Evidence map›Paper›PMID 32155194›Full record

ArticlePloS one2020

Gait speed and body mass index: Results from the AMI study.

Maturin Tabue-Teguo, Karine Perès, Nadine Simo, Mélanie Le Goff, Mario Ulises Perez Zepeda, Catherine Féart, Jean-François Dartigues, Hélène Amieva, Matteo Cesari

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

16 citing papers in PubMed, 40 citations in OpenAlex.

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  7. The relationship between sleep quality and gait in people with multiple sclerosis: A pilot study.Hong Kong physiotherapy journal : official publication of the Hong Kong Physiotherapy Association Limited = Wu li chih liao · 2024
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  11. Reference Values for 3-Meter Backward Walk Test among Apparently Healthy Adults.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2023
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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

9 authors at 4 institutions in 5 countries.

Maturin Tabue-TeguoCHU de Guadeloupe, Guadeloupe, France.ORCID 0000-0002-1211-5660
Karine PerèsINSERM 1219, Bordeaux Population Health Research Center, Université de Bordeaux, Bordeaux, France.
Nadine SimoCHU de Guadeloupe, Guadeloupe, France.
Mélanie Le GoffINSERM 1219, Bordeaux Population Health Research Center, Université de Bordeaux, Bordeaux, France.
Mario Ulises Perez ZepedaDepartamento de Investigacion de Epidemiologia y geriatria, Instituto Nacional de Geriatria, Mexico City, Mexico.
Catherine FéartINSERM 1219, Bordeaux Population Health Research Center, Université de Bordeaux, Bordeaux, France.
Jean-François DartiguesINSERM 1219, Bordeaux Population Health Research Center, Université de Bordeaux, Bordeaux, France.
Hélène AmievaINSERM 1219, Bordeaux Population Health Research Center, Université de Bordeaux, Bordeaux, France.
Matteo CesariGeriatric Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milano, Italy.
Université de Bordeaux · FRInstitut Pasteur de la Guadeloupe · GPPontificia Universidad Javeriana · COUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile physical frailty and malnutrition/obesity (parameters easily measured by a nurse) are not the same, older persons who are malnourished/obese are more likely to be frail and there is a potential overlap between these conditions. The objective was to examine the relationship between gait speed (GS) and body mass index (BMI) in men and women aged 75 years and older.

designCross-sectional analysis. SETTING,

participantsData from the Aging Multidisciplinary Investigation (AMI), a French prospective cohort study with participants randomly selected from the farmer Health Insurance rolls. MEASUREMENTS: Usual GS was measured over a 4 meters-track. BMI was categorized using clinical cut-points for European populations: (e.g, <20.0 kg/m2; 20.0-24.9 kg/m2; 25.0-29.9 kg/m2; 30.0-34.9 kg/m2; ≥35.0 kg/m2).

resultsThe current analyses were performed in 449 participants. Mean age was 81 years. Being malnourished/obese was significantly associated with slow GS. Unadjusted and age-adjusted models showed that underweight, overweight and obesity statuses were significantly associated with slow GS for both women (0.83m/s [0.61; 1.04], 0.87m/s [0.72; 1.02], 0.70 m/s [0.41; 0.98], respectively) and men (0.83m/s [0.61; 1.04], 1.11m/s [1.03; 1.20], 0.97m/s [0.75; 1.19], respectively).

conclusionMalnourished/obese are associated with slow GS in older persons. These variables could be contributed at comprehensively and complementarily assessing the older person.

Indexed as

AgedAged, 80 and overAgingBody Mass IndexCross-Sectional StudiesFemaleFrailtyGeriatric AssessmentHumansMaleMalnutritionOverweightProspective StudiesRisk FactorsWalking Speed

Identifiers

PMID32155194
PMCPMC7064171
OpenAlexW3011514994

What OpenQuestion holds

Textmetadata
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.