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Published on: August 14, 2013
Lipid accumulation product and type 2 diabetes risk: a population-based study
Sepehr Sadafi1,2, Ali Azizi3,4, Farid Najafi5
1Clinical Research Development Center, Imam Reza Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Elevated Lipid Accumulation Product (LAP) levels are strongly associated with type 2 diabetes mellitus (T2DM) in adults from western Iran. This finding suggests LAP may serve as a valuable screening tool for diabetes risk.
Area of Science:
- Metabolic Health
- Epidemiology
- Diabetes Research
Background:
- Lipid Accumulation Product (LAP) quantifies excessive body fat and is studied for its role in predicting chronic and metabolic diseases.
- Previous research highlights LAP's significance in epidemiological studies for forecasting disease risk.
Purpose of the Study:
- To investigate the association between Lipid Accumulation Product (LAP) and type 2 diabetes mellitus (T2DM).
- To evaluate the predictive capability of LAP for T2DM in an adult population in western Iran.
Main Methods:
- Analysis of data from 9,065 adults in the Ravansar non-communicable diseases (RaNCD) cohort study.
- Utilized multiple logistic regression to assess the LAP-T2DM association.
- Employed Receiver Operating Characteristic (ROC) curve analysis to determine LAP's predictive accuracy for T2DM.
Main Results:
- Participants averaged 47.24 ± 8.27 years, with near-equal gender distribution (49.30% male, 50.70% female).
- Mean LAP was significantly higher in the diabetic group (75.51 ± 51.34) compared to the healthy group (53.10 ± 36.60) (P < 0.001).
- Logistic regression showed increased odds of T2DM with higher LAP quartiles, with the highest quartile exhibiting 3.73 times greater odds (95% CI: 2.83, 4.92). ROC analysis yielded an AUC of 0.66 (95% CI: 0.64, 0.68) for T2DM prediction.
Conclusions:
- A significant association exists between elevated LAP levels and T2DM in western Iranian adults.
- LAP is a promising indicator for screening individuals susceptible to developing diabetes.
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