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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.

News Archive

#FaceOfFacebook 2016/2017
2016-04-29

Kovsies #FaceOfFacebook was initiated from the need to communicate with students, thus becoming a virtual friend. Annual auditions are held to choose the new face representing the UFS on Facebook. The successful candidate holds the title of #FaceOfFacebook for the next 12 months, attending events, and filming short video clips to post on our Facebook page. In effect, the #FaceOfFacebook is not only an important spokesperson, but a proud Kovsie ambassador as well. At the end of their reign, they receive a recommendation letter and portfolio of their work.

 

Here are our top five contestants (in no particular order):

  • Jet'aime Pond

  • Tshwaro Thothela

  • Mbulelo Siyoko

  • Ingrid Wentzel

  • Reuben Davids

 

The next phase of our #FaceOfFacebook auditions involves you. In the words of one of our contestants: "I need your vote ... Like this post, share and go tell your friends about it."

 

Go to the UFS Facebook page to view the videos of our Top Five contestants, and like your favourite. Each like will count as a vote, and the person with the most votes at the closing time will be declared the winner. You will need to be a registered Facebook user to vote.

 

The deadline for voting is 6 May 2016 at 16:00.

 

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