Variation in falling and fall risk among community-dwelling older - - PowerPoint PPT Presentation

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Variation in falling and fall risk among community-dwelling older - - PowerPoint PPT Presentation

Variation in falling and fall risk among community-dwelling older citizens in 12 European countries Carmen Franse Department of Public Health Erasmus MC Rotterdam, The Netherlands CONFLICT OF INTEREST DISCLOSURE I have no potential conflict of


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Variation in falling and fall risk among community-dwelling

  • lder citizens in 12 European countries

Carmen Franse Department of Public Health Erasmus MC Rotterdam, The Netherlands

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CONFLICT OF INTEREST DISCLOSURE

I have no potential conflict of interest to report

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Falls: an introduction

Burden health

  • 30% community-dwelling elderly >65y fall yearly
  • 90% hip fractures attributed to falls

Burden resources

  • In 2000, direct costs hip fractures Europe over €24 billion
  • In 2050, costs expected to double
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Falls: an introduction

  • No studies on international variation in falling and fall risk

– Important to inform policy – Prioritize right fall prevention programmes

  • Composition of fall-risk factors in populations could explain

variation – Socio-demographic – Intrinsic – Extrinsic

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Research questions

  • 1. Are there between-country differences in fall rate?
  • 2. Are there between-country differences in prevalence of socio-

demographic and intrinsic fall risk characteristics

  • 3. Do these differences account for possible differences in fall

rate?

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Methods

  • Data: Survey of Health, Ageing and Retirement in

Europe (SHARE), wave 4&5 (2010-2013)

  • Population: 18,596 community-dwelling men and women aged

≥ 65 years from 12 European countries

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Measurements

  • At baseline: Fall risk factors

– Socio-demographics (age, sex, education, living alone) – Mobility limitations, ADL, dizziness, depression, self- perceived health, vision, cognitive function

  • At 2-year follow-up: Falling

– Question: “For the past six months at least, have you been bothered by any of the health conditions on this card?”

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Results 1: Are there between-country differences in fall rate? 2 4 6 8 10 12 14 16 18 % within past 6 months

Falling by country

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Results 2: Are there between-country differences in terms of intrinsic fall characteristics?

10 20 30 40 50 60 70 80 Proportion, %

Intrinsic fall risk factors by country

Low health Mobility limitation(s) ADL limitation(s) Dizziness Impaired vision Depression Impaired cognition

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0,5 1 1,5 2 2,5 3

Falls by country, unadjusted (OR)

0,5 1 1,5 2 2,5 3

Falls by country, adjusted for socio-demographics (aOR)

Results 3: Do these differences account for possible differences in falls? 0,5 1 1,5 2 2,5 3

Falls by country, adjusted for intrinsic fall risk factors (aOR)

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Discussion/Conclusion

  • Fall incidence varies between European countries

– Higher in Belgium, France, Spain, Estonia, Czech Republic

  • Explained by:

– Differences main intrinsic fall risk factors – Not by socio-demographic composition

  • Other explanations: home hazards, risk behaviour
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Discussion/Conclusion

  • Limitations

– self-reported data – 25% persons lost to follow-up between baseline & follow-up

  • Strengths

– first cross-national comparative study falling – Nationally representative samples – Able to capture many intrinsic risk factors

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Thank you!

  • Co-authors and collaborators: Hein Raat, Judith

Rietjens, Ed van Beeck, Francesco Mattace Raseo, Lex Burdorf, Amy van Grieken, Agnes van der Heide, Ida Korfage

  • SHARE research team and participants
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Do you have any questions?

c.franse@erasmusmc.nl Franse CB, Rietjens JA, Burdorf A, et al. A prospective study on the variation in falling and fall risk among community-dwelling older citizens in 12 European countries BMJ Open 2017;7:e015827.