Experienced burden of and adherence to smartphone-based ecological momentary assessment in persons with affective disorders
Open accessAbstract
(1) Background: The use of smartphone-based ecological momentary assessment (EMA) questionnaires in affective disorder research has rapidly increased. Though, a thorough understanding of experienced burden of and adherence to EMA is crucial in determining the usefulness of EMA. (2) Methods: Persons with current affective disorders (n = 100), remitted persons (n = 190), and healthy controls (n = 94) participated in a smartphone-based EMA two-week monitoring period. Our primary outcomes were (momentary) perceived burden of and adherence to EMA. (3) Results: In the whole sample, lower positive and higher negative affect were associated with slightly higher levels of perceived momentary burden (B = −0.23 [95%CI = −0.27–0.19], B = 0.30 [95%CI = 0.24–0.37], respectively). The persons with current affective disorders reported slightly higher levels of experienced momentary burden (Mdn = 1.98 [IQR = 1.28–2.57]), than the remitted persons (Mdn = 1.64 [IQR = 1.11–2.24]) and healthy controls (Mdn = 1.28 [IQR = 1.04–1.92]). Nevertheless, the persons with current affective disorders still showed very high adherence rates (Mdn = 94.3% [IQR = 87.9–97.1]), at rates on a par with the remitted persons (Mdn = 94.3% [IQR = 90.0–97.1]) and healthy controls (Mdn = 94.3% [IQR = 90.0–98.6]). (4) Discussion: Frequent momentary questionnaires of mental well-being are slightly more burdensome to the persons with current affective disorders, but this does not seem to have a negative impact on adherence. Their high rate of adherence to EMA—which was similar to that in remitted persons and healthy controls —suggests that it is feasible to apply (short-duration) EMA.
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Written from the paper’s full text.
TL;DR
In a two-week smartphone EMA study, persons with current affective disorders reported slightly higher momentary burden than remitted persons and healthy controls, but all groups showed very high adherence. The authors conclude that short-duration smartphone EMA is feasible for persons with affective disorders despite modestly greater momentary burden.
Key findings
- Momentary burden was significantly higher in current affective disorders (Mdn = 1.98, IQR = 1.28–2.57) than in remitted persons (Mdn = 1.64, IQR = 1.11–2.24; p = 0.01) and healthy controls (Mdn = 1.28, IQR = 1.04–1.92; p < 0.0001).
- Adherence was identical across groups: all had a median of 66/70 questionnaires completed, or 94.3% (current IQR = 63.5–69.0; remitted IQR = 63.0–68.0; healthy controls IQR = 62.0–69.0; H[2] = 0.08, p = 0.98).
- In the whole sample, lower positive affect (B = −0.23, 95%CI = −0.27–0.19) and higher negative affect (B = 0.30, 95%CI = 0.24–0.37 per abstract) were associated with slightly higher momentary burden; burden remained stable over time (B = 0.00, p = 0.09).
- Overall burden over the whole monitoring period did not differ significantly between groups (current Mdn = 2.5, remitted Mdn = 2.25, healthy controls Mdn = 2.0; H[2] = 5.56, p = 0.062).
Methods
- NESDA-EMAA subsample from the Netherlands Study of Depression and Anxiety: 384 participants, including current affective disorders (n = 100), remitted persons (n = 190), and healthy controls (n = 94).
- Participants completed five smartphone-based EMA questionnaires per day for 14 days (70 total), at fixed 3-hour intervals, with up to 31 questions including a 13-item momentary affect scale.
- Outcomes were momentary burden (single item), overall burden (4-item addendum; Cronbach’s α = 0.924), and adherence (percentage of completed questionnaires). Analyses used Kruskal–Wallis, Bonferroni-adjusted Mann–Whitney, chi-square/likelihood ratio tests, and GEE models in SPSS 25.
Limitations
- The paper states that NESDA-EMAA participants were likely highly motivated after over nine years in NESDA, and the relatively short two-week monitoring period may not generalize to longer EMA settings.
- The paper states that momentary burden was measured with one single item, so its psychometric properties could not be assessed.
- The paper notes that adherence may have been influenced by allowing responses within 60 minutes after prompts; evident from inclusion criteria, participants also had to be familiar with smartphone use and willing to wear actigraphy, which may limit generalizability.
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Claims the paper makes
0 of 10 cited sources checked · 0 supported · 0 flagged
- Findingown data
The association between reported momentary burden and time did not change significantly over the study period (B = 0.00, 95%CI = 0.00-0.00, p = 0.09).
“we found that the strength of the association between reported levels of burden as a result of the questionnaires did not change significantly over time (B = 0.00, 95%CI = 0.00-0.00, p = 0.09).”
Quote in the paperNot a substantial claim - Findingown data
No significant inter-group differences were found in average overall experienced burden over the whole two-week EMA monitoring period (H[2] = 5.56, p = 0.062).
“No significant inter-group differences regarding average overall experienced burden were found (H[2] = 5.56, p = 0.062).”
- Also stated in: § 4. Discussion · plain
“when asked to evaluate the overall experienced burden of the whole two-week monitoring period, no significant inter-group differences were found.”
Quote in the paperSubstantial claim - Also stated in: § 4. Discussion · plain
- Findingown data
In the whole sample, higher positive affect was associated with slightly lower momentary burden (B = −0.23, 95%CI = −0.27-0.19).
“First, we found a significant negative association between positive affect and momentary burden (B = −0.23, 95%CI = −0.27–0.19, p < 0.0001)”
- Also stated in: § Abstract · plain
“In the whole sample, lower positive and higher negative affect were associated with slightly higher levels of perceived momentary burden (B = −0.23 [95%CI = −0.27–0.19], B = 0.30 [95%CI = 0.24–0.37], respectively).”
Quote in the paperNot a substantial claim - Also stated in: § Abstract · plain
- Findingown data
In the whole sample, higher negative affect was associated with slightly higher momentary burden (B = 0.30, 95%CI = 0.24-0.37).
“and a significant positive association between negative affect and momentary burden (B = 0.30, 95%CI = −0.24–0.37, p < 0.0001)”
- Also stated in: § Abstract · plain
“In the whole sample, lower positive and higher negative affect were associated with slightly higher levels of perceived momentary burden (B = −0.23 [95%CI = −0.27–0.19], B = 0.30 [95%CI = 0.24–0.37], respectively).”
Quote in the paperNot a substantial claim - Also stated in: § Abstract · plain
- Findingown data
There was no significant difference in adherence rates between the current affective disorder, remitted, and healthy control groups (H[2] = 0.08, p = 0.98).
“meaning that there is no significant difference between the persons with current affective disorders (IQR = 63.5–69.0), the remitted persons (IQR = 63.0–68.0), and the healthy controls (IQR = 62.0–69.0; (H[2] = 0.08, p = 0.98).”
Quote in the paperSubstantial claim
- Findingown data
Across the sample, technical issues accounted for only a small number of the missed questionnaires.
“It thus appears that, across the sample, technical issues accounted for only a small number of the missed questionnaires.”
Quote in the paperNot a substantial claim - Findingown data
Persons with current affective disorders had significantly higher person-mean momentary burden than healthy controls (Mdn = 1.98 vs 1.28; U = 3098.50, p < 0.0001).
“the person-means of momentary burden reported by the persons with current affective disorders (Mdn = 1.98, IQR = 1.28–2.57) were significantly higher than in both the remitted persons (Mdn = 1.64, IQR = 1.11–2.24; U = 7229.50, p = 0.01) and the healthy controls (Mdn = 1.28, IQR = 1.04–1.92; U = 3098.50, p < 0.0001).”
- Also stated in: § Abstract · plain
“The persons with current affective disorders reported slightly higher levels of experienced momentary burden (Mdn = 1.98 [IQR = 1.28–2.57]), than the remitted persons (Mdn = 1.64 [IQR = 1.11–2.24]) and healthy controls (Mdn = 1.28 [IQR = 1.04–1.92]).”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
Persons with current affective disorders had significantly higher person-mean momentary burden than remitted persons (Mdn = 1.98 vs 1.64; U = 7229.50, p = 0.01).
“the person-means of momentary burden reported by the persons with current affective disorders (Mdn = 1.98, IQR = 1.28–2.57) were significantly higher than in both the remitted persons (Mdn = 1.64, IQR = 1.11–2.24; U = 7229.50, p = 0.01) and the healthy controls (Mdn = 1.28, IQR = 1.04–1.92; U = 3098.50, p < 0.0001).”
- Also stated in: § Abstract · plain
“The persons with current affective disorders reported slightly higher levels of experienced momentary burden (Mdn = 1.98 [IQR = 1.28–2.57]), than the remitted persons (Mdn = 1.64 [IQR = 1.11–2.24]) and healthy controls (Mdn = 1.28 [IQR = 1.04–1.92]).”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
All three groups showed the same median adherence rate of 94.3% (66 out of 70) to the EMA measures.
“All groups showed the same median adherence rate (66 out of 70 [94.3%]) to the EMA measures”
- Also stated in: § Abstract · plain
“the persons with current affective disorders still showed very high adherence rates (Mdn = 94.3% [IQR = 87.9–97.1]), at rates on a par with the remitted persons (Mdn = 94.3% [IQR = 90.0–97.1]) and healthy controls (Mdn = 94.3% [IQR = 90.0–98.6]).”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Study design and conductown data
In the GEE analyses, diagnosis group, weekly working hours, gender, age, and educational background were not confounders of the association between affect and momentary burden.
“None of these variables were considered a confounder.”
- Also stated in: § 3.2. Burden · plain
“In addition, in neither analysis did we find significant interaction between these five covariates on the one hand, and positive or negative affect on the other.”
Quote in the paperNot a substantial claim - Also stated in: § 3.2. Burden · plain
- Study design and conductown data
The four items evaluating overall experienced burden showed excellent internal consistency in this sample (Cronbach's α = 0.924).
“The four items showed excellent internal consistency in this sample (Cronbach’s α = 0.924).”
Quote in the paperNot a substantial claim - Interpretationown data
Higher momentary burden in persons with current affective disorders did not result in nonadherence.
“Importantly, the higher levels of “in the moment burden” amongst the persons with current affective disorders did not result in nonadherence; on average, they completed over 94% of the EMA questionnaires—a rate on a par with the other two groups in this cohort.”
Quote in the paperSubstantial claim - Interpretationown data
It is feasible to apply short-duration EMA in persons with affective disorders.
“Their high rate of adherence to EMA—which was similar to that in remitted persons and healthy controls —suggests that it is feasible to apply (short-duration) EMA.”
Quote in the paperSubstantial claim - Interpretationcitation
The adherence rates in this study might have been influenced by allowing participants to answer the questionnaires within 60 minutes after being prompted.
“Note, however, the adherence rates in our study might have been influenced by the fact that participants were allowed to answer the questionnaires within 60 minutes after being prompted. Other studies often only allow for a short period of time to complete the questionnaires (e.g., up till 30 minutes) [31].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Janssens, K.A.M., Bos, E.H., Rosmalen, J.G.M., Wichers, M.C., and Riese, H. (2018). A Qualitative Approach to Guide Choices for Designing a Diary Study. BMC Med. Res. Methodol., 18. source
Not checked in the free run.
- Interpretationreasoning
Adhering to EMA questionnaires might be more intrusive to persons with current affective disorders than for persons without such a disorder.
“Adhering to EMA questionnaires might therefore be more intrusive to persons with current affective disorders, than for persons without such a disorder.”
Quote in the paperSubstantial claim - Interpretationown data
Adherence rates in this sample were high.
“These results show that adherence rates in our sample were high.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 6
- May combine two claims. 6
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA meta-analysis showed a pooled average adherence rate of 71% in substance abusers.
“A meta-analysis showed a pooled average adherence rate of 71% in substance abusers [30].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] Jones, 2018, Compliance with Ecological Momentary Assessment Protocols in Substance Users: A Meta-Analysis, Addiction source
Not checked in the free run.
May combine two claims.
InterpretationcitationAdherence rates in this study are higher than in previous studies with a similar population, although those studies used different EMA methods (e.g., paper-and-pencil diaries, PDAs).
“Moreover, the adherence rates found in this study are even higher than in previous ones with a similar population, although these studies used different EMA methods (e.g., paper-and-pencil diaries, PDAs) [8,14,15].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [8] Wenze, 2010, Use of Ecological Momentary Assessment in Mood Disorders Research, Clin. Psychol. Rev. source
Not checked in the free run.
- cites [14] Hogenelst, 2012, Mood Disorders in Everyday Life: A Systematic Review of Experience Sampling and Ecological Momentary Assessment Studies, Clin. Psychol. Rev. source
Not checked in the free run.
- cites [15] Colombo, D., Fernández-Álvarez, J., Patané, A., Semonella, M., Kwiatkowska, M., García-Palacios, A., Cipresso, P., Riva, G., and Botella, C. (2019). Current State and Future Directions of Technology-Based Ecological Momentary Assessment and Intervention for Major Depressive Disorder: A Systematic Review. J. Clin. Med., 8. source
Not checked in the free run.
May combine two claims.
Study design and conductcitationGEE models adjust for dependency of repeated measures within one participant and can handle non-normally distributed data and missing data.
“We chose GEE models because EMA data have a hierarchical structure; this type of model adjusts for dependency of repeated measures within one participant and can handle non-normally distributed data. GEE models are also suitable for dealing with missing data; it is not required to exclude participants with missing questionnaires, nor should missing questionnaires be imputed beforehand.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [28] Lu, 2007, A comparison of two bias-corrected covariance estimators for generalized estimating equations, Biometrics source
Not checked in the free run.
- cites [29] Twisk, 2002, Attrition in Longitudinal Studies: How to Deal with Missing Data, J. Clin. Epidemiol. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenThe results from this relatively short EMA monitoring period might not be readily generalized to other settings that rely on longer EMA monitoring periods.
“In addition, the results of our a relatively short EMA monitoring period might not be readily generalized to other settings that rely on longer EMA monitoring periods.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Composite International Diagnostic Interview (CIDI Version 2.1) has high validity for the assessment of mental disorders.
“This has high validity for the assessment of mental disorders [26].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] Wittchen, 1991, Cross-Cultural Feasibility, Reliability and Sources of Variance of the Composite International Diagnostic Interview (CIDI), Br. J. Psychiatr. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe study was carried out in accordance with the Declaration of Helsinki and received ethical approval from the Ethical Review Board of VU University Medical Centre Amsterdam and local review boards; all participants provided written consent.
“The study was carried out in accordance with the latest version of the Declaration of Helsinki. The Ethical Review Board of VU University Medical Centre Amsterdam and the local review boards of the participating centres provided ethical approval and all participants provided written consent.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe clinical picture of current affective disorders involves a persistent depressed mood and/or diminished interest or pleasure in general.
“These findings could possibly be explained by the fact that the clinical picture of the current affective disorders involves a persistent depressed mood and/or diminished interest or pleasure in general [17,18].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [17] American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders, American Psychiatric Association. [5th ed.]. source
Not checked in the free run.
- cites [18] Beck, A.T., and Alford, B.A. (2009). Depression: Causes and Treatment, University of Pennsylvania Press. [2nd ed.]. source
Not checked in the free run.
May combine two claims.
Study design and conductreasoningMomentary burden was collected with one single item, so the psychometric properties of this main outcome measure could not be assessed.
“Another point is that momentary burden was collected with one single item. As a result, the psychometric properties of this main outcome measure could not be assessed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe findings provide important insights into the acceptability of short-duration EMA methods for persons with affective disorders.
“Although our conclusions highlight the need to examine this topic further, they do already provide important insights into the acceptability of (short-duration) EMA methods for persons with affective disorders.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataPersons with current affective disorders were still able and willing to provide real-time information on their mental well-being.
“even though the persons with current affective disorders did report experiencing more burden as a result of the EMA questionnaires when asked about this at the moment of assessment, this was not the case when asked to evaluate the whole monitoring period, and they were still able and willing to provide real-time information on their mental well-being.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
Participants in the NESDA-EMAA sample are highly motivated because they have been taking part in the NESDA study for over nine years.
“Most notably, it can be reasonably assumed that the participants in the NESDA-EMAA sample are highly motivated as they have been taking part in the NESDA study for over nine years.”
The authors state this as an assumption.
This study is the first to systematically examine user experiences of EMA questionnaires in persons with current affective disorders while making a direct comparison with remitted persons and healthy controls in a single cohort.
“This study is, to the best of our knowledge, the first to systematically examine user experiences of EMA questionnaires in persons with current affective disorders while making a direct comparison with remitted persons and healthy controls in a single cohort.”
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?
While the review supports the general acceptability of EMA in suicide research, the burden of EMA measures may be less tolerable for those currently experiencing very severe symptoms, analogous to findings in individuals with depressive disorders.
“While our review supports the general acceptability of EMA in suicide research, the burden of EMA measures may be less tolerable for those currently experiencing very severe symptoms, analog to findings in individuals with depressive disorders (102).”
From Don't Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide Research (2022) · cites this paper as [102]
Studies that apply non-personalized experience sampling method questionnaires in clinical samples, including those from our own group, have used a similar or higher number of questions, and compliance rates suggest a manageable burden for participants.
“Studies that apply (non-personalized) ESM questionnaires in clinical samples, including those from our own group, have used a similar or higher number of questions [32–35], and compliance rates suggest a manageable burden for participants.”
From Using person-specific networks in psychotherapy: challenges, limitations, and how we could use them anyway (2020) · cites this paper as [35]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Female percentage does not match the reported count
MinorThe reported 238 female participants out of 384 is 62.0%, not 67.0%.
Reported 67 · recomputed 61.979167
“67.0% (238 out of 384) of the participants were female”
Negative-affect confidence interval has conflicting lower bounds
MinorThe abstract reports a lower bound of 0.24, whereas the Results section reports −0.24 for the same coefficient.
“B = 0.30 [95%CI = 0.24–0.37]”
“B = 0.30, 95%CI = −0.24–0.37”
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- Schoevers, R.A., Van Borkulo, C.D., Lamers, F., Servaas, M.N., Bastiaansen, J.A.C.J., Beekman, A.T., Van Hemert, A.M., Smit, J.H., Penninx, B.W.J.H., and Riese, H. Momentary affect fluctuations differ between patients with current depression and anxiety disorders, remitters and healthy controls, Psychol. Med., (under review).
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Don't Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide Research
Kivelä, L., van der Does, W. A. J., Riese, H., & Antypa, N. (2022) · Frontiers in Digital Health · doi:10.3389/fdgth.2022.876595 · Cited by 163 · see citing works
Self-citationiHealth: 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
von Klipstein, L., Riese, H., van der Veen, D. C., Servaas, M. N., & Schoevers, R. A. (2020) · BMC Medicine · doi:10.1186/s12916-020-01818-0 · Cited by 63 · see citing works
Self-citationBos, F. M., von Klipstein, L., Emerencia, A. C., Veermans, E., Verhage, T., Snippe, E., Doornbos, B., Hadders-Prins, G., Wichers, M., & Riese, H. (2022) · JMIR Mental Health · doi:10.2196/36430 · Cited by 62 · see citing works
Self-citationBos, F. M., Snippe, E., Bruggeman, R., Doornbos, B., Wichers, M., & van der Krieke, L. (2020) · International Journal of Bipolar Disorders · doi:10.1186/s40345-020-00201-5 · Cited by 54 · see citing works
Riese, H., von Klipstein, L., Schoevers, R. A., van der Veen, D. C., & Servaas, M. N. (2021) · BMC Psychiatry · doi:10.1186/s12888-021-03123-3 · Cited by 52 · see citing works
Self-citationBiased Affective Forecasting: A Potential Mechanism That Enhances Resilience and Well-Being
Colombo, D., Fernández‐Álvarez, J., Suso‐Ribera, C., Cipresso, P., García‐Palacios, A., Riva, G., & Botella, C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01333 · Cited by 38 · see citing works
Murray, A. L., Brown, R., Zhu, X., Speyer, L. G., Yang, Y., Xiao, Z., Ribeaud, D., & Eisner, M. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.11.014 · Cited by 32 · see citing works
Social Comparison and Mental Health
Arigo, D., Bercovitz, I., Lapitan, E., & Gular, S. (2024) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-024-00313-0 · Cited by 26 · see citing works
Girolamo, G., Barattieri di San Pietro, C., Bulgari, V., Dagani, J., Ferrari, C., Hotopf, M., Iannone, G., Macis, A., Matcham, F., Myin‐Germeys, I., et al. (2020) · Depression and Anxiety · doi:10.1002/da.23023 · Cited by 24 · see citing works
van der Does, F. H. S., van Eeden, W., Bringmann, L. F., Lamers, F., Penninx, B. W. J. H., Riese, H., Vermetten, E. H. G. J. M., van der Wee, N. J. A., & Giltay, E. J. (2025) · Scientific Reports · doi:10.1038/s41598-025-94782-9 · Cited by 22 · see citing works
Self-citationTate, A. D., Fertig, A. R., de Brito, J. N., Ellis, É. M., Carr, C. P., Trofholz, A. C., & Berge, J. M. (2024) · JMIR Formative Research · doi:10.2196/49512 · Cited by 21 · see citing works
A collaborative realist review of remote measurement technologies for depression in young people
Walsh, A. E. L., Naughton, G., Sharpe, T., Zajkowska, Z., Malys, M. K., van Heerden, A. C., & Mondelli, V. (2024) · Nature Human Behaviour · doi:10.1038/s41562-023-01793-5 · Cited by 26 · see citing works
Shvetz, C., Gu, F., Drodge, J., Torous, J. B., & Guimond, S. (2021) · Schizophrenia · doi:10.1038/s41537-021-00194-9 · Cited by 20 · see citing works
van Genugten, C., Schuurmans, J., Hoogendoorn, A. W., Araya, R., Andersson, G., Baños, R., Berger, T., Botella, C., Pashoja, A. C., Cieślak, R., et al. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.755809 · Cited by 18 · see citing works
Self-citationMurray, A. L., Yang, Y., Zhu, X., Speyer, L. G., Brown, R., Eisner, M., & Ribeaud, D. (2023) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1972 · Cited by 21 · see citing works
Schuler, T., King, C., Matsveru, T., Back, M., Clark, K., Chin, D., Lilian, R., Gallego, B., Coiera, E. W., & Currow, D. C. (2023) · Journal of Palliative Medicine · doi:10.1089/jpm.2022.0535 · Cited by 17 · see citing works
Seidman, A. J., George, C. J., & Kovács, M. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.05.015 · Cited by 16 · see citing works
Innovative Technology Based Interventions for Psychological Treatment of Common Mental Disorders
Donker, T., & Kleiboer, A. M. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9103075 · Cited by 15 · see citing works
The Relation of Mood and Sexual Desire: An Experience Sampling Perspective on the Dual Control Model
van Tuijl, P., Verboon, P., & van Lankveld, J. J. D. M. (2022) · Archives of Sexual Behavior · doi:10.1007/s10508-022-02357-w · Cited by 12 · see citing works
van Genugten, C., Schuurmans, J., van Ballegooijen, W., Hoogendoorn, A. W., Smit, J. H., & Riper, H. M. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100437 · Cited by 14 · see citing works
Self-citationKunkels, Y. K., Smit, A. C., Minaeva, O., Snippe, E., George, S. V., van Roon, A. M., Wichers, M., & Riese, H. (2023) · Clinical Psychological Science · doi:10.1177/21677026221148101 · Cited by 13 · see citing works
Self-citationPerceived disturbance and predictors thereof in studies using the experience sampling method
Rintala, A., Wampers, M., Lafit, G., Myin-Germeys, I., & Viechtbauer, W. (2021) · Current Psychology · doi:10.1007/s12144-021-01974-3 · Cited by 12 · see citing works
van Genugten, C. V., Schuurmans, J., Hoogendoorn, A., Araya, R., Andersson, G., Baños, R., Botella, C., Cerga-Pashoja, A., Cieślak, R., Ebert, D., et al. (2021) · JMIR Mental Health · doi:10.2196/32007 · Cited by 13 · see citing works
Self-citationTonn, P., Seule, L., Degani, Y., Herzinger, S., Klein, A., & Schulze, N. (2022) · JMIR Formative Research · doi:10.2196/37061 · Cited by 10 · see citing works
Technology-Based Ecological Momentary Assessment in Clinical Psychology
Colombo, D., Suso‐Ribera, C., Fernández‐Álvarez, J., Cipresso, P., García‐Palacios, A., Riva, G., & Botella, C. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818697-8.00003-0 · Cited by 9 · see citing works
Descriptive Exploratory Study to Understand Postpartum Anxiety Using Multiple Measures
Hoberg, M. G., Demirci, J. R., Sereika, S. M., Levine, M. D., & Dabbs, A. D. (2022) · Journal of Obstetric, Gynecologic & Neonatal Nursing · doi:10.1016/j.jogn.2022.09.003 · Cited by 8 · see citing works
The Use of Smart Devices for Mental Health Diagnosis and Care
Lautman, Z., & Lev‐Ari, S. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11185359 · Cited by 8 · see citing works
Wright, L. A., Moore, M. R., Reeves, S., Vallejos, E. P., & Morriss, R. K. (2025) · JMIR Formative Research · doi:10.2196/65140 · Cited by 7 · see citing works
Pasteuning, J., Broeder, C. E., Sep, M. S. C., Elzinga, B. M., Penninx, B. W. J. H., Vinkers, C. H., & Giltay, E. J. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119833 · Cited by 7 · see citing works
Self-citationBuzzi, M., Minary, L., Kestens, Y., Agrinier, N., Ricci, L., & Epstein, J. (2022) · Quality of Life Research · doi:10.1007/s11136-021-03077-9 · Cited by 7 · see citing works
Mindlis, I., Rodebaugh, T. L., Kiosses, D. N., & Reid, M. C. (2024) · Gerontology and Geriatric Medicine · doi:10.1177/23337214241278538 · Cited by 6 · see citing works
Lewkowitz, A. K., Guillen, M., Ursino, K., Baker, R., Lum, L., Battle, C. L., Ware, C. F., Ayala, N. K., Clark, M. A., Ranney, M. L., et al. (2024) · JMIR Human Factors · doi:10.2196/63143 · Cited by 6 · see citing works
Murray, A. L., Ushakova, A., Zhu, X., Yang, Y., Xiao, Z., Brown, R., Speyer, L. G., Ribeaud, D., & Eisner, M. (2023) · Journal of Medical Internet Research · doi:10.2196/41412 · Cited by 6 · see citing works
Wilson, S., Lapadat, L., Zhu, L. Y., & Racine, S. E. (2025) · International Journal of Eating Disorders · doi:10.1002/eat.24473 · Cited by 5 · see citing works
Toner, E. R., Rucker, M., Wang, Z., Larrazabal, M. A., Cai, L., Datta, D., Lone, H. R., Boukhechba, M., Teachman, B. A., & Barnes, L. E. (2025) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2025.3562787 · Cited by 10 · see citing works
Cummings, P., Petitclerc, A., Moskowitz, J. T., Tandon, S. D., Zhang, Y., MacNeill, L. A., Alshurafa, N. I., Krogh‐Jespersen, S., Hamil, J. L., Nili, A., et al. (2022) · Affective Science · doi:10.1007/s42761-022-00147-0 · Cited by 5 · see citing works
Chaoyi, W. U., & Zhen, W. (2023) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2024.00364 · Cited by 5 · see citing works
Time Effect on Acute Postoperative Pain After Total Knee Replacement Surgery
Balthasar, A. J. R., Willemen, J. E., Vossen, C. J., Boymans, T. A. E. J., & Lousberg, R. L. (2023) · Clinical Journal of Pain · doi:10.1097/ajp.0000000000001152 · Cited by 4 · see citing works
Rosen, M., Betz, L. T., Montag, C., Kannen, C., & Kambeitz, J. P. (2022) · JMIR Research Protocols · doi:10.2196/35206 · Cited by 4 · see citing works
Morgan, T., He, M., Nicholson, A., Shahawy, O. E., Sherman, S. E., & Stevens, E. R. (2025) · JMIR Formative Research · doi:10.2196/66709 · Cited by 3 · see citing works
Wright, L. A., Roe, J., Guo, B., & Morriss, R. K. (2026) · JMIR Mental Health · doi:10.2196/83765 · Cited by 3 · see citing works
Xu, Z., Zhang, J., Haroutounian, S., Liu, H., Cao, Z., Messner, G. R., Alaverdyan, H., Ahuja, S., Koshy, R., Hanns, J., et al. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3729488 · Cited by 3 · see citing works
Walsh, A. E. L., Naughton, G., Sharpe, T., Zajkowska, Z., Malys, M. K., van Heerden, A. C., & Mondelli, V. (2022) · medRxiv · doi:10.1101/2022.06.16.22276510 · Cited by 3 · see citing works
Stutvoet, M. D., Vroegindeweij, A., Houtveen, J. H., van Litsenburg, R. R. L., van de Putte, E. M., Veltkamp, R. C., & Nijhof, S. L. (2025) · Trials · doi:10.1186/s13063-025-08960-1 · Cited by 2 · see citing works
Wright, L. A., Monk-Cunliffe, J., Guo, B., & Morriss, R. K. (2025) · JMIR Mental Health · doi:10.2196/79500 · Cited by 2 · see citing works
Cho, M., Park, D., Choo, M., Kim, J., & Han, D. H. (2024) · JMIR Formative Research · doi:10.2196/59623 · Cited by 2 · see citing works
Staab, P. A., Bhattacharya, A., & Slovák, P. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713859 · Cited by 2 · see citing works
Pillny, M., Mueser, K. T., Holden, J. L., Aarons, G. A., Sommerfeld, D. H., Perivoliotis, D., & Granholm, E. L. (2025) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaf103 · Cited by 2 · see citing works
Tamm, J., Takano, K., Just, L., Ehring, T., Rosenkranz, T., & Kopf-Beck, J. (2025) · The Behavior Therapist · doi:10.1016/j.beth.2025.08.002 · Cited by 1 · see citing works
Coenen, T., Maerevoet, M., Chen, S., Brouwer, M. D., Hoecke, S. V., Koster, E. H. W., Abeele, M. V., & Bombeke, K. (2025) · JMIR mhealth and uhealth · doi:10.2196/67141 · Cited by 2 · see citing works
Willemen, J. E., van de Weijer, S. V. D., Lousberg, R., van Amelsvoort, T., & Balthasar, A. J. R. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14093044 · 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
Psychophysiology in the digital age
van der Mee, D. J. (2023) · doi:10.5463/thesis.258
MAI: A Very Short History and the State of the Art
Rubeis, G. (2024) · The International library of ethics, law and technology · doi:10.1007/978-3-031-55744-6_3 · Cited by 1 · see citing works
Morgan, T., He, M., Nicholson, A., Sherman, S. E., & Stevens, E. R. (2024) · doi:10.2196/preprints.66709
Platt, B., Löchner, J., Danzer, V., Geissler, S. S., Frey, M., Compas, B. E., Schuler, C., Graf, P., Wiegand‐Grefe, S., & Schulte-Körne, A. G. (2025) · Kindheit und Entwicklung · doi:10.1026/0942-5403/a000470
Dynamic prediction of depressive states using stress processes: A multilevel decision tree approach
Luo, X., Yueqin, H. U., & Liu, H. (2025) · Acta Psychologica Sinica · doi:10.3724/sp.j.1041.2025.1363
Chung, Y., Gillis, B. W., Rahimi-Eichi, H., Holstein, V., Girard, J. M., Öngür, D., Onnela, J.-P., Rauch, S. L., Liebenthal, E., & Baker, J. T. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-04218-9 · Cited by 1 · see citing works
Keller, R., Negi, S., Kowatsch, T., von Wangenheim, F., Chua, X. H., Sim, X., van Dam, R. M., Müller‐Riemenschneider, F., Edney, S. M., & Mair, J. L. (2025) · doi:10.2196/preprints.84534
Riese, H., von Klipstein, L., Schoevers, R. A., van der Veen, D. C., & Servaas, M. N. (2021) · Figshare · doi:10.6084/m9.figshare.14196433
Self-citationBos, F. M., Snippe, E., Bruggeman, R., Doornbos, B., Wichers, M., & van der Krieke, L. (2020) · Figshare · doi:10.6084/m9.figshare.13311259
Yin, L., Li, M., Li, J., Hou, X., Song, J., Li, X., Tong, Y., Zhou, X., Yuan, L., Yin, H., et al. (2026) · JMIR Formative Research · doi:10.2196/74223
AI Revolution in Mental Health
Dehankar, P., Chaturvedi, K., & Das, S. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/407380
van Asselt, A., Huiskes, A., Ras, Y., Reekers, D., & Roke, Y. (2026) · doi:10.2196/preprints.94907
MAI: Eine sehr kurze Geschichte und der aktuelle Stand der Technik
Rubeis, G. (2026) · Springer eBooks · doi:10.1007/978-3-032-14301-3_3
Langner, E. M., Bittendorf, C. A., Mühlbauer, E., Severus, W. E., Bauer, M., Cleare, A. J., Lasch, A., Martini, J., Pfennig, A., Ebner‐Priemer, U., et al. (2026) · Neuroscience Applied · doi:10.1016/j.nsa.2026.107018
de Groot, E. C. S., Gadiraju, U., Kudina, O., Keijsers, L., Hillegers, M. H. J., & Brinkman, W. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1691697
Buzzi, M., Agrinier, N., Lalloué, B., Lequy, É., Ligier, F., O’Loughlin, J. L., Kestens, Y., & Minary, L. (2026) · SSM - Population Health · doi:10.1016/j.ssmph.2026.101956
- Authors
- van Genugten, C. R., Schuurmans, J., Lamers, F., Riese, H., Penninx, B. W. J. H., Schoevers, R. A., Riper, H. M., & Smit, J. H.
- Affiliations
- Department of Research and Innovation, GGZ inGeest, Specialized Mental Health Care, 1081 Amsterdam, The Netherlands
- Amsterdam Public Health (NL)
- University Medical Center Groningen (NL)
- University of Southern Denmark (DK)
- ORCID
- Venue
- Journal of Clinical Medicine
- Publisher
- MDPI AG
- Published
- 2020-01-23
- Volume
- 9
- Issue
- 2
- Pages
- 322
- ISSN
- 2077-0383 (ISSN-L)
- PMC
- PMC7073581
- OpenAlex
- W3001799799
- Cited by
- 71
- References
- 32
- Citations by year
- 2026: 9 · 2025: 17 · 2024: 9 · 2023: 8 · 2022: 14 · 2021: 6 · 2020: 8
- FWCI
- 8.71
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Clinical Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, cc-by)
- VU Research Portal (publishedVersion, other-oa)
- University of Southern Denmark Research Portal (University of Southern Denmark) (acceptedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Amsterdam University Medical Centers (10-000-1002)
- European Commission (115902, 2007–2013, FP7 2007-2013, FP7/2007, 334065)
- Universiteit Leiden (10‐000‐1002)
- Rijksuniversiteit Groningen (10‐000‐1002)
- ZonMw (10‐000‐1002)
- GGZ inGeest
- Rivierduinen
- GGZ Friesland
- GGZ Drenthe
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- ecological momentary assessment, smartphone-based assessment, mood disorders, perceived burden, adherence, remitted depression, positive and negative affect, feasibility
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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
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