Introdução: O câncer de mama é a neoplasia que mais causa mortes na população feminina mundial e brasileira. Objetivo: Analisar o perfil epidemiológico, a tendência e a distribuição espacial da mortalidade por câncer de mama feminino em Alagoas no período de 2001 a 2016. Método: Trata-se de um estudo ecológico misto, incluindo os óbitos femininos por câncer de mama registrados em Alagoas durante esse período. Foram utilizadas as variáveis sociodemográficas (faixa etária, cor/raça, estado civil, escolaridade e local de ocorrência) e a taxa de mortalidade por faixa etária e por município do Estado. Os dados foram obtidos do Sistema de Informações sobre Mortalidade e os dados populacionais, do Instituto Brasileiro de Geografia e Estatística (IBGE). A análise de tendência utilizou o modelo de regressão por pontos de inflexão (joinpoint regression model) e a espacial, a estatística de Moran. Resultados: Houve 1.816 óbitos no período, 25,3% entre 50-59 anos, 46,3% de cor parda, 36,1% casadas, 35,5% com menos de oito anos de estudos e 67,2% de óbitos no ambiente hospitalar. As faixas etárias de 40 anos ou mais apresentaram tendências de crescimento, destacando-se 80 anos ou mais (percentual médio de variação anual: 9,2; p<0,001) com o maior crescimento. A distribuição espacial foi aleatória. Conclusão: A taxa de mortalidade por câncer de mama feminino cresceu no período de 2001 a 2016 nas faixas etárias de 40 anos ou mais no Estado e sem padrão espacial definido.
INTRODUCTION: Coronavirus disease 2019 is the disease caused by a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In the ongoing obesity pandemic, its coexistence with COVID-19 becomes worrying and has a less favorable outcome.OBJECTIVE: This study aimed to describe the clinical and epidemiological profiles of confirmed cases of COVID-19 in individuals with obesity in the state of Alagoas. METHODS:The observational cross-sectional study involving 138 confirmed cases of COVID-19 who had obesity as a comorbidity reported at the time of notification of the disease. The data were collected from the COVID-19 database in the state of Alagoas, and the variables analyzed were sex, age (and age group), race/color, outcome, clinical manifestations, and associated comorbidities. The Kolmogorov-Smirnov, Mann-Whitney U, χ², or Fisher's exact tests were performed as appropriate. The significance was set at 5 and 95% confidence intervals.RESULTS: There was a predominance of females (55.1%; n=76), aged <60 years (70.3%; n=97) and brown race/color (n=76; 55.1%).The most prevalent symptoms were cough (n=84; 60.9%), fever (n=78; 56.5%), headache (n=36; 26.1%), and adynamia (n=28; 20.3%).The median age was 49 years, with no difference between genders (p=0.340). The lethality rate was 17.4% (n=24), being higher in the male population (22.6% in males and 13.2% in females). Of the 24 deaths, 13 (54.2%) were recorded in the elderly people. In addition to obesity, 54.3% (n=75) had systemic arterial hypertension and 30.4% (n=42) had diabetes mellitus. There was no difference in the prevalence of comorbidity between genders. CONCLUSIONS:The profile studied demonstrates that obesity represents a challenge for coping with COVID-19.
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