The proportion of Impaired Glucose Tolerance (IGT) in Indonesia has increased in the last 5 years, from 29.9% in 2013 to 30.8% in 2018. IGT tends to be overlooked because it does not have specific symptoms, but if IGT is ignored it will develop rapidly into Type II DM. The purpose of this study was to see the Correlation between smoking behavior, physical activity, and dietary consumption patterns with the incidence of IGT in DKI Jakarta due to the fact that DKI Jakarta is an area with the highest prevalence of DM in Indonesia. Method: This type of research is descriptive quantitative using a cross-sectional approach with data sources from the 2018 Basic Health Research. The dependent variable studied was the incidence of IGT, with independent variables such as smoking behavior, physical activity, and dietary consumption patterns. The research area taken is DKI Jakarta. The Data were collected using a 2018 Basic Health Data individual questionnaire. The data analysis carried out was univariate to describe the frequency and distribution of the variables, bivariate analysis using the chi-square test, and multivariate analysis with regression logistic test. Result: The results of this study show that there was a Correlation between smoking behavior and the incidence of IGT (p = 0.018), there was a Correlation between fruit consumption and the incidence of IGT (0.047), there was no Correlation between physical activity and the incidence of IGT (p = 0.391), and there was no Correlation between consumption patterns of sweet foods, sweet drinks, and vegetables with the incidence of IGT (p = 0.489), (p = 0.326), (p = 0.509), (p = 0.451). Conclusion: In this study, the only variables related to the incidence of IGT were smoking behavior and fruit consumption patterns. Variables of physical activity, consumption patterns of sweet foods, sweet drinks, soft drinks, and vegetable consumption are not associated with the incidence of IGT. For further researchers, it is necessary to review and study the variables and research areas that will be taken when using secondary data.