Graduate Program in Collective Health, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Division of Population Research, Brazilian National Cancer Institute, Rio de Janeiro, Brazil.
PLoS One. 2018 Nov 20;13(11):e0207649. doi: 10.1371/journal.pone.0207649. eCollection 2018.
Multimorbidity patterns of a population can be influenced by socioeconomic and lifestyle-related factors. Some of these factors are preventable when healthy habits are promoted to the population. This study analyzed the main grouping patterns of chronic diseases and the relationship with socioeconomic and lifestyle-related factors of the Brazilian population (over the age of 18), based on a population-based survey (2013 National Health Survey). A total of 60,202 participants were included. Cluster analysis was carried out to identify the combinations of chronic diseases. Bivariate and multivariate analyses were carried out to verify the relationship between disease clusters and independent variables, utilizing Poisson's regression with robust variance, considering a 95% confidence interval. Cluster analysis revealed four disease clusters:cardiometabolic diseases/cancer, mental/occupational diseases, musculoskeletal diseases and respiratory diseases, all significantly associated with the female gender, current/past smoking habits and overweight/obesity in multivariate analyses. These aspects must be considered when planning health services and developing strategies and guidelines for the prevention and treatment of multiple chronic conditions.
人群的多种疾病模式可能受到社会经济和生活方式相关因素的影响。当向人群倡导健康习惯时，其中一些因素是可以预防的。本研究基于一项基于人群的调查（2013 年全国健康调查），分析了巴西（18 岁以上）人群的主要慢性疾病分组模式及其与社会经济和生活方式相关因素的关系。共纳入 60202 名参与者。采用聚类分析来识别慢性疾病的组合。进行了双变量和多变量分析，以利用具有稳健方差的泊松回归来验证疾病群与独立变量之间的关系，置信区间为 95%。聚类分析显示了四个疾病群：心血管代谢疾病/癌症、精神/职业疾病、肌肉骨骼疾病和呼吸系统疾病，这些疾病在多变量分析中均与女性性别、当前/过去吸烟习惯和超重/肥胖显著相关。在规划卫生服务以及制定预防和治疗多种慢性疾病的策略和指南时，必须考虑到这些方面。
