Evidence map›Paper›PMID 32825260›Full record

ArticleInternational journal of environmental research and public health2020

Interpopulation Similarity of Sex and Age-Related Body Composition Variations Among Older Adults.

Elisabetta Marini, Roberto Buffa, Luis Alberto Gobbo, Guillermo Salinas-Escudero, Silvia Stagi, Carmen García-Peña, Sergio Sánchez-García, María Fernanda Carrillo-Vega

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. 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
–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

5 citing papers in PubMed.

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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

8 authors.

Elisabetta MariniDepartment of Life and Environmental Science, Neuroscience and Anthropological Section, University of Cagliari, Cittadella Universitaria, Monserrato, 09042 Cagliari, Italy.ORCID 0000-0001-8779-8745
Roberto BuffaDepartment of Life and Environmental Science, Neuroscience and Anthropological Section, University of Cagliari, Cittadella Universitaria, Monserrato, 09042 Cagliari, Italy.
Luis Alberto GobboDepartment of Physical Education, School of Technology and Sciences, São Paulo State University (UNESP), Presidente Prudente, São Paulo 19060-900, Brazil.ORCID 0000-0003-4700-0000
Guillermo Salinas-EscuderoCenter for Economic and Social Studies in Health, Hospital Infantil de México Federico Gómez, Mexico City 06720, Mexico.ORCID 0000-0003-4573-4844
Silvia StagiDepartment of Life and Environmental Science, Neuroscience and Anthropological Section, University of Cagliari, Cittadella Universitaria, Monserrato, 09042 Cagliari, Italy.ORCID 0000-0002-6469-4334
Carmen García-PeñaResearch Department, Instituto Nacional de Geriatría, Mexico City 10200, Mexico.
Sergio Sánchez-GarcíaEpidemiology and Health Services Research Unit, Aging Area, IMSS, Mexico City 06720, Mexico.ORCID 0000-0001-5648-7223
María Fernanda Carrillo-VegaGeriatric Epidemiology Unit, Research Department, National Institute of Geriatrics, Instituto Nacional de Geriatría, Mexico City 10200, Mexico.ORCID 0000-0001-9449-7561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study was to analyze sex and age-related body composition variations among older adults from the Brazilian, Italian, and Mexican population. A cross-sectional analysis was conducted in 1103 community-dwelling older adults (634 women and 469 men), aged 60 to 89 years, living in Brazil (

Indexed as

Body CompositionAgedAged, 80 and overAge FactorsBody Mass IndexBrazilCross-Sectional StudiesElectric ImpedanceFemaleHumansItalyMaleMexicoMiddle Agedanthropometrybody compositionelderlyspecific BIVA

Identifiers

PMID32825260
PMCPMC7503589

What OpenQuestion holds

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Registered trials

None linked

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.