Factors Associated with Smoking Cessation and Risk of Smoking Initiation in Bulgarian Youth

The goal of this project was to explore the factors associated with smoking behavior among Bulgarian adolescents. A sample recruited from 12 high schools in Bulgaria (N = 673, mean age = 16.52, 65% female), was used for the analyses in this paper. A series of logistic regressions were performed to explore the factors associated with smoking cessation and increased risk of smoking initiation. Based on self-reported smoking status participants completed different sets of questionnaires and were included in separate models exploring smoking cessation and increased risk of smoking initiation. Variables consistently associated with smoking like stress, coping strategies, peer influence, family influence, exposure to tobacco related marketing were included as predictor variables in both models. In addition each of the two models included the relevant constructs of decisional balance and temptations from the Transtheoretical Model (TTM). The final logistic model differentiating smokers/ex-smokers included age, parental smoking status, Temptation to smoke, and support for smoking bans in public places as variables, correctly classifying 82.3% of the sample. The final model among nonsmokers differentiating higher risk/lower risk of smoking initiation included the strength of the belief that smoking is harmful, Temptations to try smoking, Pros of being smoke-free, and support for smoking bans in public places, correctly classifying 72.7% of the sample. These results provide better understanding of the factors associated with smoking behavior in Bulgarian adolescents that can guide the development of smoking cessation and prevention programs for this population

One session of TTM-tailored condom use feedback: a pilot study among at-risk women in the Bronx

There is an urgent need to implement interventions to curb the spread of sexually transmitted infections (STIs), especially HIV. Consistent condom use is an effective preventive strategy, yet especially among those at highest risk, condom use remains too low. This paper describes changes in condom use and stages of condom use over two–three months time following a single session with an interactive multimedia computer-delivered Transtheoretical Model (TTM)-tailored expert system originally designed for at-risk adolescents. The intervention provided immediate TTM-tailored feedback to diverse urban women based on their stage of condom use and other TTM variables. Previous work found this system was acceptable. These data showed that 89% of women returned for a second session two–three months later, further supporting this system\u27s utility. After just one feedback session, 21% of women not using condoms at baseline started using condoms consistently at follow-up, with a trend for a relationship to baseline stage of condom use. These results support further randomized controlled research on the reach and efficacy of computer-based TTM-tailored and individualized condom use interventions

Increasing Engagement in Advance Care Planning Using a Behaviour Change Model: Study Protocol for the STAMP Randomised Controlled Trials

Introduction Advance care planning (ACP) is a key component of high-quality end-of-life care but is underused. Interventions based on models of behaviour change may fill an important gap in available programmes to increase ACP engagement. Such interventions are designed for broad outreach and flexibility in delivery. The purpose of the Sharing and Talking about My Preferences study is to examine the efficacy of three behaviour change approaches to increasing ACP engagement through two related randomised controlled trials being conducted in different settings (Veterans Affairs (VA) medical centre and community). Methods and analysis Eligible participants are 55 years or older. Participants in the community are being recruited in person in primary care and specialty outpatient practices and senior living sites, and participants in the VA are recruited by telephone. In the community, randomisation is at the level of the practice or site, with all persons at a given practice/ site receiving either computer-tailored feedback with a behaviour stage-matched brochure (computer-tailored intervention (CTI)) or usual care. At the VA, randomisation is at the level of the participant and is stratified by the number of ACP behaviours completed at baseline. Participants are randomised to one of four groups: CTI, motivational interviewing, motivational enhancement therapy or usual care. The primary outcome is completion of four key ACP behaviours: identification of a surrogate decision maker, communication about goals, completing advance directives and ensuring documents are in the medical record. Analysis will be conducted using mixed effects models, taking into account the clustered randomisation for the community study. Ethics and randomisation The studies have been approved by the appropriate Institutional Review Boards and are being overseen by a Safety Monitoring Committee. The results of these studies will be disseminated to academic audiences and leadership in in the community and VA sites. Trial registration numbers NCT03137459 and NCT03103828

Baseline transtheoretical and dietary behavioral predictors of dietary fat moderation over 12 and 24 months

Longitudinal predictors of dietary behavior change are important and in need of study. This secondary data analysis combined primary data across three randomized trials to examine transtheoretical model (TTM) and specific dietary predictors of successful dietary change at 12 and 24 months separately in treatment and control groups (N = 4178). The treatment group received three TTM-tailored print interventions over 12 months between 1995 and 2000. Chi-square and MANOVA analyses were used to examine baseline predictors of dietary outcome at 12 and 24 months. Last, a multivariable logistic regression was conducted with all baseline variables included. Across all analyses in both treatment and control groups, the most robust predictors of successful change were for TTM-tailored treatment group, preparation stage of change, and increased use of dietary behavior variables such as moderating fat intake, substitution of lower fat foods, and increasing intake of healthful foods. These results provide strong evidence for treatment, stage and behavioral dietary severity effects predicting dietary behavior change over time, and for targeting these variables with the strongest relationships to outcome in interventions, such as TTM-tailored dietary interventions

Common Factors Predicting Long-term Changes in Multiple Health Behaviors

This study was designed to assess if there are consistent treatment, stage, severity, effort and demographic effects which predict long-term changes across the multiple behaviors of smoking, diet and sun exposure. A secondary data analysis integrated data from four studies on smoking cessation (N = 3927), three studies on diet (N = 4824) and four studies on sun exposure (N = 6465). Across all three behaviors, behavior change at 24 months was related to treatment, stage of change, problem severity and effort effects measured at baseline. There were no consistent demographic effects. Across multiple behaviors, long-term behavior changes are consistently related to four effects that are dynamic and open to change. Behavior changes were not consistently related to static demographic variables. Future intervention research can target the four effects to determine if breakthroughs can be produced in changing single and multiple behaviors

Tailored intervention to increase dual-contraceptive method use: a randomized trial to reduce unintended pregnancies and sexually transmitted infections

Objective: The objective of the study was to determine whether a transtheoretical model–tailored expert system intervention increases dual-method contraceptive use, compared with a nontailored educational intervention. Study Design: We performed a randomized clinical trial of 542 women at high risk for sexually transmitted infections (STIs) and unintended pregnancy. The intervention group received computer-based tailored feedback using a multimedia program. The control group received general contraceptive information and nontailored advice. Results: Participants in the intervention group were more likely to report use of dual contraceptive methods during follow-up (adjusted hazard rate ratio 1.70, 95% confidence interval 1.09, 2.66), compared with controls. However, there were no differences in the rates of incident STI or unintended pregnancy between the 2 groups. Conclusions: The computer-based transtheoretical model–tailored intervention resulted in a 70% increase in reported dual-method contraceptive use in a group of women at high risk for STIs and unintended pregnancy. Inconsistent use of dual methods may explain the lack of effect on unintended pregnancy rates and incident STIs

Developing and assessing the feasibility of a home-based preexposure prophylaxis monitoring and support program

We piloted PrEP@Home, a preexposure prophylaxis system of remote laboratory and behavioral monitoring designed to replace routine quarterly follow-up visits with home care to reduce the patient and provider burden. The system was highly acceptable and in-demand for future use, and more than one-third of participants reported greater likelihood of persisting in care if available

Baseline Stage, Severity, and Effort Effects Differentiate Stable Smokers from Maintainers and Relapsers

This cross-sectional study (N = 4,144) compared three longitudinal dynatypes (Maintainers, Relapsers, and Stable Smokers) of smokers on baseline demographics, stage, addiction severity, and transtheoretical model effort effect variables. There were significant small-to-medium-sized differences between the Stable Smokers and the other two groups on stage, severity, and effort effect variables in both treatment and control groups. There were few significant, very small differences on baseline effort variables between Maintainers and Relapsers in the control, but not the treatment group. The ability to identify Stable Smokers at baseline could permit enhanced tailored treatments that could improve population cessation rates

Reducing Sun Exposure for Prevention of Skin Cancers: Factorial Invariance and Reliability of the Self-Efficacy Scale for Sun Protection

The Self-Efficacy Scale for Sun Protection consists of two correlated factors with three items each for Sunscreen Use and Avoidance. This study evaluated two crucial psychometric assumptions, factorial invariance and scale reliability, with a sample of adults ( = 1356) participating in a computer-tailored, population-based intervention study. A measure has factorial invariance when the model is the same across subgroups. Three levels of invariance were tested, from least to most restrictive: (1) Configural Invariance (nonzero factor loadings unconstrained); (2) Pattern Identity Invariance (equal factor loadings); and (3) Strong Factorial Invariance (equal factor loadings and measurement errors). Strong Factorial Invariance was a good fit for the model across seven grouping variables: age, education, ethnicity, gender, race, skin tone, and Stage of Change for Sun Protection. Internal consistency coefficient Alpha and factor rho scale reliability, respectively, were .84 and .86 for Sunscreen Use, .68 and .70 for Avoidance, and .78 and .78 for the global (total) scale. The psychometric evidence demonstrates strong empirical support that the scale is consistent, has internal validity, and can be used to assess population-based adult samples

Long-Term Administration of Conjugated Estrogen and Bazedoxifene Decreased Murine Fecal β-Glucuronidase Activity Without Impacting Overall Microbiome Community

AbstractConjugated estrogens (CE) and Bazedoxifene (BZA) combination is used to alleviate menopause-associated symptoms in women. CE+BZA undergo first-pass-metabolism in the liver and deconjugation by gut microbiome via β-glucuronidase (GUS) enzyme inside the distal gut. To date, the impact of long-term exposure to CE+BZA on the gut microbiome or GUS activity has not been examined. Our study using an ovariectomized mouse model showed that CE+BZA administration did not affect the overall cecal or fecal microbiome community except that it decreased the abundance of Akkermansia, which was identified as a fecal biomarker correlated with weight gain. The fecal GUS activity was reduced significantly and was positively correlated with the abundance of Lactobacillaceae in the fecal microbiome. We further confirmed in Escherichia coli K12 and Lactobacillus gasseri ADH that Tamoxifen-, 4-hydroxy-Tamoxifen- and Estradiol-Glucuronides competed for GUS activity. Our study for the first time demonstrated that long-term estrogen supplementation directly modulated gut microbial GUS activity. Our findings implicate that long-term estrogen supplementation impacts composition of gut microbiota and microbial activity, which affects estrogen metabolism in the gut. Thus, it is possible to manipulate such activity to improve the efficacy and safety of long-term administered estrogens for postmenopausal women or breast cancer patients.</jats:p