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Mendeley readers
Attention Score in Context
| Title |
Transitions through stages of alcohol involvement: The potential role of mood disorders
|
|---|---|
| Published in |
Drug & Alcohol Dependence, April 2018
|
| DOI | 10.1016/j.drugalcdep.2018.02.027 |
| Pubmed ID | |
| Authors |
Rosa M Crum, Kerry M Green, Elizabeth A Stuart, Lareina N La Flair, Marc Kealhofer, Andrea S Young, Noa Krawczyk, Kayla N Tormohlen, Carla L Storr, Anika A H Alvanzo, Ramin Mojtabai, Lauren R Pacek, Bernadette A Cullen, Beth A Reboussin |
| Abstract |
Although prior clinical and population-based studies have demonstrated comorbidity between mood and alcohol use disorders (AUD), there is a paucity of research assessing whether mood disorders predict transition across stages of alcohol involvement. Hypothesizing that mood disorders predict transition across sex-specific alcohol involvement stages, we used prospective data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), a nationally representative survey of US adults, which included male (n = 14,564) and female (n = 20,089) participants surveyed in 2001-2 and re-interviewed in 2004-5. Latent class (LCA) and latent transition analyses (LTA) were used to assess patterns of alcohol involvement in the US and the association of lifetime mood disorders at baseline with transition across stages of alcohol involvement during follow-up. A three-class model of AUD criteria was identified (No problems, Moderate problems and Severe problems) for both sexes. Positive cross-sectional associations between mood disorder and problem classes of alcohol involvement were found among both sexes, as were positive longitudinal associations. Propensity score adjustment mitigated the associations of baseline mood disorder with progressive transition for both sexes. However, among females, baseline mood disorder was consistently associated with reduction in remission from Severe to Moderate alcohol problems (aOR = 0.30, CI = 0.09-0.99, p = .048) over time. Our study provides evidence that mood disorders impact transition through stages of alcohol involvement and are most strongly associated with hindering remission among females. Findings advance our understanding of these comorbid relationships and have clinical implications for ongoing assessment of drinking patterns among individuals with mood disorders. |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 15% |
| Student > Master | 7 | 12% |
| Researcher | 6 | 10% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Doctoral Student | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 21 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 32% |
| Psychology | 5 | 8% |
| Business, Management and Accounting | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Neuroscience | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 25 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 10 April 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from Drug & Alcohol Dependence
#5,679
of 6,130 outputs
Outputs of similar age
#302,997
of 343,274 outputs
Outputs of similar age from Drug & Alcohol Dependence
#116
of 148 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,130 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 343,274 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.