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Observational Study
. 2022 May 15;21(1):44.
doi: 10.1186/s12944-022-01655-5.

Association of LDL:HDL ratio with prediabetes risk: a longitudinal observational study based on Chinese adults

Maobin Kuang #  1 , Nan Peng #  1 , Jiajun Qiu #  1 , Yanjia Zhong  2 , Yang Zou  3 , Guotai Sheng  4
Affiliations
Observational Study

Association of LDL:HDL ratio with prediabetes risk: a longitudinal observational study based on Chinese adults

Maobin Kuang et al. Lipids Health Dis. .

Abstract

Background: Low-density lipoprotein:high-density lipoprotein cholesterol ratio (LDL:HDL ratio) has a good performance in identifying diabetes mellitus (DM) and insulin resistance. However, it is not yet clear whether the LDL:HDL ratio is associated with a high-risk state of prediabetes.

Methods: This cohort study retrospectively analyzed the data of 100,309 Chinese adults with normoglycemia at baseline. The outcome event of interest was new-onset prediabetes. Using multivariate Cox regression and smoothing splines to assess the association of LDL:HDL ratio with prediabetes.

Results: During an average observation period of 37.4 months, 12,352 (12.31%) subjects were newly diagnosed with prediabetes. After adequate adjustment for important risk factors, the LDL:HDL ratio was positively correlated with the prediabetes risk, and the sensitivity analysis further suggested the robustness of the results. Additionally, in stratified analysis, we discovered significant interactions between LDL:HDL ratio and family history of DM, sex, body mass index and age (all P-interaction < 0.05); among them, the LDL:HDL ratio-related prediabetes risk decreased with the growth of body mass index and age, and increased significantly in women and people with a family history of DM.

Conclusions: The increased LDL:HDL ratio in the Chinese population indicates an increased risk of developing prediabetes, especially in women, those with a family history of DM, younger adults, and non-obese individuals.

Keywords: Chinese adults; LDL:HDL ratio; Longitudinal cohort; Prediabetes.

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Conflict of interest statement

The author reports no conflicts of interest in this work.

Figures

Fig. 1
Fig. 1
Flow diagram of subjects included in the cohort study
Fig. 2
Fig. 2
Kaplan-Meier analysis of future prediabetes risk according to LDL:HDL ratio quartiles. LDL:HDL ratio: low-density lipoprotein:high-density lipoprotein cholesterol ratio
Fig. 3
Fig. 3
Hazard ratios (95% confidence intervals) for the non-linear relationship between LDL:HDL ratio and the risk of prediabetes. LDL:HDL ratio: low-density lipoprotein:high-density lipoprotein cholesterol ratio
See this image and copyright information in PMC

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References

    1. Kuzuya T. Early diagnosis, early treatment and the new diagnostic criteria of diabetes mellitus. Br J Nutr. 2000;84(Suppl 2):S177–S181. doi: 10.1079/096582197388644. - DOI - PubMed
    1. DeFronzo RA, Ferrannini E, Zimmet P, Alberti K. International textbook of diabetes mellitus, two volume set. 4. Wiley-Blackwell; 2015.
    1. GBD 2016 Disease and Injury Incidence and Prevalence Collaborators Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1211–59. 10.1016/S0140-6736(17)32154-2. - PMC - PubMed
    1. Echouffo-Tcheugui JB, Selvin E. Prediabetes and what it means: the epidemiological evidence. Annu Rev Public Health. 2021;42(1):59–77. doi: 10.1146/annurev-publhealth-090419-102644. - DOI - PMC - PubMed
    1. Wang L, Gao P, Zhang M, Huang Z, Zhang D, Deng Q, Li Y, Zhao Z, Qin X, Jin D, Zhou M, Tang X, Hu Y, Wang L. Prevalence and ethnic pattern of diabetes and prediabetes in China in 2013. JAMA. 2017;317(24):2515–2523. doi: 10.1001/jama.2017.7596. - DOI - PMC - PubMed

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