Population Estimates of Meeting Strength Training and Aerobic Guidelines, by Gender and Cancer Survivorship Status: Findings From the Health Information National Trends Survey (HINTS)

2015 ◽  
Vol 12 (5) ◽  
pp. 675-679 ◽  
Author(s):  
Allison Ottenbacher ◽  
Mandi Yu ◽  
Richard P. Moser ◽  
Siobhan M. Phillips ◽  
Catherine Alfano ◽  
...  

Background:Evidence is building that strength training may reduce complications associated with cancer such as fatigue, muscle wasting, and lymphedema, particularly among breast and prostate cancer survivors. Population estimates are available for rates of aerobic physical activity; however, data on strength training in this population are limited. The objective of this study was to identify rates of meeting public health recommendations for strength training and aerobic activity among cancer survivors and individuals with no cancer history.Methods:Data from the Health Information National Trends Survey (HINTS), Iteration 4 Cycle 1 and Cycle 2 were combined to conduct the analyses. Missing data were imputed, and weighted statistical analyses were conducted in SAS.Results:The proportion of individuals meeting both strength training and aerobic guidelines were low for both cancer survivors and those without a history of cancer. The odds of meeting strength training guidelines were significantly lower for women with a history of any cancer except breast, compared with women with no history of cancer (OR: 0.70, 95% CI: 0.51−0.96).Conclusions:More work needs to be done to understand why women with cancers other than breast, may be less inclined to engage in aerobic physical activity and strength training.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 9009-9009 ◽  
Author(s):  
Lisa Sprod ◽  
Supriya Gupta Mohile ◽  
Lin Fan ◽  
Michelle Christine Janelsins ◽  
Luke Joseph Peppone ◽  
...  

9009 Background: Functional limitations (FL) increase with age, as does cancer incidence. Treatments for cancer may exacerbate age-related FL. Physical activity (PA) reduces the risk of recurrence of some cancers and may improve survival. FL may reduce PA participation in geriatric cancer survivors (>65 yrs.) which could increase the risk of recurrence and reduce survival. This investigation describes and compares patterns of PA and FL in geriatric cancer survivors versus those without a cancer history. Methods: Using a national sample of community-dwelling elders (> 65 yrs.) from the 2003 Medicare Current Beneficiary Survey (N=14,887), we characterized the differences between cancer survivors and those without a cancer history in FL, current amount of PA, and current amount of PA compared to PA one year prior. Respondents rated FL on a 1-5 scale (1=no difficulty, 5=can’t do): stooping, crouching, or kneeling (stoop), carrying objects up to 10 lbs (lift), extending arms above shoulder level (reach), grasping small objects (grasp), and walking ¼ of a mile (walk). Frequency of walking for a least 10 minutes (1-5 rating scale; 1=daily, 5=never), weekly participation in PA, exercise, or sports (yes/no), and time spent doing moderate or vigorous PA (hrs/wk) were reported. Multivariate logistic regression was used to determine associations. Results: Of the 14,887 participants, 2,603 (6%) reported a history of cancer. Compared to those without a cancer history, a greater proportion of cancer survivors reported having difficulty or being unable to stoop, lift, reach, grasp or walk (all p<0.01). Cancer survivors who had more FL were less likely to engage in PA (all p<0.01). Cancer survivors reported a lower frequency of walking at least 10 minutes at a time (p<0.01). Cancer survivors were more likely to decrease PA from the previous year (p<0.01) and spent less time doing moderate (p=0.01) or vigorous activity (p<0.01) than those without a cancer history. Conclusions: Older cancer survivors engage in less PA and are at greater risk of FL than those without a history of cancer. This may lead to reduced independence, a greater risk of cancer recurrence, and reduced survival. Therefore, PA interventions are important in this population.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S649-S650
Author(s):  
Giancarlo Pasquini ◽  
Brent J Small ◽  
Jacqueline Mogle ◽  
Martin Sliwinski ◽  
Stacey B Scott

Abstract Breast cancer survivors may experience accelerated decline in cognitive functioning compared to same-aged peers with no cancer history (Small et al., 2015). Survivors may show important differences in mean-level performance or variability in cognitive functioning compared to those without a history of cancer (Yao et al., 2016). This study compared ambulatory cognitive functioning in a sample of breast cancer survivors and an age-matched community sample without a history of cancer (n_cancer=47, n_non-cancer=105, age range: 40-64 years, M=52.13 years). Participants completed three cognitive tasks measuring working memory, executive functioning, and processing speed up to five times per day for 14 days. Results indicated no mean-level differences in cognitive performance on the three tasks between cancer survivors and those without cancer history (p’s&gt;.05). Unexpectedly, women without cancer history showed more variability than survivors on working memory but not on the other two tasks. Across both groups, those without a college education performed worse on executive functioning (B=-0.05, SE=0.03, p&lt;.05) and working memory (B=0.94, SE=0.36, p&lt;.05) compared to those that completed college. Additionally, older age was associated with slower processing speed (B=31.67, SE=7.44, p&lt;.001). In sum, this study did not find mean-level group differences in cognitive functioning between cancer survivors and age-matched women without a history of cancer. Contrary to hypotheses, those without a history of cancer were more variable on working memory. Results suggested similarities in cognitive functioning in the two samples and that education and age are important predictors of cognitive functioning independent of cancer history.


1995 ◽  
Vol 26 (2) ◽  
pp. 12-16 ◽  
Author(s):  
John V. Conti

Job discrimination against persons with a history of cancer is common and is found at all skill levels and throughout all fields of employment. Irrational fears, lack of current information, and distortions in perception prevent counselors, and society in general, from viewing the work potential of persons with a cancer history objectively. Due to significant improvements in the treatment of some forms of cancer, there is a large new group of young cancer survivors in need of guidance and advocacy to enter or re-enter the job market. Legal protections are in place but largely unused by cancer survivors. Suggestions are offeredfor increasing individual and systemic advocacy for this population, and some recommendations for future effort are made.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18085-e18085
Author(s):  
Maryam Doroudi ◽  
Diarmuid Coughlan ◽  
Matthew P. Banegas ◽  
K Robin Yabroff

e18085 Background: Financial hardships experienced by cancer survivors in the United States have become significant social and public health issues. Few studies have assessed the underlying financial holdings, including ownership and values of assets and debts, of individuals following a cancer diagnosis. This study assessed the association between a cancer history and asset ownership, debt, and net worth. Methods: We identified 1,603 cancer survivors and 34,915 individuals without a history of cancer aged 18-64 from the nationally representative Medical Expenditure Panel Survey (MEPS) Household Component and Asset sections (years 2008-2011). Descriptive statistics were used to assess demographic characteristics, cancer history, asset ownership, debt, and net worth by cancer history. Regression analysis was conducted to assess the association between cancer history and net worth, stratified by age group (18-34, 35-44, 45-54, and 55-64 years) to reflect stages of the life-course. Results: Asset ownership was least common for cancer survivors and individuals without a cancer history in the 18-34 age group and most common in the 55-64 age group. Cancers survivors aged 45-54 had a lower proportion of home ownership than individuals without a cancer history (59% vs 67%; p = 0.001). Nearly 20% of all respondents reported at least some debt. The proportion of cancer survivors with debt was higher than individuals without a history of cancer, especially in the 18-34 age group (41% vs 27%; p < 0.001), although it did not vary by age group. When asset and debt values were combined to assess net worth, cancer survivors aged 45-54 were significantly more likely to have a negative net worth and significantly less likely to have a positive net worth than those individuals without a history of cancer in fully adjusted models. Findings on net worth were similar in the 18-34 age group, although only statistically significant in unadjusted and partially adjusted models. Conclusions: We found that cancer history is associated with asset ownership, debt, and net worth, especially in those aged 45-54 years. Longitudinal studies to assess patterns of financial holdings throughout the cancer experience are warranted.


2015 ◽  
Vol 20 (6) ◽  
pp. 656-662 ◽  
Author(s):  
Bang Hyun Kim ◽  
Sherrie F. Wallington ◽  
Kepher H. Makambi ◽  
Lucile L. Adams-Campbell

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 121-121
Author(s):  
Changchuan Jiang ◽  
Lei Deng ◽  
Qian Wang ◽  
Stuthi Perimbeti ◽  
Xuesong Han

121 Background: Lack of transportation delayed medical care for approximately 6 million Americans in 2017. Prior studies showed cancer survivors tend to have more healthcare service use, higher medical cost, and adverse clinical outcomes. It is important to understand the prevalence of, risk factors for, and long-term health consequences of transportation barrier to health care among cancer survivors. Methods: We identified cohorts of adult with history of cancer (n = 25,317) and adults without history of cancer (n = 422,797) from the 2000-2014 National Health Interview Survey (NHIS). Transportation barriers were measured as medical care delay due to lack of transportation in the past 12 months using a survey question. The prevalence of transportation barriers was estimated using multivariable logistic models. Risk of mortality estimated with weighted Cox’s proportional hazards models with age as the time scale, adjusting for sex, race/ethnicity, educational attainment, marital status, region, comorbidities, and survey year. All analyses accounted for complex survey design using SAS statistical software, version 9.4 (SAS Institute Inc.), and SAS callable SUDAAN 11.0.3. Results: After adjustment for sociodemographic factors and comorbidities, the prevalence of transportation barrier were significantly higher among cancer survivors than among respondents without cancer history (2.1% vs 1.6%, p = 0.001, adjusted odd ratio [OR], 1.22; 95% confidence interval (95CI): 1.10-1.35). Cancer survivors with transportation barrier were more likely to be younger, female, Hispanic or Asian/Pacific Islander, less educated, unmarried, public insurance beneficiary or uninsured, and with more comorbidities. Among all participants, cancer survivors with transportation barrier had the highest adjusted mortality risk (hazard ratio [HR]: 2.12, 95CI: 1.81-2.49); followed by cancer survivors without transportation barrier (HR: 1.53, 95CI: 1.42-1.65); and adults without a cancer history with transportation barrier (HR: 1.50; 95CI: 1.45-1.55) compared with adults with neither a cancer history nor transportation barrier. Conclusions: Transportation barriers to health care had a disproportionate impact on cancer survivors, especially those who are underserved, and who have more medical needs. Increased risk of mortality was observed among adults with and without a cancer history who delayed care due to lack of transportation. It highlights the need for efforts to mitigate transportation barriers to medical care during a time of rapid change in transportation and telehealth technology.


2019 ◽  
Vol 21 (12) ◽  
pp. 1636-1643 ◽  
Author(s):  
Christine M Swoboda ◽  
Daniel M Walker ◽  
Timothy R Huerta

Abstract Introduction Cancer survivors are at high risk for cancer reoccurrence, highlighting the importance of managing behavioral risk factors for cancer. Despite this risk, many cancer survivors continue to smoke cigarettes. This article describes the relationship between smoking behavior and demographic and clinical factors in cancer survivors. Methods Multinomial logistic regression of cross-sectional data from the Health Information National Trends Survey was conducted using combined data from years 2003, 2005, 2007, 2011, 2012, 2013, and 2014. Independent variables included age, cancer history, race, education level, marital status, insurance status, and data year; the dependent variable was smoking status (current vs. former or never). Results Cancer survivors were less likely to be current smokers but more likely to be former smokers than those with no history of cancer. Cancer survivors that currently smoked were more likely to have lower education levels, be divorced, separated, or single, or not have health insurance. Older cancer survivors, Hispanic, and non-Hispanic black survivors were less likely to smoke. Among cancer subgroups, prostate cancer survivors had the lowest rate (8.8%) of current smoking from 2011 to 2014, and cervical cancer survivors had the highest rate (31.1%). Conclusions Although those with no history of cancer had higher rates of current smoking, many subgroups of cancer survivors continued to smoke at higher rates than average cancer survivors. Cancer survivors that were younger, had lower education levels, were any marital status other than married or widowed, were uninsured, or survived cervical cancer were more likely to be smokers than other survivors. Implications It is important to understand which types of cancer survivors are at high risk of continued smoking to better inform tobacco dependence treatment interventions among those at high risk of cancer reoccurrence. Our findings suggest targeted tobacco dependence treatment efforts among cancer survivors should focus on survivors of cervical cancer and survivors that are young, unmarried, uninsured, or have lower education levels.


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