Heliyon (Nov 2023)
Association between diabetes distress and sociodemographic and/or socioeconomic factors among adults: A cross-sectional study
Abstract
Diabetes-related distress (DRD) is a psychological syndrome with worsened prognosis in uncontrolled diabetic patients. The current study aimed to assess the factors contributing to DRD among the Lebanese population using the Diabetes Distress Scale (DDS-17) score and its sub-scores. A cross-sectional analysis was conducted between March and September 2021 enrolling. 125 diabetic from six Lebanese governorates through an online survey. The survey included two parts: the first section gathered sociodemographic data sociodemographic and socioeconomic data and the second one focused on assessing the Diabetes Distress Scale (DDS-17) score. Participants 30 years old and above had higher emotional distress compared to younger patients, (65.2 % versus 45.5 %). Those with a primary educational level showed significantly higher emotional distress than those with a secondary and tertiary level of education (72.5 %, versus 66.7 % and 46.4 %). Participants who were treated with both insulin and non-insulin medications or had a diastolic blood pressure of more than 90 mmHg showed significantly moderate to high distress (63.6 % or 53.8 %). Participants who lived in rural areas showed higher distress (35.6 %). Obese and overweight had significant moderate to high distress (64.1 %, and 48.0 %). The same results were found in non-married (divorced or widowed) and married participants (76.9 % and 51.3 %). The association between medical history with total distress showed that participants with glycemic store HbA1c of more than 6.5 followed by those who had HbA1c between 5.7 and 6.4 showed moderate to high total distress (45.9 % and 40.0 %). It is concluded that the prevalence of DRD is high in Lebanon, more common among rural residents, and among participants high HbA1c, low educational level, unmarried and on complex treatment regimens. Screening for DRD and providing better support can optimize clinical outcomes.