The authors are with EPIUnit-Instituto de Saúde Pública and Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal.
Am J Public Health. 2020 Jul;110(7):1060-1067. doi: 10.2105/AJPH.2020.305661. Epub 2020 May 21.
To examine the association between residence in different housing typologies and all-cause and cause-specific mortality, and to compare with the 25 × 25 risk factors defined by the World Health Organization. We used data from EPIPorto cohort (Porto, Portugal; n = 2485). We georeferenced and matched participants to a housing type-conventional, affordable, social, or substandard housing (locally called ). We used Poisson regression models to estimate mortality rates and associations. Age- and sex-adjusted mortality rates (per 100 000 person-years) were 713 (95% confidence interval [CI] = 584, 863) for individuals residing in conventional housing, and 1019 (95% CI = 637, 1551), 1200 (95% CI = 916, 1551), and 1239 (95% CI = 839, 1772) for individuals residing in affordable housing, social housing, and , respectively. After further adjustment, the associations between mortality and residence in social housing (rate ratio [RR] = 1.59; 95% CI = 1.22, 2.06) and in (RR = 1.64; 95% CI = 1.12, 2.33) remained. The association between disadvantaged housing and mortality was stronger than that observed for well-established risk factors such as hypertension, sedentariness, heavy drinking, manual occupation, or obesity. Disadvantaged housing is a major risk factor for mortality that should be accounted for by health policies and surveillance systems.
为了研究居住在不同住房类型与全因和特定原因死亡率之间的关系，并将其与世界卫生组织定义的 25×25 个风险因素进行比较，我们使用了 EPIPorto 队列（葡萄牙波尔图；n=2485）的数据。我们对参与者进行了地理定位，并将他们与传统住房、经济适用房、社会住房或劣质住房（当地称为 ）进行匹配。我们使用泊松回归模型来估计死亡率和相关性。经过年龄和性别调整后的死亡率（每 100000 人年）分别为居住在传统住房中的个体的 713（95%置信区间[CI] = 584，863），居住在经济适用房、社会住房和 中的个体分别为 1019（95% CI = 637，1551）、1200（95% CI = 916，1551）和 1239（95% CI = 839，1772）。进一步调整后，社会住房（RR=1.59；95% CI = 1.22，2.06）和 （RR=1.64；95% CI = 1.12，2.33）居住与死亡率之间的关联仍然存在。弱势住房与死亡率之间的关联强于高血压、久坐不动、大量饮酒、体力劳动或肥胖等既定风险因素。弱势住房是导致死亡率的一个主要风险因素，健康政策和监测系统应该考虑到这一点。
