Women helping chewers: Effects of partner support on 12-month tobacco abstinence in a smokeless tobacco cessation trial.
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ABSTRACT:
SUBMITTER: Danaher BG
PROVIDER: S-EPMC2666371 | biostudies-other | 2009 Mar
REPOSITORIES: biostudies-other
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Women helping chewers: Effects of partner support on 12-month tobacco abstinence in a smokeless tobacco cessation trial.
Danaher Brian G BG Lichtenstein Edward E Andrews Judy A JA Severson Herbert H HH Akers Laura L Barckley Maureen M
Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco 20090305 3
<h4>Introduction</h4>Social support has been relatively unstudied in smokeless tobacco cessation research; partner support could encourage quitting, buffer the stress of quitting and withdrawal, and counteract tobacco cues.<h4>Methods</h4>Using 12-month follow-up data, we examined the impact of social support provided by female partners (n = 328) of male participants in a smokeless tobacco cessation program.<h4>Results</h4>The ratio of positive support to negative support that participants repor ...[more]
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Project description:IntroductionPartner behaviors and attitudes can motivate or undermine a tobacco user's cessation efforts. We developed a multimedia intervention, UCare (Understanding-CAring-REspect) for women who wanted their male partner to quit smokeless tobacco (ST), based on perceived partner responsiveness-the empirically based theory that support is best received when the supporter conveys respect, understanding, and caring.MethodsOne thousand one hundred three women were randomized to receive either immediate access to the UCare website and printed booklet (Intervention; N = 552), or a Delayed Treatment control (N = 551). We assessed supportive behaviors and attitudes at baseline and 6-week follow-up, and the ST-using partner's abstinence at 6 weeks and 7.5 months (surrogate report).ResultsFor partners of women assigned to Intervention, 7.0% had quit all tobacco at 7.5 months, compared with 6.6% for control (χ2 (1, n = 1088) = .058, p = .810). For partners of women completing the intervention, 12.4% had quit all tobacco at 7.5 months, compared with 6.6% for Delayed Treatment (χ2 (1, n = 753) = 6.775, p = .009). A previously reported change in responsiveness-based behaviors and instrumental behaviors at 6 weeks mediated 7.5-month cessation, and change in responsiveness-based attitudes mediated the change in responsiveness-based behaviors, indirectly increasing cessation.ConclusionsA responsiveness-based intervention with female partners of male ST users improved supportive attitudes and behaviors, leading to higher cessation rates among tobacco users not actively seeking to quit. The study demonstrates the potential for responsiveness as a basis for effective intervention with supporters. This approach may reach tobacco users who would not directly seek help.ImplicationsThis study demonstrates the value of a responsiveness-based intervention (showing respect, understanding, and caring) in training partners to provide support for a loved one to quit ST. In a randomized clinical trial, 1,103 women married to or living with a ST user were randomized to receive the UCare-ChewFree intervention (website + booklet) or a Delayed Treatment control. Women completing the intervention were more likely to improve their behaviors and attitudes, and change in behaviors and attitudes mediated cessation outcomes for their partners, who had not enrolled in the study and may not have been seeking to quit.Trial registrationClinicalTrials.gov NCT01885221.
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Project description:Developing the means to identify smokers at high risk for relapse could advance relapse prevention therapy. We hypothesized that functional magnetic resonance imaging (fMRI) reactivity to smoking-related cues, measured before a quit attempt, could identify smokers with heightened relapse vulnerability.Before quitting smoking, 21 nicotine-dependent women underwent fMRI during which smoking-related and neutral images were shown. These smokers also were tested for possible attentional biases to smoking-related words using a computerized emotional Stroop (ES) task previously found to predict relapse. Smokers then made a quit attempt and were grouped based on outcomes (abstinence vs. slip: smoking > or = 1 cigarette after attaining abstinence). Prequit fMRI and ES measurements in these groups were compared.Slip subjects had heightened fMRI reactivity to smoking-related images in brain regions implicated in emotion, interoceptive awareness, and motor planning and execution. Insula and dorsal anterior cingulate cortex (dACC) reactivity induced by smoking images correlated with an attentional bias to smoking-related words. A discriminant analysis of ES and fMRI data predicted outcomes with 79% accuracy. Additionally, smokers who slipped had decreased fMRI functional connectivity between an insula-containing network and brain regions involved in cognitive control, including the dACC and dorsal lateral prefrontal cortex, possibly reflecting reduced top-down control of cue-induced emotions.These findings suggest that the insula and dACC are important substrates of smoking relapse vulnerability. The data also suggest that relapse-vulnerable smokers can be identified before quit attempts, which could enable personalized treatment, improve tobacco-dependence treatment outcomes, and reduce smoking-related morbidity and mortality.
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Project description:Smokeless tobacco products (STP) contain diverse microbial communities that contribute to the formation of harmful chemical byproducts. This is concerning since 300 million individuals around the globe are users of smokeless tobacco. Significant evidence has shown that microbial metabolic activities mediate the formation of carcinogens during manufacturing. In recent years, studies have revealed a series of additional health impacts that include lesions and inflammation of the oral mucosa and the gastrointestinal tract, as well as alterations of the endogenous microbiota. These findings are due to recent developments in molecular technologies that allowed researchers to better examine the microbial component of these products. This new information illustrates the scale of the STP microbiota and its diversity in the finished product that is sold for consumption. Additionally, the application of metagenomics and metatranscriptomics has provided the tools to look at phylogenies across bacterial, viral, and eukaryotic groups, their functional capacities, and viability. Here we present key examples of tobacco microbiology research that utilizes newer approaches and strategies to define the microbial component of smokeless tobacco products. We also highlight challenges in these approaches, the knowledge gaps being filled, and those gaps that warrant further study. A better understanding of the microbiology of STP brings vast public health benefits. It will provide important information for the product consumer, impact manufacturing practices, and provide support for the development of attainable and more meaningful regulatory goals. KEY POINTS: Newer technologies allowed quicker and more comprehensive identification of microbes in tobacco samples, encapsulating microorganisms difficult or impossible to culture. Current research in smokeless tobacco microbiology is filling knowledge gaps previously unfilled due to the lack of suitable approaches. The microbial ecology of smokeless tobacco presents a clearer picture of diversity and variability not considered before.
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