Evidence map›Paper›PMID 31273017›Full record

ArticleBMJ open2019

pQCT bone geometry and strength: population epidemiology and concordance in Australian children aged 11-12 years and their parents.

Jennifer Vlok, Peter J Simm, Kate Lycett, Susan A Clifford, Anneke C Grobler, Katherine Lange, Najmi Ismail, William Osborn, Melissa Wake

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Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jennifer VlokDepartment of Surgery, Royal Melbourne Hospital, Parkville, Victoria, Australia.
Peter J SimmMurdoch Children's Research Institute, Parkville, Victoria, Australia.
Kate LycettMurdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0002-8988-4038
Susan A CliffordMurdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0002-2678-9439
Anneke C GroblerMurdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0002-7809-7688
Katherine LangeMurdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0002-8175-6285
Najmi IsmailMurdoch Children's Research Institute, Parkville, Victoria, Australia.
William OsbornMurdoch Children's Research Institute, Parkville, Victoria, Australia.
Melissa WakeMurdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0001-7501-9257

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe the epidemiology and concordance of bone health in a population-based sample of Australian parent-child dyads at child age 11-12 years.

designPopulation-based cross-sectional study (the Child Health CheckPoint) nested between waves 6 and 7 of the Longitudinal Study of Australian Children (LSAC).

settingAssessment centres in seven cities around Australia, February 2015-March 2016.

participantsof all participating CheckPoint families (n=1874), bone data were available for 1222 dyads (1271 children, 50% girls; 1250 parents, 86% mothers). OUTCOME MEASURES: Peripheral quantitative CT (pQCT) of the non-dominant leg scanned at the 4% (distal) and 66% (mid-calf) tibial sites. Stratec XCT 2000 software generated estimates of bone density, geometry and polar stress-strain index.Parent-child concordance were assessed using Pearson's correlation coefficients and multivariable linear regression models. Percentiles were determined using survey weights. Survey weights and methods accounted for LSAC's complex sampling, stratification and clustering within postcodes.

resultsConcordances were greater for the geometric pQCT parameters (periosteal circumference 0.38, 95% CI 0.33 to 0.43; endosteal circumference 0.42, 95% CI 0.37 to 0.47; total cross-sectional area 0.37, 95% CI 0.32 to 0.42) than density (cortical density 0.25, 95% CI 0.19 to 0.30). Mother-child and father-child values were similar. Relationships attenuated only slightly on adjustment for age, sex and body mass index. Percentiles and concordance are presented for the whole sample and by sex.

conclusionsThere is strong parent-child concordance in bone geometry and, to a lesser extent, density even before the period of peak adolescent bone deposition. This geometrical concordance suggests that future intergenerational bone studies could consider using pQCT rather than the more commonly used dual X-ray absorptiometry (DXA).

Indexed as

Bone DensityParentsAdultAustraliaChildCross-Sectional StudiesFemaleHumansLinear ModelsLongitudinal StudiesMaleMiddle AgedMultivariate AnalysisTibiaTomography, X-Ray Computedbone healthchildren patternsepidemiologic studiesPeripheral Quantitative Computer Tomography (pqct)reference values

Identifiers

PMID31273017
PMCPMC6624036

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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.