Development of a portable fall risk index for elderly people living in the community

Aim: To develop a portable risk index for falls. Methods: Risk factors were chosen from previously established factors then we added several environmental factors to the risk index; previous falls in the last 12 month, trippig or stumbling, inability to ascend or descend stairs without help, decreas...

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Published inNihon Rōnen Igakkai zasshi Vol. 42; no. 3; pp. 346 - 352
Main Authors Okochi, Jiro, Takahashi, Ryutaro, Takahashi, Tai, Yamada, Shizuru, Nishinaga, Masanori, Sasaki, Hidetada, Machida, Ayako, Toba, Kenji, Kobayash, Yoshio, Akishita, Masahiro, Matsubayashi, Kozo, Nishijima, Reiko
Format Journal Article
LanguageJapanese
Published Japan The Japan Geriatrics Society 2005
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Online AccessGet full text
ISSN0300-9173
DOI10.3143/geriatrics.42.346

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Abstract Aim: To develop a portable risk index for falls. Methods: Risk factors were chosen from previously established factors then we added several environmental factors to the risk index; previous falls in the last 12 month, trippig or stumbling, inability to ascend or descend stairs without help, decreased walking speed, inability to cross a road within the green signal interval, inability to walk 1km without a break, inability to stand on one leg for 5 seconds (eyes open), using a cane, inability to wring out a towel, dizziness or faintness, stooped or rounded back, knee joint pain, visual disturbance, hearing disturbance, cognitive decline, fear of falling, receiving 5 or more prescribed drugs, sensation of darkness at home, obstacles inside, barrier on the carpet or floor, using steps daily at home, steep slopes around home. Subjects: The questionnaire sheet was completed by 2, 439 community-dwelling elderly subjects (76.3±7.4 years old). The frequency of each items of fall risk index was compared between fallers (history of fall within one year) and non-fallers. Multiple regression analysis was performed to identify independent risk factors for previous falls. Results: Except barrier, step use and steep slope around home, all items in the fall risk index were more frequent in fallers. Multivariate analysis revealed that tripping or stumbling, inability to cross a road within the green signal interval, dizziness or faintness, obstacles inside, inability to wring out a towel, cane use and knee joint pain were independent risk factors for previous falls. These 7 selected items were further analyzed as predictors. The maximum sum of sensitivity and specificity was reached at the cut-off point of 2/3 (sensitivity 0.65, specificity 0.72) by receiver operating curve. Conclusion: Portable fall risk index is useful for clinical settings to identify high-risk subjects.
AbstractList Aim: To develop a portable risk index for falls. Methods: Risk factors were chosen from previously established factors then we added several environmental factors to the risk index; previous falls in the last 12 month, trippig or stumbling, inability to ascend or descend stairs without help, decreased walking speed, inability to cross a road within the green signal interval, inability to walk 1km without a break, inability to stand on one leg for 5 seconds (eyes open), using a cane, inability to wring out a towel, dizziness or faintness, stooped or rounded back, knee joint pain, visual disturbance, hearing disturbance, cognitive decline, fear of falling, receiving 5 or more prescribed drugs, sensation of darkness at home, obstacles inside, barrier on the carpet or floor, using steps daily at home, steep slopes around home. Subjects: The questionnaire sheet was completed by 2, 439 community-dwelling elderly subjects (76.3±7.4 years old). The frequency of each items of fall risk index was compared between fallers (history of fall within one year) and non-fallers. Multiple regression analysis was performed to identify independent risk factors for previous falls. Results: Except barrier, step use and steep slope around home, all items in the fall risk index were more frequent in fallers. Multivariate analysis revealed that tripping or stumbling, inability to cross a road within the green signal interval, dizziness or faintness, obstacles inside, inability to wring out a towel, cane use and knee joint pain were independent risk factors for previous falls. These 7 selected items were further analyzed as predictors. The maximum sum of sensitivity and specificity was reached at the cut-off point of 2/3 (sensitivity 0.65, specificity 0.72) by receiver operating curve. Conclusion: Portable fall risk index is useful for clinical settings to identify high-risk subjects.
To develop a portable risk index for falls.AIMTo develop a portable risk index for falls.Risk factors were chosen from previously established factors then we added several environmental factors to the risk index; previous falls in the last 12 month, trippig or stumbling, inability to ascend or descend stairs without help, decreased walking speed, inability to cross a road within the green signal interval, inability to walk 1km without a break, inability to stand on one leg for 5 seconds (eyes open), using a cane, inability to wring out a towel, dizziness or faintness, stooped or rounded back, knee joint pain, visual disturbance, hearing disturbance, cognitive decline, fear of falling, receiving 5 or more prescribed drugs, sensation of darkness at home, obstacles inside, barrier on the carpet or floor, using steps daily at home, steep slopes around home.METHODSRisk factors were chosen from previously established factors then we added several environmental factors to the risk index; previous falls in the last 12 month, trippig or stumbling, inability to ascend or descend stairs without help, decreased walking speed, inability to cross a road within the green signal interval, inability to walk 1km without a break, inability to stand on one leg for 5 seconds (eyes open), using a cane, inability to wring out a towel, dizziness or faintness, stooped or rounded back, knee joint pain, visual disturbance, hearing disturbance, cognitive decline, fear of falling, receiving 5 or more prescribed drugs, sensation of darkness at home, obstacles inside, barrier on the carpet or floor, using steps daily at home, steep slopes around home.The questionnaire sheet was completed by 2,439 community-dwelling elderly subjects (76.3 +/- 7.4 years old). The frequency of each items of fall risk index was compared between fallers (history of fall within one year) and non-fallers. Multiple regression analysis was performed to identify independent risk factors for previous falls.SUBJECTSThe questionnaire sheet was completed by 2,439 community-dwelling elderly subjects (76.3 +/- 7.4 years old). The frequency of each items of fall risk index was compared between fallers (history of fall within one year) and non-fallers. Multiple regression analysis was performed to identify independent risk factors for previous falls.Except barrier, step use and steep slope around home, all items in the fall risk index were more frequent in fallers. Multivariate analysis revealed that tripping or stumbling, inability to cross a road within the green signal interval, dizziness or faintness, obstacles inside, inability to wring out a towel, cane use and knee joint pain were independent risk factors for previous falls. These 7 selected items were further analyzed as predictors. The maximum sum of sensitivity and specificity was reached at the cut-off point of 2/3 (sensitivity 0.65, specificity 0.72) by receiver operating curve.RESULTSExcept barrier, step use and steep slope around home, all items in the fall risk index were more frequent in fallers. Multivariate analysis revealed that tripping or stumbling, inability to cross a road within the green signal interval, dizziness or faintness, obstacles inside, inability to wring out a towel, cane use and knee joint pain were independent risk factors for previous falls. These 7 selected items were further analyzed as predictors. The maximum sum of sensitivity and specificity was reached at the cut-off point of 2/3 (sensitivity 0.65, specificity 0.72) by receiver operating curve.Portable fall risk index is useful for clinical settings to identify high-risk subjects.CONCLUSIONPortable fall risk index is useful for clinical settings to identify high-risk subjects.
To develop a portable risk index for falls. Risk factors were chosen from previously established factors then we added several environmental factors to the risk index; previous falls in the last 12 month, trippig or stumbling, inability to ascend or descend stairs without help, decreased walking speed, inability to cross a road within the green signal interval, inability to walk 1km without a break, inability to stand on one leg for 5 seconds (eyes open), using a cane, inability to wring out a towel, dizziness or faintness, stooped or rounded back, knee joint pain, visual disturbance, hearing disturbance, cognitive decline, fear of falling, receiving 5 or more prescribed drugs, sensation of darkness at home, obstacles inside, barrier on the carpet or floor, using steps daily at home, steep slopes around home. The questionnaire sheet was completed by 2,439 community-dwelling elderly subjects (76.3 +/- 7.4 years old). The frequency of each items of fall risk index was compared between fallers (history of fall within one year) and non-fallers. Multiple regression analysis was performed to identify independent risk factors for previous falls. Except barrier, step use and steep slope around home, all items in the fall risk index were more frequent in fallers. Multivariate analysis revealed that tripping or stumbling, inability to cross a road within the green signal interval, dizziness or faintness, obstacles inside, inability to wring out a towel, cane use and knee joint pain were independent risk factors for previous falls. These 7 selected items were further analyzed as predictors. The maximum sum of sensitivity and specificity was reached at the cut-off point of 2/3 (sensitivity 0.65, specificity 0.72) by receiver operating curve. Portable fall risk index is useful for clinical settings to identify high-risk subjects.
Author Akishita, Masahiro
Toba, Kenji
Machida, Ayako
Matsubayashi, Kozo
Kobayash, Yoshio
Sasaki, Hidetada
Okochi, Jiro
Nishinaga, Masanori
Nishijima, Reiko
Yamada, Shizuru
Takahashi, Tai
Takahashi, Ryutaro
Author_xml – sequence: 1
  fullname: Okochi, Jiro
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  fullname: Takahashi, Ryutaro
  organization: Tokyo Metropolitan Institute of Gerontology
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  fullname: Takahashi, Tai
  organization: Department of Medicine and Welfare, International University of Medicine and Welfare
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  fullname: Yamada, Shizuru
  organization: Mahoroba-no-Sato, Geriatric Health Facility
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  fullname: Nishinaga, Masanori
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  organization: Department of Geriatric Medicine, Tohoku University
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  fullname: Machida, Ayako
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  fullname: Nishijima, Reiko
  organization: Department of Geriatric Medicine, Kyorin University School of Medicine
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7) Brians LK: The development of the RISK tool for fall prevention. Rehav Nurs 1991; 16: 67-69.
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3) Rubenstein LZ: Falls. In: Yoshikawa TT eds. Ambulatory Geriatric Care; 1993
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1) 鈴木隆雄: 転倒の疫学, 日老医誌 2002; 40: 85-94.
11) Campbell AJ, Borrie MJ, Spears GF: Risk factors for falls in a community-based prospective study of people 70 years and older. J Gerontol 1989; 44: M113-M117.
10) Davis JW, Ross PD, Nevitt MC, Wasnich RD: Risk factors for falls and for serious injuries on falling among older Japanese women in Hawaii. J Am Geriatr Soc 1999; 47: 792-798.
14) Stel VS, Pluijm SM, Deeg DJ, Smit JH, Bouter LM, Lips P: A classification tree for predicting recurrent falling in community-dwelling older persons. J Am Geriatr Soc 2003; 51 (10): 1356-1364.
12) Tromp AM, Pluijm SMF, Smit JH: Fall-risk screening test. A prospective study on predictors for falls in community-dwelling elderly. L Clin Epidemiol 2001; 54: 837-844.
References_xml – reference: 1) 鈴木隆雄: 転倒の疫学, 日老医誌 2002; 40: 85-94.
– reference: 7) Brians LK: The development of the RISK tool for fall prevention. Rehav Nurs 1991; 16: 67-69.
– reference: 14) Stel VS, Pluijm SM, Deeg DJ, Smit JH, Bouter LM, Lips P: A classification tree for predicting recurrent falling in community-dwelling older persons. J Am Geriatr Soc 2003; 51 (10): 1356-1364.
– reference: 4) Tinetti ME, Williams TF, Mayewski R: Fall risk index for elderly patients based on number of chronic disabilities. Am J Med 1986; 80 (3): 429-434.
– reference: 10) Davis JW, Ross PD, Nevitt MC, Wasnich RD: Risk factors for falls and for serious injuries on falling among older Japanese women in Hawaii. J Am Geriatr Soc 1999; 47: 792-798.
– reference: 8) Tinetti ME, Speechley M, Ginter SF: Risk factors for falls among elderly persons living in the community. N Engl J Med 1988; 319: 1701-1707.
– reference: 13) Moreland JD, Richardson JA, Goldsmith CH, Clase CM: Muscle weakness and falls in older adults: a systematic review and meta-analysis. J Am Geriatr Soc 2004; 52: 1121-1129.
– reference: 12) Tromp AM, Pluijm SMF, Smit JH: Fall-risk screening test. A prospective study on predictors for falls in community-dwelling elderly. L Clin Epidemiol 2001; 54: 837-844.
– reference: 9) O' Loughlin JL, Robitaille Y, Boivin JF: Incidence of and risk factors for falls and injurious falls among the community-dwelling elderly. Am J Epidemiol 1993; 137: 342-354.
– reference: 6) Morse JM, Morse RM, Tylko SJ: Development of a scale to identify the fall-prone patients. Canad J Aging 1989: 366-377.
– reference: 5) Nyberg L, Gustafson Y: Using the Downton index to predict those prone to falls in stroke rehabilitation. Stroke 1996; 27 (10): 1821-1824.
– reference: 2) 鳥羽研二ほか: 効果的医療技術の確立推進研究, 2003年度班研究報告書
– reference: 3) Rubenstein LZ: Falls. In: Yoshikawa TT eds. Ambulatory Geriatric Care; 1993
– reference: 11) Campbell AJ, Borrie MJ, Spears GF: Risk factors for falls in a community-based prospective study of people 70 years and older. J Gerontol 1989; 44: M113-M117.
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Snippet Aim: To develop a portable risk index for falls. Methods: Risk factors were chosen from previously established factors then we added several environmental...
To develop a portable risk index for falls. Risk factors were chosen from previously established factors then we added several environmental factors to the...
To develop a portable risk index for falls.AIMTo develop a portable risk index for falls.Risk factors were chosen from previously established factors then we...
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SubjectTerms Accidental Falls - prevention & control
Accidents, Home - prevention & control
Aged
Aged, 80 and over
Community-dwelling people
Environment
Fall index
Falls
Female
Frail Elderly
Geriatric Assessment
Health Status Indicators
Humans
Intrinsic factors
Male
Middle Aged
Risk Assessment
Social Environment
Title Development of a portable fall risk index for elderly people living in the community
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