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
Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9830-8 · Cited by 2,171
Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001362 · Cited by 1,766
Leventhal, H., Phillips, L. A., & Burns, E. (2016) · Journal of Behavioral Medicine · doi:10.1007/s10865-016-9782-2 · Cited by 1,350
Health behavior models in the age of mobile interventions: are our theories up to the task?
Riley, W. T., Rivera, D. E., Atienza, A. A., Nilsen, W., Allison, S. M., & Mermelstein, R. (2011) · Translational Behavioral Medicine · doi:10.1007/s13142-011-0021-7 · Cited by 978
Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments
Bakker, D., Kazantzis, N., Rickwood, D., & Rickard, N. (2016) · JMIR Mental Health · doi:10.2196/mental.4984 · Cited by 886
Experience sampling methodology in mental health research: new insights and technical developments.
Myin‐Germeys, I., Kasanova, Z., Vaessen, T., Vachon, H., Kirtley, O., Viechtbauer, W., & Reininghaus, U. (2018) · World Psychiatry · doi:10.1002/wps.20513 · Cited by 709
Mohr, D. C., Burns, M. N., Schueller, S. M., Clarke, G., & Klinkman, M. (2013) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2013.03.008 · Cited by 693
“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].”
Trull, T. J., & Ebner-Priemer, U. (2013) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050212-185510 · Cited by 761
Mobile medical and health apps: state of the art, concerns, regulatory control and certification
Kamel Boulos, M. N., Brewer, A. C., Karimkhani, C., Buller, D. B., & Dellavalle, R. P. (2014) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v5i3.4814 · Cited by 659
Design of an mHealth app for the self-management of adolescent type 1 diabetes: a pilot study
Cafazzo, J. A., Casselman, M., Hamming, N., Katzman, D. K., & Palmert, M. R. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2058 · Cited by 676
Harnessing context sensing to develop a mobile intervention for depression
Burns, M. N., Begale, M., Duffecy, J., Gergle, D., Karr, C. J., Giangrande, E., & Mohr, D. C. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1838 · Cited by 646
Free, C., Phillips, G., Felix, L., Galli, L., Patel, V., & Edwards, P. (2010) · BMC Research Notes · doi:10.1186/1756-0500-3-250 · Cited by 539
“diabetes care or chronic disease management [5,10,28]).”
mHealth: A Mechanism to Deliver More Accessible, More Effective Mental Health Care
Price, M., Yuen, E. K., Goetter, E. M., Herbert, J. D., Forman, E. M., Acierno, R., & Ruggiero, K. J. (2014) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.1855 · Cited by 488
Burke, L. E., Ma, J., Azar, K. M. J., Bennett, G. G., Peterson, E. D., Zheng, Y., Riley, W., Stephens, J., Shah, S. H., Suffoletto, B., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000232 · Cited by 516
Newman, M. G., Szkodny, L. E., Llera, S. J., & Przeworski, A. (2011) · Clinical Psychology Review · doi:10.1016/j.cpr.2010.09.008 · Cited by 480
Activity space environment and dietary and physical activity behaviors: A pilot study
Zenk, S. N., Schulz, A. J., Matthews, S. A., Odoms‐Young, A. M., Wilbur, J., Wegrzyn, L. R., Gibbs, K. P., Braunschweig, C. L., & Stokes, C. (2011) · Health & Place · doi:10.1016/j.healthplace.2011.05.001 · Cited by 479
The Experience Sampling Method on Mobile Devices
van Berkel, N., Ferreira, D., & Kostakos, V. (2018) · ACM Computing Surveys · doi:10.1145/3123988 · Cited by 432
E-Mental Health: A Rapid Review of the Literature
Lal, S., & Adair, C. E. (2014) · Psychiatric Services · doi:10.1176/appi.ps.201300009 · Cited by 417
Enablers and barriers to effective diabetes self-management: A multi-national investigation
Adu, M. D., Malabu, U. H., Malau‐Aduli, A. E. O., & Malau‐Aduli, B. S. (2019) · PLoS ONE · doi:10.1371/journal.pone.0217771 · Cited by 469
Diabetes structured self-management education programmes: a narrative review and current innovations
Chatterjee, S., Davies, M. J., Heller, S., Speight, J., Snoek, F. J., & Khunti, K. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30239-5 · Cited by 372
Is Ego Depletion Real? An Analysis of Arguments
Friese, M., Loschelder, D. D., Gieseler, K., Frankenbach, J., & Inzlicht, M. (2018) · Personality and Social Psychology Review · doi:10.1177/1088868318762183 · Cited by 438
Psychological interventions to foster resilience in healthcare professionals
Kunzler, A. M., Helmreich, I., Chmitorz, A., König, J., Binder, H., Wessa, M., & Lieb, K. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012527.pub2 · Cited by 390
Addressing critical gaps in the treatment of eating disorders
Kazdin, A. E., Fitzsimmons‐Craft, E. E., & Wilfley, D. E. (2017) · International Journal of Eating Disorders · doi:10.1002/eat.22670 · Cited by 389
Smartphone-Based Recognition of States and State Changes in Bipolar Disorder Patients
Grunerbl, A., Muaremi, A., Osmani, V., Bahle, G., Ohler, S., Troster, G., Mayora, O., Haring, C., & Lukowicz, P. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2343154 · Cited by 384
Kirwan, M., Vandelanotte, C., Fenning, A., & Duncan, M. J. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2588 · Cited by 343
Chandrashekar, P. (2018) · mHealth · doi:10.21037/mhealth.2018.03.02 · Cited by 359
Reliability and Validity of Ambulatory Cognitive Assessments
Sliwinski, M. J., Mogle, J. A., Hyun, J., Muñoz, E., Smyth, J. M., & Lipton, R. B. (2016) · Assessment · doi:10.1177/1073191116643164 · Cited by 361
Self-citationTorous, J., Friedman, R., & Keshavan, M. (2014) · JMIR mHealth and uHealth · doi:10.2196/mhealth.2994 · Cited by 287
There’s an App for That: Content Analysis of Paid Health and Fitness Apps
West, J. H., Hall, P. C., Hanson, C. L., Barnes, M. D., Giraud-Carrier, C., & Barrett, J. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1977 · Cited by 314
Kramer, 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
Granholm, E. L., Ben‐Zeev, D., Link, P. C., Bradshaw, K., & Holden, J. L. (2011) · Schizophrenia Bulletin · doi:10.1093/schbul/sbr155 · Cited by 300
Villinger, K., Wahl, D. R., Boeing, H., Schupp, H. T., & Renner, B. (2019) · Obesity Reviews · doi:10.1111/obr.12903 · Cited by 310
The Role of Ambulatory Assessment in Psychological Science
Trull, T. J., & Ebner-Priemer, U. (2014) · Current Directions in Psychological Science · doi:10.1177/0963721414550706 · Cited by 284
Heron, K. E., Everhart, R. S., McHale, S. M., & Smyth, J. M. (2017) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsx078 · Cited by 283
Self-citationWeight loss—there is an app for that! But does it adhere to evidence-informed practices?
Breton, E. R., Fuemmeler, B. F., & Abroms, L. C. (2011) · Translational Behavioral Medicine · doi:10.1007/s13142-011-0076-5 · Cited by 276
Mobile Interventions for Severe Mental Illness: Design and Preliminary Data From Three Approaches
Depp, C. A., Mausbach, B., Granholm, E., Cardenas, V., Ben-Zeev, D., Patterson, T. L., Lebowitz, B. D., & Jeste, D. V. (2010) · Journal of Nervous & Mental Disease · doi:10.1097/nmd.0b013e3181f49ea3 · Cited by 265
Mobile technologies among people with serious mental illness: Opportunities for future services
Ben-Zeev, D., Davis, K. E., Kaiser, S., Krzsos, I., & Drake, R. E. (2013) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-012-0424-x · Cited by 249
Salivary markers of inflammation in response to acute stress
Slavish, D. C., Graham‐Engeland, J. E., Smyth, J. M., & Engeland, C. G. (2014) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2014.08.008 · Cited by 274
Self-citationAgerwala, S. M., & McCance-Katz, E. F. (2012) · Journal of Psychoactive Drugs · doi:10.1080/02791072.2012.720169 · Cited by 258
Just-in-the-Moment Adaptive Interventions (JITAI): A Meta-Analytical Review
Wang, L., & Miller, L. C. (2020) · Health Communication · doi:10.1080/10410236.2019.1652388 · Cited by 264
de Vries, L. P., Baselmans, B. M. L., & Bartels, M. (2020) · Journal of Happiness Studies · doi:10.1007/s10902-020-00324-7 · Cited by 288
Ecological momentary assessment methodology in chronic pain research: a systematic review
May, M., Junghaenel, D. U., Ono, M., Stone, A. A., & Schneider, S. (2018) · The Journal of Pain · doi:10.1016/j.jpain.2018.01.006 · Cited by 247
Majeed-Ariss, R., Baildam, E., Campbell, M., Chieng, A., Fallon, D., Hall, A., McDonagh, J. E., Stones, S. R., Thomson, W., & Swallow, V. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.5043 · Cited by 251
Features and functionality of the Iterapi platform for internet-based psychological treatment
Vlaescu, G., Alasjö, A., Miloff, A., Carlbring, P., & Andersson, G. (2016) · Internet Interventions · doi:10.1016/j.invent.2016.09.006 · Cited by 229
Sleep Quality Prediction From Wearable Data Using Deep Learning
Sathyanarayana, A., Joty, S., Fernández-Luque, L., Ofli, F., Srivastava, J., Elmagarmid, A. K., Arora, T., & Taheri, S. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6562 · Cited by 242
Mestdagh, M., Verdonck, S., Piot, M., Niemeijer, K., kilani, G., Tuerlinckx, F., Kuppens, P., & Dejonckheere, E. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1182175 · Cited by 267
Text Messaging-Based Interventions for Smoking Cessation: A Systematic Review and Meta-Analysis
Scott‐Sheldon, L. A. J., Lantini, R., Jennings, E., Thind, H. K., Rosen, R. K., Salmoirago‐Blotcher, E., & Bock, B. C. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5436 · Cited by 235
Ecological momentary interventions for mental health: A scoping review
Balaskas, A., Schueller, S. M., Cox, A. L., & Doherty, G. (2021) · PLOS ONE · doi:10.1371/journal.pone.0248152 · Cited by 235
Bibliometric analysis of worldwide scientific literature in mobile - health: 2006–2016
Sweileh, W. M., Al-Jabi, S. W., AbuTaha, A. S., Zyoud, S. H., Anayah, F. M. A., & Sawalha, A. F. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-017-0476-7 · Cited by 319
Annual Research Review: Ecological momentary assessment studies in child psychology and psychiatry
Russell, M. A., & Gajos, J. M. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13204 · Cited by 252
From Venture Idea to Venture Opportunity
Vogel, P. M. (2016) · Entrepreneurship Theory and Practice · doi:10.1111/etap.12234 · Cited by 248
Ecological momentary interventions in psychiatry
Myin‐Germeys, I., Klippel, A., Steinhart, H., & Reininghaus, U. (2016) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000255 · Cited by 223
Use of the experience sampling method in the context of clinical trials
Verhagen, S. J. W., Hasmi, L., Drukker, M., van Os, J., & Delespaul, P. A. E. G. (2016) · Evidence Based Mental Health · doi:10.1136/ebmental-2016-102418 · Cited by 208
Within-Person Variability in Job Performance
Dalal, R. S., Bhave, D. P., & Fiset, J. E. (2014) · Journal of Management · doi:10.1177/0149206314532691 · Cited by 266
Depp, C. A., Ceglowski, J., Wang, V. C., Yaghouti, F., Mausbach, B. T., Thompson, W. K., & Granholm, E. L. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.10.053 · Cited by 215
Web-Based and Mobile Stress Management Intervention for Employees: A Randomized Controlled Trial
Heber, E., Lehr, D., Ebert, D. D., Berking, M., & Riper, H. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5112 · Cited by 213
Jones, A., Hardman, C. A., Lawrence, N., & Field, M. (2017) · Appetite · doi:10.1016/j.appet.2017.05.032 · Cited by 214
Versluis, A., Verkuil, B., Spinhoven, P., van der Ploeg, M. M., & Brosschot, J. F. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5642 · Cited by 186
Use of ecological momentary assessment in mood disorders research
Wenze, S. J., & Miller, I. W. (2010) · Clinical Psychology Review · doi:10.1016/j.cpr.2010.06.007 · Cited by 205
Dowshen, N., Kuhns, L. M., Johnson, A. K., Holoyda, B. J., & Garofalo, R. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2015 · Cited by 208
Maughan, B. C., Hersh, E. V., Shofer, F. S., Wanner, K. J., Archer, E., Carrasco, L., & Rhodes, K. V. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.08.016 · Cited by 204
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
The Pace of Technologic Change
Patrick, K., Hekler, E. B., Estrin, D., Mohr, D. C., Riper, H., Crane, D., Godino, J., & Riley, W. T. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.05.001 · Cited by 169
Developing mental health mobile apps: Exploring adolescents’ perspectives
Kenny, R., Dooley, B., & Fitzgerald, A. (2016) · Health Informatics Journal · doi:10.1177/1460458214555041 · Cited by 175
Buller, D. B., Borland, R., Bettinghaus, E. P., Shane, J. H., & Zimmerman, D. E. (2014) · Telemedicine and e-Health · doi:10.1089/tmj.2013.0169 · Cited by 178
Mobile phones as medical devices in mental disorder treatment: an overview
Gravenhorst, F., Muaremi, A., Bardram, J. E., Grünerbl, A., Mayora, O., Wurzer, G., Frost, M. M., Osmani, V., Bert Arnrich, A., Lukowicz, P., et al. (2014) · Personal and Ubiquitous Computing · doi:10.1007/s00779-014-0829-5 · Cited by 196
Perspectives on the Evolution of Mobile (mHealth) Technologies and Application to Rehabilitation
Dicianno, B. E., Parmanto, B., Fairman, A. D., Crytzer, T. M., Yu, D. X., Pramana, G., Coughenour, D., & Petrazzi, A. (2014) · Physical Therapy · doi:10.2522/ptj.20130534 · Cited by 197
Colombo, D., Fernández-Álvarez, J., Patané, A., Semonella, M., Kwiatkowska, M., García-Palacios, A., Cipresso, P., Riva, G., & Botella, C. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8040465 · Cited by 194
Cohn, A. M., Hunter‐Reel, D., Hagman, B. T., & Mitchell, J. N. (2011) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01571.x · Cited by 194
Suffoletto, B. P., Callaway, C. W., Kristan, J., Kraemer, K. L., & Clark, D. B. (2011) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01646.x · Cited by 190
The history and future of digital health in the field of behavioral medicine
Arigo, D., Jake‐Schoffman, D. E., Wolin, K. Y., Beckjord, E. B., Hekler, E. B., & Pagoto, S. (2019) · Journal of Behavioral Medicine · doi:10.1007/s10865-018-9966-z · Cited by 207
Bell, I. H., Lim, M. H., Rossell, S. L., & Thomas, N. (2017) · Psychiatric Services · doi:10.1176/appi.ps.201600523 · Cited by 189
Palmier‐Claus, J. E., Ainsworth, J. D., Machin, M., Barrowclough, C., Dunn, G., Barkus, E., Rogers, A. E., Wykes, T., Kapur, S., Buchan, I. E., et al. (2012) · BMC Psychiatry · doi:10.1186/1471-244x-12-172 · Cited by 189
Arambepola, C., Ricci‐Cabello, I., Manikavasagam, P., Roberts, N. W., French, D., & Farmer, A. A. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5425 · Cited by 197
Rhodes, R. E., & Dickau, L. (2012) · British Journal of Sports Medicine · doi:10.1136/bjsports-2011-090411 · Cited by 205
The SmartCAT: An m-Health Platform for Ecological Momentary Intervention in Child Anxiety Treatment
Pramana, G., Parmanto, B., Kendall, P. C., & Silk, J. S. (2014) · Telemedicine and e-Health · doi:10.1089/tmj.2013.0214 · Cited by 162
Birney, A. J., Gunn, R., Russell, J. K., & Ary, D. V. (2016) · JMIR mHealth and uHealth · doi:10.2196/mhealth.4231 · Cited by 159
“Consumers express high interest in, and willingness to use, mobile phones and short message service (SMS) text messaging to monitor and manage symptoms and cite essential considerations such as ease of use, privacy, and security [63-66].”
Moberg, C., Niles, A., & Beermann, D. (2019) · Journal of Medical Internet Research · doi:10.2196/12556 · Cited by 157
Reichert, M., Giurgiu, M., Koch, E. D., Wieland, L. M., Lautenbach, S., Neubauer, A., von Haaren‐Mack, B., Schilling, R., Timm, I., Notthoff, N., et al. (2020) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2020.101742 · Cited by 197
From Environment to Therapy in Psychosis: A Real-World Momentary Assessment Approach
Myin‐Germeys, I., Birchwood, M. J., & Kwapil, T. R. (2011) · Schizophrenia Bulletin · doi:10.1093/schbul/sbq164 · Cited by 177
A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study
Naughton, F., Hopewell, S., Lathia, N., Schalbroeck, R., Brown, C., Cecilia Mascolo, C., McEwen, A., & Sutton, S. R. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5787 · Cited by 173
Strategies for mHealth Research: Lessons from 3 Mobile Intervention Studies
Ben‐Zeev, D., Schueller, S. M., Begale, M. J., Duffecy, J. L., Kane, J. M., & Mohr, D. C. (2014) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-014-0556-2 · Cited by 181
Psychological interventions to foster resilience in healthcare students
Kunzler, A. M., Helmreich, I., König, J., Chmitorz, A., Wessa, M., Binder, H., & Lieb, K. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013684 · Cited by 177
Li, W. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2310354 · Cited by 167
Ecological momentary interventions for depression and anxiety
Schueller, S. M., Aguilera, A., & Mohr, D. C. (2017) · Depression and Anxiety · doi:10.1002/da.22649 · Cited by 168
Militello, L. K., Kelly, S. A., & Melnyk, B. M. (2012) · Worldviews on Evidence-Based Nursing · doi:10.1111/j.1741-6787.2011.00239.x · Cited by 164
Ivanova, E., Lindner, P., Ly, K. H., Dahlin, M., Vernmark, K., Andersson, G., & Carlbring, P. (2016) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2016.09.012 · Cited by 165
Dobson, R., Whittaker, R., Jiang, Y., Maddison, R., Shepherd, M., McNamara, C. M., Cutfield, R. G., Khanolkar, M., & Murphy, R. (2018) · BMJ · doi:10.1136/bmj.k1959 · Cited by 174
Batterham, P. J., & Calear, A. L. (2017) · JMIR Mental Health · doi:10.2196/mental.7722 · Cited by 161
The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study
Messner, E.-M., Terhorst, Y., Barke, A., Baumeister, H., Stoyanov, S., Hides, L., Kavanagh, D., Pryss, R., Sander, L., & Probst, T. (2020) · JMIR mHealth and uHealth · doi:10.2196/14479 · Cited by 156
Ramos, G., & Chavira, D. A. (2022) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2019.10.004 · Cited by 143
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 164
Bacigalupo, R., Cudd, P., Littlewood, C., Bissell, P., Hawley, M., & Woods, H. B. (2012) · Obesity Reviews · doi:10.1111/obr.12006 · Cited by 157
Assessing time-varying causal effect moderation in mobile health
Boruvka, A., Almirall, D., Witkiewitz, K., & Murphy, S. A. (2018) · Journal of the American Statistical Association · doi:10.1080/01621459.2017.1305274 · Cited by 152
Perera, A., Thomas, M. G., Moore, J. O., Faasse, K., & Petrie, K. (2014) · AIDS Patients Care and STDs · doi:10.1089/apc.2014.0156 · Cited by 155
Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges
Pejović, V., & Musolesi, M. (2013) · Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · doi:10.48550/arxiv.1306.2356 · Cited by 151
Ramanathan, N., Swendeman, D. T., Comulada, W. S., Estrin, D. L., & Rotheram‐Borus, M. J. (2012) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2012.05.009 · Cited by 153
Clusters, Trends, and Outliers
Butscher, S., Hubenschmid, S., Müller, J., Fuchs, J., & Reiterer, H. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173664 · Cited by 149
Kirchner, T., & Shiffman, S. S. (2016) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-016-1277-5 · Cited by 155
Witkiewitz, K., Desai, S. A., Bowen, S., Leigh, B. C., Kirouac, M., & Larimer, M. E. (2014) · Psychology of Addictive Behaviors · doi:10.1037/a0034747 · Cited by 134
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
