| Literature DB >> 35705987 |
Wen-Ching Tang1, Min-Pei Lin2, Jo Yung-Wei Wu3, Yueh-Ting Lee4, Jianing You5.
Abstract
BACKGROUND: Nock's (2009) integrated theoretical model suggests that specific intrapersonal vulnerability factors caused by distal risk factors contribute to the development of nonsuicidal self-injury (NSSI). Alexithymia and depression have been found to predict NSSI. Based on Nock's model, alexithymia plays a distal risk factor role to increase the risk of depression-an intrapersonal vulnerability factor-and further increase the risk of NSSI. However, small or unrepresentative samples in past studies limit the generalizability of the results. This study examined the roles of depression and alexithymia in predicting NSSI, as well as the mediating effect of depression in the relation between alexithymia and NSSI in a large representative sample of adolescents in Taiwan.Entities:
Keywords: Alexithymia; Depression; Nonsuicidal self-injury
Year: 2022 PMID: 35705987 PMCID: PMC9202208 DOI: 10.1186/s13034-022-00477-8
Source DB: PubMed Journal: Child Adolesc Psychiatry Ment Health ISSN: 1753-2000 Impact factor: 7.494
The correlations among variables
| Variables | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. Alexithymia | – | ||||||||||
| 2. Difficulty describing emotions | 0.87*** | — | |||||||||
| 3. Difficulty identifying emotions | 0.90*** | 0.74*** | – | ||||||||
| 4. Externally oriented thinking | 0.56** | 0.30*** | 0.20*** | – | |||||||
| 5. Depression | 0.48*** | 0.40*** | 0.53*** | 0.12*** | – | ||||||
| 6. Affective | 0.44*** | 0.37*** | 0.50*** | 0.09*** | 0.87*** | – | |||||
| 7. Physiological | 0.33*** | 0.25*** | 0.36*** | 0.11*** | 0.81*** | 0.57*** | – | ||||
| 8. Behavior | 0.33*** | 0.29*** | 0.37*** | 0.06** | 0.69*** | 0.54*** | 0.51*** | – | |||
| 9. Cognitive | 0.47*** | 0.42*** | 0.51*** | 0.11*** | 0.90*** | 0.71*** | 0.58*** | 0.61*** | – | ||
| 10. NSSI frequency | 0.19*** | 0.14*** | 0.21*** | 0.07*** | 0.38*** | 0.30*** | 0.32*** | 0.25*** | 0.36*** | – | |
| 53.29 | 13.81 | 18.36 | 21.12 | 12.15 | 4.06 | 3.37 | 0.54 | 4.19 | 1.22 | ||
10.85 − 0.16 − 0.11 | 3.66 − 0.08 − 0.06 | 6.24 0.14 − 0.36 | 3.73 − 0.55 0.39 | 9.28 1.21 1.74 | 3.19 0.96 0.88 | 3.02 1.56 3.62 | 0.85 1.85 3.74 | 3.84 1.26 1.77 | 4.06 5.77 41.97 | ||
**p < .01; ***p < .001
Fig. 1Mediational model 1. Chi-square: 376.437*** (df: 19). GFI: 0.956; CFI: 0.944; IFI: 0.944; NFI: 0.942; NNFI: 0.918; RMSEA: 0.096; SRMR: 0.070; ***p < .001
Fig. 2Mediational model 2. Chi-square: 195.366*** (df: 18). GFI: 0.977; CFI: 0.972; IFI: 0.972; NFI: 0.970; NNFI: 0.957; RMSEA: 0.070; SRMR: 0.031; ***p < .001
Mediating effect of depression between alexithymia and NSSI
| Path | Effect value | Boot CI | Boot CI | |
|---|---|---|---|---|
| Indirect effect | Alexithymia-Depression-NSSI | 1.095*** | 1.517 | 0.781 |
| Direct effect | Alexithymia-NSSI | − 0.164 | 0.057 | − 0.411 |
***p < .001