Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Apr 6;18(1):90.
doi: 10.1186/s12944-019-1034-3.

Prevalence of dyslipidemia associated with complications in diabetic patients: a nationwide study in Thailand

Affiliations

Prevalence of dyslipidemia associated with complications in diabetic patients: a nationwide study in Thailand

Ploypun Narindrarangkura et al. Lipids Health Dis. .

Abstract

Background: Dyslipidemia is an important modifiable risk factor for cardiovascular disease. It is diagnosed by the presence of an abnormal lipid profile, primarily with elevated levels of plasma cholesterol, triglyceride, or both, or reduced levels of high-density lipoprotein cholesterol. However, some studies have reported increased risk of ischemic stroke with elevated low-density lipoprotein cholesterol (LDL-C) levels and increased risk of cardiovascular mortality independent of LDL-C levels in type 2 diabetes mellitus (T2DM) patients.

Methods: In this cross-sectional study, data were included for Thai adults with diabetes from the Diabetes Mellitus/ Hypertension (DM/HT) study, 2010-2014 (data was collected by the Medical Research Network of the Consortium of Thai Medical Schools). The target population comprised T2DM patients who were treated at a hospital for more than 12 months. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were calculated to determine factors associated with dyslipidemia.

Results: In total, 140,557 participants (average age, 60 years) were enrolled, with a dyslipidemia prevalence of 88.9% in the cohort. The factors associated with dyslipidemia included female sex (aOR: 1.47, 95% CI: 1.38-1.56); age < 50 years (aOR: 1.16, 95% CI: 1.10-1.22); waist circumference ≥ 90 cm in males and ≥ 80 cm in females (aOR: 1.23, 95% CI: 1.16-1.31); treatment at a primary care unit (aOR: 1.28, 95% CI: 1.23-1.33); and a history of unknown stroke (aOR: 1.10, 95% CI: 1.02-1.19), coronary revascularization (aOR: 0.85, 95% CI: 0.79-0.91), diabetic nephropathy (aOR: 1.06, 95% CI: 1.01-1.12), or renal insufficiency (aOR: 1.08, 95% CI: 1.02-1.13).

Conclusions: Dyslipidemia is prevalent among Thai T2DMpatients and is associated with gender; age; obesity; central obesity; treatment at a primary care unit; and a history of unknown stroke, coronary revascularization, diabetic nephropathy, and renal insufficiency. Our study results will help increase the awareness of healthcare providers regarding dyslipidemia in diabetic patients. To reduce cardiovascular risk, healthcare professionals should provide regular follow-up and proper advice and ensure primary prevention of vascular complications. Improved education and increased self-awareness regarding the need to change behaviors and regular intake of medication would help decrease dyslipidemia prevalence among diabetic patients.

Keywords: Complications; Diabetes; Dyslipidemia; Prevalence; T2DM; Thailand.

PubMed Disclaimer

Conflict of interest statement

Ethics approval and consent to participate

This study was reviewed and approved by the Institutional Review Board of Royal Thai Army Medical Department (S058 h/60_Exp).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

    1. Qi L, Ding X, Tang W, Li Q, Mao D, Wang Y. Prevalence and risk factors associated with dyslipidemia in Chongqing, China. Int J Environ Res and Public Health. 2015;12:13455–13465. doi: 10.3390/ijerph121013455. - DOI - PMC - PubMed
    1. Wilson PWF, D’Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation. 1998;97:1837–1847. doi: 10.1161/01.CIR.97.18.1837. - DOI - PubMed
    1. Houston Mark. Integrative Medicine. 2018. Dyslipidemia; p. 264-275.e5.
    1. Huang PL. A comprehensive definition for metabolic syndrome. Dis Model Mech. 2009;2:231–237. doi: 10.1242/dmm.001180. - DOI - PMC - PubMed
    1. Toth PP, Potter D, Ming EE. Prevalence of lipid abnormalities in the United States: the National Health and nutrition examination survey 2003–2006. J Clin Lipidol. 2012;6:325–330. doi: 10.1016/j.jacl.2012.05.002. - DOI - PubMed

MeSH terms