Evidence map›Paper›PMID 42380798›Full record

ArticleBMC public health2026

Does the obesity paradox truly exist? A study on the relationship between different degrees of obesity and stroke incidence and mortality based on the UK Biobank.

Ling Shi, Siqi Zhai, Jing Shi, Fan Zhang, Zhiren Zhang, Zhenwei Pan, Maoyi Tian, Zhongling Zhang, Zengxiang Dong, Yue Li

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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Ling Shi *Key Laboratory of Cell Transplantation, the First Affiliated Hospital, Harbin Medical University, Harbin, 150001, China.
Siqi Zhai *Key Laboratory of Cell Transplantation, the First Affiliated Hospital, Harbin Medical University, Harbin, 150001, China.
Jing Shi *Department of Cardiology, the First Affiliated Hospital, Harbin Medical University, Youzheng Street 23#, Nangang District, Harbin, 150001, China.
Fan ZhangKey Laboratory of Cell Transplantation, the First Affiliated Hospital, Harbin Medical University, Harbin, 150001, China.
Zhiren ZhangDepartments of Cardiology and Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Zhenwei PanDepartment of Pharmacology (The Key Laboratory of Cardiovascular Research, Ministry of Education) at College of Pharmacy, Harbin Medical University, Harbin, 150001, China.
Maoyi TianDepartment of General Practice, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Zhongling ZhangDepartment of Neurology, the First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Zengxiang DongKey Laboratory of Cell Transplantation, the First Affiliated Hospital, Harbin Medical University, Harbin, 150001, China.
Yue Li *Department of Cardiology, the First Affiliated Hospital, Harbin Medical University, Youzheng Street 23#, Nangang District, Harbin, 150001, China. ly99ly@hrbmu.edu.cn.

Funding

National Key R&D Program of China 2024YFA1307000the Chinese Society of Cardiology's Foundation CSCF2020B01the Key Research and Development Plan of Heilongjiang Province JD2023sj44the National Natural Science Foundation of China 82300430the Natural Science Fund Research Team Project of Heilongjiang Provincial Development of Science and Technology TD2023H001the Outstanding Youth Program of The First Affiliated Hospital of Harbin Medical University 2024YQ24the State Key Program of National Natural Science Foundation of China No.82330014
6 · The paper itself

Abstract

backgroundObesity has been associated with increased incidence and severity of various cardiovascular risk factors, as well as an elevated risk of stroke. However, the evidence of its effect on outcomes in stroke patients has been equivocal. Previous studies have documented the obesity paradox in stroke, characterized by a negative correlation between BMI and stroke mortality. To address the limitations of relying solely on BMI in previous investigations, notably the documented obesity paradox linking BMI to stroke mortality, our study incorporates additional obesity metrics beyond BMI. We aimed to comprehensively evaluate the relationship between obesity and stroke outcomes, thereby providing a more holistic understanding of their association.

methodsThe present study included 502,128 participants from the UK Biobank database. Cox proportional hazard models were performed to determine the associations of indicators, including BMI, WC, WHR, WHtR and BFP with the incidence and mortality of stroke.

resultsIncreased BMI was associated with elevated stroke incidence and mortality, with the lowest risk observed in the BMI range of 18-24 kg/m². Both lower BMI (17≤BMI<18.5 kg/m²) and higher BMI (BMI≥25 kg/m²) were linked to higher incidence and mortality of stroke. In contrast, other obesity-related indicators (WC, WHR, WHtR and BFP) exhibited more pronounced linear relationships with the incidence of stroke, all-cause mortality in the total population, stroke mortality in the total population and all-cause mortality in stroke patients. However, no significant differences were found in stroke-specific mortality among underweight, normal weight, overweight and obese groups in stroke patients across various obesity indicators, suggesting no obvious association between obesity and stroke-specific mortality in stroke patients under the current definitions and adjustments in this study. Notably, stroke severity, acute care, and complications were not available in the analysis, and residual confounding from these unmeasured factors cannot be ruled out. Furthermore, our analyses on the relationships between several obesity subtypes with different metabolic health statuses and stroke incidence and mortality revealed that, regardless of normal weight or not, individuals with metabolic abnormalities had significantly higher incidence and mortality of stroke compared to those with normal metabolism. This highlights the importance of metabolic status in the onset and prognosis of stroke.

conclusionsOur findings demonstrate that stroke-specific mortality in stroke patients was not associated with obesity severity when assessed using multiple obesity indicators including BMI, WC, WHR, WHtR and BFP. This is inconsistent with previous observations of the obesity paradox. Meanwhile, the observation that individuals with metabolic abnormalities exhibit significantly higher stroke incidence and mortality compared to those with normal metabolism further confirms the adverse impact of metabolic disturbances on stroke risk and prognosis, underscoring the pivotal role of metabolic health in stroke management.

Indexed as

ObesityObesity ParadoxStrokeAgedBody Mass IndexFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsRisk FactorsUK BiobankUnited KingdomMetabolic subtypes of obesityObesityObesity paradoxStroke

Identifiers

PMID42380798
PMCPMC13644032

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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.