Exploring the temporal relationship between mood, alcohol- and nicotine use in bipolar disorder using time-series analyses
Abstract Background The 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. Digita...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-05-01
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| Series: | International Journal of Bipolar Disorders |
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| Online Access: | https://doi.org/10.1186/s40345-025-00388-5 |
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| author | Stine Holmstul Glastad Ole Klungsøyr Sofie Ragnhild Aminoff Roger Hagen Thomas Bjella Magnus Johan Engen Siv Hege Lyngstad Cecilie Busch Romain Icick Bruno Etain Ingrid Melle Ole A. Andreassen Margrethe Collier Høegh Trine Vik Lagerberg |
| author_facet | Stine Holmstul Glastad Ole Klungsøyr Sofie Ragnhild Aminoff Roger Hagen Thomas Bjella Magnus Johan Engen Siv Hege Lyngstad Cecilie Busch Romain Icick Bruno Etain Ingrid Melle Ole A. Andreassen Margrethe Collier Høegh Trine Vik Lagerberg |
| author_sort | Stine Holmstul Glastad |
| collection | DOAJ |
| description | Abstract Background The 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. Methods Thirty-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. Results We 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. Conclusion Our 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. |
| format | Article |
| id | doaj-art-d3e47286c1cd456da615b23ddf2ae0a1 |
| institution | DOAJ |
| issn | 2194-7511 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | International Journal of Bipolar Disorders |
| spelling | doaj-art-d3e47286c1cd456da615b23ddf2ae0a12025-08-20T03:08:21ZengSpringerOpenInternational Journal of Bipolar Disorders2194-75112025-05-0113111210.1186/s40345-025-00388-5Exploring the temporal relationship between mood, alcohol- and nicotine use in bipolar disorder using time-series analysesStine Holmstul Glastad0Ole Klungsøyr1Sofie Ragnhild Aminoff2Roger Hagen3Thomas Bjella4Magnus Johan Engen5Siv Hege Lyngstad6Cecilie Busch7Romain Icick8Bruno Etain9Ingrid Melle10Ole A. Andreassen11Margrethe Collier Høegh12Trine Vik Lagerberg13Section for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University HospitalDepartment for Research and Innovation, Oslo Centre for Biostatistics and Epidemiology, Oslo University HospitalDepartment for Research and Innovation, Division of Mental Health and Addiction, Oslo University HospitalDepartment of Psychology, University of OsloSection for Treatment Research, Division of Mental Health and Addiction, Oslo University HospitalNydalen District Psychiatric Centre, Division of Mental Health and Addiction, Oslo University HospitalNydalen District Psychiatric Centre, Division of Mental Health and Addiction, Oslo University HospitalSection for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University HospitalUniversité Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeNUniversité Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeNSection for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University HospitalInstitute of Clinical Medicine, University of OsloSection for Clinical Psychosis Research, Division of Mental Health and Addiction, Oslo University HospitalDepartment for Research and Innovation, Division of Mental Health and Addiction, Oslo University HospitalAbstract Background The 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. Methods Thirty-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. Results We 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. Conclusion Our 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.https://doi.org/10.1186/s40345-025-00388-5Bipolar disorderMoodNicotine useAlcohol useTime-series analysesApp monitoring |
| spellingShingle | Stine Holmstul Glastad Ole Klungsøyr Sofie Ragnhild Aminoff Roger Hagen Thomas Bjella Magnus Johan Engen Siv Hege Lyngstad Cecilie Busch Romain Icick Bruno Etain Ingrid Melle Ole A. Andreassen Margrethe Collier Høegh Trine Vik Lagerberg Exploring the temporal relationship between mood, alcohol- and nicotine use in bipolar disorder using time-series analyses International Journal of Bipolar Disorders Bipolar disorder Mood Nicotine use Alcohol use Time-series analyses App monitoring |
| title | Exploring the temporal relationship between mood, alcohol- and nicotine use in bipolar disorder using time-series analyses |
| title_full | Exploring the temporal relationship between mood, alcohol- and nicotine use in bipolar disorder using time-series analyses |
| title_fullStr | Exploring the temporal relationship between mood, alcohol- and nicotine use in bipolar disorder using time-series analyses |
| title_full_unstemmed | Exploring the temporal relationship between mood, alcohol- and nicotine use in bipolar disorder using time-series analyses |
| title_short | Exploring the temporal relationship between mood, alcohol- and nicotine use in bipolar disorder using time-series analyses |
| title_sort | exploring the temporal relationship between mood alcohol and nicotine use in bipolar disorder using time series analyses |
| topic | Bipolar disorder Mood Nicotine use Alcohol use Time-series analyses App monitoring |
| url | https://doi.org/10.1186/s40345-025-00388-5 |
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