Evidence map›Paper›PMID 24548517›Full record

ArticleJournal of translational medicine2014

The link between nutritional parameters and bone mineral density in women: results of a screening programme for osteoporosis.

Theodora Lamprinoudi, Elisa Mazza, Yvelise Ferro, Simona Brogneri, Daniela Foti, Elio Gulletta, Maurizio Iocco, Carmine Gazzaruso, Stefano Romeo, Arturo Pujia and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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  5. Observational
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

11 authors at 2 institutions in 2 countries.

Theodora Lamprinoudi
Elisa Mazza
Yvelise Ferro
Simona Brogneri
Daniela Foti
Elio Gulletta
Maurizio Iocco
Carmine Gazzaruso
Stefano Romeo
Arturo Pujia
Tiziana MontalciniClinical Nutrition Unit, Department of Medical and Surgical Science, University Magna Grecia, Catanzaro, Italy. tmontalcini@unicz.it.
Magna Graecia University · ITIRCCS Policlinico San Donato · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA positive association between handgrip strength and bone mineral density was demonstrated, but not all the investigations confirmed these results. We conducted a screening programme for osteoporosis in a large cohort of postmenopausal women to investigate the relationship between handgrip strength, other nutritional parameters and bone density.

methodsThis investigation involved 1,300 white volunteers. All participants underwent a bone mineral density evaluation at the heel and a handgrip strength measurement.

resultsThe mean T-score value was -1.15 ± 1; a total of 181 participants reported at least one osteoporotic fracture. In the univariate analysis, both handgrip strength and body mass index were associated with the T-score value. Adjustment for confounding factors confirmed this relationship showing, in the multivariate analysis, that the body mass index was positively correlated to the T-score (B = 0.034; p = 0.001) and, in the logistic regression analysis, that handgrip strength was associated with the presence of osteoporosis (P = 0.005).

conclusionBoth body mass index and handgrip strength were strongly correlated to bone mineral density, assessed with ultrasound, suggesting a possible key role as bone disease predictors.

Indexed as

Mass ScreeningNutritional Physiological PhenomenaBone DensityDemographyFemaleHumansLinear ModelsMiddle AgedMultivariate AnalysisOsteoporosis

Identifiers

PMID24548517
PMCPMC3930305
OpenAlexW2150119996

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.