Evidence map›Paper›PMID 25361583›Full record

ArticleInternational journal of epidemiology2014

Physical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometry.

Inácio Cm da Silva, Vincent T van Hees, Virgílio V Ramires, Alan G Knuth, Renata M Bielemann, Ulf Ekelund, Soren Brage, Pedro C Hallal

Abstract read
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In one paragraph

Article in International journal of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 1 pooled it
–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

117 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Physical activity, inactivity and sleep during the Diabetes Remission Clinical Trial (DiRECT).Diabetic medicine : a journal of the British Diabetic Association · 2023
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  8. Effectiveness of the 'Girls Active' school-based physical activity programme: A cluster randomised controlled trial.The international journal of behavioral nutrition and physical activity · 2018
    Trial
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  19. The association between poor sleep health and Alzheimer's disease structural neuroimaging biomarkers.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  20. Article

57 more citing papers are in PubMed but not listed here.

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.

Inácio Cm da SilvaPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil, Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK, Postgraduate Program in Public Health, Federal University of Rio Grande, Rio Grande, Brazil and Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil, Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK, Postgraduate Program in Public Health, Federal University of Rio Grande, Rio Grande, Brazil and Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway inacio_cms@yahoo.com.br.
Vincent T van HeesPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil, Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK, Postgraduate Program in Public Health, Federal University of Rio Grande, Rio Grande, Brazil and Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil, Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK, Postgraduate Program in Public Health, Federal University of Rio Grande, Rio Grande, Brazil and Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Virgílio V RamiresPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil, Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK, Postgraduate Program in Public Health, Federal University of Rio Grande, Rio Grande, Brazil and Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Alan G KnuthPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil, Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK, Postgraduate Program in Public Health, Federal University of Rio Grande, Rio Grande, Brazil and Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Renata M BielemannPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil, Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK, Postgraduate Program in Public Health, Federal University of Rio Grande, Rio Grande, Brazil and Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Ulf EkelundPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil, Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK, Postgraduate Program in Public Health, Federal University of Rio Grande, Rio Grande, Brazil and Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil, Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK, Postgraduate Program in Public Health, Federal University of Rio Grande, Rio Grande, Brazil and Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Soren BragePostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil, Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK, Postgraduate Program in Public Health, Federal University of Rio Grande, Rio Grande, Brazil and Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway.
Pedro C HallalPostgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil, Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK, Postgraduate Program in Public Health, Federal University of Rio Grande, Rio Grande, Brazil and Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway.

Funding

Medical Research Council MC_U106179473Medical Research Council MC_UU_12015/3Wellcome Trust 095582Wellcome Trust WT086974MA
6 · The paper itself

Abstract

backgroundData on objectively measured physical activity are lacking in low- and middle-income countries. The aim of this study was to describe objectively measured overall physical activity and time spent in moderate-to-vigorous physical activity (MVPA) in individuals from the Pelotas (Brazil) birth cohorts, according to weight status, socioeconomic status (SES) and sex.

methodsAll children born in 1982, 1993 and 2004 in hospitals in the city of Pelotas, Brazil, constitute the sampling frame; of these 99% agreed to participate. The most recent follow-ups were conducted between 2010 and 2013. In total, 8974 individuals provided valid data derived from raw triaxial wrist accelerometry. The average acceleration is presented in milli-g (1 mg = 0.001g), and time (min/d) spent in MVPA (>100 mg) is presented in 5- and 10-min bouts.

resultsMean acceleration in the 1982 (mean age 30.2 years), 1993 (mean age 18.4 years) and 2004 (mean age 6.7 years) cohorts was 35 mg, 39 mg and 60 mg, respectively. Time spent in MVPA was 26 [95% confidence interval (CI) 25; 27], 43 (95% CI 42; 44) and 45 (95% CI 43; 46) min/d in the three cohorts, respectively, using 10-min bouts. Mean MVPA was on average 42% higher when using 5-min bouts. Males were more active than females and physical activity was inversely associated with age of the cohort and SES. Normal-weight individuals were more active than underweight, overweight and obese participants.

conclusionsOverall physical activity and time spent in MVPA differed by cohort (age), sex, weight status and SES. Higher levels of activity in low SES groups may be explained by incidental physical activity.

Indexed as

AccelerometryExerciseMotor ActivitySocial ClassAdolescentAdultBrazilChildCohort StudiesFemaleHumansIncomeMaleObesityOverweightThinnessActivity monitorcohort studiesmotor activitymovement

Identifiers

PMID25361583
PMCPMC4276065

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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.