DOI QR코드

DOI QR Code

Study on Compliance in Sleep Life Log: Observational Cohort Study

수면 라이프로그 순응도에 대한 연구

  • Su-Min Seo (KM Data Division, Korea Institute of Oriental Medicine) ;
  • Young-Hwa Baek (KM Data Division, Korea Institute of Oriental Medicine) ;
  • Si-Woo Lee (KM Data Division, Korea Institute of Oriental Medicine) ;
  • Hyun-Chul Jang (KM Data Division, Korea Institute of Oriental Medicine)
  • 서수민 (한국한의학연구원 한의약데이터부) ;
  • 백영화 (한국한의학연구원 한의약데이터부) ;
  • 이시우 (한국한의학연구원 한의약데이터부) ;
  • 장현철 (한국한의학연구원 한의약데이터부)
  • Received : 2023.04.05
  • Accepted : 2023.04.26
  • Published : 2023.04.30

Abstract

Objectives : This study collected sleep information by wearable device in the Korean medicine Daejeon citizen cohort (KDCC). It was measured based on the sleep record information measured by wearing a Fitbit, and the possibility of clinical use was examined for compliance with objective sleep collection. Based on compliance, the possibility of clinical use was examined. Methods : After surveying personal information and PSQI(Pittsburgh Sleep Quality Index), sleep information was collected by Fitbit for 14 days. Compliance was measured based on sleep record information by Fitbit. Compliance was analyzed by sex, age, BMI(Body Mass Index), and sleep group(deep/poor). Results : The number of participants was 730, and the compliance was 94.3%, and the compliance group was 675(92.5%). The age of the participants varied from 30 to 60 years old, and the average age was 46±6.7 years. There were 218 males and 512 females. Young people have high compliance. Males are more compliance than females. As the BMI score decreased in the 30s, the compliance was higher. The underweight group in all age groups had 100 compliance. The underweight group was all female. The low compliance groups were that 30 years males (obesity level2), 50 years females (overweight group), and 50 years females (obesity level2). There was no significant difference in compliance between deep sleep group and poor sleep group. In deep sleep group, females showed higher compliance. In poor sleep group, males showed higher compliance. The average duration of Fitbit usage among participants was 20.1 days. The compliant group wore the device for an average of 21.3 days, while the non-compliant group wore it for only 5.2 days. Of the compliant group, 86.9% (73.8% of all participants) continued to wear the Fitbit after the recommended 14-day period, and 50.8% wore it for more than 20 days. Conclusions : This study showed the possibility of adaptation for wearing a Fitbit for collecting objective sleep information. It is judged that the compliance is high because it was worn for more than 13.2 days out of the 14 days required. It is considered meaningful because the compliance was measured based on the sleep information by Fitbit, not the questionnaire. As the data on objective sleep time is collected automatically, we believe that the burden on participants after the study period is not significant for a certain period. Compliance may be even higher for cohorts related to illnesses and with doctor's orders, rather than for the general population.

Keywords

Acknowledgement

본 연구는 산업통상자원부의 수면산업 실증기반 구축 및 기술 고도화 지원사업(P0014279)의 지원을 받아 수행되었습니다.

References

  1. https://www.sleepnet.or.kr/sleep/disorder?content=insomnia, KOREAN SLEEP RESEARCH SOCIETY
  2. https://terms.naver.com/entry.naver?docId=3390855&cid=63166&categoryId=55605
  3. Choi SJ, JO HJ, KIM DY, JOO EY. Sleep-Wake Pattern, Sleep Quality and Daytime Status in Fixed Day-Shift Hospital Workers. J Sleep Med. 2021;18(3):167-174 https://doi.org/10.13078/jsm.210021
  4. https://www.nhis.or.kr/nhis/together/wbhaec06700m01.do?mode=view&articleNo=10827651, National Health Insurance Service
  5. Lee SY, Kim SH, Bang YR, Jang SH, Bae WY, Kim SJ. The Impact of Depressive Symptom on Efficacy and Compliance of Positive Airway Pressure in Obstructive Sleep Apnea. J Korean Soc Biol Ther Psychiatry. 2021;27(3):190-199
  6. Park SK, Lee SW, Ahn DH, Cha MY. Designing a Mobile Intervention Platform to Help Alleviate Insomnia Symptoms in College Students. J Korean Soc Biol Ther Psychiatry. 2021;27(1):50-58
  7. Maher C, Ryan J, Ambrosi C, Edney S. Users' experiences of wearable activity trackers: a cross-sectional study. BMC Public Health. 2017; 17(880). https://doi.org/10.1186/s12889-017-4888-1
  8. Park YJ, Lee WC, Yim HW, Park YM. The Association between Sleep and Obesity in Korean Adults. J Prev Med Public Health 2007; 40(6):454-460. https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001202621 https://doi.org/10.3961/jpmph.2007.40.6.454
  9. Korea Health Statistics 2021: Korea National Health and Nutrition Examination Survey (KNHANES VIII-3). https://knhanes.kdca.go.kr/knhanes/sub04/sub04_04_03.do
  10. Baek YH, Seo BN, Jeong KS, Yoo HY, Lee SW. Lifestyle, genomic types and non-communicable diseases in Korea: a protocol for the Korean Medicine Daejeon Citizen Cohort study (KDCC). BMJ Open. 2020;10(4):e034499. [doi: 10.1136/bmjope-2019-034499]
  11. Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a newinstrument for psychiatric practice and research. Psychiatry Research. 1989;28(2):193-213. https://doi.org/10.1016/0165-1781(89)90047-4
  12. Choi HJ, Kim SJ, Kim BJ, Kim IJ. Psychometric properties of the Korean versions of three sleep evaluation questionnaires. Clinical Nursing Research. 2015;24(5):526-38. https://doi.org/10.1177/1054773814549827
  13. https://dev.fitbit.com/build/reference/web-api/
  14. Hartman S, Nelson S, Weiner L. Patterns of Fitbit Use and Activity Levels Throughout a Physical Activity Intervention: Exploratory Analysis from a Randomized Controlled Trial. JMIR Mhealth Uhealth. 2018;6(2):e29
  15. Katzan I, Schuster A, Kinzy T. Physical Activity Monitoring Using a Fitbit Device in Ischemic Stroke Patients: Prospective Cohort Feasibility Study. JMIR MHEALTH AND UHEALTH. 2021;9(1):e14
  16. Kathryn R. Middleton, Stephen D. Anton, Michal G. Perri, Long-Term Adherence to Health Behavior Change. Am J Lifestyle Med. 2013;7(6):395-404. https://doi.org/10.1177/1559827613488867
  17. Hermse S, Moons J, Kerkhof P, Wiekens C, Groot M. Determinants for Sustained Use of an Activity Tracker: JMIR Mhealth Uhealth 2017;5(10):e164.