Smartphone-Based Psychotherapeutic Micro-Interventions to Improve Mood in a Real-World Setting
Open accessAbstract
BACKGROUND: Using mobile communication technology as new personalized approach to treat mental disorders or to more generally improve quality of life is highly promising. Knowledge about intervention components that target key psychopathological processes in terms of transdiagnostic psychotherapy approaches is urgently needed. We explored the use of smartphone-based micro-interventions based on psychotherapeutic techniques, guided by short video-clips, to elicit mood changes. METHOD: As part of a larger neurofeedback study, all subjects-after being randomly assigned to an experimental or control neurofeedback condition-underwent daily smartphone-based micro-interventions for 13 consecutive days. They were free to choose out of provided techniques, including viscerosensory attention, emotional imagery, facial expression, and contemplative repetition. Changes in mood were assessed in real world using the Multidimensional Mood State Questionnaire (scales: good-bad, GB; awake-tired, AT; and calm-nervous, CN). RESULTS: Twenty-seven men participated on at least 11 days and were thus included in the analyses. Altogether, they underwent 335, generally well-tolerated, micro-intervention sessions, with viscerosensory attention (178 sessions, 53.13%) and contemplative repetition (68 sessions, 20.30%) being the most frequently applied techniques. Mixed models indicated that subjects showed better mood [GB: b = 0.464, 95%confidence interval (CI) [0.068, 0.860], t (613.3) = 2.298, p = 0.022] and became more awake [AT: b = 0.514, 95%CI [0.103, 0.925], t (612.4) = 2.456, p = 0.014] and calmer [CN: b = 0.685, 95%CI [0.360, 1.010], t (612.3) = 4.137, p < 0.001] from pre- to post-micro-intervention. These mood improvements from pre- to post-micro-intervention were associated with changes in mood from the 1st day until the last day with regard to GB mood (r = 0.614, 95%CI [0.297, 0.809], p < 0.001), but not AT mood (r = 0.279, 95%CI [-0.122, 0.602], p = 0.167) and CN mood (r = 0.277, 95%CI [0.124, 0.601], p = 0.170). DISCUSSION: Our findings provide evidence for the applicability of smartphone-based micro-interventions eliciting short-term mood changes, based on techniques used in psychotherapeutic approaches, such as mindfulness-based psychotherapy, transcendental meditation, and other contemplative therapies. The results encourage exploring these techniques' capability to improve mood in randomized controlled studies and patients. Smartphone-based micro-interventions are promising to modify mood in real-world settings, complementing other psychotherapeutic interventions, in line with the precision medicine approach. The here presented data were collected within a randomized trial, registered at ClinicalTrials.gov (Identifier: NCT01921088) https://clinicaltrials.gov/ct2/show/NCT01921088.
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?
For the nested RCT, assuming a participation rate of 80% and a correlation of 0.5 among repeated measures, the study will have sufficient power (1-β > 0.99) to detect medium effect sizes (f = 0.25).
“Given a maximum of 15 bodily interventions and 15 control interventions per person and assuming a participation rate in daily interventions of 80% (which is a rather conservative estimate, as compared to the previously observed 96% participation rate in an earlier study [51]), we expect on average a total of 24 completed smartphone-triggered interventions per participant. Assuming a correlation of”
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
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369 · 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 assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900 · see citing works
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
Singer, J. D., & Willett, J. B. (2003) · doi:10.1093/acprof:oso/9780195152968.001.0001 · Cited by 10,647 · see citing works
Measuring emotion: The self-assessment manikin and the semantic differential
Bradley, M. M., & Lang, P. J. (1994) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/0005-7916(94)90063-9 · Cited by 9,538 · see citing works
Fitting Linear Mixed-Effects Models Using lme4Preprint
Bates, D. M., Maechler, M., Bolker, B. M., & Walker, S. (2014) · arXiv (Cornell University) · doi:10.3929/ethz-b-000105397 · Cited by 9,435 · see citing works
Murray, C. J. L., Vos, T., Lozano, R., Naghavi, M., Flaxman, A. D., Michaud, C., Ezzati, M., Shibuya, K., Salomon, J. A., Abdalla, S., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61689-4 · Cited by 8,888 · see citing works
Least-Squares Means: The R Package lsmeans
Lenth, R. (2016) · Journal of Statistical Software · doi:10.18637/jss.v069.i01 · Cited by 5,837 · see citing works
A New Initiative on Precision Medicine
Collins, F. S., & Varmus, H. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1500523 · Cited by 5,202 · see citing works
The broaden–and–build theory of positive emotions
Fredrickson, B. L. (2004) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2004.1512 · Cited by 4,214 · see citing works
The size and burden of mental disorders and other disorders of the brain in Europe 2010
Wittchen, H. U., Jacobi, F., Rehm, J., Gustavsson, A., Svensson, M., Jönsson, B., Olesen, J., Allgulander, C., Alonso, J., Faravelli, C., et al. (2011) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2011.07.018 · Cited by 3,754 · see citing works
dplyr: A Grammar of Data Manipulation
Wickham, H., François, R., Henry, L., Müller, K., & Vaughan, D. (2014) · doi:10.32614/cran.package.dplyr · Cited by 3,457 · see citing works
Personalized nutrition by prediction of glycemic responses
Zeevi, D., Korem, T., Zmora, N., Israeli, D., Rothschild, D., Weinberger, A., Ben-Yacov, O., Lador, D., Avnit-Sagi, T., Lotan-Pompan, M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.001 · Cited by 2,929 · see citing works
Disruptive technologies: catching the wave
(1995) · Long Range Planning · doi:10.1016/0024-6301(95)91075-1 · Cited by 2,652 · see citing works
Grand challenges in global mental health
Collins, P. Y., Patel, V., Joestl, S. S., March, D., Insel, T. R., Daar, A. S., Bordin, I. A., Costello, E. J., Durkin, M., Fairburn, C., et al. (2011) · Nature · doi:10.1038/475027a · Cited by 2,043 · see citing works
Blundell, J. E., Baker, J. L., Boyland, E. J., Blaak, E. E., Charzewska, J., Henauw, S. D., Frühbeck, G., González‐Gross, M., Hebebrand, J., Holm, L., et al. (2017) · Obesity Facts · doi:10.1159/000455952 · Cited by 1,980 · see citing works
Distributed Lag Linear and Non-Linear Models in R : The Package dlnm
Gasparrini, A. (2011) · Journal of Statistical Software · doi:10.18637/jss.v043.i08 · Cited by 1,714 · see citing works
Internet-based cognitive behaviour therapy for symptoms of depression and anxiety: A meta-analysis
SPEK, V., CUIJPERS, P., NYKLÍČEK, I., RIPER, H., KEYZER, J., & POP, V. (2007) · Psychological Medicine · doi:10.1017/s0033291706008944 · Cited by 1,586 · see citing works
The economic cost of brain disorders in Europe
Olesen, J., Gustavsson, A., Svensson, M., Wittchen, H., & Jönsson, B. (2012) · European Journal of Neurology · doi:10.1111/j.1468-1331.2011.03590.x · Cited by 1,560 · see citing works
The NIMH Research Domain Criteria (RDoC) Project: Precision Medicine for Psychiatry
Insel, T. R. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.14020138 · Cited by 1,472 · see citing works
Computer-based psychological treatments for depression: A systematic review and meta-analysis
Richards, D., & Richardson, T. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.02.004 · Cited by 1,442 · see citing works
Yardley, L., Morrison, L., Bradbury, K., & Muller, I. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4055 · Cited by 1,442 · see citing works
Internet-Based and Other Computerized Psychological Treatments for Adult Depression: A Meta-Analysis
Andersson, G., & Cuijpers, P. (2009) · Cognitive Behaviour Therapy · doi:10.1080/16506070903318960 · Cited by 1,368 · see citing works
lmerTest: Tests in Linear Mixed Effects Models
Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2013) · doi:10.32614/cran.package.lmertest · Cited by 1,327 · see citing works
Rebooting psychotherapy research and practice to reduce the burden of mental illness
Kazdin, A. E., & Blase, S. L. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691610393527 · Cited by 1,254 · see citing works
A laboratory task for induction of mood states
Velten, E. (1968) · Behaviour Research and Therapy · doi:10.1016/0005-7967(68)90028-4 · Cited by 1,201 · see citing works
Smartphones for smarter delivery of mental health programs: A systematic review
Donker, T., Petrie, K., Proudfoot, J., Clarke, J., Birch, M.-R., & Christensen, H. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2791 · Cited by 1,136 · see citing works
Mobile phone-based interventions for smoking cessation
Whittaker, R., McRobbie, H., Bullen, C., Rodgers, A., & Gu, Y. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006611.pub4 · Cited by 1,079 · see citing works
Andersson, G., Cuijpers, P., Carlbring, P., Riper, H., & Hedman, E. (2014) · World Psychiatry · doi:10.1002/wps.20151 · Cited by 1,077 · see citing works
The impact of guidance on Internet-based mental health interventions — A systematic review
Baumeister, H., Reichler, L., Munzinger, M., & Lin, J. (2014) · Internet Interventions · doi:10.1016/j.invent.2014.08.003 · Cited by 1,037 · 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
Mobile Health Technology Evaluation
Kumar, S., Nilsen, W. J., Abernethy, A., Atienza, A., Patrick, K., Pavel, M., Riley, W. T., Shar, A., Spring, B., Spruijt-Metz, D., et al. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2013.03.017 · Cited by 900 · see citing works
Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments
Bakker, D., Kazantzis, N., Rickwood, D., & Rickard, N. (2016) · JMIR Mental Health · doi:10.2196/mental.4984 · Cited by 886 · see citing works
Control over brain activation and pain learned by using real-time functional MRI
deCharms, R. C., Maeda, F., Glover, G. H., Ludlow, D., Pauly, J. M., Soneji, D., Gabrieli, J. D. E., & Mackey, S. C. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0505210102 · Cited by 876 · see citing works
Schaefer, A., Nils, F., Sanchez, X., & Philippot, P. (2010) · Cognition & Emotion · doi:10.1080/02699930903274322 · Cited by 875 · see citing works
Cuijpers, P., Donker, T., van Straten, A., Li, J., & Andersson, G. (2010) · Psychological Medicine · doi:10.1017/s0033291710000772 · Cited by 832 · see citing works
Harrell, F. E. (2003) · doi:10.32614/cran.package.hmisc · Cited by 753 · see citing works
Zachariae, R., Lyby, M. S., Ritterband, L. M., & O'Toole, M. S. (2016) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2015.10.004 · Cited by 704 · cited 2× · see citing works
“…Harvard Medical School, Boston, MA, USA, 6 Incheon St. Mary’s Hospital, The Catholic University of Korea, Incheon, South Korea Background: Using mobile communication technology as new personalized approach to treat mental disorders or to more generally improve quality of life is highly promising.”
BackgroundMohr, D. C., Burns, M. N., Schueller, S. M., Clarke, G., & Klinkman, M. (2013) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2013.03.008 · Cited by 693 · cited 1× · see citing works
“Keywords: behavioral intervention technology, ehealth, health information technology, information and communication technology, Internet- and mobile-based intervention, mental disorder, mhealth, wireless health”
BackgroundA Smartphone Application to Support Recovery From Alcoholism: A Randomized Clinical Trial
Gustafson, D. H., McTavish, F. M., Chih, M.-Y., Atwood, A. K., Johnson, R. A., Boyle, M. G., Levy, M. S., Driscoll, H., Chisholm, S. M., Dillenburg, L., et al. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.4642 · Cited by 692 · see citing works
Ioannidis, J. P. A. (1998) · JAMA · doi:10.1001/jama.279.4.281 · Cited by 632 · see citing works
Help-seeking behaviour in men and women with common mental health problems: cross-sectional study
Oliver, M. I., Pearson, N., Coe, N., & Gunnell, D. (2005) · British Journal of Psychiatry · doi:10.1192/bjp.186.4.297 · Cited by 558 · see citing works
Newby, J. M., McKinnon, A., Kuyken, W., Gilbody, S., & Dalgleish, T. (2015) · Clinical Psychology Review · doi:10.1016/j.cpr.2015.06.002 · Cited by 545 · cited 11× · see citing works
“…Team, 2015) for all data analyses and statistical testing, including the packages to conduct the mixed models, “lme4” (Bates et al., 2014) and “optimx” (Nash and Varadhan, 2011), as well as further packages, required for data preparation and descriptive statistics “car” (Fox and Weisberg, 2011),…”
MethodInfluentialEbert, D. D., Zarski, A.-C., Christensen, H., Stikkelbroek, Y., Cuijpers, P., Berking, M., & Riper, H. (2015) · PLOS ONE · doi:10.1371/journal.pone.0119895 · Cited by 533 · see citing works
Mohr, D. C., Schueller, S. M., Montague, E., Burns, M. N., & Rashidi, P. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3077 · Cited by 510 · see citing works
Review and evaluation of mindfulness-based iPhone apps
Mani, M., Kavanagh, D. J., Hides, L., & Stoyanov, S. R. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.4328 · Cited by 495 · see citing works
Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia
Ben-Zeev, D., Brenner, C. J., Begale, M., Duffecy, J., Mohr, D. C., & Mueser, K. T. (2014) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu033 · Cited by 493 · see citing works
Imagery rescripting in cognitive behaviour therapy: Images, treatment techniques and outcomes
Holmes, E. A., Arntz, A., & Smucker, M. R. (2007) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2007.10.007 · Cited by 465 · see citing works
Unifying Optimization Algorithms to Aid Software System Users: optimx for R
Nash, J. C., & Varadhan, R. (2011) · Journal of Statistical Software · doi:10.18637/jss.v043.i09 · Cited by 454 · see citing works
Mobile Apps for Bipolar Disorder: A Systematic Review of Features and Content Quality
Nicholas, J., Larsen, M. E., Proudfoot, J., & Christensen, H. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4581 · Cited by 438 · see citing works
Martin, M. (1990) · Clinical Psychology Review · doi:10.1016/0272-7358(90)90075-l · Cited by 418 · see citing works
Positive Interpretation Training: Effects of Mental Imagery Versus Verbal Training on Positive Mood
Holmes, E. A., Mathews, A., Dalgleish, T., & Mackintosh, B. (2006) · Behavior Therapy · doi:10.1016/j.beth.2006.02.002 · Cited by 391 · see citing works
Therapist-supported Internet cognitive behavioural therapy for anxiety disorders in adults
Olthuis, J. V., Watt, M. C., Bailey, K., Hayden, J. A., & Stewart, S. H. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011565.pub2 · Cited by 390 · see citing works
Mobile Therapy: Case Study Evaluations of a Cell Phone Application for Emotional Self-Awareness
Morris, M. E., Kathawala, Q., Leen, T. K., Gorenstein, E. E., Guilak, F., Labhard, M., & Deleeuw, W. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1371 · Cited by 384 · see citing works
CBT for depression: a pilot RCT comparing mobile phone vs. computer
Watts, S., Mackenzie, A., Thomas, C., Griskaitis, A., Mewton, L., Williams, A., & Andrews, G. (2013) · BMC Psychiatry · doi:10.1186/1471-244x-13-49 · Cited by 329 · see citing works
Wilamowska, Z. A., Thompson-Hollands, J., Fairholme, C. P., Ellard, K. K., Farchione, T. J., & Barlow, D. H. (2010) · Depression and Anxiety · doi:10.1002/da.20735 · Cited by 314 · see citing works
Griffiths, K. M., Farrer, L., & Christensen, H. (2010) · Medical Journal of Australia · doi:10.5694/j.1326-5377.2010.tb03685.x · Cited by 303 · see citing works
Mobile, social, and wearable computing and the evolution of psychological practice.
Morris, M. E., & Aguilera, A. (2012) · Professional Psychology Research and Practice · doi:10.1037/a0029041 · Cited by 294 · see citing works
Palmqvist, B., Carlbring, P., & Andersson, G. (2007) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1586/14737167.7.3.291 · Cited by 290 · see citing works
Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace
Shen, N., Levitan, M.-J., Johnson, A., Bender, J. L., Hamilton-Page, M., Jadad, A. (. R., & Wiljer, D. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3713 · Cited by 282 · see citing works
The Effectiveness of Prompts to Promote Engagement With Digital Interventions: A Systematic Review
Alkhaldi, G., Hamilton, F. L., Lau, R., Webster, R., Michie, S., & Murray, E. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4790 · Cited by 273 · see citing works
The self-regulating brain and neurofeedback: experimental science and clinical promise
Thibault, R. T., Lifshitz, M., & Raz, A. (2016) · Cortex · doi:10.1016/j.cortex.2015.10.024 · Cited by 272 · see citing works
Ly, K. H., Trüschel, A., Jarl, L., Magnusson, S., Windahl, T., Johansson, R., Carlbring, P., & Andersson, G. (2014) · BMJ Open · doi:10.1136/bmjopen-2013-003440 · Cited by 269 · see citing works
Rapid, responsive, relevant (R3) research: a call for a rapid learning health research enterprise
Riley, W. T., Glasgow, R. E., Etheredge, L., & Abernethy, A. P. (2013) · Clinical and Translational Medicine · doi:10.1186/2001-1326-2-10 · Cited by 267 · see citing works
Riper, H., Blankers, M., Hadiwijaya, H., Cunningham, J., Clarke, S., Wiers, R., Ebert, D., & Cuijpers, P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099912 · Cited by 265 · see citing works
Kuester, A., Niemeyer, H., & Knaevelsrud, C. (2016) · Clinical Psychology Review · doi:10.1016/j.cpr.2015.11.004 · Cited by 261 · see citing works
Mobile mental health: a challenging research agenda
Olff, M. (2015) · European Journal of Psychotraumatology · doi:10.3402/ejpt.v6.27882 · Cited by 258 · see citing works
Grand Challenges in Digital Health
Kostkova, P. (2015) · Frontiers in Public Health · doi:10.3389/fpubh.2015.00134 · Cited by 227 · see citing works
Franklin, J. C., Fox, K. R., Franklin, C. R., Kleiman, E. M., Ribeiro, J. D., Jaroszewski, A. C., Hooley, J. M., & Nock, M. K. (2016) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000093 · Cited by 217 · see citing works
The digital placebo effect: mobile mental health meets clinical psychiatry
Torous, J., & Firth, J. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00565-9 · Cited by 200 · see citing works
Lindhiem, O., Bennett, C. B., Rosen, D., & Silk, J. (2015) · Behavior Modification · doi:10.1177/0145445515595198 · Cited by 197 · see citing works
Asselbergs, J., Ruwaard, J., Ejdys, M., Schrader, N., Sijbrandij, M., & Riper, H. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5505 · Cited by 192 · see citing works
Newby, J. M., Twomey, C., Yuan Li, S. S., & Andrews, G. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.03.018 · Cited by 189 · see citing works
Preferences for positive psychology exercises
Schueller, S. M. (2010) · The Journal of Positive Psychology · doi:10.1080/17439761003790948 · Cited by 182 · see citing works
Gajecki, M., Berman, A. H., Sinadinovic, K., Rosendahl, I., & Andersson, C. (2014) · Addiction Science & Clinical Practice · doi:10.1186/1940-0640-9-11 · Cited by 179 · see citing works
Shallcross, A. J., Troy, A. S., Boland, M., & Mauss, I. B. (2010) · Behaviour Research and Therapy · doi:10.1016/j.brat.2010.05.025 · Cited by 177 · see citing works
Ly, K. H., Topooco, N., Cederlund, H., Wallin, A., Bergström, J., Molander, O., Carlbring, P., & Andersson, G. (2015) · PLOS ONE · doi:10.1371/journal.pone.0126559 · Cited by 171 · see citing works
Strategies for mHealth Research: Lessons from 3 Mobile Intervention Studies
Ben‐Zeev, D., Schueller, S. M., Begale, M. J., Duffecy, J. L., Kane, J. M., & Mohr, D. C. (2014) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-014-0556-2 · Cited by 167 · see citing works
Continuous Evaluation of Evolving Behavioral Intervention Technologies
Mohr, D. C., Cheung, K., Schueller, S. M., Brown, C. H., & Duan, N. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2013.06.006 · Cited by 166 · see citing works
PopTherapy: Coping with Stress through Pop-Culture
Paredes, P., Giald-Bachrach, R., Czerwinski, M., Roseway, A., Rowan, K., & Hernandez, J. (2014) · Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare · doi:10.4108/icst.pervasivehealth.2014.255070 · Cited by 152 · see citing works
Orme‐Johnson, D. W., & Barnes, V. A. (2013) · The Journal of Alternative and Complementary Medicine · doi:10.1089/acm.2013.0204 · Cited by 150 · see citing works
Reducing eating disorder symptoms and risk factors using the internet: A meta‐analytic review
Melioli, T., Bauer, S., Franko, D. L., Moessner, M., Ozer, F., Chabrol, H., & Rodgers, R. F. (2016) · International Journal of Eating Disorders · doi:10.1002/eat.22477 · Cited by 147 · see citing works
Gender and outpatient mental health service use
Rhodes, A. E., Goering, P. N., To, T. M., & Williams, J. (2002) · Social Science & Medicine · doi:10.1016/s0277-9536(01)00002-8 · Cited by 130 · see citing works
Brief meditation training can improve perceived stress and negative mood.
Lane, J. D., Seskevich, J. E., & Pieper, C. F. (2007) · PubMed · Cited by 126 · see citing works
Current research and trends in the use of smartphone applications for mood disorders
Torous, J., & Powell, A. C. (2015) · Internet Interventions · doi:10.1016/j.invent.2015.03.002 · Cited by 121 · see citing works
pastecs: Package for Analysis of Space-Time Ecological Series
Grosjean, P., & Ibáñez, F. (2002) · doi:10.32614/cran.package.pastecs · Cited by 120 · see citing works
Richards, D., Richardson, T., Timulak, L., & McElvaney, J. (2015) · Internet Interventions · doi:10.1016/j.invent.2015.07.003 · Cited by 111 · cited 3× · see citing works
“7:1112. doi: 10.3389/fpsyg.2016.01112 Smartphone-Based Psychotherapeutic Micro-Interventions to Improve Mood in a Real-World Setting Gunther Meinlschmidt 1, 2, Jong-Hwan Lee 3, Esther Stalujanis 4, Angelo Belardi 4, Minkyung Oh 3, Eun Kyung Jung 3, Hyun-Chul Kim 3, Janine Alfano 1, Seung-Schik Yoo 5, 6 and Marion Tege…”
BackgroundInfluentialThe smart therapist: A look to the future of smartphones and mHealth technologies in psychotherapy.
Clough, B. A., & Casey, L. M. (2015) · Professional Psychology Research and Practice · doi:10.1037/pro0000011 · Cited by 106 · see citing works
Cipresso, P., Serino, S., Villani, D., Repetto, C., Sellitti, L., Albani, G., Mauro, A., Gaggioli, A., & Riva, G. (2012) · Neurocomputing · doi:10.1016/j.neucom.2011.12.027 · Cited by 105 · see citing works
Kim, D., Yoo, S., Tegethoff, M., Meinlschmidt, G., & Lee, J. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00802 · Cited by 103 · see citing works
Self-citationYoo, S., Lee, J., O'Leary, H., Panych, L. P., & Jolesz, F. A. (2008) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.20139 · Cited by 101 · see citing works
Self-citationChoi, S., Kim, S., Yang, J.-S., Lee, J., Joo, C., & Jung, H. (2014) · Sensing and Bio-Sensing Research · doi:10.1016/j.sbsr.2014.08.001 · Cited by 93 · see citing works
Self-citationWhen interoception helps to overcome negative feelings caused by social exclusion
Pollatos, O., Matthias, E., & Keller, J. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00786 · Cited by 87 · see citing works
Effects of self-generated facial expressions on mood.
Kleinke, C. L., Peterson, T. R., & Rutledge, T. R. (1998) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.74.1.272 · Cited by 78 · see citing works
Ito, L. M., Araujo, L. A. D., Tess, V. L. C., de Barros-Neto, T. P., Asbahr, F., & Marks, I. M. (2001) · The British journal of psychiatry : the journal of mental science · doi:10.1192/bjp.178.4.331 · Cited by 68 · see citing works
Alex Brake, C., Sauer-Zavala, S., Boswell, J. F., Gallagher, M. W., Farchione, T. J., & Barlow, D. H. (2016) · Behavior Therapy · doi:10.1016/j.beth.2015.10.008 · Cited by 58 · see citing works
Tegethoff, M., Raul, J., Jamey, C., Khelil, M. B., Ludes, B., & Meinlschmidt, G. (2011) · Biological Psychology · doi:10.1016/j.biopsycho.2011.05.007 · Cited by 54 · see citing works
Self-citationEhrenreich, B., Righter, B., Rocke, D. A., Dixon, L., & Himelhoch, S. (2011) · Journal of Nervous & Mental Disease · doi:10.1097/nmd.0b013e3182349e90 · Cited by 53 · see citing works
McClernon, F. J., & Choudhury, R. R. (2013) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntt054 · Cited by 48 · see citing works
Khelil, M. B., Tegethoff, M., Meinlschmidt, G., Jamey, C., Ludes, B., & Raul, J. (2011) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-011-5172-3 · Cited by 46 · see citing works
Self-citationMixed-Initiative Real-Time Topic Modeling & Visualization for Crisis Counseling
Dinakar, K., Chen, J., Lieberman, H., Picard, R., & Filbin, R. (2015) · Proceedings of the 20th International Conference on Intelligent User Interfaces · doi:10.1145/2678025.2701395 · Cited by 42 · see citing works
Klee, A. S., Stacy, M. A., Rosenheck, R. A., Harkness, L., & Tsai, J. (2016) · Psychiatric Rehabilitation Journal · doi:10.1037/prj0000180 · Cited by 39 · see citing works
Harrison, A. M., & Goozee, R. (2014) · Journal of Mental Health · doi:10.3109/09638237.2013.869575 · Cited by 36 · see citing works
Ahmedani, B. K., Crotty, N., Abdulhak, M. M., & Ondersma, S. J. (2013) · Behavioral Medicine · doi:10.1080/08964289.2013.867827 · Cited by 31 · see citing works
Ioannidis, J. P. A. (2016) · Epidemiology and Psychiatric Sciences · doi:10.1017/s2045796015000888 · Cited by 22 · see citing works
CBT AND THE FUTURE OF PERSONALIZED TREATMENT: A PROPOSAL
Thompson‐Hollands, J., Sauer-Zavala, S. E., & Barlow, D. H. (2014) · Depression and Anxiety · doi:10.1002/da.22301 · Cited by 19 · see citing works
Lin, W., Hu, J., & Gong, Y. (2015) · Social Behavior and Personality An International Journal · doi:10.2224/sbp.2015.43.3.383 · Cited by 12 · see citing works
Fitting Linear Mixed-Effects Models using lme4
Bates, D., Mächler, M., Bolker, B., et al. (2014) · arXiv · doi:10.48550/arxiv.1406.5823
Flagged first, then by citations
2 of the 111 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Singer J. D. Willett J. B. (2003). Applied Longitudinal Data Analysis. Oxford: Oxford University Press.
Cited by
Sorted by citations
Flett, J. A. M., Hayne, H., Riordan, B. C., Thompson, L. M., & Conner, T. S. (2019) · Mindfulness · doi:10.1007/s12671-018-1050-9 · Cited by 338 · see citing works
Digital Behaviour Change Interventions to Break and Form Habits
Pinder, C., Vermeulen, J., Cowan, B. R., & Beale, R. (2018) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3196830 · Cited by 235 · see citing works
Ecological momentary interventions for mental health: A scoping review
Balaskas, A., Schueller, S. M., Cox, A. L., & Doherty, G. (2021) · PLOS ONE · doi:10.1371/journal.pone.0248152 · Cited by 235 · see citing works
Eisenstadt, M., Liverpool, S., Infanti, E., Ciuvat, R. M., & Carlsson, C. (2021) · JMIR Mental Health · doi:10.2196/31170 · Cited by 185 · see citing works
Intervening on psychopathology networks: Evaluating intervention targets through simulations
Lunansky, G., Naberman, J., van Borkulo, C. D., Chen, C., Wang, L., & Borsboom, D. (2021) · Methods · doi:10.1016/j.ymeth.2021.11.006 · Cited by 175 · see citing works
Baumel, A., Fleming, T. M., & Schueller, S. M. (2020) · Journal of Medical Internet Research · doi:10.2196/20631 · Cited by 116 · see citing works
Gamification and serious games in depression care: A systematic mapping study
Dias, L. P. S., Barbosa, J. L. V., & Vianna, H. D. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2017.11.002 · Cited by 112 · see citing works
Computer-Assisted Cognitive-Behavior Therapy and Mobile Apps for Depression and Anxiety
Wright, J. H., Mishkind, M., Eells, T. D., & Chan, S. R. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1031-2 · Cited by 93 · see citing works
Fuller‐Tyszkiewicz, M., Richardson, B., Lewis, V., Linardon, J., Mills, J., Juknaitis, K., Lewis, C., Coulson, K., O’Donnell, R., Arulkadacham, L., et al. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.01.028 · Cited by 85 · see citing works
Bakker, D., & Rickard, N. S. (2019) · Australian Psychologist · doi:10.1111/ap.12383 · Cited by 72 · see citing works
Toward Game-Based Digital Mental Health Interventions: Player Habits and Preferences
Mandryk, R. L., & Birk, M. V. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6906 · Cited by 69 · see citing works
Cognitive performance of breast cancer survivors in daily life: Role of fatigue and depressed mood
Small, B. J., Jim, H., Eisel, S. L., Jacobsen, P. B., & Scott, S. (2019) · Psycho-Oncology · doi:10.1002/pon.5203 · Cited by 63 · see citing works
Kim, H., Tegethoff, M., Meinlschmidt, G., Stalujanis, E., Belardi, A., Jo, S., Lee, J., Kim, D., Yoo, S., & Lee, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.066 · Cited by 52 · see citing works
Self-citationWang, C., Bakhet, M., Roberts, D., Gnani, S., & El-Osta, A. (2020) · Public Health · doi:10.1016/j.puhe.2020.07.007 · Cited by 61 · see citing works
Matheson, E. L., Lewis‐Smith, H., & Diedrichs, P. C. (2020) · Body Image · doi:10.1016/j.bodyim.2020.08.015 · Cited by 40 · see citing works
A meta-analysis of persuasive design, engagement, and efficacy in 92 RCTs of mental health apps
Valentine, L., Hinton, J. D. X., Bajaj, K., Boyd, L., O’Sullivan, S., Sorenson, R. P., Bell, I., Vega, M. S., Liu, P., Peters, W., et al. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01567-5 · Cited by 43 · see citing works
Meinlschmidt, G., Tegethoff, M., Belardi, A., Stalujanis, E., Oh, M., Jung, E., Kim, H., Yoo, S., & Lee, J. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.11.071 · Cited by 25 · see citing works
Self-citationTian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398 · Cited by 23 · see citing works
Matheson, E. L., Smith, H. G., Lewis‐Smith, H., Arbon, R. E., & Diedrichs, P. C. (2021) · New Media & Society · doi:10.1177/1461444821993800 · Cited by 19 · see citing works
Difrancesco, S., Penninx, B. W. J. H., Merikangas, K. R., van Hemert, A. M., Riese, H., & Lamers, F. (2022) · Depression and Anxiety · doi:10.1002/da.23298 · Cited by 19 · see citing works
Slater, H., Waller, R., Briggs, A. M., Lord, S. M., & Smith, A. J. (2024) · Pain · doi:10.1097/j.pain.0000000000003326 · Cited by 15 · see citing works
Grossert, A., Meffert, C., Hess, V., Rochlitz, C., Pless, M., Hunziker, S., Wössmer, B., Geuter, U., Meinlschmidt, G., & Schaefert, R. (2019) · BMC Psychology · doi:10.1186/s40359-019-0357-1 · Cited by 6 · see citing works
“Smartphone bodily interventions are triggered by short audio-clips, as described elsewhere [51].”
BackgroundResultSelf-citationPersson, D. R., Bardram, J. E., & Bækgaard, P. (2024) · Digital Health · doi:10.1177/20552076241245583 · Cited by 7 · see citing works
Schwerdtfeger, A. R., Rominger, C., Weber, B., & Aluani, I. (2020) · Psychophysiology · doi:10.1111/psyp.13709 · Cited by 7 · see citing works
Lewis‐Smith, H., Pegram, G., White, P., Ward, L. M., & Diedrichs, P. C. (2023) · Body Image · doi:10.1016/j.bodyim.2023.08.002 · Cited by 7 · see citing works
Kim, Y., Lee, J., Tegethoff, M., Meinlschmidt, G., Yoo, S., & Lee, J. (2023) · Brain and Cognition · doi:10.1016/j.bandc.2023.106001 · Cited by 5 · see citing works
Self-citationMeinlschmidt, G., & Tegethoff, M. (2017) · Fortschritte der Neurologie · Psychiatrie · doi:10.1055/s-0043-113131 · Cited by 6 · see citing works
Self-citationPine, R., Mbinta, J. F., Morenga, L. T., & Fleming, T. M. (2021) · JMIR Research Protocols · doi:10.2196/31588 · Cited by 6 · see citing works
Jang, S., Seo, Y., Choi, W., & Lee, U. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714208 · Cited by 5 · see citing works
Paraskeva, N., Haywood, S., Anquandah, J. S., White, P., Budhraja, M., Diedrichs, P. C., & Williamson, H. (2025) · Journal of Medical Internet Research · doi:10.2196/66625 · Cited by 5 · see citing works
Schläpfer, S., Astakhov, G., Pawel, S., Eicher, M., Kowatsch, T., Held, L., Witt, C. M., & Barth, J. (2024) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2024.111864 · Cited by 4 · see citing works
Design of a technology-delivered motivational interviewing intervention for youth empowerment
Liu, Z., Warren, J., & Christie, G. (2018) · Australasian Computer Science Week Multiconference (ACSW) · doi:10.1145/3167918.3167934 · Cited by 4 · see citing works
Alqahtani, F., & Orji, R. (2025) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/8111089 · Cited by 14 · see citing works
Episodic Future Thinking as Digital Micro-interventions
Persson, D. R., Yoo, S., Bardram, J. E., Skinner, T. C., & Bækgaard, P. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-48038-6_14 · Cited by 4 · see citing works
Self-citationEmotion-aware Human–Robot Interaction and Social Robots
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502407 · Cited by 4 · see citing works
Intervening on psychopathology networks: Evaluating intervention targets through simulationsPreprint
Lunansky, G., Naberman, J., van Borkulo, C. D., Chen, C., Li, W., & Borsboom, D. (2021) · doi:10.31234/osf.io/sqhje · Cited by 7 · see citing works
Rahrig, H., Ma, L., Brown, K. W., Martelli, A. M., West, S. J., Lasko, E. N., & Chester, D. S. (2023) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-023-01136-x · Cited by 3 · see citing works
Huberty, J. L., Bhuiyan, N., Eckert, R., Larkey, L., Petrov, M., Todd, M., & Mesa, R. (2022) · JMIR Research Protocols · doi:10.2196/39007 · Cited by 3 · see citing works
Persson, D. R., Ramasawmy, M., Khan, N., Banerjee, A., BLANDFORD, A. E., Bardram, J. E., & Bækgaard, P. (2025) · Journal of Medical Internet Research · doi:10.2196/72658 · Cited by 2 · see citing works
Beatty, L., Kemp, E., & Koczwara, B. (2022) · Supportive Care in Cancer · doi:10.1007/s00520-022-07205-0 · Cited by 2 · see citing works
Introduction to Applied Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502400 · Cited by 1 · see citing works
Emotion Recognition in the Wild
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502404 · Cited by 2 · see citing works
Investigating the Relationship Between a Driver’s Psychological Feelings and Biosensor Data
Mostowfi, S., Kim, J. H., & Buttlar, W. G. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-90966-6_22 · Cited by 1 · see citing works
Reinforcement Learning and Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502405 · Cited by 1 · see citing works
Understanding Drivers’ Physiological Responses in Different Road Conditions
Mostowfi, S., & Kim, J. H. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-04987-3_15 · Cited by 1 · see citing works
Aktuelle Entwicklungen in der Psychotherapie: Zeit für eine neue Welle?
Tegethoff, M., & Meinlschmidt, G. (2017) · PSYCH up2date · doi:10.1055/s-0043-101468 · Cited by 1 · see citing works
Self-citationIoT Enhancements for an In-house Calm Computing Environment
Τσουκαλάς, Α., Annor, P. S., Kafeza, E., & Tzes, A. P. (2022) · International Conference on Automation, Robotics and Applications · doi:10.1109/icara55094.2022.9738570 · Cited by 1 · see citing works
Belardi, A., Lee, J., Kim, H., Stalujanis, E., Jung, E., Oh, M., Yoo, S., Pruessner, J. C., Tegethoff, M., & Meinlschmidt, G. (2019) · F1000Research · doi:10.12688/f1000research.19403.1
Self-citationFuture of Affective Computing and Applied Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502411 · Cited by 1 · see citing works
Multimodal Data Collection and Processing for Applied Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502403
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502399
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502412
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502413
Applied Affective Computing in Built Environments
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502409
Machine Learning Approaches for Applied Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502402
Affective Computing for Enhancing Well-Being
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502408
Synthesizing Natural and Believable Emotional Expressions
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502406
Addressing Ethical Issues of Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502410
Emotions as Studied in Psychology and Cognitive Science
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502401
Das Smartphone als Medium in der Psychotherapie
Caplazi, S. (2023) · Psychotherapie-Wissenschaft · doi:10.30820/1664-9583-2023-1-73
Meinlschmidt, G., Grossert, A., Meffert, C., Roemmel, N., Hess, V., Rochlitz, C. F., Pless, M., Hunziker, S., Wössmer, B., Geuter, U., et al. (2023) · JMIR Cancer · doi:10.2196/38515
Self-citationZerth, S. F., Hein, H. J., Glombiewski, J. A., Rief, W., & Riecke, J. (2023) · BMC Digital Health · doi:10.1186/s44247-023-00053-w
Sensory-driven micro-interventions for improved health and wellbeing
Abdalla, Y., Gatti, E., Orlu, M., & Obrist, M. (2025) · Digital Health · doi:10.1177/20552076251408522 · Cited by 1 · see citing works
Smith, H. G., Matheson, E. L., Gentili, C., & Diedrichs, P. C. (2025) · Body Image · doi:10.1016/j.bodyim.2025.102015
Breaking it Down: Micro Goals in Physical Activity Tracking
Gouveia, R., Karapanos, E., & Themistocleous, C. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791066
Luo, J., Qin, N., Li, Y., 秦东仁, Zhu, J., Zhang, H., Zhou, Y., Cheng, Q., Duan, Y., Xie, J., et al. (2026) · doi:10.2196/preprints.100723
Licht-Handler, A. S., Lin, C., Stelzer, E., & Killikelly, C. (2026) · JMIR Research Protocols · doi:10.2196/87021
- Authors
- Meinlschmidt, G., Lee, J.-H., Stalujanis, E., Belardi, A., Oh, M., Jung, E. K., Kim, H.-C., Alfano, J., Yoo, S.-S., & Tegethoff, M.
- Affiliations
- University of Basel (CH)
- Korea University (KR)
- Brigham and Women's Hospital (US)
- Corresponding author
- Tegethoff, Marion
- ORCID
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2016-07-28
- Volume
- 7
- Pages
- 1112-1112
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC4963605
- OpenAlex
- W2477618409
- Cited by
- 68
- References
- 111
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 3 · 2023: 7 · 2022: 22 · 2021: 7 · 2020: 4 · 2019: 8 · 2018: 3 · 2017: 4
- FWCI
- 7.67
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (PZ00P1_137023, 100014_135328)
- National Research Foundation of Korea (2013S1A2A2035364)
- Ministry of Health and Welfare (HI12C1847)
- Ministry of Science, ICT and Future Planning (2015R1A2A2A03004462)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Keywords
- micro-interventions, mood improvement, transdiagnostic psychotherapy, emotional imagery, facial expressions, neurofeedback, mobile mental health, self-guided intervention
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
