Electronic cigarette use and tobacco cessation in a state-based quitline

Introduction. Evidence is mixed on e-cigarette's effectiveness as a tobacco cessation aid. Research suggests that e-cigarette users face greater barriers to quitting tobacco. Aim. To examine the association between e-cigarette use and tobacco cessation outcomes among quitline callers. Methods. We examined 2,204 callers who enrolled and completed 7-month follow-up surveys between April 2014 and January 2017. We examined the association between any e-cigarette use and tobacco cessation. We also evaluated these relationships by e-cigarette use patterns between enrollment and 7-month follow-up: sustained, adopted, discontinued, and non-use. We used multivariable logistic regression to control for caller characteristics, tobacco history, and program utilization. Results. Overall, 18% of callers reported using e-cigarettes at enrollment, follow-up, or both. Compared to non-users, e-cigarette users were more likely to be younger, non-Hispanic, and report a mental health condition. The adjusted odds of tobacco cessation were not statistically different for callers who used e-cigarettes compared to those who did not (adjusted odds ratios = 1.02, 95% confidence interval 0.79-1.32). Results were similar when examining cessation by patterns of e-cigarette use. Conclusions. E-cigarette use was not associated with tobacco cessation. This suggests that e-cigarette use may neither facilitate nor deter tobacco cessation among quitline callers. Future research should continue exploring how e-cigarette use affects quitting.6 month embargo; published online: 20 March 2019This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Cognitively-Based Compassion Training versus cancer health education to improve health-related quality of life in survivors of solid tumor cancers and their informal caregivers: study protocol for a randomized controlled pilot trial

Background: Cancer survivors and their informal caregivers (family members, close friends) often experience significant impairments in health-related quality of life (HRQOL), including disruptions in psychological, physical, social, and spiritual well-being both during and after primary cancer treatment. The purpose of this in-progress pilot trial is to determine acceptability and preliminary efficacy (as reflected by effect sizes) of CBCT (R) (Cognitively-Based Compassion Training) compared with a cancer health education (CHE) attention control to improve the primary outcome of depressive symptoms and secondary outcomes of other HRQOL domains (e.g., anxiety, fatigue), biomarkers of inflammation and diurnal cortisol rhythm, and healthcare utilization-related outcomes in both cancer survivors and informal caregivers. Methods: Forty dyads consisting of solid tumor survivors who have completed primary treatments (chemotherapy, radiation, surgery) and their informal caregivers, with at least one dyad member with mild depressive symptoms or anxiety, will be recruited from Tucson, Arizona, USA. Survivor-caregiver dyads will be randomized together to complete either CBCT or CHE. CBCT is a manualized, 8-week, group meditation-based intervention that starts with attention and mindfulness and builds to contemplative practices aimed at cultivating compassion to the self and others. The goal of CBCT is to challenge unexamined assumptions about feelings and behaviors, with a focus on generating spontaneous self-compassion and increased empathic responsiveness and compassion for others. CHE is an 8-week, manualized group intervention that provides cancer-specific education on various topics (e.g., cancer advocacy, survivorship wellness). Patient-reported HRQOL outcomes will be assessed before, immediately after (week 9), and 1month after CBCT or CHE (week 13). At the same time points, stress-related biomarkers of inflammation (e.g., plasma interleukin-6) and saliva cortisol relevant for survivor and informal caregiver wellness and healthcare utilization will be measured. Discussion: If CBCT shows acceptability, a larger trial will be warranted and appropriately powered to formally test the efficacy of this dyadic intervention. Interventions such as CBCT directed toward both survivors and caregivers may eventually fill a gap in supportive oncology care programs to improve HRQOL and healthcare utilization in both dyad members. Trial registration Clinicaltrials.gov, NCT03459781. Prospectively registered on 9 March 2018.The Jack Challem Trust [001]Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Change in longitudinal trends in sleep quality and duration following breast cancer diagnosis: results from the Women's Health Initiative

Breast cancer survivors frequently report sleep problems, but little research has studied sleep patterns longitudinally. We examined trends in sleep quality and duration up to 15 years before and 20 years after a diagnosis of breast cancer, over time among postmenopausal women participating in the Women's Health Initiative (WHI). We included 12,098 participants who developed invasive breast cancer after study enrollment. A linear mixed-effects model was used to determine whether the time trend in sleep quality, as measured by the WHI Insomnia Rating Scale (WHIIRS), a measure of perceived insomnia symptoms from the past 4 weeks, changed following a cancer diagnosis. To examine sleep duration, we fit a logistic regression model with random effects for both short (<6 h) and long (≥9 h) sleep. In addition, we studied the association between depressive symptoms and changes in WHIIRS and sleep duration. There was a significantly slower increase in the trend of WHIIRS after diagnosis (β = 0.06; p = 0.03), but there were non-significant increases in the trend of the probability of short or long sleep after diagnosis. The probability of depressive symptoms significantly decreased, though the decrease was more pronounced after diagnosis (p < 0.01). Trends in WHIIRS worsened at a relatively slower rate following diagnosis and lower depression rates may explain the slower worsening in WHIIRS. Our findings suggest that over a long period of time, breast cancer diagnosis does not adversely affect sleep quality and duration in postmenopausal women compared to sleep pre-diagnosis, yet both sleep quality and duration continue to worsen over time.WHI - National Heart, Lung, and Blood Institute, National Institutes of Health, US Department of Health and Human Services [HHSN268201600018C, HHSN268201600001C, HHSN268201600002C, HHSN268201600003C, HHSN268201600004C]; Ohio State University Susan G Komen Graduate Trainee Program [GTDR15334082]Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Surveying the Dynamic Radio Sky with the Long Wavelength Demonstrator Array

This paper presents a search for radio transients at a frequency of 73.8 MHz (4 m wavelength) using the all-sky imaging capabilities of the Long Wavelength Demonstrator Array (LWDA). The LWDA was a 16-dipole phased array telescope, located on the site of the Very Large Array in New Mexico. The field of view of the individual dipoles was essentially the entire sky, and the number of dipoles was sufficiently small that a simple software correlator could be used to make all-sky images. From 2006 October to 2007 February, we conducted an all-sky transient search program, acquiring a total of 106 hr of data; the time sampling varied, being 5 minutes at the start of the program and improving to 2 minutes by the end of the program. We were able to detect solar flares, and in a special-purpose mode, radio reflections from ionized meteor trails during the 2006 Leonid meteor shower. We detected no transients originating outside of the solar system above a flux density limit of 500 Jy, equivalent to a limit of no more than about 10^{-2} events/yr/deg^2, having a pulse energy density >~ 1.5 x 10^{-20} J/m^2/Hz at 73.8 MHz for pulse widths of about 300 s. This event rate is comparable to that determined from previous all-sky transient searches, but at a lower frequency than most previous all-sky searches. We believe that the LWDA illustrates how an all-sky imaging mode could be a useful operational model for low-frequency instruments such as the Low Frequency Array, the Long Wavelength Array station, the low-frequency component of the Square Kilometre Array, and potentially the Lunar Radio Array.Comment: 20 pages; accepted for publication in A

Effects of social approval bias on self-reported fruit and vegetable consumption: a randomized controlled trial

<p>Abstract</p> <p>Background</p> <p>Self-reports of dietary intake in the context of nutrition intervention research can be biased by the tendency of respondents to answer consistent with expected norms (social approval bias). The objective of this study was to assess the potential influence of social approval bias on self-reports of fruit and vegetable intake obtained using both food frequency questionnaire (FFQ) and 24-hour recall methods.</p> <p>Methods</p> <p>A randomized blinded trial compared reported fruit and vegetable intake among subjects exposed to a potentially biasing prompt to that from control subjects. Subjects included 163 women residing in Colorado between 35 and 65 years of age who were randomly selected and recruited by telephone to complete what they were told would be a future telephone survey about health. Randomly half of the subjects then received a letter prior to the interview describing this as a study of fruit and vegetable intake. The letter included a brief statement of the benefits of fruits and vegetables, a 5-A-Day sticker, and a 5-a-Day refrigerator magnet. The remainder received the same letter, but describing the study purpose only as a more general nutrition survey, with neither the fruit and vegetable message nor the 5-A-Day materials. Subjects were then interviewed on the telephone within 10 days following the letters using an eight-item FFQ and a limited 24-hour recall to estimate fruit and vegetable intake. All interviewers were blinded to the treatment condition.</p> <p>Results</p> <p>By the FFQ method, subjects who viewed the potentially biasing prompts reported consuming more fruits and vegetables than did control subjects (5.2 vs. 3.7 servings per day, p < 0.001). By the 24-hour recall method, 61% of the intervention group but only 32% of the control reported eating fruits and vegetables on 3 or more occasions the prior day (p = 0.002). These associations were independent of age, race/ethnicity, education level, self-perceived health status, and time since last medical check-up.</p> <p>Conclusion</p> <p>Self-reports of fruit and vegetable intake using either a food frequency questionnaire or a limited 24-hour recall are both susceptible to substantial social approval bias. Valid assessments of intervention effects in nutritional intervention trials may require objective measures of dietary change.</p

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Building a transdisciplinary expert consensus on the cognitive drivers of performance under pressure: An international multi-panel Delphi study

IntroductionThe ability to perform optimally under pressure is critical across many occupations, including the military, first responders, and competitive sport. Despite recognition that such performance depends on a range of cognitive factors, how common these factors are across performance domains remains unclear. The current study sought to integrate existing knowledge in the performance field in the form of a transdisciplinary expert consensus on the cognitive mechanisms that underlie performance under pressure.MethodsInternational experts were recruited from four performance domains [(i) Defense; (ii) Competitive Sport; (iii) Civilian High-stakes; and (iv) Performance Neuroscience]. Experts rated constructs from the Research Domain Criteria (RDoC) framework (and several expert-suggested constructs) across successive rounds, until all constructs reached consensus for inclusion or were eliminated. Finally, included constructs were ranked for their relative importance.ResultsSixty-eight experts completed the first Delphi round, with 94% of experts retained by the end of the Delphi process. The following 10 constructs reached consensus across all four panels (in order of overall ranking): (1) Attention; (2) Cognitive Control—Performance Monitoring; (3) Arousal and Regulatory Systems—Arousal; (4) Cognitive Control—Goal Selection, Updating, Representation, and Maintenance; (5) Cognitive Control—Response Selection and Inhibition/Suppression; (6) Working memory—Flexible Updating; (7) Working memory—Active Maintenance; (8) Perception and Understanding of Self—Self-knowledge; (9) Working memory—Interference Control, and (10) Expert-suggested—Shifting.DiscussionOur results identify a set of transdisciplinary neuroscience-informed constructs, validated through expert consensus. This expert consensus is critical to standardizing cognitive assessment and informing mechanism-targeted interventions in the broader field of human performance optimization

Symptom Clusters and Trajectories of Depression and Anxiety in Latina Breast Cancer Survivors

Background: Latinas experience a greater number of symptoms and are at an elevated risk for depression and anxiety following a diagnosis of breast cancer compared to Non-Hispanic Whites and African Americans. Cancer-related symptom clusters are frequently reported in women with breast cancer and research suggests these women follow distinct trajectories for depression and anxiety. However, little is known about the trajectories of anxiety and depression or cancer-related symptom clusters in Latinas with breast cancer. Methods: 296 Latinas previously recruited and diagnosed with breast cancer comprised this sample. Questionnaires for depression (the Center for Epidemiological Studies-Depression) and Anxiety (Speilberger State-Trait Inventory and PROMIS Anxiety) were administered at baseline, 2 and 4 months post enrollment. To identify classes of Latina breast cancer survivors based on patterns of symptom occurrence, symptoms latent class analysis was used to describe symptom clusters. Group-based growth mixture modeling was utilized to identify classes of women who followed distinct trajectories of depression and anxiety. Results: On average women reported 4.2±3 symptoms with an overall symptom distress score of 6.4±2.5 (out of a scale of 10). Three symptom classes were identified: Weary and Sleepy (class 1), Weary (class 2) and Weary, Sleepy and Hurting (class 3). Women were most likely to cluster in class 1, followed by class 2 and 3 with fatigue (labeled weary) being the most prevalent symptom for all three classes. Three trajectories emerged for both depression and anxiety. For depression, the majority of women (79.6%) fell in the high then reducing trajectory for depression followed by the low and remaining low (17%) and the high and increasing (worsening) trajectories of depression (3%). For anxiety the majority (78% of women) followed the moderate to increasing (worsening) trajectory of anxiety followed by 14% in the moderate to declining (improving) and 8% in the low to slightly increasing (worsening) trajectories for anxiety. Conclusion: This study suggests Latina breast cancer survivors experience burdensome cancer-related symptom clusters and distinct trajectories for depression and anxiety. Further research is needed in minority women with breast cancer to adequately understand and treat cancer-related symptom clusters as well as depression and anxiety.Release after 20-Sep-201

Biomarkers of Diet and Nutritional Health

Dietary biomarkers are biological specimens that may serve as functional, biochemical, or clinical indicators of nutrient intake or metabolism. The majority of research studies utilize self-report methodologies for the measurement of diet. These include food diaries, repeat 24-h recalls, and food frequency questionnaires. While collecting dietary data by self-report can be cost-effective, it is subject to misreporting. Dietary biomarkers serve as objective measures of nutrient intake and metabolism and markedly increase the validity of diet–disease-related associations, while reducing participant bias due to misreporting. Dietary biomarkers can be classified into one of four groups: recovery, predictive, concentration, and replacement biomarkers. A variety of specimens can be collected for the measurement of dietary biomarkers, including but not limited to sweat, blood, urine, and exhaled gases.This chapter describes various methods for collecting self-reported diet information as well as the different classifications of dietary biomarkers, their relationship to health risk, as well as important considerations when collecting and analyzing biosamples

Selecting a theoretical framework to explore the social and cognitive uncertainty that hepatitis C treatment represents for people who inject drugs

Emerging research models for hepatitis C eradication suggest a social network-based treatment approach among people who inject drugs. It is essential for nurses to critically examine the influence of these social networks among people who inject drugs and the impact on their hepatitis C treatment decisions. The purpose of this paper is to describe the process of selecting a theoretical framework to guide a mixed methods study exploring the perceived uncertainty of individual hepatitis C treatment behaviors existing within the social networks of people who inject drugs. Using Walker and Avant's framework for theory analysis, four established theories and models from nursing science and psychology were reviewed. Aspects of both the Social Cognitive Theory and Uncertainty in Illness Theory were combined to form a theoretical framework, the Socio-Cognitive Uncertainty Model. This new theoretical framework describes the social and cognitive uncertainty that hepatitis C virus treatment represents for people who inject drugs. Taken together, social influence and social selection can inform the nurse's understanding of hepatitis C treatment acceptability among this high-risk social network- an important consideration in the pursuit of disease eradication