피트니스 트래커를 활용한 보육교사의 스트레스 관련 생체지표특성경향과 심리척도와의 관계에 대한 탐색적 연구An exploratory study on the relationship between stress-related biomarker characteristics and psychological scales of daycare teachers using fitness tracker
- Other Titles
- An exploratory study on the relationship between stress-related biomarker characteristics and psychological scales of daycare teachers using fitness tracker
- Authors
- 이정민; 김유미
- Issue Date
- Dec-2022
- Publisher
- 한국보육지원학회
- Keywords
- childcare teacher; job stress; sleep; fitness tracker; physiological model
- Citation
- 한국보육지원학회지, v.18, no.6, pp 75 - 99
- Pages
- 25
- Journal Title
- 한국보육지원학회지
- Volume
- 18
- Number
- 6
- Start Page
- 75
- End Page
- 99
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/152238
- ISSN
- 1738-9496
2508-4208
- Abstract
- Objective: This study aims to explore ways to empirically analyze and manage childcare teachers' job stress based on their relationship with stress-related physiological indicators measured by a fitness tracker.
Methods: The study participants were 27 childcare teachers in Gyeonggi-do and wore Garmin's wearable fitness tracker Vivosmart 4 for 15 days for three months. The collected information was analyzed for mean, SD, ANOVA, and correlation using JAMOVI 2.00.
Results: First, among the daily changes of physiological indicators measured by a fitness tracker, the data collected on Mondays were significant. On Mondays, the stress index was high, the duration of the rest period was short, and the sleep time was short. The stress of childcare teachers showed a significant negative relationship with the body battery which was calculated by considering the duration of the rest period, heart rate variability, stress, and activity level. Also, the duration of deep sleep was positively correlated with a low degree of stress. There was a significant relationship between the childcare teachers' psychological indicators and the biomarkers measured by fitness trackers.
Conclusion/Implications: Stress research using a fitness tracker is big data, and in-depth analysis is possible. Fitness trackers can collect and utilize repeated measurement data for each individual childcare teacher.
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