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October 2, 2025Frontiers in Clinical Diabetes and Healthcare2 citationsOpen Access

Obesity paradox in individuals with type 1 diabetes

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HHHidetaka Hamasaki

Key Points

  • Individuals with type 1 diabetes show increased risks of cardiovascular events and all-cause mortality linked to BMI.
  • Cohort studies indicate that higher BMI does not confer protection, challenging the obesity paradox in T1D.
  • Assessment of body composition is vital, given that skeletal muscle mass and fat distribution influence health risks.
  • Future research should focus on integrating body composition metrics in evaluating obesity-related outcomes in T1D.

Abstract

The obesity paradox describes a counterintuitive phenomenon where overweight or mildly obese individuals with chronic diseases show better survival compared to those with normal weight. While this paradox has been reported in conditions such as heart failure and type 2 diabetes, its presence in type 1 diabetes (T1D) remains uncertain. This mini review summarizes current evidence from large cohort studies and a meta-analysis examining the association between body mass index (BMI) and clinical outcomes in individuals with T1D. Most findings do not support a protective effect of higher BMI; instead, both underweight and obesity are associated with increased risks of cardiovascular events and all-cause mortality. Notably, some evidence suggests that individuals with advanced diabetic nephropathy or chronic kidney disease (CKD) may show the lowest mortality at mildly elevated BMI levels. However, these observations may reflect the limitations of using BMI alone to evaluate obesity. Given that individuals with T1D often have reduced skeletal muscle mass, and that those with advanced diabetic complications or comorbidities such as CKD or cancer may develop cachexia, body composition analysis is essential. Accurate assessment of fat mass, muscle mass, bone mass, and water content is critical for understanding obesity-related risks. Future research should integrate body composition metrics to improve risk stratification in T1D.

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Cite This Study

Hidetaka Hamasaki (2025) studied this question.

synapsesocial.com/papers/68de6f3683cbc991d0a22357https://doi.org/10.3389/fcdhc.2025.1670312
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Body-Mass Index and Mortality among Adults with Incident Type 2 Diabetes2014 · 431 citations
  2. 2Association between Body Mass Index and Mortality in Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis2023 · 12 citations
  3. 3Effect of Body Weight on Glycaemic Indices in People with Type 1 Diabetes Using Continuous Glucose Monitoring2024 · 7 citations
  4. 4Prevalence and risk factors for skeletal muscle mass loss in individuals with type 1 diabetes2024 · 3 citations
  5. 5Prevalence of diagnosed type 1 and type 2 diabetes among US adults in 2016 and 2017: population based study2018 · 562 citations