Melbourne School of Psychological Sciences - Theses
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ItemEmpathy during childhood; an investigation of associations with anxiety and depressive symptoms, and brain structure and function( 2021)This thesis investigated the associations between empathy and internalising (i.e., depressive and anxiety) symptoms, and the underlying structural, and functional connectivity neural correlates of empathy in late childhood. Background: Empathy refers to the understanding and sharing of others’ emotions, is a multidimensional construct, and includes cognitive and affective components. Empathy is important for social functioning, and alterations in empathy have been demonstrated in many developmental/psychiatric disorders. Studies in adults have demonstrated that both cognitive and affective empathy are associated with internalising symptoms. Studies in adults have also examined the neural underpinnings of empathy, implicating two major functional brain networks: the Default Mode Network (DMN) has been implicated in cognitive empathy, while the Salience Network (SN) has been implicated in affective empathy. These findings have mostly resulted from investigating brain activity during empathy tasks (i.e., in functional Magnetic Resonance Imaging [fMRI] studies). Less research has examined the associations between trait empathy, and brain structure or intrinsic functional connectivity. Few studies have investigated these associations between empathy and either internalising symptoms or the neural correlates in young people, particularly children. Investigating associations between empathy, mental health, and brain structure and function during childhood is beneficial to begin to build a comprehensive picture of the development of empathy components and the neural correlates of empathy across the lifespan. Based on previous research in adults and preliminary work in children, we hypothesised that higher levels of empathic distress and lower levels of cognitive empathy would be associated with higher depressive and anxiety symptoms (particularly social anxiety symptoms). We also hypothesised that children’s cognitive and affective empathy would be associated with individual differences in brain structure and function within areas related to the DMN and the SN, respectively. Methods: Participants were 9- and 10-year-old children, a subset from the second wave of the Families and Childhood Transitions Study (FACTS), a longitudinal, community-based cohort study. Sample size across the empirical chapters of the thesis differed depending on measures completed and quality of brain images (study 1 n =127, study 2 n = 125, study 3 n = 112). Self-report measures of empathy (cognitive empathy, affective empathy: affective sharing, empathic concern, empathic distress) and internalising (anxiety and depressive) symptoms were administered, as well as a task-based measure of cognitive empathy. To investigate associations between empathy and internalising symptoms (study 1), canonical correlation analysis (CCA), a multivariate technique, was employed. Participants underwent MRI of the brain where T1-weighted structural images and resting-state functional sequences were collected. Grey matter volume, cortical thickness (study 2), seed-to-whole-brain and dual regression resting-state functional connectivity (study 3) were examined. Results: Study 1: CCA demonstrated that components of affective empathy, specifically affective sharing and empathic distress, were associated with internalising (particularly social anxiety) symptoms. Cognitive empathy was not associated with internalising symptoms. Study 2: In region of interest analyses, individual differences in affective and cognitive empathy were related to grey matter volume in the insula and the precuneus. Although these associations were of similar strength to those found in previous research, they did not survive correction for multiple comparisons. While no associations were detected between grey matter volume and empathy in exploratory whole-brain analysis, associations were found between empathic concern and cortical thickness in the right precentral gyrus. Study 3: Seed-to-whole-brain resting-state functional connectivity analyses demonstrated that both affective sharing and empathic distress were associated with decreased connectivity between key hubs of the DMN (precuneus and temporal parietal junction) and other widespread areas in the brain. Analyses of resting-state networks demonstrated that cognitive empathy was associated with both increased and decreased connectivity between dorsal and lateral regions of the DMN and regions outside of the DMN, including the pre- and postcentral gyrus, and the cerebellum. Affective empathy was associated with increased connectivity between the anterior SN and the pre- and postcentral gyrus. These relationships did not survive strict correction for multiple comparisons. Conclusions: Findings suggested that children who share others’ emotions strongly are more likely to experience anxiety, particularly of a social nature. This study also provided preliminary evidence that individual differences in self-reported empathy in children may be related to certain aspects of brain structure and functional connectivity. Overall, we observed less clear dissociations between the neural correlates of affective versus cognitive empathy, and more widely spread involvement from other brain areas. This potentially indicates reduced maturation and specialisation of the systems underlying affective versus cognitive empathy in this age group. However, more research is required to demonstrate reproducibility of the findings. More research investigating the mental health associations and neurobiological correlates of empathy in children is needed, particularly of a longitudinal nature, to track these changes across development. One limitation of our study is that the majority of our findings were based around self-report measures of empathy, which may not accurately reflect empathic ability.
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ItemBugs and Brains: The Gut and Mental Health Study Characterising the gut microbiota in anxiety, depression, irritable bowel syndrome, and their comorbidity( 2021)Background: The community of microorganisms inhabiting the gastrointestinal tract, collectively known as the gut microbiota, is intimately involved in the maintenance of host health. Comprehensive characterisation of the gut microbiota may enable us to better understand conditions whose pathophysiologies remain poorly understood, including internalising mental health disorders (anxiety and depressive disorders) and irritable bowel syndrome (IBS). While existing research has sought to characterise the gut microbiota in these conditions, the two systematic reviews included within this thesis reveal that studies have failed to consider essential confounders, including age, dietary intake, medication use, biological sex, and body mass index. The inadequate consideration of IBS and internalising disorder co-occurrence was also highlighted. Accordingly, this thesis aimed to investigate the gut microbiota in medication-free females with either IBS or an internalising disorder, as well as females with comorbid IBS and anxiety/depression, whilst controlling for key covariates (age, dietary intake, body mass index). Study 1 aimed to compare the gut microbiota of females with IBS relative to controls, as well as compare microbial composition between the three major IBS subtypes (IBS-diarrhoea, IBS-constipation, IBS-mixed). Study 2 aimed to characterise the gut microbiota of females with an internalising mental health disorder relative to controls. Study 3 aimed to compare and contrast the gut microbiota of females with comorbid IBS and an internalising disorder to controls, as well as to participants with IBS or an internalising disorder separately. Method: This thesis includes 162 females, recruited as part of the Bugs and Brains Study, who belonged to one of four groups: i) 42 controls; ii) 36 participants with an internalising disorder (depressive/anxiety disorder), but no IBS; iii) 42 participants with IBS, but no internalising disorder and iv) 42 participants with both an internalising disorder and IBS. Participants completed comprehensive questionnaires, attended a clinical mental health interview, collected a stool sample, and had their anthropometrics measured within a 1-month period. The gut microbiota was estimated using 16S rRNA gene sequencing on an Illumina MiSeq platform (V4 hypervariable region). Sequences were pre-processed using QIIME2 and following the DADA2 denoising pipeline to produce amplicon sequence variants (ASVs). ASVs were taxonomically assigned against the SILVA database (v.138). Data analysis was performed using R (v.1.3.1073), with the packages phyloseq and picante (alpha diversity), vegan (beta diversity), ANCOM-BC and MaAsLin2 (differential abundance), and randomForest (random forests). Results: Comprehensive multivariate analyses revealed key similarities with regards to the gut microbiota in IBS and anxiety/depression relative to controls. Females with IBS or an internalising disorder tended to be enriched in bacterial species associated with inflammation (e.g., Proteobacteria, Parabacteroides, Alistipes), and participants with either condition harboured a lower relative abundance of immunoregulatory SCFA-producing bacteria relative to controls (e.g., Barnesiella, Bacteroides eggerthii, Lachnospira, Faecalibacterium). Moreover, both the anxiety/depression and IBS groups had higher relative abundances of species known to degrade the essential amino acid tryptophan (i.e., Alistipes). While similar findings were observed in participants with comorbid anxiety/depression and IBS, the gut microbiota composition in this group was heterogeneous, and alterations were not more pronounced than those observed in participants with either disorder separately. Of note, higher abundances of mucin-degrading bacterial taxa were observed in IBS-C and IBS-M relative to controls and the IBS-D group (e.g., Akkermansia muciniphila), suggesting this alteration may be a unique to constipation. Conclusion: This thesis presents a comprehensive characterisation of the gut microbiota in females with IBS, an internalising mental health disorder, and their comorbidity. Similar alterations in the gut microbiota composition relative to controls were identified in these conditions and were not driven by their comorbidity, as participants in the IBS group had no lifetime history of a mental health disorder, and participants in the anxiety/depression group had no lifetime history of IBS. The included studies have great strength in highlighting these findings independent of key confounding factors, including age, dietary intake, BMI, and host sex. Participants in this study were also medication-free and without relevant medical comorbidities. While these studies are well placed to examine the cross-sectional associations between gut bacteria with IBS and internalising disorders, future research should seek to integrate functional analyses and examine other microbial members of the gut microbiota. Longitudinal research designs that combine taxonomic and functional investigations will elucidate the true complexity of gut microbe interactions with host mental health and gastrointestinal functioning.
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ItemPsychological outcomes of those experiencing early pregnancy loss( 2019)Early Pregnancy Loss (EPL), a loss occurring before 14 weeks gestation, is a relatively common event, occurring in about 20% of pregnancies. Although many women and their partners do not experience psychological difficulties associated with this loss, a significant minority experience intense and sustained grief, depression and anxiety symptoms. Reliable prevalence rates of serious psychological consequences for women are not well established, and those of partners are largely unknown. Furthermore, it is unclear what factors increase the risk for developing serious psychological symptoms. A range of potential risk factors have been identified, but remain under-researched and have not been rigorously studied. According to Cognitive Behavioural Theory, it is possible that cognitions surrounding the loss may be a particularly relevant risk factor. Yet this topic has rarely been examined and the studies that have are characterised by major methodological shortcomings. Importantly, partners are rarely included in these studies. This study aimed to determine prevalence rates for grief depression and anxiety over the first three and a half months after EPL. It also investigated cognitions after EPL through the Common-Sense Model of Illness Representation, and their link with grief, depression and anxiety symptoms. This study included 28 male partners and 68 women diagnosed with EPL who attended the Early Pregnancy Assessment Service at the Royal Women’s Hospital in Melbourne, Australia. Participants completed self-report measures two weeks (T1), and three months (T2) post-loss. These included the Perinatal Grief Scale, the Centre for Epidemiological Studies-Depression scale, the State Trait Anxiety Inventory, and the Illness Perception Questionnaire-Revised. Results showed that the prevalence of grief, depression and anxiety symptoms for women at T1 were 20.6%, 54.4%, and 52.9%, respectively. For partners, the prevalence rates were 0% for grief, 32.1% for depression, and 25% for anxiety. These rates decreased by T2. Illness perceptions were found to significantly predict grief, depression and anxiety. Unexpectedly, it was often better perceptions of the loss that predicted worse psychological outcomes. These findings provide new information about the experience of EPL and suggest that critical timing for assessment and treatment would be within the first 3 months after EPL. Treatment options, particularly in terms of grief theories presented in the introduction, are discussed. Considering the surprising results and that this is the first study to examine illness perceptions among this sample, replication of these results is needed.
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ItemThe SENSE Study (Sleep and Education: learning New Skills Early): long-term outcomes of a randomised controlled trial of a cognitive-behavioural and mindfulness-based group sleep intervention to prevent depression and improve anxiety in at-risk adolescents( 2019)Objective: Depression is one of the most common and debilitating mental health problems and its incidence dramatically increases during adolescence. Accumulating evidence suggests that adolescent depression can be prevented with psychosocial interventions, but there is still insufficient evidence to support their widespread implementation. Notably, there is a need for randomised controlled trials of novel interventions that are delivered to community-based adolescents identified to be at-risk for developing depression (i.e., targeted prevention) rather than the general adolescent population (i.e., universal prevention). Improving sleep represents a promising and innovative therapeutic target for the prevention of adolescent depression. Not only are sleep problems, including insufficient and poor-quality sleep, common during adolescence, they also tend to precipitate the onset of depression. Further, sleep interventions may be especially effective if they are delivered to adolescents experiencing anxiety. Anxiety, particularly generalised anxiety, and sleep problems often co-occur, and anxiety is also a risk factor for the development of depression. Evidence from a small but growing number of studies indicates that multicomponent cognitive-behavioural and mindfulness-based sleep interventions can improve sleep in adolescent samples. However, few studies have investigated depression and anxiety outcomes, particularly using randomised controlled designs, active control comparison conditions, extended follow-up periods, a multi-method assessment of sleep (i.e., subjective and objective measures) and mental health (i.e., diagnosis and symptoms) outcomes, and in community-based samples. Notably, no randomised controlled trial has investigated whether a sleep intervention can prevent the first onset of major depressive disorder (MDD) in adolescents. The current study was designed to address these gaps in the literature. The primary aim of the study was to investigate the long-term efficacy of a seven-week cognitive-behavioural and mindfulness-based group sleep intervention for the targeted prevention of first onset MDD and improvement of depressive symptoms over a two-year follow-up period in community-based adolescents experiencing concurrent high levels of anxiety symptoms and sleep problems (i.e., ‘at-risk’ for depression). Given the association between sleep and anxiety, notably generalised anxiety disorder (GAD), and dearth of adolescent sleep intervention studies investigating anxiety outcomes, the secondary and exploratory aim of the study was to investigate the long-term efficacy of the sleep intervention for preventing the incidence of GAD and improving anxiety symptoms over a two-year follow-up period. Importantly, the study aimed to demonstrate that any beneficial effects to depression and/or anxiety outcomes occurred via the putative mechanism of improvements to subjective and objective indices of sleep. As best can be determined, the research reported in this thesis represents the only attempt to date to prevent first onset MDD by improving sleep in an adolescent sample, and the only randomised controlled trial of an adolescent sleep intervention to examine anxiety outcomes over a two-year follow-up period. It was predicted that, compared to adolescents allocated to the active control (study skills) intervention, adolescents allocated to the sleep treatment intervention would: show greater improvements in subjective and objective indices of sleep (i.e., reduced sleep onset latency, increased total sleep time, better overall sleep quality, and reduced weekday bedtime intra-individual variability and weekday-to-weekend bedtime shift) immediately following the intervention and over the two-year follow-up period; be less likely to develop first onset MDD during, and would report lower levels of depressive symptoms at, the two-year follow-up (primary outcomes); and would be less likely to develop new onset GAD during, and would report lower levels of anxiety symptoms at, the two-year follow-up (secondary outcomes). Further, it was predicted that any beneficial long-term effects for depression and anxiety outcomes (i.e., lower incidence of MDD or GAD and/or reduction in depressive and anxiety symptoms) would be significantly mediated by improvements in sleep associated with the sleep treatment intervention (i.e., sleep improvements immediately post-intervention and/or over the two-year follow-up period). Methods: Participant recruitment and eligibility assessments occurred from January 2013 to June 2014. A school-based screening (n = 1491) was conducted at 23 secondary schools (14 Government, 4 Catholic, 5 Independent) in metropolitan Melbourne, Australia, to identify community-based adolescents with high levels of self-reported sleeping problems (score > 4 on the Pittsburgh Sleep Quality Index; PSQI) and anxiety symptoms (score > 32 males/ > 38 female on the Spence Children’s Anxiety Scale; SCAS). Consenting participants who met screening criteria (n = 218) completed semi-structured diagnostic clinical interview (Kiddie-Schedule for Affective Disorders and Schizophrenia for school-age children-Present and Lifetime version; K-SADS-PL) at the University of Melbourne, primarily to exclude individuals (n = 30) with a lifetime history of MDD, consistent with the study’s aim to prevent first onset depression. Eligible participants (n = 144) were randomised (1:1 allocation on an individual basis, and conditions were balanced for age, gender and presence or absence of current anxiety disorder at baseline) to either a seven-week, face-to-face, multicomponent cognitive-behavioural and mindfulness-based group sleep improvement treatment intervention (Sleep SENSE; n = 71) or an attention-matched active control study skills intervention (Study SENSE; n = 73). The Sleep SENSE intervention aimed to address common sleep problems including insufficient sleep duration, prolonged sleep onset, and variability in sleep timing, and included anxiety management components to assist with managing anxiety during the pre-sleep period. Mental health and sleep were assessed using: the K-SADS-PL (for MDD and GAD diagnosis); the Center for Epidemiologic Studies-Depression scale (CES-D; depressive symptoms); the SCAS (anxiety symptoms); the PSQI (self-reported sleep onset latency, total sleep time, overall sleep quality); and week-long actigraphy with sleep diary (objective sleep onset latency, total sleep time, weekday bedtime intra-individual variability, and weekday-to-weekend bedtime shift). Assessments occurred on three occasions–pre-intervention, post-intervention, and two-years after the completion of the intervention. All outcome assessments were administered by researchers who were blind to participants’ intervention assignment. Statistical analyses: All analyses used a modified intention-to-treat approach. Specifically, the final analysed sample (n = 122, sleep treatment n = 62, control intervention n = 60; 60% female; M age = 14.5 years, SD = 0.95, range 12.04 to 16.31 years) included participants who were eligible for and started the interventions, including those who dropped out of the interventions or were lost to follow-up (n = 13) but excluded participants who were identified as ineligible after randomisation (n = 2) and those who were randomised but never started the interventions (sleep treatment n = 10, control intervention n = 10). Latent growth curve modelling with multiple mediation analysis was used to test the effect of condition (i.e., sleep treatment or control intervention) on the long-term depression (i.e., presence or absence of MDD diagnosis, and severity of depressive symptoms) and anxiety (i.e., presence or absence of GAD diagnosis, and severity of anxiety symptoms) outcomes via improvements in the seven sleep variables immediately post-intervention (i.e., ‘initial status’ which was centred at the post-intervention time point) and over the two-year follow-up period (i.e., average linear ‘rate of change’ scaled to represent change per year). That is, the latent growth process of a sleep variable (i.e., the latent variables of initial status and rate of change) was used the mediator in the tested models. In total, 28 separate models were estimated using Mplus (Version 7) software using maximum likelihood estimation with robust standard errors. Results: Regarding the primary outcomes, there was no statistical evidence that the sleep treatment intervention improved subjective or objective indices of sleep immediately post-intervention or over the two-year follow-up period, or significantly predicted the presence or absence of major depressive disorder during, or reductions in depressive symptoms at, the two-year follow-up, relative to the active control intervention. Regarding the secondary outcome, the sleep treatment intervention did not significantly predict reductions on anxiety symptoms at two-year follow-up. However, the sleep treatment intervention significantly reduced the conditional odds of having GAD during the two-year follow-up period by a factor of seven on average, relative to the active control intervention, although confidence intervals suggested a small effect. There were no statistically significant indirect effects in any of the model investigated. Regardless of condition, participants’ subjective (B = -1.77, 95% CI [-3.47, -0.07]) and objective (B = -4.53, 95% CI [-7.96, -1.10]) sleep onset latency and subjective total sleep time (B = -0.18, 95% CI [-0.31, -0.05]) decreased over time, and weekday bedtime intra-individual variability increased over time (B = 7.99, 95% CI [2.11, 13.86]). In addition, poorer subjective sleep quality (B = 1.46, 95% CI [0.38, 2.54]) and less objective total sleep time (B = -3.31, 95% CI [-6.33, -0.28]) immediately post-intervention predicted depressive symptoms at two-year follow-up, and reductions in weekday bedtime intra-individual variability over time were associated with a decreased likelihood of GAD during the two-year follow-up (B = -0.52, 95% CI [-0.86, -0.18]). Conclusions: Together, the findings do not support the long-term efficacy of a targeted multicomponent cognitive-behavioural and mindfulness-based group sleep intervention for the improvement of sleep problems and prevention of first onset major depressive disorder in a community-based sample of at-risk adolescents. However, they tentatively suggest that anxiety may be more responsive to the sleep intervention than depression. In the context of a robust study design, the findings are hypothesis-generating and raise important considerations for the design of future clinical trials investigating the role of adolescent sleep interventions on emerging psychopathology. Funding: Australian National Health and Medical Research Council Grant (APP1027076). Trial Registration: Australian New Zealand Clinical Trials Registry (ACTRN12612001177842; prospectively registered on 6th November 2012).
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ItemThe psychological significance of different adolescent perfectionist profiles( 2018)Perfectionism has historically been regarded as a significant risk factor in the development and maintenance of psychological disorders. However, perfectionism is not always associated with poor psychological outcomes. Indeed, contemporary multidimensional perfectionism questionnaires include both adaptive and maladaptive dimensions, and recent research suggests a better understanding of perfectionism is achieved by focusing on combinations of these dimensions (rather than individual dimensions) to identify adaptive and maladaptive perfectionist subgroups/profiles. The purpose of the research reported herein was to investigate the nature of these subgroups in adolescents. Study 1 (n = 105, 17-year-olds) (Sironic & Reeve, 2012) examined perfectionist subgroups based on the Almost Perfect Scale-Revised (APS-R: Slaney, Rice, Mobley, Trippi, & Ashby, 2001), as well as the Depression Anxiety Stress Scales (DASS: Lovibond & Lovibond, 1995) and Motivated Strategies for Learning Questionnaire (Pintrich, Smith, Garcia, & McKeachie, 1991). It was hypothesised that four meaningful perfectionist subgroups could be derived from the APS-R’s High Standards and Discrepancy dimensions, and that each subgroup would rate their anxiety, depression, stress, and learning metacognitive beliefs differently. As predicted, cluster analysis of High Standards and Discrepancy dimension responses yielded four subgroup profiles: (1) high High Standards/low Discrepancy; (2) high High Standards/high Discrepancy; (3) low High Standards/high Discrepancy, and; (4) low High Standards/low Discrepancy). Subgroups were related to psychopathological symptoms and learning metacognitions in predictable ways. The low High Standards/high Discrepancy subgroup claimed to use metacognitive self-regulation significantly less often than the high High Standards/low Discrepancy and high High Standards/High Discrepancy subgroups; and the two high Discrepancy subgroups exhibited significantly higher depression ratings than the high High Standards/low Discrepancy subgroup. These findings support a four-subgroup account of perfectionism. The findings were interpreted as suggesting that the low High Standards/high Discrepancy subgroup might lack insight into (or deny) their perfectionistic tendencies—a tendency often associated with psychological disorders. Some suggest that perfectionism may be either externally and/or internally motivated. Insofar as this is correct, it is possible that students in this fourth subgroup are not seeking their own high standards but adopting the standards of significant others. Study 2 was designed to investigate this possibility. In Study 2 (n = 938, 14- to 17-year-olds) (Sironic & Reeve, 2015), high school students completed three commonly used perfectionism questionnaires (i.e., the Frost Multidimensional Perfectionism Scale, FMPS: Frost, Marten, Lahart, & Rosenblate, 1990; Child and Adolescent Perfectionism Scale, CAPS: Flett, Hewitt, Boucher, Davidson Munro, 2000; and APS-R), as well as the DASS. Preliminary analyses revealed commonly observed factor structures for each perfectionism questionnaire. Exploratory factor analysis of item responses from the three questionnaires (combined) yielded a four-factor solution (factors were labelled High Personal Standards, Concerns, Doubts and Discrepancy, Externally Motivated Perfectionism, and Organisation and Order). A latent class analysis of individuals’ mean ratings on each of the four factors yielded a six-class solution. Three of the six classes represented perfectionist subgroups (labelled adaptive perfectionist, externally motivated maladaptive perfectionist, and mixed maladaptive perfectionist) and three non-perfectionist subgroups (labelled non-perfectionist A, non-perfectionist B, and order and organisation non-perfectionist). Each subgroup was meaningfully associated with depression, anxiety, and stress symptoms. The mixed maladaptive perfectionist and externally motivated maladaptive perfectionist subgroups reported significantly higher levels of self-reported depression, anxiety, and stress compared with the adaptive perfectionist and non-perfectionist subgroups. The mixed maladaptive perfectionist and externally motivated maladaptive perfectionist subgroups did not differ in their depression and anxiety ratings, but the mixed maladaptive perfectionist subgroup reported significantly greater levels of stress than the externally motivated maladaptive perfectionist subgroup. The same three perfectionism questionnaires used in Study 2 were used in Study 3 (n = 299, 19-year-olds) (Sironic, Paul, & Reeve, under review at the time of thesis submission). Study 3 sought to establish whether externally motivated perfectionism was also an important aspect in a university undergraduate sample, and whether perfectionists’ beliefs about thinking (their clinical metacognitive beliefs, as measured by the Meta-Cognitions Questionniare-30 Shortened Version (MCQ-30: Wells & Cartwright-Hatton, 2004)) may differentiate perfectionist subgroups and help better explain their DASS depression, anxiety, and stress symptoms. Study 2’s four-factor solution was confirmed by factor analysis of items from the three perfectionism questionnaires, and the same three perfectionist subgroups were identified using latent class analysis of individuals’ average ratings on each factor. Clinical metacognitive beliefs and depression, anxiety, and stress ratings varied in expected ways in the different subgroups, with the externally motivated maladaptive perfectionists at greatest risk of poor psychological outcomes. Overall, the findings of the three studies offer new insights into the conceptualisation of adolescent perfectionism. Support was found for the existence of three perfectionist subgroups (one adaptive, two maladaptive) in adolescence. Findings showed that three out of 10 students were classified as maladaptive perfectionists, and that maladaptive perfectionists were more prevalent than adaptive perfectionists. Notably, the externally motivated maladaptive perfectionist subgroup seemed to possess the poorest metacognitive skills and be most at risk of experiencing psychopathology symptoms. These findings have implications for the treatment of perfectionists. They suggest that intervention strategies are needed to address issues associated with externally motivated perfectionism (i.e., the impact of parents, teachers or significant others); and that enhancing metacognitive skills could be included as part of an intervention strategy.
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ItemThe effect of reward and punishment on inhibitory control in anxiety( 2017)Anxiety is associated with behavioural avoidance and inhibition that has been shown to influence cognitive control performance; however, it is not clear whether highly trait anxious individuals are less sensitive to reward or more sensitive to punishment when exerting self-control. Trait anxiety is commonly measured in both clinical and research settings using the State Trait Anxiety Inventory trait anxiety scale (STAI T-Anxiety scale). Despite its popularity, there remain unanswered questions surrounding the factor structure and convergent and discriminant validity of this scale. In addition, studies that have investigated whether high trait anxiety as measured by the STAI T-Anxiety scale is associated with a general inhibitory control deficit have reported mixed results. The broad aims of the current research project were to 1) investigate the factor structure of the STAI T-Anxiety scale and examine its convergent and discriminant validity, 2) use a stop signal task to examine whether individuals high in trait anxiety show inhibitory control (action cancellation) deficits, and 3) use a novel monetary incentive control task (MICT) to examine the effect of presenting cues and feedback indicating reward and punishment on inhibitory control in individuals high in trait anxiety. To examine factor structure, 947 healthy participants completed the STAI T-Anxiety scale and an exploratory factor analysis was performed. Convergent and discriminant validity were investigated using the Pearson product-moment correlation coefficient. In a second study, 76 participants who were either low or high in trait anxiety completed a stop signal task and independent samples t-tests were used to analyse differences in stop signal task performance between the groups. Ninety-nine participants then completed an online version of the stop signal task and the Pearson product-moment correlation coefficient was used to investigate whether trait anxiety was associated with stop signal task performance. In a final study 48 participants high and low in trait anxiety completed the MICT while they underwent functional magnetic resonance imaging. Results indicated: 1) the STAI T-Anxiety scale was comprised of two method factors but could also be represented as a single dimension. The scale had limited discriminant validity and failed to adequately measure somatic aspects of anxiety. 2) There was no significant difference in stop signal task performance between individuals low and high in trait anxiety, and no significant correlation between stop signal performance and trait anxiety measured continuously. 3) Individuals high in trait anxiety slowed reaction times to go stimuli during the MICT. There were no significant group differences in networks involved in inhibitory control, cognitive control, or reward and punishment during the anticipation, stopping or feedback epochs of the MICT. During anticipation there were group differences in posterior default mode areas, and during feedback there were group differences in right superior/middle frontal gyrus and right insula activity. These results suggest that 1) the STAI T-Anxiety scale may benefit from revision, 2) there appears to be no general inhibitory control (action cancellation) deficit in high trait anxiety, and 3) high compared to low trait anxious individuals apply greater effort and demonstrate dysfunction in brain structures that are part of important networks, including the default mode network, the ventral attention network and the cingulo-opercular network.
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ItemPsychological and neurobiological mechanisms underpinning chronic tinnitus( 2017)Chronic tinnitus, the phenomenon of a ringing, buzzing or hissing type sound in the ears or head is a prevalent health condition affecting 10-15% of the general population (Henry, Dennis, & Schechter, 2005a). It can have significant negative effects on an individual’s health and wellbeing and is associated with significant economic burden (Maes, Cima, Vlaeyen, Anteunis, & Joore, 2013; Tyler & Baker, 1983). At present, there is no cure for chronic tinnitus, likely due to the lack of consensus regarding the mechanisms maintaining the presence or impact of chronic tinnitus on individuals experiencing this condition. This thesis aimed to determine if psychological factors, and associated neural networks, could be maintaining awareness of the tinnitus sound and the severity of its impact. To achieve this objective, four studies were conducted utilising meta-analytic, questionnaire, cognitive and neuroimaging techniques. The first study comprehensively and systematically reviewed current literature regarding the psychological functioning of adults with chronic tinnitus. Results suggest that a heterogeneous array of psychological functions may be involved in the experience of chronic tinnitus, particularly emotional and cognitive functions, with meta-analyses providing consistent evidence for a role of reduced emotional wellbeing in both the presence and impact of chronic tinnitus. Study 2 and 3 further investigated the role of emotional and cognitive factors respectively in chronic tinnitus. Specifically, Study 2 investigated possible interactions between psychological factors and the vicious cycle of hypervigilance to the tinnitus sound in a heterogeneous community sample of 81 adults with chronic tinnitus. While analyses replicated the presence of the vicious cycle, this was conditional on the experience of depressive symptoms. Study 3 aimed to determine the contribution of cognitive functioning to chronic tinnitus. Compared to healthy-hearing individuals (n=26) people with chronic tinnitus (n=26) showed significant impairments in cognitive control, inhibitory control and increased symptoms of depression, with depressive symptoms and cognitive control successfully discriminating between people with and without chronic tinnitus. Combined, these studies suggest that disruption of specific large-scale neurocognitive networks proposed to underpin a range of psychological and cognitive symptoms; particularly those associated with depression may also underpin chronic tinnitus. As such, the final study of this thesis investigated the functioning of our stable neurocognitive networks, specifically the cognitive control network, in people with chronic tinnitus (n=15) and matched controls (n=15). While both groups successfully engaged the cognitive control network, the chronic tinnitus group exhibited subtle disruptions to a core node of this network, namely the right middle frontal gyrus, revealing both attenuated activation during cognitive engagement. This region also showed decreased connectivity with a node of the salience network, the right anterior insula, and increased connectivity with nodes of the autobiographical memory network, namely left posterior cingulate cortex and left medial prefrontal cortex. Together, the results of this thesis identify a failure in the process of attention-switching and the associated neurocognitive networks as a core mechanism underpinning the persistent awareness and pervasive impact of chronic tinnitus. This provides a novel framework, the Attention-Switching Model, for investigating both the experience of tinnitus, and potential treatments to help people with chronic tinnitus.
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ItemThe SENSE study (Sleep and Education: learning New Skills Early): postintervention effects of a randomised controlled trial of a cognitive-behavioural and mindfulness-based group sleep improvement intervention among at-risk adolescents( 2016)Objective: There is growing recognition that many adolescents obtain insufficient and/or poor quality sleep. Sleep problems are also a major risk factor for the emergence of mental health problems in adolescence. However, few studies have examined disturbed sleep as a potential mechanism in the treatment and prevention of mental health problems among adolescents. Adolescent sleep problems can be treated using a range of approaches. School-based sleep education programs, which are typically delivered to whole school classes, have been shown to have little impact on sleep behaviour or mental health. Cognitive-behavioural and mindfulness-based sleep programs, which are typically delivered to at-risk or already symptomatic adolescents, have been shown to be more effective in improving sleep and emotional distress, but studies evaluating their effectiveness have been limited in several ways, including small sample sizes and inadequate/lack of control groups. We conducted a systematic review and meta-analysis examining the efficacy of cognitive-behavioural sleep interventions among adolescents. Searches of PubMed, PsycINFO, CENTRAL, EMBASE, and MEDLINE were performed from inception to 1 May 2016. Eight trials were selected (n=234, mean age=15.24 years; female=63.18%). Main outcomes were subjective (sleep diary/questionnaire) and objective (actigraphy) total sleep time (TST), sleep onset latency (SOL), sleep efficiency (SE), and wake after sleep onset (WASO). There was a small number of randomised controlled trials (RCTs; n=3), and a high risk of bias across the RCTs; therefore within sleep condition meta-analyses were examined. At post-intervention, subjective TST improved by 29.47 minutes (95% CI = 17.18, 41.75), SOL by 21.44 minutes (95% CI = -30.78, -12.11), SE by 5.34% (95% CI = 2.64, 8.04), and WASO by a medium effect size (d = 0.59 [95% CI = 0.36, 0.82). Objective SOL improved by 16.15 minutes (95% CI = -26.13, -6.17), and SE by 2.82% (95% CI = 0.58, 5.07). Global sleep quality, daytime sleepiness, depression, and anxiety also improved. Gains were generally maintained over time. Our meta-analysis provides preliminary evidence that cognitive-behavioural sleep interventions are an effective treatment for adolescent sleep problems, producing clinically meaningful responses within active treatment conditions. Their efficacy is maintained over time, and results in significant alleviation of sleep problems and improvement in functional outcomes. However, further large-scale, high-quality RCTs are needed to confirm these findings. The aim of this thesis was to investigate the post-intervention effects of a cognitive-behavioural/mindfulness-based group sleep intervention on sleep, mental health, and cognitive style among at-risk adolescents. The study went beyond simply measuring treatment outcomes to also evaluate mechanisms of change. Based on the behavioural, cognitive, hyperarousal, and transdiagnostic models of insomnia, a number of specific mediators were hypothesised to account for therapeutic change in cognitive-behavioural and mindfulness-based sleep interventions for adolescents, including earlier bedtimes, more consistent bedtimes, increased sleep hygiene awareness, and decreased dysfunctional beliefs and attitudes about sleep, worry, rumination, pre-sleep arousal, anxiety, and depression. Method: A RCT was conducted across Victorian secondary schools in Melbourne, Australia. Adolescents (aged 12-17 years) were recruited using a two-stage procedure, consisting of an in-school screening (n=1491) followed by a diagnostic interview for those meeting screening criteria (n=218), to identify students with high levels of anxiety and sleeping difficulties, but without past or current major depressive disorder (n=144). Eligible participants were randomised into either a sleep improvement intervention (‘Sleep SENSE’) or an active control ‘study skills’ intervention (‘Study SENSE’). One hundred twenty three participants began the interventions (Female=60%; Mean Age=14.48, SD=0.95), with 60 in the sleep condition and 63 in the control condition. All participants were required to complete a battery of mood, sleep and cognitive style questionnaires, seven-days of wrist actigraphy (an objective measurement of sleep), and sleep diary entry at pre-and-post intervention. Results: The sleep intervention condition was associated with significantly greater improvements in subjective sleep (global sleep quality, sleep onset latency, daytime sleepiness), objective sleep onset latency, anxiety, pre-sleep arousal, and sleep knowledge compared with the control intervention condition, with small-medium effect sizes. Parallel multiple mediation models showed that there were bidirectional relationships between improvements in subjective sleep quality and pre-sleep arousal/global anxiety. Conclusion: The SENSE study is an efficacy trial of a selective group-based sleep intervention for the treatment and prevention of sleep and mental health problems among at-risk adolescents experiencing both sleep and anxiety disturbance. The study provides evidence, using a methodologically rigorous design, including an active control comparison condition, that a multi-component group sleep intervention that includes cognitive-behavioural and mindfulness-based therapies, can improve wakefulness in bed variables, daytime dysfunction, anxiety, pre-sleep arousal, and sleep knowledge among at-risk adolescents. The results also provide evidence that pre-sleep arousal and anxiety are particularly important for adolescents’ perceived sleep quality, and should be key targets for new treatments of adolescent sleep problems. Public Health Significance: Given the high prevalence of adolescent sleep and internalising problems, the implications of an effective adolescent sleep intervention for clinical practice and public policy are potentially significant. However, changing sleep behaviour, especially objective measures of sleep, in this age group, has been challenging. This thesis shows that the Sleep-SENSE program can improve objective and subjective indices of sleep, as well as anxiety symptoms, when compared to an active control intervention. The results also showed that reductions in pre-sleep hyperarousal represent a key psychophysiological mechanism for therapeutic improvements in subjective sleep problems among anxious adolescents, and that cognitive behavioural and mindfulness-based sleep interventions should be directed towards adolescents with vulnerability for hyperarousal. Sleep SENSE is one of the only interventions demonstrated to be efficacious in improving sleep and mental health amongst vulnerable adolescents. Furthermore, the program is likely to be cost-effective - it involves a simple screening process and a group intervention format - and could be disseminated to a wide range of clinical and non-clinical settings in primary care, mental health, adolescent health and sleep medicine, and may assist in the treatment and prevention of adolescent sleep and mental health problems. The intervention also lends itself to flexible modes of delivery (e.g., non-specialist practitioners, group settings, individual settings, school-based, internet and other e-health modes of delivery), further enhancing its translational potential.
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ItemInvestigating anxiety and depression in adults with low intellectual ability( 2016)Adults with low ability have been routinely excluded from general population research that supports cognitive behavioural therapy for anxiety and depression. Even studies using samples of adults with ability below average exclude potential participants with profound and severe intellectual disability, without testing task-specific capacity. Consequently, little is known about the viability of cognitive models of anxiety and depression amongst adults with low ability. The present study addresses this through four main lines of enquiry: inclusion of all abilities through screening and validity procedures; prevalence of signs and symptoms of anxiety and depression as well as the impact of life stressors on these; cognitions and their specificity for anxiety and depression; and the impact of anxiety and ability on attentional responses to emotional stimuli. A sample of 70 adults from each level of low ability, unselected for signs or symptoms of anxiety and depression, was recruited from community-based disability support services. Participants were screened for general (receptive language) and task-specific abilities, interviewed for symptoms of anxiety and depression and disorder related cognitions then administered a visual-probe task with emotional face stimuli. Informants provided data on signs of mental ill-health, stressful life events and adaptive behaviour. Task-specific validity procedures governed data included for analysis. The inclusionary approach meant participants from all ability levels below average were included. Task-specific screening measures were superior to receptive language in predicting validity on research tasks, especially for participants with severe and profound intellectual disability. Dimensional measurements meant ability variables could be covaried or controlled in most analyses. Mean levels of signs and symptoms were lower than those in available reference studies, as were the rates of clinical level cases. General ability was positively correlated with signs of anxiety and depression but was not related to symptoms. Similarly, the number of life events was correlated with all scales on the measure of signs but not with symptoms of anxiety or depression. The lack of concordance highlights the gap between what informants see and what respondents think and feel. Learning a person’s subjective interpretation of events can help understand their emotions and behaviour. Depressive cognitions uniquely predicted significant variance in symptoms of depression but only ability, rather than anxious cognitions, predicted anxiety symptoms. Cognitive content-specificity for depression bolsters support for the use of cognitive behaviour therapy but further research into the relationship between ability and anxiety is required. The lack of directional bias in selective attention to emotional faces in any of the anxiety or ability groups means cognitive-motivational theory was not supported but future studies should address methodological issues. Attentional control theory was supported but the slowing of emotional face processing caused by high anxiety, but not depression needs replication. Trials of attentional training may be justified to reduce anxiety. Further research into cognitive models of anxiety and depression is urgently needed and future studies should ask theoretical as well as clinical questions.
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ItemAssessing the relationship between executive function, coping, stress, depression, anxiety and quality of life in multiple sclerosis( 2014)Background: Compared to healthy controls, people with multiple sclerosis (PwMS) use fewer adaptive and more maladaptive coping strategies when managing stressors and they experience higher rates of depression, anxiety and adjustment disorders. In addition, PwMS experience a high prevalence of cognitive impairment, including executive dysfunction, which has been linked to depression and anxiety. Aims: The current study examined the relationship between executive function, coping strategy use and psychosocial adjustment outcomes including stress, depression, anxiety and quality of life (QoL) in PwMS. The research assessed i) the ability of coping strategies and executive function to predict maladaptive and adaptive adjustment outcomes, and ii) the relationship between executive function and coping and whether there is a moderating and mediating relationship of different coping strategies between executive function and psychosocial adjustment in PwMS. Methods: Participants (N=107) with relapsing remitting or secondary progressive multiple sclerosis were administered tasks of executive function and completed self-report measures of stress, depression, anxiety, QoL and coping. Results: Consistent with expectations, stress, depression, anxiety and QoL were predicted by adaptive and maladaptive coping styles. Similarly, coping strategies, total coping and an adaptive coping index were predicted by tasks of executive function. Lower scores on tasks of executive function best predicted higher use of maladaptive strategies, but also adaptive strategies, while higher scores were limited in their ability to predict adaptive coping strategies. Tasks of executive function that most often predicted coping strategies included tasks of working memory, cognitive flexibility, information processing and attention. However, contrary to expectations, there was limited support for a relationship between tasks of executive function and psychosocial adjustment outcomes. An indirect relationship was found between executive function performance and adjustment through individual maladaptive coping strategies and adaptive coping strategies, as well as for an index of adaptive coping. Higher executive function performance was related to better adjustment via lower venting and behavioral disengagement, as well as higher scores on the adaptive coping index, whereas lower executive function performance was related to better adjustment via higher growth and acceptance. In general, better executive function and psychosocial adjustment was associated with minimal use of adaptive coping strategies, or greater use of maladaptive coping strategies. Conclusion: Executive function and psychosocial adjustment is mediated and moderated by coping strategies used by PwMS. Well-preserved executive function provides relative protection from poorer adjustment in the presence of high maladaptive or low adaptive coping. PwMS who perform poorly on tasks of executive function benefit from using less cognitively demanding coping strategies to enhance adjustment outcomes and this area that would benefit from further research to underpin effective intervention strategies. Findings from this study will assist with development of patient resources and patient management aimed at enhancing adaptive psychosocial adjustment in PwMS.