Evidence map›Paper›PMID 34652728›Full record

ArticleEuropean geriatric medicine2019

Association between quantitative bone ultrasound and self-reported physical activity in nursing homes residents.

Selma Cvijetic, Jelena Kovacic

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Article in European geriatric medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
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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

2 authors at 1 institution in 1 country.

Selma CvijeticOccupational Health and Environmental Medicine Unit, Institute for Medical Research and Occupational Health, Ksaverska Cesta 2, 10000, Zagreb, Croatia. cvijetic@imi.hr.ORCID http://orcid.org/0000-0002-8607-5999
Jelena KovacicOccupational Health and Environmental Medicine Unit, Institute for Medical Research and Occupational Health, Ksaverska Cesta 2, 10000, Zagreb, Croatia.
Institute for Medical Research and Occupational Health · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLow bone mineral density has been reported in institutionalized old people, but limited data are available on the association between bone density and physical activity (PA) and calcium intake in that population. We explored the predictors of bone density in old people living in nursing homes, focusing on PA and calcium intake.

methodsIn a cross-sectional study, we measured bone density with quantitative ultrasound (QUS) in 292 nursing homes residents (233 women and 59 men), mean age 82.4 ± 6.5 years. Information on lifestyle habits and calcium intake was obtained with questionnaires.

resultsAll QUS bone parameters were significantly higher in men than in women (p < 0.001). A T score for quantitative ultrasound index (QUI) of - 2.2 or lower was found in 8.5% of men and 51.9% of women. Participants of both genders with low PA had a significantly lower QUI, QUI-T score compared to those with good/very good PA. When controlling for age, gender, body mass index and calcium intake, participants with good PA had better QUI than those with low PA (β = 7.12 with 95% CI [2.51, 11.74]) The odds of QUI-T score < - 2.2 were lower (OR 0.49 with 95% CI [0.27, 0.90]) in participants with good PA compared to those with low PA.

conclusionsThe prevalence of osteoporosis measured by QUS was high in women but not in men. In our study sample, PA played a more important role than calcium intake in preserving bone density in old people.

Indexed as

Calcium intakeNursing homesOld peoplePhysical activityQuantitative ultrasound

Identifiers

PMID34652728
OpenAlexW2924473460

What OpenQuestion holds

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Registered trials

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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.