14 research outputs found
A randomised trial comparing a brief online delivery of mindfulness-plus-values versus values only for symptoms of depression:Does baseline severity matter?
Background: Acceptance/mindfulness-based interventions often focus on (a) developing dispositional mindfulness and (b) pursuing personally meaningful and valued activities. Acceptance/mindfulness-based interventions can reduce depression, but little is known about the combined effects of components or the influence of baseline variables on outcomes. This study tested whether practicing a brief (10-min) mindfulness meditation over a 2-week period followed by a single values session (mindfulness+values) was more effective than values alone (values only) in reducing symptoms of depression. The study was delivered online and modules were fully self-help (i.e., no therapist contact).Methods: 206 participants (Mage=23.4 years, SD=6.53) with elevated depression scores (DASS-depression ≥ 10) were randomised to: mindfulness+values condition or a 2-week wait period followed by the values session (i.e., values only condition). Symptoms of depression were assessed at baseline, after the 2-week mindfulness practice/wait period, and 1-week following the values session.Results: Reductions in depression and recovery rates were significantly greater following mindfulness+values than values only. Baseline severity affected outcomes: mindfulness+values was significantly more beneficial than values only for individuals with high baseline levels of depression. Outcomes did not differ for those with low levels of depression. Rates of deterioration were higher than expected for values only participants.Limitations: Conclusions are preliminary and tentative due to no follow-up period and a small sample. Drop-out was high (50%) and findings cannot be assumed to generalise to treatment seeking or more diverse samples.Conclusions: Tentatively, results suggest mindfulness+values can significantly reduce depression, especially for individuals with higher baseline depression
Preventing internalizing problems in 6-8 year old children: A universal school-based program
The Aussie Optimism Program: Feelings and Friends (AOP-FF) is a 10 week, universal mental health promotion program based on social/emotional and cognitive and behavioral strategies. The aim of the current study was to evaluate the efficacy of a universal Cognitive Behavioral Therapy based program in preventing and reducing internalizing problems in 6-8 year olds (Years 1-3 in Australia). Year 1-3 students from a low SES primary school (N = 206) were randomly assigned in classes to either an intervention or a control group and assessed at baseline and post-test. Results showed a significant (p = 0.009) and small to moderate (partial eta-squared = 0.034) pre-post decrease in parent-reported anxiety symptoms for the intervention group, in conjunction with a non-significant (p = 0.708) and negligible (partial eta-squared = 0.001) pre-post increase for the control group. A larger randomized controlled trial assessing longer term effects is needed. In addition the program needs to be simplified for year 1-2 students with a separate more developmentally appropriate program for year 3 students
Books on Prescription - community-based health initiative to increase access to mental health treatment: an evaluation
The need for a behavioural science focus in research on mental health and mental disorders
Volume 23, Issue S1
Supplement: Roadmap for Mental Health Research in Europe (ROAMER). Wiley have published this supplement without financial support.Psychology as a science offers an enormous diversity of theories, principles, and methodological approaches to understand mental health, abnormal functions and behaviours and mental disorders. A selected overview of the scope, current topics as well as strength and gaps in Psychological Science may help to depict the advances needed to inform future research agendas specifically on mental health and mental disorders. From an integrative psychological perspective, most maladaptive health behaviours and mental disorders can be conceptualized as the result of developmental dysfunctions of psychological functions and processes as well as neurobiological and genetic processes that interact with the environment. The paper presents and discusses an integrative translational model, linking basic and experimental research with clinical research as well as population-based prospective-longitudinal studies. This model provides a conceptual framework to identify how individual vulnerabilities interact with environment over time, and promote critical behaviours that might act as proximal risk factors for ill-health and mental disorders. Within the models framework, such improved knowledge is also expected to better delineate targeted preventive and therapeutic interventions that prevent further escalation in early stages before the full disorder and further complications thereof develop. In contrast to conventional "personalized medicine" that typically targets individual (genetic) variation of patients who already have developed a disease to improve medical treatment, the proposed framework model, linked to a concerted funding programme of the "Science of Behaviour Change", carries the promise of improved diagnosis, treatment and prevention of health-risk behaviour constellations as well as mental disorders.Hans‐Ulrich Wittchen, Susanne Knappe, Gerhard Andersson, Ricardo Araya,
Rosa M. Banos Rivera ... Cecilia A. Essau ... et al
A novel collaborative practice model for treatment of mental illness in indigent and uninsured patients
Diagnostic accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for detecting major depression in pregnant and postnatal women: protocol for a systematic review and individual patient data meta-analyses
Studies of the diagnostic accuracy of depression screening tools often used data-driven methods to select optimal cut-offs. Typically, these studies report results from a small range of cut-off points around whatever cut-off score is identified as most accurate. When published data are combined in meta-analyses, estimates of accuracy for different cut-off points may be based on data from different studies, rather than data from all studies for each cut-off point. Thus, traditional meta-analyses may exaggerate accuracy estimates. Individual patient data (IPD) meta-analyses synthesise data from all studies for each cut-off score to obtain accuracy estimates. The 10-item Edinburgh Postnatal Depression Scale (EPDS) is commonly recommended for depression screening in the perinatal period. The primary objective of this IPD meta-analysis is to determine the diagnostic accuracy of the EPDS to detect major depression among women during pregnancy and in the postpartum period across all potentially relevant cut-off scores, accounting for patient factors that may influence accuracy (age, pregnancy vs postpartum)
Depression From a Precision Mental Health Perspective: Utilizing Personalized Conceptualizations to Guide Personalized Treatments
The need for a behavioural science focus in research on mental health and mental disorders
Psychology as a science offers an enormous diversity of theories, principles, and methodological approaches to understand mental health, abnormal functions and behaviours and mental disorders. A selected overview of the scope, current topics as well as strength and gaps in Psychological Science may help to depict the advances needed to inform future research agendas specifically on mental health and mental disorders. From an integrative psychological perspective, most maladaptive health behaviours and mental disorders can be conceptualized as the result of developmental dysfunctions of psychological functions and processes as well as neurobiological and genetic processes that interact with the environment. The paper presents and discusses an integrative translational model, linking basic and experimental research with clinical research as well as population-based prospective-longitudinal studies. This model provides a conceptual framework to identify how individual vulnerabilities interact with environment over time, and promote critical behaviours that might act as proximal risk factors for ill-health and mental disorders. Within the models framework, such improved knowledge is also expected to better delineate targeted preventive and therapeutic interventions that prevent further escalation in early stages before the full disorder and further complications thereof develop. In contrast to conventional “personalized medicine” that typically targets individual (genetic) variation of patients who already have developed a disease to improve medical treatment, the proposed framework model, linked to a concerted funding programme of the “Science of Behaviour Change”, carries the promise of improved diagnosis, treatment and prevention of health-risk behaviour constellations as well as mental disorders
The need for a behavioural science focus in research on mental health and mental disorders
Psychology as a science offers an enormous diversity of theories, principles, and methodological approaches to understand mental health, abnormal functions and behaviours and mental disorders. A selected overview of the scope, current topics as well as strength and gaps in Psychological Science may help to depict the advances needed to inform future research agendas specifically on mental health and mental disorders. From an integrative psychological perspective, most maladaptive health behaviours and mental disorders can be conceptualized as the result of developmental dysfunctions of psychological functions and processes as well as neurobiological and genetic processes that interact with the environment. The paper presents and discusses an integrative translational model, linking basic and experimental research with clinical research as well as population-based prospective-longitudinal studies. This model provides a conceptual framework to identify how individual vulnerabilities interact with environment over time, and promote critical behaviours that might act as proximal risk factors for ill-health and mental disorders. Within the models framework, such improved knowledge is also expected to better delineate targeted preventive and therapeutic interventions that prevent further escalation in early stages before the full disorder and further complications thereof develop. In contrast to conventional “personalized medicine” that typically targets individual (genetic) variation of patients who already have developed a disease to improve medical treatment, the proposed framework model, linked to a concerted funding programme of the “Science of Behaviour Change”, carries the promise of improved diagnosis, treatment and prevention of health-risk behaviour constellations as well as mental disorders
