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Changes in alcohol consumption and alcohol problems before and after the COVID-19 pandemic: a prospective study in heavy drinking young adults

Abstract

Most past studies examining changes in alcohol use from before to during the COVID-19 pandemic used cross-sectional designs that required participants to retrospectively report on their pre-pandemic alcohol consumption. The few longitudinal studies conducted so far also commonly relied on retrospective reports of pre-pandemic alcohol use, and no previous longitudinal studies included multiple assessments that occurred both prior to and after the onset of the pandemic. Here, in 234 heavy drinking young adults (aged 21–29 years), we (1) prospectively examined within-person changes in alcohol consumption/patterns and alcohol problems assessed at multiple timepoints before and after the pandemic onset (February 2018 to March 2022), to examine trajectories of changes in alcohol involvement after the start of COVID in the context of deviations from pre-COVID trajectories (using individual growth models fitted in a multilevel structural equation modeling framework), and (2) tested theoretically informed mechanisms (that is, changes in negative affectivity, coping-motivated drinking and solitary drinking) in explaining pandemic-associated changes in alcohol consumption/patterns and alcohol problems using correlated slopes models. The results showed significant reductions in alcohol use quantity and frequency, as well as alcohol problems, from pre- to post-pandemic onset, which were largely driven by significant decreases in weekend (versus weekday) drinking quantity and frequency and drinks per drinking day. Negative affectivity significantly decreased, and solitary drinking significantly increased, from pre- to post-pandemic onset, with no significant change to coping drinking motives; changes in these variables were not related to decreases in alcohol involvement, and the magnitude of changes in all variables from pre- to post-pandemic onset did not generally differ for males and females. The results indicate that alcohol use and concomitant alcohol-related problems significantly decreased in these heavy drinking young adults during the pandemic, and these decreases were evident up to two years post pandemic onset.

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Fig. 1: Assessments across the study period.

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Data availability

Study aims, hypotheses and the data analytic plan were pre-registered on OSF prior to any data analyses being completed (https://osf.io/kjfa6). Study designs for the parent study were pre-registered at ClinicalTrials.gov (under ID NCT03467191). Data, analysis code and analysis results can be found on OSF (https://osf.io/kjfa6). Supplementary Information is available online.

References

  1. WHO Director-General’s opening remarks at the media briefing on COVID-19—11 March 2020. WHO https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020 (2020).

  2. Salazar de Pablo, G. et al. Impact of coronavirus syndromes on physical and mental health of health care workers: systematic review and meta-analysis. J. Affect. Disord. 275, 48–57 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Solmi, M. et al. Physical and mental health impact of COVID-19 on children, adolescents and their families: The Collaborative Outcomes Study on Health and Functioning during Infection Times – Children and Adolescents (COH-FIT-C&A). J. Affect. Disord. 299, 367–376 (2022).

    Article  PubMed  Google Scholar 

  4. Patel, K. et al. Psychological distress before and during the COVID-19 pandemic among adults in the United Kingdom based on coordinated analyses of 11 longitudinal studies. JAMA Netw. Open 5, e227629 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  5. Robinson, E., Sutin, A. R., Daly, M. & Jones, A. A systematic review and meta-analysis of longitudinal cohort studies comparing mental health before versus during the COVID-19 pandemic in 2020. J. Affect. Disord. 296, 567–576 (2022).

    Article  PubMed  Google Scholar 

  6. Kuhfeld, M., Soland, J., Lewis, K. & Morton, E. The pandemic has had devastating impacts on learning. What will it take to help students catch up? Brookings https://www.brookings.edu/articles/the-pandemic-has-had-devastating-impacts-on-learning-what-will-it-take-to-help-students-catch-up/ (2022).

  7. Acuff, S. F., Strickland, J. C., Tucker, J. A. & Murphy, J. G. Changes in alcohol use during COVID-19 and associations with contextual and individual difference variables: a systematic review and meta-analysis. Psychol. Addict. Behav. 36, 1–19 (2022).

    Article  PubMed  Google Scholar 

  8. González-Monroy, C., Gómez-Gómez, I., Olarte-Sánchez, C. M. & Motrico, E. Eating behaviour changes during the COVID-19 pandemic: a systematic review of longitudinal studies. Int. J. Environ. Res. Public Health 18, 11130 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  9. Kilian, C. et al. Changes in alcohol use during the COVID-19 pandemic in Europe: a meta-analysis of observational studies. Drug Alcohol Rev. 41, 918–931 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  10. Roberts, A. et al. Alcohol and other substance use during the COVID-19 pandemic: a systematic review. Drug Alcohol Depend. 229, 109150 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  11. Schmidt, R. A. et al. The early impact of COVID-19 on the incidence, prevalence, and severity of alcohol use and other drugs: a systematic review. Drug Alcohol Depend. 228, 109065 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  12. Sohi, I. et al. Changes in alcohol use during the COVID-19 pandemic and previous pandemics: a systematic review. Alcohol Clin. Exp. Res. 46, 498–513 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  13. Jager, J. & Keyes, K. M. Is substance use changing because of the COVID‐19 pandemic? Conceptual and methodological considerations to delineating the impact of the COVID‐19 pandemic on substance use and disorder. Addiction 116, 1301–1303 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  14. Bollen, Z. et al. Longitudinal assessment of alcohol consumption throughout the first COVID-19 lockdown: contribution of age and pre-pandemic drinking patterns. Eur. Addict. Res. 28, 48–55 (2021).

    Article  PubMed  Google Scholar 

  15. Minhas, M. et al. COVID‐19 impacts on drinking and mental health in emerging adults: longitudinal changes and moderation by economic disruption and sex. Alcohol. Clin. Exp. Res. 45, 1448–1457 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  16. Sharma, P. et al. Longitudinal correlates of increased alcohol use among adolescents and young adults during the COVID-19 pandemic. Alcohol Alcohol. 57, 648–655 (2022).

    PubMed  Google Scholar 

  17. Venanzi, L. et al. Longitudinal predictors of depression, anxiety and alcohol use following COVID-19-related stress. Stress Health 38, 679–691 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  18. Johnston, L. D. et al. Monitoring the Future National Survey Results on Drug Use, 1975–2021: Overview, Key Findings on Adolescent Drug Use (Institute for Social Research, 2022).

  19. Patrick, M. E. et al. Alcohol use and the COVID-19 pandemic: historical trends in drinking, contexts and reasons for use among US adults. Social Sci. Med. 301, 114887 (2022).

    Article  Google Scholar 

  20. Sylvestre, M.-P. et al. A longitudinal study of change in substance use from before to during the COVID-19 pandemic in young adults. Lancet Reg. Health Am 8, 100168 (2022).

    PubMed  PubMed Central  Google Scholar 

  21. Creswell, K. G. & Bachrach, R. L. A commentary on drinking to cope during the COVID-19 pandemic: the role of external and internal factors in coping motive pathways to alcohol use, solitary drinking and alcohol problems. Alcohol Clin. Exp. Res. 44, 2150–2153 (2020).

    Article  PubMed  Google Scholar 

  22. Wardell, J. D. et al. Drinking to cope during COVID-19 pandemic: the role of external and internal factors in coping motive pathways to alcohol use, solitary drinking and alcohol problems. Alcohol Clin. Exp. Res. 44, 2073–2083 (2020).

    Article  PubMed  Google Scholar 

  23. Penninx, B. W. J. H., Benros, M. E., Klein, R. S. & Vinkers, C. H. How COVID-19 shaped mental health: from infection to pandemic effects. Nat. Med 28, 2027–2037 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  24. Rehm, J. et al. Alcohol use in times of the COVID 19: implications for monitoring and policy. Drug Alcohol Rev. 39, 301–304 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  25. Cooper, M. L., Kuntsche, E., Levitt, A., Barber, L. L. & Wolf, S. in The Oxford Handbook of Substance Use and Substance Use Disorders Vol. 1, 375–421 (Oxford Univ. Press, 2016).

  26. Creswell, K. G. et al. Drinking beyond the binge threshold in a clinical sample of adolescents. Addiction 115, 1472–1481 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  27. King, S. E., Skrzynski, C. J., Bachrach, R. L., Wright, A. G. C. & Creswell, K. G. A reexamination of drinking motives in young adults: the development and initial validation of the Young Adult Alcohol Motives Scale. Assessment 30, 2398–2416 (2023).

    Article  PubMed  Google Scholar 

  28. Kuntsche, E., Knibbe, R., Gmel, G. & Engels, R. Why do young people drink? A review of drinking motives. Clin. Psychol. Rev. 25, 841–861 (2005).

    Article  PubMed  Google Scholar 

  29. Merrill, J. E., Wardell, J. D. & Read, J. P. Drinking motives in the prospective prediction of unique alcohol-related consequences in college students. J. Stud. Alcohol Drugs 75, 93–102 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  30. Waddell, J. T., Corbin, W. R. & Marohnic, S. D. Putting things in context: longitudinal relations between drinking contexts, drinking motives and negative alcohol consequences. Psychol. Addict. Behav. 35, 148–159 (2021).

    Article  PubMed  Google Scholar 

  31. Crum, R. M. et al. A prospective assessment of reports of drinking to self-medicate mood symptoms with the incidence and persistence of alcohol dependence. JAMA Psychiatry 70, 718–726 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  32. Fruehwirth, J. C., Gorman, B. L. & Perreira, K. M. The effect of social and stress-related factors on alcohol use among college students during the COVID-19 pandemic. J. Adolesc. Health 69, 557–565 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  33. Irizar, P. et al. Longitudinal associations with alcohol consumption during the first COVID-19 lockdown: associations with mood, drinking motives, context of drinking and mental health. Drug Alcohol Depend. 226, 108913 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  34. Bonar, E. E. et al. Binge drinking before and after a COVID-19 campus closure among first-year college students. Addict. Behav. 118, 106879 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  35. Jackson, K. M., Merrill, J. E., Stevens, A. K., Hayes, K. L. & White, H. R. Changes in alcohol use and drinking context due to the COVID‐19 pandemic: a multimethod study of college student drinkers. Alcohol. Clin. Exp. Res. 45, 752–764 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  36. Caudill, B. D. & Marlatt, G. A. Modeling influences in social drinking: an experimental analogue. J. Consult. Clin. Psychol. 43, 405–415 (1975).

    Article  PubMed  Google Scholar 

  37. Creswell, K. G. Drinking together and drinking alone: a social-contextual framework for examining risk for alcohol use disorder. Curr. Dir. Psychol. Sci. 30, 19–25 (2021).

    Article  PubMed  Google Scholar 

  38. Marlatt, G. A. Taxonomy of high-risk situations for alcohol relapse: evolution and development of a cognitive-behavioral model. Addiction 91, 37–50 (1996).

    Google Scholar 

  39. Steele, C. M. & Josephs, R. A. Alcohol myopia: its prized and dangerous effects. Am. Psychol. 45, 921–933 (1990).

    Article  PubMed  Google Scholar 

  40. Zapolski, T. C. B., Pedersen, S. L., McCarthy, D. M. & Smith, G. T. Less drinking, yet more problems: understanding African American drinking and related problems. Psychol. Bull. 140, 188–223 (2014).

    Article  PubMed  Google Scholar 

  41. Corbin, W. R., Waddell, J. T., Ladensack, A. & Scott, C. I drink alone: mechanisms of risk for alcohol problems in solitary drinkers. Addict. Behav. 102, 106147 (2020).

    Article  PubMed  Google Scholar 

  42. Creswell, K. G., Chung, T., Clark, D. B. & Martin, C. S. Solitary alcohol use in teens is associated with drinking in response to negative affect and predicts alcohol problems in young adulthood. Clin. Psychol. Sci. J. Assoc. Psychol. Sci. 2, 602–610 (2014).

    Article  Google Scholar 

  43. Creswell, K. G., Terry-McElrath, Y. M. & Patrick, M. E. Solitary alcohol use in adolescence predicts alcohol problems in adulthood: a 17-year longitudinal study in a large national sample of US high school students. Drug Alcohol Depend. 238, 109552 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  44. Skrzynski, C. J. & Creswell, K. G. Associations between solitary drinking and increased alcohol consumption, alcohol problems, and drinking to cope motives in adolescents and young adults: a systematic review and meta-analysis. Addiction 115, 1989–2007 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  45. Skrzynski, C. J. & Creswell, K. G. A systematic review and meta-analysis on the association between solitary drinking and alcohol problems in adults. Addiction 116, 2289–2303 (2021).

    Article  PubMed  Google Scholar 

  46. Saunders, J. B., Aasland, O. G., Babor, T. F., De La Fuente, J. R. & Grant, M. Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption-II. Addiction 88, 791–804 (1993).

    Article  PubMed  Google Scholar 

  47. Read, J. P., Kahler, C. W., Strong, D. R. & Colder, C. R. Development and preliminary validation of the young adult alcohol consequences questionnaire. J. Stud. Alcohol 67, 169–177 (2006).

    Article  PubMed  Google Scholar 

  48. Fairbairn, C. E. & Sayette, M. A. A social-attributional analysis of alcohol response. Psychol. Bull. 140, 1361–1382 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  49. Monk, R. L., Qureshi, A. & Heim, D. An examination of the extent to which mood and context are associated with real-time alcohol consumption. Drug Alcohol Depend. 208, 107880 (2020).

    Article  PubMed  Google Scholar 

  50. Smit, K., Groefsema, M., Luijten, M., Engels, R. C. M. E. & Kuntsche, E. Drinking motives moderate the effect of the social environment on alcohol use: an event-level study among young adults. J. Stud. Alcohol Drugs 76, 971–980 (2015).

    Article  PubMed  Google Scholar 

  51. Thrul, J., Labhart, F. & Kuntsche, E. Drinking with mixed-gender groups is associated with heavy weekend drinking among young adults. Addiction 112, 432–439 (2017).

    Article  PubMed  Google Scholar 

  52. Lau-Barraco, C. & Linden, A. N. Drinking buddies: who are they and when do they matter? Addict. Res. Theory 22, 57–67 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  53. Cullum, J., O’Grady, M., Armeli, S. & Tennen, H. The role of context-specific norms and group size in alcohol consumption and compliance drinking during natural drinking events. Basic Appl. Soc. Psychol. 34, 304–312 (2012).

  54. Sayette, M. A. et al. Alcohol and group formation: a multimodal investigation of the effects of alcohol on emotion and social bonding. Psychol. Sci. 23, 869–878 (2012).

    Article  PubMed  Google Scholar 

  55. Venerable, W. J. & Fairbairn, C. E. A multimodal, longitudinal investigation of alcohol’s emotional rewards and drinking over time in young adults. Psychol. Addict. Behav. 34, 601–612 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  56. Gonzalez, V. M., Collins, R. L. & Bradizza, C. M. Solitary and social heavy drinking, suicidal ideation and drinking motives in underage college drinkers. Addict. Behav. 34, 993–999 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  57. Tucker, J. S., Ellickson, P. L., Emery, R. L. & Klein, D. J. Does solitary substance use increase adolescents’ risk for poor psychosocial and behavioral outcomes? A 9-year longitudinal study comparing solitary and social users. Psychol. Addict. Behav. 20, 363–372 (2006).

    Article  PubMed  Google Scholar 

  58. Berlin, J. A., Santanna, J., Schmid, C. H., Szczech, L. A. & Feldman, H. I. Individual patient- versus group-level data meta-regressions for the investigation of treatment effect modifiers: ecological bias rears its ugly head. Stat. Med. 21, 371–387 (2002).

    Article  PubMed  Google Scholar 

  59. Reade, M. C., Delaney, A., Bailey, M. J. & Angus, D. C. Bench-to-bedside review: avoiding pitfalls in critical care meta-analysis—funnel plots, risk estimates, types of heterogeneity, baseline risk and the ecologic fallacy. Crit. Care 12, 220 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  60. Sayette, M. A., Goodwin, M. E., Creswell, K. G., Esmacher, H. J. & Dimoff, J. D. A person-centered analysis of craving in smoking-cue-exposure research. Clin. Psychol. Sci. 10, 570–583 (2022).

    Article  Google Scholar 

  61. Fairbairn, C. E., Creswell, K. G., Hales, A. H., Williams, K. D. & Wilkins, K. V. Mixing misery and gin: the effect of alcohol administration on ostracism response. Pers. Soc. Psychol. Bull. 48, 1269–1283 (2021).

  62. Sobell, L. C. & Sobell, M. B. in Measuring Alcohol Consumption: Psychosocial and Biochemical Methods (eds Litten, R. Z. & Allen, J. P.) 41–72 (Humana Press, 1992); https://doi.org/10.1007/978-1-4612-0357-5_3

  63. Pedersen, E. R., Grow, J., Duncan, S., Neighbors, C. & Larimer, M. E. Concurrent validity of an online version of the Timeline Followback assessment. Psychol. Addict. Behav. 26, 672–677 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  64. Roy, M. et al. Comparison of the quick drinking screen and the alcohol timeline followback with outpatient alcohol abusers. Substance Use Misuse 43, 2116–2123 (2008).

    Article  PubMed  Google Scholar 

  65. Tonigan, J. S., Miller, W. R. & Brown, J. M. The reliability of Form 90: an instrument for assessing alcohol treatment outcome. J. Stud. Alcohol 58, 358–364 (1997).

    Article  PubMed  Google Scholar 

  66. Hoeppner, B. B. et al. Daily college student drinking patterns across the first year of college. J. Stud. Alcohol Drugs 73, 613–624 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  67. Kushner, M. G., Abrams, K. & Borchardt, C. The relationship between anxiety disorders and alcohol use disorders: a review of major perspectives and findings. Clin. Psychol. Rev. 20, 149–171 (2000).

    Article  PubMed  Google Scholar 

  68. Tremblay, P. F. et al. When do first-year college students drink most during the academic year? An Internet-based study of daily and weekly drinking. J. Am. College Health 58, 401–411 (2010).

    Article  Google Scholar 

  69. Kokotailo, P. K. et al. Validity of the alcohol use disorders identification test in college students. Alcohol. Clin. Exp. Res. 28, 914–920 (2004).

    Article  PubMed  Google Scholar 

  70. Babor, T. F. & Grant, M. From clinical research to secondary prevention: international collaboration in the development of the Alcohol Disorders Identification Test (AUDIT). Alcohol Health Res. World 13, 371–375 (1989).

    Google Scholar 

  71. Babor, T. F., Higgins-Biddle, J. C., Saunders, J. B. & Monteiro, M. G. AUDIT: The Alcohol Use Disorders Identification Test: Guidelines for Use in Primary Health Care (WHO, 2001); https://apps.who.int/iris/handle/10665/67205

  72. Kahler, C. W., Hustad, J., Barnett, N. P., Strong, D. R. & Borsari, B. Validation of the 30-day version of the Brief Young Adult Alcohol Consequences Questionnaire for use in longitudinal studies. J. Stud. Alcohol Drugs 69, 611–615 (2008).

    Article  PubMed  Google Scholar 

  73. Cooper, M. L. Motivations for alcohol use among adolescents: development and validation of a four-factor mode. Psychol. Assess. 6, 117–128 (1994).

    Article  Google Scholar 

  74. MacLean, M. G. & Lecci, L. A comparison of models of drinking motives in a university sample. Psychol. Addict. Behav. 14, 83–87 (2000).

    Article  PubMed  Google Scholar 

  75. Maples, J. L. et al. Testing whether the DSM-5 personality disorder trait model can be measured with a reduced set of items: an item response theory investigation of the Personality Inventory for DSM-5. Psychol. Assess. 27, 1195–1210 (2015).

    Article  PubMed  Google Scholar 

  76. Al-Dajani, N., Gralnick, T. M. & Bagby, R. M. A psychometric review of the Personality Inventory for DSM-5 (PID-5): current status and future directions. J. Pers. Assess. 98, 62–81 (2016).

    Article  PubMed  Google Scholar 

  77. Anderson, J. L., Sellbom, M. & Salekin, R. T. Utility of the Personality Inventory for DSM-5–Brief Form (PID-5-BF) in the measurement of maladaptive personality and psychopathology. Assessment 25, 596–607 (2018).

    Article  PubMed  Google Scholar 

  78. Muthen, L. K. & Muthen, B. O. Mplus User’s Guide 8th edn (Muthen & Muthen, 2017).

  79. Marvin, L., Liu, H. & Depaoli, S. Using Bayesian piecewise growth curve models to handle complex nonlinear trajectories. J. Behav. Data Sci 3, 1–33 (2023).

    Article  Google Scholar 

  80. Burnham, K. P. & Anderson, D. R. Multimodel inference: understanding AIC and BIC in model selection. Sociol. Methods Res. 33, 261–304 (2004).

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Acknowledgements

This study was supported by National Institutes of Health (NIH) grant no. R01 AA025936 to K.G.C. The work by A.G.C.W. was supported by NIH grant no. R01 AA026879. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The NIH did not have any role in the study design, collection, analysis or interpretation of the data, writing the manuscript or the decision to submit the paper for publication. We thank the staff and students of the Behavioral Health Research Lab at Carnegie Mellon University for their help in conducting this study, as well as S. Yadav for help with creating Fig. 1.

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Contributions

Conceptualization was provided by K.G.C. and A.G.C.W., methodology by K.G.C. and C.E.F., formal analysis by G.C.H. and A.G.C.W., funding acquisition by K.G.C. and investigations by G.L., K.G.C. and F.A.C.-Á. The original draft was written by K.G.C., and review and editing was provided by A.G.C.W., G.C.H., C.E.F., G.L. and F.A.C.Á.

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Correspondence to Kasey G. Creswell.

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Extended data

Extended Data Fig. 1 AUDIT scores from pre- to post-pandemic onset.

Model estimated changes for Alcohol Use Disorder Identification Test (AUDIT) scores from pre- to post-pandemic overlaid on the raw data.

Extended Data Fig. 2 B-YAACQ scores from pre- to post-pandemic.

Model estimated changes for Brief-Young Adult Alcohol Consequences Questionnaire (B-YAACQ) scores from pre- to post-pandemic overlaid on the raw data.

Extended Data Fig. 3 Coping motives from pre- to post-pandemic.

Model estimated changes for coping drinking motives from pre- to post-pandemic overlaid on the raw data.

Extended Data Fig. 4 Drinks per drinking day from pre- to post-pandemic.

Model estimated changes for drinks per drinking day from pre- to post-pandemic overlaid on the raw data.

Extended Data Fig. 5 Negative affectivity from pre- to post-pandemic.

Model estimated changes for negative affectivity from pre- to post-pandemic overlaid on the raw data.

Extended Data Fig. 6 Solitary drinking from pre- to post-pandemic.

Model estimated changes for solitary drinking from pre- to post-pandemic overlaid on the raw data.

Extended Data Fig. 7 Total drinking frequency from pre- to post-pandemic.

Model estimated changes for total drinking frequency from pre- to post-pandemic overlaid on the raw data.

Extended Data Fig. 8 Total drinking quantity from pre- to post-pandemic.

Model estimated changes for total drinking quantity from pre- to post-pandemic overlaid on the raw data.

Extended Data Fig. 9 Weekday drinking frequency from pre- to post-pandemic.

Model estimated changes for weekday drinking frequency from pre- to post-pandemic overlaid on the raw data.

Extended Data Fig. 10 Weekday drinking quantity from pre- to post-pandemic.

Model estimated changes for weekday drinking quantity from pre- to post-pandemic overlaid on the raw data.

Extended Data Fig. 11 Weekend drinking frequency from pre- to post-pandemic.

Model estimated changes for weekend drinking frequency from pre- to post-pandemic overlaid on the raw data.

Extended Data Fig. 12 Weekend drinking quantity from pre- to post-pandemic.

Model estimated changes for weekend drinking quantity from pre- to post-pandemic overlaid on the raw data.

Supplementary information

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Creswell, K.G., Hisler, G.C., Lyons, G. et al. Changes in alcohol consumption and alcohol problems before and after the COVID-19 pandemic: a prospective study in heavy drinking young adults. Nat. Mental Health (2024). https://doi.org/10.1038/s44220-024-00247-9

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