Diabetic peripheral neuropathy and their associations with overweight/obesity and impaired blood glucose among diabetic patients in Eastern Ethiopia: Institutional-based study.

Objective: This study aimed to determine the burden of diabetic peripheral neuropathy and its associations with overweight/obesity and impaired blood glucose among diabetic patients in Eastern Ethiopia. Method: A total of 644 diabetic individuals were included in the study through systematic random sampling techniques. The Michigan neuropathy screening instrument was used to evaluate the presence of diabetic neuropathy. Data were presented using narrative, figures, and tables from the results of statistical analysis. The descriptive result was reported using frequency (percentage) for categorical variables and mean ± SD for continuous measures, respectively. Multivariable logistic regression was performed to identify factors associated with diabetic peripheral neuropathy. Results: The overall prevalence of diabetic peripheral neuropathy was 47.8% (95% CI: 43.9%-51.7%). Low monthly income (AOR: 2.02, 95% CI: 1.09, 3.73), history of khat chewing (AOR: 2.32, 95% CI: 1.04, 4.907), impaired blood glucose (AOR: 1.52, 95% CI: 1.63, 1.94), physical inactivity (AOR: 2.76, 95% CI: 1.74, 4.36), and raised body mass index (AOR: 2.45, 95% CI: 1.01, 4.99) were factors significantly associated with diabetic peripheral neuropathy. Conclusion: The study emphasizes the value of early diabetic peripheral neuropathy detection and the widespread presence of diabetic peripheral neuropathy risk factors in diabetes patients. Any initiative intended to lessen the burden of diabetic peripheral neuropathy-related morbidity and high health care costs must be implemented as a strategy.

The burden of visual impairment among Ethiopian adult population: Systematic review and meta-analysis.

BACKGROUND: Visual impairment is a public health problem in both developing and developed countries, especially, in developing countries where most visually impaired communities are found. Knowledge of the pooled prevalence of visual impairment among adults is useful in planning, preventive programs and the provision of eye-care services for communities. METHODS: Original observational studies published in English were included in this systematic review and meta-analysis. Eleven studies with a total sample size of 8,161 study participants were included. PubMed/Medline, HINARI, Google Scholar, Cochrane library, Web of Science, and African Journals Online databases were used to search for published articles. Data were extracted on a Microsoft Excel spreadsheet and analyzed using Revman 5.4.1 Software. Meta-analysis of further pooled prevalence estimates using the inverse variance heterogeneity model. The pooled estimate of visual impairment in the current review was estimated using a random-effects model. Forest plots were used to illustrate heterogeneity and to quantify the pooled prevalence of visual impairment. Publication bias was assessed using funnel plots. Visual impairment was defined as a presenting visual acuity of less than 6/18 in the betting-seen eye. RESULTS: A total of 538 studies were identified from several Databases and digital libraries, of which eleven articles were selected for the final meta-analysis. Significant heterogeneity was observed across studies, suggesting a random-effects model to estimate the pooled prevalence of visual impairment. The prevalence of visual impairment in Ethiopia ranges from 10.3% in Addis Ababa central Ethiopia to 37.58% in the Northern Ethiopia. The pooled prevalence of visual impairment in the current review was 22% (95% CI: 17%-27%; I2 = 97%) using a random-effects model. There was also evidence of symmetry in the funnel plots. CONCLUSION: This systematic review and meta-analysis demonstrated a greater burden of visual impairment among Ethiopians in various study populations. Further, intervention strategies are required to reduce the burden of visual impairment and improve quality of life.

Magnitude and associated factors of dyslipidemia among patients with severe mental illness in dire Dawa, Ethiopia: neglected public health concern.

BACKGROUND: Lipid metabolism abnormalities are an emerging risk factor for cardiovascular diseases. Due to the nature of the condition and their unhealthy lifestyles, patients with mental illnesses have a doubled risk of morbidity and mortality from dyslipidemia compared to the general population. To our knowledge the magnitude of dyslipidemia in patients with mental illnesses in the eastern Ethiopia has not been reported in the literature to date. Therefore, the aim of the study was to assess and compare the magnitude of dyslipidemia and its predictors among patients with severe mental illnesses and non-mentally ill control patients. METHODS: Nighty six subjects with serious psychiatric disorders and nighty six matched non-psychiatric control subjects who had no history of psychiatric illness were underwent a lipid profile test in Dire Dawa referral hospital, Ethiopia. The mentally ill clients were 18 years of age and older with schizophrenia, major depression, and bipolar disorders. Exposed study subjects were matched to control by age and sex. The data were cleaned and analyzed using SPSS software. A binary logistic regression model was used to determine the factors related to the magnitude of dyslipidemia. Both the crude odds ratio and the adjusted odds ratio with a 95% confidence interval were estimated. RESULTS: The magnitude of dyslipidemia among mentally ill patients was significantly higher (63.54%) compared to non-exposed controls (31.9%) in the subjects studied. In multiple logistic regression, urban dwellers were six times (AOR = 6.14, 95% CI: 1.2, 16) more likely at risk of developing dyslipidemia compared to rural participants. Similarly, physically inactive participants were nearly two-times (AOR = 1.8, 95% CI: 1.1, 12.9) more likely to develop dyslipidemia compared to physically active study participants. Moreover, study participants who had raised body mass index were 2.1 times (AOR = 2.1, 95% CI: 1.17, 15.3) more likely having dyslipidemia than their counterparts. CONCLUSIONS: This study revealed that the prevalence of dyslipidemia is higher among mentally ill patients compared to non-mentally ill control study participants. Place of residence, physical inactivity, and raised BMI were significantly associated with dyslipidemia. Therefore, intensive screening of patients for dyslipidemia and its components is necessary during follow-up.

Major dietary patterns of community dwelling adults and their associations with impaired blood glucose and central obesity in Eastern Ethiopia: Diet-disease epidemiological study.

BACKGROUNDS: Unhealthy dietary intake is an important preventable risk factor for obesity and impaired blood glucose (IBG), ultimately increasing the risk of non-communicable diseases. When compared to individual food intakes, dietary patterns are a stronger predictor of health outcomes and should be systematically evaluated where such evidence is lacking. This study evaluated dietary patterns and their association with the risk of central obesity and IBG among adults. METHODS: A community-based survey was conducted among 501 randomly-selected adults from Eastern Ethiopia. Data was collected using a semi-structured questionnaire during a face-to-face interview that included sociodemographic and lifestyle factors, as well as a validated 89-item food frequency questionnaire (collected over one month). Principal component analysis was used to derive the dietary pattern. While central obesity was assessed using waist and/or hip circumference measurements, fasting blood sugar was used for IBG. A multivariable logistic regression model was fitted with an odds ratio, 95% confidence intervals, and p-values reported. RESULTS: A total of 501 adults (95.3%) were interviewed, with a mean age of 41 years (±12). Five major dietary patterns explaining 71% of the total variance were identified: "nutrient-dense foods", "high fat and protein", "processed foods", "alcohol drinks", and "cereal diets". While 20.4% (17.0-24.2%) had IBG, 14.6% (11.8-17.9) were centrally obese, and 94.6% (92.3-96.3) had an increased waist-to-hip circumference ratio. Central obesity is associated with upper wealth status (AOR = 6.92; 2.91-16.5), physical inactivity (AOR = 21.1; 2.77-161.4), a diet high in nutrient-dense foods (AOR = 1.75; 0.75-4.06), processed foods (AOR = 1.41; 0.57-3.48), and cereal diets (AOR = 4.06; 1.87-8.82). The burden of IBG was associated with upper wealth status (AOR = 2.36; 1.36-4.10), physical inactivity (AOR = 2.17; 0.91-5.18), upper tercile of nutrient-dense foods (AOR = 1.35; 0.62-2.93), fat and protein diet (AOR = 1.31; 0.66-2.62), and cereal diet consumption (AOR = 3.87; 1.66-9.02). CONCLUSION: IBG and central obesity were prevalent and predicted by upper tercile consumption of nutrient-dense foods, high fat and protein diets, processed foods, and cereal diets, which could guide dietary interventions.

Prevalence and associated factors of overweight/obesity among severely ill psychiatric patients in Eastern Ethiopia: A comparative cross-sectional study.

BACKGROUND: Globally, the burden of overweight and obesity is a major cardiovascular disease risk factor and is even higher among patients with psychiatric disorders compared to the general population. This is mainly due to the deleterious lifestyles characterized by physical inactivity, excessive substance use, and unhealthy diets common among patients with psychiatric disorders, as well as the negative metabolic effects of psychotropic medications. Despite these conditions being a high burden among patients with psychiatric illness, little attention is given to them during routine reviews in psychiatric clinics in most African nations, including Ethiopia. Therefore, this study aimed to estimate and compare the prevalence of and associated risk factors for overweight and obesity among patients with psychiatric illnesses. METHODS: A comparative cross-sectional study was conducted between severely ill psychiatric patients and non-psychiatric patients in Dire Dawa, Eastern Ethiopia. The study included 192 study participants (96 psychiatric patients and 96 non-psychiatric controls). Weight and height were measured for 192 study participants. Baseline demographic and clinical characteristics of psychiatric and non-psychiatric patients were described. The data were cleaned and analyzed using the Statistical Package for Social Sciences, Version 21. The intergroup comparisons were performed using an independent sample t-test and Chi-square tests. Logistic regression analysis was used to identify the association between overweight/obesity and the associated variables. RESULTS: The magnitude of overweight/obesity was significantly higher in the severely ill psychiatric groups (43.8%) than in the non-exposed controls (20.80%). The prevalence of overweight/obesity was highest in major depressive disorders (40%), followed by schizophrenia (32%), and bipolar disorder (28%). CONCLUSIONS: There was a high prevalence of obesity/overweight among psychiatric patients. Educational status, unemployment, and late stages of the disease were significant predictors of overweight/ obesity. Clinicians should be aware of the health consequences of overweight/obesity, and considering screening strategies as a part of routine psychiatric care is strongly recommended.

Metabolic syndrome and associated factors among severely ill psychiatric and non-psychiatric patients: a comparative cross-sectional study in Eastern Ethiopia.

BACKGROUND: Metabolic syndrome is a major public health challenge in both developed and developing countries. The burden of this disease is high, even in patients with psychiatric disorders. However, very little is known about the association between metabolic syndrome and psychiatric illness in Ethiopia. Therefore, the aim of this study was to investigate the magnitude of metabolic syndrome and its components among psychiatric clients. METHODS: A comparative cross-sectional study was undertaken between psychiatric patients and age-and sex-matched non-psychiatric controls at the Dilchora referral hospital. The study included 192 study participants (96 psychiatric patients and 96 non- psychiatric controls from general medical and surgical patients). The National Cholesterol Education Program: Adult Treatment Panel III criteria were used to diagnose metabolic syndromes. The data were cleaned and analyzed using the Statistical Package for Social Sciences, Version 21. All intergroup comparisons for continuous data were performed using an independent sample t-test, whereas categorical data were analyzed using the Chi-square test. Logistic regression analysis was used to identify the association between metabolic syndrome and the associated variables. RESULTS: The magnitude of metabolic syndrome among psychiatric patients was 36.5% (95%CI: 27.6, 47.4) compared to non-psychiatric control patients, 21.9% (95%CI: 13.5, 30.3), p = 0.02. The prevalence of MetS components, such as waist circumference (25.0% vs. 14.3%), lower-high density lipoprotein level (35.4% vs. 20.8%), higher systolic blood pressure (41.7% vs. 29.2%) and higher fasting blood glucose (40.6% vs. 18.8%) showed statistically significant differences between the exposed and non-exposed groups. Age greater than 50 years (AOR: 2.8, CI: 1.14, 20.0, p < 0.05); being female (AOR: 7.4, CI: 2.0, 27.6, p < 0.05), being urban residence (AOR: 6.4, CI: 2.2, 20.6, p < 0.05), ever alcohol intake (AOR: 5.3, CI: 1.3, 21.2), being physically inactive (AOR: 3.52, CI: 1.1, 12.9, p < 0.05) and family history of hypertension (AOR: 2.52, CI: 1.1, 12.2, p < 0.05) were independent predictors of metabolic syndrome (p < 0.05). CONCLUSIONS: There is a high burden of metabolic syndrome and its components in patients with severe psychiatric disorders. Therefore, screening and mitigation strategies for metabolic syndrome and their components should be implemented in the management of psychiatric disorders.

Metabolic syndrome is a risk factor for cardiovascular disease that has public health issues, which places social, economic, and disease conditions in the community within the geographical region of sub-Saharan Africa, including Ethiopia. Patients with psychiatric illness have a 2­threefold risk of morbidity and mortality from metabolic syndrome compared to the general population. Here, we look at range of the possible reasons psychiatric patients have less physical activity due to functional disorders or psychotropic medication, psychological stress, excessive alcohol intake, and inadequate medical care. We assessed the burden of metabolic syndrome and its components among psychiatric patients as compared to non-psychiatric individuals in Eastern Ethiopia for a period of 6 months. There has been an alarming increase in the burden of metabolic syndrome and its components among patients with psychiatric illness. Hence, our results allow readers to aware of the burden of metabolic syndrome and factors involved in the development of the syndrome among psychiatric clients.