Evidence map›Paper›PMID 42767737›Full record

ArticleBMJ open2026

The 'UPIC' cohort: a nationwide prospective study of mental health among adolescents and young adults in Sweden - a study protocol.

Emma Hovén, Andreas Frick, Alkistis Skalkidou, Fotios C Papadopoulos, Lisa Ekselius, Malin Gingnell, Rose-Marie Karlsson, Karin C Brocki, Hanna Ljungvall, Emma Ahlqvist Lindqvist and 6 more

Abstract read
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

16 authors.

Emma HovénDepartment of Women's and Children's Health, Physiotherapy and Behavioral Medicine, Uppsala University, Uppsala, Sweden emma.hoven@uu.se.ORCID http://orcid.org/0000-0001-9335-9714
Andreas FrickDepartment of Psychology, Uppsala University, Uppsala, Sweden.
Alkistis SkalkidouDepartment of Women's and Children's Health, Obstetric and Reproductive Health Research, Uppsala University, Uppsala, Sweden.
Fotios C PapadopoulosDepartment of Medical Sciences, Clinical Psychiatry, Uppsala University, Uppsala, Sweden.
Lisa EkseliusDepartment of Women's and Children's Health, Physiotherapy and Behavioral Medicine, Uppsala University, Uppsala, Sweden.
Malin GingnellDepartment of Medical Sciences, Experimental Cognitive and Affective Neuroscience Lab, Uppsala University, Uppsala, Sweden.
Rose-Marie KarlssonDepartment of Women's and Children's Health, Physiotherapy and Behavioral Medicine, Uppsala University, Uppsala, Sweden.
Karin C BrockiDepartment of Psychology, Uppsala University, Uppsala, Sweden.
Hanna LjungvallDepartment of Women's and Children's Health, Physiotherapy and Behavioral Medicine, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-3655-6524
Emma Ahlqvist LindqvistDepartment of Women's and Children's Health, Physiotherapy and Behavioral Medicine, Uppsala University, Uppsala, Sweden.
Rakel EklundDepartment of Women's and Children's Health, Medical Psychology and Care Science, Uppsala University, Uppsala, Sweden.
Jonas BergquistDepartment of Chemistry for Life Sciences, Analytical Chemistry, Uppsala University, Uppsala, Sweden.
Lina EklundDepartment of Informatics and Media, Uppsala University, Uppsala, Sweden.
Ellen NilsesTarget ‑Group Representative and Research Partner, Uppsala University, Uppsala, Sweden.
Stina HallsénDepartment of Education, Uppsala University, Uppsala, Sweden.
Pernilla ÅsenlöfDepartment of Women's and Children's Health, Physiotherapy and Behavioral Medicine, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRates of adolescents and young adults (AYAs) reporting poor mental health have increased, with symptoms of anxiety and depression being most common. Yet, the processes underlying these trends remain unclear. This cohort study aims to establish a comprehensive dataset combining data from multiple sources (surveys, behavioural tests, registers and smartphone sensors) to assess mental health, including mental ill-health and well-being. The dataset will enable analyses of prevalence, risk and protective factors and predictive modelling of mental health trajectories. The study also evaluates the feasibility of such longitudinal data collection among AYAs. METHODS AND ANALYSIS: This study recruits 2000 AYAs aged 15-29 years from the general population in Sweden using an initial random sample invited by post, followed by recruitment through digital channels. Participants are followed for 2 years under one of three protocols: annual assessments, bi-annual assessments and annual assessments complemented by repeated ecological momentary assessments. Across protocols, data are collected through surveys using a study-specific mobile app and digital behavioural tests. Demographic and clinical information, including psychiatric diagnoses and prescribed medications, are obtained through national health registers. Smartphone sensor data are collected for insights into phone usage, sleep patterns and mobility. Blood samples are collected from a subset via home-based testing to enable biomarker analysis. When applicable, machine learning, including deep learning techniques, is applied to develop predictive algorithms for mental health outcomes, with the potential to inform early identification and prevention. Feasibility outcomes include recruitment and retention rates and the acceptability of study procedures and measures, assessed to inform future studies. ETHICS AND DISSEMINATION: Representatives from the target population have contributed to the study's development. The study complies with General Data Protection Regulation (GDPR) and has been approved by the Swedish Ethical Review Authority. Findings will be disseminated through scientific publications, conferences and to the public and relevant organisations.

Indexed as

DepressionMental DisordersMental HealthAdolescentAdultAnxietyFemaleHumansMalePrevalenceProspective StudiesResearch DesignSmartphoneSwedenYoung AdultAdolescentAnxiety disordersDepression & mood disordersMENTAL HEALTHPREVENTIVE MEDICINE

Identifiers

PMID42767737
PMCPMC13630165

What OpenQuestion holds

Textmetadata
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.