Seasonal impact of diurnal temperature range on intracerebral hemorrhage in middle-aged and elderly people in central China

• Published in: Epidemiology and health 2024-01, Vol.46, p.e2024053
• Main Authors: Wang, Shiwen, Yin, Jinyu, Zhou, Hao, Lai, Jingmin, Xiao, Guizhen, Tong, Zhuoya, Deng, Jing, Yang, Fang, Shi, Qianshan, Shi, Jingcheng
• Format: Article
• Language: English
• Subjects: Aged; Aged, 80 and over; Cerebral Hemorrhage - epidemiology; China - epidemiology; Female; Hospitalization - statistics & numerical data; Humans; Male; Middle Aged; Original; Seasons; Temperature
• ISSN: 2092-7193; 2092-7193
• DOI: 10.4178/epih.e2024053

This study investigated the seasonal impact of diurnal temperature range (DTR) on hospitalization rates for intracerebral hemorrhage (ICH) in middle-aged and elderly adults. We collected data on the DTR and hospitalization records of ≥45-year-old patients with ICH in 2019 in Hunan Province, central China. Time-series analyses were performed using a distributed lag non-linear model. Overall, 54,690 hospitalizations for ICH were recorded. DTR showed a non-linear relationship with ICH hospitalization in both middle-aged and elderly populations (45-59 and ≥60 years, respectively). During spring, a low DTR coupled with persistently low temperatures increased ICH risk in both age groups, while a high DTR was associated with an increased risk in the middle-aged group only (relative risk [RR], 1.24; 95% confidence interval [CI], 1.21 to 1.27). In the summer, a low DTR combined with persistently high temperatures was linked to a higher risk exclusively in the middle-aged group. A high DTR in the autumn was correlated with increased risk in both age groups. In winter, either a low DTR with a continuously low temperature or a high DTR elevated the risk solely in the elderly population (RR, 1.37; 95% CI, 1.00 to 1.69). In the elderly group, the impact of DTR on hospitalization risk manifested within a 5-day period. The impact of DTR on ICH hospitalization risk differed significantly across seasons and between age groups. Elderly individuals demonstrated greater sensitivity to the impact of DTR. Weather forecasting services should emphasize DTR values, and interventions targeting sensitive populations are needed.