Del Brutto Oscar H, Mera Robertino M, Recalde Bettsy Y, Rumbea Denisse A, Sedler Mark J
School of Medicine and Research Center, Universidad Espíritu Santo - Ecuador, Samborondón, Ecuador.
Biostatistics/Epidemiology, Freenome, Inc., South San Francisco, CA, USA.
Prev Med Rep. 2021 Dec 13;25:101668. doi: 10.1016/j.pmedr.2021.101668. eCollection 2022 Feb.
Life's Simple 7 is an initiative of the American Heart Association developed for stratifying risk factors associated with adverse vascular outcomes and premature mortality. While this scale has been widely used, there is limited information on its applicability to individuals living in remote communities where risk factors and lifestyles differ from those found in urban settings. This longitudinal prospective study aimed to assess, according to the Life's Simple 7 scale, all-cause mortality in community-dwelling middle-age and older adults of Amerindian ancestry living in rural Ecuador. A total of 933 Atahualpa residents aged ≥ 40 years who received baseline interviews and procedures for measurement of cardiovascular health (CVH) metrics were enrolled and followed-up for a median of 8 years (interquartile range: 4-9 years). Using a Poisson regression model (adjusted for age at baseline, gender and the level of education), the predicted incidence rate of mortality was 4.22 per 100 person-years (95% C.I.: 2.48-5.97) for individuals with 0-1 CVH metrics in the ideal range, which decreased to 1.23 (95% C.I.: 0.24-2.21) for those with five ideal metrics. In an adjusted Cox-proportional hazard model that included all the CVH metrics, having three or more metrics in the ideal range significantly reduced the mortality hazard ratio when compared with individuals having 0-2 ideal metrics. Study results emphasize the usefulness of the Life's Simple 7 scale to estimate mortality risk in Amerindians living in remote communities. Control of CVH metrics should prove cost-effective for reducing premature deaths in underserved populations.
“生命简单七要素”是美国心脏协会发起的一项倡议,旨在对与不良血管结局和过早死亡相关的风险因素进行分层。虽然这一量表已被广泛使用,但关于其在偏远社区个体中的适用性信息有限,这些社区的风险因素和生活方式与城市地区不同。这项纵向前瞻性研究旨在根据“生命简单七要素”量表评估居住在厄瓜多尔农村的美洲印第安血统社区中老年人的全因死亡率。共有933名年龄≥40岁的阿塔瓦尔帕居民接受了基线访谈和心血管健康(CVH)指标测量程序,并进行了为期8年的中位随访(四分位间距:4 - 9年)。使用泊松回归模型(根据基线年龄、性别和教育水平进行调整),理想范围内CVH指标为0 - 1个的个体,预测死亡率为每100人年4.22例(95%置信区间:2.48 - 5.97),而理想指标为5个的个体,该数值降至1.23(95%置信区间:0.24 - 2.21)。在一个包含所有CVH指标的调整后Cox比例风险模型中,与理想指标为0 - 2个的个体相比,理想范围内有三个或更多指标可显著降低死亡风险比。研究结果强调了“生命简单七要素”量表在估计偏远社区美洲印第安人死亡风险方面的有用性。控制CVH指标对于降低服务不足人群的过早死亡应具有成本效益。