Cited by 77Diabetes Management and ResearchDiabetes, Cardiovascular Risks, and LipoproteinsRetinal Diseases and Treatments

Obesity is associated with retinopathy and macrovascular disease in type 1 diabetes

Price, Sarah A., Gorelik, Alexandra, Fourlanos, Spiros, Colman, Peter G., Wentworth, John M.·2014·Obesity Research & Clinical Practice

Abstract

Excessive body weight is increasingly seen in type 1 diabetes but its impact is debated. To address this uncertainty, we aimed to determine the association between excess body weight and the macro- and microvascular complications of type 1 diabetes. We identified 501 adults with type 1 diabetes attending an Australian hospital clinic and extracted their clinical and biochemical data from our patient management database. In both men and women, obesity (BMI > 30 kg/m(2)) was the predominant risk factor for retinopathy and cardiovascular disease despite similar HbA1c and increased use of cardioprotective drugs compared to non-obese patients. Obesity was associated with albuminuria in women, but not renal impairment or neuropathy in either sex. We conclude that obesity in type 1 diabetes may promote retinopathy and macrovascular disease. Future trials to determine the effect of weight loss on type 1 diabetes in obese people are needed.

Integrity signals

Registry

Crossref · 10.1016/j.orcp.2013.03.007

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In people with established type 1 diabetes, presence of obesity can worsen insulin resistance, glycemic variability, microvascular disease complications, and cardiovascular risk factors.

    “in people with established type 1 diabetes, presence of obesity can worsen insulin resistance, glycemic variability, microvascular disease complications, and cardiovascular risk factors (184 -188).”

Cites

Flagged first, then by citations

1 of the 17 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Price, S. A., Gorelik, A., Fourlanos, S., Colman, P. G., & Wentworth, J. M.
Affiliations
The Royal Melbourne Hospital (AU)
Corresponding author
Wentworth, John M.
Venue
Obesity Research & Clinical Practice
Publisher
Elsevier BV
Published
2014-03
Volume
8
Issue
2
Pages
e178-e182
ISSN
1871-403X (ISSN-L)
OpenAlex
W2069349327
Cited by
77
References
17
Citations by year
2026: 5 · 2025: 4 · 2024: 8 · 2023: 6 · 2022: 12 · 2021: 6 · 2020: 7 · 2019: 10 · 2018: 7 · 2017: 2 · 2016: 5 · 2015: 5
FWCI
2.62
Type
journal article
Language
en
Open access
closed
Locations
  • Obesity Research & Clinical Practice (publishedVersion)
  • PubMed (publishedVersion)
  • Research Bank (Australian Catholic University) (submittedVersion)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
Keywords
obesity, type 1 diabetes, diabetic retinopathy, macroangiopathy, cardiovascular disease, body mass index, albuminuria, diabetic nephropathy, diabetic neuropathy, sex differences, weight loss
MeSH terms
Adult, Albuminuria, Australia, Blood Pressure, Cross-Sectional Studies, Diabetes Mellitus, Type 1, Diabetic Angiopathies, Diabetic Retinopathy, Female, Glycated Hemoglobin, Humans, Male, Obesity, Risk Factors, Biomarkers, Weight Loss, Body Mass Index, Odds Ratio

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review