Obesity and cancer: student therapeutic radiographers' understanding of obesity and cancer and their role in weight management
JOURNAL OF RADIOTHERAPY IN PRACTICE(2022)
摘要
Aims: To explore student therapeutic radiographers' understanding of obesity and cancer and to identify if student therapeutic radiographers believe that radiographers should have a role within weight management. Materials and Methods: This study used a self-completed online questionnaire (google forms) to collect data from Radiotherapy and Oncology students, studying at one Higher Education Institution, to gain an understanding of their current knowledge of weight management. A retrospective margin of error calculation was carried out, showing a 9% margin of error with a 90% confidence level. Results: In total 57 responses were received, n = 50 BSc students and n = 7 pre-registration MSc students. Three key barriers to openly discussing weight loss management with service users emerged from the questionnaire data; these were a lack of time, lack of clear guidelines and lack of confidence. These barriers could potentially be addressed by improving education and training, making it easier for therapeutic radiographers to openly discuss weight management with service users. Findings: Awareness of guidelines was suboptimal, with 82% (n = 47) of respondents unaware of any guidelines. In addition to this, the majority of students identified a lack of confidence as a barrier to them providing weight management advice. Despite this, 54.4% of respondents agreed that radiographers should have a role in providing weight management advice, with 22.2% of respondents being unsure. Findings suggest that behaviour change is required amounts both students and staff members, so that healthcare professionals are more inclined to have healthy weight management discussions. Perhaps more specialist roles need to be developed, so that healthy weight management discussions can become a norm.
更多查看译文
关键词
obesity,weight management,cancer,therapeutic radiographers,guidelines,public health
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要