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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Sep 12, 2023
Open Peer Review Period: Sep 12, 2023 - Nov 7, 2023
Date Accepted: Nov 20, 2024
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

Tak YW, Kim J, Chung H, Lee SB, Park IJ, Lee SW, Jo Mw, Lee JW, Baek S, Lee Y

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

J Med Internet Res 2025;27:e52694

DOI: 10.2196/52694

PMID: 40168661

PMCID: 12000789

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Investigating Walking Trends and Long-Term mHealth Intervention Effects: Implications for Metabolic and QOL Outcomes in Cancer Patients

  • Yae Won Tak; 
  • Junetae Kim; 
  • Haekwon Chung; 
  • Sae Byul Lee; 
  • In Ja Park; 
  • Sei Won Lee; 
  • Min-woo Jo; 
  • Jong Won Lee; 
  • Seunghee Baek; 
  • Yura Lee

ABSTRACT

Background:

As the number of people diagnosed with cancer continues to rise each year, technology has come to the forefront in enhancing the efficacy of self-management for patients recovering from cancer surgery or undergoing chemotherapy. Despite the growing availability of digital technologies, there remains a shortage of randomized controlled trial (RCT) evidence substantiating the effectiveness of these digital interventions for cancer patients.

Objective:

This research aimed to evaluate the influence of a prolonged mHealth intervention (Walkon) on the physical and mental well-being of cancer patients.

Methods:

Cancer patients who had previously used the Walkon app within a prior RCT study were selected as study participants. Individuals without any recorded step count data were excluded from the analysis. The Walkon app provided step count data from the patients. Biometric measurements, including BMI, waist circumference, blood sugar levels, and body composition, along with Quality of Life (QOL) questionnaire responses (EQ-5D-5L and HINT-8), were collected during both the baseline and 6-month follow-up at an outpatient clinic. To analyze step count patterns over time, the Sample Entropy module from Python was employed for patient clustering, distinguishing between the Active Walking Group (AWG) and Inactive Walking Group (IWG).

Results:

This study did not show significant differences in biometric data between the baseline and the six-month follow-up for both AWG and IWG groups. However, in terms of QOL assessments, pain and the Visual Analog Scale (VAS) exhibited significant differences. Nonetheless, within the realm of biometric measurements, only waist circumference and visceral fat demonstrated a noteworthy enhancement exclusively within the AWG. Furthermore, concerning the QOL questionnaire, aspects such as energy, work, depression, memory, and happiness displayed significant improvements solely in the AWG, while other factors did not exhibit statistical significance.

Conclusions:

These findings indicate that a consistent, slightly higher level of physical activity, as observed in the AWG, tends to lead to substantial health improvements. Thus, cancer patients must receive a healthy level of walking enforcement.


 Citation

Please cite as:

Tak YW, Kim J, Chung H, Lee SB, Park IJ, Lee SW, Jo Mw, Lee JW, Baek S, Lee Y

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

J Med Internet Res 2025;27:e52694

DOI: 10.2196/52694

PMID: 40168661

PMCID: 12000789

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