Safe landing strategies during a fall: Systematic review and meta-analysis
Abstract
Objectives To systematically synthesize information on safe landing strategies for a fall, and quantitatively examine the effects of the strategies to reduce the risk of injury from a fall.Data sources PubMed, Web of Science, Cumulative Index to Nursing and Allied Health Literature, and Cochrane Library.Study selection Databases were searched using the combinations of keywords of "falls," "strategy," "impact," and "load." Randomized controlled trials, cohort studies, pre-post studies, and cross-sectional studies were included.Data extraction Fall strategies were extracted and categorized by falling direction. Measurements of impact loads that reflect the risk of injuries were extracted (eg, impact velocity, impact force, fall duration, impact angle). Hedges' g was used as effect size to quantify the effect of a protective landing strategy to reduce the impact load.Data synthesis A total of 7 landing strategies (squatting, elbow flexion, forward rotation, martial arts rolling, martial arts slapping, relaxed muscle, stepping) in 13 studies were examined. In general, all strategies, except for the martial arts slapping technique, significantly reduced impact load (g values=.73-2.70). Squatting was an efficient strategy to reduce impact in backward falling (g=1.77), while elbow flexion with outstretched arms was effective in forward falling (g=.82). Also, in sideways falling strategies, martial arts rolling (g=2.70) and forward rotation (g=.82) were the most efficient strategies to reduce impact load.Conclusions The results showed that landing strategies have a significant effect on reducing impact load during a fall and might be effective to reduce the impact load of falling. The current study also highlighted limitations of the previous studies that focused on a young population and self-initiated falls. Further investigation with elderly individuals and unexpected falls is necessary to verify the effectiveness and suitability of the strategies for at-risk populations in real-life falls.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
By automatizing protective responses such as neck flexion and arm positioning, children become active agents in mitigating their own injury risk.
“By automatizing protective responses—such as neck flexion (tucking the chin) and arm positioning—children become active agents in mitigating their own injury risk [4].”
From Safe Fall: Use of Predictive Modeling and Machine Vision Techniques for Fall Analysis and Fall Quality (2026) · cites this paper as [4]
A controlled, safe fall was characterised by a gradual deceleration curve, whereas a hazardous fall exhibited a sharp spike in vmax at ground contact.
“A controlled, safe fall was characterised by a gradual deceleration curve, whereas a hazardous fall exhibited a sharp spike in vmax at ground contact [4].”
From Safe Fall: Use of Predictive Modeling and Machine Vision Techniques for Fall Analysis and Fall Quality (2026) · cites this paper as [4]
Trained children do not necessarily move less or slower at peak moments, but they organise their kinetic chain differently to protect vital areas.
“In other words, trained children do not necessarily move “less” or “slower” at peak moments, but they organise their kinetic chain differently to protect vital areas [4].”
From Safe Fall: Use of Predictive Modeling and Machine Vision Techniques for Fall Analysis and Fall Quality (2026) · cites this paper as [4]
The Cluster 3 kinematic signature mirrors the stiffening or freezing strategy often reported in geriatric falls associated with the fear of falling.
“This kinematic signature mirrors the “stiffening” or “freezing” strategy often reported in geriatric falls associated with the fear of falling [4].”
From Safe Fall: Use of Predictive Modeling and Machine Vision Techniques for Fall Analysis and Fall Quality (2026) · cites this paper as [4]
Trained children commit to the protective technique decisively-typically by executing a rapid squat to lower the Center of Mass (CoM) before rolling-rather than hesitating or braking late with stiff limbs.
“This demonstrates that trained children commit to the protective technique decisively—typically by executing a rapid squat to lower the Center of Mass (CoM) before rolling—rather than hesitating or braking late with stiff limbs, a hazardous behaviour observed in the pre-test group associated with wrist fractures (FOOSH) [4].”
From Safe Fall: Use of Predictive Modeling and Machine Vision Techniques for Fall Analysis and Fall Quality (2026) · cites this paper as [4]
Trained children exhibit superior neuromuscular control during the retropulsion phase, regulating their descent rather than succumbing passively to gravity.
“Biomechanically, this suggests that trained children exhibit superior neuromuscular control during the retropulsion phase, regulating their descent rather than succumbing passively to gravity [4].”
From Safe Fall: Use of Predictive Modeling and Machine Vision Techniques for Fall Analysis and Fall Quality (2026) · cites this paper as [4]
High variability in the vertical axis (Y) suggests active modulation of height during the squat-to-roll transition.
“High variability in the vertical axis (Y) suggests active modulation of height during the squat-to-roll transition [4].”
From Safe Fall: Use of Predictive Modeling and Machine Vision Techniques for Fall Analysis and Fall Quality (2026) · cites this paper as [4]
Peak physical bursts were largely governed by the laws of physics (gravity acting on the falling body) and individual anthropometry, which remained constant.
“This suggests that while the intervention improved the average control of the descent (smoother movement), the peak physical bursts were largely governed by the laws of physics (gravity acting on the falling body) and individual anthropometry, which remained constant [4].”
From Safe Fall: Use of Predictive Modeling and Machine Vision Techniques for Fall Analysis and Fall Quality (2026) · cites this paper as [4]
The citation lists haven’t been fetched yet
References 32 · Cited by 79
- Authors
- Moon, Y., & Sosnoff, J. J.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Moon, Yaejin
- Venue
- Archives of Physical Medicine and Rehabilitation
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 98
- Issue
- 4
- Pages
- 783-794
- ISSN
- 0003-9993 (ISSN-L)
- OpenAlex
- W2515384637
- Cited by
- 79
- References
- 32
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 11 · 2023: 6 · 2022: 11 · 2021: 13 · 2020: 7 · 2019: 10 · 2018: 3
- FWCI
- 0.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Physical Medicine and Rehabilitation (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports injuries and prevention
- Physical Sciences › Engineering › Biomedical Engineering › Sports Dynamics and Biomechanics
- Keywords
- impact loading, fall injury prevention, squatting, elbow flexion, fall direction, impact velocity, falls in older adults
- MeSH terms
- Accidental Falls, Biomechanical Phenomena, Humans, Wounds and Injuries, Martial Arts
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review