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Falls in Mid-Life: A Scoping Literature Review
January 22, 2020 12:00 PM EST
Dr. Aleksandra Zecevic, Alison Stirling and Hélène Gagné
THIS WEBINAR IS BEING RECORDED.THE SLIDE DECK AND RECORDING WILL BE
EMAILED AFTER THE WEBINAR.
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EMAILED AFTER THE WEBINAR.
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January 22, 2020 12:00 PM EST
Dr. Aleksandra Zecevic, Alison Stirling and Hélène Gagné
Falls in Mid-Life: A Scoping Literature Review
Falls in Mid-LifeScoping Literature Review
Aleksandra Zecevic, Daniella Bozzo, Alison Stirling & Hélène Gagné
Why falls in mid life?
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• Question in Loop on falls in mid-life followed by a webinar
• Public health concern
• Lifespan approach but focus on both ends of spectrum
• Ontario Neurotrauma Foundation commissioned this
scoping review to examine current knowledge, identify gaps,
implication for practice and next steps
Are you working on fall prevention in midlife in your practice?
• Yes• No• Not applicable
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Poll Question
Are you anticipating that falls in midlife will be a focus of your work in the next year?
• Yes• No• Not applicable
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Poll Question
Background
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40-64 years of age
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Stage 1 Identify research question
Stage 2 Identify relevant sources
Stage 3 Select sources
Stage 4 Chart the data
Stage 5 Collate, summarize and report results
Stage 6 Consultation with stakeholders
Methods – Scoping Literature Review Levac et al. (2010)
Databases: Medline, CINAHL and EMBASE
Key words:
“fall*” MeSH with accidental fall
“middle-aged” OR “middle age” OR “middle-age”
“longitudinal” OR “cohort” studies
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(a) What is known about the characteristics of falls in mid-life?
(b) How falls in mid-life relate to falls later on in life?
Stage 1 Identify research question
Stage 2 Identify relevant sources
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INCLUSION CRITERIA2000-201940-64 years of ageEnglish languageLongitudinal studiesPrevalence rates, risk factors, falls descriptions Community dwelling
EXCLUSION CRITERIAWork related fallsSport related fallsCase studiesFalls assessment toolsFeasibility of toolsNo access to original article
Stage 3 Select sources
Stage 4 Chart the data
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Numerical analysis of
extent, nature and distribution of studies
Draw Conclusions
Ascertain Themes
YOU are invited!
Interpretation of findings Recommendations for next steps
Stage 5 Collate, summarize and report results
Stage 6 Consultation with stakeholders
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CINAHL, MEDLINE, EMBASE(n = 6,499)
Excluded duplicates(n = 1,363)
Added articles from hand searches(n = 12)
Added grey literature sources(n = 8)
Total included(n= 38)
Full text (n = 30)
Titles (n = 286)
Records after duplicates removed(n = 5,136)
Abstracts (n = 140)
Titles excluded on initial inclusion/exclusion criteria
(n = 4,850)
Full-text excluded: foreign language, no prevalence rates or
risk factors(n = 12)
Abstract excluded(n = 110)
Titles excluded if: assessments tools, tools feasibility,
no original(n = 146)
FindingsFlow Chart of Study Selection
Findings – Research studies
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Studies N=3027 longitudinal, 3 case control
Authors
28 groups of authors, 10 countries, 13 from USA
Niino et al., 2000; Talbot et al., 2005; Wilson et al., 2005; Li et al., 2006; Kerse et al., 2008; Wagner et al., 2009, Hong et
al., 2010; Kool et al., 2010a; Kool et al., 2010b; Mertz et al., 2010; Beynon et al., 2011; Williams et al., 2012; Hsieh et al.,
2012; Wu et al., 2012; Muraki et al., 2013; Stanmore et al., 2013; Mazumder et al., 2014; Pfortmueller et al., 2014; Caban-
Martinez et al., 2015; Lu et al., 2015; Saunders et al., 2015; Verma et al., 2016; Bhangu et al., 2017; Juraschek et al.,
2017; Timsina et al., 2017; Essien et al., 2018; Peeters et al., 2018; Shah et al., 2018; Axmon et al., 2019; Peeters et al.,
2019.
Year Range 2000-2019
# of Participants 101 - 414,044
Age Range 15-95 (our focus 40-64)
Gender
All studies included both genders22 studies had >50% women6 studies had >50% men2 studies did not report %
Findings – Research studies (cont.)
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Populations
19 general community dwelling population11 special populations:
2 studies diabetes, stroke, intellectual disability, spinal cord injury1 rheumatoid arthritis, multiple sclerosis, orthostatic hypotension
Data SourcesPopulation administrative databases (14)Medical records/hospital registries (6)Data collected by authors (10)
AnalysesDescriptive statistics (10)Logistic regression models (9)Both (11)
Prevalence reporting
falls/person-yearfalls/100 person-yearsfalls/1,000 persons-monthfalls /1,000 person-yearsfalls/100,000 populationfalls/100,000 person-yearfalls/1,000 population20 studies did not define, used %
THEME 1. Populations
General community dwelling
Special populations
• diabetes, stroke, intellectual disability, spinal cord injury rheumatoid arthritis, multiple sclerosis, orthostatic hypotension
General population
8.7% - 35.8%
11.4%-18% in 8 studies
21%-35.8% in 6 studies
Special populations
26% diabetes
32.3% intellectual disabilities
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THEME 2.Prevalence Rates
THEME 3. Fall-Related Injuries
1.1% General population
11.5% African American
25.6% Of fallers
15% (M) Fracture
10% (W) Fracture
42.5% Fracture
62.8% Outside
21.4% (M) Slipping
25.1% (W) Slipping
12.3% (M) Tripping
20.9% (W) Tripping
• Tripping, slipping, colliding, lost footing on staircase (83.3% )
• Vigorous activity (M) • Walking (W)• Sport• Intoxication• Work• Uneven surface (36.0% M, 56.2% W)
• Outdoors 69%, public places
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THEME 4.Causes of Falls
THEME 5. Risk Factors
• General Population
Extrinsic (most cited): ambulation, slipping, tripping, snow, ice, stairs, environment, no handrails, ladder use
Intrinsic/behavioural: sex, alcohol, smoking, cardiovascular disease, vertigo, obesity, dizziness, fair/poor self reported health, higher levels of physical activity (outdoor falls), <5 hrsof sleep.
• Special Populations
Intrinsic dominant: chronic conditions, medications, obesity, substance abuse, depression, mental impairment, vision, mobility, incontinence, ADLs difficulty, epilepsy, stroke
Diabetes: neuropathy, hypoglycemia
Stroke: medications, mobility impairments, functionally dependent
MS: standing, turning, stairs, fatigue, distraction
SCI: medications
Intellectual disability: female, seizures, arthritis, 4+ meds, walking aids
OH: postural change in DBP
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Findings - Grey Literature (N=8)
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Documents
6 CAN (focus on Ontario), 1 AUS & 1 NZ (dissertations)
Kool, B. 2009; Ontario Injury Prevention Resource Centre, 2009, 2015, 2016, 2018a,
2018b; Li, H. 2016; Grey Bruce Health Unit, 2017.
Year Range 2009-2018
Prevalence (examples)
ED visits2,353/100,000 ON (2012-14) for 45-642,072/100,000 ON (2014&15) for 45-542,553/100,000 ON ((2014&15) for 55-592,733/100,000 ON (2014&15) for 60-643,980/100,000 Grey Bruce (2012-14) for 45-64
Hospitalizations201/100,000 ON (2012-14) for 45-64118, 206, 296/100,000 ON (2014&15) for 45-54, 55-59 & 60-64319/100,000 Grey Bruce (2012-14) for 45-64
Risk Factors Risk taking behaviour, alcohol, drugs, medications, environment (snow, ice, uneven surfaces), chronic conditions, age, gender
Mechanisms of Falling
Slipping, tripping on the same level, stairs, steps, uneven surfaces, ladders
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Interventions
• Risk-taking behaviours (alcohol, drugs)
• Education for life-long physical activity; Safety education for sports & recreation and for outdoors
Example – safe ladder use campaign• Safety measures and environment modifications for hazards in daily
living. Prevention for outdoor falls (e.g., sidewalls, ramps, surfaces)
• Social support for rehabilitation after a fall
Recommendations Falls Prevention
General Population
• Develop interventions for middle-aged adults –attention to 55-64 yrs• More research on middle age falls, including physical activity and falls
• Start assessments and screen balance and gait at age 45
• Target activities of daily living
Recommendations Falls Prevention
Special Populations
• Prioritize prevention in stroke services (any age); for adults with rheumatoid arthritis (any age) for younger (<65) patients with diabetes
• Develop guidelines for adults with intellectual disability
• Examine orthostatic hypotension thresholds associated with fall risk
Findings - Interventions and Recommendations
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(a) What is known about the characteristics of falls in mid-life?
● There seems to be two populations of mid-life fallers● Causes are more extrinsic for general population and more
intrinsic for special populations ● Fall prevalence for middle-aged adults is similar to older adults but
causes and location of falls differ● Sharp increase in prevalence of falls in middle-age (women
especially)
(b) How falls in mid-life relate to falls later on in life?
● Chronic conditions start developing in the mid-life and may predispose middle-aged adults to increasing risks of falling in old age
Conclusions
Take Home Message
• Explore link between mid-life falls and chronic diseases
• Determine fall prevalence, specific causes and risk factors for falls in mid-life
• Establish consensus on definitions, units of measure and outcomes to make findings comparable
• Consider falls and injury prevention strategies for mid-life
Questions?
Let’s Talk!
Question 1:
What kind of additional information would you need to support your work for fall prevention in mid-life?
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Let’s Talk!
Question 2:
What opportunities for action such as training, practice, research or policy, do you foresee for prevention of falls in midlife?
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Let’s Talk!
Question 3:
How can we all address falls in mid-life in relation to falls in later life at a program and/or provincial level?
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Let’s Talk!
Question 4:
What collaborations and partnerships would be helpful to address falls in mid-life?
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Let’s Talk!
Question 5:
What are the next steps and priorities for action to address falls in mid-life?
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Thank you!
For more information about:
Literature review, contact Dr. Aleksandra Zecevic ([email protected])
Next steps, contact Hélène Gagné ([email protected])
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Questions?
Type your questions into the Q&A box.
THIS WEBINAR IS BEING RECORDED.THE SLIDE DECK AND RECORDING WILL BE
EMAILED AFTER THE WEBINAR.
STAY IN THE LOOP!WWW.FALLSLOOP.COM
WWW.JR.FALLSLOOP.COM