Background: Both mHealth and eHealth interventions for smoking cessation are rapidly being developed and tested. There are no data on use of mHealth and eHealth technologies by smokers in general or by smokers who are not motivated to quit smoking.
Objective: The aims of our study were to (1) assess technology use (eg, texting, social media, Internet) among smokers in the United States and United Kingdom, (2) examine whether technology use differs between smokers who are motivated to quit and smokers who are not motivated to quit, (3) examine previous use of technology to assist with smoking cessation, and (4) examine future intentions to use technology to assist with smoking cessation.
Methods: Participants were 1000 adult smokers (54.90%, 549/1000 female; mean age 43.9, SD 15.5 years; US: n=500, UK: n=500) who were recruited via online representative sampling strategies. Data were collected online and included demographics, smoking history, and frequency and patterns of technology use.
Results: Among smokers in general, there was a high prevalence of mobile and smartphone ownership, sending and receiving texts, downloading and using apps, using Facebook, and visiting health-related websites. Smokers who were unmotivated to quit were significantly less likely to own a smartphone or handheld device that connects to the Internet than smokers motivated to quit. There was a significantly lower prevalence of sending text messages among US smokers unmotivated to quit (78.2%, 179/229) versus smokers motivated to quit (95.0%, 229/241), but no significant differences between the UK groups (motivated: 96.4%, 239/248; unmotivated: 94.9%, 223/235). Smokers unmotivated to quit in both countries were significantly less likely to use a handheld device to read email, play games, browse the Web, or visit health-related websites versus smokers motivated to quit. US smokers had a high prevalence of app downloads regardless of motivation to quit, but UK smokers who were motivated to quit had greater prevalence of app downloads than smokers unmotivated to quit. US smokers were significantly more likely to have a Facebook account (87.0%, 435/500) than UK smokers (76.4%, 382/500), but smokers unmotivated to quit in both countries used Facebook less frequently than smokers motivated to quit. Smokers who were unmotivated to quit were less likely to have used eHealth or mHealth platforms to help them quit smoking in the past and less likely to say that they would use them for smoking cessation in the future.
Conclusions: Although smokers unmotivated to quit make less use of technology than smokers motivated to quit, there is sufficient prevalence to make it worthwhile to develop eHealth and mHealth interventions to encourage cessation. Short and low-effort communications, such as text messaging, might be better for smokers who are less motivated to quit. Multiple channels may be required to reach unmotivated smokers.
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http://dx.doi.org/10.2196/jmir.4420 | DOI Listing |
J Clin Med
January 2025
Third Department of Obstetrics and Gynaecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54642 Thessaloniki, Greece.
Smoking has adverse effects on both maternal and fetal health and its incidence varies among different countries. The aim of this study was to identify the prevalence of smoking during pregnancy and to identify factors associated with smoking. This was a retrospective study conducted at the Third Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Greece, during an 11-year period (2013-2023).
View Article and Find Full Text PDFBMJ Open
January 2025
Health Economics and Epidemiology Research Office, Wits Health Consortium, University of the Witwatersrand Johannesburg Faculty of Health Sciences, Johannesburg, South Africa.
Objective: To study the behavioural factors associated with sustained cigarette smoking cessation, and those associated with a current smoker attempting to quit, among current and former cigarette smokers living in low-income South African communities.
Setting: Three low-income areas in South Africa.
Design: In-person surveys with structured questions that asked respondents about their cigarette smoking and quitting behaviour, sociodemographic information and behavioural attributes.
Front Public Health
January 2025
Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Introduction: Smoking causes lung cancer and a wide range of acute and chronic diseases annually throughout the world. A fourth-generation behavioral framework, namely the Multi-Theory Model (MTM) of health behavior change was used to predict the initiation and maintenance of smoking cessation among health worker smokers.
Methods: A cross-sectional study of 170 smoking healthcare workers was conducted in Kabul.
Can J Psychiatry
January 2025
Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Objective: Tobacco smoking is the leading cause of preventable death among individuals with serious mental illness (SMI) but few persons with SMI are offered smoking cessation treatment. The purpose of this study was to pilot-test a multicomponent intervention to increase the delivery of evidence-based smoking cessation treatment in community mental health clinics (CMHCs).
Method: This study was carried out at five CMHCs in Maryland involving clinicians who participated in training in smoking cessation.
Objective: Vaccination is the most effective strategy for preventing infectious diseases, yet it is underused in young adults. College students are important targets for the influenza vaccine given this population's low vaccination rates; however, limited research has focused on international college students' vaccination status. This study examined the relationships between the theory of planned behaviour (TPB; attitudes, perceived behavioural control (PBC) and subjective norms) and students' intention of receiving an influenza vaccine.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!