Investigating Risk Factors for Falls Among Community-Dwelling Older Adults According to Who’s Risk Factor Model for Falls

2020 ◽  
Author(s):  
X. X. Qian ◽  
Pui Hing Chau ◽  
C. W. Kwan ◽  
V. W. Q. Lou ◽  
A. Y. M. Leung ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Risk Factor ◽  
Factor Model ◽  
Community Dwelling ◽  
Risk Factor Model ◽  
Risk Factors For Falls ◽  
Community Dwelling Older Adults

A Comprehensive Assessment of Risk Factors for Falls in Community-Dwelling Older Adults

2018 ◽  
Vol 44 (10) ◽  
pp. 40-48 ◽  
Author(s):  
Yunchuan (Lucy) Zhao ◽  
Jenny Alderden ◽  
Bonnie K. Lind ◽  
Heejung Kim
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Comprehensive Assessment ◽  
Community Dwelling ◽  
Risk Factors For Falls ◽  
Community Dwelling Older Adults

Risk factors for falls in homebound community‐dwelling older adults

2019 ◽  
Vol 36 (6) ◽  
pp. 772-778 ◽  
Author(s):  
Yunchuan (Lucy) Zhao ◽  
Jenny Alderden ◽  
Bonnie Lind ◽  
Jennifer Stibrany
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Community Dwelling ◽  
Risk Factors For Falls ◽  
Community Dwelling Older Adults

scholarly journals Incidence of and Risk Factors for Falls Following Hip Fracture in Community-dwelling Older Adults

2005 ◽  
Vol 85 (7) ◽  
pp. 648-655 ◽  
Author(s):  
Anne Shumway-Cook ◽  
Marcia A Ciol ◽  
William Gruber ◽  
Cynthia Robinson
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Hip Fracture ◽  
Functional Status ◽  
Functional Independence ◽  
Medical Problem ◽  
Community Dwelling ◽  
Self Report ◽  
Risk Factors For Falls ◽  
Community Dwelling Older Adults

Abstract Background and Purpose. Hip fracture is a major medical problem among older adults, leading to impaired balance and gait and loss of functional independence. The purpose of this study was to determine the incidence of and risk factors for falls 6 months following hospital discharge for a fall-related hip fracture in older adults. Subjects. Ninety of 100 community-dwelling older adults (≥65 years of age) hospitalized for a fall-related hip fracture provided data for this study. Methods. An observational cohort study used interviews and medical records to obtain information on demographics, prefracture health, falls, and functional status. Self-report of falls and performance-based measures of balance and mobility were completed 6 months after discharge. Results. A total of 53.3% of patients (48/90) reported 1 or more falls in the 6 months after hospitalization. Older adults who fell following discharge had greater declines in independence in activities of daily living and lower performance on balance and mobility measures. Prefracture fall history and use of a gait device predicted postdischarge falls. Discussion and Conclusion. Falls following hip fracture can be predicted by premorbid functional status.

Risk factors for falls in terms of attention during gait in community-dwelling older adults

2018 ◽  
Vol 18 (8) ◽  
pp. 1267-1271
Author(s):  
Tadatoshi Inoue ◽  
Kenji Kamijo ◽  
Kenzo Haraguchi ◽  
Akihiro Suzuki ◽  
Misako Noto ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Community Dwelling ◽  
Risk Factors For Falls ◽  
Community Dwelling Older Adults

scholarly journals Dynamic Performance-exposure Algorithm for Falling Risk Assessment and Fall Prevention in Community-dwelling Older Adults

2021 ◽  
Author(s):  
Catarina Pereira ◽  
Hugo Rosado ◽  
Gabriela Almeida ◽  
Jorge Bravo
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
High Risk ◽  
Fall Prevention ◽  
Dynamic Performance ◽  
Community Dwelling ◽  
Low Risk ◽  
Falling Risk ◽  
Risk Factors For Falls ◽  
Community Dwelling Older Adults

Abstract Background: Several models and algorithms were designed to identify older adults at risk of falling supported on an intrinsically and extrinsically traditional approach. However, the dynamic interaction between multiple risk factors for falls must be considered. The present study aimed to design a dynamic performance-exposure algorithm for falling risk assessment and fall prevention in community-dwelling older adults.Methods: The study involved 1) a cross-sectional survey assessing retrospective falls, performance-related risk factors for falls (sociodemographic such as gender and age, cognitive, health conditions, body composition, physical fitness, and dual-task outcomes), exposure risk factors (environmental hazards and (in)physical activity), and performance-exposure risk factors (affordance perception), and 2) follow-up survey assessing prospective falls. Participants were Portuguese community dwellings (≥ 65 years). Data were reported based upon descriptive statistics, curve estimation regression, binary logistic regression, and ROC curve.Results: The selected and ordered outcomes included in the algorithm and respective cutoffs were: (1) falls in previous year (high risk: n>1, moderated: n=1, low risk: n=0); (2) health conditions (high risk: n >3, moderated: n=3, low risk: n<3); (3) multidimensional balance (high risk: score <32 points, moderated risk: 32 points ≤ score ≤33 points, low risk: score>33); (4) lower body strength (high risk: rep/30s< 11, moderated risk: 11≤ rep/30s ≤14, low risk: rep/30s >4); (5) perceiving action boundaries (high risk: overestimation bias, moderated risk: not applied, low risk: underestimation bias); (6) fat body mass (high risk: % fat >38, moderated risk: 37≤ % fat ≤38, low risk: % fat <7); (7) environmental hazards (high risk: n>5, moderated risk: n=5, low risk: n<5); (8) rest period (high risk: hours/day >4.5, moderated risk: 4≤ hours/day ≤4.5, low risk: hours/day <4); (9) physical activity metabolic expenditure (high risk: MET-min/week <2300 or >5200, moderated risk: 2300≤ MET-min/week <2800, low risk: 2800≤ MET-min/week ≤5200).Conclusions: Results demonstrated a dynamic relationship between older adults’ performance capacity and the exposure to falls opportunity, supporting the build algorithm’s conceptual framework. Fall prevention measures should consider the above factors that most contribute to the individual risk of falling, relative weights, and their distance from low-risk value, as proposed in the dynamic algorithm.

scholarly journals Prevalence, Circumstances, and Risk Factors of Falls Among Community Dwelling Members of University of the Third Age

2021 ◽  
Vol 9 ◽  
Author(s):  
Asmidawati Ashari ◽  
Tengku Aizan Hamid ◽  
Mohd Rizal Hussain ◽  
Rahimah Ibrahim ◽  
Keith D. Hill
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Multiple Logistic Regression Analysis ◽  
Community Dwelling ◽  
Activity Level ◽  
Step Test ◽  
Cross Sectional ◽  
Falls Risk ◽  
Risk Factors For Falls ◽  
Community Dwelling Older Adults

Objective: Study aimed to identify the prevalence of falls and associated contributory factors among older Malaysians.Methods: A cross sectional study among community dwelling older adults aged 50 years and above. Self-administered questionnaires on history of falls in the previous 12 months, physical assessment and computerized and clinical measures of balance were assessed on a single occasion.Results: Forty nine (31.0%) participants fell, with 4.4% reported having multiple falls within the previous 12 months. Slips were the most prevalent cause of falls, accounting for 49% of falls. More than half (54.5%) of falls occurred in the afternoon while participants walked inside the home (32.7%), outside home (30.6%), and 36.7% were in community areas. More than half of respondents were identified as having turning instability. Step Test, turn sway, depression, physical activity level and edge contrast sensitivity were significantly worse for fallers (p &lt; 0.05). Multiple logistic regression analysis showed that turning performance, visual acuity and back pain were significantly associated with falls risk, accounting for 72% of the variance of risk factors for falls among studied population.Conclusion: Falls are common among community dwelling older Malaysians. The findings provide information of falls and falls risk factors among community dwelling older adults in Malaysia. Future intervention studies should target locally identified falls risk factors. This study has highlighted the importance of instability during turning as an important fall risk factor.

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