ArticleActa orthopaedica2020
Time trends in pediatric fractures in a Swedish city from 1950 to 2016.
Article in Acta orthopaedica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 21 citations in OpenAlex.
- Fracture Incidence With 6-9 Years of Daily School Physical Activity: Lower Relative Fracture Risk at the End of the Intervention But Not After.Scandinavian journal of medicine & science in sports · 2026Article
- National rates of pediatric extremity fractures over a 20-year timespan in Denmark: a population-based descriptive cohort study.Acta orthopaedica · 2026Article
- Article
- Girl predominance in trampoline-related forearm shaft fractures and their increasing incidence since 2000.BMC musculoskeletal disorders · 2023Article
- Artificial intelligence for radiological paediatric fracture assessment: a systematic review.Insights into imaging · 2022Article
- Epidemiology of proximal and diaphyseal humeral fractures in children: an observational study from the Swedish Fracture Register.BMC musculoskeletal disorders · 2022Observational
- Socioeconomic variables and fracture risk in children and adolescents: a population-based study from northern Sweden.BMJ open · 2021Observational
- Time trends in pediatric hand fracture incidence in Malmö, Sweden, 1950-2016.Journal of orthopaedic surgery and research · 2021Article
- Childhood Distal Forearm Fracture Incidence in Malmö, Sweden 1950 to 2016.Journal of wrist surgery · 2021Article
- Trends in hospital admissions for childhood fractures in England.BMJ paediatrics open · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and purpose - As previous studies indicate time trends in pediatric fracture incidence, we followed the incidence in a Swedish city between 1950 and 2016.Patients and methods - Malmö city, Sweden had 322,574 inhabitants in 2015. We used diagnosis registry, charts, and radiographs of the only city hospital to classify fractures in individuals < 16 years in 2014-2016, and compared these with data from 1950-2006. We used joinpoint regression to analyze time trends and present results as mean annual percentage changes (APC). Differences between periods are described as incident rate ratios (IRR). To describe uncertainty, 95% confidence intervals (CI) are used.Results - During 2014-2016 the pediatric fracture incidence was 1,786 per 10
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