Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
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

Stochastic Modelling for Reliability from Russia
2013-12-20

 

 Prof Maxim (MS) Finkelstein’s
The Russian professor first visited our university in 1993 and loved the environment. For the last 15 years we were fortunate to have had a man of Prof Maxim (MS) Finkelstein’s (65) stature as part of our Department of Mathematical Statistics.

“I like the atmosphere, the environment and the people of the UFS,” says Prof Finkelstein. “The UFS is a real campus, not part of the city as a lot of other universities in South Africa.”

Prof Finkelstein completed his MSc in Mathematical Physics from the Leningrad State University in the USSR in 1971. Maths and Physics have been a passion of his since a young age. In 1979, Prof Finkelstein completed his PhD in Mathematical Theory of Reliability at Leningrad Elektropribor Institute. Before his career at our university, Prof Finkelstein was a Senior Researcher at St. Petersburg Elektropribor Institute and an Associate Professor at Leningrad Technological Institute.

His long list of publications includes over 170 papers and five books. His monograph Failure Rate Modelling for Reliability and Risk was published by Springer in 2008. More recently another monograph – which was co-authored with JH Cha – was published by Springer in April 2013 and is called Stochastic Modelling for Reliability: Shocks, Burn-in, and Heterogeneous Populations.

Prof Finkelstein’s research interests include mathematical theory of reliability, survival analysis, risk and safety modelling, stochastic processes and stochastics in demography. When asked about leisure and life outside of research, the devoted academic’s response was as follows…

“To have publications, you have to work all the time. I work half of Saturdays and most of Sundays,” Prof Finkelstein says. “I spend three months a year in Russia and Germany – mostly during the European summer – for my research.”
“But apart from that, I like reading – classical Russian authors mostly. I swim in the UFS’s swimming pool almost every day and I play tennis as well.”

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept