Gronlund Carina J, Berrocal Veronica J, White-Newsome Jalonne L, Conlon Kathryn C, O'Neill Marie S
University of Michigan School of Public Health, Center for Social Epidemiology and Population Health, 2669 SPH Tower, 1415 Washington Heights, Ann Arbor, MI 48109-2029, USA; University of Michigan School of Public Health, Department of Environmental Health Sciences, 1415 Washington Heights, Ann Arbor, MI, 48109-2029, USA.
University of Michigan School of Public Health, Department of Biostatistics, 1415 Washington Heights, Ann Arbor, MI 48109-2029, USA.
Environ Res. 2015 Jan;136:449-61. doi: 10.1016/j.envres.2014.08.042. Epub 2014 Nov 25.
We examined how individual and area socio-demographic characteristics independently modified the extreme heat (EH)-mortality association among elderly residents of 8 Michigan cities, May-September, 1990-2007.
In a time-stratified case-crossover design, we regressed cause-specific mortality against EH (indicator for 4-day mean, minimum, maximum or apparent temperature above 97th or 99 th percentiles). We examined effect modification with interactions between EH and personal marital status, age, race, sex and education and ZIP-code percent "non-green space" (National Land Cover Dataset), age, race, income, education, living alone, and housing age (U.S. Census).
In models including multiple effect modifiers, the odds of cardiovascular mortality during EH (99 th percentile threshold) vs. non-EH were higher among non-married individuals (1.21, 95% CI=1.14-1.28 vs. 0.98, 95% CI=0.90-1.07 among married individuals) and individuals in ZIP codes with high (91%) non-green space (1.17, 95% CI=1.06-1.29 vs. 0.98, 95% CI=0.89-1.07 among individuals in ZIP codes with low (39%) non-green space). Results suggested that housing age may also be an effect modifier. For the EH-respiratory mortality association, the results were inconsistent between temperature metrics and percentile thresholds of EH but largely insignificant.
Green space, housing and social isolation may independently enhance elderly peoples' heat-related cardiovascular mortality vulnerability. Local adaptation efforts should target areas and populations at greater risk.
我们研究了个体和地区社会人口学特征如何独立改变1990 - 2007年5月至9月密歇根州8个城市老年居民中极端高温(EH)与死亡率之间的关联。
在时间分层病例交叉设计中,我们将特定病因死亡率与EH(4天平均温度、最低温度、最高温度或高于第97或99百分位数的表观温度指标)进行回归分析。我们通过EH与个人婚姻状况、年龄、种族、性别、教育程度以及邮政编码区域“非绿色空间”百分比(国家土地覆盖数据集)、年龄、种族、收入、教育程度、独居情况和住房年限(美国人口普查数据)之间的交互作用来检验效应修正。
在包含多个效应修正因素的模型中,与非EH期间相比,EH期间(第99百分位数阈值)心血管疾病死亡率的比值比在未婚个体中更高(1.21,95%置信区间=1.14 - 1.28,而已婚个体中为0.98,95%置信区间=0.90 - 1.07),在邮政编码区域非绿色空间比例高(91%)的个体中也更高(1.17,95%置信区间=1.06 - 1.29,而邮政编码区域非绿色空间比例低(39%)的个体中为0.98,95%置信区间=0.89 - 1.07)。结果表明住房年限也可能是一个效应修正因素。对于EH与呼吸道疾病死亡率之间的关联,温度指标和EH的百分位数阈值之间的结果不一致,且大多不显著。
绿色空间、住房和社会隔离可能独立增加老年人与高温相关的心血管疾病死亡易感性。地方适应措施应针对风险更高的地区和人群。