Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Apr 13;4(2):100195.
doi: 10.1016/j.arrct.2022.100195. eCollection 2022 Jun.

Risk Factors Associated With Falls and Fall-Related Injuries Among Wheelchair Users With Spinal Cord Injury

Affiliations

Risk Factors Associated With Falls and Fall-Related Injuries Among Wheelchair Users With Spinal Cord Injury

Libak Abou et al. Arch Rehabil Res Clin Transl. .

Abstract

Objective: To identify risk factors for falls and fall-related injuries for wheelchair users with spinal cord injury (SCI).

Design: Cross-sectional study.

Setting: Community setting.

Participants: Fifty-nine community dwelling wheelchair users (N=59), 47.5% male, median age of 52.5 years (IQR, 21 years) with chronic SCI, median time since injury of 16.6 years (IQR, 27.3 years).

Interventions: No intervention.

Main outcome measures: Outcomes were incidence of falls and fall-related injuries. Participants reported on falls and fall-related injuries experienced in the previous 6 months. Independent variables were self-reported and performance-based measures. Self-reported measures included demographics, characteristics of SCI, fear of falling, psychological measures, functional independence, wheelchair skills, environmental barriers, quality of life, and community participation. Performance-based measures included transfer quality and sitting balance assessments. Logistic regression analyses were conducted to identify factors influencing falls and fall-related injuries.

Results: In total, 152 falls and 30 fall-related injuries were reported from a total of 37 fallers. After logistic regression analysis, the model with the greatest levels of clinical utility and discriminative ability for falls (sensitivity 81%; specificity 55%; area under the receiving operating characteristic curve [AUC] statistics=0.73; 95% CI, 0.60-0.86) included the variables of shorter time since SCI, high mobility level, and having received education on fall prevention. The model for fall-related injuries (sensitivity 79%; specificity 75%; AUC statistics=0.77; 95% CI, 0.59-0.96) included the variables of older male individual, lower physical health score, and having received education on fall prevention.

Conclusions: The regression models presented may be used to identify wheelchair users with SCI at greater risk of falls and fall-related injuries. The findings may help to refer those in need to tailored fall and fall-related injury prevention programs. The findings presented in this study were based on a relatively small sample convenience; therefore, further prospective studies with a larger sample size are warranted.

Keywords: ADL, activities of daily living; AIS, American Spinal Injury Association Impairment Scale; AUC, area under the receiver operating characteristic curve; Accidental falls; FOF, fear of falling; OR, odds ratio; QOL, quality of life; Rehabilitation; Risk factors; SCI, spinal cord injury; SCIM III, Spinal Cord Independence Measure III; Spinal cord injuries; TAI, Transfer Assessment Instrument; WHOQOL-BREF, World Health Organization Quality of Life-Brief Version; WST, Wheelchair Skill Test; Wheelchairs.

PubMed Disclaimer

Figures

Fig 1
Fig 1
(A) Potential participants contacted the research group and manifested their interest in participating in the study. (B) Potential participants were screened over the phone for eligibility criteria by a researcher. (C) Eligible participants were provided with a link to complete demographics and surveys. (D) A researcher delivered assessment packages to study participants who completed the surveys through drop-off or mail. (E) Participants met with the researcher to perform remote sitting balance and transfer assessments.
Fig 2
Fig 2
ROC analysis of the final model for risk of falls, AUC=0.73 (95% CI, 0.60-0.86), P<.01. Abbreviation: ROC, receiver operating characteristic.
Fig 3
Fig 3
ROC analysis of the final model for fall-related injury, AUC=0.77 (95% CI, 0.59-0.96), P=.01. Abbreviation: ROC, receiver operating characteristic.

Similar articles

Cited by

References

    1. Khan A, Pujol C, Laylor M, et al. Falls after spinal cord injury: a systematic review and meta-analysis of incidence proportion and contributing factors. Spinal Cord. 2019;57:526–539. - PubMed
    1. Peterson EW, Cho CC, Finlayson ML. Fear of falling and associated activity curtailment among middle aged and older adults with multiple sclerosis. Mult Scler. 2007;13:1168–1175. - PubMed
    1. Sung J, Shen S, Peterson EW, et al. Fear of falling, community participation, and quality of life among community-dwelling people who use wheelchairs full time. Arch Phys Med Rehabil. 2021;102:1140–1146. - PubMed
    1. Abou L, Alluri A, Fliflet A, et al. Effectiveness of physical therapy interventions in reducing fear of falling among individuals with neurologic diseases: a systematic review and meta-analysis. Arch Phys Med Rehabil. 2021;102:132–154. - PubMed
    1. McKinley WO, Jackson AB, Cardenas DD, et al. Long-term medical complications after traumatic spinal cord injury: a regional model systems analysis. Arch Phys Med Rehabil. 1999;80:1402–1410. - PubMed

LinkOut - more resources