Toward a Cohort Perspective of Climate Epidemiology: The Case of Examining Intergenerational Inequalities in Susceptibility to Non-Optimal Temperatures in Japan.

IF 10.1 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Environmental Health Perspectives Pub Date : 2025-02-01 Epub Date: 2025-02-06 DOI:10.1289/EHP15226
Lei Yuan, Yasushi Honda, Lina Madaniyazi, Aurelio Tobias, Chris Fook Sheng Ng, Masahiro Hashizume
{"title":"Toward a Cohort Perspective of Climate Epidemiology: The Case of Examining Intergenerational Inequalities in Susceptibility to Non-Optimal Temperatures in Japan.","authors":"Lei Yuan, Yasushi Honda, Lina Madaniyazi, Aurelio Tobias, Chris Fook Sheng Ng, Masahiro Hashizume","doi":"10.1289/EHP15226","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Younger generations are projected to experience more severe climate exposure impacts during their lifetimes than older generations as global warming progresses. Despite the increasing evidence of the recent temporal changes in heat-related mortality risks, there remains a lack of research exploring this association from a cohort perspective.</p><p><strong>Objective: </strong>Our objective was to quantify the variation in susceptibility to short-term effects of non-optimal temperature on mortality, across generations and over the life course of specific generations, using a novel age-period-cohort approach.</p><p><strong>Methods: </strong>An extended two-stage analytical approach was applied to a nationwide mortality dataset covering individuals born from 1866 to 2019 in all 47 prefectures in Japan. Daily mortality counts observed between 1972 and 2019 were aggregated into 5-year birth cohorts and corresponding age groups of the decedents. For each prefecture and birth cohort, the age-dependent association between ambient temperature and daily mortality was modeled using conditional quasi-Poisson regression. Then, the prefecture-specific associations were pooled across cohorts, separately for each age group, using a repeated-measure meta-regression. To model the intergenerational changes in risks, a nonlinear, continuous term for cohort was applied in the meta-analysis.</p><p><strong>Results: </strong>A total of 29 million all-cause deaths were analyzed. The relative risk (RR) of heat-related mortality (99th temperature percentile compared to minimum mortality temperature) decreased across generations for elder adults (65-89 years of age), from <math><mrow><mtext>RR</mtext><mo>=</mo><mn>1.18</mn></mrow></math> [95% confidence interval (CI): 1.13, 1.23] for those born in 1901-1905 to <math><mrow><mtext>RR</mtext><mo>=</mo><mn>1.04</mn></mrow></math> (95% CI: 1.01, 1.07) for those born in 1926-1930 (<math><mrow><mi>p</mi><mtext>-trend</mtext><mo>=</mo><mn>0.004</mn></mrow></math>). Similar to heat-related risk, the cold-related mortality risk (at first percentile) also decreased across the same cohorts (<math><mrow><mi>p</mi><mtext>-trend</mtext><mo><</mo><mn>0.001</mn></mrow></math>). The predicted continuous trends in heat- and cold-related mortality risks exhibited a nonlinear decline across generations. An inconsistent pattern was observed for middle-aged people (40-64 years of age) born between 1930 and 1960, with a slight increase in risks for cold and heat over generations. For cohort-specific risk trajectories, heat- and cold-related mortality risks generally increased with age, after 60 years old.</p><p><strong>Discussion: </strong>This nationwide, individual-level study adopted a novel cohort perspective to investigate how population susceptibility to short-term non-optimal temperature exposure varies across generations. Our findings revealed disparities in susceptibility between generations, highlighting the importance for researchers and policymakers to consider cohort differences in efforts to promote future health advancements and reduce inequalities. https://doi.org/10.1289/EHP15226.</p>","PeriodicalId":11862,"journal":{"name":"Environmental Health Perspectives","volume":"133 2","pages":"27003"},"PeriodicalIF":10.1000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11801431/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Health Perspectives","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1289/EHP15226","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Younger generations are projected to experience more severe climate exposure impacts during their lifetimes than older generations as global warming progresses. Despite the increasing evidence of the recent temporal changes in heat-related mortality risks, there remains a lack of research exploring this association from a cohort perspective.

Objective: Our objective was to quantify the variation in susceptibility to short-term effects of non-optimal temperature on mortality, across generations and over the life course of specific generations, using a novel age-period-cohort approach.

Methods: An extended two-stage analytical approach was applied to a nationwide mortality dataset covering individuals born from 1866 to 2019 in all 47 prefectures in Japan. Daily mortality counts observed between 1972 and 2019 were aggregated into 5-year birth cohorts and corresponding age groups of the decedents. For each prefecture and birth cohort, the age-dependent association between ambient temperature and daily mortality was modeled using conditional quasi-Poisson regression. Then, the prefecture-specific associations were pooled across cohorts, separately for each age group, using a repeated-measure meta-regression. To model the intergenerational changes in risks, a nonlinear, continuous term for cohort was applied in the meta-analysis.

Results: A total of 29 million all-cause deaths were analyzed. The relative risk (RR) of heat-related mortality (99th temperature percentile compared to minimum mortality temperature) decreased across generations for elder adults (65-89 years of age), from RR=1.18 [95% confidence interval (CI): 1.13, 1.23] for those born in 1901-1905 to RR=1.04 (95% CI: 1.01, 1.07) for those born in 1926-1930 (p-trend=0.004). Similar to heat-related risk, the cold-related mortality risk (at first percentile) also decreased across the same cohorts (p-trend<0.001). The predicted continuous trends in heat- and cold-related mortality risks exhibited a nonlinear decline across generations. An inconsistent pattern was observed for middle-aged people (40-64 years of age) born between 1930 and 1960, with a slight increase in risks for cold and heat over generations. For cohort-specific risk trajectories, heat- and cold-related mortality risks generally increased with age, after 60 years old.

Discussion: This nationwide, individual-level study adopted a novel cohort perspective to investigate how population susceptibility to short-term non-optimal temperature exposure varies across generations. Our findings revealed disparities in susceptibility between generations, highlighting the importance for researchers and policymakers to consider cohort differences in efforts to promote future health advancements and reduce inequalities. https://doi.org/10.1289/EHP15226.

气候流行病学的队列视角:研究日本非最佳温度易感性的代际不平等的案例。
背景:随着全球变暖的进展,预计年轻一代在其一生中将比老一代经历更严重的气候暴露影响。尽管越来越多的证据表明,最近与热相关的死亡风险发生了时间变化,但从队列角度探索这种关联的研究仍然缺乏。目的:我们的目的是量化非最佳温度对死亡率短期影响的易感性变化,跨代和特定代的生命过程中,使用一种新的年龄-时期-队列方法。方法:将扩展的两阶段分析方法应用于覆盖日本所有47个县1866年至2019年出生的个人的全国死亡率数据集。1972年至2019年期间观察到的每日死亡率统计汇总为5岁出生队列和死者的相应年龄组。对于每个县和出生队列,使用条件准泊松回归对环境温度和日死亡率之间的年龄依赖性关联进行建模。然后,使用重复测量的元回归,将各县特定的关联汇总到每个年龄组的队列中。为了模拟风险的代际变化,在荟萃分析中使用了一个非线性的连续术语队列。结果:共分析了2900万例全因死亡。老年人(65-89岁)热相关死亡率的相对危险度(相对于最低死亡温度的第99个温度百分位数)在各代之间下降,从1901-1905年出生的RR=1.18[95%可信区间(CI): 1.13, 1.23]到1926-1930年出生的RR=1.04 (95% CI: 1.01, 1.07) (p-trend=0.004)。与热相关的风险类似,在同一队列中,与冷相关的死亡风险(第一个百分位数)也有所下降(p趋势为0.001)。预测的与热和冷相关的死亡率风险的持续趋势在几代人之间表现出非线性的下降。在1930年至1960年之间出生的中年人(40-64岁)中观察到的模式不一致,几代人患感冒和热的风险略有增加。对于特定队列的风险轨迹,60岁以后,热和冷相关的死亡风险通常随年龄增加。讨论:这项全国性的、个体水平的研究采用了一种新颖的队列视角来调查人群对短期非最佳温度暴露的易感性如何在代际之间变化。我们的研究结果揭示了代际间易感性的差异,强调了研究人员和政策制定者在促进未来健康进步和减少不平等的努力中考虑队列差异的重要性。https://doi.org/10.1289/EHP15226。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Environmental Health Perspectives
Environmental Health Perspectives 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
14.40
自引率
2.90%
发文量
388
审稿时长
6 months
期刊介绍: Environmental Health Perspectives (EHP) is a monthly peer-reviewed journal supported by the National Institute of Environmental Health Sciences, part of the National Institutes of Health under the U.S. Department of Health and Human Services. Its mission is to facilitate discussions on the connections between the environment and human health by publishing top-notch research and news. EHP ranks third in Public, Environmental, and Occupational Health, fourth in Toxicology, and fifth in Environmental Sciences.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信