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:: جلد 22، شماره 1 - ( زمستان 1398: 1-201 1398 ) ::
جلد 22 شماره 1 صفحات 92-98 برگشت به فهرست نسخه ها
همبستگی بین شاخص جدید تعادل حین فعالیت با استفاده از شتاب‌سنج و تعادل وضعیتی در زنان سالمند
زهرا اسدی سامانی، نادر رهنما، جلیل رئیسی، شهرام لنجان نژادیان
چکیده:   (437 مشاهده)
هدف: پایداری و تعادل در سالمندان با استفاده از چندین روش اندازه‌گیری می‌شود. هدف از پژوهش حاضر ارائه شاخصی جدید برای ارزیابی تعادل حین فعالیت با استفاده از شتاب‌سنج و تعیین ارتباط بین این شاخص با نمرات آزمون‌های تعادل وضعیتی زنان سالمند بود.
مواد و روشها: تعداد 92 نفر از سالمندان بالای 65 سال به صورت هدفمند و در دسترس انتخاب و در این تحقیق شرکت نمودند. به منظور سنجش تعادل، از آزمون‌های ایستادن روی یک پا، برگ، دستیابی عملکردی، 10 متر راه رفتن، آزمون برخاستن و حرکت کردن و نمره ترس از افتادن استفاده شد. شتاب مرکز بدن با استفاده از شتاب‌سنج سه جهته ساخت شرکت دانش‌بنیان دیده‌پرداز صبا ثبت و با تحلیل آن شاخص تعادل حین فعالیت محاسبه شد.
 یافته‌ها: نتایج ضریب همبستگی منفی بین شاخص‌ تعادل با زمان آزمون برخاستن و حرکت کردن و زمان 10 متر راه رفتن به ترتیب (001/0=p، 503/0-=r و 001/0=p، 664/0-=r) نشان داد. ضریب همبستگی  مثبت و معنی‌داری بین شاخص تعادل با نمره آزمون ترس از افتادن (001/0=p، 444/0=r) مشاهده شد. ضریب همبستگی آزمون دستیابی عملکردی و آزمون تعادل برگ با شاخص تعادل به ترتیب (001/0=p، 395/0=r و 001/0=p، 368/0=r) بود. ناحیه زیر منحنی مشخصه عملکرد سیستم (ROC) برای میزان افتادن زنان سالمند حساسیت برابر با 857/0 و ویژگی برابر با 445/0 را نشان داد.
نتیجه‌گیری: از یافته‌های این تحقیق می‌توان نتیجه‌گیری کرد که استفاده از شتاب‌سنج و شاخص جدید تعادل روشی مطمئن و معتبر برای اندازه‌گیری تعادل وضعیتی زنان سالمند است که نشان می‌دهد شاخص تعادل می‌تواند افتادن در سالمندان را به خوبی پیش‌بینی نماید.
 
واژه‌های کلیدی: شاخص تعادل حین فعالیت، شتاب‌سنج، تعادل وضعیتی، زنان سالمند
متن کامل [PDF 638 kb]   (106 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: عمومى
دریافت: ۱۳۹۷/۱۲/۲۱ | پذیرش: ۱۳۹۸/۴/۴ | انتشار: ۱۳۹۸/۱۰/۱۴
فهرست منابع
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26. [1] Pereira JR, Gobbi S, Teixeira CV, Nascimento CM, Corazza DI, Vital TM, et al. Effects of square-stepping exercise on balance and depressive symptoms in older adults. Motriz: Revista de Educação Física 2014; 20: 454-460. [DOI:10.1590/S1980-65742014000400013]
27. [2] Teixeira CV, Gobbi S, Pereira JR, Ueno DT, Shigematsu R, Gobbi LT. Effect of square‐stepping exercise and basic exercises on functional fitness of older adults. Geriatr Gerontol Int 2013; 13: 842-848. [DOI:10.1111/ggi.12011] [PMID]
28. [3] Halvarsson A, Dohrn IM, Ståhle A. Taking balance training for older adults one step further: the rationale for and a description of a proven balance training programme. Clin Rehabil 2015; 29: 417-425. [DOI:10.1177/0269215514546770] [PMID] [PMCID]
29. [4] Mirzaie M, Darabi S. Population aging in Iran and rising health care costs. Iran J Aging 2017; 12: 156-169. [DOI:10.21859/sija-1202156]
30. [5] Shigematsu R, Okura T, Sakai T, Rantanen T. Square-stepping exercise versus strength and balance training for fall risk factors. Aging Clin Exp Res 2008; 20: 19-24. [DOI:10.1007/BF03324743] [PMID]
31. [6] Borhaninejad V, Rashedi V, Tabe R, Delbari A, Ghasemzadeh H. Relationship between fear of falling and physical activity in older adults. Med J Mashhad Univ Med Sci 2015; 58: 446-452. (Persian).
32. [7] Seimetz C, Tan D, Katayama R, Lockhart T. A comparison between methods of measuring postrual stability: force plates versus accelerometers. Biomed Sci Instrum 2012; 48: 386-392.
33. [8] Mayagoitia RE, Lötters JC, Veltink PH, Hermens H. Standing balance evaluation using a triaxial accelerometer. Gait Posture 2002; 16: 55-59. [DOI:10.1016/S0966-6362(01)00199-0]
34. [9] Kramer AF, Hahn S, Cohen NJ, Banich MT, McAuley E, Harrison CR, et al. Ageing, fitness and neurocognitive function. Nature 1999; 400: 418-419. [DOI:10.1038/22682] [PMID]
35. [10] Shigematsu R, Okura T. A novel exercise for improving lower-extremity functional fitness in the elderly. Aging Clin Exp Res 2006; 18: 242-248. [DOI:10.1007/BF03324655] [PMID]
36. [11] Shigematsu R, Okura T, Nakagaichi M, Tanaka K, Sakai T, Kitazumi S, Rantanen T. Square-stepping exercise and fall risk factors in older adults: a single-blind, randomized controlled trial. J Gerontol A Biol Sci Med Sci 2008; 63: 76-82. [DOI:10.1093/gerona/63.1.76] [PMID]
37. [12] Kashani VO, Salmanzade M, Bahrami L. Determination of validity and reliability of the Persian version of the 9-item Berg balance scale in elderly people. J Koomesh 2018; 20: 25-33. (Persian).
38. [13] Kashani VO, Zarifkar M, Alinaghipoor Z. Determining validity and reliability of the Persian version of activities-specific balance confidence scale for elderly. J Koomesh 2018; 20: 705-712. (Persian).
39. [14] Khajavi D. Validation and reliability of Persian version of fall efficacy scale-international (FES-I) in community-dwelling older adults. Iran J Ageing 2013; 8: 39-47. (Persian).
40. [15] O'Sullivan M, Blake C, Cunningham C, Boyle G, Finucane C. Correlation of accelerometry with clinical balance tests in older fallers and non-fallers. Age Ageing 2009; 38: 308-313. [DOI:10.1093/ageing/afp009] [PMID]
41. [16] Doi T, Hirata S, Ono R, Tsutsumimoto K, Misu S, Ando H. The harmonic ratio of trunk acceleration predicts falling among older people: results of a 1-year prospective study. J Neuroeng Rehabil 2013; 10: 7. [DOI:10.1186/1743-0003-10-7] [PMID] [PMCID]
42. [17] Sun R, Moon Y, McGinnis RS, Seagers K, Motl RW, Sheth N, et al. Assessment of postural sway in individuals with multiple sclerosis using a novel wearable inertial sensor. Digital Biomarkers 2018; 2: 1-10. [DOI:10.1159/000485958]
43. [18] Howcroft J, Kofman J, Lemaire ED. Review of fall risk assessment in geriatric populations using inertial sensors. J Neuroeng Rehabil 2013; 10: 91. [DOI:10.1186/1743-0003-10-91] [PMID] [PMCID]
44. [19] Caby B, Kieffer S, de Saint Hubert M, Cremer G, Macq B. Feature extraction and selection for objective gait analysis and fall risk assessment by accelerometry. Biomed Eng Online 2011; 10: 1. [DOI:10.1186/1475-925X-10-1] [PMID] [PMCID]
45. [20] Ganea R, Paraschiv-Ionescu A, Büla C, Rochat S, Aminian K. Multi-parametric evaluation of sit-to-stand and stand-to-sit transitions in elderly people. Med Eng Phys 2011; 33: 1086-1093. [DOI:10.1016/j.medengphy.2011.04.015] [PMID]
46. [21] Giansanti D. Investigation of fall-risk using a wearable device with accelerometers and rate gyroscopes. Physiol Meas 2006; 27: 1081-1090. [DOI:10.1088/0967-3334/27/11/003] [PMID]
47. [22] Giansanti D, Maccioni G, Cesinaro S, Benvenuti F, Macellari V. Assessment of fall-risk by means of a neural network based on parameters assessed by a wearable device during posturography. Med Eng Phys 2008; 30: 367-372. [DOI:10.1016/j.medengphy.2007.04.006] [PMID]
48. [23] Gietzelt M, Nemitz G, Wolf KH, Meyer Zu Schwabedissen H, Haux R, Marschollek M. A clinical study to assess fall risk using a single waist accelerometer. Inform Health Soc Care 2009; 34: 181-188. [DOI:10.3109/17538150903356275] [PMID]
49. [24] Liu Y, Redmond SJ, Narayanan MR, Lovell NH. Classification between non-multiple fallers and multiple fallers using a triaxial accelerometry-based system. in 2011 annual international conference of the IEEE engineering in medicine and biology society. 2011; 1499-1502.
50. [25] Weiss A, Herman T, Plotnik M, Brozgol M, Giladi N, Hausdorff JM. An instrumented timed up and go: the added value of an accelerometer for identifying fall risk in idiopathic fallers. Physiol Meas 2011; 32: 2003-2018. [DOI:10.1088/0967-3334/32/12/009] [PMID]
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Asadi Samani Z, Rahnama N, Reisi J, Lenjan Nejadian S. Correlation between new activity-based balance index with accelerometer data and postural balance in elderly woman. koomesh. 2020; 22 (1) :92-98
URL: http://koomeshjournal.semums.ac.ir/article-1-5562-fa.html

اسدی سامانی زهرا، رهنما نادر، رئیسی جلیل، لنجان نژادیان شهرام. همبستگی بین شاخص جدید تعادل حین فعالیت با استفاده از شتاب‌سنج و تعادل وضعیتی در زنان سالمند. كومش. 1398; 22 (1) :92-98

URL: http://koomeshjournal.semums.ac.ir/article-1-5562-fa.html



جلد 22، شماره 1 - ( زمستان 1398: 1-201 1398 ) برگشت به فهرست نسخه ها
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