| Title |
Associations between stress and depression symptom profiles vary according to serotonin transporter polymorphism in rural Australians
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, August 2018
|
| DOI | 10.2147/ndt.s168291 |
| Pubmed ID | |
| Authors |
Christopher F Sharpley, Vicki Bitsika, Mary E McMillan, Emmanuel Jesulola, Linda L Agnew |
| Abstract |
Depression remains difficult to treat in all cases, and further investigation of the role of genetic and environmental factors may be valuable. This study was designed to investigate the association between the short (s) versus non-short (non-s) 5HTTLPR variants, presence of childhood stressors and recent life stressors, and depression, and to do so at two levels that would expose the associations between total depression scores and also individual depression items. Two hundred and forty-nine volunteers from one of the Australian Electoral Office electorates covering a large rural land area completed a series of questionnaires about childhood and recent life stress and depression, and provided a buccal cell sample for genotyping the 5-HTTLPR polymorphism into s versus non-s carriers. Although there were no significant differences in the depression scores of the s-carriers versus the non-s carriers, each subtype of the 5-HTTLPR polymorphism showed different patterns of association between childhood stress and depression symptoms, and between recent life stress and depression symptoms. Individualization of therapy for depression may be achieved through consideration of the specific associations that patients exhibit between life stress, 5-HTTLPR polymorphism, and depression symptomatology. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 24% |
| Student > Ph. D. Student | 4 | 19% |
| Student > Bachelor | 3 | 14% |
| Student > Doctoral Student | 2 | 10% |
| Researcher | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 4 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 6 | 29% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 19% |
| Neuroscience | 3 | 14% |
| Agricultural and Biological Sciences | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 24% |
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 06 September 2018.
All research outputs
#19,954,338
of 25,385,509 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,192
of 3,131 outputs
Outputs of similar age
#249,802
of 341,886 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#36
of 79 outputs
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