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1.
PLoS One ; 19(5): e0302167, 2024.
Article in English | MEDLINE | ID: mdl-38713690

ABSTRACT

BACKGROUND: Diabetes mellitus continues to be a significant global public health concern, and it is currently a public health issue in developing nations. In Ethiopia, about three fourth of adult population with diabetes are unaware of their diabetic condition. However, there is a limited research on this specific topic particularly in the study area. OBJECTIVE: To assess prevalence of undiagnosed diabetes mellitus and its associated factor among adult residents of Mizan Aman town, south West Ethiopia. METHODS AND MATERIAL: A community-based cross-sectional study was conducted from May 23 to July 7, 2022, on 627 adult residents of Mizan Aman town. A multi stage sampling technique was used to obtain 646 study units. Interviewer-administered structured questionnaires were employed to gather socio-demographic and behavioral data. Anthropometric measurements were obtained and blood samples were taken from each participants. The fasting blood glucose level was measured after an 8-hour gap following a meal, using a digital glucometer to analyze a blood sample. Data were cleaned and entered into Epi-data v 3.1 and exported to SPSS v. 26 for analysis. Bi-variable analysis was done to select candidate variables and multivariable logistic regression model was fitted to identify independent predictors of undiagnosed diabetes mellitus. Adjusted odds ratio (AOR) with 95% CI was computed and variables with p-value < 0.05 were declared to be predictors of undiagnosed diabetes mellitus. RESULTS: The study revealed that, the overall magnitude of undiagnosed diabetes mellitus was 8.13% (95% CI: 6.1, 10.6). Predictors of undiagnosed diabetes mellitus were; physical activity level less than 600 Metabolic equivalent/min per week (AOR = 3.39, 95%CI 1.08 to 10.66), family history of diabetes mellitus (AOR = 2.87, 95% CI 1.41, 5.85), current hypertension(AOR = 2.9, 95% CI 1.26, 6.69), fruit consumption of fewer than three servings per week(AOR = 2.64, 95% CI 1.18 to 5.92), and sedentary life(AOR = 3.33, 95% CI 1.63 to 6.79). CONCLUSION: The prevalence of undiagnosed diabetes mellitus was 8.13%. Physical inactivity, family history of diabetes mellitus, current hypertension, sedentary life, and fruit servings fewer than three per week were independent predictors of undiagnosed diabetes mellitus.


Subject(s)
Diabetes Mellitus , Humans , Ethiopia/epidemiology , Male , Female , Adult , Cross-Sectional Studies , Diabetes Mellitus/epidemiology , Diabetes Mellitus/diagnosis , Prevalence , Middle Aged , Risk Factors , Young Adult , Undiagnosed Diseases/epidemiology , Aged
2.
BMJ Open ; 14(1): e079165, 2024 01 22.
Article in English | MEDLINE | ID: mdl-38262645

ABSTRACT

OBJECTIVE: To determine the mean score of health-related quality of life in epilepsy and its associated factors among adult patients with epilepsy. DESIGN: Institution-based cross-sectional study based on random case selection was conducted. SETTING: The study was carried out at Mizan-Tepi University Teaching Hospital located in Southwest Ethiopia. PARTICIPANTS: A total of 346 patients with epilepsy who visited the psychiatric clinic for follow-up for at least 3 months and who were 18 years or older were included in the study. MAIN OUTCOME MEASURE: Health-related quality of life in epilepsy measured using quality-of-life in epilepsy (QOLIE)-31 health survey evaluated as a dependent variable with simple and multivariable linear regressions. RESULTS: The overall weighted mean score of health-related quality of life was 55.6 (SD=20.9). Only 50.3% of patients scored above a total score of 50. Age (ß=-0.35, 95% CI-0.46 to -0.23), anxiety (ß=-6.79, 95% CI -9.26 to -4.32), depression (ß=-7.36, 95% CI -10.16 to -4.55), low self-esteem (ß=-5.29, 95% CI -8.07 to -2.51), perceived stigma (ß=-3.62, 95% CI -6.30 to -0.94), taking medication two times or more times per day (ß=-2.4, 95% CI -4.58 to -0.27), being illiterate (ß=-4.1, 95% CI -6.87 to -1.31) and having more than two seizures for a year (ß=-4.18, 95% CI -6.97 to -1.39) were negatively affecting health-related quality of life while income of >1000 birr per month (ß=4.5, 95% CI 2.00 to 6.99), social support (ß=0.34, 95% CI 0.27 to 0.40) and being free of seizure for a year (ß=6.5, 95% CI 3.66 to 9.33) were positively affecting health-related quality of life. CONCLUSIONS: Only half of the patients with epilepsy in the study area are leading a better quality of life and the overall mean health-related quality of life score is lower than the global mean score. Health-related quality of life was inversely associated with age, anxiety, depression, low self-esteem, perceived stigma, taking medication two times a day or more, being illiterate and experiencing more than two seizures in a year. Besides controlling seizures, public educational campaigns should be conducted to raise public awareness regarding the need for social support.


Subject(s)
Epilepsy , Quality of Life , Adult , Humans , Cross-Sectional Studies , Ethiopia , Universities , Hospitals, Teaching , Seizures , Ambulatory Care Facilities
3.
Front Clin Diabetes Healthc ; 4: 1234674, 2023.
Article in English | MEDLINE | ID: mdl-37790676

ABSTRACT

Background: Patients with diabetes mellitus (DM) are prone to modifiable and non-modifiable complications, which can be grouped under metabolic syndrome (MetS). Evaluating MetS in patients with diabetes is critical for the prevention of cardiovascular disease among patients with DM. In Ethiopia, more specifically in the southwest of Ethiopia, these kinds of information are lacking. Thus, this study estimated the prevalence of metabolic syndrome among type 2 diabetic patients and its associated factors. Methods: A health facility-based cross-sectional study was done from May 1 to 30, 2021. The data were collected using structured questionnaires, laboratory investigations, and anthropometric measurements. MetS was diagnosed using the modified International Diabetic Federation guidelines (IDF) and the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) criteria. The data was entered into Epidata and analyzed using SPSS software. Bivariable and multiple variable logistic regression was done to identify the factors associated with MetS. In multiple-variable logistic regression analysis, variables that have a p-value ≤ 0.05 were declared to have statistical significance. Result: The majority (31.4%) of study participants were within the age group of 41-50 years and the mean ± SD of age is 51.75 ± 11.66, and 54.9% of them were men. In this study, the prevalence of MetS was 31.4% and 41.2% using the IDF and NCEP-ATP III criteria, respectively. Being a woman (AOR = 11.33, 95% CI; 3.73, 34.34; p < 0.001), having a lower level of education (AOR=7.10, 95% CI; 1.88, 26.70; p <0.004), and performing high physical activities (AOR=0.08, 95%CI; 0.01, 0.40; p <0.002) were significantly associated with MetS. Conclusion: According to this study, the magnitude of Metabolic Syndrome in Mizan-Teppi University Teaching Hospital was 31.4% and 41.2% using IDF and NCEP-ATP III criteria, respectively. Being a woman and having a lower level of education increased the odds of MetS among patients with DM while performing high physical activities decreased the odds of MetS among patients with DM. Therefore, to prevent metabolic syndrome among type 2 DM patients in the study area, it is crucial to focus on women and individuals who have not had access to adequate education. One way to do this is by prioritizing interventions that involve physical activity.

4.
PLoS One ; 18(3): e0282746, 2023.
Article in English | MEDLINE | ID: mdl-36877683

ABSTRACT

BACKGROUND: Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer death in over 100 countries. In March 2021, the World Health Organization called on the global community to decrease mortality by 2.5% per year. Despite the high burden of the disease, the survival status and the predictors for mortality are not yet fully determined in many countries in Sub-Saharan Africa, including Ethiopia. Here, we report the survival status and predictors of mortality among breast cancer patients in South Ethiopia as crucial baseline data to be used for the design and monitoring of interventions to improve early detection, diagnosis, and treatment capacity. METHODS: A hospital-based retrospective cohort study was conducted among 302 female breast cancer patients diagnosed from 2013 to 2018 by reviewing their medical records and telephone interviews. The median survival time was estimated using the Kaplan-Meier survival analysis method. A log-rank test was used to compare the observed differences in survival time among different groups. The Cox proportional hazards regression model was used to identify predictors of mortality. Results are presented using the crude and adjusted as hazard ratios along with their corresponding 95% confidence intervals. Sensitivity analysis was performed with the assumption that loss to follow-up patients might die 3 months after the last hospital visit. RESULTS: The study participants were followed for a total of 4,685.62 person-months. The median survival time was 50.81 months, which declined to 30.57 months in the worst-case analysis. About 83.4% of patients had advanced-stage disease at presentation. The overall survival probability of patients at two and three years was 73.2% and 63.0% respectively. Independent predictors of mortality were: patients residing in rural areas (adjusted hazard ratio = 2.71, 95% CI: 1.44, 5.09), travel time to a health facility ≥7 hours (adjusted hazard ratio = 3.42, 95% CI: 1.05, 11.10), those who presented within 7-23 months after the onset of symptoms (adjusted hazard ratio = 2.63, 95% CI: 1.22, 5.64), those who presented more than 23 months after the onset of symptoms (adjusted hazard ratio = 2.37, 95% CI: 1.00, 5.59), advanced stage at presentation (adjusted hazard ratio = 3.01, 95% CI: 1.05, 8.59), and patients who never received chemotherapy (adjusted hazard ratio = 6.69, 95% CI: 2.20, 20.30). CONCLUSION: Beyond three years after diagnosis, patients from southern Ethiopia had a survival rate of less than 60% despite treatment at a tertiary health facility. It is imperative to improve the early detection, diagnosis, and treatment capacities for breast cancer patients to prevent premature death in these women.


Subject(s)
Breast Neoplasms , Female , Humans , Breast Neoplasms/diagnosis , Ethiopia/epidemiology , Retrospective Studies , Breast , Mortality, Premature
5.
Ecancermedicalscience ; 15: 1268, 2021.
Article in English | MEDLINE | ID: mdl-34567253

ABSTRACT

BACKGROUND: Despite the higher mortality rate of breast cancer in low and middle-income countries, the practice of early detection methods is low and the majority of the patients presenting at an advanced stage of the disease need palliative care with low survival rates. Although healthcare providers are the key for practicing early detection methods of breast cancer for themselves and their clients, little is known about their knowledge and practice of early detection methods of breast cancer in Northcentral Ethiopia. METHODS: An institution-based cross-sectional study was conducted among female healthcare providers at Debre Tabor Comprehensive Specialised Hospital. Data were collected using a structured self-administered questionnaire. The data were analysed using SPSS version 23. Descriptive statistics were used to describe the socio-demographic information of participants. Binary and multivariable logistic regression with adjusted odds ratio (AOR) and 95% confidence interval (CI) was used to identify factors associated with the outcome variable. Statistical significance was declared at p < 0.05. RESULT: The mean (±SD) age of the participants was 31.4 (±7.8) years. About 106 (79.7%) participants had good knowledge about breast cancer early detection methods and only 56 (42.1%) of them practiced breast self-examination regularly. Work experience of >2 years (AOR = 3.2; 95% CI: 1.72, 5.29), history of any breast problem (AOR = 1.4; 95% CI: 1.02, 2.37), family history of breast cancer (AOR = 4.0; 95% CI: 2.58, 15.84), having good knowledge (AOR = 2.9; 95% CI: 1.3, 6.52) and history of comorbidities (AOR = 1.09; 95% CI: 1.09, 3.59) were the factors associated with the practice of breast self-examination. CONCLUSION: Our study found that the knowledge and practice of breast cancer early detection methods was low in the study setting. Only less than half of female healthcare providers practiced regular breast self-examination, which suggests the need to provide training for healthcare providers to fill the gap and to promote early detection of breast cancer cases.

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