Evidence map›Paper›PMID 32064635›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2020

Commentary: Ecology momentary assessment as a tool for understanding dynamic patterns in child and adolescent health and development - reflections on Russell and Gajos (2020).

Jessica J Chiang, Phoebe H Lam

Abstract readComment
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Jessica J ChiangDepartment of Psychology, Georgetown University, Washington, DC, USA.ORCID 0000-0002-1079-898X
Phoebe H LamDepartment of Psychology, Northwestern University, Evanston, IL, USA.ORCID 0000-0002-0248-2504

Funding

"Youth Exposure to Violence and Pulmonary and Cardiovascular Health: Meta- and Primary-Analytic Approaches to Understanding Mediators and Moderators."F31HL147509 · NHLBI · NORTHWESTERN UNIVERSITY · PI LAM, PHOEBE HOK-YEE · 2020 to 2022
$126k
NHLBI NIH HHS F31 HL147509
6 · The paper itself

Abstract

Ecological momentary assessment (EMA) has served as a methodological tool across subdisciplines in psychology, shedding light on family, personality, and affective processes, and physical and mental health. In their review, Russell and Gajos demonstrate how EMA can overcome several limitations of traditional methods in developmental psychopathology to answer questions about mental and behavioral health in youth. They also provide thoughtful future directions on integrating sensor technology, advancing modeling techniques for temporally dense data, and employing EMA for delivering interventions. This commentary similarly advocates for the use of EMA but extends Russell and Gajos's review by emphasizing EMA's utility for understanding and revealing dynamic changes and processes along micro timescales that have relevance for youth's health and development. We discuss how EMA can be especially fruitful for advancing theory and practice when administered in bursts and when combined with traditional assessments and longer-term longitudinal designs. Because such studies are resource-intensive, we also consider how extant EMA studies can be leveraged and subjected to meta- and mega-analytic techniques to inform theories and future EMA designs. We conclude that EMA is a promising tool for elucidating dynamic fluctuations in experiences and intra- and interpersonal processes that contribute to child and adolescent development and risk.

Indexed as

Adolescent HealthEcological Momentary AssessmentAdolescentChildFamilyHumans

Identifiers

PMID32064635
PMCPMC8696652

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.