Non-HDL cholesterol as a predictor for incident type 2 diabetes in community-dwelling adults: Longitudinal findings over 12 years

Non-HDL Cholesterol as a Predictor for Incident Type 2 Diabetes in Community-dwelling Adults: Longitudinal Findings Over 12 Years

10.21203/rs.3.rs-734933/v1 ◽

2021 ◽

Author(s):

In-Ho Seo ◽

Da-Hye Son ◽

Hye Sun Lee ◽

Yong-Jae Lee

Keyword(s):

Type 2 Diabetes ◽

Cholesterol Level ◽

Glucose Level ◽

Plasma Glucose ◽

Plasma Glucose Level ◽

Hdl Cholesterol ◽

Incident Type ◽

Confounding Variables ◽

Incident Type 2 Diabetes

Abstract BackgroundNon-high-density lipoprotein cholesterol (non-HDL cholesterol) is a simple measure to analyze the total amount of proatherogenic lipoproteins in the blood and to predict development of cardiovascular disease. However, it is unclear whether non-HDL cholesterol has a relationship with incident type 2 diabetes. This study aimed to evaluate the association between non-HDL cholesterol and incident type 2 diabetes with a large-sample, community-based Korean cohort over a 12-year period.MethodsAmong the 10,038 total participants, 7,608 (3,662 men and 3,946 women) without diabetes were selected from the Korean Genome and Epidemiology Study (KoGES). Their non-HDL cholesterol level was calculated as [total cholesterol – HDL cholesterol] mg/dL and divided into quartiles. Newly developed type 2 diabetes was defined as any of the following: a fasting plasma glucose level ≥ 126 mg/dL; a plasma glucose level ≥ 200 mg/dL at two hours after a 75-g oral glucose tolerance test; a glycosylated hemoglobin level ≥ 6.5%; or current treatment with oral anti-diabetic medications or insulin therapy. The hazard ratios (HRs) with 95% confidence intervals (CIs) for incident type 2 diabetes were calculated using multivariate Cox proportional hazards regression models after adjusting for potentially confounding variables.ResultsIn total, 1,442 individuals (18.9%: 1442 of 7608) developed type 2 diabetes during the 12-year follow up period, with an incident rate of 3.0–5.0. Compared to the reference first quartile, the HRs (95% CIs) of incident type 2 diabetes for the second, third, and fourth quartiles increased in a dose-response manner after adjusting for potentially confounding variables, including the HOMA-IR insulin resistance marker.ConclusionNon-HDL cholesterol level at baseline can be a useful predictor of new-onset type 2 diabetes.

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Prospective Associations of Systemic and Urinary Choline Metabolites with Incident Type 2 Diabetes

Clinical Chemistry ◽

10.1373/clinchem.2015.250761 ◽

2016 ◽

Vol 62 (5) ◽

pp. 755-765 ◽

Cited By ~ 31

Author(s):

Gard F T Svingen ◽

Hall Schartum-Hansen ◽

Eva R Pedersen ◽

Per M Ueland ◽

Grethe S Tell ◽

...

Keyword(s):

Type 2 Diabetes ◽

Hdl Cholesterol ◽

Prospective Data ◽

Incident Type ◽

Reactive Protein ◽

Urine Albumin ◽

Net Reclassification Improvement ◽

Incident Type 2 Diabetes

Abstract BACKGROUND Several compounds in the choline oxidation pathway are associated with insulin resistance and prevalent diabetes; however, prospective data are scarce. We explored the relationships between systemic and urinary choline-related metabolites and incident type 2 diabetes in an observational prospective study among Norwegian patients. METHODS We explored risk associations by logistic regression among 3621 nondiabetic individuals with suspected stable angina pectoris, of whom 3242 provided urine samples. Reclassification of patients was investigated according to continuous net reclassification improvement (NRI >0). RESULTS After median (25th to 75th percentile) follow-up of 7.5 (6.4–8.7) years, 233 patients (6.4%) were registered with incident type 2 diabetes. In models adjusted for age, sex, and fasting status, plasma betaine was inversely related to new-onset disease [odds ratio (OR) per 1 SD, 0.72; 95% CI, 0.62–0.83; P < 0.00001], whereas positive associations were observed for urine betaine (1.25; 1.09–1.43; P = 0.001), dimethylglycine (1.22; 1.06–1.40; P = 0.007), and sarcosine (1.30; 1.13–1.49; P < 0.001). The associations were maintained in a multivariable model adjusting for body mass index, hemoglobin A1c, urine albumin-to-creatinine ratio, estimated glomerular filtration rate, C-reactive protein, HDL cholesterol, and medications. Plasma betaine and urine sarcosine, the indices most strongly related to incident type 2 diabetes, improved reclassification [NRI >0 (95% CI) 0.33 (0.19–0.47) and 0.16 (0.01–0.31), respectively] and showed good within-person reproducibility. CONCLUSIONS Systemic and urinary concentrations of several choline metabolites were associated with risk of incident type 2 diabetes, and relevant biomarkers may improve risk prediction.

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44: High triglycerides, low HDL cholesterol, and small LDL particles predict incident type 2 diabetes in non-diabetic coronary patients

Journal of Clinical Lipidology ◽

10.1016/j.jacl.2008.08.045 ◽

2008 ◽

Vol 2 (5) ◽

pp. S20-S21

Keyword(s):

Type 2 Diabetes ◽

Hdl Cholesterol ◽

Incident Type ◽

Ldl Particles ◽

Incident Type 2 Diabetes ◽

Coronary Patients ◽

Low Hdl

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Association of Apolipoprotein B with Incident Type 2 Diabetes in an Aboriginal Canadian Population1

Clinical Chemistry ◽

10.1373/clinchem.2009.136994 ◽

2010 ◽

Vol 56 (4) ◽

pp. 666-670 ◽

Cited By ~ 35

Author(s):

Sylvia H Ley ◽

Stewart B Harris ◽

Philip W Connelly ◽

Mary Mamakeesick ◽

Joel Gittelsohn ◽

...

Keyword(s):

Type 2 Diabetes ◽

Apolipoprotein B ◽

Odds Ratio ◽

Ldl Cholesterol ◽

Hdl Cholesterol ◽

Apo B ◽

Incident Type ◽

Incident Type 2 Diabetes

Abstract Background: Expanding evidence indicates that apolipoprotein B (apo B) is superior to LDL cholesterol as a marker of vascular disease. Although traditional lipid measures are known to predict type 2 diabetes, limited data are available regarding apo B. We assessed the association of apo B with incident type 2 diabetes and compared it with traditional lipid variables as a risk predictor in aboriginal Canadians. Methods: Of an initial cohort of 606 individuals without diabetes in 1993–1995, 540 were contacted for the 10-year follow-up evaluation in 2003–2005. Fasting and 2-h postload glucose concentrations were obtained at baseline and follow-up to determine incident type 2 diabetes. Baseline fasting serum lipids were measured with standard laboratory procedures. Results: The cumulative 10-year incidence of type 2 diabetes was 17.5%. High concentrations of apo B, triglycerides, and LDL cholesterol, and low concentrations of HDL cholesterol were individually associated with incident type 2 diabetes in univariate analyses. Comparing C statistics of univariate models showed apo B to be a superior determinant of incident diabetes compared with LDL (P = 0.026) or HDL (P = 0.004) cholesterol. With multivariate adjustment including waist circumference, apo B (odds ratio, 1.50; 95% CI, 1.11–2.02) and triglycerides (odds ratio, 1.49; 95% CI, 1.12–1.98) remained associated with incident diabetes, whereas LDL and HDL cholesterol became nonsignificant. Conclusions: The association of plasma apo B with incident type 2 diabetes and its better prediction of risk compared with LDL or HDL cholesterol suggest the potential for the use of apo B in type 2 diabetes risk communication and prevention.

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Association between variations in the TLR4gene and incident type 2 diabetes is modified by the ratio of total cholesterol to HDL-cholesterol

BMC Medical Genetics ◽

10.1186/1471-2350-9-9 ◽

2008 ◽

Vol 9 (1) ◽

Cited By ~ 21

Author(s):

Melanie Kolz ◽

Jens Baumert ◽

Martina Müller ◽

Natalie Khuseyinova ◽

Norman Klopp ◽

...

Keyword(s):

Type 2 Diabetes ◽

Total Cholesterol ◽

Hdl Cholesterol ◽

Incident Type ◽

Incident Type 2 Diabetes

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Meal frequency and incidence of type 2 diabetes: a prospective study

British Journal Of Nutrition ◽

10.1017/s0007114521003226 ◽

2021 ◽

pp. 1-6

Author(s):

Xiaowen Wang ◽

Yonghua Hu ◽

Li-Qiang Qin ◽

Jia-Yi Dong

Keyword(s):

Type 2 Diabetes ◽

Lower Risk ◽

Dietary Habits ◽

Community Dwelling ◽

Meal Frequency ◽

Incident Type ◽

Incident Type 2 Diabetes ◽

A Prospective Study ◽

Baseline Bmi

Abstract Dietary habits play an important role in the development of obesity and type 2 diabetes. However, evidence on association between diet frequency and type 2 diabetes was limited and inconclusive. We aimed to examine the association between meal frequency and risk of type 2 diabetes. The cohort study used data from China Health and Retirement Longitudinal Study of 8874 community-dwelling people aged over 45 years. Participants were classified as eating two meals per day, three meals per day and four meals per day. Multiple Poisson regression models were used to examine risk of 4-year incident type 2 diabetes among people who ate more or less than three meals per day compared with people who ate three meals per day. We documented 706 type 2 diabetes cases during follow-up. After adjustment for known risk factors for type 2 diabetes, except for BMI, participants who ate four meals per day were at a lower risk of type 2 diabetes than those who ate three meals per day (relative risk(RR) = 0·73 (0·58, 0·92)). After further adjustment for baseline BMI, the association was slightly attenuated but remained statistically significant (RR = 0·76 (0·60, 0·97)). Subgroup analysis showed that the fully adjusted RR of type 2 diabetes for people eating four meals per day were 0·66 (0·48, 0·91) and 0·93 (0·65, 1·34) among those had a BMI < 25 and ≥ 25 kg/m2, respectively. Eating four meals per day, compared with eating three meals per day was associated with lower risk of developing type 2 diabetes in a Chinese population, particularly in those with a BMI < 25 kg/m2.

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