Partnership Status and Socioeconomic Factors in Relation to Health Behavior Changes after a Diagnosis of Ductal Carcinoma In Situ

Characterizing risky alcohol use, cigarette smoking, e-cigarette use, and physical inactivity among cancer survivors in the USA-a cross-sectional study

PURPOSE

Unhealthy lifestyle behaviors are associated with inferior health outcomes among cancer survivors, including increased mortality. It is crucial to identify vulnerable subgroups, yet investigations have been limited. Thus, this study aimed to examine sociodemographic and clinical characteristics associated with risky health behaviors among cancer survivors.

METHODS

We used national, cross-sectional survey data (Health Information National Trends Survey, HINTS 2017-2020) for 2579 cancer survivors. We calculated the prevalence of risky alcohol use, current cigarette smoking, e-cigarette use, and not meeting physical activity guidelines. We performed weighted logistic regression to obtain multivariable-adjusted odds ratios (OR) for the association between each unhealthy behavior with sociodemographic and clinical characteristics.

RESULTS

Overall, 25% showed risky alcohol use, 12% were current cigarette smokers, 3% were current e-cigarette users, and 68% did not meet physical activity guidelines. Cancer survivors who were males, non-Hispanic Whites or African Americans, without a college education, not married and with comorbidities or psychological distress were more likely to have unhealthy behaviors. Those with lung disease or depression were 2 times as likely to smoke cigarette or e-cigarettes and those with psychological distress were 1.6 times as likely to be physically inactive. Moreover, risky drinkers (OR = 1.75, 95% CI = 1.22-2.52) and e-cigarette smokers (OR = 16.40, 95% CI 3.29-81.89) were more likely to be current cigarette smokers.

CONCLUSIONS

We identified vulnerable subpopulations of cancer survivors with multiple unhealthy lifestyle behaviors.

IMPLICATIONS FOR CANCER SURVIVORS

Our findings inform clinicians and program and policy makers of the subgroups of cancer survivors to target for multiple health behavior interventions.

Dynamics of Long-Term Patient-Reported Quality of Life and Health Behaviors After Adjuvant Breast Cancer Chemotherapy

We aimed to characterize long-term quality of life (QOL) trajectories among patients with breast cancer treated with adjuvant chemotherapy and to identify related patterns of health behaviors.

Determinants of use of oral complementary-alternative medicine among women with early breast cancer: a focus on cancer-related fatigue

BACKGROUND

Despite the questionable effectiveness of oral complementary and alternative medicine (OCAM) in relieving cancer-related symptoms, including fatigue (CRF), many patients use it aiming to improve their quality of life. We assessed factors associated with OCAM use, focusing on CRF.

METHODS

Women with stage I-III breast cancer (BC) were included from CANTO (NCT01993498). OCAM use was defined as taking homeopathy, vitamins/minerals, or herbal/dietary supplements. Multivariable multinomial logistic regressions evaluated associations of CRF (EORTC QLQ-C30), patient, and treatment characteristics with OCAM use.

RESULTS

Among 5237 women, 23.0% reported OCAM use overall (49.3% at diagnosis, 50.7% starting post-diagnosis), mostly homeopathy (65.4%). Mean (SD) CRF score was 27.6 (24.0) at diagnosis and 35.1 (25.3) at post-diagnosis. More intense CRF was consistently associated with OCAM use at diagnosis and post-diagnosis [adjusted odds ratio (aOR) for 10-point increase 1.05 (95% Confidence interval 1.01-1.09) and 1.04 (1.01-1.09) vs. never use, respectively]. Odds of using OCAM at diagnosis were higher among older [for 5-year increase, 1.09 (1.04-1.14)] and more educated patients [college vs. primary 1.80 (1.27-2.55)]. Women with income > 3000 [vs. < 1500 euros/month, 1.44 (1.02-2.03)], anxiety [vs. not, 1.25 (1.01-1.54)], and those receiving chemotherapy [vs. not, 1.32 (1.04-1.68)] had higher odds of using OCAM post-diagnosis.

CONCLUSION

One-in-four patients reported use of OCAM. More severe CRF was consistently associated with its use. Moreover, older, better educated, wealthier, more anxious women, and those receiving chemotherapy seemed more prone to use OCAM. Characterizing profiles of BC patients more frequently resorting to OCAM may help deliver targeted information about its benefits and potential risks.

Unhealthy behaviors after breast cancer: Capitalizing on a teachable moment to promote lifestyle improvements

BACKGROUND

This study assessed the prevalence and risk factors of unhealthy behaviors among survivors of early-stage breast cancer.

METHODS

Women (n = 9556) from the CANcer TOxicity cohort (NCT01993498) were included. Physical activity (PA), tobacco and alcohol consumption, and body mass index were assessed at diagnosis and at years 1 and 2 after diagnosis. A behavior was defined as unhealthy if patients failed to meet PA recommendations (≥10 metabolic equivalent task hours per week), reduce/quit tobacco, or decrease alcohol consumption to less than daily, or if they gained substantial weight over time. Multivariable-adjusted generalized estimating equations explored associations with unhealthy behaviors.

RESULTS

At diagnosis, 41.7% of patients were inactive, 18.2% currently used tobacco, 14.6% consumed alcohol daily, and 48.9% were overweight or obese. At years 1 and 2, unhealthy PA behavior was reported among 37.0% and 35.6% of patients, respectively, unhealthy tobacco use behavior was reported among 11.4% and 9.5%, respectively, and unhealthy alcohol behavior was reported among 13.1% and 12.6%, respectively. In comparison with the previous assessment, 9.4% and 5.9% of underweight and normal-weight patients had transitioned to the overweight or obese category at years 1 and 2, respectively, and 15.4% and 16.2% of overweight and obese patients had gained ≥5% of their weight at years 1 and 2, respectively. One in 3 current tobacco smokers and 1 in 10 daily alcohol users reported improved behaviors after diagnosis. Older women (5-year increment) were more likely to be inactive (adjusted odds ratio [aOR], 1.03; 95% confidence interval [CI], 1.01-1.05) and report unhealthy alcohol behavior (aOR, 1.28; 95% CI, 1.23-1.33) but were less likely to engage in unhealthy tobacco use (aOR, 0.81; 95% CI, 0.78-0.85). Being at risk for depression (vs not being at risk for depression) was associated with reduced odds of unhealthy tobacco use (aOR, 0.67; 95% CI, 0.46-0.97) and with a higher likelihood of unhealthy alcohol behavior (aOR, 1.58; 95% CI, 1.14-2.19). Women with a college education (vs a primary school education) less frequently reported an unhealthy PA behavior (aOR, 0.61; 95% CI, 0.51-0.73) and were more likely to report unhealthy alcohol behavior (aOR, 1.85; 95% CI, 1.37-2.49). Receipt of chemotherapy (vs not receiving chemotherapy) was associated with higher odds of gaining weight (aOR, 1.51; 95% CI, 1.23-1.87) among those who were overweight or obese at diagnosis.

CONCLUSIONS

The majority of women were adherent to healthy lifestyle behaviors at the time of their breast cancer diagnosis, but a significant subset was nonadherent. Unhealthy behaviors tended to persist after the breast cancer diagnosis, having varying clinical, psychological, sociodemographic, and treatment-related determinants. This study will inform more targeted interventions to promote optimal health.

The role of social support in physical activity for cancer survivors: A systematic review

OBJECTIVE

Social support is conceptualized and operationalized in many ways, making it challenging to understand what types of support best predict physical activity (PA) in cancer survivors. This review examined associations between social support and PA among cancer survivors.

METHODS

Following PRISMA guidelines, we searched eight databases for studies that reported an association between social support and PA among adult cancer survivors. We conducted an appraisal and a narrative synthesis of the findings from quantitative studies.

RESULTS

Fifty studies representing 28 366 participants were included. Studies collectively included concepts addressing the presence of relationships, others' PA behavior, perceptions of being supported, and function/quality. Findings were mixed in suggesting a positive or null association with PA.

CONCLUSIONS

While results are not definitive, this review takes a step toward mapping the social support literature in PA for cancer survivors. Limitations include the homogeneity of the participants in extant studies, and the secondary focus on testing the effects of social support on outcomes. Future research systematically testing the effects of social support is important for facilitating PA in this population.

The association between post-diagnosis health behaviors and long-term quality of life in survivors of ductal carcinoma in situ: a population-based longitudinal cohort study

PURPOSE

Women diagnosed with ductal carcinoma in situ (DCIS) often experience adverse changes in health-related behaviors following diagnosis. The impact of health behaviors on long-term quality of life (QoL) in DCIS survivors has not been investigated.

METHODS

We examined the association of post-diagnosis body mass index (BMI), physical activity, alcohol, and smoking with QoL among 1448 DCIS survivors aged 20-74 enrolled in the population-based Wisconsin in situ Cohort from 1997 to 2006. Health behaviors and QoL were self-reported during biennial post-diagnosis interviews. Physical and mental QoL were measured using the validated SF-36 questionnaire. Generalized linear regression was used to determine the association between behaviors and QoL with adjustment for confounders. Lagged behavior variables were used to predict QoL during follow-up and avoid reverse causation.

RESULTS

Women reported 3,536 QoL observations over an average 7.9 years of follow-up. Women maintaining a healthy BMI had on average a significantly higher summary measure score of physical QoL than obese women (normal versus obese: β = 3.02; 2.18, 3.85). Physical QoL scores were also elevated among those who were physically active (5 + h/week vs. none: β = 1.96; 0.72, 3.20), those consuming at least seven drinks/week of alcohol (vs. none; β = 1.40; 0.39, 2.41), and nonsmokers (vs. current smokers: β = 1.80; 0.89, 2.71). Summary measures of mental QoL were significantly higher among women who were moderately physically active (up to 2 h/week vs. none: β = 1.11; 0.30, 1.92) and nonsmokers (vs. current smokers: β = 1.49;0.45, 2.53).

CONCLUSIONS

Our results demonstrate that maintaining healthy behaviors following DCIS treatment is associated with modest improvements in long-term QoL. These results inform interventions aimed at promoting healthy behaviors and optimizing QoL in DCIS survivors.

Health-related behaviors and mortality outcomes in women diagnosed with ductal carcinoma in situ

PURPOSE

Women diagnosed with ductal carcinoma in situ (DCIS) of the breast are at greater risk of dying from cardiovascular disease and other causes than from breast cancer, yet associations between health-related behaviors and mortality outcomes after DCIS have not been well studied.

METHODS

We examined the association of body mass index, physical activity, alcohol consumption, and smoking with mortality among 1925 women with DCIS in the Wisconsin In Situ Cohort study. Behaviors were self-reported through baseline interviews and up to three follow-up questionnaires. Cox proportional hazards regression was used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for mortality after DCIS, with adjustment for patient sociodemographic, comorbidity, and treatment factors.

RESULTS

Over a mean of 6.7 years of follow-up, 196 deaths occurred. All-cause mortality was elevated among women who were current smokers 1 year prior to diagnosis (HR = 2.17 [95% CI 1.48, 3.18] vs. never smokers) and reduced among women with greater physical activity levels prior to diagnosis (HR = 0.55 [95% CI: 0.35, 0.87] for ≥5 h per week vs. no activity). Moderate levels of post-diagnosis physical activity were associated with reduced all-cause mortality (HR = 0.31 [95% CI 0.14, 0.68] for 2-5 h per week vs. no activity). Cancer-specific mortality was elevated among smokers and cardiovascular disease mortality decreased with increasing physical activity levels.

CONCLUSIONS

There are numerous associations between health-related behaviors and mortality outcomes after a DCIS diagnosis.

IMPLICATIONS FOR CANCER SURVIVORS

Women diagnosed with DCIS should be aware that their health-related behaviors are associated with mortality outcomes.