Ribeiro Ícaro J S, Cardoso Jefferson P, Freire Ivna V, Carvalho Mailson F, Pereira Rafael
Student at Nursing & Health Postgraduate Program, State University of Southwest Bahia, Jequié (BA), Brazil.
Professor at State University of Southwest Bahia, Nursing & Health Postgraduate Program Jequié (BA), Brazil.
J Stroke Cerebrovasc Dis. 2018 Jun;27(6):1616-1623. doi: 10.1016/j.jstrokecerebrovasdis.2018.01.013. Epub 2018 Feb 14.
The objective of this study was to investigate the association between biological-health, socioeconomics, and behavioral determinants and stroke by evaluating the risk of stroke in the presence of each or all determinants grouped in a multivariate model.
This study is a transversal secondary data analysis of the Brazilian National Health Survey, released by the Brazilian Institute of Geography and Statistics. The prevalence, prevalence ratios, and confidence intervals were calculated for the main outcome. A multivariate regression model was applied, with the stroke as outcome and all other variables with a P value of .20 or lower in the univariate analysis included as explanatory variables to adjust for potential confounders and effect modifiers.
The mean age was 43.3 ± 16.6 years, ranging from 18 to 101 years. The prevalence of hypertension was 21.4%, and with regard to lifestyle habits, it was observed that 20.0% had smoked but stopped and 29.7% practiced physical activity in the last 30 days. The regression model showed that the odds ratio in the final model was weighted, with low schooling, smoking habit, overweight, low physical activity practice, diabetes, and hypertension being significantly associated with stroke.
The multivariate model showed that the chance of stroke is high, both combined or isolated.
本研究的目的是通过在多变量模型中评估存在每种或所有决定因素时的中风风险，来调查生物健康、社会经济和行为决定因素与中风之间的关联。
本研究是对巴西地理与统计研究所发布的巴西全国健康调查进行的横向二次数据分析。计算主要结局的患病率、患病率比和置信区间。应用多变量回归模型，以中风为结局，将单变量分析中P值为0.20或更低的所有其他变量作为解释变量，以调整潜在的混杂因素和效应修饰因素。
平均年龄为43.3±16.6岁，范围为18至101岁。高血压患病率为21.4%，就生活习惯而言，观察到20.0%的人曾经吸烟但已戒烟，29.7%的人在过去30天内进行过体育锻炼。回归模型显示，最终模型中的优势比经过加权，低学历、吸烟习惯、超重、体育锻炼不足、糖尿病和高血压与中风显著相关。
多变量模型显示，中风的几率很高，无论是综合因素还是单一因素导致。
