Affect and mental health across the lifespan during a year of the COVID-19 pandemic: The role of emotion regulation strategies and mental flexibility

During the COVID-19 pandemic, there has been a rise in common mental health problems compared to prepandemic levels, especially in young people. Understanding the factors that place young people at risk is critical to guide the response to increased mental health problems. Here we examine whether age-related differences in mental flexibility and frequency of use of emotion regulation strategies partially account for the poorer affect and increased mental health problems reported by younger people during the pandemic. Participants (N = 2,367; 11-100 years) from Australia, the UK, and US were surveyed thrice at 3-month intervals between May 2020 and April 2021. Participants completed measures of emotion regulation, mental flexibility, affect, and mental health. Younger age was associated with less positive (b = 0.008, p < .001) and more negative (b = -0.015, p < .001) affect across the first year of the pandemic. Maladaptive emotion regulation partially accounted for age-related variance in negative affect (β = -0.013, p = .020), whereby younger age was associated with more frequent use of maladaptive emotion regulation strategies, which, in turn, was associated with more negative affect at our third assessment point. More frequent use of adaptive emotion regulation strategies, and in turn, changes in negative affect from our first to our third assessment, partially accounted for age-related variance in mental health problems (β = 0.007, p = .023). Our findings add to the growing literature demonstrating the vulnerability of younger people during the COVID-19 pandemic and suggest that emotion regulation may be a promising target for intervention. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The effects of life experiences and polygenic risk for depression on the development of positive and negative cognitive biases across adolescence: The CogBIAS hypothesis

The Cognitive Bias (CogBIAS) hypothesis proposes that cognitive biases develop as a function of environmental influences (which determine the valence of biases) and the genetic susceptibility to those influences (which determines the potency of biases). The current study employed a longitudinal, polygenic-by-environment approach to examine the CogBIAS hypothesis. To this end, measures of life experiences and polygenic scores for depression were used to assess the development of memory and interpretation biases in a three-wave sample of adolescents (12-16 years) (N = 337). Using mixed effects modeling, three patterns were revealed. First, positive life experiences (PLEs) were found to diminish negative and enhance positive forms of memory and social interpretation biases. Second, and against expectation, negative life experiences and depression polygenic scores were not associated with any cognitive outcomes, upon adjusting for psychopathology. Finally, and most importantly, the interaction between high polygenic risk and greater PLEs was associated with a stronger positive interpretation bias for social situations. These results provide the first line of polygenic evidence in support of the CogBIAS hypothesis, but also extend this hypothesis by highlighting positive genetic and nuanced environmental influences on the development of cognitive biases across adolescence.

Why mental health research matters: a commentary on 'shared goals for mental health research: what, why and when for the 2020s'

This brief commentary welcomes the UK national goals for mental health research and suggests that the UKRI funded mental health research network approach is a good starting point to achieve these goals.

Social determinants of mental health during a year of the COVID-19 pandemic

Belonging is a basic human need, with social isolation signaling a threat to biological fitness. Sensitivity to ostracism varies across individuals and the lifespan, peaking in adolescence. Government-imposed restrictions upon social interactions during COVID-19 may therefore be particularly detrimental to young people and those most sensitive to ostracism. Participants (N = 2367; 89.95% female, 11-100 years) from three countries with differing levels of government restrictions (Australia, UK, and USA) were surveyed thrice at three-month intervals (May 2020 - April 2021). Young people, and those living under the tightest government restrictions, reported the worst mental health, with these inequalities in mental health remaining constant throughout the study period. Further dissection of these results revealed that young people high on social rejection sensitivity reported the most mental health problems at the final assessment. These findings help account for the greater impact of enforced social isolation on young people's mental health, and open novel avenues for intervention.

No impaired integration in psychopathy: Evidence from an illusory conjunction paradigm

Progress in psychopathy research has been hampered by ongoing contention about its fundamental cause. The Impaired Integration theory of psychopathy provides an attention-based account of information integration abnormalities. We set out to evaluate the suggested mechanism via an innovative application of the well-established illusory conjunction paradigm. Two hundred participants were recruited by utilizing a psychopathic-trait-maximization technique, sampling individuals from an ex-prisoner and a population sample. We found no support for information integration deficits in psychopathic individuals (BF₁₀ = 0.156), and the absence of a relationship between psychopathic traits and illusory conjunctions remained when accounting for confounding variables. These findings question the mechanism proposed by the Impaired Integration theory and pave the way for future research to advance our understanding of psychopathic trait etiology by assessing specific and falsifiable mechanisms thought to bring about the observed cognitive and behavioral deficits. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Childhood-Onset Lupus Nephritis in the Childhood Arthritis and Rheumatology Research Alliance Registry: Short-Term Kidney Status and Variation in Care

OBJECTIVE

The goal was to characterize short-term kidney status and describe variation in early care utilization in a multicenter cohort of patients with childhood-onset systemic lupus erythematosus (cSLE) and nephritis.

METHODS

We analyzed previously collected prospective data from North American patients with cSLE with kidney biopsy-proven nephritis enrolled in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry from March 2017 through December 2019. We determined the proportion of patients with abnormal kidney status at the most recent registry visit and applied generalized linear mixed models to identify associated factors. We also calculated frequency of medication use, both during induction and ever recorded.

RESULTS

We identified 222 patients with kidney biopsy-proven nephritis, with 64% class III/IV nephritis on initial biopsy. At the most recent registry visit at median (interquartile range) of 17 (8-29) months from initial kidney biopsy, 58 of 106 patients (55%) with available data had abnormal kidney status. This finding was associated with male sex (odds ratio [OR] 3.88, 95% confidence interval [95% CI] 1.21-12.46) and age at cSLE diagnosis (OR 1.23, 95% CI 1.01-1.49). Patients with class IV nephritis were more likely than class III to receive cyclophosphamide and rituximab during induction. There was substantial variation in mycophenolate, cyclophosphamide, and rituximab ever use patterns across rheumatology centers.

CONCLUSION

In this cohort with predominately class III/IV nephritis, male sex and older age at cSLE diagnosis were associated with abnormal short-term kidney status. We also observed substantial variation in contemporary medication use for pediatric lupus nephritis between pediatric rheumatology centers. Additional studies are needed to better understand the impact of this variation on long-term kidney outcomes.

The effect of intolerance of uncertainty on anxiety and depression, and their symptom networks, during the COVID-19 pandemic

Individuals vary in their ability to tolerate uncertainty. High intolerance of uncertainty (the tendency to react negatively to uncertain situations) is a known risk factor for mental health problems. In the current study we examined the degree to which intolerance of uncertainty predicted depression and anxiety symptoms and their interrelations across the first year of the COVID-19 pandemic. We examined these associations across three time points (May 2020 - April 2021) in an international sample of adults (N = 2087, Mean age = 41.13) from three countries (UK, USA, Australia) with varying degrees of COVID-19 risk. We found that individuals with high and moderate levels of intolerance of uncertainty reported reductions in depression and anxiety symptoms over time. However, symptom levels remained significantly elevated compared to individuals with low intolerance of uncertainty. Individuals with low intolerance of uncertainty had low and stable levels of depression and anxiety across the course of the study. Network analyses further revealed that the relationships between depression and anxiety symptoms became stronger over time among individuals with high intolerance of uncertainty and identified that feeling afraid showed the strongest association with intolerance of uncertainty. Our findings are consistent with previous work identifying intolerance of uncertainty as an important risk factor for mental health problems, especially in times marked by actual health, economic and social uncertainty. The results highlight the need to explore ways to foster resilience among individuals who struggle to tolerate uncertainty, as ongoing and future geopolitical, climate and health threats will likely lead to continued exposure to significant uncertainty.

Social and cognitive vulnerability to COVID-19-related stress in pregnancy: A case-matched-control study of antenatal mental health

Emerging evidence shows that compared to pre-pandemic norms pregnant women report significant increases in clinical levels of depressive and anxiety symptoms during COVID-19. This pre-registered study examined cognitive and social vulnerability factors for poor mental health in pregnancy during COVID-19. Understanding vulnerability profiles is key to identifying women at risk for deteriorating peripartum mental health. N = 742 pregnant women and N = 742 age and country-matched controls from the COVID-19 Risks Across the Lifespan Study were included. Using a case-match control design allowed us to explore whether the cognitive vulnerability profiles would differ between pregnant and non-pregnant women. The findings showed that COVID-19-related stress was associated with heightened levels of depression and anxiety during pregnancy. Its impact was greatest in women with cognitive (i.e., higher intolerance of uncertainty and tendency to worry) and social (i.e., higher level of self-reported loneliness) vulnerabilities. Importantly, our data show that the mental health impacts of the pandemic were greater in pregnant women compared to women who were not pregnant, especially those with cognitive and social vulnerabilities. The results highlight the urgent need to prioritize mental health care for pregnant women to mitigate the impact of COVID-19-related stress on women's postpartum mental health and their infants' well-being.

Intraarticular steroids as DMARD-sparing agents for juvenile idiopathic arthritis flares: Analysis of the Childhood Arthritis and Rheumatology Research Alliance Registry

BACKGROUND

Children with juvenile idiopathic arthritis (JIA) who achieve a drug free remission often experience a flare of their disease requiring either intraarticular steroids (IAS) or systemic treatment with disease modifying anti-rheumatic drugs (DMARDs). IAS offer an opportunity to recapture disease control and avoid exposure to side effects from systemic immunosuppression. We examined a cohort of patients treated with IAS after drug free remission and report the probability of restarting systemic treatment within 12 months.

METHODS

We analyzed a cohort of patients from the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry who received IAS for a flare after a period of drug free remission. Historical factors and clinical characteristics and of the patients including data obtained at the time of treatment were analyzed.

RESULTS

We identified 46 patients who met the inclusion criteria. Of those with follow up data available 49% had restarted systemic treatment 6 months after IAS injection and 70% had restarted systemic treatment at 12 months. The proportion of patients with prior use of a biologic DMARD was the only factor that differed between patients who restarted systemic treatment those who did not, both at 6 months (79% vs 35%, p < 0.01) and 12 months (81% vs 33%, p < 0.05).

CONCLUSION

While IAS are an option for all patients who flare after drug free remission, it may not prevent the need to restart systemic treatment. Prior use of a biologic DMARD may predict lack of success for IAS. Those who previously received methotrexate only, on the other hand, are excellent candidates for IAS.

Stressful experiences impact clinical symptoms in people with endometriosis

Endometriosis is a chronic condition that affects ~10% of women globally. Its symptoms include chronic pelvic pain, heavy periods and tiredness/fatigue, which have been associated with poorer quality of life and mental health. We aim to explore the impact of the COVID-19 pandemic on pain and fatigue symptoms and their interactions with the impact on mental health in people with endometriosis. This global cross-sectional online survey study collected data from 4717 adults with self-reported surgical/radiological diagnosis of endometriosis between May and June 2020. The survey included questions on the current status and changes of endometriosis symptoms (pelvic pain, tiredness/fatigue, and bleeding patterns), mental health, pain catastrophising, and the impact of the COVID-19 pandemic on the respondents’ lives. Compared to 6 months earlier, Respondents reported a marked worsening of their endometriosis symptoms (endometriosis-associated pain (39.3%; 95% CI: 37.7, 40.5), tiredness/fatigue (49.9%; 95% CI: 48.4, 51.2) and bleeding patterns (39.6%; 95% CI: 38.2, 41)) and mental health (38.6%; 95% CI: 37.2, 39.9). Those with a pre-existing mental health diagnosis (38.8%) were more likely to report their symptoms worsening. Worsening of pain and tiredness/fatigue was significantly correlated with worsening of mental health (P  < 0.001). The relationship between changes in mental health and (a) change in pain and (b) change in fatigue was found to be weakly mediated by pain catastrophising scores (pain: B = 0.071, lower limit of confidence interval (LLCI) = 0.060, upper limit of confidence interval (ULCI) = 0.082, tiredness/fatigue: B = 0.050, LLCI = 0.040, ULCI = 0.060). This study demonstrates that stressful experiences impact the physical and mental health of people with endometriosis. The findings highlight the need to consider psychological approaches in the holistic management of people with endometriosis.

Social determinants of health influence disease activity and functional disability in Polyarticular Juvenile Idiopathic Arthritis

BACKGROUND

Social determinants of health (SDH) greatly influence outcomes during the first year of treatment in rheumatoid arthritis, a disease similar to polyarticular juvenile idiopathic arthritis (pJIA). We investigated the correlation of community poverty level and other SDH with the persistence of moderate to severe disease activity and functional disability over the first year of treatment in pJIA patients enrolled in the Childhood Arthritis and Rheumatology Research Alliance Registry.

METHODS

In this cohort study, unadjusted and adjusted generalized linear mixed effects models analyzed the effect of community poverty and other SDH on disease activity, using the clinical Juvenile Arthritis Disease Activity Score-10, and disability, using the Child Health Assessment Questionnaire, measured at baseline, 6, and 12 months.

RESULTS

One thousand six hundred eighty-four patients were identified. High community poverty (≥20% living below the federal poverty level) was associated with increased odds of functional disability (OR 1.82, 95% CI 1.28-2.60) but was not statistically significant after adjustment (aOR 1.23, 95% CI 0.81-1.86) and was not associated with increased disease activity. Non-white race/ethnicity was associated with higher disease activity (aOR 2.48, 95% CI: 1.41-4.36). Lower self-reported household income was associated with higher disease activity and persistent functional disability. Public insurance (aOR 1.56, 95% CI 1.06-2.29) and low family education (aOR 1.89, 95% CI 1.14-3.12) was associated with persistent functional disability.

CONCLUSION

High community poverty level was associated with persistent functional disability in unadjusted analysis but not with persistent moderate to high disease activity. Race/ethnicity and other SDH were associated with persistent disease activity and functional disability.

Development of a gamified cognitive training app “Social Brain Train” to enhance adolescent mental health: a participatory design study protocol

Background: Adolescence is a sensitive period for the onset of mental health disorders. Effective, easy-to-disseminate, scalable prevention and early interventions are urgently needed. Affective control has been proposed as a potential target mechanism. Training affective control has been shown to reduce mental health symptoms and improve emotion regulation. However, uptake and adherence to such training by adolescents has been low. Thus, the current study aims to receive end user (i.e., adolescents) feedback on a prototype of a novel app-based gamified affective control training program, the Social Brain Train. Methods: The proposed study aims to recruit participants aged 13-16 years old (N = 20) to provide user feedback on the Social Brain Train app. The first group of participants (n = 5) will complete an online questionnaire assessing demographics, symptoms of depression and anxiety, social rejection sensitivity and attitudes toward the malleability of cognition and mental health. They will complete two tasks assessing cognitive capacity and interpretation bias. Participants will be then be invited to an online group workshop, where they will be introduced to the app. They will train on the app for three days, and following app usage, participants will complete the aforementioned measures again, as well as provide ratings on app content, and complete a semi-structured interview to obtain in-depth user feedback, which will be used to inform modifications to the app. Following these modifications, a second group of participants (n = 15) will follow the same procedure, except they will train on the app for 14 days. Feedback from both groups of participants will be used to inform the final design. Conclusions: By including young people in the design of the Social Brain Train app, the proposed study will help us to develop a novel mental health intervention that young people find engaging, acceptable, and easy-to-use

Uncontrolled eating in healthy women has limited influence on food cue reactivity and food-related inhibitory control

Uncontrolled eating-in the general population-is characterized by overeating, hedonic hunger and being drawn towards palatable foods. Theoretically, it is the result of a strong food reward signal in relation to a poor ability to exert inhibitory control. How food consumption influences inhibitory control and food cue sensitivity, and how this relates to the continued urge to eat, remains unclear. We used fMRI in order to investigate the neural mechanism underlying food cue reactivity and food-specific response inhibition (go-nogo task), by comparing women reporting high (n = 21) versus low/average (n = 19) uncontrolled eating across two sessions: during an inter-meal state and after consumption of a high-caloric snack. We found no effects of individual differences in uncontrolled eating, food consumption, nor their interaction on food cue reactivity. Differences in uncontrolled eating and food consumption did interact in modulating activity in an occipital-parietal network, extending from left lateral superior occipital cortex to visual cortex, cuneal cortex, and precuneus during response inhibition of non-food stimuli, areas previously associated with successful nogo-vs. go-trials. Yet, behavioural performance on the go-nogo task was not modulated by uncontrolled eating nor food consumption. Women with a low/average tendency for uncontrolled eating may need more cognitive resources to support successful response inhibition of non-food stimuli during food 'go' blocks in an inter-meal state, whereas women with a high tendency for uncontrolled eating showed this after food consumption. However, considering current and previous findings, it seems that individual differences in uncontrolled eating in healthy women have only limited influence on food cue reactivity and food-related inhibitory control.

The Global Impact of COVID-19 on the Care of People With Endometriosis

Endometriosis is a chronic condition affecting ~10% of women globally. Little is known about the impact of the coronavirus disease 2019 (COVID-19) pandemic on their care. This brief report is aimed to explore the impact of COVID-19 on the care of people with endometriosis around the world, their priorities in relation to their clinical care during and coming out of the pandemic, and whether they believed that endometriosis makes them more vulnerable to COVID-19. An internet-based survey collected data in five languages between May 11, 2020, and June 8, 2020. Only participants with a surgical or radiological diagnosis of endometriosis aged 18 years or over were included. A total of 6,729 eligible respondents completed the survey with 80.7% [95% CI (79.7, 81.6)] reporting a negative impact on their care. This included difficulties obtaining medication (20.3%), cancelled/postponed gynaecology appointments (50.0%), and cancelled/postponed procedures (37.2%). More than half worried that their endometrioses make them more vulnerable to COVID-19 [54.2%; 95% CI (53.0, 55.4)]. The top three priorities were remarkably consistent around the world: contact with gynaecologists, knowing when procedures would be performed, and support with mental health (20.3% prioritising this aspect during the pandemic and 13.0% as restrictions begin to ease). This study shows the substantial impact the COVID-19 pandemic has had on people with endometriosis and describes how they would like care prioritised moving forwards. The findings regarding significant support needs for mental health add further weight to the growing recognition of attending to such issues as part of good patient-centred care.

Anxiety, stress, and binge eating tendencies in adolescence: a prospective approach

BACKGROUND

Recent years have witnessed an increasing prevalence of binge eating tendencies in adolescence-warranting a clearer understanding of their underlying predisposing and precipitating factors. The current study investigated whether the interaction between high levels of anxiety and stress predicted increased levels of binge eating tendencies in a prospective cohort of adolescents (N = 324).

METHODS

Measurements were taken over three waves (M ages: 13.33, 14.48, 15.65) as part of the CogBIAS Longitudinal Study. Longitudinal associations between levels of anxiety and stress with binge eating tendencies were estimated using a random intercept cross-lagged panel model (RI-CLPM), which calculates within-person fluctuations over time while accounting for individual trait-like stability and between-person variations. Binge eating tendencies were measured by the Cognitive Restraint, Uncontrolled Eating, and Emotional Eating styles from the Three-Factor Eating Questionnaire-R18. Two models were created for each binge eating tendencies variable: (1) a basic model with anxiety and stress as independent variables; (2) an interaction model with an additional anxiety*stress interaction term. Model fit was assessed by SEM fit indices: X², CFI, NFI, TLI, RMSEA, SRMR. Superior model fit was ascertained by a chi-square difference test (p < .05).

RESULTS

For Cognitive Restraint, the interaction model demonstrated superior fit to the data (p < .05). The anxiety*stress interaction at Waves 1 and 2 was significantly negatively associated with Cognitive Restraint at Waves 2 (β = -0.18, p = .002) and 3 (β = -0.14, p = .002)-suggesting that anxiety and stress interacted to predict increased binge eating tendencies linked with cognitive restraint over and above their independent effects. In contrast, the interaction term between anxiety*stress did not predict levels of Uncontrolled Eating or Emotional Eating over time.

CONCLUSIONS

The results highlight the importance of increasing awareness of the interaction between concurrently high anxiety and stress as a potential risk factor for binge eating tendencies in young people.

TRIAL REGISTRATION

Not applicable.

Emotional information-processing correlates of positive mental health in adolescence: a network analysis approach

The combined cognitive bias hypothesis proposes that emotional information-processing biases may conjointly influence mental health. Yet, little is known about the interrelationships amongst cognitive biases, particularly in adolescence. We used data from the CogBIAS longitudinal study (Booth et al., 2017), including 450 adolescents who completed measures of interpretation bias, memory bias, and a validated measure of general mental health in a typically developing population. We used a moderated network modelling approach to examine positive mental health-related moderation of the cognitive bias network. We found that mental health was directly associated with positive and negative memory biases, and positive interpretation biases, but not negative interpretation biases. Further, we observed some mental health-related moderation of the network structure. Network connectivity decreased with higher positive mental health scores. Network approaches allow us to model complex relationships amongst cognitive biases and develop novel hypotheses for future research.

Discontinuation Patterns and Cost Avoidance of a Pharmacist-Driven Methicillin-Resistant Staphylococcus aureus Nasal Polymerase Chain Reaction Testing Protocol for De-escalation of Empiric Vancomycin for Suspected Pneumonia

A pharmacist-driven methicillin-resistant Staphylococcus aureus (MRSA) nasal polymerase chain reaction (PCR)-based testing protocol with a 70% acceptance rate for vancomycin discontinuation within 24 hours of negative results significantly reduced unnecessary vancomycin use with an estimated cost avoidance of $40 per vancomycin course. We found high concordance (141 of 147, 96%) of culture-based versus PCR-based MRSA nasal screening.

Neural mechanisms of eye gaze processing as a function of emotional expression and working memory load

The aim of the present study was to investigate the role of working memory load on the gaze cueing effect in high and low trait-anxious participants, using electroencephalography. Fearful and neutral faces predicted the location of a target, which was a digit that participants were asked to recall from a series encoded in each trial, in a modified version of the attentional cueing task. Working memory load impacted cueing irrespective of emotion and anxiety in analysis of reaction times. Lateralized EEG components then showed that effects of emotion were only apparent in high anxious individuals, with an initial hypervigilance to target locations cued by fearful faces, followed by a difficulty to disengage from these locations when targets appeared at uncued sites (P1). Enhanced amplitude following fearful faces was observed, when discriminative processes leading to response selection are implemented (N1). Conversely, all the effects of working memory load were independent of emotion in the low anxious group, where the shifting of attention directed by the gaze was only visible when enough resources were available in the working memory span. Working memory loads impacted the processing of gaze differently (P1) in low anxious participants, suggesting that top-down influence may play a role in this case.

Individual differences in affective flexibility predict future anxiety and worry

Deficits in cognitive flexibility have been associated with anxiety and worry, however few studies have assessed cognitive flexibility in the context of emotional stimuli (i.e. affective flexibility). The present study (n = 79) investigated whether individual differences in affective flexibility predict levels of trait anxiety and worry over a period of seven weeks. Affective flexibility was measured using a task-switching paradigm. Results showed that less efficient shifting of attention towards affective aspects of positive stimuli predicted higher anxiety over time. Additionally, more efficient shifting of attention away from affective towards non-affective aspects of negative stimuli predicted higher anxiety and worry over time. This latter finding may be understood by considering theoretical models and empirical evidence associating avoidance of negative information with increased anxiety. The effects were small and require replication in larger, representative samples, but they are an initial indication that anxiety may not be associated with general impairments in cognitive flexibility. Instead, our study emphasises the importance of breaking down cognitive flexibility into different components to investigate more nuanced relationships.

Anxiety and Depressive Symptom Trajectories in Adolescence and the Co-Occurring Development of Cognitive Biases: Evidence from the CogBIAS Longitudinal Study

The development of negative cognitive biases, together with symptoms of anxiety and depression, has yet to be investigated longitudinally. Using a three-wave design, the present study examined developmental trajectories of anxiety and depressive symptoms and the co-occurrence of cognitive biases, in a large normative sample of adolescents (N = 504). Data was drawn from the CogBIAS Longitudinal Study (CogBIAS-L-S), which assessed a wide range of psychological variables, including cognitive biases and self-reported anxiety and depressive symptoms, when adolescents were approximately 13, 14.5, and 16 years of age. The results showed that overall levels of anxiety were low and stable, while levels of depression were low but increased slightly at each wave. Growth mixture modeling identified four distinct developmental classes with regard to anxiety and depressive symptoms. Multiple group analysis further showed that class membership was related to the development of cognitive biases. The majority of the sample (75%) was characterised by ‘Low symptoms’ of anxiety and depression and showed low interpretation and memory biases for negative stimuli at each wave. A second class (11%) displayed ‘Decreasing anxiety symptoms’ and showed decreasing interpretation bias, but increasing memory bias. A third class (8%) displayed ‘Comorbid increasing symptoms’ and showed increasing interpretation and memory biases. While the fourth class (6%) displayed ‘Comorbid decreasing symptoms’ and showed decreasing interpretation and memory biases. This longitudinal study sheds light on healthy and psychopathological emotional development in adolescence and highlights cognitive mechanisms that may be useful targets for prevention and early interventions.

Mental health in UK Biobank - development, implementation and results from an online questionnaire completed by 157 366 participants: a reanalysis

BACKGROUND

UK Biobank is a well-characterised cohort of over 500 000 participants including genetics, environmental data and imaging. An online mental health questionnaire was designed for UK Biobank participants to expand its potential.

AIMS

Describe the development, implementation and results of this questionnaire.

METHOD

An expert working group designed the questionnaire, using established measures where possible, and consulting a patient group. Operational criteria were agreed for defining likely disorder and risk states, including lifetime depression, mania/hypomania, generalised anxiety disorder, unusual experiences and self-harm, and current post-traumatic stress and hazardous/harmful alcohol use.

RESULTS

A total of 157 366 completed online questionnaires were available by August 2017. Participants were aged 45-82 (53% were ≥65 years) and 57% women. Comparison of self-reported diagnosed mental disorder with a contemporary study shows a similar prevalence, despite respondents being of higher average socioeconomic status. Lifetime depression was a common finding, with 24% (37 434) of participants meeting criteria and current hazardous/harmful alcohol use criteria were met by 21% (32 602), whereas other criteria were met by less than 8% of the participants. There was extensive comorbidity among the syndromes. Mental disorders were associated with a high neuroticism score, adverse life events and long-term illness; addiction and bipolar affective disorder in particular were associated with measures of deprivation.

CONCLUSIONS

The UK Biobank questionnaire represents a very large mental health survey in itself, and the results presented here show high face validity, although caution is needed because of selection bias. Built into UK Biobank, these data intersect with other health data to offer unparalleled potential for crosscutting biomedical research involving mental health.

A meta-analysis of bias at baseline in RCTs of attention bias modification: No evidence for dot-probe bias towards threat in clinical anxiety and PTSD

Considerable effort and funding have been spent on developing Attention Bias Modification (ABM) as a treatment for anxiety disorders, theorized to exert therapeutic effects through reduction of a tendency to orient attention toward threat. However, meta-analytical evidence that clinical anxiety is characterized by threat-related attention bias is thin. The largest meta-analysis to date included dot-probe data for n = 337 clinically anxious individuals. Baseline measures of biased attention obtained in ABM RCTs form an additional body of data that has not previously been meta-analyzed. This article presents a meta-analysis of threat-related dot-probe bias measured at baseline for 1,005 clinically anxious individuals enrolled in 13 ABM RCTs. Random-effects meta-analysis indicated no evidence that the mean bias index (BI) differed from zero (k = 13, n = 1005, mean BI = 1.8 ms, SE = 1.26 ms, p = .144, 95% confidence interval [-0.6, 4.3]. Additional Bayes factor analyses also supported the point-zero hypothesis (BF10 = .23), whereas interval-based analysis indicated that mean bias in clinical anxiety is unlikely to extend beyond the 0 to 5 ms interval. Findings are discussed with respect to strengths (relatively large samples, possible bypassing of publication bias), limitations (lack of control comparison, repurposing data, specificity to dot-probe data), and theoretical and practical context. We suggest that it should no longer be assumed that clinically anxious individuals are characterized by selective attention toward threat. Clinically anxious individuals enrolled in RCTs for Attention Bias Modification are not characterized by threat-related attention bias at baseline. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The CogBIAS longitudinal study of adolescence: cohort profile and stability and change in measures across three waves

Background

Adolescence is a time of considerable social, cognitive, and physiological development. It reflects a period of heightened risk for the onset of mental health problems, as well as heightened opportunity for flourishing and resilience. The CogBIAS Longitudinal Study (CogBIAS-L-S) aims to investigate psychological development during adolescence.

Methods

We present the cohort profile of the sample (N = 504) across three waves of data collection, when participants were approximately 13, 14.5, and 16 years of age. Further, we present descriptive statistics for all of the psychological variables assessed including (a) the self-report mood measures, (b) the other self-report measures, and (c) the behavioural measures. Differential and normative stability were investigated for each variable, in order to assess (i) measurement reliability (internal consistency), (ii) the stability of individual differences (intra-class correlations), and (iii) whether any adolescent-typical developmental changes occurred (multilevel growth curve models).

Results

Measurement reliability was good for the self-report measures (> .70), but lower for the behavioural measures (between .00 and .78). Differential stability was substantial, as individual differences were largely maintained across waves. Although, stability was lower for the behavioural measures. Some adolescent-typical normative changes were observed, reflected by (i) worsening mood, (ii) increasing impulsivity, and (iii) improvements in executive functions.

Conclusions

The stability of individual differences was substantial across most variables, supporting classical test theory. Some normative changes were observed that reflected adolescent-typical development. Although, normative changes were relatively small compared to the stability of individual differences. The development of stable psychological characteristics during this period highlights a potential intervention window in early adolescence.

Psychological Science Needs a Standard Practice of Reporting the Reliability of Cognitive-Behavioral Measurements

Psychological science relies on behavioral measures to assess cognitive processing; however, the field has not yet developed a tradition of routinely examining the reliability of these behavioral measures. Reliable measures are essential to draw robust inferences from statistical analyses, and subpar reliability has severe implications for measures’ validity and interpretation. Without examining and reporting the reliability of measurements used in an analysis, it is nearly impossible to ascertain whether results are robust or have arisen largely from measurement error. In this article, we propose that researchers adopt a standard practice of estimating and reporting the reliability of behavioral assessments of cognitive processing. We illustrate the need for this practice using an example from experimental psychopathology, the dot-probe task, although we argue that reporting reliability is relevant across fields (e.g., social cognition and cognitive psychology). We explore several implications of low measurement reliability and the detrimental impact that failure to assess measurement reliability has on interpretability and comparison of results and therefore research quality. We argue that researchers in the field of cognition need to report measurement reliability as routine practice so that more reliable assessment tools can be developed. To provide some guidance on estimating and reporting reliability, we describe the use of bootstrapped split-half estimation and intraclass correlation coefficients to estimate internal consistency and test-retest reliability, respectively. For future researchers to build upon current results, it is imperative that all researchers provide psychometric information sufficient for estimating the accuracy of inferences and informing further development of cognitive-behavioral assessments.

Attentional control, rumination and recurrence of depression

BACKGROUND

Depressive recurrence is highly prevalent and adds significantly to the burden of depressive disorder. Whilst some clinical predictors of recurrence have been clearly demonstrated (e.g. residual symptoms, previous episodes), the cognitive and psychological processes that may contribute to recurrence risk are less well established. In this study we examine whether cognitive flexibility deficits and rumination are related to recurrence in a remitted clinical sample.

METHOD

We compared remitted patients with 2 or more previous depressive episodes (N = 69) to a matched group of healthy controls (N = 43). Cognitive flexibility was measured using the Internal Shift Task (IST) and a version of the Exogenous Cueing Task (ECT); rumination was assessed with the Ruminative Responses Scale.

RESULTS

IST and ECT performance did not differ between remitted patients and controls. Remitted patients had higher levels of rumination than controls. Within the remitted patient group, faster disengagement from angry and happy faces on the ECT was predictive of shorter time to recurrence (hazard ratio for 1 standard deviation, (HR_SD) = 0.563 [CI, 0.381-0.832], p = 0.004, (HR_SD) = 0.561 [CI, 0.389-0.808], p = 0.002, respectively). Rumination predicted recurrence (HR_SD = 1.526 [CI, 1.152-2.202]; p = 0.003) but was not related to emotional disengagement.

LIMITATIONS

We had low power to detect small effects for the analysis within remitted patients.

CONCLUSIONS

Whilst cognitive flexibility in remitted patients was not impaired relative to controls, rapid disengagement from emotional stimuli and rumination were independently associated with time to recurrence. Cognitive flexibility may be an important indicator of recurrence risk, and a target for interventions to reduce recurrence.

Does rumination mediate the relationship between attentional control and symptoms of depression?

BACKGROUND AND OBJECTIVES

It has been suggested that impaired attentional control (AC) promotes the use of maladaptive emotional regulation strategies, such as rumination, with subsequent increase in risk of depression.

METHOD

This study examined this hypothesis in a healthy community sample. Questionnaire measures of depression, anxiety, rumination and self-reported AC (shifting and focusing) were used, as well as an attention performance task (Attention Network Task; ANT).

RESULTS

While self-report and performance measures of AC were not significantly related, both depression and rumination were associated with reduced self-reported AC. Depression was specifically associated with poorer attentional shifting. Depression and brooding were also associated with better performance on the conflict component of the ANT. Importantly, the relationships of ANT conflict and self-reported AC to depression were mediated by brooding.

LIMITATIONS

The current study used a community sample, and it is unclear if results would generalise to a clinical population. All measures were taken concurrently and so it is not possible to confidently ascertain causality or direction of effects.

CONCLUSIONS

These results are consistent with the suggestion that impaired AC, particularly a narrow and inflexible attentional focus, may increase risk of depression by promoting ruminative thinking. The results highlight the importance of considering both self-report and performance measures of AC, as well as different components of attentional performance.

Perspectives from affective science on understanding the nature of emotion

Emotions are at the heart of how we understand the human mind and of our relationships within the social world. Yet, there is still no scientific consensus on the fundamental nature of emotion. A central quest within the discipline of affective science is to develop an in-depth understanding of emotions, moods, and feelings and how they are embodied within the brain (affective neuroscience). This article provides a brief overview of the scientific study of emotion with a particular emphasis on psychological and neuroscientific perspectives. Following a selective snapshot of past and present research in this field, some current challenges and controversies in affective science are highlighted.

The influence of positive and negative affect on emotional attention

BACKGROUND AND OBJECTIVES

Mechanisms of engagement and disengagement of attention to emotional information are thought to contribute to the onset and maintenance of anxiety and depression, a conclusion based largely on findings in analogue subclinical samples. However, we argue that traditionally defined analogue samples can be misleading. Firstly, research has challenged the adequacy of conventional measures of subclinical traits by illustrating that supposedly distinct scales are highly inter-correlated and do not therefore measure independent constructs. Secondly, recent research in clinical groups has revealed results opposite to those expected from the analogue literature, suggesting speeded, rather than impaired, disengagement from threat.

METHODS

We present analogue findings, from a sample of 70 healthy participants, allowing a purer distinction between the phenomenology of anxiety versus depression using the orthogonal traits of positive and negative affect to classify individuals.

RESULTS

Using emotional peripheral cueing we found that, at short cue durations, dysphoric individuals' (those with low positive and high negative affect) attention to facial expressions was slowed by emotional compared to neutral invalid cues.

LIMITATIONS

Limitations included a small sample size and limited generalisability due to sampling from a student population.

CONCLUSIONS

The data suggest that, in line with the previous subclinical literature, dysphoric individuals are slow to disengage attention from emotional information at early stages of processing and are consistent with the possibility that patterns of orienting of attention might be qualitatively different in subclinical versus clinical populations.

A comparison of biofluid cytokine markers across platform technologies: Correspondence or divergence?

BACKGROUND

Quantification of biofluid cytokines is a rapidly growing area of translational research. However, comparability across the expanding number of available assay platforms for detection of the same proteins remains to be determined. We aimed to directly compare a panel of commonly measured cytokines in plasma of typically aging adults across two high sensitivity quantification platforms, Meso Scale Discovery high performance electrochemiluminiscence (HPE) and single-molecule immunosorbent assays (Simoa) by Quanterix.

METHODS

57 community-dwelling older adults completed a blood draw, neuropsychological assessment, and brain MRI as part of a healthy brain aging study. Plasma samples from the same draw dates were analyzed for IL-10, IP-10, IL-6, TNFα, and IL-1β on HPE and Simoa, separately. Reliable detectability (coefficient of variance (CV) < 20% and outliers 3 interquartiles above the median removed), intra-assay precision, absolute concentrations, reproducibility across platforms, and concurrent associations with external variables of interest (e.g., demographics, peripheral markers of vascular health, and brain health) were examined.

RESULTS

The proportion of cytokines reliably measured on HPE (87.7-93.0%) and Simoa (75.4-93.0%) did not differ (ps > 0.32), with the exception of IL-1β which was only reliably measured using Simoa (68.4%). On average, CVs were acceptable at <8% across both platforms. Absolute measured concentrations were higher using Simoa for IL-10, IL-6, and TNFα (ps < 0.05). HPE and Simoa shared only small-to-moderate proportions of variance with one another on the same cytokine proteins (range: r = 0.26 for IL-10 to r = 0.64 for IL-6), though platform agreement did not dependent on cytokine concentrations. Cytokine ratios within each platform demonstrated similar relative patterns of up- and down-regulation across HPE and Simoa, though still significantly differed (ps < 0.001). Supporting concurrent validity, all 95% confidence intervals of the correlations between cytokines and external variables overlapped between the two platforms. Moreover, most associations were in expected directions and consistently so across platforms (e.g., IL-6 and TNFα), though with several notable exceptions for IP-10 and IL-10.

CONCLUSIONS

HPE and Simoa showed comparable detectability and intra-assay precision measuring a panel of commonly examined cytokine proteins, with the exception of IL-1β which was not reliably detected on HPE. However, Simoa demonstrated overall higher concentrations and the two platforms did not show agreement when directly compared against one another. Relative cytokine ratios and associations demonstrated similar patterns across platforms. Absolute cytokine concentrations may not be directly comparable across platforms, may be analyte dependent, and interpretation may be best limited to discussion of relative associations.

Erratum: Mental health in UK Biobank: development, implementation and results from an online questionnaire completed by 157 366 participants - CORRIGENDUM

[This corrects the article DOI: 10.1192/bjo.2018.12.].

Symptom Presentation in Idiopathic Environmental Intolerance With Attribution to Electromagnetic Fields: Evidence for a Nocebo Effect Based on Data Re-Analyzed From Two Previous Provocation Studies

Individuals with idiopathic environmental illness with attribution to electromagnetic fields (IEI-EMF) claim they experience adverse symptoms when exposed to electromagnetic fields (EMFs) from mobile telecommunication devices. However, research has consistently reported no relationship between exposure to EMFs and symptoms in IEI-EMF individuals. The current study investigated whether presence of symptoms in IEI-EMF individuals were associated with a nocebo effect. Data from two previous double-blind provocation studies were re-analyzed based on participants' judgments as to whether or not they believed a telecommunication base station was "on" or "off". Experiment 1 examined data in which participants were exposed to EMFs from Global System for Mobile Communication, Universal Mobile Telecommunications System, and sham base station signals. In Experiment 2, participants were exposed to EMFs from Terrestrial Trunked Radio Telecommunications System and sham base station signals. Our measures of subjective well-being indicated IEI-EMF participants consistently reported significantly lower levels of well-being, when they believed the base station was "on" compared to "off". Interestingly, control participants also reported experiencing more symptoms and greater symptom severity when they too believed the base station was "on" compared to "off". Thus, a nocebo effect provides a reasonable explanation for the presence of symptoms in IEI-EMF and control participants.

Skeletal muscle and plasma concentrations of cefazolin during complex paediatric spinal surgery

BACKGROUND

Surgical site infections (SSIs) can have devastating consequences for children who undergo spinal instrumentation. Prospective evaluations of prophylactic cefazolin in this population are limited. The purpose of this study was to describe the pharmacokinetics and skeletal muscle disposition of prophylactic cefazolin in a paediatric population undergoing complex spinal surgery.

METHODS

This prospective pharmacokinetic study included 17 children with adolescent idiopathic scoliosis undergoing posterior spinal fusion, with a median age of 13.8 [interquartile range (IQR) 13.4-15.4] yr and a median weight of 60.6 (IQR 50.8-66.0) kg. A dosing strategy consistent with published guidelines was used. Serial plasma and skeletal muscle microdialysis samples were obtained during the operative procedure and unbound cefazolin concentrations measured. Non-compartmental pharmacokinetic analyses were performed. The amount of time that the concentration of unbound cefazolin exceeded the minimal inhibitory concentration for bacterial growth for selected SSI pathogens was calculated.

RESULTS

Skeletal muscle concentrations peaked at a median of 37.6 (IQR 26.8-40.0) µg ml(-1) within 30-60 min after the first cefazolin 30 mg kg(-1) dose. For patients who received a second 30 mg kg(-1) dose, the peak concentrations reached a median of 40.5 (IQR 30.8-45.7) µg ml(-1) within 30-60 min. The target cefazolin concentrations for SSI prophylaxis for meticillin-sensitive Staphylococcus aureus (MSSA) and Gram-negative pathogens were exceeded in skeletal muscle 98.9 and 58.3% of the intraoperative time, respectively.

CONCLUSIONS

For children with adolescent idiopathic scoliosis undergoing posterior spinal fusion, the cefazolin dosing strategy used in this study resulted in skeletal muscle concentrations that were likely not to be effective for intraoperative SSI prophylaxis against Gram-negative pathogens.

Erratum: Mental health in UK Biobank: development, implementation and results from an online questionnaire completed by 157 366 participants - CORRIGENDUM

[This corrects the article DOI: 10.1192/bjo.2018.12.].

Mental health in UK Biobank: development, implementation and results from an online questionnaire completed by 157 366 participants

BACKGROUND

UK Biobank is a well-characterised cohort of over 500 000 participants that offers unique opportunities to investigate multiple diseases and risk factors.

AIMS

An online mental health questionnaire completed by UK Biobank participants was expected to expand the potential for research into mental disorders.

METHOD

An expert working group designed the questionnaire, using established measures where possible, and consulting with a patient group regarding acceptability. Case definitions were defined using operational criteria for lifetime depression, mania, anxiety disorder, psychotic-like experiences and self-harm, as well as current post-traumatic stress and alcohol use disorders.

RESULTS

157 366 completed online questionnaires were available by August 2017. Comparison of self-reported diagnosed mental disorder with a contemporary study shows a similar prevalence, despite respondents being of higher average socioeconomic status than the general population across a range of indicators. Thirty-five per cent (55 750) of participants had at least one defined syndrome, of which lifetime depression was the most common at 24% (37 434). There was extensive comorbidity among the syndromes. Mental disorders were associated with high neuroticism score, adverse life events and long-term illness; addiction and bipolar affective disorder in particular were associated with measures of deprivation.

CONCLUSIONS

The questionnaire represents a very large mental health survey in itself, and the results presented here show high face validity, although caution is needed owing to selection bias. Built into UK Biobank, these data intersect with other health data to offer unparalleled potential for crosscutting biomedical research involving mental health.

DECLARATION OF INTEREST

G.B. received grants from the National Institute for Health Research during the study; and support from Illumina Ltd. and the European Commission outside the submitted work. B.C. received grants from the Scottish Executive Chief Scientist Office and from The Dr Mortimer and Theresa Sackler Foundation during the study. C.S. received grants from the Medical Research Council and Wellcome Trust during the study, and is the Chief Scientist for UK Biobank. M.H. received grants from the Innovative Medicines Initiative via the RADAR-CNS programme and personal fees as an expert witness outside the submitted work.

The CogBIAS longitudinal study protocol: cognitive and genetic factors influencing psychological functioning in adolescence

BACKGROUND

Optimal psychological development is dependent upon a complex interplay between individual and situational factors. Investigating the development of these factors in adolescence will help to improve understanding of emotional vulnerability and resilience. The CogBIAS longitudinal study (CogBIAS-L-S) aims to combine cognitive and genetic approaches to investigate risk and protective factors associated with the development of mood and impulsivity-related outcomes in an adolescent sample.

METHODS

CogBIAS-L-S is a three-wave longitudinal study of typically developing adolescents conducted over 4 years, with data collection at age 12, 14 and 16. At each wave participants will undergo multiple assessments including a range of selective cognitive processing tasks (e.g. attention bias, interpretation bias, memory bias) and psychological self-report measures (e.g. anxiety, depression, resilience). Saliva samples will also be collected at the baseline assessment for genetic analyses. Multilevel statistical analyses will be performed to investigate the developmental trajectory of cognitive biases on psychological functioning, as well as the influence of genetic moderation on these relationships.

DISCUSSION

CogBIAS-L-S represents the first longitudinal study to assess multiple cognitive biases across adolescent development and the largest study of its kind to collect genetic data. It therefore provides a unique opportunity to understand how genes and the environment influence the development and maintenance of cognitive biases and provide insight into risk and protective factors that may be key targets for intervention.