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Agreement of Physical Activity Measured Using Self-Reporting Questionnaires with Those Using Actigraph Devices, Focusing on the Correlation with Psychological State 원문보기

Journal of Korean biological nursing science, v.23 no.4, 2021년, pp.287 - 297  

Seo, Kyoungsan (College of Nursing, Chungnam University) ,  Jung, Mi Ok (Department of Nursing, Inha University Hospital) ,  Suh, Minhee (Department of Nursing, Inha University)

Abstract AI-Helper 아이콘AI-Helper

Purpose: This study aimed to evaluate the correlation and agreement of physical activity (PA) between data obtained from wearable Actigraph devices and self-reporting questionnaires, and to investigate the relationship between psychological state (depression, anxiety, and fatigue) and PA. Methods: A...

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참고문헌 (46)

  1. Moxley E, Webber-Ritchey KJ, Hayman LL. Global impact of physical inactivity and implications for public health nursing. Public Health Nursing. 2021. Forthcoming. https://doi.org/10.1111/phn.12958 

  2. Ryu SI, Kim A. Development and effects of a physical activity promotion programs for elderly patients hospitalized in long-term care hospital. The Korean Journal of Fundamentals of Nursing. 2020;11:400-412. https://doi.org/10.7739/jkafn.2020.27.4.400 

  3. Oh J, Huh I. Influence of physical activity level on the health-related quality of life of cancer survivors: based on the Korea National Health and Nutrition Examination Survey for 2014-2018. Journal of Korean Public Health Nursing. 2021;35(1):72-88. https://doi.org/10.5932/JKPHN.2021.35.1.72 

  4. Sallis JF, Saelens BE. Assessment of physical activity by self-report: status, limitations, and future directions. Research Quarterly for Exercise and Sport. 2000;71(2 Suppl):S1-14. https://doi.org/10.1080/02701367.2000.11082780 

  5. Nicaise V, Crespo NC, Marshall S. Agreement between the IPAQ and accelerometer for detecting intervention-related changes in physical activity in a sample of latina women. Journal of Physical Activity & Health. 2014;11(4):846-852. https://doi.org/10.1123/jpah.2011-0412 

  6. Tudor-Locke C, Barreira TV, Schuna JM, Jr., Mire EF, Katzmarzyk PT. Fully automated waist-worn accelerometer algorithm for detecting children's sleep-period time separate from 24-h physical activity or sedentary behaviors. Applied Physiology, Nutrition, and Metabolism. 2014;39(1):53-57. https://doi.org/10.1139/apnm-2013-0173. 

  7. Ainsworth B, Cahalin L, Buman M, Ross R. The current state of physical activity assessment tools. Proqress in Cardiovascular Diseases. 2015;57(4):387-395. https://doi.org/10.1016/j.pcad.2014.10.005 

  8. Kramer SF, Johnson L, Bernhardt J, Cumming T. Validity of multisensor array for measuring energy expenditure of an activity bout in early stroke survivors. Stroke Research and Treatment. 2018;2018:9134547. https://doi.org/10.1155/2018/9134547. 

  9. Westerterp KR. Physical activity and physical activity induced energy expenditure in humans: measurement, determinants, and effects. Frontiers in Physiology. 2013;4:90. https://doi.org/10.3389/fphys.2013.00090 

  10. Wijndaele K, Bourdeaudhuij IDE, Godino JG , Lynch BM , Griffin SJ , Westgate K, et al. Reliability and validity of a domain-specific last 7-d sedentary time questionnaire. Medicine & Science in Sports & Exercise. 2014;46(6):1248-1260. https://doi.org/10.1249/MSS.0000000000000214. 

  11. Troiano RP. Can there be a single best measure of reported physical activity?. The American Journal of Clinical Nutrition. 2009;89:736-737. https://doi.org/10.3945/ajcn.2008.27461 

  12. Boon RM, Hamlin MJ, Steel GD, Ross JJ. Validation of the New Zealand Physical Activity Questionnaire (NZPAQ-LF) and the International Physical Activity Questionnaire (IPAQ-LF) with accelerometry. British Journal of Sports Medicine. 2010;44(10):741-746. https://doi.org/10.1136/bjsm.2008.052167 

  13. Schmidt C, Santos M, Bohn L, Delgado BM, Moreira-Goncalves D, LeiteMoreira A, et al. 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. 2020;54(2):77-83. https://doi.org/10.1080/14017431.2019.1707863. 

  14. Dyrstad SM, Hansen BH, Holme IM, Anderssen SA. Comparison of self-reported versus accelerometer-measured physical activity. Medicine and Science in Sports and Exercise. 2014;46(1):99-106. https://doi.org/10.1249/mss.0b013e3182a0595f 

  15. Wolf S, Seiffer, B, Zeibig JM, Welkerling J, Brokmeier L, Atrott B, et al. Is physical activity associated with less depression and anxiety during the COVID-19 Pandemic? A rapid systematic review. Sports Medicine. 2021;51(8):1771-1783. https://doi.org/10.1007/s40279-021-01468-z 

  16. Vetrovsky T, Omcirk D, Malecek J, Stastny P, Steffl M, Tufano JJ. Morning fatigue and structured exercise interact to affect non-exercise physical activity of fit and healthy older adults. BMC Geriatrrics. 2021;21(1): 179. https://doi.org/10.1186/s12877-021-02131-y. 

  17. Koohsari MJ, Nakaya T, McCormack GR, Shibata A, Ishii K, Oka K, et al. Changes in workers' sedentary and physical activity behaviors in response to the COVID-19 pandemic and their relationships with fatigue: longitudinal online study. JMIR Public Health and Surveillance. 2021;7(3):e26293. https://doi.org/10.2196/26293. 

  18. Dore I, Plante A, Peck SS, Bedrossian N, Sabiston CM. Physical activity and sedentary time: associations with fatigue, pain, and depressive symptoms over 4 years post-treatment among breast cancer survivors. Support Care Cancer. 2021. Forthcoming. https://doi.org/10.1007/s00520-021-06469-2. 

  19. Klumpp H, Roberts J, Kapella MC, Kennedy AE, Kumar A, Phan KL. Subjective and objective sleep quality modulate emotion regulatory brain function in anxiety and depression. Depression and Anxiety. 2017;34(7):651-660. https://doi.org/10.1002/da.22622. 

  20. Sater RA, Gudesblatt M, Kresa-Reahl K, Brandes DW, Sater PA. The relationship between objective parameters of sleep and measures of fatigue, depression, and cognition in multiple sclerosis. Multiple Sclerosis Journal-Experimental, Translational and Clinical. 2015;1:1-8. https://doi.org/10.1177/2055217315577828 

  21. Volkovich E, Tikotzky L, Manber R. Objective and subjective sleep during pregnancy: links with depressive and anxiety symptoms. Archives of Women's Mental Health. 2016;19(1):173-181. https://doi.org/10.1007/s00737-015-0554-8. 

  22. Craig CL, Marshall AL, Sjostrom M, Bauman A, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P: International Physical Activity Questionnaire: 12-country reliability and validity. Medicine and Science in Sports and Exercise 2003; 35:1381-1395. 

  23. Ozemek C, Kirschner MM, Wilkerson BS, Byun W, Kaminsky LA. Intermonitor reliability of the GT3X+ accelerometer at hip, wrist and ankle sites during activities of daily living. Physiological Measurement. 2014;35(2):129-138. https://doi.org/10.1088/0967-3334/35/2/129 

  24. Van Remoortel H, Raste Y, Louvaris Z, Giavedoni S, Burtin C, Langer D, et al. Validity of six activity monitors in chronic obstructive pulmonary disease: a comparison with indirect calorimetry. PloS one. 2012;7(6):e39198. https://doi.org/10.1371/journal.pone.0039198. 

  25. Troiano RP. Large-scale applications of accelerometers: new frontiers and new questions. Medicine and Science in Sports and Exercise. 2007;39(9):1501. https://doi.org/10.1097/mss.0b013e318150d42e 

  26. Sasaki JE, Hickey AM, Staudenmayer JW, John D, Kent JA, Freedson PS. Performance of activity classification algorithms in free-living older adults. Medicine and Science in Sports and Exercise. 2016;48(5):941-950. https://doi.org/10.1249/mss.0000000000000844 

  27. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Applied Psychological Measurement. 1977;1(3):385-401. https://doi.org/10.1177/014662167700100306 

  28. Chon KK, Choi SC, Yang BC. Integrated adaptation of CES-D in Korea. Korean Journal of Health Psychology. 2001;6(1):59-76. 

  29. Spielberger CD. State-trait anxiety inventory. In The Corcini Encyclopedia of Psychology. New Jersey: John Wiley & Sons, inc; 2010. p1. https://doi.org/10.1002/9780470479216.corpsy0943 

  30. Lee J, Hong H. The effect of music therapy on anxiety and vital signs of spinal anesthesia operative patients. Korean Society of Biological Nursing Science. 2008;10(2):113-120. 

  31. Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD. The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Archives of Neurology. 1989;46(10):1121-1123. https://doi.org/10.1001/archneur.1989.00520460115022. 

  32. Chung K, Song C. Clinical usefulness of fatigue severity scale for patients with fatigue, and anxiety or depression. Korean Journal of Psychosomatic Medicine. 2001;9(2):164-173. 

  33. Park JY, Kim N, Kang SH. Analysis of physical activity measured by international physical activity questionnaire and actigraph accelerometer, and participation intention for physical activity of breast cancer survivors. Journal of Korean Biological Nursing Science. 2015;17(2):104-113. https://doi.org/10.7586/jkbns. 2015.17.2.104. 

  34. Shiroma EJ, Cook NR, Manson JE, Buring JE, Rimm EB, Lee IM. Comparison of self-reported and accelerometer-assessed physical activity in older women. PLOS One. 2015;10(12):e0145950. https://doi.org/10.1371/journal.pone.0145950. 

  35. Domingos C, Correia Santos N, Pego JM. Association between self-reported and accelerometer-based estimates of physical activity in portuguese older adults. Sensors. 2021;21(7):2258. https://doi.org/10.3390/s21072258. 

  36. Ferrari GLM, Kovalskys I, Fisberg M, Gomez G, Rigotti A, Sanabria LYC, et al. Comparison of self-report versus accelerometer - measured physical activity and sedentary behaviors and their association with body composition in Latin American countries. PLOS One. 2020;15(4):e0232420. https://doi.org/10.1371/journal.pone.0232420 

  37. Makarewicz A, Jamka M, Wasiewicz-Gajdzis M, Bajerska J, Miskiewicz-Chotnicka A, Kwiecien J, et al. 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. 2021;18(15):8042. https://doi.org/10.3390/ijerph18158042. 

  38. Huang R, Zhang H, Yang Y, Fang N, Liu Q, Ma J, et al. Validation of the Chinese version of the low physical activity questionnaire (LoPAQ) with ActiGraph accelerometer in hemodialysis patients. BioMed Central Nephrology. 2021;22(1):17. https://doi.org/10.1186/s12882-021-02230-3. 

  39. Seo K. Factors affecting regular physical activity in nursing students. Journal of Health Infomatics Statistics. 2019;44(1):92-101. https://doi.org/10.21032/jhis.2019.44.1.92 

  40. Siebeling L, Wiebers S, Beem L, Puhan MA, Ter Riet G. Validity and reproducibility of a physical activity questionnaire for older adults: questionnaire versus accelerometer for assessing physical activity in older adults. Clinical Epidemiology. 2012;4:171-180. https://doi.org/10.2147/clep.s30848. 

  41. Allen MS, Walter EE, Swann C. Sedentary behaviour and risk of anxiety: A systematic review and meta-analysis. Journal of Affective Disorders. 2019;242:5-13. https://doi.org/10.1016/j.jad.2018.08.081. 

  42. Huang Y, Li L, Gan Y, Wang C, Jiang H, Cao S, et al. Sedentary behaviors and risk of depression: a meta-analysis of prospective studies. Translational Psychiatry. 2020;10(1):26. https://doi.org/10.1038/s41398-020-0715-z. 

  43. Lee YY, Kamarudin KS, Wan Muda WAM. Associations between self-reported and objectively measured physical activity and overweight/obesity among adults in Kota Bharu and Penang, Malaysia. BioMed Central Public Health. 2019;19(1):621. https://doi.org/10.1186/s12889-019-6971-2. 

  44. Kandola AA, Del Pozo Cruz B, Osborn DPJ, Stubbs B, Choi KW, Hayes JF. Impact of replacing sedentary behaviour with other movement behaviours on depression and anxiety symptoms: a prospective cohort study in the UK Biobank. BMC Medicine. 2021;19(1):133. https://doi.org/10.1186/s12916-021-02007-3. 

  45. Fawole HO, Felson DT, Frey-Law LA, Jafarzadeh SR, Dell'Isola A, Steultjens MP, et al. Is the association between physical activity and fatigue mediated by physical function or depressive symptoms in symptomatic knee osteoarthritis? The multicenter osteoarthritis study. Scandinavian Journal of Rheumatology. 2021;50(5):372-380. https://doi.org/10.1080/03009742.2020.1854850. 

  46. Kilpatrick M, Hebert E, Bartholomew J. College students' motivation for physical activity: differentiating men's and women's motives for sport participation and exercise. Journal of American College Health. 2004;54(2):87-94. https://doi.org/10.3200/jach.54.2.87-94. 

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