Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Drug Dependence01:17

Drug Dependence

Medications are typically administered to achieve therapeutic effects. Some drugs can modify an individual's mood and perception, frequently resulting in various enjoyable experiences. However, this can result in drug dependency, a condition marked by continuous drug use despite potential negative consequences. Drug dependency primarily falls into two categories: psychological and physical dependence. Psychological dependence occurs when the pleasurable feelings induced by the drug...
Self-Report Tests of Personality01:22

Self-Report Tests of Personality

Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Cochran's Q Test01:17

Cochran's Q Test

Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square distribution,...
Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

Diagnostic and Statistical Manual of Mental Disorders (DSM)

The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Impact of care reorganisation during COVID-19 waves on non-COVID-19 inpatients in a Swiss hospital: a retrospective cohort study.

Swiss medical weekly·2026
Same author

Performance of Zero-Shot Classifiers for Categorizing RCT Abstracts by Intervention Type: Validation Study.

JMIR medical informatics·2026
Same author

Augmented Reality-Guided Decision Support in Simulated Pediatric Cardiac Arrest: A Randomized Clinical Trial.

JAMA network open·2026
Same author

Impact of an augmented reality-based decision support system on teamwork, leadership, provider workload and cognitive load during simulated cardiac arrest - a simulation-based randomized controlled trial.

Advances in simulation (London, England)·2026
Same author

Development and validation of a new ultrasound score (SONAR-7) for synovitis in psoriatic arthritis and axial spondyloarthritis.

RMD open·2026
Same author

Simplified MRI scoring system for TMJ assessment in juvenile idiopathic arthritis.

Journal of stomatology, oral and maxillofacial surgery·2026
Same journal

Cannabinoid (CB) 1 receptor antagonists block fentanyl conditioned place preference but not fentanyl antinociception.

Drug and alcohol dependence·2026
Same journal

Opioid use disorder and hospital readmission in the United States from 2010 to 2022: Primary reasons and the complex interplay of comorbid conditions.

Drug and alcohol dependence·2026
Same journal

Impact of medicaid waivers on medication for opioid use disorders in residential facilities: Evidence from twenty-five states.

Drug and alcohol dependence·2026
Same journal

Mental and somatic multimorbidity among individuals with alcohol use disorder: A sex-stratified registry study.

Drug and alcohol dependence·2026
Same journal

Monitoring novel psychoactive substance trends on social media: Analysis of discussions and dashboard implementation.

Drug and alcohol dependence·2026
Same journal

A meta-analysis on the relationship between cultural identity and substance use among indigenous youth.

Drug and alcohol dependence·2026
See all related articles

Related Experiment Video

Updated: Jun 18, 2026

Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements
06:39

Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements

Published on: August 28, 2017

Comparing the predictive validity of five cigarette dependence questionnaires.

Delphine S Courvoisier1, Jean-François Etter

  • 1University of Geneva, Switzerland. delphine.courvoisier@hcuge.ch

Drug and Alcohol Dependence
|November 21, 2009
PubMed
Summary
This summary is machine-generated.

The Cigarette Dependence Scale (CDS) best predicted short-term smoking abstinence. While other scales showed some predictive power, none accurately forecast long-term abstinence from smoking.

More Related Videos

Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System
10:44

Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System

Published on: May 24, 2017

Related Experiment Videos

Last Updated: Jun 18, 2026

Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements
06:39

Electroencephalographic, Heart Rate, and Galvanic Skin Response Assessment for an Advertising Perception Study: Application to Antismoking Public Service Announcements

Published on: August 28, 2017

Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System
10:44

Comparing the Effects of Electronic Cigarette Vapor and Cigarette Smoke in a Novel In Vivo Exposure System

Published on: May 24, 2017

Area of Science:

  • Addiction research
  • Behavioral science
  • Public health

Background:

  • Assessing nicotine dependence is crucial for smoking cessation interventions.
  • Several scales exist to measure cigarette dependence, including the CDS, FTND, HSI, and NDSS.
  • Predictive validity of these scales for smoking abstinence requires further investigation.

Purpose of the Study:

  • To evaluate the predictive validity of four smoking dependence scales in forecasting smoking abstinence.
  • To compare the predictive accuracy of the CDS, FTND, HSI, and NDSS.
  • To determine if intention to quit influences the predictive power of these scales.

Main Methods:

  • Online data collection from 2343 current smokers (2004-2007).
  • Follow-up surveys at 8 and 31 days post-baseline.
  • Statistical analysis of dependence ratings, controlling for confidence and intention to quit.

Main Results:

  • All scales significantly predicted abstinence at 8 days; CDS was the strongest predictor (OR 3.98, 15% variance explained).
  • Predictive validity was enhanced among smokers intending to quit (CDS OR 6.68, 26% variance explained).
  • At 31 days, only FTND, HSI, and NDSS Continuity weakly predicted abstinence (OR 1.56, 2% variance explained).

Conclusions:

  • The CDS demonstrated superior predictive validity for short-term smoking abstinence (8 days).
  • No scale effectively predicted long-term smoking abstinence (31 days), explaining less than 2% of the variance.
  • Findings highlight the limitations of current dependence scales in predicting sustained smoking cessation.