Literature DB >> 25211504

Self-reported physical activity among middle-aged cancer survivors in the United States: Behavioral Risk Factor Surveillance System Survey, 2009.

Pratibha Nayak1, Holly M Holmes2, Hoang T Nguyen2, Linda S Elting2.   

Abstract

INTRODUCTION: Regular physical activity (PA) can improve health outcomes in cancer survivors, but the rate of adherence to PA recommendations among middle-aged survivors is unclear. We examined adherence to PA recommendations among cancer survivors and controls. We sought to identify correlates of adherence to PA and to determine whether PA adherence is associated with health-related quality of life (HRQOL) among cancer survivors.
METHODS: We examined PA adherence among 8,655 cancer survivors and 144,213 control subjects aged 45-64 years who were respondents to the 2009 Behavior Risk Factor Surveillance System survey. We used multinomial logistic regression to assess associations between PA adherence and demographic, psychosocial, and clinical factors, and multivariable linear regression to assess the relationship between PA adherence and HRQOL of cancer survivors.
RESULTS: Cancer survivors and control subjects had similar rates of PA adherence. Of the survivors, 47% met the recommendations of 150 minutes of moderate-intensity PA or 120 minutes of vigorous-intensity PA per week, 41% were somewhat active, and 12% were sedentary. Compared with cancer survivors who were sedentary, survivors who were somewhat active were less likely to be obese (odds ratio [OR], 0.65; P < .007), and those who met PA recommendations were less likely to be overweight (OR, 0.61; P < .002) or obese (OR, 0.33, P < .001). Regression analysis indicated that PA adherence was positively correlated with HRQOL (P < .001).
CONCLUSION: Most cancer survivors did not meet PA recommendations, but those who are active seem to have improved HRQOL. Therefore, targeted interventions to improve adherence to PA among cancer survivors are needed.

Entities:  

Mesh:

Year:  2014        PMID: 25211504      PMCID: PMC4165550          DOI: 10.5888/pcd11.140067

Source DB:  PubMed          Journal:  Prev Chronic Dis        ISSN: 1545-1151            Impact factor:   2.830


Introduction

The number of cancer survivors living in the United States today is estimated to be more than 13.7 million (1). Among cancer survivors, 35% are middle-aged adults, most commonly with a diagnosis of melanoma or of cancers of the breast, colon, prostate, or cervix. Advances in cancer treatment have improved 5-year survival rates beyond 69% for individuals whose disease was diagnosed at middle age (2); however, these cancer survivors can experience late-onset and long-term effects of treatment, such as radiation injury or cardiovascular disease, 10 or more years after their initial cancer treatment (3). Cancer survivors have increased comorbidity burden, activity limitations, and varied practice of health behaviors (4,5). Meta-analysis has associated regular physical activity (PA) after cancer diagnosis with reduced adverse effects of cancer treatment (6). Some benefits of PA reported among breast cancer survivors are improved quality of life (7) and decreased anxiety, depression (8), fatigue (9), and risk of developing other chronic diseases (10). Two reports from meta-analyses urged researchers to examine the range and magnitude of positive effects of PA among the diverse population of cancer survivors (7,11). Most patients with cancer will survive at least 5 years (2), and the positive effects of PA ameliorate the negative consequences of cancer treatment. Therefore, determining the rates of PA adherence and correlates to such adherence is important. This study describes adherence to PA recommendations among cancer survivors compared with control subjects without cancer and the association between survivor adherence to PA guidelines and demographic, psychosocial, and clinical factors, as well as health-related quality of life (HRQOL). Our findings may help public health practitioners design PA interventions for this growing population and ultimately improve quality of life among survivors.

Methods

We used data from the 2009 Behavioral Risk Factors Surveillance System (BRFSS) survey (12), which is conducted annually among a large, representative sample of noninstitutionalized adults in the United States and US Territories (District of Columbia, Guam, Puerto Rico, and the Virgin Islands). The participants were selected using random-digit–dialing. The core questionnaire consisted of questions on demographics, health behaviors, and chronic conditions. Respondents were asked about their cancer history as part of the core questionnaire. We used this item to determine cancer survivor and control groups. Cancer survivors were defined as respondents who said yes when asked if they had ever been told by a doctor, nurse, or other health professional that they had cancer or a cancer history. Respondents who reported not having had any type of cancer were considered control subjects. Cancer survivors were asked the number of types of cancers diagnosed, age at diagnosis, and type of cancer. We restricted the sample for both cancer survivors and control subjects to respondents aged 45–64 years so we could perform an age-matched comparison. We restricted cancer survivors to those who had the most common types of cancer (breast, bladder, cervical, colon, prostate cancer, or melanoma), which allowed for a comparison across PA levels. We excluded cancer survivors who were within 1 year of their cancer diagnoses to eliminate the effect of active treatment on PA.

Measures

PA recommendations. The core questionnaire contains 6 items on PA, including the duration, frequency, and intensity of moderate to vigorous PA per week (Appendix). The survey defines vigorous-intensity PA as activity that causes large increases in breathing or heart rate, and moderate-intensity PA as activity that causes small increases in breathing or heart rate. We used information collected via these survey items to determine adherence to PA guidelines. We defined adherence to PA guidelines as 150 minutes of moderate-intensity PA or 120 minutes of vigorous-intensity PA per week, as stated by professional medical organizations (13). We categorized PA adherence into 3 groups: meeting guidelines, somewhat active, or sedentary. We defined “meeting guidelines” as engaging in moderate-intensity PA for 30 or more minutes per day on 5 or more days per week, or doing vigorous-intensity PA for 20 or more minutes per day on 3 or more days per week. We categorized as “somewhat active” respondents who reported doing moderate-intensity PA for less than 30 (but more than 10) minutes per day on fewer than 5 days per week or doing vigorous-intensity PA for less than 20 (but more than 10) minutes per day on fewer than 3 days per week. Respondents who reported doing no moderate or vigorous PA were categorized as sedentary. Health-related quality of life (HRQOL). The HRQOL was measured using 3 separate items: poor physical health, poor mental health, and poor overall health. We measured poor physical health with a question about “the number of days during the past 30 days when one’s physical health was not good.” We measured poor mental health with a question about “the number of days during the past 30 days when one’s mental health was not good.” We measured poor overall health with a question about “the number of days during the past 30 days when one’s physical or mental health kept one from doing one’s usual activities.” For each of these items, respondents indicated the total number of days in the previous 30 days when they felt that their physical or mental health was poor or activities were limited. The higher the score, the poorer that person’s HRQOL. Demographic, psychosocial, and clinical factors. Self-reported information was included on sex, race/ethnicity (white, African American, Hispanic, or other), education (more than high school, high school, or less than high school), emotional support (never or always/sometimes), type of cancer (breast, bladder, cervical, colon, prostate, or melanoma), and time since diagnosis (1–2, 2–5, 5–10, or >10 years). Body mass index (BMI) was stratified into 3 categories: normal weight (BMI 18–24.9 kg/m2), overweight (BMI 25–29.9 kg/m2), or obese (BMI >30 kg/m2). We derived the comorbidity count using the single-item questions on comorbid conditions. Respondents were asked whether a health care professional had ever told them they had diabetes, hypertension, arthritis, hyperlipidemia, heart attack, angina, or stroke. We summed the response to heart attack, angina, and stroke into a single binary variable of “cardiovascular diseases.” We coded a response of yes as 1 and a response of no as zero. We summed the scores for the 5 items to create a count of comorbid conditions (0–5). We then categorized the comorbidity count into 3 levels: 0, 1–2, and >2. To account for the complex survey design of the BRFSS, we used SAS version 9.3 (SAS Institute, Inc) survey procedure with weighted analyses. Cross tabs and chi-squared statistics were used to examine differences in demographic characteristics for categorical variables, and means were used to examine continuous variables. To estimate the adjusted odds ratios and 95% confidence intervals (CIs) for the PA adherence category, we used a multinomial logistic regression, controlling for sex, race or ethnicity, education, emotional support, cancer type, time since diagnosis, BMI, and comorbidity count. We used multivariable linear regression to examine the differences in HRQOL domains (ie, mean difference in number of days of poor physical and mental health) among cancer survivors who met PA guidelines or were somewhat active compared with those who were sedentary, while adjusting for sex, race, education, emotional support, cancer type, time since diagnosis, BMI, and comorbidity count. Significance was set at .05 a priori for all analyses.

Results

The cancer survivors were older, mostly women, and predominantly white compared with noncancer control subjects (Table 1). The population estimates for comorbidity burden (≥1 comorbidity) were higher among cancer survivors (79%) than among control subjects (69%). No meaningful difference (P > .419) in adherence to PA guidelines was noted between cancer survivors and control subjects.
Table 1

Cancer Survivors and Noncancer Control Subjects in the United States, Behavioral Risk Factor Surveillance System Survey, 2009

CharacteristicCancer Survivors
Noncancer Control Subjects
Sample Sizea = 8,665Population Estimates (%)Sample Sizea = 144,213Population Estimates (%)
Age
45–54 years2,9001,293,506 (40)71,36536,649,702 (58)
Sex
Female6,2852,133,893 (66)85,86131,394,779 (50)
Race/ethnicity
White7,4072,640,178 (82)116,74846,379,122 (74)
African American535258,049 (8)11,7686,077,012 (10)
Hispanic259153,028 (5)7,1746,275,716 (10)
Other408151,802 (5)7,3943,575,296 (6)
Education level
High school diploma or less5,3211,906,112 (59)90,19738,414,000 (61)
Annual income
<25K1,931560,953 (19)28,97311,528,196 (20)
25–50K2,038679,970 (23)33,39413,005,105(23)
>50K3,9691,707,511 (58)68,88432,793,571 (57)
Body mass indexb
Normal2,6951,011,593 (32)42,46117,683,155 (29)
Overweight3,0471,146,104 (37)51,65123,735,150 (39)
Obese2,626974,028 (31)44,54219,290,183 (32)
Comorbidity count
01,758693,510 (21)42,26119,407,186 (31)
1–24,8581,801,207 (56)76,29132,961,458 (52)
>22,049733,592 (23)25,65910,448,666 (17)
Physical activity levelsc
Meet physical activity guidelines4,0681,518,975 (47)68,57030,003,912 (48)
Somewhat active3,4481,329,279 (41)57,36825,123,116 (40)
Sedentary1,149380,054 (12)18,2757,691,285 (12)

Sample size refers to the observed number of units in the sample that share a given characteristic, and population estimate is the corresponding estimated number in the population.

Body mass index, calculated as weight (kg)/[height (m)]2 , was stratified into 3 categories: normal weight (BMI 18.0–24.9 kg/m2), overweight (BMI 25.0–29.9 kg/m2), or obese (BMI >30.0 kg/m2).

Physical activity was categorized as meeting guidelines (>120–150 min/wk), somewhat active (11–149 min/wk) and sedentary (no physical activity).

Sample size refers to the observed number of units in the sample that share a given characteristic, and population estimate is the corresponding estimated number in the population. Body mass index, calculated as weight (kg)/[height (m)]2 , was stratified into 3 categories: normal weight (BMI 18.0–24.9 kg/m2), overweight (BMI 25.0–29.9 kg/m2), or obese (BMI >30.0 kg/m2). Physical activity was categorized as meeting guidelines (>120–150 min/wk), somewhat active (11–149 min/wk) and sedentary (no physical activity). On the basis of population estimates, nearly 60% of cancer survivors were aged 55 to 64 years, and most (66%) were female, white (82%), and had a high school diploma or less education (59%). Breast cancer survivors made up 35% of the sample population, and more than 10 years had passed since the cancer diagnosis for nearly 40% of the cancer survivors. Most (79%) self-reported having at least 1 comorbid condition, and 68% reported being overweight or obese. Adherence to PA guidelines was suboptimal among middle-aged cancer survivors in the United States; only 47% met PA recommendations (Table 2).
Table 2

US Cancer Survivors by Physical Activity Levelsa, Behavioral Risk Factor Surveillance System Survey, 2009

CharacteristicMet Physical Activity Guidelines
Somewhat Active
Sedentary
P Value
Sample Sizeb, 4,068 Population Estimateb, N = 1,518,975 (%)Sample Sizeb, 3,448Population Estimateb, N = 1,329,279 (%)Sample Sizeb, 1,149Population Estimateb, N = 380,054 (%)
Age
45–54 years1,416615,646 (41)1,128544,232 (41)356133,629 (35).142
Sex
Female2,867977,764 (64)2,536877,579 (66)882278,551 (73).01
Race/ethnicity
White3,5771,287,844 (85)2,9181,058,431 (80)912293,902 (78)<.001
African American16280,571(5)260133,839 (10)11343,638 (12)
Hispanic11583,689 (6)10657,625 (4)3811,715 (3)
Other18255,511 (4)14970,566 (5)7725,725 (7)
Education
High school diploma or less2,221800,699 (53)2,242830,823 (63)858274,589 (72)<.001
Emotional support
Has emotional support3,3801,275,397(84)2,6371,031,578 (78)763255,125 (68)<.001
Cancer type
Breast1,521525,112 (35)1,306468,369 (35)420134,032 (35)<.001
Bladder10934,712 (2)8728,128 (2)4017,788 (5)
Cervical651232,892 (15)640215,778 (16)27792,041 (24)
Colon288111,940 (7)297121,518 (9)12438,651 (10)
Melanoma1,022402,084 (27)718285,606 (22)18963,666 (17)
Prostate477212,234 (14)400209,881 (16)9933,876 (9)
Time since diagnosis
1–2 years715255,399 (17)604266,235 (20)20675,028 (20).006
2–5 years778328,675 (22)674264,249 (20)19050,179 (13)
5–10 years902344,384 (23)745302,485 (23)23283,842 (22)
>10 years1,673590,517 (39)1,425496,311 (37)521171,005 (45)
Body mass indexc
Normal1,520575,429 (39)925364,649 (28)25071,514 (20)<.001
Overweight1,493573,138 (39)1,221452,601 (35)333120,365 (34)
Obese943335,607 (23)1,168471,011 (37)515167,410 (47)
Comorbidity count
0968371,236 (24)650275,474 (21)14046,800 (12)<.001
1–22,389892,917 (59)1,916719,210 (54)553189,080 (50)
>2711254,822 (17)882334,595 (25)456144,175 (38)

Physical activity was categorized as meeting guidelines (>120–150 min/wk), somewhat active (11–149 min/wk), and sedentary (no physical activity).

Sample size refers to the observed number of units in the sample that share a given characteristic, and population estimate is the corresponding estimated number in the population.

Body mass index was categorized as normal weight (BMI 18.0–24.9 kg/m2), overweight (BMI 25.0–29.9 kg/m2), or obese (BMI >30.0 kg/m2).

Physical activity was categorized as meeting guidelines (>120–150 min/wk), somewhat active (11–149 min/wk), and sedentary (no physical activity). Sample size refers to the observed number of units in the sample that share a given characteristic, and population estimate is the corresponding estimated number in the population. Body mass index was categorized as normal weight (BMI 18.0–24.9 kg/m2), overweight (BMI 25.0–29.9 kg/m2), or obese (BMI >30.0 kg/m2). After adjusting for demographic and medical factors, we found many covariates to be independently associated with a sedentary lifestyle in the multinomial regression model (Table 3). Male survivors were more likely to meet PA recommendations than female survivors. Sedentary activity was significantly associated with race; African Americans and “other” racial categories were less likely to meet PA recommendations than whites. Having a college degree was significantly associated with meeting PA guidelines. A lack of emotional support, being obese, and having more than 2 comorbidities all significantly (P values <.05) increased the odds of being sedentary (Table 3). Cancer survivors whose cancer had been diagnosed 2 to 5 years previously were twice as likely to meet PA recommendations as survivors whose cancer was diagnosed 1 to 2 years previously.
Table 3

Multinomial Logistic Regression Model of Adherence to Physical Activity and Selected Factors Among US Cancer Survivors, Behavioral Risk Factor Surveillance System Survey, 2009

CharacteristicSedentarya vs Met Physical Activity Guidelinesa
Sedentarya vs Insufficient Activitya
AOR (95% CI) P ValueAOR (95% CI) P Value
Sex
Female1 [Reference] 1 [Reference]
Male1.52 (1.01–2.29).0431.13 (0.76–1.68).545
Race/Ethnicity
White1 [Reference]1 [Reference]
African American 0.58 (0.34–0.99) .047 0.93 (0.57–1.52) .769
Hispanic2.05 (1.04–4.02).0381.44 (0.73–2.85).292
Other0.53 (0.31–0.93).0260.80 (0.45–1.42).445
Education
High school diploma or less1 [Reference]1 [Reference]
College graduate1.56 (1.19–2.04).0011.18 (0.90–1.55).232
Emotional support
Never1 [Reference]1 [Reference]
Always2.00 (1.51–2.62)<.0011.41 (1.08–1.83).011
Cancer type
Breast1 [Reference]1 [Reference]
Bladder0.46 (0.24–0.89).0220.51 (0.25–1.01).052
Cervical0.83 (0.58–1.19).3170.81 (0.57–1.15).243
Colon0.74 (0.46–1.19).2160.97 (0.62–1.51).891
Melanoma1.34 (0.91–1.97).1371.26 (0.86–1.85).240
Prostate1.23 (0.67–2.24).5061.70 (0.93–3.09).084
Time since diagnosis, y
1–2 1 [Reference]1 [Reference]
2–51.95 (1.31–2.91).0011.53 (1.02–2.29).039
5–101.25 (0.86–1.84).2481.13 (0.76–1.67).550
>101.31 (0.90–1.92).1571.11 (0.75–1.63).607
BMIb
Normal1 [Reference]1 [Reference]
Overweight0.61 (0.45–0.84).0020.75 (0.54–1.04).086
Obese0.33 (0.24–0.44)<.0010.65 (0.48–0.89).007
Comorbidity count
01 [Reference]1 [Reference]
1–20.74 (0.53–1.03).072.69 (0.49–0.97).035
>20.38 (0.26–0.55)<.0010.48 (0.33–0.69)<.001

Abbreviations: AOR, adjusted odds ratio; CI, confidence interval; —, no P values for Reference category.

Physical activity was categorized as meeting guidelines (>120–150 min/wk), somewhat active (11–149 min/wk), and sedentary (no physical activity).

Body mass index (weight (kg)/[height (m)]2) was categorized as normal weight (BMI 18.0–24.9 kg/m2), overweight (BMI 25.0–29.9 kg/m2), or obese (BMI >30.0 kg/m2).

Abbreviations: AOR, adjusted odds ratio; CI, confidence interval; —, no P values for Reference category. Physical activity was categorized as meeting guidelines (>120–150 min/wk), somewhat active (11–149 min/wk), and sedentary (no physical activity). Body mass index (weight (kg)/[height (m)]2) was categorized as normal weight (BMI 18.0–24.9 kg/m2), overweight (BMI 25.0–29.9 kg/m2), or obese (BMI >30.0 kg/m2). HRQOL was associated with adherence to PA recommendations. The mean number of days with poor physical health was 3.95 days (standard error [SE], 0.22) for cancer survivors who met PA guidelines, 5.48 days (SE, 0.29) for somewhat active survivors, and 13.51 days (SE, 0.64) for sedentary survivors (Figure). We observed a similar trend for the number of days with poor mental health: 3.55 days (SE, 0.25) for cancer survivors who met PA guidelines, 4.29 days (SE, 0.24) for those who were somewhat active, and 7.96 days (SE, 0.55) for sedentary cancer survivors. We observed a dose–response pattern across levels of PA adherence and HRQOL. Results from the multivariable linear regression indicated that increasing levels of PA adherence were significantly associated with improved HRQOL when controlling for demographic, psychosocial, and medical factors (P < .001).
Figure

Association between health-related quality of life and physical activity levels among cancer survivors in the United States, Behavioral Risk Factor Surveillance System Survey, 2009. The higher the score, the poorer a person’s health-related quality of life. The error bar represents the 95% confidence interval of the mean number of days per month. Among cancer survivors, the higher the level of physical activity adherence, the fewer days with poor health-related quality of life across all 3 items (poor overall health, poor physical health, or poor mental health).

Association between health-related quality of life and physical activity levels among cancer survivors in the United States, Behavioral Risk Factor Surveillance System Survey, 2009. The higher the score, the poorer a person’s health-related quality of life. The error bar represents the 95% confidence interval of the mean number of days per month. Among cancer survivors, the higher the level of physical activity adherence, the fewer days with poor health-related quality of life across all 3 items (poor overall health, poor physical health, or poor mental health).

Discussion

Using data from the nationally representative BRFSS 2009 survey, we found suboptimal PA adherence among middle-aged cancer survivors, which was similar to a related finding for the general population (5,14); however, because of their increased risk of comorbidity (8) and cancer recurrence (15), it is more important for cancer survivors to adhere to PA recommendations. Some population-based studies indicated that cancer survivors perform less PA compared to the general population (16,17). Our findings concur with those of 2 other studies that compared cancer survivors and controls (18,19). These differences may result from variations in populations, study design, or the ways in which PA is assessed. Coups et al and Bellizi et al respectively reported that 25% and 33% of cancer survivors aged 40–64 years met PA guidelines (5,16). Richardson et al found that 46% of such cancer survivors reported leisure PA similar to our study results (17). Previous studies included people diagnosed with cancer, irrespective of cancer type, whereas we restricted our sample to respondents diagnosed with melanoma, or breast, prostate, cervical, bladder, or colon cancer (18,19). Kwon et al indicated that PA among cancer survivors varied across cancer type (14), which may be due to treatment variation, predisposition to obesity, and other comorbid conditions.

Correlates for adherence to physical activity guidelines

Approximately half of the cancer survivors aged 45–64 years in the BRFSS 2009 survey met PA guidelines, and 41% reported a lower level of PA. Our study describes the characteristics of this large group of survivors with inadequate PA who may benefit from targeted interventions. Cancer survivors who are sedentary were more likely to be female, African American, have lower education levels, or have low levels of emotional support (19,20). Having others who motivate the survivor or offer support in dealing with ongoing psychological distress lessens barriers to participation in PA (20). A weight loss intervention called “Moving Forward,” which was designed for African American breast cancer survivors, found that positive social support from friends and family encouraged survivors to maintain high levels of participation and retention in the weight loss program (21). The intervention included the participation of friends and family and promoted the interdependence of culture and kinship networks to support personal health decisions. The success of this intervention demonstrates the role of social support in promoting PA participation and how tailored programs can encourage cancer survivors who are overweight or obese to adhere to PA guidelines. Our study found that cancer survivors who were sedentary had an increased burden of comorbidity and obesity. These findings concur with those of previous studies: being overweight or obese was significantly associated with not meeting PA guidelines (22,23). Along with targeted interventions to increase PA among sedentary cancer survivors, clinical management of obesity or other comorbidities may be necessary before initiating such programs.

Health-related quality of life and physical activity

High levels of HRQOL was associated with high levels of adherence to PA guidelines, and cancer survivors who were somewhat active reported better HRQOL than did sedentary cancer survivors, which agreed with previous findings (24). Cancer survivors who practiced positive lifestyle behaviors reported high HRQOL, particularly those who met the PA guidelines (24). Sedentary survivors reported experiencing more recent days of poor health compared with cancer survivors who reported being somewhat active or who met PA guidelines. Previous studies examined this relationship only among individuals with colorectal cancer and non-Hodgkin’s lymphoma (25,26). PA promotion should motivate sedentary cancer survivors to become more active so they can improve their HRQOL. Many cancer survivors may be more willing to initiate a less intense exercise routine than to immediately try to meet PA guidelines, and our study findings indicate that small doses of PA are associated with improved HRQOL. Cancer survivors should be encouraged to incorporate some form of PA into their daily life. This study has strengths and limitations. First, the 2009 BRFSS collected information using landline telephone interviews of noninstitutionalized individuals; therefore, it did not represent people who are without landline telephones, use cellular telephones exclusively, or are in institutions. However, the BRFSS survey is representative of noninstitutionalized adults living in the United States (covers all US states and territories) and thus enables researchers to estimate the national prevalence of health-related behaviors such as PA. Second, the information collected is self-reported by the respondents and thus is subject to recall bias or inaccuracy. Furthermore, BRFSS does not collect information on the type of medical treatments received or their duration. To address bias arising from limitations in participation caused by aggressive treatment effects, we restricted the study sample to participants who were at least 1 year beyond their cancer diagnosis. Third, we did not include income in the adjusted model because of the large number of nonresponses. Socioeconomic status plays an important role in education level, access to recreational facilities, and availability of leisure time to engage in PA. To reduce this bias, we included surrogate variables of socioeconomic status such as education and race. Finally, because BRFSS is a cross-sectional survey, we can assess only association and not causality. Our study has several strengths. We examined adherence to PA among cancer survivors of middle age (an understudied group) across diverse cancer types and using a population-based sample. Most previous studies examined adherence to PA as meeting versus not meeting guidelines. Such broad categories do not allow for an examination of the influences faced by cancer survivors who are somewhat active but do not meet the guidelines. We examined PA adherence on 3 levels: meeting guidelines, somewhat active, and sedentary. This approach allowed us to examine the relationship between varying levels of PA adherence and HRQOL. Finally, most previous studies focused on short-term rather than long-term cancer survivors. We studied cancer survivors who received their diagnosis at least 1 year before the study, and 40% of the survivors were more than 10 years post diagnosis. This study highlights the subgroup of cancer survivors who are active but are not meeting PA guidelines and who may benefit from an intervention that helps them incorporate more PA into their daily life. Cancer survivors who are obese and have more than 2 comorbidities are likely to be sedentary. This subgroup of cancer survivors needs to be targeted and encouraged to incorporate some PA into their daily life. Previous research indicated that primary care providers have a positive influence on a patient’s PA behavior and that provider-based counseling improves adherence to PA guidelines among sedentary individuals (27). Despite this, few physicians recommend PA to the cancer survivors among their patients (28). Some barriers reported by physicians were concerns about safety and a lack of time during office visits. The American College of Sports Medicine’s roundtable on exercise guidelines for cancer survivors indicated that PA is safe for this population and should be undertaken even during active disease and treatment (29). Primary care physicians are in the best position to address obesity and coexisting medical conditions that may limit their patients’ ability to meet recommended PA guidelines. Because HRQOL improves dramatically with PA, even levels not sufficient to meet the guidelines can be helpful for cancer survivors. A one-size-fits-all approach may not work with this group, and based on their current activity levels and health status, such patients may need a PA intervention program that helps them meet their unique needs.
Level of Physical ActivityPoor Overall HealthPoor Physical HealthPoor Mental Health
Sedentary 13.3 (11.81–14.8) 13.51 (12.2–14.77) 7.96 (6.88–9.05)
Somewhat active 5.64 (4.97–6.31) 5.48 (4.91–6.04) 4.29 (3.82–4.76)
Meets guidelines4.12 (3.56–4.69)3.95 (3.52–4.39)3.55 (3.07–4.04)
  26 in total

1.  Comparison of physical activity levels between cancer survivors and non-cancer participants in the 2009 BRFSS.

Authors:  Soyang Kwon; Ningqi Hou; Meme Wang
Journal:  J Cancer Surviv       Date:  2011-11-09       Impact factor: 4.442

2.  Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association.

Authors:  William L Haskell; I-Min Lee; Russell R Pate; Kenneth E Powell; Steven N Blair; Barry A Franklin; Caroline A Macera; Gregory W Heath; Paul D Thompson; Adrian Bauman
Journal:  Circulation       Date:  2007-08-01       Impact factor: 29.690

3.  Health-related quality of life in cancer survivors between ages 20 and 64 years: population-based estimates from the Behavioral Risk Factor Surveillance System.

Authors:  Lisa C Richardson; Phyllis A Wingo; Matthew M Zack; Hatice S Zahran; Jessica B King
Journal:  Cancer       Date:  2008-03-15       Impact factor: 6.860

4.  Cancer survivors' adherence to lifestyle behavior recommendations and associations with health-related quality of life: results from the American Cancer Society's SCS-II.

Authors:  Christopher M Blanchard; Kerry S Courneya; Kevin Stein
Journal:  J Clin Oncol       Date:  2008-05-01       Impact factor: 44.544

5.  Cumulative absolute breast cancer risk for young women treated for Hodgkin lymphoma.

Authors:  Lois B Travis; Deirdre Hill; Graça M Dores; Mary Gospodarowicz; Flora E van Leeuwen; Eric Holowaty; Bengt Glimelius; Michael Andersson; Eero Pukkala; Charles F Lynch; David Pee; Susan A Smith; Mars B Van't Veer; Timo Joensuu; Hans Storm; Marilyn Stovall; John D Boice; Ethel Gilbert; Mitchell H Gail
Journal:  J Natl Cancer Inst       Date:  2005-10-05       Impact factor: 13.506

Review 6.  Efficacy of exercise interventions in modulating cancer-related fatigue among adult cancer survivors: a meta-analysis.

Authors:  Justin C Brown; Tania B Huedo-Medina; Linda S Pescatello; Shannon M Pescatello; Rebecca A Ferrer; Blair T Johnson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-11-04       Impact factor: 4.254

7.  Cancer survivors in the United States: age, health, and disability.

Authors:  Maria Hewitt; Julia H Rowland; Rosemary Yancik
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2003-01       Impact factor: 6.053

8.  Associations of leisure-time physical activity with quality of life in a large, population-based sample of colorectal cancer survivors.

Authors:  Brigid M Lynch; Ester Cerin; Neville Owen; Joanne F Aitken
Journal:  Cancer Causes Control       Date:  2007-05-23       Impact factor: 2.506

9.  A weight loss intervention for African American breast cancer survivors, 2006.

Authors:  Melinda R Stolley; Lisa K Sharp; April Oh; Linda Schiffer
Journal:  Prev Chronic Dis       Date:  2008-12-15       Impact factor: 2.830

10.  Health behaviors and quality of life of cancer survivors in Massachusetts, 2006: data use for comprehensive cancer control.

Authors:  Temeika L Fairley; Helen Hawk; Snaltze Pierre
Journal:  Prev Chronic Dis       Date:  2009-12-15       Impact factor: 2.830

View more
  10 in total

1.  Agenda for Translating Physical Activity, Nutrition, and Weight Management Interventions for Cancer Survivors into Clinical and Community Practice.

Authors:  Karen Basen-Engquist; Catherine M Alfano; Melissa Maitin-Shepard; Cynthia A Thomson; Kathryn H Schmitz; Bernardine M Pinto; Kevin Stein; David S Zucker; Karen L Syrjala; Elizabeth Fallon; Colleen Doyle; Wendy Demark-Wahnefried
Journal:  Obesity (Silver Spring)       Date:  2017-11       Impact factor: 5.002

2.  Feasibility, acceptance and long-term exercise behaviour in cancer patients: an exercise intervention by using a swinging-ring system.

Authors:  Richard Crevenna; Fadime Cenik; Anton Galle; Tanya Sedghi Komanadj; Mohammad Keilani
Journal:  Wien Klin Wochenschr       Date:  2015-09-15       Impact factor: 1.704

3.  Physical activity patterns and associations with health-related quality of life in bladder cancer survivors.

Authors:  Ajay Gopalakrishna; Thomas A Longo; Joseph J Fantony; Michael R Harrison; Brant A Inman
Journal:  Urol Oncol       Date:  2017-05-17       Impact factor: 3.498

4.  Correlates of physical activity among older breast cancer survivors: Findings from the Women's Health Initiative LILAC study.

Authors:  Jessica L Krok-Schoen; Michael L Pennell; Nazmus Saquib; Michelle Naughton; Xiaochen Zhang; Aladdin H Shadyab; Candyce H Kroenke; Jennifer W Bea; Lindsay L Peterson; Tracy Crane; Jean Wactawski-Wende; Electra D Paskett
Journal:  J Geriatr Oncol       Date:  2021-12-07       Impact factor: 3.929

5.  Adverse health behaviours among colorectal cancer survivors: a case study from Iran.

Authors:  Nayyereh Aminisani; Hosseinali A Nikbakht; Seidreza R Hosseinei; Seyed Morteza Shamshirgaran
Journal:  J Gastrointest Oncol       Date:  2016-06

6.  Physical Activity in Cancer Survivors During "Re-Entry" Following Cancer Treatment.

Authors:  Alyssa N Troeschel; Corinne R Leach; Kerem Shuval; Kevin D Stein; Alpa V Patel
Journal:  Prev Chronic Dis       Date:  2018-05-24       Impact factor: 2.830

7.  Clinical factors associated with adherence to aerobic and resistance physical activity guidelines among cancer prevention patients and survivors.

Authors:  Adriana M Coletta; Guillermo Marquez; Parijatham Thomas; Whittney Thoman; Therese Bevers; Abenaa M Brewster; Ernest Hawk; Karen Basen-Engquist; Susan C Gilchrist
Journal:  PLoS One       Date:  2019-08-01       Impact factor: 3.240

8.  The impact of leisure time physical activity on mental health and health perception among people with cancer.

Authors:  Jaehyun Kim; Junhyoung Kim; Areum Han
Journal:  Health Promot Perspect       Date:  2020-03-30

9.  Active by nature: exploring cancer survivors' exercise barriers, facilitators, preferences, and psychosocial benefits of engaging in outdoor physical activity.

Authors:  Iris A Lesser; C P Nienhuis; L Belanger
Journal:  Support Care Cancer       Date:  2021-01-06       Impact factor: 3.359

10.  The Role of Physical Activity in Cancer Recovery: An Exercise Practitioner's Perspective.

Authors:  Clare M P Roscoe; Andy Pringle; Charlotte Chandler; Mark A Faghy; Ben Barratt
Journal:  Int J Environ Res Public Health       Date:  2022-03-18       Impact factor: 3.390

  10 in total

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