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Infant body composition research revolutionised with new PEA POD® technology

25 January 2024 | Story Leonie Bolleurs | Photo Sonia Small

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

Harvard couple to present lectures on Biostatistics and Mathematics at the UFS

2015-12-07

Professor Donald Rubin

Prof Donald Rubin (John L. Loeb Professor of Statistics at Harvard University) and Elizabeth Zell (MStat - mathematical statistician in the Division of Bacterial Diseases) will visit the University of the Free State (UFS) where they will present lectures on their respective work.

Over his prestigious academic career, Prof Don Rubin’s 400 publications and 13 books have earned him around 180 000 citations at an h-index of 113. He is one of the most cited statisticians/mathematicians/economists/psychologists in the world over the last 10 -15 years. He has supervised 35 PhD candidates as sole-supervisor, 17 more as co-supervisor, with a further eight in the pipeline.

Prof Rubin who will meet with UFS academics in the Department of Mathematics and Actuarial Sciences will also deliver a lecture: Rerandomisation to improve covariate balance in experiments.

Randomised experiments are the “gold standard” for estimating causal effects, yet in practice, chance imbalances often exist in covariate distributions between treatment groups. If covariate data are available before units are exposed to treatments, these chance imbalances can be mitigated by first checking covariate balance before the physical experiment takes place. Provided a precise definition of imbalance has been specified in advance, unbalanced randomisations can be discarded, followed by a rerandomisation. This process can continue until a randomisation yielding balance according to the definition is achieved. By improving covariate balance, rerandomisation provides more precise and trustworthy estimates of treatment effects.

Prof Rubin received an honorary professorship from the Faculty of Natural and Agricultural Sciences at the UFS.

Elizabeth Zell

The lecture will take place on:
Date: Tuesday 8 December 2015
Time: 16:00
Venue: Albert Wessels Auditorium, Bloemfontein Campus

Zell earned her Master’s degree in Statistics at North Carolina State University, and for more than two decades, was an active bio-statistical researcher in various offices of the Centers for Disease Control (CDC). Since 2013, she has been the Principal Statistician and President of Stat-Epi Associates, Inc. Her 150+ publications have earned her 14 500 citations at an h-index of over 50. She is a Fellow of the American Statistical Association, and, in 2010, she received the Statistics Section Government Award for outstanding contributions to statistics and public health by the American Public Health Association. During her career at the CDC, she earned more than 20 CDC research awards and honours.

She will deliver two lectures at the UFS. The first is entitled A Potential Outcomes Approach to Documenting the Public Health Impact of the Introduction of PCV13 for the Prevention of Invasive Pneumococcal Disease. The topic of her second lecture is: Assessing the Effectiveness of Intrapartum Antibiotic Prophylaxis for Prevention of Early-Onset Group B Streptococcus Disease through Propensity Score Design

Elizabeth’s lectures will take place on:
Date: Wednesday 9 December 2015
Time: 10:45 and 13:00
Venue: West Block 111, Bloemfontein Campus

For more information, please contact Dr Michael von Maltitz at VMaltitzMJ@ufs.ac.za.

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