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Mendeley readers
Attention Score in Context
| Title |
Correct recognition and continuum belief of mental disorders in a nursing student population
|
|---|---|
| Published in |
BMC Psychiatry, August 2017
|
| DOI | 10.1186/s12888-017-1447-3 |
| Pubmed ID | |
| Authors |
Lee Seng Esmond Seow, Boon Yiang Chua, Huiting Xie, Jia Wang, Hui Lin Ong, Edimansyah Abdin, Siow Ann Chong, Mythily Subramaniam |
| Abstract |
The current study aimed to explore the correct recognition of mental disorders across dementia, alcohol abuse, obsessive compulsive disorder (OCD), schizophrenia and depression, along with its correlates in a nursing student population. The belief in a continuum of symptoms from mental health to mental illness and its relationship with the non-identification of mental illness was also explored. Five hundred students from four nursing institutions in Singapore participated in this cross-sectional online study. Respondents were randomly assigned to a vignette describing one of the five mental disorders before being asked to identify what the person in the vignette is suffering from. Continuum belief was assessed by rating their agreeableness with the following statement: "Sometimes we all behave like X. It is just a question of how severe or obvious this condition is". OCD had the highest correct recognition rate (86%), followed by depression (85%), dementia (77%), alcohol abuse (58%) and schizophrenia (46%). For continuum belief, the percentage of respondents who endorsed symptom continuity were 70% for depression, 61% for OCD, 58% for alcohol abuse, 56% for dementia and 46% for schizophrenia. Of concern, we found stronger continuum belief to be associated with the non-identification of mental illness after controlling for covariates. There is a need to improve mental health literacy among nursing students. Almost a quarter of the respondents identified excessive alcohol drinking as depression, even though there was no indication of any mood symptom in the vignette on alcohol abuse. Further education and training in schizophrenia may need to be conducted. Healthcare trainees should also be made aware on the possible influence of belief in symptom continuity on one's tendency to under-attribute mental health symptoms as a mental illness. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 134 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 25 | 19% |
| Student > Master | 20 | 15% |
| Student > Doctoral Student | 13 | 10% |
| Student > Ph. D. Student | 12 | 9% |
| Researcher | 9 | 7% |
| Other | 19 | 14% |
| Unknown | 36 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 25 | 19% |
| Nursing and Health Professions | 23 | 17% |
| Medicine and Dentistry | 14 | 10% |
| Social Sciences | 10 | 7% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 11 | 8% |
| Unknown | 47 | 35% |
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 March 2018.
All research outputs
#18,566,650
of 22,996,001 outputs
Outputs from BMC Psychiatry
#3,934
of 4,737 outputs
Outputs of similar age
#243,312
of 317,751 outputs
Outputs of similar age from BMC Psychiatry
#94
of 112 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,737 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 10th percentile – i.e., 10% 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 317,751 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.