Evidence map›Paper›PMID 42336785›Full record

ArticleBMJ open2026

Mood in the moment: a study protocol for embedding ecological momentary assessments into established longitudinal cohorts to examine depression in real time.

Alex S F Kwong, Sarah Moody, Adele Taylor, Celestine Lockhart, Rachel Ogden, Ray Leal, Andrew Mcmillan, Jessica Harvey, Elizabeth Brierley, Sarah Matthews and 5 more

Abstract readTwin Study
In one paragraph

Article in BMJ open, 2026. 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

15 authors.

Alex S F KwongDivision of Psychiatry, Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK akwong@ed.ac.uk.ORCID http://orcid.org/0000-0003-1953-2771
Sarah MoodyDivision of Psychiatry, Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Adele TaylorDivision of Psychiatry, Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK.
Celestine LockhartSocial, Genetic and Developmental Psychiatry, King's College London, London, UK.
Rachel OgdenSocial, Genetic and Developmental Psychiatry, King's College London, London, UK.
Ray LealSocial, Genetic and Developmental Psychiatry, King's College London, London, UK.
Andrew McmillanSocial, Genetic and Developmental Psychiatry, King's College London, London, UK.
Jessica HarveyPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Elizabeth BrierleyPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Sarah MatthewsPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Richard HobbsPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Anne SimmonsPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Thalia C EleySocial, Genetic and Developmental Psychiatry, King's College London, London, UK.
Nicholas C JacobsonCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA.
Aja L MurrayDepartment of Psychology, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-9068-3188

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDepression is a major global health challenge, with onset commonly occurring in youth. There is an urgent need to better understand the epidemiology of depression to facilitate better interventions and preventions that are person-specific and time-specific. Long-term depression trajectories and ecological momentary assessment (EMA) can help address this need. Embedding EMA designs within established longitudinal cohorts offers a uniquely powerful approach to examine depression in both long- and short-term settings and to identify distal and proximal modifiable risk factors for depression. METHODS AND ANALYSES: Our study will include ~450 participants from the Twins Early Development Study and ~250 participants from the Avon Longitudinal Study of Parents and Children (ALSPAC) who have depression trajectories data previously collected between late childhood and early adulthood. Participants will be recruited from four different depression trajectories in each cohort based on participants' prior symptoms. They will undertake EMA surveys of depression, sleep, physical activity, substance use, diet, recent activities and social interactions three times a day for 6 weeks, with more detailed questionnaires at baseline, 2, 4 and 6 weeks. We will use descriptive analysis, mixed effects models and dynamic structural equation modelling to examine how depression occurs over this time, how potentially modifiable factors affect depression and vice versa and how these effects vary by different life-course trajectories. This study is designed to identify people at heightened risk of depression and/or identify modifiable targets that could inform more effective prevention and intervention strategies. ETHICS AND DISSEMINATION: Favourable ethical opinions were given by the Edinburgh Medical School Research Ethics Committee (REC References: 25-EMREC-001 and 25-EMREC-030) and the ALSPAC Law and Ethics Committee (Ref: 0027 B4792). The results will be disseminated through journal publications, conferences and seminar presentations and to relevant stakeholders, such as those with a history of depression, policy makers and clinicians.

Indexed as

AffectDepressionEcological Momentary AssessmentAdolescentAdultChildFemaleHumansLongitudinal StudiesMaleResearch DesignRisk FactorsSurveys and QuestionnairesAdult psychiatryChild & adolescent psychiatryDepression & mood disordersLongitudinal studiesSTATISTICS & RESEARCH METHODS

Identifiers

PMID42336785
PMCPMC13296039

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.