Are smokers with HIV using information and communication technology? Implications for behavioral interventions.

Johns Hopkins Medical Institutions, Johns Hopkins University, Baltimore, MD 21287, USA.
AIDS and Behavior (Impact Factor: 3.49). 03/2011; 16(2):383-8. DOI: 10.1007/s10461-011-9914-1
Source: PubMed

ABSTRACT Smoking is highly prevalent among persons living with HIV/AIDS (PLWHA) and associated with adverse outcomes including malignancy and cardiovascular disease. Information and communication technology (ICT) may be effective in disseminating cessation interventions among PLWHA. This study examines the prevalence of ICT use among 492 PLWHA attending an urban clinic and characteristics associated with ICT use. Participants completed a survey of demographics, smoking status, and ICT use. Factors associated with ICT use were examined with logistic regression. Overall, 63% of participants smoked with 73% of smokers owning their own cell phone. Use of other modalities was lower, with 48% of smokers reporting any internet use, 39% text messaging, and 31% using email. Higher education was associated with the use of all modalities. Cell phone interventions may have the broadest reach among PLWHA, though with almost half using the internet, this may also be a low-cost means of delivering cessation interventions.

  • [Show abstract] [Hide abstract]
    ABSTRACT: Background and Objectives Among HIV-positive populations, the prevalence of cigarette smoking remains disproportionately high and is associated with significant morbidity and mortality. Little is known about this topic among HIV-positive persons in the general population.Methods Data came from the 2005 to 2011 National Survey on Drug Use and Health (NSDUH) public use data files. Unadjusted and adjusted multinomial logistic regression analyses explored the associations between socio-demographic, drug and alcohol use, and drug and/or alcohol treatment characteristics with smoking status among HIV-positive individuals (n = 349).ResultsMore than 40% of the sample was current smokers. In adjusted analyses, females (aRRR = .11, 95% CI = .03–.41) and participants who had never been married (aRRR = .19, 95% CI = .05–.58), were more likely to be former smokers than never smokers. Females (aRRR = .37, 95% CI = .14–.96) and individuals older than age 35 (aRRR = .37, 95% CI = .16–.89) were less likely to be current smokers than never smokers. Conversely, previously married persons (aRRR = 5.72, 95% CI = 1.40–23.31), participants reporting binge drinking (aRRR = 5.96, 95% CI = 2.27–15.64), and lifetime drug or alcohol treatment (aRRR = 5.12, 95% CI = 2.09–12.55) were more likely to be current smokers than never smokers.Conclusions Findings help confirm the high prevalence of smoking among HIV-positive persons suggesting the need for integrated substance use and smoking cessation treatment among HIV-positives.Scientific SignificanceThe present findings have implications for the development and implementation of targeted smoking cessation programs for HIV-positive smokers. (Am J Addict 2014;XX:XX–XX)
    American Journal on Addictions 07/2014; 23(6). DOI:10.1111/j.1521-0391.2014.12145.x · 1.74 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Technology-based interventions offer an opportunity to address high-risk behaviors in the emergency department (ED). Prior studies suggest behavioral health strategies are more effective when gender differences are considered. However, the role of gender in ED patient preferences for technology-based interventions has not been examined. The objective was to assess whether patient preferences for technology-based interventions varies by gender.
    The western journal of emergency medicine 08/2014; 15(5):593-9. DOI:10.5811/westjem.2014.4.21448
    This article is viewable in ResearchGate's enriched format
  • [Show abstract] [Hide abstract]
    ABSTRACT: To evaluate the feasibility and preliminary efficacy of a Web-based tobacco treatment for persons living with HIV (PLWH).
    JAIDS Journal of Acquired Immune Deficiency Syndromes 09/2014; 67(1):59-66. DOI:10.1097/QAI.0000000000000226 · 4.39 Impact Factor

Full-text (2 Sources)

Available from
May 23, 2014