| Literature DB >> 32240181 |
Alice Avancini1, Kristina Skroce2, Daniela Tregnago3, Paolo Frada2, Ilaria Trestini3, Maria Cecilia Cercato4, Clelia Bonaiuto3, Cantor Tarperi2,5, Federico Schena2, Michele Milella3, Sara Pilotto3, Massimo Lanza2.
Abstract
Nowadays, it is widely acknowledged that low physical activity levels are associated with an increase in terms of both disease recurrence and mortality in cancer survivors. In this light, deciphering those factors able to hamper or facilitate an active lifestyle is crucial in order to increase patients' adherence to physical activity. The purpose of this study was to explore barriers and motivations in a sample of female oncological patients, practising running using the ecological model and compare them with healthy controls. Focus group interviews were conducted at Verona University. Participants were 12 female cancer survivors and 7 matched healthy controls who had participated at "Run for Science" project. The interviews were transcribed verbatim and analyzed using content analysis. Transcripts were categorized according to the ecological model, identifying barriers and motivations as themes. About motivations, three sub-themes were included: personal, interpersonal and environmental/organizational factors. Regarding barriers, another sub-theme was recognized: community/policy factors. Compared to healthy controls, survivors expressed motivations and barriers specifically related to their oncological disease. Running was a challenge with their cancer and a hope to give to other patients. Main barriers were represented by treatment-related side effects, inexperienced trainers and external factors, e.g. delivery of incorrect information. Running programs dedicated to oncological patients should consider intrinsic obstacles, related to cancer and its treatment. The interventions should offer a personalized program performed by qualified trainers, together with a motivational approach able to improve participants' adherence to an active lifestyle.Entities:
Mesh:
Year: 2020 PMID: 32240181 PMCID: PMC7117710 DOI: 10.1371/journal.pone.0227846
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Semi-structured interview questions.
| • From the personal point of view (thinking of physical and psychological state and previous experience) is there any factor that in your opinion may motivate the adherence to running program? |
| • From the social point of view (thinking of relationships with other people, friends, colleagues, family) is there any factor that in your opinion may motivate the adherence to running program? |
| • From the environmental point of view (thinking of place, organizations and institutions) is there any factor that in your opinion may motivate the adherence to running program? |
| • From the cultural point of view (thinking of politics and national/regional rules) is there any factor that in your opinion may motivate the adherence to running program? |
| • From the personal point of view (thinking of physical and psychological state and previous experience) is there any factor that in your opinion may limit the adherence to running program? |
| • From the social point of view (thinking of relationships with other people, friends, colleagues, family) is there any factor that in your opinion may limit the adherence to running program? |
| • From the environmental point of view (thinking of place, organizations and institutions) is there any factor that in your opinion may limit the adherence to running program? |
| • From the cultural point of view (thinking of politics and national/regional rules) is there any factor that in your opinion may limit the adherence to running program? |
Participant’ characteristics.
| Age | 50.5 (5.9) | 47.5 (8.0) |
| Body mass index | 21.9 (2.8) | 22.1 (0.8) |
| Education, N | ||
| Secondary | 1 | 0 |
| High school degree | 7 | 4 |
| Undergraduate degree | 3 | 2 |
| Postgraduate degree | 1 | 1 |
| Marital status, N | ||
| Unmarried | 4 | 3 |
| Married | 7 | 4 |
| Divorced | 1 | 0 |
| Employment, N | ||
| Part time employed | 8 | 3 |
| Full time employed | 4 | 4 |
| Family income | ||
| Many difficulties | 1 | 0 |
| Some difficulties | 4 | 1 |
| Easily | 4 | 5 |
| Very easily | 3 | 1 |
| METs—Physical activity, mean (SD) | 3069.9 (1536.5) | 2441.3 (1119.1) |
| Tumor site, N | ||
| Colorectal | 2 | - |
| Hematologic | 1 | - |
| Breast | 9 | - |
| Stage, N | ||
| Unknown | 5 | - |
| Early | 4 | - |
| Advanced | 3 | - |
| Metastatic | 0 | - |
| Months from diagnosis, mean (SD) | 57.6 (34.5) | - |
| Undergone surgery, N | 11 | - |
| Undergone chemotherapy, N | 9 | - |
| Undergone radiation therapy, N | 8 | - |
| Undergone hormone therapy, N | 8 | - |
| Undergone others treatment, N | 0 | - |
| Current treatment status, N | ||
| Incoming | 0 | - |
| Ongoing | 0 | - |
| Ended | 12 | - |
SD, standard deviation, N, number; Mets, metabolic equivalent of the task expressed in minutes per week
a Expressed in years
b Expressed in units of kg/m2
c Perceived economic insecurity assessed by the question: How do you get to the end of the month, with your available financial income?
Motivation and barriers related to running EX identified by cancer survivors compared to healthy controls.
| Ecological model (level) | Motivations | Barriers | ||
|---|---|---|---|---|
| Cancer survivors | Healthy controls | Cancer survivors | Healthy controls | |
| Personal factors | • Prior EX experiences | • Prior EX experiences | • Lack of time (in progress) | • Lack of time |
| • Enjoyment | • Enjoyment | • Injury | • EX failure | |
| • Physical and mental benefits | • Physical and mental benefits | • Cancer-related treatment side effects | ||
| • Cancer-related challenge | • Positive EX results | |||
| • Hope for other patients | • Ex easy budget | |||
| Interpersonal factors | • EX group support | • EX group support | • Trainer not qualified | • Lack of social support |
| • Family support | • Family support | |||
| • Friends support | ||||
| • Physician support | ||||
| Environmental and organizational factors | • Natural environment | • Natural environment | • Poor personal security | • Poor personal security |
| • Organized training | • Untended environment | • Untended environment | ||
| • Air pollution | ||||
| Community and policy factors | • Traditionalist culture | • Running is underestimated compared to | ||
| • EX only for athletes and body image | • other sports | |||
| • Incorrect information delivery | ||||
Fig 1Strategies to increase adherence and compliance in a running program.