Jones Tamara, Edbrooke Lara, Rawstorn Jonathan C, Denehy Linda, Hayes Sandra, Maddison Ralph, Sverdlov Aaron L, Koczwara Bogda, Kiss Nicole, Short Camille E
Melbourne Centre for Behaviour Change, Melbourne School of Psychological Sciences, The University of Melbourne, Redmond Barry Building, Tin Alley, Melbourne, 3010, Australia, 61 409498820.
Department of Physiotherapy, Melbourne School of Health Sciences, The University of Melbourne, Melbourne, Australia.
JMIR Cancer. 2024 Dec 16;10:e51536. doi: 10.2196/51536.
Strong evidence supports the benefits of exercise following both cardiovascular disease and cancer diagnoses. However, less than one-third of Australians who are referred to exercise rehabilitation complete a program following a cardiac diagnosis. Technological advances make it increasingly possible to embed real-time supervision, tailored exercise prescription, behavior change, and social support into home-based programs.
This study aimed to explore demographic and health characteristics associated with the likelihood of breast cancer survivors uptaking a digitally delivered cardiac exercise rehabilitation program and to determine whether this differed according to intervention timing (ie, offered generally, before, during, or after treatment). Secondary aims were to explore the knowledge of cardiac-related treatment side-effects, exercise behavior, additional intervention interests (eg, diet, fatigue management), and service fee capabilities.
This cross-sectional study involved a convenience sample of breast cancer survivors recruited via social media. A self-reported questionnaire was used to collect outcomes of interests, including the likelihood of uptaking a digitally delivered cardiac exercise rehabilitation program, and demographic and health characteristics. Descriptive statistics were used to summarize sample characteristics and outcomes. Ordered logistic regression models were used to examine associations between demographic and health characteristics and likelihood of intervention uptake generally, before, during, and after treatment, with odds ratios (ORs) <0.67 or >1.5 defined as clinically meaningful and statistical significance a priori set at P≤.05.
A high proportion (194/208, 93%) of the sample (mean age 57, SD 11 years; median BMI=26, IQR 23-31 kg/m2) met recommended physical activity levels at the time of the survey. Living in an outer regional area (compared with living in a major city) was associated with higher odds of uptake in each model (OR 3.86-8.57, 95% CI 1.04-68.47; P=.01-.04). Receiving more cardiotoxic treatments was also associated with higher odds of general uptake (OR 1.42, 95% CI 1.02-1.96; P=.04). There was some evidence that a higher BMI, more comorbid conditions, and lower education (compared with university education) were associated with lower odds of intervention uptake, but findings differed according to intervention timing. Respondents identified the need for better education about the cardiotoxic effects of breast cancer treatment, and the desire for multifaceted rehabilitation interventions that are free or low cost (median Aus $10, IQR 10-15 per session; Aus $1=US $0.69 at time of study).
These findings can be used to better inform future research and the development of intervention techniques that are critical to improving the delivery of a digital service model that is effective, equitable, and accessible, specifically, by enhancing digital inclusion, addressing general exercise barriers experienced by chronic disease populations, incorporating multidisciplinary care, and developing affordable delivery models.
有力证据支持心血管疾病和癌症确诊后进行运动的益处。然而,在被转介至运动康复的澳大利亚人中,不到三分之一的人在心脏诊断后完成了一个项目。技术进步使得将实时监督、量身定制的运动处方、行为改变和社会支持纳入家庭项目变得越来越可行。
本研究旨在探讨与乳腺癌幸存者接受数字化心脏运动康复项目可能性相关的人口统计学和健康特征,并确定这是否因干预时机(即一般提供、治疗前、治疗期间或治疗后)而有所不同。次要目的是探讨对心脏相关治疗副作用的了解、运动行为、额外的干预兴趣(如饮食、疲劳管理)以及服务费用承受能力。
这项横断面研究涉及通过社交媒体招募的乳腺癌幸存者便利样本。使用一份自我报告问卷来收集感兴趣的结果,包括接受数字化心脏运动康复项目的可能性以及人口统计学和健康特征。描述性统计用于总结样本特征和结果。有序逻辑回归模型用于检验人口统计学和健康特征与一般、治疗前、治疗期间和治疗后干预接受可能性之间的关联,将比值比(OR)<0.67或>1.5定义为具有临床意义,且先验设定统计显著性为P≤0.05。
样本中的很大一部分(194/2,08,93%)(平均年龄57岁,标准差11岁;中位BMI = 26,四分位间距23 - 31 kg/m²)在调查时达到了推荐的身体活动水平。在每个模型中,居住在偏远地区(与居住在大城市相比)与接受干预较高的可能性相关(OR 3.86 - 8.57,95%置信区间1.04 - 68.47;P = 0.01 - 0.04)。接受更多心脏毒性治疗也与总体接受较高的可能性相关(OR 1.42,95%置信区间1.02 - 1.96;P = 0.04)。有一些证据表明,较高的BMI、更多的合并症和较低的教育程度(与大学教育相比)与干预接受较低的可能性相关,但结果因干预时机而异。受访者指出需要更好地了解乳腺癌治疗的心脏毒性作用,并且希望获得免费或低成本的多方面康复干预(每次治疗中位费用为10澳元,四分位间距10 - 15澳元;研究时1澳元 = 0.69美元)。
这些发现可用于更好地为未来研究和干预技术的开发提供信息,这些对于改善有效、公平且可及的数字服务模式的提供至关重要,具体而言,通过增强数字包容性、解决慢性病患者群体遇到的一般运动障碍、纳入多学科护理以及开发经济实惠的提供模式。