6 research outputs found

    Better Memory for a Negative Event Associated with Better Emotion Regulation

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    Cognitive resources in older adults may promote psychological well-being. Our data add a novel dimension to this work by demonstrating that superior memory for negative mood induction stimuli is associated with better emotion recovery over time. Older (n = 11) and younger (n = 14) participants were shown film clips depicting themes of loss to induce negative emotions and reduce positive emotions. Self-report emotions were assessed prior to the videos, immediately after the videos, and after 10-minutes of emotion recovery. Results indicated that Positive Affect, Joviality, and Attentiveness significantly (ps \u3c .05) decreased and Negative Affect, Sadness, and Hostility significantly (ps \u3c .05) increased from pre- to post-video. Changes in Guilt were significantly (p \u3c .05) different by age group; scores for younger adults decreased whereas scores for older adults increased. Free recall and recognition memory for the film stimuli were tested. There was a trend for younger adults to have better recognition memory for the negative film stimuli than older adults (p \u3c 0.10). Poorer recognition memory was associated with less efficient emotion recovery for several negative emotions. Specifically, poorer recognition memory was associated with less efficient recovery as a trend for Fear (r = -.35, p \u3c .10) and Sadness (r = -.36, p \u3c .10) and significantly for Guilt (r = -.66, p \u3c .05). Better memory for an event that causes negative emotions may facilitate emotion regulation and emotion recovery. Implications for emotion dysregulation in memory disorders are discussed

    A Web-Disseminated Self-Help and Peer Support Program Could Fill Gaps in Mental Health Care: Lessons From a Consumer Survey

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    Background: Self-guided mental health interventions that are disseminated via the Web have the potential to circumvent barriers to treatment and improve public mental health. However, self-guided interventions often fail to attract consumers and suffer from user nonadherence. Uptake of novel interventions could be improved by consulting consumers from the beginning of the development process in order to assess their interest and their preferences. Interventions can then be tailored using this feedback to optimize appeal. Objective: The aim of our study was to determine the level of public interest in a new mental health intervention that incorporates elements of self-help and peer counseling and that is disseminated via a Web-based training course; to identify predictors of interest in the program; and to identify consumer preferences for features of Web-based courses and peer support programs. Methods: We surveyed consumers via Amazon’s Mechanical Turk to estimate interest in the self-help and peer support program. We assessed associations between demographic and clinical characteristics and interest in the program, and we obtained feedback on desired features of the program. Results: Overall, 63.9% (378/592) of respondents said that they would try the program; interest was lower but still substantial among those who were not willing or able to access traditional mental health services. Female gender, lower income, and openness to using psychotherapy were the most consistent predictors of interest in the program. The majority of respondents, although not all, preferred romantic partners or close friends as peer counselors and would be most likely to access the program if the training course were accessed on a stand-alone website. In general, respondents valued training in active listening skills. Conclusions: In light of the apparent public interest in this program, Web-disseminated self-help and peer support interventions have enormous potential to fill gaps in mental health care. The results of this survey can be used to inform the design of such interventions

    Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ):Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis

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    This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.</p
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