Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan,Italy.
Department of Physics, Università degli Studi di Milano, Milan,Italy.
J Phys Act Health. 2023 Mar 27;20(5):394-401. doi: 10.1123/jpah.2022-0189. Print 2023 May 1.
COVID-19 containment measures curb viral spread but may hamper walking mobility. As a low daily step count is associated with increased noncommunicable diseases and mortality, assessing the relationship between pandemic responses and walking mobility can help trade-off public health measures. We investigated the association between containment stringency and walking mobility across 60 countries in the period between January 21, 2020 and January 21, 2022 and modeled how this could impact mortality hazard.
Walking mobility was measured through the Apple Mobility Trends, containment measures stringency index through the Oxford COVID-19 response tracker (which considers local policies on closures, healthcare, and economy), and meteorological data by National Oceanic and Atmospheric Administration weather stations. Walking mobility was regressed over stringency in a mixed-effect model with weather variables as covariates. The impact of stringency on all-cause mortality due to reduced mobility was modeled based on regression results, prepandemic walking mobility, and the association between step count and all-cause mortality hazard.
Across the 60 countries, the average stringency was 55 (9) (mean [SD]) out of 100. Stringency was negatively associated with walking mobility; a log-linear model fitted data better than a linear one, with a regression coefficient for stringency on ln (walking mobility) (95% confidence interval) of -1.201 × 10-2 (-1.221 × 10-2 to -1.183 × 10-2). Increasing stringency, thus decreasing walking mobility, nonlinearly incremented the modeled all-cause mortality hazard by up to ∼40%.
In this study, walking mobility was negatively associated with containment measures stringency; the relationship between stringency, mobility, and the subsequent impact on health outcomes may be nonlinear. These findings can help in balancing pandemic containment policies.
新冠病毒防控措施可以抑制病毒传播,但可能会妨碍步行活动能力。由于每日步数较少与非传染性疾病和死亡率增加有关,因此评估大流行应对措施与步行活动能力之间的关系有助于权衡公共卫生措施。我们调查了 2020 年 1 月 21 日至 2022 年 1 月 21 日期间 60 个国家的防控措施严格程度与步行活动能力之间的关系,并建立模型来分析这种关系如何影响死亡率风险。
通过苹果移动趋势数据测量步行活动能力,通过牛津新冠病毒应对追踪器(该工具考虑了关闭措施、医疗保健和经济方面的本地政策)测量防控措施严格程度指数,并通过美国国家海洋和大气管理局气象站测量气象数据。将天气变量作为协变量,在混合效应模型中对步行活动能力进行严格程度回归。根据回归结果、大流行前的步行活动能力以及步数与全因死亡率风险之间的关联,对由于活动能力降低导致的严格防控措施对全因死亡率的影响进行建模。
在这 60 个国家中,平均严格程度为 100 分中的 55(9)分。严格程度与步行活动能力呈负相关;对数线性模型比线性模型更适合拟合数据,严格程度对 ln(步行活动能力)的回归系数(95%置信区间)为-1.201×10-2(-1.221×10-2 至-1.183×10-2)。因此,随着严格程度的增加,即步行活动能力的降低,模型预测的全因死亡率风险非线性增加了最多约 40%。
在这项研究中,步行活动能力与防控措施严格程度呈负相关;严格程度、活动能力与随后对健康结果的影响之间的关系可能是非线性的。这些发现有助于平衡大流行防控政策。