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the claim

People with a normal or low body mass index can develop type 2 diabetes.

the verdict
INSUFFICIENT LEANING
Recorded sources
8 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that people with a normal or low body mass index can develop type 2 diabetes?

Unclear. Several sources partially support the claim: one study suggests underweight and normal-weight people show glucose intolerance and may be at increased risk of later type 2 diabetes, and another notes South Asians develop type 2 diabetes at a lower body mass index. Other items only touch on body composition or BMI as a risk feature without directly establishing that normal or low BMI people develop type 2 diabetes.

Verdict: PARTIAL LEAN · 8 sources for, 0 against · Last checked

The private library was unavailable for some searches in this check. Missing library results are not evidence against the claim.

Evidence for · 8
2015
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Relationship between Low Muscle Mass and Metabolic Syndrome in Elderly People with Normal Body Mass Index. (2015). doi.org. https://doi.org/10.11005/jbm.2015.22.3.99

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More for · 7
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Lean body mass and risk of type 2 diabetes - a Danish cohort study - PMC Lock. (n.d.). pmc.ncbi.nlm.nih.gov. https://doi.org/10.1007/s40200-019-00438-7

2026
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D, K., A, N., JC, K., & W, L. (2026). Improving Precision Diagnosis and Treatment of Diabetes in Low-Resource Settings in Africa Through Structured Clinical Phenotyping: A Narrative Review.. doi.org. https://doi.org/10.1007/s13300-026-01881-5

2026
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Arsenyadis, F., Henson, J., McCarthy, M., Papamargaritis, D., King, J. A., Redman, E. L., Whelehan, G., Wilkinson, T. J., Sargeant, J., Rowlands, A. V., Boulé, N. G., Dasgupta, K., McCann, G., Davies, M. J., Khunti, K., Choudhary, P., & Yates, T. (2026). Combining structured exercise with a low-energy diet to attenuate lean mass loss in South Asian adults living with type 2 diabetes: the COMBINE randomised trial protocol. doi.org. https://doi.org/10.1136/bmjopen-2025-110459

2021
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Lama, L., Wilhelmsson, O., Norlander, E., Gustafsson, L., Lager, A., Tynelius, P., Wärvik, L., & Östenson, C. (2021). Machine learning for prediction of diabetes risk in middle-aged Swedish people. doi.org. https://doi.org/10.1016/j.heliyon.2021.e07419

2021
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Kasturiratne, A., Khawaja, K., Ahmad, S., Siddiqui, S., Shahzad, K., Athauda, L., Jayawardena, R., Mahmood, S., Muilwijk, M., Batool, T., Burney, S., Glover, M., Palaniswamy, S., Bamunuarachchi, V., Panda, M., Madawanarachchi, S., Rai, B. K., Sattar, I., Silva, W., & Waghdhare, S. (2021). The iHealth-T2D study, prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes: study protocol for a randomised controlled trial. doi.org. https://doi.org/10.1186/s13063-021-05803-7

2021
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Association of Body Composition with Type 2 Diabetes: A Retrospective Chart Review Study. (2021). doi.org. https://doi.org/10.3390/ijerph18094421

2011
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Impaired glucose tolerance in healthy men with low body weight. (2011). doi.org. https://doi.org/10.1186/1475-2891-10-16

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