Literature DB >> 14735299

Risk-taking, coordination and upper limb fractures in children: a population based case-control study.

Deqiong Ma1, Ruth Morley, Graeme Jones.   

Abstract

The aim of this population based case-control study was to examine the association between risk-taking behaviour, motor coordination and upper limb fractures in children aged 9-16 years. A total of 321 fracture cases and 321 randomly selected individually matched controls were studied. The number for different types of upper limb fractures was 91 for hand, 190 for wrist and forearm and 40 for upper arm. Risk-taking behaviour was determined by a 5-item interview-administered questionnaire. Motor coordination was assessed by the 8-point movement ABC that tests manual dexterity, ball skills as well as static and dynamic balance. Bone mass was assessed by dual energy X-ray absorptiometry (DXA) and metacarpal morphometry. In general, there was heterogeneity by fracture site with regard to associations. Risk-taking behaviour was associated with hand fracture risk but not other fracture sites for downhill cycling behaviour (OR: 2.0/category, 95% CI: 1.1-3.7), dare behaviour (OR: 3.3/category, 95% CI: 1.1-10.0) and total risk-taking score (OR: 2.6/category, 95% CI: 1.3-5.7). Conversely, coordination measures were associated with wrist and forearm fractures only: cutting/threading (OR: 1.2/unit, 95% CI: 1.0-1.4); flower trail (OR: 1.2/unit, 95% CI: 1.0-1.4) and dynamic balance score (OR: 1.1/unit, 95% CI: 1.0-1.2). Backward stepwise analysis selected total risk taking score for hand fracture, and dynamic balance score for wrist and forearm fracture. None of the risk-taking or coordination scores were associated with upper arm fractures. These associations were unchanged following adjustment for bone mass. In conclusion, the propensity to take risks is most strongly associated with hand fracture risk while dynamic balance is most strongly associated with wrist and forearm fracture risk in children. These results inform the development of fracture prevention strategies in children.

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Year:  2004        PMID: 14735299     DOI: 10.1007/s00198-003-1579-9

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  16 in total

1.  The association between bone mineral density, metacarpal morphometry, and upper limb fractures in children: a population-based case-control study.

Authors:  Deqiong Ma; Graeme Jones
Journal:  J Clin Endocrinol Metab       Date:  2003-04       Impact factor: 5.958

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Authors:  P E Fournier; R Rizzoli; D O Slosman; G Theintz; J P Bonjour
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4.  Lower extremity fractures: relationship to reaction time and coordination time.

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5.  Symptomatic fracture incidence in those under 50 years of age in southern Tasmania.

Authors:  G Jones; H M Cooley
Journal:  J Paediatr Child Health       Date:  2002-06       Impact factor: 1.954

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7.  The growth of children's moment of inertia.

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Authors:  T Nguyen; P Sambrook; P Kelly; G Jones; S Lord; J Freund; J Eisman
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9.  Epidemiology of fractures of the distal end of the radius in children as associated with growth.

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Journal:  J Bone Joint Surg Am       Date:  1989-09       Impact factor: 5.284

10.  The psychosocial characteristics of children with fractures.

Authors:  R T Loder; S Warschausky; E M Schwartz; R N Hensinger; M L Greenfield
Journal:  J Pediatr Orthop       Date:  1995 Jan-Feb       Impact factor: 2.324

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  14 in total

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Review 2.  Bone Disease in Patients with Ehlers-Danlos Syndromes.

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Journal:  Curr Osteoporos Rep       Date:  2020-04       Impact factor: 5.096

3.  Children who experience their first fracture at a young age have high rates of fracture.

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4.  Genetic influences on vitamin D status and forearm fracture risk in African American children.

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5.  Chronic non-cholestatic liver disease is not associated with an increased fracture rate in children.

Authors:  Jerzy Konstantynowicz; Dariusz M Lebensztejn; Elzbieta Skiba; Maria E Sobaniec-Lotowska; Pawel Abramowicz; Janina Piotrowska-Jastrzebska; Maciej Kaczmarski
Journal:  J Bone Miner Metab       Date:  2010-09-14       Impact factor: 2.626

Review 6.  Growth, children, and fractures.

Authors:  Graeme Jones
Journal:  Curr Osteoporos Rep       Date:  2004-09       Impact factor: 5.096

7.  Peripheral quantitative computed tomography (pQCT) reveals low bone mineral density in adolescents with motor difficulties.

Authors:  B Hands; P Chivers; F McIntyre; F C Bervenotti; T Blee; B Beeson; F Bettenay; A Siafarikas
Journal:  Osteoporos Int       Date:  2015-03-10       Impact factor: 4.507

8.  An association between socioeconomic, health and health behavioural indicators and fractures in young adult males.

Authors:  V M Mattila; V Jormanainen; T Sahi; H Pihlajamäki
Journal:  Osteoporos Int       Date:  2007-06-13       Impact factor: 4.507

9.  Differences in childhood adiposity influence upper limb fracture site.

Authors:  Rebecca J Moon; Adelynn Lim; Megan Farmer; Avinash Segaran; Nicholas M P Clarke; Elaine M Dennison; Nicholas C Harvey; Cyrus Cooper; Justin H Davies
Journal:  Bone       Date:  2015-05-29       Impact factor: 4.398

10.  Association between bone mass and fractures in children: a prospective cohort study.

Authors:  Emma M Clark; Andy R Ness; Nicholas J Bishop; Jon H Tobias
Journal:  J Bone Miner Res       Date:  2006-09       Impact factor: 6.741

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