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19 June 2023 | Story André Damons | Photo André Damons
Prof Jan Du Plessis
Prof Jan du Plessis is Head of the Paediatric Oncology Unit at the University of the Free State.

Many children in South Africa diagnosed with childhood cancer have a poorer overall survival rate and are more likely to abandon their treatment because they experience high poverty and food insecurity at home.

This is according to findings from a new study which Prof Jan du Plessis, Head of the Paediatric Oncology Unit at the University of the Free State (UFS), was part of. The study, titled ‘Prevalence of Poverty and Hunger at Cancer Diagnosis and Its Association with Malnutrition and Overall Survival in South Africa’, was recently published in the journal Nutrition and Cancer.

It found a high prevalence of poverty and hunger among South African children diagnosed with cancer. Food insecurity was associated with treatment abandonment and poorer overall survival.

The research was conceptualised by Judy Schoeman, dietitian at the Steve Biko Academic Hospital, as part of her PhD study. Prof Du Plessis and departmental dietitian Mariechen Herholdt, who recognised the importance and value of this study, enrolled patients, collected data, and critically reviewed the manuscript. Five different paediatric oncology units throughout the country participated.

Stunting as indicator of chronic malnutrition

Prof Du Plessis says stunting is an indicator of chronic malnutrition, and causes tissue damage, reduced function of neurotransmitters, and decreased overall development of all factors. Stunting is also associated with reduced lung growth and -function, which can influence the prevalence of pulmonary infections, have an impact on morbidity, and increase the risk of mortality. It also affects cognitive development, with poorer academic achievement and reduced economic productivity for children and adults affected by stunting.

“Our study found that South African children with malnutrition at cancer diagnosis often experienced food insecurity at home, underscoring the need to address primary rather than secondary malnutrition. This observation was especially apparent among children from rural provinces,” Prof Du Plessis says. “Many children in our study experienced high poverty and food insecurity risk at diagnosis; thus, nutritional counselling targeting dietary intake in the home setting should be a priority for these patients.”

High-quality diet may have protective effect

Recent literature has found that a high-quality diet may have a protective effect against some treatment-related toxicities of cancer treatment. Hunger at home was significantly associated with increased risk for treatment abandonment and risk of death.

Prof Du Plessis states, “According to the South African census (2015), 30 million people live on less than R84.11 (US$5) per day, and 55% of South African children live below the ultra-poverty line (R800/month or US$45.81/month)…

“In a previous South African study of children with germ cell tumours from families with higher socioeconomic status (household income of US$191/year or US$6/day), they have experienced significantly improved overall survival (OS) at five years. Indonesian children from low-income families diagnosed with acute lymphoblastic leukaemia have also experienced significantly lower event-free survival two years or longer after diagnosis than those from higher-income families.”

Prof Du Plessis says nutritional intervention should be implemented from diagnosis to improve patients’ nutritional status and survival.

Enhance collaborations to enhance outcomes

The study further illustrated that children with stunting and malnutrition at cancer diagnosis were more likely to live in poverty, thereby highlighting a group of children needing social services and support networks over and above the existing structures available to South African children with cancer.

The study underscores the need for medical centres to enhance collaboration with organisations that provide financial and/or other support to families throughout treatment to enhance outcomes.

The study came about as poor nutritional status in children with cancer has been associated with poorer cancer outcomes. Identifying modifiable risk factors that lead to poor nutrition in children with cancer is an understudied area, especially in a country such as South Africa, explains Prof Du Plessis. 

“Understanding the scope of poverty and hunger and its association with nutritional status among children undergoing cancer treatment is needed. As half of South Africans experience chronic poverty over time, food insecurity will be affected; we investigated the prevalence of poverty and food insecurity at cancer diagnosis, their association with malnutrition at the time of diagnosis, and overall survival at one year post-diagnosis.

“Malnutrition is a modifiable prognostic risk factor. The findings underscore the importance of incorporating an assessment of the risk of living in poverty and/or with food insecurity at diagnosis – and potentially throughout therapy – to ensure that families are referred to appropriate support networks. Evaluating sociodemographic factors at diagnosis is essential among South African children to identify at-risk children and implement adequate nutritional support during cancer treatment,” Prof Du Plessis concludes.

This research aligns with the UFS’s Vision 130 – to not only be a university that cares and is sustainable, but also to be a research-led, student-centred, and regionally engaged university that contributes to development and social justice. This knowledge will assist in efficiently allocating hospital resources and establishing support networks to ensure that the most vulnerable children are supported with proactive nutrition interventions while undergoing cancer treatment.

News Archive

Researcher works on finding practical solutions to plant diseases for farmers
2017-10-03

 Description: Lisa read more Tags: Plant disease, Lisa Ann Rothman, Department of Plant Sciences, 3 Minute Thesis,  

Lisa Ann Rothman, researcher in the Department of
Plant Sciences.
Photo: Supplied

 


Plant disease epidemics have wreaked havoc for many centuries. Notable examples are the devastating Great Famine in Ireland and the Witches of Salem. 

Plant diseases form, due to a reaction to suitable environments, when a susceptible host and viable disease causal organism are present. If the interactions between these three factors are monitored over space and time the outcome has the ability to form a “simplification of reality”. This is more formally known as a plant disease model. Lisa Ann Rothman, a researcher in the Department of Plant Sciences at the University of the Free State (UFS) participated in the Three Minute Thesis competition in which she presented on Using mathematical models to predict plant disease. 

Forecast models provide promise fighting plant diseases
The aim of Lisa’s study is to identify weather and other driving variables that interact with critical host growth stages and pathogens to favour disease incidence and severity, for future development of risk forecasting models. Lisa used the disease, sorghum grain mold, caused by colonisation of Fusarium graminearum, and concomitant mycotoxin production to illustrate the modelling process. 

She said: “Internationally, forecasting models for many plant diseases exist and are applied commercially for important agricultural crops. The application of these models in a South African context has been limited, but provides promise for effective disease intervention technologies.

Contributing to the betterment of society
“My BSc Agric (Plant Pathology) undergraduate degree was completed in combination with Agrometeorology, agricultural weather science. I knew that I wanted to combine my love for weather science with my primary interest, Plant Pathology. 
“My research is built on the statement of Lord Kelvin: ‘To measure is to know and if you cannot measure it, you cannot improve it’. Measuring the changes in plant disease epidemics allows for these models to be developed and ultimately provide practical solutions for our farmers. Plant disease prediction models have the potential ability to reduce the risk for famers, allowing the timing of fungicide applications to be optimised, thus protecting their yields and ultimately their livelihoods. I am continuing my studies in agriculture in the hope of contributing to the betterment of society.” 

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