scholarly journals Spatial Variation of Child Stunting and Maternal Malnutrition after Controlling for Known Risk Factors in a Drought-Prone Rural Community in Southern Ethiopia

2021 ◽  
Vol 87 (1) ◽  
pp. 85
Author(s):  
Mehretu Belayneh ◽  
Eskindir Loha ◽  
Bernt Lindtjørn
Keyword(s):  
Risk Factors ◽  
Spatial Variation ◽  
Rural Community ◽  
Southern Ethiopia ◽  
Maternal Malnutrition ◽  
Child Stunting

CONTEXTUAL RISK FACTORS FOR MATERNAL MALNUTRITION IN A FOOD-INSECURE ZONE IN SOUTHERN ETHIOPIA

2012 ◽  
Vol 44 (5) ◽  
pp. 537-548 ◽  
Author(s):  
NIGATU REGASSA ◽  
BARBARA J. STOECKER
Keyword(s):  
Risk Factors ◽  
Nutritional Status ◽  
Food Distribution ◽  
Primary Data ◽  
Southern Ethiopia ◽  
Administrative District ◽  
Maternal Malnutrition ◽  
Household Level ◽  
Contextual Risk ◽  
Contextual Risk Factors

SummaryThis study examined the nutritional status of mothers in one of the most populous food-insecure zones in southern Ethiopia, the Sidama zone. The study used primary data collected from 1094 households with a child under 24 months located in ten kebeles (the smallest administrative district). Households were selected using multi-stage probability sampling techniques. The mothers' nutritional status was estimated using both body mass index (BMI) and mid-upper-arm circumference (MUAC). The results from the BMI analysis revealed that 28.1% of the women were malnourished (BMI <18.5) and 67.5% were normal (BMI 18.5 to <25.0), while the remaining small proportion (4.5%) fell in the overweight or obese categories. Similarly, the computation of maternal nutritional status by MUAC analysis showed that 31.4% of the women were malnourished (MUAC <22). Further analysis of the main predictors of maternal malnutrition using logistic regression showed that three individual-level variables and three household-level variables predicted maternal malnutrition: woman's age, duration of breast-feeding, literacy status, marital form, land size and intra-household food distribution. The study concludes that maternal malnutrition is a serious problem in the study area and that there are contextual risk factors that could be addressed to partially tackle the problem.

Risk factors for low birth weight in a rural community in southern Brazil

1996 ◽  
Vol 72 (6) ◽  
pp. 369-373 ◽  
Author(s):  
Ricardo Halpern ◽  
Earl S. Schaefer ◽  
Airton S. Pereira ◽  
Ernesto M. Arnt ◽  
Jandira Pureza Valente Bezerra ◽  
...  
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Rural Community ◽  
Southern Brazil

scholarly journals PREVALENCE OF BOVINE FACIOLOSIS IN HALABA MUNICIPAL ABATTOR SOUTHERN ETHIOPIA

2016 ◽  
Vol 4 (11) ◽  
pp. 82-91
Author(s):  
Muna Abdella ◽  
WubitTafese Mhatebu
Keyword(s):  
Risk Factors ◽  
Body Condition ◽  
Cross Sectional Study ◽  
Control Measures ◽  
Southern Ethiopia ◽  
Multivariable Logistic Regression Analysis ◽  
Cross Sectional ◽  
Significant Difference ◽  
Prevention And Control Measures ◽  
Associated Risk Factors

A cross-sectional study was carried out from November 2015 to march 2016 on bovine fasciolosis, to assess the abattoir based prevalence, predominant species of bovine fasciolosis and associated risk factors of the disease in cattle slaughtered in Halaba municipal abattoir. A total of 384 cattle were examined using post mortem examination. Infection rates were (3.64%), 2.34%, 2.08%, and 1.82 % F. gigantic, F. hepatica, mixed and immature respectively with the overall prevalence of 9.88 % (38). F. gigantic was found to be the most prevalent species in cattle of the study area. Multivariable logistic regression analysis showed that the risk of fasciola infection was significantly higher in poor body condition animals than in medium and good body condition animals (p < 0.05). However, in terms of age, sex and breed, no statistically significant difference was found between infected animals (p > 0.05).The present study showed that bovine fasciolosis is one of the important pathogens in cattle in the study area and warrants appropriate disease prevention and control measures and further epidemiological investigations to determine the different agro ecological risk factors on the occurrence of the disease.

scholarly journals Treatment outcome of tuberculosis at Dilla Referral Hospital, Gedeo Zone, southern Ethiopia: A retrospective study

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249369
Author(s):  
Endrias Markos Woldesemayat ◽  
Zewtir Azeze
Keyword(s):  
Risk Factors ◽  
Treatment Outcome ◽  
Success Rate ◽  
Treatment Success ◽  
Referral Hospital ◽  
Treatment Success Rate ◽  
Southern Ethiopia ◽  
Hiv Status ◽  
Hospital Data ◽  
Tb Treatment

Background Tuberculosis (TB) is one of the major public health problems in Ethiopia. Determining treatment outcome of TB cases could help to understand the effectiveness of TB control efforts. The objective of this study was to assess TB treatment outcome and associated factors and determine the risk factors of death among TB cases who were on Directly Observed Treatment Short course (DOTS). Methodology We analyzed a retrospective data for TB cases who were on DOTS at Dilla Referral Hospital from July 2011- June 2016. The study population was TB cases with known HIV status and whose treatment outcome was evaluated at the Hospital. Data were entered, cleaned and analyzed using statistical package SPSS for windows, version 20. Result Out of 899 registered TB cases, 731 included in this analysis. Of these cases, 424 (58.0%) were male and 334 (45.7%) were in the age group of below 25 years. Treatment success rate of TB was 675 (92.3%) and death rate was 18 (2.5%). Treatment outcome showed statistically significant variation by HIV status (P < 0.001). HIV status of the TB cases and pretreatment weight were associated with TB treatment outcome. HIV status of the TB cases was associated with death of the TB cases (Adjusted Odds Ratio (AOR) 5.0; CI 95%: 1.8–13.5). Conclusion TB treatment success rate found in this study was high. Patient’s weight and HIV status were associated with treatment outcome. Moreover, HIV status predicted death of TB cases. Cautious treatment follow-up and defaulter tracing mechanisms for TB cases with these risk factors were suggested.

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