Cited by 661Social Media in Health EducationMobile Health and mHealth ApplicationsBehavioral Health and Interventions

The DOI matches its Crossref record; 72 of the 74 references it cites were found in a registry or an index.

The influence of social networking sites on health behavior change: a systematic review and meta-analysis

Open access

Laranjo, Liliana, Arguel, Amaël, Neves, Ana L, Gallagher, Aideen M, Kaplan, Ruth, Mortimer, Nathan, Mendes, Guilherme A, Lau, Annie Y S·2015·Journal of the American Medical Informatics Association

DOI 10.1136/amiajnl-2014-002841PMC PMC4433372

Open this paper in CoChat — free account Open PDF

Abstract

Objective Our aim was to evaluate the use and effectiveness of interventions using social networking sites (SNSs) to change health behaviors. Materials and methods Five databases were scanned using a predefined search strategy. Studies were included if they focused on patients/consumers, involved an SNS intervention, had an outcome related to health behavior change, and were prospective. Studies were screened by independent investigators, and assessed using Cochrane's ‘risk of bias’ tool. Randomized controlled trials were pooled in a meta-analysis. Results The database search retrieved 4656 citations; 12 studies (7411 participants) met the inclusion criteria. Facebook was the most utilized SNS, followed by health-specific SNSs, and Twitter. Eight randomized controlled trials were combined in a meta-analysis. A positive effect of SNS interventions on health behavior outcomes was found (Hedges’ g 0.24; 95% CI 0.04 to 0.43). There was considerable heterogeneity (I2 = 84.0%; T2 = 0.058) and no evidence of publication bias. Discussion To the best of our knowledge, this is the first meta-analysis evaluating the effectiveness of SNS interventions in changing health-related behaviors. Most studies evaluated multi-component interventions, posing problems in isolating the specific effect of the SNS. Health behavior change theories were seldom mentioned in the included articles, but two particularly innovative studies used ‘network alteration’, showing a positive effect. Overall, SNS interventions appeared to be effective in promoting changes in health-related behaviors, and further research regarding the application of these promising tools is warranted. Conclusions Our study showed a positive effect of SNS interventions on health behavior-related outcomes, but there was considerable heterogeneity. Protocol registration The protocol for this systematic review is registered at http://www.crd.york.ac.uk/PROSPERO with the number CRD42013004140.

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

Crossref · 10.1136/amiajnl-2014-002841

Cites

72 of 72 references verified0 citation errors · 0 not checkable

Statistics

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048
Birds of a Feather: Homophily in Social Networks
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001) · Annual Review of Sociology · doi:10.1146/annurev.soc.27.1.415 · Cited by 18,567
Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251
Introduction to Meta‐Analysis
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386 · Cited by 14,225
Introduction to Meta‐Analysis
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799
The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007
Health behavior and health education
(1990) · Choice Reviews Online · doi:10.5860/choice.28-2173 · Cited by 2,919
Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: The TREND statement
Des Jarlais, D. C., Lyles, C., Crepaz, N., & the TREND Group (2004) · American Journal of Public Health · doi:10.2105/ajph.94.3.361 · Cited by 2,817
The spread of behavior in an online social network experiment
Centola, D. (2010) · Science · doi:10.1126/science.1185231 · Cited by 2,692

Show all 74 references

Sorted by citations

Items 201–300 of 660

Preferences and interests of diabetes social media users regarding a health-promotion intervention
Gabarrón, E., Dorronzoro, E., Bradway, M., Rivera-Romero, O., Wynn, R., & Årsand, E. (2018) · Patient Preference and Adherence · doi:10.2147/ppa.s184369 · Cited by 21
Facebook-Based Social Marketing to Reduce Smoking in Australia’s First Nations Communities: An Analysis of Reach, Shares, and Likes
Hefler, M., Kerrigan, V., Grunseit, A. C., Freeman, B., Kite, J., & Thomas, D. (2020) · Journal of Medical Internet Research · doi:10.2196/16927 · Cited by 21
Perceived Health Misinformation on Social Media and Public Trust in Health Care
Stimpson, J. P., Park, S., Adhikari, E. H., Nelson, D. B., & Ortega, A. N. (2025) · Medical Care · doi:10.1097/mlr.0000000000002180 · Cited by 20
The Potential Role of Social Media and Interactive Technologies in Diabetes Education
da Silva, E. (2016) · Journal of Diabetes Research and Therapy · doi:10.16966/2380-5544.e103 · Cited by 20
Using Momentary Assessment and Machine Learning to Identify Barriers to Self-management in Type 1 Diabetes: Observational Study
Zhang, P., Fonnesbeck, C., Schmidt, D. C., White, J., Kleinberg, S., & Mulvaney, S. A. (2021) · JMIR mhealth and uhealth · doi:10.2196/21959 · Cited by 20
User-centred development of an mHealth app for youth with type 1 diabetes: the challenge of operationalizing desired features and feasibility of offering financial incentives
Krmpotic, K. R., Gallant, J., Zufelt, K., & Zuijdwijk, C. (2022) · Health and Technology · doi:10.1007/s12553-022-00656-9 · Cited by 19
Digital preconception interventions targeting weight, diet and physical activity: A systematic review
O'CONNOR, H. M., Willcox, J. C., de Jersey, S., Wright, C. M., & Wilkinson, S. A. (2023) · Nutrition & Dietetics · doi:10.1111/1747-0080.12842 · Cited by 26
Information management in social media to promote engagement and physical activity behavior
González‐Serrano, M. H., Santos, M. A. D., Hervás, J. C., & Moreno, F. C. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102803 · Cited by 31
Sitting ducks face chronic disease: an analysis of newspaper coverage of sedentary behaviour as a health issue in Australia 2000–2012
Chau, J. Y., Bonfiglioli, C. M. F., Zhong, A., Pedišić, Ž., Daley, M., McGill, B., & Bauman, A. E. (2017) · Health Promotion Journal of Australia · doi:10.1071/he16054 · Cited by 22
Facilitator and Participant Use of Facebook in a Community-Based Intervention for Parents: The InFANT Extend Program
Downing, K. L., Campbell, K. J., van der Pligt, P., & Hesketh, K. D. (2017) · Childhood Obesity · doi:10.1089/chi.2017.0078 · Cited by 20
Promoting physical activity in young adult cancer survivors using mHealth and adaptive tailored feedback strategies: Design of the Improving Physical Activity after Cancer Treatment (IMPACT) randomized controlled trial
Valle, C. G., Pinto, B. M., LaRose, J. G., Diamond, M. A., Horrell, L. N., Nezami, B. T., Hatley, K. E., Coffman, E. M., Polzien, K. M., Hales, D. P., et al. (2021) · Contemporary Clinical Trials · doi:10.1016/j.cct.2021.106293 · Cited by 21
Electronic Cigarettes on Twitter – Spreading the Appeal of Flavors
Chu, K., Unger, J. B., Cruz, T. B., & Soto, D. W. (2015) · Tobacco Regulatory Science · doi:10.18001/trs.1.1.4 · Cited by 20
Technology Interventions to Manage Food Intake: Where Are We Now?
Allman-Farinelli, M. A., & Gemming, L. (2017) · Current Diabetes Reports · doi:10.1007/s11892-017-0937-5 · Cited by 21
The role of social media on COVID-19 preventive behaviors worldwide, systematic review
Fenta, E. T., Bogale, E. K., & Anagaw, T. F. (2024) · PLoS ONE · doi:10.1371/journal.pone.0306284 · Cited by 19
Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis
Tufts, C., Polsky, D. E., Volpp, K. G. M., Groeneveld, P. W., Ungar, L., Merchant, R. M., & Pelullo, A. (2018) · JMIR Public Health and Surveillance · doi:10.2196/10834 · Cited by 20
Social Media Research Strategy to Understand Clinician and Public Perception of Health Care Messages
Huber, J., Woods, T., Fushi, A., Duong, M. T., Eidelman, A., Zalal, A. R., Urquhart, O., Colangelo, E. A. M., Quinn, S., & Carrasco‐Labra, A. (2019) · JDR Clinical & Translational Research · doi:10.1177/2380084419849439 · Cited by 19
Patients' experiences of coping with multiple chronic conditions: A qualitative descriptive study
Cheng, C., Bai, J., Yang, C., Li, M., Inder, K., & Chan, S. W. (2019) · Journal of Clinical Nursing · doi:10.1111/jocn.15022 · Cited by 19
A Video-Based Behavioral Intervention Associated with Improved HPV Knowledge and Intention to Vaccinate
Marshall, S. M., Moore, A., Fleming, A., & Sahm, L. J. (2022) · Vaccines · doi:10.3390/vaccines10040562 · Cited by 20
Social Networks Across Common Cancer Types
Rice, L. J., & Halbert, C. H. (2016) · Advances in cancer research · doi:10.1016/bs.acr.2016.09.002 · Cited by 18
Human Behavior with Mobile Health: Smartphone/ Devices, Apps and Cognition
Hilty, D. M., & Chan, S. R. (2018) · Psychology and Cognitive Sciences - Open Journal · doi:10.17140/pcsoj-4-141 · Cited by 21
Effectiveness of Facebook Groups to Boost Participation in a Parenting Intervention
Epstein, M., Oesterle, S., & Haggerty, K. P. (2019) · Prevention Science · doi:10.1007/s11121-019-01018-0 · Cited by 19
Influence of a Smartphone Application on the Oral Health Practices and Behaviors of Parents of Preschool Children.
Lozoya, C. J. S., Giblin-Scanlon, L. J., Boyd, L. D., Nolen, S. L., & Vineyard, J. (2019) · PubMed · Cited by 19
Participant Perceptions on a Fitbit and Facebook Intervention for Young Adult Cancer Survivors: A Qualitative Study
Miropolsky, E. M., Baker, K. S., Abbey‐Lambertz, M., Syrjala, K. L., Chow, E. J., Ceballos, R. M., & Mendoza, J. A. (2020) · Journal of Adolescent and Young Adult Oncology · doi:10.1089/jayao.2019.0072 · Cited by 19
Successful promotion of physical activity among students of medicine through motivational interview and Web-based intervention
Mandic, D., Bjegovic-Mikanovic, V. M., Vuković, D., Djikanović, B., Stamenković, Ž., & Lalic, N. M. (2020) · PeerJ · doi:10.7717/peerj.9495 · Cited by 21
Coping with cultural differences in healthcare: Chinese immigrant mothers’ health information sharing via WeChat
Qian, Y., & Mao, Y. (2021) · International Journal of Intercultural Relations · doi:10.1016/j.ijintrel.2021.05.001 · Cited by 19
Social Support and Physical Activity in Older Adults: Identifying Predictors Using Data From the Canadian Longitudinal Study on Aging
Zimmer, C., & McDonough, M. H. (2021) · Journal of Aging and Physical Activity · doi:10.1123/japa.2020-0393 · Cited by 19
Artificial Intelligence in Gerontology: Data-Driven Health Management and Precision Medicine
Zhang, S., Wu, L., Zhao, Z., Fernández, J. R., & Chen, M. (2024) · Advances in Gerontology · doi:10.1134/s2079057024600691 · Cited by 20
A mixed studies systematic review on the health and wellbeing effects, and underlying mechanisms, of online support groups for chronic conditions
Mills, F., Drury, J., Hall, C. E., Weston, D., Symons, C., Amlôt, R., & Carter, H. (2025) · Communications Psychology · doi:10.1038/s44271-025-00217-6 · Cited by 22
‘Falsehood flies, and the truth comes limping after it’: social media and public health
Moore, J. B., Harris, J. K., & Hutti, E. T. (2021) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000730 · Cited by 18
Association between problematic social networking site use and social well-being among young adults: A systematic review
Hylkilä, K., Männikkö, N., Peltonen, A., Castrén, S., Mustonen, T., Konttila, J., Männistö, M., & Kääriäinen, M. (2024) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2024.100775 · Cited by 29
Tweeting back: predicting new cases of back pain with mass social media data
Lee, H., McAuley, J. H., Hübscher, M., Allen, H. G., Kamper, S. J., & Moseley, G. L. (2015) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv168 · Cited by 18
Posts, pics, or polls? Which post type generates the greatest engagement in a Facebook physical activity intervention?
Edney, S. M., Looyestyn, J., Ryan, J. C., Kernot, J., & Maher, C. A. (2018) · Translational Behavioral Medicine · doi:10.1093/tbm/iby006 · Cited by 18
Patient perception of gamma knife stereotactic radiosurgery through twitter and instagram
Jacobs, R. C., Prabhu, A. V., Monaco, E. A., Tonetti, D. A., & Agarwal, N. (2018) · Interdisciplinary Neurosurgery · doi:10.1016/j.inat.2018.05.005 · Cited by 18
Use of Social Media in the Assessment of Relative Effectiveness: Explorative Review With Examples From Oncology
Kalf, R. R. J., Makady, A., ten Ham, R. M. T., Meijboom, K., Goettsch, W., & 1, I.-G. W. (2018) · JMIR Cancer · doi:10.2196/cancer.7952 · Cited by 18
Facebook as a Novel Tool for Continuous Professional Education on Dementia: Pilot Randomized Controlled Trial
Chan, W. S., & Leung, A. (2019) · Journal of Medical Internet Research · doi:10.2196/16772 · Cited by 17
Implementing sustainable liver health in Europe: a second EASL–Lancet Commission
Karlsen, T. H., Hutchinson, S. J., Zelber‐Sagi, S., Carrieri, P., Negro, F., Lim, A. G., Cecchini, M., Dirac, M. A., Murray, F., Engebretsen, E., et al. (2026) · The Lancet · doi:10.1016/s0140-6736(26)00138-8 · Cited by 18
Social Media Potential and Impact on Changing Behaviors and Actions in Skin Health Promotion: Systematic Review
Brzozowska, J. M., & Gotlib, J. (2025) · Journal of Medical Internet Research · doi:10.2196/54241 · Cited by 17
Development of an Evidence-Informed Blog to Promote Healthy Eating Among Mothers: Use of the Intervention Mapping Protocol
Dumas, A., Lemieux, S., Lapointe, A., Provencher, V., Robitaille, J., & Desroches, S. (2017) · JMIR Research Protocols · doi:10.2196/resprot.7147 · Cited by 18
Continuing nursing education: use of observational pain assessment tool for diagnosis and management of pain in critically ill patients following training through a social networking app versus lectures
Deldar, K., Froutan, R., Sedaghat, A., & Mazloum, S. R. (2020) · BMC Medical Education · doi:10.1186/s12909-020-02159-5 · Cited by 17
Impacts of the National Your Brain Matters Dementia Risk Reduction Campaign in Australia Over 2 Years
Talbot, L., Thomas, M. M., Bauman, A. E., Manera, K., & Smith, B. J. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210317 · Cited by 18
Potential of Using Twitter to Recruit Cancer Survivors and Their Willingness to Participate in Nutrition Research and Web-Based Interventions: A Cross-Sectional Study
Keaver, L., McGough, A. M., Du, M., Chang, W., Chomitz, V. R., Allen, J. D., Attai, D. J., Gualtieri, L. N., & Zhang, F. F. (2019) · JMIR Cancer · doi:10.2196/cancer.7850 · Cited by 17
We Post It, U Reddit: Exploring the Potential of Reddit for Health Interventions Targeting College Populations
Silberman, W. R., & Record, R. A. (2021) · Journal of Health Communication · doi:10.1080/10810730.2021.1949648 · Cited by 17
Social Media Behavior Guidelines for Healthcare Professionals: An American Society of Pain and Neuroscience NEURON Project
Giuffrida, A., Saia-Owenby, C., Andriano, C., Beall, D. P., Bailey-Classen, A., Buchanan, P. J., Budwany, R. R., Desai, M. J., Comer, A., Dudas, A., et al. (2024) · Journal of Pain Research · doi:10.2147/jpr.s488590 · Cited by 19
Promoting Mental Health During the COVID-19 Pandemic: A Hybrid, Innovative Approach in Malaysia
Ruzlin, A. N. M., Chen, X. W., Yunus, R. M., Samsudin, E. Z., Selamat, M. I., & Ismail, Z. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.747953 · Cited by 22
A modern web-based health promotion program for patients in Greece with diabetes 2 and obesity: an interventional study
Chrysi, M. S., Michopoulos, I., Dimitriadis, G., & Peppa, Μ. (2023) · BMC Public Health · doi:10.1186/s12889-023-15557-3 · Cited by 16
Characteristics of online user-generated text predict the emotional intelligence of individuals
Dover, Y., & Amichai‐Hamburger, Y. (2023) · Scientific Reports · doi:10.1038/s41598-023-33907-4 · Cited by 22
Theoretical approaches of online social network interventions and implications for behavioral change: a systematic review
Arguel, A., Perez‐Concha, O., Li, S. Y. W., & Lau, A. Y. S. (2016) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.12655 · Cited by 16
Self-citation
Social Media for Hepatitis B Awareness: Young Adult and Community Leader Perspectives
Cohen, C. A., Alber, J. M., Bleakley, A., Grossman, S., Freeland, C., Alarcon, K. C., & Merchant, R. M. (2018) · Health Promotion Practice · doi:10.1177/1524839918765438 · Cited by 16
Effect of Adding Online Social Support Tools to an Adult Walking Program
Monroe, C. M., Bassett, D. R., Fitzhugh, E. C., Raynor, H. A., & Thompson, D. L. (2016) · Health Promotion Practice · doi:10.1177/1524839915626674 · Cited by 16
Partnering With Patients, Families, and Communities.
Howrey, B. T., Thompson, B. L., Borkan, J. M., Kennedy, L., Hughes, L. S., Johnson, B., Likumahuwa-Ackman, S., Westfall, J. M., Davis, A. K., & deGruy, F. V. (2015) · PubMed · Cited by 16
Using Social Media for the Prevention of Pediatric Burn Injuries: Pilot Design and Usability Study
Batra, N., Colson, C. D., Alberto, E. C., & Burd, R. S. (2021) · JMIR Formative Research · doi:10.2196/23242 · Cited by 15
Non-use of information and communication technology as a predictor of frailty in postmenopausal midlife and older women
García-Vigara, A., Cano, A., Garrido, J. F., Carbonell‐Asins, J. A., Tarín, J. J., & Sánchez-Sánchez, M. L. (2021) · Maturitas · doi:10.1016/j.maturitas.2021.05.010 · Cited by 15
Health literacy and health care experiences of migrant workers during the COVID-19 pandemic: a qualitative study
Kang, S. J., Hyung, J. A., & Han, H. (2022) · BMC Public Health · doi:10.1186/s12889-022-14487-w · Cited by 18
The Effect of Fitness Apps Usage Intensity on Exercise Adherence Among Chinese College Students: Testing a Moderated Mediation Model
Zhang, T., Zhao, J., & Yu, L. (2023) · Psychology Research and Behavior Management · doi:10.2147/prbm.s408276 · Cited by 16
Empower Psychotherapy with mHealth Apps: The Design of “Safer”, an Emotion Regulation Application
Diano, F., Sica, L. S., & Ponticorvo, M. (2023) · Information · doi:10.3390/info14060308 · Cited by 18
A narrative review of social media interventions aimed at reducing food waste in tourism and hospitality
Zhao, Z., & Cheng, M. (2024) · Current Issues in Tourism · doi:10.1080/13683500.2024.2384527 · Cited by 17
Using Social Media to Promote Life Skills Among Adolescents: A Debate on Opportunities, Challenges, and Implications for Health and Education
Zimmermann, E., & Tomczyk, S. (2025) · Journal of Prevention · doi:10.1007/s10935-025-00826-1 · Cited by 22
Online community use predicts abstinence in combined Internet/phone intervention for smoking cessation.
Papandonatos, G. D., Erar, B., Stanton, C. A., & Graham, A. L. (2016) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000099 · Cited by 16
Micro ad-hoc Health Social Networks (uHSN). Design and evaluation of a social-based solution for patient support
Blanco, T., Casas, R., Marco, Á., & Ruiz, I. M. (2018) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2018.11.009 · Cited by 15
How German health insurance providers use social online networks to promote healthy lifestyles: a content analysis of Facebook® accounts
Loss, J., & von Uslar, C. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-021-01433-w · Cited by 15
#Healthpromotion: A qualitative exploration of how dietitians can use social media to positively influence women aged 18–35 years
Shine, D., Minehan, M., & Knight‐Agarwal, C. (2022) · Nutrition & Dietetics · doi:10.1111/1747-0080.12765 · Cited by 14
Effectiveness of Computer Tailoring Versus Peer Support Web-Based Interventions in Promoting Physical Activity Among Insufficiently Active Canadian Adults With Type 2 Diabetes: Protocol for a Randomized Controlled Trial
Boudreau, F., Moreau, M., & Côté, J. (2016) · JMIR Research Protocols · doi:10.2196/resprot.5019 · Cited by 15
How we use the Internet matters for health: The relationship between various online health-related activities and preventive dietary behaviors
Chae, J. (2017) · Health Informatics Journal · doi:10.1177/1460458217735675 · Cited by 16
How does anonymous online peer communication affect prevention behavior? Evidence from a laboratory experiment
Saran, I., Fink, G., & McConnell, M. A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0207679 · Cited by 14
A Prescription for Internet Access: Appealing to Middle-Aged and Older Racial and Ethnic Minorities Through Social Network Sites to Combat Colorectal Cancer
Lumpkins, C. Y., Mabachi, N. M., Lee, J., Pacheco, C., Greiner, K. A., & Geana, M. (2016) · Health Communication · doi:10.1080/10410236.2016.1195679 · Cited by 15
Digital Transformation: The Role, Potential, and Limitations of ChatGPT in Child Health Education
Elmaoğlu, E., Coşkun, A. B., & Alsaç, S. Y. (2023) · American Journal of Health Education · doi:10.1080/19325037.2023.2277937 · Cited by 15
The emotional effect of terrorism
Bove, V., Efthyvoulou, G., Ghazaryan, A., & Pickard, H. (2024) · Scientific Reports · doi:10.1038/s41598-024-77350-5 · Cited by 14
The Effects of Website Traits and Medical Skepticism on Patients’ Willingness to Follow Web-Based Medical Advice: Web-Based Experiment
Claggett, J. L., Kitchens, B., Paino, M., & Levin, K. B. (2021) · Journal of Medical Internet Research · doi:10.2196/29275 · Cited by 14
Reassessing the impact of social media on healthcare delivery: insights from a less digitalized economy
Bruce, E., Shurong, Z., Amoah, J. O., Egala, S. B., & Frimpong, F. K. S. (2024) · Cogent Public Health · doi:10.1080/27707571.2023.2301127 · Cited by 18
Social anxiety and bullying victimization: A three-level meta-analysis of cross-sectional and longitudinal studies
Deng, J., Liu, J., Luo, J., Pi, Y., Pan, J., Fu, Z., & Tang, X. (2024) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2024.107052 · Cited by 17
Technology-Assisted Congestive Heart Failure Care
Iyngkaran, P., Toukhsati, S. R., Biddagardi, N., Zimmet, H., Atherton, J. J., & Hare, D. L. (2015) · Current Heart Failure Reports · doi:10.1007/s11897-014-0251-3 · Cited by 14
Online Public Health Intelligence: Ethical Considerations at the Big Data Era
Mamiya, H., Shaban‐Nejad, A., & Buckeridge, D. L. (2017) · Lecture notes in social networks · doi:10.1007/978-3-319-68604-2_8 · Cited by 14
Interplay of Support, Comparison, and Surveillance in Social Media Weight Management Interventions: Qualitative Study
Chang, L., Chattopadhyay, K., Li, J., Xu, M., & Li, L. (2021) · JMIR mhealth and uhealth · doi:10.2196/19239 · Cited by 20
Creating a Social Media Assessment Tool for Family Nursing
Risling, T., Risling, D., & Holtslander, L. F. (2016) · Journal of Family Nursing · doi:10.1177/1074840716681071 · Cited by 14
Reach and Acceptability of a Mobile Reminder Strategy and Facebook Group Intervention for Weight Management in Less Advantaged Adolescents: Insights From the PRALIMAP-INÈS Trial
Saez, L., Langlois, J., Legrand, K., Quinet, M.-H., Lecomte, E., Omorou, A. Y., Briançon, S., & PRALIMAP-INÈS Trial Group (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.7657 · Cited by 13
Beyond Direct Benefits: Indirect Health Benefits of Social Media Use
Wiederhold, B. K. (2017) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2016.29059.bkw · Cited by 14
Feasibility of Using an Artificial Intelligence-based Telephone Application for Dietary Assessment and Nudging to Improve the Quality of Food Choices of Female Adolescents in Vietnam: Evidence from a Randomized Pilot Study
Braga, B. C., Nguyen, P. H., Tran, L. M., Hoang, N. T., Bannerman, B., Doyle, F., Folson, G. K., Gangupantulu, R., Karachiwalla, N., Kolt, B., et al. (2023) · Current Developments in Nutrition · doi:10.1016/j.cdnut.2023.102063 · Cited by 13
Integration of Chatgpt and E-Health Literacy: Opportunities, Challenges, and a Look Towards the Future
Coşkun, A. B., Elmaoğlu, E., Buran, C., & Alsaç, S. Y. (2024) · Journal of Health Reports and Technology · doi:10.5812/jhrt-139748 · Cited by 13
User Perceptions of the Make Healthy Normal campaign Facebook Page: A Mixed Methods Study
Kite, J., McGill, B., Freeman, B., Vineburg, J., Li, V., Berton, N., & Grunseit, A. C. (2018) · Social Media + Society · doi:10.1177/2056305118794639 · Cited by 13
Social Networks and Mobile Applications Use in Young Patients With Kidney Disease
Haddad, R. N., & Mourani, C. C. (2019) · Frontiers in Pediatrics · doi:10.3389/fped.2019.00045 · Cited by 13
Linking Network Characteristics of Online Social Networks to Individual Health: A Systematic Review of Literature
Zhang, R., & Fu, J. S. (2020) · Health Communication · doi:10.1080/10410236.2020.1773703 · Cited by 14
Parental experiences with vaccine information statements: Implications for timing, delivery, and parent-provider immunization communication
Frew, P. M., Chung, Y., Fisher, A. K., Schamel, J. T., & Basket, M. M. (2016) · Vaccine · doi:10.1016/j.vaccine.2016.10.026 · Cited by 13
Social, mobility and contact networks in shaping health behaviours and infectious disease dynamics: a scoping review
Cheng, Z., Ruktanonchai, N., Wesolowski, A., Pei, S., Wang, J., Cockings, S., Tatem, A. J., & Lai, S. (2025) · Infectious Diseases of Poverty · doi:10.1186/s40249-025-01378-6 · Cited by 15
Global disparities in the burden of pancreatic cancer (1990–2021): insights from the 2021 Global Burden of Disease study
Liu, W. C., Rao, L., Qiao, Z.-G., Wang, G., Li, B., & Shen, G. (2025) · BMC Cancer · doi:10.1186/s12885-025-14110-2 · Cited by 14
Characterizing Organ Donation Awareness from Social Media
Pacheco, D. F., Pinheiro, D., Cadeiras, M., & de Menezes, R. P. (2017) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2017.225 · Cited by 10
Community-Driven Priorities in Smartphone Application Development: Leveraging Social Networks to Self-Manage Type 2 Diabetes in a Low-Income African American Neighborhood
Surkan, P. J., Mezzanotte, K. S., Sena, L., Chang, L. W., Gittelsohn, J., Lagerros, Y. T., Quinn, C. C., & Zachary, W. W. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16152715 · Cited by 13
Social media interventions for autistic individuals: Systematic review
Gabarrón, E., Skafle, I., Nordahl‐Hansen, A., & Wynn, R. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1089452 · Cited by 12
Use of a mobile social networking intervention for weight management: a mixed-methods study protocol
Laranjo, L., Lau, A. Y. S., Martin, P. B., Tong, H. L., & Coiera, E. W. (2017) · BMJ Open · doi:10.1136/bmjopen-2017-016665 · Cited by 15
Self-citation
Analyzing Trend for U.S. Immigrants’ e-Health Engagement from 2008 to 2013
Zhao, X., Yang, B., & Wong, C.-W. (2018) · Health Communication · doi:10.1080/10410236.2018.1475999 · Cited by 12
Four Dissemination Pathways for a Social Media–Based Breastfeeding Campaign: Evaluation of the Impact on Key Performance Indicators
Harding, K. L., Pérez‐Escamilla, R., Carroll, G. J., Aryeetey, R., & Lasisi, O. (2019) · JMIR Nursing · doi:10.2196/14589 · Cited by 12
The Public Health Impact and Policy Implications of Online Support Group Use for Mental Health in Singapore: Cross-Sectional Survey
Roystonn, K., Vaingankar, J. A., Chua, B. Y., Sambasivam, R., Shafie, S., Jeyagurunathan, A., Verma, S. K., Abdin, E., Chong, S. A., & Subramaniam, M. (2020) · JMIR Mental Health · doi:10.2196/18114 · Cited by 13
Children's at Home: Pilot Study Assessing Dedicated Social Media for Parents of Adolescents with Neurofibromatosis Type 1
Akré, C., Polvinen, J., Ullrich, N. J., & Rich, M. (2018) · Journal of Genetic Counseling · doi:10.1007/s10897-018-0213-0 · Cited by 12
Using social media to increase preventative behaviors against arboviral diseases: a pilot study among teens in the Dominican Republic
Gamboa, J. E., Lamb, M. M., de la Cruz, P., Bull, S. S., & Olson, D. (2019) · mHealth · doi:10.21037/mhealth.2019.07.03 · Cited by 11
Strategies and bottlenecks to tackle infodemic in public health: a scoping review
Gentili, A., Villani, L., Osti, T., Corona, V. F., Gris, A. V., Zaino, A., Bonacquisti, M., De Maio, L., Solimene, V., Gualano, M. R., et al. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1438981 · Cited by 11
A theory-based video intervention to enhance communication and engagement in online health communities: two experiments
Kilb, M., Dickhäuser, O., & Mata, J. (2022) · Health Psychology and Behavioral Medicine · doi:10.1080/21642850.2022.2032074 · Cited by 13
Exploring the Impact of Safer Sports Betting Promotion on Social Media: An Experimental Study
Houghton, S., & Moss, M. C. (2024) · Journal of Gambling Studies · doi:10.1007/s10899-024-10280-z · Cited by 11
Download Your Doctor: Implementation of a Digitally Mediated Personal Physician Presence to Enhance Patient Engagement With a Health-Promoting Internet Application
Lygidakis, C., Wallace, P., Tersar, C., Marcatto, F., Ferrante, D., Vedova, R. D., Scafuri, F., Scafato, E., & Struzzo, P. (2016) · JMIR Research Protocols · doi:10.2196/resprot.5232 · Cited by 11
Recognizing and Mitigating the Negative Effects of Information Technology Use: A Systematic Review of Persuasive Characteristics in Information Systems
Kuonanoja, L., & B, H. O.-K. A. (2018) · Lecture notes in business information processing · doi:10.1007/978-3-319-96367-9_2 · Cited by 11
Influencing the Binge-Drinking Culture on a College Campus
Kessler, T. A., & Kurtz, C. P. (2018) · Nurse Educator · doi:10.1097/nne.0000000000000559 · Cited by 11
Is the popularity of social networking services beneficial for public health? Focusing on active travel and BMI
Hong, J., Siła-Nowicka, K., & McArthur, D. P. (2018) · Journal of Transport & Health · doi:10.1016/j.jth.2018.09.003 · Cited by 11

Authors: Laranjo, L., Arguel, A., Neves, A. L., Gallagher, A. M., Kaplan, R., Mortimer, N., Mendes, G. A., & Lau, A. Y. S.
Affiliations: Universidade Nova de Lisboa (PT)
UNSW Sydney (AU)
Universidade do Porto (PT)
Royal Hospital for Women (AU)
ACES Estuário do Tejo, Lisbon, Portugal
Corresponding author: Laranjo, Liliana
ORCID: Laranjo, Liliana
Arguel, Amaël
Neves, Ana L
Lau, Annie Y S
Venue: Journal of the American Medical Informatics Association
Publisher: Oxford University Press (OUP)
Published: 2014-07-08
Volume: 22
Issue: 1
Pages: 243-256
ISSN: 1067-5027 (ISSN-L)
1527-974X
DOI: 10.1136/amiajnl-2014-002841
PMC: PMC4433372
OpenAlex: W2128000797
Cited by: 661
References: 74
Citations by year: 2026: 24 · 2025: 55 · 2024: 51 · 2023: 49 · 2022: 60 · 2021: 66 · 2020: 75 · 2019: 58 · 2018: 78 · 2017: 65 · 2016: 48 · 2015: 30 · 2014: 2
FWCI: 7.00
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: Journal of the American Medical Informatics Association (publishedVersion)
Europe PMC (PubMed Central) (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
HAL (submittedVersion)
Funders: Medical Research Council
National Health and Medical Research Council (1032664)
Topics: Social Sciences › Health › Social Media in Health Education
Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
Keywords: social networking sites, health behavior change, Facebook, Twitter, health interventions, multicomponent intervention, health behavior theory, online health promotion
MeSH terms: Health Promotion, Humans, Health Behavior, Consumer Health Information, Social Networking, Social Media

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

The influence of social networking sites on health behavior change: a systematic review and meta-analysis

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks