Evidence map›Paper›PMID 34348790›Full record

ArticleInjury epidemiology2021

A web-based prospective cohort study of home, leisure, school and sports injuries in France: a descriptive analysis.

Madelyn Yiseth Rojas Castro, Ludivine Orriols, Dunia Basha Sakr, Benjamin Contrand, Marion Dupuy, Marina Travanca, Catherine Sztal-Kutas, Marta Avalos, Emmanuel Lagarde

Abstract read
In one paragraph

Article in Injury epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. COVID Vaccine Hesitancy and Risk of a Traffic Crash.The American journal of medicine · 2023
    Article
  2. Article
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.

Madelyn Yiseth Rojas Castro *University of Bordeaux, Bordeaux Population Health Research Center, UMR U1219, INSERM, Bordeaux, France.ORCID http://orcid.org/0000-0001-7006-7946
Ludivine Orriols *University of Bordeaux, Bordeaux Population Health Research Center, UMR U1219, INSERM, Bordeaux, France.
Dunia Basha SakrUniversity of Bordeaux, Bordeaux Population Health Research Center, UMR U1219, INSERM, Bordeaux, France.
Benjamin ContrandUniversity of Bordeaux, Bordeaux Population Health Research Center, UMR U1219, INSERM, Bordeaux, France.
Marion DupuyCalyxis, center of risk expertise, Niort, France.
Marina TravancaUniversity of Bordeaux, Bordeaux Population Health Research Center, UMR U1219, INSERM, Bordeaux, France.
Catherine Sztal-KutasCalyxis, center of risk expertise, Niort, France.
Marta AvalosUniversity of Bordeaux, Bordeaux Population Health Research Center, UMR U1219, INSERM, Bordeaux, France.ORCID https://orcid.org/0000-0002-5471-2615
Emmanuel LagardeUniversity of Bordeaux, Bordeaux Population Health Research Center, UMR U1219, INSERM, Bordeaux, France. emmanuel.lagarde@u-bordeaux.fr.ORCID http://orcid.org/0000-0001-8031-7400

Funding

Agence Nationale de Sécurité du Medicament conv 2014S029Decathlon AD 13339, AD 15404Institut de Recherche en Santé Publique CONV 067-00187IIInstitut National de la Santé et de la Recherche Médicale 2017-1R40301 Thèse 00013329PIA3 (Investment for the future) 17-EURE-0019Région Nouvelle Aquitaine conv 2014-1R30504 -00003101Université de Bordeaux conv 2014-1R30504 -00003101
6 · The paper itself

Abstract

backgroundHome and leisure injuries (HLIs) are a major public health problem. Cohort studies among general population are needed for targeted preventive actions but remain scarce. We quantify and qualify the HLIs collected prospectively in the MAVIE (Mutualists against Home and Leisure Injuries) observatory, a web-based cohort among volunteers of the French general population.

methodsParticipants reported HLIs from November 2014 to December 2019. We calculated crude and standardized incidence rates (SIRs) on the entire cohort, for each of the selected socio-demographic variables and each of the injury circumstances (place and activity), mechanisms, and injury severity levels. We also described other HLIs characteristics and consequences.

resultsOut of the 29,931 household members enrolled in the cohort, 12,419 participants completed the questionnaires. Among them, 8640 participants provided follow-up data, leading to a follow-up of 6302 persons for 5.2 years and 2483 HLIs were reported. We obtained a SIR of 85.0 HLIs per 1000 persons-years. Most reported injuries did not require emergency department attendance or hospitalization (64%). SIRs were higher in children (< 15 years of age) (109.1 HLIs per 1000 persons-years; 95% CI, 78.2-140.1) and adults aged 70 years and older (123.7 HLIs per 1000 persons-years; 95% CI, 79.2-168.3). Struck or hit by fall was the most frequent injury mechanism (52%) and also among the most severe injuries (73% of Struck or hit by fall HLIs ending with hospitalization). Sport (without contact with nature), and leisure and play activities were the injury circumstances with higher SIRs, 15.2 HLIs per 1000 persons-years (95% CI, 14.6-15.8) and 11.2 HLIs per 1000 persons-years (95% CI, 10.7-11.6), respectively. Outdoor sport activity (in contact with nature) was the circumstance with the highest proportion of hospitalizations (18% of outdoor sports HLIs ending with hospitalization).

conclusionThe incidences, causes, and consequences of HLI differ by age group and are mainly related to the performance of certain activities. Although the participants in the MAVIE cohort were not representative of the French population. Our study identified potential sub-populations and specific types of HLIs that should be targeted by future studies concerning risk factors and prevention programs.

Indexed as

FallsHome accidentProspective studiesSafetyWounds and injuries

Identifiers

PMID34348790
PMCPMC8336358

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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.