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Trajectories of prescription drug misuse during the transition from late adolescence into adulthood in the USA: a national longitudinal multicohort study.

ABSTRACT: BACKGROUND:Prescription drug misuse is most prevalent during young adulthood (ages 18-25 years). We aimed to identify prescription drug misuse trajectories for three drug classes (opioids, stimulants, and sedatives or tranquilisers) from adolescence into adulthood, assess the extent to which different trajectories are associated with symptoms of substance use disorder, and identity factors associated with high-risk prescription drug misuse trajectories. METHODS:For this longitudinal multicohort study, nationally representative probability samples of 51?223 adolescents in the USA were followed up across eight waves from age 18 years (cohorts 1976-96) to age 35 years. Data were collected via self-administered paper questionnaires. FINDINGS:Five prescription drug misuse trajectories were identified and the defining characteristic that differentiated the five trajectories was the age when past-year prescription drug misuse high frequency peaked: rare or no misuse at any age, peak at age 18 years, peak at ages 19-20 years, peak at age 23-24 years, and peak at ages 27-28 years. Similar prescription drug misuse trajectories were identified for each prescription drug class. The later peak misuse trajectory for sedatives and tranquilisers crested at an older age (35 years) than that for the other drug classes. Prescription drug misuse trajectories were all associated with significantly greater odds of having two or more substance use disorder symptoms at age 35 years, especially the later peak trajectories. In controlled analyses, risk factors associated with the high-risk latest peak prescription drug misuse trajectory included high school heavy drinking, cigarette smoking, marijuana use, poly-prescription drug misuse, white race, and not completing a 4-year university degree. INTERPRETATION:Prescription drug misuse trajectories are heterogeneous, and any high-frequency prescription drug misuse is a strong risk factor for development of substance use disorders during adulthood, especially later-peak prescription drug misuse trajectories. These findings might help practitioners identify individuals at greatest risk for substance use disorders and target intervention strategies. FUNDING:National Institute on Drug Abuse, National Institutes of Health.

SUBMITTER: McCabe SE

PROVIDER: S-EPMC6939756 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Trajectories of prescription drug misuse during the transition from late adolescence into adulthood in the USA: a national longitudinal multicohort study.

McCabe Sean Esteban SE Veliz Philip T PT Dickinson Kara K Schepis Ty S TS Schulenberg John E JE

The lancet. Psychiatry 20190911 10

<h4>Background</h4>Prescription drug misuse is most prevalent during young adulthood (ages 18-25 years). We aimed to identify prescription drug misuse trajectories for three drug classes (opioids, stimulants, and sedatives or tranquilisers) from adolescence into adulthood, assess the extent to which different trajectories are associated with symptoms of substance use disorder, and identity factors associated with high-risk prescription drug misuse trajectories.<h4>Methods</h4>For this longitudin ...[more]

PMID: 31521577

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Project description:BackgroundReports on body mass index (BMI) trajectories from childhood into late adolescence, their determinants, and subsequent cardiometabolic risk markers, particularly among European populations have been few. Moreover, sex-specific investigation is necessary considering the sex difference in BMI, and the sex-specific association between BMI and some cardiometabolic risk markers.MethodsUsing a sample from the DOrtmund Nutritional and Anthropometric Longitudinally Designed study, we explored sex-specific trajectories of the BMI standard deviation score (SDS) from 4 to 18 years of age in 354 males and 335 females by latent (class) growth models. The determinants of trajectory were assessed by logistic regression. We identified cardiometabolic risk markers that were highly associated with BMI SDS trajectory by random forest regression, and finally we used generalized linear models to investigate differences in the identified cardiometabolic risk markers between pairs of trajectories.ResultsWe observed four: 'low-normal weight', 'mid-normal weight', 'high-normal weight', and 'overweight', and three: ''low-normal weight', 'mid-normal weight', and 'high-normal weight' trajectories in males and females, respectively. Higher maternal prepregnancy BMI was associated with the 'overweight' trajectory, and with 'high-normal weight' trajectory in both sexes. In addition, employed mothers and first-born status were associated with 'high-normal weight' trajectory in females. BMI SDS trajectory was associated with high-density lipoprotein-cholesterol and interleukin-18 (IL-18) in males, and diastolic blood pressure and interleukin-6 (IL-6) in females. However, only males following the 'overweight' trajectory had significantly higher IL-18 when compared to their 'low-normal weight' counterpart.ConclusionsWe identified sex-specific distinct trajectories of BMI SDS from childhood into late adolescence, higher maternal prepregnancy BMI as a common determinant of the 'high-normal weight' and 'overweight' trajectories, and 'overweight' trajectory being associated with elevated IL-18 in late adolescence-young adulthood. This study emphasizes the role of maternal prepregnancy BMI in overweight, and highlights IL-18 as a cardiometabolic signature of overweight across life.

Project description:Mixed findings exist in studies comparing brain responses to reward in adolescents and adults. Here we examined the trajectories of brain response, functional connectivity and task-modulated network properties during reward processing with a large-sample longitudinal design. Participants from the IMAGEN study performed a Monetary Incentive Delay task during fMRI at timepoint 1 (T1; n = 1304, mean age=14.44 years old) and timepoint 2 (T2; n = 1241, mean age=19.09 years). The Alcohol Use Disorders Identification Test (AUDIT) was administrated at both T1 and T2 to assess a participant's alcohol use during the past year. Voxel-wise linear mixed effect models were used to compare whole brain response as well as functional connectivity of the ventral striatum (VS) during reward anticipation (large reward vs no-reward cue) between T1 and T2. In addition, task-modulated networks were constructed using generalized psychophysiological interaction analysis and summarized with graph theory metrics. To explore alcohol use in relation to development, participants with no/low alcohol use at T1 but increased alcohol use to hazardous use level at T2 (i.e., participants with AUDIT≤2 at T1 and ≥8 at T2) were compared against those with consistently low scores (i.e., participants with AUDIT≤2 at T1 and ≤7 at T2). Across the whole sample, lower brain response during reward anticipation was observed at T2 compared with T1 in bilateral caudate nucleus, VS, thalamus, midbrain, dorsal anterior cingulate as well as left precentral and postcentral gyrus. Conversely, greater response was observed bilaterally in the inferior and middle frontal gyrus and right precentral and postcentral gyrus at T2 (vs. T1). Increased functional connectivity with VS was found in frontal, temporal, parietal and occipital regions at T2. Graph theory metrics of the task-modulated network showed higher inter-regional connectivity and topological efficiency at T2. Interactive effects between time (T1 vs. T2) and alcohol use group (low vs. high) on the functional connectivity were observed between left middle temporal gyrus and right VS and the characteristic shortest path length of the task-modulated networks. Collectively, these results demonstrate the utility of the MID task as a probe of typical brain response and network properties during development and of differences in these features related to adolescent drinking, a reward-related behaviour associated with heightened risk for future negative health outcomes.

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Project description:BackgroundThe misuse of prescription opioids (MUPO) is a leading public health concern. Social media are playing an expanded role in public health research, but there are few methods for estimating established epidemiological metrics from social media. The purpose of this study was to demonstrate that the geographic variation of social media posts mentioning prescription opioid misuse strongly correlates with government estimates of MUPO in the last month.MethodsWe wrote software to acquire publicly available tweets from Twitter from 2012 to 2014 that contained at least one keyword related to prescription opioid use (n = 3,611,528). A medical toxicologist and emergency physician curated the list of keywords. We used the semantic distance (SemD) to automatically quantify the similarity of meaning between tweets and identify tweets that mentioned MUPO. We defined the SemD between two words as the shortest distance between the two corresponding word-centroids. Each word-centroid represented all recognized meanings of a word. We validated this automatic identification with manual curation. We used Twitter metadata to estimate the location of each tweet. We compared our estimated geographic distribution with the 2013-2015 National Surveys on Drug Usage and Health (NSDUH).ResultsTweets that mentioned MUPO formed a distinct cluster far away from semantically unrelated tweets. The state-by-state correlation between Twitter and NSDUH was highly significant across all NSDUH survey years. The correlation was strongest between Twitter and NSDUH data from those aged 18-25 (r = 0.94, p < 0.01 for 2012; r = 0.94, p < 0.01 for 2013; r = 0.71, p = 0.02 for 2014). The correlation was driven by discussions of opioid use, even after controlling for geographic variation in Twitter usage.ConclusionsMentions of MUPO on Twitter correlate strongly with state-by-state NSDUH estimates of MUPO. We have also demonstrated that a natural language processing can be used to analyze social media to provide insights for syndromic toxicosurveillance.

Dataset Information

Trajectories of prescription drug misuse during the transition from late adolescence into adulthood in the USA: a national longitudinal multicohort study.

Publications

Trajectories of prescription drug misuse during the transition from late adolescence into adulthood in the USA: a national longitudinal multicohort study.

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