Initial elevation bias in subjective reports

"Not Now, I Am Too Stressed": Stress and Physical Intimacy in Early Marriage

Stressful events can disrupt couples' emotional connection, yet prior research is mixed regarding whether stress also disrupts couples' physical intimacy. This study considered whether stress must reach a critical threshold before hindering couples' sexual activity and physical affection (i.e., a curvilinear association). Couples (N = 144 couples plus four additional wives) completed two 14-day daily diary tasks during the early years of marriage. Multilevel modeling revealed a within-person curvilinear association between daily stress and sexual activity. Contrary to expectations, the likelihood of sexual activity declined as stress increased from low to moderate, then leveled off as stress continued to increase. For physical affection, a linear effect emerged. On days of greater stress, women, but not men, reported less affection. Further analyses suggested that women's stress is more influential than men's stress for couple's physical intimacy. Findings highlight the nuanced ways in which stress is linked to a vital component of satisfying relationships.

Feasibility of a brief, in-patient coping and sleep intervention to reduce potentially preventable readmission of cardiac patients to hospital

Background

Psychological distress is prevalent amongst hospital in-patient and may predispose patients to potentially preventable readmissions after discharge. A particularly vulnerable group are patients with cardiac disorders. This study tested the feasibility of a brief cognitive behavioural therapy consisting of an in-hospital coping session and a post-discharge healthy sleep session.

Methods

Standardised questionnaire were used to assess sleep, coping/distress and wellbeing at baseline (pre-intervention) and one-month post-discharge (post-intervention). Treatment fidelity and acceptability were assessed at follow-up. Participants included 72 inpatients admitted with a cardiac disorder or reported to have a cardiac problem whilst in hospital from a single Australian public hospital.

Results

Most (83 %) participants found the intervention helpful/very helpful. At baseline prior to admission, almost half of participants (46 %) reported poor wellbeing, 19 % high levels of distress and poor coping, and 47 % sleeping less than 7 h per night. Following the intervention, 45 % of participants with poor wellbeing at baseline had reliable change in wellbeing at follow-up. Conversely, only 22 % of patients with high levels of coping/distress at baseline demonstrated improved coping/distress at follow-up suggesting smaller gains. On average a large 43 min gain in sleep duration was observed post-treatment in patients with poor sleep at baseline. Fourteen percent of participants were readmitted to hospital within 34-days of discharge.

Conclusions

The coping and sleep intervention was well received with positive outcomes in patients especially those reporting high levels of distress for sleep and to lesser extent coping and wellbeing. Future studies to assess the efficacy of the brief intervention at reducing hospital readmissions are needed.

Monthly correlates of longitudinal child mental health during the COVID-19 pandemic according to children and caregivers

Multiple reviews identify the broad, pervasive initial impact of the global COVID-19 pandemic on the mental health of children, who may be particularly vulnerable to long-term psychiatric sequelae of the ongoing pandemic. However, limited longitudinal research examines persistence of, or change in, children's distress or psychiatric symptomatology. From June 2020 through December 2021, we enrolled two cohorts of families of children aged 8-13 from Southwestern Ontario into a staggered baseline, longitudinal design that leveraged multi-informant report (N = 317 families). In each family, one child and one parent/guardian completed a baseline assessment, 6 monthly follow-up assessments, and one final follow-up assessment 9 months post-baseline. At each assessment, the child and parent/guardian completed the CoRonavIruS health Impact Survey and measures of child anxiety, depressive, irritability, and posttraumatic stress syndromes. Children's mental health, indexed by the severity of multiple syndromes, fluctuated over the study period. Elevated local monthly COVID-19 prevalence, hospitalization, and death rates were associated with monthly elevations in children's reported worry about contracting COVID-19 and stress related to stay-at-home orders. In turn, both elevated monthly worry about contracting COVID-19 and stress related to stay-at-home orders were associated with monthly elevations in child- and parent-/guardian-report of children's emotional distress and psychiatric syndromes. This study illustrates the importance of, and informs the potential design of, longitudinal research to track the mental health of children, who may be particularly vulnerable to broad psychosocial sequelae of health crises such as the COVID-19 pandemic.

The psychological and physiological effects of integrated cognitive-behavioral and biofeedback therapy on panic disorder: A randomized controlled trial

BACKGROUND

Cognitive-behavioral therapy (CBT) and biofeedback therapy are commonly regarded as effective treatment modalities for panic disorder. The aim of this study was to establish a Taiwanese version of an integrated cognitive-behavioral and biofeedback therapy (ICB) and examine its effects on panic disorder using psychological and physiological indicators.

METHODS

Thirty patients with panic disorder were enrolled in this study. They were randomly assigned to either the ICB group (n = 15) or the treatment as usual (TAU) group (n = 15). The intervention consisted of six sessions, conducted once a week. Psychological indicators were measured at baseline (prior to intervention), week 3, and week 6, while physiological indicators were measured at baseline and week 6. The psychological indicators included five scales, with the Panic Disorder Severity Scale (PDSS) being the primary measure. The physiological indicators included respiratory sinus arrhythmia (RSA) and skin conductance, which respectively represent parasympathetic and sympathetic activity.

RESULTS

Considering all participants, PDSS scores significantly decreased over time, but the difference between the ICB and TAU groups did not reach statistical significance. Among the physiological indicators, resting-state RSA and RSA under relaxation showed significant between-group differences over time, with the ICB group demonstrating a more pronounced improvement in RSA.

CONCLUSION

In the context of existing pharmacological treatments, the benefits of ICB for panic disorder may not be observable through psychological indicators. However, it can lead to enhancement of parasympathetic activity as evidenced by the physiological indicators.

Religious Coping Is Differentially Associated with Physiological and Subjective Distress Indicators: Comparing Cortisol and Self-Report Patterns

Use of religious coping in response to life stress is associated with improved mental and physical health outcomes. The aim of this study was to examine the influence of religious coping on conscious self-reported and non-conscious physiological stress responses to an acute, real-world stressor to better understand how this benefit may be conferred. This study examined the trajectory of subjective distress and cortisol patterns leading up to and following a stressful college exam using daily diary and ambulatory saliva samples, respectively (N students = 246). Religious coping was not significantly associated with subjective reports of distress. However, prior to the exam, greater use of religious coping was associated with an ostensibly more adaptive accelerated return to a cortisol baseline. This protective effect was no longer significant when the exam was over, suggesting that religious coping acts as a protective buffer against physiological stress responses rather than aiding in subjective recovery from stress.

Real-time monitoring of increases in restlessness to assess idiographic risk of recurrence of depressive symptoms

BACKGROUND

This confirmatory study aimed to examine whether we can foresee recurrence of depressive symptoms using personalized modeling of rises in restlessness.

METHODS

Participants were formerly depressed patients (N = 41) in remission who (gradually) discontinued antidepressants. Participants completed five smartphone-based Ecological Momentary Assessments (EMA) a day, for a period of 4 months, yielding a total of 21 180 observations. Statistical Process Control by means of Exponentially Weighted Moving Average (EWMA) control charts was used to detect rises in the EMA item 'I feel restless', for each individual separately.

RESULTS

An increase in restlessness was detected in 68.3% of the participants with recurring depressive symptoms, and in 26.3% of those who stayed in remission (Fisher's exact test p = 0.01, sensitivity was 68.3%, specificity was 73.7%). In the participants with a recurrence and an increase in restlessness, this increase could be detected in the prodromal phase of depression in 93.3% of the cases and at least a month before the onset of the core symptoms of depression in 66.7% of the cases.

CONCLUSIONS

Restlessness is a common prodromal symptom of depression. The sensitivity and specificity of the EWMA charts was at least as good as prognostic models based on cross-sectional patient characteristics. An advantage of the current idiographic method is that the EWMA charts provide real-time personalized insight in a within-person increase in early signs of depression, which is key to alert the right patient at the right time.

Gratitude intersects with affect as a boundary condition for daily satisfaction: An affective dynamics perspective

This study is based on the affective events theory to investigate the situational predictors for gratitude-related differences in daily affect and satisfaction. We tested a moderated mediation model in which daily microevents (daily hassles and uplifts) were related to satisfaction through affect, at the within-person level. We also tested the cross-level interaction of gratitude on this indirect relationship. A total of 195 participants participated in a 5-day diary study (195 * 5 = 975 measurement occasions). Multilevel modeling showed that, at the person-level of analysis, daily microevents were significantly related to daily affect and, in turn, to daily satisfaction. At the daily level of analysis, trait-based gratitude moderated the mediation of daily positive affect on the relationship between daily uplifts and daily satisfaction, such that it become stronger for individuals who scored lower on gratitude, but gratitude did not moderate the relationship between daily hassles, negative affect, and satisfaction. These findings make relevant theoretical contributions to understanding the power of gratitude for daily affective dynamics. These results also expand knowledge on within-person processes that explain daily affect and satisfaction, in addition to more traditional between-person factors. In sum, the present research demonstrates that "being grateful" may be associated with being happy and that individuals who are less grateful need to experience more daily uplifts and positive affect to feel satisfied.

Cannabis craving in response to alcohol cues among adolescents and young adults in the laboratory and in daily life

Cannabis use among adolescents and young adults who drink alcohol is prevalent and relates to poorer clinical outcomes. Interrelated factors, such as cross-reactivity to alcohol cues, may contribute to the high prevalence of cannabis use among young persons who drink alcohol. We tested whether systematic presentation of alcohol cues in the laboratory and naturalistic presence of alcohol cues in daily life elicit cannabis craving. Data were compiled from two clinical trials. Participants (N = 54) were adolescents and young adults ages 15-24 who reported consuming alcohol at least twice per week, expressed interest in reducing alcohol use, and reported lifetime cannabis use. Participants provided laboratory and daily-life smartphone report data prior to randomization to treatment conditions in the parent trials. Mixed-effect models tested a priori hypotheses, which received mixed support. Cannabis craving was not heightened following alcohol-cue presentation in the laboratory but was elevated in daily life when alcohol cues were visible. The effect of laboratory alcohol cues was moderated by cannabis use frequency, with higher frequencies associated with greater cannabis craving, while the effect of daily-life alcohol cues on cannabis craving was not moderated by cannabis use frequency. Finally, alcohol cue-induced cannabis craving in the laboratory was associated with greater daily-life cannabis craving, irrespective of the presence of naturalistic alcohol cues. Overall, exposure to alcohol cues in daily life may flag situations with increased risk of cannabis craving, supporting the idea of cross cue reactivity and implicating naturalistic alcohol cues as an intervention target for individuals who co-use alcohol and cannabis. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Ecological Momentary Assessment: A Meta-Analysis on Designs, Samples, and Compliance Across Research Fields

Ecological Momentary Assessments (i.e., EMA, repeated assessments in daily life) are widespread in many fields of psychology and related disciplines. Yet, little knowledge exists on how differences in study designs and samples predict study compliance and dropout-two central parameters of data quality in (micro-)longitudinal research. The current meta-analysis included k = 477 articles (496 samples, total N = 677,536). For each article, we coded the design, sample characteristics, compliance, and dropout rate. The results showed that on average EMA studies scheduled six assessments per day, lasted for 7 days, and obtained a compliance of 79%. Studies with more assessments per day scheduled fewer assessment days, yet, the number of assessments did not predict compliance or dropout rates. Compliance was significantly higher in studies providing financial incentives. Otherwise, design or sample characteristics had little effects. We discuss the implications of the findings for planning, reporting, and reviewing EMA studies.

Factor structure of the Young Positive Schema Questionnaire in an eating disorder sample

PURPOSE

The Young Positive Schema Questionnaire (YPSQ) measures early adaptive schemas (EAS) which could be used to develop positive psychology and schema-based interventions to benefit the treatment of eating disorders (EDs).

METHODS

The present study investigated the factor structure of the YPSQ in a sample of 826 participants (18-73 years; n = 753 women) with ED symptomatology (e.g., restricting, binging, and purging). The sample was randomly split into two groups for exploratory and confirmatory factor analyses. Full sample analysis using Pearson correlations was conducted to explore convergent validity of the new YSPQ factor structure with ED symptomatology, emotional regulation, and cognitive flexibility.

RESULTS

A nine-factor model was found, demonstrating good fit indices and internal consistency (α = 0.77-0.92). The YPSQ showed an inverse relationship to ED symptomatology and emotional suppression, and a positive relationship with cognitive flexibility and emotion reappraisal.

CONCLUSION

Further research is needed to explore the clinical benefits of the YPSQ to identify EAS deficits in individuals with EDs to improve treatment outcomes.

LEVEL OF EVIDENCE

Level V, descriptive study.

The role of opioid transmission in music-induced pleasure

Studies conducted in rodents indicate a crucial role of the opioid circuit in mediating objective hedonic reactions to primary rewards. However, it remains unclear whether opioid transmission is also essential to experience pleasure with more abstract rewards, such as music. We addressed this question using a double-blind within-subject pharmacological design in which opioid levels were up- and downregulated by administering an opioid agonist (oxycodone) and antagonist (naltrexone), respectively, before healthy participants (n = 21) listened to music. Participants also performed a monetary incentive delay (MID) task to control for the effectiveness of the treatment and the specificity of the effects. Our results revealed that the pharmacological intervention did not modulate subjective reports of pleasure, nor the occurrence of chills. On the contrary, psychophysiological (objective) measures of emotional arousal, such as skin conductance responses (SCRs), were bidirectionally modulated in both the music and MID tasks. This modulation specifically occurred during reward consumption, with greater pleasure-related SCR following oxycodone than naltrexone. These findings indicate that opioid transmission does not modulate subjective evaluations but rather affects objective reward-related psychophysiological responses. These findings raise new caveats about the role of the opioidergic system in the modulation of pleasure for more abstract or cognitive forms of rewarding experiences, such as music.

Unleashing the Furr-Recovery Method: Interacting with Pets in Teleworking Replenishes the Self's Regulatory Resources: Evidence from a Daily-Diary Study

This study is based on the conservation of resources theory and the recovery step model in order to further explore the furr-recovery method-a mechanism through which workers break their routine by taking micro-moments to interact with their "furry co-workers," thus relieving their fatigue and tension or other negative affective states. Based on this, we argue that this method not only serves the purpose of restoring self-regulatory resources but also ameliorates mental health. Accordingly, this study aims to analyze how daily human-animal interactions during teleworking positively influence teleworkers' mental health, via recovering their self-regulatory resources, at the within-person level. Full-time teleworkers completed multiple online surveys for 5 consecutive workdays (N = 211 × 5 = 1055 daily observations). Multilevel path analysis results showed that on days on which employees had more micro-moments to interact with their "furry co-workers" during the day, they experienced a higher self-regulatory capacity and felt better while working. In sum, the findings give support for the theoretical resource perspective of interacting with pets as an effective energy management strategy while at work. This research extends the theoretical understanding of regulatory resources as a cognitive mechanism that links HAIs to employee mental health. Moreover, the findings outlined here offer practical implications by highlighting the furr-recovery method, a method that teleworkers who own pets may use as a strategy during the working day to restore resources needed to be healthier.

Applying multiverse analysis to experience sampling data: Investigating whether preprocessing choices affect robustness of conclusions

The experience sampling method (ESM) has revolutionized our ability to conduct psychological research in the natural environment. However, researchers have a large degree of freedom when preprocessing ESM data, which may hinder scientific progress. This study illustrates the use of multiverse analyses regarding preprocessing choices related to data exclusion (i.e., based on various levels of compliance and exclusion of the first assessment day) and the calculation of constructs (i.e., composite scores calculated as the mean, median, or mode) by reanalyzing established group differences in negative affect, stress reactivity, and emotional inertia between individuals with and without psychosis. Data came from five studies and included 233 individuals with psychosis and 223 healthy individuals (in total, 26,892 longitudinal assessments). Preprocessing choices related to data exclusion did not affect conclusions. For both stress reactivity and emotional inertia of negative affect, group differences were affected when negative affect was calculated as the mean compared to the median or mode. Further analyses revealed that this could be attributed to considerable differences in the within- and between-factor structure of negative affect. While these findings show that observed differences in affective processes between individuals with and without psychosis are robust to preprocessing choices related to data exclusion, we found disagreement in conclusions between different central tendency measures. Safeguarding the validity of future experience sampling research, scholars are advised to use multiverse analysis to evaluate the robustness of their conclusions across different preprocessing scenarios.

Infraslow closed-loop brain training for anxiety and depression (ISAD): a protocol for a randomized, double-blind, sham-controlled pilot trial in adult females with internalizing disorders

Background

The core intrinsic connectivity networks (core-ICNs), encompassing the default-mode network (DMN), salience network (SN) and central executive network (CEN), have been shown to be dysfunctional in individuals with internalizing disorders (IDs, e.g. major depressive disorder, MDD; generalized anxiety disorder, GAD; social anxiety disorder, SOC). As such, source-localized, closed-loop brain training of electrophysiological signals, also known as standardized low-resolution electromagnetic tomography (sLORETA) neurofeedback (NFB), targeting key cortical nodes within these networks has the potential to reduce symptoms associated with IDs and restore normal core ICN function. We intend to conduct a randomized, double-blind (participant and assessor), sham-controlled, parallel-group (3-arm) trial of sLORETA infraslow (<0.1 Hz) fluctuation neurofeedback (sLORETA ISF-NFB) 3 times per week over 4 weeks in participants (n=60) with IDs. Our primary objectives will be to examine patient-reported outcomes (PROs) and neurophysiological measures to (1) compare the potential effects of sham ISF-NFB to either genuine 1-region ISF-NFB or genuine 2-region ISF-NFB, and (2) assess for potential associations between changes in PRO scores and modifications of electroencephalographic (EEG) activity/connectivity within/between the trained regions of interest (ROIs). As part of an exploratory analysis, we will investigate the effects of additional training sessions and the potential for the potentiation of the effects over time.

Methods

We will randomly assign participants who meet the criteria for MDD, GAD, and/or SOC per the MINI (Mini International Neuropsychiatric Interview for DSM-5) to one of three groups: (1) 12 sessions of posterior cingulate cortex (PCC) ISF-NFB up-training (n=15), (2) 12 sessions of concurrent PCC ISF up-training and dorsal anterior cingulate cortex (dACC) ISF-NFB down-training (n=15), or (3) 6 sessions of yoked-sham training followed by 6 sessions genuine ISF-NFB (n=30). Transdiagnostic PROs (Hospital Anxiety and Depression Scale, HADS; Inventory of Depression and Anxiety Symptoms – Second Version, IDAS-II; Multidimensional Emotional Disorder Inventory, MEDI; Intolerance of Uncertainty Scale – Short Form, IUS-12; Repetitive Thinking Questionnaire, RTQ-10) as well as resting-state neurophysiological measures (full-band EEG and ECG) will be collected from all subjects during two baseline sessions (approximately 1 week apart) then at post 6 sessions, post 12 sessions, and follow-up (1 month later). We will employ Bayesian methods in R and advanced source-localisation software (i.e. exact low-resolution brain electromagnetic tomography; eLORETA) in our analysis.

Discussion

This protocol will outline the rationale and research methodology for a clinical pilot trial of sLORETA ISF-NFB targeting key nodes within the core-ICNs in a female ID population with the primary aims being to assess its potential efficacy via transdiagnostic PROs and relevant neurophysiological measures.

Trial registration

Our study was prospectively registered with the Australia New Zealand Clinical Trials Registry (ANZCTR; Trial ID: ACTRN12619001428156). Registered on October 15, 2019.

Trajectories of positive and negative affect across adolescence: Maternal history of depression and adolescent sex as predictors

BACKGROUND

Trajectories of affect vary across development, with normative increases in positive affect occurring during childhood and declines in positive affect appearing across adolescence. Little is known, however, about predictors of the trajectories of affect across adolescence. The present study examined associations between changes in adolescent affect across adolescence and maternal history of depression and child sex.

METHODS

Participants were 240 adolescents and their mothers; 185 mothers had a history of depression (i.e., high risk) and 55 mothers did not (i.e., low risk). Youth were assessed annually from 6th grade (meanage = 11.86 years, SD = 0.57, 54.2 % female, 82 % White) through 12th grade. Latent growth models tested the relation of maternal depression history and adolescent sex with trajectories of adolescent affect.

RESULTS

High-risk adolescents exhibited lower levels of PA as compared to low-risk youth (coefficient = -3.51, p = .008, 95 % CI [-6.11, -0.91]). Girls experienced earlier increases in negative affect (NA) as compared to boys, with more positive linear (coefficient = 2.07, p = .002, 95 % CI [0.774, 3.368]) and quadratic (coefficient = -0.29, p = .025, 95 % CI [-0.55, -0.04]) slopes.

LIMITATIONS

Use of self-report measures and limited generalizability.

CONCLUSION

Maternal depression significantly predicted decreases in offspring PA and distinct trajectories of NA in girls and boys. Interventions aimed at reducing risk in adolescent offspring of depressed parents may benefit from targeting PA and supporting girls in early adolescence.

Bias in Self-Reports: An Initial Elevation Phenomenon

Researchers have long worried about a phenomenon where study participants give higher ratings on self-report scales the first time they take a survey compared to subsequent times, particularly for negative subjective experiences. Recent experimental evidence, using samples of U.S. college students, suggests that this initial elevation phenomenon is due to an upward bias in people’s initial responses. Such bias potentially undermines the validity of many research findings. However, more recent studies have found little evidence in support of the phenomenon. To investigate the robustness of the initial elevation phenomenon, we conducted the largest experiments to date in diverse online samples ( N = 5,285 across three studies, from Prolific.co). We observed an initial elevation on self-reports of negative subjective experiences such as mood and mental and physical health symptoms. Our findings show that the threats to validity posed by the phenomenon are real and need to be reckoned with.

Mood and judgment in a dyadic stress context

The 1980s and 1990s witnessed a surge of psychological research addressing the role of affect in social judgments. Evaluations of others were shown to be shaped, at least in part, by a person's incidental mood in the moment of social evaluation; while negative moods instigated negative interpersonal evaluations, positive moods instigated positive interpersonal evaluations. Interestingly, these effects only emerged when the reason for the evaluator's mood was not obvious. Over 30 years later, we expand these findings to the dyadic domain. Rather than conceptualize interpersonal evaluations as occurring solely within an individual, we introduce the Dyadic Affect Infusion/Diffusion (DAID) model to suggest that interpersonal evaluations occur as fundamentally dyadic phenomena. Using 6 weeks of daily diary data from 311 couples in which one member approached a stressful event, we show that (a) mood influences relationship evaluations at both the intraindividual (i.e., affect infusion) and interindividual (i.e., affect diffusion) levels, (b) both affect infusion and affect diffusion are turned off by the availability of attributional information, and (c) these effects are better explained by affect infusion/diffusion rather than by several alternative mechanisms. Taken together, the DAID model bolsters the view that individualistic approaches to emotion and social cognition are insufficient and require theory and data at the dyadic and group levels of analysis. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Preliminary evidence for the factor structure, concurrent validity, and construct validity of the Roommate Relationship Scale in a college sample

Roommate relationships are fundamental to the social environment of many emerging adults. However, no validated, widely used, measure of roommate relationship quality exists for examining the impact of these relationships on individual functioning and health. In this report, we present preliminary evidence of the factor structure, concurrent validity, and construct validity of the Roommate Relationship Scale (RRS) as a measure of roommate relationship quality using a sample of U.S. college students who participated in a multi-wave study. An exploratory factor analysis at the first wave, and confirmatory factor analyses (CFAs) with independent samples of new participants at each of two subsequent waves showed stable factor loadings and adequate fit. Moreover, the scale demonstrated good fit and reliability in a longitudinal multilevel CFA framework. The RRS significantly positively correlated with relationship length, self-esteem, extraversion, agreeableness, and conscientiousness, and negatively correlated with symptoms of anxiety and avoidant attachment style, indicating concurrent validity of the scale with respect to these constructs. Consistent with findings from other relationship types, self-reported RRS scores decrease longitudinally, both across and between semesters of academic life, indicating construct validity of the scale. We conclude that the RRS is useful for evaluating roommate relationship quality among U.S. college students, and hopefully beyond. Further research should validate the scale's utility in other, more diverse, populations and refine its underlying generating psychological process.

Attachment insecurity moderates emotion responses to mindfulness and loving-kindness meditation in adults raised in low socioeconomic status households

Research on attachment theory holds that insecure attachment influences people's daily social and emotional experiences. Mindfulness meditation and loving-kindness meditation have been associated with improvements in physical and mental well-being often through their influence on emotion experience and regulation. Yet, little research has examined how emotional well-being may be improved in insecurely attached individuals through meditation practice. We suspected that the emotion profiles of anxious and avoidant attachment may shift with meditation training, both across time and on a particular day. Improving emotional well-being may be especially consequential for those most at risk for negative health outcomes in late life. A diverse community sample of midlife adults raised in low-SES homes (N = 113; 55% white, 87.5% female) completed daily emotion reports for 10 weeks, during which they received 6 weeks of meditation training, randomized to either loving-kindness or mindfulness meditation practice. Results from growth curve analyses revealed that individuals with greater attachment anxiety and randomized to mindfulness meditation reported significant increases over time in positive emotions alongside decreases in negative emotions. Those high in attachment avoidance reported significant decreases in negative emotions in both meditation groups. On the daily level, within-person dose-response analyses revealed that individuals with greater attachment anxiety showed the most consistent dose-response relations between the duration of either meditation practice and same-day increases in positive emotions and decreases in negative emotions. These findings highlight how meditation interventions can shift emotion profiles of insecurely attached midlife adults who are at heightened risk for late life chronic illnesses. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

I've been thinkin' bout you: socially distant relationship pursuit during COVID-19

The COVID-19 pandemic has radically altered everyday interactions, potentially disrupting the process of romantic relationship formation. Prior research suggests that threats to the basic psychological need for relatedness, along with negative mental imagery, can lead to an obsessive preoccupation with a romantic interest. The present research examines how the relatedness-threatening nature of the pandemic may similarly facilitate problematic relationship behaviors. Two studies-a small-scale natural experiment with measurements before and during the pandemic (Study 1) and a daily diary study (Study 2)-investigated how relatedness frustration and negative fantasies predict presumptuous romantic intentions. In Study 1 these threats unexpectedly corresponded to reduced presumptuous romantic intentions, though no such main effect was present in Study 2. Replicating prior experimental work, in both studies, more negative fantasies about a romantic target predicted greater presumptuous romantic intentions. Study 2 also revealed that at the between-person level the combinatory effect of relatedness frustration and negative fantasies led to greater intentions. At the within-person level, this combinatory effect led unexpectedly to reduced intentions. Finally, there was substantial heterogeneity in the within-person effect of COVID-induced relatedness frustration: although frustration stoked intentions for some individuals, for others it reduced intentions. This work suggests that for many, the early social ramifications of COVID-19 reduced motivation to presumptuously pursue romantic relationships. Yet, certain individuals, particularly those with more negative fantasies, are more prone to pursue presumptuously amidst the pandemic.

Healthy eating in daily life: the role of relative autonomous motivation when it is difficult

Most people try to eat healthy, but the temptation of unhealthy foods (among other factors) can make it difficult. Despite these difficulties, some people still achieve their healthy eating goals. Following self-determination theory (SDT; Ryan & Deci, 2000), we propose that relative autonomous motivation (RAM) can foster people’s effort in pursuing health goals. In two daily diary studies, we tested the hypothesis that RAM predicts attainment of healthy eating goals, especially when it is difficult. In Study 1, we focused on difficulties associated with trying to eat certain foods while avoiding others, whereas in Study 2, we focused on difficulties associated with the availability of unhealthy and healthy foods. Multilevel analyses provided some support our hypothesis, and highlighted the role of RAM for eating (vs. skipping) lunch and packing a lunch–two approach-based healthy eating strategies. We discuss these findings in relation to SDT and propose directions for future research on within-person changes in motivation and other sources of difficulty.

Relations between emotion regulation strategies and affect in daily life: A systematic review and meta-analysis of studies using ecological momentary assessments

Emotion regulation (ER) is a central target in the study of psychological and neurobiological processes of emotions for numerous psychological disorders. Ecological momentary assessments, overcoming retrospective self-reports, allow a better understanding of the relation between the use of ER strategies and daily life affective experiences. A systematic review and meta-analyses of studies testing these relations through experience sampling methods (ESM) and daily diaries were conducted. ESM studies showed significant large effect sizes in contemporaneous relations between negative affect (NA) and rumination, suppression, and worry, and in both contemporaneous and prospective relations between positive affect (PA) and reappraisal; medium effect sizes in prospective relations between NA and rumination, and PA and distraction; and a small effect size in the prospective relation between NA and suppression. Daily diary studies showed significant large effect sizes in contemporaneous relations between NA and rumination and suppression, and in both contemporaneous and prospective relations between PA and reappraisal; medium effect sizes in contemporaneous relations between PA and acceptance, and problem-solving; and a small effect size in the prospective relation between NA and reappraisal. These findings shed light on the temporal relations between the use of ER strategies and affective experiences and highlight conceptual and methodological limitations in the field.

Affective robots need therapy

Emotion researchers have begun to converge on the theory that emotions are psychologically and socially constructed. A common assumption in affective robotics is that emotions are categorical brain-body states that can be confidently modeled. But if emotions are constructed, then they are interpretive, ambiguous, and specific to an individual’s unique experience. Constructivist views of emotion poses several challenges to affective robotics: first, it calls into question the validity of attempting to obtain objective measures of emotion through rating scales or biometrics. Second, ambiguous subjective data poses a challenge to computational systems that need structured and definite data to operate. How can a constructivist view of emotion be rectified with these challenges?

In this paper, we look to psychotherapy for ontological, epistemic, and methodological guidance. These fields (1) already understand emotions to be intrinsically embodied, relative and metaphorical; and, (2) have built up substantial knowledge informed by everyday practice. We hope that by using interpretive methods inspired by therapeutic approaches, HRI researchers will be able to focus on the practicalities of designing effective embodied emotional interactions.

Some Recommendations on the Use of Daily Life Methods in Affective Science

Real-world emotions are often more vivid, personally meaningful, and consequential than those evoked in the lab. Therefore, studying emotions in daily life is essential to test theories, discover new phenomena, and understand healthy emotional functioning; in short, to move affective science forward. The past decades have seen a surge of research using daily diary, experience sampling, or ecological momentary assessment methods to study emotional phenomena in daily life. In this paper, we will share some of the insights we have gained from our collective experience applying such daily life methods to study everyday affective processes. We highlight what we see as important considerations and caveats involved in using these methods and formulate recommendations to improve their use in future research. These insights focus on the importance of (i) theory and hypothesis-testing; (ii) measurement; (iii) timescale; and (iv) context, when studying emotions in their natural habitat.

How do paramedics and student paramedics cope? A cross-sectional study

Despite threats to wellbeing inherent in paramedicine, little is known about how paramedics cope. This study explored the breadth of healthy and unhealthy coping strategies used by paramedics and student paramedics. A convenience sample of 198 paramedics and student paramedics completed an online survey. Wellbeing was measured using WHO-5 and coping using the Coping Index. Primary outcomes were summarised using descriptive statistics. Most of the sample had wellbeing (68%); student paramedics had significantly better wellbeing than paramedics. There was no significant difference between paramedics and student paramedics on healthy or unhealthy coping. Participants with ill-being had significantly fewer healthy and more unhealthy coping strategies than those with wellbeing, and relatively few used professional support (28%). Internationally, few studies have reported coping strategies in paramedics. This study expands our understanding of healthy and unhealthy coping strategies used by paramedics and student paramedics. The results support research that shows paramedic work affects wellbeing, however not that paramedics are at greater risk of unhealthy coping than students or the general population. The results have implications for both the prevention of overwhelming distress in the workplace and the need to increase the use of professional support to prevent unhealthy coping, including suicidality.

Little evidence for consistent initial elevation bias in self-reported momentary affect: A coordinated analysis of ecological momentary assessment studies

Response bias characterized by decreases in self-reported subjective states when measured repeatedly over short time-frames is a potential concern in social science. Recent work suggests that this initial elevation bias (IEB) is pronounced among young adult students' self-reports of affect when using ambulatory methods, but it is unclear if such bias extends broadly across samples, designs, and constructs. We examined the conditions wherein reliable and robust IEB may manifest by conducting a coordinated analysis of seven ecological momentary assessment (EMA) studies with diverse lifespan samples to test the generalizability of IEB across study designs and affective constructs (momentary negative and positive affect). Overall, evidence for substantial IEB across studies was weak. No reliable evidence emerged for IEB in negative affect, with evidence for a small magnitude IEB for positive affect when comparing initial reports with reports made 1 week later, although the latter was not evident in other comparisons and was attenuated to nonsignificance when controlling for temporal factors. The magnitude and direction of IEB varied, but in mostly nonsystematic ways, as a function of study design and affective valence. Meta-analytic summary revealed consistently low combined effect sizes (Cohen's ds ranging from -.05 to .14). We found little evidence that IEB in momentary affect is sufficiently reliable, robust, or generalizable across designs and constructs to pose broad and/or serious concerns for EMA studies. Nonetheless, we recommend systematically examining the potential for IEB across study designs and constructs to help identify the conditions/contexts where IEB may or may not manifest. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The Association of Self-Reported ADHD Symptoms and Sleep in Daily Life of a General Population Sample of School Children: An Inter- and Intraindividual Perspective

Sleep and Attention-Deficit/Hyperactivity Disorder (ADHD) have repeatedly been found to be associated with each other. However, the ecological validity of daily life studies to examine the effect of sleep on ADHD symptoms is rarely made use of. In an ambulatory assessment study with measurement burst design, consisting of three bursts (each 6 months apart) of 18 days each, 70 German schoolchildren aged 10–12 years reported on their sleep quality each morning and on their subjective ADHD symptom levels as well as their sleepiness three times a day. It was hypothesized that nightly sleep quality is negatively associated with ADHD symptoms on the inter- as well as the intraindividual level. Thus, we expected children who sleep better to report higher attention and self-regulation. Additionally, sleepiness during the day was hypothesized to be positively associated with ADHD symptoms on both levels, meaning that when children are sleepier, they experience more ADHD symptoms. No association of sleep quality and ADHD symptoms between or within participants was found in multilevel analyses; also, no connection was found between ADHD symptoms and daytime sleepiness on the interindividual level. Unexpectedly, a negative association was found on the intraindividual level for ADHD symptoms and daytime sleepiness, indicating that in moments when children are sleepier during the day, they experience less ADHD symptoms. Explorative analyses showed differential links of nightly sleep quality and daytime sleepiness, with the core symptoms of inattention and hyperactivity/impulsivity, respectively. Therefore, future analyses should take the factor structure of ADHD symptoms into account.

Effect of Mindfulness Versus Loving-kindness Training on Leukocyte Gene Expression in Midlife Adults Raised in Low-Socioeconomic Status Households

Objectives

People raised in low socio-economic status (SES) households are at an increased risk for physical illness in adulthood. A shift in gene expression profiles in the immune system is one biological mechanism thought to account for elevated disease susceptibility, with a frequently-investigated profile being the conserved transcriptional response to adversity (CTRA), characterized by increased expression of proinflammatory genes and decreased expression of antiviral and antibody-related genes.

Methods

The present study investigated, in a sample of at-risk midlife adults (N = 88), whether those randomized to learn loving-kindness meditation (LKM) in a 6-week workshop, would show a reduction in CTRA gene expression, compared to those randomized to learn mindfulness meditation (MM). We assessed emotions daily and hypothesized positive emotions to account for the expected effect of LKM on gene expression.

Results

Results showed significant group differences from pre- to post-intervention, yet in the opposite direction as hypothesized: Participants randomized to the MM group showed significant declines in CTRA gene expression, whereas those in the LKM group showed significant increases in CTRA gene expression. Both groups showed increases over the 6 weeks in daily reports of positive emotions, b=.007, p <.001 alongside decreases in negative emotions b=-.005, p <.001. Thus, positive emotions were not pursued as a candidate mediator of observed group effects.

Conclusion

This study is the first to examine whether the biological impact of childhood low-SES can be reversed in mid-life through meditation interventions. Results suggest mindfulness meditation may be a viable option for improving health outcomes in this at-risk population. Trial Registration: ClinicalTrials.gov NCT02400593.

Placebo effects and neuromodulation for depression: a meta-analysis and evaluation of shared mechanisms

There is growing evidence that placebo effects can meaningfully modulate the brain. However, there has been little consideration of whether these changes may overlap with regions/circuits targeted by depression treatments and what the implications of this overlap would be on measuring efficacy in placebo-controlled clinical trials. In this systematic review and meta-analysis, we searched PubMed/Medline and Google Scholar for functional MRI and PET neuroimaging studies of placebo effects. Studies recruiting both healthy subjects and patient populations were included. Neuroimaging coordinates were extracted and included for Activation Likelihood Estimation (ALE) meta-analysis. We then searched for interventional studies of transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS) for depression and extracted target coordinates for comparative spatial analysis with the placebo effects maps. Of 1169 articles identified, 34 neuroimaging studies of placebo effects were included. There were three significant clusters of activation: left dorsolateral prefrontal cortex (DLPFC) (x = -41, y = 16, z = 34), left sub-genual anterior cingulate cortex (sgACC)/ventral striatum (x = -8, y = 18, z = -15) and the right rostral anterior cingulate cortex (rACC) (x = 4, y = 42, z = 10). There were two significant deactivation clusters: right basal ganglia (x = 20, y = 2, z = 7) and right dorsal anterior cingulate cortex (dACC) (x = 1, y = -5, z = 45). TMS and DBS targets for depression treatment overlapped with the left DLPFC cluster and sgACC cluster, respectively. Our findings identify a common set of brain regions implicated in placebo effects across healthy individuals and patient populations, and provide evidence that these regions overlap with depression treatment targets. We model the statistical impacts of this overlap and demonstrate critical implications on measurements of clinical trial efficacy for this field.

Effect sizes and test-retest reliability of the fMRI-based neurologic pain signature

Identifying biomarkers that predict mental states with large effect sizes and high test-retest reliability is a growing priority for fMRI research. We examined a well-established multivariate brain measure that tracks pain induced by nociceptive input, the Neurologic Pain Signature (NPS). In N = 295 participants across eight studies, NPS responses showed a very large effect size in predicting within-person single-trial pain reports (d = 1.45) and medium effect size in predicting individual differences in pain reports (d = 0.49). The NPS showed excellent short-term (within-day) test-retest reliability (ICC = 0.84, with average 69.5 trials/person). Reliability scaled with the number of trials within-person, with ≥60 trials required for excellent test-retest reliability. Reliability was tested in two additional studies across 5-day (N = 29, ICC = 0.74, 30 trials/person) and 1-month (N = 40, ICC = 0.46, 5 trials/person) test-retest intervals. The combination of strong within-person correlations and only modest between-person correlations between the NPS and pain reports indicate that the two measures have different sources of between-person variance. The NPS is not a surrogate for individual differences in pain reports but can serve as a reliable measure of pain-related physiology and mechanistic target for interventions.

The psychological effects of COVID-19 spread in young Canadian adults

BACKGROUND AND AIM

The novel coronavirus disease 2019 (COVID-19) not only threatens physical health but also psychological well-being. As a result of the pandemic, increased mental health burdens have been recorded in young adults around the world. We sought to understand the association of stressors related to the COVID-19 pandemic with symptoms of psychological and emotional distress in young Canadian adults.

METHOD

Questionnaire respondents were asked about the extent to which they were personally impacted by COVID-19, and symptoms related to depression, anxiety, post-traumatic disorder, and emotional distress.

RESULTS

Of 84 respondents, most identified as female (74%; 62/84). Overall, 61% (51/84) reported experiencing symptoms of psychological distress related to depression, anxiety, or post-traumatic stress disorder (PTSD); specifically, 43% (36/84) reported anxiety-related symptoms, 33% (28/84) reported depression-related symptoms, and 6% (5/84) reported PTSD-related symptoms. Individuals with family in settings high risk for COVID-19 infection and individuals who received government aid with a reduction in income were 4.30-fold and 2.80-fold more likely, respectively, to experience symptoms of psychological distress (95% CI 1.31-14.14; p = .013 and 95% CI 1.08-7.25; p = .038, respectively). Visits to social media daily to hourly for COVID-19 related news resulted in a 3.24-fold increase in the likelihood of experiencing depression-related symptoms (95% CI 1.26-8.35; p = .020).

CONCLUSION

We demonstrate a necessity to focus on alleviating the mental health burdens and contributing stressors within young Canadian adults. Though the mental health burdens are currently exacerbated by the effects of the COVID-19 pandemic, they may persist after the pandemic ends if left unaddressed.

Psychopathological networks: Theory, methods and practice

In recent years, network approaches to psychopathology have sparked much debate and have had a significant impact on how mental disorders are perceived in the field of clinical psychology. However, there are many important challenges in moving from theory to empirical research and clinical practice and vice versa. Therefore, in this article, we bring together different points of view on psychological networks by methodologists and clinicians to give a critical overview on these challenges, and to present an agenda for addressing these challenges. In contrast to previous reviews, we especially focus on methodological issues related to temporal networks. This includes topics such as selecting and assessing the quality of the nodes in the network, distinguishing between- and within-person effects in networks, relating items that are measured at different time scales, and dealing with changes in network structures. These issues are not only important for researchers using network models on empirical data, but also for clinicians, who are increasingly likely to encounter (person-specific) networks in the consulting room.

Modeling Dyadic Trajectories: Longitudinal Changes in Sexual Satisfaction for Newlywed Couples

Using a longitudinal dataset of 117 married couples without children spanning the first three years of marriage, we investigated trajectories of sexual satisfaction for both spouses using a novel Dyadic Latent Growth Model approach that distinguishes the communal sexual experience and the systematic differences in experience between partners. It also recognizes that there may be systematic variation in trajectories over couples. We showed how this approach can be used to predict couple-level sexual experience from couple-level marital satisfaction shortly after marriage. Partners' sexual satisfaction was well represented at the dyadic level; there was a dyad-level decline in sexual satisfaction over the first three years of marriage, but also systematic variation around that average pattern. Level of dyadic marital satisfaction at Time 1 predicted the level of sexual satisfaction over three years, but not the systematic variation in the slope. Intra-dyad contrast of marital satisfaction at Time 1 predicted analogous contrasts of sexual satisfaction, but the strength of this association diminished over time. We discuss theoretical benefits of considering partners as couples rather than individuals.

Detecting Idiographic Personality Change

Personality changes across the lifespan, but strong evidence regarding the mechanisms responsible for personality change remains elusive. Studies of personality change and life events, for example, suggest that personality is difficult to change. But there are two key issues with assessing personality change. First, most change models optimize population-level, not individual-level, effects, which ignores heterogeneity in patterns of change. Second, optimizing change as mean-levels of self-reports fails to incorporate methods for assessing personality dynamics, such as using changes in variances of and correlations in multivariate time series data that often proceed changes in mean-levels, making variance change detection a promising technique for the study of change. Using a sample of N = 388 participants (total N = 21,790) assessed weekly over 60 weeks, we test a permutation-based approach for detecting individual-level personality changes in multivariate time series and compare the results to event-based methods for assessing change. We find that a non-trivial number of participants show change over the course of the year but that there was little association between these change points and life events they experienced. We conclude by highlighting the importance in idiographic and dynamic investigations of change.

Illness representations, coping and anxiety among men with localized prostate cancer over an 18-months period: A parallel vs. level-contrast mediation approach

OBJECTIVE

Men diagnosed with localized prostate cancer (lPCa) are confronted with the decision for a treatment strategy, potentially experiencing treatment side effects and psychological distress. The Common Sense Model proposes that coping with such challenges is related to illness representations: Beliefs regarding consequences, coherence, timeline, and controllability of the illness. We analyzed the interplay of illness representations, coping and anxiety over an 18-month period among men with lPCa undergoing different treatment options (Active Surveillance, curative treatment).

METHODS

In this longitudinal study, 183 men (age M = 66.83) answered a questionnaire before starting treatment, and 6, 12, and 18 months later. We analyzed time trajectories with growth curve modeling and conducted mediation analyses to evaluate the influence of coping on the association of illness representations and anxiety. Using a novel methodological approach, we compared a classic parallel mediation model with a level-contrast approach for the correlated mediators problem- and emotion-focused coping.

RESULTS

Independent of treatment (b = 1.31, p = 0.200) men reported an elevated level of anxiety after diagnosis which declined considerably within the following 6 months (b = -1.87, p = 0.009). The perceived seriousness of consequences was significantly associated with greater anxiety, at baseline (β = 0.471) and over time (all β ≥ 0.204). This association was mediated by coping: Using more emotion-than problem-focused coping was associated with higher anxiety.

CONCLUSIONS

Receiving a lPCa diagnosis is associated with a phase of increased anxiety. In order to reduce anxiety, information provision should be accompanied by developing concrete action plans to enable problem-focused coping strategies.

A cross-lagged panel model for testing the bidirectional relationship between depression and smartphone addiction and the influences of maladaptive metacognition on them in Chinese adolescents

AIMS

Despite the high prevalence of both depression and smartphone addiction among Chinese adolescents, research examining their bidirectional relationship has been limited. Moreover, longitudinal research regarding the influence of maladaptive metacognitive beliefs on smartphone addiction is scarce. This 6-month longitudinal study aimed to address these research gaps by testing a cross-lagged panel model of maladaptive metacognition, depression, and smartphone addiction.

METHODS

Four hundred and fifty-nine Chinese high school students voluntarily completed an anonymous questionnaire at baseline, and 313 of them (36.1% male; age = 14 to 18; M = 16.88, SD = 0.62) completed the same questionnaire at follow-up.

RESULTS

Positive correlations were shown among depression, smartphone addiction, and maladaptive metacognition at both waves (r = 0.16 to 0.57, p < .01). The results of the cross-lagged analysis demonstrated only the prospective effect of depression on smartphone addiction (β = 0.18, p < .001) but not vice versa. Moreover, maladaptive metacognition assessed at baseline significantly predicted subsequent depression (β = 0.14, p < .01) but not smartphone addiction (p>.05). Additional path analysis showed a significant indirect effect of baseline maladaptive metacognition (0.099 [95% CI = 0.042, 0.183]) on subsequent smartphone addiction, via depression.

CONCLUSIONS

Findings of this study showed that the relationship between depression and smartphone addiction was unidirectional rather than bidirectional among Chinese adolescents. Specifically, depression predicted smartphone addiction, while maladaptive metacognition predicted depression. Depression also mediated the relationship between maladaptive metacognition and smartphone addiction. The findings suggest that incorporating metacognition and depression interventions into smartphone addiction prevention designs for adolescents may be beneficial.

Reducing bias in trials from reactions to measurement: the MERIT study including developmental work and expert workshop

BACKGROUND

Measurement can affect the people being measured; for example, asking people to complete a questionnaire can result in changes in behaviour (the 'question-behaviour effect'). The usual methods of conduct and analysis of randomised controlled trials implicitly assume that the taking of measurements has no effect on research participants. Changes in measured behaviour and other outcomes due to measurement reactivity may therefore introduce bias in otherwise well-conducted randomised controlled trials, yielding incorrect estimates of intervention effects, including underestimates.

OBJECTIVES

The main objectives were (1) to promote awareness of how and where taking measurements can lead to bias and (2) to provide recommendations on how best to avoid or minimise bias due to measurement reactivity in randomised controlled trials of interventions to improve health.

METHODS

We conducted (1) a series of systematic and rapid reviews, (2) a Delphi study and (3) an expert workshop. A protocol paper was published [Miles LM, Elbourne D, Farmer A, Gulliford M, Locock L, McCambridge J, et al. Bias due to MEasurement Reactions In Trials to improve health (MERIT): protocol for research to develop MRC guidance. Trials 2018;19:653]. An updated systematic review examined whether or not measuring participants had an effect on participants' health-related behaviours relative to no-measurement controls. Three new rapid systematic reviews were conducted to identify (1) existing guidance on measurement reactivity, (2) existing systematic reviews of studies that have quantified the effects of measurement on outcomes relating to behaviour and affective outcomes and (3) experimental studies that have investigated the effects of exposure to objective measurements of behaviour on health-related behaviour. The views of 40 experts defined the scope of the recommendations in two waves of data collection during the Delphi procedure. A workshop aimed to produce a set of recommendations that were formed in discussion in groups.

RESULTS

Systematic reviews - we identified a total of 43 studies that compared interview or questionnaire measurement with no measurement and these had an overall small effect (standardised mean difference 0.06, 95% confidence interval 0.02 to 0.09; n = 104,096, I² = 54%). The three rapid systematic reviews identified no existing guidance on measurement reactivity, but we did identify five systematic reviews that quantified the effects of measurement on outcomes (all focused on the question-behaviour effect, with all standardised mean differences in the range of 0.09-0.28) and 16 studies that examined reactive effects of objective measurement of behaviour, with most evidence of reactivity of small effect and short duration. Delphi procedure - substantial agreement was reached on the scope of the present recommendations. Workshop - 14 recommendations and three main aims were produced. The aims were to identify whether or not bias is likely to be a problem for a trial, to decide whether or not to collect further quantitative or qualitative data to inform decisions about if bias is likely to be a problem, and to identify how to design trials to minimise the likelihood of this bias.

LIMITATION

The main limitation was the shortage of high-quality evidence regarding the extent of measurement reactivity, with some notable exceptions, and the circumstances that are likely to bring it about.

CONCLUSION

We hope that these recommendations will be used to develop new trials that are less likely to be at risk of bias.

FUTURE WORK

The greatest need is to increase the number of high-quality primary studies regarding the extent of measurement reactivity.

STUDY REGISTRATION

The first systematic review in this study is registered as PROSPERO CRD42018102511.

FUNDING

Funded by the Medical Research Council UK and the National Institute for Health Research as part of the Medical Research Council-National Institute for Health Research Methodology Research Programme.

Methodological and conceptual complexities of assessing relationships between single-occasion CRP inflammation and daily affect

Inflammation is commonly implicated in sustained levels of depressed mood, chiefly with concurrent measures. There is a dearth of research on understanding how mood-inflammation relationships change on a day-to-day timescale. Determining how inflammation and mood may fluctuate and interact with each other is imperative to determining which pathways may lead to a depressed mood due to inflammation, and, more broadly, which factors induce inflammation in the first place. Therefore, we explored a means of elucidating the nature of mood-inflammation relationships using daily measures of mood and a single time-point measure of inflammation, C-Reactive Protein (CRP). We predicted that the relationship between affect and this measure of inflammation would be time-invariant because of evidence suggesting factors contributing to inflammation are persistent over time, such as obesity or poor gut-microbiome health. Our sample consisted of 1397 young adult participants who completed daily surveys for thirteen days and provided a blood sample for CRP measurement once at the conclusion of the study. A Bayesian multivariate regression model was performed to determine how daily levels of positive and negative mood could be predicted by this single time-point measure of inflammation. As part of our analysis, we sought to control for two key moderators, BMI and physical activity. Results indicated that moderate levels of inflammation were not associated with poor mood when the individual exercised. We also determined that high BMI participants exhibited a greater impact of inflammation on their mood relative to low BMI participants. However, contrary to our primary prediction that this mood-inflammation relationship would be time-invariant, we did indeed find that the relationship was time-variant. This result indicated that research examining associations involving inflammation daily will be required to understand which causative factors may contribute to fluctuations of a mood-inflammation relationship on a daily basis.

A Portable Biodevice to Monitor Salivary Conductivity for the Rapid Assessment of Fluid Status

The evaluation of fluid status can save adults from life-threatening conditions, but the current methods are invasive or time-consuming. Therefore, we developed a portable device for measuring salivary conductivity. This prospective observational study enrolled 20 volunteers with no history of systemic diseases. Participants were observed for 13 h, including water restriction for 12 h followed by rehydration with 1000 mL water within 1 h. Serum and urine biomarkers for fluid status, thirst scales, and salivary conductivity were collected during dehydration and rehydration. No significant differences in age, body mass index, glycohemoglobin, and estimated glomerular filtration rate were noted between sexes. Salivary conductivity increased after water restriction and decreased after rehydration. Similarly, urine osmolality, urine specific gravity, thirst intensity scales, and body weight followed the same trend and were statistically significant. The angiotensin-converting enzyme and aldosterone levels showed the same trend, without reaching statistical significance. The red blood cell count and hemoglobin concentration also followed the same trend. Analyzing the receiver operating characteristic curves, the area under the curve was 0.707 (95% confidence interval 0.542–0.873, p = 0.025). Using the Youden index, the optimal cutoff determined as 2678.09 μs/cm (sensitivity: 90%, specificity: 55%). This biodevice effectively screened dehydration among healthy adults.

The value of Bayesian predictive projection for variable selection: an example of selecting lifestyle predictors of young adult well-being

BACKGROUND

Variable selection is an important issue in many fields such as public health and psychology. Researchers often gather data on many variables of interest and then are faced with two challenging goals: building an accurate model with few predictors, and making probabilistic statements (inference) about this model. Unfortunately, it is currently difficult to attain these goals with the two most popular methods for variable selection methods: stepwise selection and LASSO. The aim of the present study was to demonstrate the use predictive projection feature selection - a novel Bayesian variable selection method that delivers both predictive power and inference. We apply predictive projection to a sample of New Zealand young adults, use it to build a compact model for predicting well-being, and compare it to other variable selection methods.

METHODS

The sample consisted of 791 young adults (ages 18 to 25, 71.7% female) living in Dunedin, New Zealand who had taken part in the Daily Life Study in 2013-2014. Participants completed a 13-day online daily diary assessment of their well-being and a range of lifestyle variables (e.g., sleep, physical activity, diet variables). The participants' diary data was averaged across days and analyzed cross-sectionally to identify predictors of average flourishing. Predictive projection was used to select as few predictors as necessary to approximate the predictive accuracy of a reference model with all 28 predictors. Predictive projection was also compared to other variable selection methods, including stepwise selection and LASSO.

RESULTS

Three predictors were sufficient to approximate the predictions of the reference model: higher sleep quality, less trouble concentrating, and more servings of fruit. The performance of the projected submodel generalized well. Compared to other variable selection methods, predictive projection produced models with either matching or slightly worse performance; however, this performance was achieved with much fewer predictors.

CONCLUSION

Predictive projection was used to efficiently arrive at a compact model with good predictive accuracy. The predictors selected into the submodel - felt refreshed after waking up, had less trouble concentrating, and ate more servings of fruit - were all theoretically meaningful. Our findings showcase the utility of predictive projection in a practical variable selection problem.

Mindfulness training reduces PTSD symptoms and improves stress-related health outcomes in police officers

Law enforcement officers are regularly exposed directly and indirectly to a wide variety of traumatic stressors, which take place against a backdrop of high levels of organizational stressors. Consequently, this group is at elevated risk for posttraumatic stress disorder (PTSD) and other negative physical and mental health outcomes, yet there are few empirically supported interventions to proactively mitigate the effects of occupational stress for this population. Recent studies suggest that training in mindfulness meditation may reduce perceived stress and improve related physical and mental health outcomes in this group. We sought to demonstrate feasibility, acceptability, and adherence for an 8-week mindfulness training program in 30 officers from a mid-sized, Midwestern U.S. police department, replicate findings of improved stress-related health outcomes, and provide novel evidence for reduced PTSD symptoms. All 30 officers completed the training, with high rates of class attendance, substantial out-of-class practice time, and good acceptability of the training and teachers. We replicated findings of reduced post-training perceived stress, sleep disturbances, anxiety, and burnout. We also identified novel evidence for reduced PTSD symptoms that persisted at a 5-month follow-up assessment. These results indicate key targets for future investigation in larger, mechanistic, randomized controlled trials of mindfulness training in police officers.

Emotional Variability and Inertia in Daily Life: Links to Borderline Personality and Depressive Symptoms

Borderline personality disorder (BPD) and depression are characterized by negative emotionality, yet BPD is also theorized to be linked with emotional variability. The present study extends past work to a larger time scale and notes the degree to which stress-related emotional responses are variable or persistent across stressors using novel analytic models. Participants (N = 164) were undergraduate students who completed daily assessments of negative emotional responses to interpersonal stressors for 2 weeks. BPD and depression were associated with greater negative emotional intensity and greater emotional variability in response to nonsocial stressors. Only BPD features were associated with greater emotional variability in response to social stressors. This study is limited by its reliance on self-report in a nonclinical sample and limited within-person assessments. Data point to distinct constellations of emotional dysfunction in BPD and depression. Pending replication, these data may inform targeting of emotional dysfunction in treatment.

Attitudes Based on Feelings: Fixed or Fleeting?

Researchers and practitioners want to create opinions that stick. Yet whereas some opinions stay fixed, others are as fleeting as the time it takes to report them. In seven longitudinal studies with more than 20,000 individuals, we found that attitudes based more on emotion are relatively fixed. Whether participants evaluated brand-new Christmas gifts or one of 40 brands, the more emotional their opinion, the less it changed over time, particularly if it was positive. In a word-of-mouth linguistic analysis of 75,000 real-world online reviews, we found that the more emotional consumers are in their first review, the more that attitude persists when they express it again even years later. Finally, more emotion-evoking persuasive messages create attitudes that decay less over time, further establishing emotion’s causal effect. These effects persist above and beyond other attitude-strength attributes. Interestingly, we also found that lay individuals generally fail to appreciate the relation between emotionality and attitude stability.

Immediate effects of a very brief planning intervention on fruit and vegetable consumption: A randomized controlled trial

Action planning interventions can effectively promote fruit and vegetable (FV) consumption, but not much is known about the day-to-day translation of intervention planning into action. In this randomized controlled trial, immediate intervention effects of a very brief planning intervention on FV consumption during the following 13 days were investigated. After a 13-day pre-intervention diary, N = 206 participants (aged 19-66 years) were randomly allocated to a waiting-list control condition or a planning condition, where they formed one FV plan. Participants from both conditions completed a 13-day post-intervention diary. Self-reported daily FV consumption, FV-specific self-efficacy, and action control were assessed. Segmented linear mixed models estimating a discrete change (i.e. "jump") between diary phases showed a positive "jump" of FV intake and self-efficacy in the planning condition when compared to the control condition. For action control, such effects were not observed. Changes in study variables throughout the post-intervention phase did not differ between both conditions. Present findings extend previous evidence on action planning interventions by showing that increases in self-regulatory (i.e. self-efficacy) and behavioral (i.e. FV intake) outcomes can occur very rapidly and already on the first day for which behavioral increases were planned.