Technological aids for improving longitudinal research on substance use disorders

Genetics of substance use disorders in the era of big data

Substance use disorders (SUDs) are conditions in which the use of legal or illegal substances, such as nicotine, alcohol or opioids, results in clinical and functional impairment. SUDs and, more generally, substance use are genetically complex traits that are enormously costly on an individual and societal basis. The past few years have seen remarkable progress in our understanding of the genetics, and therefore the biology, of substance use and abuse. Various studies - including of well-defined phenotypes in deeply phenotyped samples, as well as broadly defined phenotypes in meta-analysis and biobank samples - have revealed multiple risk loci for these common traits. A key emerging insight from this work establishes a biological and genetic distinction between quantity and/or frequency measures of substance use (which may involve low levels of use without dependence), versus symptoms related to physical dependence.

Now and then: a ten-year comparison of young people in residential substance use disorder treatment receiving group dialectical behaviour therapy

BACKGROUND

Reducing substance use in youth is a global health priority. We compared two cohorts from the same 12-week residential substance use disorder (SUD) facility over a 10 year period: Cohort A (2008-2009) and Cohort B (2018-2020). The essential components of the program remained the same with the primary treatment being dialectical behaviour therapy (DBT) plus residential milieu.

METHODS

Young people in the current Cohort B (N = 100) versus historical Cohort A (N = 102) had a similar ratio of males (74 vs. 70%) but were slightly older (mean 20.6 vs. 19.5 years). Linear mixed models were used to model outcome measures (global psychiatric symptoms, substance use severity, and quality of life) longitudinally up to 12 months later.

RESULTS

Baseline to end-of-treatment comparisons showed that the current Cohort B had overall higher levels of global psychiatric symptoms (d = 0.70), but both groups reduced psychiatric symptoms (Cohort A: d = 1.05; Cohort B: d = 0.61), and had comparable increases in confidence to resist substance use (d = 0.95). Longitudinal data from the current Cohort B showed significant decreases in substance use severity from baseline to 6-month follow-up (d = 1.83), which were sustained at 12-month follow-up (d = 0.94), and increases in quality of life from baseline to end-of-treatment (d = 0.83).

CONCLUSIONS

We demonstrate how DBT plus milieu residential care for young people continues to show positive effects in a 10-year comparison. However, youth seeking treatment today compared to 10 years ago evidenced higher acuity of psychiatric symptoms reinforcing the importance of continuous improvement of psychological treatments.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry: trial ID ACTRN12618000866202 , retrospectively registered on 22/05/2018, .

Understanding Attrition and Bolstering Retention in a Longitudinal Panel of Older Adults: ORANJ BOWL

Background and Objectives

Attrition from longitudinal studies can affect the generalizability of findings especially when studying developmental constructs such as successful aging.

Research Design and Methods

Using data from a 12-year (6-wave) panel of 5,688 older people (aged 50-74 at baseline), we compared people retained in the panel with people lost to follow-up on demographic characteristics and measures of successful aging. After instituting expanded retention strategies at Wave 6 (i.e., a team-based approach, social media, and paid web search engines), we compared different groups of people lost to follow-up (i.e., deceased and withdrawn due to lack of interest) and different types of completers (i.e., full completers vs. lost and reengaged completers).

Results

At baseline, Wave 6 completers were significantly younger, less likely to be African American, more likely to be married, reported higher levels of income and education, were more likely to be working full-time, had less pain and fewer chronic illnesses, and reported higher levels of subjective successful aging and functional ability than those lost to follow-up. Analyses demonstrated differences across groups based on the reason for loss (i.e., deceased, impaired, and not interested). Participants who missed an interview but returned to the panel were significantly different from those who participated in all waves of data collection. Expanded retention efforts improved generalizability, as people returning to the panel reported lower levels of education, lower levels of income, and were more likely to be African American.

Discussion and Implications

Biased attrition within longitudinal research affects the interpretation of study findings, especially when studying developmental outcomes. However, expanded retention strategies can reduce bias and loss and should be used to enhance retention efforts in longitudinal work.

Temporal discounting and smoking cessation: choice consistency predicts nicotine abstinence in treatment-seeking smokers

INTRODUCTION

Smokers discount delayed rewards steeper than non-smokers or ex-smokers, possibly due to neuropharmacological effects of tobacco on brain circuitry, or lower abstinence rates in smokers with steep discounting. To delineate both theories from each other, we tested if temporal discounting, choice inconsistency, and related brain activity in treatment-seeking smokers (1) are higher compared to non-smokers, (2) decrease after smoking cessation, and (3) predict relapse.

METHODS

At T1, 44 dependent smokers, 29 non-smokers, and 30 occasional smokers underwent fMRI while performing an intertemporal choice task. Smokers were measured before and 21 days after cessation if abstinent from nicotine. In total, 27 smokers, 28 non-smokers, and 29 occasional smokers were scanned again at T2. Discounting rate k and inconsistency var(k) were estimated with Bayesian analysis.

RESULTS

First, k and var(k) in smokers in treatment were not higher than in non-smokers or occasional smokers. Second, neither k nor var(k) changed after smoking cessation. Third, k did not predict relapse, but high var(k) was associated with relapse during treatment and over 6 months. Brain activity in valuation and decision networks did not significantly differ between groups and conditions.

CONCLUSION

Our data from treatment-seeking smokers do not support the pharmacological hypothesis of pronounced reversible changes in discounting behavior and brain activity, possibly due to limited power. Behavioral data rather suggest that differences between current and ex-smokers might be due to selection. The association of choice consistency and treatment outcome possibly links consistent intertemporal decisions to remaining abstinent.

A Pilot Follow-Up Study of Older Alcohol-Dependent COGA Adults

BACKGROUND

Alcohol consumption and problems are increasing among older adults, who are at elevated risk for alcohol-related accidents and medical problems. This paper describes a pilot follow-up of older adults with a history of alcohol dependence that was designed to determine the feasibility of conducting a more extensive investigation.

METHODS

The sample consisted of previously assessed subjects in the Collaborative Studies on the Genetics of Alcoholism who: (i) were age 50+; (ii) had lifetime DSM-IV AD; and (iii) had DNA available. Individuals were located through family contacts, Internet searches, and death registries. A brief telephone interview assessed demographics, health, and alcohol involvement.

RESULTS

Of the total sample (N = 2,174), 36% were contacted, 24% were deceased, and 40% were not yet located. Most (89%) contacted subjects were interviewed, and 99% of them agreed to future evaluation. Thirty percent of interviewed subjects reported abstinence for 10+ years, 56% reported drinking within the past year, and 14% last drank between >1 and 10 years ago. There were no age-related past-year differences in weekly consumption (overall sample mean: 16 drinks), number of drinking weeks (30.8), maximum number of drinks in 24 hours (8.1), or prevalence of weekly risky drinking (19%). Among those who drank within the past 5 years, the 3 most common alcohol-related problems were spending excessive time drinking or recovering (49%), drinking more/longer than intended (35%), and driving while intoxicated (35%); and about a third (32%) received some form of treatment.

CONCLUSIONS

Over a 1-year period, we located 60% of individuals last seen an average of 23 years ago. The majority of contacted individuals were interviewed and willing to be evaluated again. Although the proportion of individuals currently drinking diminished with age, subjects exhibited troublesome levels of alcohol consumption and problems. Our findings suggest the importance and feasibility of a more comprehensive follow-up.

Measuring extended families over time in informal settlements in Nairobi, Kenya: Retention and data consistency in a two-round survey

BACKGROUND

Researchers have increasingly turned to longitudinal data to understand how the family environment of children changes over time and how this change affects their well-being. While the value of such efforts is clear, the inherent challenges of collecting robust data over time may limit or bias our understanding of family complexity.

OBJECTIVE

Drawing on data from an exploratory study on kinship structure and support for low income single mothers and their young children in Nairobi, Kenya, this paper aims to (1) assess the strengths and weaknesses of our approach in reflecting the complexities of kinship dynamics and (2) analyze how methodological issues such as selection and reporting inconsistency can influence our understanding of the role of kin in children's lives.

METHODS

The analysis used data from two waves of the Kinship Support Tree (KST) project. The starting sample consisted of 462 single mothers with at least one child under the age of 7, with data collected on approximately 5,000 resident and nonresident kin. Descriptive statistics and conventional tests of significance were used to analyze selection factors and inconsistencies in reporting across waves.

RESULTS

The study yielded a 91% retention rate after six months and the analysis provides some assurance that selectivity from attrition and reporting inconsistency are not entirely driven by shifts in support provision by kin. However, the selectivity of the sample underscores caution in generalizing the results.

CONCLUSIONS

While the challenges of conducting follow-up surveys such as the KST are serious, these findings suggest that it is possible to collect consistent data on kinship structure and support from the perspective of children in a mobile population. Tracking kinship structure over time using the KST is not only feasible but more importantly is unlikely to lead to incomplete or biased understanding of kinship.

CONTRIBUTION

After further testing with a wider range of women, we hope to disseminate our results for use in a wide range of contexts both in and out of Africa. We believe this data is vital to designing appropriate interventions to improve the well-being of children growing up in these communities.

Approaching Retention within the ABCD Study

Retention efforts are critical to maintain relationships with research participants over time. This is especially important for the Adolescent Brain Cognitive Development (ABCD) study, where families are asked to stay engaged with the study throughout the course of 10 years. This high-degree of involvement is essential to longitudinally track child and adolescent development. At a minimum, we will connect with families every 6 months by telephone, and every year in person, with closer contact with the youth directly as they transition into adolescence. Differential retention, when related to non-random issues pertaining to demographic or risk features, can negatively impact the generalizability of study outcomes. Thus, to ensure high rates of retention for all participants, the ABCD study employs a number of efforts to support youth and families. This overview details the framework and concrete steps for retention.