TY - JOUR
T1 - Predictors of enrollment in individual- and couple-based lifestyle intervention trials for cancer survivors
AU - Cox-Martin, Emily
AU - Song, Jaejoon
AU - Demark-Wahnefried, Wendy
AU - Lyons, Elizabeth J.
AU - Basen-Engquist, Karen
N1 - Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - Purpose: To utilize data from lifestyle intervention pilot studies for cancer survivors to elucidate demographic, disease-related, and health behavior factors that might predict enrollment in this type of research. Additionally, factors were differentially compared based on intervention design (i.e., individual versus couple-based). Methods: Secondary data analysis was conducted regarding predictors of enrollment into lifestyle intervention studies, including Healthy Moves Weight Loss (individual participants, screened n = 89, enrolled n = 30) and Healthy Moves Couples (survivors and their partners, screened n = 197, enrolled n = 23). Due to small sample sizes, common in pilot studies, random forest analyses were used to maximize information yielded by the data. Results: Results identified numerous important predictors of enrollment in individual and couple-based lifestyle interventions. Percent energy from fat and physical activity minutes were identified as important predictors for both recruitment methods. Age, cancer site, and marital status were important predictors of enrollment in the individual-based intervention. Weight, fiber consumption, and disease-related symptom severity and interference were important predictors of enrollment in the couple-based intervention. Conclusion: Although there was some overlap in predictors for enrollment between studies, many differential predictors were identified between individual versus couple-based study designs for lifestyle intervention in cancer survivors. Future lifestyle intervention studies for cancer survivors may benefit from targeting different predictors of enrollment based on study design to optimize recruitment. Additionally, understanding predictors may allow certain barriers to enrollment (i.e., symptom burden) to be directly addressed, making lifestyle intervention research more feasible and acceptable to difficult-to-recruit survivors.
AB - Purpose: To utilize data from lifestyle intervention pilot studies for cancer survivors to elucidate demographic, disease-related, and health behavior factors that might predict enrollment in this type of research. Additionally, factors were differentially compared based on intervention design (i.e., individual versus couple-based). Methods: Secondary data analysis was conducted regarding predictors of enrollment into lifestyle intervention studies, including Healthy Moves Weight Loss (individual participants, screened n = 89, enrolled n = 30) and Healthy Moves Couples (survivors and their partners, screened n = 197, enrolled n = 23). Due to small sample sizes, common in pilot studies, random forest analyses were used to maximize information yielded by the data. Results: Results identified numerous important predictors of enrollment in individual and couple-based lifestyle interventions. Percent energy from fat and physical activity minutes were identified as important predictors for both recruitment methods. Age, cancer site, and marital status were important predictors of enrollment in the individual-based intervention. Weight, fiber consumption, and disease-related symptom severity and interference were important predictors of enrollment in the couple-based intervention. Conclusion: Although there was some overlap in predictors for enrollment between studies, many differential predictors were identified between individual versus couple-based study designs for lifestyle intervention in cancer survivors. Future lifestyle intervention studies for cancer survivors may benefit from targeting different predictors of enrollment based on study design to optimize recruitment. Additionally, understanding predictors may allow certain barriers to enrollment (i.e., symptom burden) to be directly addressed, making lifestyle intervention research more feasible and acceptable to difficult-to-recruit survivors.
KW - Cancer survivors
KW - Enrollment
KW - Lifestyle intervention
KW - Random forest
UR - http://www.scopus.com/inward/record.url?scp=85041551695&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85041551695&partnerID=8YFLogxK
U2 - 10.1007/s00520-018-4084-6
DO - 10.1007/s00520-018-4084-6
M3 - Article
C2 - 29423679
AN - SCOPUS:85041551695
SN - 0941-4355
VL - 26
SP - 2387
EP - 2395
JO - Supportive Care in Cancer
JF - Supportive Care in Cancer
IS - 7
ER -