Literature DB >> 10098998

Differential risk factor profiles for indoor and outdoor falls in older people living at home in Nottingham, UK.

P A Bath1, K Morgan.   

Abstract

The objectives of this work were: to estimate the incidence of falls within an at-risk group of community-dwelling elderly people; to assess the risk factors associated with incident falls; to examine the effects of incident falls on survival. A random sample of 1042 community-dwelling older people in Nottingham (UK) were interviewed in 1985 and survivors re-interviewed at 4-year follow-up. The at-risk group was defined as survivors who had not fallen in the year prior to the baseline interview (n = 444). One-year fall recall was assessed using a questionnaire and included physical health, mobility, prescribed drugs and time spent walking. Body-weight and handgrip strength were measured. Eight-year post-fall mortality was recorded. In 1989 117 new fallers were identified. These people fell a total of 233 times in the year prior to re-interview (incidence rate: 524.8 per 1000 person-years at risk; 95% confidence intervals (CI): 473.3-576.3). People aged less than 75 were more likely to fall outdoors than people aged 75 and over (chi2 = 5.715, df = 1, p = 0.017). Risk factors associated with falling were: being less healthy (odds ratio (OR): 0.55; p = 0.052); having a walking speed in the range stroll/very slow/nonambulant compared with normal/brisk/fast (OR: 1.99; p<0.01); and number of prescribed drugs (OR: 1.30; p = 0.01). When analysed separately, indoor and outdoor falls presented differential risk profiles, with evidence that indoor falls were associated with frailty, while outdoor falls were associated with compromised health status in more active people. In 8-year post-fall monitoring, multiple (3+) fallers and indoor fallers showed a significant excess mortality. The differences in risk factors for, and prognoses following, indoor and outdoor falls, emphasise the complex interactions between intrinsic and extrinsic factors associated with falling among older people.

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Year:  1999        PMID: 10098998     DOI: 10.1023/a:1007531101765

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  33 in total

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Journal:  JAMA       Date:  1989-05-12       Impact factor: 56.272

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Authors:  M C Nevitt; S R Cummings; E S Hudes
Journal:  J Gerontol       Date:  1991-09
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  46 in total

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2.  Strength measures are better than muscle mass measures in predicting health-related outcomes in older people: time to abandon the term sarcopenia?

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3.  Reevaluating the implications of recurrent falls in older adults: location changes the inference.

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Authors:  Björn E Rosengren; Eva L Ribom; Jan-Åke Nilsson; Hans Mallmin; Osten Ljunggren; Claes Ohlsson; Dan Mellström; Mattias Lorentzon; Marcia Stefanick; Jodi Lapidus; Ping Chung Leung; Anthony Kwok; Elizabeth Barrett-Connor; Eric Orwoll; Magnus K Karlsson
Journal:  Age Ageing       Date:  2012-02-06       Impact factor: 10.668

5.  There is in elderly men a group difference between fallers and non-fallers in physical performance tests.

Authors:  Björn Rosengren; Eva L Ribom; Jan-Åke Nilsson; Osten Ljunggren; Claes Ohlsson; Dan Mellström; Mattias Lorentzon; Hans Mallmin; Marcia L Stefanick; Jodi Lapidus; Ping Chung Leung; Anthony Kwok; Elizabeth Barrett-Connor; Eric Orwoll; Magnus K Karlsson
Journal:  Age Ageing       Date:  2011-09-13       Impact factor: 10.668

6.  Influence of fall environment and fall direction on risk of injury among pre-frail and frail adults.

Authors:  S K Gratza; P O Chocano-Bedoya; E J Orav; M Fischbacher; G Freystätter; R Theiler; A Egli; R W Kressig; J A Kanis; H A Bischoff-Ferrari
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7.  Outdoor falls among middle-aged and older adults: a neglected public health problem.

Authors:  Wenjun Li; Theresa H M Keegan; Barbara Sternfeld; Stephen Sidney; Charles P Quesenberry; Jennifer L Kelsey
Journal:  Am J Public Health       Date:  2006-05-30       Impact factor: 9.308

Review 8.  Episodes of falling among elderly people: a systematic review and meta-analysis of social and demographic pre-disposing characteristics.

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9.  Older hip fracture patients: three groups with different needs.

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10.  Spatial analysis of falls in an urban community of Hong Kong.

Authors:  Poh C Lai; Chien T Low; Martin Wong; Wing C Wong; Ming H Chan
Journal:  Int J Health Geogr       Date:  2009-03-17       Impact factor: 3.918

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