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1.
PLoS One ; 19(2): e0298244, 2024.
Article in English | MEDLINE | ID: mdl-38359007

ABSTRACT

BACKGROUND: Public health problems related to tuberculosis (TB) remain substantial globally, particularly in resource-limited countries. Determining TB treatment outcomes and identifying contributing factors are the basic components of the TB control strategy. In Ethiopia, different studies have been done on treatment outcomes and multiple associated factors, and there is also a little information on the effect of nutritional status on TB treatment outcomes. So there is a need for comprehensive research that examines the combined effects of multiple factors along with nutritional status. METHODS: A five-year institution-based retrospective cross-sectional study was conducted at Mizan Tepi University Teaching Hospital, South West Ethiopia. This study included all tuberculosis patients who were documented in the TB registration and had known treatment outcomes at the treatment facility between January 1, 2016, and December 31, 2020. Data was collected through a pretested structured data extraction checklist. Data were entered into Epidata version 3.1 and analyzed through SPSS version 22. Multiple logistic regression was employed to assess the association between dependent and independent variables. A p-value of less than 0.05 was considered statistically significant. RESULT: Of the total 625 TB patients, 283 (45.3%), 175 (28%), and 167 (26.7%) had smear-positive, extra-pulmonary, and smear-negative tuberculosis, respectively. The majority of study participants had normal weight (62.2%), were in the age group of 15-44 (67.4%), were new cases (73.8%), and were from urban areas (69.4%). About 32.2% of cases were HIV-positive. The overall unsuccessful treatment rate was 25%. From the total unsuccessful treatment rates, the highest proportion was a death rate of 90 (14.4%), followed by a treatment failure of 56 (9%). Being female (AOR = 1.7, 95% CI: 1.2-2.5), HIV positive (AOR = 2.7, 95% CI: 1.9-4.1), undernutrition (BMI<18.5kg/m2) (AOR = 1.9, 95% CI: 1.3-2.9), and smear-negative pulmonary TB (AOR = 1.6, 95% CI: 1-2.5) were independent predictors of unsuccessful treatment outcomes. CONCLUSION: The treatment success rate in the study area is very poor. Poor treatment outcomes were associated with undernutrition, female gender, HIV positivity and smear-negative pulmonary TB. So, continuous and serious supervision and monitoring of directly observed treatment short course (DOTS) program accomplishment, early detection of HIV and TB, prompt anti TB and antiretroviral treatment initiation and adherence, enhanced nutritional assessment, and counseling services need to be strengthened to improve treatment outcomes.


Subject(s)
HIV Infections , Malnutrition , Tuberculosis, Pulmonary , Tuberculosis , Humans , Female , Adolescent , Young Adult , Adult , Male , Retrospective Studies , Nutritional Status , Cross-Sectional Studies , Universities , Tuberculosis/drug therapy , Tuberculosis/epidemiology , Treatment Outcome , Tuberculosis, Pulmonary/drug therapy , Tuberculosis, Pulmonary/epidemiology , Hospitals, University , Hospitals, Teaching , Ethiopia/epidemiology , HIV Infections/complications , HIV Infections/drug therapy , HIV Infections/epidemiology
2.
Heliyon ; 8(10): e10793, 2022 Oct.
Article in English | MEDLINE | ID: mdl-36211995

ABSTRACT

Background: Overweight or obesity is an excessive fat accumulation that impairs the health and wellbeing of the adult population throughout the world. Recently Mid upper arm circumference (MUAC) was suggested as a screening index for overweight or obesity among adolescents, but its utilization for the assessment of overweight or obesity in the adult population is not clear yet. In addition, little is known about the screening ability of MUAC for overweight or obesity in the adult population of Ethiopia. Therefore, this study aimed to evaluate the utility of MUAC for screening overweight or obesity among adult employees of Mizan Tepi University, Southwest Ethiopia. Method: A Facility -based cross-sectional study was carried out from February 21 to March 20, 2020, at Mizan Tepi University. About 585 study participants were selected by gender-based stratified sampling technique. Anthropometric data like weight, height, and MUAC were collected. Pearson's correlation between MUAC, body mass index (BMI), and age was calculated to see a relationship between them. The Receiver operating characteristics (ROC) curve was calculated to identify the screening ability of MUAC for overweight or obesity. The appropriate MUAC cutoff point for both men and women established using the Youden index. Additionally, sensitivity, specificity, positive, and negative predictive values were calculated. Result: The prevalence of overweight and obesity among the study participants was 18.1% and 4.8%, respectively. MUAC had a strong positive correlation with BMI, r = 0.65 (95% CI; 0.56-0.69). According to ROC analysis, MUAC is an excellent screening tool for male and female employees with excellent accuracy (AUC = 0.9 with 91.4% sensitivity and 76.4% specificity) and good accuracy (AUC = 0.83 with 67.2% sensitivity and 83.5% specificity), respectively. Based on the youden index, the cutoff point of MUAC to screen overweight or obesity among male and female employees was 26.91cm. Conclusion: Mid-upper arm circumference (MUAC) has an equal ability with BMI to screen overweight or obesity among adults. Therefore, MUAC can be utilized as an alternative index to screen overweight and obesity in resource-limited setups.

3.
Integr Blood Press Control ; 14: 99-111, 2021.
Article in English | MEDLINE | ID: mdl-34295187

ABSTRACT

BACKGROUND: Globally, hypertension is becoming a serious problem affecting the health and wellbeing of the adult population. Anthropometric indices like body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) have long been utilized to screen hypertension; in contrast, other evidence indicates the superior utility of waist-to-height ratio (WHtR) to screen hypertension. There are inconclusive results from different studies done in different settings regarding the best screening index for hypertension. In addition, there is a paucity of information on the evaluation of anthropometric indices for screening hypertension in the study area. Therefore, this study evaluates the utility of anthropometric indices for screening hypertension among Mizan Tepi University employees, southwestern Ethiopia. METHODS: An institution-based cross-sectional study was conducted among Mizan Tepi University employees. A gender-based stratified simple random sampling technique was used to select 585 employees. Logistic regression analysis was conducted to assess the association between anthropometric indices and hypertension. Receiver operating characteristic curve (ROC) was employed to evaluate anthropometric indices for screening hypertension, and optimal cutoff points were also developed based on Youden index (sensitivity + specificity - 1) and presented with sensitivity, specificity, positive predictive value (PPV), and negative predictive values (NPV). RESULTS: The overall prevalence of hypertension was 20.9%, which was 22.5% in males and 18.7% in females. Among males, WHtR, WHR, and BMI were significantly associated with hypertension, while, in females, only BMI was associated with hypertension. WHtR had a higher screening ability for hypertension followed by WC in both sexes. For males, the cutoff point for WHR, WC, BMI, and WHtR for screening hypertension was 0.897, 85.17cm, 24.6kg/m2, and 0.51, respectively. In females, the cutoff point developed for screening hypertension for WHR, WC, BMI, and WHtR were 0.92, 85.67cm, 24.8kg/m2, and 0.52, respectively. CONCLUSION: The waist-to-height ratio was found to be the best obesity index to screen hypertension than BMI, WC, and WHR. The finding supports the use of WHtR for screening hypertension in resource-limited settings.

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