Literature DB >> 27154349

Participant-level meta-analysis of mobile phone-based interventions for smoking cessation across different countries.

Michele L Ybarra1, Yannan Jiang2, Caroline Free3, Lorien C Abroms4, Robyn Whittaker5.   

Abstract

With meta-analysis, participant-level data from five text messaging-based smoking cessation intervention studies were pooled to investigate cessation patterns across studies and participants. Individual participant data (N=8315) collected in New Zealand (2001-2003; n=1705), U.K. (2008-2009; n=5792), U.S. (2012; n=503; n=164) and Turkey (2012; n=151) were collectively analyzed in 2014. The primary outcome was self-reported 7-day continuous abstinence at 4weeks post-quit day. Secondary outcomes were: (1) self-reported 7-day continuous abstinence at 3months and (2) self-reported continuous abstinence at 6months post-quit day. Generalized linear mixed models were fit to estimate the overall treatment effect, while accounting for clustering within individual studies. Estimates were adjusted for age, sex, socioeconomic status, previous quit attempts, and baseline Fagerstrom score. Analyses were intention to treat. Participants lost to follow-up were treated as smokers. Twenty-nine percent of intervention participants and 12% of control participants quit smoking at 4weeks (adjusted odds ratio [aOR]=2.89, 95% CI [2.57, 3.26], p<.0001). An attenuated but significant effect for cessation for those in the intervention versus control groups was observed at 3months (aOR=1.88, 95% CI [1.53, 2.31]) and 6months (aOR=2.24, 95% CI [1.90, 2.64]). Subgroup analyses were conducted but few significant findings were noted. Text messaging-based smoking cessation programs increase self-reported quitting rates across a diversity of countries and cultures. Efforts to expand these low-cost and scalable programs, along with ongoing evaluation, appear warranted.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Integrative data analysis; Multinational; Smoking cessation; mHealth

Mesh:

Year:  2016        PMID: 27154349      PMCID: PMC4969103          DOI: 10.1016/j.ypmed.2016.05.002

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  39 in total

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Authors: 
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4.  Comparing tailored and untailored text messages for smoking cessation: a randomized controlled trial among adolescent and young adult smokers.

Authors:  L S Skov-Ettrup; L W Ringgaard; P Dalum; T Flensborg-Madsen; L C Thygesen; J S Tolstrup
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5.  Randomized trial of a smartphone mobile application compared to text messaging to support smoking cessation.

Authors:  David B Buller; Ron Borland; Erwin P Bettinghaus; James H Shane; Donald E Zimmerman
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6.  Use of mobile phone text messaging to deliver an individualized smoking behaviour intervention in Chinese adolescents.

Authors:  Hui-Jing Shi; Xiao-Xiao Jiang; Chun-Yan Yu; Yue Zhang
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Review 8.  Mobile phone-based interventions for smoking cessation.

Authors:  Robyn Whittaker; Ron Borland; Chris Bullen; Ruey B Lin; Hayden McRobbie; Anthony Rodgers
Journal:  Cochrane Database Syst Rev       Date:  2009-10-07

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  14 in total

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3.  A Randomized Trial of Text Messaging for Smoking Cessation in Pregnant Women.

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4.  Smoking-Cessation Interventions for U.S. Young Adults: Updated Systematic Review.

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5.  Perceptions About Mindfulness and Text Messaging for Smoking Cessation in Vietnam: Results From a Qualitative Study.

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6.  Mass media promotion of a smartphone smoking cessation app: modelled health and cost-saving impacts.

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7.  An mHealth Intervention for Pregnancy Prevention for LGB Teens: An RCT.

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9.  Predictors of Retention in an Adult Text Messaging Smoking Cessation Intervention Program: Cohort Study.

Authors:  Kara P Wiseman; Kisha I Coa; Yvonne M Prutzman
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10.  "Stages of change, smoking behavior and acceptability of a textmessaging intervention for tobacco cessation among cigarette, dokha and shishasmokers: A qualitative research study."

Authors:  Yusra Elhidaia Elobaid; Andrea Leinberger Jabari; Aisha Al Hamiz; Abdul Rizzak Al Kaddour; Sherif Bakir; Heba Barazi; Elisa Kazim; Scott Sherman; Raghib Ali
Journal:  BMJ Open       Date:  2019-09-08       Impact factor: 2.692

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