Evidence map›Paper›PMID 40879878›Full record

ArticleJournal of behavioral medicine2025

I'm all over the place: complex symptom variability and within-day patterns among youth with chronic pain.

Emily Scholand, Anne Arewasikporn, Eric Scott, Elizaveta Bourchtein, Ashley Pogue, John A Sturgeon

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Article in Journal of behavioral medicine, 2025. 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

6 authors.

Emily ScholandDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, USA. DrEmily@pediatricpainbehavioralhealth.com.ORCID http://orcid.org/0000-0002-7859-4836
Anne ArewasikpornDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, USA.
Eric ScottDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, USA.
Elizaveta BourchteinDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, USA.
Ashley PogueDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
John A SturgeonDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Youth living with chronic pain experience a complex symptom burden, with multiple symptoms that may fluctuate throughout their daily lives. We aimed to explore the daily variability of multiple symptoms including pain, fatigue, cognitive dysfunction, mood, stress, and sleep, in a sample of youth with mixed chronic pain diagnoses. Youth ages 10-17 living with heterogeneous diagnoses of chronic pain lasting 3 or more months with associated functional disability (N = 25) wore wristworn ecological momentary assessment (EMA) monitors for seven days. Three times daily, they provided ratings regarding intensity of pain, fatigue, cognitive dysfunction (perceived clarity and speed of thought), mood, and stress. They also rated sleep daily. Youth also completed a series of standard recall questionnaires corresponding to domains assessed in the EMA ratings. Descriptive statistics, intra-class correlation coefficients, and multilevel models were used to describe the EMA ratings, assess within- and between-person variability, and explore diurnal patterns of ratings. Both trait-like and state-like patterns were observed in the EMA ratings. Diurnal patterns were also observed, with less fatigue (B

Indexed as

Chronic PainCognitive DysfunctionFatigueStress, PsychologicalAdolescentAffectChildCircadian RhythmEcological Momentary AssessmentFemaleHumansMaleSleepChronic painEcological momentary assessmentPain variabilityPediatric

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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.