Since December 2019, the world population has been battling with the SARS-CoV-2 disease (COVID-2019) pandemic. The pandemic has continued to impact negatively on people’s livelihoods and also on student’s education. This qualitative study established from students in a previously disadvantaged university, their challenges and needs pursuant to the COVID-19 nationwide lockdown in South Africa. A total of 312 (male = 141; female = 171) registered students were conveniently sampled and completed an online survey questionnaire. Thematically analysed data revealed that student education and health have been impacted since the COVID-19 nationwide lockdown. Participants went on to recommend several measures which, if implemented, could improve their well-being and access to education. Study findings imply that students from previously disadvantaged universities, who in their majority are from impoverished rural communities, have been struggling to access remote learning due to amongst others, the lack of information and communication technology (ICT) devices and network connectivity problems. It, therefore, requires rural-based universities to work together with the government and the private sector and join hands in addressing student challenges and needs during the on-going lockdown in the country. This would be one way of ensuring that in spite of students’ socioeconomic status, cultural location or background, their right to education is protected.

In view of persistent stunting and increasing rates of obesity coexisting among children in the era of the Integrated Nutrition Programme, a cross-sectional study was conducted to determined concurrent stunting and obesity (CSO) and related factors using a random sample of child–mother pairs (n = 400) in Mbombela, South Africa. Sociodemographic data was collected using a validated questionnaire, and stunting (≥2SD) and obesity (>3SD) were assessed through respective length-for-age (LAZ) and body mass index (BAZ) z-scores. Using SPSS 26.0, the mean age of children was 8 (4;11) months, and poor sociodemographic status was observed, in terms of maternal singlehood (73%), no education or attaining primary education only (21%), being unemployed (79%), living in households with a monthly income below R10,000 (≈$617), and poor sanitation (84%). The z-test for a single proportion showed a significant difference between the prevalence of CSO (41%) and non-CSO (69%). Testing for the two hypotheses using the Chi-square test showed no significant difference of CSO between boys (40%) and girls (41%), while CSO was significantly different and high among children aged 6–11 months (55%), compared to those aged 0–5 months (35%) and ≥12 months (30%). Further analysis using hierarchical logistic regression showed significant associations of CSO with employment (AOR = 0.34; 95%CI: 0.14–0.78), maternal education status (AOR = 0.39; 95%CI: 0.14–1.09) and water access (AOR = 2.47; 95%CI: 1.32;4.63). Evidence-based and multilevel intervention programs aiming to prevent CSO and addressing stunting, while improving weight status in children with social disadvantages, are necessary.

The occupation of taxi driving predisposes drivers to health risks, including obesity, cardiovascular and metabolic disorders. Although individual components of metabolic syndrome (MetS) are documented, data is scarce on concurrent metabolic disturbances among commercial drivers. The prevalence of MetS and its components were determined in a cross-sectional study among taxi drivers (n = 362) in the City of Tshwane, South Africa. Sociodemographic, occupational, and lifestyle factors were assessed using a structured questionnaire. Anthropometry, blood pressure, and glucose were measured. MetS was defined based on BMI strata, hypertension, and glucose levels. Data was analyzed using SPSS. The mean age of taxi drivers was 42 ± 10.9 years. Overall prevalence of MetS was 17.1%, with higher prevalence observed among older taxi drivers (24.2%) and those with longer experience in the industry (22.9%). Individual components of MetS were obesity (36%), hypertension (36%) and diabetes (46%), while smoking (30%), alcohol use (59%), and physical inactivity (71%) were observed. MetS was associated with duration in the taxi industry, and family history of diabetes among taxi drivers. The presence of MetS and its components among taxi drivers calls for early identification of cardiometabolic risks in the taxi industry and efforts towards achieving a healthier workforce.

Objectives: The aim of the study was to determine which anthropometric indices can best predict the presence of common cardiovascular risk factors among young adults in the rural village of Ellisras in the Limpopo Province, South Africa. Methods: A total of 624 young adults (306 males and 318 females) aged 18 to 29 years took part in this cross-sectional study. Anthropometrics were measured according to the standard procedures. Blood pressure and blood parameters were collected and measured. The stepwise logistic regression was used to determine anthropometric indices that can predict the presence of common cardiovascular risk factors and a receiver-operating characteristic (ROC) curve was plotted to assess discrimination abilities of anthropometric indices for cardiovascular risk factors. Results: The waist-to-hip ratio (WHR) in multivariable adjusted models was not found to be associated with cardiovascular risk factors compared to body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR). The area below the ROC curve for the abovementioned indices was above 0.62. Conclusions: The central obesity indices, WC and WHtR, are better predictors of dyslipedemia and hypercholesterolemia, whereas BMI was a better predictor of hypertension among young adults living in rural South Africa between the ages of 18 and 29 years.

Background: Despite many initiatives made by the National Department of Health through the Minister of Health, the provision of quality health care services remains a serious challenge in South Africa, especially in public rural clinics.Aim: The study aims to determine the perceptions of professional nurses on the factors affecting the provision of quality health care services at selected public primary health care clinics in rural areas of the Capricorn District, Limpopo Province.Setting: The study was conducted at selected public primary health care clinics in rural areas of the Capricorn District, Limpopo Province.Methods: This study utilised a quantitative method, descriptive and a cross-sectional study conducted for three months at the selected public primary health care clinics. A structured self-administered questionnaire was used to collect data from 155 professional nurses who met the selection criteria. Data were analysed using Statistical Package for Social Sciences programme version 26.0.Results: The results of 155 professional nurses were only 116 (74%) and reported that the use of modern technology such as electronic blood pressure, sonar machines and pulse reading computers improves the quality of health care services. Also 129 (84%), 124 (77%) and 118 (76%) reported that they were overwhelmed by the workload, the staff attitude and cleanliness of the clinic, respectively, which all affect the quality of health care services rendered. Moreover, only about 29 (19%) were satisfied with the salary they earned.Conclusion: Despite the effort and interventions put in place by the Department of Health with regard to the Ideal Clinic Realisation and Maintenance in response to the current deficiencies in the quality of primary health care services and to lay a strong foundation for the implementation of National Health Insurance. The quality of health care services is still hindered by several factors such as an overwhelming workload, the attitude of the staff and cleanliness in the work environment, poor infrastructure and the professional nurses perceive the environment as lacking equipment.

The burden of hypertension is reported to be on the rise in developing countries, such as South Africa, despite increased efforts to address it. Using a cross-sectional study design, we assessed and compared the prevalence of and risk factors associated with hypertension amongst adults aged ≥18 years in semi-urban and rural communities (1187 semi-urban and 1106 rural). Trained community health workers administered the INTERHEART Risk Score tool and performed blood pressure assessments using the MEDIC Pharmacists Choice Blood Pressure Monitor. Hypertension was defined to be a systolic blood pressure (BP) ≥ 140 mmHg and diastolic BP ≥ 90 mmHg. A multivariate logistic regression model was used to identify factors and determine their relationship with hypertension. The prevalence of hypertension amongst semi-urban and rural communities was 21% with no gender difference. In the semi-urban area, physical activity, family history, fruit intake, salty food, and eating meat were significantly associated with the odds of hypertension among women, whereas only the waist-to-hip ratio (WHR), diabetic status, and salty food were the predictors for rural women. Factors such as fried food and low fruit intake were significantly associated with the odds of hypertension among men in the semi-urban area, whereas only the WHR was significant among men in the rural area. Hypertension was found to be prevalent among semi-urban and rural adults in Limpopo Province, South Africa.

Metabolic syndrome (MetS) is a cluster of metabolic conditions that aggravate the likelihood of cardiovascular diseases and type 2 diabetes mellitus. This study was aimed to identify the best obesity index to determine MetS. This was a cross-sectional study and part of the Ellisras Longitudinal Study where 593 (289 males and 304 females) adults aged 22–30 years took part. Confirmatory factor analysis was used to test the single-factor models of MetS defined by mid arterial pressure, fasting blood glucose, triglycerides and commonly selected obesity indices such as Neck circumference (NC), Body mass index (BMI), Waist circumference (WC) and Waist to height ratio (WHtR) as indicators of MetS. It was found that a single model fit built based on WC and WHtR suggested a better fit index than NC and BMI in males, whereas, a model built on NC obtained a better fit index for females than other factor models. In conclusion, the result of the present study suggests that in rural Ellisras adult’s, WC and WHtR are the best obesity indices for determining MetS in males and NC in females than other indices. Hence, longitudinal studies are recommended to allow causality to be drawn between obesity indices and MetS.

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