Evidence map›Paper›PMID 41129376›Full record

ArticleJournal of psychopathology and clinical science2025

Differential associations of passively sensed behaviors with in-vivo depression symptoms.

Tanvi Lakhtakia, Shannon R Smith, Jonah Meyerhoff, Yixuan Meng, Lyle H Ungar, David C Mohr, Caitlin A Stamatis

Abstract read
In one paragraph

Article in Journal of psychopathology and clinical science, 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

7 authors.

Tanvi LakhtakiaNorthwestern University Feinberg School of Medicine, Center for Behavioral Intervention Technologies.ORCID 0000-0003-2470-7716
Shannon R SmithNorthwestern University Feinberg School of Medicine, Center for Behavioral Intervention Technologies.
Jonah MeyerhoffNorthwestern University Feinberg School of Medicine, Center for Behavioral Intervention Technologies.
Yixuan MengNorthwestern University Feinberg School of Medicine, Center for Behavioral Intervention Technologies.
Lyle H UngarUniversity of Pennsylvania, Computer and Information Science.
David C MohrNorthwestern University Feinberg School of Medicine, Center for Behavioral Intervention Technologies.
Caitlin A StamatisNorthwestern University Feinberg School of Medicine, Center for Behavioral Intervention Technologies.

Funding

LifeSense: Transforming Behavioral Assessment of Depression Using Personal Sensing TechnologyR01MH111610 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KORDING, KONRAD P., MOHR, DAVID CURTIS · 2017 to 2020
$3.2M
mHealth for suicide prevention: Design, development, and feasibility of a scalable SMS-based safety planning interventionK08MH128640 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Jonah Meyerhoff · 2022 to 2026
$1.0M
NIMH NIH HHS K08 MH128640NIMH NIH HHS R01 MH111610
6 · The paper itself

Abstract

Research suggests that passively sensed behaviors can serve as indicators for depression in aggregate-however, depression is a multifaceted construct, individual facets of which may differentially relate to sensed features. We examined relationships of in-vivo individual depression facets (affect, stress, fatigue, and distractibility) with passively sensed location, communication, and phone-use data. Participants (N = 734, 73.57% female, Mage = 41.6) with moderate depression symptoms (Patient Health Questionnaire-8; M = 13.2) responded to ecological momentary assessments of affect, stress, fatigue, and distractibility 3×/day every 3 weeks for 16 weeks; passive data were continuously collected. Using multilevel modeling, we tested within- and between-person associations of depression-related ecological momentary assessments with passive features. When people spent more time in frequently visited locations relative to their own average, they reported more positive affect (β = .03, p = .043). Relatedly, increased within-person circadian movement was associated with less stress (β = .032, p = .035). When people communicated via call/text more relative to their own average, they reported increased negative affect (β = -.05, p = .008), stress (β = -.076, p < .001), and distractibility (β = -.048, p = .006). When people used social media more than typical for them, they reported less stress (β = .030, p = .047) and less fatigue (β = .034, p = .021). Findings highlight potential opportunities for depression symptom monitoring and treatment. The dual positive effect of novel environments and routine stability, along with nuanced findings around communication patterns, invite further investigation into factors that may elucidate how passively sensed behaviors surface in depression, in service of informing just-in-time adaptive intervention development. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Indexed as

AffectDepressionEcological Momentary AssessmentFatigueStress, PsychologicalAdultFemaleHumansMaleMiddle Aged

Identifiers

PMID41129376
PMCPMC12757103

What OpenQuestion holds

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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.