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May 8, 2026European Stroke Journal0 citationsOpen Access

Abstract Number: Esoc2026a1119 the Association Between Bmi, Metabolic Health, and Stroke Risk. A Prospective Cohort Study With Time-Updated Covariates

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OHOskar HultstrandAJAnton JernbergEGEva‐Lotta Glader

Key Result

Obesity independently increased the risk of stroke compared to normal weight (HR 1.36; 95% CI 1.27-1.45), with combined obesity and poor metabolic health conferring the highest risk.

Key Points

  • This research aims to understand how body mass index (BMI) and metabolic health affect the risk of stroke.
  • Analyzed 132,045 participants from the Northern Sweden Health and Disease Study (1985-2022)
  • Identified stroke events via national registers and used Cox models with time-updated covariates
  • Employed machine learning (XGBoost-AFT) to assess complex relationships between BMI and stroke risk.
  • Overweight independently increased stroke risk (HR: 1.14; 95% CI: 1.08-1.20)
  • Obesity further raised risk (HR: 1.36; 95% CI: 1.27-1.45)
  • Poor metabolic health was significantly associated with stroke risk (HR: 1.51; 95% CI: 1.42-1.62), especially in combination with obesity (HR: 1.79; 95% CI: 1.67-1.93).

Study Design

Type

Cohort (n=132,045)

Structured PICO

Do overweight and obesity increase the risk of stroke independently of metabolic health in a general population cohort?

P
Population
132,045 participants from the Northern Sweden Health and Disease Study
I
Intervention
Overweight and obesity (assessed via BMI) and poor metabolic health
C
Comparator
Normal weight and metabolically healthy individuals
O
Outcome
Stroke events identified via national registershard clinical

Overweight and obesity independently increase the risk of stroke, even in metabolically healthy individuals, with stronger associations observed at younger ages.

Main Result

Effect estimate: HR 1.36 (95% CI 1.27-1.45)

Abstract

Abstract Background and aims The global prevalence of overweight and obesity is rising, yet the independent contribution of adiposity to stroke risk remains debated, particularly among metabolically healthy individuals. Methods We analyzed 132,045 participants from the Northern Sweden Health and Disease Study with repeated health examinations (1985-2022). Stroke events were identified via national registers. Body mass index (BMI) was modeled as continuous (splines) and categorical (WHO definitions). Cox models with time-updated covariates estimated hazard ratios (HRs), and machine learning (XGBoost-AFT) assessed complex relationships. Results Over a median 20.2-year follow-up (2.67 million person-years), 7,493 strokes occurred. In fully adjusted models, overweight (HR: 1.14; 95% CI: 1.08-1.20) and obesity (HR: 1.36; 95% CI: 1.27-1.45) independently increased stroke risk versus normal weight. Poor metabolic health was also strongly associated (HR: 1.51; 95% CI: 1.42-1.62) with increased stroke risk. Combined obesity and poor metabolic health conferred the highest risk (HR: 1.79; 95% CI: 1.67-1.93). Age modified the association between higher BMI and stroke risk (p-interaction = 0.007), with stronger associations at younger ages. Machine learning confirmed the BMI-stroke risk pattern. Conclusions Overweight and obesity are independent stroke risk factors, even among metabolically healthy individuals. Prevention strategies should address excess weight alongside metabolic risk, particularly in younger adults. Conflict of interest Marie Eriksson: nothing to disclose. Oskar Hultstrand: nothing to disclose. Anton Jernberg: nothing to disclose. Eva-Lotta Glader: nothing to disclose. David Darehed: nothing to disclose.

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Cite This Study

Hultstrand et al. (2026) conducted a cohort in Stroke (n=132,045). Overweight and obesity vs. Normal weight was evaluated on Stroke events (HR 1.36, 95% CI 1.27-1.45). Obesity independently increased the risk of stroke compared to normal weight (HR 1.36; 95% CI 1.27-1.45), with combined obesity and poor metabolic health conferring the highest risk.

synapsesocial.com/papers/69fd7e00bfa21ec5bbf06281https://doi.org/10.1093/esj/aakag023.562
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