Comparative evaluation of inflammatory parameters and substitute insulin resistance indices in elderly women with and without type 2 diabetes mellitus
Abstract
Purpose To analyze the influence of inflammatory parameters and substitute insulin resistance indices on the risk of type 2 diabetes mellitus (DM) development in elderly women, as well as to compare anthropometric measures and metabolic parameters according to the presence of type 2 DM and HbA1c levels.Patients and methods One hundred and twenty elderly women (67.9 ± 6.0 years) were submitted to anthropometric analysis, determination of inflammatory and metabolic parameters. They also underwent indices of lipid accumulation product (LAP), high density triglyceride/lipoprotein ratio (TG/HDL), triglyceride glucose index (TyG), as well as TyG by body mass index (BMI) ratio (TyG-BMI) assessment.Results Body mass index, tumor necrosis factor alpha, interleukin-2, blood glucose, TG, LAP, TG/HDL, TyG and TyG-BMI were significantly higher in elderly women with DM compared to non-diabetic women. LAP ≥ 55.4 (OR = 2.29; P = .027); TyG ≥ 8.8 (OR = 3.52; P < .001) and TyG-BMI ≥ 264.8 (OR = 3.54; P = .001) were identified as risk factors for DM.Conclusion High pro-inflammatory parameters, low levels of anti-inflammatory markers and higher levels of substitute insulin resistance indices are risk predictors for DM development in elderly women in primary health care.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Chronic inflammation, hyperglycemia, and dyslipidemia are all involved in insulin resistance, pathogenesis of T2DM, and systematic diabetic complications.
“Growing evidence has indicated that chronic inflammation, hyperglycemia, and dyslipidemia are all involved in insulin resistance, pathogenesis of T2DM, and systematic diabetic complications [9, 10].”
From The Effect of Berberine on Metabolic Profiles in Type 2 Diabetic Patients: A Systematic Review and Meta‐Analysis of Randomized Controlled Trials (2021) · cites this paper as [10]
The citation lists haven’t been fetched yet
References 84 · Cited by 15
- Authors
- Leite, M. M., Dutra, M. T., da Costa, M. V. G., Funghetto, S. S., Silva, A. D. O., de Lima, L. R., da Silva, I. C. R., Mota, M. R., & Stival, M. M.
- Affiliations
- Universidade de Brasília (BR)
- Instituto Federal de Educação, Ciência e Tecnologia de Brasília (BR)
- University Center of Brasília (BR)
- Corresponding author
- Leite, Mateus Medeiros
- ORCID
- Venue
- Experimental Gerontology
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 150
- Pages
- 111389
- ISSN
- 0531-5565 (ISSN-L)
- OpenAlex
- W3158139053
- Cited by
- 15
- References
- 84
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 5 · 2023: 2 · 2022: 1 · 2021: 3
- FWCI
- 2.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Experimental Gerontology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Brasilia
- Fundação de Apoio à Pesquisa do Distrito Federal
- CNPq
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- type 2 diabetes, older women, insulin resistance, inflammatory markers, TNF-α, interleukin-2, triglyceride-glucose index, lipid accumulation product, triglyceride to HDL cholesterol ratio, HbA1c, diabetes risk factors, body mass index
- MeSH terms
- Aged, Blood Glucose, Diabetes Mellitus, Type 2, Female, Humans, Insulin Resistance, Cholesterol, HDL, Triglycerides
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
