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Cannabis and depression: An integrative data analysis of four Australasian cohorts

Overview of attention for article published in Drug & Alcohol Dependence, June 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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5 policy sources
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1 X user
facebook
1 Facebook page
reddit
9 Redditors

Readers on

mendeley
203 Mendeley
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Article details
Title
Cannabis and depression: An integrative data analysis of four Australasian cohorts
Published in
Drug & Alcohol Dependence, June 2012
DOI 10.1016/j.drugalcdep.2012.06.002
Pubmed ID
Authors
Abstract

This study presents an integrative data analysis of the association between frequency of cannabis use and severity of depressive symptoms using data from four Australasian cohort studies. The integrated data comprised observations on over 6900 individuals studied on up to seven occasions between adolescence and mature adulthood. Repeated measures data on frequency of cannabis use (not used/<monthly/≥monthly/≥weekly) and concurrently assessed depression scores were pooled over the four cohorts. Regression models were fitted to estimate the strength of association between cannabis use and depression. Fixed effects regression methods were used to control for confounding by non-observed fixed factors. Increasing frequency of cannabis use was associated with increasing depressive symptoms (p<0.001). In the pooled data weekly users of cannabis had depression scores that were 0.32 (95%CI 0.27-0.37) SD higher than non-users. The association was reduced but remained significant (p<0.001) upon adjustment for confounding. After adjustment depression scores for weekly users were 0.24 (95%CI 0.18-0.30) SD higher than non-users. The adjusted associations were similar across cohorts. There was a weak age×cannabis use interaction (p<0.05) suggesting that the association was strongest in adolescence. Attempts to further test the direction of causality using SEM methods proved equivocal. More frequent cannabis use was associated with modest increases in rates of depressive symptoms. This association was stronger in adolescence and declined thereafter. However, it was not possible from the available data to draw a definitive conclusion as to the likely direction of causality between cannabis use and depression.

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X Demographics

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 203 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 %
United States 2 <1%
Australia 2 <1%
Latvia 1 <1%
United Kingdom 1 <1%
Unknown 197 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 30 15%
Student > Master 28 14%
Student > Bachelor 25 12%
Student > Ph. D. Student 25 12%
Student > Doctoral Student 10 5%
Other 35 17%
Unknown 50 25%
Readers by discipline
Readers by discipline Count As %
Psychology 46 23%
Medicine and Dentistry 40 20%
Social Sciences 12 6%
Nursing and Health Professions 11 5%
Neuroscience 10 5%
Other 28 14%
Unknown 56 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 16 December 2024.
All research outputs
#2,508,857
of 34,517,649 outputs
Outputs from Drug & Alcohol Dependence
#1,161
of 7,197 outputs
Outputs of similar age
#13,436
of 213,267 outputs
Outputs of similar age from Drug & Alcohol Dependence
#13
of 64 outputs
Altmetric has tracked 34,517,649 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,197 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. This one has done well, scoring higher than 83% 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 213,267 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.