Evidence map›Paper›PMID 37039892›Full record

ArticleJournal of bone and mineral metabolism2023

Bone-specific physical activity questionnaire-derived skeletal loading score predicts bone geometry, density, and strength indices: a cross-sectional study.

Benjamin K Weeks, Amy T Harding, Steven L Watson, Conor Lambert, Rossana C Nogueira, Rebecca Hirsch, Timo Rantalainen, Jayde Collier, Belinda R Beck

Abstract read
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In one paragraph

Article in Journal of bone and mineral metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. The association between physical activity during growth and bone microarchitecture at peak bone mass.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
    Article
  3. Article
  4. 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

9 authors.

Benjamin K WeeksSchool of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Southport, Queensland, Australia. b.weeks@griffith.edu.au.ORCID http://orcid.org/0000-0001-7335-6911
Amy T HardingSchool of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Southport, Queensland, Australia.
Steven L WatsonSchool of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Southport, Queensland, Australia.
Conor LambertSchool of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Southport, Queensland, Australia.
Rossana C NogueiraSchool of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Southport, Queensland, Australia.
Rebecca HirschSchool of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Southport, Queensland, Australia.
Timo RantalainenGerontology Research Center, University of Jyväskylä, Jyväskylä, Finland.
Jayde CollierSchool of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Southport, Queensland, Australia.
Belinda R BeckSchool of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Southport, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe bone-specific physical activity questionnaire (BPAQ) provides a bone-relevant index of physical activity participation according to the mechanical loads experienced across the life span. MATERIALS AND

methodsWe aimed to examine relationships between historical bone-relevant physical activity and pQCT-derived parameters of bone strength. We recruited 532 healthy volunteers (277 males, 255 females) across a broad age range (4-97 years). Peripheral quantitative computed tomography (XCT-3000, Stratec, Germany) was used to examine volumetric bone density, area, and strength indices of the non-dominant tibia and radius. Exercise loading history from birth was determined using the past BPAQ (pBPAQ) score. Pearson correlation analysis was used to examine relationships between pBPAQ scores and pQCT parameters.

resultsIndependent of sex, pBPAQ scores were associated with total density at the 38% and 66% tibial sites and the 66% radial site (r = 0.145-0.261, p ˂ 0.05), total area at the 38% tibial site and 4% and 66% radial sites (r = 0.129-0.156, p ˂ 0.05), and strength indices at all measured sites (r = 0.123-0.234, p < 0.05).

conclusionWe conclude that, independent of sex, historical bone-relevant physical activity is associated with pQCT-derived indices of bone strength, indicating that pBPAQ captures the characteristics of bone loading history that are likely to be relevant adaptive stimuli. A larger sample is required to examine the influence of age on this relationship.

Indexed as

Bone and BonesBone DensityAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Sectional StudiesExerciseFemaleHumansMaleMiddle AgedRadiusSurveys and QuestionnairesBone geometryBone strengthExercisePhysical activity questionnairepQCT

Identifiers

PMID37039892

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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.