ArticleJournal of obesity2026
Decomposition Analysis of High BMI-Attributable Stroke Burden in China: Population Aging as the Dominant Driver.
Article in Journal of obesity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Decomposition Analysis of High BMI-Attributable Stroke Burden in China: Population Aging as the Dominant Driver.Journal of obesity · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundHigh body-mass index (BMI) is the second largest contributor to stroke burden and the fastest-growing risk factor for stroke globally. Given China's rapidly aging population and the increasing obesity epidemic, understanding the long-term trends and drivers of stroke burden is critical.
objectivesHigh BMI is a chief risk factor for stroke. We aim to evaluate the long-term trends and population risk on stroke mortality burden caused by high BMI in Chinese population between 1990 and 2023.
methodsThe decomposition analysis and linear regression were utilized to determine the contribution of population aging and other risk factors to the changing trends in the mortality and disability-adjusted life year (DALYs) of stroke caused by high BMI.
resultsIn China, the mortality rate of stroke caused by high BMI increased by 1.640/100,000 during the study period of 1990-2023. The increase was decomposed as 1.180/100,000 due to population aging and 0.460/100,000 due to other risk factors, with population aging contributing 72% and other risk factors contributing 28%. The DALYs rate increased by 52.228/100,000, of which 32.999/100,000 was due to population aging and 19.229/100,000 was due to other risk factors. Notably, population aging contributed 63% of the increase. These findings confirm that population aging was the dominant driver of the increased stroke burden attributable to high BMI, whether measured by mortality or DALY.
conclusionsPopulation aging is the dominant driver of the increasing stroke burden attributable to high BMI in China. Effective burden reduction will require integrated prevention strategies targeting both the elderly population and modifiable metabolic risk factors.
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.