Dynamic Modelling of Mental Resilience in Young Adults: Protocol for a Longitudinal Observational Study (DynaM-OBS)

Carolin Wackerhagen^#¹, Ilya M Veer^#^{1

2}, Judith M C van Leeuwen^#³, Zala Reppmann^#¹, Antje Riepenhausen^#^{1

4}, Sophie A Bögemann³, Netali Mor^{5

6}, Lara M C Puhlmann^{7

8}, Aleksandra Uściƚko⁹, Matthias Zerban¹⁰, Julian Mituniewicz⁹, Avigail Lerner^{5

11}, Kenneth S L Yuen^{7

10}, Göran Köber^{12

13}, Marta A Marciniak^{14

15}, Shakoor Pooseh¹³, Jeroen Weermeijer¹⁶, Alejandro Arias-Vásquez³, Harald Binder^{12

13}, Walter de Raedt¹⁷, Birgit Kleim^{14

15}, Inez Myin-Germeys¹⁶, Karin Roelofs^{3

18}, Jens Timmer^{13

19

20}, Oliver Tüscher^{7

21}, Talma Hendler^#^{5

6

11

22}, Dorota Kobylińska^#⁹, Erno J Hermans^#³, Raffael Kalisch^#^{7

10}, Henrik Walter^#^{1

4}

Affiliations

¹ Research Division of Mind and Brain, Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
² Department of Developmental Psychology, University of Amsterdam, Amsterdam, Netherlands.
³ Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, Netherlands.
⁴ Faculty of Philosophy, Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany.
⁵ Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
⁶ Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
⁷ Leibniz Institute for Resilience Research, Mainz, Germany.
⁸ Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
⁹ Faculty of Psychology, University of Warsaw, Warsaw, Poland.
¹⁰ Neuroimaging Center, Focus Program Translational Neuroscience, Johannes Gutenberg University Medical Center, Mainz, Germany.
¹¹ Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
¹² Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
¹³ Freiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany.
¹⁴ Division of Experimental Psychopathology and Psychotherapy, Department of Psychology, University of Zurich, Zurich, Switzerland.
¹⁵ Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital, University of Zurich, Zurich, Switzerland.
¹⁶ Center for Contextual Psychiatry, Department of Neurosciences, Katholieke Universiteit Leuven, Leuven, Belgium.
¹⁷ Stichting imec Nederland, Holst Centre, Eindhoven, Netherlands.
¹⁸ Behavioural Science Institute, Radboud University, Nijmegen, Netherlands.
¹⁹ Institute of Physics, University of Freiburg, Freiburg, Germany.
²⁰ Centre for Biological Signalling Studies and Centre for Integrative Biological Signalling Studies, University of Freiburg, Freiburg, Germany.
²¹ Department of Psychiatry and Psychotherapy, Johannes Gutenberg University Medical Center, Mainz, Germany.
²² School of Psychological Science, Tel Aviv University, Tel Aviv, Israel.

^# Contributed equally.

PMID: 37402143
PMCID: PMC10354714
DOI: 10.2196/39817

Dynamic Modelling of Mental Resilience in Young Adults: Protocol for a Longitudinal Observational Study (DynaM-OBS)

Carolin Wackerhagen et al. JMIR Res Protoc. 2023.

. 2023 Jul 4:12:e39817.

doi: 10.2196/39817.

Authors

Affiliations

¹ Research Division of Mind and Brain, Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
² Department of Developmental Psychology, University of Amsterdam, Amsterdam, Netherlands.
³ Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, Netherlands.
⁴ Faculty of Philosophy, Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany.
⁵ Sagol Brain Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
⁶ Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
⁷ Leibniz Institute for Resilience Research, Mainz, Germany.
⁸ Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
⁹ Faculty of Psychology, University of Warsaw, Warsaw, Poland.
¹⁰ Neuroimaging Center, Focus Program Translational Neuroscience, Johannes Gutenberg University Medical Center, Mainz, Germany.
¹¹ Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.
¹² Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
¹³ Freiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany.
¹⁴ Division of Experimental Psychopathology and Psychotherapy, Department of Psychology, University of Zurich, Zurich, Switzerland.
¹⁵ Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital, University of Zurich, Zurich, Switzerland.
¹⁶ Center for Contextual Psychiatry, Department of Neurosciences, Katholieke Universiteit Leuven, Leuven, Belgium.
¹⁷ Stichting imec Nederland, Holst Centre, Eindhoven, Netherlands.
¹⁸ Behavioural Science Institute, Radboud University, Nijmegen, Netherlands.
¹⁹ Institute of Physics, University of Freiburg, Freiburg, Germany.
²⁰ Centre for Biological Signalling Studies and Centre for Integrative Biological Signalling Studies, University of Freiburg, Freiburg, Germany.
²¹ Department of Psychiatry and Psychotherapy, Johannes Gutenberg University Medical Center, Mainz, Germany.
²² School of Psychological Science, Tel Aviv University, Tel Aviv, Israel.

^# Contributed equally.

PMID: 37402143
PMCID: PMC10354714
DOI: 10.2196/39817

Abstract

Background: Stress-related mental disorders are highly prevalent and pose a substantial burden on individuals and society. Improving strategies for the prevention and treatment of mental disorders requires a better understanding of their risk and resilience factors. This multicenter study aims to contribute to this endeavor by investigating psychological resilience in healthy but susceptible young adults over 9 months. Resilience is conceptualized in this study as the maintenance of mental health or quick recovery from mental health perturbations upon exposure to stressors, assessed longitudinally via frequent monitoring of stressors and mental health.

Objective: This study aims to investigate the factors predicting mental resilience and adaptive processes and mechanisms contributing to mental resilience and to provide a methodological and evidence-based framework for later intervention studies.

Methods: In a multicenter setting, across 5 research sites, a sample with a total target size of 250 young male and female adults was assessed longitudinally over 9 months. Participants were included if they reported at least 3 past stressful life events and an elevated level of (internalizing) mental health problems but were not presently affected by any mental disorder other than mild depression. At baseline, sociodemographic, psychological, neuropsychological, structural, and functional brain imaging; salivary cortisol and α-amylase levels; and cardiovascular data were acquired. In a 6-month longitudinal phase 1, stressor exposure, mental health problems, and perceived positive appraisal were monitored biweekly in a web-based environment, while ecological momentary assessments and ecological physiological assessments took place once per month for 1 week, using mobile phones and wristbands. In a subsequent 3-month longitudinal phase 2, web-based monitoring was reduced to once a month, and psychological resilience and risk factors were assessed again at the end of the 9-month period. In addition, samples for genetic, epigenetic, and microbiome analyses were collected at baseline and at months 3 and 6. As an approximation of resilience, an individual stressor reactivity score will be calculated. Using regularized regression methods, network modeling, ordinary differential equations, landmarking methods, and neural net-based methods for imputation and dimension reduction, we will identify the predictors and mechanisms of stressor reactivity and thus be able to identify resilience factors and mechanisms that facilitate adaptation to stressors.

Results: Participant inclusion began in October 2020, and data acquisition was completed in June 2022. A total of 249 participants were assessed at baseline, 209 finished longitudinal phase 1, and 153 finished longitudinal phase 2.

Conclusions: The Dynamic Modelling of Resilience-Observational Study provides a methodological framework and data set to identify predictors and mechanisms of mental resilience, which are intended to serve as an empirical foundation for future intervention studies.

International registered report identifier (irrid): DERR1-10.2196/39817.

Keywords: ecological momentary assessment; longitudinal; mental health; mobile phone; neuroimaging; prospective; resilience; resilience factors; stress; stress disorders; stressor reactivity.

©Carolin Wackerhagen, Ilya M Veer, Judith M C van Leeuwen, Zala Reppmann, Antje Riepenhausen, Sophie A Bögemann, Netali Mor, Lara M C Puhlmann, Aleksandra Uściƚko, Matthias Zerban, Julian Mituniewicz, Avigail Lerner, Kenneth S L Yuen, Göran Köber, Marta A Marciniak, Shakoor Pooseh, Jeroen Weermeijer, Alejandro Arias-Vásquez, Harald Binder, Walter de Raedt, Birgit Kleim, Inez Myin-Germeys, Karin Roelofs, Jens Timmer, Oliver Tüscher, Talma Hendler, Dorota Kobylińska, Erno J Hermans, Raffael Kalisch, Henrik Walter. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 04.07.2023.

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Conflict of interest statement

Conflicts of Interest: RK receives advisory honoraria from JoyVentures, Herzlia, Israel. All other authors declare that they have no conflicts of interest.

References

1. Olesen J, Gustavsson A, Svensson M, Wittchen H, Jönsson B, CDBE2010 study group. European Brain Council The economic cost of brain disorders in Europe. Eur J Neurol. 2012 Jan;19(1):155–62. doi: 10.1111/j.1468-1331.2011.03590.x. doi: 10.1111/j.1468-1331.2011.03590.x. - DOI - DOI - PubMed
1. Vos T, Flaxman AD, Naghavi M, Lozano R, Michaud C, Ezzati M, Shibuya K, Salomon JA, Abdalla S, Aboyans V, Abraham J, Ackerman I, Aggarwal R, Ahn SY, Ali MK, Alvarado M, Anderson HR, Anderson LM, Andrews KG, Atkinson C, Baddour LM, Bahalim AN, Barker-Collo S, Barrero LH, Bartels DH, Basáñez M-G, Baxter A, Bell ML, Benjamin EJ, Bennett D, Bernabé E, Bhalla K, Bhandari B, Bikbov B, Bin Abdulhak A, Birbeck G, Black JA, Blencowe H, Blore JD, Blyth F, Bolliger I, Bonaventure A, Boufous S, Bourne R, Boussinesq M, Braithwaite T, Brayne C, Bridgett L, Brooker S, Brooks P, Brugha TS, Bryan-Hancock C, Bucello C, Buchbinder R, Buckle G, Budke CM, Burch M, Burney P, Burstein R, Calabria B, Campbell B, Canter CE, Carabin H, Carapetis J, Carmona L, Cella C, Charlson F, Chen H, Cheng AT, Chou D, Chugh SS, Coffeng LE, Colan SD, Colquhoun S, Colson KE, Condon J, Connor MD, Cooper LT, Corriere M, Cortinovis M, de Vaccaro KC, Couser W, Cowie BC, Criqui MH, Cross M, Dabhadkar KC, Dahiya M, Dahodwala N, Damsere-Derry J, Danaei G, Davis A, De Leo D, Degenhardt L, Dellavalle R, Delossantos A, Denenberg J, Derrett S, Des Jarlais DC, Dharmaratne SD, Dherani M, Diaz-Torne C, Dolk H, Dorsey ER, Driscoll T, Duber H, Ebel B, Edmond K, Elbaz A, Ali SE, Erskine H, Erwin PJ, Espindola P, Ewoigbokhan SE, Farzadfar F, Feigin V, Felson DT, Ferrari A, Ferri CP, Fèvre E, Finucane MM, Flaxman S, Flood L, Foreman K, Forouzanfar MH, Fowkes FG, Franklin R, Fransen M, Freeman MK, Gabbe BJ, Gabriel SE, Gakidou E, Ganatra HA, Garcia B, Gaspari F, Gillum RF, Gmel G, Gosselin R, Grainger R, Groeger J, Guillemin F, Gunnell D, Gupta R, Haagsma J, Hagan H, Halasa YA, Hall W, Haring D, Haro JM, Harrison JE, Havmoeller R, Hay RJ, Higashi H, Hill C, Hoen B, Hoffman H, Hotez PJ, Hoy D, Huang JJ, Ibeanusi SE, Jacobsen KH, James SL, Jarvis D, Jasrasaria R, Jayaraman S, Johns N, Jonas JB, Karthikeyan G, Kassebaum N, Kawakami N, Keren A, Khoo J, King CH, Knowlton LM, Kobusingye O, Koranteng A, Krishnamurthi R, Lalloo R, Laslett LL, Lathlean T, Leasher JL, Lee YY, Leigh J, Lim SS, Limb E, Lin JK, Lipnick M, Lipshultz SE, Liu W, Loane M, Ohno SL, Lyons R, Ma J, Mabweijano J, MacIntyre MF, Malekzadeh R, Mallinger L, Manivannan S, Marcenes W, March L, Margolis DJ, Marks GB, Marks R, Matsumori A, Matzopoulos R, Mayosi BM, McAnulty JH, McDermott MM, McGill N, McGrath J, Medina-Mora ME, Meltzer M, Mensah GA, Merriman TR, Meyer A, Miglioli V, Miller M, Miller TR, Mitchell PB, Mocumbi AO, Moffitt TE, Mokdad AA, Monasta L, Montico M, Moradi-Lakeh M, Moran A, Morawska L, Mori R, Murdoch ME, Mwaniki MK, Naidoo K, Nair MN, Naldi L, Narayan KM, Nelson PK, Nelson RG, Nevitt MC, Newton CR, Nolte S, Norman P, Norman R, O'Donnell M, O'Hanlon S, Olives C, Omer SB, Ortblad K, Osborne R, Ozgediz D, Page A, Pahari B, Pandian JD, Rivero AP, Patten SB, Pearce N, Padilla RP, Perez-Ruiz F, Perico N, Pesudovs K, Phillips D, Phillips MR, Pierce K, Pion S, Polanczyk GV, Polinder S, Pope CA, Popova S, Porrini E, Pourmalek F, Prince M, Pullan RL, Ramaiah KD, Ranganathan D, Razavi H, Regan M, Rehm JT, Rein DB, Remuzzi G, Richardson K, Rivara FP, Roberts T, Robinson C, De Leòn FR, Ronfani L, Room R, Rosenfeld LC, Rushton L, Sacco RL, Saha S, Sampson U, Sanchez-Riera L, Sanman E, Schwebel DC, Scott JG, Segui-Gomez M, Shahraz S, Shepard DS, Shin H, Shivakoti R, Singh D, Singh GM, Singh JA, Singleton J, Sleet DA, Sliwa K, Smith E, Smith JL, Stapelberg NJ, Steer A, Steiner T, Stolk WA, Stovner LJ, Sudfeld C, Syed S, Tamburlini G, Tavakkoli M, Taylor HR, Taylor JA, Taylor WJ, Thomas B, Thomson WM, Thurston GD, Tleyjeh IM, Tonelli M, Towbin JA, Truelsen T, Tsilimbaris MK, Ubeda C, Undurraga EA, van der Werf M J, van Os J, Vavilala MS, Venketasubramanian N, Wang M, Wang W, Watt K, Weatherall DJ, Weinstock MA, Weintraub R, Weisskopf MG, Weissman MM, White RA, Whiteford H, Wiersma ST, Wilkinson JD, Williams HC, Williams SR, Witt E, Wolfe F, Woolf AD, Wulf S, Yeh P, Zaidi AK, Zheng Z, Zonies D, Lopez AD, Murray CJ, AlMazroa MA, Memish ZA. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012 Dec 15;380(9859):2163–96. doi: 10.1016/S0140-6736(12)61729-2. https://europepmc.org/abstract/MED/23245607 S0140-6736(12)61729-2 - DOI - PMC - PubMed
1. GBD 2016 DALYsHALE Collaborators Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017 Sep 16;390(10100):1260–344. doi: 10.1016/S0140-6736(17)32130-X. https://linkinghub.elsevier.com/retrieve/pii/S0140-6736(17)32130-X S0140-6736(17)32130-X - DOI - PMC - PubMed
1. Gradus JL. Prevalence and prognosis of stress disorders: a review of the epidemiologic literature. Clin Epidemiol. 2017;9:251–60. doi: 10.2147/CLEP.S106250. https://europepmc.org/abstract/MED/28496365 clep-9-251 - DOI - PMC - PubMed
1. Walker ER, McGee RE, Druss BG. Mortality in mental disorders and global disease burden implications: a systematic review and meta-analysis. JAMA Psychiatry. 2015 Apr;72(4):334–41. doi: 10.1001/jamapsychiatry.2014.2502. https://europepmc.org/abstract/MED/25671328 2110027 - DOI - PMC - PubMed

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Dynamic Modelling of Mental Resilience in Young Adults: Protocol for a Longitudinal Observational Study (DynaM-OBS)

Affiliations

Dynamic Modelling of Mental Resilience in Young Adults: Protocol for a Longitudinal Observational Study (DynaM-OBS)

Authors

Affiliations

Abstract

Conflict of interest statement

References

LinkOut - more resources

Full Text Sources

Research Materials

Miscellaneous