Year: 2024
Type: article
Abstract: Although prior research has indicated that the occurrence of diabetes is associated with genetic inheritance, overweight conditions and dietary habits, there are still many other unknown factors worth studying. This research employed the Probit model approach to handle the data from the BRFSS 2015 dataset on Kaggle. The dataset was published and updated in 2021 and encompassed information on 253,680 individuals. The conclusion is that the onset of diabetes is strongly associated with Sex, Age, BMI, Physical activity, Eating habits, Smoking, Mental health and stroke, and is particularly closely related to Difficulty walking, Heart disease, High cholesterol, and High blood pressure. Many factors that may be closely associated with diabetes have not been found in prior studies, such as Mental health, Difficulty walking, Heart disease, High cholesterol, and High blood pressure. This provides some new ideas for studying the pathogenesis of diabetes and the treatment of diabetes, and points the way for future research.
DOI: 10.61173/0wvz0d65
Author: Rubin Li
Institution: Hunan University
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4405929412