Evidence map›Paper›PMID 29531284›Full record

Trial reportScientific reports2018

Natural turn measures predict recurrent falls in community-dwelling older adults: a longitudinal cohort study.

Julia M Leach, Sabato Mellone, Pierpaolo Palumbo, Stefania Bandinelli, Lorenzo Chiari

Abstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

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  4. Turning as a single and dual task-associations with Alzheimer's and vascular pathologies in cognitively healthy older people.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Julia M LeachPersonal Health Systems Laboratory, Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, Viale Risorgimento, 2, 40136, Bologna, Italy. juliamarshall.leach@unibo.it.
Sabato MellonePersonal Health Systems Laboratory, Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, Viale Risorgimento, 2, 40136, Bologna, Italy.ORCID 0000-0001-7688-0188
Pierpaolo PalumboPersonal Health Systems Laboratory, Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, Viale Risorgimento, 2, 40136, Bologna, Italy.ORCID 0000-0002-4438-1787
Stefania BandinelliAzienda Sanitaria Toscana Centro, Firenze, Piero Palagi Hospital, Viale Michelangelo 41, 50125, Firenze, Italy.
Lorenzo ChiariPersonal Health Systems Laboratory, Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, Viale Risorgimento, 2, 40136, Bologna, Italy.

Funding

HISPANIC SECONDARY STROKE PREVENTION INITIATIVER01MD009164 · NIMHD · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN · 2014 to 2018
$1.9M
NIMHD NIH HHS R01 MD009164
6 · The paper itself

Abstract

Although turning has been reported as one of the leading activities performed during a fall, and falls during turning result in 8-times more hip fractures than falls during linear gait, the quantity and quality of turns resulting in falls remain unknown since turns are rarely assessed during activities of daily living. 160 community-dwelling older adults were monitored for one week using smartphone technology. Turn measures and activity rates were quantified. Fall incidence within 12 months from continuous monitoring defined fall status, with 7/153 prospective fallers/non-fallers. Based on the analysis of 718,582 turns, prospective fallers turned less frequently, took longer to turn, and were less consistent in turn angle (p = 0.007, 0.025, and 0.038, respectively). Prospective fallers also walked slower and spent less time walking and turning and more time engaged in sedentary behavior (p = 0.043, 0.012, and 0.015, respectively). Individuals experiencing decline in the control of gait and/or turning may attempt to reduce their risk of falling by limiting their exposure and implementing cautionary movement strategies while turning. Since there was no difference in the overall active rate between prospective fallers and non-fallers, impaired gait and turning ability, specifically, may attribute to elevated fall risk within this cohort.

Indexed as

Accidental FallsAgedAged, 80 and overFemaleGaitGait AnalysisHumansIndependent LivingLongitudinal StudiesMalePostural BalanceWalking

Identifiers

PMID29531284
PMCPMC5847590

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.