Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2006 Aug 17.
Published in final edited form as: J Clin Oncol. 2005 Jul 25;23(24):5814–5830. doi: 10.1200/JCO.2005.01.230

Riding the Crest of the Teachable Moment: Promoting Long-Term Health After the Diagnosis of Cancer

Wendy Demark-Wahnefried 1,, Noreen M Aziz 1, Julia H Rowland 1, Bernardine M Pinto 1
PMCID: PMC1550285  NIHMSID: NIHMS11219  PMID: 16043830

Abstract

Purpose

Cancer survivors are at increased risk for several comorbid conditions, and many seek lifestyle change to reduce dysfunction and improve long-term health. To better understand the impact of cancer on adult survivors' health and health behaviors, a review was conducted to determine (1) prevalent physical health conditions, (2) persistent lifestyle changes, and (3) outcomes of previous lifestyle interventions aimed at improving health within this population.

Methods

Relevant studies from 1966 and beyond were identified through MEDLINE and PubMed searches.

Results

Cancer survivors are at increased risk for progressive disease but also for second primaries, osteoporosis, obesity, cardiovascular disease, diabetes, and functional decline. To improve overall health, survivors frequently initiate diet, exercise, and other lifestyle changes after diagnosis. However, those who are male, older, and less educated are less likely to adopt these changes. There also is selective uptake of messages, as evidenced by findings that only 25% to 42% of survivors consume adequate amounts of fruits and vegetables, and approximately 70% of breast and prostate cancer survivors are overweight or obese. Several behavioral interventions show promise for improving survivors' health-related outcomes. Oncologists can play a pivotal role in health promotion, yet only 20% provide such guidance.

Conclusion

With 64% of cancer patients surviving > 5 years beyond diagnosis, oncologists are challenged to expand their focus from acute care to managing the long-term health consequences of cancer. Although more research is needed, opportunities exist for oncologists to promote lifestyle changes that may improve the length and quality of life of their patients.

INTRODUCTION

Cancer survival has risen steadily over the past three decades for all cancers combined. Prevalence proportions estimated from cancer incidence and follow-up data from the Surveillance, Epidemiology, and End Results registry indicate that there currently are 9.8 million cancer survivors in the United States alone, representing between 3% and 4% of the entire US population.1-4 As advances in cancer detection, treatment, and care diffuse into clinical practice, the number of survivors is expected to increase. The aging of the population and a longer life expectancy in general will contribute further to this trend.

The proportion of long-term cancer survivors also continues to grow. Today, in the absence of other competing causes of death, an estimated 64% of those diagnosed with cancer can expect to be alive in 5 years, whereas in 1971 long-term survival was estimated at < 50%.4 As the number of survivors and their length of survival expand, long-term health issues specific to cancer survival are fast emerging as a public health concern. The purpose of this review is to (1) describe common medical sequelae occurring among adult cancer survivors, (2) summarize lifestyle changes that are pursued by this population after diagnosis, and (3) examine lifestyle interventions that may hold promise in reducing adverse treatment-related effects and comorbidity. Relevant observation and intervention studies were identified through MEDLINE and PubMed searches using the specific search term “cancer survivor,” as well as cross-referenced medical subject heading terms “neoplasms,” “survivors,” “diet,” “exercise,” “physical activity,” “smoking,” “intervention,” and “lifestyle.” Although all articles from 1966 and beyond were considered, for the sake of brevity the search was limited to articles in the English language that describe physical health outcomes and not inclusive of alternative or complementary medicine. Additionally, we incorporated summaries of recent reviews when they were available. Data suggest that although the cancer survivor is at risk for a host of conditions that range from cardiac compromise to secondary cancers, the oncologist may be optimally positioned to capitalize on the “teachable moment” created by the cancer diagnosis and play a pivotal role in guiding survivors toward behaviors that improve overall health and physical well-being.5-8

HEALTH ISSUES OF CANCER SURVIVORS

Cancer survivors are high healthcare utilizers who have several distinct healthcare issues.9 Data clearly show that cancer survivors are at greater risk for developing secondary cancers and other diseases; these risks may be brought on by cancer treatment, genetic predisposition, and/or common lifestyle factors.2,10-13 Although the threat of progressive or recurrent disease is at the forefront of health concerns for a cancer survivor, a comparison by Brown et al10 of > 1.2 million patient records obtained from the Surveillance, Epidemiology, and End Results database with those obtained from the National Center for Health Statistics shows that “the evidence that cancer patients die of noncancer causes at a higher rate than persons in the general population is overwhelming.” Increased morbidity and decreased functional status and disability that result from cancer, its treatment, or health-related sequelae also are significant concerns.

PROGRESSIVE/RECURRENT DISEASE AND SECOND PRIMARIES

Second cancers account for a large number of new cancers.1,2,11,13 A second primary may result from host susceptibility (genetic predisposition or immunodeficiency), a clustering of risk factors, common carcinogenic influences, treatment for the first tumor (eg, breast cancer after treatment for Hodgkin's disease), diagnostic surveillance, a chance event, or the interaction of these factors.1,2,13 Second cancers may occur in the same organ site (eg, breast or colorectal) and also at other sites, with leukemia and solid tumors of the breast, bone, thyroid, and bladder being reported most frequently. Thus, survivors can benefit from guidelines established for the primary prevention of these secondary cancers, as well as continued surveillance.1,14,15

METABOLIC SYNDROME–ASSOCIATED DISEASES: OBESITY, DIABETES, AND CARDIOVASCULAR DISEASE

Obesity is a well-established risk factor for cancers of the breast (postmenopausal), colon, kidney (renal cell), esophagus (adenocarcinoma), and endometrium; thus, a large proportion of cancer patients are overweight or obese at the time of diagnosis.16,17 Additional weight gain also can occur during or after active cancer treatment, an occurrence that has been documented frequently among individuals with breast cancer but recently was reported among testicular and gastrointestinal cancer patients, as well.15,18,19 Given data that obesity is associated with cancer recurrence in both breast and prostate cancer and reduced quality of life (QOL) among survivors, there is compelling evidence to support weight-control efforts in this population.14,15,18-20 Also, gradual weight loss has proven benefits in controlling hypertension, hyperinsulinemia, pain, dyslipidemia, and improving levels of physical functioning—conditions that reportedly are significant problems in the survivor population.14,15,21 Accordingly, the American Cancer Society Recommendations for Cancer Survivors list the “achievement of a healthy weight” as a primary goal.14

Obesity represents one of several metabolic disorders that are frequently manifest among cancer survivors—disorders that are grouped under the umbrella of “the metabolic syndrome” and include diabetes and cardiovascular disease (CVD).14,19,21 Insulin resistance is the underlying event associated with the metabolic syndrome, and insulin resistance, co-occurring hyperinsulinemia, and/or diabetes have been reported as health concerns among cancer survivors.10,22-24 As Brown et al10 observed, diabetes may play a significant role in the increased number of non–cancer-related deaths among survivors; however, its role in progressive cancer is still speculative.16

Although there is one study that suggests that older breast cancer patients derive a cardioprotective benefit from their diagnosis and/or associated treatments (most likely tamoxifen),25 most reports indicate that CVD is a major health issue among survivors, as evidenced by mortality data that show that half of non–cancer-related deaths are attributed to CVD.10 Risk is especially high among men with prostate cancer who receive hormone-ablation therapy, patients who receive adriamycin, and patients who receive radiation treatment to fields surrounding the heart.10,11,22,26 Although more research is needed to explore the potential benefits of lifestyle interventions specifically within survivor populations, the promotion of a healthy weight through a low-saturated-fat diet with ample amounts of fruits and vegetables and moderate levels of physical activity is recommended.14,15

OSTEOPOROSIS

Osteoporosis and osteopenia are prevalent conditions in the general population, especially among women. Despite epidemiologic findings that increased bone density and low fracture risk are associated with increased risk for breast cancer,27-35 clinical studies suggest that osteoporosis is still a prevalent health problem among survivors.36-39 Data of Twiss et al37 indicate that 80% of older breast cancer patients have t scores less than −1 and thus have clinically confirmed osteopenia at the time of their initial appointment. Other cancer populations, such as premenopausal breast and prostate cancer patients, may possess good skeletal integrity at the onset of their disease but are at risk of developing osteopenia, which may ensue with treatment-induced ovarian failure or androgen ablation.38,39

DECREASED FUNCTIONAL STATUS

Previous studies indicate that functional status is lowest immediately after treatment and tends to improve over time; however, the presence of pain and co-occurring diseases may affect this relationship.40 In the older cancer survivor, regardless of duration after diagnosis, the presence of comorbidity rather than the history of cancer per se correlates with impaired functional status.41 Cancer survivors have an almost two-fold increase in having at least one functional limitation; however, in the presence of another comorbid condition, the odds ratio increases to 5.06 (95% CI, 4.47 to 5.72).42 These findings have been confirmed by other studies in diverse populations of cancer survivors.43-46 A cost analysis by Chirikos et al45 indicates that “the economic consequence of functional impairment exacts an enormous toll each year on cancer survivors, their families and the American economy at large.”

ESTABLISHING A HEALTHFUL LIFESTYLE: THE POTENTIAL BENEFIT FOR CANCER SURVIVORS

There are a variety of behavioral interventions that may mitigate elevated risk for the host of conditions for which the cancer survivor is especially vulnerable.1,2,47 However, because research on cancer survivorship is only just now receiving the attention it deserves, few studies have quantified longer-term physiologic outcomes of lifestyle change specifically within this population.48,49 According to the 2003 American Cancer Society Guide for Informed Choices, Nutrition and Physical Activity During and After Cancer Treatment, although no consensus exists to support “convincing evidence of benefit” as it relates to either disease-free or overall survival, current data do provide support for “probable” and “possible” benefit for several health behaviors, such as striving for a healthy weight, eating more fruits and vegetables and less saturated fat, and increasing physical activity.14 Although the focus of this article is on physical health, it is worth mentioning that some health behaviors, such as exercise are consistently associated with positive effects on psychological or emotional well-being (eg, mood states, self-esteem, and QOL) and reductions in fatigue.50-53 A recent study by Blanchard et al54 of 326 survivors of breast, prostate, and colorectal cancer suggests that survivors who exercise regularly, as well as those who practice more than one healthful behavior (ie, routine exercise, consumption of 5+ servings of fruits and vegetables per day, and tobacco abstinence), have significantly higher levels of health-related QOL than those who do not adhere to behavioral guidelines. Similarly, McBride et al55 found that psychological distress was lower among 988 breast and prostate cancer survivors who practiced healthful behaviors compared to those who did not.

LIFESTYLE PRACTICES AMONG SURVIVORS

A substantial number of reports suggest that cancer survivors spontaneously adopt lifestyle changes in hopes of achieving improved health. To date, published findings exist on > 20 studies that have explored persistent lifestyle practices among cancer survivors that extend beyond the year after diagnosis (Table 1).54,56-80 Although the preponderance of data suggest that the practice of healthful behaviors is notably higher among survivors, caution exists; given that such findings may be subject to bias (ie, survivors who do respond may be more likely to practice healthful behaviors).54 Findings of a recent prospective study by Satia et al81 on a population-based sample (N = 737), however, suggest that changes in lifestyle do accompany the cancer diagnosis; they observed significant increases in vegetable intake (P = .002) and physical activity (P < .001) among 278 colorectal cancer survivors from prediagnosis to 2-year follow-up, as compared with no change in age-, race-, and sex-matched controls.

Table 1.

Post-Treatment Health-Behavior Practices Reported at Least 1 Year Beyond Diagnosis Among Adult Cancer Survivors

Study Sample (size and key characteristics) Key Findings
Gritz et al65 317 patients with resected stage I non–small-cell lung cancer who were current smokers at the time of diagnosis (up to 4 years postdiagnosis) 16.8% continued to smoke
53% quit smoking permanently (throughout period of observation)
30.2% quit smoking for some time period
At 2 years, permanent cessation stabilized at > 40%; however, the prevalence of continuing smoking decreased through all periods of follow-up; quitters were more likely to be female and healthier than continuous smokers
Ostroff et al71 74 patients with head and neck cancers who reported smoking within 1 year prior to diagnosis 65% quit smoking; of those that relapsed, 45% made two to five quit attempts, and 23% made more than five quit attempts
Dresler et al60 362 lung cancer patients scheduled for a thoracotomy and followed an average of 17.5 months The longer the patient is nonsmoking preoperatively, the more likely they are to remain nonsmoking postoperatively; 81% quit prior to surgery, 86% of whom remain nonsmokers postsurgery
Vander Ark et al80 87 patients with squamous cell carcinoma of the head and neck 69% quit smoking, and 66% abstained from alcohol; smoking cessation was more likely among those who were older, who smoked < 35 cigarettes per day, and who abstained from alcohol; pharmacologic aids alone were found to be of no value
Gritz et al66 83 subjects from a previous smoking-cessation trial who completed 12 months of follow-up 75% continuous abstainers
25% quit successfully for at least 48 hours and then relapsed
Relapse was significantly related to treatment (radiation therapy v surgery), younger age of initiation, greater addiction (smoking ≤ 30 min after waking), and the use of gradual reduction v “cold turkey” to quit
Demark-Wahnefried et al59 978 survivors of locoregional breast or prostate cancer (1-6 years postdiagnosis) 58% routinely exercise
42% consumed five or more daily servings of fruits and vegetables
69% consumed a low-fat diet
8% smoked
80% were interested in health-promotion programs (54% interested in diet, 51% interested in exercise, and 60% of smokers interested in smoking cessation); preference for home-based formats (mailed materials followed by telephone counseling)
Ostroff et al72 84 patients who were smokers at diagnosis and were receiving follow-up care for bladder cancer 55% had quit at the time of assessment
Patients diagnosed at later stages were 2.80 times more likely to be continuous abstainers than those diagnosed sooner (95% CI, 1.08 to 7.25)
Allison56 191 head and neck cancer patients 78.5% quit smoking
59.2% abstained from alcohol
Higher education, living with one's partner, later stage, laryngeal site, and having surgery or combined therapy were associated with higher quit rates; female sex, later stage, and less time elapsed since treatment were associated with alcohol abstinence
Hounshell et al68 31 survivors of hairy cell leukemia 61.3% reported exercising more
51.6% reported a healthier diet
Maskarinec et al69 143 survivors of various cancers in Hawaiian Cancer Registry diagnosed from 1995 to 1996 48% reportedly changed their diet postdiagnosis, with a majority indicating increased intakes of fruits and vegetables and decreased meat intake
Duffy et al61 81 head and neck cancer patients 65% quit smoking
54% abstained from alcohol
Of those who continued to smoke or drink, 32% were interested in smoking-cessation services, and 9% were interested in alcohol abstinence
Ganz et al64 817 survivors of stage I or II breast cancer 48.4% reported a low-fat diet
20.4% reported a low-calorie diet
18.6% reported a low-salt diet
Gross et al67 27 postmenopausal breast cancer survivors 10% of women reported no “hard” activity
52% reported no “very hard” activity
Maunsell et al70 250 French Canadian women with nonmetastatic breast cancer (12 months postdiagnosis) 41% reported dietary changes at some time since diagnosis, with decreases in meat (77%) and increases in fruit and vegetable intake (72%) most common; women reporting changes were more likely to be younger, have positive nodes, be receiving adjuvant therapy, and be more distressed initially
Pinto et al74 86 breast cancer survivors 54% were overweight or obese
45% reported dietary fat intake of < 30%
72% exercised
39% reported both exercise and a low-fat diet
Overweight and obese women had lower self-efficacy scores and were less likely to exercise or eat a low-fat diet than nonoverweight peers
Pinto et al75 69 stage 0-II breast cancer patients followed over the course of 1 year 13% exercised vigorously at time of diagnosis
29% exercised vigorously 12 months postdiagnosis
Salminen et al76 139 Finnish breast cancer patients 30% reported making dietary changes (more fruits and vegetables, less meat)
4% quit smoking
8% abstained from alcohol
27% reported increased physical activity (10% decreased physical activity)
Tangney et al78 117 Australian survivors of breast cancer (0.5-5 years postdiagnosis) Survivors had lower energy intakes and higher Healthy Eating Indexes compared to normative data on a healthy population (Continuing Survey of Food Intakes by Individuals [CSFII])
Blanchard et al57 335 survivors of breast cancer compared to 6,880 noncancer controls No differences between groups in levels of moderate and strong activity, although groups differed with regard to specific activity
Blanchard et al58 352 survivors of various cancers 47% reported an improved diet
46% of smokers quit
30% reported exercising less
Earle et al62 5,965 elderly breast cancer survivors v age-, race-, and geographically matched controls Survivors had higher rates of cervical and colorectal cancer screening
Evangelista et al63 142 survivors of non–small-cell lung cancer (≥ 5 years postdiagnosis) 81% quit smoking
16.3% abstained from alcohol
51% were overweight
Patterson et al73 114 prostate, 126 breast, and 116 colorectal cancer survivors (total 357) 66.3% reported making lifestyle changes
40.4% reported making at least one dietary change
20.8% reported more physical activity
Fewer changes were reported by males and individuals aged ≥ 65
Steward et al77 24 successfully treated patients with stage I or II oral cavity carcinoma 25% consumed five or more servings of fruits and vegetables/day
Low intakes of vitamins C and E; borderline intake of vitamin A
96% quit smoking
47% abstained from alcohol
Thorsen et al79 1,276 Norwegian testicular cancer survivors and 20,391 age-matched controls Survivors had higher levels of physical activity (adjusted odds ratio, 1.32; 95% CI, 1.10 to 1.58)
Blanchard et al54 117 prostate, 123 breast, and 86 colorectal cancer survivors (total 326) 70% exercise 30 minutes per day, 5 days per week
26% consumed five or more daily servings of fruits and vegetables
6% smoked
Satia et al81 278 colon cancer survivors and 459 age-, sex-, and race-matched controls followed from prediagnosis to approximately 2 years postdiagnosis Vegetable intake increased from 2.0 to 2.3 servings per day from pre- to postdiagnosis (P = .002); mean levels of physical activity increased from 179 to 228 Metabolic Equivalent Task h/wk (P = .0001)
Wayne et al83 260 breast cancer survivors followed from approximately 5 months postdiagnosis to approximately 2 years postdiagnosis Survivors report approximately 0.5 servings per day increase in fruit and vegetable consumption and a reduction in fat intake postdiagnosis; fat intakes increased from 34.5% to 35.5% (P = .01) over follow-up; fruit and vegetable increases were maintained but remained below recommended levels (ie, 4.2 servings per day)

TOBACCO AND ALCOHOL USE AMONG SURVIVORS

At the time of diagnosis, the incidence of smoking among cancer patients varies tremendously, with rates approaching 100% among those with tobacco-related cancers of the lung or esophagus2,60,65,66,71 and rates of < 10% among men and women diagnosed with non–tobacco-related cancers such as carcinoma of the prostate or breast.54,59 Quit rates vary accordingly and range from 46% to 96% among smokers with lung, head, or neck cancers, as compared with only 4% noted among smokers with breast cancer.59,60,61,65,66,72 Data from the National Health Interview Survey suggest that approximately 20% of cancer survivors continue to smoke. Although smoking prevalence among survivors is lower than that for those without a cancer history (24%), it is not appreciably lower. Also worrisome is the observation that the highest rates are among the youngest group of survivors (ages 18-44), > 40% of whom report current smoking.2 Alcohol abstinence ranges from 47% to 59% in those with head and neck cancers (in which the association between drinking and cancer is strong) to between 8% and 16% in breast and lung cancer survivors (in which the strength of association is either weaker and/or newly established).61,63,70 Current studies on alcohol and tobacco use among survivors are limited by their relatively short-term follow-up, especially given the history of recidivism for these addictive behaviors. To date, only Gritz et al65 have reported data on longer-term follow-up (up to 4 years postdiagnosis), showing durable quit rates of approximately 40% among smokers diagnosed with lung cancer.

DIETARY INTAKES OF CANCER SURVIVORS

Dietary modification is another prevalent behavior change noted after diagnosis. Consumption of a “healthier diet” is reported by 30% to 60% of survivors, with a majority indicating reduced intakes of meat and increased consumption of fruits and vegetables, although not all of these studies used standardized, validated instruments or subscales to ascertain dietary data. 58,59,64,68,69,70,73,74,76-78 A cross-sectional study by Tangney et al78 of 117 breast cancer survivors using a validated food-frequency questionnaire indicated mean Healthy Eating Index scores of 67.2 ± 13.2 within this population when compared with contemporaneous normative data existing on healthy women from the Continuing Survey of Food Intakes by Individuals (63.4 ± 13.3).82 The higher diet-quality scores described in this study were primarily a function of reported lower energy intakes (approximately 200 calories less per day) with concurrently higher fruit and lower meat consumption. Other studies suggest that 45% to 69% of survivors consume diets with < 30% of energy from fat and that 25% to 42% consume at least five servings of fruits and vegetables per day.54,59,74,77

Recent findings of a longitudinal study of 260 breast cancer survivors tracked over the course of 2 years suggests that although initial dietary changes such as reduced fat and increased fruit and vegetable intakes may occur postdiagnosis, significant recidivism in fat intake occurs over time and fruit and vegetable intake, although increased, still remains suboptimal in a majority of survivors (75.8%).83 Furthermore, a large proportion of successfully treated cancer survivors are overweight or obese, 11,14,15,18,20,22,48,74 with body weight increasing consistently and significantly over time,83 thus arguing for interventions aimed at energy restriction and/or increased physical activity.

PHYSICAL ACTIVITY AMONG CANCER SURVIVORS

Data regarding physical activity and cancer survivors are mixed, with some studies suggesting higher levels of physical activity,54,59,68,74,79 some suggesting no differences,57,67,75 and some suggesting less.58 Data from a study by Salminen et al76 indicate that 27% of survivors report more physical activity after diagnosis, whereas 10% report less after diagnosis. Interpretation of data is complicated further by recent shifts in guidelines. For example, a 2000 study by Demark-Wahnefried et al59 suggests that a majority of breast and prostate cancer survivors “routinely exercise.” However, this study was conducted at a time when the physical-activity guidelines were 20 minutes per day, 3 times per week, not the 30 minutes (American College of Sports Medicine) or the 60 minutes (Institute of Medicine) on most days per week currently recommended.84,85 Thus, it is doubtful whether a majority of survivors would be classified as “active” using these new criteria, although a recent study of breast, colon, and prostate cancer survivors by Blanchard et al54 suggests that 70% of survivors report exercising 30 minutes per day at least 5 days per week. As in the general population, cancer survivors frequently overestimate their level of physical activity; thus, these data are suspect.86,87 Regardless, it should be recognized that the impact of the media and the establishment of a role model may bring positive, sweeping change, as evidenced by the recent findings of Thorsen et al.79 In this study of testicular cancer survivors, an increased odds ratio of 1.32 (95% CI, 1.10 to 1.58) for physical activity was found, a result attributed to Lance Armstrong (testicular cancer survivor and seven-time winner of the Tour de France), because cycling accounted for much of the increased activity.

FACTORS INFLUENCING LIFESTYLE CHANGE AMONG CANCER SURVIVORS

Although a substantial proportion of cancer survivors spontaneously initiate positive behavioral changes, many do not. Males and those who are less educated, over the age of 65, or who live in urban areas are less likely to either undertake healthful changes in behavior54,59,64,73 or maintain them.55,65,88 Data originating from the area of mammography screening clearly show that physicians are among the most powerful catalysts for promoting behavior change89,90 and therefore may be optimally positioned to deliver guidance regarding health promotion. Indeed in a recent randomized controlled trial (N = 450) conducted by Jones et al,91 breast cancer patients randomly assigned to an arm receiving an oncologist's recommendation to exercise reported a mean increase of 3.4 Metabolic Equivalents per week, compared with those not receiving a similar message (P = .011). Current reports, however, suggest that only approximately 20% of oncology care physicians provide assistance in this area—an unmet need that may be driven by competing treatment or health concerns, time constraints, or an unsurety regarding the delivery of appropriate health-behavior messages and their potential impact on health outcomes.54,59,92,93 Abbreviated reviews in areas of smoking cessation, diet, and exercise follow in an effort to inform oncologists of lifestyle interventions that have been conducted to date and their associated outcomes.

LIFESTYLE INTERVENTIONS AMONG SURVIVORS

MacVicar and Winningham94 were the first to report results of a lifestyle intervention aimed at improving health among cancer survivors. Their study, which measured changes in functional capacity with an exercise program, was typical of many of the earlier behavioral studies that targeted cancer survivors (ie, studies on small samples, using quasi-experimental designs and using an amalgam of outcomes, including some that solely measured treatment-related issues such as nausea). During the ensuing years, the field has evolved, sample sizes of studies have increased, the rigor of experimental design has improved, and the breadth of studies has expanded. Although most of these behavioral interventions are focused on improving QOL and other psychosocial end points and are not included in this review, several are aimed specifically at improving physical health or functional outcomes. To date, published reports describe 20 exercise interventions,87,94-112 11 diet-related interventions (not including those limited to dietary supplements or single nutrients),113-123 two diet and exercise interventions,124,125 six behavioral-based smoking-cessation interventions,126-131 and one sun-protection intervention.132 Brief summaries of studies that used a randomized design are listed in Table 2.

Table 2.

Randomized Intervention Trials Among Cancer Survivors Aimed at Improving Physical Function or Physical Health Outcomes Long Term

Study Subjects End Points Intervention Findings Comment
Smoking-cessation interventions
 Gritz et al128 186 individuals diagnosed with head and neck cancer 1, 6, and 12 months postintervention self-reported end points with cotinine confirmation: ever quit, point prevalence, and continuous abstinence Control (N = 92): usual care, standardized advice to quit; intervention (N = 94): surgeon-delivered smoking-cessation counseling session postsurgery plus booster sessions at initial six monthly medical visits post-treatment No significant differences between arms; 74% of intervention and 77% of controls reported continuous abstinence at 12-month follow-up Attrition rate was 39%; inclusion of recent ex-smokers and delivery of minimal intervention among controls may have attenuated treatment effect
 Stanislaw and Wewers131 26 hospitalized surgical oncology patient smokers Abstinence from smoking, as determined by saliva cotinine measured at first discharge visit Control (N = 14): usual care; intervention (N = 12): structured smoking-cessation intervention during hospitalization followed by five weekly phone calls after discharge At first postdischarge visit, 75% of experimental-group subjects were abstinent compared with 42.9% in the usual-care group
 Griebel et al127 28 hospitalized surgical oncology patient smokers Self-reported smoking status at 6 weeks postdischarge with saliva cotinine validation Control (N = 14): usual care; intervention (N = 14): one session, nurse-delivered minimal intervention At 6 weeks, abstinence was noted in 21% of the intervention and 14% of the control arms Among those who relapsed, smoking was resumed within 1 week of discharge
 Schnoll et al130 435 individuals with stage I-II cancer (of any type) or stage III-IV breast, prostate, or testicular cancer or lymphoma Smoking abstinence: 7-day point prevalence, 30-day prolonged abstinence, and 6 months prolonged abstinence Control (N = 218): usual care; intervention (N = 217): physician-delivered, brief (< 5-minute) intervention regarding benefits of quitting, establishing quit date, discussion of nicotine-replacement therapy, provision of self-help materials and support services (1-800-4-CANCER telephone number and/or referral to a cessation program) No significant difference in quit rates between the usual-care and intervention arms at 6 months (11.9% v 14.4%) and 12 months (13.6% v 13.3%), respectively Higher quit rates in head, neck, or lung cancer patients who used self-help materials, attended group sessions, had a greater desire to quit, initiated smoking after age 16, and smoked < 15 cigarettes per day
Dietary interventions
 Nordevang et al120 240 women with stage I-II breast cancer within 4 months of diagnosis Baseline and 1-and 2-years follow-up: dietary intake Control (N = 119): usual care; intervention (N = 121): individualized dietary counseling on a low-fat, plant-based diet by a trained dietitian; behavioral theory not reported Significant changes in intervention arm v controls were: fat: −13% v −3%; vegetables: +66 v +35 g/MJ; fruit: +86 v +56 g/MJ; bread: +31 v 0 g/MJ; cereal: +11 v +4 g/MJ Differential drop-out; at 2 years, completion rates were 2% in the intervention arm v 89% in the control arm
 Chlebowski et al114 290 postmenopausal women with stage I-IIIA breast cancer Baseline, 3 months, 6 months, and every 6 months up to 2 years: dietary assessments; serum lipids; and height, weight, and waist circumference Individualized dietary instruction by trained dietitians (behavioral theory not reported); control (N = 147): balanced diet; intervention (N = 143): low-fat diet (< 20% total energy) At 18 months, fat intake reduced significantly to 20.3 ± 2.4% in intervention arm v 31.5 ± 2.6% in control arm; significant weight loss of 1.46 ± 5.01 kg in intervention arm v weight gain of 1.8 ± 6.34 kg among controls 50% attrition in both groups
 DeWaard et al115 102 obese postmenopausal women with breast cancer (Netherlands and Poland) Weight Control (N = 43): usual care; intervention (N = 59): individualized dietary instruction by trained dietitians on energy-restricted (1,000-1,500 kcal/d) diet At 1 year, median weight loss was 6 kg in intervention arm; weight loss was maintained in half the sample followed for another 2 years Disbelief that obesity is a problem for cancer patients was a barrier to recruitment
 Loprinzi et al119 107 premenopausal women starting adjuvant chemotherapy for breast cancer Weight, waist and hip circumference, and energy intake Control (N = 53): physician and nurse informed subject of potential for weight gain and general ways to prevent it; intervention (N = 54): individual sessions with dietitian every 4-6 weeks on energy-restricted diet (behavioral theory not reported) At 6 months, no significant differences between the two arms in outcome measures (mean weight gain was 3.5 kg in the control arm v 2 kg in the intervention arm) Weight gain was significantly associated with higher body mass indexes at baseline (P = .01) and prior energy restriction (P = .02) within 6 months of participation
 Kristal et al118 144 postmenopausal women with stage I-II breast cancer, < 18 months postdiagnosis, ≥ 110% of ideal weight Baseline, and 3, 6, and 12 months: dietary intake and weight Control: usual care; intervention: trained volunteer staff (40% were dietitians) administered individualized sessions and structured group sessions on a low-fat diet using the Transtheoretical Model At 1 year, intervention arm significantly decreased their weight (3.5 ± 0.7 kg) and fat intake, compared with controls Did not control for the effect of exercise on weight; at 1 year, attrition was 23% in the intervention arm and 25% in the control arm
 Pierce et al121 93 pre- and postmenopausal women with stage I-IIIA breast cancer within 4 years of diagnosis and not ontamoxifen Baseline and 6- and 12-month follow-up: dietary intake, serum lipids and carotenoids, and anthropometric data Individualized dietary counseling delivered via telephone and using Social Cognitive Theory framework: control (N = 46): balanced diet; intervention (N = 47): daily dietary goals of five vegetable servings, 16 oz of vegetable juice, three fruit servings, 15-20% energy from fat, and 30 g of dietary fiber Significant differences in change in intake between intervention v controls: vegetables: +6.7 v +3 g/10 MJ; fruit: +4.0 v +2.5 g/10 MJ; fiber: 21 v 14 g/10 MJ; β–carotene: +1.28 v +0.99 g/10 MJ; α-carotene: +59 v +0.22 g/10 MJ; lycopene: +0.71 v +0.65 g/10 MJ Attrition rate: 14% in intervention arm and 15% among controls
 Hebert et al117 172 women diagnosed with stage I or II breast cancer within past 2 years Baseline and 4-month and 1-year follow-up: energy intake, fat intake, complex carbohydrate intake, fiber intake, and body mass index Control (N = 56): usual care; stress reduction (N = 51): yoga and mindfulness; Nutrition Education Program (NEP) (N = 50): individualized and group Social Cognitive Theory-based; intervention: all programs were 15 weeks in duration Subjects in the NEP had significant decreases in their fat intake (P < .0002) and BMI (P = .003), changes that were evident at 4 months and largely maintained over the course of 1 year 8% attrition
 Djuric et al116 48 women with stage I-II breast cancer diagnosed within the past 4 years and free from recurrence Baseline and 12-month measures: weight and health status Control (N = 16): received the National Cancer Institute's “Action Guide to Healthy Eating” and the “Food Guide Pyramid” pamphlets, Weight Watchers (WW); intervention (N = 16): encouraged to attend WW meetings; individualized counseling intervention (N = 16): one-on-one counseling (Social Cognitive Theory), weekly contacts for first 3 months, biweekly for second 3 months, and monthly thereafter Weight change at 12 months: control v WW, +0.85 ± 6.0 v −2.6 ± 5.9 kg, respectively; individualized counseling v combination, −8.0 ± 5.5 v −9.4 ± 8.6 kg, respectively (significant difference from control) Weight loss correlated with attendance; 19% attrition in intervention arms
 Pierce et al122 2,970 pre- and postmenopausal women with stage I-IIIA breast cancer within 4 years of diagnosis and not on tamoxifen Baseline and 12-month follow-up: dietary intake and plasma carotenoids Individualized dietary counseling delivered via telephone and using Social Cognitive Theory framework: control: balanced diet; intervention: daily dietary goals of five vegetable servings, 16 oz of vegetable juice, three fruit servings, 15-20% energy from fat, and 30 g of dietary fiber Intervention arm experienced significant pre- and postintervention increases in vegetable, fruit, and fiber intakes (none in controls), changes that were validated by serum lutein, lycopene, and α- and β-carotene levels on a study subset (N = 307); % energy from fat also decreased significantly in the intervention arm
Exercise interventions
 MacVicar et al106 45 women with stage II breast cancer on chemotherapy Pre- and postintervention: peak oxygen consumption and bike stress test Standard control (N = 16): usual care; attention control (N = 11): thrice-weekly, 10-week program of stretching and flexibility exercises; intervention (N = 18): thrice-weekly, 10-week program of interval training cycle ergometry at 60-85% of MHR Significant 40% increase in maximum oxygen uptake and performance on stress test in the intervention arm v both control arms Stratified on functional capacity
 Winningham et al112 24 women with stage II breast cancer on chemotherapy Pre- and postintervention: bike stress test, weight, and skinfolds Thrice-weekly, 10- to 12- week supervised program; control (N = 12): stretching and flexibility; intervention (N = 12): interval training cycle ergometry at 60-85% MHR Intervention arm had significant decreases in subcutaneous fat and % body fat v controls Stratification on functional capacity
 Berglund et al96 199 individuals with cancer (majority were diagnosed with breast cancer) post-treatment Baseline and 3-, 6-, and 12-month follow-up: physical and social activities and physical strength and activities Control (N = 101): usual care; intervention (N = 98): oncology nurse-facilitated 7-week (1- to 2-h) program that provided general information, physical skills, coping skills, and relaxation training At 12 months, the intervention arm had significant improvements in physical status, strength, and sleep than controls; both arms had decreases in fatigue and health problems and increases in employment Self-reported physical strength and no adherence data; multicomponent program
 Dimeo et al101 70 individuals with various solid tumors post high-dose chemotherapy and bone marrow transplant Prehospitalization and at discharge: treadmill stress test, hemoglobin concentration, and serum chemistry Control (N = 37): usual care; supervised (N = 33): daily interval training with bed ergometer at ≤50% MHR Intervention arm exercised on 82% of hospitalized days and had significantly greater maximum performance on the stress test after discharge than control arm Dose of exercise was difficult to quantify because days to hospital discharge varied
 Segal et al110 123 women with stage I-II breast cancer within 2 weeks of initiating adjuvant chemotherapy Physical function, aerobic capacity, and weight Control (N = 41): usual care; self-directed intervention (N = 40): individualized guidance via one in-person visit with exercise specialist and bimonthly telephone calls regarding warm-up, cool-down, and progressive-walking (5 d/wk) program at 50-60% VO2 maximum (concepts of Social Cognitive Theory [ie, self-monitoring and problem solving] were used); supervised intervention (N = 42): thrice-weekly exercise program with supervised warm-ups, cool-downs, and self-paced walking and structured exercise (expected to exercise at home twice weekly) At 26 weeks, there were significant (P = .04) differences between groups regarding physical function: control: −4.1 patients; self-directed: +5.7 patients; supervised: +2.2 19.6% drop-out rate
 Burnham and Wilcox97 18 breast or colorectal cancer survivors Aerobic capacity, lower body flexibility, and body fat Control (N = 7): usual care; low-intensity intervention (N = 7): exercise (25-35% MHR); moderate-intensity intervention (N = 7): exercise (40-50% MHR) After 10 weeks, no difference between exercise arms but a significant difference between exercise and control arms in aerobic capacity (P < .001), lower body flexibility (P = .027), and body fat (P < .001) 14% attrition
 McKenzie and Kalda107 14 breast cancer survivors with unilateral upper extremity lymphedema Arm volume, arm circumference, and Short Form-36 Control (N = 7): usual care; intervention (N = 7): 8-week upper body resistance training and aerobic arm ergometer training No differences in arm measures between groups but the intervention group had higher physical function (P = .05), general health (P = .048), and vitality (P = .023)
 Pinto et al88 24 sedentary women with stage 0-II breast cancer Blood pressure, heart rate, and weight Control (N = 12): wait list; moderate aerobic exercise (N = 12): 12-week, thrice-weekly, 60-70% MHR clinicbased mixed regimen with encouragement to exercise at home at least once per week Pre-post decreases in the intervention arm: systolic blood pressure: −13.5 (P < .05); diastolic blood pressure: −8.9 (P < .05); heart rate: −1.56 (NS); weight: −2.8 kg (NS) 25% attrition and 88% adherence in intervention arm
 Segal et al111 155 men with prostate cancer scheduled for androgen deprivation Weight, waist circumference, skinfolds, fatigue, and upper and lower body fitness Control (N = 73) usual care; intervention (N = 82): thrice-weekly resistance training Intervention group had improved upper (P = .009) and lower (P < .001) body fitness and less fatigue (P = .002) No difference in body composition, weight, and anthropometric measures
 Courneya et al98 108 individuals with a variety of cancers, most of whom were diagnosed within 1 year Sit-and-reach test, skinfolds, and fatigue Attention control (N = 48): 11 group psychotherapy sessions over 10 weeks; intervention (N = 60): psychotherapy + exercise: 11 group psychotherapy sessions and encouragement to exercise on own three to five times per week at moderate intensity (Theory of Planned Behavior) Exercise arm demonstrated significantly better functional well-being, decreased skinfold measures, and less fatigue at follow-up 11% attrition and 84% adherence; 22% of control arm regularly exercised
 Courneya et al99 53 postmenopausal women with breast cancer who completed treatment Peak oxygen consumption and peak power output Control (N = 28): usual care; intervention (N = 25): moderate-level thrice-weekly cycle ergometer sessions for 15 weeks (Theory of Planned Behavior) Intervention group had significantly higher peak oxygen consumption and power output 2% attrition
 Fairey et al104 53 postmenopausal women with breast cancer who completed initial treatment Insulin resistance and IGF-1,2/IGFBP3 Control (N = 28): wait list; intervention (N = 25): thrice-weekly (15 weeks) cycle ergometer training Significant differences in intervention v control change scores for IGF-1 (−4.9 ± 10.7 v 2.5 ± 14.8 ng/mL) and IGFBP-3 (103.4 ± 224.7 v −77.1 ± 313.5 ng/mL) 4% attrition in intervention arm/0% in control arm; 98% adherence in intervention arm
 Jones et al91 450 breast cancer survivors Frequency of exercise Usual-care control (N = 150); physician recommendation to exercise (N = 150); physician recommendation to exercise + referral for exercise consult (N = 150) At 5-weeks postconsult, significant differences (P = .011) were observed between arms, with the usual-care, recommendation-only, and recommendation + referral reporting 6.7 ± 8.9, 10.1 ± 10.7, and 8.2 ± 9.5 Metabolic Equivalent Task h/wk of total exercise, respectively 34.5% overall attrition; attrition was significantly higher in the control arm (42%) compared with the other two groups (29-33%)

Note: Does not include studies using quasi-experimental designs or those aimed primarily at alleviating acute, short-term, treatment-related adverse effects or those aimed solely at improving psychosocial quality of life.

Abbreviations: MHR, maximum heart rate; NS, not significant; IGF-1, insulin-like growth factor 1; IGFBP-3, insulin-like growth factor-binding protein-3.

SMOKING-CESSATION INTERVENTIONS AMONG CANCER SURVIVORS

Smoking is well recognized for its causal association with lung and head and neck cancers, as well as CVD; however, less well known is its association with cancers of the cervix, bladder, and kidney.133 Thus, smoking cessation is of paramount importance for primary prevention and is essential also for preventing recurrence among those with tobacco-related carcinomas.134 Although one would expect that the cancer diagnosis may provide a “teachable moment,”6 Sanderson-Cox et al129 observed comparable uptake of a brief smoking-cessation intervention delivered by a nicotine-dependence counselor in both lung cancer and nonlung cancer patients (ie, 22% v 14% abstinence rates, respectively; no significant difference in adjusted analyses). Similarly, no observed differences were seen between quit rates of head and neck cancer patients who received standardized advice to quit versus those who received more intensive counseling by their surgeons.128 Schnoll et al130 also observed no significant differences in quit rates when they compared cancer patients who received standard of care to those who received a brief (<5-minute) smoking-cessation intervention from their physician. Taken together, these findings suggest that proven smoking-cessation interventions may be appropriate for use among cancer survivors; however, more work is needed to develop effective interventions for use in these high-risk and resistant populations.134

DIETARY INTERVENTIONS AMONG CANCER SURVIVORS

To date, there have been 11 reported dietary-intervention studies among cancer survivors. These have been divided equally across the following areas: (1) energy restriction115,116,119; (2) fat restriction113,114,118,123; and (3) a plant-based, low-fat diet.117,120,121,122 Dietary intake has been reported in seven of these studies, and findings suggest that interventions have been largely effective in promoting dietary change—a change that is confirmed in two of the three studies in which biomarkers of intake were collected (ie, serum carotenoids as a measure of fruit and vegetable intake).121,122 In eight studies, body weight was listed as an end point,113-119,123 and significant improvement in weight status was reported in all but one of these studies.119 Hormonal end points were measured in two of three studies that explored the effects of low-fat diet interventions, and findings suggest that estrogen profiles improved overall.113,123 Therefore, these dietary interventions seem successful, at least with respect to the end points considered. However, most dietary interventions to date have relied on intensive, in-person, individualized counseling sessions delivered by trained nutritionists and therefore are resource intensive. Kristal et al,118 Djuric et al,116 and Pierce et al121,122 have reported success in using less intensive interventions that are either delivered by trained volunteer staff, by commercial institutions (ie, Weight Watchers), or through telephone counseling, although trained nutritionists were still an important component of these interventions.

Combined approaches using individualized counseling, group classes, and telephone counseling have served as the delivery channels for two large, multisite, randomized controlled trials that should produce results regarding whether modifications in diet affect disease-free and/or overall survival. Published findings of the Women's Intervention Nutrition Study (a trial that will test the effect of a low-fat diet [< 15% of total calories] in approximately 2,500 postmenopausal breast cancer patients) are anticipated soon.135 Results of the Women's Healthy Eating and Living Study, a trial that will test the effect of more global dietary change (ie, daily intakes of five vegetable servings, 16 ounces of vegetable juice, three fruit servings, 15% to 20% energy from fat, and 30 g of dietary fiber) in 3,088 pre- and postmenopausal breast cancer patients are anticipated in 2006.121,122 Although preliminary findings suggest that these interventions have been effective in promoting biomarker-validated dietary change,121 the impact of dietary change on ultimate end points of disease progression and recurrence has yet to be determined. The results of both of these trials will be instrumental in filling the void that currently exists regarding the impact of dietary interventions on disease-free survival.

Although problems with anorexia and cachexia may continue among some groups of survivors such as those with head and neck cancers,14 for many survivors avoiding or controlling obesity is a far greater problem. 11,14,15,18,20,22,48,74 Here, multiple behavior interventions that use a comprehensive approach to energy balance and include both diet and exercise components may have the potential to be more effective than interventions relying on either component alone.136 In their evaluation of a diet and exercise intervention aimed at early-stage breast cancer patients, Goodwin et al124 found that aerobic exercise was the strongest predictor of weight loss. To date, findings of only two multiple behavior interventions among survivors have been reported, and both used quasi-experimental designs.124,125 There are, however, at least two studies that are currently in the field.7,8

EXERCISE INTERVENTIONS AMONG CANCER SURVIVORS

Exercise-intervention trials have comprised the majority of the behavioral interventions conducted among cancer survivors to date. Many of these trials were undertaken to determine whether increased physical activity could relieve treatment-related nausea and fatigue or were aimed at improving QOL. Recent reviews by Courneya,50 Courneya and Friedenreich,51 Pinto and Maruyama,52 Schwartz,53 and the Agency for Healthcare Research and Quality136 find that exercise is consistently associated with improved QOL. The Agency for Healthcare Research and Quality review, as well as recent reviews by McTiernan49 and Galvao and Newton,137 suggest that exercise interventions have been effective also in improving physical functioning (ie, oxygen capacity, other fitness or strength measures, flexibility, and global health), anthropometric measures (ie, weight status, body fat, and waist and hip circumferences), and health-related biomarkers (ie, blood pressure, heart rate, hemoglobin concentration, and circulating hormonal levels). Increased engagement in social activities and less sleep disturbance have been reported also.94,95 A recent study by Fairey et al104 also suggests that exercise has a favorable effect on a subset of markers associated with metabolic syndrome such as insulin-like growth factor 1 and insulin-like growth factor-binding protein-3. Although it is clear that exercise is associated with many benefits for the cancer survivor, the impact of exercise on survival (whether overall or disease free) remains to be determined.49,136-138 Additionally, it still is unknown how soon after diagnosis exercise should be promoted.136 Although reviews suggest that early intervention has positive effects on QOL and several health outcomes, there is the potential, at least theoretically, for exercise to increase free-radical formation, reduce white blood cell counts, and interfere with treatment.49 Pre-existing conditions (eg, arthritis, chronic obstructive pulmonary disease) and adverse effects of treatment (eg, cardiac compromise secondary to anthracycline exposure) also may warrant caution in what types of exercise and how aggressively a survivor should pursue exercise after treatment. Thus, more research is necessary, as is prudent guidance for pursuing exercise in a moderate and stepped-dose approach, especially if undertaken during active treatment.49-53

FUTURE DIRECTIONS: THE ONCOLOGIST'S ROLE IN PROMOTING HEALTH

As cancer joins the ranks of chronic disease, oncologists will increasingly find themselves at a juncture with their patients, as interests turn from acute care to managing long-term health. Cancer survivors thus present us with an exceptional opportunity to target primary, secondary, and tertiary prevention strategies capable of effecting beneficial outcomes at all three levels of prevention. A cancer survivor may simultaneously be a good candidate to receive (1) primary prevention messages such as reducing saturated fats in the diet and obesity management to prevent coronary heart disease and other potential comorbidities, (2) secondary prevention strategies such as screening for breast cancer in females previously treated for Hodgkin's Disease or regular screening for other secondary malignant neoplasms among those diagnosed and treated for cancer, and (3) tertiary prevention methods such as the early detection and management of late effects of cancer treatment such as heart disease after adriamycin chemotherapy. Such strategies may overlap; for example, the use of DEXRA or Zinecard in relation to adriamycin-based chemotherapy may have implications in both primary and tertiary prevention. Messages and strategies also must be tempered and are affected by multiple mediating or moderating factors such as age (current and at diagnosis/treatment), genetic risk profile (family history), concurrent comorbidities, and so on. Figure 1 presents a model of some of the more salient and complex associations between prevention strategies, attendant targets, and potential moderators or mediators. A recent review by Kattlove and Wynn139 also can help guide oncologists in providing quality continuing care for their patients—care that spans a broad spectrum of medical areas ranging from surveillance to genetic susceptibility. As noted, cancer survivors increasingly are looking to their oncology care providers for counsel and guidance with respect to lifestyle change that will improve their prospects of a healthier life and possibly a longer one as well.95,139 Although complete data regarding lifestyle change among cancer survivors have yet to be determined and there remains an unmet need for behavioral interventions with proven efficacy in various cancer populations,140 the oncologist nonetheless can make use of extant data to inform practice and also should be attentive to new developments in the field. Physician-based strategies also can be adopted from those that currently exist in primary care.141-148 Additionally, the development of partnerships with behavioral researchers, as well as allied health personnel, may be helpful in overcoming barriers of limited time, resources, and expertise in delivering effective lifestyle interventions.149 A resource list of organizations that provide sound information regarding lifestyle behaviors also is provided in Table 3 to facilitate this exchange. For decades the cancer diagnosis has been acknowledged as a life-changing event. It is time for oncology care providers not only to lead their patients away from disease but also to capitalize on the teachable moment that cancer provides and guide their patients to better health.

Fig 1.

Fig 1

Model for preventive health among cancer survivors.

Table 3.

Selected Listing of Resources to Inform Healthful Lifestyle Change

Behavior Organization Contact
Smoking cessation American Cancer Society (800) ACS-2345; http://www.cancer.org/docroot/PED/ped_10.asp
Centers for Disease Control (770) 488-5820; http://www.cdc.gov/tobacco/how2quit.htm
National Cancer Institute Quit-Line (877) 44U-QUIT; http://www.smokefree.gov/guide
National Network of Quitlines (800) QUIT-NOW
Physical activity American College of Sports Medicine (317) 637-9200; http://www.acsm.org/health%2Bfitness/index.htm
American Heart Association (800) 242-8721; http://www.americanheart.org/presenter.jhtml?identifier=1200013
Centers for Disease Control (770) 488-5820; http://www.cdc.gov/nccdphp/dnpa/physical/index.htm
National Heart, Lung, and Blood Institute (301) 592 8573; http://www.nhlbi.nih.gov/health/public/heart/obesity/lose_wt/phy_act.htm
Diet (general) American Cancer Society (800) ACS-2345; http://www.cancer.org/docroot/MH/MH_1.asp?sitearea=MHandlevel=1
American Dietetic Association (800) 877-1600; http://www.eatright.org
American Heart Association (800) 242-8721; http://www.americanheart.org/presenter.jhtml?identifier=1200010
American Institute for Cancer Research (800) 843-8114; http://www.aicr.org/index.lasso
Department of Health and Human Services http://www.healthierus.gov/dietaryguidelines
Diet (fruits and vegetables) Centers for Disease Control (800) 311-3435; http://www.cdc.gov/nccdphp/dnpa/5aday
Food and Drug Administration (888) 463-6332; http://www.fda.gov/fdac/features/1997/297_five.html and http://www.cfsan.fda.gov/∼dms/fda5aday.html
National Cancer Institute (800) 422-6237; http://www.5aday.gov/homepage/index_content.html
Diet (weight control) American Diabetes Association (800) 342-2383; http://www.diabetes.org/weightloss-and-exercise/weightloss/portioncontrol.jsp
Centers for Disease Control (800) 311-3435; http://www.cdc.gov/nccdphp/dnpa/obesity/index.htm
National Heart, Lung, and Blood Institute (301) 592 8573; http://www.nhlbi.nih.gov/health/public/heart/obesity/lose_wt/patmats.htm
Sunscreen use American Academy of Dermatology (888) 462-DERM; http://www.aad.org/public/Publications/pamphlets/SkinCancer.htm
National Cancer Institute (800) 4-CANCER; http://www.meb.uni-bonn.de/cancernet/504733.html
Skin Cancer Foundation (800) SKIN-490; http://www.skincancer.org/prevention/index.php
General wellness Agency for Healthcare Research and Quality (301) 427-1364; http://www.ahrq.gov/consumer/index.html#prevention
Office of Cancer Survivorship (301) 594-6776; http://cancercontrol.cancer.gov/ocs/health.html

Footnotes

Supported by National Institutes of Health grant Nos. CA81191 (W.D.-W.), CA92468 (W.D.-W.), CA106919 (W.D.-W.), and The Susan G. Komen Foundation (W.D.-W. and N.M.A.), American Cancer Society (B.M.P.), and The Lance Armstrong Foundation (B.M.P.).

Parts of this article have been used to develop a chapter (coauthors: W.D.-W. and N.M.A.) within a planned volume entitled “Handbook of Behavioral Science and Cancer” to be published by the American Psychological Association later this year.

Authors' Disclosures of Potential Conflicts of Interest

The authors indicated no potential conflicts of interest.

REFERENCES

  • 1.Aziz N. Cancer survivorship research: Challenge and opportunity. J Nutr. 2002;132(suppl 2):3494S–3503S. doi: 10.1093/jn/132.11.3494S. [DOI] [PubMed] [Google Scholar]
  • 2.Aziz N, Rowland J. Trends and advances in cancer survivorship research: Challenge and opportunity. Semin Radiat Oncol. 2003;13:248–266. doi: 10.1016/S1053-4296(03)00024-9. [DOI] [PubMed] [Google Scholar]
  • 3.Jemal A, Clegg LX, Ward E, et al. Annual report to the nation on the status of cancer, 1875-2001, with a special feature regarding survival. Cancer. 2004;101:3–27. doi: 10.1002/cncr.20288. [DOI] [PubMed] [Google Scholar]
  • 4.Rowland J, Mariotto A, Aziz N, et al. Cancer survivorship—United States, 1971-2001. MMWR. 2004;53:526–529. [PubMed] [Google Scholar]
  • 5.McBride CM, Emmons KM, Lipkus I. Understanding the potential of teachable moments: The case of smoking. Cessation Health Ed Res. 2003;18:156–170. doi: 10.1093/her/18.2.156. [DOI] [PubMed] [Google Scholar]
  • 6.McBride CM, Ostroff JS. Teachable moments for promoting smoking cessation: The context of cancer care and survivorship. Cancer Control. 2003;10:325–333. doi: 10.1177/107327480301000407. [DOI] [PubMed] [Google Scholar]
  • 7.Demark-Wahnefried W, Clipp EC, McBride C, et al. Design of FRESH START: A randomized trial of exercise and diet among cancer survivors. Med Sci Sports Exerc. 2003;35:415–424. doi: 10.1249/01.MSS.0000053704.28156.0F. [DOI] [PubMed] [Google Scholar]
  • 8.Demark-Wahnefried W, Clipp EC, Morey M, et al. Leading the Way in Exercise and Diet (Project LEAD): Intervening to improve function among older breast and prostate cancer survivors. Control Clin Trials. 2003;24:206–223. doi: 10.1016/s0197-2456(02)00266-0. [DOI] [PubMed] [Google Scholar]
  • 9.Day RW. Future need for more cancer research. J Am Diet Assoc. 1998;98:523. doi: 10.1016/S0002-8223(98)00118-7. [DOI] [PubMed] [Google Scholar]
  • 10.Brown BW, Brauner C, Minnotte MC. Noncancer deaths in white adult cancer patients. J Natl Cancer Inst. 1993;85:979–997. doi: 10.1093/jnci/85.12.979. [DOI] [PubMed] [Google Scholar]
  • 11.Ganz PA. Late effects of cancer and its treatment. Semin Oncol Nurs. 2001;17:241–248. doi: 10.1053/sonu.2001.27914. [DOI] [PubMed] [Google Scholar]
  • 12.Meadows AT, Varricchio C, Crosson K, et al. Research issues in cancer survivorship: Report of a workshop sponsored by the Office of Cancer Survivorship, National Cancer Institute. Cancer Epidemiol Biomarkers Prev. 1998;7:1145–1151. [PubMed] [Google Scholar]
  • 13.Travis LB. Therapy-associated solid tumors. Acta Oncol. 2002;41:323–333. doi: 10.1080/028418602760169361. [DOI] [PubMed] [Google Scholar]
  • 14.Brown JK, Byers T, Doyle C, et al. Nutrition and physical activity during and after cancer treatment: An American Cancer Society guide for informed choices. CA Cancer J Clin. 2003;53:268–291. doi: 10.3322/canjclin.53.5.268. [DOI] [PubMed] [Google Scholar]
  • 15.Rock CL, Demark-Wahnefried W. Nutrition and survival after the diagnosis of breast cancer: A review of the evidence. J Clin Oncol. 2002;20:3302–3316. doi: 10.1200/JCO.2002.03.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Bergstrom A, Pisani P, Tenet V, et al. Overweight as an avoidable cause of cancer in Europe. Int J Cancer. 2001;91:421–430. doi: 10.1002/1097-0215(200002)9999:9999<::aid-ijc1053>3.0.co;2-t. Erratum: Int J Cancer 92:927, 2001. [DOI] [PubMed] [Google Scholar]
  • 17.World Health Organization . IARC Handbook of Cancer Prevention (ISSN 1027-5622) Vol. 6. IARC Press; Lyon, France: 2002. [Google Scholar]
  • 18.Chlebowski RT, Aiello E, McTiernan A. Weight loss in breast cancer patient management. J Clin Oncol. 2002;20:1128–1143. doi: 10.1200/JCO.2002.20.4.1128. [DOI] [PubMed] [Google Scholar]
  • 19.Nuver J, Smit AJ, Postma A, et al. The metabolic syndrome in long-term cancer survivors, an important target for secondary measures. Cancer Treat Rev. 2002;28:195–214. doi: 10.1016/s0305-7372(02)00038-5. [DOI] [PubMed] [Google Scholar]
  • 20.Freedland SJ, Aronson WJ, Kane CJ, et al. Impact of obesity on biochemical control after radical prostatectomy for clinically localized prostate cancer: A report by the Shared Equal Access Regional Cancer Hospital database study group. J Clin Oncol. 2004;22:446–453. doi: 10.1200/JCO.2004.04.181. [DOI] [PubMed] [Google Scholar]
  • 21.Argiles JM, Lopez-Soriano FJ. Insulin and cancer. Int J Oncol. 2001;18:683–687. [PubMed] [Google Scholar]
  • 22.Bines J, Gradishar WJ. Primary care issues for the breast cancer survivor. Compr Ther. 1997;23:605–611. [PubMed] [Google Scholar]
  • 23.Yoshikawa T, Noguchi Y, Doi C, et al. Insulin resistance in patients with cancer: Relationships with tumor site, tumor stage, body-weight loss, acute-phase response, and energy expenditure. Nutrition. 2001;17:590–593. doi: 10.1016/s0899-9007(01)00561-5. [DOI] [PubMed] [Google Scholar]
  • 24.Balkau B, Kahn HS, Courbon D, et al. Hyperinsulinemia predicts fatal liver cancer but is inversely associated with fatal cancer at some other sites: The Paris Prospective Study. Diabetes Care. 2001;24:843–849. doi: 10.2337/diacare.24.5.843. [DOI] [PubMed] [Google Scholar]
  • 25.Lamont EB, Christakis NA, Lauderdale DS. Favorable cardiac risk among elderly breast carcinoma survivors. Cancer. 2003;98:2–10. doi: 10.1002/cncr.11467. [DOI] [PubMed] [Google Scholar]
  • 26.Hull MC, Morris CG, Pepine CJ, et al. Valvular dysfunction and carotid, subclavian, and coronary artery disease in survivors of Hodgkin lymphoma treated with radiation therapy. JAMA. 2003;290:2831–2837. doi: 10.1001/jama.290.21.2831. [DOI] [PubMed] [Google Scholar]
  • 27.Buist DS, LaCroix AZ, Barlow WE, et al. Bone mineral density and endogenous hormones and risk of breast cancer in postmenopausal women (United States) Cancer Causes Control. 2001;12:213–222. doi: 10.1023/a:1011231106772. [DOI] [PubMed] [Google Scholar]
  • 28.Buist DS, LaCroix AZ, Barlow WE, et al. Bone mineral density and breast cancer risk in postmenopausal women. J Clin Epidemiol. 2001;54:417–422. doi: 10.1016/s0895-4356(00)00301-2. [DOI] [PubMed] [Google Scholar]
  • 29.Cauley JA, Lucas FL, Kuller LH, et al. Bone mineral density and risk of breast cancer in older women: The study of osteoporotic fractures: Study of Osteoporotic Fractures Research Group. JAMA. 1996;276:1404–1408. [PubMed] [Google Scholar]
  • 30.Lamont EB, Lauderdale DS. Low risk of hip fracture among elderly breast cancer survivors. Ann Epidemiol. 2003;13:698–703. doi: 10.1016/s1047-2797(03)00056-5. [DOI] [PubMed] [Google Scholar]
  • 31.Lucas FL, Cauley JA, Stone RA, et al. Bone mineral density and risk of breast cancer: Differences by family history of breast cancer. Study of Osteoporotic Fractures Research Group. Am J Epidemiol. 1998;148:22–29. doi: 10.1093/oxfordjournals.aje.a009554. [DOI] [PubMed] [Google Scholar]
  • 32.Newcomb PA, Trentham-Dietz A, Egan KM, et al. Fracture history and risk of breast and endometrial cancer. Am J Epidemiol. 2001;153:1071–1078. doi: 10.1093/aje/153.11.1071. [DOI] [PubMed] [Google Scholar]
  • 33.van der Klift M, de Laet CE, Coebergh JW, et al. Bone mineral density and the risk of breast cancer: The Rotterdam Study. Bone. 2003;32:211–216. doi: 10.1016/s8756-3282(02)00972-9. [DOI] [PubMed] [Google Scholar]
  • 34.Zhang Y, Kiel DP, Kreger BE, et al. Bone mass and the risk of breast cancer among post-menopausal women. N Engl J Med. 1997;336:611–617. doi: 10.1056/NEJM199702273360903. [DOI] [PubMed] [Google Scholar]
  • 35.Zmuda JM, Cauley JA, Ljung BM, et al. Bone mass and breast cancer risk in older women: Differences by stage at diagnosis. J Natl Cancer Inst. 2001;93:930–936. doi: 10.1093/jnci/93.12.930. [DOI] [PubMed] [Google Scholar]
  • 36.Schultz PN, Beck ML, Stava C, et al. Health profiles in 5836 long-term cancer survivors. Int J Cancer. 2003;104:488–495. doi: 10.1002/ijc.10981. [DOI] [PubMed] [Google Scholar]
  • 37.Twiss JJ, Waltman N, Ott CD, et al. Bone mineral density in postmenopausal breast cancer survivors. J Am Acad Nurse Pract. 2001;13:276–284. doi: 10.1111/j.1745-7599.2001.tb00035.x. [DOI] [PubMed] [Google Scholar]
  • 38.Ramaswamy B, Shapiro CL. Osteopenia and osteoporosis in women with breast cancer. Semin Oncol. 2003;30:763–775. doi: 10.1053/j.seminoncol.2003.08.028. [DOI] [PubMed] [Google Scholar]
  • 39.Diamond TH, Higano CS, Smith MR, et al. Osteoporosis in men with prostate carcinoma receiving androgen-deprivation therapy: Recommendations for diagnosis and therapies. Cancer. 2004;100:892–899. doi: 10.1002/cncr.20056. [DOI] [PubMed] [Google Scholar]
  • 40.Ko CY, Maggard M, Livingston EH. Evaluating health utility in patients with melanoma, breast cancer, colon cancer, and lung cancer: A nationwide, population-based assessment. J Surg Res. 2003;114:1–5. doi: 10.1016/s0022-4804(03)00167-7. [DOI] [PubMed] [Google Scholar]
  • 41.Garman KS, Pieper CF, Seo P, et al. Function in elderly cancer survivors depends on comorbidities. J Gerontol A Biol Sci Med Sci. 2003;58:M1119–M1124. doi: 10.1093/gerona/58.12.m1119. [DOI] [PubMed] [Google Scholar]
  • 42.Hewitt M, Rowland JH, Yancik R. Cancer survivors in the United States: Age, health and disability. J Gerontol A Biol Sci Med Sci. 2003;58:82–91. doi: 10.1093/gerona/58.1.m82. [DOI] [PubMed] [Google Scholar]
  • 43.Ashing-Giwa K, Ganz PA, Petersen L. Quality of life of African-American and white long term breast carcinoma survivors. Cancer. 1999;85:418–426. doi: 10.1002/(sici)1097-0142(19990115)85:2<418::aid-cncr20>3.0.co;2-9. Erratum: Cancer 86:732-733, 1999. [DOI] [PubMed] [Google Scholar]
  • 44.Baker F, Haffer S, Denniston M. Health-related quality of life of cancer and noncancer patients in Medicare managed care. Cancer. 2003;97:674–681. doi: 10.1002/cncr.11085. [DOI] [PubMed] [Google Scholar]
  • 45.Chirikos TN, Russell-Jacobs A, Jacobsen PB. Functional impairment and the economic consequences of female breast cancer. Women Health. 2002;36:1–20. doi: 10.1300/J013v36n01_01. [DOI] [PubMed] [Google Scholar]
  • 46.Mandelblatt JS, Edge SB, Meropol NJ, et al. Predictors of long-term outcomes in older breast cancer survivors: Perceptions versus patterns of care. J Clin Oncol. 2003;21:255–263. doi: 10.1200/JCO.2003.05.007. [DOI] [PubMed] [Google Scholar]
  • 47.Pinto B, Eakin E, Maruyama N. Health behavior changes after a cancer diagnosis: What do we know and where do we go from here? Ann Behav Med. 2000;22:38–52. doi: 10.1007/BF02895166. [DOI] [PubMed] [Google Scholar]
  • 48.Chlebowski RT. The American Cancer Society guide for nutrition and physical activity for cancer survivors: A call to action for clinical investigators. CA Cancer J Clin. 2003;53:266–267. doi: 10.3322/canjclin.53.5.266. [DOI] [PubMed] [Google Scholar]
  • 49.McTiernan A. Physical activity after cancer: Physiologic outcomes. Cancer Invest. 2004;22:68–81. doi: 10.1081/cnv-120027581. [DOI] [PubMed] [Google Scholar]
  • 50.Courneya K. Exercise in cancer survivors: An overview of research. Med Sci Sports Exerc. 2003;35:1846–1852. doi: 10.1249/01.MSS.0000093622.41587.B6. [DOI] [PubMed] [Google Scholar]
  • 51.Courneya K, Friedenreich C. Physical exercise and quality of life following cancer diagnosis: A literature review. Ann Behav Med. 1999;21:171–179. doi: 10.1007/BF02908298. [DOI] [PubMed] [Google Scholar]
  • 52.Pinto BM, Maruyama NC. Exercise in the rehabilitation of breast cancer survivors. Psychooncology. 1999;8:191–206. doi: 10.1002/(SICI)1099-1611(199905/06)8:3<191::AID-PON355>3.0.CO;2-T. [DOI] [PubMed] [Google Scholar]
  • 53.Schwartz AL. Physical activity after a cancer diagnosis: Psychosocial outcomes. Cancer Invest. 2004;22:82–92. doi: 10.1081/cnv-120027582. [DOI] [PubMed] [Google Scholar]
  • 54.Blanchard CM, Stein KD, Baker F, et al. Association between current lifestyle behaviors and health-related quality of life in breast, colorectal and prostate cancer survivors. Psychol Health. 2004;19:1–13. [Google Scholar]
  • 55.McBride CM, Clipp E, Peterson B, et al. Psychological impact of diagnosis and risk reduction among cancer survivors. Psychooncology. 2000;9:418–427. doi: 10.1002/1099-1611(200009/10)9:5<418::aid-pon474>3.0.co;2-e. [DOI] [PubMed] [Google Scholar]
  • 56.Allison P. Factors associated with smoking and alcohol consumption following treatment for head and neck cancer. Oral Oncol. 2001;37:513–520. doi: 10.1016/s1368-8375(01)00015-x. [DOI] [PubMed] [Google Scholar]
  • 57.Blanchard CM, Baker F, Denniston MM, et al. Is absolute amount or change in exercise more associated with quality of life in adult cancer survivors? Prev Med. 2003;37:389–395. doi: 10.1016/s0091-7435(03)00150-6. [DOI] [PubMed] [Google Scholar]
  • 58.Blanchard C, Denniston M, Baker F, et al. Do adults change their lifestyle behaviors after a cancer diagnosis? Am J Health Behav. 2003;27:246–256. doi: 10.5993/ajhb.27.3.6. [DOI] [PubMed] [Google Scholar]
  • 59.Demark-Wahnefried W, Peterson B, McBride C, et al. Current health behaviors and readiness to pursue life-style changes among men and women diagnosed with early stage prostate and breast carcinomas. Cancer. 2000;88:674–684. [PubMed] [Google Scholar]
  • 60.Dresler CM, Bailey M, Roper CR, et al. Smoking cessation and lung cancer resection. Chest. 1996;110:1199–1202. doi: 10.1378/chest.110.5.1199. [DOI] [PubMed] [Google Scholar]
  • 61.Duffy S, Terrell J, Valenstein M, et al. Effect of smoking, alcohol, and depression on the quality of life of head and neck cancer patients. Gen Hosp Psychiatry. 2002;24:140–147. doi: 10.1016/s0163-8343(02)00180-9. [DOI] [PubMed] [Google Scholar]
  • 62.Earle C, Burstein H, Winer E, et al. Quality of non-breast cancer health maintenance among elderly breast cancer survivors. J Clin Oncol. 2003;21:1447–1452. doi: 10.1200/JCO.2003.03.060. [DOI] [PubMed] [Google Scholar]
  • 63.Evangelista L, Sarna L, Brecht M, et al. Health perceptions and risk behaviors of lung cancer survivors. Heart Lung. 2003;32:131–139. doi: 10.1067/mhl.2003.12. [DOI] [PubMed] [Google Scholar]
  • 64.Ganz PA, Desmond KA, Leedham B, et al. Quality of life in long-term, disease-free survivors of breast cancer: A follow-up study. J Natl Cancer Inst. 2002;94:39–49. doi: 10.1093/jnci/94.1.39. Erratum: J Natl Cancer Inst 94:463, 2002. [DOI] [PubMed] [Google Scholar]
  • 65.Gritz E, Nisenbaum R, Elashoff R, et al. Smoking behavior following diagnosis in patients with stage I non-small cell lung cancer. Cancer Causes Control. 1991;2:105–112. doi: 10.1007/BF00053129. [DOI] [PubMed] [Google Scholar]
  • 66.Gritz E, Schacherer C, Koehly L, et al. Smoking withdrawal and relapse in head and neck cancer patients. Head Neck. 1999;21:420–427. doi: 10.1002/(sici)1097-0347(199908)21:5<420::aid-hed7>3.0.co;2-u. [DOI] [PubMed] [Google Scholar]
  • 67.Gross G, Ott C, Lindsey A, et al. Post-menopausal breast cancer survivors at risk for osteoporosis: Physical activity, vigor, and vitality. Oncol Nurs Forum. 2002;29:1295–1300. doi: 10.1188/02.ONF.1295-1300. [DOI] [PubMed] [Google Scholar]
  • 68.Hounshell J, Tomori C, Newlin R, et al. Changes in finances, insurance, employment, and lifestyle among persons diagnosed with hairy cell leukemia. Oncologist. 2001;6:435–444. doi: 10.1634/theoncologist.6-5-435. [DOI] [PubMed] [Google Scholar]
  • 69.Maskarinec G, Murphy S, Shumay D, et al. Dietary changes among cancer survivors. Eur J Cancer Care. 2001;10:12–20. doi: 10.1046/j.1365-2354.2001.00245.x. [DOI] [PubMed] [Google Scholar]
  • 70.Maunsell E, Drolet M, Brisson J, et al. Dietary change after breast cancer: Extent, predictors, and relation with psychological distress. J Clin Oncol. 2002;20:1017–1025. doi: 10.1200/JCO.2002.20.4.1017. [DOI] [PubMed] [Google Scholar]
  • 71.Ostroff JS, Jacobsen PB, Moadel AB, et al. Prevalence and predictors of continued tobacco use after treatment of patients with head and neck cancer. Cancer. 1995;75:569–576. doi: 10.1002/1097-0142(19950115)75:2<569::aid-cncr2820750221>3.0.co;2-i. [DOI] [PubMed] [Google Scholar]
  • 72.Ostroff J, Garland J, Moadel A, et al. Cigarette smoking patterns in patients after treatment of bladder cancer. J Cancer Educ. 2000;15:86–90. doi: 10.1080/08858190009528663. [DOI] [PubMed] [Google Scholar]
  • 73.Patterson RE, Neuhouser ML, Hedderson MM, et al. Changes in diet, physical activity, and supplement use among adults diagnosed with cancer. J Am Diet Assoc. 2003;103:323–328. doi: 10.1053/jada.2003.50045. [DOI] [PubMed] [Google Scholar]
  • 74.Pinto B, Maruyama N, Clark M, et al. Motivation to modify lifestyle risk behaviors in women treated for breast cancer. Mayo Clin Proc. 2002;77:122–129. doi: 10.4065/77.2.122. [DOI] [PubMed] [Google Scholar]
  • 75.Pinto B, Trunzo J, Reiss P, et al. Exercise participation after diagnosis of breast cancer: Trends and effects on mood and quality of life. Psychooncology. 2002;11:389–400. doi: 10.1002/pon.594. [DOI] [PubMed] [Google Scholar]
  • 76.Salminen E, Heikkila S, Poussa T, et al. Female patients tend to alter their diet following the diagnosis of rheumatoid arthritis and breast cancer. Prev Med. 2002;34:529–535. doi: 10.1006/pmed.2002.1015. [DOI] [PubMed] [Google Scholar]
  • 77.Steward D, Wiener F, Gleich L, et al. Dietary antioxidant intake in patients at risk for second primary cancer. Laryngoscope. 2003;113:1487–1493. doi: 10.1097/00005537-200309000-00012. [DOI] [PubMed] [Google Scholar]
  • 78.Tangney C, Young J, Murtaugh M, et al. Self-reported dietary habits, overall dietary quality and symptomatology of breast cancer survivors: A cross-sectional examination. Breast Cancer Res Treat. 2002;71:113–123. doi: 10.1023/a:1013885508755. [DOI] [PubMed] [Google Scholar]
  • 79.Thorsen L, Nystad W, Dahl O, et al. The level of physical activity in long-term survivors of testicular cancer. Eur J Cancer. 2003;39:1216–1221. doi: 10.1016/s0959-8049(03)00151-5. [DOI] [PubMed] [Google Scholar]
  • 80.Vander Ark W, DiNardo L, Oliver D. Factors affecting smoking cessation in patients with head and neck cancer. Laryngoscope. 1997;107:888–892. doi: 10.1097/00005537-199707000-00010. [DOI] [PubMed] [Google Scholar]
  • 81.Satia JA, Campbell MK, Galanko JA, et al. Longitudinal changes in lifestyle behaviors and health status in colon cancer survivors. Cancer Epidemiol Biomarkers Prev. 2004;13:1022–1031. [PubMed] [Google Scholar]
  • 82.US Department of Agriculture . Agricultural Research Service 1994-1996 Continuing Survey of Food Intakes by Individuals and 1994-1996 Diet and Health Knowledge Survey. Department of Agriculture; Beltsville, MD: 1998. CD-ROM. [Google Scholar]
  • 83.Wayne SJ, Lopez ST, Butler LM, et al. Changes in dietary intake after diagnosis of breast cancer. J Am Diet Assoc. 2004;104:1561–1568. doi: 10.1016/j.jada.2004.07.028. [DOI] [PubMed] [Google Scholar]
  • 84.American College of Sports Medicine Guidelines, 3/24/04 update. http://www.acsm.org/pdf/Guidelines.pdf Available at: http://www.acsm.org/pdf/Guidelines.pdf.
  • 85.Institute of Medicine Fulfilling the promise of cancer and prevention and early detection. http://www.iom.edu/report.asp?id=5402
  • 86.Irwin ML, Ainsworth BE. Physical activity interventions following cancer diagnosis: Methodologic challenges to delivery and assessment. Cancer Invest. 2004;22:30–50. doi: 10.1081/cnv-120027579. [DOI] [PubMed] [Google Scholar]
  • 87.Snyder DC, Sloane R, Lobach D, et al. Agreement between a brief mailed screener and an in-depth telephone survey: Observations from the Fresh Start study. J Am Diet Assoc. 2004;104:1593–1596. doi: 10.1016/j.jada.2004.07.024. [DOI] [PubMed] [Google Scholar]
  • 88.Pinto BM, Frierson GM, Robin C, et al. Home-based physical activity intervention for breast cancer patients. J Clin Oncol. 2005;23:3577–3587. doi: 10.1200/JCO.2005.03.080. [DOI] [PubMed] [Google Scholar]
  • 89.Mandelblatt J, Kanetsky PA. Effectiveness of interventions to enhance physician screening for breast cancer. J Fam Pract. 1995;40:162–171. [PubMed] [Google Scholar]
  • 90.Rimer BK. Improving the use of cancer screening for older women. Cancer. 1993;72(suppl 3):1084–1087. doi: 10.1002/1097-0142(19930801)72:3+<1084::aid-cncr2820721324>3.0.co;2-f. [DOI] [PubMed] [Google Scholar]
  • 91.Jones LW, Courneya KS, Fairey AS, et al. Effects of an oncologist's recommendation to exercise on self-reported exercise behavior in newly diagnosed breast cancer survivors: A single-blind, randomized controlled trial. Ann Behav Med. 2004;28:105–113. doi: 10.1207/s15324796abm2802_5. [DOI] [PubMed] [Google Scholar]
  • 92.Yarnall KS, Pollak KI, Ostbye T, et al. Primary care: Is there enough time for prevention? Am J Public Health. 2003;93:635–641. doi: 10.2105/ajph.93.4.635. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Ahuja R, Weibel SB, Leone FT. Lung cancer: The oncologist's role in smoking cessation. Semin Oncol. 2003;30:94–103. doi: 10.1053/sonc.2003.50000. [DOI] [PubMed] [Google Scholar]
  • 94.MacVicar M, Winningham M. Promoting the functional capacity of cancer patients. Cancer Bull. 1986;38:235–239. [Google Scholar]
  • 95.Berglund G, Bolund C, Gustafsson U, et al. Starting Again—A comparison study of a group rehabilitation program for cancer patients. Acta Oncol. 1993;32:15–21. doi: 10.3109/02841869309083879. [DOI] [PubMed] [Google Scholar]
  • 96.Berglund G, Bolund C, Gustafson U. Randomized study of a rehabilitation program for cancer patients: The “Starting Again” group. Psychooncology. 1994;3:109–120. [Google Scholar]
  • 97.Burnham T, Wilcox A. Effects of exercise on physiological and psychological variables in cancer survivors. Med Sci Sports Exerc. 2002;34:1863–1867. doi: 10.1097/00005768-200212000-00001. [DOI] [PubMed] [Google Scholar]
  • 98.Courneya K, Friedenreich C, Sela R, et al. The group psychotherapy and home-based physical exercise (group-hope) trial in cancer survivors: Physical fitness and quality of life outcomes. Psychooncology. 2003;12:357–374. doi: 10.1002/pon.658. [DOI] [PubMed] [Google Scholar]
  • 99.Courneya K, Mackey J, Bell G, et al. Randomized controlled trial of exercise training in postmenopausal breast cancer survivors: Cardiopulmonary and quality of life outcomes. J Clin Oncol. 2003;21:1660–1668. doi: 10.1200/JCO.2003.04.093. [DOI] [PubMed] [Google Scholar]
  • 100.Dimeo F, Bertz H, Finke J. An aerobic exercise program for patients with haematological malignancies after bone marrow transplantation. Bone Marrow Transplant. 1996;18:1157–1160. [PubMed] [Google Scholar]
  • 101.Dimeo F, Fetcher S, Lange W, et al. Effects of aerobic exercise on the physical performance and incidence of treatment-related complications after high-dose chemotherapy. Blood. 1997;90:3390–3394. [PubMed] [Google Scholar]
  • 102.Dimeo F, Rumberger B, Keul J. Aerobic exercise as therapy for cancer fatigue. Med Sci Sports Exerc. 1998;30:475–478. doi: 10.1097/00005768-199804000-00001. [DOI] [PubMed] [Google Scholar]
  • 103.Dimeo F, Tilman M, Bertz H, et al. Aerobic exercise in the rehabilitation of cancer patients after high dose chemotherapy and autologous peripheral stem cell transplantation. Cancer. 1997;79:1717–1722. [PubMed] [Google Scholar]
  • 104.Fairey AS, Courneya KS, Field CJ, et al. Effects of exercise training on fasting insulin, insulin resistance, insulin-like growth factors, and insulin-like growth factor binding proteins in postmenopausal breast cancer survivors: A randomized controlled trial. Cancer Epidemiol Biomarkers Prev. 2003;12:721–727. [PubMed] [Google Scholar]
  • 105.Kolden G, Strauman T, Ward A, et al. A pilot study of group exercise training (GET) for women with primary breast cancer: Feasibility and health benefits. Psychooncology. 2002;11:447–456. doi: 10.1002/pon.591. [DOI] [PubMed] [Google Scholar]
  • 106.MacVicar M, Winningham M, Nickel J. Effects of aerobic interval training on cancer patients' functional capacity. Nurs Res. 1989;38:348–351. [PubMed] [Google Scholar]
  • 107.McKenzie DC, Kalda AL. Effect of upper extremity exercise on secondary lymphedema in breast cancer patients: A pilot study. J Clin Oncol. 2003;21:463–466. doi: 10.1200/JCO.2003.04.069. [DOI] [PubMed] [Google Scholar]
  • 108.McTiernan A, Ulrich C, Kumai C, et al. Anthropometric and hormone effects of an eight-week exercise-diet intervention in breast cancer patients: Results of a pilot study. Cancer Epidemiol Biomarkers Prev. 1998;7:477–481. [PubMed] [Google Scholar]
  • 109.Peters C, Lotzerich H, Niemeier B, et al. Influence of a moderate exercise training on natural killer cytotoxicity and personality traits in cancer patients. Anticancer Res. 1994;14:1033–1036. [PubMed] [Google Scholar]
  • 110.Segal R, Evans W, Johnson D, et al. Structured exercise improves physical functioning in women with stages I and II breast cancer: Results of a randomized controlled trial. J Clin Oncol. 2001;19:657–665. doi: 10.1200/JCO.2001.19.3.657. [DOI] [PubMed] [Google Scholar]
  • 111.Segal R, Reid R, Courneya K, et al. Resistance exercise in men receiving androgen deprivation therapy for prostate cancer. J Clin Oncol. 2003;21:1653–1659. doi: 10.1200/JCO.2003.09.534. [DOI] [PubMed] [Google Scholar]
  • 112.Winningham ML, MacVicar MG, Bondoc M, et al. Effect of aerobic exercise on body weight and composition in patients with breast cancer on adjuvant chemotherapy. Oncol Nurs Forum. 1989;16:683–689. [PubMed] [Google Scholar]
  • 113.Boyar AP, Rose DP, Loughridge JR, et al. Response to a diet low in total fat in women with postmenopausal breast cancer: A pilot study. Nutr Cancer. 1988;11:93–99. doi: 10.1080/01635588809513975. [DOI] [PubMed] [Google Scholar]
  • 114.Chlebowski RT, Rose D, Buzzard M, et al. Adjuvant dietary fat intake reduction in postmenopausal breast cancer patient management: The Women's Intervention Nutrition Study (WINS) Breast Cancer Res Treat. 1991;20:73–84. doi: 10.1007/BF01834637. [DOI] [PubMed] [Google Scholar]
  • 115.deWaard F, Ramlau R, Mulders Y, et al. A feasibility study on weight reduction in obese postmenopausal breast cancer patients. Eur J Cancer Prev. 1993;2:233–238. doi: 10.1097/00008469-199305000-00007. [DOI] [PubMed] [Google Scholar]
  • 116.Djuric Z, DiLaura N, Jenkins I, et al. Combining weight-loss counseling with the Weight Watchers plan for obese breast cancer survivors. Obesity Res. 2002;10:657–665. doi: 10.1038/oby.2002.89. [DOI] [PubMed] [Google Scholar]
  • 117.Hebert JR, Ebbeling CB, Olendzki BC, et al. Change in women's diet and body mass following intensive intervention for early-stage breast cancer. J Am Diet Assoc. 2001;101:421–431. doi: 10.1016/S0002-8223(01)00109-2. [DOI] [PubMed] [Google Scholar]
  • 118.Kristal A, Shattuck A, Bowen D, et al. Feasibility of using volunteer research staff to deliver and evaluate a low-fat dietary intervention: The American Cancer Society Breast Cancer Dietary Intervention Project. Cancer Epidemiol Biomarkers Prev. 1997;6:459–467. [PubMed] [Google Scholar]
  • 119.Loprinzi CL, Athmann LM, Kardinal CG, et al. Randomized trial of dietician counseling to try to prevent weight gain associated with breast cancer adjuvant chemotherapy. Oncology. 1996;53:228–232. doi: 10.1159/000227565. [DOI] [PubMed] [Google Scholar]
  • 120.Nordevang E, Callmer E, Marmur A, et al. Dietary intervention in breast cancer patients: Effects on food choice. Eur J Clin Nutr. 1992;46:387–396. [PubMed] [Google Scholar]
  • 121.Pierce J, Faerber S, Wright F, et al. Feasibility of a randomized trial of a high-vegetable diet to prevent breast cancer recurrence. Nutr Cancer. 1997;28:282–288. doi: 10.1080/01635589709514589. [DOI] [PubMed] [Google Scholar]
  • 122.Pierce J, Newman VA, Flatt SW, et al. Telephone counseling intervention increases intakes of micronutrient- and phytochemical-rich vegetables, fruit and fiber in breast cancer survivors. J Nutr. 2004;134:452–458. doi: 10.1093/jn/134.2.452. [DOI] [PubMed] [Google Scholar]
  • 123.Rose DP, Connolly JM, Chlebowski RT, et al. The effects of a low-fat dietary intervention and tamoxifen adjuvant therapy on the serum estrogen and sex hormone-binding globulin concentrations of postmenopausal breast cancer patients. Breast Cancer Res Treat. 1993;27:253–262. doi: 10.1007/BF00665695. [DOI] [PubMed] [Google Scholar]
  • 124.Goodwin P, Esplen MJ, Butler K, et al. Multidisciplinary weight management in locoregional breast cancer: Results of a phase II study. Breast Cancer Res Treat. 1998;48:53–64. doi: 10.1023/a:1005942017626. [DOI] [PubMed] [Google Scholar]
  • 125.Demark-Wahnefried W, Kenyon A, Eberle P, et al. Preventing sarcopenic obesity among breast cancer patients who receive adjuvant chemotherapy: Results of a feasibility study. Clin Exerc Physiol. 2002;4:44–49. [PMC free article] [PubMed] [Google Scholar]
  • 126.Browning KK, Ahijevych KL, Ross P, Jr, et al. Implementing the Agency for Health Care Policy and Research's Smoking Cessation Guideline in a lung cancer surgery clinic. Oncol Nurs Forum. 2000;27:1248–1254. [PubMed] [Google Scholar]
  • 127.Griebel B, Wewers ME, Baker CA. The effectiveness of a nurse-managed minimal smoking-cessation intervention among hospitalized patients with cancer. Oncol Nurs Forum. 1998;25:897–902. [PubMed] [Google Scholar]
  • 128.Gritz E, Carr C, Rapkin D. Predictors of long-term smoking cessation in head and neck cancer patients. Cancer Epidemiol Biomarkers Prev. 1993;2:261–270. [PubMed] [Google Scholar]
  • 129.Sanderson-Cox L, Patten C, Ebbert J, et al. Tobacco use outcomes among patients with lung cancer treated for nicotine dependence. J Clin Oncol. 2002;20:3461–3469. doi: 10.1200/JCO.2002.10.085. [DOI] [PubMed] [Google Scholar]
  • 130.Schnoll R, Zhang B, Rue M, et al. Brief physician-initiated quit-smoking strategies for clinical oncology settings: A trial coordinated by the Eastern Cooperative Oncology Group. J Clin Oncol. 2003;21:355–365. doi: 10.1200/JCO.2003.04.122. [DOI] [PubMed] [Google Scholar]
  • 131.Stanislaw AE, Wewers ME. A smoking cessation intervention with hospitalized surgical cancer patients: A pilot study. Cancer Nurs. 1994;17:81–86. [PubMed] [Google Scholar]
  • 132.Robinson J, Rademaker A. Skin cancer risk and sun protection learning by helpers of patients with non-melanoma skin cancer. Prev Med. 1995;24:333–341. doi: 10.1006/pmed.1995.1055. [DOI] [PubMed] [Google Scholar]
  • 133.American Cancer Society Cancer prevention and early detection 2004. http://www.cancer.org/downloads/STT/CAF2005f4pwsecured.pdf 7/2004 update, http://www.cancer.org/downloads/STT/CAF2005f4pwsecured.pdf.
  • 134.Sanderson L, Aftricano NL, Tercyak KP, et al. Nicotine dependence treatment for patients with cancer. Review and recommendations. Cancer. 2003;98:632–644. doi: 10.1002/cncr.11538. Erratum: Cancer 98:1104, 2003. [DOI] [PubMed] [Google Scholar]
  • 135.Wynder EL, Cohen LA, Muscat JE, et al. Breast cancer: Weighing the evidence for a promoting role of dietary fat. J Natl Cancer Inst. 1997;89:766–775. doi: 10.1093/jnci/89.11.766. [DOI] [PubMed] [Google Scholar]
  • 136.Agency for Healthcare Research and Quality . Effectiveness of Behavioral Interventions to Modify Physical Activity Behaviors in General Populations and Cancer Patients and Survivors. US Department of Health and Human Services (AHRQ publication 04-E027-2); Rockville, MD: 2004. pp. 107–111. [Google Scholar]
  • 137.Galvao DA, Newton RU. Review of exercise intervention studies in cancer patients. J Clin Oncol. 2005;23:899–909. doi: 10.1200/JCO.2005.06.085. [DOI] [PubMed] [Google Scholar]
  • 138.Kuhn KG, Boesen E, Ross L, et al. Evaluation and outcome of behavioral change in the rehabilitation of cancer patients: A review. Eur J Cancer. 2005;41:216–224. doi: 10.1016/j.ejca.2004.09.018. [DOI] [PubMed] [Google Scholar]
  • 139.Kattlove H, Winn RJ. Ongoing care of patients after primary treatment for their cancer. CA Cancer J Clin. 2003;53:172–196. doi: 10.3322/canjclin.53.3.172. Erratum: CA Cancer J Clin 53:315, 2003. [DOI] [PubMed] [Google Scholar]
  • 140.Robison LL. Cancer survivorship: Unique opportunities for research. Cancer Epidemiol Biomarkers Prev. 2004;13:1093. [PubMed] [Google Scholar]
  • 141.Goldstein MG, DePue J, Kazura A, et al. Models for provider-patient interaction: Applications to health behavior change. In: Shumaker SA, Schron E, Ockene J, et al., editors. Handbook of Health Behavior Change. ed 2 Springer; New York, NY: 1998. pp. 85–113. [Google Scholar]
  • 142.Goldstein MG, Pinto BM, Marcus BH, et al. Physician-based physical activity counseling for middle-aged and older adults: A randomized trial. Ann Behav Med. 1999;21:40–47. doi: 10.1007/BF02895032. [DOI] [PubMed] [Google Scholar]
  • 143.Goldstein MG, Whitlock EP, DePue J. Multiple behavioral risk factor interventions in primary care: Summary of research evidence. Am J Prev Med. 2004;27(2 suppl):61–79. doi: 10.1016/j.amepre.2004.04.023. [DOI] [PubMed] [Google Scholar]
  • 144.Lawlor DA, Hanratty B. The effect of physical activity advice given in routine primary care consultations: A systematic review. J Public Health Med. 2001;23:219–226. doi: 10.1093/pubmed/23.3.219. [DOI] [PubMed] [Google Scholar]
  • 145.Ockene JK, Zapka JG. Provider education to promote implementation of clinical practice guidelines. Chest. 2000;118(2 suppl):33S–39S. doi: 10.1378/chest.118.2_suppl.33s. [DOI] [PubMed] [Google Scholar]
  • 146.Pinto BM, Goldstein MG, Marcus BH. Activity counseling by primary care physicians. Prev Med. 1998;27:506–513. doi: 10.1006/pmed.1998.0335. [DOI] [PubMed] [Google Scholar]
  • 147.US Preventive Services Task Force Behavioral counseling in primary care to promote physical activity: Recommendation and rationale. Ann Intern Med. 2002;137:205–207. doi: 10.7326/0003-4819-137-3-200208060-00014. [DOI] [PubMed] [Google Scholar]
  • 148.Writing Group for the Activity Counseling Trial Research Group Effects of physical activity counseling in primary care: the Activity Counseling Trial: A randomized controlled trial. JAMA. 2001;286:677–687. doi: 10.1001/jama.286.6.677. [DOI] [PubMed] [Google Scholar]
  • 149.Trask PC, Schwartz SM, Deaner SL, et al. Behavioral medicine: The challenge of integrating psychological and behavioral approaches into primary care. Eff Clin Pract. 2002;5:75–83. [PubMed] [Google Scholar]

RESOURCES