| Title |
Rate and Predictors of Persistent Major Depressive Disorder in a Nationally Representative Sample
|
|---|---|
| Published in |
Community Mental Health Journal, December 2014
|
| DOI | 10.1007/s10597-014-9793-9 |
| Pubmed ID | |
| Authors |
Elizabeth Reisinger Walker, Benjamin G. Druss |
| Abstract |
This study examined predictors of persistent major depressive disorder over 10 years, focusing on the effects of clinical variables, physical health, and social support. Data from the National Survey of Midlife Development in the United States in 1995-1996 and 2004-2006 were analyzed. Logistic regression was used to predict non-recovery from major depression among individuals who met clinical-based criteria for major depressive disorder at baseline. Fifteen percent of the total sample was classified as having major depression in 1995-1996; of these individuals, 37 % had major depression in 2004-2006. Baseline variables that were significantly associated with persistent major depression at follow-up were being female, having never married, having two or more chronic medical conditions, experiencing activity limitation, and less contact with family. Therefore, treatment strategies focused on physical health, social support, and mental health needs are necessary to comprehensively address the factors that contribute to persistent major depressive disorder. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Canada | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 49 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Student > Master | 9 | 18% |
| Student > Bachelor | 7 | 14% |
| Researcher | 5 | 10% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 12 | 24% |
| Nursing and Health Professions | 8 | 16% |
| Medicine and Dentistry | 7 | 14% |
| Social Sciences | 3 | 6% |
| Neuroscience | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 13 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 September 2015.
All research outputs
#14,792,641
of 22,775,504 outputs
Outputs from Community Mental Health Journal
#768
of 1,283 outputs
Outputs of similar age
#198,029
of 353,184 outputs
Outputs of similar age from Community Mental Health Journal
#15
of 32 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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We're also able to compare this research output to 32 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 50% of its contemporaries.