Lifestyle Intervention Website Use and Associated Participant Characteristics and Behavior Change among Cancer Survivors (Preprint)

2021 ◽  
Author(s):  
Victoria Williams ◽  
Nashira Brown ◽  
Justin Xavier Moore ◽  
David Farrell ◽  
Suzanne Perumean-Chaney ◽  
...  
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Cancer Survivors ◽  
Lifestyle Intervention ◽  
Healthy Lifestyle ◽  
Health Behavior Change ◽  
Patterns Of Use ◽  
Participant Characteristics ◽  
And Behavior ◽  
Website Use

BACKGROUND Internet-based lifestyle programs are increasingly being used to deliver health behavior change interventions to cancer survivors. However, little is known about website use in this population or its associations with healthy lifestyle changes. OBJECTIVE To describe lifestyle intervention website use (logins, time on website, and clicks) among cancer survivors, as well as patterns of use by participant characteristics. Additionally, associations were explored between website use and changes in healthy lifestyle knowledge and practice. METHODS Thirty-five cancer survivors participated in a single-arm pilot test of the SurvivorSHINE website. Knowledge and practices related to healthful diet and physical activity behaviors were measured at baseline and follow-up. Website use (e.g., time spent on the website, frequency of logins, webpage visits, and clicks) were collected from the SurvivorSHINE administrative site during a 2-week intervention period. Patterns of use were examined by participants’ gender and race. Associations between website use and changes in healthy lifestyle knowledge, physical activity, diet, and weight were explored. Independent t-tests were used to compare website use between males and females, and Non-Hispanic Whites (NHW) and Blacks (NHB). Pearson correlations were used to examine associations between website use and behavior change. RESULTS Participants logged into the SurvivorSHINE website an average of 3.2 times (SD = 2) over the 2-week period and spent a total average of 94 minutes (SD = 56 minutes). Examining website activity, 1905 clicks were logged. The user profile (344 clicks) and the home sections (301 clicks) were the most visited components. No associations were observed between the frequency of logins or the total time on the website and improvements in knowledge-related to healthy lifestyles, nor in changes in body weight or dietary intake. However, the total time on the website was positively correlated with improvements in accelerometer-measured physical activity (r = 0.74, p = 0.02), as well as self-reported physical activity (r = 0.35, p = 0.047). CONCLUSIONS Cancer survivors demonstrated clear interest in a diet and exercise website as evidenced by their frequency of logins, clicks on numerous features, and total viewing time. Moreover, increased website usage was correlated with improvements in physical activity. CLINICALTRIAL NCT00303875, NCT00630591 INTERNATIONAL REGISTERED REPORT RR2-10.1007/s13187-021-02026-x

scholarly journals Promoting Healthy Eating and Physical Activity Behaviors: A Systematic Review of Multiple Health Behavior Change Interventions Among Cancer Survivors

2016 ◽  
Vol 12 (3) ◽  
pp. 184-199 ◽  
Author(s):  
Steve Amireault ◽  
Angela J. Fong ◽  
Catherine M. Sabiston
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Cancer Survivors ◽  
Healthy Eating ◽  
Health Behavior Change ◽  
Cochrane Library ◽  
Multiple Health Behavior Change ◽  
The Impact ◽  
Multiple Health

Multiple health behavior change (MHBC) interventions have great potential for enhancing health and well-being following cancer diagnosis and treatment. However, the characteristics and effects of MHBC interventions remain elusive for cancer survivors. The main purpose of this study was to evaluate the effectiveness of MHBC interventions on healthy eating and physical activity behaviors among cancer survivors. A secondary aim was to examine the effect of using a simultaneous and sequential design approach to MHBC (ie, changing both behaviors at the same time or one after the other). Randomized controlled trials reporting the impact of a MHBC intervention on both healthy eating and physical activity behaviors among cancer survivors were retrieved from MEDLINE, Cochrane Library, and PsycINFO. A total of 27 MHBC interventions were identified; most (92.6%) were designed to promote simultaneous change in both behaviors and assessed end-of-treatment effect among breast cancer survivors. MHBC interventions led by nurses or multidisciplinary teams showed the most compelling evidence for small to moderate improvement in both behaviors, with interventions that lasted ≥17 weeks more likely to improve both behaviors. This study identifies research priorities and provides preliminary evidence for clinical decision making and advancements in MHBC intervention design and delivery for clinical oncology.

scholarly journals Effects of a Telephone-Delivered Multiple Health Behavior Change Intervention (CanChange) on Health and Behavioral Outcomes in Survivors of Colorectal Cancer: A Randomized Controlled Trial

2013 ◽  
Vol 31 (18) ◽  
pp. 2313-2321 ◽  
Author(s):  
Anna L. Hawkes ◽  
Suzanne K. Chambers ◽  
Kenneth I. Pakenham ◽  
Tania A. Patrao ◽  
Peter D. Baade ◽  
...  
Keyword(s):  
Physical Activity ◽  
Colorectal Cancer ◽  
Body Mass Index ◽  
Health Behavior ◽  
Behavior Change ◽  
Cancer Survivors ◽  
Body Mass ◽  
Dietary Habits ◽  
Health Behavior Change ◽  
Colorectal Cancer Survivors

Purpose Colorectal cancer survivors are at risk for poor health outcomes because of unhealthy lifestyles, but few studies have developed translatable health behavior change interventions. This study aimed to determine the effects of a telephone-delivered multiple health behavior change intervention (CanChange) on health and behavioral outcomes among colorectal cancer survivors. Methods In this two-group randomized controlled trial, 410 colorectal cancer survivors were randomly assigned to the health coaching intervention (11 theory-based telephone-delivered health coaching sessions delivered over 6 months focusing on physical activity, weight management, dietary habits, alcohol, and smoking) or usual care. Assessment of primary (ie, physical activity [Godin Leisure Time Index], health-related quality of life [HRQoL; Short Form–36], and cancer-related fatigue [Functional Assessment of Chronic Illness Therapy Fatigue Scale]) and secondary outcomes (ie, body mass index [kg/m2], diet and alcohol intake [Food Frequency Questionnaire], and smoking) were conducted at baseline and 6 and 12 months. Results At 12 months, significant intervention effects were observed for moderate physical activity (28.5 minutes; P = .003), body mass index (−0.9 kg/m2; P = .001), energy from total fat (−7.0%; P = .006), and energy from saturated fat (−2.8%; P = .016). A significant intervention effect was reported for vegetable intake (0.4 servings per day; P = .001) at 6 months. No significant group differences were found at 6 or 12 months for HRQoL, cancer-related fatigue, fruit, fiber, or alcohol intake, or smoking. Conclusion The CanChange intervention was effective for improving physical activity, dietary habits, and body mass index in colorectal cancer survivors. The intervention is translatable through existing telephone cancer support and information services in Australia and other countries.

scholarly journals Behavior change techniques in mobile applications for sedentary behavior

2018 ◽  
Vol 4 ◽  
pp. 205520761878579 ◽  
Author(s):  
Emily E Dunn ◽  
Heather L Gainforth ◽  
Jennifer E Robertson-Wilson
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Sedentary Behavior ◽  
Mobile Applications ◽  
Health Behavior Change ◽  
Behavior Change Techniques ◽  
Self Monitoring ◽  
Behavior Change Interventions ◽  
And Behavior ◽  
Keyword Searches

Objective Mobile applications (apps) are increasingly being utilized in health behavior change interventions. To determine the presence of underlying behavior change mechanisms, apps for physical activity have been coded for behavior change techniques (BCTs). However, apps for sedentary behavior have yet to be assessed for BCTs. Thus, the purpose of the present study was to review apps designed to decrease sedentary time and determine the presence of BCTs. Methods Systematic searches of the iTunes App and Google Play stores were completed using keyword searches. Two reviewers independently coded free ( n = 36) and paid ( n = 14) app descriptions using a taxonomy of 93 BCTs (December 2016–January 2017). A subsample ( n = 4) of free apps were trialed for one week by the reviewers and coded for the presence of BCTs (February 2017). Results In the free and paid app descriptions, only 10 of 93 BCTs were present with a mean of 2.42 BCTs (range 0–6) per app. The BCTs coded most frequently were “prompts/cues” ( n = 43), “information about health consequences” ( n = 31), and “self-monitoring of behavior” ( n = 17). For the four free apps that were trialed, three additional BCTs were coded that were not coded in the descriptions: “graded tasks,” “focus on past successes,” and “behavior substitution.” Conclusions These sedentary behavior apps have fewer BCTs compared with physical activity apps and traditional (i.e., non-app) physical activity and healthy eating interventions. The present study sheds light on the behavior change potential of sedentary behavior apps and provides practical insight about coding for BCTs in apps.

scholarly journals Web-based Lifestyle Interventions for Cancer Survivors: Usability and Associations with Participant Characteristics and Behavior Change (Preprint)

10.2196/30974 ◽  
2021 ◽  
Author(s):  
Victoria Williams ◽  
Nashira Brown ◽  
Justin Xavier Moore ◽  
David Farrell ◽  
Suzanne Perumean-Chaney ◽  
...  
Keyword(s):  
Behavior Change ◽  
Cancer Survivors ◽  
Lifestyle Interventions ◽  
Web Based ◽  
Participant Characteristics ◽  
And Behavior

scholarly journals Effectiveness of a Mobile Health Behavior Change Intervention for Cancer Survivors with Overweight/Obesity: Randomized Controlled Trial (Preprint)

2020 ◽  
Author(s):  
Jane C Walsh ◽  
Janice Richmond ◽  
Jenny McSharry ◽  
AnnMarie Groarke ◽  
Liam Glynn ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Behavior ◽  
Behavior Change ◽  
Cancer Survivors ◽  
Goal Setting ◽  
Intervention Group ◽  
Health Behavior Change ◽  
Behavior Change Intervention ◽  
Intervention Condition

BACKGROUND Cancer survivorship in Ireland is increasing in both frequency and longevity. However, a significant proportion of cancer survivors do not reach recommended physical activity levels and have overweight. This has health implications both physical and psychological, including increased risk of subsequent and secondary cancers. Mobile health (mHealth) interventions demonstrate potential for positive health behavior change, but there is little evidence for the efficacy of mobile technology to improve health outcomes in cancer survivors with overweight/obesity. OBJECTIVE This study sought to investigate whether a personalized mHealth behavior change intervention improved physical and psychological health outcomes in cancer survivors with overweight/obesity. METHODS A sample of 123 cancer survivors (body mass index ≥25 kg/m2) was randomly assigned to the standard care control (n=61) or intervention (n=62) condition. Group allocation was unblinded. The intervention group attended a 4-hour tailored lifestyle information and education session with physiotherapists, a dietician, and clinical psychologist to support self-management of health behavior. Over the following 12 weeks, participants engaged in personalized goal-setting to incrementally increase physical activity (with feedback and review of goals through short message service text messaging contact with the research team). Objective measures of physical activity were collected using a Fitbit accelerometer. Data on anthropometric, functional exercise capacity, dietary behavior, and psychological measures were collected at face-to-face assessments in a single hospital site at baseline (T0), 12 weeks (T1; intervention end), and 24 weeks (T2; follow-up). RESULTS Rates of attrition were 21% for the control condition and 14% for the intervention condition. Using intent-to-treat analysis significant reductions in body mass index (BMI) (F(2,242) = 4.149, p = .017, ηp2= .033) and waist circumference (F(2,242) = 3.342, p = .037, np2 = .027) were seen in the intervention group. Over the 24-week study BMI was reduced by 0.52 in the intervention condition, relative to a non-significant reduction of 0.11 in the control arm. Waist circumference reduced by 3.02cm in the intervention relative to 1.82cm in the control condition. High levels of attainment for step count goals were observed with significantly higher levels of physical activity recorded for participants in the intervention group post-intervention (t(105) =2.60, p=.011) and at follow-up (t(105) =2.43, p=.017), accounting for up to 1999 additional steps per day. CONCLUSIONS The results demonstrate that for cancer survivors with a BMI ≥ 25 lifestyle education and personalized goal-setting using mobile technology can yield significant change on clinically relevant health indicators. Further research is needed to elucidate to mechanisms for behavior change and explore the capacity for mHealth interventions to improve broader health and wellbeing outcomes in the growing population of cancer survivors. CLINICALTRIAL ISRCTN-18676721 https://doi.org/10.1186/ISRCTN18676721 INTERNATIONAL REGISTERED REPORT RR2-10.2196/13214

scholarly journals Zdrave životne navike i kvaliteta života onkoloških bolesnika

2019 ◽  
Vol 5 (1) ◽  
pp. 87-96
Author(s):  
Sanja Ledinski Fičko ◽  
Vesna Konjevoda ◽  
Irena Kovačević ◽  
Biljana Kurtović ◽  
Ana Marija Hošnjak ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Health Promotion ◽  
Cancer Survivors ◽  
Cancer Patients ◽  
Healthy Lifestyle ◽  
Health Behavior Change ◽  
Life Questionnaire ◽  
Health Promotion Behaviors

Background: Multiple health behavior change interventions, especially promoting the improvements in diet and exercise behaviors, have been used to ameliorate the adverse effects of cancer and its treatment. It is a well known fact that healthy lifestyle has a significant impact on cancer cases. The group of people which are at a high risk of cancer are smokers, people with low fruit and vegetable intake, people with a drinking problem and with low physical activity. In 43% of the cases the incidence of cancer can be prevented by conducting adequate measures. Aim: The aim of this study is an overview of health promotion behaviors such as non-smoking, non-alcohol abuse, physical activity, diet and body weight and their impact on quality of life among cancer patients and cancer survivors. Methods: Literature overview was made systematically. Studies that have been included in the final analysis, were analyzed through 4 steps. After reviewing the abstract, 6 full text articles were examined in more detail for eligibility and were included in the final data analysis. Results: All six articles have shown that patients with healthy lifestyle and those who are conducting health promotion behaviors have greater score on the quality of life questionnaire. Physical activity has an impact on symptoms of treatment and disease. Conclusion: This study supports the need for future research on public health view on conducting healthy lifestyle during therapy and in the remission of disease. Health promotion behaviors have great impact on quality of life among cancer patients and cancer survivors.

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