Data are reported on a series of short-form (SF) screening scales of DSM-III-R psychiatric disorders developed from the World Health Organization's Composite International Diagnostic Interview (CIDI). A multi-step procedure was used to generate CIDI-SF screening scales for each of eight DSM disorders from the US National Comorbidity Survey (NCS). This procedure began with the subsample of respondents who endorsed the CIDI diagnostic stem question for a given disorder and then used a series of stepwise regression analyses to select a subset of screening questions to maximize reproduction of the full CIDI diagnosis. A small number of screening questions, between three and eight for each disorder, was found to account for the significant associations between symptom ratings and CIDI diagnoses. Summary scales made up of these symptom questions correctly classify between 77% and 100% of CIDI cases and between 94% and 99% of CIDI non-cases in the NCS depending on the diagnosis. Overall classification accuracy ranged from a low of 93% for major depressive episode to a high of over 99% for generalized anxiety disorder. Pilot testing in a nationally representative telephone survey found that the full set of CIDI-SF scales can be administered in an average of seven minutes compared to over an hour for the full CIDI. The results are quite encouraging in suggesting that diagnostic classifications made in the full CIDI can be reproduced with excellent accuracy with the CIDI-SF scales. Independent verification of this reproduction accuracy, however, is needed in a data set other than the one in which the CIDI-SF was developed. Copyright © 1998 Whurr Publishers Ltd.

The World Health Organization Composite International Diagnostic Interview short-form (CIDI-SF)

In 2 meta-analyses on gender differences in depression in nationally representative samples, we advance previous work by including studies of depression diagnoses and symptoms to (a) estimate the magnitude of the gender difference in depression across a wide array of nations and ages; (b) use a developmental perspective to elucidate patterns of gender differences across the life span; and (c) incorporate additional theory-driven moderators (e.g., gender equity). For major depression diagnoses and depression symptoms, respectively, we meta-analyzed data from 65 and 95 articles and their corresponding national data sets, representing data from 1,716,195 and 1,922,064 people in over 90 different nations. Overall, odds ratio (OR) = 1.95, 95% confidence interval (CI) [1.88, 2.03], and d = 0.27 [0.26, 0.29]. Age was the strongest predictor of effect size. The gender difference for diagnoses emerged earlier than previously thought, with OR = 2.37 at age 12. For both meta-analyses, the gender difference peaked in adolescence (OR = 3.02 for ages 13-15, and d = 0.47 for age 16) but then declined and remained stable in adulthood. Cross-national analyses indicated that larger gender differences were found in nations with greater gender equity, for major depression, but not depression symptoms. The gender difference in depression represents a health disparity, especially in adolescence, yet the magnitude of the difference indicates that depression in men should not be overlooked. (PsycINFO Database Record

Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms.

Green exercise is activity in the presence of nature. Evidence shows it leads to positive short and long-term health outcomes. This multistudy analysis assessed the best regime of dose(s) of acute exposure to green exercise required to improve self-esteem and mood (indicators of mental health). The research used meta-analysis methodology to analyze 10 UK studies involving 1252 participants. Outcomes were identified through a priori subgroup analyses, and dose−responses were assessed for exercise intensity and exposure duration. Other subgroup analyses included gender, age group, starting health status, and type of habitat. The overall effect size for improved self-esteem was d = 0.46 (CI 0.34−0.59, p < 0.00001) and for mood d = 0.54 (CI 0.38−0.69, p < 0.00001). Dose responses for both intensity and duration showed large benefits from short engagements in green exercise, and then diminishing but still positive returns. Every green environment improved both self-esteem and mood; the presence of water genera...

What is the Best Dose of Nature and Green Exercise for Improving Mental Health? A Multi-Study Analysis

This review focuses on positive aspects of well-being, or flourishing. It examines evidence for the causes of positive well-being and also its consequences, including beneficial effects for many aspects of cognitive functioning, health, and social relationships. The neurobiological basis of psychological well-being is examined, and recent data on brain activation and neurochemical pathways are presented. Individuals vary widely in their habitual level of psychological wellbeing, and there is evidence for a seminal role of social factors and the early environment in this process. It is often assumed that the drivers of well-being are the same as (but in the opposite direction to) the drivers of ill-being, but while this is true for some drivers, others have more selective effects. Future developments in the science of well-being and its application require a fresh approach—beyond targeting the alleviation of disorder to a focus on personal and interpersonal flourishing. A universal intervention approach is outlined which may both increase population flourishing and reduce common mental health problems.

Psychological Well-being: Evidence Regarding its Causes and Consequences†

Autism spectrum disorder is a construct used to describe individuals with a specific combination of impairments in social communication and repetitive behaviours, highly restricted interests and/or sensory behaviours beginning early in life. The worldwide prevalence of autism is just under 1%, but estimates are higher in high-income countries. Although gross brain pathology is not characteristic of autism, subtle anatomical and functional differences have been observed in post-mortem, neuroimaging and electrophysiological studies. Initially, it was hoped that accurate measurement of behavioural phenotypes would lead to specific genetic subtypes, but genetic findings have mainly applied to heterogeneous groups that are not specific to autism. Psychosocial interventions in children can improve specific behaviours, such as joint attention, language and social engagement, that may affect further development and could reduce symptom severity. However, further research is necessary to identify the long-term needs of people with autism, and treatments and the mechanisms behind them that could result in improved independence and quality of life over time. Families are often the major source of support for people with autism throughout much of life and need to be considered, along with the perspectives of autistic individuals, in both research and practice.

/pdf/autism-spectrum-disorder-55g4bscnxz.pdf

Autism spectrum disorder

TRENDS IN MENTAL ILLNESS: • One adult in six had a common mental disorder (CMD): about one woman in
five and one man in eight. Since 2000, overall rates of CMD in England steadily
increased in women and remained largely stable in men.
• Reported rates of self-harming increased in men and women and across age
groups since 2007. However, much of this increase in reporting may have been
due to greater awareness about the behaviour.
• Young women have emerged as a high-risk group, with high rates of CMD, selfharm,
and positive screens for posttraumatic stress disorder (PTSD) and bipolar
disorder. The gap between young women and young men increased.
• Most mental disorders were more common in people living alone, in poor physical
health, and not employed. Claimants of Employment and Support Allowance
(ESA), a benefit aimed at those unable to work due to poor health or disability,
experienced particularly high rates of all the disorders assessed.
TRENDS IN TREATMENT AND SERVICE USE: 
• One person in three with CMD reported current use of mental health treatment
in 2014, an increase from the one in four who reported this in 2000 and 2007.
This was driven by steep increases in reported use of psychotropic medication.
Increased use of psychological therapies was also evident among people with
more severe CMD symptoms.
• There were demographic inequalities in who received treatment. After controlling
for level of need, people who were White British, female, or in mid-life (especially
aged 35 to 54) were more likely to receive treatment. People in the Black ethnic
group had particularly low treatment rates.
• Socioeconomic inequalities in treatment use were less evident, although people
living in lower income households were more likely to have requested but not
received a particular mental health treatment.
• Since 2007, people with CMD had become more likely to use community services
and more likely to discuss their mental health with a GP.

Mental health and wellbeing in England: Adult Psychiatric Morbidity Survey 2014. A survey carried out for NHS Digital by NatCen Social Research andthe Department of Health Sciences, University of Leicester

The Social and Economic Circumstances of Adults with Mental Disorders

Foresight Mental Capital and Wellbeing Project. Mental health: Future challenges.

Background The National Psychiatric Morbidity Survey (NPMS) programme was partly designed to monitor trends in mental disorders, including depression, with comparable data spanning 1993 to 2007. Findings already published from this programme suggest that concerns about increasing prevalence of common mental disorders (CMDs) may be unfounded. This article focuses on depression and tests the hypothesis that successive birth cohorts experience the same prevalence of depression as they age. Method We carried out a pseudo-cohort analysis of a sequence of three cross-sectional surveys of the English household population using identical diagnostic instruments. The main outcome was ICD-10 depressive episode or disorder. Secondary outcomes were the depression subscales of the Clinical Interview Schedule – Revised (CIS-R). Results There were 8670, 6977 and 6815 participants in 1993, 2000 and 2007 respectively. In men, the prevalence of depression increased between cohorts born in 1943–1949 and 1950–1956 [odds ratio (OR) 2.5, 95% confidence interval (CI) 1.4–4.2], then remained relatively stable across subsequent cohorts. In women, there was limited evidence of change in prevalence of depression. Women born in 1957–1963, surveyed aged 44–50 years in 2007, had exceptionally high prevalence. It is not clear whether this represents a trend or a quirk of sampling. Conclusions There is no evidence of an increase in the prevalence of depression in male cohorts born since 1950. In women, there is limited evidence of increased prevalence. Demand for mental health services may stabilize or even fall for men.

Age and birth cohort differences in depression in repeated cross-sectional surveys in England: the National Psychiatric Morbidity Surveys, 1993 to 2007.

Health system factors impacting on delivery of mental health services in Russia: multi-methods study.

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

R. Jenkins

Author Tools

Chat about Author