ArticleBMC public health2025
Impact of apparent temperature on specific cardiovascular disease admissions: a time-series study and association modification in Xiangyang, China.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundThe effects of temperature variations on different types of cardiovascular disease (CVD) and the moderating roles of sociodemographic factors such as age, gender, and residential area remain poorly understood.
methodUsing a retrospective time-series design, this study analyzed hospital admission records from 2018 to 2022, including 70,108 CVD patients in Xiangyang city, China. Distributed lag non-linear models (DLNM) were applied to examine the association of apparent temperature (AT) with hospital admissions for specific CVD types. Gender, age, and residential location were considered as potential moderators, with adjustments for confounders like air pollution and seasonal variations.
resultsTemperature extremes significantly influence CVD admissions. Hot effect were associated with a 16.80% increase in ischemic heart disease (IHD) admissions, while other CVD types showed minimal change. Cold effect had more pronounced and sustained effects, with a 15.52% increase in overall CVD admissions and significant rises in hypertensive diseases (27.16%), pulmonary heart disease (177.45%), and IHD (16.77%). Gender, age, and rural residence significantly modified the temperature-CVD relationship, with women, the elderly, and rural residents at heightened risk during extreme temperatures.
conclusionThis study demonstrates a significant association between temperature extremes and CVD admissions, with high temperatures notably increasing the risk of IHD, particularly among women. Cold temperatures exert a more prolonged effect, leading to higher rates of IHD, hypertensive diseases, and pulmonary heart disease. Vulnerable groups, including the elderly, women, and rural residents, are most affected. These findings underscore the necessity for targeted public health strategies to mitigate the health impacts of extreme temperatures on these at-risk populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.