Evidence map›Paper›PMID 42466407›Full record

ArticleResearch square2026

Determinants of fractal motor activity regulation: insights from a large community-dwelling multi-ethnic population.

Grégory Hammad, Emilie Seret, Christina Schmidt, Gilles Vandewalle

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Grégory HammadGIGA-CRC Human Imaging, University of Liège, Liège, 4000, Belgium.
Emilie SeretGIGA-CRC Human Imaging, University of Liège, Liège, 4000, Belgium.
Christina SchmidtGIGA-CRC Human Imaging, University of Liège, Liège, 4000, Belgium.
Gilles VandewalleGIGA-CRC Human Imaging, University of Liège, Liège, 4000, Belgium.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
ASSOCIATION OF SLEEP DISORDERS WITH CARDIOVASCULAR HEALTH ACROSS ETHNIC GROUPSR01HL098433 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S. · 2010 to 2015
$8.2M
National Sleep Research Resource (NSRR)R24HL114473 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S., ZHANG, GUO-QIANG · 2013 to 2017
$7.5M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095166 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1999 to 2001
$758k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095161 · HC · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEA, STEVEN · 1999 to 2001
$642k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095165 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1999 to 2001
$616k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095160 · HC · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SAAD, MOHAMMED F · 1999 to 2001
$592k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095164 · HC · NORTHWESTERN UNIVERSITY · PI LIU, KIANG JOHN · 1999 to 2001
$511k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095163 · HC · UNIVERSITY OF MINNESOTA TWIN CITIES · PI FOLSOM, AARON R · 1999 to 2001
$443k
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL098433NHLBI NIH HHS R24 HL114473
6 · The paper itself

Abstract

Background: Quantification of alterations in fractal motor activity regulation (FMAR) has the potential to improve early detection of Alzheimer's disease. To improve the clinical relevance of such marker, our analysis aims to investigate potential determinants such as age, sex, physical activity and race and ethnicity in a large community-dwelling multi-ethnic cohort of older Asian, Black, Hispanic and White individuals. Methods: We analysed week-long actigraphy recordings from 1508 older adults (55 to 90 years) of the MESA Sleep dataset. Long-range correlations in activity levels, a marker of fractal regulation, were assessed via a scaling exponent extracted with a Detrended Fluctuation Analysis over two different time ranges. Bayesian linear models were used to compare scaling exponent values between ethnic groups and test their associations with various determinants, such as age, sex and physical activity levels. Results: We found opposite effects of age on FMAR at both short and long time scales, respectively ( Conclusion: Using a large multi-ethnic cross-sectional dataset, our analysis provided support and clarified the interaction effect of age and sex on FMAR. It also confirmed, in humans, the influence of activity levels on FMAR observed in rodents and demonstrated for the first time that FMAR alterations are modulated by race and ethnicity.

Indexed as

actigraphyageingcircadianfractalHumanmotor activitymulti-ethnicrhythmultradian

Identifiers

PMID42466407
PMCPMC13370636

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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.