Evidence map›Paper›PMID 33402165›Full record

Trial reportBMC medicine2021

Targeting body composition in an older population: do changes in movement behaviours matter? Longitudinal analyses in the PREDIMED-Plus trial.

Aina M Galmes-Panades, Jadwiga Konieczna, Veronica Varela-Mato, Itziar Abete, Nancy Babio, Miquel Fiol, José Antonio de Paz, Rosa Casas, Romina Olbeyra, Miguel Ruiz-Canela and 11 more

Open access · goldAbstract readObservational StudyRandomized Controlled Trial
In one paragraph

Trial report in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

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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

21 authors at 6 institutions in 2 countries.

Aina M Galmes-PanadesConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Jadwiga KoniecznaConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. jadwiga.konieczna@ssib.es.
Veronica Varela-MatoSchool of Sport, Exercise and Health Science, Loughborough University, Loughborough, UK.
Itziar AbeteConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Nancy BabioConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Miquel FiolConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
José Antonio de PazInstituto de Biomedicina (IBIOMED), University of León, León, Spain.
Rosa CasasConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Romina OlbeyraInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Miguel Ruiz-CanelaConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Antoni Palau-GalindoUniversitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain.
Olga CastañerConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Arturo Martín-GarcíaResearch Group in Gene-Environment Interactions and Health, Instituto de Biomedicina (IBIOMED), University of León, León, Spain.
Ramón EstruchConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Josep VidalInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Pilar Buil-CosialesConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Julia WärnbergConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Jordi Salas-SalvadóConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
J Alfredo MartínezConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
Dora RomagueraConsorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
PREDIMED-Plus investigators
Instituto de Salud Carlos III · ESMadrid Institute for Advanced Studies · ESUniversidad de León · ESInstitut de Recerca Biomèdica Catalunya Sud · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESLoughborough University · GB

Funding

Consejería de Salud de la Junta de Andalucía (PI0458/2013; PS0358/2016; PI0137/2018)JR17/00022 contract (JR17/00022)Recercaixa (2013ACUP00194)The PREDIMED-Plus trial was supported by the official funding agency for biomedical research of the Spanish government, ISCIII through the Fondo de Investigación para la Salud(FIS), which is co-funded by the European Regional Development Fund (four coordin (PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926);)
6 · The paper itself

Abstract

backgroundThe optimal distribution between physical activity (PA) levels and sedentary behaviour (SB) for the greatest benefits for body composition among older adults with overweight/obesity and chronic health conditions remains unclear. We aimed to determine the prospective association between changes in PA and in SB with concurrent changes in body composition and to examine whether reallocating inactive time into different physical activity levels was associated with 12-month change to body composition in older adults.

methodsLongitudinal assessment nested in the PREDIMED-Plus trial. A subsample (n = 1564) of men and women (age 55-75 years) with overweight/obesity and metabolic syndrome from both arms of the PREDIMED-Plus trial was included in the present analysis. Participants were followed up at 6 and 12 months. Physical activity and SB were assessed using validated questionnaires. Out of 1564 participants, 388 wore an accelerometer to objectively measure inactive time and PA over a 7-day period. At each time point, participants' body composition was measured using dual-energy X-ray absorptiometry (DXA). Standard covariate-adjusted and isotemporal substitution modelling were applied to linear mixed-effects models.

resultsIncreasing 30 min of total PA and moderate-to-vigorous physical activity (MVPA) was associated with significant reductions in body fat (β - 0.07% and - 0.08%) and visceral adipose tissue (VAT) (- 13.9 g, and - 15.6 g) at 12 months (all p values < 0.001). Reallocating 30 min of inactive time to MVPA was associated with reductions in body fat and VAT and with an increase in muscle mass and muscle-to-fat mass ratio (all p values < 0.001).

conclusionsAt 12 months, increasing total PA and MVPA and reducing total SB and TV-viewing SB were associated with improved body composition in participants with overweight or obesity, and metabolic syndrome. This was also observed when substituting 30 min of inactive time with total PA, LPA and MVPA, with the greatest benefits observed with MVPA.

trial registrationInternational Standard Randomized Controlled Trial (ISRCTN), 89898870 . Retrospectively registered on 24 July 2014.

Indexed as

Body CompositionExerciseSedentary BehaviorAbsorptiometry, PhotonAdipose TissueAgedAgingFemaleHumansLongitudinal StudiesMaleMetabolic SyndromeMiddle AgedObesityOverweightProspective StudiesBody compositionIsotemporal substitutionPhysical activitySedentary behaviourVisceral adipose tissue

Identifiers

PMID33402165
PMCPMC7786490
OpenAlexW3120323797

What Socratic 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 Socratic graph.