Abstract
Background
Breast cancer diagnosis may be a teachable moment for lifestyle behaviour change and to prevent adjuvant therapy associated weight gain. We assessed the acceptability and effectiveness of two weight control programmes initiated soon after breast cancer diagnosis to reduce weight amongst overweight or obese women and prevent gains in normal-weight women.
Methods
Overweight or obese (n = 243) and normal weight (n = 166) women were randomised to a three-month unsupervised home (home), a supervised community weight control programme (community) or to standard written advice (control). Primary end points were change in weight and body fat at 12 months. Secondary end points included change in insulin, cardiovascular risk markers, quality of life and cost-effectiveness of the programmes.
Results
Forty-three percent of eligible women were recruited. Both programmes reduced weight and body fat: home vs. control mean (95% CI); weight −2.3 (−3.5, −1.0) kg, body fat −1.6 (−2.6, −0.7) kg, community vs. control; weight −2.4 (−3.6, −1.1) kg, body fat −1.4 (−2.4, −0.5) kg (all p < 0.001). The community group increased physical activity, reduced insulin, cardiovascular disease risk markers, increased QOL and was cost-effective.
Conclusions
The programmes were equally effective for weight control, but the community programme had additional benefits.
Clinical trial registration
ISRCTN68576140
Similar content being viewed by others
Background
Observational studies indicate that excess weight at breast cancer (BC) diagnosis and significant weight gain (5–10%) thereafter are associated with increased BC specific and all-cause mortality1,2,3,4 greater side effects of treatment5,6 and decreased quality of life (QOL).7 Significant numbers of BC patients are overweight (30%) or obese (25%) at diagnosis8 and gain ≥ 5% weight thereafter (30–50%).9 These data suggest that weight loss in overweight/obese women and preventing weight gain in all patients could improve the outcome and wellbeing of women after a diagnosis of BC. A large number of trials amongst overweight or obese BC patients after diagnosis report that weight loss is feasible and safe10,11 however, nearly all of these were initiated long after completion of adjuvant treatment, and after the weight gain associated with diagnosis and treatment had occurred.10,11 Three small randomised studies demonstrate the feasibility and reasonable compliance of weight and exercise programmes based either on clinic visits or telephone interventions during chemotherapy soon after BC diagnosis.12,13,14
More detailed studies of body composition amongst patients with BC suggest that weight-related adverse effects are specifically associated with increased adiposity and reduced fat-free mass.15,16,17 Early initiation of weight control is an opportunity prevent deleterious weight gain, gains in fat and reduced fat-free mass which may occur during adjuvant treatment in the months after diagnosis.18 There is a potential teachable moment at diagnosis thus engagement in lifestyle behaviour change soon after diagnosis may be more effective than further down the line after diagnosis.19,20
Both home and supervised community programmes have been found to be effective for behaviour change in the post-treatment setting.10,11 The aim of the study reported here was to compare the acceptability and effectiveness of both types of intervention compared with a control group. We compared a 3-month home phone and mail programme versus a community programme with a control group receiving standard written advice. The interventions were initiated soon after diagnosis, either before or early into adjuvant treatment programmes. The weight control programmes aimed to limit gains in body fat to ≤ 1 kg over the year amongst normal-weight women (body mass index, BMI < 25 kg/m2), and achieve a gradual weight loss of ≥ 5% (i.e. a reduction in body fat of ≥ 3 kg) amongst women who were overweight or obese at diagnosis (BMI ≥ 25 kg/m2). Primary end points were change in weight, body fat and fat-free mass (FFM) at 12 months. Secondary end points included 12-month change in cardiovascular (CVD) markers, insulin sensitivity (homoeostatic model assessment, HOMA), QOL, fitness, and the relative cost-effectiveness of the programmes. We also wished to assess the generalisability of the programme and thus women were recruited from nine breast units across Greater Manchester and Cheshire.
Methods
Study design
A multicentre randomised controlled three-arm trial (1:1:1) within nine breast units in the Greater Manchester and Cheshire Cancer Research Network, UK, coordinated by Manchester University NHS Foundation Trust at Wythenshawe Hospital.
Patient population
Participants were recruited within 12 weeks of surgery for invasive or in-situ primary BC. There were no age, weight or treatment restrictions since we were assessing the general applicability of the interventions in all patients diagnosed with early BC. Women were excluded if they had major physical/psychiatric conditions which would limit compliance to a diet and physical activity (PA) programme, diabetes requiring insulin or regularly taking medication known to affect body composition, e.g. daily glucocorticoids or were treated with neoadjuvant chemotherapy or endocrine therapy. Women were made aware of the trial before surgery or at their initial post-surgery appointment by their breast surgeon or research nurse.
Randomisation and stratification
Randomisation was undertaken in the main recruiting breast unit at Wythenshawe Hospital using a minimisation programme by the trial administrator and was stratified by; chemotherapy or no chemotherapy, BMI ≥ or < 27 kg/m2, axillary node clearance (ANC) versus no ANC, and breast unit.
Study interventions
Standard written advice (‘control’)
This group received a comprehensive booklet which explained the importance of weight control (i.e. ≥ 5% weight loss in overweight/obese and prevention of weight gain in normal-weight subjects) and physical activity (PA) after diagnosis for overall health and wellbeing, and the possible effects on BC outcome. It recommended a healthy Mediterranean type diet (45% energy from low glycaemic index carbohydrates, 30% from fat, 15% monounsaturated, 7% from saturated, 8% from polyunsaturated fat, 25% from lean protein foods, 5–7 portions fruit and vegetables/day) as described previously,21,22 at least 150 min/week of moderate intensity aerobic PA, two sessions of resistance PA per week and arm mobility exercise in accordance with national guidelines,23 and standard advice for dealing with gastrointestinal and fatigue side effects for women receiving chemotherapy.
Home-based phone and mail programme (‘home’)
This group received the written advice described above and individualised diet and PA advice from one of the trial dietitians and the physical activity specialist mainly by telephone after an initial face to face consultation. Diet advice included individualised food portion lists to follow a Mediterranean diet to meet estimated energy requirements for weight maintenance or an energy restriction 25% below estimated energy requirements for weight loss as described previously.22 Physical activity advice promoted a gradual increase towards the above targets for aerobic, resistance and arm mobility exercises which were tailored to the individual. Women were asked to estimate and report the intensity of PA using the rate of perceived exertion scale.24 Initial advice was given face to face in the main recruiting breast unit at Wythenshawe Hospital. The intensive 12 weeks of the programme included six fortnightly 20-min phone calls from their allocated trial dietitian to check compliance to diet and PA targets and address individual problems. This was followed by a mailed summary of goals and recommendations discussed. Women also received six fortnightly mailings which covered the same issues as the community programme. These were received on the weeks between the calls to maintain weekly contact throughout the 12-week programme (Supplementary Table 1).
Supervised community-based group programme (‘community’)
This group received identical written and face to face advice as the ‘home’ group, but were also asked to attend 12 weekly PA and dietary education sessions in one of five different community locations across Greater Manchester. Each session included 30 min of moderate intensity aerobic PA and 10 min of resistance and flexibility PA, followed by a 30-min diet and behaviour change education session (Supplementary Table 1). Women were monitored throughout the class to ensure that they were exercising at a moderate level (50–80% age-adjusted heart rate maximum by pulse checks and rating of perceived exertion). In addition, women were asked to undertake four aerobic and one resistance PA sessions/week at home to meet their weekly goals.
The home and community programmes used established behavioural techniques, i.e. goal setting, self-monitoring of weight and waist (weekly), diet (6 monthly food diaries), PA (daily pedometer), stress and time management, relapse prevention, and overcoming barriers.25 Both groups received booster phone calls from their allocated dietitian to reinforce advice, problem solve and monitor compliance at 4, 6 and 9 months. All study participants including the control group received a three month trial newsletter to encourage retention to the trial.
Outcome measures
Trial assessments were conducted in the main recruiting breast unit at Wythenshawe Hospital at baseline, 6 and 12 months. Body weight, height, waist and hip circumference, blood pressure, fasting insulin, glucose, HOMA, total, LDL and HDL cholesterol and triglycerides were assessed and estimated using standard methods as described previously.21,22,26 Body fat, FFM (body mass excluding fat mass and bone mineral content) and trunk fat were determined from supine dual energy X-ray absorptiometry (DXA) scans (Hologic Discovery A with Hologic APEX software). Data from the head were excluded from all DXA measures due to the high proportion of bone mineral content known to affect the accuracy of soft‐tissue measures. Unilateral artefacts, i.e. metallic joint replacements, breast implants and lymphoedema were adjusted for by replacing the corresponding contralateral value. Physical/functional capacity was assessed from a 12 min treadmill walking test.27 Quality of life was assessed with the Functional Assessment of Cancer Therapy (FACT) physical wellbeing (PWB), functional wellbeing (FWB), BC specific (BCS), endocrine (ESS) and fatigue (FSS) sub scales reported as the trial outcome indicator (TOI) summary scores, e.g. TOI breast cancer (TOI-BC) = PWB + FWB + BCS; TOI endocrine symptoms (TOI-ES) = PWB + FWB + ESS; TOI fatigue (TOI-F) = PWB + FWB + FSS.28
Adherence at 6 and 12 months
Dietary adherence at 6 and 12 months was assessed from seven-day food diaries in all women and analysed using WISP version 3 (Tinuviel Software, Anglesey, Wales) and levels of moderate and vigorous PA were assessed from the Scottish Physical Activity Questionnaire.29
Economic evaluation
Patient-specific costs were estimated for the three trial arms from patient self-reported health care resource use diaries completed every 3 months and hospital records (hospitalisations, medication, outpatient visits, GP services used, etc) up to 12-months post-randomisation. These data were combined with EQ-5D-3L tariffs collected at baseline, 3, 6 and 12 months to estimate cost-utility.30
The three interventions were compared in terms of their mean total costs and Quality Adjusted Life Years (QALYs) and the incremental cost-effectiveness ratios (ICER) were estimated. This describes the incremental change in costs divided by the incremental change in health outcome. The ICER is compared against the cost-effectiveness threshold. This threshold reflects the maximum amount society is willing to pay for an additional unit of health gain. In the UK, the cost-effectiveness threshold lies between £20,000 and £30,000 per QALY.31
Statistics
The sample size of 131 subjects/group was chosen to detect a 3 kg difference in change in body fat measured with DXA (assuming a common SD of 7.6 kg) between the three groups at 12 months with a two-sided significance level of 2% to adjust for multiple testing. The primary analysis was an intention to treat comparison of body fat and weight between the three groups defined at randomisation. Secondary pre-defined analyses compared body fat and weight at 6 and 12 months in the three groups stratified by whether subjects were normal weight or overweight/obese at baseline and receiving or not receiving adjuvant chemotherapy. We also assessed changes in secondary end points (insulin, HOMA, CVD risk markers, QOL, fitness) between the groups.
Outcomes at 6 and 12 months were analysed using analyses of variance regression models (ANCOVA) incorporating baseline measures as covariates. Specific pairwise comparisons between groups were carried out using Scheffe’s multiple comparison tests. The last observation carried forward (LOCF) method was used for missing outcome data. This is a conservative estimate of the ‘non-random’ missing data, as nonattendance at clinic appointments is considered more likely for those who gained weight.
Results
Four hundred and nine women were randomised between August 2008 and February 2011, representing 42% of eligible patients from Wythenshawe Hospital which supplied complete recruitment data as reported previously.32 Women were randomised on average 55 (IQR 39–68) days from the date of their breast surgery.
Sixteen of the control (11.5%), 16 of the home (12%) and 7 of the community group (5%) withdrew from the study due to recurrence of breast cancer (n = 6), other health problems (n = 10), family issues (n = 5), pregnancy (n = 1), request to withdraw (n = 8), patient had died (n = 1) and loss of contact (n = 8) (Fig. 1). At baseline, the three groups were comparable for age, ethnicity, BMI, menopausal status, tumour characteristics, breast surgery, BC treatments and prevalence of co-morbidities, and index of multiple deprivation (Table 1). Fifty-nine percent of the overall cohort were overweight or obese and 41% normal weight. Thirty-eight percent received adjuvant chemotherapy (56% overweight/obese and 44% normal weight). Women who withdrew were of comparable BMI to women who remained in the study, mean (SD) 27.3 (5.5) vs. 27.2 (5.4) kg/m2 P = 0.923, but were significantly younger, 51 (9.0) vs. 55 (10.4) years (P = 0.019) and more likely to be receiving chemotherapy, 13.5% of the chemotherapy group vs. 7.1% of the no chemotherapy group (P = 0.025).
Participation in the home and community group programmes
During the initial 12-week phase of the programmes, women in the home group received mean (interquartile range) 85 (83–100) % of their six scheduled home phone calls and were sent 100% of the mailings, whilst women in the community group attended 64 (50–75)% of the 12 scheduled weekly group classes. Four- and nine-month booster calls were received respectively by 84 and 80% of the home and 83 and 82% of the community groups.
Primary end points: change in weight and body composition
DXA data were analysed from 389 participants; 4 had no DXA scan and 16 had their DXA data omitted as they had bilateral high-density artefacts. At 12 months the home and community groups both significantly reduced weight and body fat whilst these increased in the control group. Weight reduction in the home group compared with controls was mean (95% confidence interval) −2.3 (−3.5, −1.0) kg, and body fat reduction was −1.6 (−2.6, −0.7) kg (Table 2). Weight reduction in the community group compared with controls was −2.4 (−3.6, −1.1) kg, and body fat reduction was −1.4 (−2.4, −0.5) kg (all p < 0.001). There were small but statistically significant reductions in FFM in the home and community groups and a modest increase in the control group. The control group experienced gains in weight and body fat between 6 and 12 months, whilst the home and community groups respectively maintained or had further reductions of weight in this period which was 3–9 months after the initial intensive 12-week programme (Table 2).
Pre-specified subgroup analyses indicated that weight and body composition results differed according to BMI category and whether patients were treated with chemotherapy (Table 3, Fig. 2). Both programmes induced weight loss amongst overweight/obese women who were not receiving chemotherapy, whilst weight was maintained in controls. However, the programmes did not induce weight loss amongst overweight/obese patients who were receiving chemotherapy for whom weight was maintained.
Both programmes prevented weight gain amongst normal-weight women who were not receiving chemotherapy, whilst weight increased in controls. In contrast, the programmes did not prevent weight gain amongst normal-weight women receiving chemotherapy. In this normal weight group, patients receiving chemotherapy gained comparable amounts of weight to the non-chemotherapy patients at 12 months (Table 3, Fig. 2).
Changes in body fat were comparable to changes in weight in these subgroups. Overweight/obese non-chemotherapy patients experienced small reductions in FFM alongside weight loss, whilst FFM was maintained in the overweight/obese chemotherapy group and the chemotherapy and non– chemotherapy normal weight sub groups (Table 3).
Secondary end points
Biochemistry: The community and home groups were similar with respect to weight control but significant reductions in total and LDL cholesterol, systolic blood pressure, serum insulin, HOMA, and triglycerides at 12 months were only detected in the community group (Table 4). The home group had smaller reductions in these parameters which were not significantly different from controls. Distance walked on the 12-minute walk test (a measure of fitness) increased above baseline in all groups. At 6 months the community group had significantly greater increases compared to the controls and home groups. The difference between the groups was attenuated at 12 months.
Quality of life: There were numerical improvements in the scores for QOL (FACT TOI for fatigue, endocrine symptoms and BC) in all three groups at 6 and 12 months. The improvement reached significance using the FACT TOI BC at 6 and 12 months for the community group compared with controls (both p < 0.05) but not the home group compared with controls (Table 4).
Changes in dietary intake and physical activity: All three groups reduced energy intake (Supplementary Table 2). The greatest numerical reductions were reported by the home group; mean (95% CI) difference in the home vs. control group was −153 (−239, −68) kcal/day (P = 0.001) at 6 months and −161 (−261, −61) kcal/day at 12 months (p < 0.001), whilst mean (95% CI) difference in energy intake in the community vs. control group was −82 (−185, + 20) kcal/day at 6 months (P = 0.166) and −107 (−205, −9) kcal/day at 12 months (P = 0.027). Reported levels of PA increased in all three groups over the year (Supplementary Table 2). At 12 months the community group had significantly greater increases compared to the control and home groups; mean (95% CI) difference community vs. control 119 (6, 230) minutes/week (P = 0.035) and mean (95% CI) difference community vs. home group 151 (36 to 265) minutes/week (P = 0.005).
Economic evaluation
Disaggregated and mean total health care costs and mean QALYs of the three interventions are reported in Supplementary Tables 3 and 4. The home group (£7737) and the community group (£7914) had reduced patient costs compared with the control group (£8547) mainly related to decreased usage of medications to treat treatment toxicity, e.g. granulocyte-colony stimulating factor (GCSF) used in chemotherapy patients who had become neutropenic, decreased accident and emergency visits and physiotherapy contacts. The three interventions had equivalent QALY scores of ~0.8. Comparing the difference in costs and difference in effects between the home and community groups gives an incremental cost-effectiveness ratio (ICER) of £9381.45. For a threshold of £20,000 per QALY there is a 52% probability that the community group is cost-effective; this increases to 60% for a £30,000 per QALY threshold (Supplementary Fig. 1).
Discussion
The three-month dietary and PA weight control programmes initiated soon after surgery produced sustained weight reduction in overweight women and prevented weight gain in normal-weight women during the 12 months of the study. Although equally effective for weight control, the community programme was more effective for increasing PA, whilst the home programme appeared more effective for dietary change and reducing energy intake. The greater PA in the community group probably accounts for the greater reductions in insulin, lipids33 and blood pressure,34 and improvements in fitness and QOL.35 Neither programme was effective for inducing weight loss or preventing weight gain amongst patients receiving chemotherapy.
Long term behaviour change is pivotal to the effectiveness of any weight control programme. Beneficial changes in diet and PA behaviours, weight, CVD disease biomarkers, and QOL were observed at 12 months, i.e. 9 months after completion of the initial 3-month phone and community programmes. Some evidence suggests that uptake of interventions and maintenance of behaviours within studies are greater when were commenced nearer to the time of diagnosis compared with those initiated later although there are no randomised trials comparing early versus later interventions.36 Few studies have assessed the maintenance of diet and PA behaviour change and weight loss beyond the end of the intervention.36 The respective maintained and continued weight loss in the home and supervised programmes between 6 and 12 months (i.e. 3–9 months after the intensive 12-week intervention) is an important finding. Both groups did receive minimal ongoing contact via booster calls at 4 and 9 months. This ongoing albeit minimal contact is likely to have contributed to their maintained lifestyle behaviour change. Average weight loss in the overweight/obese non-chemotherapy patients was 3 kg (4%) when assessed 9 months after the end of the active intervention. This compares favourably with reported 12-month weight loss at the end of a 12-month active intervention amongst women who joined the programmes 9–60 months after diagnosis summarised by Chlebowski and Reeves et al. which ranged from 3.7–5 kg (4–5%).10 This level of weight loss may be clinically important for BC patients. A large randomised trial of low-fat dietary intervention (Women’s Intervention Nutrition Study, WINS)37 reported a 24% reduction in relapse where women lost on average 2.3 kg (3%).
Home based home diet and PA programmes have been shown to be equivalent to face to face versions for weight loss amongst BC patients after adjuvant treatment,38 and amongst other patient groups.39,40 Home based mail and web programmes are effective for changing diet and weight, but they only have limited effects on PA as reported here.41 PA increases more within supervised programmes42 as these overcome common barriers including women’s concerns about safety and low self-efficacy for physical activity.43 The independent effects of PA on toxicity44 and possibly BC outcome45 mean that programmes need to impact on PA as well as diet and weight. Future trials should test home based programmes which include initial supervised PA sessions and more intensive self-monitoring and feedback, which have proven to successfully promote PA in home based CVD rehabilitation and heart failure programmes.46,47
Weight gain was observed in the normal weight but not the overweight controls which is consistent with previous reports in the literature.18 The weight control advice was effective for preventing these gains amongst patients who were not receiving chemotherapy. It is important to note that none of the normal-weight patients reduced weight to a BMI of < 18.5 kg/m2 and so did not require weight gain advice.
Chemotherapy patients were keen to enter the programmes, and were equally likely to attend the community sessions or receive calls, but slightly more likely to drop out. Both programmes appeared to confer some benefits to the chemotherapy patients in terms of reduced costs of toxicity related medication (e.g. GCSF) and accident and emergency admissions, but they were ineffective for weight control during chemotherapy and in the post-treatment phase up to 12 months. The limited success of home12,13 and group48 weight control programmes during adjuvant chemotherapy has been reported previously in BC patients, with the exception of an intensive dietary intervention which involved twice-weekly community cookery classes and group meals.49 However, Goodwin et al. reported that women who had previously received chemotherapy achieved comparable successful weight loss to women who had not previously received chemotherapy in a home-based phone weight loss programme initiated at a median of 9 months from diagnosis and at least 1 month after completion of adjuvant chemotherapy.50 Future studies should test modified, more achievable approaches amongst chemotherapy patients, e.g. intermittent energy restriction which is effective for weight loss in the non-cancer setting.51
The combined diet and PA community programme was the most cost-effective. There are few data on the cost-effectiveness of programmes amongst early BC patients.52 Two earlier studies failed to demonstrate the cost-effectiveness of PA only programmes during adjuvant treatments which were home53 or community54 based.
The strengths of this study include random allocation to the three groups, DXA assessment of body composition, and 12 months follow up. We have previously reported the good uptake to the trial and that our cohort is representative of newly diagnosed early-stage BC patients,32 whilst the low drop-out provides reliable follow up data without making assumptions about missing data. We tested 12-week programmes. The optimal length of programme for sustained behaviour change for weight loss is not known. Some guidelines advocate a minimum of 16 contacts over a 6-month period as used in the Diabetes Prevention Programme,55 whilst others advocate a minimum of 12 weeks.56 It is estimated to take 10 weeks to form a habit.57 Both of our groups involved weekly contacts. However, half of the contacts in the home-based group were mailings rather than direct patient contact, hence this group had reduced contact with their allocated dietitian which may have limited the effectiveness of the programme. The reduced effects on physical activity in the home-based group is likely to reflect the home-based modality rather than the level of contact. Poor collective results of home-based PA interventions have been reported amongst patients with BC regardless of the length of intensity of the intervention.58
Limitations include that the sample size may not be sufficiently powered for the subgroup analyses in chemotherapy and non-chemotherapy patients and the use of self-report rather than objective measurements of PA such as accelerometry. Our metrics for assessing adherence were based on retention to the study and attendance to classes and receipt of the calls. Future studies should evaluate more detailed adherence to the diet and PA prescriptions which would give a more meaningful evaluation of engagement with the programmes.
We have shown significant numbers of BC patients are interested and motivated to enter and adhere to home and community-based diet and PA weight control programmes soon after diagnosis. Lifestyle programmes in current oncology practice are mainly focussed at the end of active treatment.59,60 This has been identified as a time of need amongst patients,61 but it means that programmes are initiated after women may have already gained weight as a result of the psychological and physical effects of BC diagnosis and treatment. Research should focus on developing cost-effective interventions for women soon after diagnosis to utilise this potential teachable moment. Such programmes are likely to improve the future health of women affected by BC by reducing future weight-related illness and improving QOL. Ongoing randomised trials62 will inform the potential effectiveness of weight control programmes for improving BC specific outcomes for BC patients long after diagnosis and treatment.
References
Chan, D. S., Vieira, A. R., Aune, D., Bandera, E. V., Greenwood, D. C., McTiernan, A. et al. Body mass index and survival in women with breast cancer-systematic literature review and meta-analysis of 82 follow-up studies. Ann. Oncol. 25, 1901–1914 (2014).
Playdon, M. C., Bracken, M. B., Sanft, T. B., Ligibel, J. A., Harrigan, M. & Irwin, M. L. Weight gain after breast cancer diagnosis and all-cause mortality: systematic review and meta-analysis. J. Natl. Cancer Inst. 107, djv275 (2015).
Nechuta, S., Chen, W. Y., Cai, H., Poole, E. M., Kwan, M. L., Flatt, S. W. et al. A pooled analysis of post-diagnosis lifestyle factors in association with late estrogen-receptor-positive breast cancer prognosis. Int. J. Cancer 138, 2088–2097 (2016).
Mutschler, N. S., Scholz, C., Friedl, T. W. P., Zwingers, T., Fasching, P. A., Beckmann, M. W. et al. Prognostic impact of weight change during adjuvant chemotherapy in patients with high-risk early breast cancer: results from the ADEBAR study. Clin. Breast Cancer 18, 175–183 (2018).
Guenancia C., Lefebvre A., Cardinale D., Yu A. F., Ladoire S., Ghiringhelli F. et al. Obesity as a risk factor for anthracyclines and trastuzumab cardiotoxicity in breast cancer: a systematic review and meta-analysis. J. Clin. Oncol. 34, 3157–3165 (2016).
Su, H. I., Sammel, M. D., Springer, E., Freeman, E. W., DeMichele, A. & Mao, J. J. Weight gain is associated with increased risk of hot flashes in breast cancer survivors on aromatase inhibitors. Breast Cancer Res. Treat. 124, 205–211 (2010).
Phillips, S. M. & McAuley, E. Associations between self-reported post-diagnosis physical activity changes, body weight changes, and psychosocial well-being in breast cancer survivors. Support Care Cancer 23, 159–167 (2015).
Caan, B. J., Kwan, M. L., Hartzell, G., Castillo, A., Slattery, M. L., Sternfeld, B. et al. Pre-diagnosis body mass index, post-diagnosis weight change, and prognosis among women with early stage breast cancer. Cancer Causes Control 19, 1319–1328 (2008).
Renehan, A. G., Harvie, M., Cutress, R. I., Leitzmann, M., Pischon, T., Howell, S. et al. How to manage the obese patient with cancer. J. Clin. Oncol. 34, 4284–4294 (2016).
Reeves, M. M., Terranova, C. O., Eakin, E. G. & Demark-Wahnefried, W. Weight loss intervention trials in women with breast cancer: a systematic review. Obes. Rev. 15, 749–768 (2014).
Playdon, M., Thomas, G., Sanft, T., Harrigan, M., Ligibel, J. & Irwin, M. Weight loss intervention for breast cancer survivors: a systematic review. Curr. Breast Cancer Rep 5, 222–246 (2013).
Demark-Wahnefried, W., Case, L. D., Blackwell, K., Marcom, P. K., Kraus, W., Aziz, N. et al. Results of a diet/exercise feasibility trial to prevent adverse body composition change in breast cancer patients on adjuvant chemotherapy. Clin. Breast Cancer 8, 70–79 (2008).
Djuric, Z., Ellsworth, J. S., Weldon, A. L., Ren, J., Richardson, C. R., Resnicow, K. et al. A diet and exercise intervention during chemotherapy for breast cancer. Open Obes. J. 3, 87–97 (2011).
Villarini, A., Pasanisi, P., Raimondi, M., Gargano, G., Bruno, E., Morelli, D. et al. Preventing weight gain during adjuvant chemotherapy for breast cancer: a dietary intervention study. Breast Cancer Res. Treat. 135, 581–589 (2012).
James, F. R., Wootton, S., Jackson, A., Wiseman, M., Copson, E. R. & Cutress, R. I. Obesity in breast cancer-what is the risk factor? Eur. J. Cancer. 51, 705–720 (2015).
Liu, L. N., Lin, Y. C., Miaskowski, C., Chen, S. C. & Chen, M. L. Association between changes in body fat and disease progression after breast cancer surgery is moderated by menopausal status. BMC Cancer 17, 863 (2017).
Caan, B. J., Cespedes Feliciano, E. M., Prado, C. M., Alexeeff, S., Kroenke, C. H., Bradshaw, P. et al. Association of muscle and adiposity measured by computed tomography with survival in patients with nonmetastatic breast cancer. JAMA Oncol. 4, 798–804 (2018).
Makari-Judson, G., Braun, B., Jerry, D. J. & Mertens, W. C. Weight gain following breast cancer diagnosis: implication and proposed mechanisms. World J. Clin. Oncol. 5, 272–282 (2014).
Bluethmann S. M., Basen-Engquist K., Vernon S. W., Cox M., Gabriel K. P., Stansberry S. A. et al. Grasping the ‘teachable moment’: time since diagnosis, symptom burden and health behaviors in breast, colorectal and prostate cancer survivors. Psychooncology 10, 1250–1257 (2015).
Demark-Wahnefried, W., Aziz, N. M., Rowland, J. H. & Pinto, B. M. Riding the crest of the teachable moment: promoting long-term health after the diagnosis of cancer. J. Clin. Oncol. 23, 5814–5830 (2005).
Harvie, M. N., Pegington, M., Mattson, M. P., Frystyk, J., Dillon, B., Evans, G. et al. The effects of intermittent or continuous energy restriction on weight loss and metabolic disease risk markers: a randomized trial in young overweight women. Int. J. Obes. (Lond) 35, 714–727 (2011).
Harvie, M., Wright, C., Pegington, M., McMullan, D., Mitchell, E., Martin, B. et al. The effect of intermittent energy and carbohydrate restriction v. daily energy restriction on weight loss and metabolic disease risk markers in overweight women. Br. J. Nutr. 110, 1534–1547 (2013).
Campbell, A., Stevinson, C. & Crank, H. The BASES expert statement on exercise and cancer survivorship. J. Sports. Sci. 30, 949–952 (2012).
Borg G. Borg’s perceived exertion and pain scales. Human Kinetics, Illinois, USA, 1998
Michie, S., Ashford, S., Sniehotta, F. F., Dombrowski, S. U., Bishop, A. & French, D. P. A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: the CALO-RE taxonomy. Psychol. Health 26, 1479–1498 (2011).
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F. & Turner, R. C. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28, 412–419 (1985).
Stevens, D., Elpern, E., Sharma, K., Szidon, P., Ankin, M. & Kesten, S. Comparison of hallway and treadmill six-minute walk tests. Am. J. Respir. Crit. Care Med. 160(5 Pt 1), 1540–1543 (1999).
Brady, M. J., Cella, D. F., Mo, F., Bonomi, A. E., Tulsky, D. S., Lloyd, S. R. et al. Reliability and validity of the functional assessment of cancer therapy-breast quality-of-life instrument. J. Clin. Oncol. 15, 974–986 (1997).
Lowther, M., Mutrie, N., Loughlan, C. & McFarlane, C. Development of a Scottish physical activity questionnaire: a tool for use in physical activity interventions. Br. J. Sports Med. 33, 244–249 (1999).
Dolan, P., Gudex, C., Kind, P. & Williams, A. The time trade-off method: results from a general population study. Health Econ. 5, 141–154 (1996).
Devlin, N. & Parkin, D. Does NICE have a cost-effectiveness threshold and what other factors influence its decisions? A binary choice analysis. Health Econ. 13, 437–452 (2004).
Pegington M., Adams J. E., Bundred N. J., Campbell A. M., Howell A., Howell S. J. et al. Recruitment to the “Breast-Activity and Healthy Eating After Diagnosis” (B-AHEAD) Randomized Controlled Trial. Integr. Cancer. Ther. 17, 131–137 (2017).
Clark, J. E. Diet, exercise or diet with exercise: comparing the effectiveness of treatment options for weight-loss and changes in fitness for adults (18-65 years old) who are overfat, or obese; systematic review and meta-analysis. J. Diabetes Metab. Disord. 14, 31 (2015).
Bacon, S. L., Sherwood, A., Hinderliter, A. & Blumenthal, J. A. Effects of exercise, diet and weight loss on high blood pressure. Sports Med. 34, 307–316 (2004).
van Gemert, W. A., van der Palen, J., Monninkhof, E. M., Rozeboom, A., Peters, R., Wittink, H. et al. Quality of life after diet or exercise-induced weight loss in overweight to obese postmenopausal women: the SHAPE-2 randomised controlled trial. PLoS ONE 10, e0127520 (2015).
Spark, L. C., Reeves, M. M., Fjeldsoe, B. S. & Eakin, E. G. Physical activity and/or dietary interventions in breast cancer survivors: a systematic review of the maintenance of outcomes. J. Cancer Surviv. 7, 74–82 (2013).
Chlebowski, R. T., Blackburn, G. L., Thomson, C. A., Nixon, D. W., Shapiro, A., Hoy, M. K. et al. Dietary fat reduction and breast cancer outcome: interim efficacy results from the Women’s Intervention Nutrition Study. J. Natl. Cancer Inst. 98, 1767–1776 (2006).
Harrigan, M., Cartmel, B., Loftfield, E., Sanft, T., Chagpar, A. B., Zhou, Y. et al. Randomized trial comparing telephone versus in-person weight loss counseling on body composition and circulating biomarkers in women treated for breast cancer: the lifestyle, exercise, and nutrition (LEAN) study. J. Clin. Oncol. 34, 669–676 (2016).
Joiner, K. L., Nam, S. & Whittemore, R. Lifestyle interventions based on the diabetes prevention program delivered via eHealth: A systematic review and meta-analysis. Prev. Med. 100, 194–207 (2017).
Dutton, G. R., Laitner, M. H. & Perri, M. G. Lifestyle interventions for cardiovascular disease risk reduction: a systematic review of the effects of diet composition, food provision, and treatment modality on weight loss. Curr. Atheroscler. Rep. 16, 442 (2014).
Goode, A. D., Lawler, S. P., Brakenridge, C. L., Reeves, M. M. & Eakin, E. G. Telephone, print, and web-based interventions for physical activity, diet, and weight control among cancer survivors: a systematic review. J. Cancer. Surviv. 9, 660–682 (2015).
van, W. H., Stuiver, M. M., van Harten, W. H., Geleijn, E., Kieffer, J. M., Buffart, L. M. et al. Effect of low-intensity physical activity and moderate- to high-intensity physical exercise during adjuvant chemotherapy on physical fitness, fatigue, and chemotherapy completion rates: results of the PACES randomized clinical trial. J. Clin. Oncol. 33, 1918–1927 (2015).
Henriksson, A., Arving, C., Johansson, B., Igelstrom, H. & Nordin, K. Perceived barriers to and facilitators of being physically active during adjuvant cancer treatment. Patient. Educ. Couns. 99, 1220–1226 (2016).
Lipsett, A., Barrett, S., Haruna, F., Mustian, K. & O’Donovan, A. The impact of exercise during adjuvant radiotherapy for breast cancer on fatigue and quality of life: A systematic review and meta-analysis. Breast 32, 144–155 (2017).
Lahart, I. M., Metsios, G. S., Nevill, A. M. & Carmichael, A. R. Physical activity, risk of death and recurrence in breast cancer survivors: a systematic review and meta-analysis of epidemiological studies. Acta. Oncol. 54, 635–654 (2015).
Anderson, L., Sharp, G. A., Norton, R. J., Dalal, H., Dean, S. G., Jolly, K. et al. Home-based versus centre-based cardiac rehabilitation. Cochrane Database Syst. Rev. 6, CD007130 (2017).
Back, M., Jivegard, L., Johansson, A., Nordanstig, J., Svanberg, T., Adania, U. W. et al. Home-based supervised exercise versus hospital-based supervised exercise or unsupervised walk advice as treatment for intermittent claudication: a systematic review. J. Rehabil. Med. 47, 801–808 (2015).
Goodwin, P., Esplen, M. J., Butler, K., Winocur, J., Pritchard, K., Brazel, S. et al. Multidisciplinary weight management in locoregional breast cancer: results of a phase II study. Breast Cancer Res. Treat. 48, 53–64 (1998).
Villarini, A., Pasanisi, P., Raimondi, M., Gargano, G., Bruno, E., Morelli, D. et al. Preventing weight gain during adjuvant chemotherapy for breast cancer: a dietary intervention study. Breast Cancer Res. Treat. 135, 581–589 (2012).
Goodwin, P. J., Segal, R. J., Vallis, M., Ligibel, J. A., Pond, G. R., Robidoux, A. et al. Randomized trial of a telephone-based weight loss intervention in postmenopausal women with breast cancer receiving letrozole: the LISA trial. J. Clin. Oncol. 32, 2231–2239 (2014).
Harvie M., Howell A. Potential benefits and harms of intermittent energy restriction and intermittent fasting amongst obese, overweight and normal weight subjects—a narrative review of human and animal evidence. Behav. Sci. (Basel) 7, 1–22 (2017).
Cheng, K. K. F., Lim, Y. T. E., Koh, Z. M. & Tam, W. W. S. Home-based multidimensional survivorship programmes for breast cancer survivors. Cochrane Database Syst. Rev. 8, CD011152 (2017).
Haines, T. P., Sinnamon, P., Wetzig, N. G., Lehman, M., Walpole, E., Pratt, T. et al. Multimodal exercise improves quality of life of women being treated for breast cancer, but at what cost? Randomized trial with economic evaluation. Breast Cancer Res. Treat. 124, 163–175 (2010).
May, A. M., Bosch, M. J., Velthuis, M. J., van der Wall, E., Steins Bisschop, C. N., Los, M. et al. Cost-effectiveness analysis of an 18-week exercise programme for patients with breast and colon cancer undergoing adjuvant chemotherapy: the randomised PACT study. BMJ Open 7, e012187 (2017).
Jensen, M. D., Ryan, D. H., Apovian, C. M. et al. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society. Circulation 129, S102–S138 (2014).
NICE. Obesity: identification, assessment and management Clinical guideline [CG189. National Institute of Clinical Excellence [serial online] 2014; Accessed 28.3.2019.
Gardner, B., Lally, P. & Wardle, J. Making health habitual: the psychology of ‘habit-formation’ and general practice. Br. J. Gen. Pract. 62, 664–666 (2012).
Groen, W. G., van Harten, W. H. & Vallance, J. K. Systematic review and meta-analysis of distance-based physical activity interventions for cancer survivors (2013-2018): We still haven’t found what we’re looking for. Cancer Treat. Rev. 69, 188–203 (2018).
Stricker, C. T. & O’Brien, M. Implementing the commission on cancer standards for survivorship care plans. Clin. J. Oncol. Nurs. 18(Suppl), 15–22 (2014).
Department of Health. Living With and Beyond Cancer: Taking Action to Improve Outcomes. 2-3-2013. 7-1-2016.
Maria Hewitt, Sheldon Greenfield, and Ellen Stovall, (eds). From cancer patient to cancer survivor: Lost in transition Committee on Cancer Survivorship: Improving Care and Quality of Life The National Academies Press Washington, D.C.
Goodwin, P. J. Obesity and breast cancer outcomes: how much evidence is needed to change practice? J. Clin. Oncol. 34, 646–648 (2016).
Acknowledgements
We thank the participants and the research teams in the recruiting centres.
Author information
Authors and Affiliations
Contributions
M.H., A.H., N.B., J.W., A.C., and J.M. were involved in the design of the study. M.H., M.P., D.M., K.L., J.A., and J.W. performed data acquisition. J.M., M.H., D.M., M.P., S.H., and A.H. were involved in the statistical analysis and interpretation of data. N.B. enrolled patients. J.W., H.C., and E.L. undertook the health economic analysis. J.A. performed the interpretation of the radiological images. M.H., J.W., and J.A. wrote the draft manuscript. A.H. and M.P. helped with the manuscript editing. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Ethics approval and consent to participate
The study was approved by the North West 8 Research Ethics Committee—Greater Manchester East, reference 08/H1013/45. Informed consent was obtained from all subjects and the study was performed in accordance with the Declaration of Helsinki.
Funding
This project was funded by the NIHR RFPB (PB-PG-0407-12313) and Prevent Breast Cancer Limited (Registered Charity Number: 1109839, award GA08-006) and supported by the NIHR Manchester Biomedical Research Centre (IS-BRC-1215-20007). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.
Consent to publish
Not applicable.
Data availability
All datasets used and analysed during the current study are available from the corresponding author on reasonable request.
Note
This work is published under the standard license to publish agreement. After 12 months the work will become freely available and the license terms will switch to a Creative Commons Attribution 4.0 International (CC BY 4.0).
Additional information
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Harvie, M., Pegington, M., McMullan, D. et al. The effectiveness of home versus community-based weight control programmes initiated soon after breast cancer diagnosis: a randomised controlled trial. Br J Cancer 121, 443–454 (2019). https://doi.org/10.1038/s41416-019-0522-6
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41416-019-0522-6
This article is cited by
-
Mediterranean-style dietary interventions in adults with cancer: a systematic review of the methodological approaches, feasibility, and preliminary efficacy
European Journal of Clinical Nutrition (2024)
-
BE-WEL trial (breast: evaluation of weight and exercise for lymphoedema) testing weight control and exercise programmes for women with breast cancer related lymphoedema: a feasibility trial
Breast Cancer Research and Treatment (2024)
-
Lifestyle interventions with dietary strategies after breast cancer diagnosis: a systematic review
Breast Cancer Research and Treatment (2024)
-
Ovarian Suppression: Early Menopause and Late Effects
Current Treatment Options in Oncology (2024)
-
Effects of a 12-week exercise-based intervention on weight management in overweight or obese breast cancer survivors: a randomized controlled trial
Supportive Care in Cancer (2024)