Medical and socio-demographic determinants of depressive disorders in diabetic patients

What Differentiates Rural and Urban Patients with Type 1 Diabetes-A Pilot Study

The effective management of diabetes is a complex issue and may be determined according to numerous patient-dependent and patient-independent factors. This study aimed to analyze the relationship between the place of residence and selected sociodemographic, psychological and diabetes-related parameters in people with type 1 diabetes (T1D). This study was conducted on 419 adults with T1D using nonprobability sampling. The following questionnaires were used: the Diabetes Dietary Guidelines Adherence Index, the Acceptance of Illness Scale, the Sense of Responsibility for Health Scale, the Diabetes Eating Problem Survey-Revised scale, the Eating Attitudes Test and questions on sociodemographic and diabetes-related parameters. People living in rural areas were characterized by a significantly lower age and level of education, a higher incidence of being overweight, a higher glycated hemoglobin concentration, a lower number of glucose measurements during the day and a higher level of acceptance of the disease compared to urban residents. The degree of adherence to dietary recommendations and the sense of responsibility for one's own health were significantly higher among urban residents. It is necessary to assess barriers to a proper diet and to increase the effectiveness in managing the disease in rural communities. Targeted actions promoting the health of type 1 diabetics need to be developed with particular emphasis on patients from rural areas.

Depression and determinants among diabetes mellitus patients in Ethiopia, a systematic review and meta-analysis

INTRODUCTION

Primary studies have estimated the prevalence of depression and its determinants among diabetes patients. However, studies synthesizing this primary evidence are limited. Hence, this systematic review aimed to determine the prevalence of depression and identify determinants of depression among diabetes in Ethiopia.

METHODS

This systematic review and meta-analysis included a search of PubMed, Google Scholar, Scopus, Science Direct, PsycINFO, and Cochrane library. Data were extracted using Microsoft Excel and analyzed using STATA statistical software (v. 14). Data were pooled using a random-effects model. Forest plots, and Egger's regression test were all used to check for publication bias. Heterogeneity (I)² was computed. Subgroup analysis was done by region, publication year, and depression screening instrument. In addition, the pooled odds ratio for determinants was calculated.

RESULTS

Sixteen studies, including 5808 participants were analyzed. The prevalence of depression in diabetes was estimated to be 34.61% (95% CI: 27.31-41.91). According to subgroup analysis by study region, publication year, and screening instrument, the highest prevalence was observed in Addis Ababa (41.98%), studies published before 2020 (37.91%), and studies that used Hospital Anxiety and Depression Scale (HADS-D) (42.42%,) respectively. Older age > 50 years (AOR = 2.96; 95% CI: 1.71-5.11), being women (AOR = 2.31; 95% CI: 1.57, 3.4), longer duration with diabetes (above 5 years) (AOR = 1.98; 95% CI: 1.03-3.8), and limited social support (AOR = 2.37; 95% CI: 1.68-3.34), were the determinants of depression in diabetic patients.

CONCLUSION

The results of this study suggest that the prevalence of depression in diabetes is substantial. This result underscores the importance of paying particular attention to prevent depression among diabetes. Being older, not attending formal education, longer duration with diabetes, having comorbidity, and low adherence to diabetes management were all associated. These variables may help clinicians identify patients at high risk of depression. Future studies focusing on the causal association between depression and diabetes are highly recommended.