STATISTICAL ANALYSIS OF FACTORS AFFECTING DIABETIC PATIENTS
Abstract
This study conducts a comprehensive statistical analysis on the factors affecting diabetic
patients using a dataset provided by the National Institute of Diabetes, Digestive and
Kidney Diseases. The research focuses on identifying significant relationships between
various diagnostic measurements such as glucose levels, body mass index (BMI), age, the
number of pregnancies and the likelihood of developing diabetes. By employing chi-square
tests, logistic regression, and other statistical methods, the study reveals that higher glucose
levels, increased BMI, old age, and a greater number of pregnancies are all significantly
associated with an elevated risk of diabetes. These findings underscore the importance of
regular monitoring and targeted interventions for at-risk populations. The study concludes
with actionable recommendations for healthcare professionals and public health initiatives
aimed at mitigating the impact of these risk factors on diabetes prevalence.
Full-Text Access Notice
In accordance with the NERD Policy on promoting peer-reviewed publication, public access to the full text of a project, thesis or dissertation is restricted for three years, allowing the author and supervisors sufficient time to pursue peer-reviewed publication.
During this period, researchers with legitimate academic or research purposes may request authorisation directly from the author to enable NERD to release the indexed full texts of the work using the form below.