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Nicholas B. Allen

Bio: Nicholas B. Allen is an academic researcher from University of Oregon. The author has contributed to research in topics: Anxiety & Poison control. The author has an hindex of 72, co-authored 409 publications receiving 22281 citations. Previous affiliations of Nicholas B. Allen include University of Western Australia & Royal Melbourne Hospital.
Topics: Anxiety, Poison control, Mental health, Mood, Medicine


Papers
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Journal ArticleDOI
TL;DR: This Commission outlines the opportunities and challenges for investment in adolescent health and wellbeing at both country and global levels (panel 1).

1,976 citations

Journal ArticleDOI
TL;DR: There was no significant degradation in the ability of the CES-D to screen for depression among community-residing elderly adults, and the sample did not include participants with the more disabling forms of cognitive or functional impairment and physical illness.
Abstract: The efficacy of the Center for Epidemiologic Studies Depression Scale (CES-D) as a screener for clinical depression was examined in a sample of 1,005 community-residing adults (age range = 50-96). Presence of a depressive disorder was determined by diagnostic interview. Analyses revealed that neither age, gender, cognitive impairment, functional impairment, physical disease, nor social desirability had a significant negative effect on the psychometric properties or screening efficacy of the CES-D. These results indicate that there was no significant degradation in the ability of the CES-D to screen for depression among community-residing elderly adults. This conclusion must be tempered by the fact that the sample did not include participants with the more disabling forms of cognitive or functional impairment and physical illness.

1,320 citations

Journal ArticleDOI
TL;DR: How key axioms and assumptions of traditional psychological models of emotion regulation and the psychological interventions that are derived from them differ fundamentally from mindfulness-based approaches in terms of the underlying processes they address is explored.

1,080 citations

Journal ArticleDOI
TL;DR: The identification of known sources of inflammation provides support for inflammation as a mediating pathway to both risk and neuroprogression in depression.
Abstract: We now know that depression is associated with a chronic, low-grade inflammatory response and activation of cell-mediated immunity, as well as activation of the compensatory anti-inflammatory reflex system. It is similarly accompanied by increased oxidative and nitrosative stress (ON these include psychosocial stressors, poor diet, physical inactivity, obesity, smoking, altered gut permeability, atopy, dental cares, sleep and vitamin D deficiency. The identification of known sources of inflammation provides support for inflammation as a mediating pathway to both risk and neuroprogression in depression. Critically, most of these factors are plastic, and potentially amenable to therapeutic and preventative interventions. Most, but not all, of the above mentioned sources of inflammation may play a role in other psychiatric disorders, such as bipolar disorder, schizophrenia, autism and post-traumatic stress disorder.

987 citations

Journal ArticleDOI
TL;DR: In this paper, a 10-day intensive mindfulness meditation retreat was evaluated with self-report scales measuring mindfulness, rumination and affect, as well as performance tasks assessing working memory, sustained attention, and attention switching.
Abstract: To evaluate the impact of an intensive period of mindfulness meditation training on cognitive and affective function, a non-clinical group of 20 novice meditators were tested before and after participation in a 10-day intensive mindfulness meditation retreat. They were evaluated with self-report scales measuring mindfulness, rumination and affect, as well as performance tasks assessing working memory, sustained attention, and attention switching. Results indicated that those completing the mindfulness training demonstrated significant improvements in self-reported mindfulness, depressive symptoms, rumination, and performance measures of working memory and sustained attention, relative to a comparison group who did not undergo any meditation training. This study suggests future directions for the elucidation of the critical processes that underlie the therapeutic benefits of mindfulness-based interventions.

783 citations


Cited by
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28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

01 Jan 2016
TL;DR: The using multivariate statistics is universally compatible with any devices to read, allowing you to get the most less latency time to download any of the authors' books like this one.
Abstract: Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

14,604 citations

Christopher M. Bishop1
01 Jan 2006
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

10,141 citations

Journal Article

5,680 citations

Journal ArticleDOI

3,628 citations