Prevalence of depression and associated factors among patients with type 2 diabetes mellitus in eastern Sudan

Factors Associated with Postpartum Depression among Women in Eastern Sudan: A Cross-Sectional Study

Background and Objectives: Postpartum depression is one of the most common complications of childbirth. While the epidemiology of postpartum depression has been extensively studied in African countries, there is little published data on the topic in Sudan. In addition, no studies have been conducted in Eastern Sudan. This study aims to evaluate the factors associated with postpartum depression among Sudanese women in Gadarif in Eastern Sudan. Materials and Methods: A cross-sectional study (using the systematic random sampling technique) of women presenting to Gadarif Maternity Hospital for postnatal follow-up within six weeks of childbirth was conducted. A questionnaire was used to collect sociodemographic information, and the Edinburgh Postnatal Depression Scale was used to assess postpartum depression. Results: Three hundred women were enrolled in the study. The median (interquartile) age and parity were 30.0 (25.0-34.0) years and 2 (1-4). Thirty-one (10.3%) of the women had postpartum depression. A univariate analysis showed that a past history of depression was the only factor associated with postpartum depression (OR = 3.04, 95% CI = 1.03-8.97). Other investigated factors (age, parity, educational level, occupation, history of previous miscarriage or intrauterine fetal death, a family history of depression, financial support, medical insurance, whether the pregnancy was planned or not, and if the gender of the newborn was known before delivery) were not associated with postpartum depression. Conclusions: The current study showed that 1 out of 10 women had postpartum depression that was associated with a past history of depression. Factors that have been reported to be associated with postpartum depression in African countries (age, parity, education, and occupation) were not found to be associated in this study. Mental health assessment needs to be employed for women in their antenatal and postpartum periods.

Psychosocial and clinical factors associated with depression among diabetic patients in Amhara region comprehensive specialized hospitals, Ethiopia, 2022; a multicenter prevalence study

Background

Depression commonly coexists with diabetes leads to complications and worsens the outcome. Even though the problem affects low- and middle-income countries including Ethiopia, only a few studies have been done to show the magnitude of the problem and factors associated with it. So, the study was conducted to fill those gaps.

Objective

The main objective of this study was to assess psychosocial and clinical factors associated with depression among diabetic patients in Amhara region comprehensive specialized hospitals, Ethiopia, 2022.

Methods

A hospital-based cross-sectional study was conducted in randomly selected hospitals of Amhara region from January 7 to February 10, 2022. A total of 426 diabetic patients who were on outpatient follow-up were selected using a multistage sampling technique. A p-value of ≤0.25 in the bivariable analysis was used to select variables for the multivariable analysis. A p-value < 0.05 within a 95% confidence interval was considered to be significantly associated factors.

Result

Out of 426 interviewed diabetes patients 203 (47.7%) had depression. Moderate physical activity (AOR = 0.50, 95% CI (0.29, 0.86)). low medication adherence (AOR = 2.10, 95% CI (1.22, 3.62)), medium medication adherence (AOR = 1.78, 95% CI (1.04, 3.06)), and high social support (AOR = 0.54, 95% CI (0.33, 0.91)) were significantly associated with depression among diabetic patients.

Conclusion

The overall prevalence of depression among diabetic patients was higher than in other developing countries. Hence, special attention to preventing depression and maintaining mental illness among patients with chronic illnesses, especially diabetes should be given.

Multimorbidity and its associated risk factors among adults in northern Sudan: a community-based cross-sectional study

BACKGROUND

Multimorbidity (having two or more coexisting long-term conditions) is a growing global challenge. However, data on multimorbidity among adults in Africa, including Sudan, are scarce. Thus, this study aimed to investigate the prevalence of multimorbidity and its associated risk factors among adults in Sudan.

METHODS

A community-based cross-sectional study was conducted in northern Sudan from March 2022 to May 2022. Participants' sociodemographic characteristics were assessed using a questionnaire. Multimorbidity was defined as having two or more coexisting long-term conditions, including diabetes mellitus (DM), hypertension, obesity, anaemia and depression-anxiety. Multivariate logistic regression analyses were performed to determine the associated factors.

RESULTS

The participants included 250 adults: 119 (47.6%) males and 131(52.4%) females. The median interquartile range (IQR) of the enrolled adults of the age was 43.0 (30.0‒55.0) years. Of the 250 adults, 82(32.8%), 17(6.8%), 84(33.6%), and 67(26.8%) were normal weight, underweight, overweight, and obese, respectively; 148(59.2%), 72(28.8%), 63(25.2%), 67(26.8%), and 98(39.2%) had hypertension, DM, anaemia, obesity, and depression-anxiety, respectively. A total of 154 adults (61.6%) had multimorbidity: 97(38.8%), 49(19.6%), and 8(3.2%) had two, three, and four morbidities, respectively. The remaining 21 (8.4%), and 75 (30.0%) adults had no morbidity, and one morbidity, respectively. In amultivariate logistic regression analysis, increasing age (adjusted odd ratio [AOR] = 1.03, 95% CI = 1.01‒1.05), and female sex (AOR = 2.17, 95% CI = 1.16‒4.06) were associated with multimorbidity.

CONCLUSIONS

The high prevalence of multimorbidity revealed in this study uncovers a major public health problem among Sudanese adults. Our results show that increasing age and female sex are associated with multimorbidity. Additional extensive studies are necessary to evaluate the magnitude of multimorbidity for improved future planning and establishing effective health systems.

Prevalence and associated factors of overweight and obesity among persons with type 2 diabetes in Africa: a systematic review and meta-analysis

BACKGROUND

Type 2 diabetes and obesity are serious public health concerns globally and a growing burden in Africa. Both conditions have serious repercussions on health when they co-occur, yet the extent of their co-occurrence in Africa remains unknown. Therefore, this review aimed to identify the prevalence and associated factors of overweight and obesity among persons with type 2 diabetes in Africa.

METHOD

A systematic search was conducted on PubMed, MEDLINE, Embase, African Index Medicus (AIM), and African Journals Online (AJOL) for observational studies that reported the prevalence of overweight and/or obesity among type 2 diabetes patients in Africa. The prevalence data from individual studies were aggregated through a random-effects meta-analysis. The I² statistic was used to evaluate between-studies heterogeneity, while subgroup analysis and mixed-effects meta-regression were performed to identify sources of heterogeneity. We assessed publication bias using funnel plots and Egger's test. This review adhered to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines.

RESULTS

Of 1753 records retrieved, 80 articles were eligible for this review, with 74 cross-sectional studies included in the meta-analysis. The pooled prevalence of overweight and obesity was 35.6% and 25.6% respectively, while the overall prevalence of both overweight and obesity was 61.4%. Also, the pooled prevalence of both overweight and obesity across the five geographical areas in Africa ranged from 56.9% in East Africa to 88.5% in Southern Africa. Nineteen factors were significantly associated with overweight and obesity among patients with type 2 diabetes.

CONCLUSION

The high prevalence of overweight and obesity among patients with type 2 diabetes is a significant public health concern that transcends geographical boundaries within Africa. The findings from this review highlight the need for innovative weight management interventions that are tailored to the cultural context of the African setting.KEY MESSAGESThere was a high prevalence of overweight and obesity among the type 2 diabetes patients.Nineteen factors were identified to be significantly associated with overweight and obesity among type 2 diabetes patients.Only 12 out of the 80 included studies primarily focused on the prevalence of overweight and/or obesity which reflects a dearth of interest in this topic.

Red Cell Distribution Width and Prediabetes in Adults in Northern Sudan: A Case-Control Study

Diabetes mellitus (DM) is a major public health issue worldwide. Red cell distribution width (RDW) has been reported to have predictive value in several diseases, including DM. Few data exist on the association between RDW and the prediabetic stage. Thus, the present study aimed to investigate the association between RDW and prediabetes in adults in Sudan. This case-control study was conducted in Northern Sudan in 2022. The cases (n = 107) were prediabetic patients categorized according to the level of glycated hemoglobin (HbA1c), which ranged from 5.7% to 6.4%, while the controls (n = 107) were healthy participants. A questionnaire was used to collect the data. Standard methods were used to measure the HbAIc level and RDW. Logistic regression analysis was performed. The median (interquartile range (IQR)) of the RDW was significantly higher in prediabetic patients than in the controls (14.5% [13.8-15.3%] vs. 14.1% [13.6-14.7%], p = 0.003). Sex, educational level, occupational status, marital status, cigarette smoking, alcohol consumption, family history of DM, and body mass index were not associated with prediabetes. In the multivariate-adjusted model, higher age and higher RDW were associated with prediabetes. A positive correlation was found between RDW and HbA1c levels (r = 0.19, p = 0.006). In conclusion, this study supports the use of RDW as a predictor of DM.

The use of nomogram for detecting mild cognitive impairment in patients with type 2 diabetes mellitus

BACKGROUND

Type 2 diabetes mellitus (T2DM) is highly prevalent worldwide and may lead to a higher rate of cognitive dysfunction. This study aimed to develop and validate a nomogram-based model to detect mild cognitive impairment (MCI) in T2DM patients.

METHODS

Inpatients with T2DM in the endocrinology department of Xiangya Hospital were consecutively enrolled between March and December 2021. Well-qualified investigators conducted face-to-face interviews with participants to retrospectively collect sociodemographic characteristics, lifestyle factors, T2DM-related information, and history of depression and anxiety. Cognitive function was assessed using the Mini-Mental State Examination scale. A nomogram was developed to detect MCI based on the results of the multivariable logistic regression analysis. Calibration, discrimination, and clinical utility of the nomogram were subsequently evaluated by calibration plot, receiver operating characteristic curve, and decision curve analysis, respectively.

RESULTS

A total of 496 patients were included in this study. The prevalence of MCI in T2DM patients was 34.1% (95% confidence interval [CI]: 29.9%-38.3%). Age, marital status, household income, diabetes duration, diabetic retinopathy, anxiety, and depression were independently associated with MCI. Nomogram based on these factors had an area under the curve of 0.849 (95% CI: 0.815-0.883), and the threshold probability ranged from 35.0% to 85.0%.

CONCLUSIONS

Almost one in three T2DM patients suffered from MCI. The nomogram, based on age, marital status, household income, duration of diabetes, diabetic retinopathy, anxiety, and depression, achieved an optimal diagnosis of MCI. Therefore, it could provide a clinical basis for detecting MCI in T2DM patients.

Determinants of depression and anxiety among type 2 diabetes patients in governments' hospitals at Harari regional state, Eastern Ethiopia: A multi-center cross-sectional study

BACKGROUND

Type 2 diabetes mellitus is the most common health problem globally. Depression and anxiety can exacerbate disease complications, make patients suffer more, and increase healthcare costs. Even though, depression and anxiety are common among type 2 diabetes mellitus patients, there have been limited studies conducted about the determinants of depression and anxiety in Ethiopia. Therefore, the purpose of this study was to assess the magnitude and determinants of depression and anxiety symptoms among Type 2 diabetes mellitus patients, attending out-patient treatment at Harari regional state government hospitals, Eastern Ethiopia.

METHOD

An institutional based cross-sectional study was conducted from March to April at Harari regional state government hospitals in eastern Ethiopia. A total of 421 participants were recruited using the systematic sampling technique. Data was collected by using Afan Oromo version of interviewer-administered structured and semi-structured questionnaires. Depression and Anxiety symptoms were assessed by the Hospital Anxiety and Depression Scale. Bivariate and multivariate logistic regression analysis was done to identify variables related to both depression and anxiety symptoms. The association was described using an adjusted odds ratio and a 95% confidence interval (CI), with P-values of 0.05 used as a cutoff for a significant association in the adjusted analysis.

RESULT

Out of the 416 participants included in this study, 42.3%, 40.4% had depression and anxiety symptoms, respectively. Being female (Adjusted Odds Ratio = 1.85(1.09-3.15)), no formal education (Adjusted Odds Ratio = 2.65, (1.04-6.73)), age ≥ 70 (Adjusted Odds Ratio = 2.88 (1.28-6.48)), family history of mental illness (Adjusted Odds Ratio = 1.71 (1.35-3.82)) and poor social support (Adjusted Odds Ratio = 2.35(1.12-6.03)) were statistically associated with depression. While having a family history of mental illness (AOR 1.74(1.03-2.95)), being widowed (AOR = 3.45(1.49-8.01)), and having poor social support (AOR = 2.15(1.12, 4.89)) were statistically significant associated with anxiety at a p-value < 0.05.

CONCLUSION

Current study results showed that the magnitude of depression and anxiety were relatively high among type 2 diabetes mellitus patients.Having a family history of mental illness and poor social support were statistically associated with both depression and anxiety symptoms. Screening, early detection, and appropriate treatment of depression and anxiety symptoms in type 2 diabetes mellitus patients should be prioritized by health care providers.

The Concern of COVID-19 Vaccine Safety Is behind Its Low Uptake among Patients with Diabetes Mellitus in Sudan

Diabetic patients are vulnerable to developing severe complications and have a higher risk of death due to COVID-19 infection. Vaccination remains the mainstay during the current situation to mitigate the risks related to COVID-19 infection. Therefore, the aim of the current study was to assess the vaccination status and the factors associated with COVID-19 vaccine uptake among patients with diabetes mellitus (DM) in Sudan. A hospital-based cross-sectional study was conducted from January to February 2022 at Gadarif Hospital in eastern Sudan. Information on sociodemographics, the contracting of COVID-19 during the pandemic, beliefs toward COVID-19 vaccinations, and barriers related to COVID-19 vaccinations was obtained through an interview questionnaire among adult (≥18 years) patients with DM. Bivariate and multinomial logistic regression analyses performed. A total of 568 diabetic patients were enrolled, with a mean (SD) age of 53.07 (12.69) years. The majority of the participants were female (67.6%), urban residents (63.4%), uneducated (60.6%) and employed (73.2%). There was a history of COVID-19 in 97.4% of participants, and 29.2% of them had hypertension along with DM. About 31% received the vaccine, out of which 17.9% received the first dose, 13.2% received the second dose, and 0.2% received the third dose. Multinomial logistic regression analysis showed a significant association between belief in the safety of the COVID-19 vaccine and having had two doses of it (adjusted Odds ratio = 20.42, p < 0.001). The prevalence of COVID-19 infection was high, while the rate of COVID-19 vaccination uptake was low and inadequate among the participants. Appropriate health education and targeted interventions toward awareness of safety concerns are highly recommended.