| Literature DB >> 36032240 |
Zhiyu Ye1,2, Fang Xiong1,2, Wentian Li3.
Abstract
Background: Non-suicidal self-injury (NSSI) and suicide attempt (SA) are risk behaviors that lead to physical injury and even death in individuals, and are a very powerful risk factor when both occur together, with individuals presenting with more severe psychological and behavioral problems. Due to the different demographic characteristics of different study subjects, an overall understanding of the incidence and occurrence of this co-occurrence is lacking to clarify the focus of clinical interventions and future research directions.Entities:
Keywords: co-occurrence; meta-analysis; non-suicidal self-injury (NSSI); suicide attempt (SA); systematic review
Year: 2022 PMID: 36032240 PMCID: PMC9411747 DOI: 10.3389/fpsyt.2022.976217
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 5.435
Characteristics of the included studies.
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| Aboussouan | USA | 4,285 | 40.1 | 54.7% | Adult | Veterans and non-veterans | 0.096 | 12 month | Lifetime |
| Ahn et al. ( | Korea | 1,355 | 23.1 | 100.0% | Adult | ED patients | 0.099 | Lifetime | 12 month |
| Andrewes et al. ( | Australia | 107 | 18.9 | 83.0% | Youth | BPD patients | 0.523 | 12 month | 12 month |
| Anestis et al. ( | USA | 1,317 | 21.1 | 78.8% | Adult | College students | 0.089 | Lifetime | Lifetime |
| Asarnow et al. ( | USA | 334 | 15.9 | 69.7% | Adolescent | MDD patients | 0.137 | Lifetime | Lifetime |
| Baus et al. ( | Austria | 68 | 27.1 | 78.0% | Adult | BPD patients | 0.294 | Lifetime | Lifetime |
| Bjureberg et al. ( | Sweden | 1,855 | 15.5 | 74.6% | Youth | Psychiatric inpatient | 0.067 | Lifetime | Lifetime |
| Boxer ( | USA | 476 | 13.9 | 47.5% | Adolescent | Psychiatric adolescents | 0.308 | Lifetime | Lifetime |
| Brausch and Gutierrez ( | USA | 373 | 15.0 | 48.0% | Adolescent | Students | 0.040 | Lifetime | Lifetime |
| Brausch et al. ( | USA | 1,232 | 19.9 | 71.8% | Adult | College students | 0.030 | Lifetime | Lifetime |
| Bryan ( | USA | 422 | 36.3 | 27.3% | Adult | Military Personnel and | 0.026 | Lifetime | Lifetime |
| Bryan ( | USA | 176 | 27.5 | 13.1% | Adult | Military personnel | 0.233 | 12 month | Lifetime |
| Chartrand et al. ( | Canada | 264 | NA | 52.6% | Adult | Psychiatric inpatient | 0.254 | Lifetime | Lifetime |
| Cheung et al. ( | China | 2,317 | 16.4 | 54.8% | Adolescent | Students | 0.047 | 12 month | 12 month |
| Coppersmith et al. ( | USA | 709 | NA | NA | Adult | General population | 0.073 | Lifetime | Lifetime |
| Favril ( | Belgium | 1,203 | 37.7 | 0.0% | Adult | Male prisoners | 0.091 | Lifetime | Lifetime |
| Güney et al. ( | Turkey | 165 | 36.5 | 27.3% | Adult | SSD patients | 0.248 | Lifetime | Lifetime |
| Jacobson et al. ( | USA | 227 | 15.1 | 68.0% | Adolescent | Psychiatric outpatient | 0.176 | Lifetime | Lifetime |
| Kearns et al. ( | USA | 357 | 41.4 | 19.9% | Adult | Military veterans | 0.109 | Lifetime | Lifetime |
| Lear et al. ( | USA | 165 | 42.9 | 11.5% | Adult | Veterans | 0.061 | Lifetime | Lifetime |
| Liang et al. ( | China | 2,131 | 13.0 | 49.1% | Adolescent | Students | 0.023 | Lifetime | Lifetime |
| Liu et al. ( | China | 11,831 | 15.0 | 49.1% | Adolescent | Students | 0.009 | Lifetime | Lifetime |
| Macrynikola et al. ( | USA | 1,712 | 22.76 | 81.0% | Adult | College students | 0.077 | 12 month | 12 month |
| Mars et al. ( | UK | 4,850 | NA | 76.5 | Adolescent | General population | 0.009 | Lifetime | Lifetime |
| Mork et al. ( | Norway | 251 | 30.1 | 42.0% | Adult | Schizophrenia patients | 0.143 | Lifetime | Lifetime |
| Muehlenkamp et al. ( | USA | 441 | 14.9 | 70.9% | Adolescent | Psychiatric outpatient | 0.193 | Lifetime | Lifetime |
| Nielsen et al. ( | UK | 313 | 19.8 | 81.0% | Adult | Community Sample | 0.121 | Lifetime | Lifetime |
| O'Connor et al. ( | UK | 3,508 | NA | 49.4% | Adult | General population | 0.063 | Lifetime | Lifetime |
| Plener et al. ( | Germany | 665 | 14.8 | 57.1% | Adolescent | Students | 0.050 | Lifetime | Lifetime |
| Polanco-Roman et al. ( | USA | 352 | 19.1 | 74.0% | Adult | College students | 0.148 | Lifetime | Lifetime |
| Preyde et al. ( | Canada | 123 | 15.7 | 74.4% | Adolescent | Psychiatric inpatient | 0.565 | Lifetime | Lifetime |
| Taliaferro et al. ( | USA | 1,635 | NA | 68.1%were | Adolescent | Transgender Youth | 0.180 | Lifetime | 12 month |
| Taliaferro and Muehlenkamp ( | USA | 16,044 | NA | 64.3% | Adult | College students | 0.011 | Lifetime | 12 month |
| Taliaferro et al. ( | USA | 61,330 | NA | 47.2% | Adolescent | Students | 0.033 | Lifetime | 12 month |
| Tang et al. ( | China | 15,623 | 15.2 | 48.5% | Adolescent | Students | 0.031 | 12 month | 12 month |
| Voss et al. ( | Germany | 1,180 | 17.9 | 48.3% | Adolescent and young adult | General population | 0.066 | Lifetime | Lifetime |
| Wolff et al. ( | USA | 185 | 15.1 | 78.1% | Adolescent | Psychiatric inpatient | 0.427 | Lifetime | Lifetime |
Figure 1Flow chart of PRISMA study.
Figure 2Co-occurrence of NSSI + SA.
Figure 3Co-occurrence of NSSI + SA (excluding outliers).