Factors Associated with Quality of Life in Patients with Type 2 Diabetes of South Benin: A Cross-Sectional Study

Background: Type 2 diabetes (T2D) adversely affects health-related quality of life (QoL). However, little is known about the QoL of diabetic patients in Benin, where the disease is a growing concern. Thus, this study aims to assess the QoL and its associated factors among T2D patients in Cotonou, southern Benin. Methods: A total of 300 T2D patients (age > 18 years) were enrolled, and the diabetes-specific quality of life (DQoL) and Natividad self-care behaviors' (SCB) instruments were used for data collection. DQoL scores were calculated, and factors associated with DQoL explored using logistic regression. Results: The mean of patients' DQoL was 38.1 +/- 4.1, with 43% having low QoL. In terms of DQoL, 56.3% reported a high diabetes impact, followed by low life satisfaction (53%) and high worry about diabetes (32.7%). In the logistic regression analysis, education, marital status, occupation, family history of diabetes, complications, and social support were associated with DQoL. SCB factors, including healthy eating, problem-solving, coping strategies, and risk reduction, were significant predictors of DQoL. Conclusions: Patients' empowerment, starting with self-management education, is essential to improve the QoL of T2D patients in Cotonou. However, the programs need to target low education, low socioeconomic status, low social support, and overweight patients.

Automated summary

This study aimed to evaluate the quality of life (QoL) and its associated factors among Type 2 diabetes (T2D) patients in Cotonou, southern Benin. The findings showed that almost half of the patients had low QoL. Logistic regression analysis revealed that factors such as education, marital status, occupation, family history of diabetes, complications, and social support were associated with QoL. Self-care behaviors (SCB) including healthy eating, problem-solving, coping strategies, and risk reduction were also significant predictors of QoL.