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IDENTIFICATION OF FALL RISK IN OLDER ADULTS LIVING IN A NURSING HOME USING THE MARBES BALANCE SYSTEM: A PILOT STUDY BASED ON ROC ANALYSIS

Yıl 2025, Cilt: 8 Sayı: 2, 123 - 137
https://doi.org/10.52538/iduhes.1740021

Öz

This pilot study aimed to assess the effectiveness of center of pressure (COP) sway distance, measured with the MarBES (Marmara Balance and Education System), in predicting fall risk among older adults living in a nursing home. A total of 72 participants were evaluated and classified into two groups based on the Timed Up and Go test, Berg Balance Scale, and gait speed: High Fall Risk Group (HFRG; n=36, with falls in the past 12 months) and Low Fall Risk Group (LFRG; n=36, no falls or balance issues). COP sway measurements were performed using the MarBES under double-leg and single-leg stance conditions, with both eyes open and eyes closed. Sway distances in the mediolateral (X) and anteroposterior (Y) directions were analyzed using Receiver Operating Characteristic (ROC) analysis. The highest discriminative power was observed in the eyes-closed, left single-leg stance for COP Y sway distance (AUC=0.853, p<0.001). Overall, more challenging postural tasks yielded stronger discrimination between fallers and non-fallers, while simpler tasks showed lower AUC values (e.g., AUC = 0.663 in the double-leg, eyes-open stance). This pilot study suggests that COP sway distance may serve as an effective tool for identifying fall risk, particularly under challenging balance conditions. Measurements obtained with portable and cost-effective systems, such as the MarBES balance platform, may provide practical and objective data for the early identification of fall risk and the implementation of preventive strategies in long-term care environments, like nursing homes.

Kaynakça

  • Colon-Emeric CS, McDermott CL, Lee DS, Berry SD. Risk Assessment and prevention of falls in older community-dwelling adults: A Review. JAMA 2024; 331(16):1397-406. https://doi.org/10.1001/jama.2024.1416
  • World Health Organization. WHO global report on falls prevention in older age. Geneva: World Health Organization Department of Ageing and Life Course 2007. Report No.: 9241563532.
  • Montero-Odasso, M., van der Velde, N., Martin, F. C., Petrovic, M., Tan, M. P., Ryg, J., Aguilar-Navarro, S., Alexander, N. B., Becker, C., Blain, H., Bourke, R., Cameron, I. D., Camicioli, R., Clemson, L., Close, J., Delbaere, K., Duan, L., Duque, G., Dyer, S. M., Freiberger, E., Ganz, D. A., Gómez, F., Hausdorff, J. M., Hogan, D. B., Hunter, S. M. W., Jauregui, J. R., Kamkar, N., Kenny, R. A., Lamb, S. E., Latham, N. K., Lipsitz, L. A., Liu-Ambrose, T., Logan, P., Lord, S. R., Mallet, L., Marsh, D., Milisen, K., Moctezuma-Gallegos, R., Morris, M. E., Nieuwboer, A., Perracini, M. R., Pieruccini-Faria, F., Pighills, A., Said, C., Sejdic, E., Sherrington, C., Skelton, D. A., Dsouza, S., Speechley, M., Stark, S., Todd, C., Troen, B. R., van der Cammen, T., Verghese, J., Vlaeyen, E., Watt, J. A., Masud, T. World guidelines for falls prevention and management for older adults: a global initiative. Age Ageing 2022; 51(9). https://doi.org/10.1093/ageing/afac205
  • Wang J, Li Y, Yang GY, Jin K. Age-Related Dysfunction in Balance: A comprehensive review of causes, consequences, and interventions. Aging Dis 2024; 16(2):714-37. https://doi.org/10.14336/AD.2024.0124-1
  • Howcroft J, Kofman J, Lemaire ED. Review of fall risk assessment in geriatric populations using inertial sensors. J Neuroeng Rehabil 2013; 10(1):91. https://doi.org/10.1186/1743-0003-10-91
  • Xing, L., Bao, Y., Wang, B., Shi, M., Wei, Y., Huang, X., Dai, Y., Shi, H., Gai, X., Luo, Q., Yin, Y., Qin, D. Falls caused by balance disorders in the elderly with multiple systems involved: Pathogenic mechanisms and treatment strategies. Front Neurol 2023; 14:1128092. https://doi.org/10.3389/fneur.2023.1128092
  • Vo MTH, Thonglor R, Moncatar TJR, Han TDT, Tejativaddhana P, Nakamura K. Fear of falling and associated factors among older adults in Southeast Asia: a systematic review. Public Health 2023; 222:215-28. https://doi.org/10.1016/j.puhe.2022.08.012
  • Gil AW, Oliveira MR, Coelho VA, Carvalho CE, Teixeira DC, da Silva RA, Jr. Relationship between force platform and two functional tests for measuring balance in the elderly. Revista brasileira de fisioterapia (Sao Carlos (Sao Paulo, Brazil)) 2011; 15(6):429–35. https://doi.org/https://doi.org/10.1590/s1413-35552011005000024
  • Beck Jepsen, D., Robinson, K., Ogliari, G., Montero-Odasso, M., Kamkar, N., Ryg, J., Freiberger, E., Masud, T. Predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility. BMC Geriatr 2022; 22(1):615. https://doi.org/10.1186/s12877-022-03271-5
  • Mancini M, Horak FB. The relevance of clinical balance assessment tools to differentiate balance deficits. Eur J Phys Rehabil Med 2010; 46(2):239-48. https://www.ncbi.nlm.nih.gov/pubmed/20485226
  • Quijoux, F., Vienne-Jumeau, A., Bertin-Hugault, F., Zawieja, P., Lefevre, M., Vidal, P. P., Ricard, D. Center of pressure displacement characteristics differentiate fall risk in older people: A systematic review with meta-analysis. Ageing Res Rev 2020; 62:101117. https://doi.org/10.1016/j.arr.2020.101117
  • Prieto TE, Myklebust JB, Hoffmann RG, Lovett EG, Myklebust BM. Measures of postural steadiness: differences between healthy young and elderly adults. IEEE Trans Biomed Eng 1996; 43(9):956-66. https://doi.org/10.1109/10.532130
  • Karlinsky KT, Netz Y, Jacobs JM, Ayalon M, Yekutieli Z. Static balance digital endpoints with mon4t: smartphone sensors vs. force plate. Sensors (Basel) 2022; 22(11). https://doi.org/10.3390/s22114139
  • Johansson J, Nordstrom A, Gustafson Y, Westling G, Nordstrom P. Increased postural sway during quiet stance as a risk factor for prospective falls in community-dwelling elderly individuals. Age Ageing 2017; 46(6):964-70. https://doi.org/10.1371/journal.pone.0172398
  • Audiffren J, Bargiotas I, Vayatis N, Vidal PP, Ricard D. A Non Linear Scoring Approach for Evaluating Balance: Classification of Elderly as Fallers and Non-Fallers. PLoS One 2016; 11(12):e0167456. https://doi.org/10.1371/journal.pone.0167456
  • Pajala S, Era P, Koskenvuo M, Kaprio J, Tormakangas T, Rantanen T. Force platform balance measures as predictors of indoor and outdoor falls in community-dwelling women aged 63-76 years. J Gerontol A Biol Sci Med Sci 2008; 63(2):171-8. https://doi.org/10.1093/gerona/63.2.171
  • Piirtola M, Era P. Force platform measurements as predictors of falls among older people - a review. Gerontology 2006; 52(1):1-16. https://doi.org/10.1159/000089820
  • Bergland A, Jarnlo GB, Laake K. Predictors of falls in the elderly by location. Aging Clin Exp Res 2003; 15(1):43-50. https://doi.org/10.1007/BF03324479
  • Stel VS, Smit JH, Pluijm SM, Lips P. Balance and mobility performance as treatable risk factors for recurrent falling in older persons. J Clin Epidemiol 2003; 56(7):659-68. https://doi.org/10.1016/s0895-4356(03)00082-9
  • Maki BE, Holliday PJ, Topper AK. A prospective study of postural balance and risk of falling in an ambulatory and independent elderly population. J Gerontol 1994; 49(2):M72-84. https://doi.org/10.1093/geronj/49.2.m72
  • Johansson J, Jarocka E, Westling G, Nordstrom A, Nordstrom P. Predicting incident falls: Relationship between postural sway and limits of stability in older adults. Hum Mov Sci 2019; 66:117-23. https://doi.org/10.1093/ageing/afx083
  • Güngen C, Ertan T, Eker E, Yaşar R, Engin F. Reliability and validity of the standardized Mini Mental State Examination in the diagnosis of mild dementia in Turkish population. Turk Psikiyatri Derg 2002; 13(4):273-81.
  • Barry E, Galvin R, Keogh C, Horgan F, Fahey T. Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta-analysis. BMC Geriatr 2014; 14:14. https://doi.org/10.1186/1471-2318-14-14
  • Sahin F, Yilmaz F, Ozmaden A, Kotevolu N, Sahin T, Kuran B. Reliability and validity of the Turkish version of the Berg Balance Scale. J Geriatr Phys Ther 2008; 31(1):32-7. https://doi.org/10.1519/00139143-200831010-00006
  • Blum L, Korner-Bitensky N. Usefulness of the Berg Balance Scale in stroke rehabilitation: a systematic review. Phys Ther 2008; 88(5):559-66. https://doi.org/10.2522/ptj.20070205
  • Viveiro, L. A. P., Gomes, G. C. V., Bacha, J. M. R., Carvas Junior, N., Kallas, M. E., Reis, M., Jacob Filho, W., Pompeu, J. E. Reliability, validity, and ability to identity fall status of the berg balance scale, balance evaluation systems test (BESTest), Mini-BESTest, and Brief-BESTest in older adults who live in nursing homes. J Geriatr Phys Ther 2019; 42(4):E45-E54. https://doi.org/10.1519/JPT.0000000000000215
  • Binotto MA, Lenardt MH, Rodriguez-Martinez MDC. Physical frailty and gait speed in community elderly: a systematic review. Rev Esc Enferm USP 2018; 52:e03392. https://doi.org/10.1590/S1980-220X2017028703392
  • Kuru Colak T, Ozen T, Gunay Yazici C, Sari DM, Karabacak N, Sari Z, et al. A new device for assessment and training the human balance and coordination: Marmara Balance and Education System (MarBES). Ir J Med Sci. 2023; 192(5):2409-16. https://doi.org/10.1007/s11845-023-03299-5
  • Kılıç S. Klinik karar vermede ROC analizi. Journal of Mood Disorders 2013; 3(3):135-40. https://doi.org/10.5455/jmood.20130830051624
  • Watt AA, Clark C, Williams JM. Differences in sit-to-stand, standing sway and stairs between community-dwelling fallers and non-fallers: A review of the literature. Physical Therapy Reviews 2018; 23(1):273-90. https://doi.org/10.1080/10833196.2018.1431930
  • Liao WY, Chu YH, Liu FY, Chang KM, Chou LW. Cutoff point of mini-balance evaluation systems test scores for elderly estimated by center of pressure measurements by linear regression and decision tree classification. Life (Basel) 2022; 12(12). https://doi.org/10.3390/life12122133
  • Howcroft J, Lemaire ED, Kofman J, McIlroy WE. Elderly fall risk prediction using static posturography. PLoS One 2017; 12(2):e0172398. https://doi.org/10.1371/journal.pone.0172398

MARBES DENGE CİHAZI İLE HUZUREVİNDE YAŞAYAN YAŞLI BİREYLERDE DÜŞME RİSKİNİN BELİRLENMESİ: ROC ANALİZİNE DAYALI BİR PİLOT ÇALIŞMA

Yıl 2025, Cilt: 8 Sayı: 2, 123 - 137
https://doi.org/10.52538/iduhes.1740021

Öz

Bu pilot çalışmanın amacı, huzurevinde yaşayan yaşlı bireylerde MarBES (Marmara Balance and Education System) denge cihazı kullanılarak ölçülen merkez basınç (Center of Pressure, COP) salınım mesafesinin düşme riskini öngörmedeki etkinliğini değerlendirmek ve ROC analizi aracılığıyla bu parametrelerin duyarlılık, özgüllük ve ayırt edicilik düzeylerini incelemektir. Çalışmaya huzurevinde yaşayan toplam 72 yaşlı birey katıldı. Katılımcıların düşme risk düzeyleri; Zamanlı Kalk Yürü Testi (TUG), Berg Denge Ölçeği ve yürüyüş hızı değerlendirmeleri temel alınarak belirlenmiş ve bireyler, son 12 ay içinde düşme öyküsü olanlar Yüksek Riskli Düşme Grubu (YRDG; n=36), düşme öyküsü olmayan ve belirgin denge bozukluğu bulunmayanlar ise Düşük Riskli Düşme Grubu (DRDG; n=36) olarak sınıflandırıldı. COP salınımları MarBES denge cihazı ile çift ayak ve tek ayak duruş pozisyonlarında, gözler açık ve kapalı koşullar altında ölçüldü. COP X ve COP Y yönündeki salınım mesafeleri analiz edilerek ROC eğrileri üzerinden sınıflandırma başarıları değerlendirildi. En yüksek ayırt edicilik gücü, sol tek ayak duruş ve gözler kapalı koşulunda COP Y salınım mesafesi ile elde edildi (AUC = 0.853, p<0.001). Genel olarak, zorlu postüral koşullarda (örneğin gözler kapalı ve tek ayak duruş) COP parametrelerinin ayırt edicilik düzeyleri anlamlı şekilde artarken, daha basit duruş pozisyonlarında (örneğin gözler açık ve çift ayak duruş) bu değerlerin daha düşük olduğu bulundu (AUC = 0.663). Bu pilot çalışma, COP salınım mesafesinin özellikle zorlu denge koşullarında düşme riskini ayırt etmede etkili olabileceğini göstermektedir. MarBES denge cihazı gibi taşınabilir ve düşük maliyetli sistemlerle yapılan bu tür ölçümler, huzurevi gibi uzun süreli bakım ortamlarında düşme riskine yönelik erken tanı ve müdahale stratejilerinde önemli katkı sağlayabilir.

Etik Beyan

Çalışma, Marmara Üniversitesi Tıp Fakültesi Etik Kurulu tarafından onaylandı (Onay Numarası: 09.2023.797) ve Helsinki Prensipleri Deklarasyonu’na uygun olarak yürütüldü.

Destekleyen Kurum

Çalışmayı maddi yönden destekleyen herhangi bir kişi/kuruluş yoktur.

Kaynakça

  • Colon-Emeric CS, McDermott CL, Lee DS, Berry SD. Risk Assessment and prevention of falls in older community-dwelling adults: A Review. JAMA 2024; 331(16):1397-406. https://doi.org/10.1001/jama.2024.1416
  • World Health Organization. WHO global report on falls prevention in older age. Geneva: World Health Organization Department of Ageing and Life Course 2007. Report No.: 9241563532.
  • Montero-Odasso, M., van der Velde, N., Martin, F. C., Petrovic, M., Tan, M. P., Ryg, J., Aguilar-Navarro, S., Alexander, N. B., Becker, C., Blain, H., Bourke, R., Cameron, I. D., Camicioli, R., Clemson, L., Close, J., Delbaere, K., Duan, L., Duque, G., Dyer, S. M., Freiberger, E., Ganz, D. A., Gómez, F., Hausdorff, J. M., Hogan, D. B., Hunter, S. M. W., Jauregui, J. R., Kamkar, N., Kenny, R. A., Lamb, S. E., Latham, N. K., Lipsitz, L. A., Liu-Ambrose, T., Logan, P., Lord, S. R., Mallet, L., Marsh, D., Milisen, K., Moctezuma-Gallegos, R., Morris, M. E., Nieuwboer, A., Perracini, M. R., Pieruccini-Faria, F., Pighills, A., Said, C., Sejdic, E., Sherrington, C., Skelton, D. A., Dsouza, S., Speechley, M., Stark, S., Todd, C., Troen, B. R., van der Cammen, T., Verghese, J., Vlaeyen, E., Watt, J. A., Masud, T. World guidelines for falls prevention and management for older adults: a global initiative. Age Ageing 2022; 51(9). https://doi.org/10.1093/ageing/afac205
  • Wang J, Li Y, Yang GY, Jin K. Age-Related Dysfunction in Balance: A comprehensive review of causes, consequences, and interventions. Aging Dis 2024; 16(2):714-37. https://doi.org/10.14336/AD.2024.0124-1
  • Howcroft J, Kofman J, Lemaire ED. Review of fall risk assessment in geriatric populations using inertial sensors. J Neuroeng Rehabil 2013; 10(1):91. https://doi.org/10.1186/1743-0003-10-91
  • Xing, L., Bao, Y., Wang, B., Shi, M., Wei, Y., Huang, X., Dai, Y., Shi, H., Gai, X., Luo, Q., Yin, Y., Qin, D. Falls caused by balance disorders in the elderly with multiple systems involved: Pathogenic mechanisms and treatment strategies. Front Neurol 2023; 14:1128092. https://doi.org/10.3389/fneur.2023.1128092
  • Vo MTH, Thonglor R, Moncatar TJR, Han TDT, Tejativaddhana P, Nakamura K. Fear of falling and associated factors among older adults in Southeast Asia: a systematic review. Public Health 2023; 222:215-28. https://doi.org/10.1016/j.puhe.2022.08.012
  • Gil AW, Oliveira MR, Coelho VA, Carvalho CE, Teixeira DC, da Silva RA, Jr. Relationship between force platform and two functional tests for measuring balance in the elderly. Revista brasileira de fisioterapia (Sao Carlos (Sao Paulo, Brazil)) 2011; 15(6):429–35. https://doi.org/https://doi.org/10.1590/s1413-35552011005000024
  • Beck Jepsen, D., Robinson, K., Ogliari, G., Montero-Odasso, M., Kamkar, N., Ryg, J., Freiberger, E., Masud, T. Predicting falls in older adults: an umbrella review of instruments assessing gait, balance, and functional mobility. BMC Geriatr 2022; 22(1):615. https://doi.org/10.1186/s12877-022-03271-5
  • Mancini M, Horak FB. The relevance of clinical balance assessment tools to differentiate balance deficits. Eur J Phys Rehabil Med 2010; 46(2):239-48. https://www.ncbi.nlm.nih.gov/pubmed/20485226
  • Quijoux, F., Vienne-Jumeau, A., Bertin-Hugault, F., Zawieja, P., Lefevre, M., Vidal, P. P., Ricard, D. Center of pressure displacement characteristics differentiate fall risk in older people: A systematic review with meta-analysis. Ageing Res Rev 2020; 62:101117. https://doi.org/10.1016/j.arr.2020.101117
  • Prieto TE, Myklebust JB, Hoffmann RG, Lovett EG, Myklebust BM. Measures of postural steadiness: differences between healthy young and elderly adults. IEEE Trans Biomed Eng 1996; 43(9):956-66. https://doi.org/10.1109/10.532130
  • Karlinsky KT, Netz Y, Jacobs JM, Ayalon M, Yekutieli Z. Static balance digital endpoints with mon4t: smartphone sensors vs. force plate. Sensors (Basel) 2022; 22(11). https://doi.org/10.3390/s22114139
  • Johansson J, Nordstrom A, Gustafson Y, Westling G, Nordstrom P. Increased postural sway during quiet stance as a risk factor for prospective falls in community-dwelling elderly individuals. Age Ageing 2017; 46(6):964-70. https://doi.org/10.1371/journal.pone.0172398
  • Audiffren J, Bargiotas I, Vayatis N, Vidal PP, Ricard D. A Non Linear Scoring Approach for Evaluating Balance: Classification of Elderly as Fallers and Non-Fallers. PLoS One 2016; 11(12):e0167456. https://doi.org/10.1371/journal.pone.0167456
  • Pajala S, Era P, Koskenvuo M, Kaprio J, Tormakangas T, Rantanen T. Force platform balance measures as predictors of indoor and outdoor falls in community-dwelling women aged 63-76 years. J Gerontol A Biol Sci Med Sci 2008; 63(2):171-8. https://doi.org/10.1093/gerona/63.2.171
  • Piirtola M, Era P. Force platform measurements as predictors of falls among older people - a review. Gerontology 2006; 52(1):1-16. https://doi.org/10.1159/000089820
  • Bergland A, Jarnlo GB, Laake K. Predictors of falls in the elderly by location. Aging Clin Exp Res 2003; 15(1):43-50. https://doi.org/10.1007/BF03324479
  • Stel VS, Smit JH, Pluijm SM, Lips P. Balance and mobility performance as treatable risk factors for recurrent falling in older persons. J Clin Epidemiol 2003; 56(7):659-68. https://doi.org/10.1016/s0895-4356(03)00082-9
  • Maki BE, Holliday PJ, Topper AK. A prospective study of postural balance and risk of falling in an ambulatory and independent elderly population. J Gerontol 1994; 49(2):M72-84. https://doi.org/10.1093/geronj/49.2.m72
  • Johansson J, Jarocka E, Westling G, Nordstrom A, Nordstrom P. Predicting incident falls: Relationship between postural sway and limits of stability in older adults. Hum Mov Sci 2019; 66:117-23. https://doi.org/10.1093/ageing/afx083
  • Güngen C, Ertan T, Eker E, Yaşar R, Engin F. Reliability and validity of the standardized Mini Mental State Examination in the diagnosis of mild dementia in Turkish population. Turk Psikiyatri Derg 2002; 13(4):273-81.
  • Barry E, Galvin R, Keogh C, Horgan F, Fahey T. Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta-analysis. BMC Geriatr 2014; 14:14. https://doi.org/10.1186/1471-2318-14-14
  • Sahin F, Yilmaz F, Ozmaden A, Kotevolu N, Sahin T, Kuran B. Reliability and validity of the Turkish version of the Berg Balance Scale. J Geriatr Phys Ther 2008; 31(1):32-7. https://doi.org/10.1519/00139143-200831010-00006
  • Blum L, Korner-Bitensky N. Usefulness of the Berg Balance Scale in stroke rehabilitation: a systematic review. Phys Ther 2008; 88(5):559-66. https://doi.org/10.2522/ptj.20070205
  • Viveiro, L. A. P., Gomes, G. C. V., Bacha, J. M. R., Carvas Junior, N., Kallas, M. E., Reis, M., Jacob Filho, W., Pompeu, J. E. Reliability, validity, and ability to identity fall status of the berg balance scale, balance evaluation systems test (BESTest), Mini-BESTest, and Brief-BESTest in older adults who live in nursing homes. J Geriatr Phys Ther 2019; 42(4):E45-E54. https://doi.org/10.1519/JPT.0000000000000215
  • Binotto MA, Lenardt MH, Rodriguez-Martinez MDC. Physical frailty and gait speed in community elderly: a systematic review. Rev Esc Enferm USP 2018; 52:e03392. https://doi.org/10.1590/S1980-220X2017028703392
  • Kuru Colak T, Ozen T, Gunay Yazici C, Sari DM, Karabacak N, Sari Z, et al. A new device for assessment and training the human balance and coordination: Marmara Balance and Education System (MarBES). Ir J Med Sci. 2023; 192(5):2409-16. https://doi.org/10.1007/s11845-023-03299-5
  • Kılıç S. Klinik karar vermede ROC analizi. Journal of Mood Disorders 2013; 3(3):135-40. https://doi.org/10.5455/jmood.20130830051624
  • Watt AA, Clark C, Williams JM. Differences in sit-to-stand, standing sway and stairs between community-dwelling fallers and non-fallers: A review of the literature. Physical Therapy Reviews 2018; 23(1):273-90. https://doi.org/10.1080/10833196.2018.1431930
  • Liao WY, Chu YH, Liu FY, Chang KM, Chou LW. Cutoff point of mini-balance evaluation systems test scores for elderly estimated by center of pressure measurements by linear regression and decision tree classification. Life (Basel) 2022; 12(12). https://doi.org/10.3390/life12122133
  • Howcroft J, Lemaire ED, Kofman J, McIlroy WE. Elderly fall risk prediction using static posturography. PLoS One 2017; 12(2):e0172398. https://doi.org/10.1371/journal.pone.0172398
Toplam 32 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sağlık Hizmetleri ve Sistemleri (Diğer)
Bölüm Makaleler
Yazarlar

Canan Günay Yazici 0000-0002-4224-4375

Tuğba Kuru Çolak 0000-0002-3263-2278

Zubeyir Sarı 0000-0003-1643-5415

Erken Görünüm Tarihi 29 Eylül 2025
Yayımlanma Tarihi 5 Ekim 2025
Gönderilme Tarihi 11 Temmuz 2025
Kabul Tarihi 31 Temmuz 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 2

Kaynak Göster

APA Günay Yazici, C., Kuru Çolak, T., & Sarı, Z. (2025). MARBES DENGE CİHAZI İLE HUZUREVİNDE YAŞAYAN YAŞLI BİREYLERDE DÜŞME RİSKİNİN BELİRLENMESİ: ROC ANALİZİNE DAYALI BİR PİLOT ÇALIŞMA. Izmir Democracy University Health Sciences Journal, 8(2), 123-137. https://doi.org/10.52538/iduhes.1740021

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