An Assessment of Physical Activity Data Collected via a Smartphone App and a Smart Band in Breast Cancer Survivors: Observational Study (Preprint)

BACKGROUND Although distress screening is crucial for cancer survivors, it is not easy for clinicians to recognize distress. Physical activity (PA) data collected by mobile devices such as smart bands and smartphone apps have the potential to be used to screen distress in breast cancer survivors. OBJECTIVE The aim of this study was to assess data collection rates of smartphone apps and smart bands in terms of PA data, investigate the correlation between PA data from mobile devices and distress-related questionnaires from smartphone apps, and demonstrate factors associated with data collection with smart bands and smartphone apps in breast cancer survivors. METHODS In this prospective observational study, patients who underwent surgery for breast cancer at Asan Medical Center, Seoul, Republic of Korea, between June 2017 and March 2018 were enrolled and asked to use both a smartphone app and smart band for 6 months. The overall compliance rates of the daily PA data collection via the smartphone walking apps and wearable smart bands were analyzed in a within-subject manner. The longitudinal daily collection rates were calculated to examine the dropout pattern. We also performed multivariate linear regression analysis to examine factors associated with compliance with daily collection. Finally, we tested the correlation between the count of daily average steps and distress level using Pearson correlation analysis. RESULTS A total of 160 female patients who underwent breast cancer surgeries were enrolled. The overall compliance rates for using a smartphone app and smart bands were 88.0% (24,224/27,513) and 52.5% (14,431/27,513), respectively. The longitudinal compliance rate for smartphone apps was 77.8% at day 180, while the longitudinal compliance rate for smart bands rapidly decreased over time, reaching 17.5% at day 180. Subjects who were young, with other comorbidities, or receiving antihormonal therapy or targeted therapy showed significantly higher compliance rates to the smartphone app. However, no factor was associated with the compliance rate to the smart band. In terms of the correlation between the count of daily steps and distress level, step counts collected via smart band showed a significant correlation with distress level. CONCLUSIONS Smartphone apps or smart bands are feasible tools to collect data on daily PA data in breast cancer survivors. PA data from mobile devices are correlated with participants’ distress data, which suggests the potential role of mobile devices in the management of distress in breast cancer survivors. CLINICALTRIAL ClinicalTrials.gov NCT03072966; https://clinicaltrials.gov/ct2/show/NCT03072966

Download Full-text

An Assessment of Physical Activity Data Collected via a Smartphone App and a Smart Band in Breast Cancer Survivors: Observational Study

Journal of Medical Internet Research ◽

10.2196/13463 ◽

2019 ◽

Vol 21 (9) ◽

pp. e13463 ◽

Cited By ~ 5

Author(s):

Il Yong Chung ◽

Miyeon Jung ◽

Sae Byul Lee ◽

Jong Won Lee ◽

Yu Rang Park ◽

...

Keyword(s):

Breast Cancer ◽

Physical Activity ◽

Data Collection ◽

Cancer Survivors ◽

Mobile Devices ◽

Breast Cancer Survivors ◽

Compliance Rate ◽

Smartphone App ◽

Smartphone Apps ◽

Distress Level

Background Although distress screening is crucial for cancer survivors, it is not easy for clinicians to recognize distress. Physical activity (PA) data collected by mobile devices such as smart bands and smartphone apps have the potential to be used to screen distress in breast cancer survivors. Objective The aim of this study was to assess data collection rates of smartphone apps and smart bands in terms of PA data, investigate the correlation between PA data from mobile devices and distress-related questionnaires from smartphone apps, and demonstrate factors associated with data collection with smart bands and smartphone apps in breast cancer survivors. Methods In this prospective observational study, patients who underwent surgery for breast cancer at Asan Medical Center, Seoul, Republic of Korea, between June 2017 and March 2018 were enrolled and asked to use both a smartphone app and smart band for 6 months. The overall compliance rates of the daily PA data collection via the smartphone walking apps and wearable smart bands were analyzed in a within-subject manner. The longitudinal daily collection rates were calculated to examine the dropout pattern. We also performed multivariate linear regression analysis to examine factors associated with compliance with daily collection. Finally, we tested the correlation between the count of daily average steps and distress level using Pearson correlation analysis. Results A total of 160 female patients who underwent breast cancer surgeries were enrolled. The overall compliance rates for using a smartphone app and smart bands were 88.0% (24,224/27,513) and 52.5% (14,431/27,513), respectively. The longitudinal compliance rate for smartphone apps was 77.8% at day 180, while the longitudinal compliance rate for smart bands rapidly decreased over time, reaching 17.5% at day 180. Subjects who were young, with other comorbidities, or receiving antihormonal therapy or targeted therapy showed significantly higher compliance rates to the smartphone app. However, no factor was associated with the compliance rate to the smart band. In terms of the correlation between the count of daily steps and distress level, step counts collected via smart band showed a significant correlation with distress level. Conclusions Smartphone apps or smart bands are feasible tools to collect data on the physical activity of breast cancer survivors. PA data from mobile devices are correlated with participants’ distress data, which suggests the potential role of mobile devices in the management of distress in breast cancer survivors. Trial Registration ClinicalTrials.gov NCT03072966; https://clinicaltrials.gov/ct2/show/NCT03072966

Download Full-text

Disparities in access to mobile devices and e-health literacy among breast cancer survivors

Supportive Care in Cancer ◽

10.1007/s00520-021-06407-2 ◽

2021 ◽

Author(s):

Zoe Moon ◽

Mira Zuchowski ◽

Rona Moss-Morris ◽

Myra S. Hunter ◽

Sam Norton ◽

...

Keyword(s):

Breast Cancer ◽

Health Literacy ◽

Cancer Survivors ◽

Mobile Devices ◽

Breast Cancer Survivors ◽

Social Deprivation ◽

Logistic Regressions ◽

Widespread Access ◽

The Relationship ◽

Questionnaire Pack

Abstract Background The number of e-health interventions developed for breast cancer survivors continues to increase. However, issues with engagement and retention are common. This study aimed to explore e-health literacy rates and access to smartphones and tablets in a large sample of breast cancer survivors. Methods In study 1, women were recruited from outpatient breast clinics across England and Wales. Eligible women were asked to complete a questionnaire pack to assess their access to devices and their e-health literacy. Multiple regression analyses were run to assess the relationship between technology access and e-health literacy with sociodemographic variables such as age, social deprivation, and education. Study 2 presents a smaller sample recruited through social media who answered a questionnaire relating to use of mobile devices and e-health, and apps. Results Two thousand nine women participated in the study. Seventy-one percent had access to a smartphone, 54% had access to a tablet, and 20% did not have access to either device. Multiple logistic regressions showed that women who were younger, had higher levels of education, and who were from less deprived areas were more likely to have access to either device. Poorer e-health literacy was associated with being older, having less education, and not having access to a mobile device. Conclusions Whilst the results show relatively widespread access to mobile devices, there is evidence of a digital divide across some groups. Online interventions should be developed with consideration of individuals who are less e-health-literate and less technologically adept in order to increase the likelihood of engagement.

Download Full-text

Socioeconomic factors associated with adjuvant hormone therapy use in older breast cancer survivors

Cancer ◽

10.1002/cncr.25412 ◽

2010 ◽

Vol 117 (2) ◽

pp. 398-405 ◽

Cited By ~ 16

Author(s):

Tina W. F. Yen ◽

Linda K. Czypinski ◽

Rodney A. Sparapani ◽

Changbin Guo ◽

Purushottam W. Laud ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Survivors ◽

Socioeconomic Factors ◽

Hormone Therapy ◽

Breast Cancer Survivors ◽

Adjuvant Hormone Therapy ◽

Factors Associated

Download Full-text

Factors Associated With Specific Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Sexual Dysfunctions in Breast Cancer Survivors: A Study of Patients and Their Partners

Journal of Sexual Medicine ◽

10.1016/j.jsxm.2017.08.004 ◽

2017 ◽

Vol 14 (10) ◽

pp. 1248-1259 ◽

Cited By ~ 16

Author(s):

Susanna B. Hummel ◽

Daniela E.E. Hahn ◽

Jacques J.D.M. van Lankveld ◽

Hester S.A. Oldenburg ◽

Eva Broomans ◽

...

Keyword(s):

Breast Cancer ◽

Mental Disorders ◽

Cancer Survivors ◽

Breast Cancer Survivors ◽

Sexual Dysfunctions ◽

Fourth Edition ◽

Statistical Manual ◽

Factors Associated ◽

Diagnostic And Statistical Manual

Download Full-text

Cognitive and Psychological Factors Associated with Early Posttreatment Functional Outcomes in Breast Cancer Survivors

Journal of Psychosocial Oncology ◽

10.1080/07347330903183117 ◽

2009 ◽

Vol 27 (4) ◽

pp. 415-434 ◽

Cited By ~ 68

Author(s):

Stephanie A. Reid-Arndt ◽

Albert Yee ◽

Michael C. Perry ◽

Catherine Hsieh

Keyword(s):

Breast Cancer ◽

Cancer Survivors ◽

Psychological Factors ◽

Functional Outcomes ◽

Breast Cancer Survivors ◽

Factors Associated

Download Full-text

Factors associated with physical inactivity in adult breast cancer survivors-A population-based study

Cancer Medicine ◽

10.1002/cam4.1847 ◽

2018 ◽

Vol 7 (12) ◽

pp. 6331-6339 ◽

Cited By ~ 2

Author(s):

Salam A. Huneidi ◽

Nicole C. Wright ◽

Arnisha Atkinson ◽

Smita Bhatia ◽

Purnima Singh

Keyword(s):

Breast Cancer ◽

Cancer Survivors ◽

Physical Inactivity ◽

Breast Cancer Survivors ◽

Population Based ◽

Population Based Study ◽

Factors Associated

Download Full-text

Divorce after breast cancer diagnosis and its impact on quality of life

Palliative & Supportive Care ◽

10.1017/s1478951521001711 ◽

2021 ◽

pp. 1-6

Author(s):

Danbee Kang ◽

Nayeon Kim ◽

Gayeon Han ◽

Sooyeon Kim ◽

Hoyoung Kim ◽

...

Keyword(s):

Breast Cancer ◽

Quality Of Life ◽

Cancer Survivors ◽

Cancer Diagnosis ◽

Breast Cancer Survivors ◽

Breast Cancer Diagnosis ◽

Factors Associated ◽

After Cancer ◽

The Impact

Abstract Objective This study aims to identify factors associated with divorce following breast cancer diagnosis and measures the impact of divorce on the quality of life (QoL) of patients. Methods We used cross-sectional survey data collected at breast cancer outpatient clinics in South Korea from November 2018 to April 2019. Adult breast cancer survivors who completed active treatment without any cancer recurrence at the time of the survey (N = 4,366) were included. The participants were classified into two groups: “maintaining marriage” and “being divorced,” between at the survey and at the cancer diagnosis. We performed logistic regression and linear regression to identify the factors associated with divorce after cancer diagnosis and to compare the QoL of divorced and nondivorced survivors. Results Approximately 11.1/1,000 of married breast cancer survivors experienced divorce after cancer diagnosis. Younger age, lower education, and being employed at diagnosis were associated with divorce. Being divorced survivors had significantly lower QoL (Coefficient [Coef] = −7.50; 95% CI = −13.63, −1.36), social functioning (Coef = −9.47; 95% CI = −16.36, −2.57), and body image (Coef = −8.34; 95% CI = −6.29, −0.39) than survivors who remained married. They also experienced more symptoms including pain, insomnia, financial difficulties, and distress due to hair loss. Conclusion Identifying risk factors of divorce will ultimately help ascertain the resources necessary for early intervention.

Download Full-text