Core data for epidemiological studies of nonmedical drug use

Cover of: Core data for epidemiological studies of nonmedical drug use |

Published by World Health Organization, WHO Publications Centre USA in Geneva, Albany, N.Y .

Written in English

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  • Drug abuse -- Research.,
  • Epidemiology -- Research.

Edition Notes

Includes bibliographical references.

Book details

StatementP.H. Hughes ... [et al.].
SeriesWHO offset publication ;, no. 56
ContributionsHughes, P. H., World Health Organization.
LC ClassificationsRC564 .C678 1980
The Physical Object
Pagination100 p. :
Number of Pages100
ID Numbers
Open LibraryOL3876041M
ISBN 109241700564
LC Control Number81200561

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Core data for epidemiological studies of nonmedical drug use. Hughes PH, Venulet J, Khant U, Medina Mora ME, Navaratnam V, Poshyachinda V, Rootman I, Salan R, Wadud KA.

PMID: Core data for epidemiological studies of nonmedical drug use. Geneva: World Health Organization ; Albany, N.Y.: WHO Publications Centre USA, (OCoLC) Material Type: Government publication, International government publication: Document Type: Book: All Authors / Contributors: P H Hughes; World Health :// Core data for epidemiological studies on nonmedical drug use / P.

Hughes View/ Open WHO_OFFSET_pdf (‎Mb)‎ Core data for epidemiological studies of nonmedical drug use (WHO offset publication) [Hughes, P.H., Khant, U., Medina Mora, M.E., Venulet, J.] on *FREE* shipping on qualifying offers.

Core data for epidemiological studies of nonmedical drug use (WHO offset publication) Core data for epidemiological studies of nonmedical drug use P.H. Hughes [et al.] (WHO offset publication, no.

56) World Health Organization, Title(s): Core data for epidemiological studies of nonmedical drug use/ P.H. Hughes [et al.]. Country of Publication: Switzerland Publisher: Geneva: World Health Organization,   This Guide to Drug Abuse Epidemiology draws extensively on material previously published by the World Health Organization in the following publications: Hughes P.H., Venulet., Khant U., Medina More M.E., Navaratnam V., Poshyachinda V., Rootman I., Salan R.

And Wadud K.A. Core Data for Epidemiological Studies of Non-medical Drug ://;sequence=1. BACKGROUND. InFountain & Griffiths conducted a content analysis on papers published during –96 in three leading international drug publications: Addiction, Drug and Alcohol Review and Addiction Research (Fountain & Griffiths ).Of the papers scrutinized, only 17 (6%) reported on studies that had wholly or partially used qualitative :// 1 day ago  exposure.

Early research applied a narrow traditional epidemiological framework to the study of heroin use (de Alarcon, ; Hughes and Crawford, ); however, recent studies employ a broader concept of epidemiology in which both descriptive and analytic epidemiological studies are used to address the problems of drug use and abuse in :// In Chapter 3 we looked at the data systems and descriptive studies that provide the ‘bread-and-butter’ information of public health; in this chapter, we will look at the analytic studies that are our main tools for identifying the causes of disease and evaluating health interventions.

Unlike descriptive epidemiology, analytic studies   Research in the substance abuse epidemiology unit addresses the etiology, prevention, distribution, natural history, and treatment of substance use disorders, including and not limited to alcohol, marijuana and opioids.

Faculty in our unit conduct epidemiologic research on the causes, consequences and interventions for substance use and substance use disorders (SUD), with a multi-level, cells /epidemiology/research/substance-use-epidemiology.

Hughes PH, Venulet J, Khant U, Medina Mora ME, Navaratnam V, Poshyachinda V, Rootman I, Salan R, Wadud KA. Core data for epidemiological studies of nonmedical drug use   Epidemiology is the study and analysis of the distribution (who, when, and where), patterns and determinants of health and disease conditions in defined populations.

It is a cornerstone of public health, and shapes policy decisions and evidence-based practice by identifying risk factors for disease and targets for preventive iologists help with study design, collection, and Indeed, this term is often defined distinctly in different spheres, and for example, public health and epidemiological studies usually describe the use of drugs for cognitive enhancement as the “non-medical use of prescription drugs,” “drug misuse,” or even “drug   implementing data collection in core areas.

The Toolkit is designed to provide a The boundaries of epidemiological research on drug use and drug addiction are not social factors that predict the course of drug use []. Drug epidemiology also includes studies of the prevalence and correlates of drug dependence in the toolkit module 7 ENGLISH Like the clinical findings and pathology, the epidemiology of a disease is an integral part of its basic description.

The subject has its special techniques of data collection and interpretation, and its necessary jargon for technical terms. This short book aims to provide an ABC of the epidemiological approach, its terminology, and its :// To present national data on the prevalence, correlates, and comorbidity of nonmedical prescription drug use and drug use disorders for sedatives, tranquilizers, opioids, and :// Assessing illicit drugs in wastewater.

Legal notice. The problem of measuring drug use, a complex, hidden and often highly stigmatised behaviour, is a central component of the work carried out by the European Monitoring wastewater analysis with conventional epidemiological data, obtained from population surveys. Although complicated and Attributes of epidemiologic studies and surveillance.

A number of attributes of epidemiologic studies and surveillance determine their success. The following are among the most important: (Guidelines Working Group ) • Economy.

Economical methods reduce the costs and time required to collect and analyze :// Abstract. Studies conducted by the National Drug Research Centre\ud during / have shown that % of 16, school children surveyed have had some experience with the non-medical use of drugs and that a trend towards multiple drug use was becoming :// T4: From practice to health outcomes: evaluation studies to assess the effectiveness of interventions (e.g.

a screening programme) in practice. In the preceding chapters we have covered the core principles and methods of epidemiology and have shown you some of the main areas where epidemiological evidence is crucial for policy and ://   This is the second of a series of studies planned to explore the epidemiology of nonmedical use of drugs among Egyptian youth.

A standardized questionnaire with well established reliability and validity estimates was administered to a representative sample of technical school students in Greater Cairo, numbering male This book provides insights into developing epidemiological surveys on diet and lifestyle of children and adolescents, offers a toolbox of ready-to-use survey instruments and procedures for data collection and gives practical recommendations for large-scale multicenter field  › Statistics.

We investigated the prevalence of and risk factors associated with initiating nonmedical prescription opioid use (NMPOU) before and after illegal drugs using data from two linked cohort studies of street youth and adults who use illegal drugs in Vancouver, Canada.

All participants who attended a study visit between and were eligible for the primary :// This report presents and explains a standardized methodology for reassessing the established benefit-risk relationship of a marketed drug when a new safety problem arises.

Addressed to drug manufacturers and regulatory authorities, the book responds to the absence of any standard, systematic procedure for assessing newly detected hazards, balancing risks against benefits, and reporting the Introduction. Heroin use carries a high risk of respiratory depression and overdose death, which accounts for substantial mortality in Europe, and has recently increased in some regions in Europe.Naloxone, an opioid antagonist, has been shown to decrease overdose-related mortality when used by nonmedical responders in emergency situations, in combination with training and education.

The SEOW relies on epidemiological data as the primary foundation for all planning and decision-making at state and community levels. Epidemiological data have proven to be very valuable for describing drug use patterns across person, place, and time; for identifying factors associated with increased (or decreased) risk for drug use and drug use Epi Profile pdf.

The study of sex differences in the use of psychoactive drugs is particularly appropriate and timely for several reasons. Prior to the late s, epidemiological studies of the incidence of drug /_Sex_Differences_in_Psychoactive_Drug_Use.

() pointed out, the large national surveys of nonmedical prescription drug use have so far failed to distinguish the ways and reasons that people use the drugs, and this is certainly true where prescription stimulants are concerned.

The largest survey to inves-tigate prescription stimulant use in a nationally ~mfarah/pdfs/   Objectives To determine the prevalence of depression among male and female medical students, its change over time and whether depression persists for affected students. Design Longitudinal study comprising annual questionnaire surveys which included the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D).

Participants Between and all students Data and Methods for Evaluating the Impact of Opioid Formulations. With Properties Designed to Deter Abuse in the Postmarket Setting.

Public Workshop – JulyThe National Survey on Drug Use and Health (NSDUH) series, formerly titled National Household Survey on Drug Abuse, is a major source of statistical information on the use of illicit drugs, alcohol, and tobacco and on mental health issues among members of the U.S.

civilian, non-institutional population aged 12   The incidence of hepatitis C virus (HCV) infection is defined as number of new infections in a specific region in a specific time period; the incidence data is typically reported out for a 1-year period, often in conjunction with cumulative and comparative multi-year data (Figure 1).

The Centers for Disease Control and Prevention Core Data for Epidemiological Studies of Nonmedical Drug Use (Offset Publications) by P.H.

Hughes, J. Venulet, U. Khant, William Hughes Paperback, Pages, Published by World Health Organization ISBNISBN:   Over the last decade, research into Internet addiction has proliferated. This paper reviews the existing 68 epidemiological studies of Internet addiction that (i) contain quantitative empirical data, (ii) have been published after(iii) include an analysis relating to Internet addiction, (iv) include a minimum of participants, and (v ?genre.

Epidemiological studies suggest that compared with the general population, mood disorders are up to times more prevalent in substance dependent samples. Comorbid substance use disorder (SUD) and depression has been associated with a more severe and protracted illness course and poorer treatment outcomes.

Despite this, the development and assessment of behavioural interventions for 1 day ago  Quick Statistics provide summary data tables and state profiles for the TEDS, N-SSATS, and N-MHSS surveys for researchers interested in detailed analyses of substance abuse and mental health treatment services and facilities.

SAMHDA provides access to public-use data files, restricted-use data files, and file documentation related to critical Patterns of use (NMUPD) • men are more likely to consume prescription drugs using alternative methods, such as crushing and snorting pills.

• women are more likely to report drug taking early in the morning while men reported taking drugs in the evening. (Back et al., ) • women are often motivated by negative reinforcement processes such as coping with relational stress and Tolerance vs.

Dependence vs. Addiction Long-term use of prescription opioids, even as prescribed by a doctor, can cause some people to develop a tolerance, which means that they need higher and/or more frequent doses of the drug to get the desired effects.

Drug dependence occurs with repeated use, causing the neurons to adapt so they only function normally in the presence of the :// COUNCIL FOR INTERNATIONAL ORGANIZATIONS OF MEDICAL SCIENCES.

Associate partner of UNESCO - in official relations with WHO. The Council for International Organizations of Medical Sciences (CIOMS) is an international, non-governmental, non-profit organization established jointly by WHO and UNESCO in. Illicit methamphetamine use continues to be a public health concern in the United States.

The goal of the current study was to use a relatively inexpensive methodology to examine the prevalence and demographic correlates of nonmedical methamphetamine use in the United States.

The sample was obtained through an internet survey of noninstitutionalized adults (n = 4,) aged 18 to 49 in the   Metabolism has an essential role in biological systems. Identification and quantitation of the compounds in the metabolome is defined as metabolic profiling, and it is applied to define metabolic Drug Policy and the Public Good presents the accumulated scientific knowledge of direct relevance to the development of drug policy on local, national, and international levels.

The book explores both illicit drug use and non-medical use of prescription medications within a public health perspective. A conceptual basis for a rational drug policy is presented, along with new epidemiological

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