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 401–500 of 660

Psychotherapy Using Electronic Media
Mucić, D., & Hilty, D. M. (2019) · Springer eBooks · doi:10.1007/978-3-030-24082-0_15 · Cited by 5
Web- and Internet-Based Services: Education, Support, Self-Care, and Formal Treatment Approaches
Mucić, D., Hilty, D. M., Parish, M. B., & Yellowlees, P. (2015) · Springer eBooks · doi:10.1007/978-3-319-20852-7_9 · Cited by 5
The Bigger Picture: Picking the Right Soap Box—Is it Possible to Connect with Different Audience Targets (Practitioners and Patients) from the Same Platform?
Abbass, M., Keshava, H. B., & Delaney, C. P. (2017) · Clinics in Colon and Rectal Surgery · doi:10.1055/s-0037-1604258 · Cited by 5
Caregiving Is a Marathon, Not a Road Race: Reenvisioning Caregiver Support Services in Gynecologic Oncology
Hand, L. C., Thomas, T. H., Belcher, S. M., Campbell, G. B., Lee, Y. J., Roberge, M. C., Lizaso, C., Sparacio, D., & Donovan, H. S. (2018) · International Journal of Gynecological Cancer · doi:10.1097/igc.0000000000001360 · Cited by 5
Sexual Assertiveness Skills and Decision-Making in Adolescent Girls: Moving to Replication, Scale, and Digital Health Impact
Bull, S. S. (2017) · American Journal of Public Health · doi:10.2105/ajph.2017.304170 · Cited by 6
Mapping the online and offline health information seeking behavior among older adults: a systematic review
Rafiq, S., Ya, C., Wu, J., & Waqas, M. (2025) · Aslib Journal of Information Management · doi:10.1108/ajim-08-2024-0702 · Cited by 4
Maintaining healthy lifestyle behaviours in the era of social media: Challenges and solutions
Chaput, J., & LeBlanc, A. G. (2025) · Preventive Medicine · doi:10.1016/j.ypmed.2025.108395 · Cited by 7
Hybrid machine learning approach for community and overlapping community detection in social network
Divyapushpalakshmi, M., & Ramalakshmi, R. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4161 · Cited by 5
Evaluating the Presence of Hospitals on Social Media
Al-Hussainan, A. F., Jasem, Z. A., & Alhuwail, D. (2022) · International Journal of Healthcare Information Systems and Informatics · doi:10.4018/ijhisi.299954 · Cited by 4
The impact of the Caremongering social media movement: A convergent parallel mixed‐methods study
Bishop, V. R., Bainbridge, D. B., Kumar, S., Williams, A., Law, M. P., Pesut, B., Chochinov, H. M., & Seow, H. Y. (2022) · Health & Social Care in the Community · doi:10.1111/hsc.13933 · Cited by 4
SOSYAL MEDYANIN ÜNİVERSİTE ÖĞRENCİLERİNİN YEME TUTUM VE DAVRANIŞLARINA OLAN ETKİSİ
Çapaş, M., & Çavdar, M. (2023) · Sağlık Bilimleri Dergisi · doi:10.34108/eujhs.1202614 · Cited by 4
Education Changes Child Health Behavior in China: A Mediating Role of Information Technology
Zhu, Y., Gu, L., & Li, J. (2023) · American Journal of Health Behavior · doi:10.5993/ajhb.47.2.20 · Cited by 4
The Influence of Joe Wicks on Physical Activity During the COVID-19 Pandemic: Thematic, Location, and Social Network Analysis of X Data
Ahmed, W., Aiyenitaju, O., Chadwick, S., Hardey, M., & Fenton, A. (2024) · Journal of Medical Internet Research · doi:10.2196/49921 · Cited by 6
Influence of Social Media on Physical Activity Engagement in Indonesia
Herman, J. K. (2024) · American Journal of Recreation and Sports · doi:10.47672/ajrs.2047 · Cited by 4
Randomized non-inferiority trial comparing an asynchronous remotely-delivered versus clinic-delivered lifestyle intervention
Pagoto, S., Goetz, J. M., Xu, R., Wang, M. L., Palmer, L., & Lemon, S. C. (2024) · International Journal of Obesity · doi:10.1038/s41366-024-01617-0 · Cited by 5
Leveraging Social Media in the Stem Cell Sector: Exploring Twitter's Potential as a Vehicle for Public Information Campaigns
McNutt, K., & Zarzeczny, A. (2017) · Regenerative Medicine · doi:10.2217/rme-2017-0055 · Cited by 4
Barriers to Integrate Physical Exercise Into the Ethiopian Healthcare System to Treat Non-Communicable Diseases
Kassa, M. D., & Grace, J. M. (2018) · Global Journal of Health Science · doi:10.5539/gjhs.v10n10p123 · Cited by 4
Sağlık Alanında Kamu Kurumlarının Sosyal Medya Kullanımına Bir Örnek: Sağlık Bakanlığı 2017 yılı Twitter Hesabının İncelenmesi
Şenol, Y., & Avcı, K. (2019) · Kocatepe tıp dergisi. · doi:10.18229/kocatepetip.403283 · Cited by 4
Privacy-Preserving Friend Recommendation in an Integrated Social Environment
Uplavikar, N., Vaidya, J. S., Lin, D., & Jiang, W. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-65610-2_8 · Cited by 4
Timestamp analysis of mental health tweets of Twitter users along with COVID-19 confirmed cases
Sadasivuni, S. T., & Zhang, Y. (2022) · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · doi:10.1145/3535508.3545543 · Cited by 4
Effects of Engagement with a Social Media Campaign for Mothers to Prevent Indoor Tanning by Teens in a Randomized Trial
Buller, D. B., Pagoto, S., Henry, K. L., Baker, K., Walkosz, B. J., Hillhouse, J., Berteletti, J., & Bibeau, J. (2022) · Journal of Health Communication · doi:10.1080/10810730.2022.2113839 · Cited by 4
Association between Migraine and Workplace Social Support in the Social Context of China: Using a Validated Chinese Version of the DCSQ
Wei, D., Chang, Y., Lu, X., Fan, X., Hu, J., Manta, O. P., & Kaabar, M. K. A. (2023) · Healthcare · doi:10.3390/healthcare11020171 · Cited by 4
RETRACTED ARTICLE: Social media analytics and their applications to evaluate an activity in online health interventions using CRITIC and TOPSIS techniques
Lin, Y., Alshehri, Y. A., Alnazzawi, N., Abid, M., Khan, S., Jabeen, F., & Elwarfalli, I. (2023) · Soft Computing · doi:10.1007/s00500-023-08004-3 · Cited by 4
Retracted
Physical activity to reduce the burden of frailty after menopause: effectiveness and adherence rate of a resource saving exercise plan
García-Vigara, A., Garrido, J. F., Carbonell‐Asins, J. A., Sánchez-Sánchez, M. L., Monllor-Tormos, A., García‐Pérez, M. Á., Tarín, J. J., & Cano, A. (2024) · Menopause The Journal of The North American Menopause Society · doi:10.1097/gme.0000000000002372 · Cited by 4
Agreement and Disparities between Women and Stop-Smoking Specialists about How to Promote Adherence to Nicotine Replacement Therapy in Pregnancy
McDaid, L., Thomson, R., Emery, J. L., Coleman, T. J., Cooper, S. E., Phillips, L., & Naughton, F. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18094673 · Cited by 4
Patient Engagement With Urologists on Social Media in a Community Practice
Leelani, N. A., Barnett, P. A., Nguyen, S., & Hyatt, D. C. (2021) · Cureus · doi:10.7759/cureus.18029 · Cited by 4
Utilizing Facebook and Automated Telephone Calls to Increase Adoption of a Local Smoke Alarm Installation Program
Frattaroli, S., Schulman, E., McDonald, E. M., Omaki, E. C., Shields, W. C., Jones, V., & Brewer, W. (2018) · Journal of Public Health Management and Practice · doi:10.1097/phh.0000000000000788 · Cited by 4
Instagram Posts Promoting Colorectal Cancer Awareness: Content Analysis of Themes and Engagement During Colorectal Cancer Awareness Month
Srivastava, A., & Stimpson, J. P. (2025) · JMIR Formative Research · doi:10.2196/63344 · Cited by 3
Optimizing social media influencers for health communication in Africa
Simba, H., & Girma, E. (2025) · Global Health Action · doi:10.1080/16549716.2025.2572009 · Cited by 3
Social media use and disordered eating in young adults: the protective and risk pathways of physical activity and body image
Yu, W., Cui, L., Liu, C., Wang, J., Li, J., & Lipowski, M. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1699756 · Cited by 3
An International Systematic Review Concerning the Effect of Social Media Exposure on Public Compliance with Infection Prevention and Control Measures During the COVID-19 Pandemic
Wall, R., Evers, J., & Haydock, D. (2023) · Journal of Infection Prevention · doi:10.1177/17571774231159574 · Cited by 3
Technology for early detection and diagnosis of mental disorders: An evidence synthesis
Pandya, A., Lodha, P., & Gupta, A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23637-2.00019-9 · Cited by 4
Knowledge of food habit and other daily habit are the determinants of health status: A study among the students of Chattogram regions
Al-Mamun, A., Debnath, P., Siddika, F., & Islam, M. J. (2019) · Asian Journal of Health Sciences · doi:10.15419/ajhs.v5i2.456 · Cited by 3
The era of the digital natives is approaching: Insights into online peer-to-peer support for persons affected by prostate cancer
Haun, M. W., Ihrig, A., Karschuck, P., Thomas, C., & Huber, J. C. (2020) · World Journal of Urology · doi:10.1007/s00345-020-03114-1 · Cited by 3
Hemodiyaliz Hastalarında Fistül Bakımı ve Mobil Sağlık Uygulamaları
Özdemir, C., & Şendir, M. (2020) · Turk Nefroloji Diyaliz ve Transplantasyon Hemsireleri Dernegi · doi:10.47565/ndthdt.2020.22 · Cited by 3
Use of Live Community Events on Facebook to Share Health and Clinical Research Information With a Minnesota Statewide Community: Exploratory Study
Cha, J., West, I. W., Brockman, T. A., Soto, M. V., Balls‐Berry, J. E., Eder, M., Patten, C. A., & Cohen, E. L. (2021) · JMIR Formative Research · doi:10.2196/30973 · Cited by 3
A Parent-Based Intervention for Reducing High-risk Social Media Cognitions, Alcohol Use, and Negative Consequences Among Adolescents: Protocol for a Randomized Controlled Pilot Study
Litt, D., Geusens, F., Seamster, A., & Lewis, M. A. (2022) · JMIR Research Protocols · doi:10.2196/38543 · Cited by 3
Interventions using social networking sites to promote contraception in women of reproductive age
Jawad, A., Jawad, I., & Alwan, N. A. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012521 · Cited by 3
The edge-cloud continuum in wearable sensing for respiratory analysis
Fotopoulos, A., Lappas, P. Z., & Melitsiotis, A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-823447-1.00002-6 · Cited by 3
Detecting the research structure and topic trends of social media using static and dynamic probabilistic topic models
haq, M. I. U., Li, Q., Hou, J., & Iftekhar, A. (2022) · Aslib Journal of Information Management · doi:10.1108/ajim-02-2022-0091 · Cited by 6
Public Health Messaging to Address Indoor Tanning: A Scoping Review
Gosselin, S., Thaivalappil, A., Papadopoulos, A., & McWhirter, J. E. (2023) · Journal of Health Communication · doi:10.1080/10810730.2023.2196519 · Cited by 4
How to facilitate peer support – learnings from the development of a peer support program for people with T2DM via instant messaging service to improve diabetes self-management
Hemetek, U., Aubram, T., Grüblbauer, J., & Höld, E. (2025) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2024.1491865 · Cited by 3
Psychometric Analysis of Items Evaluating Health Belief Model Constructs in Social Media Posts: Application of Rasch Measurement Model
Jia, X., & Ahn, S. (2025) · Behavioral Sciences · doi:10.3390/bs15020204 · Cited by 3
Health and Fitness Articles on Facebook-A Content Analysis
Jaggi, R. K., Ghosh, M., Prakash, G., & Patankar, S. (2017) · Indian Journal of Public Health Research & Development · doi:10.5958/0976-5506.2017.00428.4 · Cited by 3
Technologies for Ageing in Place: A Systematic Review of Reviews and Meta-analyses
Pereira, L. T., Dias, A. A. D. C., Queirós, A., & Rocha, N. P. (2018) · Communications in computer and information science · doi:10.1007/978-3-319-94806-5_18 · Cited by 3
Digital Technology and Health: A Theoretical Framework
Šmahel, D., Macháčková, H., Šmahelová, M., Čevelíček, M., Almenara, C. A., & Holubčíková, J. (2018) · Springer eBooks · doi:10.1007/978-3-319-93221-7_2 · Cited by 3
Defining healthstyles to plan behavior change interventions in representative samples of children and adults
Birkás, B., Tóth, G., Balku, E., Nárai, E., & Vitrai, J. (2020) · Psychology Health & Medicine · doi:10.1080/13548506.2020.1762903 · Cited by 3
USING SOCIAL NETWORKING SITES DURING PUBLIC HEALTH CRISES
Vos, S. C. (2016) · UKnowledge (University of Kentucky) · doi:10.13023/etd.2016.053 · Cited by 3
Assessing user engagement in a health promotion website using social networking
Tague, R., Maeder, A. J., Vandelanotte, C., Kolt, G. S., Caperchione, C. M., Rosenkranz, R. R., Savage, T. N., & Itallie, A. K. V. (2014) · Studies in health technology and informatics · doi:10.3233/978-1-61499-456-5-84 · Cited by 3
The influence of health information source credibility and e health literacy on health information orientation of parents of local hospitalized children
Kim, K.-J., & Lee, I. (2016) · Journal of Digital Convergence · doi:10.14400/jdc.2016.14.6.295 · Cited by 3
Tuits saludables: El uso e importancia de Twitter para la prevención en salud
Vasquez, L. M. F., Rico, A. P., & Borges-Tavárez, R. W. (2017) · Contratexto · doi:10.26439/contratexto2017.n028.1554 · Cited by 3
Towards Obesity Surveillance Using Multifaceted Online Social Relational Factors in Reddit
Park, A., & Ge, Y. (2019) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v11i1.9722 · Cited by 3
Do Birds of a Feather Flock Together Within a Team-Based Physical Activity Intervention? A Social Network Analysis
Edney, S. M., Olds, T., Ryan, J. C., Plotnikoff, R. C., Vandelanotte, C., Curtis, R., & Maher, C. A. (2019) · Journal of Physical Activity and Health · doi:10.1123/jpah.2018-0585 · Cited by 3
Social Networks and Their Role in Current Medicine: An Indispensable Tool for Doctors
Espino-Gaucín, I., Rodríguez, C. E. R., Ávila, J. R., Soto, J., Ruge, C. O. M., & Martínez-Wagner, R. (2020) · Journal of Biosciences and Medicines · doi:10.4236/jbm.2020.88002 · Cited by 3
Intervention development for exercise promotion at active charity events in the UK
Jones, B. A., Munir, F., Harris, P. S., Bhatnagar, P., & Stevinson, C. D. (2020) · Health Promotion International · doi:10.1093/heapro/daaa012 · Cited by 3
The impact of social networks and social support on mental disorders and mortality
Santini, Z. I. (2016) · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya) · doi:10.13140/rg.2.2.17298.25282 · Cited by 4
User Engagement with COVID-19 Visualizations on TwitterPreprint
Kasumba, R., Pandey, S., Patel, V., Wolfson, M., & Ottley, A. (2022) · doi:10.31219/osf.io/es6ua · Cited by 3
Evaluation of a Digital Media Campaign to Promote Knowledge and Awareness of the GPFirst Program for Nonurgent Conditions: Repeated Survey Study
Ong, R. H. S., Oh, H. C., Goh, P. S. K., Hui, L. L. S., Razali, M. R. M., Ahmad, E. A., Raghuram, J., How, C. H., & Lim, H. C. (2025) · JMIR Public Health and Surveillance · doi:10.2196/66062 · Cited by 3
Understanding Group Engagement in Online Peer Support Groups: Influence of Structured Elements and Organic Interactions
Уэтова, Е., Hederman, L., Ross, R., Oppezzo, M., & O’Sullivan, D. M. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3719818 · Cited by 2
Do we message with empowerment, empathy, or collectivity? A social media campaign microtargeting young Americans to encourage engagement with a bilingual COVID-19 chatbot
Sangha, P., Weeks, R., Miller, E. A., Sedoc, J., Lacey, H., Liang, C. A., & Agarwal, S. (2025) · Journal of Social Marketing · doi:10.1108/jsocm-06-2024-0139 · Cited by 2
Impact of Social Media Use on HIV Testing and Related Mediator among Men Who Have Sex with Men in Shandong Province, China
Mboussi, D. A. S., Lin, Y., Fornah, L., & Ma, W. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20075383 · Cited by 2
Digital Technology for Person-Centered Care
Glare, P. A., Liliana, L. D. S., Kirisci, L., & Ashton-James, C. E. (2023) · Springer eBooks · doi:10.1007/978-3-031-17650-0_15 · Cited by 3
Theme and sentiment of posts in a weight loss subreddit predict popularity, engagement, and users’ weight loss: a computational approach
Yang, Q., Ledbetter, A. M., Zhuang, J., & Richards, A. S. (2023) · Human Communication Research · doi:10.1093/hcr/hqad023 · Cited by 2
Socio-ecological influences on adolescent dietary typologies
Greatwood, H. C., McGregor, S., Duckworth, L. C., & Griffiths, C. (2023) · Nutrition and Health · doi:10.1177/02601060231186297 · Cited by 4
AI IN NOMOPHOBIA DETECTION: LEVERAGING ARTIFICIAL INTELLIGENCE TO IDENTIFY AND ADDRESS SMARTPHONE DEPENDENCY
Padmavathy, R. (2023) · EPRA International Journal of Multidisciplinary Research (IJMR) · doi:10.36713/epra13909 · Cited by 3
Twitch Data in Health Promotion Research: Protocol for a Case Study Exploring COVID-19 Vaccination Views Among Young People
Chau, B., Taba, M., Dodd, R. H., McCaffery, K. J., & Bonner, C. (2023) · JMIR Research Protocols · doi:10.2196/48641 · Cited by 2
Privacy of Information and Data
Kavak, A. (2024) · Advances in information quality and management · doi:10.4018/979-8-3693-0472-3.ch009 · Cited by 2
Social media use and the relationship with colorectal cancer screening among foreign-born populations in the United States
Atarere, J. O., Annor, E., Bilalaga, M. M., Egbo, O. J., Gaddipati, G. N., Vasireddy, R., Mensah, B., & Roberts, L. R. (2025) · Cancer Causes & Control · doi:10.1007/s10552-025-01985-6 · Cited by 2
“Dysphoria? Don’t Know Them”: Applying the Health Belief Model in a Reflexive Thematic Analysis of Masculinizing Top Surgery-Related Content on TikTok
Cavic, E., Cullen, A., Sims, G. M., & Breslow, A. S. (2025) · Health Promotion Practice · doi:10.1177/15248399251331948 · Cited by 2
Assessing Patient Experience and Patient Preference when Designing Web Support for Smoking Cessation
Sillence, E., Harris, P. R., & Briggs, P. (2015) · International Conference on Digital Health · doi:10.1145/2750511.2750516 · Cited by 2
Impact of Social Networking Sites on Children in Military Families
McGuire, A., & Steele, R. G. (2016) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-016-0206-1 · Cited by 2
A Systematic Review of Literature Reporting on Studies Analysing Technologies for Ageing in Place to Support Community-Dwelling Older Adults
Queirós, A., Santos, M., Cerqueira, M., & Rocha, N. P. (2017) · Journal of Information Systems Engineering & Management · doi:10.20897/jisem.201717 · Cited by 4
A comprehensive analysis of #Enuresis conversation on Twitter
Yu, J., Balasubramanian, A., Gerber, J. A., & Seth, A. (2020) · Canadian Urological Association Journal · doi:10.5489/cuaj.6260 · Cited by 2
THE IMPACT AND ROLE OF SOCIAL MEDIA FOR CONSCIOUSNESS OF COVID-19 PANDEMIC
Chouhan, V. K., Vasita, M. L., & Goswami, S. (2020) · Cited by 2
MODEL OF PSYCHOLOGICAL INFLUENCE IN SOCIAL MEDIA
Занковский, А. Н., & Латынов, В. В. (2021) · Институт психологии Российской Академии Наук Организационная психология и психология труда · doi:10.38098/ipran.opwp.2021.18.1.001 · Cited by 1
Adverse Drug Reaction Analysis Methods and Research Trends by Data Sources for Post-marketing Surveillance
Shin, H., Park, S., & Lee, S. (2022) · Journal of Health Informatics and Statistics · doi:10.21032/jhis.2022.47.s3.s41 · Cited by 2
The Health Challenges at Menopause and Midlife: Sustainability, ICT Technology and Patient Empowerment
Cano, A., & Traver, V. (2017) · Springer eBooks · doi:10.1007/978-3-319-59318-0_21 · Cited by 2
Promotional tools used by medical insurance companies : an international student perspective
Chibvura, F. R. (2017) · doi:10.51415/10321/2641 · Cited by 2
Introduction: Promises and Perils of eHealth
Hale, T. M., Chou, W. S., Cotten, S. R., & Khilnani, A. (2018) · Emerald Group Publishing Limited eBooks · doi:10.1108/s2050-206020180000015007 · Cited by 1
Adolescent Health Literacy, Social Media Exposure, and Perceived Health Status
Buot, J. B. L., & Dy, M. F. R. (2020) · IAFOR Journal of Psychology & the Behavioral Sciences · doi:10.22492/ijpbs.6.1.04 · Cited by 1
How online health groups help you lose weight: The role of group composition and social contact
Zhou, Y., & Zhu, J. J. H. (2022) · Digital Health · doi:10.1177/20552076221112838 · Cited by 1
Breast Cancer Knowledge, Attitude and Practice among Metro Women of India Using Social Media: A Cross-Sectional Study
Sinha, N., & Sharma, A. (2023) · Current Women s Health Reviews · doi:10.2174/1573404819666221230143445 · Cited by 1
The Role of Health Education, Policies, and Services on College Students' Health Behavior
Jian-ying, L., Li, C., & Liu, M. (2022) · American Journal of Health Behavior · doi:10.5993/ajhb.46.6.4 · Cited by 1
Mental Health Conditions of Adults with Chronic Obstructive Pulmonary Disease and Comorbidities
Hinson-Enslin, A. M., Espinoza, L. E., & Talleff, J. L. (2025) · Journal of Social Behavioral and Health Sciences · doi:10.5590/jsbhs.2025.19.1660 · Cited by 1
Are AudioviSual maTERials disseminated via sOcIal meDia effective to improve evidence-based rehabilitation implementation for physiotherapists (ASTEROID trial)? A feasibility study
Fernandes, M. M. G., Machado, A. C. O., Fanfa, M. D. S., Silveira, A. C., Schreiner, R. A., Dangui, A. J. M., Pellenz, M. M., Rigo, D., Matte, L. M., Mello, E. R., et al. (2025) · BMC Research Notes · doi:10.1186/s13104-025-07259-3 · Cited by 1
Enhancing cardiac rehabilitation adherence through home-based rehabilitation and behavioral nudges: The ERA nudge study design and rationale
Gupta, P., Fletcher, D. R., Durfee, J., Martinez, M., hajoglou, A., Waughtal, J., Bull, S. S., & Peterson, P. N. (2025) · American Heart Journal · doi:10.1016/j.ahj.2025.05.010 · Cited by 1
From hashtags to healing: Social media insights on kinesio taping in Türkiye
Temel, M. H., & Bağcıer, F. (2025) · Journal of Surgery and Medicine · doi:10.28982/josam.8029 · Cited by 1
Recipe-Based nutrition education on instagram: Evaluating visual formats and message dose
Batey, L., & Occa, A. (2025) · Journal of American College Health · doi:10.1080/07448481.2025.2558778 · Cited by 1
Assessing Situational Awareness for Healthful Behaviors and the “Self-Care Gap” Among Non-Hispanic Black and Hispanic Men With Chronic Conditions
Park, J.-H., Franco, C. L. C., Bergeron, C. D., Sherman, L. D., Prochnow, T. M., Brandford, A. A., Zumwalt, R., & Smith, M. L. (2025) · Health Promotion Practice · doi:10.1177/15248399251370369 · Cited by 1
Physical activity health literacy in patients with chronic diseases: a concept analysis
Zhang, X., Bi, R., Wang, X., Bu, Y., Liu, X., Liu, Y., Cui, R., Wang, Y., & Li, H. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1673391 · Cited by 1
A Coach-Supported mHealth Lifestyle Intervention to Reduce Dementia Risk in Persons With Low Socioeconomic Status or a Migration Background: Qualitative Co-Design Study
van der Endt, A. R., Lindhout, J. E., van Apeldoorn, J. A. N., Amponsah, R., Ramkishun, R., Sert, E., Craamer, C., Richard, E., Hoevenaar‐Blom, M. P., & van Charante, E. P. M. (2025) · Journal of Participatory Medicine · doi:10.2196/76094 · Cited by 1
Cognitive and social pathways of influence: Examining social media content, information helpfulness, and dietary changes
Bazi, S., Khmaiseh, H., & Hajawi, D. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105978 · Cited by 1
Social media as a bridge between science and practice? Physiotherapists’ perceptions from a qualitative study
Fernandes, M. O., Mello, E. R., Fanfa, M. D. S., Silveira, A. C. M., Peixoto, M. L., Melchior, A. C. P., Correa, V. A., de Oliveira, V. F., Aliano, G. B., Dangui, A. J. M., et al. (2026) · Clinical Rehabilitation · doi:10.1177/02692155251413198 · Cited by 1
Limited knowledge of preventive measures for cytomegalovirus among pregnant women: an Italian study
Colciago, E., Fernicola, F., Capitoli, G., Merelli, E., Arienti, F., de Chaurand, V. P., Vasarri, M. V., Carli, A. G., & Ornaghi, S. (2026) · Minerva Obstetrics and Gynecology · doi:10.23736/s2724-606x.25.05651-9 · Cited by 1
Navigating direct-to-consumer genetic testing: experiences, decisions and perspectives of Dutch users
Bruins, D., Bührman, E. A. M., Cornel, M. C., van Mil, M. H. W., Ausems, M. G. E. M., Damman, O. C., & Rigter, T. (2026) · European Journal of Human Genetics · doi:10.1038/s41431-026-02022-z · Cited by 1
Too much to trust: how conflicting and misleading health information shape patient trust and social media behavior
Zhang, J., & Gai, L. (2026) · Journal of Marketing Analytics · doi:10.1057/s41270-026-00458-2 · Cited by 1
Eco-consciousness and self-image congruence as predictors of circular purchase intention among young Indian consumers
Vig, S., & Tewary, T. (2026) · Discover Sustainability · doi:10.1007/s43621-026-03043-w · Cited by 1
Effects of digital health interventions on objectively measured physical activity during the perinatal period: a systematic review and meta-analysis
Xu, Y., Liao, M., & Zhang, M. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1786474 · Cited by 2
Social media use for general and oral health information-seeking: a qualitative study in Saudi Arabia
Hamdan, R. H. B., Alwadi, M. A. M., Alsadhan, S. A., & AlJameel, A. H. (2026) · BMC Public Health · doi:10.1186/s12889-026-27951-8 · Cited by 1
From emergence to amplification: an analysis of lifecycle models to address health mis-disinformation in the digital environment
Sheppard, B., Durnell, L., & Haufler, A. J. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1814102 · Cited by 1

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