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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Self-injurious thoughts and behaviors as risk factors for future suicide ideation, attempts, and death: a meta-analysis of longitudinal studies
|
|---|---|
| Published in |
Psychological Medicine, September 2015
|
| DOI | 10.1017/s0033291715001804 |
| Pubmed ID | |
| Authors |
J. D. Ribeiro, J. C. Franklin, K. R. Fox, K. H. Bentley, E. M. Kleiman, B. P. Chang, M. K. Nock |
| Abstract |
A history of self-injurious thoughts and behaviors (SITBs) is consistently cited as one of the strongest predictors of future suicidal behavior. However, stark discrepancies in the literature raise questions about the true magnitude of these associations. The objective of this study is to examine the magnitude and clinical utility of the associations between SITBs and subsequent suicide ideation, attempts, and death. We searched PubMed, PsycInfo, and Google Scholar for papers published through December 2014. Inclusion required that studies include at least one longitudinal analysis predicting suicide ideation, attempts, or death using any SITB variable. We identified 2179 longitudinal studies; 172 met inclusion criteria. The most common outcome was suicide attempt (47.80%), followed by death (40.50%) and ideation (11.60%). Median follow-up was 52 months (mean = 82.52, s.d. = 102.29). Overall prediction was weak, with weighted mean odds ratios (ORs) of 2.07 [95% confidence interval (CI) 1.76-2.43] for ideation, 2.14 (95% CI 2.00-2.30) for attempts, and 1.54 (95% CI 1.39-1.71) for death. Adjusting for publication bias further reduced estimates. Diagnostic accuracy analyses indicated acceptable specificity (86-87%) and poor sensitivity (10-26%), with areas under the curve marginally above chance (0.60-0.62). Most risk factors generated OR estimates of <2.0 and no risk factor exceeded 4.5. Effects were consistent regardless of sample severity, sample age groups, or follow-up length. Prior SITBs confer risk for later suicidal thoughts and behaviors. However, they only provide a marginal improvement in diagnostic accuracy above chance. Addressing gaps in study design, assessment, and underlying mechanisms may prove useful in improving prediction and prevention of suicidal thoughts and behaviors. |
X Demographics
The data shown below were collected from the profiles of 22 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 | 11 | 50% |
| United Kingdom | 2 | 9% |
| Canada | 1 | 5% |
| Colombia | 1 | 5% |
| Australia | 1 | 5% |
| Japan | 1 | 5% |
| Unknown | 5 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 68% |
| Practitioners (doctors, other healthcare professionals) | 4 | 18% |
| Scientists | 3 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 715 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 2 | <1% |
| United States | 2 | <1% |
| Australia | 2 | <1% |
| Sweden | 1 | <1% |
| Unknown | 708 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 100 | 14% |
| Researcher | 90 | 13% |
| Student > Bachelor | 69 | 10% |
| Student > Master | 68 | 10% |
| Student > Doctoral Student | 61 | 9% |
| Other | 136 | 19% |
| Unknown | 191 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 274 | 38% |
| Medicine and Dentistry | 89 | 12% |
| Social Sciences | 30 | 4% |
| Nursing and Health Professions | 20 | 3% |
| Neuroscience | 11 | 2% |
| Other | 52 | 7% |
| Unknown | 239 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 09 October 2023.
All research outputs
#1,408,852
of 25,837,817 outputs
Outputs from Psychological Medicine
#716
of 5,521 outputs
Outputs of similar age
#19,027
of 283,043 outputs
Outputs of similar age from Psychological Medicine
#10
of 68 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,521 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 86% of its peers.
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 283,043 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.