The Relationship between Particulate Matter and Parameters of the Electrocardiogram and Blood Pressure in People with Type 2 Diabetes

Abbas  Salehi; Naser  Kamyari; Maryam  Ban; Gholamreza  Goudarzi; Esmat  Radmanesh

doi:10.18502/ijdo.v18i1.21054

Abbas Salehi Student Research Committee, Abadan University of Medical Sciences, Abadan, Iran
Naser Kamyari Department of Public Health, School of Health, Abadan University of Medical Sciences, Abadan, Iran
Maryam Ban Department of Nursing, School of Nursing, Abadan University of Medical Sciences, Abadan, Iran Iran
Gholamreza Goudarzi Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Esmat Radmanesh Department of Medical Physiology, School of Medicine, Abadan University of Medical Sciences, Abadan, Iran

DOI: https://doi.org/10.18502/ijdo.v18i1.21054

Keywords: Diabetes, Blood sugar, Particulate matter

Abstract

Objective: This study aimed to investigate the relationship between particulate matter (PM) and electrocardiogram, blood pressure, and fasting blood sugar in people with type 2 diabetes mellitus.

Materials and Methods: In this study, we collected laboratory and clinical information from 270 patients with type 2 diabetes (T2DM) who were hospitalized at educational hospitals affiliated with Abadan University of Medical Sciences from March 21, 2023, to March 19, 2024. Information related to the concentrations of PM10 and PM2.5 was received from the Khuzestan Environmental Organization. To explore the relationship between PM2.5 and PM10 with clinical and laboratory factors, the Pearson Correlation Coefficient was utilized.

Results: The study showed that 53.3% of the patients were male, and the mean age was 60.32 (± 12.16) years. No significant relationship was observed between PM10 and PM2.5 with fasting blood sugar (P= 0.291), (P= 0.516), random blood sugar (P= 0.804), (P= 0.829), P-R interval (P= 0.289), (P= 0.163), S-T segment (P= 0.700), (P= 0.517), QRS voltage (P= 0.956), (P= 0.505), systolic blood pressure (P = 0.587), (P= 0.478) and diastolic blood pressure (P= 0.229), (P= 0.347). However, a significant relationship was observed between PM 10 and PM 2.5 with the Q-T interval (P= 0.042) and (P= 0.010).

Conclusion: Based on the results of the present study, no significant relationship was observed between PM with Clinical and laboratory parameters in people with type 2 diabetes, and only the relationship between PM and Q-T interval, which is one of the electrocardiographic parameters, was significant.