The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Do u smoke after txt? Results of a randomised trial of smoking cessation using mobile phone text messaging
Open accessAbstract
Objectives: To determine the effectiveness of a mobile phone text messaging smoking cessation programme. Design: Randomised controlled trial Setting: New Zealand Participants: 1705 smokers from throughout New Zealand who wanted to quit, were aged over 15 years, and owned a mobile phone were randomised to an intervention group that received regular, personalised text messages providing smoking cessation advice, support, and distraction, or to a control group. All participants received a free month of text messaging; starting for the intervention group on their quit day to assist with quitting, and starting for the control group at six months to encourage follow up. Follow up data were available for 1624 (95%) at six weeks and 1265 (74%) at six months. Main outcome measures: The main trial outcome was current non-smoking (that is, not smoking in the past week) six weeks after randomisation. Secondary outcomes included current non-smoking at 12 and 26 weeks. Results: More participants had quit at six weeks in the intervention compared to the control group: 239 (28%) v 109 (13%), relative risk 2.20 (95% confidence interval 1.79 to 2.70), p < 0.0001. This treatment effect was consistent across subgroups defined by age, sex, income level, or geographic location (p homogeneity > 0.2). The relative risk estimates were similar in sensitivity analyses adjusting for missing data and salivary cotinine verification tests. Reported quit rates remained high at six months, but there was some uncertainty about between group differences because of incomplete follow up. Conclusions: This programme offers potential for a new way to help young smokers to quit, being affordable, personalised, age appropriate, and not location dependent. Future research should test these findings in different settings, and provide further assessment of long term quit rates.
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In the citing paper
“Previous studies have applied texting to health care interventions [43-47].”
From LIBER8 design and methods: An integrative intervention for loss of control eating among African American and White adolescent girls (2013) · cites this paper as [45]
In the citing paper
“With the exception of the Rodgers intervention [24, 29], these mobile smoking cessation interventions provided a theoretical basis, citing Social Cognitive Theory, Self-Regulation Theory, the Transtheoretical Model, and cognitive–behavioral theory.”
From Health behavior models in the age of mobile interventions: are our theories up to the task? (2011) · cites this paper as [24]
In the citing paper
“Several factors suggest that mCessation may be a viable motivator to quit smoking in Samoa: the high acceptability of the mCessation program among Pacific populations in New Zealand [30], the empirical evidence of its efficacy [15,35], and increasing mobile phone coverage in Samoa [28].”
From Assessing the Cross-Cultural Adaptation and Translation of a Text-Based Mobile Smoking Cessation Program in Samoa (TXTTaofiTapaa): Pilot Study (2018) · cites this paper as [15]
In the citing paper
“The original STOMP design was based on effective brief intervention methods and social cognitive theory, particularly around enhancing self-efficacy for quitting [15] and was retrospectively referenced against the Michie’s Behaviour Change Technique Taxonomy [38].”
From Assessing the Cross-Cultural Adaptation and Translation of a Text-Based Mobile Smoking Cessation Program in Samoa (TXTTaofiTapaa): Pilot Study (2018) · cites this paper as [15]
In the citing paper
“STOMP was designed in New Zealand to deliver targeted, theoretically sound SMS text messages to people who wanted to quit smoking; this original program demonstrated success in a randomized controlled trial by doubling quit rates after 6 weeks compared with unassisted quit attempts, that is 239 (28%) versus 109 (13%), respectively, (P<.001) [15].”
From Assessing the Cross-Cultural Adaptation and Translation of a Text-Based Mobile Smoking Cessation Program in Samoa (TXTTaofiTapaa): Pilot Study (2018) · cites this paper as [15]
In the citing paper
“STOMP was designed in New Zealand to deliver targeted, theoretically sound SMS text messages to people who wanted to quit smoking; this original program demonstrated success in a randomized controlled trial by doubling quit rates after 6 weeks compared with unassisted quit attempts, that is 239 (28%) versus 109 (13%), respectively, (P<.001) [15].”
From Assessing the Cross-Cultural Adaptation and Translation of a Text-Based Mobile Smoking Cessation Program in Samoa (TXTTaofiTapaa): Pilot Study (2018) · cites this paper as [15]
In the citing paper
“For instance, a text messaging behavioral intervention designed for smoking cessation among youth demonstrated improved quit rates at 6 weeks (Rodgers et al., 2005).”
From Substance use recovery outcomes among a cohort of youth participating in a mobile-based texting aftercare pilot program (2014) · cites this paper as Rodgers et al., 2005
In the citing paper
“These interventions have produced favorable outcomes in areas such as weight loss, physical activity, smoking cessation, and anxiety [3-7].”
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Citations
Cites
The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire
HEATHERTON, T. F., KOZLOWSKI, L. T., FRECKER, R. C., & FAGERSTROM, K. (1991) · British Journal of Addiction · doi:10.1111/j.1360-0443.1991.tb01879.x · Cited by 10,738
Transtheoretical therapy: Toward a more integrative model of change.
Prochaska, J. O., & DiClemente, C. C. (1982) · Psychotherapy: Theory, Research & Practice · doi:10.1037/h0088437 · Cited by 3,922
Mackay, J. M., & Eriksen, M. P. (2002) · Medical Entomology and Zoology · Cited by 1,322
Estimates of global mortality attributable to smoking in 2000
Ezzati, M., & Lopez, A. D. (2003) · The Lancet · doi:10.1016/s0140-6736(03)14338-3 · Cited by 1,247
Mortality from smoking worldwide
Peto, R., Lopez, A. D., Boreham, J., Thun, M., Heath, C., & Doll, R. (1996) · British Medical Bulletin · doi:10.1093/oxfordjournals.bmb.a011519 · Cited by 638
The bogus pipeline: A new paradigm for measuring affect and attitude.
JONES, E. E., & Sigall, H. (1971) · Psychological Bulletin · doi:10.1037/h0031617 · Cited by 609
Investing in youth tobacco control: a review of smoking prevention and control strategies
Lantz, P. M. (2000) · Tobacco Control · doi:10.1136/tc.9.1.47 · Cited by 483
The report of the Surgeon General: preventing tobacco use among young people.
Elders, M. J., Perry, C. L., Eriksen, M. P., & Giovino, G. A. (1994) · American Journal of Public Health · doi:10.2105/ajph.84.4.543 · Cited by 273
Adolescent and young adult tobacco prevention and cessation: current status and future directions
Backinger, C. L. (2003) · Tobacco Control · doi:10.1136/tc.12.suppl_4.iv46 · Cited by 254
Allocation of patients to treatment groups in a controlled clinical study
White, S. J., & Freedman, L. S. (1978) · British Journal of Cancer · doi:10.1038/bjc.1978.124 · Cited by 192
Flagged first, then by citations
Research works printed but not linked: 5
- 1992, Am J Prev Med, 14, 405
- 2003, Tobacco Control, 12, iv46
- 1971, Psychopharmacol Bull, 76, 349
- 2003, Tobacco Control, 12, iv26
- 2003, Tobacco Control, 12, iv46
Cited by
Sorted by citations
Items 601–700 of 734
Potential of Mobile Devices in New Zealand Healthcare
Mirza, A. B. (2008) · Cited by 2
Tariq, L., van Gelder, B. M., van Zutphen, M., & Feenstra, T. (2009) · Rivm Repository (Netherlands National Institute for Public Health and the Environment) · Cited by 2
Using digital technologies in community mental health
Treanor, A., Abrar, A., Harris, K., Morris, E., & Carson, J. F. (2010) · Social Work and Social Sciences Review · doi:10.1921/swssr.v14i3.498 · Cited by 2
Developing SMS Health Messages for Pregnant Indigenous Australians Using Persuasive Technology
George, R. (2015) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-4666-9432-3.ch004 · Cited by 2
A fuzzy control-based approach for the selection of health interventions
Calderón, J. M., & Jaimes, L. G. (2018) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc.2018.8319244 · Cited by 2
Bosio, B., & Prunthaller, S. (2019) · Ara · doi:10.1344/ara.v8i2.21100 · Cited by 3
Bibliometric Analysis of Interventional Literature on Mobile Health: The Most Highly Cited Articles
Ameri, A., Salmanizadeh, F., & Bahaadinbeigy, K. (2021) · Frontiers in Health Informatics · doi:10.30699/fhi.v10i1.262 · Cited by 2
A Qualitative Study of the Psychological Effects of Motivational Quotes
Sun, Y. (2024) · Communications in Humanities Research · doi:10.54254/2753-7064/33/20240042 · Cited by 2
Evaluation of a Web-Phone Intervention System on Preventing Smoking Relapse.
Peng, W. (2010) · UTA ResearchCommons (University of Texas Arlington) · Cited by 2
Woensel, W. V., Baig, W., Abidi, S. S. R., & Abidi, S. (2017) · SWAT4LS · Cited by 2
Ferguson, S. G., Jahnel, T., Elliston, K. G., & Shiffman, S. S. (2020) · Cambridge University Press eBooks · doi:10.1017/9781316995808.029 · Cited by 2
Sutton, S. R. (2008) · Medicine · doi:10.1016/j.mpmed.2007.11.018 · Cited by 2
EVALUATING THE USE OF MOBILE PHONE TECHNOLOGY TO ENHANCE POSTNATAL CARE IN SOUTH AFRICA
Mokaya, K. (2010) · Cited by 2
Behavioral Decision Research, Legislation, and Society: Three Cases
Bazerman, M. H. (2007) · Capitalism and Society · doi:10.2202/1932-0213.1020 · Cited by 5
Nudges for Child Support: Applying Behavioral Insights to Increase CollectionsPreprint
Baird, P., Cullinan, D., Landers, P., & Reardon, L. (2016) · SSRN Electronic Journal · Cited by 2
Motivating Smokers to Quit Through a Computer-based Conversational System
Almusharraf, F. (2019) · TSpace (University of Toronto) · Cited by 2
Cognitive Behavioral and eHealth Approaches to Promote Engagement in Treatment
Howren, M. B., Roche, A. I., & Christensen, A. J. (2020) · Wiley eBooks · doi:10.1002/9781119129530.ch12 · Cited by 2
Michie, S., West, R., & Free, C. (2013) · PsycEXTRA Dataset · doi:10.1037/e575882013-001 · Cited by 2
Perreau, E., Belouahchi, S., Castel, D., & Loup‐Escande, É. (2023) · Review of European Studies · doi:10.5539/res.v15n4p1 · Cited by 1
Ybarra, M. L., Feaster, D. J., Garofalo, R., & Bull, S. (2025) · Trials · doi:10.1186/s13063-024-08540-9 · Cited by 1
Ilmaskal, R., Prabandari, Y. S., Oktaria, V., & Saifudin, I. M. M. Y. (2025) · Asian Journal of Social Health and Behavior · doi:10.4103/shb.shb_52_25 · Cited by 1
Oba, T., Moriishi, C., Takano, K., Katahira, K., & Kimura, K. (2025) · JMIR Formative Research · doi:10.2196/79360 · Cited by 1
Förderung der Tabakabstinenz durch neue Kommunikationsmedien und Expertensysteme
Hang, S., Meyer, C., & John, U. (2008) · Springer eBooks · doi:10.1007/978-3-540-75736-8_4 · Cited by 1
[Determining an appropriate scheme for "Quitline" in Japan].
Taniguchi, C., & Tanaka, H. (2015) · PubMed · doi:10.11236/jph.62.3_125 · Cited by 1
Can Technology Assist Teen Smokers to “Kick the Habit”?
Goldschmidt, K. A., & Hasson, C. M. (2012) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2012.02.007 · Cited by 1
Soklaridis, S., López, J., Czyzewski, K., Dragonetti, R., & Selby, P. L. (2013) · The Journal of Smoking Cessation · doi:10.1017/jsc.2013.34 · Cited by 1
Crockett, B., Keleher, H., Rudd, A., Klein, R. A., Locke, B., & Roussy, V. (2013) · Cited by 1
Smoking Cessation: Learning Through App Development
Hassan, E. H., & Sabri, B. A. M. (2016) · Springer eBooks · doi:10.1007/978-981-10-0954-9_32 · Cited by 1
Saheb, T., & Mehrizi, E. A. (2019) · Lecture notes in management and industrial engineering · doi:10.1007/978-3-030-03317-0_35 · Cited by 1
Thornton, A., Hackett, E. L., Wilkie, A., Gallon, J., Grisbrook, T. L., Elliott, C. M., & Ciccarelli, M. (2021) · Disability and Rehabilitation · doi:10.1080/09638288.2021.1986581 · Cited by 1
New Approaches for Improved Service Delivery in Rural Settings
Dipeolu, I. O. (2022) · IntechOpen eBooks · doi:10.5772/intechopen.101705 · Cited by 1
Intensive Longitudinal Designs
Wright, A. G. C., & Hallquist, M. N. (2020) · Cambridge University Press eBooks · doi:10.1017/9781316995808.028 · Cited by 1
Lavender, T., Smyth, R. M., Chimwaza, A. F., Mills, T. A., & Dwan, K. M. (2023) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd015191 · Cited by 1
Nekrasova, E., Fiks, A. G., Wynn, C. S., Torres, A., Griffith, M., Shone, L. P., Localio, R. A., Justine Shults, A., Unger, R., Ware, L. A., et al. (2023) · ACI Open · doi:10.1055/s-0043-1763270 · Cited by 1
Protocol for Randomized, Two Arm Parallel, Clinical Trial for Effectiveness of THR Products in LMIC
Malik, M., Hussain, A., Hashmi, A., & Khan, W. (2023) · Archives of Pharmacy Practice · doi:10.51847/c5aeetrry9 · Cited by 1
Williams, P. P., Washio, Y., Erasmus‐Claassen, L., Taylor, S. N., Browne, F. A., MYERS, B. J., Wechsberg, W. M., & Parry, C. D. H. (2024) · South African Journal of Psychology · doi:10.1177/00812463241269628 · Cited by 2
Randomized Two-Arm Parallel Clinical Trial Protocol Assessing THR Product Effectiveness in LMICs
Malik, M., Hussain, A., Hashmi, A., & Khan, W. (2023) · International Journal of Social and Psychological Aspects of Healthcare · doi:10.51847/k7fefg828h · Cited by 1
Giving Up Smoking Using SMS Messages on your Mobile Phone
Cacho-Elizondo, S., Shahidi, N., & Tossan, V. (2015) · Advances in human and social aspects of technology book series · doi:10.4018/978-1-4666-8450-8.ch004 · Cited by 1
SMSpress: An SMS Research Management System
Khurana, R., Han, Y., & Arriaga, R. I. (2014) · Mobile Computing, Applications, and Services · doi:10.4108/icst.mobicase.2014.257791 · Cited by 1
Improving Family Communication
Medrano, V. R., Bonilla, G., Hernández, E., Romanjek, M. H., Gómez, A., Hernández, J., Reyes, M. R., & Lindenberg, C. S. (2017) · Hispanic Health Care International · doi:10.1177/1540415317696201 · Cited by 1
Review of tobacco control services
Casswell, S., Wall, M., Lin, J., & Adams, J. (2014) · Cited by 1
Using text messages to support recovering substance misusers
McClelland, G. T., Duffy, P., & Davda, P. (2018) · British Journal of Healthcare Management · doi:10.12968/bjhc.2018.24.9.440 · Cited by 1
Practical Methods for Imputing Follower Count Dynamics
Gibson, C. B., Sutton, J. N., Vos, S. C., & Butts, C. T. (2020) · Sociological Methods & Research · doi:10.1177/0049124120926210 · Cited by 1
Rojnawee, S. (2019) · Journal of Nursing Science Chulalongkorn University · doi:10.58837/chula.cuns.31.1.1 · Cited by 1
BMJ Publishing Group Ltd and RCN Publishing Company Ltd (2005) · Evidence-Based Nursing · doi:10.1136/ebn.8.4.105 · Cited by 1
Management of Cloud systems applied to eHealth
Vilaplana, J. (2015) · TDX (Tesis Doctorals en Xarxa) · Cited by 1
Chatbots for Smoking Cessation: Scoping Review (Preprint)Preprint
Whittaker, R., Dobson, R., & Garner, K. (2021) · doi:10.2196/preprints.35556 · Cited by 1
Michie, S., Free, C., & West, R. (2013) · PsycEXTRA Dataset · doi:10.1037/e575872013-001 · Cited by 1
Nudging Towards Better Earnings ForecastsPreprint
Brown, L. D., Khavis, J. A., & Park, H. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4202792 · Cited by 1
Vaziri, F., Eidi, M., Maybodi, F. R., Dehkordi, N. R., & Khoddami, N. (2025) · Journal of Education and Health Promotion · doi:10.4103/jehp.jehp_1408_24
“[15] In addition to introducing new behaviors, the health education program reinforces and maintains good behavior.”
On the Selection of Just-in-time Interventions
Jaimes, L. G. (2015) · Digital Commons - University of South Florida (University of South Florida)
Tobacco Treatment in College Health
Brown, J. (2012) · UKnowledge (University of Kentucky)
Navigation in internet-based personal healthcare records: for consumers who think
Fry, B., & Warren, J. (2007)
Exploring the effects of a texting program in reducing tobacco consumption
Luxenberg, H. (2013) · University of Minnesota Digital Conservancy (University of Minnesota)
Anang, C., Camara, S., Cornejo, P., Farcello, C. A., Garcia, I. A., Magnuson, N., McCurdy, W., Muñoz, L., Myroshnychenko, M., Ríos, R., et al. (2011) · Digital Scholarship - UNLV (University of Nevada Reno)
Community resources for smoking cessation
Jennings, E., Pekmezi, D., Marcus-Blank, B., & Marcus, B. H. (2008) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-008-0080-6
Johnston, W., Lederhausen, A., & Duncan, J. M. (2013) · Translational Behavioral Medicine · doi:10.1007/s13142-013-0217-0
Ask the expert: Smoking cessation
Prignot, J. J. (2009) · Breathe · doi:10.1183/18106838.0601.057
Buddy: a digital mental wellbeing service
Treanor, A., Harris, K., Abrar, A., & Carson, J. (2011) · British Journal of Wellbeing · doi:10.12968/bjow.2011.2.7.10
New information and communication technologies to communicate with patients: text messaging
Nagberi, A. E. (2008) · Summit (Simon Fraser University)
Text4baby:DevelopmentandImplementationofaNational TextMessagingHealthInformationService
Whittaker, R., Matoff-Stepp, S., Meehan, J., Kendrick, J. S., Jordan, E. T., Stange, P. V., Meyer, P. H., Baitty, J., Ratzan, S. C., & Rhee, K. B. L. (2012)
A Mobile Application for Improving Health Attitudes: Being Social Matters Abstract
Gonzales, A. L., Johnson, R., & Pollak, J. (2011)
Additional Literature Cited: Individual Text Message Intervention Studies in Table 2
Aj, W., & Kimball, A. B. (2015)
Recruiter Stress: An Experiment Using Text-messages as a Stress Intervention
Uriell, Z. A., & Clewis, E. M. (2013) · doi:10.21236/ada579196
Pounds Off Digitally (POD): an examination of the use of podcasting to promote weight loss
Turner‐McGrievy, G. M. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/pkzt-hn20
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Arps, E. R. (2015) · UC Research Repository (University of Canterbury) · doi:10.26021/4136
Ryan-Walsh, E. (2011) · ERA: Education and Research Archive (University of Alberta) · doi:10.7939/r3db7vs86
Drozd, F. (2007) · NORA - Norwegian Open Research Archives
O MODELO HAPA COMO PREDITOR DO USO DO FIO DENTÁRIO
Psicologia, F. D. (2014)
Mobile Technology and Health Literacy Regarding Medication Information
Wali, H. (2015) · UWSpace (University of Waterloo)
Monkman, H., Kushniruk, A. W., & Borycki, E. M. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-1928-7.ch008
ATEITIES MEDICINOS KRYPTYS: TELENEFROLOGIJA
Grigutis, M., Januškevičius, T., Rimševičius, L., & Miglinas, M. (2015) · Medicinos teorija ir praktika · doi:10.15591/mtp.2015.104
Tratamientos psicológicos basados en la evidencia y las tecnologías de la información y comunicación
Arbona, C. B., Serrano, B., & Guillén, V. (2016) · Dialnet (Universidad de la Rioja) · doi:10.1016/b978-84-9022-681-0.00024-3
Identifying and Reducing Risk of the Female Athlete Triad in Division I Athletes
Day, J. (2021) · Digital Commons - USU (Utah State University) · doi:10.26076/5fb8-fbe2
Enhancing Memory for Therapy in Depression: A Text Messaging Intervention
Satish, A. (2014) · Berkeley Undergraduate Journal · doi:10.5070/b3263024760
EFFECT OF DISCUSSING FRAMINGHAM RISK SCORE ON SMOKE CESSATION: PILOT RANDOMIZED CLINICAL TRIAL
IJAR, Jamal, A. A., Alrajhi, A., Aldubaib, A. A., Alsuwailem, A., Alzuhairi, R., & Alonazy., A. (2016) · International Journal of Advanced Research · doi:10.21474/ijar01/2695
USO DE MENSAGENS DE CELULAR PARA CESSAÇÃO DO TABAGISMO: REVISÃO SISTEMÁTICA
Ervilha, R. R., de Andrade, B. A. B. B., Gomide, H. P., Machado, N. M., Formagini, T. D. B., & Ronzani, T. M. (2017) · Psicologia em Estudo · doi:10.4025/psicolestud.v22i2.33160
Ahrari, S. (2017) · TSpace (University of Toronto)
The Use of Mobile Phones in K-12 Education
Bedesem, P. L., & Harmon, A. (2015) · IGI Global eBooks · doi:10.4018/978-1-4666-8239-9.ch048
A Control-Based Modeling Approach for Simulating Reaction to Stress Interventions
Calderón, J. M., & Jaimes, L. G. (2018) · Springer eBooks · doi:10.1007/978-3-319-75683-7_21
Research report: a software solution for rapid policy assessment with reimbursed SMS and mobile cash
Schutte, S., & Haer, R. (2018) · International Journal of Social Research Methodology · doi:10.1080/13645579.2018.1471372
Luo, R., Zhou, H., Zhang, L., Alexis Medina, D., Li, H., Lien, J. W., Cai, J., & National Health and Family Planning Commission (2018) · doi:10.23846/pw2ie81
mHealth in the Pacific Rim: Leadership Through Technology-Based Interventions
McCool, J. P., Dobson, R., Umali, E., Cameron, L. D., & Whittaker, R. (2018) · Springer eBooks · doi:10.1007/978-3-319-95633-6_13
Bosio, B., & Prunthaller, S. (2018) · DOAJ (DOAJ: Directory of Open Access Journals)
Esakia, A. (2018) · VTechWorks (Virginia Tech)
Mathur, J. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/09re-dm81
Rodríguez, I. M., Mendivelso, F., Buitrago, A., Guzmán, C. A., Carrillo, L. J. P., & Garzón, J. A. (2019) · Revista Médica Sanitas · doi:10.26852/01234250.36
Working as a Public Health Informatician
Day, K., Whittaker, R., Bennett, V., Selak, V., & Stokes, B. (2021) · Health informatics · doi:10.1007/978-3-030-81850-0_24
Introduction and Overview: Intergenerational Mobility in the Modern Era
Kimmel, J. (2022) · Upjohn Research (W.E. Upjohn Institute for Employment Research) · doi:10.17848/978088099.ch1
A Comparison of U.S. Parents’ Time with Children by Child Gender and Family Structure
Connelly, R. (2022) · Upjohn Research (W.E. Upjohn Institute for Employment Research) · doi:10.17848/978088099.ch2 · Cited by 1
Behavioral Insights, Parental Decision Making, and Investments in Children’s Development
Kalil, A., & Mayer, S. E. (2022) · Upjohn Research (W.E. Upjohn Institute for Employment Research) · doi:10.17848/978088099.ch3
Sánchez, A., & de la Serrana, H. L. G. (2018) · doi:10.2196/preprints.11426
Bank, W. (2006) · World Bank, Washington, DC eBooks · doi:10.1596/978-0-8213-6541-0_bm
Bamberger, K., Schmidt, M., Gollnick, F., & Gro�, D. (2017) · doi:10.2196/preprints.9700
Metadata
- Authors
- Rodgers, A., Corbett, T., Bramley, D., Riddell, T., Wills, M., Lin, R.-B., & Jones, M.
- Affiliations
- University of Auckland (NZ)
- Corresponding author
- Rodgers, A
- ORCID
- Venue
- Tobacco Control
- Publisher
- BMJ
- Published
- 2005-07-26
- Volume
- 14
- Issue
- 4
- Pages
- 255-261
- ISSN
- 0964-4563 (ISSN-L)
- 1468-3318
- PMC
- PMC1748056
- OpenAlex
- W2106444270
- Cited by
- 732
- References
- 16
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 19 · 2023: 18 · 2022: 19 · 2021: 26 · 2020: 27 · 2019: 55 · 2018: 43 · 2017: 42 · 2016: 44 · 2015: 61 · 2014: 49 · 2013: 64 · 2012: 64
- FWCI
- 13.78
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Tobacco Control (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Cancer Society of New Zealand
- National Heart Foundation of New Zealand
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- smoking cessation, text messaging, text messaging intervention, smoking cessation counseling, young smokers, quit rates
- MeSH terms
- Smoking Prevention, Adolescent, Adult, Female, Follow-Up Studies, Health Education, Humans, Income, Male, Confidence Intervals, Smoking Cessation, Treatment Outcome, Patient Selection, Cell Phone
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 ›
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