• Title/Summary/Keyword: online exercise coaching

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Development and Evaluation of an App-Based Self-Management Program for Exercise Practice of Breast Cancer Survivors: A Non-Randomized Controlled Trial (유방암 생존자의 운동실천을 위한 앱 기반 자가관리 프로그램 개발 및 효과: 비무작위 대조군 실험연구)

  • Maeng, Suyoun;Yu, Jungok
    • Journal of Korean Academy of Nursing
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    • v.54 no.2
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    • pp.250-265
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    • 2024
  • Purpose: This study aimed to develop an app-based self-management program based on the transtheoretical model (TTM) for breast cancer survivors' exercise practice, as well as to investigate the program's effects on the stage of change for exercise, exercise self-efficacy, exercise decisional balance, exercise amount, and body composition. Methods: This non-randomized controlled study included 52 participants (26 in each of the experimental and control groups, respectively). An app-based self-management program based on the TTM was conducted with the experimental group for a 12-week period. The program comprised three components: individual coaching for each stage of change for exercise based on TTM, amount of exercise and body composition monitoring, and online self-help meetings. Results: Compared with the control group, the experimental group had significantly higher stages of change for exercise (p < .001), exercise self-efficacy (p < .001), exercise decisional balance (p = .002), exercise amount (p < .001), and body composition (body weight [p = .006], body mass index [p = .005], and body fat percentage [p = .010]) immediately and four weeks after the intervention. Conclusion: An app-based self-management program based on the TTM improves exercise behaviors in breast cancer survivors and provides physical benefits.

Developing a Prototype of Motion-sensing Smart Leggings (동작센싱 스마트레깅스 프로토타입 개발)

  • Jin-Hee Hwang;Seunghyun Jee;Sun Hee Kim
    • Fashion & Textile Research Journal
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    • v.24 no.6
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    • pp.694-706
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    • 2022
  • This study focusses on the development of a motion-sensing smart leggings prototype with the help of a module that monitors motion using a fiber-type stretch sensor. Additionally, it acquires data on Electrocardiogram (ECG), respiration, and body temperature signals, for the development of smart clothing used in online exercise coaching and customized healthcare systems. The research process was conducted in the following order: 1) Fabrication of a fiber-type elastic strain sensor for motion monitoring, 2) Positioning and attaching the sensor, 3) Pattern development and three-dimensional (3D) design, 4) Prototyping 5) Wearability test, and 6) Expert evaluation. The 3D design method was used to develop an aesthetic design, and for sensing accurate signal acquisition functions, wearability tests, and expert evaluation. As a result, first, the selection or manufacturing of an appropriate sensor for the function is of utmost importance. Second, the selection and attachment method of a location that can maximize the function of the sensor without interfering with any activity should be studied. Third, the signal line selection and connection method should be considered, and fourth, the aesthetic design should be reflected along with functional verification. In addition, the selection of an appropriate material is important, and tests for washability and durability must be made. This study presented a manufacturing method to improve the functionality and design of smart clothing, through the process of developing a prototype of motion-sensing smart leggings.

Analysis of Yoga Keywords with Media Big Data (미디어 빅데이터를 통한 요가 관련 키워드 분석)

  • Chi, Dong-Cheol;Lim, Hyu-Seong;Kim, Jong-Hyuck
    • Journal of the Korea Convergence Society
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    • v.13 no.5
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    • pp.365-372
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    • 2022
  • South Korea is entering an aging society, and since the musculoskeletal system directly affects elders' daily life, muscle exercise and flexibility are required. In particular, yoga relaxes the mind and the body and heightens stress coping ability. To investigate keywords about yoga, news articles provided by BIGKinds, a news analysis system, was applied to collect articles from January 1, 2019, to December 31, 2021, and an analysis was conducted about the monthly keywords and the relationship followed by the weighted degree. Based on the research findings, first, it showed that there is high interest in yoga during the spring and autumn seasons. Second, yoga is offered in non-contact methods nowadays, and various social network services are applied for the operation. Third, there was high public attention to articles on yoga instructors and trainers, and this revealed the importance and interest in online coaching. It is anticipated to apply it for the development of yoga workout programs and base data to develop sports for all.