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Predictors of comorbid polysubstance use and mental health disorders in young adults—a latent class analysis

Overview of attention for article published in Addiction, August 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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Title
Predictors of comorbid polysubstance use and mental health disorders in young adults—a latent class analysis
Published in
Addiction, August 2015
DOI 10.1111/add.13058
Pubmed ID
Authors

Caroline L Salom, Kim S Betts, Gail M Williams, Jackob M Najman, Rosa Alati

Abstract

Co-occurrence of mental health and substance-use disorders adds complexity to already-significant health burdens. This study tests whether mental health disorders group differently across substance use disorder types and compares associations of early factors with the development of differing comorbidities. Consecutive antenatal clinic attendees were recruited to the longitudinal Mater-University of Queensland Study of Pregnancy (MUSP). Mother/offspring dyads were followed over 21 years. Mater-Misericordiae Public Hospital, Brisbane, Australia. MUSP offspring with maternal baseline information (n = 7223), offspring behaviour data at 14 (n = 4815) and psychiatric diagnoses at 21 (n = 2233). The Composite International Diagnostic Interview yielded lifetime diagnoses of mental health (MH) and substance use (SU) disorders for offspring, then latent class modelling predicted membership of poly-disorder groups. We fitted the resulting estimates in multinomial logistic regression models, adjusting for maternal smoking, drinking and mental health, adolescent drinking, smoking and behaviour and mother-child closeness. Fit indices (BIC = 12415; AIC = 12234) from LCA supported a four-class solution: low-disorder (73.6%), MH/low-SU-disorder (10.6%), alcohol/cannabis/low-MH-disorder (12.2%), and poly-SU/moderate-MH-disorder (3.5%). Adolescent drinking predicted poly-SU/MH-disorders (OR 3.34; CI95 1.42-7.84), while externalising predicted membership of both SU-disorder groups (ORalcohol/cannabis 2.04, CI95 1.11-3.75; ORpoly-substance 2.65, CI95 1.1-6.08). Maternal smoking during pregnancy predicted MH (OR 1.53, CI95 1.06-2.23) and alcohol/cannabis-use disorders (OR 1.73; CI95 1.22-2.45). Low maternal warmth predicted mental health disorders only (OR 2.21, CI95 1.32-3.71). Mental health disorders are more likely in young adults with poly-substance-use disorders than those with alcohol/cannabis use disorders. Predictors of comorbid mental health/poly-substance use disorders differ from those for alcohol/cannabis use disorders, and are detectable during adolescence.

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X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Switzerland 1 <1%
Unknown 205 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 16%
Student > Master 26 13%
Student > Ph. D. Student 21 10%
Student > Bachelor 21 10%
Student > Doctoral Student 19 9%
Other 38 18%
Unknown 49 24%
Readers by discipline Count As %
Psychology 51 25%
Medicine and Dentistry 35 17%
Social Sciences 15 7%
Nursing and Health Professions 9 4%
Neuroscience 8 4%
Other 22 11%
Unknown 67 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 February 2017.
All research outputs
#2,941,810
of 23,342,664 outputs
Outputs from Addiction
#1,892
of 5,919 outputs
Outputs of similar age
#39,761
of 268,650 outputs
Outputs of similar age from Addiction
#40
of 88 outputs
Altmetric has tracked 23,342,664 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,919 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.4. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 268,650 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.