Related Experiment Video
Updated: Feb 15, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Diets with a low glycaemic load have favourable effects on prediabetes progression and regression: a prospective
F He1
1Department of Clinical Nutrition, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Background:
To date, no study assessing the associations among glycaemic index (GI), glycaemic load (GL) and progression to diabetes has focused specifically on prediabetes. Moreover, the available data on the association between these variables and regression to normal glucose regulation (NGR) are insufficient. Therefore, the present study aimed to evaluate the longitudinal associations among GI, GL and prediabetes outcomes.
Methods:
This prospective study included 640 adults aged 40-79 years with prediabetes at baseline. Dietary data were assessed using a previously validated 3-day food record. The participants were divided into three groups according to GI and GL tertiles. Outcomes were defined based on annual oral glucose tolerance test results.
Results:
During a median of 5 years of follow-up, 127 incident cases of diabetes and 249 incident cases of NGR were identified. Dietary GL was positively associated with the risk of developing diabetes and negatively associated with the likelihood of reaching NGR at least once. Comparing the highest and lowest tertiles of GL, the multivariable-adjusted hazard ratios (95% confidence intervals) were 1.85 (1.07-3.21) for progression and 0.65 (0.44-0.96) for regression. No association was observed between GI and prediabetes outcomes in the fully adjusted models.
Conclusions:
Among patients with prediabetes, high dietary GL was positively associated with diabetes risk. Furthermore, a low-GL diet contributed to an increased incidence of reaching NGR.
More Related Videos
Related Concept Videos
Regression Toward the Mean
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Correlation and Regression
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Microsoft Excel: Regression Analysis
To perform regression...
Tumor Progression
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...

