Depression and Its Associated Factors among Diabetes Mellitus Patients Attending Selected Hospitals in Southwest Ethiopia: A Cross-Sectional Study

Depressive symptom trajectory of older adults with diabetes: exploring the role of physical activities using latent growth modeling

OBJECTIVES

The literature highlights the role of physical activities in reducing depression, primarily in clinical samples and international longitudinal studies on older adults with diabetes. Based on Andersen's Behavioral Model, this study aims to describe the trajectory of depressive symptoms in this population and examine whether physical activities are associated with this trajectory.

METHODS

This study used a longitudinal survey design, utilizing three waves of data from the Health and Retirement Study. The respondents were adults aged 50 or older (N = 4,278) with diabetes. After conducting descriptive analyses, latent growth modeling was performed including unconditional and conditional models.

RESULTS

The overall trajectory of depressive symptoms in adults with diabetes decreased over a 4-year period. Physical activities were significantly associated with the variance in the intercept of the trajectory (p < .05), but not associated with the variance in the slope (p > .05). Additionally, this study identified factors significantly associated with the variance in the intercept (e.g. age, gender, race, marriage, education, income, self-reported health) or the slope (e.g. race, marriage, education, self-reported health) of the depressive symptom trajectory (p < .05).

CONCLUSION

The findings underscore the importance of implementing targeted interventions to encourage and promote physical activities among older adults with diabetes, recognizing the potential benefits for managing their mental health.

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.

Comorbidity of depression and type 2 diabetes in Egypt results from the International Prevalence and Treatment of Diabetes and Depression (INTERPRET-DD) study

BACKGROUND

Diabetes mellitus and depression are serious common diseases, and the number of people with both conditions is rising steadily. Depression in people with diabetes mellitus results in poorer prognosis through different mechanisms. On the other hand, the presence of diabetes in individuals with depression increases functional impairment that is associated with depression.

AIMS

The study aimed to assess the prevalence and factors associated with depression among adults with type 2 diabetes mellitus attending a diabetes clinic in Cairo, Egypt.

METHODS

A cross-sectional study was conducted among adult patients with diabetes type 2 attending a diabetes clinic in the endocrinology department in Ain Shams University Teaching Hospital, Cairo, Egypt. Data were collected through face-to-face interviews by trained psychiatrists and from patients' records.

RESULTS

The prevalence of depression among diabetic patients was 21.8% (95% CI [15.6%, 29.1%]). Depression was more common among younger age groups and those with a higher level of education. There was no significant difference between those with lifetime depression compared to those without depression regarding physical health complications.

CONCLUSIONS

The prevalence of depression among patients with type 2 diabetes is high. Given the impact of co-morbid diabetes and depression, diabetic patients should be routinely screened for the latter condition.

Depression and glycaemic control among adult patients with type 2 diabetes: a cross-sectional study in a comprehensive specialised hospital, Jigjiga, Ethiopia

OBJECTIVES

The primary objective of this study was to evaluate the prevalence of depression and its sociodemographic predictors, clinical predictors and glycaemic control among adult patients with type 2 diabetes at Sheik Hassan Yabare Comprehensive Specialized Hospital (SHYCSH), Jigjiga, Ethiopia.

DESIGN

A hospital-based cross-sectional study was conducted.

SETTING

Patients with type 2 diabetes mellitus (T2DM) at Sheik Hassan Yabare Comprehensive Specialized Hospital, for chronic follow-up from 3 October 2022 to 13 November 2022.

PARTICIPANTS

Randomly selected 278 patients with T2DM age 18 years and older, with a duration of 1 year or more since diagnosis, who had a diabetic follow-up at SHYCSH.

MAIN OUTCOME MEASURES

Depression was assessed using the Patient Health Questionnaire.

RESULTS

A total of 263 participants were included, with a response rate of 94.6%. Of the respondents, 134 (51%) were male, making up more than half of the total. The overall prevalence of depression was 47.1% (95% CI 41.1 to 53.2). Depression was further classified, as follows, based on its severity: the majority (66 or 25.1%) had mild depression, followed by 44 (16.7%) with moderate depression, 9 (3.4%) with moderately severe depression and 5 (1.9%) with severe depression. A multivariable logistic regression analysis indicated that poor glycaemic control (adjusted OR (AOR)=1.93; 95% CI 1.05 to 3.53), DM complications (AOR=2.02; 95% CI 1.09 to 3.74) and DM duration of 6-10 years since diagnosis (AOR=2.29; 95% CI 1.21 to 4.34) were independently associated with depression.

CONCLUSIONS

Our study revealed a significant burden of depression among patients with T2DM receiving follow-up care at the hospital. Glycaemic control, the presence of complications and a longer duration of diabetes were identified as predictors of depression. Therefore, concerned stakeholders should work to improve blood sugar control and promote healthy behaviour, particularly among those with complications or who have been sick for an extended period of time.

The mediating role of quality of life on depression and medication adherence among patients with type 2 diabetes mellitus: A cross-sectional study

Background and Aim

Patients living with diabetes mellitus have a high burden of psychological distress such as depression and anxiety as well as impaired quality of life, which may negatively impact their adherence to medications, glucose control, and health-related costs.This study assessed the impact of quality of life and depression on medication adherence among patients with type 2 diabetes (type 2 diabetes mellitus [T2DM]) in a tertiary care setting in Ghana.

Methods

The study was a cross-sectional study involving 238 patients with diabetes aged 18 years and above. Validated tools were used to assess medication adherence, depressive symptoms, and quality of life. Structural Equation Modeling was adopted to examine the mediation effect of quality of life on the relationship between depression and medication adherence among participants.

Results

The mean age of the participants was 58.82 ± 13.49, and 169 (71.0%) out of a total of 238 respondents were females. Depression had a significant direct relationship with the quality of life of respondents [aβ (95% confidence interval, CI) = -0.20 (-0.03, -0.00), p < 0.05; -0.21 (-0.41, -0.01) p < 0.05, respectively] and indirect relationship with quality of life [aβ (95% CI) = -0.01 (-0.02, -0.004) p < 0.001]. Educational status and religion both showed a significant indirect relationship with quality of life [aβ (95% CI) = 0.06 (0.07, 0.12), p < 0.05; 0.18 (0.01, 0.35) p < 0.05, respectively]. The mediating effect of quality of life on the relationship between depression and medication adherence was significant (Sobel = -3.19, p < 0.001).

Conclusion

Depression, medication adherence, and quality of life were higher among older adults with T2DM. Depression was also found to have a strong negative association with both medication adherence and quality of life. Interventions to screen for depression and to improve the quality of life in patients living with diabetes are also recommended and this should go beyond the provision of standard treatments to explore further the mechanisms of this relationships.

Sex differences in the association between diabetes and depressive symptoms: findings from Mexican National Health and Nutrition Survey 2018-2019

AIMS

We set out to investigate the potential sex differences in the association between diabetes and depressive symptoms by conducting an interaction analysis, and to investigate whether sex mediates the effect of diabetes on depressive symptoms.

METHODS

We conducted analyses on cross-sectional data of adults aged 20 years or older in the Mexican National Health and Nutrition Survey 2018-2019 (ENSANUT 2018-2019). Diabetes was defined by self-reported medical diagnosis, and depressive symptoms were measured using the seven-item Centre for Epidemiologic Studies Depression scale. First, an unadjusted interaction analysis was conducted. Second, the inverse probability of treatment weighting was applied to account for imbalances and biases. Third, the four-way decomposition method was used to estimate the potential mediating effect of sex.

RESULTS

In the study population (N=43 074), the prevalence of diabetes was 9.3% for men and 11.7% for women. Depressive symptoms were more prevalent in women (19.0%) than in men (9.5%). Women with diabetes had the greatest odds of having depressive symptoms, compared with men without diabetes (ORwomen-diabetes3.49 (95% CI: 3.16 to 3.86)). The interaction analysis indicated that diabetes and sex interact on both, multiplicative and additive scales (ratio of ORs (95% CI) 1.22 (1.02 to 1.45), and relative excess risk due to interaction (95% CI) 0.99 (0.63 to 1.36)). The four-way decomposition analysis showed that the interaction effect between diabetes and sex is larger than the mediation effect.

CONCLUSIONS

We found a positive interaction between diabetes and sex in the odds of having depressive symptoms. Mental health and diabetes care services planning would benefit from adopting a sex-informed approach.

Psychiatric morbidities among patients with type-2 diabetes mellitus attending outpatient department in a rural area of North India

Background

Both diabetes mellitus and psychiatric morbidities are widely prevalent diseases which show a discerning upward trend globally. Coexistence of diabetes and psychiatric morbidities usually manifests as impaired quality of life and poor treatment adherence.

Objectives

The study aimed to estimate the prevalence of psychiatric morbidities among rural diabetic patients and to determine their association with different variables.

Methodology

The present cross-sectional study was conducted in CHC of Rural Health Block attached with PG Department of Community Medicine GMC (Government Medical College) Jammu. The eligible diabetic patients attending medical outpatient department services were enrolled using a consecutive sampling method. DAS scale was used to assess psychiatric morbidity among the study subjects.

Results

The findings revealed that the prevalence of psychiatric morbidity in the study participants was 38.9%, 68.5% and 25.64% for depression, anxiety and stress, respectively. Psychiatric morbidities were slightly higher in female patients and were significantly associated with age, marital status, sedentary lifestyle, history of substance abuse, duration of diabetes, presence of complications and underlying morbidities (P < 0.05).

Conclusions

The prevalence of anxiety and depression among rural diabetic patients was found to be quite high. Diabetic patients need thorough screening for psychiatric evaluation, and there is an urgent need for psychiatric counselling at regular intervals.

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.

Magnitude of depression and its associated factors among patients with diabetes mellitus at public hospitals in Southwest Ethiopia, 2021

Depression is the third-leading cause of disability measured in terms of disability-adjusted life-years. When depression coexists with diabetes mellitus, it is associated with major health consequences and results in poor health outcomes, decreased quality of life, lost productivity and increased risk of death. The current study aimed to assess the magnitude of depression and its associated factors among adult patients with diabetes mellitus attending follow-up at the public hospitals of Buno Bedele zone, Southwest Ethiopia. A multi-centre cross-sectional study was done among people living with diabetes mellitus at an outpatient clinic of Buno Bedele zone hospitals. The study period was from April to May 2021. A systematic random sampling technique was used to select the study participants. Data were collected using a structured questionnaire. Depression was assessed by the Patient Health Questionnaire-9. Patient Health Questionnaire-9 is a validated tool to assess depression with sensitivity 86% and specificity 67%. The collected data were cleaned, edited, and entered into epi-data version 3.1, and analysed using SPSS version 24. Logistic regression analysis was employed to identify factors associated with depression occurrence. A p value of 0.05 was considered statistically significant. A total of 310 study participants were included in this study. Among study participants, 41.6% fulfilled the criteria for depression. Variables significantly associated with depression were female gender [AOR: 2.26, 95% CI (1.30, 3.95)], duration of diabetes greater than 5 years [AOR: 2.68, 95% CI (1.57, 4.56)], poor social support [AOR: 2.46, 95% CI (1.10, 5.49)], moderate social support [AOR: 2.63, 95% CI (1.34, 5.16)], current alcohol consumption [AOR: 3.55, 95% CI (1.20, 10.52)] and previous alcohol consumption [AOR = 2.81, 95% CI (1.40, 5.60)]. According to this study, depression is relatively common among diabetic individuals. Being a female, having diabetes for a long time, having poor social support, using alcohol now and in the past were factors that substantially linked to depression. Healthcare professionals should consider screening for depression using the Patient Health Questionnaire-9 or other validated tools in all diabetic patients, especially in those who are at higher risk.

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

BACKGROUND

Diabetes mellitus (DM) represents a global health threat and burden. It is associated with medical and psychological complications, especially depression. Depression among patients with DM may affect the general prognosis. Hence, we conducted a cross-sectional study in Gadarif, eastern Sudan to evaluate the prevalence of depression and its associated factors among patients with type 2 DM (T2DM).

METHODS

We performed a cross-sectional study. Data on anthropometric parameters, demographic characteristics and blood glucose levels were collected via questionnaire. Depression was assessed using the Patient Health Questionnaire (PHQ-9).

RESULTS

Three hundred and fifty patients with T2DM were enrolled in the study and 205 (58.6%) were women. The median (interquartile range) age and duration of diabetes were 56.0 (14.0) years and 8 (8) years, respectively. The prevalence of depression in patients with T2DM was 35.6%. Logistic regression analysis showed significant associations between depression and rural residence (adjusted odds ratio [AOR] = 2.11, 95% confidence interval [CI] = 1.20-3.72), non-employee (AOR = 2.32, 95% CI = 1.34-4.00), co-morbidity (AOR = 2.35, 95% CI = 1.43-3.86) and obesity AOR = 2.19, 95% CI = 1.48-4.18).

CONCLUSION

The prevalence of depression is high among Sudanese patients with T2DM. Rural residence, unemployment, co-morbidity and obesity are significant risk factors for developing depression among patients with T2DM.

Fluoxetine ameliorates high-fat diet-induced metabolic abnormalities partially via reduced adipose triglyceride lipase-mediated adipocyte lipolysis

Patients with type 2 diabetes mellitus have more risk to develop depression. Fluoxetine (FLX), a selective serotonin reuptake inhibitor (SSRI), is drug for mood and anxiety disorders. Previous studies showed that FLX could induce weight loss in non-depressed clinically overweight individuals. Although the anti-appetite effect of FLX is well-documented, its potential effects on metabolic abnormalities have not been investigated. In this study, we want to investigate whether FLX could be a therapeutic drug against high fat diet (HFD)-induced metabolic disorder. We generated metabolic disorders and depressed mouse model by feeding HFD for 12 weeks at the age of 8 weeks. Then, mice were intraperitoneally injected once daily with FLX (10 mg/kg or 20 mg/kg) for four weeks. Our results showed that FLX alleviated the HFD-induced metabolic dysfunctions and depressive phenotypes in mice. FLX improved systemic glucose homeostasis, at least in part, by improving visceral white adipose tissue (vWAT) insulin signaling. Moreover, FLX reduced circulating plasma leptin level, and decreased the expression of adipose triglyceride lipase (ATGL) and peroxisome proliferator-activated receptor gamma (PPARγ) in vWAT. Our data revealed that FLX also reduced the triglyceride (TG) accumulation in vWAT. Therefore, these findings suggest that FLX exhibits significant potential on comorbidity of metabolic disorder and depression in mice.

Intuitive eating and body appreciation in type 2 diabetes

Our objective was to explore the socio-demographic, clinical, and nutritional factors of body appreciation in type 2 diabetics. This is a cross-sectional observational study with 179 adults and older adults (60 ± 10 years old). Most of the sample was female (n = 133; 74.3%). Through logistic regression analysis, it was observed that being perceived as overweight was associated with a 91.6% lower chance of being satisfied with one's body. Trusting hunger and satiety cues doubled the chances of body satisfaction. Thus, eating more intuitively, attending to the signs of hunger and satiety, is associated with greater body satisfaction in type 2 diabetics.

Prevalence of Depression and Associated Factors among Diabetes Patients in East Shewa, Ethiopia: Bayesian Approach

BACKGROUND

Depression is one of the most pressing public health problems and also highly prevalent comorbid condition among diabetes mellitus (DM) patients. Depression may impact lifestyle decisions and ability to poorly perform tasks which are risk factors for DM. For reducing the impact of depression among DM patients in developing countries, it is crucial to identify and assess associated risk factors of depression among DM patients, thereby designing effective management techniques. In line with this, the current study applies the Bayesian framework, which pools prior information and current data, to find factors associated with depression among DM patients.

METHODS

A hospital-based cross-sectional study was conducted at Adama Hospital and Medical College (AHMC) from March to April 2019. Data was entered into the Epi-data 3.1 then exported to the R software 3.4.4. Bayesian logistic regression models were fitted to the data using the Markov chain Monte Carlo (MCMC) algorithm. Estimates of model parameters including adjusted odds ratio (AOR) with 95% credible intervals (CI) were calculated.

RESULTS

A total of 359 adults with DM were included in the analysis. The prevalence of depression among diabetic patients was 9.22% (95% CI: 6.4% to 12.7%). Higher fasting blood sugar level (AOR = -1.012; HPD CI: (1.0020, 1.025)), having diabetic complication (AOR = 0.1876; HPD CI: (0.0214, 0.671)), history of hospital admission (AOR = 0.2865; HPD CI: (0.0711, 0.7318)), low medication adherence (AOR = 29.29; HPD CI: (3.383, 92.26)), and taking both insulin and oral antidiabetic medication (AOR = 24.46; HPD CI: (15.20, 49.37) were significantly and strongly associated with depression among DM patients.

CONCLUSIONS

Prevalence of depression among diabetes patients in the catchment area of Adama Hospital, Ethiopia, was found to be very low. Higher fasting blood sugar level, diabetic complication, history of hospital admission, low medication adherence, and taking both insulin and oral antidiabetic medication were found to be strong predictors of prevalence of depression among DM patients. Based on the findings, we recommend that integrating screening and treating of depression, early detection and management of diabetic complication, and giving counseling to improve medication adherence is an effective approach for lowering the impact of depression on DM patients.