AI Article Synopsis
- The study profiles adults aged 20 and over who participate in diabetes and hypertension screening, highlighting key demographics and health behaviors.
- Using data from Ensanut 2018-19, researchers created logistic regression models to identify factors linked to diabetes and hypertension detection.
- Findings indicate that individuals with a family history of these diseases, existing health issues, or unhealthy lifestyles are more likely to seek screening; thus, targeted risk assessments are recommended for better detection and diagnosis.
Article Abstract
Objective: We describe the profile of the population aged 20 years and over, who go for a diabetes and hypertension screening test.
Materials And Methods: Based on the information from Ensanut 2018-19, two multiple logistic regression models were obtained with variables associated with the detection of diabetes and hypertension. Profiles were generated based on combinations of the variables included in the model. Increases in probabilities were plotted according to profiles.
Results: Individuals with a family history of the disease, comorbidities or unhealthy lifestyles composed the group that seek for diabetes and hypertension screening.
Conclusions: The health system should look for those with the highest risk of developing or having undiagnosed diabetes and hypertension, using risk questionnaires, type score. This population should undergo screening studies and, where appropriate, diagnoses.
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| http://dx.doi.org/10.21149/11556 | DOI Listing |
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