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Major depression and alcohol use disorder in adolescence: Does comorbidity lead to poorer outcomes of depression?

Overview of attention for article published in Journal of Affective Disorders, September 2016
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  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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79 Mendeley
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Article details
Title
Major depression and alcohol use disorder in adolescence: Does comorbidity lead to poorer outcomes of depression?
Published in
Journal of Affective Disorders, September 2016
DOI 10.1016/j.jad.2016.09.004
Pubmed ID
Authors
Abstract

Comorbid major depression (MD) and alcohol use disorder (AUD), particularly in adolescents, have been shown to be associated with poorer subsequent MD outcomes. Longitudinal data were used to model associations between a four-level classification of MD/AUD during the period 15-18 years (neither; MD-only; AUD-only; comorbid MD/AUD) and MD over the period 18-35 years. These associations were then adjusted for confounding by a series of factors measured in childhood. The three disorder groups had rates of adult MD during the period 18-35 years that were significantly (p<.05) higher than that of the group with no disorder. Furthermore, those in the comorbid MD/AUD group had significantly (p <.05) higher rates of adult MD than those in the AUD-only group, and marginally (p <.10) higher rates of adult MD than those in the MD-only group. After adjustment for confounding, the difference in rates of adult MD between the MD-only group and the MD/AUD group were no longer statistically significant. The factors that explained the associations were gender, childhood behavior problems, and exposure to physical and sexual abuse. The data were obtained by self-report, and may have been subject to biases. The results of these analyses suggest that marginally higher rates of depression to age 35 amongst the comorbid MD/AUD group were explained by increased exposure to adverse childhood circumstances amongst members of the comorbid group. Adolescent MD/AUD comorbidity is likely to be a risk marker, rather than a causal factor in subsequent MD.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 13 16%
Student > Master 10 13%
Researcher 10 13%
Student > Ph. D. Student 7 9%
Lecturer 4 5%
Other 12 15%
Unknown 23 29%
Readers by discipline
Readers by discipline Count As %
Psychology 18 23%
Medicine and Dentistry 18 23%
Nursing and Health Professions 6 8%
Business, Management and Accounting 2 3%
Agricultural and Biological Sciences 2 3%
Other 6 8%
Unknown 27 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 August 2025.
All research outputs
#11,505,332
of 34,492,055 outputs
Outputs from Journal of Affective Disorders
#5,943
of 12,981 outputs
Outputs of similar age
#119,724
of 334,275 outputs
Outputs of similar age from Journal of Affective Disorders
#72
of 165 outputs
Altmetric has tracked 34,492,055 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 12,981 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 52% 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 334,275 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 165 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 52% of its contemporaries.