J-shaped Association Of The Triglyceride Glucose-body Mass Index With New-onset Diabetes

Objective and Study Design: The objective of the study was to explore the correlation between TyG-BMI and new-onset diabetes and to determine an optimal reflection point for TyG-BMI. The research was conducted as part of the Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal (REACTION) study. The study analyzed data from 1917 participants aged 40 years and older, derived from baseline and 3-year follow-up assessments.

Key Findings:

Baseline Characteristics: The average age of participants was 57.6 years, with 66.5% being females. The mean TyG-BMI was 223.3, and 7.1% of participants progressed to diabetes during the follow-up period.

Association with Diabetes: TyG-BMI showed a positive correlation with new-onset diabetes after adjusting for various covariates. For each standard deviation increase in TyG-BMI, the risk of diabetes increased by 1.330 times.

Non-linear Relationship: The relationship between TyG-BMI and new-onset diabetes was found to be non-linear. A J-shaped curve was observed, indicating that both low and high TyG-BMI levels were associated with an increased risk of diabetes. The inflection point, where the risk of diabetes significantly increased, was identified at TyG-BMI of 202.9.

Subgroup Analysis: Subgroup analyses based on gender, age, and BMI showed variations in the strength of association between TyG-BMI and diabetes, with males and younger age groups exhibiting stronger positive correlations.

Clinical Implications: The study suggests that maintaining TyG-BMI around 202.9 may help in reducing the risk of diabetes incidence. This finding could potentially guide preventive strategies and interventions aimed at managing TyG-BMI levels to mitigate diabetes risk.

Conclusion:

In conclusion, the study provides valuable insights into the association between TyG-BMI and the risk of new-onset diabetes, emphasizing the importance of monitoring and managing TyG-BMI levels, particularly in populations at risk. The J-shaped curve observed underscores the need for personalized approaches in diabetes prevention and management strategies.

Limitations and Future Directions:

The study acknowledges limitations such as its retrospective cohort design, which limits establishing causality, and the relatively short follow-up period. Future research could explore these findings in broader populations and include longer-term follow-up to validate the identified TyG-BMI threshold and its clinical implications further.

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