was correlation among LAPa (0.506), LAPb (0.515) and HOMA-IR. LAP was better correlated to HOMA-IR and showed higher area under the curve than BMI, NC, WHR and SAD. Based on the receiver operating characteristic curve analysis, LAPb≥47.40 and LAPa≥52.5 were the best cut-off values used to identify individuals with IR presenting 68.8% and 68.2% sensitivity, and 68.6% and 68.6% specificity, respectively. CONCLUSION: LAP may be a useful and simple clinical marker to assess cardiometabolic risk factors in the elderly population treated at a primary care service.
