Research on comorbidities between substance use disorders and serious mental illnesses would be facilitated by new methods for collecting comprehensive data on substance use, including data on onset, progression, frequency, amounts, and consequential behaviors. Given substantial limitations of available instruments, and a nearly complete absence of methodologies that allow derivation of continuous measures that estimate dose or cumulative exposure, this report describes the development and initial validation of two interviewer-administered, multidimensional measures of substance use, the Lifetime Substance Use Recall (LSUR) and Longitudinal Substance Use Recall for 12 Weeks (LSUR-12) Instruments. Participants (n=60) in an ongoing study of first-episode psychosis were evaluated with the LSUR, LSUR-12, and a number of other concurrent measures pertaining to substance use, substance use disorder diagnoses, select demographic features, and two personality traits. Specific a priori hypothesis tests were selected to demonstrate validity, relying on effect sizes to estimate strengths of association, considering small-to-medium correlations (e.g., ρ) as |.20-.50| and medium-to-large effect sizes as >|.50|. Numerous associations were observed between key nicotine-, alcohol-, and cannabis-related variables from the LSUR and LSUR-12 and scores from other concurrently administered measures. These findings provide a thorough initial validation of scores obtained with the new multidimensional instruments. Although validity of the two new measures of lifetime and past 12-week substance use was demonstrated, empirical data on inter-rater and test-retest reliability are needed. Careful development, and demonstration of psychometric properties, of these and related instruments may advance the fields of addiction and comorbidity research.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2925123 | PMC |
http://dx.doi.org/10.1016/j.jpsychires.2010.04.018 | DOI Listing |
BMJ Ment Health
January 2025
Cundill Centre for Child and Youth Depression, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Background: Evidence-based mental health requires patient-relevant outcome data, but many indicators lack clinical meaning and fail to consider youth perceptions. The minimally important change (MIC) indicator designates change as meaningful to patients, yet is rarely reported in youth mental health trials.
Objective: This study aimed to establish MIC thresholds for two patient-reported outcome measures (PROMs), the Columbia Impairment Scale (CIS) and the Strengths and Difficulties Questionnaire (SDQ), using different estimation methods.
Front Child Adolesc Psychiatry
June 2024
Department of Psychiatry, Cambridge Health Alliance, Cambridge, MA, United States.
Introduction: Rising rates of adolescent overdose deaths attributed to counterfeit prescription drugs purchased using social media have drawn national attention to how these platforms might influence substance use. Research suggests a significant relationship exists between exposure to substance-related social media content and use of drugs and alcohol, but most studies are cross-sectional and limited by recall bias. This study used an ecological momentary assessment (EMA) protocol to collect longitudinal data on social media use and online drug-related exposures associated with youth substance use.
View Article and Find Full Text PDFBMJ Open
December 2024
Disease Elimination, Burnet Institute, Melbourne, Victoria, Australia
Introduction: Opioid overdose and blood-borne virus transmission are key health risks for people who inject drugs. Existing study methods that record data on injecting drug risks mostly rely on retrospective self-reporting that, while valid, are limited to being broad and subject to recall bias. The In-The-Moment-Expanded (ITM-Ex) study will evaluate the feasibility and acceptability of multiple novel data collection methods to capture in situ drug injecting data.
View Article and Find Full Text PDFPLoS One
January 2025
Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Objective: Identify the most important sociodemographic and behavioral factors related to the diet of low-income adults with hypertension in order to guide the development of a community health worker (CHW) healthy eating intervention for low-income populations with hypertension.
Design: In this cross-sectional analysis, dietary recalls were used to assess Healthy Eating Index-2020 (HEI-2020) total (range: 0 to 100 [best diet quality]) and component scores and sodium intake. Self-reported sociodemographic and behavioral data were entered into a Least Absolute Shrinkage and Selection Operator (LASSO) regression model to determine the relative importance of factors related to diet quality.
Objective: To understand the influence of acute alcohol consumption on the recall and recognition of warning messages.
Method: Participants ( = 82) were randomly assigned to a condition where they consumed alcoholic beverages (target blood alcohol concentrations of 0.06%-0.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!