Evidence map›Paper›PMID 31943000›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Accelerometer-Measured Sedentary and Physical Activity Time and Their Correlates in European Older Adults: The SITLESS Study.

Maria Giné-Garriga, Oriol Sansano-Nadal, Mark A Tully, Paolo Caserotti, Laura Coll-Planas, Dietrich Rothenbacher, Dhayana Dallmeier, Michael Denkinger, Jason J Wilson, Carme Martin-Borràs and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 4 pooled it
5.9field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 4 syntheses or guidelines pooled it, 87 citations in OpenAlex.

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  4. Biomechanical analysis of fixation methods in acetabular fractures: a systematic review of test setups.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022
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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

17 authors at 8 institutions in 5 countries.

Maria Giné-GarrigaDepartment of Sport Sciences, Faculty of Psychology, Education and Sport Sciences Blanquerna, Universitat Ramon Llull, Barcelona, Spain.
Oriol Sansano-NadalDepartment of Sport Sciences, Faculty of Psychology, Education and Sport Sciences Blanquerna, Universitat Ramon Llull, Barcelona, Spain.
Mark A TullyInstitute of Mental Health Sciences, School of Health Sciences, Ulster University, Newtownabbey, UK.
Paolo CaserottiDepartment of Sports Science and Clinical Biomechanics, Center for Active and Healthy Ageing (CAHA), University of Southern Denmark, Odense, Denmark.
Laura Coll-PlanasFundació Salut i Envelliment, Universitat Autònoma de Barcelona, Spain.
Dietrich RothenbacherInstitute of Epidemiology and Medical Biometry, Ulm University, Germany.
Dhayana DallmeierInstitute of Epidemiology and Medical Biometry, Ulm University, Germany.
Michael DenkingerAgaplesion Bethesda Clinic, Geriatric Research Unit Ulm University and Geriatric Center Ulm, Germany.
Jason J WilsonInstitute of Mental Health Sciences, School of Health Sciences, Ulster University, Newtownabbey, UK.
Carme Martin-BorràsDepartment of Sport Sciences, Faculty of Psychology, Education and Sport Sciences Blanquerna, Universitat Ramon Llull, Barcelona, Spain.
Mathias SkjødtDepartment of Sports Science and Clinical Biomechanics, Center for Active and Healthy Ageing (CAHA), University of Southern Denmark, Odense, Denmark.
Kelly FerriDepartment of Sport Sciences, Faculty of Psychology, Education and Sport Sciences Blanquerna, Universitat Ramon Llull, Barcelona, Spain.
Ana Claudia FarcheDepartment of Sport Sciences, Faculty of Psychology, Education and Sport Sciences Blanquerna, Universitat Ramon Llull, Barcelona, Spain.
Emma McIntoshDepartment of Health Economics, University of Glasgow, UK.
Nicole E BlackburnInstitute of Mental Health Sciences, School of Health Sciences, Ulster University, Newtownabbey, UK.
Antoni SalvàFundació Salut i Envelliment, Universitat Autònoma de Barcelona, Spain.
Marta Roqué-I-FigulsFundació Salut i Envelliment, Universitat Autònoma de Barcelona, Spain.
Universitat Ramon Llull · ESUniversitat Autònoma de Barcelona · ESUniversity of Ulster · GBUniversity of Southern Denmark · DKAgaplesion Bethesda Klinik · DEBoston University · USUniversität Ulm · DEUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSedentary behavior (SB) and physical activity (PA) are important determinants of health in older adults. This study aimed to describe the composition of accelerometer-measured SB and PA in older adults, to explore self-reported context-specific SB, and to assess sociodemographic and functional correlates of engaging in higher levels of SB in participants of a multicenter study including four European countries.

methodOne thousand three hundred and sixty community-dwelling older adults from the SITLESS study (61.8% women; 75.3 ± 6.3 years) completed a self-reported SB questionnaire and wore an ActiGraph accelerometer for 7 days. Accelerometer-determined compositional descriptive statistics were calculated. A fixed-effects regression analysis was conducted to assess the sociodemographic (country, age, sex, civil status, education, and medications) and functional (body mass index and gait speed) correlates.

resultsOlder adults spent 78.8% of waking time in SB, 18.6% in light-intensity PA, and 2.6% in moderate-to-vigorous PA. Accelerometry showed that women engaged in more light-intensity PA and walking and men engaged in higher amounts of moderate-to-vigorous PA. Watching television and reading accounted for 47.2% of waking time. Older age, being a man, single, taking more medications, being obese and overweight, and having a slower gait speed were statistically significant correlates of more sedentary time.

conclusionsThe high amount of SB of our participants justifies the need to develop and evaluate interventions to reduce sitting time. A clinically relevant change in gait speed can decrease almost 0.45 percentage points of sedentary time. The distribution of context-specific sedentary activities by country and sex showed minor differences, albeit worth noting.

Indexed as

AccelerometryExerciseSedentary BehaviorAgedAge FactorsBody Mass IndexDenmarkEducational StatusFemaleGermanyHumansMaleSex FactorsSpainSurveys and QuestionnairesTime FactorsCompositional analysisPhysical activitySedentary behaviorSociodemographic correlates

Identifiers

PMID31943000
PMCPMC7494025
OpenAlexW2999959573

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.