PubMed Health⌕ Search

PubMed · 15575801

Recognizing sleep disorders in a primary care setting.

Abstract

As many as one third of the general population suffers from some form of sleep disorder. Although sleep disorders are widespread in society, few patients present with overt sleep complaints; they instead present with symptoms of fatigue, excessive sleepiness, and impaired waking function. Untreated sleep disorders, particularly insomnia, can lead to potentially life-threatening automobile crashes and industrial accidents. In addition, poor motor, mental, and cognitive function at home, work, and school can negatively impact a patient's quality of life. Therefore, physicians must maintain a high index of suspicion for sleep disorders whenever they see patients, and they must ask sleep-related questions during office visits for acute conditions, chronic conditions, and annual physical examinations. Today's "24/7" society experiences sleep disorders in ever-increasing numbers, and people who work shifts are at risk for developing circadian rhythm sleep disorder, particularly shift work sleep disorder. Physicians must engage their patients in a discussion of their occupations and sleeping habits in order to detect and treat sleep disorders.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Paul P Doghramji. 2004. Recognizing sleep disorders in a primary care setting.. https://pubmed.ncbi.nlm.nih.gov/15575801/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Informative phenotypes for genetic studies of psychiatric disorders.

Despite its initial promise, there has been both progress and some set backs in genetic studies of the major psychiatric disorders of childhood and adulthood. Finding true susceptibility genes may be delayed because the most genetically informative phenotypes are not being used on a regular basis in linkage analysis and association studies. It is highly likely that using alternative phenotypes instead of DSM diagnostic categories will lead more rapid success in the search for these susceptibility genes. The objective of this paper is to describe the different types of informative phenotypes that can be employed in psychiatric genetic studies, to clarify their uses, to identify several methodologic issues the design and conduct of linkage and association studies that use alternative phenotypes and finally to suggest possible solutions to those difficulties. This is a conceptual review with a focus on methodological issues that may arise in psychiatric genetics and examples are taken from the literature on autism, schizophrenia, bipolar disorder, and alcoholism.

Diagnostic and Statistical Manual of Mental Disord↗

Comparison of alternative models for personality disorders.

BACKGROUND: The categorical classification system for personality disorder (PD) has been frequently criticized and several alternative dimensional models have been proposed. METHOD: Antecedent, concurrent and predictive markers of construct validity were examined for three models of PDs: the Five-Factor Model (FFM), the Schedule for Nonadaptive and Adaptive Personality (SNAP) model and the DSM-IV in the Collaborative Study of Personality Disorders (CLPS) sample. RESULTS: All models showed substantial validity across a variety of marker variables over time. Dimensional models (including dimensionalized DSM-IV) consistently outperformed the conventional categorical diagnosis in predicting external variables, such as subsequent suicidal gestures and hospitalizations. FFM facets failed to improve upon the validity of higher-order factors upon cross-validation. Data demonstrated the importance of both stable trait and dynamic psychopathological influences in predicting external criteria over time. CONCLUSIONS: The results support a dimensional representation of PDs that assesses both stable traits and dynamic processes.

Diagnostic and Statistical Manual of Mental Disord↗