Application of multinomial logistic regression to educational factors of the 2009 General Household Survey in South Africa

2015 ◽  
Vol 43 (1) ◽  
pp. 128-139 ◽  
Author(s):  
Simon Monyai ◽  
'Maseka Lesaoana ◽  
Timotheus Darikwa ◽  
Philimon Nyamugure
PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3198 ◽  
Author(s):  
Daniel N. Qekwana ◽  
James Wabwire Oguttu ◽  
Fortune Sithole ◽  
Agricola Odoi

BackgroundStaphylococci are commensals of the mucosal surface and skin of humans and animals, but have been implicated in infections such as otitis externa, pyoderma, urinary tract infections and post-surgical complications. Laboratory records provide useful information to help investigate these infections. Therefore, the objective of this study was to investigate the burdens of these infections and use multinomial regression to examine the associations between variousStaphylococcusinfections and demographic and temporal factors among dogs admitted to an academic veterinary hospital in South Africa.MethodsRecords of 1,497 clinical canine samples submitted to the bacteriology laboratory at a veterinary academic hospital between 2007 and 2012 were included in this study. Proportions of staphylococcal positive samples were calculated, and a multinomial logistic regression model was used to identify predictors of staphylococcal infections.ResultsTwenty-seven percent of the samples tested positive forStaphylococcusspp. The species ofStaphylococcusidentified wereS. pseudintermedius(19.0%),S. aureus(3.8%),S. epidermidis(0.7%) andS. felis(0.1%). The remaining 2.87% consisted of unspeciatedStaphylococcus. Distribution of the species by age of dog showed thatS. pseudintermediuswas the most common (25.6%) in dogs aged 2–4 years whileS. aureuswas most frequent (6.3%) in dogs aged 5–6 years.S. pseudintermedius(34.1%) andS. aureus(35.1%) were the most frequently isolated species from skin samples. The results of the multivariable multinomial logistic regression model identified specimen, year and age of the dog as significant predictors of the risk of infection withStaphylococcus. There was a significant temporal increase (RRR = 1.17; 95% CI [1.06–1.29]) in the likelihood of a dog testing positive forS. pseudintermediuscompared to testing negative. Dogs ≤ 8 years of age were significantly more likely to test positive forS. aureusthan those >8 years of age. Similarly, dogs between 2–8 years of age were significantly more likely to test positive forS. pseudintermediusthan those >8 years of age. In addition, dogs 2–4 years of age (RRR = 1.83; 1.09–3.06) were significantly more likely to test positive forS. pseudintermediuscompared to those <2 years of age. The risk of infection withS. pseudintermediusorS. aureuswas significantly higher in ear canal and skin specimens compared to other specimens.ConclusionsThe findings suggest thatS. pseudintermediusandS. aureuswere the most commonly isolated species from dogs presented at the study hospital. Age of the dog and the location of infection were significant predictors of infection with bothStaphylococcusspecies investigated. Significant increasing temporal trend was observed forS. pseudintermediusbut notS. aureus. This information is useful for guiding clinical decisions as well as future research.


Author(s):  
David Mhlanga ◽  
Rufaro Garidzirai

The study sought to analyse the influence of racial differences in the demand for public healthcare in South Africa, using the 2018 General Household Survey (GHS) data. This was completed to understand if race still plays a role in access to healthcare in post-apartheid South Africa. Logistic regression analysis revealed that race significantly explained the variance in demand for public healthcare, with White populations having the lowest probability of demand for public healthcare compared to other races. Consequently, the study noted that racial differences still play a critical role in affording one access to healthcare after assessing the situation obtaining in public healthcare. Therefore, the study recommends that the government of South Africa should create policies that encourage equal access to basic services in addressing racial inequality in the country.


Author(s):  
Phindile Mdluli

Poverty remains a critical and complex phenomenon in developing countries, South Africa included. Over the years, poverty has escalated significantly, particularly in Africa, while it has declined in most developed regions. The worsening statistics in Africa have raised concerns of a lack of understanding of poverty among policymakers and governments. In South Africa, poverty has been increasing, with more than 50 percent of households living in poverty. Additionally, approximately 26 percent of females live in extreme poverty, while at the same time the country is experiencing a growing trend of female-headed households continually identified as vulnerable to the indignities of poverty compared to male-headed households. Although poverty in South Africa has been studied extensively, existing literature shows that it is still a debatable topic, since the dynamics have not improved much, but rather worsened in recent years particularly post-apartheid. Using the 2018 general household survey data with a sample of 19 219 observations collected by Statistics South Africa, the primary objective of the study is to examine the determinants of poverty among female-headed households in South Africa. The study uses the following statistical methods: descriptive statistics, cross-tabulations and a binary logistic regression. The estimated results show that factors such as education level, employment status, age, gender, race, household size and marital status determine the poverty status of female-headed households. Females experience higher levels of poverty when compared to their male counterpart using the upper bound poverty line. Keywords: Poverty, household, female-headed household, male-headed households, South Africa


Data in Brief ◽  
2019 ◽  
Vol 23 ◽  
pp. 103730 ◽  
Author(s):  
Abiodun Olusola Omotayo ◽  
Adebayo Isaiah Ogunniyi ◽  
Adeyemi Oladapo Aremu

Author(s):  
Abiodun Olusola Omotayo ◽  
Abeeb Babatunde Omotoso ◽  
Adebola Saidat Daud ◽  
Adebayo Isaiah Ogunniyi ◽  
Kehinde Oluseyi Olagunju

Safeguarding the environment and its citizens’ health remains one of the key policy priorities of the governments of many developing and emerging countries. Using the 2017 General Household Survey (GHS) dataset, this study examines the driving factors affecting households’ recycling behaviour and payment for waste disposal in South Africa. The methods of data analysis were based on descriptive statistics and a Bivariate Probit regression model. The descriptive statistics results indicate that there are 56.29% male-headed and 43.71% female headed households, with an average age of 49 years. In addition, the study shows that 89.97% of household heads had formal education with a mean monthly income of 11,099.07 ZAR/650.504 USD. The study also revealed that 22% of the households sampled had access to social grants. The results from the Bivariate Probit regression model show that household’s income, access to social grants, formal educational attainment and the age of the household were significant (p < 0.01) driving factors affecting households’ recycling behaviour and payment for waste disposal. The study concludes that the households’ socio-economic factors affect their recycling behaviour and willingness to pay for waste management in South Africa. Actions targeted at poverty alleviation and environmental sensitization programmes are key for facilitating environmental conservation behaviours of households in South Africa in order to achieve the environmental sustainability Sustainable Development Goal (SDG) target of the United Nations.


2019 ◽  
Vol 49 (1) ◽  
pp. 50-56
Author(s):  
Obvious Mapiye ◽  
Godswill Makombe ◽  
Cletos Mapiye ◽  
Kennedy Dzama

A survey was conducted to identify management information sources and communication channels used by commercially oriented smallholder beef cattle producers ( n = 62) in Limpopo province, South Africa. A total of 62 commercially oriented smallholder farmers under the Limpopo Industrial Development Corporation-Nguni cattle project were interviewed using a structured questionnaire to collect data. Descriptive statistics were used to analyse data on farmers’ demographic and farm characteristics, sources of information and communication channels used. A multinomial logistic regression model was used to evaluate factors that influenced farmers’ choices of information sources and communications channels used. Findings show that government extension (53% of the respondents) and other farmers (30%) were the major sources of management information for the farmers. Based on the logistic regression results, the decision to choose government extension as the main source of information was mainly influenced by respondents’ gender ( p = 0.001) and access to training ( p = 0.023). Communication was mainly through farm-to-farm visits (56%) and the use of mobile phones (30%). Based on the current findings, the infusion of modern information communication technologies such as mobile phone-based innovations with the existing government extension service could further strengthen the capacity of farmers to share information among themselves as well as providing feedback to extension agents. Furthermore, it is essential to take cognizance of farmers’ socio-economic factors when identifying and characterizing their management information sources and communication strategies.


2019 ◽  
Vol 12 (1) ◽  
pp. 164-171
Author(s):  
L. Mlangeni ◽  
M. Mabaso ◽  
L. Makola ◽  
K. Zuma

Background: The association between Self-Rated Health (SRH) and poor health outcomes is well established. Economically and socially marginalized individuals have been shown to be more likely to have poor SRH. There are few representative studies that assess the factors that influence SRH amongst individuals in KwaZulu-Natal, South Africa. This study assessed factors associated with poor self-rated health amongst individuals from KwaZulu-Natal using data from the 2012 South African national household survey. Methods: The 2012 South African population-based nationally representative household survey employed a multi-stage stratified cluster randomised crossectional design. Multivariate backward stepwise logistic regression models were used to determine whether SRH is significantly influenced by socio-demographic and health-related factors. Results: Out of a total of 5192 participants living in KZN, 18.1% reported having fair/poor SRH. In the multivariate logistic regression model the increased likelihood of reporting fair/poor was significantly associated with being older, HIV positive, being an excessive drinker, and not having medical aid. The decreased likelihood of reporting fair/poor was associated with being educated, not having a chronic condition, being physically active, being employed, and not accessing care regularly. Conclusion: This study has shown that marginalized individuals are more likely to have poorer SRH. Greater efforts need to be made to ensure that these individuals are brought into the fold through education, job opportunities, health insurance, social support services for poor living conditions, and poor well-being including services for substance abusers.


Sign in / Sign up

Export Citation Format

Share Document