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Celebrating Success: Project Empower optimises UFS student-athletes through the GROW programme

27 November 2023 | Story Cindé Greyling | Photo SUPPLIED

In the latter part of 2023, KovsieSport (KS) Soccer, in collaboration with Student Counselling and Development (SCD) at the University of the Free State (UFS), introduced a transformative self-development initiative for student-athletes. The GROW programme, an acronym for growth, resilience, optimism, and wellness, is a meticulously structured, resilience-based project firmly rooted in Positive Psychology (PP). PP methodologies aim to foster human strengths, psychological capabilities, and overall flourishing.

Cultivating an optimised mind for an optimised body

Dr Munita Dunn-Coetzee, Director of SCD, emphasises the critical link between physical and mental well-being for student-athletes. Pushing their bodies to excel significantly influences their mental health,” she notes. “Creating awareness and a supportive culture within sports teams is important.” The GROW programme, initially piloted by students four years ago on the Bloemfontein and Qwaqwa campuses, demonstrated statistically significant improvements in students’ subjective well-being, resilience, hope, and noteworthy reductions in experiences of depression and stress. Encouraged by these positive outcomes, the programme was subsequently integrated into KovsieSport.

Balancing the equation: The other side of sport

Tobias van den Bergh, Senior Psychologist: SCD, underscores the multifaceted nature of well-being. While physical exercise is a potent natural medicine supporting mental health, he highlights the importance of addressing emotional, spiritual, cognitive, social, and physical aspects of well-being. Van den Bergh cautions against the potential harm associated with exercise when linked to high-pressure performance goals or unhealthy objectives, advocating instead for a holistic approach to well-being.

Bridging the gap: Impact of the GROW programme

The GROW programme successfully bridges the gap between sports and mental health, fostering increased trust among student-athletes. Godfrey Tenoff, Senior Official at KS Football, observes enhanced cohesion among participants, affirming that the programme positively influenced their preparedness for life’s challenges. Makhaola Mohale, one of the attendees, encapsulates the sentiment, stating, “The biggest takeaway was to always have a heart and mind of gratitude.”

Celebrating victories: Stop at the top

On 27 October 2023, the GROW Certificate and Celebration Ceremony acknowledged student-athletes who completed the project, the event served as a reminder that, beyond the pursuit of victories in sports, investing in mental health is a significant triumph. In the words of the author, “Congratulations to all our student-athletes who completed the GROW-programme.”

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News Archive

Mathematical methods used to detect and classify breast cancer masses

2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers.

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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