Cardiovascular risk, social vigilance, and stress profiles of male law enforcement officers versus civilians.

This study examined the cardiovascular disease (CVD) risk profiles of male law enforcement officers (LEOs) and civilians. CVD risk profiles were based on data collected using traditional objective (e.g., resting BP, cholesterol), novel objective (e.g., ambulatory BP) and self-report measures (e.g., EMA social vigilance). A subset of male LEOs (n = 30, M age = 41.47, SD = 8.03) and male civilians (n = 120, M age = 40.73, SD = 13.52) from a larger study were included in analyses. Results indicated LEOs had significantly higher body mass index [BMI], 31.17 kg/m2 versus 28.87 kg/m2, and exhibited significantly higher trait and state social vigilance across multiple measures, whereas perceived stress was higher among civilians. Findings highlight the need for future research examining CVD risk associated with occupational health disparities, including attributes of individuals entering certain professions as well as experiential and environmental demands of the work.

Feasibility and acceptability of measuring prenatal stress in daily life using smartphone-based ecological momentary assessment and wearable physiological monitors.

High levels of stress during pregnancy can have lasting effects on maternal and offspring health, which disproportionately impacts families facing financial strain, systemic racism, and other forms of social oppression. Developing ways to monitor daily life stress during pregnancy is important for reducing stress-related health disparities. We evaluated the feasibility and acceptability of using mobile health (mHealth) technology (i.e., wearable biosensors, smartphone-based ecological momentary assessment) to measure prenatal stress in daily life. Fifty pregnant women (67% receiving public assistance; 70% Black, 6% Multiracial, 24% White) completed 10 days of ambulatory assessment, in which they answered smartphone-based surveys six times a day and wore a chest-band device (movisens EcgMove4) to monitor their heart rate, heart rate variability, and activity level. Feasibility and acceptability were evaluated using behavioral meta-data and participant feedback. Findings supported the feasibility and acceptability of mHealth methods: Participants answered approximately 75% of the surveys per day and wore the device for approximately 10 hours per day. Perceived burden was low. Notably, participants with higher reported stressors and financial strain reported lower burden associated with the protocol than participants with fewer life stressors, highlighting the feasibility of mHealth technology for monitoring prenatal stress among pregnant populations living with higher levels of contextual stressors. Findings support the use of mHealth technology to measure prenatal stress in real-world, daily life settings, which shows promise for informing scalable, technology-assisted interventions that may help to reduce health disparities by enabling more accessible and comprehensive care during pregnancy.

Social visual attention as a treatment outcome: evaluating the social games for autistic adolescents (SAGA) intervention.

A core feature of autism involves difficulty perceiving and interpreting eye gaze shifts as nonverbal communicative signals. A hypothesis about the origins of this phenotype is that it emerges from developmentally different social visual attention (SVA). We developed Social Games for Autistic Adolescents (SAGA; Scherf et al. BMJ Open 8(9):e023682, 2018) as a serious game intervention for autistic individuals to discover the significance of eye gaze cues. Previously, we demonstrated the effectiveness of SAGA to improve the perception and understanding of eye gaze cues and social skills for autistic adolescents (Griffin et al. JCPP Adv 1(3):e12041, 2021). Here, we determine whether increases in social visual attention to faces and/or target gazed-at objects, as measured via eye tracking during the same Gaze Perception task in the same study sample, moderated this improvement. In contrast to predictions, SVA to faces did not differentially increase for the treatment group. Instead, both groups evinced a small increase in SVA to faces over time. Second, Prior to the SAGA intervention, attention to faces failed to predict performance in the Gaze Perception task for both the treatment and standard care control groups. However, at post-test, autistic adolescents in the treatment group were more likely to identify the object of directed gaze when they attended longer to faces and longer to target objects. Importantly, this is the first study to measure social visual attention via eye tracking as a treatment response in an RCT for autism. NCT02968225.

Acceptability and concerns about innovative wearable health sensors in persons with and without chronic disease diagnosis.

Advances in biomedical engineering continue to produce innovative wearable health sensors capable of real-time ambulatory assessments (e.g., of physiology, the environment), holding great potential for advancing precision monitoring and interventions through the integration of such devices and data into eHealth systems. As with any novel device, however, user views on acceptability and concerns about the technology must be evaluated to facilitate widespread implementation and user adoption of such devices. One factor that may strongly influence user views is the potential relevance to, and need for, self-care for chronic disease management. We examined if acceptability and concerns regarding innovative wearable devices differed between individuals living with or without chronic disease. A U.S. adult sample (N = 448; 20-70 yrs.; 34 % Female; 60 % White, 35 % Hispanic) completed a web-based survey regarding their thoughts/opinions related to innovative wearable sensors. Two-thirds (67 %, N = 298) reported at least one chronic disease; one-third (33 %, N = 150) reported no chronic health conditions. Participants viewed learning modules about two innovative devices: a watch to detect environmental gases for respiratory health, and a chest-patch monitoring real-time ECG. For each device, participants rated acceptability across multiple dimensions, and then rated potential concerns (including general concerns and specific worries about negative health impacts). Respondents with and without chronic disease differed in education, race, and ethnicity. Controlling for these differences, individuals with chronic disease reported significantly higher acceptability for the watch and for the chest-patch. Healthy participants reported significantly higher general concerns about technology. However, when concern questions were asked specifically about the potential negative impacts of the two study devices on physical health and well-being, participants with chronic disease reported significantly higher concerns. Overall, results show that living with chronic disease influences acceptability and concerns associated with adoption of innovative sensors. These findings suggest it is essential to take potential users' health status into account when studying the design and implementation of innovative wearable sensors. Dissemination strategies may benefit from emphasizing the beneficial features of these devices, addressing hesitations, and customizing implementation approaches by user group.

Just-in-time adaptive ecological momentary assessment (JITA-EMA).

Interest in just-in-time adaptive interventions (JITAI) has rapidly increased in recent years. One core challenge for JITAI is the efficient and precise measurement of tailoring variables that are used to inform the timing of momentary intervention delivery. Ecological momentary assessment (EMA) is often used for this purpose, even though EMA in its traditional form was not designed specifically to facilitate momentary interventions. In this article, we introduce just-in-time adaptive EMA (JITA-EMA) as a strategy to reduce participant response burden and decrease measurement error when EMA is used as a tailoring variable in JITAI. JITA-EMA builds on computerized adaptive testing methods developed for purposes of classification (computerized classification testing, CCT), and applies them to the classification of momentary states within individuals. The goal of JITA-EMA is to administer a small and informative selection of EMA questions needed to accurately classify an individual's current state at each measurement occasion. After illustrating the basic components of JITA-EMA (adaptively choosing the initial and subsequent items to administer, adaptively stopping item administration, accommodating dynamically tailored classification cutoffs), we present two simulation studies that explored the performance of JITA-EMA, using the example of momentary fatigue states. Compared with conventional EMA item selection methods that administered a fixed set of questions at each moment, JITA-EMA yielded more accurate momentary classification with fewer questions administered. Our results suggest that JITA-EMA has the potential to enhance some approaches to mobile health interventions by facilitating efficient and precise identification of momentary states that may inform intervention tailoring.

The relationship between loneliness and the experiences of everyday stress and stressor-related emotion.

Loneliness influences how people experience and respond to stressors, which may account for its role as a risk factor for morbidity and mortality. The present study was motivated by emerging evidence that affective responses to minor daily events have long-term implications for health and well-being. Specifically, we evaluated how individual differences in loneliness relate to the frequency of everyday stressors and stressor-related negative emotions. A diverse community sample of 255 adults (age 25-65 years) completed ecological momentary assessments (EMA), during which they reported recent stressors and current negative affect (NA) five times a day for 14 days. Multilevel logistic analyses indicated that there was a quadratic association between loneliness and likelihood of reporting stressors, controlling for demographics, social isolation, depressive symptoms, and context (current activities, current location). Multilevel regression indicated that loneliness was unrelated to the concurrent effect of stressors on NA but significantly larger lagged stressor effects were observed among individuals in the low and high ranges of loneliness. These findings suggest that individuals with high levels of loneliness are more likely to experience everyday stressors and have prolonged emotional responses following stressors.

Association Between User Interaction and Treatment Response of a Voice-Based Coach for Treating Depression and Anxiety: Secondary Analysis of a Pilot Randomized Controlled Trial.

BACKGROUND: The quality of user interaction with therapeutic tools has been positively associated with treatment response; however, no studies have investigated these relationships for voice-based digital tools. OBJECTIVE: This study evaluated the relationships between objective and subjective user interaction measures as well as treatment response on Lumen, a novel voice-based coach, delivering problem-solving treatment to patients with mild to moderate depression or anxiety or both. METHODS: In a pilot trial, 42 adults with clinically significant depression (Patient Health Questionnaire-9 [PHQ-9]) or anxiety (7-item Generalized Anxiety Disorder Scale [GAD-7]) symptoms or both received Lumen, a voice-based coach delivering 8 problem-solving treatment sessions. Objective (number of conversational breakdowns, ie, instances where a participant's voice input could not be interpreted by Lumen) and subjective user interaction measures (task-related workload, user experience, and treatment alliance) were obtained for each session. Changes in PHQ-9 and GAD-7 scores at each ensuing session after session 1 measured the treatment response. RESULTS: Participants were 38.9 (SD 12.9) years old, 28 (67%) were women, 8 (19%) were Black, 12 (29%) were Latino, 5 (12%) were Asian, and 28 (67%) had a high school or college education. Mean (SD) across sessions showed breakdowns (mean 6.5, SD 4.4 to mean 2.3, SD 1.8) decreasing over sessions, favorable task-related workload (mean 14.5, SD 5.6 to mean 17.6, SD 5.6) decreasing over sessions, neutral-to-positive user experience (mean 0.5, SD 1.4 to mean 1.1, SD 1.3), and high treatment alliance (mean 5.0, SD 1.4 to mean 5.3, SD 0.9). PHQ-9 (Ptrend=.001) and GAD-7 scores (Ptrend=.01) improved significantly over sessions. Treatment alliance correlated with improvements in PHQ-9 (Pearson r=-0.02 to -0.46) and GAD-7 (r=0.03 to -0.57) scores across sessions, whereas breakdowns and task-related workload did not. Mixed models showed that participants with higher individual mean treatment alliance had greater improvements in PHQ-9 (ß=-1.13, 95% CI -2.16 to -0.10) and GAD-7 (ß=-1.17, 95% CI -2.13 to -0.20) scores. CONCLUSIONS: The participants had fewer conversational breakdowns and largely favorable user interactions with Lumen across sessions. Conversational breakdowns were not associated with subjective user interaction measures or treatment responses, highlighting how participants adapted and effectively used Lumen. Individuals experiencing higher treatment alliance had greater improvements in depression and anxiety. Understanding treatment alliance can provide insights on improving treatment response for this new delivery modality, which provides accessibility, flexibility, comfort with disclosure, and cost-related advantages compared to conventional psychotherapy. TRIAL REGISTRATION: ClinicalTrials.gov NCT04524104; https://clinicaltrials.gov/study/NCT04524104.

Experimental Therapeutics: Opportunities and Challenges Stemming From the National Institute of Mental Health Workshop on Novel Target Discovery and Psychosocial Intervention Development.

There has been slow progress in the development of interventions that prevent and/or reduce mental-health morbidity and mortality. The National Institute of Mental Health (NIMH) launched an experimental-therapeutics initiative with the goal of accelerating the development of effective interventions. The emphasis is on interventions designed to engage a target mechanism. A target mechanism is a process (e.g., behavioral, neurobiological) proposed to underlie change in a defined clinical endpoint and through change in which an intervention exerts its effect. This article is based on discussions from an NIMH workshop conducted in February 2020 and subsequent conversations among researchers using this approach. We discuss the components of an experimental-therapeutics approach such as clinical-outcome selection, target definition and measurement, intervention design and selection, and implementation of a team-science strategy. We emphasize the important contributions of different constituencies (e.g., patients, caregivers, providers) in deriving hypotheses about novel target mechanisms. We highlight strategies for target-mechanism identification using published and hypothetical examples. We consider the decision-making dilemmas that arise with different patterns of results in purported mechanisms and clinical outcomes. We end with considerations of the practical challenges of this approach and the implications for future directions of this initiative.

Implementing text-messaging to support and enhance delivery of health behavior change interventions in low- to middle-income countries: case study of the Lifestyle Africa intervention.

The prevalence of non-communicable diseases, such as diabetes and cardiovascular disease, is rising in low- and middle-income countries (LMICs). Health behavior change (HBC) interventions such as the widely used Diabetes Prevention Program (DPP) are effective at reducing chronic disease risk, but have not been adapted for LMICs. Leveraging mobile health (mHealth) technology such as text messaging (SMS) to enhance reach and participant engagement with these interventions has great promise, yet we lack evidence-informed approaches to guide the integration of SMS specifically to support HBC interventions in LMIC contexts. To address this gap, we integrated guidance from the mHealth literature with expertise and first-hand experience to establish specific development steps for building and implementing SMS systems to support HBC programming in LMICs. Specifically, we provide real-world examples of each development step by describing our experience in designing and delivering an SMS system to support a culturally-adapted DPP designed for delivery in South Africa. We outline eight key SMS development steps, including: 1) determining if SMS is appropriate; 2) developing system architecture and programming; 3) developing theory-based messages; 4) developing SMS technology; 5) addressing international SMS delivery; 6) testing; 7) system training and technical support; and 8) cost considerations. We discuss lessons learned and extractable principles that may be of use to other mHealth and HBC researchers working in similar LMIC contexts.Trial registration Clinicaltrials.gov, NCT03342274 . Registered 10 November 2017.

Extending contingency management for smoking cessation to patients with or at risk for cardiovascular disease: A preliminary trial of a home-based intervention.

Cigarette smoking puts individuals with or at risk for developing cardiovascular disease (CVD) in jeopardy of experiencing a major cardiovascular event. Contingency management (CM) for smoking cessation is an intervention wherein financial incentives are provided contingent on biochemically verified smoking abstinence. Conventional CM programs typically require frequent clinic visits for abstinence monitoring, a potential obstacle for patients with medical comorbidities who may face barriers to access. This preliminary study examined the feasibility and comparative efficacy of (a) usual care (UC; advice to quit smoking, self-help materials, quitline referral) versus (b) UC plus home-based CM for smoking cessation (UC + HBCM). HBCM entailed earning monetary-based vouchers contingent on self-reported 24-hr smoking abstinence biochemically verified by a breath carbon monoxide (CO) sample ≤ 6 ppm. Participants were 20 outpatients with a CVD diagnosis or qualifying CVD risk factor randomly assigned 1:1 to the two conditions. Intervention participants received 14 in-home abstinence visits over 6 weeks. Voucher monetary value started at $10 and escalated by $2.50 for each subsequent negative sample (maximum earnings: $367.50). Positive samples earned no vouchers and reset voucher value to $10, but two negative samples following a positive allowed participants to continue earning vouchers at the prereset value. Primary outcome was point-prevalence smoking abstinence at Week 6 assessment. More participants assigned to UC + HBCM than UC were smoking abstinent at that Week 6 assessment (90% vs. 30%), χ²(1, N = 20) = 7.5, p < .01. These results provide initial evidence that HBCM can effectively promote smoking abstinence in CVD outpatients. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Mediating Effects of Neural Targets on Depression, Weight, and Anxiety Outcomes of an Integrated Collaborative Care Intervention: The ENGAGE-2 Mechanistic Pilot Randomized Clinical Trial.

Background: Integrated treatments for comorbid depression (often with anxiety) and obesity are lacking; mechanisms are poorly investigated. Methods: In a mechanistic pilot trial, adults with body mass index ≥30 and Patient Health Questionnaire-9 scores ≥10 were randomized to usual care (n = 35) or an integrated behavioral intervention (n = 71). Changes at 6 months in body mass index and Depression Symptom Checklist-20 scores were co-primary outcomes, and Generalized Anxiety Disorder Scale-7 score was a secondary outcome. Changes at 2 months in the activation and functional connectivity of regions of interest in the negative affect circuit were primary neural targets, and secondary targets were in the cognitive control, default mode, and positive affect circuits. Results: Participants were 47.0 years (SD = 11.9 years), 76% women, 55% Black, and 20% Latino. Depression Symptom Checklist-20 (between-group difference, -0.3 [95% CI: -0.6 to -0.1]) and Generalized Anxiety Disorder Scale-7 (-2.9 [-4.7 to -1.1]) scores, but not body mass index, decreased significantly at 6 months in the intervention versus usual care groups. Only Generalized Anxiety Disorder Scale-7 score changes at 6 months significantly correlated with neural target changes at 2 months in the negative affect (anterior insula, subgenual/pregenual anterior cingulate cortex, amygdala) and cognitive control circuits (dorsal lateral prefrontal cortex, dorsal anterior cingulate cortex). Effects were medium to large (0.41-1.18 SDs). Neural target changes at 2 months in the cognitive control circuit only differed by treatment group. Effects were medium (0.58-0.79 SDs). Conclusions: Compared with usual care, the study intervention led to significantly improved depression but not weight loss, and the results on neural targets were null for both outcomes. The significant intervention effect on anxiety might be mediated through changes in the cognitive control circuit, but this warrants replication.

Iterative Design, Feasibility, and Preliminary Efficacy Testing for the Development of a Cooperative Card Game Intervention to Reduce Loneliness and Foster Social Connection.

Objective: To present the design, development, and pilot testing of Connections, an empirically derived cooperative card game intervention to reduce loneliness and enhance connection. Materials and Methods: Theory and empirical evidence from domains such as self-disclosure, interpersonal closeness, and serious games informed the design of this game. Iterative design was used to develop the intervention, followed by feasibility and preliminary efficacy pilot testing. Results: Pilot testing showed that participants felt confident playing the game and found Connections to be enjoyable, interesting, and helpful in building connections with others, and would recommend the game to others. Preliminary evaluation found statistically significant benefits across multiple domains after playing the game. Participants reported decreases in loneliness, depressed mood, and anxiousness (ps < 0.02). Additionally, participants reported increases in looking forward to forming new connections with others in the future, the degree to which they felt like opening up and talking to others, and the amount they felt like they had in common with others (ps < 0.05). Conclusion: Pilot testing of Connections demonstrated feasibility and preliminary impact among a community sample. Future development plans include minor revisions to the game instructions followed by more rigorous testing of the feasibility, usability, and efficacy of Connections among various settings and populations, with large samples and controlled trials.

Between-Person and Daily Within-Person Variation Patterns in Measures of Views of Aging.

OBJECTIVES: Recent work suggests that views of aging (VOA; a meta-construct reflective of individuals' aging-related thoughts, beliefs, feelings, and experiences) fluctuate within persons in day-to-day life. This study characterized the extent of daily variability in VOA and explored differences in variability patterns based on measure to enhance understanding of the dynamic nature of VOA. METHODS: An online sample of 122 adults aged 26-78 years completed multiple measures of VOA (subjective age, age group identity, aging attitudes, implicit theories of aging, awareness of age-related losses or gains) on each of 7 consecutive days. We partitioned variance in responses to each measure at the person level and day level to assess between-person and within-person variability, respectively. RESULTS: Between-person variability accounted for most of the total observed variation in VOA, whereas within-person variability accounted for a smaller amount. Different measures exhibited different ratios of between-person to within-person variation, with the lowest ratios observed for subjective age. Exploration of potential differences between age groups also suggests lower ratios in younger compared to older adults. DISCUSSION: Analyses suggest relative stability in daily measures of VOA over a 1-week period. Further study of measures (and age groups) showing greater within-person variability (evidenced by lower ratios of between-person to within-person variation) can increase understanding about constructs with greater sensitivity to fluctuating contexts. It can also inform future work linking VOA to other phenomenon in daily life.

Baseline protective behavioral strategy use predicts more moderate transdermal alcohol concentration dynamics and fewer negative consequences of drinking in young adults' natural settings.

OBJECTIVE: Test whether frequent protective behavioral strategies (PBS) users report (a) fewer alcohol-related consequences and (b) less risky alcohol intoxication dynamics (measured via transdermal alcohol concentration [TAC] sensor "features") in daily life. METHOD: Two hundred twenty-two frequently heavy-drinking young adults (Mage = 22.3 years) wore TAC sensors for 6 consecutive days. TAC features peak (maximum TAC), rise rate (speed of TAC increase), and area under the curve (AUC) were derived for each day. Negative alcohol-related consequences were measured in the morning after each self-reported drinking day. Past-year PBS use was measured at baseline. RESULTS: Young adults reporting more frequent baseline PBS use showed (a) fewer alcohol-related consequences and (b) lower intoxication dynamics on average (less AUC, lower peaks, and slower rise rates). Limiting/stopping and manner of drinking PBS showed the same pattern of findings as the total score. Serious harm reduction PBS predicted fewer negative alcohol-related consequences, but not TAC features. Multilevel path models showed that TAC features peak and rise rate partially explained associations between PBS (total, limiting/stopping, and manner of drinking) and consequences. Independent contributions of PBS subscales were small and nonsignificant, suggesting that total PBS use was a more important predictor of risk/protection than the specific types of PBS used. CONCLUSIONS: Young adults using more total PBS may experience fewer alcohol-related consequences during real-world drinking episodes in part through less risky intoxication dynamics (TAC features). Future research measuring PBS at the daily level is needed to formally test TAC features as day-level mechanisms of protection from acute alcohol-related consequences. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Effects of a virtual voice-based coach delivering problem-solving treatment on emotional distress and brain function: a pilot RCT in depression and anxiety.

Consumer-based voice assistants have the ability to deliver evidence-based treatment, but their therapeutic potential is largely unknown. In a pilot trial of a virtual voice-based coach, Lumen, delivering problem-solving treatment, adults with mild-to-moderate depression and/or anxiety were randomized to the Lumen intervention (n = 42) or waitlist control (n = 21). The main outcomes included changes in neural measures of emotional reactivity and cognitive control, and Hospital Anxiety and Depression Scale [HADS] symptom scores over 16 weeks. Participants were 37.8 years (SD = 12.4), 68% women, 25% Black, 24% Latino, and 11% Asian. Activation of the right dlPFC (neural region of interest in cognitive control) decreased in the intervention group but increased in the control group, with an effect size meeting the prespecified threshold for a meaningful effect (Cohen's d = 0.3). Between-group differences in the change in activation of the left dlPFC and bilateral amygdala were observed, but were of smaller magnitude (d = 0.2). Change in right dlPFC activation was also meaningfully associated (r ≥ 0.4) with changes in self-reported problem-solving ability and avoidance in the intervention. Lumen intervention also led to decreased HADS depression, anxiety, and overall psychological distress scores, with medium effect sizes (Cohen's d = 0.49, 0.51, and 0.55, respectively), compared with the waitlist control group. This pilot trial showed promising effects of a novel digital mental health intervention on cognitive control using neuroimaging and depression and anxiety symptoms, providing foundational evidence for a future confirmatory study.

Cost-effectiveness of Lifestyle Africa: an adaptation of the diabetes prevention programme for delivery by community health workers in urban South Africa.

BACKGROUND: Lifestyle Africa is an adapted version of the Diabetes Prevention Program designed for delivery by community health workers to socioeconomically disadvantaged populations in low- and middle-income countries (LMICs). Results from the Lifestyle Africa trial conducted in an under-resourced community in South Africa indicated that the programme had a significant effect on reducing haemoglobin A1c (HbA1c). OBJECTIVE: To estimate the cost of implementation and the cost-effectiveness (in cost per point reduction in HbA1c) of the Lifestyle Africa programme to inform decision-makers of the resources required and the value of this intervention. METHODS: Interviews were held with project administrators to identify the activities and resources required to implement the intervention. A direct-measure micro-costing approach was used to determine the number of units and unit cost for each resource. The incremental cost per one point improvement in HbA1c was calculated. RESULTS: The intervention equated to 71 United States dollars (USD) in implementation costs per participant and a 0.26 improvement in HbA1c per participant. CONCLUSIONS: Lifestyle Africa reduced HbA1c for relatively little cost and holds promise for addressing chronic disease in LMIC. Decision-makers should consider the comparative clinical effectiveness and cost-effectiveness of this intervention when making resource allocation decisions. TRIAL REGISTRATION: Trial registration is at ClinicalTrials.gov (NCT03342274).

Shedding light on participant selection bias in Ecological Momentary Assessment (EMA) studies: Findings from an internet panel study.

Although the potential for participant selection bias is readily acknowledged in the momentary data collection literature, very little is known about uptake rates in these studies or about differences in the people that participate versus those who do not. This study analyzed data from an existing Internet panel of older people (age 50 and greater) who were offered participation into a momentary study (n = 3,169), which made it possible to compute uptake and to compare many characteristics of participation status. Momentary studies present participants with brief surveys multiple times a day over several days; these surveys ask about immediate or recent experiences. A 29.1% uptake rate was observed when all respondents were considered, whereas a 39.2% uptake rate was found when individuals who did not have eligible smartphones (necessary for ambulatory data collection) were eliminated from the analyses. Taking into account the participation rate for being in this Internet panel, we estimate uptake rates for the general population to be about 5%. A consistent pattern of differences emerged between those who accepted the invitation to participate versus those who did not (in univariate analyses): participants were more likely to be female, younger, have higher income, have higher levels of education, rate their health as better, be employed, not be retired, not be disabled, have better self-rated computer skills, and to have participated in more prior Internet surveys (all p < .0026). Many variables were not associated with uptake including race, big five personality scores, and subjective well-being. For several of the predictors, the magnitude of the effects on uptake was substantial. These results indicate the possibility that, depending upon the associations being investigated, person selection bias could be present in momentary data collection studies.

Testing the efficacy of real-time fMRI neurofeedback for training people who smoke daily to upregulate neural responses to nondrug rewards.

Although the use of nondrug rewards (e.g., money) to facilitate smoking cessation is widespread, recent research has found that such rewards may be least effective when people who smoke cigarettes are tempted to do so. Specifically, among people who smoke, the neural response to nondrug rewards appears blunted when access to cigarettes is anticipated, and this blunting is linked to a decrease in willingness to refrain from smoking to earn a monetary incentive. Accordingly, methods to enhance the value of nondrug rewards may be theoretically and clinically important. The current proof-of-concept study tested if real-time fMRI neurofeedback training augments the ability to upregulate responses in reward-related brain areas relative to a no-feedback control condition in people who smoke. Adults (n = 44, age range = 20-44) who reported smoking >5 cigarettes per day completed the study. Those in the intervention group (n = 22, 5 females) were trained to upregulate brain responses using feedback of ongoing striatal activity (i.e., a dynamic "thermometer" that reflected ongoing changes of fMRI signal intensity in the striatum) in a single neurofeedback session with three training runs. The control group (n = 22, 5 females) underwent a nearly identical procedure but received no neurofeedback. Those who received neurofeedback training demonstrated significantly greater increases in striatal BOLD activation while attempting to think about something rewarding compared to controls, but this effect was present only during the first training run. Future neurofeedback research with those who smoke should explore how to make neurofeedback training more effective for the self-regulation of reward-related brain activities.

Mean affect and affect variability may interact to predict inflammation.

INTRODUCTION: Individuals with greater affect variability (i.e., moment-to-moment fluctuations possibly reflecting emotional dysregulation) are at risk for greater systemic inflammation, which is associated with cardiovascular disease. Some evidence suggests that affect variability is linked with poorer health indicators only among those with higher average levels of affect, particularly for positive affect (PA), and that associations may be non-linear. The present study sought to examine whether links between both PA and negative affect (NA) variability and inflammation are moderated by average level of affect. METHODS: Participants (N = 300, 50 % female, ages 21-70, 60 % non-Hispanic White, 19 % Hispanic, 15 % non-Hispanic Black) completed a lab assessment and provided a blood sample to measure systemic inflammation (i.e., TNF-α, IL-6, CRP). Affect was collected via a two-day ecological momentary assessment protocol where reports were collected about every 45-min during waking hours. Momentary affect ratings were averaged across both days (i.e., iM), separately for PA and NA, for each participant. Affect variability was calculated as the person-specific SD (i.e., iSD) of affect reports, separately for PA and NA. Linear and quadratic interactions were tested. Models included covariates for sex, race, and body mass index. RESULTS: There were significant interactions between NA iM and NA iSD predicting TNF-α (b = 6.54; p < 0.05) and between PA iM and PA iSD predicting IL-6 (b = 0.45; p < 0.05). Specifically, the association between these affect variability indicators and inflammatory markers were suggestive of a positive association among those with higher average affect but a negative association among those with lower average affect. There was no evidence of non-linear associations between affect and inflammation. DISCUSSION: Incorporating interactive effects between affect variability and average affect may be an important consideration in understanding affective-inflammatory associations.