Effects of exercise intervention in breast cancer patients: is mobile health (mHealth) with pedometer more effective than conventional program using brochure?
Abstract
Purpose To investigate and compare the effects of mobile health (mHealth) and pedometer with conventional exercise program using a brochure on physical function and quality of life (QOL).Methods The study was a prospective, quasi-randomized multicenter trial where 356 patients whose cancer treatment had been terminated were enrolled. All patients were instructed to perform a 12-week regimen of aerobic and resistance exercise. The mHealth group received a pedometer and a newly developed smartphone application to provide information and monitor the prescribed exercises. Those in the conventional group received an exercise brochure. Physical measurements were conducted at baseline, 6 weeks, and 12 weeks. Self-reported physical activity (international physical activity questionnaire-short form), general QOL (European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30), and breast cancer-specific QOL (Quality of Life Questionnaire Breast Cancer Module 23) were assessed at baseline and 12 weeks. A user satisfaction survey was assessed in the mHealth group.Results Basic characteristics were not different between the two groups except for age and previous radiotherapy. Physical function, physical activity, and QOL scores were significantly improved regardless of the intervention method, and changes were not significantly different between the two groups. Additionally, the mean Likert scale response for overall satisfaction with the service was 4.27/5 in the mHealth group.Conclusions Overall, both the mHealth coupled with pedometer and conventional exercise education using a brochure were effective in improving physical function, physical activity, and QOL. This study provides a basis of mHealth research in breast cancer patients for progressing further developing field, although superiority of the mHealth over the conventional program was not definitely evident.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The use of mHealth apps for behavior change to manage stress and symptoms of depression and anxiety for breast cancer survivors has shown effectiveness.
“The use of mHealth apps for behavior change to manage stress and symptoms of depression and anxiety for breast cancer survivors has shown effectiveness [15,17,30,41].”
From Co-Designing the MOSAIC mHealth App With Breast Cancer Survivors: User-Centered Design Approach (2024) · cites this paper as [41]
Of the 10 survivorship studies, 4 found significant effects of the mHealth apps on weight loss.
“Of the 10 studies, 4 found significant effects of the mHealth apps on weight loss [41-43,46].”
From Research-Tested Mobile Apps for Breast Cancer Care: Systematic Review (2019) · cites this paper as [42]
The citation lists haven’t been fetched yet
References 26 · Cited by 175
- Authors
- Uhm, K. E., Yoo, J. S., Chung, S. H., Lee, J. D., Lee, I., Kim, J. I., Lee, S. K., Nam, S. J., Park, Y. H., Lee, J. Y., & Hwang, J. H.
- Affiliations
- Konkuk University (KR)
- National Cancer Center (KR)
- Catholic Kwandong University International St. Mary's Hospital (KR)
- Samsung Medical Center (KR)
- The Catholic University of Korea Seoul St. Mary's Hospital (KR)
- Corresponding author
- Lee, Jong Doo
- Lee, Ji Youl
- Hwang, Ji Hye
- ORCID
- Venue
- Breast Cancer Research and Treatment
- Published
- 2016-12-08
- Volume
- 161
- Issue
- 3
- Pages
- 443-452
- ISSN
- 0167-6806 (ISSN-L)
- 1573-7217
- OpenAlex
- W2560207949
- Cited by
- 175
- References
- 26
- Citations by year
- 2026: 2 · 2025: 17 · 2024: 21 · 2023: 24 · 2022: 20 · 2021: 26 · 2020: 18 · 2019: 21 · 2018: 20 · 2017: 6
- FWCI
- 8.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Breast Cancer Research and Treatment (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministry of Science, ICT and Future Planning
- Ministry of Science ICT and Future Planning
- Ministry of Science and ICT, South Korea
- Topics
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- breast cancer, exercise intervention, mobile health, pedometers, mobile application, physical function, quality of life, physical activity, aerobic and resistance exercise, user satisfaction
- MeSH terms
- Adult, Breast Neoplasms, Combined Modality Therapy, Exercise Therapy, Female, Humans, Middle Aged, Neoplasm Staging, Physical Fitness, Quality of Life, Exercise, Comorbidity, Treatment Outcome, Telemedicine, Actigraphy, Self Report
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review