The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index; none of the 8 sources its claims cite is checked for support yet.
Ecological momentary interventions: Incorporating mobile technology into psychosocial and health behaviour treatments
Open accessAbstract
PURPOSE: Psychosocial and health behaviour treatments and therapies can be extended beyond traditional research or clinical settings by using mobile technology to deliver interventions to individuals as they go about their daily lives. These ecological momentary interventions (EMIs) are treatments that are provided to people during their everyday lives (i.e. in real time) and in natural settings (i.e. real world). The goal of the present review is to synthesize and critique mobile technology-based EMI aimed at improving health behaviours and psychological and physical symptoms. METHODS: Twenty-seven interventions using palmtop computers or mobile phones to deliver ambulatory treatment for smoking cessation, weight loss, anxiety, diabetes management, eating disorders, alcohol use, and healthy eating and physical activity were identified. RESULTS: There is evidence that EMI can be successfully delivered, are accepted by patients, and are efficacious for treating a variety of health behaviours and physical and psychological symptoms. Limitations of the existing literature were identified and recommendations and considerations for research design, sample characteristics, measurement, statistical analyses, and clinical implementation are discussed. CONCLUSIONS: Mobile technology-based EMI can be effectively implemented as interventions for a variety of health behaviours and psychological and physical symptoms. Future research should integrate the assessment and intervention capabilities of mobile technology to create dynamically and individually tailored EMI that are ecologically sensitive.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
15 Own result · 3 No basis given · 2 Sources not found · 2 Not checked yet · 2 Own method
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In other words, incorporating EMI into treatment allowed the number of therapy sessions to be reduced by about half, while maintaining similar treatment efficacy.”
§ Ecological Momentary Interventions: Incorporating Mobile Technology Into Psychosocial and Health Behavior Treatments > Review and Critique of Intervention Design, Delivery, and Outcomes > Treatment Efficacy
In the paper
“In one study participants receiving the CBT and EMI lost more weight than those receiving CBT alone immediately post treatment (8 vs. 3 pounds), and at 24 weeks (16 vs. 4 pounds) and 40 weeks (18 vs. 2 pounds) after the intervention (Burnett et al., 1985), suggesting EMI may enhance treatment gains of CBT.”
§ Ecological Momentary Interventions: Incorporating Mobile Technology Into Psychosocial and Health Behavior Treatments > Review and Critique of Intervention Design, Delivery, and Outcomes > Treatment Efficacy
What the sources say
- Not checked yetcites Burnett et al., 1985 source
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The majority of the studies reviewed provided EMI as only one component in a treatment protocol (k=23, 85%; see Table 2, Additional Treatment Components).”
§ Ecological Momentary Interventions: Incorporating Mobile Technology Into Psychosocial and Health Behavior Treatments > Review and Critique of Intervention Design, Delivery, and Outcomes > Ecological Momentary Intervention [EMI] Features
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As this review demonstrates, EMI can take many forms, and have been used as a treatment in and of itself or (more commonly) as a supplement to other psychological or medical treatments.”
§ Ecological Momentary Interventions: Incorporating Mobile Technology Into Psychosocial and Health Behavior Treatments > Overall Conclusions and Recommendations for Research and Practice
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Overall, these findings provide evidence that EMI delivered via palmtop computers and mobile phones are perceived as credible and generally acceptable to participants.”
§ Ecological Momentary Interventions: Incorporating Mobile Technology Into Psychosocial and Health Behavior Treatments > Review and Critique of Intervention Design, Delivery, and Outcomes > Treatment Efficacy
None of the sources cited for this claim could be matched to a paper in Crossref, so there is nothing to check it against.
In the paper
“Half of these studies included a control condition and each found that participants in the EMI conditions were more likely to self-report abstinence after the intervention (Brendryen et al., 2008; Brendryen & Kraft, 2008; Rodgers et al., 2005; Vidrine et al., 2006).”
§ Ecological Momentary Interventions: Incorporating Mobile Technology Into Psychosocial and Health Behavior Treatments > Review and Critique of Intervention Design, Delivery, and Outcomes > Treatment Efficacy
What the sources say
- Not matchedcites Brendryen et al., 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites Brendryen & Kraft, 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites Rodgers et al., 2005
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matched
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“About two-thirds of the studies (k=19) used EMI with tailored content, three (11%) include a combination of tailored and generic messages, and five (19%) used only generic messages (Table 2, EMI Content Tailored).”
§ Ecological Momentary Interventions: Incorporating Mobile Technology Into Psychosocial and Health Behavior Treatments > Review and Critique of Intervention Design, Delivery, and Outcomes > Ecological Momentary Intervention [EMI] Features
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Empirical evidence suggests EMI can be effective at encouraging smoking cessation, improving weight loss in overweight women, and reducing anxiety symptoms.”
§ Ecological Momentary Interventions: Incorporating Mobile Technology Into Psychosocial and Health Behavior Treatments > Review and Critique of Intervention Design, Delivery, and Outcomes > Treatment Efficacy
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These studies provide some evidence that EMI, requiring minimal therapist time and effort, can be used either as an alternative to, or to enhance, CBT or psychoeducation.”
§ Ecological Momentary Interventions: Incorporating Mobile Technology Into Psychosocial and Health Behavior Treatments > Review and Critique of Intervention Design, Delivery, and Outcomes > Treatment Efficacy
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The majority of studies (k=19, 70%) used an algorithm-based automated system to deliver the EMI, but one quarter (k=7) required a person to review participant data, select and send appropriate messages, or have a conversation with participants, and one study used a system including both automated and manual EMI deliver”
§ Ecological Momentary Interventions: Incorporating Mobile Technology Into Psychosocial and Health Behavior Treatments > Review and Critique of Intervention Design, Delivery, and Outcomes > Ecological Momentary Intervention [EMI] Features
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Sharing recovery experiences has been demonstrated to allow patients to gain some control over their illness8 and reduce symptoms in depression,9 substance use disorders10 and eating disorders.11”
From Recovery-focused self-help intervention using vodcasts for patients with personality disorder: Feasibility randomised controlled trial (2024) · cites this paper as [8]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Mobile-based interventions show advantages such as a high accessibility to the internet, independence of time and location regarding treatment delivery, provision of context-sensitive feedback, real-time data collection as well as the use of sensor technology for data collection (Heron and Smyth, 2010; Proudfoot, 2013).”
From A mobile application for panic disorder and agoraphobia: Insights from a multi-methods feasibility study (2020) · cites this paper as Heron and Smyth, 2010
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Similar findings have been identified in EMI studies for depression, smoking, and other additive behaviors. 8,45”
From Effectiveness of mobile technologies delivering Ecological Momentary Interventions for stress and anxiety: A systematic review (2016) · cites this paper as [8]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Interventions delivered via mobile phones facilitate frequent engagement as users go about their daily lives [12,13] and afford users the opportunity to apply the skills and behaviors promoted by the intervention directly in real time to their real life experiences [14].”
From Feasibility of "CopeSmart": A Telemental Health App for Adolescents (2015) · cites this paper as [14]
The cited source says what the claim attributes to it.
In the citing paper
“Real-time tailored feedback can reinforce target behaviors [22], which, for individuals with a visible difference, could include the practice of social skills training (an evidence-based component to help individuals manage difficult social encounters [23]), tailored mindfulness practices, and valued goals related to appearance concerns.”
From An Acceptance and Commitment Therapy Prototype Mobile Program for Individuals with a Visible Difference: Mixed Methods Feasibility Study (2022) · cites this paper as [22]
The cited source says what the claim attributes to it.
In the citing paper
“Other broader reviews have previously noted that more trials are needed on the effectiveness of EMI. 8,20”
From Effectiveness of mobile technologies delivering Ecological Momentary Interventions for stress and anxiety: A systematic review (2016) · cites this paper as [8]
In the citing paper
“the content of interventions can be adapted for each individual not only initially but also over time based on his/her prior outcome data, prior responses to specific intervention outputs, current environmental and/or social context, and a range of other variables that might influence the optimal intervention based on the current state of the individual (i.e., ecological momentary interventions) [”
From Health behavior models in the age of mobile interventions: are our theories up to the task? (2011) · cites this paper as [90]
In the citing paper
“Trials of mobile BITs have found some positive short-term benefits for anxiety disorders (39), eating disorders (40), bipolar disorder (41), and schizophrenia (42), although others have not been effective at treating depression (43).”
From Behavioral Intervention Technologies: Evidence review and recommendations for future research in mental health (2013) · cites this paper as [39]
In the citing paper
“Given that this literature is limited and of variable quality, it is premature to make any definitive conclusions regarding the efficacy of mobile BITs (39).”
From Behavioral Intervention Technologies: Evidence review and recommendations for future research in mental health (2013) · cites this paper as [39]
In the citing paper
“They can provide almost constant support to users, in comparison to interventions that can only be accessed at specific times or in specific locations (eg, during visits to a therapist’s office) [14]. Furthermore, as it is not unusual to see young people interacting with their mobile phones in public, they provide a discrete and confidential means of intervention delivery [11].”
From Feasibility of "CopeSmart": A Telemental Health App for Adolescents (2015) · cites this paper as [14]
In the citing paper
“The use of smartphones offers specific benefits in terms of high user engagement [42], including the opportunity to deliver ecological momentary interventions [43].”
From Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man) (2016) · cites this paper as [43]
In the citing paper
“These interventions have produced favorable outcomes in areas such as weight loss, physical activity, smoking cessation, and anxiety [3-7].”
In the citing paper
“Ecological Momentary Interventions (EMIs) (Heron and Smyth, 2010) and mental health (mHealth) applications (Naslund et al., 2015) are innovative approaches to provide psychological support through mobile devices in everyday life, without necessarily involving the presence of a real therapist or a face-to-face clinical setting.”
From New Technologies for the Understanding, Assessment, and Intervention of Emotion Regulation (2019) · cites this paper as Heron and Smyth, 2010
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.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Ecological Momentary Interventions: Incorporating Mobile Technology Into Psychosocial and Health Behavior Treatments > Review and Critique of Intervention Design, Delivery, and Outcomes > Ecological Momentary Intervention [EMI] Features
“only two interventions (7%) provided EMI without any additional treatment support (Weitzel et al., 2007; Whittaker et al., 2008).”
§ Ecological Momentary Interventions: Incorporating Mobile Technology Into Psychosocial and Health Behavior Treatments > Review and Critique of Intervention Design, Delivery, and Outcomes > Ecological Momentary Intervention [EMI] Features
“Three studies in this review demonstrated EMI can be effectively implemented alone without additional treatment support (Agras et al., 1990; Weitzel et al., 2007; Whittaker et al., 2008)”
Citations
Cites
Ecological momentary assessment
Shiffman, S., Stone, A. A., & Hufford, M. R. (2008) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.3.022806.091415 · Cited by 6,454
Validity and reliability of the Experience-Sampling Method
CSIKSZENTMIHALYI, M., & LARSON, R. (1987) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-198709000-00004 · Cited by 2,544
Ecological Momentary Assessment (Ema) in Behavioral Medicine
Stone, A. A., & Shiffman, S. (1994) · Annals of Behavioral Medicine · doi:10.1093/abm/16.3.199 · Cited by 1,931
Synthesizing Research: A Guide for Literature Reviews
Cooper, H. (1998) · Cited by 1,285
One size does not fit all: the case for tailoring print materials
Kreuter, M. W., Strecher, V. J., & Glassman, B. (1999) · Annals of Behavioral Medicine · doi:10.1007/bf02895958 · Cited by 831
Experience Sampling: Promises and Pitfalls, Strengths and Weaknesses
Scollon, C. N., Kim‐Prieto, C., & Diener, E. (2003) · Journal of Happiness Studies · doi:10.1023/a:1023605205115 · Cited by 827
Rodgers, A., Corbett, T., Bramley, D., Riddell, T., Wills, M., Lin, R.-B., & Jones, M. (2005) · Tobacco Control · doi:10.1136/tc.2005.011577 · Cited by 732
A Text Message–Based Intervention for Weight Loss: Randomized Controlled Trial
Patrick, K., Raab, F., Adams, M. A., Dillon, L., Zabinski, M., Rock, C. L., Griswold, W. G., & Norman, G. J. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1100 · Cited by 671
Research Design in Clinical Psychology
Kazdin, A. E. (2023) · Cambridge University Press eBooks · doi:10.1017/9781108976589 · Cited by 656
Statistical Considerations in the Intent-to-Treat Principle
Lachin, J. M. (2000) · Controlled Clinical Trials · doi:10.1016/s0197-2456(00)00046-5 · Cited by 652
Research works printed but not linked: 2
- Fahrenberg J., 1996, Ambulatory assessment: Computer‐assisted psychological and psychophysiological methods in monitoring and field studies, 3
- Pickering T., 1991, Stress, coping, and diseases, 35
Cited by
Sorted by citations
Items 901–1,000 of 1,002
van Aubel, E., Vaessen, T., Uyttebroek, L., Steinhart, H., Klippel, A., Batink, T., van Winkel, R., de Haan, L., van der Gaag, M., van Amelsvoort, T., et al. (2024) · JMIR Formative Research · doi:10.2196/57109 · Cited by 8
Chiou, W., Kao, C.-Y., Lo, L., Huang, D., Wang, M.-H., & Chen, B.-H. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-58637-3_15 · Cited by 6
Technical challenges to deliver sensor-based psychological interventions using smartphones
González‐Pérez, A., Miralles, I., Granell, C., & Casteleyn, S. (2019) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3341162.3346271 · Cited by 6
Caplin, A., Beauchamp, M. R., Weiss, J., Schilf, S., Hives, B. A., DeLongis, A., Johansen, K. L., Epel, E. S., & Puterman, E. M. (2021) · Affective Science · doi:10.1007/s42761-020-00026-6 · Cited by 7
Smart-Hadir – Mobile Based Attendance Management System
Kheau, C. S., On, C. K., Hijazi, M. H. A., & Singh, M. M. (2021) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v15i14.22677 · Cited by 6
Schwaninger, P., Berli, C., Lüscher, J., & Scholz, U. (2021) · Social Science & Medicine · doi:10.1016/j.socscimed.2021.114330 · Cited by 8
Kianersi, S., Ludema, C., Agley, J. D., Ahn, Y., Parker, M. A., Ideker, S., & Rosenberg, M. S. (2023) · Addiction · doi:10.1111/add.16228 · Cited by 7
Hesse, S., Rullmann, M., Zientek, F., Schewe, D., Becker, G., Patt, M., Meyer, P., Juarascio, A. S., Frank, G. K. W., Sabri, O., et al. (2023) · International Journal of Eating Disorders · doi:10.1002/eat.24080 · Cited by 7
Veilleux, J. C., Clift, J. B., Brott, K. H., Warner, E. A., Schreiber, R. E., Henderson, H. M., & Shelton, D. (2024) · Cognition & Emotion · doi:10.1080/02699931.2024.2305400 · Cited by 11
MyTrack+: Human-centered design of an mHealth app to support long-term weight loss maintenance
Chen, Y.-P., Woodward, J., Shankar, M. N., Bista, D., Ugwoaba, U. A., Brockmann, A., Ross, K. M., Ruiz, J., & Anthony, L. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1334058 · Cited by 6
Douphrate, D. I., Rodriguez, A., Kines, P., & Javid, A. H. (2024) · Workplace Health & Safety · doi:10.1177/21650799241302817 · Cited by 6
An Event-driven Psychophysiological Assessment for Health Care
Serino, S., Cipresso, P., Tartarisco, G., Baldus, G., Corda, D., Pioggia, G., Gaggioli, A., & Riva, G. (2012) · doi:10.5220/0003884200250034 · Cited by 6
Behaviour change interventions
Little, L., Bell, B. T., Defeyter, M. A., Read, J. C., Fitton, D., & Horton, M. (2013) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/2485760.2485894 · Cited by 6
CORREDOR, A mobile Human-Centric Sensing System for Activity Recognition.
Jaimes, L. G., & Vergara-Laurens, I. J. (2015) · Cited by 6
mDebugger: Assessing and Diagnosing the Fidelity and Yield of Mobile Sensor Data
Rahman, M., Ali, N., Bari, R., Saleheen, N., Al’Absi, M., Ertin, E., Kennedy, A., Preston, K. L., & Kumar, S. (2017) · Springer eBooks · doi:10.1007/978-3-319-51394-2_7 · Cited by 6
Integrative Review of Mobile Phone Contacts and Medication Adherence in Severe Mental Illness
Bright, C. E. (2018) · Journal of the American Psychiatric Nurses Association · doi:10.1177/1078390318754986 · Cited by 6
Internet of Things Applied to Mental Health: Concepts, Applications, and Perspectives
Teles, A. S., Barros, F., de Moura, I. R., Barbosa, A., Silva, F., Coutinho, L., & Teixeira, S. S. (2020) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-42934-8_4 · Cited by 6
Powell‐Wiley, T. M., Martinez, M. F., Tamura, K., Neally, S. J., O’Shea, K. J., Curlin, K., Albarracin, Y., Vijayakumar, N. P., Morgan, M., Ortiz-Chaparro, E. N., et al. (2022) · Journal of Medical Internet Research · doi:10.2196/30581 · Cited by 6
Exploring the Feasibility of Text Messaging Intervention in Intimate Partner Violence
Constantino, R. E., Wu, L., de la Cruz, D., Burroughs, J., Hwang, J. G., Henderson, A. J., & Braxter, B. (2014) · Open Journal of Nursing · doi:10.4236/ojn.2014.47056 · Cited by 6
Myneni, S., Fujimoto, K., & Cohen, T. (2017) · Health informatics · doi:10.1007/978-3-319-51732-2_15 · Cited by 10
The Use of New Communications Technologies to Evaluate and Intervene in Substance Use Disorders
McKay, J. R. (2014) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-014-0017-y · Cited by 6
Kramer, I. M. A. (2015) · Research Publications (Maastricht University) · doi:10.26481/dis.20150430ik · Cited by 6
Julià, A., Jaén, I., García‐Palacios, A., Pascual, J. C., Sintes, A., Lara, A., Méndez, I., Romero, S., Puntí, J., Soler, J., et al. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100826 · Cited by 5
Jang, S., Seo, Y., Choi, W., & Lee, U. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714208 · Cited by 6
Kaufmann, L., Baldofski, S., Golsong, K., Kohls, E., & Rummel‐Kluge, C. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1470554 · Cited by 7
How habitual is everyday life? An ecological momentary assessment study
Rebar, A. L., Vincent, G. E., Kovac, K., & Gardner, B. (2025) · Psychology and Health · doi:10.1080/08870446.2025.2561149 · Cited by 5
Preliminary effectiveness study of the Cope Notes digital mental Health program
Kosyluk, K. A., Tran, J. T., King, S. L., Torres, K., & Neal, T. J. (2023) · Journal of Mental Health · doi:10.1080/09638237.2023.2182424 · Cited by 5
Xie, X., Liang, L., Nan, Y., Zhang, L., & Xiao, L. (2024) · BMC Public Health · doi:10.1186/s12889-023-16496-9 · Cited by 5
Poluha, R. L., Macário, H. S., Câmara‐Souza, M. B., Canales, G. D. L. T., Ernberg, M. M., & Stuginski‐Barbosa, J. (2024) · Journal of Oral Rehabilitation · doi:10.1111/joor.13667 · Cited by 6
Tomczyk, S., & Ewert, C. (2025) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.70006 · Cited by 4
Ecological momentary interventions for bipolar disorder: a systematic review and meta-analysis
Hirbod‐Mobarakeh, A., Keshavarz‐Akhlaghi, A., Hadi, F., Eghdami, S., Hirbod-Mobarakeh, A., Kalhori, S. H., & Khanipour-Kencha, A. (2025) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-025-02845-z · Cited by 5
Jo, Y. S., Pyeon, A., Hu, M.-K., Kim, S. I., Choi, I. Y., Kim, D., & Chun, J. (2025) · JMIR mhealth and uhealth · doi:10.2196/66411 · Cited by 5
Zeman, J. E., Moon, P. S., McMahon, M. J., & Holley, A. B. (2018) · CHEST Journal · doi:10.1016/j.chest.2018.04.009 · Cited by 5
Leffler, J. M., Zelic, K. J., Kruser, A. F., & Lange, H. (2021) · Clinical Child Psychology and Psychiatry · doi:10.1177/13591045211000104 · Cited by 5
Heron, K. E., Braitman, A. L., Dawson, C. A., Sandoval, C. M., Butler, L. V., Moulder, A., & Lewis, R. J. (2022) · JMIR Research Protocols · doi:10.2196/41199 · Cited by 4
Self-citationEcological Momentary Assessment in Mindfulness Research
Grégoire, S., & Doucerain, M. M. (2023) · Springer eBooks · doi:10.1007/978-3-030-77644-2_78-1 · Cited by 7
Jang, S.-S., Lee, K.-R., Goh, G.-I., Kim, D., Yun, G., Kim, N., Lux, B. K., Woo, C.-W., Kim, H., & Park, Y. (2023) · Hum. Comput. Interact. · doi:10.1080/07370024.2023.2219259 · Cited by 9
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
Relationship between nonexercise activity and mood in patients with eating disorders
Olfermann, R., Schlegel, S., Vogelsang, A., Ebner‐Priemer, U., Zeeck, A., & Reichert, M. (2024) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13757 · Cited by 5
Toledo, M. J. L., Zawadzki, M. J., Scott, S., Johnson, J. A., Marcusson‐Clavertz, D., Kim, J., Lanza, S. T., Almeida, D. M., Sliwinski, M. J., & Smyth, J. M. (2024) · Stress and Health · doi:10.1002/smi.3501 · Cited by 5
Self-citationA meta-learning method for estimation of causal excursion effects to assess time-varying moderation
Shi, J., & Dempsey, W. (2025) · Biometrics · doi:10.1093/biomtc/ujaf129 · Cited by 5
Amlung, M. T., McCarty, K. N., Morris, D. H., Tsai, C., & McCarthy, D. M. (2015) · Addiction · doi:10.1111/add.13015 · Cited by 5
Melton, B. F., Bigham, L. E., & Bland, H. W. (2013) · Journal of Computing in Higher Education · doi:10.1007/s12528-013-9064-8 · Cited by 5
New Methods for Advancing Research on Tobacco Dependence Using Ecological Momentary Assessments
Lanza, S. T., Piper, M. E., & Shiffman, S. (2014) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntt213 · Cited by 5
Relapse prediction: A meteorology-inspired mobile model
Bishop, F. M. (2016) · Health Psychology Open · doi:10.1177/2055102916665934 · Cited by 5
Meule, A., & Vögele, C. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00388 · Cited by 5
Experiential Avoidance and Mood State in Bipolar Disorder
Wenze, S. J., Kats, D. M., & Gaudiano, B. A. (2018) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.32.2.88 · Cited by 5
Experience Sampling Response Modes: Comparing Voice and Online Surveys
French, K. A., Falcon, C. N., & Allen, T. (2018) · Journal of business and psychology · doi:10.1007/s10869-018-9560-y · Cited by 4
Beckjord, E., van Londen, G. J., & Rechis, R. (2016) · Oncology Informatics · doi:10.1016/b978-0-12-802115-6.00009-4 · Cited by 5
Basu, S., Garg, S., Kumar, R., & Shukla, A. (2017) · Indian Journal of Community Health · doi:10.47203/ijch.2017.v29i04.017 · Cited by 5
Fedele, D. A., Thomas, J. G., McQuaid, E. L., Gurka, M. J., Berg, C. A., & Prabhakaran, S. (2022) · Contemporary Clinical Trials · doi:10.1016/j.cct.2022.107011 · Cited by 5
Chaoyi, W. U., & Zhen, W. (2023) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2024.00364 · Cited by 6
Online Activity Levels Are Related to Caffeine Dependency
Phillips, J. G., Landhuis, C. E., Shepherd, D., & Ogeil, R. P. (2016) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2015.0653 · Cited by 5
A Conceptual Model for Designing a Gamified Intermittent Fasting Mobile App
Ansong, S., & Iahad, N. A. (2019) · International Conference on Research and Innovation in Information Systems · doi:10.1109/icriis48246.2019.9073629 · Cited by 4
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
Mobile Diary Methods in Studying Daily Family Life
Malinen, K., Rönkä, A. K., & Sevón, E. (2015) · IGI Global eBooks · doi:10.4018/978-1-4666-8239-9.ch032 · Cited by 5
Using Mobile Technologies to Advance the Study of Psychopathology among Children and Adolescents
George, M. J., Russell, M. A., & Odgers, C. L. (2017) · Wiley eBooks · doi:10.1002/9781118554470.ch3 · Cited by 6
van Aubel, E., Vaessen, T., van Winkel, R., Lafit, G., Klippel, A., Viechtbauer, W., Batink, T., van der Gaag, M., van Amelsvoort, T., Marcelis, M. C., et al. (2022) · medRxiv · doi:10.1101/2022.01.19.22269524 · Cited by 6
Pannicke, B., Kaiser, T., Reichenberger, J., & Jens Blechert, A. (2020) · doi:10.31234/osf.io/enur3 · Cited by 5
Sources of variance in bite count
Scisco, J. L. (2012) · TigerPrints (Clemson University) · Cited by 5
Böge, K., Bergmann, N., Hahne, I., Emde, L., Cartner, S., Bell, I., Pillny, M., & Thomas, N. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100804 · Cited by 4
Bouws, J., Uyttebroek, L., Beames, J. R., de Koning, M. B., Schirmbeck, F. N., Henrard, A., Reininghaus, U., de Haan, L., & Myin‐Germeys, I. (2025) · Early Intervention in Psychiatry · doi:10.1111/eip.70073 · Cited by 5
Bögemann, S. A., Krause, F., van Kraaij, A., Marciniak, M. A., van Leeuwen, J. M., Weermeijer, J. D. M., Mituniewicz, J., Puhlmann, L. M. C., Zerban, M., Reppmann, Z. C., et al. (2025) · Behavior Research Methods · doi:10.3758/s13428-025-02870-5 · Cited by 8
Effects of a health versus hedonic mindset on daily‐life snacking behaviour
Pimpini, L., Franssen, S., Reber, P., Jansen, A. T. M., & Roefs, A. (2023) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.13221 · Cited by 4
Mirzaei-Alavijeh, M., Hosseini, S. N., Niksirt, M., Hashemian, A. H., Khashij, S., & Jalilian, F. (2023) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-023-01291-5 · Cited by 4
Allan, D. D. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2259500 · Cited by 3
Creasy, S. L., Sweet, S., Myers, J. J., Shumway, M., Tolou‐Shams, M., McCaffrey, N., & Dauria, E. (2024) · JMIR Research Protocols · doi:10.2196/54815 · Cited by 4
Tsang, W. N., Lee, J. J., Yang, S. C., Poon, J. C. Y., & Lau, E. Y. Y. (2024) · Psychology Health & Medicine · doi:10.1080/13548506.2024.2332925 · Cited by 4
Shrier, L. A., McCaskill, N. H., Smith, M. C., O’Connell, M., Gluskin, B. S., Parker, S., Everett, V., Burke, P. J., & Harris, S. K. (2024) · Journal of Substance Use and Addiction Treatment · doi:10.1016/j.josat.2024.209472 · Cited by 4
A smartphone coaching program (“Bouge Grossesse”) improves daily physical activity in pregnant women
Muller, M., James, P., Merviel, P., Saraux, A., Guillodo, Y., Kerlan, V., Bouée, S., Nowak, E., Morgant, R., & Courtois-Communier, E. (2024) · Journal of Gynecology Obstetrics and Human Reproduction · doi:10.1016/j.jogoh.2024.102847 · Cited by 4
Rosteius, K., de Boer, B., Steinmann, G., & Verbeek, H. (2024) · International Psychogeriatrics · doi:10.1016/j.inpsyc.2024.100017 · Cited by 4
Fouyaxis, J., Bidargaddi, N. P., Du, W., Looi, J. C., & Lipschitz, J. M. (2024) · Digital Health · doi:10.1177/20552076241306782 · Cited by 6
Gil, M. L., Lozano, C. P., Quílez-Robres, A., & Quintas‐Hijós, A. (2021) · Cultura Ciencia y Deporte · doi:10.12800/ccd.v16i48.1746 · Cited by 4
Błachnio, A., Przepiórka, A., Gorbaniuk, O., McNeill, M., Bendayan, R., Durak, M., Şenol-Durak, E., Ben‐Ezra, M., Benvenuti, M., Angeluci, A. C. B., et al. (2022) · Frontiers research topics · doi:10.3389/978-2-88974-249-3 · Cited by 4
Within-person variability in job performance
Alaybek, B., & Dalal, R. S. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-813995-0.00042-x · Cited by 5
Lazeron-Savu, E., Lenaert, B., Ponds, R., & Heugten, C. M. V. (2022) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2022.2059524 · Cited by 4
Memiah, P. T. N., Lathan-Dye, M., Opanga, Y., Muhula, S. O., Gitahi, N., Kamau, A., & Otiso, L. (2022) · Adolescents · doi:10.3390/adolescents2020014 · Cited by 4
Hilbert, A., Juarascio, A. S., Prettin, C., Petroff, D., Schlögl, H., & Hübner, C. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-064394 · Cited by 7
Ader, L., Schick, A., Löffler, M., Löffler, A., Beiner, E., Eich, W., Vock, S., Sirazitdinov, A., Malone, C., Hesser, J., et al. (2023) · JMIR Research Protocols · doi:10.2196/43376 · Cited by 4
Johansen, S. K., Kanstrup, A. M., Thomsen, J. L., Christensen, M. N., & Rathleff, M. S. (2023) · Digital Health · doi:10.1177/20552076231205750 · Cited by 4
Jackson, K. M., Meisel, M. K., Sokolovsky, A. W., Chen, K., & Barnett, N. P. (2024) · JMIR Research Protocols · doi:10.2196/50650 · Cited by 5
Goal-oriented action: New perspectives with special emphasis on neurorehabilitation
Winstein, C. J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23987-8.00002-x · Cited by 4
Delage, N., Cantagrel, N., Soriot‐Thomas, S., Frost, M., Deleens, R., Giniès, P., Eschalier, A., Corteval, A., Laveyssière, A., Phalip, J., et al. (2024) · JMIR mhealth and uhealth · doi:10.2196/54579 · Cited by 5
van Asselt, A., Hoeberichts, K., Demirel, S., Scheeren, A. M., & Roke, Y. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1469257 · Cited by 3
Vrillon, M., Romo, L., Kern, L., Dereux, A., & Gorwood, P. A. P. M. (2015) · Bulletin de psychologie · doi:10.3917/bupsy.535.0063 · Cited by 4
Computerized experience-sampling approach for realtime assessment of stress
Serino, S., Cipresso, P., Tartarisco, G., Baldus, G., Corda, D., Pioggia, G., Gaggioli, A., & Riva, G. (2013) · ICST Transactions on Ambient Systems · doi:10.4108/trans.amsys.01-06.2013.e5 · Cited by 4
Jeeves - an Experience Sampling study creation tool
Rough, D. J., & Quigley, A. J. (2017) · St Andrews Research Repository (St Andrews Research Repository) · Cited by 4
Behavioral medicine challenges in the shadow of a global pandemic
Brooks, A. T., Allen, H. K., Thornton, L. K., & Trevorrow, T. (2020) · Translational Behavioral Medicine · doi:10.1093/tbm/ibaa106 · Cited by 4
Promoting recovery in daily life: study protocol for a randomized controlled trial
Reis, D., Hart, A., Lehr, D., & Friese, M. (2021) · BMC Psychology · doi:10.1186/s40359-021-00591-w · Cited by 7
Galvin, K. L., Timmer, B. H. B., Tomlin, D., & Cleaver, Z. (2022) · American Journal of Audiology · doi:10.1044/2022_aja-22-00054 · Cited by 4
Yang, M., Schick, M. R., Sullivan, T. P., & Weiss, N. H. (2024) · Assessment · doi:10.1177/10731911231216948 · Cited by 5
Jansen, C., Bäuerle, A., Jahre, L. M., Kocol, D., Krakowczyk, J. B., Geiger, S., Dörrie, N., Skoda, E., & Teufel, M. (2024) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2023.0360 · Cited by 4
Martinez, S. A., Quaife, S. L., Hasan, A., McMillan, K. A., Beebe, L. A., & Muirhead, F. (2020) · Pilot and Feasibility Studies · doi:10.1186/s40814-020-00629-7 · Cited by 4
Importance and Opportunities of Telemedicine in Resource-Poor Countries during Epidemic Situation
Alshakka, M. A., Badulla, W. F. S., Al-Abd, N., & Ibrahim, M. I. M. (2021) · Current Journal of Applied Science and Technology · doi:10.9734/cjast/2021/v40i3331559 · Cited by 4
Greenlee, E. T., Funke, G. J., Hess, L. J., & Vidulich, M. A. (2022) · Applied Ergonomics · doi:10.1016/j.apergo.2021.103677 · Cited by 4
Burke, L. E., Zheng, Y., & Wang, J. (2018) · Springer eBooks · doi:10.1007/978-0-387-93826-4_19 · Cited by 5
Tobacco cues in India: An ecological momentary assessment
Borzekowski, D. L. G., & Chen-Sankey, J. C. (2016) · Tobacco Induced Diseases · doi:10.1186/s12971-016-0081-z · Cited by 4
Psychotherapies for addiction: Empirically supported interventions for the addiction syndrome.
Witkiewitz, K. A., Steckler, G., Gavrishova, A., Jensen, B., & Wilder, M. (2012) · American Psychological Association eBooks · doi:10.1037/13750-004 · Cited by 4
Spanakis, G., Weiß, G., Boh, B., Kerkhofs, V., & Roefs, A. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.09.225 · Cited by 4
An Ecological Momentary Intervention for people with social anxiety: A descriptive case study
Gee, B. L., Batterham, P. J., Gulliver, A., Reynolds, J., & Griffiths, K. M. (2021) · Informatics for Health and Social Care · doi:10.1080/17538157.2021.1896525 · Cited by 4
Metadata
- Authors
- Heron, K. E., & Smyth, J. M.
- Affiliations
- Syracuse University (US)
- Corresponding author
- Smyth, Joshua M.
- Venue
- British Journal of Health Psychology
- Publisher
- Wiley
- Published
- 2010-02
- Volume
- 15
- Issue
- 1
- Pages
- 1-39
- ISSN
- 1359-107X (ISSN-L)
- 2044-8287
- PMC
- PMC2800172
- OpenAlex
- W2048799165
- Cited by
- 1,438
- References
- 74
- Citations by year
- 2026: 94 · 2025: 96 · 2024: 96 · 2023: 88 · 2022: 109 · 2021: 126 · 2020: 115 · 2019: 109 · 2018: 98 · 2017: 103 · 2016: 113 · 2015: 88 · 2014: 72 · 2013: 63 · 2012: 38
- FWCI
- 3.94
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- British Journal of Health Psychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (F31MH082564)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- ecological momentary intervention, mobile technology, outpatient care, health behavior change, smoking cessation, weight loss, anxiety, diabetes management, eating disorders, alcohol consumption, physical activity, palmtop computers, mobile devices, treatment efficacy
- MeSH terms
- Adolescent, Adult, Alcoholism, Anxiety Disorders, Feeding and Eating Disorders, Mental Disorders, Child, Diabetes Mellitus, Feeding Behavior, Female, Health Promotion, Humans, Male, Middle Aged, Motor Activity, Obesity, Psychotherapy, Self Care, Weight Loss, Health Behavior, Smoking Cessation, Treatment Outcome, Patient Satisfaction, Computers, Handheld, Cell Phone, Young Adult
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.
A language model drew the claims from the paper on 2026-09-24 (prompt extract-v1).
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