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      Heatwave warnings mitigate long-term cardiovascular diseases risk from heat-related illness: a real-world prospective cohort study

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          Summary

          Background

          Global warming is intensifying, exacerbating associated health issues. Heat-related illness, a critical risk during heatwaves, significantly impacts public health, yet its long-term health effects remain poorly understood. We established a cohort to investigate these health impact and explore the mitigative role of heatwave warnings.

          Methods

          Our cohort study enrolled 9,658,745 participants free of cardiovascular disease (CVD) at baseline from 1332 hospitals and 922 primary care centres in Shenzhen, China. The cohort was observed and followed up from January 1, 2017, to July 31, 2023. We utilized Cox proportional hazards model to analyse CVD incidence among participants who had heat-related illness versus those who did not, and further assessed causal relationship using instrumental variable approach. We employed stratified logistic regression to explore the protective effects of heatwave warning policies.

          Findings

          Among 9,658,745 participants followed up to 6 years, 238,278 (2.47%) developed CVD. People who developed CVD were generally older, male, with a higher degree of education, and with more hospital admissions before baseline. Heat-related illness was associated with CVD, with a hazard ratio of CVD 2.526 (95% CI = 2.301–2.773) among patients with heat-related illness compared with those without heat-related illness, and instrumental variable approach analysis suggested causation. Issuing heatwave warnings reduced hospital admissions for heat-related illness (OR [95% CI] = 0.902 [0.832–0.977]) and future CVD risk (OR [95% CI] = 0.964 [0.946–0.982]). The mitigative role of heatwave warnings suggested delayed effect, with mitigative effect at greatest magnitude one to two days after issuance for heat-related illness admission and three to four days for CVD.

          Interpretation

          Our study suggested that heat-related illness has significant long-term impacts on future CVD incidence, which can be mitigated by heatwave warnings.

          Funding

          This study was supported by the doi 10.13039/501100001809, National Natural Science Foundation of China; (No. 42277419), the doi 10.13039/501100012151, Sanming Project of Medicine in Shenzhen; (No. SZSM202111001), and the Research Fund of Vanke School of Public Health in Tsinghua University.

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          Most cited references33

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          Heat Stroke

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            Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling.

            The paper focuses on two estimation methods that have been widely used to address endogeneity in empirical research in health economics and health services research-two-stage predictor substitution (2SPS) and two-stage residual inclusion (2SRI). 2SPS is the rote extension (to nonlinear models) of the popular linear two-stage least squares estimator. The 2SRI estimator is similar except that in the second-stage regression, the endogenous variables are not replaced by first-stage predictors. Instead, first-stage residuals are included as additional regressors. In a generic parametric framework, we show that 2SRI is consistent and 2SPS is not. Results from a simulation study and an illustrative example also recommend against 2SPS and favor 2SRI. Our findings are important given that there are many prominent examples of the application of inconsistent 2SPS in the recent literature. This study can be used as a guide by future researchers in health economics who are confronted with endogeneity in their empirical work.
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              An introduction to instrumental variables for epidemiologists.

              Instrumental-variable (IV) methods were invented over 70 years ago, but remain uncommon in epidemiology. Over the past decade or so, non-parametric versions of IV methods have appeared that connect IV methods to causal and measurement-error models important in epidemiological applications. This paper provides an introduction to those developments, illustrated by an application of IV methods to non-parametric adjustment for non-compliance in randomized trials.
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                Author and article information

                Contributors
                Journal
                Lancet Reg Health West Pac
                Lancet Reg Health West Pac
                The Lancet Regional Health: Western Pacific
                Elsevier
                2666-6065
                24 January 2025
                February 2025
                24 January 2025
                : 55
                : 101468
                Affiliations
                [a ]Vanke School of Public Health, Tsinghua University, Beijing, 100084, China
                [b ]School of Medicine, Tsinghua University, Beijing, 100084, China
                [c ]School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
                [d ]Guangming District Center for Disease Control and Prevention, Shenzhen, 518106, China
                [e ]Shenzhen Health Development Research and Data Management Center, Shenzhen, 518000, China
                [f ]Information Technology & Security Test and Evaluation Center, The Fifteenth Research Institute of China Electronics Technology Group Corporation, Beijing, 518000, China
                [g ]Institute for Healthy China, Tsinghua University, Beijing, 100084, China
                [h ]School of Public Health, Soochow University, Suzhou, 215006, China
                Author notes
                []Corresponding author. queeninggu@ 123456163.com
                [∗∗ ]Corresponding author. Vanke School of Public Health, Tsinghua University, Beijing, 100084, China. qiandi@ 123456tsinghua.edu.cn
                [i]

                Three authors contribute equally with Qi Huang, Limei Ke, Linfeng Liu.

                Article
                S2666-6065(25)00005-7 101468
                10.1016/j.lanwpc.2025.101468
                11804821
                04e4fbf5-cc5c-495e-afaf-e684552e72e8
                © 2025 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 17 July 2024
                : 10 December 2024
                : 6 January 2025
                Categories
                Articles

                heat-related illness,cardiovascular disease,instrumental variable,heatwave warnings

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