Evidence map›Paper›PMID 35089428›Full record

ArticleArchives of osteoporosis2022

Self-reported physical functional health predicts future bone mineral density in EPIC-Norfolk cohort.

Sarah Perrott, Kathryn Martin, Victoria L Keevil, Nicholas J Wareham, Kay-Tee Khaw, Phyo Kyaw Myint

Open access · bronzeAbstract read
In one paragraph

Article in Archives of osteoporosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 40% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 1 country.

Sarah PerrottAgeing Clinical & Experimental Research (ACER) Team, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.ORCID https://orcid.org/0000-0003-1415-7271
Kathryn MartinInstitute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.ORCID https://orcid.org/0000-0003-1053-069X
Victoria L KeevilDepartment of Medicine, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0001-6148-0640
Nicholas J WarehamMRC Epidemiology Unit, Cambridge, UK.ORCID https://orcid.org/0000-0003-1422-2993
Kay-Tee KhawDepartment of Medicine, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0002-8802-2903
Phyo Kyaw MyintAgeing Clinical & Experimental Research (ACER) Team, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK. phyo.myint@abdn.ac.uk.ORCID http://orcid.org/0000-0003-3852-6158
University of Aberdeen · GBUniversity of Cambridge · GBMRC Epidemiology Unit · GB

Funding

British Heart FoundationCancer Research UK 14136Cancer Research UK C864/A14136Department of HealthMedical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_UU_00006/1Medical Research Council MC- UU_12015/1Medical Research Council MC_UU_12015/1Medical Research Council MR/N003284/1Wellcome Trust
6 · The paper itself

Abstract

Using a large population sample from the UK, we found that self-reported physical functional health may be used to predict future bone mineral density especially in women. It may be a useful and inexpensive way to identify individuals before further decline in bone mineral density and the risk of fracture. PURPOSE: Self-reported physical functional health may predict bone mineral density (BMD) and thus provide a method to identify people at risk of low BMD. In this study, the association between the 36-item short-form questionnaire (SF-36) physical component summary (PCS) score and future BMD in participants aged 40-79 years enrolled in the European Prospective Investigation of Cancer-Norfolk study was investigated.

methodsAssociations between a participant's SF-36 PCS score, measured 18 months after baseline health check, and broadband ultrasound attenuation (BUA-a measure of BMD), measured 2-5 years after baseline, were examined using sex-specific linear and logistic regression analyses adjusting for age, BMI, medical co-morbidities, lifestyle and socioeconomic factors.

resultsData from 10,203 participants, mean (standard deviation (SD)) age 61.5 (8.9) years (57.4% women), were analysed from 1993 to 2000. For every five points lower PCS score in men and women, there was approximately a 0.5 dB/MHz lower mean BUA. In women, a PCS score of less than one standard deviation (1SD) below the sex-specific mean was associated with having a low BUA (< 1SD below sex-specific mean) and very low BUA (< 2.5SD below the sex specific mean); odds ratio (OR) (95% confidence interval) 1.53 (1.24, 1.88) and 8.28 (2.67, 25.69), respectively. The relationship was lesser so in men; corresponding OR (95% CI) were 1.34 (0.91, 1.98) and 2.57 (0.72, 9.20), respectively.

conclusionsSelf-reported physical functioning predicts BMD in an apparently healthy population, particularly in women. This could potentially provide an inexpensive, simple screening tool to identify individuals at risk of osteoporosis.

Indexed as

Bone DensityCalcaneusAbsorptiometry, PhotonAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesSelf ReportUltrasonographyBone mineral densityOlder adultsPhysical functioningSF-36

Identifiers

PMID35089428
PMCPMC8796741
OpenAlexW3215270164

What OpenQuestion holds

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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.