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Ecological momentary interventions for smoking cessation: a systematic review and meta-analysis

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Abstract

Background and objectives

Tobacco use is an important cause of preventable mortality and morbidity worldwide. Only 7% of smokers successfully quit annually, despite numerous evidence-based smoking cessation treatments. An important reason for failure is barriers to accessing appropriate smoking cessation interventions, which can be minimized by technology-delivered interventions, such as ecological momentary interventions. Ecological momentary interventions provide the right type and intensity of treatment in real time, based on ecological momentary assessments of relevant variables. The aim of this review was to assess the effectiveness of ecological momentary interventions in smoking cessation.

Methods

We searched MEDLINE, Scopus, CENTRAL, psychINFO, and ProQuest without applying any filters on 19 September, 2022. One author screened search results for obvious irrelevant and duplicate studies. The remaining studies were independently reviewed by two authors to exclude irrelevant studies, and then they extracted data from the included studies. We collated study findings, transformed data into a common rubric, and calculated a weighted treatment effect across studies using Review Manager 5.

Findings

We analyzed 10 studies with a total of 2391 participants. Assessment methods included exhaled CO analyzers, bidirectional SMS, data input in apps, and hand movement detection. Interventions were based on acceptance and commitment therapy and cognitive behavioral therapy. Smoking abstinence was significantly higher in participants of intervention groups compared to control groups (RR = 1.24; 95% CI 1.07–1.44, P = 0.004; I2 = 0%).

Conclusion

Ecological momentary intervention is a novel area of research in behavioral science. The results of this systematic review based on the available literature suggest that these interventions could be beneficial for smoking cessation.

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References

  1. World Health Organization (2021) WHO report on the global tobacco epidemic, 2021: addressing new and emerging products. World Health Organization, Geneva

    Google Scholar 

  2. Collaborators GT (2021) Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet (Lond, Engl) 397(10292):2337

    Article  Google Scholar 

  3. Health UDo, Services H (2014) The health consequences of smoking—50 years of progress: a report of the Surgeon General. US Department of Health and Human Services, Centers for Disease, Atlanta

    Google Scholar 

  4. Babb S, Malarcher A, Schauer G, Asman K, Jamal A (2017) Quitting smoking among adults—United States, 2000–2015. MMWR Morb Mortal Wkly Rep 65(52):1457–1464. https://doi.org/10.15585/mmwr.mm6552a1

    Article  PubMed  Google Scholar 

  5. Prochaska JJ, Fletcher L, Hall SE, Hall SM (2006) Return to smoking following a smoke-free psychiatric hospitalization. Am J Addict 15(1):15–22. https://doi.org/10.1080/10550490500419011

    Article  PubMed  Google Scholar 

  6. Clarke JG, Stein LA, Martin RA, Martin SA, Parker D, Lopes CE, McGovern AR, Simon R, Roberts M, Friedman P, Bock B (2013) Forced smoking abstinence: not enough for smoking cessation. JAMA Intern Med 173(9):789–794. https://doi.org/10.1001/jamainternmed.2013.197

    Article  PubMed  PubMed Central  Google Scholar 

  7. Hiscock R, Bauld L, Amos A, Fidler JA, Munafo M (2012) Socioeconomic status and smoking: a review. Ann N Y Acad Sci 1248:107–123. https://doi.org/10.1111/j.1749-6632.2011.06202.x

    Article  PubMed  Google Scholar 

  8. Shiffman S, Brockwell SE, Pillitteri JL, Gitchell JG (2008) Use of smoking-cessation treatments in the United States. Am J Prev Med 34(2):102–111. https://doi.org/10.1016/j.amepre.2007.09.033

    Article  PubMed  Google Scholar 

  9. Caraballo RS, Shafer PR, Patel D, Davis KC, McAfee TA (2017) Quit methods used by US adult cigarette smokers, 2014–2016. Prev Chronic Dis 14:E32. https://doi.org/10.5888/pcd14.160600

    Article  PubMed  PubMed Central  Google Scholar 

  10. Raupach T, West R, Brown J (2013) The most “successful” method for failing to quit smoking is unassisted cessation. Nicotine Tob Res 15(3):748–749. https://doi.org/10.1093/ntr/nts164

    Article  PubMed  Google Scholar 

  11. Gollust SE, Schroeder SA, Warner KE (2008) Helping smokers quit: understanding the barriers to utilization of smoking cessation services. Milbank Q 86(4):601–627. https://doi.org/10.1111/j.1468-0009.2008.00536.x

    Article  PubMed  PubMed Central  Google Scholar 

  12. Coleman T (2004) Cessation interventions in routine health care. BMJ 328(7440):631–633. https://doi.org/10.1136/bmj.328.7440.631

    Article  PubMed  PubMed Central  Google Scholar 

  13. Thomas D, Abramson MJ, Bonevski B, George J (2017) System change interventions for smoking cessation. Cochrane Database Syst Rev 2:CD010742. https://doi.org/10.1002/14651858.CD010742.pub2

    Article  PubMed  Google Scholar 

  14. Luxton DD, McCann RA, Bush NE, Mishkind MC, Reger GM (2011) mHealth for mental health: integrating smartphone technology in behavioral healthcare. Prof Psychol Res Pract 42(6):505

    Article  Google Scholar 

  15. Proudfoot J (2013) The future is in our hands: the role of mobile phones in the prevention and management of mental disorders. Aust N Z J Psychiatry 47(2):111–113

    Article  PubMed  Google Scholar 

  16. Dao KP, De Cocker K, Tong HL, Kocaballi AB, Chow C, Laranjo L (2021) Smartphone-delivered ecological momentary interventions based on ecological momentary assessments to promote health behaviors: systematic review and adapted checklist for reporting ecological momentary assessment and intervention studies. JMIR Mhealth Uhealth 9(11):e22890. https://doi.org/10.2196/22890

    Article  PubMed  PubMed Central  Google Scholar 

  17. Harrison V, Proudfoot J, Wee PP, Parker G, Pavlovic DH, Manicavasagar V (2011) Mobile mental health: review of the emerging field and proof of concept study. J Ment Health 20(6):509–524

    Article  PubMed  Google Scholar 

  18. Marcolino MS, Oliveira JAQ, D’Agostino M, Ribeiro AL, Alkmim MBM, Novillo-Ortiz D (2018) The impact of mHealth interventions: systematic review of systematic reviews. JMIR Mhealth Uhealth 6(1):e8873

    Article  Google Scholar 

  19. Whittaker R, Borland R, Bullen C, Lin RB, McRobbie H, Rodgers A (2009) Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev 4:CD006611. https://doi.org/10.1002/14651858.CD006611.pub2

    Article  Google Scholar 

  20. Heron KE, Smyth JM (2010) Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. Br J Health Psychol 15(Pt 1):1–39. https://doi.org/10.1348/135910709X466063

    Article  PubMed  Google Scholar 

  21. Trull TJ, Ebner-Priemer UW (2009) Using experience sampling methods/ecological momentary assessment (ESM/EMA) in clinical assessment and clinical research: introduction to the special section

  22. Shiffman S, Stone AA, Hufford MR (2008) Ecological momentary assessment. Annu Rev Clin Psychol 4:1–32. https://doi.org/10.1146/annurev.clinpsy.3.022806.091415

    Article  PubMed  Google Scholar 

  23. Schwabe L, Wolf OT (2009) Stress prompts habit behavior in humans. J Neurosci 29(22):7191–7198. https://doi.org/10.1523/JNEUROSCI.0979-09.2009

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Otto AR, Raio CM, Chiang A, Phelps EA, Daw ND (2013) Working-memory capacity protects model-based learning from stress. Proc Natl Acad Sci USA 110(52):20941–20946. https://doi.org/10.1073/pnas.1312011110

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Tobacco use: mobile phone text messaging cessation interventions. Guide to community preventive services. 2022. https://www.thecommunityguide.org/findings/tobacco-use-mobile-phone-text-messaging-cessation-interventions. Accessed 26 May 2022

  26. Ben-Zeev D, Davis KE, Kaiser S, Krzsos I, Drake RE (2013) Mobile technologies among people with serious mental illness: opportunities for future services. Adm Policy Ment Health Ment Health Serv Res 40(4):340–343

    Article  Google Scholar 

  27. Colombo D, Fernandez-Alvarez J, Patane A, Semonella M, Kwiatkowska M, Garcia-Palacios A, Cipresso P, Riva G, Botella C (2019) Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review. J Clin Med 8(4):465. https://doi.org/10.3390/jcm8040465

    Article  PubMed  PubMed Central  Google Scholar 

  28. Balaskas A, Schueller SM, Cox AL, Doherty G (2021) Ecological momentary interventions for mental health: a scoping review. PLoS ONE 16(3):e0248152. https://doi.org/10.1371/journal.pone.0248152

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Staiger PK, O’Donnell R, Liknaitzky P, Bush R, Milward J (2020) Mobile apps to reduce tobacco, alcohol, and illicit drug use: systematic review of the first decade. J Med Internet Res 22(11):e17156. https://doi.org/10.2196/17156

    Article  PubMed  PubMed Central  Google Scholar 

  30. Badawy SM, Shah R, Beg U, Heneghan MB (2020) Habit strength, medication adherence, and habit-based mobile health interventions across chronic medical conditions: systematic review. J Med Internet Res 22(4):e17883

    Article  PubMed  PubMed Central  Google Scholar 

  31. Payne HE, Lister C, West JH, Bernhardt JM (2015) Behavioral functionality of mobile apps in health interventions: a systematic review of the literature. JMIR Mhealth Uhealth 3(1):e3335

    Article  Google Scholar 

  32. Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (2019) Cochrane handbook for systematic reviews of interventions. Wiley, Hoboken

    Book  Google Scholar 

  33. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Syst Rev 10(1):89. https://doi.org/10.1186/s13643-021-01626-4

    Article  PubMed  PubMed Central  Google Scholar 

  34. Berlin I, Singleton EG, Heishman SJ (2010) Validity of the 12-item French version of the Tobacco Craving Questionnaire in treatment-seeking smokers. Nicotine Tob Res 12(5):500–507. https://doi.org/10.1093/ntr/ntq039

    Article  PubMed  PubMed Central  Google Scholar 

  35. Higgins JPT, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, Savović J, Schulz KF, Weeks L, Sterne JAC (2011) The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ 343:d5928. https://doi.org/10.1136/bmj.d5928

    Article  PubMed  PubMed Central  Google Scholar 

  36. Wan X, Wang W, Liu J, Tong T (2014) Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol 14:135. https://doi.org/10.1186/1471-2288-14-135

    Article  PubMed  PubMed Central  Google Scholar 

  37. Abroms LC, Johnson PR, Leavitt LE, Cleary SD, Bushar J, Brandon TH, Chiang SC (2017) A randomized trial of text messaging for smoking cessation in pregnant women. Am J Prev Med 53(6):781–790. https://doi.org/10.1016/j.amepre.2017.08.002

    Article  PubMed  PubMed Central  Google Scholar 

  38. Camenga DR, Bernstein SL, Dziura J, Fiellin L, Krishnan-Sarin S (2021) Feasibility of text messaging to augment brief advice and nicotine replacement therapy for smoking cessation in college students. J Am Coll Health 69(1):1–8. https://doi.org/10.1080/07448481.2019.1643730

    Article  PubMed  Google Scholar 

  39. Abroms LC, Boal AL, Simmens SJ, Mendel JA, Windsor RA (2014) A randomized trial of Text2Quit: a text messaging program for smoking cessation. Am J Prev Med 47(3):242–250. https://doi.org/10.1016/j.amepre.2014.04.010

    Article  PubMed  PubMed Central  Google Scholar 

  40. Baggett TP, McGlave C, Kruse GR, Yaqubi A, Chang Y, Rigotti NA (2019) SmokefreeTXT for homeless smokers: pilot randomized controlled trial. JMIR Mhealth Uhealth 7(6):e13162. https://doi.org/10.2196/13162

    Article  PubMed  PubMed Central  Google Scholar 

  41. Krishnan N, Elf JL, Chon S, Golub JE (2019) COach2Quit: a pilot randomized controlled trial of a personal carbon monoxide monitor for smoking cessation. Nicotine Tob Res 21(11):1573–1577. https://doi.org/10.1093/ntr/nty182

    Article  PubMed  Google Scholar 

  42. Hébert ET, Ra CK, Alexander AC, Helt A, Moisiuc R, Kendzor DE, Vidrine DJ, Funk-Lawler RK, Businelle MS (2020) A mobile just-in-time adaptive intervention for smoking cessation: pilot randomized controlled trial. J Med Internet Res 22(3):e16907. https://doi.org/10.2196/16907

    Article  PubMed  PubMed Central  Google Scholar 

  43. Benson L, Ra CK, Hébert ET, Kendzor DE, Oliver JA, Frank-Pearce SG, Neil JM, Businelle MS (2022) Quit stage and intervention type differences in the momentary within-person association between negative affect and smoking urges. Front Digit Health 4:864003. https://doi.org/10.3389/fdgth.2022.864003

    Article  PubMed  PubMed Central  Google Scholar 

  44. Schnall R, Liu J, Alvarez G, Porras T, Ganzhorn S, Boerner S, Huang MC, Trujillo P, Cioe P (2022) A smoking cessation mobile app for persons living with HIV: preliminary efficacy and feasibility study. JMIR Form Res 6(8):e28626. https://doi.org/10.2196/28626

    Article  PubMed  PubMed Central  Google Scholar 

  45. Masaki K, Tateno H, Nomura A, Muto T, Suzuki S, Satake K, Hida E, Fukunaga K (2020) A randomized controlled trial of a smoking cessation smartphone application with a carbon monoxide checker. NPJ Digit Med 3:35. https://doi.org/10.1038/s41746-020-0243-5

    Article  PubMed  PubMed Central  Google Scholar 

  46. Gryaznov D, Chammartin F, Stoeckle M, Anagnostopoulos A, Braun DL, Furrer H, Boillat-Blanco N, Bernasconi E, Schmid P, Nordmann A, Bucher HC (2020) Smartphone app and carbon monoxide self-monitoring support for smoking cessation: a randomized controlled trial nested into the Swiss HIV cohort study. J Acquir Immune Defic Syndr 85(1):e8–e11. https://doi.org/10.1097/qai.0000000000002396

    Article  PubMed  Google Scholar 

  47. Herbec A, Lion S, Brown J, Ubhi HK, Beard E, Matei A, West R (2021) Does addition of craving management tools in a stop smoking app improve quit rates among adult smokers? Results from BupaQuit pragmatic pilot randomised controlled trial. Digit Health 7:20552076211058936. https://doi.org/10.1177/20552076211058935

    Article  PubMed  PubMed Central  Google Scholar 

  48. Abroms LC, Chiang S, Macherelli L, Leavitt L, Montgomery M (2017) Assessing the National Cancer Institute’s SmokefreeMOM Text-messaging program for pregnant smokers: pilot randomized trial. J Med Internet Res 19(10):e333. https://doi.org/10.2196/jmir.8411

    Article  PubMed  PubMed Central  Google Scholar 

  49. Meneses-Gaya ICd, Zuardi AW, Loureiro SR, Crippa JAdS (2009) Psychometric properties of the Fagerström test for nicotine dependence. J Bras Pneumol 35:73–82

    Article  PubMed  Google Scholar 

  50. Herbec A, Shahab L, Brown J, Ubhi HK, Beard E, Matei A, West R (2021) Does addition of craving management tools in a stop smoking app improve quit rates among adult smokers? Results from BupaQuit pragmatic pilot randomised controlled trial. Digit Health 7:20552076211058936. https://doi.org/10.1177/20552076211058935

    Article  PubMed  PubMed Central  Google Scholar 

  51. Coleman T (2004) Special groups of smokers. BMJ 328(7439):575–577. https://doi.org/10.1136/bmj.328.7439.575

    Article  PubMed  PubMed Central  Google Scholar 

  52. Vinci C (2020) Cognitive behavioral and mindfulness-based interventions for smoking cessation: a review of the recent literature. Curr Oncol Rep 22(6):1–8

    Article  Google Scholar 

  53. García-Gómez L, Hernández-Pérez A, Noé-Díaz V, Riesco-Miranda JA, Jiménez-Ruiz C (2019) Smoking cessation treatments: current psychological and pharmacological options. Rev Invest Clin 71(1):7–16

    PubMed  Google Scholar 

  54. McClure JB, Bricker J, Mull K, Heffner JL (2020) Comparative effectiveness of group-delivered acceptance and commitment therapy versus cognitive behavioral therapy for smoking cessation: a randomized controlled trial. Nicotine Tob Res 22(3):354–362

    Article  PubMed  Google Scholar 

  55. Marciniak MA, Shanahan L, Rohde J, Schulz A, Wackerhagen C, Kobylińska D, Tuescher O, Binder H, Walter H, Kalisch R (2020) Standalone smartphone cognitive behavioral therapy-based ecological momentary interventions to increase mental health: narrative review. JMIR Mhealth Uhealth 8(11):e19836

    Article  PubMed  PubMed Central  Google Scholar 

  56. Pramana G, Parmanto B, Lomas J, Lindhiem O, Kendall PC, Silk J (2018) Using mobile health gamification to facilitate cognitive behavioral therapy skills practice in child anxiety treatment: open clinical trial. JMIR Serious Games 6(2):e8902

    Article  Google Scholar 

  57. Nugent NR, Pendse SR, Schatten HT, Armey MF (2019) Innovations in technology and mechanisms of change in behavioral interventions. Behav Modif. https://doi.org/10.1177/0145445519845603

    Article  PubMed  Google Scholar 

  58. Burns MN, Begale M, Duffecy J, Gergle D, Karr CJ, Giangrande E, Mohr DC (2011) Harnessing context sensing to develop a mobile intervention for depression. J Med Internet Res 13(3):e1838

    Article  Google Scholar 

  59. Ainsworth J, Palmier-Claus JE, Machin M, Barrowclough C, Dunn G, Rogers A, Buchan I, Barkus E, Kapur S, Wykes T (2013) A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations. J Med Internet Res 15(4):e2328

    Article  Google Scholar 

  60. Berrouiguet S, Baca-García E, Brandt S, Walter M, Courtet P (2016) Fundamentals for future mobile-health (mHealth): a systematic review of mobile phone and web-based text messaging in mental health. J Med Internet Res 18(6):e5066

    Article  Google Scholar 

  61. Rathbone AL, Prescott J (2017) The use of mobile apps and SMS messaging as physical and mental health interventions: systematic review. J Med Internet Res 19(8):e7740

    Article  Google Scholar 

  62. Hall AK, Cole-Lewis H, Bernhardt JM (2015) Mobile text messaging for health: a systematic review of reviews. Annu Rev Public Health 36:393

    Article  PubMed  PubMed Central  Google Scholar 

  63. Aggarwal NK (2012) Applying mobile technologies to mental health service delivery in South Asia. Asian J Psychiatr 5(3):225–230

    Article  PubMed  Google Scholar 

  64. Rogers A, Kirk S, Gately C, May CR, Finch T (2011) Established users and the making of telecare work in long term condition management: implications for health policy. Soc Sci Med 72(7):1077–1084

    Article  PubMed  Google Scholar 

  65. Torous J, Friedman R, Keshavan M (2014) Smartphone ownership and interest in mobile applications to monitor symptoms of mental health conditions. JMIR Mhealth Uhealth 2(1):e2994

    Article  Google Scholar 

  66. Leonard NR, Silverman M, Sherpa DP, Naegle MA, Kim H, Coffman DL, Ferdschneider M (2017) Mobile health technology using a wearable sensorband for female college students with problem drinking: an acceptability and feasibility study. JMIR Mhealth Uhealth 5(7):e7399

    Article  Google Scholar 

  67. Vaessen T, Steinhart H, Batink T, Klippel A, Van Nierop M, Reininghaus U, Myin-Germeys I (2019) ACT in daily life in early psychosis: an ecological momentary intervention approach. Psychos 11(2):93–104

    Article  Google Scholar 

  68. Bakker D, Kazantzis N, Rickwood D, Rickard N (2018) Development and pilot evaluation of smartphone-delivered cognitive behavior therapy strategies for mood- and anxiety-related problems: moodmission. Cogn Behav Pract 25(4):496–514. https://doi.org/10.1016/j.cbpra.2018.07.002

    Article  Google Scholar 

  69. Buhi ER, Trudnak TE, Martinasek MP, Oberne AB, Fuhrmann HJ, McDermott RJ (2013) Mobile phone-based behavioural interventions for health: a systematic review. Health Educ J 72(5):564–583

    Article  Google Scholar 

  70. Dennison L, Morrison L, Conway G, Yardley L (2013) Opportunities and challenges for smartphone applications in supporting health behavior change: qualitative study. J Med Internet Res 15(4):e86. https://doi.org/10.2196/jmir.2583

    Article  PubMed  PubMed Central  Google Scholar 

  71. West R, Hajek P, Stead L, Stapleton J (2005) Outcome criteria in smoking cessation trials: proposal for a common standard. Addiction 100(3):299–303. https://doi.org/10.1111/j.1360-0443.2004.00995.x

    Article  PubMed  Google Scholar 

  72. Bertz JW, Epstein DH, Preston KL (2018) Combining ecological momentary assessment with objective, ambulatory measures of behavior and physiology in substance-use research. Addict Behav 83:5–17. https://doi.org/10.1016/j.addbeh.2017.11.027

    Article  PubMed  Google Scholar 

  73. Wongvibulsin S, Martin SS, Saria S, Zeger SL, Murphy SA (2020) An individualized, data-driven digital approach for precision behavior change. Am J Lifestyle Med 14(3):289–293. https://doi.org/10.1177/1559827619843489

    Article  PubMed  Google Scholar 

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This review received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

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Contributions

HRA designed the study, HRB wrote the protocol and developed the search strategy with HRA. SE conducted literature searches and provided summaries of previous research studies. SE and AHM screened studies based on the inclusion criteria and extracted data from included studies. HRA was consulted in case of disagreements in including studies. SE and AHM conducted the statistical analysis, wrote the first draft of the manuscript, and all authors contributed to and approved the final manuscript.

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Correspondence to Shayan Eghdami.

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There is no ethical problem (approved by the research ethics committee of the Iran University of Medical Sciences) or conflict of interest in our research. There was not any honorarium, grant, or other form of payment to the authors to produce the manuscript.

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Eghdami, S., Ahmadkhaniha, H.R., Baradaran, H.R. et al. Ecological momentary interventions for smoking cessation: a systematic review and meta-analysis. Soc Psychiatry Psychiatr Epidemiol 58, 1431–1445 (2023). https://doi.org/10.1007/s00127-023-02503-2

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