Evidence mapPaperPMID 35132822Full record

ArticleJournal of cachexia, sarcopenia and muscle2022

Associations of device-measured sleep, sedentariness and physical activity with growth differentiation factor 15 in older adults.

Rosario Ortolá, Esther García-Esquinas, Antonio Buño-Soto, Verónica Cabanas-Sánchez, David Martínez-Gómez, Mercedes Sotos-Prieto, Ellen A Struijk, Francisco Félix Caballero, Esther Lopez-Garcia, José R Banegas and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. A multidomain trial for cognition in women with cardiovascular disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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

11 authors at 4 institutions in 2 countries.

Rosario OrtoláDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.ORCID 0000-0001-6952-9533
Esther García-EsquinasDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Antonio Buño-SotoCardiovascular and Nutritional Epidemiology Group, IdiPAZ (La Paz University Hospital-Universidad Autónoma de Madrid), Madrid, Spain.
Verónica Cabanas-SánchezIMDEA Food Institute. CEI UAM + CSIC, Madrid, Spain.
David Martínez-GómezDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Mercedes Sotos-PrietoDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Ellen A StruijkDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Francisco Félix CaballeroDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Esther Lopez-GarciaDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
José R BanegasDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Fernando Rodríguez-ArtalejoDepartment of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESMadrid Institute for Advanced Studies · ESHarvard University · USHospital La Paz Institute for Health Research · ES

Funding

Instituto de Salud Carlos III, State Secretary of R + D + I and FEDER/FSE 16/1512Instituto de Salud Carlos III, State Secretary of R + D + I and FEDER/FSE 16/609Instituto de Salud Carlos III, State Secretary of R + D + I and FEDER/FSE 18/287Instituto de Salud Carlos III, State Secretary of R + D + I and FEDER/FSE 19/319JPI-A Healthy Diet for a Healthy Life, State Secretary of R + D + I PCIN-2016-145Ministry of Science, Innovation and Universities RYC-2016-20546Ministry of Science, Innovation and Universities RYC-2018-025069-IREACT EU Program, Comunidad de Madrid and the European Regional Development Fund (ERDF), European Union: FACINGLCOVID-CM projectRoche Diagnostics International
6 · The paper itself

Abstract

backgroundGrowth differentiation factor 15 (GDF-15) is a biomarker for chronic disease burden that might explain the health effects of sedentary behaviours (SBs) and physical activity (PA). We examined associations of device-measured sleep, SB and PA, and time reallocations among them, with GDF-15 in older adults.

methodsWe used data from 2245 older adults participating in the Seniors-ENRICA-2 study. Wrist-worn accelerometers were employed to ascertain total time in sleep, SB, light PA (LPA) and moderate-to vigorous PA (MVPA). Associations between these activities and serum GDF-15 levels were analysed using linear regression, including isotemporal substitution models for time reallocations among activities, and adjusted for potential confounders. Analyses were conducted separately in two groups (less active and more active individuals) according to the median total PA time.

resultsIn the less active participants, 30 min/day more of MVPA were related to lower levels of GDF-15 when replacing sleep (fully adjusted mean percentage differences [95% confidence interval] in GDF-15 of -9.2% [-13.2, -5.0]), SB (-9.8% [-13.6, -5.8]) and LPA (-5.8% [-11.1, -0.3]), whereas 30 min/day more of LPA were related to lower GDF-15 when replacing both sleep (-3.6% [-6.1, -1.0]) and SB (-4.2% [-6.7, -1.7]). In the more active participants, 30 min/day more of MVPA were also associated with lower GDF-15 when replacing sleep (-2.9% [-5.3, -0.3]), SB (-2.4% [-4.6, -0.2]) and LPA (-3.5% [-6.6, -0.3]), but no associations were found for more time in LPA. Spending more time in SB was associated with higher GDF-15 levels only among those less active (1.9% [0.9, 2.9] per 30 min/day increment). Sleep time did not appear to be associated with GDF-15.

conclusionsThe MVPA was inversely associated with GDF-15, with stronger associations at lower PA volumes. Also, more LPA and less SB time were linked to lower GDF-15 in the less active individuals. This suggests that simply moving more and sitting less may reduce chronic disease burden in older adults.

Indexed as

ExerciseGrowth Differentiation Factor 15Sedentary BehaviorSleepAccelerometryAgedHumansGDF15 protein, humanGrowth Differentiation Factor 15GDF-15Isotemporal substitutionOlder adultsPhysical activitySedentary behaviours

Identifiers

PMID35132822
PMCPMC8977966
OpenAlexW4210915197

What Socratic holds

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LicenceCC BY
Read underepoch 390

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.