Accelerated Biological Aging is Associated With Increased Risk of T2DM in the MASLD Population
About this study
The association between biological aging and type 2 diabetes mellitus (T2DM) incidence in individuals with and without metabolic dysfunction-associated steatotic liver disease (MASLD) remains unclear.We assessed biological age by calculating phenotypic age (PhenoAge), Klemera-Doubal method (KDMAge), and homeostatic dysregulation (HDAge). To examine the association of biological ageing with the risk of T2DM, cox regression models were conducted. Furthermore, we applied survival analysis, restricted cubic spline models and population attributable fraction (PAF) to further evaluate the association between biological ageing and T2DM incidence.
- Condition
- Type 2 Diabetes Mellitus (T2DM), Metabolic Dysfunction-Associated Steatotic Liver Disease, Biological Age
- Tested
- Observational
- Sponsor
- Ningbo No. 1 Hospital
Who can join
- Age
- 20 to 90 years
- Sex
- All sexes
- Healthy volunteers
- Not stated
Inclusion 6
- Minimum age: 20 years
- Maximum age: 90 years
- Study condition: Type 2 Diabetes Mellitus (T2DM), Metabolic Dysfunction-Associated Steatotic Liver Disease, Biological Age
- Abdominal ultrasound data available in annual health check-up records
- At least one of the following five metabolic indicators recorded annually:
- (1) Body mass index (BMI) or waist circumference (2) Blood pressure (3) Serum triglycerides (4) High-density lipoprotein cholesterol (HDL-C) (5) Fasting plasma glucose or glycated hemoglobin (HbA1c)
Exclusion 4
- Age \<20 or \>90 years
- Other causes of hepatic steatosis (e.g., alcoholic liver disease or hepatitis B infection)
- Type 2 diabetes mellitus at baseline
- Missing baseline data for any of the following variables: systolic blood pressure, albumin, alkaline phosphatase, blood urea nitrogen, creatinine, glycated hemoglobin (HbA1c), total cholesterol, lymphocyte percentage, white blood cell count, mean corpuscular volume, uric acid, fasting plasma glucose, and red cell distribution width (RDW)
Where
1 site, 1 recruiting
the First Affiliated Hospital of Ningbo University Ningbo, Zhejiang, China, 315000
Ningbo, Zhejiang, China
Contact
-
Lei Xu
+8613486659126 xulei22@163.com
Potential match only. Final eligibility is determined by the study team.