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. 2020 Mar 3;125(6):836–842. doi: 10.1111/bju.15007

Modifiable lifestyle behaviours impact the health‐related quality of life of bladder cancer survivors

Jiil Chung 1, Girish S Kulkarni 2, Jackie Bender 1, Rodney H Breau 3, David Guttman 4, Manjula Maganti 1, Andrew Matthew 5, Robin Morash 6, Janet Papadakos 7, Jennifer M Jones 1,
PMCID: PMC7496791  PMID: 31977152

Abstract

Objective

To examine health behaviours in bladder cancer survivors including physical activity (PA), body mass index, diet quality, smoking and alcohol consumption, and to explore their relationship with health‐related quality of life (HRQoL).

Subjects/Patients and Methods

Cross‐sectional questionnaire packages were distributed to bladder cancer survivors (muscle‐invasive bladder cancer [MIBC] and non‐muscle‐invasive bladder cancer [NMIBC]) aged >18 years, and proficient in English. Lifestyle behaviours were measured using established measures/questions, and reported using descriptive statistics. HRQoL was assessed using the validated Bladder Utility Symptom Scale, and its association with lifestyle behaviours was evaluated using analysis of covariance (ancova) and multivariate regression analyses.

Results

A total of 586 participants completed the questionnaire (52% response rate). The mean (SD) age was 67.3 (10.2) years, and 68% were male. PA guidelines were met by 20% (n = 117) and 22.7% (n = 133) met dietary guidelines. In all, 60.9% (n = 357) were overweight/obese, and the vast majority met alcohol recommendations (n = 521, 92.5%) and were current non‐smokers (n = 535, 91.0%). Health behaviours did not differ between MIBC and NMIBC, and cancer treatment stages. Sufficient PA, healthy diet, and non‐smoking were significantly associated with HRQoL, and the number of health behaviours participants engaged in was positively associated with HRQoL (P < 0.001).

Conclusion

Bladder cancer survivors are not meeting guidelines for important lifestyle behaviours that may improve their overall HRQoL. Future research should investigate the impact of behavioural and educational interventions for health behaviours on HRQoL in this population.

Keywords: health behaviours, health‐related quality of life, patient education, supportive care, #BladderCancer, #blcsm

Introduction

Bladder cancer is a common genitourinary cancer, and with the ageing population, its prevalence is expected to increase significantly 1, 2. Due to older age, high recurrence rates, and repeated surgeries for noninvasive disease and cystectomy for invasive disease, bladder cancer survivors (defined from the point of diagnosis) 3 carry an extensively high disease‐related personal and economic burden 4, 5. Modifiable lifestyle behaviours such as: physical activity (PA), weight management, diet, and smoking cessation, may reduce morbidity and mortality, and have been shown to improve health‐related quality of life (HRQoL) in survivors of multiple other cancers 6, 7, 8. However, to date, there have been few large studies that assess the degree to which bladder cancer survivors are adhering to current lifestyle recommendations across the disease trajectory, and between those with different stage of disease (muscle‐invasive bladder cancer [MIBC] vs non‐muscle‐invasive bladder cancer [NMIBC]). Further, the impact of lifestyle behaviours of bladder cancer survivors on HRQoL remains unclear due to small sample sizes and measurement issues including the use of generic HRQoL questionnaires or bladder cancer‐specific questionnaires that have not been validated 9, 10, 11.

To build upon this literature, we have conducted a large, cross‐sectional study of bladder cancer survivors using validated measures to: (i) describe health behaviours (PA, body mass index [BMI], diet quality, smoking and alcohol consumption) and compare between survivors with MIBC vs NMIBC and across the different phases of the cancer journey (newly diagnosed and undergoing treatment, in follow‐up surveillance, and recurrent/metastatic disease); and (ii) explore the relationship between lifestyle behaviours and HRQoL.

Subjects/Patients and Methods

Study Recruitment and Procedure

This study was approved by the Research Ethics Board at the University Health Network (UHN, 13‐7207). Detailed inclusion/exclusion criteria and recruitment procedures are described in a previous report 12. Briefly, bladder cancer survivors (MIBC and NMIBC) aged >18 years and proficient in English attending regular clinic visits at the Princess Margaret Cancer Centre (PMCC) and The Ottawa Hospital (TOH) were approached in‐person, and an online version of the survey (Appendix S1) was e‐mailed to the registered patient members of Bladder Cancer Canada (BCC).

Outcome Measures

Our previous report describes the initial development and piloting of the questionnaire used for data capture 12. The questionnaire package included the following: (i) Demographic and disease/treatment information; (ii) PA was assessed using the Godin Leisure‐Time Exercise Questionnaire, a three‐item tool that measures the weekly minutes that a participant spends participating in strenuous, moderate, and mild‐intensity exercise 13. Total weekly PA was measured by the total minutes reported engaging in mild/moderate/strenuous exercise. Based on current guidelines for PA, participants were categorised as ‘sufficiently active’ if they met the guideline of ≥150 min of moderate/strenuous exercise, otherwise, they were considered ‘insufficiently active’ 14, 15; (iii) BMI was calculated using the questions, ‘How much do you currently weigh?’ and ‘What is your height?’, and applying the formula: WeightinKilogramsHeightinmeters2. Each participant was subsequently categorised as: ‘underweight or normal weight’ if their BMI was <25.0 kg/m2, ‘overweight’ if their BMI was 25–29.9 kg/m2, and ‘obese’ if their BMI was ≥30 kg/m2; (iv) Diet quality: was measured by a modified version of the Rapid Eating Assessment for Participants – Short (REAP‐S; 10 items) 16. The REAP‐S contains seven items scored from 1 to 3 that assess intake of fruits, whole grains, and vegetables (FWV), and dairy and meat in a typical week. The summed score estimates dietary quality, with higher scores indicating healthier eating behaviours (range 7–21). In addition to the total sum, we also summed the scores for sufficient consumption of FWV as a marker of healthy dietary patterns. If participants scored a total of 9 points from the three items, they were categorised as having ‘sufficient’ FWV, and <9 points was considered ‘insufficient’ FWV. Lastly, participants were asked how willing they were to make changes in their eating habits in order to be healthier (scale, very willing 1–5 not at all willing); (v) Smoking status: was measured by the question, ‘Have you smoked at least part of a cigarette in the past 7 days?’ – ‘Yes’ indicated current smoker, and ‘No’ indicated that they were a non‐smoker; (vi) Alcohol consumption: was measured using the question, ‘Over the past 12 months, on average how many alcoholic drinks do you have each week?’, and using current guidelines (male ≤15, female ≤10 drinks/week), participants were categorised into ‘Within’ or ‘Exceeding’ alcohol consumption recommendations 17; (vii) HRQoL: was evaluated using the 10‐item, validated Bladder Utility Symptom Scale (BUSS) 18. The BUSS is a 10‐question, global HRQoL questionnaire that evaluates generic and bladder cancer‐specific domains of QoL. The total BUSS for each participant was calculated by summing up the scores from each question (maximum = 100), with a higher score indicating higher HRQoL 12.

Statistical Analysis

Demographic and clinical information on the sample were reported using descriptive statistics.

Description of Health Behaviours

Health behaviours were reported using descriptive statistics across the study cohort. Health behaviours between survivors of MIBC vs NMIBC and across the different phases of the cancer journey (newly diagnosed and undergoing treatment, in follow‐up surveillance, and recurrent/metastatic disease) were compared using chi‐square or Fisher’s exact tests for categorical variables and Student’s t‐test or anova for continuous variables.

Association Between Lifestyle Behaviours and HRQoL

The association of each health behaviour with HRQoL was examined using analysis of covariance (ancova), while adjusting for significant demographic and clinical confounders such as education status, diagnosis with MIBC or NMIBC, and time since diagnosis. To examine whether the cumulative number of net health behaviours would be significantly associated with better HRQoL, health behaviour scores of 0–5 were created by assigning 1 point for each of the following health behaviours: being sufficiently active, consuming sufficient FWV, not smoking, alcohol consumption within recommendation, and BMI of <25 kg/m2 19. Trend analysis was then performed to check the association of health behaviour score with total BUSS score, by controlling for the same confounders used in the aforementioned analysis.

Statistical significance was set as a < 0.05 (two‐sided). The Statistical Analysis System (SAS), version 9.3 (SAS Institute Inc., Cary, NC, USA) was used for all analyses.

Results

The response rate for the questionnaire was 52% (586/1126, returned/distributed), with 204 (204/308, 66%) from the PMCC, 129 (129/183, 70%) from TOH, and 253 (253/625, 40%) from the BCC network. Data from the three study sites were pooled, as their HRQoL scores did not differ significantly (P = 0.428). Demographic and clinical information of the study cohort are presented in Table 1 and overall health behaviours are shown in Table 2.

Table 1.

Demographic and clinical data of study participants.

Variable Value
Number of participants 586
Age, years, mean (sd) 67.3 (10.2)
Sex, n (%)
Male 401 (68.4)
Female 183 (31.2)
Country of birth, n (%)
Canada 397 (67.7)
Outside of Canada 183 (31.2)
Education, n (%)
≤Post‐secondary 204 (34.8)
>Post‐secondary 378 (64.5)
Residence setting, n (%)
Urban 319 (54.4)
Suburban 166 (28.3)
Rural 97 (16.6)
Time since diagnosis, n (%)
0–2 years ago 75 (12.8)
2–5 years ago 288 (49.1)
5+ years ago 190 (32.4)
Disease type, n (%)
MIBC 137 (23.4)
NMIBC 324 (55.3)
I do not know 113 (19.3)
TNM staging, n (%)
Ta, CIS, T1 324 (55.3)
T2–T4 129 (22.0)
N+, M+ 8 (1.4)
I do not know 113 (19.3)
Treatment, n (%)
Surgery only 170 (29.7)
Chemotherapy only 16 (2.8)
Immunotherapy (BCG) 33 (5.8)
Radiation only 3 (0.5)
Surgery + chemotherapy 108 (21.2)
Surgery + immunotherapy (BCG) 261 (51.2)
Surgery + radiation 35 (6.9)

BCG, Bacillus Calmette– Guérin.

Table 2.

The number and proportion of participants in each health behaviour group.

Health behaviour N (%) of N = 586
PA
Sedentary or insufficiently active 453 (77.3)
Sufficiently active 117 (20.0)
BMI [mean (sd) 27.5 (9.1) kg/m2]
Underweight or normal weight 211 (36.0)
Overweight 221 (37.7)
Obese 136 (23.2)
Diet [mean(sd) REAP‐S score 16.5 (2.9)]
Sufficient FWV 133 (22.7)
Insufficient FWV 415 (70.8)
Smoking
History of smoking 403 (71.0)
Ex‐smoker 352 (61.9)
Current smoker 51 (9.0)
Alcohol
Within recommendation 521 (92.5)
Exceeded recommendation 42 (7.5)

Description of Health Behaviours

PA: Participants were engaging in a mean (sd) of 140 (97) min of total PA (mild/moderate/strenuous) per week. Based on current guidelines 15, 20% (n = 117) of respondents were considered sufficiently active. NMIBC vs MIBC and cancer journey groups did not differ significantly in meeting sufficient exercise guidelines (Tables S1 and S2). The MIBC group had a mean (sd) of 61 (119) min of strenuous and moderate exercise and in the NMIBC group it was 75 (117) min (P =0.84). By cancer journey group, the newly diagnosed group had a mean (sd) of 58 (108) min, in the follow‐up group it was 74 (125) min, and in the recurrent/metastatic group it was 45 (82) min (P = 0.60).

BMI

A large portion of participants were overweight (37.7%, n = 221) or obese (23.2%, n = 136). BMI categories did not differ significantly between NMIBC vs MIBC or cancer journey groups (Tables S1 and S2).

Diet Quality

Details of responses to each REAP‐S item are included in Table 3. The mean (sd) REAP‐S score was 16.5 (2.9). In all, 42% (n = 258) of participants were usually/often eating ≥2 servings of fruit, 49.0% (n = 287) vegetables, and 46.9% (n = 275) of whole grains per day and 22.7% (n = 133) did all three. In terms of willingness to make changes in their eating habits, respondents scored a mean (sd, range) of 4.2 (1.0, 1–5). The mean (sd) REAP‐S score between NMIBC [16.8 (2.7)] and MIBC [16.8 (3.0)] did not differ (P = 0.94) and there was no difference in score between newly diagnosed [16.6 (3.0)], follow‐up surveillance [16.5 (3.0)], and recurrent/metastatic disease [17.0 (2.4)] groups (P = 0.65). Furthermore, NMIBC vs MIBC and cancer journey groups did not differ significantly in their FWV consumption (P = 0.18 and P = 0.88, respectively), or their willingness to change their diets (P = 0.31 and P = 0.44, respectively).

Table 3.

Total responses to each item in the REAP‐S measure.

REAP‐S item (asked in reference to an average week) N (%) of N = 586
Skip breakfast
Usually/often 72 (12.8)
Sometimes 84 (14.9)
Rarely/never 407 (72.3)
Eat 4 or more meals out
Usually/often 48 (8.8)
Sometimes 128 (23.4)
Rarely/never 372 (67.9)
Eat <2 servings of whole grains a day
Usually/often 111 (19.9)
Sometimes 173 (30.9)
Rarely/never 275 (49.2)
Eat less than 2 servings of fruits a day
Usually/often 78 (14.0)
Sometimes 193 (34.6)
Rarely/never 287 (51.4)
Eat/drink <2 servings of dairy products a day
Usually/often 122 (21.7)
Sometimes 204 (36.3)
Rarely/never 236 (42.0)
Eat <2 servings of vegetables a day
Usually/often 78 (14.0)
Sometimes 193 (34.6)
Rarely/never 287 (51.4)
Eat >227 g (8 oz) of meat a day
Usually/often 135 (24.3)
Sometimes 192 (34.6)
Rarely/never 228 (41.1)

Smoking

A large majority of the study participants met smoking guidelines, with only 9.0% (n = 51) being current smokers at the time of the survey. A majority of participants (n = 403, 71.0%) reported a history of smoking. Current smoking status did not differ between MIBC vs NMIBC or between cancer journey groups (P = 0.28 and P = 0.37, respectively).

Alcohol Consumption

Most participants were meeting recommended consumption guidelines for alcohol (n = 521, 92.5%). There were no differences between MIBC vs NMIBC and cancer journey groups based on alcohol consumption (P = 0.82 and P = 0.80, respectively).

Association Between Health Behaviours and HRQoL

For each health behaviour, the unadjusted and adjusted mean ± sd BUSS scores are reported in Table 4. Results from ancova controlling for education status, MIBC or NMIBC diagnosis and time since diagnosis showed that meeting PA recommendations, healthy diet, and non‐smoking were significantly associated with HRQoL. Meeting alcohol recommendations and BMI were not associated with HRQoL (Table 4).

Table 4.

The mean HRQoL for groups of each health behaviour.

Health behaviour HRQoL*
Unadjusted Adjusted*
PA, mean (sd)
Insufficiently active 76.2 (18.2) 75.9 (18.0)
Sufficiently active 83.7 (13.6) 84.1 (13.4)
d 0.47 0.51
BMI, mean (sd)
Underweight or normal weight 78.4 (18.2) 78.3 (18.5)
Overweight or obese 77.2 (17.2) 77.2 (17.2)
d 0.07 0.07
Diet quality, mean (sd)
Insufficient FWV 75.2 (18.5) 76.5 (17.5)
Sufficient FWV 80.0 (16.5) 81.6 (16.6)
d 0.25 0.29
Smoking, mean (sd)
Current smoker 69.2 (24.2) 67.8 (23.5)
Non‐smoker 78.6 (16.6) 78.5 (16.5)
d 0.45 0.53
Alcohol, mean (sd)
Above recommendation 81.4 (16.2) 81.1 (17.1)
Within recommendation 77.5 (17.5) 77.4 (17.3)
d 0.23 0.21

Higher scores on the HRQoL measure indicate higher self‐reported HRQoL on the BUSS.

*

Mean adjusted for education status, MIBC or NMIBC diagnosis and time since diagnosis. d (Cohen’s d) = Mean1−Mean2/sd pooled; d = 0.2 (small effect); d = 0.5 (moderately large effect); d = 0.8 (large effect).

Health behaviour scores (0–5) were calculated for each participant as described in the statistical analysis section. There were only four participants with a score of 0, and they were combined with individuals with a score of 1 for the purpose of analysis. Similarly, 17 participants with a score of 5 were combined with individuals with a score of 4 to create the score category of 4–5. In total, 42 (7.6%) participants were engaging in 0–1 health behaviours, 224 (40.4%) in 2, 187 (33.6%) in 3, and 102 (18.4%) in 4–5. There was a positive association between the number of health behaviours participants were engaged in and HRQoL, and the linear trend was significant (P < 0.001) (Table 5 and Fig. 1).

Table 5.

Unadjusted and adjusted means of HRQOL by health behaviour scores.

Score N (% of population) Unadjusted, mean (sd) Adjusted*, mean (sd)
0–1 42 (7.6) 76.8 (20.4) 76.7 (18.9)
2 224 (40.4) 74.9 (18.02) 74.4 (18.0)
3 187 (33.6) 77.7 (17.1) 77.7 (16.9)
4–5 102 (18.4) 84.2 (13.8) 85.01 (13.7)
*

Mean adjusted for education status, MIBC or NMIBC diagnosis, and time since diagnosis.

Figure 1.

Figure 1

*HRQoL (mean ± se) for total health behaviour. *Mean adjusted for education status, MIBC or NMIBC diagnosis, and time since diagnosis.

Discussion

The present study found that a minority of bladder cancer survivors are meeting PA and dietary recommendations, and the majority are overweight or obese. HRQoL was significantly associated with non‐smoking, meeting PA and dietary recommendations; and they were additive, as revealed by the increasing trend of reported HRQoL with increasing number of met health behaviours. To our knowledge, this is the first study to comprehensively investigate a wide span of health behaviours in a diverse sample of bladder cancer survivors.

More than two‐thirds (77.3%) of study participants were sedentary or insufficiently active according to the American Cancer Society (ACS) guidelines 15. The present study cohort reported lower total PA levels than the general Canadian population, and also compared to other bladder cancer survivor studies 11, 20, 21. This may be due to our exclusion of mild exercise, which is not included in the ACS recommendations. Mild exercise can include domestic work, which was the PA domain that Gopalakrishna et al. 11 found most reported by bladder cancer survivors. PA was positively and strongly associated with HRQoL, a finding that is supported by previous studies of bladder cancer populations 11. Given this, as well as previous work that has demonstrated that regular PA can result in a 50% reduction in risk of functional limitations and disability 19, supervised aerobic and resistance exercise programmes should be recommended to bladder cancer survivors who are not meeting PA recommendations.

In terms of diet quality, we found that 22.7% of the participants were meeting recommendations for FWV intake. This proportion is similar to other reports of patients with cancer (14.8–18.2%), but lower than a recent study of bladder cancer survivors that found 66.8% met fruit and vegetable recommendations 7, 22. These findings warrant concern, given the very low number of bladder cancer survivors who are meeting recommendations in our present cohort, and the emerging evidence that links diet quality to improved health outcomes including mortality, disability and chronic disease in the general population 23. There is a lack of research on the impact of diet quality on the HRQoL of bladder cancer survivors, which has led to mixed evidence of its effects 7, 24, 25. From studies involving other cancer groups, there is evidence suggesting that a poor diet leads to functional decline, worsened overall health outcomes, and recurrence 6, 15, 26. In our present analyses, better diet quality, as measured by consuming sufficient FWV, as well as by the REAP‐S score, was shown to be associated with higher HRQoL. Thus, nutritional screening is recommended to raise awareness regarding diet quality and to identify bladder cancer survivors who may need additional nutrition‐related resources and support services.

The mean (sd) BMI of this study population was 27.5 (9.1) kg/m2, which was comparable to the bladder cancer survivors [27.9 (5.5) kg/m2] in the Gopalakrishna et al. 11 study, and similar to the BMI distribution of the general population of Canadians aged 18–79 years 25, 27. Despite PA and diet quality both being positively correlated with HRQoL, BMI was not associated with HRQoL. This is in contrast to reports from other cancer sites, which have reported that being overweight or obese may result in functional decline and reduced HRQoL 28, 29. Despite this finding, there is emerging evidence to suggest an association between BMI and cancer recurrence, and counselling regarding weight loss is recommended 30.

Encouragingly, while a large proportion of respondents had a history of smoking, which increases their risk of developing bladder cancer 31, very few respondents were current smokers. It is possible that a diagnosis of cancer may have presented an incentive for smoking cessation. Screening for smoking status and the provision of cessation services are important, given that continued smoking can affect disease outcomes 31, and we found that smoking behaviour was also correlated with lower HRQoL. Alcohol consumption among our present participants was quite low, and not associated with HRQoL.

The effect of health behaviours was additive; that is, the more health behaviours bladder cancer survivors engaged in, the higher their HRQoL. Interestingly, we found that none of the health behaviours differed significantly across disease groups (MIBC vs NMIBC) or cancer journey groups (newly diagnosed, follow‐up surveillance, or metastasis/recurrence), which suggests that lifestyle behaviour interventions may not need to target a specific group of bladder cancer survivors and should be offered across the cancer trajectory, although ideally at diagnosis.

A limitation to the present study is its cross‐sectional design, not allowing for definitive conclusions to be made on the benefits of exercise, non‐smoking, and diet quality on HRQoL, and it is uncertain whether HRQoL can conversely influence health behaviours. Also, due to the self‐reported nature of the questionnaire, participants may have overestimated their exercise levels and dietary patterns. Similarly, treatment information was not included in the analysis, as it could have been misreported by patients. Nonetheless, there is scarce research in the field of health behaviours and HRQoL of bladder cancer survivors and our present study provides data to support the importance of conducting more interventional, randomised controlled trials for different health behaviours and their potentially additive effects on HRQoL, and how they can differentially affect different subgroups of bladder cancer survivors 7.

Conclusions

Our present results showed that many MIBC and NMIBC survivors are not engaging in important health behaviours throughout the cancer journey and this is associated with worse HRQoL. Future research should study the impact of lifestyle interventions on behaviour changes and HRQoL in this group of survivors.

Conflict of Interest

There were no conflicts of interest from any of the authors.

Abbreviations

ACS

American Cancer Society

BCC

Bladder Cancer Canada

BMI

body mass indexs

BUSS

Bladder Utility Symptom Scale

FWV

fruits, whole grains, and vegetables

HRQoL

health‐related quality of life

MIBC

muscle invasive bladder cancer

NMIBC

non‐muscle invasive bladder cancer

PA

physical activity

PMCC

Princess Margaret Cancer Centre

REAP‐S

Rapid Eating Assessment for Participants – Short

TOH

The Ottawa Hospital

Supporting information

Table S1. Health behaviours by disease type.

Table S2. Health behaviours by cancer journey.

Appendix S1. Health behaviours questionnaire package.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1. Health behaviours by disease type.

Table S2. Health behaviours by cancer journey.

Appendix S1. Health behaviours questionnaire package.


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