The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.
A Meta-Analysis of Web-Delivered Tailored Health Behavior Change Interventions
Abstract
Web-based tailored intervention programs show considerable promise in effecting health-promoting behaviors and improving health outcomes across a variety of medical conditions and patient populations. This meta-analysis compares the effects of tailored versus nontailored web-based interventions on health behaviors and explores the influence of key moderators on treatment outcomes. Forty experimental and quasi-experimental studies (N =20,180) met criteria for inclusion and were analyzed using meta-analytic procedures. The findings indicated that web-based tailored interventions effected significantly greater improvement in health outcomes as compared with control conditions both at posttesting, d =.139 (95% CI = .111, .166, p <.001, k =40) and at follow-up, d =.158 (95% CI = .124, .192, p <.001, k =21). The authors found no evidence of publication bias. These results provided further support for the differential benefits of tailored web-based interventions over nontailored approaches. Analysis of participant/descriptive, intervention, and methodological moderators shed some light on factors that may be important to the success of tailored interventions. Implications of these findings and directions for future research are discussed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Tailoring can have a positive impact on intervention outcomes and engagement, but this varies between studies and contexts.31,52”
From Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions (2016) · cites this paper as [52]
In the citing paper
“Compared to more traditional knowledge transfer methods in digital health (eg, tailored modules), the conversational methods in virtual assistance may be perceived as more personally relevant and humanistic, which is critical given that perceived relevance and the inclusion of social support are associated with increased effect sizes in digital behavior change interventions [7,8].”
From A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study (2020) · cites this paper as [8]
In the citing paper
“Clinically relevant results, such as adopting a healthy lifestyle or adhering to medication, and statistically significant effect sizes of tailored Web-based interventions have been recognized for health behavior change among diverse populations facing chronic disease [20,29,30].”
From Tailored web-based interventions for pain: Systematic review and meta-analysis (2017) · cites this paper as [30]
In the citing paper
“A meta-analysis on tailored Web-based interventions in general found that expert input does not necessarily mean more efficacy [30].”
From Tailored web-based interventions for pain: Systematic review and meta-analysis (2017) · cites this paper as [30]
In the citing paper
“Hence, it has been shown that Web-based tailored interventions that are preventive in nature and targeting a general population, not a specific condition, were more successful [30].”
From Tailored web-based interventions for pain: Systematic review and meta-analysis (2017) · cites this paper as [30]
In the citing paper
“It is generally accepted that user engagement with DBCI is a precursor to improved health outcomes.”
From Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions (2019) · cites this paper as [5]
In the citing paper
“Growing evidence supports that interaction with DBCI and adherence to intervention features improve the likelihood of reaching desired health outcomes [5].”
From Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions (2019) · cites this paper as [5]
Citations
Cites
Yaşlı Kadınlarda Üreme Sağlığı
Kokanalı, D., & Engin Üstün, Y. (n.d.) · DergiPark (Istanbul University) · Cited by 170,090
Content Analysis: An Introduction to its Methodology.
Shelley, M., & Krippendorff, K. (1984) · Journal of the American Statistical Association · doi:10.2307/2288384 · Cited by 24,351
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
Wasserman, S. S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,377
Statistical Methods for Meta-Analysis.
Freeman, P. R., Hedges, L. V., & Olkin, I. (1986) · Biometrics · doi:10.2307/2531069 · Cited by 4,840
Meta-Analytic Procedures for Social Research
Rosenthal, R. (1991) · doi:10.4135/9781412984997 · Cited by 4,635
Meta-Analytic Procedures for Social Research.
Metcalfe, A., & Rosenthal, R. (1994) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348600 · Cited by 4,249
Answering the Call for a Standard Reliability Measure for Coding Data
Hayes, A. F., & Krippendorff, K. (2007) · Communication Methods and Measures · doi:10.1080/19312450709336664 · Cited by 4,225
Health promotion from the perspective of Social Cognitive Theory
Bandura, A. (1998) · Psychology & Health · doi:10.1080/08870449808407422 · Cited by 3,087
Webb, T. L., Joseph, J., Yardley, L., & Michie, S. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1376 · Cited by 2,517
Research works printed but not linked: 14
- Davis S., 2008, Interface on the Internet
- 10.1111/j.1460–2466.2006. 00280.x · DOI
- Lipsey M. W., 2001, Practical meta-analysis: Applied social research methods
- 10.1001/archinte. 167.9.944 · DOI
- Noar S. M., 2009, Communication Yearbook 33, 73
- 10.3102/10769986008002157 · DOI · Paper page
- Shire N., 2002, Journal of Gender-Specific Medicine, 5, 48
- 10.2196/jmir.113 · DOI
- 10.1016/j.ypmed.2007. 06.009 · DOI
- 10.1093/her/cy1096 · DOI
- 10.1016/S0778–3991(98)00128–1 · DOI
- 10.1016/j. amepre.2007.12.024 · DOI
- 10.2307/4597943 · DOI
- 10.2307/20747900 · DOI
Cited by
Sorted by citations
Items 101–200 of 689
Wulfovich, S., Fiordelli, M., Rivas, H., Concepcion, W., & Wac, K. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02388 · Cited by 58
Nahm, E., Zhu, S., Bellantoni, M. F., Keldsen, L., Russomanno, V., Rietschel, M., Majid, T., Son, H., & Smith, L. (2018) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2018.0184 · Cited by 50
“61 Based on meta-analysis reports, 59,60 online interventions were efficacious in changing health behaviors; however, their ESs were often small ( < 0.2).”
InfluentialYoung, I., Waddell, L. A., Wilhelm, B. J., & Greig, J. D. (2019) · Food Research International · doi:10.1016/j.foodres.2019.108711 · Cited by 51
He, Z., Dieciuc, M., Carr, D. C., Chakraborty, S., Singh, A., Fowe, I. E., Zhang, S., Lustria, M. L. A., Terracciano, A., Charness, N. H., et al. (2023) · BMC Digital Health · doi:10.1186/s44247-023-00008-1 · Cited by 55
Self-citationRiiser, K., Løndal, K., Ommundsen, Y., Småstuen, M. C., Misvær, N., & Helseth, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0114732 · Cited by 54
Sax, M., Helberger, N., & Bol, N. (2018) · Journal of Consumer Policy · doi:10.1007/s10603-018-9374-3 · Cited by 51
Mendoza-Jiménez, M.-J., Hannemann, T., & Atzendorf, J. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.674597 · Cited by 49
“In addition, the effectiveness of such risk communication is improved when the messages are tailored to target audiences (50, 51).”
BackgroundAnticipatory mobile computing for behaviour change interventions
Pejović, V., & Musolesi, M. (2014) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2638728.2641284 · Cited by 49
“Both of these aspects are shown to add value to the intervention [13, 3].”
BackgroundeHealth Interventions for Fruit and Vegetable Intake: A Meta-Analysis of Effectiveness
Rodríguez-Rocha, N. P., & Kim, H. (2019) · Health Education & Behavior · doi:10.1177/1090198119859396 · Cited by 49
“Hence, in recent decades, the use of technology to implement health behavior modification interventions has been studied (Lustria et al., 2013).”
BackgroundAlonzo, D. M., & Popescu, M. L. (2021) · Journal of Education and Health Promotion · doi:10.4103/jehp.jehp_21_21 · Cited by 52
Batterham, 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
“However, there is a pressing need to develop greater understanding of the factors that lead to positive outcomes in internet therapy across a range of mental health problems, to enable the development of empirical guidelines for tailoring (Lustria et al., 2013).”
BackgroundPairing facts with imagined consequences improves pandemic-related risk perception
Sinclair, A., Hakimi, S., Stanley, M. L., Adcock, R. A., & Samanez-Larkin, G. (2021) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.2100970118 · Cited by 46
“Prior interventions on risk estimation have shown some success, although effect sizes are typically small and weaken over time (38, 39).”
Mental Health Referral for Student-Athletes: Web-Based Education and Training
Van Raalte, J. L., Cornelius, A. E., Andrews, S., Diehl, N. S., & Brewer, B. W. (2015) · Journal of Clinical Sport Psychology · doi:10.1123/jcsp.2015-0011 · Cited by 47
“Lustria et al. (2013) conducted a meta-analysis of web-based interventions (with over 20,000 participants) and found that those tailored for particular populations led to significantly greater improvements in health outcomes than did control conditions.”
BackgroundInfluentialBalci, S., Spanhel, K., Sander, L., & Baumeister, H. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00569-x · Cited by 52
Nguyen, M. H., Smets, E. M. A., Bol, N., Loos, E. F., & van Weert, J. C. M. (2018) · Journal of Health Communication · doi:10.1080/10810730.2017.1421729 · Cited by 46
“, modes), such as textual, visual, and/or audiovisual information, to suit individual preferences and abilities (Lustria et al., 2013; Ritterband, Thorndike, Cox, Kovatchev, & Gonder-Frederick, 2009; Smit, Linn, & VanWeert, 2015).”
BackgroundYang, X., Yu, H.-J., Liu, M., Zhang, J., Tang, B.-W., Yuan, S., Gašević, D., Paul, K., Wang, P., & He, Q.-Q. (2019) · Journal of American College Health · doi:10.1080/07448481.2019.1583659 · Cited by 47
Problematic Attachment to Social Media: Five Behavioural Archetypes
Altuwairiqi, M., Jiang, N., & Ali, R. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16122136 · Cited by 69
The Feasibility and Effectiveness of Web-Based Advance Care Planning Programs: Scoping Review
van der Smissen, D., Overbeek, A., van Dulmen, S., van Gemert‐Pijnen, J. E. W. C., van der Heide, A., Rietjens, J. A. C., & Korfage, I. J. (2020) · Journal of Medical Internet Research · doi:10.2196/15578 · Cited by 45
“Ample research in other domains has shown that Web-based health programs can be effective in improving health outcomes such as physical activity [15], patient empowerment [15,16], and depression [17].”
BackgroundKollamparambil, U., Oyenubi, A., & Nwosu, C. O. (2021) · BMC Public Health · doi:10.1186/s12889-021-12196-4 · Cited by 47
McRee, A., Shoben, A. B., Bauermeister, J. A., Katz, M. L., Paskett, E. D., & Reiter, P. L. (2018) · Vaccine · doi:10.1016/j.vaccine.2018.01.009 · Cited by 46
Black, N., Eisma, M. C., Viechtbauer, W., Johnston, M., West, R., Hartmann‐Boyce, J., Michie, S., & de Bruin, M. (2020) · Addiction · doi:10.1111/add.14969 · Cited by 47
Rimmer, B., Brown, M. C., Sotire, T., Beyer, F. R., Bolnykh, I., Balla, M., Richmond, C., Dutton, L., Williams, S., Araújo‐Soares, V., et al. (2023) · Cancers · doi:10.3390/cancers16010014 · Cited by 51
“These findings provide the foundations to inform further development and facilitate steps towards the implementation of self-management interventions for cancer survivors.”
BackgroundBelmon, L. S., Middelweerd, A., Velde, S. J. T., & Brug, J. (2015) · JMIR mhealth and uhealth · doi:10.2196/mhealth.4383 · Cited by 48
“Furthermore, previous research suggests that individually tailored health messages may be more effective than nontailored generic messages [16-19].”
Sucala, M. L., Ezeanochie, N., Cole-Lewis, H. J., & Turgiss, J. L. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz109 · Cited by 49
“Evidence has shown that tailored and individualized interventions are successful for improving health behavior and health outcome [42].”
BackgroundTo What Extent is Internet Activity Predictive of Psychological Well-Being?
Lippke, S., Dahmen, A., Gao, L., Guza, E., & Nigg, C. R. (2021) · Psychology Research and Behavior Management · doi:10.2147/prbm.s274502 · Cited by 48
Louwagie, G., Kanaan, M., Morojele, N. K., Van Zyl, A., Moriarty, A. S., Li, J., Siddiqi, K., Turner, A., Mdege, N. D., Omole, O. B., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-056496 · Cited by 44
Yeo, T. E. D., Chu, T. H., & Li, Q. (2025) · Journal of Advertising Research · doi:10.1080/00218499.2025.2467763 · Cited by 44
Choi, H. J., Miller-Day, M. A., Shin, Y., Hecht, M. L., Pettigrew, J., Krieger, J. L. R., Lee, J., & Graham, J. A. (2017) · Journal of Family Communication · doi:10.1080/15267431.2016.1251920 · Cited by 43
“One promising intervention strategy that could be developed and adapted to different profiles are e-learning or web-based brief interventions (Lustria et al., 2013).”
Self-citationUsing Community Engagement to Develop a Web-Based Intervention for Latinos about the HPV Vaccine
Maertens, J., Jimenez-Zambrano, A. M., ALBRIGHT, K. J., & Dempsey, A. F. (2017) · Journal of Health Communication · doi:10.1080/10810730.2016.1275890 · Cited by 43
Online information and support needs of women with advanced breast cancer: a qualitative analysis
Kemp, E., Koczwara, B., Butow, P. N., Turner, J., Girgis, A., Schofield, P. E., Hulbert-Williams, N., Levesque, J. V., Spence, D., Vatandoust, S., et al. (2018) · Supportive Care in Cancer · doi:10.1007/s00520-018-4206-1 · Cited by 43
An Examination of Health Inequities among College Students by Sexual Orientation Identity and Sex
Brittain, D. R., & Dinger, M. K. (2015) · Journal of Public Health Research · doi:10.4081/jphr.2015.414 · Cited by 42
Grant, S., & Preston, T. A. (2018) · Information & Management · doi:10.1016/j.im.2018.10.004 · Cited by 46
Moreau, M., Gagnon, M.-P., & Boudreau, F. (2015) · JMIR Research Protocols · doi:10.2196/resprot.4099 · Cited by 41
“It has also been demonstrated that tailoring can be effective on various communication channels including print-based [20,21], automated phone [22], and Internet, mobile, or offline computer [12,19,22-24].”
Kankanhalli, A., Xia, Q., & Zhao, X. (2021) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00152 · Cited by 45
Muessig, K. E., Baltierra, N., Pike, E. C., LeGrand, S., & Hightow‐Weidman, L. (2014) · PubMed · Cited by 41
Effects of a Guided Internet-Delivered Self-Help Intervention for Adolescents With Chronic Pain
Voerman, J. S., Remerie, S. C., Westendorp, T., Timman, R., Busschbach, J. J. V., Passchier, J., & de Klerk, C. (2015) · Journal of Pain · doi:10.1016/j.jpain.2015.07.011 · Cited by 40
Grosjean, S., Ciocca, J.-L., Gauthier-Beaupré, A., Poitras, E., Grimes, D., & Mestre, T. (2022) · Digital Health · doi:10.1177/20552076221081695 · Cited by 40
“55,56 Few studies, however, suggest developing personalized systems to encourage and support health self-management which are not limited to simple behavioral changes.”
BackgroundKim, M. T., Heitkemper, E., Hébert, E. T., Hecht, J. P., Crawford, A. D., Nnaka, T., Hutson, T. S., Rhee, H., & Radhakrishnan, K. (2022) · Nursing Outlook · doi:10.1016/j.outlook.2022.05.015 · Cited by 47
Landis‐Lewis, Z., Brehaut, J., Hochheiser, H., Douglas, G. P., & Jacobson, R. S. (2015) · Implementation Science · doi:10.1186/s13012-014-0203-z · Cited by 41
“Meta-analyses show that CTHC interventions significantly improve health-related behaviors compared to no intervention or a generic message targeting physical exercise, nutritional intake, and chronic disease prevention-associated behaviors [14-16].”
BackgroundA meta-analytic review of health information credibility
Yang, Q., & Beatty, M. J. (2016) · Health Information Management Journal · doi:10.1177/1833358316639432 · Cited by 39
“Participant and methodological features are normally tested in meta-analytical reviews as potential moderators in health communication research (e.g. Lustria et al., 2013; Noar et al., 2007; Sohl and Moyer, 2007).”
Perceived stigma and adherence in epilepsy: Evidence for a link and mediating processes
Chesaniuk, M., Choi, H., Wicks, P. J., & Stadler, G. (2014) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2014.10.004 · Cited by 38
“For example, patient education, ideally tailored to each patient [43,44], could be a point of intervention for adherence information.”
Muellmann, S., Bragina, I., Voelcker‐Rehage, C., Rost, E., Lippke, S., Meyer, J., Schnauber, J., Wasmann, M., Toborg, M., Koppelin, F., et al. (2017) · BMC Public Health · doi:10.1186/s12889-017-4446-x · Cited by 38
Martínez-Montilla, J. M., Mercken, L. A. G., de Vries, H., Candel, M. J. J. M., Lima‐Rodríguez, J. S., & Lima‐Serrano, M. (2019) · Journal of Medical Internet Research · doi:10.2196/15438 · Cited by 39
“Some studies have shown that tailored advice helps to effectively change health behaviors and their determinants [16,23,24,27,29-31], even showing it to be cost-effective [32], although their effect sizes were generally small to medium [16,33].”
Halford, W. K., Rahimullah, R. H., Wilson, K. L., Occhipinti, S., Busby, D. M., & Larson, J. H. (2017) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000181 · Cited by 37
Hayman, M., Reaburn, P. R. J., Browne, M., Vandelanotte, C., Alley, S., & Short, C. E. (2017) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-017-1277-9 · Cited by 43
“Online interventions, especially those that employ computer-tailoring, present as an alternative intervention delivery mode to traditional face-to-face interventions; especially given that online interventions have been found to be cost effective, sustainable and wide reaching [10, 11].”
BackgroundNikoloudakis, I., Crutzen, R., Rebar, A. L., Vandelanotte, C., Quester, P. G., Dry, M. J., Skuse, A., Duncan, M. J., & Short, C. E. (2018) · Health Psychology Review · doi:10.1080/17437199.2018.1525571 · Cited by 37
“…using computer-tailoring to present individuals with personalised health information are signi fi cantly more likely to improve health-related behaviours than those delivering generic information (Lustria et al., 2013; Short, James, Plotniko ff , & Girgis, 2011; Wolfenden, Nathan, & Williams, 2015).”
BackgroundInfluentialThe development and characteristics of Employee Assistance Programs around the globe
ROCHE, A. M., Kostadinov, V., Cameron, J., Pidd, K., McEntee, A., & Duraisingam, V. (2018) · Journal of Workplace Behavioral Health · doi:10.1080/15555240.2018.1539642 · Cited by 39
“E-service provision is increasingly common in the EAP field (Taranowski & Mahieu, 2012) and reflects the array of online services now available (Ekeland, Bowes, & Flottorp, 2010) for mental health (Lal & Adair, 2014) and other issues (Lustria et al., 2013).”
BackgroundThe Effectiveness of an Internet Intervention Aimed at Reducing Alcohol Consumption in Adults
Zill, J. M., Christalle, E., Meyer, B., Härter, M. C., & Dirmaier, J. (2019) · Deutsches Ärzteblatt international · doi:10.3238/arztebl.2019.0127 · Cited by 40
A systematic review of tailored mHealth interventions for physical activity promotion among adults
Davis, A., Sweigart, R., & Ellis, R. (2020) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz190 · Cited by 40
Cortese, J., & Lustria, M. L. A. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22700 · Cited by 36
Self-citationHull, P. C., Emerson, J. S., Quirk, M. E., Canedo, J., Jones, J. L., Vylegzhanina, V., Schmidt, D. C., Mulvaney, S. A., Beech, B. M., Briley, C. A., et al. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7477 · Cited by 35
“In addition to expanding the quantity and frequency of nutrition content, users may benefit from individual tailoring of content to enhance perceived benefits [36,37].”
BackgroundKnight, R., Karamouzian, M., Salway, T. J., Gilbert, M., & Shoveller, J. (2017) · Journal of the International AIDS Society · doi:10.1002/jia2.25017 · Cited by 37
“at an individual’s characteristics) web-delivered behaviour change intervention are significantly more effective than non-tailored websites in achieving behavioural outcomes [77].”
BackgroundFélix, I. B., Guerreiro, M. P., Cavaco, A. M. D. N., Cláudio, A. P., Mendes, A., Balsa, J., Carmo, M. B., Pimenta, N. M., & Henriques, M. A. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.00680 · Cited by 38
Jonathan, G., Dopke, C. A., Michaels, T., Bank, A., Martin, C. R., Adhikari, K., Krakauer, R. L., Ryan, C., McBride, A., Babington, P., et al. (2021) · JMIR Mental Health · doi:10.2196/20424 · Cited by 39
“This feedback is consistent with prior studies indicating that personalizing application components to address user needs can increase user engagement and positively impact intervention outcomes [43,98,99].”
ResultStrategies for Effective Public Health Communication in a Complex Information Environment
Niederdeppe, J., Boyd, A. D., King, A. J., & Rimal, R. N. (2024) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-071723-120721 · Cited by 43
“Behavior change has been the most sought-after individual-level outcome, whether reducing or eliminating harmful activities (e.g., smoking) or initiating healthy activities or increasing their frequency (e.g., physical activity) (2, 64, 70, 120).”
Srivastava, J., Saks, J., Weed, A. J., & Atkins, A. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.05.011 · Cited by 40
Nguyen, M. H., Smets, E. M. A., Bol, N., Loos, E. F., van Laarhoven, H. W. M., Geijsen, D. E., Henegouwen, M. I. V. B., Tytgat, K. M. A. J., & van Weert, J. C. M. (2019) · Journal of Medical Internet Research · doi:10.2196/14407 · Cited by 35
“Tailored online health information tools, typically providing recipients with content adapted to their individual characteristics, needs, and/or preferences have shown to be more effective than nontailored information on a wide range of patient outcomes, however typically with small effects [67-71].”
BackgroundRole of Digital Engagement in Diabetes Care Beyond Measurement: Retrospective Cohort Study
Fundoiano-Hershcovitz, ., Hirsch, A., Dar, S., Feniger, E., & Goldstein, P. (2021) · JMIR Diabetes · doi:10.2196/24030 · Cited by 35
“Health behavior change theory posits that new health behaviors emerge when people gain both knowledge and self-efficacy to implement the said knowledge [21-23].”
BackgroundDigital Health Solutions for Weight Loss and Obesity: A Narrative Review
Irvin, L., Madden, L. A., Marshall, P., & Vince, R. V. (2023) · Nutrients · doi:10.3390/nu15081858 · Cited by 34
Champion, V. L., Christy, S. M., Rakowski, W., Gathirua‐Mwangi, W. G., Tarver, W. L., Carter‐Harris, L., Cohee, A. A., Marley, A. R., Jessup, N. M., Biederman, E. B., et al. (2018) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-18-0180 · Cited by 34
Grounding the neuroscience of behavior change in the sociocultural context
Tompson, S., Lieberman, M. D., & Falk, E. B. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.07.004 · Cited by 34
Liang, W., Duan, Y. P., Shang, B., Wang, Y., Hu, C., & Lippke, S. (2019) · BMC Public Health · doi:10.1186/s12889-019-7438-1 · Cited by 33
Materia, F. T., & Smyth, J. M. (2021) · JMIR mhealth and uhealth · doi:10.2196/23303 · Cited by 32
“In addition, previous work measuring posteriori acceptability has demonstrated that participants positively perceive tailored content as enhancing their satisfaction with behavioral interventions; however, little empirical work has focused on investigating how this provision may influence a priori acceptability [33,35…”
BackgroundBucher, A., Blazek, E. S., & Symons, C. T. (2024) · Mayo Clinic Proceedings Digital Health · doi:10.1016/j.mcpdig.2024.05.007 · Cited by 41
“39 This is likely because people perceive personalized interventions as more relevant 40 ; functional magnetic resonance imaging scans show that exposure to personalized content activates regions of the brain associated with self-relevance.”
Larsen, J. K., Hermans, R. C. J., Sleddens, E. F. C., Vink, J. M., Kremers, S., Ruiter, E. L. M., & Fisher, J. O. (2017) · Appetite · doi:10.1016/j.appet.2017.12.016 · Cited by 35
“Finally, future research should systematically examine whether different impulse-focused and reflective techniques including personalized cues and tailoring are more effective, considering the success of tailored health interventions (Lustria et al., 2013).”
BackgroundLinn, A. J., van Dijk, L., van Weert, J. C. M., Gebeyehu, B. G., van Bodegraven, A. A., & Smit, E. G. (2018) · Patient Education and Counseling · doi:10.1016/j.pec.2018.03.017 · Cited by 31
Uddin, J., Feng, C., & Xu, J. (2025) · Journal of Medical Internet Research · doi:10.2196/66032 · Cited by 31
The Effects of an Online Theory-Based Bone Health Program for Older Adults
Nahm, E., Resnick, B. M., Brown, C. H., Zhu, S., Magaziner, J., Bellantoni, M. F., Brennan, P. F., Charters, K. G., Brown, J., Rietschel, M., et al. (2015) · Journal of Applied Gerontology · doi:10.1177/0733464815617284 · Cited by 29
“Several prior studies also reported similar findings (Lustria et al., 2013; van den Berg et al., 2007; Webb et al., 2010).”
ResultKim, M. (2018) · Human Communication Research · doi:10.1093/hcr/hqy013 · Cited by 40
“Tailored communication (Kreuter & Wray, 2003) is an effective strategy in enhancing persuasion (Lustria et al., 2013; Noar, Benac, & Harris, 2007).”
BackgroundFriederichs, S. A. H., Oenema, A., Bolman, C. A. W., & Lechner, L. (2016) · Psychology and Health · doi:10.1080/08870446.2016.1151018 · Cited by 36
“This approach increases the likelihood of positive PA outcomes compared to a non-tailored, generic approach (Broekhuizen, Kroeze, van Poppel, Oenema, & Brug, 2012; Enwald & Huotari, 2010; Lustria et al., 2013).”
Backgroundde Ruijter, D., Smit, E. S., de Vries, H., Goossens, L., & Hoving, C. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-014154 · Cited by 31
Golsteijn, R. H. J., Bolman, C. A. W., Peels, D. A., Volders, E., de Vries, H., & Lechner, L. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7838 · Cited by 31
“A frequently used and proven effective method for Web-based interventions is computer-tailoring [23-26] where participants receive personalized feedback generated automatically using computer-based data-driven decision rules and data collected from questionnaires (eg, individual characteristics, beliefs, and behavior)…”
MethodCappella, J. N., Yang, S., & Lee, S. (2015) · The Annals of the American Academy of Political and Social Science · doi:10.1177/0002716215570573 · Cited by 30
“…interventions are more effective in stimulating and sustaining desirable behavioral changes in domains of smoking cessation, healthy diet main tenance, physical activity, and regular mammography screening (Noar, Benac, and Harris 2007; krebs, prochaska, and Rossi 2010; Lustria et al. 2013).”
BackgroundPetzel, S. V., Vogel, R. I., Cragg, J., McClellan, M. A., Chan, D., Jacko, J. A., Sainfort, F., & Geller, M. A. (2018) · Journal of Psychosocial Oncology · doi:10.1080/07347332.2018.1457125 · Cited by 29
“CBT aims at modifying negative attitudes and promoting realistic thoughts and effective coping (Butler, Chapman, Forman, & Beck, 2006) and demonstrates advantages over other therapies, particularly in treating depression and anxiety (Tolin, 2010).”
BackgroundInfluentialFord, K. L., West, A. B., Bucher, A., & Osborn, C. Y. (2022) · Frontiers in Digital Health · doi:10.3389/fdgth.2022.831093 · Cited by 30
Aalbers, T., Li, Q., Baars, M. A. E., de Lange, A. H., Kessels, R. P. C., & Rikkert, M. G. M. O. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5269 · Cited by 30
“For example, recent meta-analyses revealed that some form of tailoring is necessary for improving the personal relevance and extent of health behavior change programs [23] and for increasing the intervention’s effectiveness [24].”
InfluentialNapolitano, M. A., Whiteley, J. A., Mavredes, M. N., Tjaden, A. H., Simmens, S. J., Hayman, L. L., Faro, J. M., Winston, G. J., Malin, S. K., & DiPietro, L. (2021) · Translational Behavioral Medicine · doi:10.1093/tbm/ibab017 · Cited by 29
“Tailored interventions have been shown to outperform nontailored [19], potentially due to the salience of the message, greater perceived relevance, and enhanced motivation to process the message or behavior change [20].”
BackgroundInterventions to Improve Adolescent Vaccination
Dempsey, A. F., & Zimet, G. D. (2015) · Vaccine · doi:10.1016/j.vaccine.2015.09.032 · Cited by 29
Nguyen, M. H., Bol, N., & Lustria, M. L. A. (2020) · Journal of Health Communication · doi:10.1080/10810730.2020.1743797 · Cited by 29
“Tailoring the content of health messages has shown to be more effective in influencing attitudes and behavior change compared to providing non-tailored information although effect sizes often remain small (Lustria et al., 2013; Noar, Benac, & Harris, 2007).”
BackgroundSelf-citationPeacock, O. J., Western, M. J., Batterham, A. M., Stathi, A., Standage, M., Tapp, A., Bennett, P., & Thompson, D. (2015) · Trials · doi:10.1186/s13063-015-0892-x · Cited by 30
Smit, E. S., Zeidler, C., Resnicow, K., & de Vries, H. (2019) · Journal of Medical Internet Research · doi:10.2196/14074 · Cited by 28
“Digital forms of health communication, for example, Web-based computer-tailored interventions, can be a cost-effective strategy for health promotion [1-3].”
Elison, S., Ward, J., Williams, C., Espie, C., Davies, G., Dugdale, S., Ragan, K., Chisnall, L., Lidbetter, N., & Smith, K. (2017) · BMJ Open · doi:10.1136/bmjopen-2017-016392 · Cited by 33
Martinello, N., Saunders, S., & Reid, R. D. (2019) · Journal of Cardiopulmonary Rehabilitation and Prevention · doi:10.1097/hcr.0000000000000404 · Cited by 27
Seixas, A. A., Connors, C., Chung, A., Donley, T., & Jean‐Louis, G. (2020) · JMIR mhealth and uhealth · doi:10.2196/16429 · Cited by 27
“Tailored approaches have proved effective in obtaining adherence across a wide variety of health outcomes [78,79].”
BackgroundRodrigues, T. C., de Buisonjé, D. R., Keesman, M., Reijnders, T., van der Geer, J. E., Janssen, V. R., Kraaijenhagen, R. A., Atsma, D. E., & Evers, A. W. M. (2021) · Journal of Medical Internet Research · doi:10.2196/25646 · Cited by 27
“Furthermore, meta-analyses have demonstrated a positive relationship between both an autonomy-supportive health care climate and personalization of digital intervention content and successful behavior change [41,42].”
Web-Based Interventions to Promote Healthy Lifestyles for Older Adults: Scoping Review
Lavoie, A., & Dubé, V. (2022) · Interactive Journal of Medical Research · doi:10.2196/37315 · Cited by 25
“Although some authors have published syntheses of the literature focused on web-based interventions designed to promote lifestyle changes in adults [11,23], to our knowledge, no synthesis of knowledge has focused on people aged ≥65 years.”
BackgroundAlbada, A., van Dulmen, S., Spreeuwenberg, P. M. M., & Ausems, M. G. E. M. (2014) · Patient Education and Counseling · doi:10.1016/j.pec.2014.10.005 · Cited by 27
“Pre-counseling information might become even more effective by tailoring such information to the individual, since tailored information is better recalled than generic information [20,21].”
Impact of a Parent Text Messaging Program on Pre-Kindergarteners’ Literacy Development
Cabell, S. Q., Zucker, T. A., DeCoster, J., Copp, S. B., & Landry, S. H. (2019) · AERA Open · doi:10.1177/2332858419833339 · Cited by 28
“Future programs may also be tailored to suit parents’ expressed needs as text messaging programs in the health field report positive effects of tailoring based on participant characteristics and situational factors (e.g., readiness for change, capacity; Lustria et al., 2013; Mistry, Sweet, Rhodes, & Latimer-Cheung, 20…”
Background“Just-in-time” but a bit delayed: Personalizing digital nudges for healthier online food choices
de Vries, R., Bol, N., & van der Laan, L. N. (2025) · Appetite · doi:10.1016/j.appet.2025.107852 · Cited by 28
“One approach is to incorporate a (brief) self-report baseline inventory into the retail app during the onboarding process; an approach common in the tailoring literature for health behavior change (e.g., Lustria et al., 2013).”
Advancing adolescent health promotion in the digital era
Raeside, R. (2024) · Health Promotion International · doi:10.1093/heapro/daae172 · Cited by 26
“Digital health promotion interventions typically support individuals to improve health outcomes through behaviour change (Webb et al ., 2010; Lustria et al ., 2013).”
Kok, D. J. (2015) · Urolithiasis · doi:10.1007/s00240-015-0842-9 · Cited by 26
“It, however, became clear that the induced behavior varies with the individual’s attitudes towards behavior, subjective norms and perceived behavioral control [48].”
BackgroundXie, B., Champion, J. D., Kwak, J., & Fleischmann, K. R. (2018) · Journal of Medical Internet Research · doi:10.2196/11682 · Cited by 26
“Such a trend is unfortunate because meta-analyses provide strong evidence that tailored health behavioral interventions outperform nontailored ones [59-61]; recent developments in mHealth offer unprecedented opportunities for providing tailored health behavioral interventions to hard-to-reach…”
Altendorf, M. B., van Weert, J. C. M., Hoving, C., & Smit, E. S. (2019) · Digital Health · doi:10.1177/2055207619832767 · Cited by 31
“Many online computer-tailored alcohol reduction interventions, such as the intervention that provides the context for the current study, already satisfy the need for competence by providing suggestions for action and coping plans to manage (sustained) behaviour change, also in situations when it is difficult to refrai…”
InfluentialCustomization versus Personalisation of Digital Health Information
Nguyen, M. H., Bol, N., & King, A. J. (2020) · European Journal of Health Communication · doi:10.47368/ejhc.2020.003 · Cited by 26
“…reviews have shown that tailored online health information tools, typically providing people with content adapted to their unique characteristics, needs and/or preferences, are more effective than non-tailored tools (Krebs et al., 2010; Lustria et al., 2013; Noar et al., 2007; Sohl & Moyer, 2007).”
BackgroundNetemeyer, R. G., Lynch, J. G., Lichtenstein, D. R., & Dobolyi, D. G. (2024) · Journal of Public Policy & Marketing · doi:10.1177/07439156241228197 · Cited by 30
Vromans, R., Pauws, S. C., Bol, N., van de Poll-Franse, L. V., & Krahmer, E. (2020) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-020-01296-7 · Cited by 25
Harnessing Machine Learning to Personalize Web-Based Health Care Content
Guni, A., Normahani, P., Davies, A. H., & Jaffer, U. (2021) · Journal of Medical Internet Research · doi:10.2196/25497 · Cited by 28
“…which used personalized strategies including interactive multimedia content, tailored feedback, discussion groups, and personalized management plans, showed a positive impact on behavior outcomes related to smoking cessation, alcoholism, physical activity, diet, and chronic disease management [34].”
Tzelepis, F., Mitchell, A., Wilson, L., Byrnes, E., Haschek, A., Leigh, L., & Oldmeadow, C. J. (2021) · Journal of Medical Internet Research · doi:10.2196/23513 · Cited by 25
Ryan, K. D., Dockray, S., & Linehan, C. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3501864 · Cited by 27
“Tailoring is one strategy to deliver content in a personalized manner that has been identified as being effective in behavior change interventions [29, 30] and specifically within weight loss interventions [31-34].”
BackgroundWozney, L., McGrath, P. J., Newton, A. S., Huguet, A., Franklin, M., Perri, K., Leuschen, K., Toombs, E., & Lingley‐Pottie, P. (2015) · Health Informatics Journal · doi:10.1177/1460458215586803 · Cited by 26
Metadata
- Authors
- Lustria, M. L. A., Noar, S. M., Cortese, J., Van Stee, S. K., Glueckauf, R. L., & Lee, J.
- Affiliations
- Florida State University (US)
- University of North Carolina at Chapel Hill (US)
- Yonsei University (KR)
- Corresponding author
- Lustria, Mia Liza A.
- Venue
- Journal of Health Communication
- Publisher
- Informa UK Limited
- Published
- 2013-09
- Volume
- 18
- Issue
- 9
- Pages
- 1039-1069
- ISSN
- 1081-0730 (ISSN-L)
- 1087-0415
- OpenAlex
- W2057902960
- Cited by
- 689
- References
- 102
- Citations by year
- 2026: 25 · 2025: 63 · 2024: 45 · 2023: 62 · 2022: 68 · 2021: 69 · 2020: 61 · 2019: 68 · 2018: 52 · 2017: 57 · 2016: 41 · 2015: 49 · 2014: 25 · 2013: 3
- FWCI
- 4.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Health Communication (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- personalized interventions, online intervention, health behavior change, health-promoting behaviors, health outcomes, treatment moderators, online health interventions
- MeSH terms
- Adolescent, Adult, Behavior Therapy, Child, Female, Follow-Up Studies, Health Promotion, Humans, Male, Middle Aged, Program Evaluation, Health Behavior, Randomized Controlled Trials as Topic, Treatment Outcome, Internet, 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.
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
