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Prevalence of and attitudes towards complementary therapy use for weight after breast cancer in Australia: a national survey

  • Carolyn EeEmail author
  • Adele Elizabeth Cave
  • Dhevaksha Naidoo
  • John Boyages
Open Access
Research article
Part of the following topical collections:
  1. Patterns of use, knowledge and attitudes

Abstract

Background

Weight gain is common after breast cancer (BC) treatment and may increase the risk of disease recurrence. Complementary medicine (CM) use is high amongst BC patients. This paper describes the use of CM from a cross-sectional self-administered survey on prevalence and management of weight after BC.

Methods

Use of CM was assessed using a question modified from the I-CAM Questionnaire. Participants were asked to rate perceived effectiveness, advantages and disadvantages, and which CM they were willing to use for weight management if there was evidence for effectiveness. The survey was emailed to members of the Breast Cancer Network Australia Survey and Review Group, the largest consumer advocacy group in Australia for people with breast cancer.

Results

There were a total of 309 responses. Three quarters had used CM in the past 12 months. One third had tried CM for weight loss. Yoga, meditation and pilates were perceived to be effective for weight loss. Perceived advantages of CMs for weight loss were the ability to improve general wellbeing, relaxation, and being non-pharmacological while disadvantages were financial cost, finding a reliable practitioner, and lack of research for effectiveness. Three quarters would be willing to try CM for weight loss if there was evidence for effectiveness, with the most popular CMs being acupuncture, relaxation, yoga, supplements, and meditation.

Conclusions

The high use of CM in this group is consistent with previous research. Our research suggests that BC survivors would use acupuncture, meditation, supplements and yoga for weight loss if supported by scientifically-credible evidence. Research into the effectiveness of these treatments on weight loss after BC is warranted.

Keywords

Breast cancer DCIS Complementary medicine Overweight Obesity Weight gain Australian women National survey Prevalence 

Abbreviations

BC

Breast Cancer

BCNA

Breast Cancer Network Australia

BMI

Body Mass Index

CM

Complementary Medicine

DCIS

Ductal Carcinoma In Situ

GP

General Practitioner

Background

Complementary medicine (CM) or complementary therapies refer to ‘a group of diverse medical and healthcare systems, practices and products that are not generally considered part of conventional medicine’ [1]. In this paper, the terms “complementary medicine”, “complementary therapies” and “complementary and alternative medicine” are used synonymously. Boundaries within CM and between the CM domain and that of the dominant system are not always clearly defined or fixed [2]. Women with breast cancer (BC) are the most likely group to use CM out of all cancer patients [3] with CM use reportedly as high as 75% [4]. Patients with breast cancer using CM are mostly younger and more highly educated than non-CM users in the majority of studies. Some studies have also shown that women with breast cancer using CM had higher income than those who did not [3]. An association between CM use and more advanced breast cancer at diagnosis has also been found [5].

Weight gain is common after a breast cancer diagnosis and may increase the risk of disease recurrence and all-cause mortality, increase the burden of chronic disease from obesity-related disorders such as cardiovascular disease and diabetes, and have a significantly negative impact on quality of life [6]. Weight gain after a BC diagnosis is thought to be multifactorial and related to the use of systemic treatment as well as changes in lifestyle [6, 7]. There is emerging evidence for the use of some CM to assist weight loss in the general population. However, little is known about the use of CM for weight loss amongst women with BC, making it important to understand patterns and drivers of use of CM amongst women with BC.

The aim of this national survey was to describe the use of CM for weight management after BC in Australian women.

Methods

Study design and inclusion criteria

We conducted a cross-sectional self-administered anonymous survey using Qualtrics online survey software [8]. Any woman living in Australia who self-identified as having BC was eligible to complete the survey. We recruited mainly from the Breast Cancer Network Australia (BCNA) Review and Survey Group (n = 1857), representing approximately 2% of all BCNA members, who had agreed to receive emails about research studies. BCNA is the largest breast cancer advocacy group in Australia, and their Review and Survey Group is one of the largest breast cancer consumer groups available for research, representing an important source of feedback for the research community. By limiting research at BCNA to the Review and Survey group, researchers have access to women who are engaged in the research process, while the remainder of BCNA members are protected from frequent research requests. We also recruited through other online communities (women’s health organization social media pages and online breast cancer support groups in Australia).

The survey was emailed on December 5th, 2017 and a reminder email was sent to 1835 members on January 15th, 2018 (Appendix). Ethics approval was provided by the Human Research Ethics Committee, Western Sydney University (H12444, Oct 2017).

Survey instrument

This study is drawn from a larger study exploring the prevalence, predictors and management of weight after breast cancer amongst women in Australia (Ee C, Cave A, Naidoo D, Boyages J. Weight before and after a diagnosis of breast cancer or Ductal Carcinoma In Situ: a national Australian survey/under review). The survey was developed after reviewing previous literature on weight after breast cancer and was later revised to include feedback from six BCNA representatives and several health researchers. The 60-item survey included questions on the sociodemographic characteristics, medical details such as diagnosis and treatment, lifestyle habits, and weight and weight management of women (see Appendix for further details). In this paper, we report on complementary therapy use for any condition and for weight management. Further analyses from our data will include predictors of weight gain in our sample, but are not reported in this manuscript.

Weight after diagnosis

Women were asked to self-report their weight in kilograms (kg) at the time of diagnosis, and current weight and height (in meters). Body Mass Index (BMI) was calculated from weight and height as weight/height2 and reported in kg/m2. BMI was classified as underweight (< 20 kg), healthy weight (BMI ≥ 20 and < 25), overweight (BMI ≥ 25 and < 30) and obese (BMI ≥ 30) [9]. The pattern of weight since diagnosis was also assessed as “gained weight overall”, “lost weight overall”, “weight stable” or “weight has fluctuated a great deal”. Weight at diagnosis was reported by 90% of total respondents (277 women) and current weight by 95% of respondents (293 women).

Complementary therapies

Women were asked about their use of CM for any condition, and also specifically for weight loss, in the past 12 months. This question was modified from the International Questionnaire to Measure.

Use of Complementary and Alternative Medicine (I-CAM Questionnaire) [10] which is culture-neutral and does not promote one modality over another although we have slightly modified the terminology to suit an Australian population [10]. CM use is divided into visits to complementary therapists (e.g. acupuncturists, chiropractors), use of herbal medicine and dietary supplements (defined as vitamins, minerals, herbs and antioxidants), and of self-help practices (e.g. yoga). Participants were asked to rate the perceived usefulness of chosen CM by selecting one option on a 7- point Likert scale ranging from ‘strongly agree’ to ‘strongly disagree’, in response to the statement “I found this therapy to be effective for my condition and/or helpful for me overall” or “I found this therapy to be effective in helping me manage my weight”. We further trichomotised the responses into ‘strongly agree/agree (effective)’, ‘somewhat agree/neither agree nor disagree (neutral)’, and ‘somewhat disagree, disagree, strongly disagree (not effective)’.

Data on visits to conventional health practitioners (general practitioner/primary care physician, oncologist, allied health) over the past 12 months were also collected. Finally, we asked women about the perceived advantages and disadvantages of using CM for weight management and which CM they were willing to use for weight management if there was research evidence to demonstrate effectiveness. Women were given a selection of responses to choose from and could also provide free text answers for additional comment.

Statistical analysis

IBM SPSS statistics package version 23 [11] and Stata statistical software [12] were used to analyse the data presented in this report. We used descriptive statistics to present the majority of the data, and Pearson’s chi-square to identify associations between weight gain and CM use, and advanced breast cancer (metastatic or inflammatory) and CM use. To explore differences in demographic characteristics between respondents who were from the BCNA Review and Survey group vs non BCNA respondents, we used Pearson’s chi-square, linear regression and independent samples t-tests.

Results

Survey response

Of the 1857 BCNA members, 283 (15%) responded to the survey. A further 26 women responded to the survey from other channels giving a total of 309 responses.

Sample characteristics

Demographic and clinical characteristics of respondents are described in Table 1. The majority of women were Caucasian (92.5%, n = 285) with a mean age of 59.1 years (SD = 9.5, range 33–78, n = 298). Characteristics were similar across BCNA members and non-BCNA respondents except that there was a higher proportion of women in the non-BCNA group who were self-employed (23% vs 10%) and in the BCNA group who were retired (33% vs 23%), however this difference was not statistically significant on Pearson’s chi-square testing, X2 (7,N = 307) = 6.9912, p = 0.430. There was also no statistically significant correlation between age and type of employment apart from doing voluntary work (p = 0.05), and no difference in age between BCNA and non-BCNA respondents (p = 0.0759). The majority of women (82%, n = 252) had been diagnosed with non-metastatic BC. The mean time since diagnosis of BC was 8.2 years (SD 5.12, range 1–32 years) and mean age at diagnosis was 50.9 years (SD = 9.02, range 29–74). The majority of women were diagnosed either Ductal Carcinoma in Situ or localized breast cancer. There was no association between more advanced cancer and use of any complementary medicine, X2 (1, N = 289) = 2.1218, p = 0.145.
Table 1

Demographic and clinical characteristics of survey respondents

 

Description

N (responses)

Percentage

State (n = 309)

 

Australian Capital Territory

14

4.53%

 

New South Wales

91

29.45%

 

Northern Territory

0

0.00%

 

Queensland

48

15.54%

 

South Australia

28

9.06%

 

Tasmania

3

0.97%

 

Victoria

95

30.74%

 

Western Australia

30

9.71%

Education (n = 307)

 

High school- year 10

30

9.77%

 

High school- year 12

35

11.40%

 

Vocational College

55

17.91%

 

Bachelor’s degree

90

29.32%

 

Postgraduate degree

97

31.60%

Ethnicity (n = 308)

 

European/Anglo Saxon/Caucasian

285

92.53%

 

Asian

5

1.62%

 

Oceanic (incl. Australian and New Zealand first peoples, Polynesian and Micronesian)

13

4.22%

 

North/South/Central American

2

0.65%

 

Mixed ethnicity

2

0.65%

 

Indian

1

0.33%

Employment (n = 308)

 

Employee

140

45.46%

 

Self-employed

33

10.71%

 

Home duties/caring for children or family

15

4.87%

 

In education (going to school, university, etc.)

4

1.30%

 

Doing voluntary work

10

3.25%

 

Unable to work because of illness

6

1.95%

 

Unable to work for other reasons

1

0.32%

 

Retired

99

32.14%

Relationship Status (n = 309)

 

Single

39

12.62%

 

Married/De Facto (living with partner)

230

74.43%

 

In a relationship but not living with partner

7

2.27%

 

Divorced/separated

24

7.77%

 

Widowed

9

2.91%

Diagnoses (n = 308)

 

Ductal Carcinoma In Situ (DCIS)

33

10.71%

 

Localised breast cancer

252

81.82%

 

Metastatic breast cancer

14

4.55%

 

Inflammatory breast cancer

2

0.65%

 

Other including second primary

7

2.27%

Weight change

Mean BMI at time of diagnosis was 26.23 kg/m2 (n = 270, SD 5.43) and at time of survey was 28.02 (n = 285, SD 5.88). Just under half of women (48.5%) were overweight or obese at time of diagnosis, but by the time of the survey this proportion had risen to 67.3%. This increase was most marked for women who were obese, from 17.04% at diagnosis to 31.93% at the time of the survey. The majority of respondents (63.70%) reported they had gained weight overall after diagnosis. Of the women who reported gaining weight overall and for whom we had complete weight data (n = 175), average weight gain was 9.07 kg.

Complementary therapy use for any health condition

Figure 1 describes reported CM use for any health condition and associated perceived effectiveness, and Table 2 describes reasons for CM use and information sources. About three quarters of women (201 or 73.4%) had used a CM for any health condition in the past 12 months. The top five CMs used to treat any health condition were relaxation techniques, yoga, meditation, prayer and massage. The top three reasons for CM use were to improve general physical wellbeing (80% of CM users), reduce stress/improve psychological wellbeing (62% of CM users), and to treat a condition unrelated to cancer (37% of CM users). The treatments that women found most effective were massage, yoga, meditation, acupuncture, and relaxation with more than 50% of women who had used these therapies strongly agreeing or agreeing that the treatments had been effective. Most women sought information on CM from friends and family, followed by complementary therapists, the internet, GPs, and specialists. There was no association between CM use and whether women had gained > 5% of weight overall or had maintained a stable weight, X2 (1, N = 277) = 0.2017, p = 0.653.
Fig. 1

Complementary therapy use for any condition, and perceived effectiveness

Table 2

Complementary therapy use: Reasons and information sources

 

Description

Number

Percent

Reasons for CM use (n = 201)

 

Improve physical wellbeing

159

79.10%

 

Stress management/improve psychological wellbeing

124

61.69%

 

Improve a non-cancer related symptom or condition

75

37.31%

 

Improve a side effect related to cancer treatment

51

25.37%

 

Boost immune system

40

19.90%

 

Prevent recurrence

39

19.40%

 

Improve a cancer-related symptom

29

14.43%

Source of CM information (n = 184)

 

Friend/family

70

38.04%

 

Complementary therapist

48

26.09%

 

Internet

46

25.00%

 

GP

43

23.37%

 

Specialist

28

15.22%

 

Media (TV, newspapers, magazines, radio)

23

12.50%

 

Nurse

8

4.35%

 

Social media

8

4.35%

 

Pharmacist

2

1.09%

CM=Complementary medicine

Complementary therapy use for weight loss

Figure 2 describes the number of women who had tried a CM for weight loss, and perceived effectiveness. A small number (n = 85, or 31% who completed the entire survey) of women had tried CM in the last 12 months for weight loss. The most popular therapies were supplements, yoga, relaxation techniques, massage and meditation. More than 40% of women who had tried yoga, meditation or pilates agreed or strongly agreed it had been helpful in relation to weight loss, however the majority of women felt neutral about the effectiveness of the therapies they had tried. Table 3 describes the perceived advantages and disadvantages of using CM for weight management. The most commonly selected perceived advantages of using CMs for weight loss were the ability to improve general wellbeing, relaxation, and being non-pharmacological. The major disadvantages reported were financial cost, finding a reliable practitioner, and lack of research for effectiveness.
Fig. 2

Complementary therapy use for weight loss, and perceived effectiveness

Table 3

Perceived advantages and disadvantages of using complementary therapies for weight management

 

Description

Number

Percent

Perceived advantages of CM use (n = 183)

 

Improves general wellbeing

139

75.96%

 

Reduces stress/is relaxing

105

57.38%

 

Not needing to use drugs/medication

101

55.19%

 

Can treat other symptoms at the same time

64

34.97%

 

Holistic approach

57

31.15%

 

Non-surgical/not needing to have an operation

56

30.60%

 

Agree with the philosophy behind the therapy

37

20.22%

 

Already using it

18

9.84%

Perceived disadvantages of CM use (n = 214)

 

Financial cost

128

59.81%

 

Lack of research to show it is effective

124

57.94%

 

Finding a reliable practitioner

99

46.26%

 

Interactions with medications

58

27.10%

 

Cannot find reliable information

53

24.77%

 

Time commitment

37

17.29%

 

Side effects of treatment

14

6.54%

 

My GP/specialist does not support its use

13

6.07%

 

Don’t work/don’t trust

3

1.40%

 

Unsure

2

0.93%

 

Motivation to continue

1

0.47%

 

Too many treatments already

1

0.47%

 

Goes against my beliefs

1

0.47%

GP=General Practitioner/family physician/primary care physician

When asked which therapies they would try if there was research to demonstrate effectiveness for weight loss, almost half of women indicated they would be willing to try acupuncture/acupressure, followed by relaxation techniques, yoga, supplements, and meditation (Fig. 3). Overall, around three quarters of respondents (237 women) would be willing to try a CM for weight loss if there was demonstrated scientific evidence for its effectiveness.
Fig. 3

Complementary therapies that respondents would be willing to try if effective for weight loss

Discussion

In our survey, we found high rates of CM use for any condition, but lower rates of use for weight management, with limited perceived effectiveness of the therapies that had been tried. Women in our survey cited barriers to use of CM for weight management after BC including lack of research for effectiveness. However, CM was seen to be advantageous in improving general wellbeing, providing relaxation, and being non-pharmacological. Three quarters of women would consider a CM if there was evidence for effectiveness (particularly, acupuncture/acupressure, relaxation techniques, yoga, supplements, and meditation).

Almost three quarters of women in our sample had used a CM in the preceding 12 months. This is consistent with evidence from a recent systematic review reporting prevalence of up to 87% in Australia [3]. CM users in our sample cited reasons for use such as improving general physical wellbeing, reducing stress/improving psychological wellbeing and treating conditions unrelated to cancer. Similarly, in another survey, BC survivors use CMs to “help healing, to promote emotional health, and to cure cancer” [3]. The most recent survey conducted in Australia on CM use in BC survivors reported women believed that CMs improved their wellbeing, boosted their immune system, reduced side effects of treatments, reduced symptoms of cancer, treated the cancer, and prevented recurrence [13]. Cancer patients mostly report using CM in an adjunctive manner, e.g. to improve overall general health and wellbeing [14] or to minimize adverse effects from conventional treatment and to prevent further illness [15]. Collectively, these data suggest that women with BC seek a range of therapeutic options to optimize all aspects of their health and wellbeing in a holistic manner, particularly to improve psychological wellbeing.

In our sample, the most commonly used CMs for any reason were nutraceutical supplements, massage, meditation and yoga which is consistent with what is reported in the literature [3]. Some studies specifically reported whole medical systems such as naturopathic or traditional Chinese medicine most commonly used by BC patients [16, 17]. Of interest, although nutraceutical supplements were the most commonly used therapy, about half of women perceived their effectiveness to be neutral. The therapies with the highest perceived effectiveness included massage, acupuncture/acupressure, relaxation techniques and yoga.

A smaller proportion (31%) of women had used CM for weight management. In non-cancer populations, studies suggest that up to 70% of people with obesity use CM [18, 19] particularly if they are female [18]. People with metabolic syndrome are also higher users of CM [19] compared to people without metabolic syndrome. However, it is unclear if the high use of CM in people without obesity indicates use specifically for weight management, or if CM are used for other reasons [18, 19]. We could not find any literature describing the prevalence of use of CM for weight management in BC survivors. The therapies were mostly perceived as neutral in terms of effectiveness, with the exception of yoga and meditation, which greater than 40% of our sample thought were effective treatments.

One of the most commonly cited barriers to using CM in our study was the perceived lack of evidence for effectiveness. Similarly, in a qualitative study, the most common reason given for deciding not to use CM amongst cancer survivors was a lack of meaningful information regarding safety and efficacy [15]. However, around three quarters of women in our sample indicated that they would try a CM to assist with weight management should there be sufficient evidence demonstrating effectiveness. The most commonly cited CM that would be chosen in this situation was acupuncture/acupressure, with around half of women willing to trial these modalities, followed by relaxation techniques, yoga, supplements, and meditation. Indeed, acupuncture shows promise in the treatment of obesity and overweight in general populations. A recent meta-analysis reported that acupuncture, in particular auricular acupuncture and electro-acupuncture, was more efficacious than sham acupuncture for reducing BMI (MD − 0.47 kg/m2) as well as body fat mass (MD − 0.66 kg), waist circumference (MD − 2.02 cm) and hip circumference (MD − 2.74 cm) but not for reducing body weight overall [20]. Mechanistic studies have suggested multiple responses to acupuncture including appetite suppression [21, 22], modulation of leptin and ghrelin [23, 24, 25] and improved insulin sensitivity [26, 27, 28, 29, 30, 31]. Further, acupuncture may alleviate co-morbid anxiety symptoms in people with obesity [23, 32, 33]. Given that acupuncture is a relatively safe treatment [34, 35, 36] and may have additional benefits in women with BC including relief of chemotherapy-induced peripheral neuropathy [37], aromatase-inhibitor induced arthralgia [38, 39], menopausal symptoms [40] and lymphoedema [41], it may represent a useful adjunctive therapy that can assist women in managing a number of bothersome symptoms and manage weight. To the best of our knowledge, there are no studies examining the effectiveness of acupuncture for weight loss in women with BC, and such research appears warranted.

Women in our sample were also willing to trial meditation, yoga and nutritional supplements for weight management. In non-BC populations, limited evidence suggests that mindfulness meditation may help people improve eating behaviours (such as reducing the amount of emotional eating), increase physical activity, and reduce anxiety and stress [42, 43, 44, 45, 46, 47] while two pilot studies using mindfulness-based techniques for weight management in women with BC have reported promising findings for weight loss and eating behaviors [48, 49]. Again in non-BC populations, yoga may be effective for reduction of BMI compared with usual care (SMD -0.99) [50], while a pilot trial in women with BC reported a reduction in waist circumference of 3.1 cm and improvements in quality of life [51]. A range of nutraceutical supplements may have modest effects on weight [52, 53, 54, 55]. Given the interest in using these complementary modalities to assist weight loss, and the potential for additional benefits such as for mental health, further clinical research into the effectiveness and efficacy of these low risk mind-body interventions as an adjunct to lifestyle interventions is required.

This survey has some strengths and limitations. We achieved a higher than expected response rate from the BCNA Review and Survey Group, which is typically 10% (email communication with BCNA Review and Survey Group,3 Oct 2017). We were also able to recruit across Australia, with the percentage of respondents from each Australian State and Territory in our study being similar national averages on BC incidence sourced from the Australian Institute of Health and Welfare cancer data [56]. However, the majority of women from the BCNA Review and Survey Group did not respond, and the demographics of this group are also unclear. Also, the total numbers of women who used CM for weight management were small. These factors limit the validity of our findings.

Conclusion

We found evidence for high prevalence of use of CMs in a sample of BC survivors to improve wellbeing and relieve symptoms. The use of CM for weight loss is more limited, most probably due to concerns over lack of evidence for efficacy and other barriers such as financial cost. However, three quarters of women in our sample would be willing to try CMs such as acupuncture/acupressure, meditation, yoga, and nutritional supplements should there be relevant supporting evidence for efficacy for weight management. Our findings should be interpreted cautiously given the small numbers of women who were using CM for weight loss, and the low response rate of our survey. Given the burden of weight after BC, further research into these modalities is warranted.

Notes

Acknowledgements

We thank the consumer representatives from Breast Cancer Network Australia who provided feedback on the survey instrument used in this study; Natalie Zakhary who assisted with formatting the online survey; Kellie Stalgis-Bilinski who provided early feedback on the survey; and Karen Monaghan who assisted with data cleaning.

Participants in this research were recruited from Breast Cancer Network Australia’s (BCNA) Review and Survey Group, a national, online group of Australian women living with breast cancer who are interested in receiving invitations to participate in research. We acknowledge the contribution of the women involved in the Review and Survey Group who participated in this project.

Authors’ contributions

CE conceived of the study, designed the survey instrument, and collected the data. JB contributed to design of the survey instrument and study. AEC led the data analysis. DN contributed significantly to interpretation of the data, drafting of the manuscript, and critical revision for important intellectual content. CE, AEC, JB and DN contributed significantly to the interpretation of the data, drafting the manuscript, critical revision of the manuscript for important intellectual content, and provided final approval for publication.

Funding

This study did not receive any funding. CE is supported by an endowment from the Jacka Foundation of Natural Therapies.

Ethics approval and consent to participate

Consent was implied upon commencing the online anonymous survey. Ethics approval was provided by the Human Research Ethics Committee, Western Sydney University (H12444, Oct 2017).

Consent for publication

Not applicable.

Competing interests

CE declares that she is a practising GP and acupuncturist and the Director of an integrative healthcare centre, and that, as a medical research institute, NICM Health Research Institute receives research grants and donations from foundations, universities, government agencies, and industry. Sponsors and donors provide untied and tied funding for work to advance the vision and mission of the Institute.

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  1. 1.NICM Health Research Institute, Western Sydney UniversityPenrithAustralia
  2. 2.Department of Clinical Medicine, Faculty of Medicine and Health ScienceMacquarie UniversitySydneyAustralia

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