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Quantifying the impact of chronic conditions on a diagnosis of major depressive disorder in adults: a cohort study using linked electronic medical records

Overview of attention for article published in BMC Psychiatry, April 2016
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Title
Quantifying the impact of chronic conditions on a diagnosis of major depressive disorder in adults: a cohort study using linked electronic medical records
Published in
BMC Psychiatry, April 2016
DOI 10.1186/s12888-016-0821-x
Pubmed ID
Authors

Euijung Ryu, Alanna M. Chamberlain, Richard S. Pendegraft, Tanya M. Petterson, William V. Bobo, Jyotishman Pathak

Abstract

Major depressive disorder (MDD) is often comorbid with other chronic mental and physical health conditions. Although the literature widely acknowledges the association of many chronic conditions with the risk of MDD, the relative importance of these conditions on MDD risk in the presence of other conditions is not well investigated. In this study, we aimed to quantify the relative contribution of selected chronic conditions to identify the conditions most influential to MDD risk in adults and identify differences by age. This study used electronic health record (EHR) data on patients empanelled with primary care at Mayo Clinic in June 2013. A validated EHR-based algorithm was applied to identify newly diagnosed MDD patients between 2000 and 2013. Non-MDD controls were matched 1:1 to MDD cases on birth year (±2 years), sex, and outpatient clinic visits in the same year of MDD case diagnosis. Twenty-four chronic conditions defined by Chronic Conditions Data Warehouse were ascertained in both cases and controls using diagnosis codes within 5 years of index dates (diagnosis dates for cases, and the first clinic visit dates for matched controls). For each age group (45 years or younger, between 46 and 60, and over 60 years), conditional logistic regression models were used to test the association between each condition and subsequent MDD risk, adjusting for educational attainment and obesity. The relative influence of these conditions on the risk of MDD was quantified using gradient boosting machine models. A total of 11,375 incident MDD cases were identified between 2000 and 2013. Most chronic conditions (except for eye conditions) were associated with risk of MDD, with different association patterns observed depending on age. Among 24 chronic conditions, the greatest relative contribution was observed for diabetes mellitus for subjects aged ≤ 60 years and rheumatoid arthritis/osteoarthritis for those over 60 years. Our results suggest that specific chronic conditions such as diabetes mellitus and rheumatoid arthritis/osteoarthritis may have greater influence than others on the risk of MDD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Croatia 1 <1%
United States 1 <1%
Switzerland 1 <1%
Unknown 143 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 16%
Student > Ph. D. Student 22 15%
Researcher 21 14%
Student > Bachelor 12 8%
Student > Doctoral Student 9 6%
Other 25 17%
Unknown 34 23%
Readers by discipline Count As %
Medicine and Dentistry 42 29%
Nursing and Health Professions 17 12%
Psychology 14 10%
Neuroscience 7 5%
Computer Science 6 4%
Other 22 15%
Unknown 39 27%
Attention Score in Context

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 30 April 2016.
All research outputs
#20,166,456
of 25,654,806 outputs
Outputs from BMC Psychiatry
#4,369
of 5,502 outputs
Outputs of similar age
#218,476
of 313,030 outputs
Outputs of similar age from BMC Psychiatry
#92
of 123 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.