Kyoko Tiessen

Lifestyle Behaviors in Elderly Cancer Survivors: A Comparison With Middle-Age Cancer Survivors

PURPOSE Improved cancer screening and treatment have led to a greater focus on cancer survivorship care. Older cancer survivors may be a unique population. We evaluated whether older cancer survivors (age ≥ 65 years) had lifestyle behaviors, attitudes, and knowledge distinct from younger survivors. PATIENTS AND METHODS Adult cancer survivors with diverse cancer subtypes were recruited from Princess Margaret Cancer Centre (Toronto, Ontario, Canada). Multivariable models evaluated the effect of age on smoking, alcohol, and physical activity habits, attitudes toward and knowledge of these habits on cancer outcomes, and lifestyle information and recommendations received from health care providers, adjusted for sociodemographic and clinicopathologic covariates. RESULTS Among the 616 survivors recruited, 23% (n = 139) were older. Median follow-up since diagnosis was 24 months. Older survivors were more likely ex-smokers and less likely current smokers than younger survivors, but they were less likely to know that smoking could affect cancer treatment (adjusted odds ratio [OR], 0.53; P = .007) or prognosis (adjusted OR, 0.53; P = .008). Older survivors were more likely to perceive alcohol as improving overall survival (adjusted OR, 2.39; P = .02). Rates of meeting moderate-to-vigorous physical activity guidelines 1 year before diagnosis (adjusted OR, 0.55; P = .02) and maintaining and improving their exercise levels to meet these guidelines after diagnosis (adjusted OR, 0.48; P = .02) were lower in older survivors. Older and younger cancer survivors reported similar rates of receiving lifestyle behavior information from health care providers (P = .36 to .98). CONCLUSION Older cancer survivors reported being less aware of the impact of smoking on their overall health, more likely perceived alcohol as beneficial to survival, and were less likely to meet exercise goals compared with younger survivors. Survivorship programs need to consider age when counseling on lifestyle behaviors.

Socioeconomic status and lifestyle behaviours in cancer survivors: smoking and physical activity.

PURPOSE Smoking cessation and increased physical activity (pa) have been linked to better outcomes in cancer survivors. We assessed whether socioeconomic factors influence changes in those behaviours after a cancer diagnosis. METHODS As part of a cross-sectional study, a diverse group of cancer survivors at the Princess Margaret Cancer Centre (Toronto, ON), completed a questionnaire about past and current lifestyle behaviours and perceptions about the importance of those behaviours with respect to their health. The influence of socioeconomic indicators on smoking status and physical inactivity at 1 year before and after diagnosis were assessed using multivariable logistic regression with adjustment for clinico-demographic factors. RESULTS Of 1222 participants, 1192 completed the smoking component. Of those respondents, 15% smoked before diagnosis, and 43% of those smokers continued to smoke after. The proportion of survivors who continued to smoke increased with lower education level (p = 0.03). Of the 1106 participants answering pa questions, 39% reported being physically inactive before diagnosis, of whom 82% remained inactive afterward. Survivors with a lower education level were most likely to remain inactive after diagnosis (p = 0.003). Lower education level, household income, and occupation were associated with the perception that pa had no effect or could worsen fatigue and quality of life (p ≤ 0.0001). CONCLUSIONS In cancer survivors, education level was a major modifier of smoking and pa behaviours. Lower socioeconomic status was associated with incorrect perceptions about pa. Targeting at-risk survivors by education level should be evaluated as a strategy in cancer survivorship programs.

Cancer Patients? Willingness to Routinely Complete the EQ-5D Instrument at Clinic Visits.

Evidence from literature illustrates that from a pathophysiological perspective, sulfonylureas (SU) may impact the heart three ways: directly by intrinsic properties from a pharmacological receptor perspective, indirectly by adverse effects related to hypoglycemia, and obesity. From a pharmacologlogical receptor perspective, SU can bind to ATP-sensitive potassium channels in cardiomyocytes. Channel binding by SU in cardiac tissue may prevent ischemia myocardial protective mechanisms. From a pathophysiological perspective, obesity is associated with cardiac issues such as pulmonary hypertension, left ventricular hypertrophy, arrhythmia, and atrial fibrillation. From a pathophysiological perspective, hypoglycemia is associated with cardiac sympathetic activation and QT prolongation. With the high prevalence and incidence of diabetes, obesity and aging, future basic and clinical studies should further explore the questions related to the pathophysiology of SU utilization and potential cardiac impact in randomized clinical trials and real-world outcome research settings.Chronic obstructive pulmonary disease (COPD) is a chronic progressive respiratory disease with partially reversible airway obstruction and lung hyperventilation progressing to increasingly frequent and severe exacerbations. The condition is mainly caused by smoking but may result from other causes such as environmental exposure or occupational hazards. Based on Statistics Canada survey data the prevalence of COPD is approximately 4% of the general population, or about 780,000 adults in Canada with 28,000 in Manitoba.

Canadian cancer site-specific health utility values: Creating the basis for measuring value and costs of therapy.

7 Background: Health utility values (HUVs) play an integral role when conducting health economic analyses, but a paucity of reference HUVs exists for cancer patients. Using EQ-5D, we generated reference HUVs for multiple malignancies. We further assessed patient willingness to compete the instrument on a regular basis by adding the EQ-5D to an Ontario-wide patient-reported symptom tool mandated by Cancer Care Ontario, the provincial cancer government agency. METHODS 1,831 cancer patients across all non-CNS solid and hematologic cancer sites at the Princess Margaret Cancer Centre completed the EQ-5D instrument; a subset (n=618) were asked about the acceptability of regularly completing the EQ-5D. HUVs were calculated using Canadian valuations. RESULTS The mean±SD HUV for all patients was 0.81±0.15, but were significantly different across different disease sites (p<0.0001): Testicular cancer, 0.87±0.13; prostate, 0.87±0.15; colorectal, 0.83±0.12; head/neck, 0.82±0.15; lymphoma, 0.82±0.15; breast, 0.81±0.17; esophageal, 0.81±0.16; ovarian, 0.79±0.15; leukemia, 0.78±0.15; lung, 0.78±0.13 and myeloma, 0.77±0.14. Confirming the validity of these HUVs, patients with PRO-ECOG scores of 0, 1, 2 and 3 had HUVs of 0.90±0.14, 0.77±0.11, 0.65±0.14 and 0.59±0.19, respectively (p<0.0001). In patients with solid tumors, those with local disease had HUVs of 0.82±0.15; metastatic disease, 0.80±0.15; p=0.015. 88% of patients reported that the EQ-5D was easy to complete, 92% took less than 5 minutes, 89% were satisfied with its length and 86% were satisfied with the types of questions asked. Importantly, 92% reported that they would complete the EQ-5D, even if it was used solely for research purposes and 73% agreed with the notion of completing it regularly at their clinic visits. CONCLUSIONS We present the first Canadian reference dataset of HUVs for common cancers; stage-and site-specific reference values will be presented at the meeting. Mean HUVs varied by disease site, performance status, and disease severity. Furthermore, a majority of patients surveyed were willing to complete the EQ-5D on a regular basis, suggesting that routine administration is feasible across Ontario.

Abstract B15: Second-hand smoke (SHS) and smoking cessation in non-tobacco related cancers

Introduction: Continued smoking after a diagnosis of cancer has been found to lead to poorer treatment response, reduced survival and quality of life and increased risk of second primary cancers. We have previously demonstrated that SHS (exposure at home, with spouses and peers) is a significant barrier to smoking cessation in tobacco-related (lung and head and neck) cancers with adjust odds ratios of 6-9 (PMID: 24419133, 23765604) for quitting 1 year after diagnosis and quitting at any time after diagnosis; relationships stronger than in non-cancer populations. Here, we examined whether this relationship exists in cancers that are not traditionally associated with smoking. Patients and Methods: Cancer survivors from a single tertiary cancer centre, Princess Margaret Cancer Centre (Toronto, Canada) completed a one-time cross-sectional questionnaire assessing their socio-demographics, functional status, smoking history and SHS exposure. Clinico-pathological variables were obtained through review of patient charts. Multivariate logistic regression and Cox-proportional hazard models evaluated the association of SHS with smoking cessation at 1 year after diagnosis and any time after diagnosis, and time-to-quitting respectively, adjusted for significant co-variates. Results: A total of 1011 non-tobacco related cancer survivors were surveyed between 2012 and 2014: 19% breast, 15% gastrointestinal, 16% genitourinary, 12% gynecological, 23% hematologic, 15% other. Median follow-up time after diagnosis was 26 months. Among the 162 patients currently smoking at diagnosis, 35% quit 1 year after diagnosis and 48% quit at any time after diagnosis. None of the 306 ex-smokers and 543 never smokers (re-)started smoking after diagnosis. Home exposure to SHS was found to be strongly associated with reduced smoking cessation in cancer patients at any time after diagnosis (aOR=4.28, 95% CI (1.56-11.78), P =4.8E-3), while there was a less strong and non-significant trend for home exposure to SHS and reduced smoking cessation at 1 year after diagnosis (aOR=2.56, 95% CI (0.91-7.22), P =0.08)). Time-to-quitting analysis for home exposure to SHS were consistent with these results (aHR=2.76, 95% CI (1.15-6.59), P =0.02)). Unlike lung and head and neck cancer patients, spousal and peer smoking were not found significantly associated with smoking cessation at either time-point ( P >0.05). Kaplan-Meier analysis found that 72% of patients who quit, did so within 1 year of their cancer diagnosis. When comparing factors between patients quitting one year after diagnosis versus quitting more than one year after diagnosis, those quitting at one year were more likely older ( P P =0.06). Conclusions: Home exposure to SHS is a significant barrier to quitting smoking after a diagnosis of cancer in both tobacco-related and non-tobacco related cancers; while spousal and peer smoking were not found significantly associated with smoking cessation in non-tobacco related cancers. Unlike in tobacco-related cancers, home exposure to SHS had a weaker association with quitting at 1 year after diagnosis than quitting at any time after diagnosis; suggesting the effect of the “teachable moment” with SHS and cancer may not be as strong in these cancers. Survivorship programs focusing on secondary prevention and smoking cessation in cancer patients should focus on incorporating SHS exposure. Citation Format: Lawson Eng, Xin Qiu, Jie Su, M Catherine Brown, Margaret Irwin, Dan Pringle, Hiten Naik, Chongya Niu, Mary Mahler, Henrique Hon, Kyoko Tiessen, Rebecca Charow, Henry Thai, Valerie Ho, Vivien Pat, Lindsay Herzog, Anthea Ho, Jennifer M. Jones, Doris Howell, David P. Goldstein, Meredith E. Giuliani, Wei Xu, Peter Selby, Geoffrey Liu. Second-hand smoke (SHS) and smoking cessation in non-tobacco related cancers. [abstract]. In: Proceedings of the Thirteenth Annual AACR International Conference on Frontiers in Cancer Prevention Research; 2014 Sep 27-Oct 1; New Orleans, LA. Philadelphia (PA): AACR; Can Prev Res 2015;8(10 Suppl): Abstract nr B15.

Involving clinic patients in systematic symptom reporting to improve cancer care: Exploring prevalence of sleep disturbances (SD) and fatigue (FAT).

68 Background: SD and FAT occur in 30-50% of cancer patients. Patient-reported outcome measure surveys are avenues through which healthcare providers (HCP) can receive symptom-related clinically relevant information directly from patients, and engage them in their own care plan. By asking patients to report symptoms rapidly through tablet/computer-based technology, HCPs can involve patients in the delivery of care. METHODS In a pilot study evaluating utility of systematic symptom reporting, 336 adult cancer patients across all stages and disease sites who were attending outpatient cancer clinics at Princess Margaret Cancer Centre (PMCC) (Toronto, Canada) completed electronic tablet-administered secure surveys on SD (Insomnia Severity Index) and FAT patterns (FACT-fatigue). These tools measured both symptom severity and interference with function. RESULTS With a median age of 59 (19-91) years, 55% female, across a broad distribution of cancer sites, 56% of our sample reported moderate to very severe (MTVS) SD over the last 7 days: 31% had MTVS difficulty falling asleep; 43% had MTVS difficulties staying asleep; 36% had MTVS problems waking up too early. While 62% who had MTVS SD were not distressed by their SD, 95% who were distressed by their SD met the criteria of MTVS SD. 78% of patients had any level of FAT over the last 7 days, with 40% reporting MTVS FAT. While 40% who had MTVS FAT were still able to perform their usual activities, 67% of patients who were not able to do their usual activities had MTVS FAT. CONCLUSIONS Across all stages and disease sites of cancer patients at PMCC, the prevalence of SD and FAT was both high. Severity and interference with function by FAT and SD were often distinct and non-overlapping. Involving patients in the systematic evaluation of symptoms, particularly using newer tablet-based technology within the clinic, was feasible. Through the use of patient reported electronic applications, patients could easily and systemically report their symptoms in real-time. FAT management has always been a high priority at our institution. However, based on our results, a cancer center-wide self-management plan is being considered for SD.

Effect of physical activity (PA) perceptions in cancer survivors on PA behaviors: Helping health care providers improve patient communication.

201 Background: While engagement in PA can lessen fatigue, improve quality of life (QOL) and/or improve survival in cancer survivors, to what extent patients are aware of this and how it affects their behavior is unclear. METHODS 1,244 adult cancer survivors across disease sites and stages (mostly curative) at the Princess Margaret Cancer Centre (PMCC) were surveyed about their perceptions of PA, the barriers that prevent them from being physically active, and their level of PA currently. Multivariable logistic regression evaluated the associations between clinical and socio-demographic factors on these perceptions and current activity levels. Analyses were adjusted for performance status and important covariates. RESULTS Cancer survivors were surveyed at a median of 26 months after diagnosis. 16% had breast, 12% GI, 26% gyne/GU, 14% head and neck, 6% lung and 19% hematologic cancers. 55% of survivors reported being physically active. Overall, 76% believed PA could lessen their fatigue, 91% reported PA could improve their QOL, and 89% felt PA could improve their 5-year survival. Common barriers to PA were: being too ill (41%), too tired (33%), too busy (29%) and having too many home responsibilities (28%). Older patients were more likely to believe that PA would not improve their fatigue (p=0.005) and not improve their 5-year survival (p=0.001). Lower household income was associated with belief in lack of benefit of PA on fatigue (p=0.0001) or QOL (p=0.02). Not perceiving benefit of PA on fatigue, QOL, or survival was associated with substantially lower levels of PA (p<0.01; each comparison), as was being older and having a lower income (p=<0.01, each comparison). CONCLUSIONS Older patients (even those with good performance status) and those coming from a lower socioeconomic status were more likely to have negative perceptions of the effect of PA on major cancer outcomes, resulting in lower PA levels. At PMCC, we are using this information to shape how we communicate with our patients in our survivorship program to help them with their decision-making on PA.

Complementary and alternative medicine and other health behaviors.

23 Background: Complementary and alternative medicine (CAM) use in patients with cancer has increased. A patients decision to seek CAM alongside conventional cancer treatment is complex. We evaluated whether patients who sought CAM were also more likely to engage in other healthy behaviours such as exercise, smoking cessation, alcohol reduction, and maintaining a healthy weight. METHODS As part of a larger survey of cancer survivors, 551 cancer patients across Princess Margaret Cancer Centre (Canada) were queried on clinico-demographic information, their use of CAM and other health-related behaviors (smoking, alcohol use, healthy weight, etc.). Multivariable logistic regression assessed each health behavior, adjusting for clinical factors associated with CAM use. RESULTS Females: 53%; median age: 54 years; Caucasian: 83%. Primary tumor sites: breast/gynecologic 22%; gastrointestinal/genitourinary 28%; hematologic 23%; lung/head and neck 12%. Following their cancer diagnosis, 43% used CAM. Being female (odds ratio=2.55, 95% CI [1.8-3.7], having higher education (2.08 [1.4-3.1]) or higher income (1.80 [1.2-2.7]), and having breast/gynaecological cancers (vs. all others; 2.82 [1.8-4.3]) were associated with greater CAM use. These factors served as adjustment variables for the analysis of behaviors. Behaviors associated with increased use of CAM included: use of CAM prior to diagnosis (10.6 [6.5-17.2]), participation in support groups (3.39 [2.1-5.6]), not being overweight or obese one year prior to diagnosis (1.82 [1.2-2.7]), and meeting Canadian physical activity guidelines either before diagnosis (1.80 [1.2-2.8]) or currently (1.70 [1.0-2.8]). No association was observed between CAM use and smoking status or cessation, alcohol intake or reduction, self-described diet habits prior to cancer diagnosis or dietary changes after diagnosis. CONCLUSIONS Some behaviors such as baseline and current physical activity, participation in support groups, not being overweight, and prior use of CAM were each associated with greater CAM use. Smoking, alcohol and diet were not associated with CAM use. Improved understanding of the reasons for CAM use can an improve patient-physician communication, decision-making, and treatment planning.