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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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Inaugural lecture: Prof. Phillipe Burger
2007-11-26

 

Attending the lecture were, from the left: Prof. Tienie Crous (Dean of the Faculty of Economic and Management Sciences at the UFS), Prof. Phillipe Burger (Departmental Chairperson of the Department of Economics at the UFS), and Prof. Frederick Fourie (Rector and Vice-Chancellor of the UFS).
Photo: Stephen Collet

 
A summary of an inaugural lecture presented by Prof. Phillipe Burger on the topic: “The ups and downs of the South African Economy: Rough seas or smooth sailing?”

South African business cycle shows reduction in volatility

Better monetary policy and improvements in the financial sector that place less liquidity constraints on individuals is one of the main reasons for the reduction in the volatility of the South African economy. The improvement in access to the financial sector also enables individuals to manage their debt better.

These are some of the findings in an analysis on the volatility of the South African business cycle done by Prof. Philippe Burger, Departmental Chairperson of the University of the Free State’s (UFS) Department of Economics.

Prof. Burger delivered his inaugural lecture last night (22 November 2007) on the Main Campus in Bloemfontein on the topic “The ups and downs of the South African Economy: Rough seas or smooth sailing?”

In his lecture, Prof. Burger emphasised a few key aspects of the South African business cycle and indicated how it changed during the periods 1960-1976, 1976-1994 en 1994-2006.

With the Gross Domestic Product (GDP) as an indicator of the business cycle, the analysis identified the variables that showed the highest correlation with the GDP. During the periods 1976-1994 and 1994-2006, these included durable consumption, manufacturing investment, private sector investment, as well as investment in machinery and non-residential buildings. Other variables that also show a high correlation with the GDP are imports, non-durable consumption, investment in the financial services sector, investment by general government, as well as investment in residential buildings.

Prof. Burger’s analysis also shows that changes in durable consumption, investment in the manufacturing sector, investment in the private sector, as well as investment in non-residential buildings preceded changes in the GDP. If changes in a variable such as durable consumption precede changes in the GDP, it is an indication that durable consumption is one of the drivers of the business cycle. The up or down swing of durable consumption may, in other words, just as well contribute to an up or down swing in the business cycle.

A surprising finding of the analysis is the particularly strong role durable consumption has played in the business cycle since 1994. This finding is especially surprising due to the fact that durable consumption only constitutes about 12% of the total household consumption.

A further surprising finding is the particularly small role exports have been playing since 1960 as a driver of the business cycle. In South Africa it is still generally accepted that exports are one of the most important drivers of the business cycle. It is generally accepted that, should the business cycles of South Africa’s most important trade partners show an upward phase; these partners will purchase more from South Africa. This increase in exports will contribute to the South African economy moving upward. Prof. Burger’s analyses shows, however, that exports have generally never fulfil this role.

Over and above the identification of the drivers of the South African business cycle, Prof. Burger’s analysis also investigated the volatility of the business cycle.

When the periods 1976-1994 and 1994-2006 are compared, the analysis shows that the volatility of the business cycle has reduced since 1994 with more than half. The reduction in volatility can be traced to the reduction in the volatility of household consumption (especially durables and services), as well as a reduction in the volatility of investment in machinery, non-residential buildings and transport equipment. The last three coincide with the general reduction in the volatility of investment in the manufacturing sector. Investment in sectors such as electricity and transport (not to be confused with investment in transport equipment by various sectors) which are strongly dominated by the government, did not contribute to the decrease in volatility.

In his analysis, Prof. Burger supplies reasons for the reduction in volatility. One of the explanations is the reduction in the shocks affecting the economy – especially in the South African context. Another explanation is the application of an improved monetary policy by the South African Reserve Bank since the mid 1990’s. A third explanation is the better access to liquidity and credit since the mid 1990’s, which enables the better management of household finance and the absorption of financial shocks.

A further reason which contributed to the reduction in volatility in countries such as the United States of America’s business cycle is better inventory management. While the volatility of inventory in South Africa has also reduced there is, according to Prof. Burger, little proof that better inventory management contributed to the reduction in volatility of the GDP.

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