While post-treatment breast cancer survivors face up to twice the cancer risk of the general population, modifiable health behaviors may somewhat reduce this risk. We sought to better understand health behaviors that early stage breast cancer survivors engage in to reduce recurrence risk.
Data came from a cross-sectional multi-site survey of 186 early-stage breast cancer survivors who received genomic testing for breast cancer recurrence risk (Oncotype DX) during their clinical care. Study outcomes were meeting health behavior recommendations (daily fruit and vegetable intake, regular physical activity, and having a healthy body mass index (BMI)).
Approximately three-quarters of survivors we surveyed believed the 3 behaviors might reduce their cancer risk but many did not engage in these behaviors for this purpose: 62% for BMI, 36% for fruit and vegetable consumption, and 37% for physical activity. Survivors with higher recurrence risk, as indicated by their genomic test results, were no more likely to meet any of the three health behavior recommendations. Adherence to health behavior recommendations was higher for women who were white, college-educated, and had higher incomes.
Many nonadherent breast cancer survivors wish to use these behavioral strategies to reduce their risk for recurrence, suggesting an important opportunity for intervention. Improving BMI, which has the largest association with cancer risk, is an especially promising target.
Citation: O'Neill SC, DeFrank JT, Vegella P, Richman AR, Henry LR, Carey LA, et al. (2013) Engaging in Health Behaviors to Lower Risk for Breast Cancer Recurrence. PLoS ONE 8(1): e53607. doi:10.1371/journal.pone.0053607
Editor: Syed A. Aziz, Health Canada, Canada
Received: August 24, 2012; Accepted: November 30, 2012; Published: January 11, 2013
Copyright: © 2013 O'Neill et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: Financial support was provided by grants MSRG-06-259-01-CPPB (NTB), MSRG-10-110-01-CPPB (SCO), and 97-152-04 (Georgetown University) from the American Cancer Society. The project was also supported, in part, by Award Number P30CA051008 from the National Cancer Institute. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health. At the time of this research, Jessica T. DeFrank was funded by the UNC Cancer Care and Quality Training Program (NCI R25 Grant, CA116339). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The numbers of women in the US  and worldwide  surviving breast cancer has continued to grow with advances in screening and treatment . These survivors face elevated health risks, including cancer recurrence and second primary cancers , . The primary tools for reducing recurrence risk are medical interventions, including chemotherapy, radiation and endocrine treatment , .
Modifiable health behaviors may offer additional reductions in the risk of recurrence and comorbid conditions among cancer survivors, as well as counter the negative impacts of treatment –. Although level I evidence regarding efficacy of intervention is scant, considerable observational and some clinical trial data suggest an impact of health behavior modification in risk of relapse, including maintaining a healthy BMI , , regular physical activity , and a low fat diet , . Finally, though evidence for cancer risk reduction from eating fruits and vegetables suggests a very small benefit or none at all , , these behaviors may support overall health and maintenance of a healthy weight , . Guidelines from the American Cancer Society and other national organizations recommend that women with a history of breast cancer eat fruits and vegetables regularly, be physically active and maintain a healthy body weight , .
Despite this, some breast cancer survivors have poor adherence to these health behavior recommendations. Breast cancer survivors experience obesity at the same high rate as the general U.S. population . Further, in a recent U.S. study, only a little more than a third (37%) of breast cancer survivors were adherent to physical activity recommendations, while only 18% were adherent to recommendations to consume 5 servings of fresh fruits and vegetables daily . Adherence to recommendations is a global issue for survivors, as recent studies also suggest surprisingly low adherence to adjuvant endocrine therapy in breast cancer patients , . To better understand how to address low adherence, it is important to understand whether awareness of these behavioral recommendations is low, survivors are disinterested, or if there are other challenges.
Information on recurrence risk may increase women's motivation to follow health behavior recommendations. Women newly diagnosed with breast cancer receive increasingly sophisticated risk information. One example of this includes results of Oncotype DX, a test that predicts 10-year risk of recurrence among women with early stage breast cancer by examining the activity of a group of 21 genes within a woman's tumor , . Breast cancer recurrence risk as determined by this genomic test, as well as a woman's beliefs about risk of recurrence, may play an important role in motivating risk-reducing behaviors. Other potential correlates of adherence include cognitive , emotional , , and motivational constructs .
Our study sought to characterize early stage breast cancer survivors' awareness of the potential cancer risk reduction offered by three health behaviors (maintaining a healthy body weight, eating fresh fruits and vegetables regularly, and being physically active). A second goal was to understand whether this awareness was associated with adoption of the behaviors (i.e., adherence to behavioral recommendations). Based on previous research, we expected adherence to these behaviors would be low, but no published research we are aware of has documented whether awareness of the guidelines is a central problem. Last, we also sought to assess variables associated with engaging in these recommended health behaviors. We predicted greater adherence by women who had higher recurrence risk according to their Oncotype DX test results, who perceived higher recurrence risk and who had more breast cancer worry.
Materials and Methods
Participants and Recruitment
Participants were women who were previously treated for early-stage breast cancer at one of three study sites and whose records indicated they received Oncotype DX testing between the time the test was first available in June 2004 through March 2009. Oncotype DX testing, which analyzes breast tumor tissue removed during surgery, estimates the 10-year risk for distant breast cancer recurrence assuming the woman receives adjuvant hormone therapy. Women eligible for Oncotype DX had stages I or II, hormone-receptor positive breast cancer. All but one participant had node-negative disease; we included this woman because the test has proven clinically useful for node-positive breast cancers of the type that she had. Exclusion criteria included being male, not being English-speaking, or under age 18. Study sites included: University of North Carolina (UNC) Breast Center in Chapel Hill, North Carolina; National Naval Medical Center (NNMC) in Bethesda, Maryland; and Georgetown University (GU) in Washington, DC. Participation rates were 75% (78/104), 74% (59/80) and 63% (50/80) for these three sites respectively. We excluded a participant who had an outlier of 194 months since diagnosis, resulting in a combined sample of 186 participants.
Researchers mailed study questionnaires to eligible women between December 2008 and May 2010. The Institutional Review Boards of the University of North Carolina, National Naval Medical Center, and Georgetown University approved the study protocol and materials.
Adherence to Health Behavior Recommendations.
We calculated survivors' body mass indexes using their self-reported height and weight and categorized them as adherent (BMI 18.5–24.9) or non-adherent (25.0 and over or under 18.5). The survey measured adherence to recommendations to consume 5 servings of fruits and vegetables daily: “How many servings of fruits do you usually eat or drink each day? Think of a serving as being about 1 medium piece, or ½ cup of fruit, or ¾ cup of fruit juice,” and “How many servings of vegetables do you usually eat or drink each day? Think of a serving as being about 1 cup of raw leafy vegetables, ½ cup of other cooked or raw vegetables, or ¾ cup vegetable juice.” We categorized respondents who reported consuming 5 or more daily servings across the two measures as adherent. We adapted these items and the physical activity items from The Health Information National Trends Survey (HINTS) . The survey assessed how many days in a typical week survivors engaged in any physical activity of at least moderate intensity, giving the examples of brisk walking, bicycling at a regular pace, swimming at a regular pace, or heavy gardening as well as the duration (in minutes) of this physical activity. We calculated the total minutes spent engaging in at least moderate physical activity in a typical week. We categorized survivors as adherent (150 or more minutes/week) or non-adherent (fewer than150 minutes/week).
We measures cancer risk-reduction awareness by asking survivors to indicate how each of the following behaviors affect chances of getting cancer: 1) having a healthy body weight, 2) eating 5 or more fruits and vegetables each day, and 3) engaging in at least 30 minutes of moderate to vigorous physical activity on 5 or more days each week. Response options were “decreases chances,” “makes no difference,” “increases chances,” and “don't know.” We categorized women who indicated that these behaviors decreased chances as “aware” with the latter responses constituting the “unaware” group.
We assessed engagement in cancer risk-reduction behaviors (BMI, fruit and vegetable consumption, physical activity) by asking survivors for each of the three health behaviors, whether they engaged in any of those behaviors to specifically reduce their chances of getting cancer or a recurrence. Response options were “Yes,” “No,” and “No, but I want to.”
We assess stage of change as has been done in previous research on health behavior in other populations . We categorized as “Unaware” answers to the cancer risk-reduction awareness question of “makes no difference,” “don't know,” or “increases chances.” We classified responses of “decrease chances” as “Aware.” We further categorized women in this group as 1) “Aware, not engaging” if they were not engaging in the behavior, 2) “Aware, engaging, but not to reduce cancer risk,” if they were engaging in the behavior but answered “No” or “No, but I want to” to the cancer risk-reduction behavior question, or 3) “Aware, engaging to reduce cancer risk” if survivors were engaging and doing so specifically for cancer risk reduction.
Breast Cancer Recurrence Risk.
The survey assessed survivors' recollection of the likelihood of their cancer coming back based on results of their Oncotype DX test as “low” “intermediate” or “high” risk. We collapsed the intermediate and high risk groups for analyses due to small numbers who reported their risk was high. We previously have found these self-reports match clinical records with a high degree of accuracy , . We also asked survivors to report their perceived risk of recurrence on a 0–100% scale .
Breast Cancer Worry.
The survey assessed how often women worried during the past few weeks about their breast cancer recurring, measured on a 4-point response scale ranging from “not at all” to “all of the time” .
We generated descriptive statistics to characterize the sample and the proportions of survivors in each stage of behavior change for each of the three health behaviors. We conducted bivariate analyses to identify demographic, medical and psychosocial variables associated with meeting each of the three health behavior outcomes (yes/no) using logistic regression. We then conducted separate multivariate logistic regression analyses for meeting each BMI, diet, and physical activity outcome, including variables identified as statistically significant at p<.10 in bivariate analyses. We analyzed data with two-tailed statistical tests with a critical alpha of .05 in SAS.
On average, women were 57 years old (range 30–84) and were 23 months since diagnosis (range 4–68). Most were Caucasian (80%), college educated (61%), and had a household income of at least $60,000 (69%) (Table 1). Most (72%) reported a low Oncotype score, while fewer reported intermediate (24%) or high (4%) scores. Women's mean perceived recurrence risk was 16% and their overall breast cancer worry was low (M = 1.8).
Stage of Adoption
Most women were aware that the three health behaviors could influence cancer risk (Table 2). Lack of awareness was similar for having a healthy body weight (17%), fruit and vegetable consumption (23%), and physical activity (21%). However, awareness that health behaviors could influence cancer risk did not translate into high rates of engaging in the behaviors. About 62% of women reported that they did not have a healthy body weight despite their awareness that maintaining a healthy weight could reduce risk. About one-third of women reported that they did not engage in the recommended behaviors for physical activity (37%) or fruit and vegetable consumption (36%), despite their awareness that these behaviors potentially reduce risk. Smaller percentages were aware and engaging, but not specifically to reduce their cancer risk. A relatively small percentage of the sample was aware and specifically reported having a healthy body weight (12%) and engaging in fruit and vegetable consumption (21%) and physical activity (18%) to reduce their cancer risk.
Correlates of Adherence
Looking across awareness categories, reported adherence to the three behaviors was 49% for having a healthy body weight, 47% for regular fruit and vegetable consumption, and 51% for physical activity. Only 16% of the participants met recommendations for all three behaviors combined. Contrary to our hypothesis, rates of adherence to the three health behaviors were equivalent across women's self-reported Oncotype risk category (all Ps>0.42) (Table 3). About one-half of women met recommendations for the three health behaviors regardless of whether their Oncotype DX scores indicated low versus intermediate/high risk.
In bivariate analyses, women who received chemotherapy as part of their care were less adherent to BMI recommendations compared to women who did not receive chemotherapy but more adherent to recommendations related to fruit and vegetable consumption. White women were more likely to be adherent to BMI recommendations when compared to non-White women (Table 4). Women with a college degree or higher were more likely to be adherent than non-college-educated women across all three behaviors, while women who reported household incomes higher than $60,000 were more likely to be adherent to recommendations for BMI and fruit and vegetable consumption. Awareness of associations between each health behavior and lower cancer risk was only related to adherence for fruit and vegetable consumption. Adherence was unrelated to perceived risk or cancer worry.
In the multivariate model for BMI adherence, race (OR = 0.28, 95%CI = 0.11–0.75, p<.05), education (OR = 3.06, 95%CI = 0.14–6.73, p<.01), and chemotherapy (OR = 0.28, 95%CI = 0.13–0.62, p<.01) remained statistically significant. In the multivariate model for fruit and vegetable consumption, education (OR = 2.21, 95%CI = 1.01–4.79, p<.05), chemotherapy (OR = 2.50, 95%CI = 1.14–5.47, p<.05), and awareness (OR = 3.96, 95%CI = 1.59–9.87, p<.01) remained statistically significant. In the multivariate model for physical activity, adherence had no statistically significant correlates.
Most survivors were aware that fruit and vegetable consumption, engaging in physical activity and having a healthy body weight could potentially reduce their cancer risk. However, despite this awareness, over one-half of survivors said they were not maintaining a healthy body weight to reduce their cancer risk, and about one-third said they were not engaging in diet and exercise behaviors to reduce their cancer risk.
We additionally found disparities in adherence by race and level of education. Women with less education were less adherent to recommendations for BMI and fruit and vegetable consumption. Differences by race occurred only for BMI, with African American women being less likely to be adherent to BMI recommendations than White women. A substantial literature shows higher BMI among African American survivors than other survivors in the population –. However, the impact of obesity on recurrence and survival among African Americans is unclear. A recent study of almost 5,000 breast cancer survivors under 65 suggests that obesity is a risk factor for breast-cancer related and all-cause mortality for White but not African American breast cancer survivors . Nonetheless, obesity remains an important concern for all survivors, as it is a risk factor for other breast-cancer related complications, such as lymphedema, which can lower women's quality of life , . Differences also were observed for those who had received chemotherapy. Chemotherapy itself alters metabolism, and weight gain during adjuvant chemotherapy is common in breast cancer patients, so a nonvolitional component may play a role in this group. In sum, our findings suggest that intervention efforts among breast cancer survivors that encourage health behaviors should make use of survivors' existing enthusiasm for action rather than promoting awareness. Given that enthusiasm was highest for BMI reduction and evidence suggest the strongest link between this behavior and lower recurrence risk, interventions should prioritize this outcome. Recent intervention literature has focused on multiple pathways to health behavior change and weight management, including both increasing knowledge and awareness ,  as well as incorporating self-regulation skills  and skill building ,  that would support action. Given the identified disparities, these interventions should be inclusive of women with varying levels of education and should be culturally sensitive .
Contrary to our hypothesis, survivors' who reported intermediate or high recurrence risk, as provided by their genomic test results, were no more likely to meet recommendations for the three health behaviors than other women. Adherence was also unrelated to perceived risk of recurrence or cancer worry. Rates of adherence could have been higher for the higher risk women immediately following diagnosis, but we were unable to capture this with our retrospective design and these outcomes were unrelated to time since diagnosis. We speculate that, for women with intermediate to high risk for cancer recurrence, engaging in health behaviors to reduce their risk is not a priority. Rather, these women may be relying on medical risk-reducing strategies as advised by their doctors, such as receiving chemotherapy and endocrine therapy to reduce recurrence risk. Both treatments have substantially stronger evidence for reducing cancer recurrence risk than health behaviors. However, women may additionally benefit from health behavior change, as these are viewed by clinicians as healthy lifestyle changes that are encouraged for a variety of reasons. In keeping with public health approaches that emphasize at-risk populations, future intervention efforts could focus on survivors at higher risk for cancer recurrence based on their genomic test results or other common pathological markers (such as tumor size or stage) as they are no more likely to engage in these health behaviors. Survivors with high recurrence risk would additionally benefit from improved adherence to health behavior recommendations given the high rate of chemotherapy use in this population, as these health behaviors could ameliorate some sequelae of chemohormonal therapy .
Strengths of our study are its multi-site sample of breast cancer survivors for whom the findings are clinically relevant. Women in our study were among the first to receive the Oncotype DX test and thus positioned us to ask novel questions about the influence of genomic testing on health behaviors. Further, to our knowledge, this is the largest study to date to include self-report data from women who have received this testing. Despite these strengths, we were limited by our cross-sectional, self-report data and that women were, on average, almost two years from diagnosis. We also do not know the degree to which lifestyle counseling was part of the care received by the participants in this study. Finally, though findings for fruit and vegetable consumption's effect on recurrence risk are equivocal, eating these foods regularly substantially reduces cardiovascular risk , , a topic for future study.
Our findings corroborate previous research with cancer survivors suggesting that adherence to health behaviors for this population is less than optimal and that there are significant disparities in adherence. While cancer survivors are aware that health behaviors may play some role in reducing cancer recurrence, this awareness often does not translate to action. Interventions should focus on strategies to facilitate actions, such as providing survivors with the appropriate skills and resources to achieve a healthy lifestyle, with a special focus on BMI reduction .
We thank the physicians and nurses with the University of North Carolina Breast Center, National Naval Medical Center, and Georgetown University for their assistance during the study. We also would like to thank Carmina Valle for her help with survey development. Most importantly, we thank the women who participated in this study. One of the authors (LRH) participated in this study as part of official duties while serving as a US Government employee. As such, the opinions expressed herein are those of the authors and do not reflect the official policy or position of the US Government, Department of Defense, or the US Navy. Patti Vegella is now with the Henry Jackson Foundation.
Conceived and designed the experiments: SCO JDF AR LAC NTB. Performed the experiments: PV. Analyzed the data: PV. Contributed reagents/materials/analysis tools: LRH LAC. Wrote the paper: SCO JDF PV AR LRH LAC NTB.
- 1. American Cancer Society (2012) Cancer Facts & Figures 2012. Atlanta, GA: American Cancer Society. Available: http://www.cancer.org/acs/groups/content/epidemiologysurveilance/documents/document/acspc-031941.pdf. Accessed 2012 Dec 5.
- 2. Forouzanfar MH, Foreman KJ, Delossantos AM, Lozano R, Lopez AD, et al. (2011) Breast and cervical cancer in 187 countries between 1980 and 2010: a systematic analysis. Lancet 378: 1461–1484. doi: 10.1016/s0140-6736(11)61351-2
- 3. Desantis C, Siegel R, Bandi P, Jemal A (2011) Breast cancer statistics, 2011. CA Cancer J Clin 61: 409–418. doi: 10.3322/caac.20134
- 4. Brewster AM, Hortobagyi GN, Broglio KR, Kau SW, Santa-Maria CA, et al. (2008) Residual risk of breast cancer recurrence 5 years after adjuvant therapy. J Natl Cancer Inst 100: 1179–1183. doi: 10.1093/jnci/djn233
- 5. Gao X, Fisher SG, Emami B (2003) Risk of second primary cancer in the contralateral breast in women treated for early-stage breast cancer: a population-based study. Int J Radiat Oncol Biol Phys 56: 1038–1045. doi: 10.1016/s0360-3016(03)00203-7
- 6. Early Breast Cancer Trialists' Collaborative Group (EBCTCG) (2005) Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials. Lancet 365: 1687–1717. doi: 10.1016/s0140-6736(05)66544-0
- 7. National Comprehensive Cancer Network.NCCN clinical practice guidelines in oncology. Breast cancer. Version 1.2012. Available: http://www.nccn.org/professionals/physician_gls/pdf/breast.pdf Accessed 2012 Mar 7.
- 8. Davies NJ, Batehup L, Thomas R (2011) The role of diet and physical activity in breast, colorectal, and prostate cancer survivorship: a review of the literature. Br J Cancer 105 Suppl 1: S52–S73.
- 9. George SM, Irwin ML, Smith AW, Neuhouser ML, Reedy J, et al. (2011) Postdiagnosis diet quality, the combination of diet quality and recreational physical activity, and prognosis after early-stage breast cancer. Cancer Causes Control 22: 589–598. doi: 10.1007/s10552-011-9732-9
- 10. Irwin ML, Smith AW, McTiernan A, Ballard-Barbash R, Cronin K, et al. (2008) Influence of pre- and postdiagnosis physical activity on mortality in breast cancer survivors: the Health, Eating, Activity, and Lifestyle Study. J Clin Oncol 26: 3958–3964. doi: 10.1200/jco.2007.15.9822
- 11. Patterson RE, Cadmus LA, Emond JA, Pierce JP (2010) Physical activity, diet, adiposity and female breast cancer prognosis: a review of the epidemiologic literature. Maturitas 66: 5–15. doi: 10.1016/j.maturitas.2010.01.004
- 12. Pekmezi DW, Demark-Wahnefried W (2011) Updated evidence in support of diet and exercise interventions in cancer survivors. Acta Oncol 50: 167–178. doi: 10.3109/0284186x.2010.529822
- 13. Winzer BM, Whiteman DC, Reeves MM, Paratz JD (2011) Physical activity and cancer prevention: a systematic review of clinical trials. Cancer Causes Control 22: 811–826. doi: 10.1007/s10552-011-9761-4
- 14. Ewertz M, Jensen MB, Gunnarsdottir KA, Hojris I, Jakobsen EH, et al. (2011) Effect of obesity on prognosis after early-stage breast cancer. J Clin Oncol 29: 25–31. doi: 10.1200/jco.2010.29.7614
- 15. Morimoto LM, White E, Chen Z, Chlebowski RT, Hays J, et al. (2002) Obesity, body size, and risk of postmenopausal breast cancer: the Women's Health Initiative (United States). Cancer Causes Control 13: 741–751.
- 16. Ballard-Barbash R, Friedenreich CM, Courneya KS, Siddiqi SM, McTiernan A, et al. (2012) Physical activity, biomarkers, and disease outcomes in cancer survivors: a systematic review. J Natl Cancer Inst 104: 815–840. doi: 10.1093/jnci/djs207
- 17. Blackburn GL, Wang KA (2007) Dietary fat reduction and breast cancer outcome: results from the Women's Intervention Nutrition Study (WINS). Am J Clin Nutr 86: s878–s881.
- 18. Chlebowski RT, Rose D, Buzzard IM, Blackburn GL, Insull W Jr, et al. (1992) Adjuvant dietary fat intake reduction in postmenopausal breast cancer patient management. The Women's Intervention Nutrition Study (WINS). Breast Cancer Res Treat 20: 73–84. doi: 10.1007/bf01834637
- 19. Key TJ (2011) Fruit and vegetables and cancer risk. Br J Cancer 104: 6–11.
- 20. Pierce JP, Natarajan L, Caan BJ, Parker BA, Greenberg ER, et al. (2007) Influence of a diet very high in vegetables, fruit, and fiber and low in fat on prognosis following treatment for breast cancer: the Women's Healthy Eating and Living (WHEL) randomized trial. JAMA 298: 289–298. doi: 10.1001/jama.298.3.289
- 21. Chuang SC, Norat T, Murphy N, Olsen A, Tjonneland A, et al. (2012) Fiber intake and total and cause-specific mortality in the European Prospective Investigation into Cancer and Nutrition cohort. Am J Clin Nutr 96: 164–174. doi: 10.3945/ajcn.111.028415
- 22. Hansen-Krone IJ, Enga KF, Njolstad I, Hansen JB, Braekkan SK (2012) Heart healthy diet and risk of myocardial infarction and venous thromboembolism. The Tromso Study. Thromb Haemost 108: 554–560. doi: 10.1160/th11-11-0818
- 23. Kushi LH, Doyle C, McCullough M, Rock CL, Demark-Wahnefried W, et al. (2012) American Cancer Society Guidelines on Nutrition and Physical Activity for cancer prevention: Reducing the risk of cancer with healthy food choices and physical activity. CA Cancer J Clin 62: 30–67. doi: 10.3322/caac.20140
- 24. Schmitz KH, Courneya KS, Matthews C, Demark-Wahnefried W, Galvao DA, et al. (2010) American College of Sports Medicine roundtable on exercise guidelines for cancer survivors. Med Sci Sports Exerc 42: 1409–1426. doi: 10.1249/mss.0b013e3181e0c112
- 25. Fairley TL, Hawk H, Pierre S (2010) Health behaviors and quality of life of cancer survivors in Massachusetts, 2006: data use for comprehensive cancer control. Prev Chronic Dis 7: A09.
- 26. Blanchard CM, Courneya KS, Stein K (2008) American Cancer Society (2008) Cancer survivors' adherence to lifestyle behavior recommendations and associations with health-related quality of life: results from the American Cancer Society's SCS-II. J Clin Oncol 26: 2198–2204. doi: 10.1200/jco.2007.14.6217
- 27. Partridge AH, Wang PS, Winer EP, Avorn J (2003) Nonadherence to adjuvant tamoxifen therapy in women with primary breast cancer. J Clin Oncol 21: 602–606. doi: 10.1200/jco.2003.07.071
- 28. Partridge AH, LaFountain A, Mayer E, Taylor BS, Winer E, et al. (2008) Adherence to initial adjuvant anastrozole therapy among women with early-stage breast cancer. J Clin Oncol 26: 556–562. doi: 10.1200/jco.2007.11.5451
- 29. Paik S, Shak S, Tang G, Kim C, Baker J, et al. (2004) A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 351: 2817–2826. doi: 10.1056/nejmoa041588
- 30. Sparano JA, Paik S (2008) Development of the 21-gene assay and its application in clinical practice and clinical trials. J Clin Oncol 26: 721–728. doi: 10.1200/jco.2007.15.1068
- 31. Dillard AJ, Ferrer RA, Ubel PA, Fagerlin A (2012) Risk perception measures' associations with behavior intentions, affect, and cognition following colon cancer screening messages. Health Psychol 31: 106–113. doi: 10.1037/a0024787
- 32. McQueen A, Swank PR, Bastian LA, Vernon SW (2008) Predictors of perceived susceptibility of breast cancer and changes over time: a mixed modeling approach. Health Psychol 27: 68–77. doi: 10.1037/0278-6220.127.116.11
- 33. Mosher CE, Lipkus IM, Sloane R, Kraus WE, Snyder DC, et al. (2008) Cancer survivors' health worries and associations with lifestyle practices. J Health Psychol 13: 1105–1112. doi: 10.1177/1359105308095964
- 34. Latka RN, Alvarez-Reeves M, Cadmus L, Irwin ML (2009) Adherence to a randomized controlled trial of aerobic exercise in breast cancer survivors: the Yale exercise and survivorship study. J Cancer Surviv 3: 148–157. doi: 10.1007/s11764-009-0088-z
- 35. Nelson DE, Kreps GL, Hesse BW, Croyle RT, Willis G, et al. (2004) The Health Information National Trends Survey (HINTS): development, design, and dissemination. J Health Commun 9: 443–460. doi: 10.1080/10810730490504233
- 36. Costanza ME, Luckmann R, Stoddard AM, Avrunin JS, White MJ, et al. (2005) Applying a stage model of behavior change to colon cancer screening. Prev Med 41: 707–719. doi: 10.1016/j.ypmed.2004.12.013
- 37. Sulayman N, Spellman E, Graves KD, Peshkin BN, Isaacs C, et al. (2012) Psychosocial and quality of life in women receiving the 21-gene recurrence score assay: the impact of decision style in women with intermediate RS. J Cancer Epidemiol 2012: 728290. doi: 10.1155/2012/728290
- 38. Tzeng JP, Mayer D, Richman AR, Lipkus I, Han PK, et al. (2010) Women's experiences with genomic testing for breast cancer recurrence risk. Cancer 116: 1992–2000. doi: 10.1002/cncr.24990
- 39. Gurmankin Levy A, Shea J, Williams SV, Quistberg A, Armstrong K (2006) Measuring perceptions of breast cancer risk. Cancer Epidemiol Biomarkers Prev 15: 1893–1898. doi: 10.1158/1055-9965.epi-05-0482
- 40. Lerman C, Trock B, Rimer BK, Jepson C, Brody D, et al. (1991) Psychological side effects of breast cancer screening. Health Psychol 10: 259–267. doi: 10.1037/0278-618.104.22.1689
- 41. Greenlee H, Crew K, Mata J, McKinley PS, Rundle A, et al. (2012) A pilot randomized controlled trial of a commercialdiet and exercise weight loss program in minority breast cancer survivors. Obesity (Silver Spring) doi:10.1038/oby.2012.177.
- 42. Paxton RJ, Phillips KL, Jones LA, Chang S, Taylor WC, et al. (2012) Associations among physical activity, body mass index, and health-related quality of life by race/ethnicity in a diverse sample of breast cancer survivors. Cancer 118: 4024–4031. doi: 10.1002/cncr.27389
- 43. Schootman M, Deshpande AD, Pruitt SL, Aft R, Jeffe DB (2010) National estimates of racial disparities in health status and behavioral risk factors among long-term cancer survivors and non-cancer controls. Cancer Causes Control 21: 1387–1395. doi: 10.1007/s10552-010-9566-x
- 44. Lu Y, Ma H, Malone KE, Norman SA, Sullivan-Halley J, et al. (2011) Obesity and survival among black women and white women 35 to 64 years of age at diagnosis with invasive breast cancer. J Clin Oncol 29: 3358–3365. doi: 10.1200/jco.2010.34.2048
- 45. Meeske KA, Sullivan-Halley J, Smith AW, McTiernan A, Baumgartner KB, et al. (2009) Risk factors for arm lymphedema following breast cancer diagnosis in Black women and White women. Breast Cancer Res Treat 113: 383–391. doi: 10.1007/s10549-008-9940-5
- 46. Bloom JR, Stewart SL, D'Onofrio CN, Luce J, Banks PJ (2008) Addressing the needs of young breast cancer survivors at the 5 year milestone: can a short-term, low intensity intervention produce change? J Cancer Surviv 2: 190–204. doi: 10.1007/s11764-008-0058-x
- 47. Christy SM, Mosher CE, Sloane R, Snyder DC, Lobach DF, et al. (2011) Long-term dietary outcomes of the FRESH START intervention for breast and prostate cancer survivors. J Am Diet Assoc 111: 1844–1851. doi: 10.1016/j.jada.2011.09.013
- 48. Befort CA, Klemp JR, Austin HL, Perri MG, Schmitz KH, et al. (2012) Outcomes of a weight loss intervention among rural breast cancer survivors. Breast Cancer Res Treat 132: 631–639. doi: 10.1007/s10549-011-1922-3
- 49. Newman VA, Thomson CA, Rock CL, Flatt SW, Kealey S, et al. (2005) Achieving substantial changes in eating behavior among women previously treated for breast cancer–an overview of the intervention. J Am Diet Assoc 105: 382–391. doi: 10.1016/j.jada.2004.12.008
- 50. Stolley MR, Sharp LK, Arroyo C, Ruffin C, Restrepo J, et al. (2009) Design and recruitment of the Chicago Healthy Living Study: a study of health behaviors in a diverse cohort of adult childhood cancer survivors. Cancer 115: 4385–4396. doi: 10.1002/cncr.24585
- 51. Darga LL, Magnan M, Mood D, Hryniuk WM, DiLaura NM, et al. (2007) Quality of life as a predictor of weight loss in obese, early-stage breast cancer survivors. Oncol Nurs Forum 34: 86–92. doi: 10.1188/07.onf.86-92
- 52. Green LW, Kreuter MW (1999) Health promotion planning: An educational and ecological approach. Mountain View, CA: Mayfield Publishing Co.