HIV patients' perceptions of a potential multi-component mindfulness-based smoking cessation smartphone application intervention.

OBJECTIVES: Cigarette smoking rates among people living with HIV (PLWH) in the US is triple that of the general population. PLWH smokers are a high-risk group for smoking-related health disparities and should be a prime focus for smoking cessation efforts. Our team has developed a novel evidence-based Mindfulness Training (MT) smoking cessation smartphone application (app), "Craving-to-Quit." Using qualitative focus groups among PLWH smokers, this study aims to tailor and optimize the app's content and design to PLWH's unique psychosocial profile and needs. METHODS: We conducted 8 focus groups among PLWH smokers (n = 59; 47.5% females; ≥18 years) to gain insight into participants' perceptions about the app, MT, and the feasibility and acceptability of adding two additional strategies (CM: Contingency Management; self-monitoring of anti-retroviral therapies intake [ART]) to further optimize the app. Participants were asked to practice MTs and watch videos from the app presented on a screen in the conference room to discuss their experience. Sessions were audio-taped, transcribed verbatim, and analyzed thematically using NVivo. RESULTS: Most participants were non-Hispanic black (67.8%), on a federal health insurance program (61.0%). Participants considered it easy to learn the app and thought that MT is helpful in reducing stress and motivating quit attempts and were supportive of adding CM and recommended providing $20-$50 weekly cash incentives to help in quitting. Participants felt that adding self-monitoring of ART is helpful but were concerned about confidentiality in case they lost their phone. Participants recommended making the app cost-free and adding information about smoking cessation medications and the negative effects of smoking among PLWH. CONCLUSIONS: Findings will guide the development of a novel multi-component smoking cessation intervention app integrating MT, CM, and ART self-monitoring strategies. This intervention has the potential to address several barriers to quitting in PLWH. Further clinical research is needed to test this intervention.

Does the Broaden-and-Build Theory Explain Reduction in Social Disruption After a Brief Relaxation Intervention for Women With Breast Cancer Undergoing Treatment?

Women with breast cancer experience social disruption during and after treatment. Brief cognitive-behavioral (CBT) and relaxation (RT) interventions may improve social disruption by increasing positive affect. Using the Broaden-and-Build Theory as a framework, this study examined whether short-term CBT- and RT-related increases in positive affect mediate long-term reductions in social disruption in women with breast cancer undergoing treatment (N = 183). This secondary analysis used latent change score and growth models to test 6- and 12-month intervention effects on positive affect and social disruption, respectively; a parallel-process model assessed mediation. RT demonstrated larger reductions in social disruption across 12 months compared to CBT and a health education control. Six-month latent change in positive affect was significant but not driven by condition. There was a significant direct effect linking the latent slopes of positive affect and social disruption but meditation was not observed. These preliminary findings hint at the value of promoting positive affect and inform the development of brief behavioral interventions that aim to augment social functioning among women surviving breast cancer.

Profiles and predictors of healthcare utilization: using a cluster-analytic approach to identify typical users across conventional, allied and complementary medicine, and self-care.

INTRODUCTION: The identification of typologies of health care users and their specific characteristics can be performed using cluster analysis. This statistical approach aggregates similar users based on their common health-related behavior. This study aims to examine health care utilization patterns using cluster analysis; and the associations of health care user types with sociodemographic, health-related and health-system related factors. METHODS: Cross-sectional data from the 2012 National Health Interview Survey were used. Health care utilization was measured by consultations with a variety of medical, allied and complementary health practitioners or the use of several interventions (exercise, diet, supplementation etc.) within the past 12 months (used vs. not used). A model-based clustering approach based on finite normal mixture modelling, and several indices of cluster fit were determined. Health care utilization within the cluster was analyzed descriptively, and independent predictors of belonging to the respective clusters were analyzed using logistic regression models including sociodemographic, health- and health insurance-related factors. RESULTS: Nine distinct health care user types were identified, ranging from nearly non-use of health care modalities to over-utilization of medical, allied and complementary health care. Several sociodemographic and health-related characteristics were predictive of belonging to the respective health care user types, including age, gender, health status, education, income, ethnicity, and health care coverage. CONCLUSIONS: Cluster analysis can be used to identify typical health care utilization patterns based on empirical data; and those typologies are related to a variety of sociodemographic and health-related characteristics. These findings on individual differences regarding health care access and utilization can inform future health care research and policy regarding how to improve accessibility of different medical approaches.

Reach versus effectiveness: The design and protocol of randomized clinical trial testing a smartphone application versus in-person mindfulness-based smoking cessation intervention among young cancer survivors.

Approximately 45% of young cancer survivors (18-40 years) are cigarette smokers. Continued smoking after cancer diagnosis leads to lower survival rates. A major logistical problem with smoking cessation efforts in this group is their geographic dispersion which makes them hard to reach. In addition, depression is a major predictor of smoking relapse and its rates are roughly twice as high in cancer survivors as the general population. Smartphone applications (apps) show promise in terms of efficacy, dissemination, and improving access to treatment. Mindfulness training (defined as maintaining attention on one's immediate experience and cultivating an attitude of acceptance toward this experience) is effective in improving smoking cessation outcomes by reducing psychological stress and controlling craving. Given that smartphone apps can address the issues of mobility and remote access, and mindfulness can address the high depression rate among cancer survivors, validating the feasibility and efficacy of a mindfulness-based smoking cessation intervention app in young cancer survivors is a high priority. Thus, the aims of the current study are: (1) test the feasibility, acceptability, and potential efficacy of the mindfulness-based smoking cessation app versus in-person mindfulness or usual care in a 3-arm pilot randomized clinical trial among young cancer survivors (n = 60; 18-40 years); and 2) conduct semi-structured exit interviews with participants in the two mindfulness groups to fine-tune the two active interventions based on feedback from participants. Findings will have implications for the development and dissemination of innovative and highly scalable tobacco cessation interventions designed for young cancer survivors.

Impact of Mindfulness Training on the Well-Being of Educators.

Objective: As awareness of educator stress and burnout is at the forefront of issues faced in the education system, programs are being implemented to focus on the well-being and betterment of educators. Mindfulness is one such practice that has been found to increase wellness and, in many cases, decrease negative outcomes. In this study, the effects of a Mindfulness-Based Stress Reduction Program were measured in grade-school (K-12) educators. Design: A longitudinal noncontrolled trial of educators who completed baseline and short- and long-term postintervention surveys. Location: Miami-Dade County. Subjects: Two hundred thirty-six educators who worked in K-12 public and private schools. Intervention: An 8-week Mindfulness-Based Stress Reduction Program. Outcome measures: Five Facet Mindfulness Questionnaire, Self-Compassion Scale, Maslach Burnout Inventory-Educators, Patient-Reported Outcome Measurement Information System (PROMIS-29) for measuring physical and mental health functionality. Results: The multiple linear regression analysis of the short-term cohort data yielded statistically significant improvements in mindfulness, self-compassion, and personal accomplishment and decreases in isolation, anxiety, fatigue, and emotional exhaustion. In the long-term cohort, repeated measures regression showed self-compassion and mindfulness continued to improve significantly, whereas negative outcomes of fatigue and sleep disturbance showed statistically significant decreases. Effect sizes were calculated for all the measures, many of which were medium sized, total mindfulness (0.69), self-compassion (0.051), and sleep disturbance (0.49). Conclusion: Findings are consistent with previous literature and support the need for such programs that impact the educator's personal and professional experience.

Musculoskeletal Pain and Interest in Meditation and Yoga in Home Health Aides: Evidence From the Home Health Occupations Musculoskeletal Examinations (HHOME) Study.

Home healthcare aides (HHAs) are a growing U.S. workforce highly susceptible to workplace stressors and musculoskeletal pain. In the present study we: 1) examine the association of musculoskeletal pain to life satisfaction and emotional exhaustion; and 2) characterize interest in meditation and yoga in a sample of HHAs. A nonprobabilistic sample of HHAs employed at home healthcare agencies in Florida, Massachusetts, and Oregon (n = 285 total) completed a self-administered questionnaire with standard survey measures on musculoskeletal pain location, duration, and severity; life satisfaction; emotional exhaustion; and interest in meditation techniques and yoga. Among HHAs responding, 48.4% reported pain in the last 7 days and 46.6% reported pain in the last 3 months. Home healthcare aides who reported current pain and chronic pain had a significant (P < .05) decrease in satisfaction with life score and a significant increase in emotional exhaustion score. The majority of HHAs reported an interest in learning about the benefits (65.6%) and practice (66.4%) of meditation and a willingness to participate in a yoga class (59.2%) or stress management meeting (59.1%). The HHAs reported both acute and chronic musculoskeletal pain that was correlated with lower life satisfaction and greater emotional exhaustion. More efforts are needed to reduce the sources of injury and emotional exhaustion.

Prevalence of Mindfulness Practices in the US Workforce: National Health Interview Survey.

INTRODUCTION: Mindfulness-based practices can improve workers' health and reduce employers' costs by ameliorating the negative effect of stress on workers' health. We examined the prevalence of engagement in 4 mindfulness-based practices in the US workforce. METHODS: We used 2002, 2007, and 2012 National Health Interview Survey (NHIS) data for adults (aged ≥18 y, n = 85,004) to examine 12-month engagement in meditation, yoga, tai chi, and qigong among different groups of workers. RESULTS: Reported yoga practice prevalence nearly doubled from 6.0% in 2002 to 11.0% in 2012 (P < .001); meditation rates increased from 8.0% in 2002 to 9.9% in 2007 (P < .001). In multivariable models, mindfulness practice was significantly lower among farm workers (odds ratio [OR] = 0.42; 95% confidence interval [CI], 0.21-0.83]) and blue-collar workers (OR = 0.63; 95% CI, 0.54-0.74) than among white-collar workers. CONCLUSION: Worker groups with low rates of engagement in mindfulness practices could most benefit from workplace mindfulness interventions. Improving institutional factors limiting access to mindfulness-based wellness programs and addressing existing beliefs about mindfulness practices among underrepresented worker groups could help eliminate barriers to these programs.

Engagement in mindfulness practices by U.S. adults: sociodemographic barriers.

OBJECTIVE: To examine the effect of sociodemographic factors on mindfulness practices. METHODS: National Health Interview Survey Alternative Medicine Supplement data were used to examine sociodemographic predictors of engagement in meditation, yoga, tai chi, and qigong. RESULTS: Greater education was associated with mindfulness practices (odds ratio [OR], 4.02 [95% confidence interval [CI], 3.50-4.61]), men were half as likely as women to engage in any practice, and lower engagement was found among non-Hispanic blacks and Hispanics. CONCLUSION: Vulnerable population groups with worse health outcomes were less likely to engage in mindfulness practices.

Structural equation modeling: a framework for ocular and other medical sciences research.

Structural equation modeling (SEM) is a modeling framework that encompasses many types of statistical models and can accommodate a variety of estimation and testing methods. SEM has been used primarily in social sciences but is increasingly used in epidemiology, public health, and the medical sciences. SEM provides many advantages for the analysis of survey and clinical data, including the ability to model latent constructs that may not be directly observable. Another major feature is simultaneous estimation of parameters in systems of equations that may include mediated relationships, correlated dependent variables, and in some instances feedback relationships. SEM allows for the specification of theoretically holistic models because multiple and varied relationships may be estimated together in the same model. SEM has recently expanded by adding generalized linear modeling capabilities that include the simultaneous estimation of parameters of different functional form for outcomes with different distributions in the same model. Therefore, mortality modeling and other relevant health outcomes may be evaluated. Random effects estimation using latent variables has been advanced in the SEM literature and software. In addition, SEM software has increased estimation options. Therefore, modern SEM is quite general and includes model types frequently used by health researchers, including generalized linear modeling, mixed effects linear modeling, and population average modeling. This article does not present any new information. It is meant as an introduction to SEM and its uses in ocular and other health research.

Location of the Escherichia coli RNA polymerase alpha subunit C-terminal domain at an FNR-dependent promoter: analysis using an artificial nuclease.

The Escherichia coli FNR protein is a global transcription regulator that activates gene expression via interactions with the RNA polymerase alpha subunit C-terminal domain. Using preparations of E. coli RNA polymerase holoenzyme, specifically labelled with a DNA cleavage reagent, we have determined the location and orientation of the C-terminal domain of the RNA polymerase alpha subunit in transcriptionally competent complexes at a class II FNR-dependent promoter. We conclude that one alpha subunit C-terminal domain binds immediately upstream of FNR, and that its position and orientation is the same as at similar promoters dependent on CRP, another E. coli transcription activator that is related to FNR. In complementary experiments, we show that the second alpha subunit C-terminal domain of RNA polymerase can be repositioned by upstream-bound CRP, but not by upstream-bound FNR.

Identification of a monogenic locus (jams1) causing juvenile audiogenic seizures in mice.

Epilepsy is a debilitating disease with a strong genetic component. Positional cloning has identified a few genes for rare monogenic epilepsy syndromes; however, the genetics of common human epilepsies are too complex to be analyzed easily by current techniques. Mouse models of epilepsy can further this analysis by eliminating genetic background heterogeneity and enabling the production of sufficient numbers of offspring. Here, we report that Black Swiss mice have a heretofore unrecognized specific susceptibility to audiogenic seizures. These seizures are characterized by wild running, loss of righting reflex, and tonic flexion and extension, and are followed by a postictal period. The susceptibility to these seizures is developmentally regulated, peaking at 21 d of age and nearly disappearing by adulthood. Interestingly, both the susceptibility to seizures and their developmental regulation appear unrelated to hearing thresholds in the Black Swiss strain and backcrossed progeny. Genetic mapping and linkage analysis of hybrid mice localize the seizure gene, jams1 (juvenile audiogenic monogenic seizures), to a 1.6 +/- 0.5 centimorgan (cM) region on mouse chromosome 10, delimited by the gene basigin (Bsg) and marker D10Mit140. Interestingly, the majority of the critical region is syntenic to a region on human chromosome 19p13.3 implicated in a familial form of juvenile febrile convulsions. Cloning the gene for audiogenic seizures in these mice may provide important insight into the fundamental mechanisms for developmentally regulated human epilepsy syndromes.