Evidence map›Paper›PMID 29702673›Full record

ArticlePloS one2018

Physical activity measured with wrist and ankle accelerometers: Age, gender, and BMI effects.

Veronica Ramirez, Ehsan Shokri-Kojori, Elizabeth A Cabrera, Corinde E Wiers, Kathleen Merikangas, Dardo Tomasi, Gene-Jack Wang, Nora D Volkow

Abstract readComparative Study
In one paragraph

Article in PloS one, 2018. 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.

  1. Article
  2. Article
  3. Demographic characteristics associated with circadian rest-activity rhythm patterns: a cross-sectional study.The international journal of behavioral nutrition and physical activity · 2021
    Article
  4. Article
  5. Article
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.

Veronica RamirezNational Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, United States of America.ORCID 0000-0001-5083-196X
Ehsan Shokri-KojoriNational Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, United States of America.
Elizabeth A CabreraNational Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, United States of America.
Corinde E WiersNational Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, United States of America.
Kathleen MerikangasNational Institute of Mental Health, Bethesda, Maryland, United States of America.
Dardo TomasiNational Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, United States of America.
Gene-Jack WangNational Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, United States of America.
Nora D VolkowNational Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, United States of America.

Funding

Neurobiology of Substance Abuse and AddictionZIAAA000550 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI VOLKOW, NORA D. · 2009 to 2025
$115.1M
Motor Activity Research Consortium for Health (mMarch)ZIAMH002954 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MERIKANGAS, KATHLEEN R · 2016 to 2025
$10.1M
NIH HHS Y1AA3009
6 · The paper itself

Abstract

Physical activity (PA) is associated with various aspects of physical and mental health and varies by age and BMI. We aimed to compare PA measures obtained with wrist and ankle accelerometers and characterize their associations with age and BMI. We assessed PA mean and PA variability (indexed by coefficient of variation (CV)) at daytime and nighttime periods for seven consecutive days (M = 152.90 h) in 47 healthy participants (18-73 years old, 21 females). Diurnally, mean PA for both ankle and wrist and CV of PA for ankle decreased from the first to the second half of daytime (p < 0.05). There were no differences in mean PA between wrist and ankle at any time-period (p > 0.2). CV of ankle PA at daytime was significantly higher than wrist PA (p < .0001). The opposite pattern was observed at nighttime (p < .0001). Pearson correlation analyses were performed to assess the associations between wrist (or ankle) PA and age and BMI. Mean daytime (but not nighttime) activity for wrist and ankle decreased significantly with age (p < .05). PA variability also decreased with age for wrist and ankle during daytime and for ankle during nighttime (p < .05). BMI was negatively associated with wrist daytime PA variability (p < .05). There were no gender effects on activity measures. These findings indicate that wrist and ankle mean PA measures were not significantly different but were significantly different (p < 0.5) for PA variability in both daytime and nighttime. Age-related decreases of PA-mean and variability were observed during daytime in wrist and ankle, whereas higher wrist daytime variability was inversely associated with BMI. These findings provide new insights into PA features in free-living environment, which are relevant for public health and may have implications for clinical assessment of neurodegenerative disorders impacting PA and their interaction with demographics.

Indexed as

AccelerometryAdultAgedAge FactorsAnkleBody Mass IndexCircadian RhythmExerciseFemaleHumansMaleMiddle AgedSex FactorsWristYoung Adult

Identifiers

PMID29702673
PMCPMC5922544

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.