Geospatial Analysis and Determinant Factors of Comorbidity Presence in Patients with Diabetes

IntroductionThe prevalence of diabetes mellitus (DM) has shown a significant increase in recent decades, leading to a rise in associated complications. ObjectiveTo explore the determinant factors and geographical distribution of comorbidities and their number in patients with diabetes in Peru. MethodsCross-sectional study based on a database providing detailed demographic and clinical information on DM patients affiliated with the Comprehensive Health Insurance (SIS: acronym in spanish) in Peru. The dependent variables in this study are twofold: the type of comorbidities present in DM patients and the number of comorbidities they have. Comorbidities were categorized into three groups: DM with obesity/dyslipidemia, DM with hypertension, and DM with mental health disorders. The number of comorbidities was classified as none, one, two, or three comorbidities. ResultsA total of 1,355,354 patients were included. Male patients, older individuals, and those with a longer time since diagnosis have different probabilities of presenting the comorbidities and a higher number of them. Additionally, the geospatial analysis showed apparent regional variations in the prevalence and number of comorbidities, highlighting the influence of environmental and socioeconomic factors and access to healthcare services. ConclusionsThis study identified significant demographic and clinical factors associated with comorbidities in patients with DM in Peru. These findings showed the need for personalized, region-specific diabetes management. Therefore, public health policies should adapt to meet the needs of different regions and groups. Improving healthcare access is crucial, especially where comorbidity prevalence is high. Further education programs must address diet and exercise comorbidities, focusing on vulnerable people.