School of Dentistry, Federal University of Pará-UFPA, Belém, Pará, Brazil.
Department of Quantitative Methods in Health, Sérgio Arouca National School of Health, Rio de Janeiro, Rio de Janeiro, Brazil.
PLoS One. 2024 Jan 2;19(1):e0296381. doi: 10.1371/journal.pone.0296381. eCollection 2024.
This study aimed to estimate the prevalence of multimorbidity in Brazilian individuals and its association with sociodemographic and lifestyle factors. This cross-sectional study used data from the National Health Survey conducted in 2019 with 88,531 Brazilian adults Multimorbidity is the presence of two or more non-communicable chronic diseases. Associated factors were assessed by calculating the prevalence ratio (PR) obtained using Poisson regression with robust variance. Multimorbidity was estimated in 29.9% (95%CI: 29.33% to 30.48%) of Brazilian individuals. In the multiple models, the prevalence was high in women (PR: 1.37; 95%CI: 1.32 to 1.42), individuals over 60 years (PR: 4.26; 95%CI: 3.87 to 4.69), non-employed (PR: 1.20; 95%CI: 1.15 to 1.26), individuals with obesity (PR: 1.49; 95%CI: 1.43 to 1.56), and smokers (PR: 1.24; 95%CI: 1.19 to 1.29). This study identified a high prevalence of multimorbidity and its association with sociodemographic and lifestyle factors. The monitoring of these outcomes may support the development of policies and services.
本研究旨在估计巴西个体的多种疾病患病率及其与社会人口学和生活方式因素的关联。这项横断面研究使用了 2019 年全国健康调查的数据,共有 88531 名巴西成年人参与。多种疾病是指存在两种或两种以上的非传染性慢性疾病。关联因素通过使用泊松回归和稳健方差计算得到的患病率比 (PR) 进行评估。巴西个体的多种疾病患病率估计为 29.9%(95%CI:29.33%至 30.48%)。在多模型中,女性(PR:1.37;95%CI:1.32 至 1.42)、60 岁以上个体(PR:4.26;95%CI:3.87 至 4.69)、非就业者(PR:1.20;95%CI:1.15 至 1.26)、肥胖者(PR:1.49;95%CI:1.43 至 1.56)和吸烟者(PR:1.24;95%CI:1.19 至 1.29)的患病率较高。本研究发现多种疾病的患病率较高,且与社会人口学和生活方式因素有关。监测这些结果可能有助于制定政策和服务。