Psychological health benefits of focusing on the 'here and now' versus a limited future during the COVID-19 pandemic.

Objective: College students' psychological health has been negatively impacted by the COVID-19 pandemic (e.g., 1). We investigated whether students' psychological health was related to their orientation toward the future and mindfulness while considering previously-identified correlates of psychological health such as perceived risks of COVID-19. Participants: Participants were 278 college students at a mid-Atlantic US university in November and December 2020. Method: Using a self-report survey, we measured three aspects of psychological health (depression, anxiety, and stress) and future orientation, mindfulness, perceptions of risk, and the personal impact of COVID-19 on students' lives. Results: Multiple linear regression analyses showed that greater mindfulness and focusing less on a limited future were related to less depression, anxiety, and stress. Conclusions: Encouraging students to be mindful and focus on the present instead of focusing on a limited future may be beneficial for their psychological well-being during the COVID-19 pandemic.

The role of dispositional mindfulness in the fear-avoidance model of pain.

OBJECTIVE: The fear-avoidance model of pain posits that a painful stimulus is interpreted through pain catastrophizing, which leads to negative downstream cognitions, emotions, and behaviors that shape the experience of pain. As dispositional mindfulness is associated with less catastrophizing and pain, some researchers have suggested incorporating mindfulness into the fear-avoidance model. Across two studies, we empirically tested dispositional mindfulness as a stand-alone component within the fear-avoidance model of pain. METHODS: Two independent, online cross-sectional surveys (Ns = 362 and 580 U.S. adults) were conducted. Participants completed validated assessments of mindfulness, pain catastrophizing, fear of pain, pain vigilance, depression, pain intensity, and pain sensitivity. Using structural equation modeling, we tested the inclusion of dispositional mindfulness in the fear-avoidance model of pain. We proposed that greater mindfulness would be associated with less pain catastrophizing, which in turn would be associated with less fear of pain, leading to less depression, and then ultimately less pain intensity and pain sensitivity. RESULTS: Across both studies, the fear-avoidance model of pain did not fit the data well, with or without mindfulness included. We found that a simplified model fit the data best (Study 1: χ2/df = 1.83; CFI = .981; RMSEA = .049, 90% CI [0.019, 0.076]; SRMR = 0.031; Study 2: χ2/df = 2.23; CFI = .976; RMSEA = .046, 90% CI [0.026, 0.067]; SRMR = .031), such that greater mindfulness was significantly associated with less pain catastrophizing and, in turn, lower levels of pain intensity and pain sensitivity. CONCLUSION: Our findings suggest that a simplified model, compared to the traditional fear-avoidance model, may partly explain the experience of pain among individuals without chronic pain. Future work should examine the temporal associations among these variables to inform the employment of future empirically supported interventions for pain management.

Perceptions and Expectations of School-Based Professionals Surrounding School-Based Mindfulness Training in Appalachia During the COVID-19 Pandemic: A Qualitative Study.

Background: School-based professionals often report high burnout, particularly in geographic areas like Appalachia, where school-aged children are exposed to high levels of adverse childhood experiences, which may be exacerbated by the COVID-19 pandemic. While school-based mindfulness trainings can reduce burnout, their efficacy is influenced by the expectations of intervention personnel ahead of implementation. The present study assessed expectations and perceptions of a school-based mindfulness training among school personnel in 21 Appalachian schools during the COVID-19 pandemic. Methods: Upon enrollment in the training, staff (N = 191) responded to open ended survey questions regarding perceived impacts of COVID-19 on students, expected benefits and barriers to school-based mindfulness, and perceived community acceptance of mindfulness. Results: School personnel identified social isolation and lack of structure as negative impacts of COVID-19 on students. Expected benefits of classroom mindfulness included improved coping skills, focus, and emotion regulation, whereas barriers included lack of time and student ability level (e.g., age, attention). While most respondents indicated that their community was accepting of mindfulness practices, some noted resistance to and misperceptions of mindfulness, which may illustrate the influence of local cultural norms and values on the acceptability of mental health interventions. Conclusions: Overall, these findings suggest positive expectations and relative perceived support for mindfulness practices within these Appalachian communities, including in response to negative impacts of the COVID-19 pandemic on students. Adapting practices and language to accommodate barriers such as time, student ability, and cultural misconceptions of mindfulness may increase the feasibility and efficacy of these interventions.

Risk and protective factors for college students' psychological health during the COVID-19 pandemic.

Objective: College students' psychological health may be compromised due to the COVID-19 pandemic. Here, we aimed to identify risk (eg, perceived risk of contracting COVID-19) and protective factors (ie, social support, mindfulness) for positive (ie, subjective happiness, satisfaction with life) and negative (ie, depression, anxiety, stress) aspects of psychological health. Participants: Participants were 251 college students at a mid-Atlantic university. Method: Self-report online survey data were collected between March and May 2020 using established measures of risk perception, mindfulness, social support, and psychological health. Results: Greater perceived risk of contracting COVID-19 was associated with greater depression, anxiety, and stress. Greater mindfulness was a protective factor for psychological health. Greater social support was associated with less depression, and greater happiness and life satisfaction. Conclusions: Programs that teach students how to cultivate mindfulness and supportive relationships and reduce their risk of contracting COVID-19 may help protect against depression, stress, and anxiety.

Measurement of cigarette smoking: Comparisons of global self-report, returned cigarette filters, and ecological momentary assessment.

Prior work suggests that prospective measurement of cigarette use may be more reliable and valid than retrospective self-reports. Despite several studies comparing retrospective and prospective methods, there are a myriad of prospective methods that have not been directly compared, including spent cigarette filters that are returned to the laboratory by participants and diary logs of cigarette use on an electronic device via ecological momentary assessment. The current secondary data analysis compared the reliability of retrospective global self-report, returned cigarette filters, and electronic diary logs among a sample of cigarette smokers that also use smokeless tobacco (SLT; N = 51) over two consecutive weeks. CPD values also were compared to salivary cotinine levels to determine whether any method was associated more strongly with nicotine/tobacco exposure. Results indicated that CPD values via global self-report were significantly larger than returned filter and diary log daily averages across both weeks (t(50) = 8.28 to 9.35; p < .001). Both prospective measures showed less digit bias and more variation in smoking behavior across days than global self-reports. Only returned CPD values were correlated significantly with salivary cotinine levels (r(593) = 0.09, p = .024). Importantly, most reliability outcomes for returned filters and logged CPD did not differ significantly, suggesting that they may be comparable prospective methods for measuring cigarette use. Because returned filters and diary logs did not differ from one another, researchers' selection of a prospective measurement method should rely on considerations of participant compliance, protocol burden, and specific research questions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

A Mixed-Method Assessment of a 10-Day Mobile Mindfulness Intervention.

Mobile mindfulness interventions represent a promising alternative to traditional in-person interventions that are resource demanding and have limited accessibility, preventing use by many populations. Despite greater accessibility and popularity of mobile mindfulness applications (apps), research is needed testing the effectiveness of brief interventions delivered via these platforms. The present study assessed the efficacy of a brief mobile mindfulness intervention compared to an active control for increasing state and trait mindfulness and improving mood, as well as the acceptability of the app, in a sample of undergraduate students. Participants (N=139; M age=19.43years, 80.6% female, 83.5% White) were randomly assigned to either a 10-day mobile mindfulness (Headspace) or cognitive training (Peak) condition. Trait mindfulness was measured pre- and post-intervention. During the 10-day intervention, participants completed 10-min daily exercises on the assigned app, responded to daily questionnaires of state mindfulness and mood, and completed a daily written log of their reactions to the app exercises. Attrition was low (90% completion rate) and did not differ by condition. Participants in the mindfulness condition spent an average of 88.15min (SD=24.75) meditating out of the full 100min prescribed by the intervention. State mindfulness significantly increased across the 10-day intervention for participants in the mindfulness, but not the cognitive training, condition beginning around days 5 and 6. Some aspects of trait mindfulness increased and mood improved from pre- to post-intervention, but these changes were observed in both conditions (i.e., no significant differences were observed by condition). Qualitative analysis of open-ended reactions to the mindfulness app indicated that participants reported more likes than dislikes. Common themes for likes were that participants experienced feelings of calm and focus following the daily mindfulness exercises. Dislikes included discomfort and anxiety associated with increased awareness of thoughts and physical sensations. These findings suggest that while a brief mobile mindfulness intervention is acceptable to undergraduate college students and effective at increasing state mindfulness, a longer intervention may be needed in order to elicit corresponding changes in trait-level mindfulness or mood.

Predictors of Change in Mental Health during the COVID-19 Pandemic.

BACKGROUND: Cross-sectional data suggest that depression, anxiety, and stress have increased during the COVID-19 pandemic. However, longitudinal research is needed to test changes in mental health and determine factors that contribute to change. The purpose of this study was to compare anxiety, depression, and stress pre-pandemic to during the pandemic within the same sample and identify predictors of change (i.e., disease threat, changes to daily life, social isolation, financial worries). METHOD: Three national samples of U.S. adults were recruited through an online platform (Amazon's Mechanical Turk). Participants completed online surveys pre-pandemic (September - December 2019) and during the pandemic(April - June 2020). RESULTS: Across the three samples, mini-meta analyses revealed significant increases in anxiety and stress (Cohen's ds = 0.17, 0.16, respectively; ps < 0.01). Financial concern and effects of COVID-19 on daily life predicted higher levels of depression, anxiety, and stress during the pandemic across all three samples (ds = 0.24, 0.40, and 0.40, respectively; ps < 0.001). LIMITATIONS: Response rates for follow-up surveys were relatively low, with some noted differences between those who did and did not complete both surveys. CONCLUSIONS: Significant increases in anxiety and stress were observed across three samples of U.S. adults from before to during the COVID-19 pandemic. Financial concern and effects of the pandemic on daily life emerged as the most consistent predictors of psychological distress across these samples.

Mind your gaze: Examining the relation between trait mindfulness and visual attention to valenced images.

Trait mindfulness pertains to one's ability to non-judgmentally attend to experiences. While attention regulation represents a core component of mindfulness, the relation between trait mindfulness and visual attention is unclear. Further, despite established associations between mindfulness and emotion regulation, few studies have examined whether trait mindfulness may be related to attention to emotionally valenced content. Thus, the present study used an eye-tracking paradigm to assess relations between trait mindfulness, emotion regulation and selective visual attention to valenced stimuli. Participants (N = 123; 75.6 % female; 87 % Caucasian; Mage = 19.14 years) completed measures of trait mindfulness, emotion regulation, and engaged in an eye-tracking paradigm in which they viewed sad, threatening, neutral, and happy images simultaneously. Dwell times on images (all categories combined), black space on screen, and each image category were calculated. Bivariate correlations were assessed to determine the relations among mindfulness, emotion regulation, and visual attention, controlling for mood. Trait mindfulness was associated with longer dwell time on images overall, but specifically longer dwell time on threatening and happy images. Although trait mindfulness and emotion regulation were positively associated, emotion regulation was not significantly associated with visual attention. These results suggest that trait mindfulness is associated with visual attention to valenced stimuli, particularly happy and threatening images, and emotion regulation does not account for these relations. These findings add to our understanding of the cognitive mechanisms underlying trait mindfulness.

Social Smoking Environment and Associations With Cardiac Rehabilitation Attendance.

PURPOSE: Continued cigarette smoking after a major cardiac event predicts worse health outcomes and leads to reduced participation in cardiac rehabilitation (CR). Understanding which characteristics of current smokers are associated with CR attendance and smoking cessation will help improve care for these high-risk patients. We examined whether smoking among social connections was associated with CR participation and continued smoking in cardiac patients. METHODS: Participants included 149 patients hospitalized with an acute cardiac event who self-reported smoking prior to the hospitalization and were eligible for outpatient CR. Participants completed a survey on their smoking habits prior to hospitalization and 3 mo later. Participants were dichotomized into two groups by the proportion of friends or family currently smoking ("None-Few" vs "Some-Most"). Sociodemographic, health, secondhand smoke exposure, and smoking measures were compared using t tests and χ2 tests (P < .05). ORs were calculated to compare self-reported rates of CR attendance and smoking cessation at 3-mo follow-up. RESULTS: Compared with the "None-Few" group, participants in the "Some-Most" group experienced more secondhand smoke exposure (P < .01) and were less likely to attend CR at follow-up (OR = 0.40; 95% CI, 0.17-0.93). Participants in the "Some-Most" group tended to be less likely to quit smoking, but this difference was not statistically significant. CONCLUSION: Social environments with more smokers predicted worse outpatient CR attendance. Clinicians should consider smoking within the social network of the patient as an important potential barrier to pro-health behavior change.

Cigarette smokers' concurrent use of smokeless tobacco: dual use patterns and nicotine exposure.

BACKGROUND: The concurrent use of cigarettes with other tobacco products, such as smokeless tobacco (SLT), is increasingly common. Extant work with cigarette smokers who also use SLT is based heavily on retrospective reports and between-group comparisons. The purpose of this study was to assess prospectively the patterns of dual users' product use and nicotine exposure on days when cigarettes were smoked exclusively (single use) versus concurrently with SLT (dual use). DESIGN: Forty-six dual cigarette-SLT users recorded their product use in real time via ecological momentary assessment for a 2-week longitudinal design. They responded to questions about situational factors (eg, location, mood) using this same diary, and collected saliva samples each night for later cotinine measurement. At the end of this 2-week period, users reported on their reasons for and beliefs about SLT use. RESULTS: Cotinine levels were significantly higher on dual versus single use days (mean±SEM=374.48±41.08 ng/mL vs 300.17±28.13 ng/mL, respectively; p<0.01), and the number of cigarettes logged was higher on dual versus single use days (11.13±0.98 vs 9.13±1.11, respectively; p<0.01). Product use was distinguished by situational factors, with the strongest predictor being location of use. Moreover, the most common reason for initiating (56.52%) and continuing (67.39%) SLT use was to circumvent indoor smoking restrictions. CONCLUSIONS: Results support the idea of product supplementation rather than replacement among this convenience sample of dual users. For smokers whose primary motivation for SLT use involves situations where they would otherwise be tobacco free, the potential benefits of clean indoor air laws may be diminished.

Mindfulness and engagement in COVID-19 preventive behavior.

The novel coronavirus disease 2019 (COVID-19) pandemic represents a significant risk to population health. Health organizations worldwide have recommended numerous preventive health behaviors to slow the spread of COVID-19. Yet, considerable variability exists in individual-level adherence to these recommendations. Mindfulness has been associated with greater engagement in health promotive behavior (e.g., physical activity, healthy eating), and may serve as an individual difference factor that encourages adherence. However, no study to date has examined the extent to which mindfulness is associated with preventive health behaviors during a global pandemic. The purpose of the present study was to assess the relations between mindfulness and recommended preventive health behaviors for COVID-19. A national U.S. sample (N = 353; M age = 41.47 years, range: 19-84; 50.2% female) completed an online survey via Amazon's Mechanical Turk from April 3rd to 15th, 2020, including measures of mindfulness and frequency of avoiding touching one's face, handwashing, disinfecting/cleaning frequently used surfaces, social distancing, and self-quarantining. Personality, health risk, and demographic factors were also assessed to test the unique association between mindfulness and preventive health behaviors. Mindfulness was significantly correlated with greater engagement in all of the COVID-19 preventive health behaviors. However, when accounting for demographics, health risk, and personality, mindfulness was only uniquely associated with engagement in social distancing. This research highlights mindfulness as an individual-level characteristic associated with engagement in COVID-19 preventive health behavior and may inform future prevention efforts aimed at improving adherence to recommendations for curbing the spread of infectious disease.

Patterns of tobacco use among smokers prior to hospitalization for an acute cardiac event: Use of combusted and non-combusted products.

Use of tobacco products before or after a cardiac event increases risk of morbidity and mortality. Unlike cigarette smoking, which is generally screened in the healthcare system, identifying the use of other tobacco products remains virtually unexplored. This study aimed at characterizing the use of other non-combusted tobacco products in addition to combusted products among cardiac patients and identifying a profile of patients who are more likely to use non-combusted products. Patients (N = 168) hospitalized for a coronary event who reported being current cigarette smokers completed a survey querying sociodemographics, cardiac diagnoses, use of other tobacco products, and perceptions towards these products. Classification and regression tree (CART) analysis was used to identify which interrelationships of participants characteristics led to profiles of smoking cardiac patients more likely to also be using non-combusted tobacco products. Results showed that non-combusted tobacco product use ranged from 0% to 47% depending on patient characteristic combinations. Younger age and lower perception that cigarette smoking is responsible for their cardiac condition were the strongest predictive factors for use of non-combusted products. Tobacco product use among cardiac patients extends beyond combusted products (13.7% non-combusted product use), and consequently, screening in health care settings should be expanded to encompass other tobacco product use. This study also characterizes patients likely to be using non-combusted products in addition to combusted, a group at high-risk due to their multiple product use, but also a group that may be amenable to harm reduction approaches and evidence-based tobacco treatment strategies.

Assessing attentional bias and inhibitory control in cannabis use disorder using an eye-tracking paradigm with personalized stimuli.

Individuals with cannabis use disorders (CUD) show inhibitory control deficits and differential attention toward marijuana (MJ) stimuli. The robustness and utility of these measures in the CUD literature are somewhat equivocal. The present study was designed to increase measurement sensitivity by capitalizing on (a) individually calibrated stimulus selection based on cue reactivity patterns and (2) eye-tracking based measurement. CUD (n = 42) and non-CUD controls (n = 11) served as subjects. Subjects were first exposed to MJ and neutral pictures while measuring physiological and subjective responses on a trial by trial basis. A single reactivity index was created for each stimulus (L2 vector norm). Subject-unique high-reactivity MJ and low-reactivity neutral stimuli were then used in an eye-tracking task (pro-/antisaccade). The stimulus calibration procedure produced large reactivity differences between high/MJ and low/neutral stimuli (p < .001, effect size >7). CUD subjects made more overall antisaccade errors than controls (inhibitory control, p < .02, effect size >1), and CUD subjects (but not controls) made more errors on MJ trials versus neutral trials (attentional bias, p < .002, effect size >1). Within CUD subjects, L2 vector norm scores were associated with antisaccade errors (p < .04), and antisaccade errors were correlated with the Perceived Stress Scale (p < .03) and marginally with CUD severity (p < .07). Because of precise understanding of the neural circuitry governing antisaccades (a marker in several neuro/psychiatric disorders), eye movement-based measures combined with individually determined stimuli may provide an efficient and robust marker in CUD research. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Comparison of three measurement models of discounting among individuals with methamphetamine use disorder.

BACKGROUND AND OBJECTIVES: Delay discounting is associated with numerous clinically significant aspects of substance use disorders (SUDs). Recent studies have demonstrated that different models for assessing discounting may result in disparate conclusions. The current study compared two discounting tasks: money now versus money later (M-M) and methamphetamine now versus money later (MA-M) among non-treatment seeking individuals (N = 59) with methamphetamine use disorder (MAUD). Results from each task were assessed using three different models for assessing delay discounting. METHODS: Discounting data were fit to three models of discounting, log k using Mazur's hyperbolic formula, area under the curve (AUC), and an alternative AUC model in which the delay values have been log transformed (AUClog). RESULTS: For both discounting tasks, the distribution of model-related outcomes were normally distributed when using log k and AUClog, but skewed for AUC. Discounting in the MA-M task was significantly greater compared to the M-M task when using log k and AUClog but not AUC. CONCLUSION: To our knowledge, the current study is the first to report significantly greater discounting in a MA-M relative to M-M discounting task among individuals with MAUD, an outcome consistent with other psychomotor stimulants and drugs of abuse. SCIENTIFIC SIGNIFICANCE: The differential results observed across the three discounting models reaffirm potential issues with AUC noted in recent studies and highlight that researchers must be cautious when deciding on their final model of discounting. (Am J Addict 2018;XX:1-8).

A COMPARISON OF MAZUR'S k AND AREA UNDER THE CURVE FOR DESCRIBING STEEP DISCOUNTERS.

Delay discounting describes how a reward loses value as a function of increasing delay to its receipt and has been reliably associated with a variety of vulnerable populations including those with substance use disorders (SUDs). Two commonly used models to assess delay discounting in the field of SUDs include log k derived from Mazur's hyperbolic equation and area under the curve (AUC). In the current study, we compared log k with AUC on delay discounting data obtained from non-treatment seeking, cocaine- and methamphetamine-dependent volunteers. We specifically chose this population in order to obtain a distribution of relatively steep discounters. The results show that the relationship between AUC and log k is better described by a quadratic rather than a linear function. In other words, changes in discounting, as measured by AUC and log k, are reflected differently across a range of obtained responses. Additionally, the distribution of AUC values was skewed, which appears to be more likely among populations exhibiting greater discounting. Finally, closer examination of indifference points revealed that AUC was almost perfectly predicted by the area from the two longest delays, with relatively less input from shorter delays. Given these results, researchers should exercise additional caution when deciding which method to assess discounting data and how final results are to be interpreted, particularly when dealing with relatively high rates of discounting. High rates of discounting are likely in populations with impulsive disorders such as those with SUDs.