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34 result(s) for "Duggan, Danielle S."
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Trait Mindfulness as a Limiting Factor for Residual Depressive Symptoms: An Explorative Study Using Quantile Regression
Mindfulness has been suggested to be an important protective factor for emotional health. However, this effect might vary with regard to context. This study applied a novel statistical approach, quantile regression, in order to investigate the relation between trait mindfulness and residual depressive symptoms in individuals with a history of recurrent depression, while taking into account symptom severity and number of episodes as contextual factors. Rather than fitting to a single indicator of central tendency, quantile regression allows exploration of relations across the entire range of the response variable. Analysis of self-report data from 274 participants with a history of three or more previous episodes of depression showed that relatively higher levels of mindfulness were associated with relatively lower levels of residual depressive symptoms. This relationship was most pronounced near the upper end of the response distribution and moderated by the number of previous episodes of depression at the higher quantiles. The findings suggest that with lower levels of mindfulness, residual symptoms are less constrained and more likely to be influenced by other factors. Further, the limiting effect of mindfulness on residual symptoms is most salient in those with higher numbers of episodes.
Staying well after depression: trial design and protocol
Background Depression is often a chronic relapsing condition, with relapse rates of 50-80% in those who have been depressed before. This is particularly problematic for those who become suicidal when depressed since habitual recurrence of suicidal thoughts increases likelihood of further acute suicidal episodes. Therefore the question how to prevent relapse is of particular urgency in this group. Methods/Design This trial compares Mindfulness-Based Cognitive Therapy (MBCT), a novel form of treatment combining mindfulness meditation and cognitive therapy for depression, with both Cognitive Psycho-Education (CPE), an equally plausible cognitive treatment but without meditation, and treatment as usual (TAU). It will test whether MBCT reduces the risk of relapse in recurrently depressed patients and the incidence of suicidal symptoms in those with a history of suicidality who do relapse. It recruits participants, screens them by telephone for main inclusion and exclusion criteria and, if they are eligible, invites them to a pre-treatment session to assess eligibility in more detail. This trial allocates eligible participants at random between MBCT and TAU, CPE and TAU, and TAU alone in a ratio of 2:2:1, stratified by presence of suicidal ideation or behaviour and current anti-depressant use. We aim to recruit sufficient participants to allow for retention of 300 following attrition. We deliver both active treatments in groups meeting for two hours every week for eight weeks. We shall estimate effects on rates of relapse and suicidal symptoms over 12 months following treatment and assess clinical status immediately after treatment, and three, six, nine and twelve months thereafter. Discussion This will be the first trial of MBCT to investigate whether MCBT is effective in preventing relapse to depression when compared with a control psychological treatment of equal plausibility; and to explore the use of MBCT for the most severe recurrent depression - that in people who become suicidal when depressed. Trial Registration Current Controlled Trials: ISRCTN97185214.
Mindfulness-Based Cognitive Therapy and Self-Discrepancy in Recovered Depressed Patients with a History of Depression and Suicidality
Long-term vulnerability to depression is related to the presence of perceived discrepancies between the actual self and ideal self-guides. This study examined the immediate effects of an 8-week course of Mindfulness-Based Cognitive Therapy (MBCT) on self-discrepancies in individuals currently in recovery, with a history of affective disorder that included suicidal ideation and behaviour. Results indicated significant time  ×  group interactions for both ideal self similarity and ideal self likelihood ratings, primarily accounted for by increases in self-discrepancy from pre-test to post-test in the waiting list group which were not seen in those receiving MBCT. Changes in self-discrepancy were not associated with changes in residual depressive symptoms, but in the MBCT group there was a significant association between increases in ideal self similarity and the adoption of more adaptive ideal self-guides post treatment. MBCT may protect against increases in self-discrepancy in people vulnerable to relapse to depression and may also facilitate a shift in the goals of self-regulation.
Modes of Mind and Suicidal Processes
This chapter explores the hypothesis that the way people react to distressing stimuli, including the presence of suicidal ideation, is critical in determining whether these problems become “adhesive”, perpetuating a sense of entrapment. In particular, it suggests that the greatest difficulties arise when the presence of distressing situations, thoughts, or feelings immediately and automatically triggers a sense of discrepancy; a mode of mind that has developed to support discrepancy reduction is adopted to solve the problem, but fails to do so; and there is a tendency to automatically resort to increasingly maladaptive forms of discrepancy‐based processing, such as rumination and experiential avoidance, which over time may become habitual responses to discrepancies of all types. The chapter also presents the findings of several studies which, using convergent methodologies and examines elements of the mode of mind hypothesis as it applies to suicidal people.
Circulating proteins to predict COVID-19 severity
Predicting COVID-19 severity is difficult, and the biological pathways involved are not fully understood. To approach this problem, we measured 4701 circulating human protein abundances in two independent cohorts totaling 986 individuals. We then trained prediction models including protein abundances and clinical risk factors to predict COVID-19 severity in 417 subjects and tested these models in a separate cohort of 569 individuals. For severe COVID-19, a baseline model including age and sex provided an area under the receiver operator curve (AUC) of 65% in the test cohort. Selecting 92 proteins from the 4701 unique protein abundances improved the AUC to 88% in the training cohort, which remained relatively stable in the testing cohort at 86%, suggesting good generalizability. Proteins selected from different COVID-19 severity were enriched for cytokine and cytokine receptors, but more than half of the enriched pathways were not immune-related. Taken together, these findings suggest that circulating proteins measured at early stages of disease progression are reasonably accurate predictors of COVID-19 severity. Further research is needed to understand how to incorporate protein measurement into clinical care.
Facilitators, barriers, and key influencers of breastfeeding among low birthweight infants: a qualitative study in India, Malawi, and Tanzania
Background Low birthweight (LBW) infants are at increased risk of morbidity and mortality. Exclusive breastfeeding up to six months is recommended to help them thrive through infection prevention, growth improvements, and enhancements in neurodevelopment. However, limited data exist on the feeding experiences of LBW infants, their caregivers and key community influencers. The qualitative component of the Low Birthweight Infant Feeding Exploration (LIFE) study aimed to understand practices, facilitators, and barriers to optimal feeding options in the first six months for LBW infants in low-resource settings. Methods This study was conducted in four sites in India, Malawi, and Tanzania from July 2019 to August 2020. We conducted 37 focus group discussions with mothers and family members of LBW infants and community leaders and 142 in-depth interviews with healthcare providers, government officials, and supply chain and donor human milk (DHM) experts. Data were analyzed using a framework approach. Results All participants believed that mother’s own milk was best for LBW infants. Direct breastfeeding was predominant and feeding expressed breast milk and infant formula were rare. DHM was a new concept for most. Adequate maternal nutrition, lactation support, and privacy in the facility aided breastfeeding and expression, but perceived insufficient milk, limited feeding counseling, and infant immaturity were common barriers. Most believed that DHM uptake could be enabled through community awareness by overcoming misconceptions, safety concerns, and perceived family resistance. Conclusion This study fills an evidence gap in LBW infant feeding practices and their facilitators and barriers in resource-limited settings. LBW infants face unique feeding challenges such as poor latching and tiring at the breast. Similarly, their mothers are faced with numerous difficulties, including attainment of adequate milk supply, breast pain and emotional stress. Lactation support and feeding counseling could address obstacles faced by mothers and infants by providing psychosocial, verbal and physical support to empower mothers with skills, knowledge and confidence and facilitate earlier, more and better breast milk feeding. Findings on DHM are critical to the future development of human milk banks and highlight the need to solicit partnership from stakeholders in the community and health system.