본문 바로가기
KERD
논문KCI 등재

Ecological Momentary Assessment Using Smartphone-Based Mobile Application for Affect and Stress Assessment

2

조회

0

다운로드

3

인용

0

참고문헌

키워드

초록

Objectives: This study aimed to describe the process of utilizing a mobile application for ecological momentary assessment (EMA) to collect data on stress and mood in daily life setting. Methods: A mobile application for the Android operating system was developed and installed with a set of questions regarding momentary mood and stress into a smartphone of a participant. The application sets alarms at semi-random intervals in 60-minute blocks, four times a day for 7 days. After obtaining all momentary affect and stress, the questions to assess the usability of the mobile EMA application were also administered. Results: The data were collected from 97 police officers working in Gyeonggi Province of South Korea. The mean completion rate was 60.0% ranging from 3.5% to 100%. The means of positive and negative affect were 18.34 of 28 and 19.09 of 63. The mean stress was 17.92 of 40. Participants responded that the mobile application correctly measured their affect (4.34 ± 0.83) and stress (4.48 ± 0.62) of 5-point Likert scale. Conclusions: Our study investigated the process of utilizing a mobile application to assess momentary affect and stress at repeated times. We found challenges regarding adherence to the research protocol, such as completion and delay of answering after alarm notification. Despite this inherent issue of adherence to the research protocol, the EMA still has advantages of reducing recall bias and assessing the actual moment of interest at multiple time points that improves ecological validity.

Abstract

Objectives: This study aimed to describe the process of utilizing a mobile application for ecological momentary assessment (EMA) to collect data on stress and mood in daily life setting. Methods: A mobile application for the Android operating system was developed and installed with a set of questions regarding momentary mood and stress into a smartphone of a participant. The application sets alarms at semi-random intervals in 60-minute blocks, four times a day for 7 days. After obtaining all momentary affect and stress, the questions to assess the usability of the mobile EMA application were also administered. Results: The data were collected from 97 police officers working in Gyeonggi Province of South Korea. The mean completion rate was 60.0% ranging from 3.5% to 100%. The means of positive and negative affect were 18.34 of 28 and 19.09 of 63. The mean stress was 17.92 of 40. Participants responded that the mobile application correctly measured their affect (4.34 ± 0.83) and stress (4.48 ± 0.62) of 5-point Likert scale. Conclusions: Our study investigated the process of utilizing a mobile application to assess momentary affect and stress at repeated times. We found challenges regarding adherence to the research protocol, such as completion and delay of answering after alarm notification. Despite this inherent issue of adherence to the research protocol, the EMA still has advantages of reducing recall bias and assessing the actual moment of interest at multiple time points that improves ecological validity.

참고문헌 (17)

  1. Stone AA, "Ecological momentary assessment(EMA)in behavioral medicine", Annu Behav Med, 16(3), pp.199~202 (1994)
  2. Shiffman S, "Ecological momentary assessment", Annu Rev Clin Psychol, 4, pp.1~32 (2008)
  3. Bolger N, "Intensive longitudinal methods:an introduction to diary and experience sampling research" (2013), Guilford Press
  4. Doherty ST, "Tracking human activity and well-being in natural environments using wearable sensors and experience sampling", Soc Sci Med, 106, pp.83~92 (2014)
  5. Shiffman S, "Dynamic influences on smoking relapse process", J Pers, 73(6), pp.1715~1748 (2005)
  6. Donker T, "Christensen H. Smartphones for smarter delivery of mental health programs: a systematic review", J Med Internet Res, 15(11), pp.e247~ (2013)
  7. Myin-Germeys I, "Experience sampling research in psychopathology : opening the black box of daily life", Psychol Med, 39(9), pp.1533~1547 (2009)
  8. Schwartz JE, "Strategies for analyzing ecological momentary assessment data", Health Psychol, 17(1), pp.6~16 (1998)
  9. Ebner-Priemer UW, "Ecological momentary assessment of mood disorders and mood dysregulation", Psychol Assess, 21(4), pp.463~475 (2009)
  10. Band R, "Significant other behavioural responses and patient chronic fatigue syndrome symptom fluctuations in the context of daily life : An experience sampling study", Br J Health Psychol, 21(3), pp.499~514 (2016)
  11. Clasen PC, "Mood-reactive selfesteem and depression vulnerability: person-specific symptom dynamics via smart phone assessment", PLoS One, 10(7), pp.e0129774~ (2015)
  12. Cook PF, "Motivation as a mechanism for daily experiences'effects on HIV medication adherence", J Assoc Nurses AIDS Care, 29(3), pp.383~393 (2018)
  13. Faherty LJ, "Movement patterns in women at risk for perinatal depression : use of a mood-monitoring mobile application in pregnancy", J Am Med Inform Assoc, 24(4), pp.746~753 (2017)
  14. Fuller-Tyszkiewicz M, "Determinants of depressive mood states in everyday life : an experience sampling study", Motiv Emot, 41(4), pp.510~521 (2017)
  15. Verhagen SJ, "Demonstrating the reliability of transdiagnostic mHealth Routine Outcome Monitoring in mental health services using experience sampling technology", PLoS One, 12(10), pp.e0186294~ (2017)
  16. Powell DJH, "Tracking daily fatigue fluctuations in multiple sclerosis : ecological momentary assessment provides unique insights", J Behav Med, 40(5), pp.772~783 (2017)
  17. Jones KK, "Experiences of African-American women with smartphone-based ecological momentary assessment", Public Health Nurs, 33(4), pp.371~380 (2016)

관련 논문AI추천

이 간행물의 다른 논문 (17건)