Resilient Stress Reactivity Profiles Predict Mental Health Gains from Online Contemplative Training: A Randomized Clinical Trial
Open accessAbstract
Low-dose app-based contemplative interventions for mental health are increasingly popular, but heterogeneity in intervention responses indicates that a personalized approach is needed. We examined whether different longitudinal resilience–vulnerability trajectories, derived over the course of the COVID-19 pandemic, predicted differences in diverse mental health outcomes after mindfulness and socio-emotional dyadic online interventions. The CovSocial project comprised a longitudinal assessment (phase 1) and an open-label efficacy trial (phase 2). A community sample of 253 participants received 12 min daily app-based socio-emotional dyadic or mindfulness-based interventions, with weekly online coaching for 10 weeks. Before and after the intervention, participants completed validated self-report questionnaires assessing mental health. Stress reactivity profiles were derived from seven repeated assessments during the COVID-19 pandemic (January 2020 to March/April 2021) and were categorized into resilient (more plasticity) or vulnerable (less plasticity) stress recovery profiles. After both interventions, only individuals with resilient stress reactivity profiles showed significant improvements in depression symptomatology, trait anxiety, emotion regulation, and stress recovery. Those with vulnerable profiles did not show significant improvements in any outcome. Limitations of this study include the relatively small sample size and potential biases associated with participant dropout. Brief app-based mental interventions may be more beneficial for those with greater levels of stress resiliency and plasticity in response to stressors. More vulnerable individuals might require more intense and personalized intervention formats.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A recent study testing personalization of interventions in the CovSocial project showed that those with greater plasticity could benefit more from brief app-based interventions.
“in a recent study testing personalization of interventions in the CovSocial project, we could show that those with greater plasticity could benefit more from brief app-based interventions [106].”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835 · see citing works
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193146 · Cited by 65,971 · see citing works
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910 · see citing works
A Brief Measure for Assessing Generalized Anxiety Disorder: The GAD-7
Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.10.1092 · Cited by 31,765 · see citing works
Simultaneous Inference in General Parametric Models
Hothorn, T., Bretz, F., & Westfall, P. H. (2008) · Biometrical Journal · doi:10.1002/bimj.200810425 · Cited by 13,950 · see citing works
Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC)
Connor, K. M., & Davidson, J. R. T. (2003) · Depression and Anxiety · doi:10.1002/da.10113 · Cited by 11,793 · see citing works
Beck, A. T., Steer, R. A., & Brown, G. (2011) · PsycTESTS Dataset · doi:10.1037/t00742-000 · Cited by 7,535 · see citing works
The brief resilience scale: Assessing the ability to bounce back
Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008) · International Journal of Behavioral Medicine · doi:10.1080/10705500802222972 · Cited by 6,439 · see citing works
Mindfulness-based therapy: a comprehensive meta-analysis
Khoury, B., Lecomte, T., Fortin, G., Masse, M., Therien, P., Bouchard, V., Chapleau, M.-A., Paquin, K., & Hofmann, S. G. (2013) · Clinical Psychology Review · doi:10.1016/j.cpr.2013.05.005 · Cited by 2,003 · see citing works
Stress- and Allostasis-Induced Brain Plasticity
McEwen, B. S., & Gianaros, P. J. (2011) · Annual Review of Medicine · doi:10.1146/annurev-med-052209-100430 · Cited by 1,171 · see citing works
Mindfulness-based interventions for psychiatric disorders: A systematic review and meta-analysis
Goldberg, S. B., Tucker, R. P., Greene, P. A., Davidson, R. J., Wampold, B. E., Kearney, D. J., & Simpson, T. L. (2018) · Clinical Psychology Review · doi:10.1016/j.cpr.2017.10.011 · Cited by 1,145 · see citing works
Spijkerman, M. P. J., Pots, W. T. M., & Bohlmeijer, E. T. (2016) · Clinical Psychology Review · doi:10.1016/j.cpr.2016.03.009 · Cited by 975 · see citing works
Kaufman, E. A., Xia, M., Fosco, G., Yaptangco, M., Skidmore, C. R., & Crowell, S. E. (2016) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-015-9529-3 · Cited by 960 · see citing works
Mechanisms of mindfulness training: Monitor and Acceptance Theory (MAT
Lindsay, E. K., & Creswell, J. D. (2017) · Clinical Psychology Review · doi:10.1016/j.cpr.2016.10.011 · Cited by 919 · see citing works
Galatzer-Levy, I. R., Huang, S. H., & Bonanno, G. A. (2018) · Clinical Psychology Review · doi:10.1016/j.cpr.2018.05.008 · Cited by 878 · see citing works
A conceptual framework for the neurobiological study of resilience
Kalisch, R., Müller, M. B., & Tüscher, O. (2015) · Behavioral and Brain Sciences · doi:10.1017/s0140525x1400082x · Cited by 669 · see citing works
Goldberg, S. B., Riordan, K. M., Sun, S., & Davidson, R. J. (2022) · Perspectives on Psychological Science · doi:10.1177/1745691620968771 · Cited by 520 · cited 1× · see citing works
“However, despite promising findings, small-to-medium effect sizes indicate heterogeneity in responses to these interventions, suggesting that perhaps some individuals might benefit more than others [9–11].”
BackgroundInsel, T. R. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2008.540 · Cited by 459 · see citing works
Personalized Medicine for Depression: Can We Match Patients With Treatments?
Simon, G. E., & Perlis, R. H. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09111680 · Cited by 365 · cited 1× · see citing works
“Contrastingly, the compensation approach would suggest that those who show less plasticity over time in response to stressors are those who can profit more from mental training, with empirical support showing that baseline deficiencies predict greater treatment benefits [22,23].”
BackgroundBornemann, B., Herbert, B. M., Mehling, W. E., & Singer, T. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01504 · Cited by 349 · cited 1× · see citing works
“Contrastingly, the compensation approach would suggest that those who show less plasticity over time in response to stressors are those who can profit more from mental training, with empirical support showing that baseline deficiencies predict greater treatment benefits [22,23].”
BackgroundSelf-citationIn pursuit of resilience: stress, epigenetics, and brain plasticity
McEwen, B. S. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13020 · Cited by 299 · see citing works
Cheavens, J. S., Strunk, D. R., Lazarus, S. A., & Goldstein, L. A. (2012) · Behaviour Research and Therapy · doi:10.1016/j.brat.2012.08.002 · Cited by 191 · cited 1× · see citing works
“Such a view would align with empirical findings supporting the capitalization view of treat-ment gains, i.e., those with existing strengths are able to capitalize on them to reap greater benefits from a treatment [20,21].”
Jayawardene, W. P., Lohrmann, D. K., Erbe, R. G., & Torabi, M. R. (2017) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2016.11.013 · Cited by 185 · see citing works
Sommers-Spijkerman, M., Austin, J., Bohlmeijer, E., & Pots, W. (2021) · JMIR Mental Health · doi:10.2196/28168 · Cited by 179 · see citing works
Wittchen, H. ‐., Höfler, M., Gander, F., Pfister, H., Storz, S., Üstün, B., Müller, N., & Kessler, R. C. (1999) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.57 · Cited by 149 · see citing works
Everaert, J., & Joormann, J. (2019) · Clinical Psychological Science · doi:10.1177/2167702619859342 · Cited by 119 · see citing works
Kok, B. E., & Singer, T. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.3360 · Cited by 99 · see citing works
Self-citationRude, S. S., & Rehm, L. P. (1991) · Clinical Psychology Review · doi:10.1016/0272-7358(91)90001-b · Cited by 94 · cited 3× · see citing works
“Although we tried to control this aspect of the self-selection bias through our use of a randomized controlled study design and the inclusion of demographic variables as covariates in our statistical analyses, self-selection bias cannot be ruled out.”
BackgroundMethodWasil, A. R., Gillespie, S., Patel, R., Petre, A., Venturo-Conerly, K. E., Shingleton, R. M., Weisz, J. R., & DeRubeis, R. J. (2020) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000604 · Cited by 89 · see citing works
Witarto, B. S., Visuddho, V., Witarto, A. P., Bestari, D., Sawitri, B., Melapi, T. A. S., & Wungu, C. D. K. (2022) · PLOS ONE · doi:10.1371/journal.pone.0274177 · Cited by 89 · see citing works
A common factors perspective on mindfulness-based interventions
Goldberg, S. B. (2022) · Nature Reviews Psychology · doi:10.1038/s44159-022-00090-8 · Cited by 75 · cited 1× · see citing works
“Thus far, however, most studies have investigated time-stable moderators of intervention responses, such as personality traits, socio-demographic variables, dispositional mindfulness and response styles, or baseline symptom levels [8,10,13].”
BackgroundThe history, current status, and possible future of precision mental health
DeRubeis, R. J. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103506 · Cited by 46 · see citing works
Godara, M., Silveira, S., Matthäus, H., Heim, C., Voelkle, M., Hecht, M., Binder, E. B., & Singer, T. (2021) · PLOS ONE · doi:10.1371/journal.pone.0256323 · Cited by 38 · see citing works
Self-citationRek, K., Thielmann, I., Henkel, M., Crawford, M., Piccirilli, L., Graff, A., Mestel, R., & Zimmermann, J. (2020) · Psychological Assessment · doi:10.1037/pas0000926 · Cited by 31 · see citing works
Godara, M., Silveira, S., Matthaeus, H., & Singer, T. (2022) · Adversity and Resilience Science · doi:10.1007/s42844-022-00069-7 · Cited by 27 · see citing works
Self-citationWebb, C. A., Hirshberg, M. J., Davidson, R. J., & Goldberg, S. B. (2022) · Journal of Medical Internet Research · doi:10.2196/41566 · Cited by 27 · see citing works
Investigating Moderators of Compassion Meditation Training in a Community Sample
Goldin, P. R., & Jazaieri, H. (2017) · Mindfulness · doi:10.1007/s12671-017-0857-0 · Cited by 19 · see citing works
Godara, M., Hecht, M., & Singer, T. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.03.037 · Cited by 12 · see citing works
Self-citationGodara, M., Rademacher, J., Hecht, M., Silveira, S., Voelkle, M. C., & Singer, T. (2023) · Healthcare · doi:10.3390/healthcare11091305 · Cited by 11 · cited 2× · see citing works
“We employed longitudinal resilience and vulnerability profiles, generated over the course of the COVID-19 pandemic and associated lockdowns [17], to predict who would show greater mental health benefits after online mindfulness-based and socio-emotional partner-based interventions [18].”
BackgroundMethodSelf-citationWebb, C. A., Hirshberg, M. J., González, O., Davidson, R. J., & Goldberg, S. B. (2023) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000842 · Cited by 6 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [31]Spielberger C.D. State-Trait Anxiety Inventory The Corsini Encyclopedia of Psychology John Wiley & Sons, Inc. Hoboken, NJ, USA 2010
Cited by
Sorted by citations
A neuroscience perspective on the plasticity of the social and relational brain
Singer, T. (2025) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.15319 · Cited by 15 · see citing works
Self-citationGodara, M., & Singer, T. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13113295 · Cited by 5 · see citing works
“For example, in a recent study testing personalization of interventions in the CovSocial project, we could show that those with greater plasticity could benefit more from brief app-based interventions [106].”
BackgroundSelf-citationAliberti, S. M., Capunzo, M., & Funk, R. H. W. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26167887 · Cited by 4 · see citing works
Dai, J., Xia, X., & Xue, D. (2026) · Behavioral Sciences · doi:10.3390/bs16060894 · Cited by 1 · see citing works
Caring Economics und Entrepreneurship
Singer, T. (2025) · Springer eBooks · doi:10.1007/978-3-658-48710-2_41 · Cited by 1 · see citing works
Self-citationCaring Economics und Entrepreneurship
Singer, T. (2025) · Springer eBooks · doi:10.1007/978-3-658-05263-8_41-1
Self-citation
- Authors
- Godara, M., & Singer, T.
- Affiliations
- Max Planck Society (DE)
- Corresponding author
- Godara, Malvika
- Venue
- Journal of Personalized Medicine
- Publisher
- MDPI AG
- Published
- 2024-05-04
- Volume
- 14
- Issue
- 5
- Pages
- 493
- ISSN
- 2075-4426 (ISSN-L)
- PMC
- PMC11121773
- OpenAlex
- W4396665916
- Cited by
- 6
- References
- 40
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 1
- FWCI
- 3.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Personalized Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Social Neuroscience Lab of the Max Planck Society, Germany (114_GC_Pandemie_23)
- Berlin University Alliance (114_GC_Pandemie_23)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Keywords
- stress reactivity, resilience, stress recovery, mindfulness training, online coaching, personalized interventions, depression, trait anxiety, emotion regulation, COVID-19 pandemic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review