Global and regional burden of cardiovascular diseases due to non-optimal temperature exposure: a systematic analysis with forecasts to 2050

自回归积分移动平均 气候变化 疾病负担 医学 环境卫生 人口学 全球卫生 地理 公共卫生 时间序列 人口 统计 生态学 数学 护理部 社会学 生物
作者
Diptismita Jena,Bijaya Kumar Padhi
出处
期刊:QJM: An International Journal of Medicine [Oxford University Press]
标识
DOI:10.1093/qjmed/hcaf002
摘要

Abstract Background Cardiovascular diseases (CVD) are leading contributors to global morbidity and mortality, significantly influenced by non-optimal temperatures. This study projects the impact of temperature fluctuations on CVD through 2050, considering environmental and climate changes. Methods Using Global Burden of Disease (GBD) study data, we analysed age-standardized death rates (ASDR) and disability-adjusted life years (ASR DALYs) related to non-optimal temperatures. We applied Estimated Annual Percentage Change (EAPC) for trend analysis and Auto-Regressive Integrated Moving Average (ARIMA) models for forecasting CVD mortality and DALYs from 2022 to 2050. Results EAPC analysis revealed a decline in CVD mortality rates, with a decrease of -0.32% for males (95% CI: -0.39% to -0.24%) and -0.42% for females (95% CI: -0.48% to -0.36%), indicating reduced mortality from non-optimal temperatures. Regions with higher Socio-Demographic Index (SDI) showed more significant declines. ARIMA forecasts predict a substantial increase in CVD burden with deaths projected to rise from 1.2 million in 2022 to 1.9 million by 2050, and DALYs expected to increase from 2.4 million to over 3 million during the same period. Conclusion The projected rise in CVD due to temperature variability highlights the need for robust health systems integrated with climate action to mitigate risks. This research underscores the importance of advancing SDG 3.4 to reduce non-communicable disease mortality and emphasizes climate considerations in health planning per SDG 13.
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