Evidence map›Paper›PMID 21034509›Full record

ArticleBMC public health2010

Pattern of fractures across pediatric age groups: analysis of individual and lifestyle factors.

Giuliana Valerio, Francesca Gallè, Caterina Mancusi, Valeria Di Onofrio, Marianna Colapietro, Pasquale Guida, Giorgio Liguori

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 4 pooled it
3.0field-weighted citation impact, top 9% 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

47 citing papers in PubMed, 4 syntheses or guidelines pooled it, 122 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Measurement of screen time among young children aged 0-6 years: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    Pooled it
  4. Risk factors for developing acute compartment syndrome in the pediatric population: a systematic review and meta-analysis.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2020
    Pooled it
  5. Article
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  7. Epidemiology and treatment of forearm fractures in Swedish children and adolescents.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Observational
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  19. Fracture Risk in Pediatric Patients With MEN2B.The Journal of clinical endocrinology and metabolism · 2022
    Article
  20. The initial analysis of pediatric fractures according to the AO/OTA fracture classification and mechanisms of injuries.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2022
    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

7 authors at 2 institutions in 1 country.

Giuliana ValerioSchool of Movement Sciences (DiSiST), Parthenope University, via Medina 40, 80133, Naples, Italy.
Francesca Gallè
Caterina Mancusi
Valeria Di Onofrio
Marianna Colapietro
Pasquale Guida
Giorgio Liguori
Parthenope University of Naples · ITSantobono Children's Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge of the epidemiology of children's fractures is essential to develop preventive strategies. The aim of this study was to analyze the individual/lifestyle determinants of fractures across pediatric age groups.

methodsA cross-sectional study was performed in the first six months of 2008 through questionnaire on a sample of children from an outpatient clinic for pediatric fractures. Differences in gender, anatomic site, circumstances and location of fracture occurrence, behavioural lifestyle, and calcium intake were investigated among three different age classes (pre-school children, school children, and adolescents).

resultsThe sample consisted of 382 subjects (2-14 years of age) sustaining a fracture after low or moderate trauma. Males were at a higher risk of fractures than females; greater than two-thirds of injuries occurred after low-energy trauma and the upper limb was more frequently involved. With increasing age, the male/female ratio and time spent in sports participation increased (p < 0.001), while calcium intake and time spent in sedentary behaviors decreased (p < 0.001 and < 0.003, respectively). Gender discordance existed in pre-school children with respect to the anatomic location, and in school children and adolescents with respect to the dynamics. In the adolescent group, males were more physically active and also more sedentary than females. Fractures most frequently occurred in homes (41.6%), followed by playgrounds and footpaths (26.2%), sports facilities (18.3%), and educational facilities (13.9%), with gender differences existing only in adolescence. Twenty-three percent of the subjects sustained one or more fractures in the past. The percentage of recurrent fractures increased with age (p = 0.001), with a similar trend in both genders.

conclusionsGender differences were shown in the prevalence of injuries, characteristics, and circumstances across ages. These differences may be explained by the related changes in behaviors, together with attending different places. Individual and lifestyle factors can in part explain the variability in the occurrence of fractures and can also address targeted preventive strategies.

Indexed as

IndividualityLife StyleAdolescentAmbulatory Care FacilitiesChildChild, PreschoolCross-Sectional StudiesFemaleFractures, BoneHumansItalyMale

Identifiers

PMID21034509
PMCPMC2987399
OpenAlexW1993303348

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.