Analysis code for: Relationships Between Body Mass Index, Diabetes Mellitus and Peripheral Haemodynamic Parameters
Year: 2026
Type: software
Abstract: Reproducible analysis code for the article "Relationships Between Body Mass Index, Diabetes Mellitus and Peripheral Haemodynamic Parameters: A Cross-Sectional Study", published in Diabetology (MDPI). The deposit contains a single Python script that reproduces every result reported in the article and in its Supplementary Materials, from the restructured database through to the published figures. It covers data preparation and eligibility, an audit of missing values and denominators, measurement-quality checks specific to the auscultatory determination of ankle pressure, the classification of the ankle-brachial index according to the American Heart Association thresholds, the descriptive tables, three multiple linear regression models with classical and heteroskedasticity-consistent standard errors, an exploratory logistic regression, the minimum detectable difference, a sensitivity analysis across alternative definitions of the exposure, and the three figures at 600 dpi. The dataset itself is not included. It comprises records of users of a single primary health care unit and cannot be made public under the terms of the ethics approval (Research Ethics Committee of the Universidade de Pernambuco, protocol 7,327,072, approved 8 January 2025). The data are available from the corresponding author on reasonable request. The script expects an Excel file named Banco_ITB_reestruturado.xlsx containing the sheet "Dados"; the variables read and the coding used for each are documented in the script header. Requirements: Python 3.9 or later with pandas, numpy, scipy, statsmodels, matplotlib and openpyxl. Full instructions are in the README file included in this deposit.
Institution: Universidade de Pernambuco
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7203667249