The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Internet-Delivered Cognitive Behavioural Therapy for Adults with Mild to Moderate Depression and High Cardiovascular Disease Risks: A Randomised Attention-Controlled Trial
Open accessAbstract
BACKGROUND AND AIM: Mild to moderate depression is common in those with cardiovascular disease and undertreated. We aimed to evaluate the effectiveness of internet-delivered Cognitive Behaviour Therapy (iCBT) on depressive symptom severity and adherence to medical advice and lifestyle interventions in adults with mild to moderate depression and high cardiovascular disease (CVD) risks. METHODS: Randomised double-blind, 12 week attention-controlled trial comparing an iCBT programme (E-couch) with an internet-delivered attention control health information package (HealthWatch, n = 282). The primary outcome was depression symptom level on the nine-item Patient Health Questionnaire (PHQ-9) (trial registration: ACTRN12610000085077). RESULTS: 487/562 (88%) participants completed the endpoint assessment. 383/562 (70%) were currently treated for cardiovascular disease and 314/562 (56%) had at least one other comorbid condition. In ITT analysis of 562 participants iCBT produced a greater decline in the mean PHQ-9 score compared to the attention control of 1.06 (95% CI: 0.23-1.89) points, with differences between the two arms increasing over the intervention period (time by treatment effect interaction p = .012). There were also larger improvements in adherence (2.16 points; 95% CI: 0.33-3.99), reductions in anxiety (0.96 points; 95% CI: 0.19-1.73), and a greater proportion engaging in beneficial physical activity (Odds Ratio 1.91, 95%CI: 1.01-3.61) in the iCBT participants but no effect upon disability, or walking time/day. There were no withdrawals due to study related adverse events. CONCLUSIONS: In people with mild to moderate depression and high levels of CVD risk factors, a freely accessible iCBT programme (http://www.ecouch.anu.edu.au) produced a small, but robust, improvement in depressive symptoms, adherence and some health behaviours. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry ACTRN12610000085077.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Furthermore, preliminary evidence suggests that iCBT may reduce symptoms of depression and anxiety for adults with high cardiovascular risk [14].”
The cited source says what the claim attributes to it.
In the citing paper
“Psychotherapy may also lead to increased engagement in lifestyle behaviors that positively influence physical health327,335.”
From Comorbidity between major depressive disorder and physical diseases: a comprehensive review of epidemiology, mechanisms and management (2023) · cites this paper as [335]
In the citing paper
“In general terms, our recruitment process may be seen as valid as it corresponds to what is common in iCBT studies [38,39,43].”
From An Internet-Based Cognitive Behavioral Therapy Program Adapted to Patients With Cardiovascular Disease and Depression: Randomized Controlled Trial (2019) · cites this paper as [38]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Brief Measure for Assessing Generalized Anxiety Disorder: The GAD-7
Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.10.1092 · Cited by 31,765 · cited 1×
“Prespecified tertiary outcomes [10] were; anxiety measured using the Generalised Anxiety Disorder Scale (GAD-7), [25] activity (using the International Physical Activity Questionnaire (IPAQ), [26] specifically the average time spent walking per day and a composite measure of undertaking enough exercise to provide a he…”
Yusuf, S., Hawken, S., Ôunpuu, S., Dans, T., Avezum, A., Lanas, F., McQueen, M., Budaj, A., Pais, P., Varigos, J., et al. (2004) · The Lancet · doi:10.1016/s0140-6736(04)17018-9 · Cited by 12,026
KESSLER, R. C., ANDREWS, G., COLPE, L. J., HIRIPI, E., MROCZEK, D. K., NORMAND, S.-L. T., WALTERS, E. E., & ZASLAVSKY, A. M. (2002) · Psychological Medicine · doi:10.1017/s0033291702006074 · Cited by 10,327 · cited 2×
“2) Psychological distress at recruitment to the health survey, defined with a high sensitivity as a Kessler-10 (K-10) [14] score of greater than or equal to 16.”
(1996) · Cited by 6,884
DiMatteo, M. R., Lepper, H. S., & Croghan, T. W. (2000) · Archives of Internal Medicine · doi:10.1001/archinte.160.14.2101 · Cited by 4,177 · cited 1×
“Depression is a major risk for poor adherence [3] and, if depression interventions, can also produce improvements in adherence this may translate into benefits in comorbid physical health disorder management.”
Depression, chronic diseases, and decrements in health: results from the World Health Surveys
Moussavi, S., Chatterji, S., Verdes, E., Tandon, A., Patel, V., & Ustun, B. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61415-9 · Cited by 4,070 · cited 1×
“[2] One important factor that may explain this worse outcome is poor adherence to CVD treatment and lifestyle recommendations.”
Eysenbach, G. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.1.e11 · Cited by 2,524 · cited 1×
“[35] A more nuanced understanding of the poorer persistence in the more demanding active arm, and whether this even needs addressing, is required.”
Developing the World Health Organization Disability Assessment Schedule 2.0
Üstün, T. B., Chatterji, S., Kostanjsek, N., Rehm, J., Kennedy, C., Epping-Jordan, J., Saxena, S., von Korff, M., & Pull, C. (2010) · Bulletin of the World Health Organization · doi:10.2471/blt.09.067231 · Cited by 1,851 · cited 1×
“[27].”
Internet-Based and Other Computerized Psychological Treatments for Adult Depression: A Meta-Analysis
Andersson, G., & Cuijpers, P. (2009) · Cognitive Behaviour Therapy · doi:10.1080/16506070903318960 · Cited by 1,368 · cited 2×
“Internet interventions (e-health) may be well suited to this purpose since they have been shown to deliver efficacious psychological intervention programmes [4,5] for depression on a large scale in a cost effective manner.”
Monitoring Depression Treatment Outcomes With the Patient Health Questionnaire-9
L??we, B., Un??tzer, J., Callahan, C. M., Perkins, A. J., & Kroenke, K. (2004) · Medical Care · doi:10.1097/00005650-200412000-00006 · Cited by 1,354 · cited 15×
“Symptom severity was determined using PHQ-9 scores [16,17], where scores ranging from 8 to 14 were classified as moderate, and scores ranging from 15 to 27 classified as major.”
Influential
Cited by
Sorted by citations
European Guidelines on cardiovascular disease prevention in clinical practice (version 2012)
Authors/Task Force Members:, Perk, J., De Backer, G., Gohlke, H., Graham, I., Reiner, Ž., Verschuren, M., Albus, C., Benlian, P., Boysen, G., et al. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehs092 · Cited by 8,490
2016 European Guidelines on cardiovascular disease prevention in clinical practice
Piepoli, M. F., Hoes, A. W., Agewall, S., Albus, C., Brotons, C., Catapano, A. L., Cooney, M.-T., Corrà, U., Cosyns, B., Deaton, C., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw106 · Cited by 6,457
2016 European Guidelines on cardiovascular disease prevention in clinical practice
Authors/Task Force Members, Piepoli, M. F., Hoes, A. W., Agewall, S., Albus, C., Brotons, C., Catapano, A. L., Cooney, M. T., Corrà, U., Cosyns, B., et al. (2016) · European Journal of Preventive Cardiology · doi:10.1177/2047487316653709 · Cited by 1,435
“behavioural therapy in depressed patients with high CVD risk produced small, but robust, improvement of depressive symptoms, adherence and some health behaviours.(246)”
World Health Organization disability assessment schedule 2.0: An international systematic review
Federici, S., Bracalenti, M., Meloni, F., & Luciano, J. V. (2016) · Disability and Rehabilitation · doi:10.1080/09638288.2016.1223177 · Cited by 542
“[263] Glozier N, Christensen H, Naismith S, et al.”
Background2016 European Guidelines on cardiovascular disease prevention in clinical practice
Piepoli, M. F., Hoes, A. W., Agewall, S., Albus, C., Brotons, C., Catapano, A. L., Cooney, M. T., Corrà, U., Cosyns, B., Deaton, C., et al. (2016) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2016.05.037 · Cited by 502
Digital interventions for the treatment of depression: a meta-analytic review
Moshe, I., Terhorst, Y., Philippi, P., Domhardt, M., Cuijpers, P., Cristea, I., Pulkki-Råback, L., Baumeister, H., & Sander, L. B. (2021) · Psychological Bulletin · doi:10.1037/bul0000334 · Cited by 390
The Empirical Evidence for Telemedicine Interventions in Mental Disorders
Bashshur, R. L., Shannon, G. W., Bashshur, N., & Yellowlees, P. (2015) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2015.0206 · Cited by 466
Christensen, H., Batterham, P. J., Gosling, J. A., Ritterband, L. M., Griffiths, K. M., Thorndike, F. P., Glozier, N., O'Dea, B., Hickie, I. B., & Mackinnon, A. J. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00536-2 · Cited by 365
Self-citationBerk, M., Köhler‐Forsberg, O., Turner, M., Penninx, B. W. J. H., Wrobel, A., Firth, J., Loughman, A., Reavley, N. J., McGrath, J. J., Momen, N. C., et al. (2023) · World Psychiatry · doi:10.1002/wps.21110 · Cited by 336
Donkin, L., Hickie, I. B., Christensen, H., Naismith, S. L., Neal, B., Cockayne, N. L., & Glozier, N. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2771 · Cited by 193
Self-citationMobile Health Devices as Tools for Worldwide Cardiovascular Risk Reduction and Disease Management
Piette, J. D., List, J. M., Rana, G., Townsend, W. A., Striplin, D., & Heisler, M. (2015) · Circulation · doi:10.1161/circulationaha.114.008723 · Cited by 232
“A trial conducted in Australia evaluated an Internet-delivered cognitive behavioral therapy intervention among patients at high risk for cardiovascular disease who had comorbid depression and found improvements relative to randomized controls in psychological symptoms, self-reported medication adherence, and health be…”
InfluentialF. Piepoli, M. (2017) · International Journal of Behavioral Medicine · doi:10.1007/s12529-016-9583-6 · Cited by 162
“Internet-delivered cognitive behavioural therapy in depressed patients with high CVD risk produced small, but robust, improvement of depressive symptoms, adherence and some health behaviours [246].”
Mehta, S., Peynenburg, V. A., & Hadjistavropoulos, H. D. (2019) · Journal of Behavioral Medicine · doi:10.1007/s10865-018-9984-x · Cited by 153
Evidence-Based Evaluation of eHealth Interventions: Systematic Literature Review
Enam, A., Torres-Bonilla, J., & Eriksson, H. (2018) · Journal of Medical Internet Research · doi:10.2196/10971 · Cited by 162
“[60] CONSORT 12 weeks 562 Qn: Survey with standardized questionnaire (PHQ-9, MOS, GAD-7, IPAQ, WHODAS-II).”
Method2016 European Guidelines on cardiovascular disease prevention in clinical practice
Piepoli, M. F., Hoes, A. W., Agewall, S., Albus, C., Brotons, C., Catapano, A. L., Cooney, M. T., Corrà, U., Cosyns, B., Deaton, C., et al. (2016) · Kardiologia Polska · doi:10.5603/kp.2016.0120 · Cited by 152
Norlund, F., Wallin, E., Olsson, E. M. G., Wallert, J., Burell, G., von Essen, L., & Held, C. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9710 · Cited by 110
Cognitive-Behavioral Therapy in the Digital Age: Presidential Address
Wilhelm, S., Weingarden, H. M., Ladis, I., Braddick, V., Shin, J. Y., & Jacobson, N. C. (2019) · Behavior Therapy · doi:10.1016/j.beth.2019.08.001 · Cited by 128
“Although I-CBT is effective and addresses key access barriers, most of its practice occurs within one setting (i.e., at home, in front of one’s computer).”
BackgroundInfluentialLaMonica, H. M., Davenport, T. A., Roberts, A., & Hickie, I. B. (2021) · JMIR Aging · doi:10.2196/21461 · Cited by 108
Self-citationZambrano, J., Celano, C. M., Januzzi, J. L., Massey, C. N., Chung, W., Millstein, R. A., & Huffman, J. C. (2020) · Journal of the American Heart Association · doi:10.1161/jaha.120.018686 · Cited by 120
LaMonica, H. M., English, A., Hickie, I. B., Ip, J., Ireland, C., West, S., Shaw, T. J., Mowszowski, L., Glozier, N., Duffy, S. L., et al. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7981 · Cited by 107
Self-citationComputer-Assisted Cognitive-Behavior Therapy and Mobile Apps for Depression and Anxiety
Wright, J. H., Mishkind, M., Eells, T. D., & Chan, S. R. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1031-2 · Cited by 93
Batterham, P. J., Christensen, H. M., Mackinnon, A. J., Gosling, J. A., Thorndike, F. P., Ritterband, L. M., Glozier, N., & Griffiths, K. M. (2017) · BJPsych Open · doi:10.1192/bjpo.bp.117.005231 · Cited by 85
Self-citationJohansson, P., Westas, M., Andersson, G., Alehagen, U., Broström, A., Jaarsma, T., Mourad, G., & Lundgren, J. (2019) · JMIR Mental Health · doi:10.2196/14648 · Cited by 77
Palacios, J. E., Lee, G., Duaso, M. J., Clifton, A., Norman, I. J., Richards, D., & Barley, E. A. (2017) · The Journal of Cardiovascular Nursing · doi:10.1097/jcn.0000000000000392 · Cited by 64
“Attrition was high in 2 of the studies (ie, more than 10%): Varnfield et al (2014)26 had end-point data on 26 of 41 control group participants and 46 of 53 intervention group participants.”
MethodInfluentialOehler, C., Görges, F., Rogalla, M., Rummel‐Kluge, C., & Hegerl, U. (2020) · Journal of Medical Internet Research · doi:10.2196/15361 · Cited by 57
“Glozier et al [17] conducted a double-blind study on an internet-based cognitive behavioral therapy (iCBT) program.”
Personal health technology: A new era in cardiovascular disease prevention
Franklin, N. C., Lavie, C. J., & Arena, R. A. (2015) · Postgraduate Medicine · doi:10.1080/00325481.2015.1015396 · Cited by 55
Baou, C. E., Desai, R., Cooper, C., Marchant, N. L., Pilling, S., Richards, M., Saunders, R., Buckman, J. E. J., Aguirre, E., John, A., et al. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad188 · Cited by 59
“Understanding the mediating role of life-style changes in the relationship between improvement from symptoms of depression and CVD would allow further development of tailored interventions for people at risk of CVD, by targeting realistic treatment goals that may be protective of CVD. Findings from this study suggest…”
InfluentialUtility of the LIBRA Index in Relation to Cognitive Functioning in a Clinical Health Seeking Sample
Pons, A., LaMonica, H. M., Mowszowski, L., Köhler, S., Deckers, K., & Naismith, S. L. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-170731 · Cited by 45
Self-citationLifestyle management to prevent atherosclerotic cardiovascular disease: evidence and challenges
Trier, T. J. V., Mohammadnia, N., Snaterse, M., Peters, R. J. G., Jorstad, H. T., & Bax, W. A. (2021) · Netherlands Heart Journal · doi:10.1007/s12471-021-01642-y · Cited by 56
“high ASCVD risk (n=562) significantly improved depressive symptoms and adherence to medication, and improved levels of physical activity [76].”
BackgroundBatterham, P. J., Calear, A. L., Farrer, L., McCallum, S. M., & Cheng, V. W. S. (2018) · Internet Interventions · doi:10.1016/j.invent.2017.08.002 · Cited by 48
DeLuca, J. S., Andorko, N. D., Chibani, D., Jay, S. Y., Rouhakhtar, P. R., Petti, E., Klaunig, M. J., Thompson, E. C., Millman, Z. B., Connors, K. M., et al. (2020) · Journal of Psychotherapy Integration · doi:10.1037/int0000211 · Cited by 46
“Similarly, telehealth interventions focused on promotion of physical activity within helpseeking groups have shown success (Moran et al., 2018), including particular promise for those studies using web-delivered CBT programs in lieu of traditional psychotherapy (Glozier et al., 2013).”
Farrand, P., & Woodford, J. (2015) · Annals of Behavioral Medicine · doi:10.1007/s12160-015-9689-0 · Cited by 45
Islam, S. M. S., Chow, C. K., Redfern, J., Kok, C., Rådholm, K., Stepien, S., Rodgers, A., & Hackett, M. L. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-022637 · Cited by 44
Wallin, E., Norlund, F., Olsson, E. M. G., Burell, G., Held, C., & Carlsson, T. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9690 · Cited by 36
Schneider, L. H., Hadjistavropoulos, H. D., Dear, B. F., & Titov, N. (2020) · Internet Interventions · doi:10.1016/j.invent.2020.100324 · Cited by 43
Tao, T. J., Lim, T. K., Yeung, E. T. F., Liu, H., Shris, P. B., Lawrence, K., Lee, T. M. C., & Hou, W. K. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00809-8 · Cited by 52
Humphries, S., Wallert, J., Norlund, F., Wallin, E., Burell, G. K., von Essén, L., Held, C., & Olsson, E. M. G. (2021) · Journal of Medical Internet Research · doi:10.2196/25465 · Cited by 43
“Some trials have used therapy conducted online, often in the form of internet-based cognitive behavioral therapy, to treat depression in patients with heart failure [15], cardiovascular disease [16], and with high-cardiovascular disease risk [17], but before the U-CARE Heart trial [18], no study had offered internet-b…”
BackgroundHeterogeneity of Treatment Effects in Internet- and Mobile-Based Interventions for Depression
Terhorst, Y., Kaiser, T., Brakemeier, E., Moshe, I., Philippi, P., Cuijpers, P. J., Baumeister, H., & Sander, L. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.23241 · Cited by 35
Effects of eHealth-Based Interventions on Adherence to Components of Cardiac Rehabilitation
Kebapçı, A., Ozkaynak, M., & Lareau, S. C. (2019) · The Journal of Cardiovascular Nursing · doi:10.1097/jcn.0000000000000619 · Cited by 33
Leveraging remote behavioral health interventions to improve medical outcomes and reduce costs.
Pande, R. L., Morris, M., Peters, A., Spettell, C. M., Feifer, R. A., & Gillis, W. (2015) · PubMed · Cited by 31
Psychological interventions in cardiovascular disease
Tan, M. P., & Morgan, K. (2015) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000181 · Cited by 31
“A freely accessibly internet-based Cognitive Behavioral Therapy (CBT) programme (E-couch) was found to have an effect on mildto-moderate depression in participants with high cardiovascular risk [15].”
Web-based interventions for comorbid depression and chronic illness: a systematic review
Charova, E., Dorstyn, D., Tully, P., & Mittag, O. (2015) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x15571997 · Cited by 30
“CBT was the primary framework, with four studies utilising registered or trainee psychologists to promote completion of session material and homework tasks.(28,32,33,35) Additional online resources included a bulletin board, peer-led discussion forum and instructional videos.”
BackgroundResultDigital Interventions for Psychological Comorbidities in Chronic Diseases—A Systematic Review
Maisto, M., Diana, B., Di Tella, S., Matamala-Gomez, M., Montana, J. I., Rossetto, F., Mavrodiev, P. A., Cavalera, C., Blasi, V., Mantovani, F., et al. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11010030 · Cited by 30
A review of web-based support systems for students in higher education
Παπαδάτου-Παστού, Μ., Goozée, R., Payne, E., Barrable, A., & Tzotzoli, P. (2017) · International Journal of Mental Health Systems · doi:10.1186/s13033-017-0165-z · Cited by 35
Lin, T., Yu, P.-T., Lin, L., Liu, P., Li, Y.-D., Hsu, C.-T., Cheng, Y.-R., Yeh, C., Wong, S.-S., Pai, S.-A., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0207931 · Cited by 26
Computer-Assisted CBT and Mobile Apps for Depression: Assessment and Integration Into Clinical Care
Wright, J. H., & Mishkind, M. C. (2020) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.20190044 · Cited by 27
Wang, M., Chen, H., Yang, F., Xu, X., & Li, J. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.06.057 · Cited by 25
Initial Field Trial of a Coach-Supported Web-Based Depression Treatment
Schueller, S. M., & Mohr, D. C. (2015) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.4108/icst.pervasivehealth.2015.260115 · Cited by 25
“Some web-based interventions, have tied lesson release to site use[14].”
Treatment of affective disorders in cardiac disease
Mavrides, N. A., & Nemeroff, C. B. (2015) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2015.17.2/nmavrides · Cited by 25
Effects of a Health‐Partner Intervention on Cardiovascular Risk
Mheid, I. A., Kelli, H. M., Ko, Y., Hammadah, M., Ahmed, H. N., Hayek, S. S., Vaccarino, V., Ziegler, T. R., Gibson, G. C., Lampl, M., et al. (2016) · Journal of the American Heart Association · doi:10.1161/jaha.116.004217 · Cited by 25
Zhao, D., Lustria, M. L. A., & Hendrickse, J. (2017) · Patient Education and Counseling · doi:10.1016/j.pec.2017.01.004 · Cited by 27
Westas, M., Lundgren, J., Andersson, G., Mourad, G., & Johansson, P. (2022) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvab131 · Cited by 22
Artom, M., Czuber‐Dochan, W., Sturt, J. A., & Norton, C. S. (2017) · Trials · doi:10.1186/s13063-017-1926-3 · Cited by 24
“The GAD7 has been utilised in studies assessing anxiety severity in diverse conditions, including: patients with eating disorders [124]; multiple sclerosis [125]; and cardiovascular disease [126].”
MethodLaMonica, H. M., Biddle, D. J., Naismith, S. L., Hickie, I. B., Maruff, P. T., & Glozier, N. (2018) · PLoS ONE · doi:10.1371/journal.pone.0203343 · Cited by 19
“As previously reported [20], over the course of the study, participants in both arms showed improvements in depressive symptoms, significantly greater in the active arm, although with a small effect size.”
BackgroundMethodResultInfluentialSelf-citationKöhnen, M., Dirmaier, J., & Härter, M. C. (2019) · Fortschritte der Neurologie · Psychiatrie · doi:10.1055/a-0853-2568 · Cited by 19
“Beispielsweise gibt es Studien, die die Wirksamkeit von IMI bei Menschen mit Psoriasis [20], Diabetes [21], chronisch obstruktiver Lungenerkrankung [22], Migräne [23], Herzkreislauferkrankungen [24] und onkologischen Erkrankungen untersuchten [25].”
BackgroundWang, S., Gao, L., Wang, C., Bai, J., Shen, M., Zhao, X., & Lin, M. F. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1433558 · Cited by 22
Loveys, K., Antoni, M. H., Donkin, L., Sagar, M. A., & Broadbent, E. (2022) · JMIR Formative Research · doi:10.2196/42390 · Cited by 21
“The results add to a growing body of literature showing the promise of VH, teletherapy, and self-guided e-manuals for delivering remote psychological therapies [4,37,55,56].”
ResultSelf-citationDeady, M., Johnston, D. A., Glozier, N., Milne, D., Choi, I., Mackinnon, A., Mykletun, A., Calvo, R. A., Gayed, A., Bryant, R., et al. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-020510 · Cited by 14
Self-citationSu, J. J., Lin, R. S. Y., Baťalík, L., Wong, A. K. C., & Grace, S. L. (2025) · Journal of Medical Internet Research · doi:10.2196/57368 · Cited by 17
“Depression was measured by 11 studies using the Hospital Anxiety and Depression Scale (HADS) [34,35,38,42], Beck Depression Inventory [24,36], Patient Health Questionnaire–9 [33,37,39,41], or the Depression, Anxiety, and Stress Scale (DASS) [31].”
InfluentialZion, S. R., Taub, C. J., Heathcote, L. C., Ramiller, A., Tinianov, S., McKinley, M., Eich, G., Penedo, F. J., Ganz, P. A., Antoni, M. H., et al. (2023) · JCO Oncology Practice · doi:10.1200/op.23.00210 · Cited by 16
“31,32 Statistical Analysis”
Wang, M. L., Lemon, S. C., Whited, M. C., & Rosal, M. C. (2014) · Annals of Behavioral Medicine · doi:10.1007/s12160-014-9606-y · Cited by 16
Clunne, S. J., Ryan, B., Hill, A. J., Brandenburg, C., & Kneebone, I. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9864 · Cited by 16
“One of the RCTs for e-couch included participants with a previous doctor’s diagnosis of heart disease, stroke, or hypertension [46].”
BackgroundMethodInfluentialMartiniuk, A. L. C., Toepfer, A., & Lane-Brown, A. T. (2023) · Journal of Mental Health · doi:10.1080/09638237.2023.2182422 · Cited by 14
“Glozier ’ s (2013) RCT of online treatment for people with depression reported that after enrolment 44 participants reported a risk of deliberate self-harm: 21 in the intervention arm and 23 in the control arm.”
Adhikary, D., Barman, S., & Ranjan, R. (2023) · Cureus · doi:10.7759/cureus.37822 · Cited by 16
Sasseville, M., LeBlanc, A., Tchuente, J., Boucher, M., Dugas, M., Mbemba, G. I. C., Barony, R., Chouinard, M., Beaulieu, M., Beaudet, N., et al. (2023) · Systematic Reviews · doi:10.1186/s13643-023-02241-1 · Cited by 16
van den Houdt, S. C. M., Albus, C., Herrmann‐Lingen, C., Widdershoven, J. W. M. G., & Kupper, N. H. M. (2022) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2022.110791 · Cited by 13
E-mental health services in Australia 2014: current and future
Christensen, H. M., Proudfoot, J. G., Woodward, A., Hosie, A., Klein, B., Morgan, C., Kavanagh, D. J., Andrews, G., Harman, G., Burns, J. S., et al. (2014) · Swinburne figshare (Swinburne University of Technology) · Cited by 13
Self-citationGlobal sensitivity analysis of clinical trials with missing patient-reported outcomes
Scharfstein, D. O., & McDermott, A. (2018) · Statistical Methods in Medical Research · doi:10.1177/0962280218759565 · Cited by 14
“[58] N Glozier, H Christensen, S Naismith, N Cockayne, L Donkin, B Neal, A Mackinnon, and I Hickie.”
BackgroundCognitive-Behavioral Therapy for Depressive Symptoms in Persons of African Descent: A Meta-Analysis
Gregory, V. L. (2015) · Journal of Social Service Research · doi:10.1080/01488376.2015.1084973 · Cited by 13
“, 2010); or the race of the participants not being reported (Austin et al., 2008; Glozier et al., 2013; B. A. Jones, Griffiths, Christensen, Ellwood, & Bennett, 2013).”
BackgroundMethodCognitive Behavioral Therapy with Older Adults
Ishikawa, R. Z., & Mace, R. A. (2023) · Current clinical psychiatry · doi:10.1007/978-3-031-29368-9_26 · Cited by 12
Rajeshkumar, L., Mishkind, M. C., Coleman, J. J., Pahwa, M., LaPreze, D., Solenske, S., & Wright, J. H. (2024) · Journal of Psychiatric Practice · doi:10.1097/pra.0000000000000815 · Cited by 12
Neher, M., Nygårdh, A., Nilsén, P., Broström, A., & Johansson, P. (2019) · European Journal of Cardiovascular Nursing · doi:10.1177/1474515119833251 · Cited by 12
Fisher, E. B., Chan, J. C. N., Kowitt, S. D., Nan, H., Sartorius, N., & Oldenburg, B. F. (2014) · Key issues in mental health (Online)/Key issues in mental health (Print) · doi:10.1159/000365522 · Cited by 10
Skaczkowski, G., van der Kruk, S., Loxton, S., Hughes-Barton, D., Howell, C., Turnbull, D., Jensen, N., Smout, M., & Gunn, K. (2022) · JMIR Mental Health · doi:10.2196/31018 · Cited by 9
“Process evaluation score, n (%)b,c Total number of relevant evaluation items, N Level of evidenceaType of research evaluation studiesProgram 11 (85)13BeyondNow •• Level III-3Feasibility and effectiveness study [42] 11 (69)16—fCCId—Depression • Website: not specified • Beacone: not reviewed 12 (75)16CCI—Health Anxiety…”
BackgroundFarrer, L. M., Jackson, H. M., Gulliver, A., Calear, A. L., Leach, L., Hasking, P. A., Katruss, N., & Batterham, P. J. (2024) · Journal of Medical Internet Research · doi:10.2196/53598 · Cited by 10
“A similar program has previously been shown not to be associated with therapeutic reductions in depression [49].”
Uses of Artificial Intelligence in Psychology
Irshad, S., Azmi, S., & Begum, N. (2022) · Journal of Health and Medical Sciences · doi:10.31014/aior.1994.05.04.242 · Cited by 11
Mayo, A. L., Fung, V., Hitzig, S. L., Gould, S., Posa, S., deLuca, L. S., & Kayssi, A. (2022) · Disability and Rehabilitation · doi:10.1080/09638288.2022.2144492 · Cited by 9
Latent profiles of early trauma & Type D personality: sex differences in cardiovascular risk markers
van Montfort, E., Mommersteeg, P. M. C., Spek, V., & Kupper, N. H. M. (2018) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2018.02.009 · Cited by 9
Technology-based mental health assessment and intervention
Gould, C. E., Ma, F., Loup, J. R., Juang, C., Sakai, E. Y., & Pepin, R. L. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-800136-3.00024-7 · Cited by 12
Moran, J., Kelly, G. A., Haberlin, C., Mockler, D., & Broderick, J. M. (2018) · HRB Open Research · doi:10.12688/hrbopenres.12796.3 · Cited by 11
Psychosocial factors and coronary heart disease
Kubareva, M. I., & Ибатов, А. Д. (2019) · Terapevticheskii arkhiv · doi:10.26442/00403660.2019.12.000086 · Cited by 7
Miki, T., Yamada, J., Ishida, S., Sakui, D., Kanai, M., & Hagiwara, Y. (2024) · JMIR Formative Research · doi:10.2196/56380 · Cited by 6
“A study in Australia showed that web-based cognitive behavioral therapy improved psychological symptoms, medication adherence, and health behaviors in patients at a high risk of cardiovascular diseases [11].”
BackgroundVitale, E., Genovese, V. V., & Allenet, B. (2021) · Education thérapeutique du patient - Therapeutic patient education · doi:10.1051/tpe/2021007 · Cited by 7
Wilhelm, S., Greenberg, J. L., Jacoby, R. J., Weingarden, H. M., Hoeppner, S. S., Klare, D. L., Snorrason, Í., Jaroszewski, A. C., McCoy, T. H., & Harrison, O. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-02230-9 · Cited by 6
“Perspectives participants self-reported more time on their program than those in HealthWatch at mid-point (median [IQR] minutes/week: app 30 [15 – 49]; HealthWatch 19 [10 – 30]; p = 0.002).”
InfluentialJones, D., Yue, J. T. S., Nguyen, T. N., Ahmad, F., & Chow, C. K. (2025) · Open Heart · doi:10.1136/openhrt-2025-003680 · Cited by 6
“73 Another study of hospitalised cardiac patients found better adherence following improvement in depressive symptoms at 6 months.”
Moran, J., Kelly, G. A., Haberlin, C., Mockler, D., & Broderick, J. M. (2018) · HRB Open Research · doi:10.12688/hrbopenres.12796.2 · Cited by 4
Williams, M. K., Shell, A. L., Wu, W., MacDonald, K. L., Callahan, C. M., Nürnberger, J. I., Crawford, C. A., Schuiling, M. D., & Stewart, J. C. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120272 · Cited by 3
Psychotherapy and Psychological Support for Severe Heart Conditions
Sommaruga, M., & Pierobon, A. (2020) · Springer eBooks · doi:10.1007/978-3-030-28008-6_26 · Cited by 3
Examining Outcomes and Challenges of Telepsychiatry in Australian Elderly: A Scoping Review
Abazari, S., Moulaei, K., & George, M. K. (2023) · Journal of Aging Research · doi:10.1155/2023/8864591 · Cited by 2
Qiu, Y., Liu, J., Yu, Y., Zeng, L., Yue, Y., Gu, J., Tong, M., & Yang, F. (2025) · Psychiatry Research · doi:10.1016/j.psychres.2025.116589 · Cited by 2
Hosono, T., Tsutsumi, R., Niwa, Y., & Kondoh, M. (2025) · Journal of Medical Internet Research · doi:10.2196/74905 · Cited by 2
“A total of 32 studies, which adopted GAD-7, DASS-A, or HADS-A as assessment scores were included in the meta-analysis with the total number of 5311 [21,23,25,27,29,31,35,38,40-42,45,47,48,50,53-59,62,63,65-7 0].”
Leung, D. K. Y., Wong, D. H. S., Wong, F. H. C., Wong, S. M. Y., Chan, O. L. H., Wong, G. H. Y., Chan, W. C., & Lum, T. Y. S. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119756 · Cited by 2
Ding, M., Wang, M., Gao, M., Zou, J., Li, L., Chen, J., Yan, L., Li, M., Zhong, X., & Yuan, F. (2026) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvag052 · Cited by 2
Zhou, L., Jian, C. H. E. N., Lu, D., Xiaoqun, L. I. U., & Su, L. (2014) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2014.00977 · Cited by 2
“…Fraley, & Abela, 2005), 几 个 星 期 (Abela, Parkinsona, Stolowa, & Starrsa, 2009; Abela et al., 2011; Brozina & Abela, 2006; Haeffel et al., 2007; Haeffel, 2010; Hankin, 2008a; Lee, Hankin, & Mermelstein, 2010), 半年 (Steca et al., 2014), 甚至几年后 (Abela & McGirr, 2007; Cole et al., 2008)抑郁症状…”
Batterham, P. J., Thorndike, F. P., Gerwien, R. W., Botbyl, J. D., Ritterband, L. M., Maricich, Y. A., & Christensen, H. M. (2023) · Behavioral Sleep Medicine · doi:10.1080/15402002.2023.2285799 · Cited by 3
Self-citationThe Use of Technology to Augment Clinical Care in Depression and Anxiety Disorders: An Evidence Map
Maher, A. R., Apaydin, E. A., Raaen, L. B., Motala, A., Shanman, R., & Hempel, S. (2019) · RAND Corporation eBooks · doi:10.7249/rr2177 · Cited by 2
“…et al., 2012; Gallego et al., 2011; Geraedts, Kleiboer, Twisk, et al., 2014; Geraedts, Kleiboer, Wiezer, et al., 2014; Gilbody et al., 2015; Glozier et al., 2013; Glueckauf et al., 2012; Gorini et al., 2010; Griffiths et al., 2012; Grime, 2004; Hallgren et al., 2016; Hazen, Vasey, and…”
Stéphan, F., Galudec, M. L., Tritschler-LeMaître, M.-H., Berrouiguet, S., & Walter, M. (2014) · Journal de Thérapie Comportementale et Cognitive · doi:10.1016/j.jtcc.2014.05.002 · Cited by 2
Psychosocial Interventions for Patients After a Cardiac Event
Jackson, A. C., Murphy, B. M., Ski, C. F., & Thompson, D. R. (2015) · Springer eBooks · doi:10.1007/978-981-4560-53-5_47-1 · Cited by 2
Brief Discussion on Current Computerized Cognitive Behavioral Therapy
Cai, H., Wei, S., Han, X., Xu, L., Sha, X., & Hu, B. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-23344-4_41 · Cited by 2
Köhnen, M., Dirmaier, J., & Härter, M. C. (2021) · PPH · doi:10.1055/a-1276-7296 · Cited by 2
“[24] Glozier N, Christensen H, Naismith S et al.”
Background
Metadata
- Authors
- Glozier, N., Christensen, H., Naismith, S., Cockayne, N., Donkin, L., Neal, B., Mackinnon, A., & Hickie, I.
- Affiliations
- Black Dog Institute (AU)
- The University of Sydney (AU)
- The University of Melbourne (AU)
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-03-26
- Volume
- 8
- Issue
- 3
- Pages
- e59139
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3608590
- OpenAlex
- W2025841958
- Cited by
- 129
- References
- 40
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 7 · 2023: 18 · 2022: 10 · 2021: 10 · 2020: 9 · 2019: 9 · 2018: 15 · 2017: 9 · 2016: 9 · 2015: 14 · 2014: 5 · 2013: 1
- FWCI
- 14.77
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion, cc-by-nc-nd)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by)
- The Sydney eScholarship Repository (The University of Sydney) (submittedVersion)
- UNSWorks (UNSW Sydney) (submittedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- National Heart Foundation of Australia (G08S 4048)
- NSW Ministry of Health
- Cancer Council NSW
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
- Keywords
- internet-based cognitive behavioral therapy, mild to moderate depression, cardiovascular risk, adherence to medical advice, lifestyle intervention, physical activity, anxiety, PHQ-9, health information interventions
- MeSH terms
- Attention, Cardiovascular Diseases, Depression, Double-Blind Method, Female, Humans, Male, Middle Aged, Quality of Life, Surveys and Questionnaires, Risk, Severity of Illness Index, Cognitive Behavioral Therapy, Treatment Outcome, Telemedicine, Internet
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
