Association between Diabetes and Anemia: Evidence from NHANES and the UK Biobank Article Swipe
YOU?
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· 2025
· Open Access
·
· DOI: https://doi.org/10.2337/figshare.28509227.v1
Objective: To explore the association between diabetes and anemia. Research Design and Methods: We included 9,026 and 389,616 participants from the US National Health and Nutrition Examination Surveys (NHANES) and the UK Biobank study (UKB), respectively. Multivariable logistic regression was used to examine the cross-sectional association of diabetes with anemia, as defined by hemoglobin measurement. For the UKB follow up, multivariable Cox proportional hazards regression was performed to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of incident anemia, as defined by hemoglobin levels or diagnosis records, in relation to diabetes. We further assessed the impact of inflammation, renal dysfunction and medication use on this association in both populations.Results: Among white people aged 40─69 years from the US and UK, the adjusted odds of having anemia in participants with diagnosed diabetes was two-four times higher than in those with normal glycemia. Over a median follow up of 13.6 years in the UKB, 42,354 people developed anemia. The adjusted HRs for incident anemia comparing diagnosed diabetes with normal glycemia were 3.05 (95% CI: 2.90─3.21) for iron deficiency anemia, 3.02 (95% CI: 2.51─3.63) for anemia of chronic disease, and 4.88 (95% CI: 4.23─5.63) for B12 deficiency anemia. Further adjustment for inflammation, renal dysfunction and medication use, partially attenuated these associations but they remained strong and significant. Conclusions: Diabetes was observed to be associated with several major types of anemia. Further studies are warranted to identify the mechanisms.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.2337/figshare.28509227.v1
- https://diabetesjournals.figshare.com/articles/figure/Association_between_Diabetes_and_Anemia_Evidence_from_NHANES_and_the_UK_Biobank/28509227/1/files/52668086.pdf
- OA Status
- gold
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408692432
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4408692432Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2337/figshare.28509227.v1Digital Object Identifier
- Title
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Association between Diabetes and Anemia: Evidence from NHANES and the UK BiobankWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-03-21Full publication date if available
- Authors
-
Danyang Wang, Jedidiah I Morton, Agus Salim, Jonathan E. Shaw, Dianna J. MaglianoList of authors in order
- Landing page
-
https://doi.org/10.2337/figshare.28509227.v1Publisher landing page
- PDF URL
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https://diabetesjournals.figshare.com/articles/figure/Association_between_Diabetes_and_Anemia_Evidence_from_NHANES_and_the_UK_Biobank/28509227/1/files/52668086.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://diabetesjournals.figshare.com/articles/figure/Association_between_Diabetes_and_Anemia_Evidence_from_NHANES_and_the_UK_Biobank/28509227/1/files/52668086.pdfDirect OA link when available
- Concepts
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Biobank, Diabetes mellitus, Medicine, Association (psychology), National Health and Nutrition Examination Survey, Anemia, Environmental health, Internal medicine, Psychology, Endocrinology, Bioinformatics, Biology, Population, PsychotherapistTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Nutrition | 27 |
| abstract_inverted_index.comparing | 166 |
| abstract_inverted_index.developed | 158 |
| abstract_inverted_index.diabetes. | 93 |
| abstract_inverted_index.diagnosed | 133, 167 |
| abstract_inverted_index.diagnosis | 88 |
| abstract_inverted_index.glycemia. | 144 |
| abstract_inverted_index.intervals | 77 |
| abstract_inverted_index.partially | 208 |
| abstract_inverted_index.performed | 68 |
| abstract_inverted_index.warranted | 235 |
| abstract_inverted_index.</p> | 240 |
| abstract_inverted_index.adjustment | 200 |
| abstract_inverted_index.associated | 225 |
| abstract_inverted_index.attenuated | 209 |
| abstract_inverted_index.confidence | 76 |
| abstract_inverted_index.deficiency | 179, 197 |
| abstract_inverted_index.hemoglobin | 55, 85 |
| abstract_inverted_index.medication | 104, 206 |
| abstract_inverted_index.regression | 40, 66 |
| abstract_inverted_index.Examination | 28 |
| abstract_inverted_index.association | 5, 47, 108 |
| abstract_inverted_index.dysfunction | 102, 204 |
| abstract_inverted_index.mechanisms. | 239 |
| abstract_inverted_index.2.51─3.63) | 184 |
| abstract_inverted_index.2.90─3.21) | 176 |
| abstract_inverted_index.4.23─5.63) | 194 |
| abstract_inverted_index.associations | 211 |
| abstract_inverted_index.measurement. | 56 |
| abstract_inverted_index.participants | 20, 131 |
| abstract_inverted_index.proportional | 64 |
| abstract_inverted_index.significant. | 217 |
| abstract_inverted_index.Multivariable | 38 |
| abstract_inverted_index.inflammation, | 100, 202 |
| abstract_inverted_index.multivariable | 62 |
| abstract_inverted_index.respectively. | 37 |
| abstract_inverted_index.</p><p | 10, 218 |
| abstract_inverted_index.cross-sectional | 46 |
| abstract_inverted_index.dir="ltr">Research | 11 |
| abstract_inverted_index.dir="ltr">Results: | 112 |
| abstract_inverted_index.dir="ltr">Objective: | 1 |
| abstract_inverted_index.dir="ltr">Conclusions: | 219 |
| abstract_inverted_index.populations.</p><p | 111 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.80057405 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |