» Articles » PMID: 6617413

The Role of Circulating Glucose and Triglyceride Concentrations and Their Interactions with Other "risk Factors" As Determinants of Arterial Disease in Nine Diabetic Population Samples from the WHO Multinational Study

Overview
Journal Diabetes Care
Specialty Endocrinology
Date 1983 Jul 1
PMID 6617413
Citations 49
Authors
Affiliations
Soon will be listed here.
Abstract

In 9 of the 14 national samples of diabetic patients assembled for the WHO Multinational Study of Vascular Disease in Diabetes additional laboratory data made it possible to relate manifestations of macrovascular disease to blood glucose concentrations as well as to diabetes duration and to other potential determinants. In five of the samples, serum triglyceride concentrations were also measured and were included in simple and multivariate analyses. Ischemic heart disease defined from Minnesota-coded EKGs and standardized WHO questionnaires was more strongly associated with serum triglyceride concentrations than with serum cholesterol concentrations, an association less notable in non-insulin-dependent diabetic patients. Ischemic heart disease was not related to the single fasting plasma glucose estimated for this study. Stroke and amputation were much more strongly related to the known duration of diabetes than was ischemic heart disease, and they were both related to blood glucose concentration measured at the time of study. Despite major variation in arterial disease prevalence rates between collaborating centers, risk for diabetic women appeared to equal that for diabetic men. The major variation in arterial disease prevalence between national groups could be accounted for only in part by the risk factors studied. Other factors, genetic or more likely environmental, are likely to contribute to the variation in arterial disease susceptibility and, if definable, may be potentially preventable.

Citing Articles

Insulin Resistance in relation to Hypertension and Dyslipidaemia among Men Clinically Diagnosed with Type 2 Diabetes.

Alidu H, Dapare P, Quaye L, Amidu N, Bani S, Banyeh M Biomed Res Int. 2023; 2023:8873226.

PMID: 37274075 PMC: 10238133. DOI: 10.1155/2023/8873226.


Antihyperglycemic Potential of Fruits via Inhibition of 11β-HSD Type 1 Enzyme: In Silico and In Vivo Approach.

Wahab S, Khalid M, Alqarni M, Elagib M, Bahamdan G, Foudah A J Clin Med. 2023; 12(6).

PMID: 36983154 PMC: 10051293. DOI: 10.3390/jcm12062152.


Effects of Miao sour soup on hyperlipidemia in high-fat diet-induced obese rats via the AMPK signaling pathway.

Yang H, Xie J, Wang N, Zhou Q, Lu Y, Qu Z Food Sci Nutr. 2021; 9(8):4266-4277.

PMID: 34401077 PMC: 8358355. DOI: 10.1002/fsn3.2394.


A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.

Dinh A, Miertschin S, Young A, Mohanty S BMC Med Inform Decis Mak. 2019; 19(1):211.

PMID: 31694707 PMC: 6836338. DOI: 10.1186/s12911-019-0918-5.


Antihyperlipidemic Effect, Identification and Isolation of the Lipophilic Components from Artemisia integrifolia.

Xu Y, Wang Q, Bao W, Pa B Molecules. 2019; 24(4).

PMID: 30781592 PMC: 6412335. DOI: 10.3390/molecules24040725.