Yenifer Diaz Montes, Luis A Anillo Arrieta, Juan Jose Espitia De La Hoz, Tania Acosta-Vergara, Jorge Acosta-Reyes, Karen C Flórez Lozano, Rafael Tuesca Molina, Pablo Aschner, Sandra Rodríguez Acosta, Noël C Barengo
{"title":"Effectiveness of a community intervention program on healthy lifestyles (PREDICOL) among adults with prediabetes in two Latin American cities: A quasi-experimental study.","authors":"Yenifer Diaz Montes, Luis A Anillo Arrieta, Juan Jose Espitia De La Hoz, Tania Acosta-Vergara, Jorge Acosta-Reyes, Karen C Flórez Lozano, Rafael Tuesca Molina, Pablo Aschner, Sandra Rodríguez Acosta, Noël C Barengo","doi":"10.1016/j.pcd.2025.03.010","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to measure the impact of a community-based lifestyle modification intervention program on the Health-Related Quality of Life (HRQoL) of adults with prediabetes in two Latin American cities.</p><p><strong>Methods: </strong>A quasi-experimental study was conducted with participants aged 30 and above in two Colombian cities between 2018 and 2022. The glycemic status of study participants was determined through the administration of an oral glucose tolerance test. Individuals exhibiting impaired glucose tolerance (IGT) were selected for inclusion in the intervention program. Of the 146 individuals identified with IGT, 91 completed the one-year intervention protocol. HRQoL was assessed utilizing the EQ-5D-3L questionnaire, both before and after the intervention. Logistic regression models were used to calculate the odds ratios (OR) and 95 % confidence intervals (CI), while classification models based on machine learning algorithms were utilized to identify factors associated with favorable changes in health-related quality of life (HRQoL).</p><p><strong>Results: </strong>In Bogotá D.C., a significant improvement in HRQoL was documented (pre-intervention: 0.69 ± 0.17; post-intervention: 0.76 ± 0.16), attaining the threshold for clinically meaningful change (0.06). No changes in HRQoL were observed in the study participants. Logistic regression analysis revealed that the improvement in HRQoL was statistically significantly associated with sex (OR 8.75; 95 % CI 1.91-40.03), age (OR 11.61; 95 % CI 1.44-93.44), place of residence (OR 29.31; 95 % CI 5.26-163.54), and weight loss (OR 5.56; 95 % CI 1.15-26.76). According to the XGBoost model, return to normal glycemic status emerged as the most important variable for improvements in HRQoL.</p><p><strong>Conclusion: </strong>Gender, age, place of residence, weight loss, and return to normoglycemic status were identified as significant predictors in lifestyle modification to improve HRQoL among participants at high risk of developing type 2 diabetes.</p>","PeriodicalId":94177,"journal":{"name":"Primary care diabetes","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Primary care diabetes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.pcd.2025.03.010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effectiveness of a community intervention program on healthy lifestyles (PREDICOL) among adults with prediabetes in two Latin American cities: A quasi-experimental study.
Purpose: This study aimed to measure the impact of a community-based lifestyle modification intervention program on the Health-Related Quality of Life (HRQoL) of adults with prediabetes in two Latin American cities.
Methods: A quasi-experimental study was conducted with participants aged 30 and above in two Colombian cities between 2018 and 2022. The glycemic status of study participants was determined through the administration of an oral glucose tolerance test. Individuals exhibiting impaired glucose tolerance (IGT) were selected for inclusion in the intervention program. Of the 146 individuals identified with IGT, 91 completed the one-year intervention protocol. HRQoL was assessed utilizing the EQ-5D-3L questionnaire, both before and after the intervention. Logistic regression models were used to calculate the odds ratios (OR) and 95 % confidence intervals (CI), while classification models based on machine learning algorithms were utilized to identify factors associated with favorable changes in health-related quality of life (HRQoL).
Results: In Bogotá D.C., a significant improvement in HRQoL was documented (pre-intervention: 0.69 ± 0.17; post-intervention: 0.76 ± 0.16), attaining the threshold for clinically meaningful change (0.06). No changes in HRQoL were observed in the study participants. Logistic regression analysis revealed that the improvement in HRQoL was statistically significantly associated with sex (OR 8.75; 95 % CI 1.91-40.03), age (OR 11.61; 95 % CI 1.44-93.44), place of residence (OR 29.31; 95 % CI 5.26-163.54), and weight loss (OR 5.56; 95 % CI 1.15-26.76). According to the XGBoost model, return to normal glycemic status emerged as the most important variable for improvements in HRQoL.
Conclusion: Gender, age, place of residence, weight loss, and return to normoglycemic status were identified as significant predictors in lifestyle modification to improve HRQoL among participants at high risk of developing type 2 diabetes.
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