Evidence map›Paper›PMID 31610996›Full record

ReviewJournal of affective disorders2019

Using ambulatory assessment to measure dynamic risk processes in affective disorders.

Jonathan P Stange, Evan M Kleiman, Robin J Mermelstein, Timothy J Trull

Open access · greenAbstract readReview
In one paragraph

Review in Journal of affective disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
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

22 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Neurophysiological Markers of Regulation Success in Everyday Life in Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
  3. Review
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  10. Autonomic complexity dynamically indexes affect regulation in everyday life.Journal of psychopathology and clinical science · 2023
    Article
  11. Stressed Out: Testing COVID-19's Impact on the Brain and Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023
    Article
  12. Review
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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 at 3 institutions in 1 country.

Jonathan P StangeUniversity of Illinois at Chicago, Department of Psychiatry, 1601 W Taylor St., Chicago, IL, 60612, USA. Electronic address: jstange@uic.edu.
Evan M KleimanRutgers, The State University of New Jersey, Department of Psychology, Tillett Hall, 53 Avenue E, Piscataway, NJ, 08854, USA.
Robin J MermelsteinUniversity of Illinois at Chicago, Department of Psychology and Institute for Health Research and Policy, 1747 W Roosevelt Rd., Chicago, IL, 60608, USA.
Timothy J TrullUniversity of Missouri, Department of Psychological Sciences, 210 McAlester Hall, Columbia, MO, 65211, USA.
University of Illinois Chicago · USRutgers, The State University of New Jersey · USUniversity of Missouri · US

Funding

From Networks to the Real World: Integrating Neural and Autonomic Processes of LossK23MH112769 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI STANGE, JONATHAN P · 2017 to 2021
$931k
NIMH NIH HHS K23 MH112769
6 · The paper itself

Abstract

backgroundRapid advances in the capability and affordability of digital technology have begun to allow for the intensive monitoring of psychological and physiological processes associated with affective disorders in daily life. This technology may enable researchers to overcome some limitations of traditional methods for studying risk in affective disorders, which often (implicitly) assume that risk factors are distal and static - that they do not change over time. In contrast, ambulatory assessment (AA) is particularly suited to measure dynamic "real-world" processes and to detect fluctuations in proximal risk for outcomes of interest.

methodWe highlight key questions about proximal and distal risk for affective disorders that AA methods (with multilevel modeling, or fully-idiographic methods) allow researchers to evaluate.

resultsKey questions include between-subject questions to understand who is at risk (e.g., are people with more affective instability at greater risk than others?) and within-subject questions to understand when risk is most acute among those who are at risk (e.g., does suicidal ideation increase when people show more sympathetic activation than usual?). We discuss practical study design and analytic strategy considerations for evaluating questions of risk in context, and the benefits and limitations of self-reported vs. passively-collected AA. LIMITATIONS: Measurements may only be as accurate as the observation period is representative of individuals' usual life contexts. Active measurement techniques are limited by the ability and willingness to self-report.

conclusionsWe conclude by discussing how monitoring proximal risk with AA may be leveraged for translation into personalized, real-time interventions to reduce risk.

Indexed as

Psychological TestsActivities of Daily LivingAdultAmbulatory CareFemaleHumansMaleMood DisordersRisk AssessmentRisk Factors

Identifiers

PMID31610996
PMCPMC7250154
OpenAlexW2969578955

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.