Literature DB >> 31581210

Factors associated with the use of diet and the use of exercise for prostate cancer by long-term survivors.

Suzanne Hughes1, Sam Egger1, Chelsea Carle1, David P Smith1,2,3,4, Suzanne Chambers4,5, Clare Kahn1, Cristina M Caperchione6, Annette Moxey7, Dianne L O'Connell1,3,7.   

Abstract

OBJECTIVE: To assess the use of diet and the use of exercise for prostate cancer (and/or its treatments' side effects) by long-term survivors and whether such use is associated with selected socio-demographic, clinical, health-related quality-of-life (HRQOL) and psychological factors. DESIGN, SETTING AND PARTICIPANTS: Population-based cohort study in New South Wales, Australia of prostate cancer survivors aged <70 years at diagnosis and who returned a 10-year follow-up questionnaire.
METHODS: Validated instruments assessed patient's HRQOL and psychological well-being. Poisson regression was used to estimate adjusted relative proportions (RRs) of prostate cancer survivor groups who were currently eating differently ('using diet') or exercise differently ('using exercise') to help with their prostate cancer.
RESULTS: 996 (61.0% of 1634) participants completed the 10-year questionnaire of whom 118 (11.8%; 95%CI[9.8-13.9]) were using diet and 78 (7.8%; 95%CI[6.2-9.5]) were using exercise to help with their prostate cancer. Men were more likely to use diet or use exercise for prostate cancer if they were younger (p-trend = 0.020 for diet, p-trend = 0.045 for exercise), more educated (p-trend<0.001, p-trend = 0.011), support group participants (p-nominal<0.001, p-nominal = 0.005), had higher Gleason score at diagnosis (p-trend<0.001, p-trend = 0.002) and had knowledge of cancer spread (p-nominal = 0.002, p-nominal = 0.001). Use of diet was also associated with receipt of androgen deprivation therapy (RR = 1.59; 95%CI[1.04-2.45]), a greater fear of cancer recurrence (p-trend = 0.010), cognitive avoidance (p-trend = 0.025) and greater perceived control of cancer course (p-trend = 0.014). Use of exercise was also associated with receipt of prostatectomy (RR = 2.02; 95%CI[1.12-3.63]), receipt of androgen deprivation therapy (RR = 2.20; 95%CI[1.34-3.61]) and less satisfaction with medical treatments (p-trend = 0.044).
CONCLUSIONS: Few long-term prostate cancer survivors use diet or exercise to help with their prostate cancer. Survivors may benefit from counselling on the scientific evidence supporting healthy eating and regular exercise for improving quality-of-life and cancer-related outcomes.

Entities:  

Mesh:

Year:  2019        PMID: 31581210      PMCID: PMC6776329          DOI: 10.1371/journal.pone.0223407

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Worldwide, prostate cancer is the second most common cancer for men and the fourth most common cancer overall [1]. In higher-income countries where prostate specific antigen (PSA) testing is common, substantial numbers of men are living with a diagnosis of prostate cancer and the adverse consequences (e.g., incontinence, erectile dysfunction, pain, psychological distress) that can persist for many years after diagnosis [2-3]. In New South Wales (NSW), Australia’s most populous state, the number of men living with prostate cancer was estimated to have risen by at least 59% (>22,500 extra prevalent cases) in the ten years from 2007 to 2017 [3]. Given the significant and increasing prevalent pool, there is growing interest in lifestyle modifications that might help reduce the risk of prostate cancer progression and improve prostate cancer treatment related quality-of-life [4]. Because poor diet and lack of physical activity are thought to play a role in the development of cancer [5], it seems plausible that these factors may also play a role in the progression of cancer, including prostate cancer. In terms of diet, three randomised controlled trials (RCTs) [6-8]—each judged to be at low risk of bias and of high methodological quality [9]—demonstrated that certain dietary interventions might improve markers of prostate cancer progression. Limited evidence from observational studies has also suggested that engaging in healthy dietary practices (e.g., increased fruit and vegetable consumption, reduced total and saturated fat consumption) may help in reducing prostate cancer progression [10-11]. With regards to exercise, there appears to be little or no evidence from RCTs that changes in physical activity levels slow prostate cancer progression, but evidence of this effect has been found in observational studies [12-14]. For other outcomes, evidence from RCTs suggests that various physical activity interventions can improve physical functioning, physical fitness, muscular strength, body composition and quality of life for patients receiving androgen deprivation therapy (ADT) [15-17]. In addition to the possible benefits of a healthy diet and physical activity on prostate cancer related outcomes, survivors potentially receive additional health benefits unrelated to their cancer, such as reduced risks of cardiovascular disease [18] and additional primary cancers [4]. Taking into account the available evidence and expert clinical opinion, the American Cancer Society Prostate Cancer Survivorship Care Guidelines (ACSSCG) [19] recommend that diets for prostate cancer survivors should—among other things—emphasise vegetables, fruits and foods with low amounts of saturated fat, while consuming adequate, but not excessive, amounts of dietary sources of calcium. In the absence of physical limitations or contraindications, the ACSSCG recommend that survivors should aim for at least 75 or 150 minutes per week of vigorous or moderate intensity exercise, respectively. The ACSSCG also recommend that survivors with post-prostatectomy incontinence be referred to a physical therapist for pelvic floor rehabilitation. Despite these recommendations, few previous quantitative studies have examined the dietary and exercise changes that prostate cancer survivors actually adopt to help with their cancer or its treatments’ side effects. In this cross-sectional analysis, we used information from a group of long-term survivors of prostate cancer (mean = 10 years) from NSW, to describe the use of diet and the use of exercise “for prostate cancer and/or its treatments’ side effects” (hereafter abbreviated as “for prostate cancer”) and whether such use was associated with selected socio-demographic, clinical, health-related quality-of-life (HRQOL) and psychological factors. We also discuss the cohort’s use of diet and exercise for prostate cancer in comparison to their use of complementary and alternative medicines (CAMs) for prostate cancer—the latter having been reported in detail in a previous publication [20].

Materials and methods

Study sample

The New South Wales Prostate Cancer Care and Outcomes Study (PCOS) is a population-wide longitudinal cohort study conducted in NSW, Australia, with a primary objective of assessing the effects of various treatments on HRQOL after a prostate cancer diagnosis. A total of 3195 men aged less than 70 years with histopathologically confirmed T1-4 prostate cancer diagnosed between October 2000 and October 2002 were identified through the NSW Cancer Registry and, after verbal informed consent had been given by their doctor, were invited to participate in PCOS. Of these patients, 1995 completed a baseline questionnaire (S1 Fig) after providing written informed consent. By January 2011, 1634 men were still alive, and 1427 of these men remained in PCOS and were invited to participate in a 10-year follow-up questionnaire (mean of 10 years after diagnosis; range 9–12 years). The 10-year questionnaire assessed various HRQOL and psychological outcomes for participants and their use of diet and exercise for prostate cancer (participants were also asked about their use of CAMs for prostate cancer and the corresponding results were reported in a previous publication [20]). Of the 1634 men, 996 (61%) completed and returned the 10-year questionnaire. Additional details of the initial recruitment process for PCOS are provided elsewhere [21-22]. PCOS was approved by the human research ethics committees of Cancer Council NSW, the Cancer Institute NSW, and the NSW Department of Health. The 10-year follow-up questionnaire was approved by the Cancer Council NSW Human Research Ethics Committee (Approval number: 2010#244).

Data collection

Clinical and socio-demographic data

Clinical data relating to diagnosis and primary treatment were collected for each participant by either a trained field worker or the treating doctor using a data collection form and protocol. These data were collected between 12 and 24 months after the histological diagnosis of prostate cancer and included prostate-specific antigen (PSA) level at diagnosis, Gleason score and clinical stage at diagnosis, and treatment received within 12 months of diagnosis. Place and socio-economic status of each man’s residence at diagnosis were based on the Accessibility/Remoteness Index of Australia (ARIA+) [23] and the Socio-Economic Indexes for Areas (SEIFA) [24] respectively. Highest level of education completed was self-reported in the baseline questionnaire. Information on prostate cancer treatments received was obtained from the treating doctors’ records (diagnosis to 12 months) and from linked administrative health datasets (covering from diagnosis to ten-year follow-up). For each man who provided written informed consent, treatment data were obtained from Medicare Australia and NSW Health’s Admitted Patient Data Collection [25]. Clinical and socio-demographic information obtained in the 10-year questionnaire included current place of residence, employment status, marital status, support group participation and self-report of whether the cancer had spread.

Psychological and health-related quality-of-life measures

A number of previously validated psychological and HRQOL patient-reported outcome measures (PROMs) were included in the 10-year questionnaire including (Table 1): a 6-item course of cancer subscale from the Cancer Locus of Control scale measuring the man’s perceived control of the course of their cancer [26]; Kornblith’s 5-item Cancer Fear of Recurrence scale [27]; the 22-item Impact of Event Scale-Revised (IES-R) [28] measuring distress, hyperarousal, intrusive thinking and cognitive avoidance associated with having prostate cancer; the 14-item Hospital Anxiety and Depression Scale (HADS) [29] measuring anxiety and depression; the 26-item Expanded Prostate cancer Index Composite Short Form (EPIC-26) [30] measuring urinary incontinence, urinary irritative/obstructive, bowel, sexual and hormonal summary scores, and also measuring urinary, bowel and sexual bother scores from the University of California-Los Angeles Prostate Cancer Index (UCLA-PCI) [31]; and the 12-item Short Form-12 (SF-12) [32] scale measuring the mental and physical dimensions of HRQOL. Satisfaction with medical treatments was ascertained on a 1-item 5-point Likert scale from the Expanded Prostate cancer Index Composite Long Form (EPIC-50) [33]. For each psychological domain, higher scores indicate higher levels of the psychological attribute. For each HRQOL domain, higher scores indicate better HRQOL (which corresponds to less bother for the bother domains assessing bother).
Table 1

Psychological and health-related quality-of-life patient-reported outcome measures included in the 10-year questionnaire.

Patient-reported outcome measureDomain/scale/subscale
Cancer Locus of ControlPerceived control of the course of cancer
Kornblith’s Fear of Cancer RecurrenceFear of cancer recurrence
IES-RProstate cancer specific distress
IES-RProstate cancer specific hyperarousal
IES-RProstate cancer specific intrusive thinking
IES-RProstate cancer specific cognitive avoidance
HADSAnxiety
HADSDepression
EPIC-26Urinary incontinence summary
EPIC-26Urinary irritative/obstructive summary
EPIC-26Bowel summary
EPIC-26Sexual summary
EPIC-26Hormonal summary
UCLA-PCIUrinary bother
UCLA-PCIBowel bother
UCLA-PCISexual bother
EPIC-50Satisfaction with medical treatment
SF-12Mental component score
SF-12Physical component score

EPIC-26 = Expanded Prostate cancer Index Composite Short Form

UCLA-PCI = University of California-Los Angeles Prostate Cancer Index

HADS = Hospital Anxiety and Depression Scale

IES-R = Impact of Event Scale-Revised

EPIC-50 = Expanded Prostate cancer Index Composite Long Form (EPIC-50)

SF-12 = Short Form-12

EPIC-26 = Expanded Prostate cancer Index Composite Short Form UCLA-PCI = University of California-Los Angeles Prostate Cancer Index HADS = Hospital Anxiety and Depression Scale IES-R = Impact of Event Scale-Revised EPIC-50 = Expanded Prostate cancer Index Composite Long Form (EPIC-50) SF-12 = Short Form-12

Diet and exercise changes

Men were asked whether they had “ever” made a change to their diet to help with their prostate cancer and/or its treatments’ side effects. If they answered yes they were then asked whether they were “currently” eating differently to help with their prostate cancer and/or its treatments’ side effects. Participants were asked about their specific dietary changes with available response options being: increased/decreased fruit, soy products, vegetables, dairy, fats, oils, fried foods, processed meats, red meat, dairy products plus free-text fields for user–specified options. Men were also asked whether they had “ever” made a change to the exercise they do to help with their prostate cancer and/or its treatments’ side effects. If they answered yes they were then asked whether they were “currently” exercising differently to help with their prostate cancer and/or its treatments’ side effects. Participants were asked to describe any changes in exercise and these free-text fields were subsequently coded for analysis.

Statistical methods

Poisson regression with robust variance estimation [34] was used to estimate the adjusted relative proportions (RRs) of current diet use and current exercise use for prostate cancer according to socio-demographic characteristics, clinical characteristics, psychological and HRQOL domains. The dependent variables for all regressions were current diet use for prostate cancer (yes or no) and current exercise use for prostate cancer (yes or no). Independent variables included age at completion of the 10-year questionnaire (<65, 65–69, 70–74, 75+ years; age ranged from 52 to 80 years), education (university or college degree, high school, less than high school), socio-economic status of place of residence (divided into quintiles using SEIFA), place of residence (major city, inner regional, outer regional/ remote/ very remote based on ARIA+), health insurance (private health insurance- with extras, private health insurance- without extras, Medicare only), employment status (in full time paid work, in part time paid work, retired/unemployed, self-employed), married or in defacto partner relationship (no, yes), participation in a support group (no contact with support groups, receive newsletter only, participate regularly or occasionally), country of birth (Australia, elsewhere), overall cancer severity at diagnosis (localised low risk, localised intermediate risk, localised high risk, stage T3-4, unknown) [35] and treatments used since diagnosis (active surveillance/watchful waiting (AS/WW), prostatectomy, external beam radiotherapy (EBRT)/ brachytherapy, ADT, bone-EBRT/chemotherapy/bisphosphonates). Other independent variables included PSA level at diagnosis (<4, 4 to <10, 10 to <20, 20+ng/mL, unknown), Gleason score at diagnosis (<7, 7, >7, unknown), clinical stage at diagnosis (T1a-c, T2a-c, T3a-c/T4a, unknown), and knowledge of cancer spread (no, yes). In order to avoid collinearity, however, these other variables were not included in models simultaneously with overall cancer severity at diagnosis. Subjects with missing data on any independent variable were excluded from regression analyses, but ‘unknown’ test results for clinical variables were analysed as distinct categories (because ‘unknown’ test results are primarily due to the absence of testing and thus the result is ‘unknown’ to the subject). Tests for linear trends were performed by inclusion of continuous/ordinal versions of independent variables where appropriate. For ordinal variables that were not interval scaled (eg. health insurance), consecutive integers were used for coding when testing for linear trends. Psychological and HRQOL variables were included one at a time as linear continuous independent variables in regression models after standardising each variable to have variance equal to one. Hence, RRs for psychological and HRQOL variables indicate the change in the probabilities of using diet or of using exercise per standard deviation increase in the variable [36]. Subjects with missing data for any psychological or HRQOL domain were excluded from analyses relating to that particular domain. Sensitivity analyses were conducted to assess whether estimates were unduly affected by missing data. In these analyses, multiple imputation was used to impute missing 10-year data for the 638 surviving PCOS participants who did not complete the 10-year questionnaire. Missing data were also multiply imputed for participants who completed the 10-year questionnaire but had missing data for one or more variables. Data were imputed 100 times using the method of chained equations [37]. Variables in the imputation models were the dependent and independent variables in the original multivariable regression models plus baseline socio-economic status of place of residence, place of residence, employment status, health insurance and marital status (age, education, and country of birth at the 10-year follow-up were estimated directly from corresponding baseline values). The combined imputed and original data were then analysed using estimation techniques for multiply imputed data.

Results

Of the 996 men who returned a 10-year follow-up questionnaire, 134 (13.5%; 95%CI[11.3–15.6])) had ever changed their diet and 102 (10.2%; 95%CI[8.4–12.1])) had ever changed the exercise they do to help with their prostate cancer (Table 2). Of the 996 men, 118 (11.8% 95%CI[9.8–13.9]) were currently using diet and 78 (7.8%%; 95%CI[6.2–9.5]) were currently using exercise for their prostate cancer. The most common dietary and exercise changes were the same for ‘ever’ use and ‘current’ use including ‘more vegetables’, ‘more fruit’, ‘less processed meat’, ‘more walking’, and ‘pelvic floor exercises’. A commonly reported reason for both currently using diet and currently using exercise was ‘to make me feel better’ (45% and 58% of current users respectively) (S1 Table). Current diet users also frequently cited ‘to boost my immune system’ (46% of current users), ‘to prevent cancer returning or spreading’ (46%) and ‘to do as much as I can for myself’ (46%) as reasons. Relatively few of the men using exercise for their prostate cancer (1 in 4) indicated that information about exercise came from their doctor.
Table 2

Types of diet and exercise changes ever and currently used for prostate cancer and/or its treatments’ side effects.

EverCurrently
Diet and exercise changes for prostate cancer and/or treatments’ side effects^n (% of 996)n (% of 996)
Changes to diet, exercise or both193 (19.4)158 (15.9)
Diet changes:134 (13.5)118 (11.8)
 More fruit86 (8.6)79 (7.9)
 More soy products37 (3.7)30 (3.0)
 More vegetables91 (9.1)87 (8.7)
 Less dairy49 (4.9)48 (4.8)
 Less fats, oils or fried foods61 (6.1)60 (6.0)
 Less processed meats71 (7.1)71 (7.1)
 Less red meat66 (6.6)63 (6.3)
Exercise changes:102 (10.2)78 (7.8)
 More walking44 (4.4)40 (4.0)
 More aerobic exercise (other than walking)15 (1.5)13 (1.3)
 Pelvic floor exercises33 (3.3)19 (1.9)
 Resistance exercises10 (1.0)7 (<1%)
 Unspecified gym activities*18 (1.8)13 (1.3)

Categories of specific diet and exercise changes are listed if ever used by over 1% of men.

^ Men may have more than one type of diet and or exercise change

* Unspecified gym activities may include “more aerobic exercise”, “pelvic floor exercises” and/or “resistance exercises” (hence numbers for these categories are likely to be underestimates).

Categories of specific diet and exercise changes are listed if ever used by over 1% of men. ^ Men may have more than one type of diet and or exercise change * Unspecified gym activities may include “more aerobic exercise”, “pelvic floor exercises” and/or “resistance exercises” (hence numbers for these categories are likely to be underestimates). Men were more likely to currently use diet or currently use exercise for prostate cancer if they were younger (p-trend = 0.020 for diet, p-trend = 0.045 for exercise), more educated (p-trend<0.001, p-trend = 0.011), support group participants (p-nominal<0.001, p-nominal = 0.005) (Table 3), had higher Gleason score at diagnosis (p-trend<0.001, p-trend = 0.002) (Table 4) or had knowledge of cancer spread (p-nominal = 0.002, p-nominal = 0.001). Men were more likely to currently use exercise if they had received a prostatectomy (RR = 2.02; 95%CI[1.12–3.63]) or ADT (RR = 2.20; 95%CI[1.34–3.61]) (Table 3), and were more likely to currently use diet if they had ever received ADT (RR = 1.59; 95%CI[1.04–2.45]). PSA level was also associated with use of exercise (p-nominal = 0.024), but the difference was driven by the ‘unknown’ category and not related to clinical levels (Table 4).
Table 3

Associations between current use of diet and exercise for prostate cancer and/or its treatments’ side effects and socio-demographic/clinical characteristics for Australian long-term prostate cancer survivors.

DietExercise
CharacteristicNCurrent-usern (%)RR*p-nominalp-trend^^Current-usern (%)RR*p-nominalp-trend^^
996118 (11.8)78 (7.8)
Age (years)
 <6516424 (14.6)ref.0.22017 (10.4)ref.0.195
 65–6926737 (13.9)1.06 (0.67, 1.67)0.02019 (7.1)0.70 (0.37, 1.32)0.045
 70–7429928 (9.4)0.69 (0.41, 1.18)27 (9.0)0.88 (0.46, 1.69)
 75–8026629 (10.9)0.74 (0.44, 1.24)15 (5.6)0.52 (0.26, 1.05)
Education
 University or college degree29757 (19.2)ref.<0.00136 (12.1)ref.0.023
 High school67060 (9.0)0.47 (0.32, 0.67)<0.00142 (6.3)0.58 (0.36, 0.93)^0.011
 Less than high school251 (4.0)0.25 (0.04, 1.53)0 (0.0)
 Missing +40 (0.0)0 (0.0)
Socio-economic status of residence area
 1- Highest SES34646 (13.3)ref.0.43830 (8.7)ref.0.554
 220424 (11.8)1.13 (0.69, 1.83)0.91416 (7.8)1.30 (0.68, 2.48)0.288
 321421 (9.8)0.67 (0.38, 1.17)19 (8.9)1.01 (0.52, 1.96)
 414413 (9.0)0.96 (0.48, 1.93)8 (5.6)0.67 (0.25, 1.77)
 5- Lowest SES8312 (14.5)1.24 (0.58, 2.67)4 (4.8)0.56 (0.18, 1.77)
 Missing +52 (40.0)1 (20.0)
Place of residence
 Major city58075 (12.9)ref.0.93450 (8.6)ref.0.237
 Inner regional26627 (10.2)0.91 (0.57, 1.48)0.76316 (6.0)0.72 (0.38, 1.33)0.257
 Outer regional/ remote/ very remote14815 (10.1)0.95 (0.48, 1.88)12 (8.1)1.36 (0.66, 2.81)
 Missing +21 (50.0)0 (0.0)
Health insurance
 Private—with extras58475 (12.8)ref.0.76355 (9.4)ref.0.257
 Private—without extras15316 (10.5)0.81 (0.47, 1.42)0.6999 (5.9)0.58 (0.28, 1.19)0.220
 Medicare25626 (10.2)0.94 (0.58, 1.50)14 (5.5)0.73 (0.38, 1.38)
 Missing +31 (33.3)0 (0.0)
Employment status
 In full time paid work13018 (13.8)ref.0.7509 (6.9)ref.0.359
 In part time paid work10712 (11.2)0.82 (0.41, 1.64)n/a7 (6.5)0.94 (0.35, 2.54)n/a
 Retired/Unemployed74083 (11.2)0.98 (0.60, 1.61)59 (8.0)1.60 (0.73, 3.53)
 Self-employed175 (29.4)1.46 (0.53, 4.03)3 (17.6)2.34 (0.56, 9.78)
 Missing +20 (0.0)0 (0.0)
Married or living with defacto
 No16620 (12.0)ref.0.92613 (7.8)ref.0.971
 Yes82998 (11.8)1.02 (0.63, 1.65)n/a65 (7.8)1.01 (0.54, 1.89)n/a
 Missing +10 (0.0)0 (0.0)
Participate in a support group
 No contact with support groups77076 (9.9)ref.<0.00146 (6.0)ref.0.005
 Receive newsletter only15330 (19.6)2.13 (1.43, 3.19)n/a20 (13.1)2.06 (1.23, 3.45)n/a
 Participate regularly or occasionally7312 (16.4)1.48 (0.85, 2.59)12 (16.4)2.09 (1.14, 3.84)
Country of birth
 In Australia76890 (11.7)ref.0.35062 (8.1)ref.0.198
 In another country22728 (12.3)0.82 (0.54, 1.24)n/a16 (7.0)0.71 (0.42, 1.20)n/a
 Missing +10 (0.0)0 (0.0)
Overall cancer severity at diagnosis
 Localised low risk34131 (9.1)ref.0.23720 (5.9)ref.0.429
 Localised intermediate risk35936 (10.0)1.13 (0.70, 1.82)0.02329 (8.1)1.44 (0.83, 2.51)0.067
 Localised high risk17633 (18.8)1.56 (0.94, 2.58)16 (9.1)1.39 (0.73, 2.64)
 Stage T3-46814 (20.6)1.91 (0.99, 3.65)10 (14.7)2.17 (0.97, 4.87)
 Unknown524 (7.7)1.06 (0.39, 2.87)3 (5.8)1.27 (0.37, 4.38)
Treatments used since diagnosis ^^^
 AS/WW9913 (13.1)1.75 (0.94, 3.26)<0.001 #7 (7.1)1.81 (0.86, 3.83)<0.001 #
 Prostatectomy65865 (9.9)0.83 (0.53, 1.30)n/a56 (8.5)2.02 (1.12, 3.63)n/a
 EBRT/Brachytherapy39766 (16.6)1.44 (0.91, 2.27)37 (9.3)1.17 (0.69, 1.98)
 Androgen deprivation therapy31960 (18.8)1.59 (1.04, 2.45)39 (12.2)2.20 (1.34, 3.61)
 Other**104 (40.0)2.54 (1.04, 6.21)3 (30.0)2.58 (0.88, 7.52)

* Adjusted for age, education, socio-economic status of residence area, place of residence, health insurance, employment status, marital status, participation in a support group, country of birth, cancer severity at diagnosis, and treatments used since diagnosis;

+ 16 of the 996 participants were excluded from regression analyses due to missing data;

Localised (stage 1 or 2) risk groups- low risk (PSA≤10, Gleason score ≤6, and clinical stage = T1-2a), intermediate risk (1020, Gleason score>7, or clinical stage T2c);

p-values values correspond to fully adjusted models;

^Groups merged for regression analysis due to zero cell;

^^p-trend analysis excludes ‘missing’ and ‘unknown’ categories;

^^^ Multiple treatments possible for each man and reference group for each treatment is not having had that treatment;

# p-value is for test that all RRs equal one;

** ‘Other’ group contains 10 patients who received chemotherapy, bisphosphonates and/or bone EBRT;

Data from 10-year questionnaire unless “at diagnosis” stated.

Table 4

Associations between current use of diet and exercise for prostate cancer and/or its treatments’ side effects and other clinical characteristics for Australian long-term prostate cancer survivors.

DietExercise
CharacteristicN+Current-usern (%)RR*p-nominalp-trend^^Current-usern (%)RR*p-nominalp-trend^^
996118 (11.8)78 (7.8)
PSA at diagnosis (ng/mL)
 <1065268 (10.4)ref.0.82649 (7.5)ref.0.024
 10 to <2020028 (14.0)1.03 (0.68, 1.58)0.33319 (9.5)1.30 (0.78, 2.18)0.387
 20+9718 (18.6)0.79 (0.45, 1.39)7 (7.2)0.57 (0.24, 1.38)
 Unknown474 (8.5)0.78 (0.21, 2.92)3 (6.4)0.35 (0.15, 0.82)
Gleason score at diagnosis
 <753045 (8.5)ref.0.01330 (5.7)ref.0.092
 735348 (13.6)1.43 (0.95, 2.14)<0.00135 (9.9)1.43 (0.87, 2.34)0.002
 >78122 (27.2)2.38 (1.42, 4.00)10 (12.3)1.69 (0.85, 3.36)
 Unknown323 (9.4)1.35 (0.15, 12.37)3 (9.4)3.01 (1.06, 8.52)
Clinical stage at diagnosis
 T1a-T2a70974 (10.4)ref.0.71150 (7.1)ref.0.229
 T2b-T2c18527 (14.6)1.06 (0.68, 1.65)0.40415 (8.1)0.98 (0.56, 1.70)0.350
 T3a-c, T4a6814 (20.6)1.37 (0.78, 2.40)10 (14.7)1.59 (0.76, 3.30)
 Unknown343 (8.8)1.46 (0.22, 9.85)3 (8.8)2.30 (0.86, 6.10)
Knowledge of cancer spread
 No92595 (10.3)ref.0.00259 (6.4)ref.0.001
 Yes7123 (32.4)2.15 (1.31, 3.51)n/a19 (26.8)2.53 (1.45, 4.40)n/a

* Adjusted for age, education, socio-economic status of residence area, place of residence, health insurance, employment status, marital status, participation in a support group, country of birth, PSA at diagnosis, Gleason score at diagnosis, clinical stage at diagnosis, and treatments used since diagnosis;

† To avoid collinearity, PSA at diagnosis, Gleason score at diagnosis, clinical stage at diagnosis, knowledge of cancer spread were not included in models simultaneously with overall cancer severity at diagnosis;

p-values values correspond to fully adjusted models.

^^p-trend analysis excludes ‘missing’ and ‘unknown’ categories;

Data from 10-year questionnaire unless “at diagnosis” stated.

+ 16 of the 996 participants were excluded from regression analyses due to missing data.

* Adjusted for age, education, socio-economic status of residence area, place of residence, health insurance, employment status, marital status, participation in a support group, country of birth, cancer severity at diagnosis, and treatments used since diagnosis; + 16 of the 996 participants were excluded from regression analyses due to missing data; Localised (stage 1 or 2) risk groups- low risk (PSA≤10, Gleason score ≤6, and clinical stage = T1-2a), intermediate risk (10<PSA≤20, Gleason score = 7 or clinical stage = T2b) high-risk (PSA >20, Gleason score>7, or clinical stage T2c); p-values values correspond to fully adjusted models; ^Groups merged for regression analysis due to zero cell; ^^p-trend analysis excludes ‘missing’ and ‘unknown’ categories; ^^^ Multiple treatments possible for each man and reference group for each treatment is not having had that treatment; # p-value is for test that all RRs equal one; ** ‘Other’ group contains 10 patients who received chemotherapy, bisphosphonates and/or bone EBRT; Data from 10-year questionnaire unless “at diagnosis” stated. * Adjusted for age, education, socio-economic status of residence area, place of residence, health insurance, employment status, marital status, participation in a support group, country of birth, PSA at diagnosis, Gleason score at diagnosis, clinical stage at diagnosis, and treatments used since diagnosis; † To avoid collinearity, PSA at diagnosis, Gleason score at diagnosis, clinical stage at diagnosis, knowledge of cancer spread were not included in models simultaneously with overall cancer severity at diagnosis; p-values values correspond to fully adjusted models. ^^p-trend analysis excludes ‘missing’ and ‘unknown’ categories; Data from 10-year questionnaire unless “at diagnosis” stated. + 16 of the 996 participants were excluded from regression analyses due to missing data. For the psychological domains, diet was more likely to be currently used by men who reported a greater fear of cancer recurrence (RR = 1.25; 95%CI[1.05–1.47]), cancer-specific cognitive avoidance (RR = 1.21; 95%CI[1.02–1.42]) and perceived control of cancer course (RR = 1.25; 95%CI[1.05–1.50]) (Fig 1). Current use of exercise was associated with less satisfaction with medical treatments (RR = 0.83; 95%CI[0.69–1.00]) (Fig 1).
Fig 1

Relative proportion (RR) of current use of a) diet and b) exercise for prostate cancer and/or its treatments’ side effects per standard deviation increase in psychological or HRQOL domain for Australian long-term prostate cancer survivors.

*Adjusted for age, education, socio-economic status of residence area, place of residence, health insurance, employment status, marital status, participation in a support group, country of birth, cancer severity at diagnosis and treatments used since diagnosis.

Relative proportion (RR) of current use of a) diet and b) exercise for prostate cancer and/or its treatments’ side effects per standard deviation increase in psychological or HRQOL domain for Australian long-term prostate cancer survivors.

*Adjusted for age, education, socio-economic status of residence area, place of residence, health insurance, employment status, marital status, participation in a support group, country of birth, cancer severity at diagnosis and treatments used since diagnosis. Analyses using the multiply-imputed data produced marginally, but not materially, higher estimates for prevalences of current diet and exercise use (S2 Table). The estimated magnitudes of associations from the original analyses were not materially different from those obtained from analyses using the multiply-imputed data (S2–S4 Tables, S2 and S3 Figs).

Discussion

A cancer diagnosis is often considered to be a ‘teachable moment’ in which patients may be inclined to seek information about lifestyle changes that might improve cancer outcomes and quality-of-life. In this cohort of long-term prostate cancer survivors, however, only about one in seven men had ever made changes to their diet and only one in ten men had ever made changes to the exercise they do to help with their prostate cancer. In terms of the specific dietary and exercise changes adopted by more than 1% of the cohort (Table 2), most were broadly consistent with recommendations outlined in the ACSSCG [19], and none were unequivocally contraindicated by these guidelines. Younger, more educated survivors and those who participate in support groups were more likely to currently use diet or exercise to help with their prostate cancer. ADT recipients were more likely to currently use diet or exercise than non-recipients, while prostatectomy recipients were more likely to currently use exercise than non-recipients. Psychological distress also appeared to be a motivator for diet and exercise use with current diet users having greater fear of recurrence and cognitive avoidance than non-users, while current exercise users were less satisfied with their medical treatments than non-users. A number of previous studies have reported on the prevalence of dietary and exercise behaviours among prostate cancer survivors [38-44]. In a 2008 systematic review [45], investigators found that the prevalence of physically active prostate cancer survivors was less than 30% in some study cohorts. With regards to diet, two U.S surveys [38-39] reported that only about 1/3 of prostate cancer survivors were meeting the American Cancer Society’s (contemporaneous) recommendations for fruit and vegetable intake [46]. It is important to note that these ‘prevalence’ studies are only indirectly related to the current study as we did not collect information on the prevalence of specific dietary and exercise behaviours (ie our data relate to ‘change’ in dietary and exercise behaviours for prostate cancer). The prevalence studies are useful, however, in that they show that some prostate cancer survivorship cohorts have considerable room to improve dietary and exercise behaviours in directions more consistent with survivorship guidelines. In addition to the ‘prevalence’ studies mentioned above, another group of studies have reported on ‘change’ in diet and exercise behaviours following prostate cancer diagnosis, but with ‘change’ being for any reason and not necessarily related to the cancer or its treatments’ side effects [47-48]. The distinction between ‘change for any reason’ and ‘change to help with prostate cancer’ is important because individuals–including those who have never been diagnosed with cancer–often make behavioural changes unrelated to cancer. In our study, for example, only 15.9% of survivors reported currently eating, exercising or doing both differently to help with their prostate cancer and/or its treatments’ side effects (Table 2), yet 51.4% of survivors reported currently eating, exercising or doing both differently for any reason related to improving health and well-being (including to help with prostate cancer). In the current study, we chose to focus on diet and exercise changes survivors make to help with their prostate cancer because these outcomes capture both men’s willingness to make healthy lifestyle changes and also their awareness that such changes might help with their prostate cancer. It is important to note, however, that although many survivors in our cohort reported changing eating and exercise habits for reasons unrelated to their cancer, such habits may also help them with their cancer. Few quantitative studies have assessed the dietary or exercise changes that prostate cancer survivors adopt specifically to help with their cancer. Two studies from the U.S. [49-50] and one from the U.K [51] found similarly small proportions of survivors currently using diet to help with their cancer (12% to 15%) as was observed in the current study (11.8%). In contrast, another study from the U.S [52] reported 27.4% and 15.8% of 114 prostate cancer patients had changed their dietary intake and/or physical activity within the previous 12 months, respectively, to help cope with the cancer or reduce the risk of spread (with changes assessed up to 24 months after diagnosis in 1997 or 1998). Although the estimates from this U.S. study were based on only 114 prostate cancer patients, they are significantly higher than the corresponding 13.5% and 10.2% of survivors in the current study who had ‘ever’ made dietary and exercise changes for prostate cancer. The study from the U.S. also reported the specific changes in diet and exercise adopted by their cohort and patient factors associated with such changes, but these results were not reported specifically for prostate cancer survivors (as the cohort also included breast and colon cancer survivors). In a previous publication, we reported the use of CAMs for prostate cancer by this cohort of 996 long-term survivors [20]. Dietary and exercise modifications and the use of CAMs are similar in that they are activities that many prostate cancer survivors adopt with an aim of improving their cancer and/or treatment related outcomes. These activities differ importantly, however, in that current evidence suggests that prostate cancer survivors might benefit from dietary and exercise modifications, but there is no such evidence supporting the use of CAMs (and some CAMs commonly used for prostate cancer, such as vitamin E [53], have been linked to harmful outcomes). In our cohort, the prevalences of current CAM use [20] and current use of diet, exercise or both for prostate cancer were similar (16.9% versus 15.9%), and exactly half of the 158 survivors currently using diet, exercise or both for their cancer were also using CAMs concurrently for their cancer. Similar psychological factors appear to play a role in survivors’ use of CAMs and use of diet for prostate cancer, with both behaviours being related to a fear of cancer recurrence but also seemingly providing men with an increased sense of control over their cancer [20]. Given the high degree of overlapping use of diet, exercise and CAMs for prostate cancer and the presence of common psychological motivators, it may be that survivors who seek advice on CAMs for prostate cancer are likely to be amenable to advice on diet and exercise for prostate cancer. This study has several limitations. First, potential interactions between the factors associated with the use of diet and exercise for prostate cancer were not examined due to insufficient statistical power. Second, a potentially important source of bias is the non-response of 39% of surviving PCOS participants to the 10-year questionnaire. Somewhat reassuringly, however, is the fact that other than a higher proportion of non-respondents being aged 75 years and over, respondents and non-respondents had similar demographic and clinical characteristics [S5 Table]. Moreover, the inclusion of the 10-year non-respondents through multiple imputation made little difference to the original estimates (S2–S4 Tables, S2 and S3 Figs) or to our overall conclusions. Third, because changes in diet and exercise were based on men’s recall measured at one time-point rather than from measurements taken before and after prostate cancer diagnosis, the observed associations cannot be interpreted as causal. Fourth, self-report of having “ever” made changes to diet or exercise for prostate cancer is vulnerable to recall error as men might struggle to remember changes over the 10-year post-diagnosis period. However, self-report of “current” diet or exercise use for prostate cancer would not be vulnerable to the same recall error.

Conclusion

In this cohort of long-term prostate cancer survivors, to help with their prostate cancer only one in seven prostate cancer survivors had ever made changes to their diet and only one in ten had ever made changes to the exercise they do. Moreover, one in six prostate cancer survivors were currently using diet, exercise or both for their prostate cancer and a similar proportion were currently using CAMs for the same reason. These findings suggest prostate cancer patients may benefit from counselling on the scientific evidence supporting healthy eating and regular exercise and the absence of evidence supporting the use of CAMs. A key challenge, however, is how to motivate men to modify their lifestyles and then maintain these modifications over the course of their (often long) survivorship. Finally, the updating of prostate cancer survivorship guidelines that reference the latest evidence regarding the benefit of diet and exercise for health and wellbeing should be considered a priority in setting the agenda on prostate cancer survivorship.

Reasons for—And sources of information on—Current use of diet and exercise for prostate cancer and/or its treatment side effects.

(DOCX) Click here for additional data file.

Estimated prevalences of current diet and exercise changes with and without multiple imputation of missing data for surviving participants who completed the baseline but not the 10-year questionnaire, and for participants who completed the 10-year questionnaire but had missing data for one or more variables.

(DOCX) Click here for additional data file.

Estimated adjusted relative proportions (RRs) for associations between current diet/exercise changes and socio-demographic/clinical characteristics with and without multiple imputation of missing data for surviving participants who completed the baseline but not the 10-year questionnaire, and for participants who completed the 10-year questionnaire but had missing data for one or more variables.

(DOCX) Click here for additional data file.

Comparability of estimated adjusted relative proportions (RRs) corresponding to associations between current diet/exercise changes and other clinical characteristics with and without multiple imputation of missing data for the 638 living participants who completed baseline but not 10-year survey, and for participants who did complete the 10-year questionnaire but had missing data for one or more variables.

(DOCX) Click here for additional data file.

Demographic and clinical characteristics of PCOS men invited to participate in the 10-year questionnaire; respondents versus non-respondents.

(DOCX) Click here for additional data file.

Flow diagram showing patients’ participation and follow-up.

(DOCX) Click here for additional data file.

Estimated adjusted relative proportions (RRs) for associations between current diet changes and psychological/HRQOL measures with and without multiple imputation of missing data for surviving participants who completed the baseline but not the 10-year questionnaire, and for participants who completed the 10-year questionnaire but had missing data for one or more variables.

(DOCX) Click here for additional data file.

Estimated adjusted relative proportions (RRs) for associations between current exercise changes and psychological/HRQOL measures with and without multiple imputation of missing data for surviving participants who completed the baseline but not 10-year questionnaire, and for participants who completed the 10-year questionnaire but had missing data for one or more variables.

(DOCX) Click here for additional data file. 7 Aug 2019 PONE-D-19-20347 Factors associated with the use of diet and the use of exercise for prostate cancer by long-term survivors PLOS ONE Dear Mr Egger, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. ============================== This manuscript has been evaluated by two referees with expertise in oncology, epidemiology, nutrition, and exercise science. The referees identified several important weaknesses that should be prioritized in the revised manuscript. Reviewer 1 identified multiple major sources of bias resulting from the sampling process and the recall interval. Please think carefully about how to address this important issue and the validity of your study conclusions. Reviewer 2 identified several limitations as they relate to the questionnaires and their inability to parse out specific types of physical activity. Please consider how the wording of your questionnaire may influence your study results and the specificity of recommendations that can be offered to patients, healthcare providers, and policymakers. ============================== We would appreciate receiving your revised manuscript by Sep 21 2019 11:59PM. When you are ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. 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Reviewer #1: Partly Reviewer #2: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: No Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: In this cross-sectional analysis, the investigators aimed to (1) describe the prevalence of self-reported diet and exercise changes among prostate cancer survivors and (2) examine associations with sociodemographic, clinical, HRQOL, and psychological factors. While these are clinically important aims that could help to inform targeted lifestyle interventions among men diagnosed with prostate cancer, the significance and soundness of this study are limited by its design. Major comments: • Selection bias is likely given that the analyses were restricted to individuals who survived and remained under follow-up long enough to return a 10-year follow-up questionnaire. • Measurement bias is likely as men recalled whether they had ever changed certain behaviors (e.g., increased fruit intake, increased walking) over the past 10-year period. Minor comments: • The composite measures of “change in diet and exercise” do not capture information on specific behaviors, which would be important to inform targeted interventions. • The restriction to “change to help with prostate cancer” does not capture positive changes that may be made to benefit other clinically relevant outcomes in this patient population, such as cardiovascular disease. • The concluding remarks about CAM do not seem central to the a priori aims. Reviewer #2: (Introduction, Page 4): “There appears to be little or no evidence from RCT’s that changes in physical activity levels improve markers of prostate cancer progression” – This might be true, but there is epidemiological evidence to this effect, pertaining to prostate cancer progression / aggression, and so too post-diagnosis physical activity and overall survival. It may be at-least worthwhile to highlight this, as the working hypothesis isn’t narrowcast to quality of life only – which use patient self-report much like your own current study, thus as dutiful I would think: https://www.ncbi.nlm.nih.gov/pubmed/26276753 https://www.ncbi.nlm.nih.gov/pubmed/21610110 https://www.ncbi.nlm.nih.gov/pubmed/21205749 (Methods, Page 8, Diet and Exercise Changes): Unsure why “or exercise program in a separate question” is bracketed. It is not a lower-order question, and should simply be included in the statement / sentence. Seems to be a second-order issue with the authors more interested in diet. Treat both equally given the title of the paper and outcomes of the paper aim for this. Beyond this, is the question: “have you ever made a change” really sensitive enough? Seems remarkably general. Of interest would be “how long” they upheld the change, because health behaviour change is complex, and sustaining a behaviour change while undergoing treatment is even more difficult that simply indicating whether “a change” was transiently made. Was this asked or measured? Ifso consider adding to the paper as it will have meaning towards behaviour change coaching or plans in this population too. (Methods, Page 9, Statistical Methods): It is outlined here that Independent Variables include Age - <65, 65-69, 70-75, 75+ with the age ranging from 52 to 80 – but in your methods and your abstract, you stated men <70 years…. Can you please explain this? Were the Men <70 years that age at recruitment? Thus 10 year follow-up can be up to 80 years of age? Or did this study only include analysis of men currently 70 years or younger? In either case, this might need to be more clearly detailed so as to be less ambiguous. Was there any reason that you decided to exclude subjects with missing data from psychological/HRQOL domains instead of using missing data imputations? Did this apply for other data or variables? (Table 2): I am surprised there is no information around resistance exercise. Why was walking judged to be different to aerobic exercise? And why has no resistance exercise or muscle building exercise been included? Did the questionnaire assist patients in understanding how different types of exercise or physical activity are defined? If not this is a limitation that must be noted, because participants often miscategorise activities as they do not understand the true definition – it is noticeable in the Godin Leisure-Time Questionnaire often. The exercise portion as a result seems incomplete in this Table – though this may be a consequence of the fact that it was coded by the researchers using free-form entry by participants only. (Discussion, Page 15): It discusses prevalence studies in the 2nd paragraph – yet it seems to have missed this paper: https://www.ncbi.nlm.nih.gov/pubmed/27647712 which highlights this type of information pertaining to aerobic guidelines and prostate cancer patients with bone metastases. This might be relevant. Also, why was the “data not shown” for the Men who listed “changing exercise or diet for any reason”. Some of these Men may have changed these factors following their prostate cancer diagnosis as a catalyst for the change even if they do not directly attribute to using it “as medicine”. That is, the Men might not have identified their decision to change exercise or diet habits was to “treat their cancer or side-effects” but they may have changed exercise or diet habits “to be more healthy” following their cancer diagnosis. So, you might be removing legitimately interesting data simply because Men didn’t narrowcast their own responses to a self-report questionnaire 10 years post-diagnosis. This may also need to be a limitation acknowledged in your paper. Men might have improved their lifestyle practices, noting that general health and wellbeing is important, not recognising that actually improving general health and wellbeing while dealing with cancer and treatment will itself help “with their prostate cancer”…. This is a flaw of the questionnaire not clearly being able to delineate between the nuance of this, and not the participants themselves. So, this definitely needs some level of appreciation in your paper, otherwise it makes the situation look far direr than it probably is. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. 19 Sep 2019 Please see "Reponse to Reviewers" document. Submitted filename: Responses to Reviewers.docx Click here for additional data file. 23 Sep 2019 Factors associated with the use of diet and the use of exercise for prostate cancer by long-term survivors PONE-D-19-20347R1 Dear Dr. Egger, We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements. Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication. Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. With kind regards, Justin C. Brown Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments:
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