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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.
Clin Ophthalmol ; 17: 3341-3351, 2023.
Article in English | MEDLINE | ID: mdl-37941776

ABSTRACT

Background: Cataract is the leading cause of blindness and the second leading cause of visual impairment worldwide, accounting for 51% and 33% of all cases, respectively, in low- and medium-income countries bearing a disproportionately high burden. Hence, this study aimed to assess the visual outcome of age-related cataract surgery and identify factors associated with patients' postoperative visual outcomes in Jimma University Medical Center, Southwest Ethiopia. Methods: An institution-based cross-sectional study design was conducted among 386 cataract surgery patients from January 1, 2016, to December 30, 2017. The study participants were selected using a systematic random sampling technique. Data were collected by reviewing the selected patients' medical records using a pre-tested checklist, entered into EpiData version 3.1, and exported to SPSS 20 for analysis. Proportions, summary statistics, and tables were used for presentations of the findings. Binary logistic regression was carried out to identify independent predictors of visual outcome. Findings were presented with adjusted odds ratios and their 95% confidence interval. A p-value <0.05 was used to declare a statistically significant association. Results: About 231 individuals (59.8%) had poor visual results following cataract surgery. Furthermore, age >70 (AOR = 3.64; 95% CI [1.35-9.82]), preoperative ocular co-morbidities (AOR = 2.34; [1.32-4.15]), incision-based cataract surgery (AOR = 7.11; [3.16-16.02]), compared phacoemulsification operated by resident surgeons (AOR = 2.19; [1.23-3.89]), presence of intraoperative complication (AOR = 3.41; [1.47-7.92]), lens remnant (AOR = 2.91; [1.11-4.92]), ocular inflammation (OR = 2.56; [1.34-4.92]), and striate keratopathy/corneal edema (AOR = 1.91; [1.07-3.44]) were significantly associated with poor visual outcome. Conclusion: The visual outcome following cataract surgery fall below WHO recommendation. In this study, age, ocular co-morbidities, surgical method, surgeon status, intraoperative complication, SK, and ocular inflammation associated with post-operative Uveitis and anterior chamber reaction were associated with a poor visual outcome.

3.
SAGE Open Med ; 11: 20503121231197865, 2023.
Article in English | MEDLINE | ID: mdl-37701796

ABSTRACT

Background: Visual impairment, which is related to many eye diseases, is a major public health problem. If detected and treated early, it can be prevented; therefore, regular use of vision services is very important. Objective: This study aimed to assess the proportion of utilization of eye care services and associated factors among the rural community population in southern Ethiopia. Methods: A community-based cross-sectional study design with a two-stage cluster random sampling technique was conducted to collect data from adults aged 40 years and above using interviewer-administered questionnaires. Kebeles were randomly selected by the lottery method, and systematic random sampling with proportional distribution was used to select the households. An adult individual was randomly selected from a household when there was more than one adult available. A binary logistic regression model was used to establish the association between eye care service utilization and the variables that might affect it. Results: Of the 551 study population, 510 responded to this study, and the response rate was 92.6%. The mean age of the respondents was 52.2 years. The rate of eye care service utilization was 29% (95% confidence interval (0.25, 0.33)). The study shows that older participants, aged 65 and above (adjusted odds ratio: 4.04; 95% confidence interval (2.20, 7.43)), having previous eye problems (adjusted odds ratio: 10.04; 95% confidence interval (5.81, 17.33)), the presence of systemic illness (adjusted odds ratio: 2.52; 95% confidence interval (1.21, 5.21)), and having awareness about regular checkups (adjusted odds ratio: 11.75; 95% confidence interval (6.62, 20.84)) were found to be the predictors of eye care service utilization. Conclusion: In this study, utilization of eye care services was low. Older age, previous eye problems, systemic illness, and awareness about checkups were found to be predictors of eye care service utilization. Hence, there is a need to increase the absorption of existing ophthalmic services and create awareness of the use of ophthalmology services to reduce preventive blindness.

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