스마트폰 앱과 자가보고식 설문지의 신체활동 측정 비교
A Comparative Study on Measurement of Physical Activity between Smartphone App and Self-Reported Questionnaire
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초록
Purpose: The purpose of this study was to examine the level of agreement between smartphone apps and self-reportedphysical activity questionnaires. Methods: Quantitative methods were used to assess the correlation and agreementbetween the number of steps counted by a smartphone app and the amount of walking reported in a survey. A total of29 adults who used smartphones were recruited from a university, and their step counts from their smartphonepedometers and responses to the international physical activity questionnaire (IPAQ) were collected over a 10-weekperiod. Results: An analysis of 170 data pairs with Spearman's rho correlation and a Bland-Altman plot revealed a positivecorrelation between step counts from the smartphone app and walking activity from the IPAQ. The Bland-Altman plotalso demonstrated the agreement to be improved among female participants. Conclusion: In assessing walking activity,smartphone pedometer apps showed good correlation with the IPAQ and improved agreement with the IPAQ amongwomen. Therefore, it is suggested that the participants’ gender and activity intensity, as well as the accuracy ofmeasurement tools, should be considered in an evaluation of the delivery of physical activity promotion programs throughsmartphone apps.
Abstract
Purpose: The purpose of this study was to examine the level of agreement between smartphone apps and self-reportedphysical activity questionnaires. Methods: Quantitative methods were used to assess the correlation and agreementbetween the number of steps counted by a smartphone app and the amount of walking reported in a survey. A total of29 adults who used smartphones were recruited from a university, and their step counts from their smartphonepedometers and responses to the international physical activity questionnaire (IPAQ) were collected over a 10-weekperiod. Results: An analysis of 170 data pairs with Spearman's rho correlation and a Bland-Altman plot revealed a positivecorrelation between step counts from the smartphone app and walking activity from the IPAQ. The Bland-Altman plotalso demonstrated the agreement to be improved among female participants. Conclusion: In assessing walking activity,smartphone pedometer apps showed good correlation with the IPAQ and improved agreement with the IPAQ amongwomen. Therefore, it is suggested that the participants’ gender and activity intensity, as well as the accuracy ofmeasurement tools, should be considered in an evaluation of the delivery of physical activity promotion programs throughsmartphone apps.
참고문헌 (30)
- Ahmad, M. H., "Comparison between self-reported physical activity(IPAQ-SF)and pedometer among overweight and obese women in the MyBFF @home study", BMC Women's Health, 18(Suppl 1), pp.100~ (2018)[DOI]
- Bland, J., "Statistical methods for assessing agreement between two methods of clinical measurement", The Lancet, 327(8476), pp.307~310 (1986)
- Bort-Roig, J., "Measuring and influencing physical activity with smartphone technology : A systematic review", Sports Medicine, 44(5), pp.671~686 (2014)[DOI]
- Direito, A., "mHealth technologies to influence physical activity and sedentary behaviors : Behavior change techniques, Systematic review and meta-analysis of randomized controlled trials", Annals of Behavioral Medicine, 51(2), pp.226~239 (2017)[DOI]
- Dyrstad, S. M., "Comparison of self-reported versus accelerometermeasured physical activity", Medicine and Science in Sports and Exercise, 46(1), pp.99~106 (2014)[DOI]
- Giavarina, D., "Understanding Bland Altman analysis", Biochemia Medica, 25(2), pp.141~151 (2015)[DOI]
- 한영환, "가속도 센서를 이용한 걸음수 검출 알고리즘", 재활복지공학회논문지, 9(3), pp.245~250 (2015), 한국재활복지공학회[DOI]
- Harari, G. M., "An evaluation of students' interest in and compliance with self-tracking methods : Recommendations for incentives based on three smartphone sensing studies", Social Psychological and Personality Science, 8(5), pp.479~492 (2017)[DOI]
- Herrmann, S. D., "How many hours are enough? Accelerometer wear time may provide bias in daily activity estimates", Journal of Physical Activity and Health, 10(5), pp.742~749 (2013)[DOI]
- "Guideline for data processing and analysis of the International Physical Activity Questionnaire (IPAQ)-Short and long Forms" (2005)[URL]
- James, P., "Comparing GPS, log, survey, and accelerometry to measure physical activity", American Journal of Health Behavior, 40(1), pp.123~131 (2016)[DOI]
- Kilpatrick, M., "College students'motivation for physical activity : Differentiating men's and women's motives for sport participation and exercise", Journal of American College Health, 54(2), pp.87~94 (2005)[DOI]
- Kim, H. N., "Smartphone-based health program for improving physical activity and tackling obesity for young adults : A systematic review and meta-analysis", International Journal of Environmental Research and Public Health, 17(1), pp.15~ (2020)[DOI]
- Kim, Y., "Convergent validity of the international physical activity questionnaire(IPAQ) : Metaanalysis", Public Health Nutrition, 16(3), pp.440~452 (2013)[DOI]
- "national health portal" (2020)[URL]
- 이규일, "3차원 가속도계를 이용한 중학교 남녀 학생의 학기 중과 방학 중 신체활동 특성 이해 및 비교 분석", 한국체육학회지, 55(4), pp.253~261 (2016), 한국체육학회
- Lee, P. H., "Validity of the International Physical Activity Questionnaire Short Form(IPAQ-SF) : A systematic review", International Journal of Behavioral Nutrition and Physical Activity, 8(1), pp.115~ (2011)[DOI]
- 이선재, "스마트폰 보행이동 데이터를 활용한 노인의 역세권 이용실태 분석", 대한건축학회논문집, 34(3), pp.129~138 (2018), 대한건축학회[DOI]
- Lee, Y. Y., "Associations between self-reported and objectively measured physical activity and overweight", obesity among adults in Kota Bharu and Penang, Malaysia, 2019, pp.19(1), 621~
- Makarewicz, A., "Comparison of subjective and objective methods to measure the physical activity of non-depressed middle-aged healthy subjects with normal cognitive function and mild cognitive impairment-A cross-sectional study", International Journal of Environmental Research and Public Health, 18(15), pp.8042~ (2021)[DOI]
- Minetto, M. A., "Reproducibility and validity of the Italian version of the International Physical Activity Questionnaire in obese and diabetic patients", Journal of Endocrinological Investigation, 41(3), pp.343~349 (2018)[DOI]
- "The physical activity guide for Koreans" (2013)[URL]
- Murphy, J. J., "Validity and reliability of three self-report instruments for assessing attainment of physical activity guidelines in university students", Measurement in Physical Education and Exercise Science, 21(3), pp.134~141 (2017)[DOI]
- Sallis, J. F., "Assessment of physical activity by self-report : Status, limitations, and future directions", Research Quarterly for Exercise and Sport, 71(sup2), pp.1~14 (2000)[DOI]
- Schmidt, C., "Comparison of questionnaire and accelerometer-based assessments of physical activity in patients with heart failure with preserved ejection fraction : Clinical and prognostic implications", Scandinavian Cardiovascular Journal, 54(2), pp.77~83 (2020)[DOI]
- 서경산, "여자 대학생의 스마트 폰 앱 활용 신체활동 경험: 포커스 그룹 인터뷰", 디지털콘텐츠학회논문지, 21(10), pp.1817~1824 (2020), 한국디지털콘텐츠학회[DOI]
- 서경산, "Agreement of Physical Activity Measured Using Self-Reporting Questionnaires with Those Using Actigraph Devices, Focusing on the Correlation with Psychological State", Journal of Korean Biological Nursing Science, 23(4), pp.287~297 (2021), 한국기초간호학회
- Stuckey, M. I., "The role of smartphones in encouraging physical activity in adults", International Journal of General Medicine, 10, pp.293~303 (2017)[DOI]
- Troiano, R. P., "Can there be a single best measure of reported physical activity?", The American Journal of Clinical Nutrition, 89(3), pp.736~737 (2009)[DOI]
- Wijndaele, K., "Reliability and validity of a domain-specific last 7-d sedentary time questionnaire", Medicine & Science in Sports & Exercise, 46(6), pp.1248~1260 (2014)[DOI]