The Synergistic Effects of Socio-Economic Factors on the Risk of HIV Infection: A Comparative Study of Two Sub-Cities in Addis Ababa, Ethiopia

2012 ◽  
Vol 28 (2) ◽  
pp. 73-95 ◽  
Author(s):  
Assefa Tolera Sori
Keyword(s):  
Hiv Infection ◽  
Comparative Study ◽  
Synergistic Effects ◽  
Addis Ababa ◽  
Economic Factors ◽  
Socio Economic Factors

scholarly journals Socio-Economic Factors Determining the Dissemination of Hiv Infection in the Russian Regions

2018 ◽  
Vol 17 (2) ◽  
pp. 242-262
Author(s):  
A. S. Podymova ◽  
◽  
I. D. Turgel ◽  
P. D. Kuznetsov ◽  
K. V. Chukavina ◽  
...  
Keyword(s):  
Hiv Infection ◽  
Economic Factors ◽  
Russian Regions ◽  
Socio Economic Factors

scholarly journals Household socio-economic status and likelihood of HIV infection among under five-year children in Muheza district, north-eastern Tanzania

2019 ◽  
Author(s):  
Veneranda M. Bwana ◽  
Edgar Simulundu ◽  
Leonard E.G. Mboera ◽  
Sayoki G. Mfinanga ◽  
Charles Michelo
Keyword(s):  
Hiv Infection ◽  
Rural Areas ◽  
Urban Areas ◽  
Household Wealth ◽  
Education Level ◽  
Hiv Prevalence ◽  
Sub Saharan Africa ◽  
Economic Factors ◽  
Under Five ◽  
Socio Economic Factors

AbstractBackgroundThere are evidences of the association between socio-economic factors and HIV prevalence in Sub-Saharan Africa. However, there is dearth of information on such relationship in Tanzania. Here, we present data on the relationship between household’s socio-economic factors and HIV prevalence among under five-year children in Muheza district, Tanzania.MethodsWe conducted a facility-based study from June 2015 to June 2016 in which we enrolled under five-year children born to HIV positive mothers. Information on HIV status of the child and socio-demographic characteristic of the head of the household was collected using a structured questionnaire. Data analysis was done using STATA version 13.0.ResultsA total of 576 mothers/guardians were interviewed each with respective HIV exposed under five-year child. Children who belonged to a head of household with at least a high education level (AOR= 0.4, 95% CI 0.2-0.8) and living in a relatively wealthy household (AOR = 0.5, 95% CI 0.2-0.9) was associated with reduced odds of HIV infection among children. Univariate analysis revealed that the odds of HIV infection was three-fold (COR = 2.9, 95% CI 1.2-7.0) higher among children living in rural than in urban areas. The heads of household living in rural areas (AOR=0.3 95% CI 0.1-0.9) had low education level compared to those living in urban areas.ConclusionChildren who belong to the head of households with high educational level, high household wealth were associated with reduced likelihood of HIV infection in Tanzania. Children living in rural areas had increased likelihood of acquiring HIV infection. These findings stress the need to focus on improving education status of the population and economically disadvantaged populations as a strategy for HIV prevention and control measures.

scholarly journals Socioeconomic characteristics of autistic children: a comparative study

2020 ◽  
Vol 7 (8) ◽  
pp. 2914
Author(s):  
Zoshita Hamid ◽  
Sarmin Sultana ◽  
Saika Nizam ◽  
Rabeya Yasmin ◽  
M. H. Faruquee ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Comparative Study ◽  
Logistic Regression Analysis ◽  
Family Income ◽  
Economic Factors ◽  
Autistic Children ◽  
Socioeconomic Characteristics ◽  
The Mean ◽  
Socio Economic Factors

Background: Prevalence of autism is increasing and growing as an important public health problem. Prevention of autism is still a complicated issue. Thus, the management and rehabilitation of autistic children socially could be the main option.  For which the role of socio-economic factors of the autistic children needs to be considered.Methods: This was a cross-sectional comparative study conducted among the autistic and non-autistic children to compare their socioeconomic characteristics. A total of 90 autistic children from two specialized schools and age-matched 180 non-autistic children from nearby schools were included in this study.Results: Overall the mean age of the children was 8.01±2.974 years. More than fourth-fifths (84.4%) of the autistic children were male. In comparison to non-autistic children, significantly (p<0.05) autistic children had small family size (4.79) and higher family income (Taka=34588). Higher education of both father and mother was also found to be significantly associated with autistic children. However, logistic regression analysis revealed that post-graduate education of the father had the strongest (6.4 times) ability to predict the occurrence of autism. The mean age of the mother at birth of autistic children was significantly higher (31.16 years) and logistic regression analysis revealed that higher age of the mother at birth had 1.3 times ability to predict the occurrence of autism. Moreover, the analysis revealed that mothers who were housewife 2.3 times more likely to predict the occurrence of autism.Conclusions: The study revealed that some socio-economic factors were significantly related to autistic children compared to those of non-autistic children.

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