Cargando…
Non-linear association of atherogenic index of plasma with insulin resistance and type 2 diabetes: a cross-sectional study
BACKGROUND: Although there is numerous evidence on the epidemiological risk factors for insulin resistance (IR)-related metabolic diseases, there is still insufficient evidence to explore the non-linear association of Atherogenic Index of Plasma (AIP) with IR. Therefore, we aimed to elucidate the no...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311747/ https://www.ncbi.nlm.nih.gov/pubmed/37386500 http://dx.doi.org/10.1186/s12933-023-01886-5 |
_version_ | 1785066805680668672 |
---|---|
author | Yin, Bei Wu, Zihong Xia, Yaqing Xiao, Shunqiang Chen, Lingling Li, Yousheng |
author_facet | Yin, Bei Wu, Zihong Xia, Yaqing Xiao, Shunqiang Chen, Lingling Li, Yousheng |
author_sort | Yin, Bei |
collection | PubMed |
description | BACKGROUND: Although there is numerous evidence on the epidemiological risk factors for insulin resistance (IR)-related metabolic diseases, there is still insufficient evidence to explore the non-linear association of Atherogenic Index of Plasma (AIP) with IR. Therefore, we aimed to elucidate the non-linear relationship between AIP and IR and type 2 diabetes (T2D). METHODS: This cross-sectional study was conducted in the National Health and Nutrition Survey (NHANES) from 2009 to 2018. A total of 9,245 participants were included in the study. The AIP was calculated as log10 (triglycerides/high-density lipoprotein cholesterol). The outcome variables included IR and T2D defined by the 2013 American Diabetes Association guidelines. The weighted multivariate linear regression, weighted multivariate logistic regression, subgroup analysis, generalized additive model, smooth fitting curve and two-part logistic regression were adopted to reveal the relationship of AIP with IR and T2D. RESULTS: After adjustment for age, gender, race, education level, smoking status, alcohol consumption, vigorous/moderate physical activity, body mass index, waist circumference and hypertension, we found that AIP was positively associated with fasting blood glucose (β = 0.08, 95% CI: 0.06, 0.10), glycosylated hemoglobin (β = 0.04, 95% CI: 0.39, 0.58), fasting serum insulin (β = 4.26, 95% CI: 3.73, 4.79), and homeostasis model assessment of insulin resistance (β = 0.22, 95% CI: 0.18, 0.25). Further studies found that AIP was associated with increased risk of IR (OR = 1.29, 95% CI: 1.26–1.32) and T2D (OR = 1.18, 95% CI: 1.15–1.22). However, the positive association between AIP and IR or T2D was more significant in female than in male (IR: P for interaction = 0.0135; T2D: P for interaction = 0.0024). A non-linear and inverse L-shaped association was found between AIP and IR, while a J-shaped association was found between AIP and T2D. In patients with − 0.47 < AIP < 0.45, increased AIP was significantly associated with increased risk of IR and T2D. CONCLUSIONS: AIP showed an inverse L-shaped association with IR and a J-shaped association with T2D, indicating that AIP should be reduced to a certain level to prevent IR and T2D. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-01886-5. |
format | Online Article Text |
id | pubmed-10311747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103117472023-07-01 Non-linear association of atherogenic index of plasma with insulin resistance and type 2 diabetes: a cross-sectional study Yin, Bei Wu, Zihong Xia, Yaqing Xiao, Shunqiang Chen, Lingling Li, Yousheng Cardiovasc Diabetol Research BACKGROUND: Although there is numerous evidence on the epidemiological risk factors for insulin resistance (IR)-related metabolic diseases, there is still insufficient evidence to explore the non-linear association of Atherogenic Index of Plasma (AIP) with IR. Therefore, we aimed to elucidate the non-linear relationship between AIP and IR and type 2 diabetes (T2D). METHODS: This cross-sectional study was conducted in the National Health and Nutrition Survey (NHANES) from 2009 to 2018. A total of 9,245 participants were included in the study. The AIP was calculated as log10 (triglycerides/high-density lipoprotein cholesterol). The outcome variables included IR and T2D defined by the 2013 American Diabetes Association guidelines. The weighted multivariate linear regression, weighted multivariate logistic regression, subgroup analysis, generalized additive model, smooth fitting curve and two-part logistic regression were adopted to reveal the relationship of AIP with IR and T2D. RESULTS: After adjustment for age, gender, race, education level, smoking status, alcohol consumption, vigorous/moderate physical activity, body mass index, waist circumference and hypertension, we found that AIP was positively associated with fasting blood glucose (β = 0.08, 95% CI: 0.06, 0.10), glycosylated hemoglobin (β = 0.04, 95% CI: 0.39, 0.58), fasting serum insulin (β = 4.26, 95% CI: 3.73, 4.79), and homeostasis model assessment of insulin resistance (β = 0.22, 95% CI: 0.18, 0.25). Further studies found that AIP was associated with increased risk of IR (OR = 1.29, 95% CI: 1.26–1.32) and T2D (OR = 1.18, 95% CI: 1.15–1.22). However, the positive association between AIP and IR or T2D was more significant in female than in male (IR: P for interaction = 0.0135; T2D: P for interaction = 0.0024). A non-linear and inverse L-shaped association was found between AIP and IR, while a J-shaped association was found between AIP and T2D. In patients with − 0.47 < AIP < 0.45, increased AIP was significantly associated with increased risk of IR and T2D. CONCLUSIONS: AIP showed an inverse L-shaped association with IR and a J-shaped association with T2D, indicating that AIP should be reduced to a certain level to prevent IR and T2D. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-01886-5. BioMed Central 2023-06-29 /pmc/articles/PMC10311747/ /pubmed/37386500 http://dx.doi.org/10.1186/s12933-023-01886-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Yin, Bei Wu, Zihong Xia, Yaqing Xiao, Shunqiang Chen, Lingling Li, Yousheng Non-linear association of atherogenic index of plasma with insulin resistance and type 2 diabetes: a cross-sectional study |
title | Non-linear association of atherogenic index of plasma with insulin resistance and type 2 diabetes: a cross-sectional study |
title_full | Non-linear association of atherogenic index of plasma with insulin resistance and type 2 diabetes: a cross-sectional study |
title_fullStr | Non-linear association of atherogenic index of plasma with insulin resistance and type 2 diabetes: a cross-sectional study |
title_full_unstemmed | Non-linear association of atherogenic index of plasma with insulin resistance and type 2 diabetes: a cross-sectional study |
title_short | Non-linear association of atherogenic index of plasma with insulin resistance and type 2 diabetes: a cross-sectional study |
title_sort | non-linear association of atherogenic index of plasma with insulin resistance and type 2 diabetes: a cross-sectional study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311747/ https://www.ncbi.nlm.nih.gov/pubmed/37386500 http://dx.doi.org/10.1186/s12933-023-01886-5 |
work_keys_str_mv | AT yinbei nonlinearassociationofatherogenicindexofplasmawithinsulinresistanceandtype2diabetesacrosssectionalstudy AT wuzihong nonlinearassociationofatherogenicindexofplasmawithinsulinresistanceandtype2diabetesacrosssectionalstudy AT xiayaqing nonlinearassociationofatherogenicindexofplasmawithinsulinresistanceandtype2diabetesacrosssectionalstudy AT xiaoshunqiang nonlinearassociationofatherogenicindexofplasmawithinsulinresistanceandtype2diabetesacrosssectionalstudy AT chenlingling nonlinearassociationofatherogenicindexofplasmawithinsulinresistanceandtype2diabetesacrosssectionalstudy AT liyousheng nonlinearassociationofatherogenicindexofplasmawithinsulinresistanceandtype2diabetesacrosssectionalstudy |