Experience sampling and ecological momentary assessment studies in psychopharmacology: A systematic review
Abstract
Experience sampling methods (ESM) and ecological momentary assessment (EMA) offer insight into daily life experiences, including symptoms of mental disorders. The application of ESM/EMA in psychopharmacology can be a valuable addition to more traditional measures such as retrospective self-report questionnaires because they may help reveal the impact of psychotropic medication on patients' actual experiences. In this paper we systematically review the existing literature on the use of ESM/EMA in psychopharmacology research. To this end, we searched the PsycInfo and Medline databases for all available ESM/EMA studies on the use of psychotropic medication in patients with DSM-III-R and DSM-IV disorders. Dissertations were excluded. We included 18 studies that applied ESM/EMA to study the effects of medication on patients with major depressive disorder, substance use disorder, attention-deficit hyperactivity disorder, psychotic disorder, and anxiety disorder. We found that ESM/EMA may allow researchers and clinicians to track patients during different phases of treatment: before treatment to predict outcome, during treatment to examine the effects of treatment on symptoms and different aspects of daily life experience, and after treatment to detect vulnerability for relapse. Moreover, ESM/EMA can potentially help determine how long and in what contexts medications are effective. Thus, ESM/EMA may benefit both researchers and clinicians and might prove to be an effective tool for improving the treatment of psychiatric patients.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
The adherence rates and overall response rate (≈87% for all possible cognitive assessments) are in keeping with previous compliance rates (50%-90%) reported in high-frequency assessments in psychopharmacology.
“These adherence rates, as well as the overall rate of responding to high-frequency assessments in the current study (≈87% for all possible cognitive assessments), are in keeping with previous compliance rates reported in high-frequency assessments in psychopharmacology, around 50% to 90% [45].”
From Wearable technology for high-frequency cognitive and mood assessment in major depressive disorder: longitudinal observational study (2019) · cites this paper as [45]
This study was significantly longer in duration than most previous high-frequency assessment studies, spanning 6 weeks rather than the typical 1- to 2-week duration, and the daily frequency of assessment was lower, with most other studies typically sampling 5 to 10 times per day.
“However, it is notable that although this study was significantly longer in duration than most previous high-frequency assessment studies, spanning 6 weeks rather than the typical 1- to 2-week duration, the daily frequency of assessment was lower, with most other studies typically sampling 5 to 10 times per day [45].”
From Wearable technology for high-frequency cognitive and mood assessment in major depressive disorder: longitudinal observational study (2019) · cites this paper as [45]
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,841 · see citing works
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823 · see citing works
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859 · see citing works
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433 · see citing works
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.06.005 · Cited by 19,575 · see citing works
Diagnostic and Statistical Manual of Mental Disorders ( DSM ‐ IV ‐ TR )
Segal, D. L. (2010) · Wiley eBooks · doi:10.1002/9780470479216.corpsy0271 · Cited by 4,683 · see citing works
Molenaar, P. C. M. (2004) · Measurement: Interdisciplinary Research & Perspective · doi:10.1207/s15366359mea0204_1 · Cited by 1,943 · see citing works
Heron, K. E., & Smyth, J. M. (2010) · British Journal of Health Psychology · doi:10.1348/135910709x466063 · Cited by 1,438 · see citing works
Patient non-compliance with paper diaries
Stone, A. A., Shiffman, S., Schwartz, J. E., Broderick, J. E., & Hufford, M. R. (2002) · BMJ · doi:10.1136/bmj.324.7347.1193 · Cited by 810 · see citing works
Ecological momentary assessment (EMA) in studies of substance use.
Shiffman, S. S. (2009) · Psychological Assessment · doi:10.1037/a0017074 · Cited by 764 · see citing works
Gwaltney, C. J., Shields, A. L., & Shiffman, S. (2008) · Value in Health · doi:10.1111/j.1524-4733.2007.00231.x · Cited by 623 · see citing works
Why researchers should think "within-person": A paradigmatic rationale.
Hamaker, E. L. (2012) · Cited by 472 · see citing works
Moskowitz, D. S., & Young, S. N. (2006) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0602 · Cited by 457 · see citing works
Ketamine for Depression: Where Do We Go from Here?
aan het Rot, M., Zarate, C. A., Charney, D. S., & Mathew, S. J. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.05.003 · Cited by 418 · see citing works
Solhan, M. B., Trull, T. J., Jahng, S., & Wood, P. K. (2009) · Psychological Assessment · doi:10.1037/a0016869 · Cited by 362 · see citing works
aan het Rot, M., Hogenelst, K., & Schoevers, R. A. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.05.007 · Cited by 325 · see citing works
Self-citationKramer, I., Simons, C. J. P., Hartmann, J. A., Menne-Lothmann, C., Viechtbauer, W., Peeters, F., Schruers, K., van Bemmel, A. L., Myin-Germeys, I., Delespaul, P., et al. (2014) · World Psychiatry · doi:10.1002/wps.20090 · Cited by 306 · see citing works
Walz, L. C., Nauta, M. H., & aan het Rot, M. (2014) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2014.09.022 · Cited by 195 · cited 1× · see citing works
“, 2009), substance use disorders (Shiffman, 2009), anxiety disorders (Walz et al., 2014), and eating disorders (Haedt-Matt and Keel, 2011).”
BackgroundKashdan, T. B., & Farmer, A. S. (2014) · Emotion · doi:10.1037/a0035796 · Cited by 162 · see citing works
Momentary assessment technology as a tool to help patients with depression help themselves
Wichers, M., Simons, C. J. P., Kramer, I., Hartmann, J., Menne‐Lothmann, C., Myin‐Germeys, I., van Bemmel, A. L., Peeters, F. P. M. L., Delespaul, P., & van Os, J. (2011) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2011.01749.x · Cited by 150 · see citing works
Koster, E. H. W., De Raedt, R., Leyman, L., & De Lissnyder, E. (2010) · Behaviour Research and Therapy · doi:10.1016/j.brat.2009.11.004 · Cited by 148 · see citing works
Momentary assessment research in psychosis.
Oorschot, M., Kwapil, T. R., Delespaul, P., & Myin‐Germeys, I. (2009) · Psychological Assessment · doi:10.1037/a0017077 · Cited by 146 · see citing works
Wichers, M. C., Barge-Schaapveld, D. Q. C. M., Nicolson, N. A., Peeters, F., de Vries, M., Mengelers, R., & van Os, J. (2009) · Neuropsychopharmacology · doi:10.1038/npp.2008.66 · Cited by 139 · see citing works
Response shift: a brief overview and proposed research priorities
Barclay, R., Epstein, J., & Mayo, N. E. (2009) · Quality of Life Research · doi:10.1007/s11136-009-9450-x · Cited by 137 · see citing works
Tidey, J. W., Monti, P. M., Rohsenow, D. J., Gwaltney, C. J., Miranda, R., McGeary, J. E., MacKillop, J. M., Swift, R. M., Abrams, D. B., Shiffman, S. M., et al. (2007) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2007.00545.x · Cited by 135 · see citing works
Geschwind, N., Nicolson, N. A., Peeters, F., van Os, J., Barge-Schaapveld, D., & Wichers, M. (2011) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2010.11.004 · Cited by 119 · see citing works
Whalen, C. K., Henker, B. A., Jamner, L. D., Ishikawa, S. S., Floro, J. N., Swindle, R. W., Perwien, A. R., & Johnston, J. A. (2006) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-005-9008-5 · Cited by 118 · see citing works
Alcohol and tobacco cessation in alcohol-dependent smokers: Analysis of real-time reports.
Cooney, N. L., Litt, M. D., Cooney, J. L., Pilkey, D. T., Steinberg, H. R., & Oncken, C. A. (2007) · Psychology of Addictive Behaviors · doi:10.1037/0893-164x.21.3.277 · Cited by 106 · see citing works
An Experience-Sampling Study of Depressive Symptoms and Their Social Context
Brown, L. H., Strauman, T. J., Barrantes‐Vidal, N., Silvia, P. J., & Kwapil, T. R. (2011) · The Journal of Nervous and Mental Disease · doi:10.1097/nmd.0b013e31821cd24b · Cited by 106 · see citing works
Getting started: Launching a study in daily life.
Conner, T. S., & Lehman, B. J. (2012) · Cited by 93 · see citing works
Wichers, M., Lothmann, C., Simons, C. J. P., Nicolson, N. A., & Peeters, F. (2012) · British Journal of Clinical Psychology · doi:10.1111/j.2044-8260.2011.02021.x · Cited by 89 · see citing works
Höhn, P., Menne‐Lothmann, C., Peeters, F. P. M. L., Nicolson, N. A., Jacobs, N., Derom, C. A., Thiery, E. W., van Os, J., & Wichers, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075655 · Cited by 86 · see citing works
Peeters, F., Berkhof, J., Rottenberg, J., & Nicolson, N. A. (2010) · Behaviour Research and Therapy · doi:10.1016/j.brat.2010.04.008 · Cited by 84 · see citing works
Changes in daily life experience associated with clinical improvement in depression
Barge-Schaapveld, D. (1995) · Journal of Affective Disorders · doi:10.1016/0165-0327(95)00012-c · Cited by 84 · see citing works
Effects of Antidepressant Treatment on the Quality of Daily Life
Barge‐Schaapveld, D. Q. C. M., & Nicolson, N. A. (2002) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v63n0603 · Cited by 81 · see citing works
Bruining, N., Caiani, E., Chronaki, C., Guzik, P., & van der Velde, E. (2014) · European Journal of Preventive Cardiology · doi:10.1177/2047487314552604 · Cited by 81 · see citing works
Social behaviour and mood in everyday life: the effects of tryptophan in quarrelsome individuals
Rot, M. A. H., Moskowitz, D. S., Pinard, G., & Young, S. N. (2006) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0629 · Cited by 80 · see citing works
Forbes, E. E., Stepp, S., Dahl, R., Ryan, N., Whalen, D., Axelson, D., Birmaher, B., & Silk, J. (2012) · Journal of child and adolescent psychopharmacology · doi:10.1089/cap.2011.0085 · Cited by 77 · see citing works
Gehricke, J., Whalen, C. K., Jamner, L. D., Wigal, T. L., & Steinhoff, K. W. (2006) · Nicotine & Tobacco Research · doi:10.1080/14622200500431619 · Cited by 76 · see citing works
Holt, L. J., Litt, M. D., & Cooney, N. L. (2011) · Psychology of Addictive Behaviors · doi:10.1037/a0026039 · Cited by 70 · see citing works
Why researchers should think “real-world”
Reis, H. T. (2018) · Routledge eBooks · doi:10.4324/9780203732496-10 · Cited by 58 · see citing works
Wichers, M., Hartmann, J. A., Kramer, I. M. A., Lothmann, C., Peeters, F., van Bemmel, L., Myin-Germeys, I., Delespaul, P., van Os, J., & Simons, C. J. P. (2011) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2011.01684.x · Cited by 56 · see citing works
Hunger and binge eating: A meta‐analysis of studies using ecological momentary assessment
Haedt‐Matt, A. A., & Keel, P. K. (2010) · International Journal of Eating Disorders · doi:10.1002/eat.20868 · Cited by 52 · see citing works
Conducting research in daily life: A historical review.
Wilhelm, P., Perrez, M., & Pawlik, K. (2012) · Cited by 48 · see citing works
Vermeeren, A., Vuurman, E. F. P. M., Leufkens, T., van Leeuwen, C. J., Oers, A. C. M. V., LASKA, E. M., Rico, S., Steinberg, F. J., & Roth, T. G. (2014) · SLEEP · doi:10.5665/sleep.3482 · Cited by 45 · see citing works
Muhonen, L. H., Lahti, J. M. T., Sinclair, D., Lönnqvist, J. K., & Alho, H. (2008) · Substance Abuse Treatment Prevention and Policy · doi:10.1186/1747-597x-3-20 · Cited by 42 · see citing works
Moskowitz, D. S., & Sadikaj, G. (2012) · Cited by 39 · see citing works
Lataster, J., van Os, J., de Haan, L., Thewissen, V., Bak, M., Lataster, T., Lardinois, M., Delespaul, P., & Myin‐Germeys, I. (2010) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.09m05466yel · Cited by 38 · see citing works
ADHD medication reduces cotinine levels and withdrawal in smokers with ADHD
Gehricke, J., Hong, N., Wigal, T. L., Chan, V., & Doan, A. (2011) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2011.02.021 · Cited by 37 · see citing works
Daily process methodology for measuring earlier antidepressant response.
Lenderking, W., Hu, M., Tennen, H., Cappelleri, J., Petrie, C. D., & Rush, A. (2008) · Contemporary Clinical Trials · doi:10.1016/j.cct.2008.05.012 · Cited by 33 · see citing works
Roth, T. G., Mayleben, D. W., Corser, B. C., & Singh, N. (2007) · Human Psychopharmacology Clinical and Experimental · doi:10.1002/hup.884 · Cited by 27 · see citing works
Lataster, J., Myin‐Germeys, I., Wichers, M., Delespaul, P., van Os, J., & Bak, M. (2011) · Therapeutic Advances in Psychopharmacology · doi:10.1177/2045125311419552 · Cited by 21 · see citing works
Possible role of more positive social behaviour in the clinical effect of antidepressant drugs
Young, S. N., Moskowitz, D. S., & Rot, M. A. H. (2014) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.130165 · Cited by 19 · see citing works
Whalen, C. K., Henker, B., Ishikawa, S. S., Emmerson, N. A., Swindle, R., & Johnston, J. A. (2010) · Journal of Attention Disorders · doi:10.1177/1087054708325118 · Cited by 15 · see citing works
The Speed of Onset of Action of Alprazolam-XR Compared to Alprazolam-CT in Panic Disorder
Sheehan, D. V., Sheehan, K. H., MBA, Sheehan, K. H., PhD, Raj, A. B. A., & MD (2025) · Psychopharmacology Bulletin · doi:10.64719/pb.4122 · Cited by 12 · see citing works
Flagged first, then by citations
2 of the 57 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Mental disorders as networks of problems: a review of recent insights
Fried, E. I., van Borkulo, C. D., Cramer, A. O. J., Boschloo, L., Schoevers, R. A., & Borsboom, D. (2016) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-016-1319-z · Cited by 1,067 · see citing works
Self-citationOpportunities and challenges in the collection and analysis of digital phenotyping data
Onnela, J.-P. “. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0771-3 · Cited by 321 · see citing works
The prefrontal cortex, pathological anxiety, and anxiety disorders
Kenwood, M. M., Kalin, N. H., & Barbas, H. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01109-z · Cited by 339 · see citing works
Moving forward: how depression heterogeneity hinders progress in treatment and research
Fried, E. (2017) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2017.1307737 · Cited by 220 · see citing works
The Design of Ecological Momentary Assessment Technologies
Doherty, K., Balaskas, A., & Doherty, G. J. (2020) · Interacting with Computers · doi:10.1093/iwcomp/iwaa019 · Cited by 187 · see citing works
Treating major depression with yoga: A prospective, randomized, controlled pilot trial
Prathikanti, S., Rivera, R., Cochran, A., Tungol, J. G., Fayazmanesh, N., & Weinmann, E. (2017) · PLOS ONE · doi:10.1371/journal.pone.0173869 · Cited by 157 · see citing works
Schoevers, R. A., van Borkulo, C. D., Lamers, F., Servaas, M. N., Bastiaansen, J. A., Beekman, A. T. F., van Hemert, A. M., Smit, J. H., Penninx, B. W. J. H., & Riese, H. (2020) · Psychological Medicine · doi:10.1017/s0033291720000689 · Cited by 154 · see citing works
Self-citationWilliams, M., Lewthwaite, H., Fraysse, F., Gajewska, A., Ignatavicius, J., & Ferrar, K. (2020) · Journal of Medical Internet Research · doi:10.2196/17023 · Cited by 141 · see citing works
Bos, F. M., Snippe, E., Bruggeman, R., Wichers, M., & van der Krieke, L. (2019) · Psychiatric Services · doi:10.1176/appi.ps.201900050 · Cited by 120 · see citing works
Self-citationGPS mobility as a digital biomarker of negative symptoms in schizophrenia: a case control study
Depp, C. A., Bashem, J. R., Moore, R. C., Holden, J. L., Mikhael, T., Swendsen, J. D., Harvey, P. D., & Granholm, E. L. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0182-1 · Cited by 121 · see citing works
An n=1 Clinical Network Analysis of Symptoms and Treatment in Psychosis
Bak, M., Drukker, M., Hasmi, L., & van Os, J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0162811 · Cited by 94 · see citing works
Verdejo‐García, A., Lorenzetti, V., Manning, V., Piercy, H., Bruno, R., Hester, R., Pennington, D., Tolomeo, S., Arunogiri, S., Bates, M. E., et al. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00877 · Cited by 95 · see citing works
Taking mHealth Forward: Examining the Core Characteristics
Davis, T. L., DiClemente, R. J., & Prietula, M. J. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5659 · Cited by 88 · see citing works
iHealth: The ethics of artificial intelligence and big data in mental healthcare
Rubeis, G. (2022) · Internet Interventions · doi:10.1016/j.invent.2022.100518 · Cited by 101 · see citing works
Kluge, A., Kirschner, M., Hager, O. M., Bischof, M., Habermeyer, B., Seifritz, E., Walther, S., & Kaiser, S. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.09.034 · Cited by 82 · see citing works
Cormack, F., McCue, M., Taptiklis, N., Skirrow, C., Glazer, E., Panagopoulos, E., van Schaik, T. A., Fehnert, B., King, J., & Barnett, J. H. (2019) · JMIR Mental Health · doi:10.2196/12814 · Cited by 79 · see citing works
Begemann, M., Thompson, I. A., Veling, W., Gangadin, S. S., Geraets, C. N. W., Hag, E. V., Müller-Kuperus, S. J., Oomen, P. P., Voppel, A., van der Gaag, M., et al. (2020) · Trials · doi:10.1186/s13063-019-3822-5 · Cited by 75 · see citing works
Ecological momentary assessment as a measurement tool in depression trials
Targum, S. D., Sauder, C. L., Evans, M., Saber, J. N., & Harvey, P. D. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.02.012 · Cited by 63 · see citing works
A multivariate statistical model for emotion dynamics.
Krone, T., Albers, C. J., Kuppens, P., & Timmerman, M. E. (2017) · Emotion · doi:10.1037/emo0000384 · Cited by 60 · see citing works
Piot, M., Mestdagh, M., Riese, H., Weermeijer, J. D. M., Brouwer, J. M. A., Kuppens, P., Dejonckheere, E., & Bos, F. M. (2022) · Internet Interventions · doi:10.1016/j.invent.2022.100575 · Cited by 58 · see citing works
Self-citationBuitelaar, J. K. (2017) · Epidemiology and Psychiatric Sciences · doi:10.1017/s2045796017000154 · Cited by 53 · see citing works
Castro, D., Gysi, D. M., Ferreira, F., Ferreira‐Santos, F., & Ferreira, T. B. (2024) · PLoS ONE · doi:10.1371/journal.pone.0297058 · Cited by 51 · see citing works
Lenze, E. J., Nicol, G. E., Barbour, D. L., Kannampallil, T., Wong, A. W. K., Piccirillo, J., Drysdale, A. T., Sylvester, C. M., Haddad, R., Miller, J. P., et al. (2021) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.200042 · Cited by 43 · see citing works
O’Rourke, T., Vogel, C., John, D. T., Pryss, R. C., Schobel, J., Haug, F., Haug, J., Pieh, C., Nater, U. M., Feneberg, A. C., et al. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.913125 · Cited by 42 · see citing works
Machine Learning and the Digital Measurement of Psychological Health
Galatzer‐Levy, I. R., & Onnela, J.-P. “. (2023) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-080921-073212 · Cited by 35 · see citing works
Grip on health: A complex systems approach to transform health care
van Wietmarschen, H., Wortelboer, H. M., & van der Greef, J. (2016) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.12679 · Cited by 35 · see citing works
Hendrikoff, L., Kambeitz‐Ilankovic, L., Pryss, R. C., Senner, F., Falkai, P., Pogarell, O. M., Hasan, A., & Peters, H. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.11.025 · Cited by 35 · see citing works
Using structural equation modeling to study traits and states in intensive longitudinal data.
Castro‐Alvarez, S., Tendeiro, J. N., Meijer, R. R., & Bringmann, L. F. (2021) · Psychological Methods · doi:10.1037/met0000393 · Cited by 35 · see citing works
Robinaugh, D. J., Brown, M. L., Losiewicz, O. M., Jones, P. J., Marques, L. M., & Baker, A. W. (2020) · General Psychiatry · doi:10.1136/gpsych-2019-100161 · Cited by 34 · see citing works
van Ballegooijen, W., Ruwaard, J., Karyotaki, E., Ebert, D. D., Smit, J. H., & Riper, H. M. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-1065-5 · Cited by 32 · see citing works
The association of life stress with substance use symptoms: A network analysis and replication.
Lin, S.-Y., Fried, E. I., & Eaton, N. R. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000485 · Cited by 32 · see citing works
Predicting treatment effects in unipolar depression: A meta-review
Gillett, G., Tomlinson, A., Efthimiou, O., & Cipriani, A. (2020) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2020.107557 · Cited by 33 · see citing works
Insight Into Individual Differences in Emotion Dynamics With Clustering
Ernst, A. F., Timmerman, M. E., Jeronimus, B. F., & Albers, C. J. (2019) · Assessment · doi:10.1177/1073191119873714 · Cited by 24 · see citing works
Schuster, R., Schreyer, M. L., Kaiser, T., Berger, T., Klein, J. P., Moritz, S., Laireiter, A.-R., & Trutschnig, W. (2020) · Internet Interventions · doi:10.1016/j.invent.2020.100313 · Cited by 21 · see citing works
von Klipstein, L., Servaas, M. N., Schoevers, R. A., van der Veen, D. C., & Riese, H. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e14507 · Cited by 21 · see citing works
Self-citationComparison of Estimation Procedures for Multilevel AR(1) Models
Krone, T., Albers, C. J., & Timmerman, M. E. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00486 · Cited by 18 · see citing works
Miller, M., Raugh, I. M., Strauss, G. P., & Harvey, P. D. (2022) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2022.100047 · Cited by 15 · see citing works
Fractal biomarker of activity in patients with bipolar disorder
Knapen, S. E., Li, P., der Lek, R. F. R., Verkooijen, S., Boks, M. P., Schoevers, R. A., Scheer, F. A. J. L., & Hu, K. (2020) · Psychological Medicine · doi:10.1017/s0033291720000331 · Cited by 17 · see citing works
Self-citationBerlowitz, I., Torres, E. G., Maake, C., Wolf, U., & Martin-Söelch, C. (2023) · Plants · doi:10.3390/plants12020346 · Cited by 16 · see citing works
Beiwinkel, T., Hey, S., Bock, O., & Rössler, W. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2017.00249 · Cited by 15 · see citing works
New Methods for Second Language (L2) Speech Research
Flege, J. E. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108886901.004 · Cited by 14 · see citing works
Massoudi, B., Blanker, M. H., van Valen, E., Wouters, H., Bockting, C., & Burger, H. (2017) · BMC Psychiatry · doi:10.1186/s12888-017-1376-1 · Cited by 14 · see citing works
A systematic review of ecological momentary assessment in autism research
Chen, Y., Xi, Z., Greene, T., & Mandy, W. (2024) · Autism · doi:10.1177/13623613241305722 · Cited by 13 · see citing works
Batalas, N., Rot, M. A. H., Khan, V.-J., & Markopoulos, P. (2018) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3179428 · Cited by 12 · see citing works
Examining the role of emotion regulation, anger, and anxiety in misophonia: A network model
Hanna, M. R., Collins, A. C., Shan, Y., Chen, B. B., Wang, S., & Rosenthal, M. Z. (2025) · PLoS ONE · doi:10.1371/journal.pone.0329920 · Cited by 12 · see citing works
Kooiman, B., Robberegt, S. J., Albers, C., Bockting, C., Stikkelbroek, Y. A. J., & Nauta, M. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1229713 · Cited by 9 · see citing works
Cormack, F. K., McCue, M., Skirrow, C., Cashdollar, N. M., Taptiklis, N., van Schaik, T. A., Fehnert, B., King, J., Chrones, L., Sarkey, S., et al. (2023) · JMIR Mental Health · doi:10.2196/46895 · Cited by 14 · see citing works
Coping with a life event in bipolar disorder: ambulatory measurement, signalling and early treatment
Knapen, S. E., der Lek, R. F. R., Haarman, B. C. M., & Schoevers, R. A. (2016) · BMJ Case Reports · doi:10.1136/bcr-2016-216123 · Cited by 11 · see citing works
Self-citationFeasibility of Intensive Ecological Sampling of Tinnitus in Intervention Research
Gerull, K. M., Kallogjeri, D., Piccirillo, M. L., Rodebaugh, T. L., Lenze, E. J., & Piccirillo, J. F. (2019) · Otolaryngology · doi:10.1177/0194599819844968 · Cited by 10 · see citing works
Systems Health: A Transition from Disease Management Toward Health Promotion
Shen, L., Ye, B., Sun, H., Lin, Y., van Wietmarschen, H., & Shen, B. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-981-10-6041-0_9 · Cited by 10 · see citing works
Stress Assessment in Daily Life Using the Experience Sampling Method
Vaessen, T., Reininghaus, U., & Myin‐Germeys, I. (2023) · Springer eBooks · doi:10.1007/978-3-031-27349-0_7 · Cited by 9 · see citing works
Wu, Y.-H., Stangl, E., Oleson, J., Caraher, K. J., & Dunn, C. C. (2021) · Journal of the American Academy of Audiology · doi:10.1055/a-1674-0060 · Cited by 10 · see citing works
The Cycling Brain in the Workplace: Does Workload Modulate the Menstrual Cycle Effect on Cognition?
Xu, M. Q., Chen, D., Li, H., Wang, H., & Yang, L. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.856276 · Cited by 7 · see citing works
Lee, J., Solomonov, N., Banerjee, S., Alexopoulos, G. S., & Sirey, J. A. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.732773 · Cited by 9 · see citing works
Weiss, D. M., Bernier, E., Robbins, D. R., Elacqua, K. M., Johnson, K. A., Powers, K., Mesholam‐Gately, R. I., & Woodberry, K. A. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.874246 · Cited by 7 · see citing works
Geeraerts, J., Pivodic, L., de Nooijer, K., Naert, E., Crombez, G., Ridder, M. D., & den Block, L. V. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-075752 · Cited by 6 · see citing works
Analyzing cyclic patterns in psychological data: A tutorial
Verboon, P., & Leontjevas, R. (2018) · The Quantitative Methods for Psychology · doi:10.20982/tqmp.14.4.p218 · Cited by 5 · see citing works
Intensive Longitudinal Methods Among Adults With Breast or Lung Cancer: Scoping Review
Geeraerts, J., de Nooijer, K., Pivodic, L., Ridder, M. D., & den Block, L. V. (2024) · Journal of Medical Internet Research · doi:10.2196/50224 · Cited by 6 · see citing works
The Importance of Context: An ESM Study in Forensic Psychiatry
Habets, P., Delespaul, P., & Jeandarme, I. (2021) · International Journal of Offender Therapy and Comparative Criminology · doi:10.1177/0306624x20986530 · Cited by 5 · see citing works
Bosman, M., Vork, L., Jonkers, D. M. A. E., Snijkers, J. T. W., Topan, R., Aziz, Q., Midenfjord, I., Simrén, M., Masclee, A., ESM study group, et al. (2024) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000003091 · Cited by 5 · see citing works
Phase-sensitive individualized pharmacotherapy for alcohol use disorder
Müller, C. P., Lenz, B., Kornhuber, J., Ebner‐Priemer, U., Schwarz, E., Ersche, K. D., Kiefer, F., & Spanagel, R. (2025) · Neuropharmacology · doi:10.1016/j.neuropharm.2025.110745 · Cited by 3 · see citing works
Wang, P., Zhao, M., & Liu, W. (2025) · Advances in Psychiatry and Behavioral Health · doi:10.1016/j.ypsc.2025.01.003 · Cited by 3 · see citing works
The use of Experience Sampling Method in psychopharmacological studies: A systematic review
Quadackers, D. M. C., Bos, F. M., Hovenkamp-Hermelink, J., Cath, D. C., & Riese, H. (2024) · Psychiatry Research · doi:10.1016/j.psychres.2024.116327 · Cited by 2 · see citing works
Self-citationTakeshige, M., Oka, T., Ohwan, M., & Hirai, K. (2024) · Japanese Psychological Research · doi:10.1111/jpr.12565 · Cited by 2 · see citing works
Henry, N., Pedersen, M., Williams, M. N., & Donkin, L. (2025) · Archives of Sexual Behavior · doi:10.1007/s10508-025-03287-z · Cited by 2 · see citing works
Djordjevic, M., Gangadin, S. S., de Haan, L., Jongsma, H. E., Oomen, P. P., Simons, C. J. P., Marcelis, M. C., Nijland, M., Begemann, M., Sommer, I. E., et al. (2025) · Psychological Medicine · doi:10.1017/s003329172510216x · Cited by 1 · see citing works
Episode detection based on personalized intensity of care thresholds: a schizophrenia case study
Konings, S. R. A., Bruggeman, R., Visser, E., Schoevers, R. A., Mierau, J. O., & Feenstra, T. (2020) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.113507 · Cited by 1 · see citing works
Self-citationMuthmainah, M., Sketriené, D., Anversa, R. G., Harris, E. A., Griffiths, S., Gogos, A., Sumithran, P., & Brown, R. M. (2025) · Pilot and Feasibility Studies · doi:10.1186/s40814-025-01598-5 · Cited by 1 · see citing works
Schuster, R., Schreyer, M. L., Kaiser, T., Berger, T., Klein, J. P., Moritz, S., Laireiter, A., & Trutschnig, W. (2019) · doi:10.31234/osf.io/chjur · Cited by 1 · see citing works
Daemen, M. (2022) · doi:10.26481/dis.20220715md · Cited by 1 · see citing works
Vázquez, C. G., Eicher, C., Huber, R., Kronenberg, G., Landolt, H., Seifritz, E., & Poian, G. D. (2024) · Research Square · doi:10.21203/rs.3.rs-3961385/v1 · Cited by 1 · see citing works
Analyzing cyclic patterns in psychological research_ a tutorialPreprint
Verboon, P., Leontjevas, R., Lataster, J., & van de Maat, R. (2018) · doi:10.31234/osf.io/zd5sn
Mental disorders as networks of problems: a review of recent insightsPreprint
Fried, E. I., & van Borkulo, C. D. (2016) · doi:10.31234/osf.io/6n8cg
O’Rourke, T., Vogel, C., John, D. T., Pryss, R. C., Schobel, J., Haug, F., Haug, J., Pieh, C., Nater, U. M., Feneberg, A. C., et al. (2020) · doi:10.2196/preprints.19382
Chronicle of a Measurement Unforetold
Castro‐Alvarez, S. (2022) · doi:10.33612/diss.258185361
Chronicle of a Measurement UnforetoldPreprint
Castro‐Alvarez, S. (2022) · doi:10.31237/osf.io/6zfhm
A Discrete Time and Discrete State Markov Chain for Affect Dynamics
Borghesi, F., Simoncini, G., & Cipresso, P. (2026) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-032-26235-6_11
Kornacka, M., Barnes, S., Skorupski, J., Skorupski, M. S., Jaskulska, A., Para, M., & Szastok, M. (2026) · Psychiatria i Psychologia Kliniczna · doi:10.15557/pipk.2026.0018
Kim, S., Bein, O., Carter, E. J., Zhang, H., Lee, J., Yu, Z., Marino, P., Sirey, J. A., Kiosses, D. N., Alexopoulos, G. S., et al. (2026) · Journal of Medical Internet Research · doi:10.2196/92348
Bryant, Z., Slade, T. N., Morley, K. C., Halladay, J. E., Prior, K., Dali, G., Braund, T. A., Sunderland, M., Terhorst, Y., Löchner, J., et al. (2026) · Journal of Medical Internet Research · doi:10.2196/92751
- Authors
- Bos, F. M., Schoevers, R. A., & aan het Rot, M.
- Affiliations
- University of Groningen (NL)
- University Medical Center Groningen (NL)
- Corresponding author
- Bos, Fionneke M.
- Venue
- European Neuropsychopharmacology
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 25
- Issue
- 11
- Pages
- 1853-1864
- ISSN
- 0924-977X (ISSN-L)
- OpenAlex
- W1577557314
- Cited by
- 81
- References
- 57
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 8 · 2023: 6 · 2022: 9 · 2021: 8 · 2020: 11 · 2019: 9 · 2018: 4 · 2017: 8 · 2016: 8
- FWCI
- 0.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Neuropsychopharmacology (publishedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- ecological momentary assessment, psychotropic drugs, major depressive disorder, substance use disorders, attention deficit hyperactivity disorder, psychosis, anxiety disorders, recurrence prediction, treatment outcome monitoring, psychiatric treatment
- MeSH terms
- Mental Disorders, Humans, Psychological Tests, Psychopharmacology, Psychotropic Drugs, Precision Medicine
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
