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25 January 2024 | Story Leonie Bolleurs | Photo Sonia Small
Prof Corinna Walsh
Prof Corinna Walsh says the PEA POD Infant Body Composition System works by directly measuring an infant’s body weight and volume, and then uses these measurements to calculate the body fat percentage, fat mass, and fat-free mass.

Nutritional and growth patterns during early life have been associated with health, development, and well-being throughout the life cycle. It is also associated with risks for developing obesity and non-communicable diseases, such as cardiometabolic diseases, later in life. These are the findings of Prof Corinna Walsh, Professor in the Department of Nutrition and Dietetics.

Maternal and child health

”In line with national priorities, a strong research focus area of the Faculty of Health Sciences and the School of Health and Rehabilitation Sciences is maternal and child health,” she says. She goes on to mention that the Department of Nutrition and Dietetics has established a reputable research programme. This programme focuses primarily on the nutritional status of pregnant women and how the early environment to which they are exposed during and after pregnancy affects short- and long-term health outcomes of the offspring.

“In our previous work, the assessment of birth outcomes of infants was, however, limited by the lack of equipment to analyse body composition. The research that we can conduct with the PEA POD® provides us with immense additional potential,” remarks Prof Walsh.

She explains, “The PEA POD Infant Body Composition System is an infant-sized air displacement plethysmography system. It works by directly measuring an infant’s body weight and volume, and then uses these measurements to calculate the body fat percentage, fat mass, and fat-free mass.

According to her, the assessment of body volume takes two minutes. “The PEA POD technique also does not require collection of any fluids and does not expose the infant to radiation. It can be performed as often as required without any risks and be used up to a maximum of 8-10 kg body weight, from birth to about eight months,” she says.

Advanced technology

In the context of research on infant body weight and composition, there is a need for accurate measurement techniques that can differentiate between fat mass and fat-free mass. Prof Walsh is of the opinion that traditional measures such as body mass index (BMI) and weight for length have limitations in this regard, as they do not provide a clear distinction between these components. Furthermore, BMI may not be reliable for assessing adiposity or obesity in paediatric populations, and it can vary significantly with age and gender.

Addressing these challenges, the PEA POD equipment offers advanced technology that allows for highly accurate quantification of infant body composition. This technological capability opens up opportunities to study the effects of early-life nutrition on growth and the developmental mechanisms that may lead to later comorbidities. So, when it comes to researching infant body weight and composition, the PEA POD equipment plays a crucial role in providing precise data and insights.

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Students take part in prestigious programme at Stanford University
2013-08-05

 

Ready for Stanford. From the left are: Patricia Mapipi, SinazoMabunu, Claudio Carlos, Elzahn van der Westhuizen, Stefan van der Westhuizen and Zakariyya Patel.
Photo: Jerry Mokoroane
05 August 2013

At the end of August 2013 six Kovsies will depart for Stanford Sophomore College in San Francisco, USA, to take part in a prestigious residential programme. The programme stems from a key partnership between the UFS and Stanford University.

This programme involves the most talented second-year undergraduate students from both the UFS and Oxford universities joining the Stanford Sophomore College.These students spend over two weeks during the USA summer recess engaged in a programme which concentrates on the academic studying of innovative and multidisciplinary topics.

The Kovsies students selected for the 2013 programme are: Patricia Mapipi and Sinazo Mabunu from the Faculty of the Humanities; Claudio Carlos and Elzahn van der Westhuizen from the Faculty of Economic and Management Sciences; and Stefan van der Westhuizen and Zakariyya Patel from the Faculty of Health Sciences.

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