Provider Counseling about health behaviors among cancer survivors in the United States
ABSTRACT To examine provider discussion or counseling of US cancer survivors about diet, exercise, and tobacco use.
We used 2000 National Health Interview Survey data to examine whether US cancer survivors reported that, within 1 year, a provider (1) discussed diet, (2) recommended they begin or continue exercise, or (3) asked about smoking. We included survivors more than 1 year beyond diagnosis (n = 1,600) and adults without cancer (AWCs; n = 24,636) who saw/talked to a provider within 1 year. We used generalized linear contrasts in bivariable analyses and logistic regression to calculate predicted marginals adjusted for age, sex, comorbidity, usual source of care, and number of provider visits in the prior year.
Few survivors reported discussions or recommendations for all three health behaviors (10% of survivors v 9% of AWCs; P = .57). Although report was more likely than among AWCs, few survivors reported diet discussions (30% of survivors v 23% of AWCs; P < .0001) or exercise recommendations (26% of survivors v 23% of AWCs; P < .005), and a minority were asked about smoking (42% of survivors v 41% of AWCs; P = .41). After adjustment, survivors were less likely to report exercise recommendations than were AWCs (22% v 24%, respectively; P = .02). Colorectal cancer survivors were less likely than were AWCs of similar age range to report exercise recommendations (16% v 27%, respectively; P < .003) or smoking discussions (31% v 41%, respectively; P < .05). Cervical cancer survivors were more likely than AWCs of similar age range to discuss smoking (58% v 43%, respectively; P < .001).
Findings from this nationally representative sample suggest that many providers may miss opportunities to counsel survivors about healthy behaviors, perhaps particularly colorectal cancer survivors.
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ABSTRACT: Abstract Positive health-promoting behaviors, including both lifestyle factors (e.g., physical activity) and appropriate health service utilization (e.g., screening for secondary cancers), can minimize the health risks and challenges facing cancer survivors. The goal of this paper is to examine factors associated with positive health behaviors in 2615 post-treatment cancer survivors who completed the 2010 LIVESTRONG survey. Multivariate logistic regression was used model odds of reporting each of six positive health behaviors "as a result of your experience with cancer": three 'healthy lifestyle' behaviors and three 'health care utilization' behaviors. In fully-adjusted models, factors associated with greater likelihood of engaging in positive lifestyle behaviors (e.g., physical activity, changing diet) included sociodemographic factors, greater knowledge about how to reduce cancer risk; and reporting more psychological benefits due to cancer (ps < .01). Factors associated with greater likelihood of attending medical appointments and obtaining recommended cancer screenings included older age, better patient-provider communication, greater knowledge about how to reduce cancer risk, and more psychological benefits of cancer (ps <.01). Results suggest that knowledge about how to prevent cancer and benefit-finding after cancer are related to positive health behaviors broadly, whereas better patient-provider communication is associated with positive cancer screening and health care utilization but not healthy lifestyle behaviors. Clinical interventions targeting these modifiable factors could maximize positive health behavior changes among cancer survivors, affecting risk for cancer recurrence as well as overall health and well-being.Journal of Psychosocial Oncology 08/2014; 32(6). DOI:10.1080/07347332.2014.955243 · 1.04 Impact Factor
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ABSTRACT: BACKGROUND Given that continued smoking after a cancer diagnosis increases the risk of adverse health outcomes, patients with cancer are strongly advised to quit. Despite a current lack of evidence regarding their safety and effectiveness as a cessation tool, electronic cigarettes (E-cigarettes) are becoming increasingly popular. To guide oncologists' communication with their patients about E-cigarette use, this article provides what to the authors' knowledge is the first published clinical data regarding E-cigarette use and cessation outcomes among patients with cancer.METHODSA total of 1074 participants included smokers (patients with cancer) who recently enrolled in a tobacco treatment program at a comprehensive cancer center. Standard demographic, tobacco use history, and follow-up cessation outcomes were assessed.RESULTSA 3-fold increase in E-cigarette use was observed from 2012 to 2013 (10.6% vs 38.5%). E-cigarette users were more nicotine dependent than nonusers, had more prior quit attempts, and were more likely to be diagnosed with thoracic and head or neck cancers. Using a complete case analysis, E-cigarette users were as likely to be smoking at the time of follow-up as nonusers (odds ratio, 1.0; 95% confidence interval, 0.5-1.7). Using an intention-to-treat analysis, E-cigarette users were twice as likely to be smoking at the time of follow-up as nonusers (odds ratio, 2.0; 95% confidence interval, 1.2-3.3).CONCLUSIONS The high rate of E-cigarette use observed is consistent with recent articles highlighting increased E-cigarette use in the general population. The current longitudinal findings raise doubts concerning the usefulness of E-cigarettes for facilitating smoking cessation among patients with cancer. Further research is needed to evaluate the safety and efficacy of E-cigarettes as a cessation treatment for patients with cancer. Cancer 2014. © 2014 American Cancer Society.Cancer 11/2014; 120(22). DOI:10.1002/cncr.28811 · 5.20 Impact Factor
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ABSTRACT: Although cancer is often thought of as a teachable moment, many cancer survivors do not adhere to behavioral recommendations that might improve their health. This study explored health care providers' perspectives on the importance and feasibility of addressing behavior change, specifically healthy diet, with cancer survivors.Supportive Care Cancer 08/2014; 23(3). DOI:10.1007/s00520-014-2412-z · 2.50 Impact Factor