Abstract P2-13-03: Lifestyle changes after breast cancer: A prospective study among 8580 women

Abstract

Background: Persistence of unhealthy behaviors may adversely affect breast cancer (BC) outcomes and quality of life. Cancer diagnosis can represent a teachable moment and a powerful catalyst to correct such behaviors. It has been suggested that some cancer patients (pts) may be motivated towards a healthier lifestyle, particularly in case of a worse cancer-related prognosis. In this study we aimed at understanding the evolution and barriers in adoption of health behaviors after BC. Methods: We analyzed 8580 pts enrolled from 2012-2015 in a nationwide, multicenter study of stage I-III BC (CANTO, NCT01993498). Pts were longitudinally assessed at diagnosis (baseline), year(y)1 and y2 post-diagnosis. Recreational physical activity (PA) was reported using the GPAQ-16. An unhealthy smoking behavior was defined as active smoker status and an unhealthy alcohol behavior as consumption of ≥1 drink/day at y1 and y2. First, we described the longitudinal evolution of health behaviors. Then, we examined factors associated with health behaviors, to define pts that fail to adopt healthy lifestyle changes. Random effect mixed models evaluated changes in PA over time. Logistic regression models estimated odds of unhealthy smoke and alcohol behavior at y1 and y2. All models were adjusted for tumor, including BC stage, clinico-behavioral and treatment characteristics. Results: Mean age at diagnosis was 55 y (SD 11), 9% pts had stage III BC, 49% were overweight/obese (body mass index [BMI] ≥25 Kg/m2), 41% did not meet PA recommendations (<10 MET-h/week), 18% were active smokers, 14% reported ≥1 drink/day. Some small increases in PA were reported in the overall cohort (mean change from baseline [95%CI], MET-h/week: to y1 +0.8 [-0.2 to +1.9]; to y2 +1.2 [+0.1 to +2.3]). Particularly, there were significant increases in PA among pts that did not use to meet PA recommendations at baseline, regardless of BC stage (mean change from baseline [95%CI], MET-h/week: to y1 +8.7, to y2 +9.7 among stage I/II pts; to y1 +12.9, to y2 +10.4 among stage III pts [all p<0.0001]). However, pts who had stage I/II BC and who were overweight/obese failed to improve their PA uptake over time (p>0.05 at both time points). Among pts who were active smokers at baseline, 37% at y1 and 30% at y2 reported reduced tobacco, and among those who used to have ≥1 drink/day at baseline, 11% at y1 and 8% at y2 reported reduced alcohol consumption. 11% pts at y1 and 12% pts at y2 had unhealthy smoke behavior whereas 13% pts at y1 and 14% pts at y2 had unhealthy alcohol behavior (Cochran-Armitage trend test: p=0.034 for smoke and p=0.193 for alcohol). Older age (adjusted odds ratio [aOR] for a 5-year increase in age, 0.69 [95%CI 0.66-0.73]) and being in a relationship (aOR vs not, 0.66 [95% CI 0.54-0.82]) were associated with reduced odds of unhealthy smoke behavior, although older pts (aOR for a 5-year increase in age, 1.34 [95%CI 1.22-1.40]) and those in a relationship (aOR vs not, 1.35 [95% CI 1.10-1.68]) were also more prone to unhealthy alcohol behavior. Lower BMI was consistently associated with higher odds of unhealthy smoke and alcohol behavior (aOR for each decreasing BMI unit: for smoke behavior, 1.05 [95%CI 1.03-1.07]; for alcohol behavior, 1.02 [95% CI 1.01-1.04]). BC stage was not associated with smoke and alcohol behavior. Conclusions: This large clinical study suggests that a substantial proportion of pts pursue a healthy lifestyle after BC. However, there are still survivors that fail to adopt positive and durable lifestyle changes. Uptake of increased levels of PA was not homogenous in this cohort, and we found an upward trend in unhealthy smoke behavior and steady rates of unhealthy alcohol behavior over time. We defined diverse behavioral profiles of pts, according, among others, to age, social status, BMI and BC characteristics. These data will help better inform targeted lifestyle interventions to improve health behaviors after BC. Citation Format: Antonio Di Meglio, Arnauld S Gbenou, Elise Martin, Laurence Vanlemmens, Charles Guenancia, Olivier Rigal, Marion Fournier, Patrick Soulie, Marie-Ange Mouret-Reynier, Carole Tarpin, Florence Boiffard, Sophie Guillermet, Sibille Everhard, Anne-Laure Martin, Sylvie Giacchetti, Thierry Petit, Florence Dalenc, Philippe Rouanet, Antoine Arnaud, Fabrice Andre, Ines Vaz-Luis. Lifestyle changes after breast cancer: A prospective study among 8580 women [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P2-13-03.

Determinants of use of oral complementary-alternative medicine among women with early breast cancer: a focus on cancer-related fatigue

“…Some authors also suggested that receiving a diagnosis of more advanced BC, needing more intense chemotherapy treatment, may lead patients to adopt behaviors that they believe can improve their clinical condition and prognosis. For example, in CANTO we previously observed that receiving chemotherapy was associated with higher odds of smoke cessation and adjuvant endocrine therapy persistence, supporting the notion that risk perception related to BC prognosis may somehow drive certain behaviors after diagnosis [51,52]. Furthermore, some authors expressed concerns that there may be decreased initiation of clinically indicated chemotherapy among patients using OCAM, as refusal is correlated to an increased risk of death [53,54].…”