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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recognition of depression, anxiety, and alcohol abuse in a Chinese rural sample: a cross-sectional study
|
|---|---|
| Published in |
BMC Psychiatry, April 2016
|
| DOI | 10.1186/s12888-016-0802-0 |
| Pubmed ID | |
| Authors |
Yu Yu, Mi Hu, Zi-wei Liu, Hui-ming Liu, Joyce P. Yang, Liang Zhou, Shui-yuan Xiao |
| Abstract |
Under-utilization of mental health services is a global health issue. Recognition of mental disorders, as the first step to seeking help from professional sources, has been well studied in developed countries, yet little is known about the situation in rural areas of developing countries like China. The purpose of the study is to understand the recognition of depression, anxiety, and alcohol abuse and its predictive factors in a Chinese rural sample Face-to-face interviews were conducted on a representative rural adult sample in a cross-sectional study in China (N = 2052). Respondents were presented with three vignettes depicting depression, anxiety and alcohol abuse and asked to label the disorder and its cause to assess their recognition of the three mental disorders. They also completed the Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder Scale (GAD-7), and the Alcohol Use Disorders Identification Test (AUDIT) to assess their current mental health status. The alcohol abuse vignette was more frequently attributed as a mental problem than the depression vignette and anxiety vignette. The correct labeling rate was 16.1 % in the depression vignette, 15.5 % in the anxiety vignette, and 58.2 % in the alcohol vignette. Higher education is the common and also strongest factor positively predicting the recognition of all three vignettes. Beyond that, being female is an independent predictor of correct recognition of alcohol abuse, while recognition of depression and anxiety were positively predicted by younger age. Lower recognition of depression and anxiety as compared to alcohol abuse confirms the importance and need to increase the public's awareness and knowledge about common mental disorders. Recognition of common mental disorders could be improved through general public campaign and education, while paying attention to the unique predictive factors for each specific disorder and implement targeted intervention. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 147 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 16% |
| Student > Ph. D. Student | 16 | 11% |
| Student > Bachelor | 15 | 10% |
| Researcher | 10 | 7% |
| Student > Doctoral Student | 9 | 6% |
| Other | 16 | 11% |
| Unknown | 58 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 33 | 22% |
| Medicine and Dentistry | 23 | 16% |
| Social Sciences | 8 | 5% |
| Nursing and Health Professions | 6 | 4% |
| Neuroscience | 3 | 2% |
| Other | 14 | 9% |
| Unknown | 61 | 41% |
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 22 April 2016.
All research outputs
#15,366,818
of 22,860,626 outputs
Outputs from BMC Psychiatry
#3,385
of 4,698 outputs
Outputs of similar age
#180,803
of 301,058 outputs
Outputs of similar age from BMC Psychiatry
#75
of 111 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,698 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 21st percentile – i.e., 21% 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 301,058 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.