Evidence map›Paper›PMID 37886441›Full record

ArticleResearch square2023

Physical and Mental Health in Adolescence: Novel Insights from a transdiagnostic examination of FitBit data in the ABCD Study.

Katherine Damme, Teresa Vargas, Sebastian Walther, Stewart Shankman, Vijay Mittal

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Katherine DammeNorthwestern University.ORCID 0000-0003-4260-1528
Teresa VargasNorthwestern University.
Sebastian WaltherUniversity of Bern.ORCID 0000-0003-4026-3561
Stewart ShankmanNorthwestern University.ORCID 0000-0002-8097-4483
Vijay MittalNorthwestern University.ORCID 0000-0001-9017-5119
University of Bern · CH

Funding

Frontal-Subcortical Development, Movement Abnormalities, and Risk for PsychosisR01MH094650 · NIMH · UNIVERSITY OF COLORADO · PI MITTAL, VIJAY A · 2011 to 2015
$2.3M
Northwestern University Mental Health, Earlier: Transdiagnostic, Transdisciplinary, Translational Training Program in Neurodevelopmental Mechanisms of PsychopathologyT32MH126368 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SHANKMAN, STEWART AARON, WAKSCHLAG, LAUREN S · 2021 to 2025
$1.4M
2/3 Community psychosis risk screening: An instrument development studyR01MH112545 · NIMH · NORTHWESTERN UNIVERSITY · PI MITTAL, VIJAY A · 2017 to 2021
$1.2M
Exercise and markers of medial temporal health in youth at-risk for psychosisR33MH103231 · NIMH · NORTHWESTERN UNIVERSITY · PI BRYAN, ANGELA, MITTAL, VIJAY A · 2016 to 2018
$689k
Exercise and markers of medial temporal health in youth at-risk for psychosisR21MH103231 · NIMH · UNIVERSITY OF COLORADO · PI BRYAN, ANGELA, MITTAL, VIJAY A · 2014 to 2015
$489k
NIMH NIH HHS R01 MH094650NIMH NIH HHS R01 MH112545NIMH NIH HHS R21 MH103231NIMH NIH HHS R33 MH103231NIMH NIH HHS T32 MH126368
6 · The paper itself

Abstract

Adolescence is among the most vulnerable period for the emergence of serious mental illnesses. Addressing this vulnerability has generated interest in identifying markers of risk for symptoms and opportunities for early intervention. Physical fitness has been linked to psychopathology and may be a useful risk marker and target for early intervention. New wearable technology has made assessing fitness behavior more practical while avoiding recall and self-report bias. Still, questions remain regarding the clinical utility of physical fitness metrics for mental health, both transdiagnostically and along specific symptom dimensions. The current study includes 5007 adolescents (ages 10 to 13) who participated in the Adolescent Brain Cognitive Development (ABCD) study and additional sub-study that collected fitness data from wearable technology and clinical symptom measures. Physical fitness metrics included resting heart rate (RHR- an index of cardiovascular health), time spent sedentary (associated with increased inflammation and cardiovascular disease), and time spent in moderate physical activity (associated with increased neurogenesis, neuroplasticity, and healthy neurodevelopment). Self-report clinical symptoms included measures of internalizing symptoms, externalizing symptoms, and psychosis-like experiences - PLE). Increased RHR- lower cardiovascular fitness- related only to greater internalizing symptoms (t = 3.63). More sedentary behavior related to elevated PLE severity (t = 5.49). More moderate activity related to lower PLE (t=-2.69) and internalizing (t=-6.29) symptom severity. Wearable technology fitness metrics linked physical health to specific mental health dimensions, which emphasizes the utility of detailed digital health data as a marker for risk and the need for precision in targeting physical health behaviors to benefit symptoms of psychopathology.

Identifiers

PMID37886441
PMCPMC10602093
OpenAlexW4387299974

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.