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ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2025

Jumping mechanography reference data in Canadian children and adolescents aged 6 to 20 years.

Oliver Li, Leanne M Ward, Lauren E Griffith, Laura N Anderson, Andy Kin On Wong, Jonathan D Adachi, Jinhui Ma, Frank Rauch

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Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Oliver LiDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.ORCID http://orcid.org/0009-0003-7994-7212
Leanne M WardChildren's Hospital of Eastern Ontario, University of Ottawa, Ottawa, ON, Canada.
Lauren E GriffithDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Laura N AndersonDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Andy Kin On WongUniversity Health Network, Toronto, ON, Canada.
Jonathan D AdachiDepartment of Rheumatology, McMaster University, Hamilton, ON, Canada.
Jinhui MaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Frank RauchShriners Hospital for Children Canada, McGill University, 1003 Décarie, Montréal, Québec, H4A 0A9, Canada. frank.rauch@mcgill.ca.

Funding

CIHR MOP 137042
6 · The paper itself

Abstract

Jumping mechanography is a tool for dynamic assessment of muscle function. We present the largest available reference data set to date for jumping mechanography in children and adolescents. Jumping mechanography reference data serve as a crucial benchmark for evaluating muscle and bone health outcomes in children and adolescents.

backgroundWe aimed to develop age- and sex-specific reference data for jumping mechanography measures in Canadian children and adolescents.

methodsData from over 3000 children and adolescents (50.0% females) aged 6-20 years were obtained from the Canadian Health Measures Survey cycles 5 and 6 (2016-2019), a national, cross-sectional, population-based study. Muscle function was measured using the Leonardo Mechanograph Ground Reaction Force Plate through the single two-legged jump (S2LJ) and multiple two-legged hopping (M2LH) tests. Reference data were generated for maximum power, maximum power relative to body mass, maximum jump height, and maximum jump velocity from the S2LJ, and maximum force as well as maximum force relative to body weight from the M2LH.

resultsMale and female results were similar at age 6 years. However, males experienced greater increases in muscle function compared to females (e.g., the median result for maximum power in the S2LJ increased by 441% from age 6 to 16 years in males vs 297% in females). In males all outcome measures continued to increase to age 20 years, whereas in females absolute force and power plateaued after the age of 16 years. Body mass dependent outcome measures decreased slightly in females after 16 years of age, due to rising body mass.

conclusionThis study provides the largest jumping mechanography reference dataset to date, aimed at helping clinicians assess muscle function and evaluate musculoskeletal health in children and adolescents.

Indexed as

Muscle, SkeletalMuscle StrengthAdolescentAge FactorsBody WeightCanadaChildCross-Sectional StudiesExercise TestFemaleHumansMaleReference ValuesSex FactorsYoung AdultCanadian health measure surveyChildrenJumping mechanographyReference data

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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.