Impact of Non-optimal Temperatures on Stroke Subtype, 1990-2021 and projected to 2050: a Global Systematic Analysis
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BACKGROUND
The global insight into the connection between non-optimal temperature and various stroke subtypes is still lacking. This study aimed to estimate the spatiotemporal characteristics of the burden of various stroke subtypes caused by non-optimal temperatures (1990-2021) and projected to 2050.
METHODS
Through GBD 2021, we obtained data on the global, regional, and national burden of ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) due to non-optimal temperature from 1990 to 2021. The association of non-optimal temperature with various stroke subtypes was analyzed according to socioeconomic level, sex, age, population, and other factors. Statistical analysis methods included exposure-response model, LOESS regression, Joinpoint analysis, decomposition analysis, and BAPC/ARIMA forecasting.
RESULTS
From 1990 to 2021, the age-standardized mortality rate (ASMR) of IS caused by non-optimal temperature changed by –45.41%; the age-standardized mortality rate (ASDR) changed by –44.90%, ICH (ASMR: –40.29%; ASDR: –43.84%), and SAH (ASMR: –61.11%; ASDR: –66.76%). Geospatial analysis revealed 2021 mortality disparities: Eastern Europe’s IS ASMR reached 90.99/100,000 (5.7-fold higher than Australasia), Oceania demonstrated peak ICH mortality (110.42/100,000), and SAH exhibited extreme SDI contrasts (Nauru 12.87 vs. Kuwait 0.51/100,000). Sex-stratified data showed maximal sex disparity in middle SDI regions. Age-period-cohort modeling identified aging as the dominant risk driver, with IS burden concentrated in elders, ICH displaying younger age distribution and higher temporal volatility, and SAH demonstrating disproportionate early-adulthood impacts. Decomposition analyses distinguished SDI-stratified mechanisms: high-SDI regions faced demographic aging-driven burden escalation, whereas low-SDI regions were challenged by population growth effects. Projections to 2050 indicate sustained IS predominance, with complicating ICH trends and SAH remaining stable.
CONCLUSION
There are socioeconomic and regional differences in the burden of different subtypes of stroke under non-optimal temperature, and it is necessary to integrate subtype specificity, geographic climate characteristics and socioeconomic stratification to develop targeted strategies.
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