Evidence map›Paper›PMID 40407853›Full record

ArticleInternational journal of bipolar disorders2025

Exploring the temporal relationship between mood, alcohol- and nicotine use in bipolar disorder using time-series analyses.

Stine Holmstul Glastad, Ole Klungsøyr, Sofie Ragnhild Aminoff, Roger Hagen, Thomas Bjella, Magnus Johan Engen, Siv Hege Lyngstad, Cecilie Busch, Romain Icick, Bruno Etain and 4 more

Abstract read
In one paragraph

Article in International journal of bipolar disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

14 authors.

Stine Holmstul GlastadSection for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway. s.h.glastad@ous-research.no.
Ole KlungsøyrDepartment for Research and Innovation, Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway.
Sofie Ragnhild AminoffDepartment for Research and Innovation, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Roger HagenDepartment of Psychology, University of Oslo, Oslo, Norway.
Thomas BjellaSection for Treatment Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Magnus Johan EngenNydalen District Psychiatric Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Siv Hege LyngstadNydalen District Psychiatric Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Cecilie BuschSection for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Romain IcickUniversité Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France.
Bruno EtainUniversité Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France.
Ingrid MelleSection for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Ole A AndreassenInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.
Margrethe Collier HøeghSection for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Trine Vik LagerbergDepartment for Research and Innovation, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.

Funding

Helse Sør-Øst RHF 2007069Norges Forskningsråd 288542
6 · The paper itself

Abstract

backgroundThe prevalence of substance use disorders in bipolar disorder (BD) is high. Exploring potential interactions between mood and the use of common substances such as alcohol and nicotine may contribute to a better understanding of the mechanisms underlying such comorbidities. Digital tools now allow for continuous monitoring and data collection of both symptoms and behavior. This enables time-series analyses to explore such associations with greater precision.

methodsThirty-two individuals in the early phases of BD registered their mood daily and their use of substances weekly in the MinDag (MyDay) app for up to 6 months. We explored temporal relationships between the use of alcohol and nicotine and the levels of depressed, elevated, irritable, and anxious mood using Vector Autoregressive Models and Granger causality tests.

resultsWe found indications that mood influenced alcohol- and nicotine use, and vice versa. Significant temporal relationships (Granger causality) were found in 55% (11 out of 20) of the participants for alcohol and 70% (7 out of 10) for nicotine use, and with high proportions of the variance explained by the one time-series on the other. The associations were consistent with causal effects in one or both directions, but with no adjustment for confounding.

conclusionOur findings indicate that mood influences alcohol- and nicotine use and vice versa in individuals with BD, although caution should be taken due to the exploratory approach. Larger samples are needed to further disentangle these relationships to provide insight for better prevention and treatment of BD and comorbid substance use disorders.

Indexed as

Alcohol useApp monitoringBipolar disorderMoodNicotine useTime-series analyses

Identifiers

PMID40407853
PMCPMC12102454

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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.