Replication Data for: diabetes-related distress and quality of life among people with type 2 diabetes

For statistical analysis of the data, the Mann–Whitney and Kruskal–Wallis tests were applied for comparisons, and the chi-square test for associations. The correlations were evaluated using the Spearman correlation coefficient. Results: Of the 302 participants recruited, 50.33% showed high diabetes-related distress.

Patients with higher scores in the diabetes-related distress have shorter schooling (p <0.05), HbA1c (p<0.05), worse Diabetes Quality of Life total score (p<0.0001), in the Quality of Life impact (p<0.0001), in the social/vocational worry (p<0.05) and in the diabetes worry (p<0.0001) subscales when compared to the group with the lowest diabetes-related distress. Conclusion: Patients with higher scores for diabetes-related stress have impacts on their QOL.

For that reason, the early screening of at-risk individuals with this condition through coordinated and well-planned protocols could result in fewer repercussions in the patient’s quality of life. Furthermore, it could improve their experiences throughout the follow-up of the disease.