| Literature DB >> 27840618 |
Eleana Georgiou1, Sandra Mai1, Olga Pollatos1.
Abstract
Objective: Having access to bodily signals is known to be crucial for differentiating the self from others and coping with negative feelings. The interplay between bodily and emotional processes develops in adolescence, where vulnerability is high, as negative affect states often occur, that could hamper the integration of bodily input into the self. Aim of the present study in healthy adolescents was to examine, whether a disturbed emotional awareness, described by the alexithymic construct, could trigger a higher malleability in the sense of body-ownership.Entities:
Keywords: adolescents; alexithymia; body illusion; emotions; rubber hand
Year: 2016 PMID: 27840618 PMCID: PMC5083713 DOI: 10.3389/fpsyg.2016.01690
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Sample characteristics and comparison of means regarding age and gender in all variables of interest.
| Age | Gender | ||||||
|---|---|---|---|---|---|---|---|
| Younger | Older | Younger × Older | Girls | Boys | Girls × Boys | ||
| M | M | M | M | M | |||
| TAS 1 | 16.20 (4.11) | 15.90 (4.25) | 16.54 (3.97) | 0.57 | 17.14 (3.55) | 15.15 (4.46) | 1.821 |
| TAS 2 | 11.24 (3.50) | 11.30 (3.68) | 11.17 (3.30) | 0.14 | 11.50 (3.73) | 10.96 (3.27) | 0.56 |
| TAS 3 | 22.61 (3.60) | 22.30 (3.79) | 23.00 (3.36) | 0.71 | 22.25 (2.87) | 23.00 (4.26) | 0.76 |
| TAS | 50.05 (7.40) | 49.50 (8.16) | 50.71 (6.41) | 0.60 | 50.89 (7.04) | 49.11 (7.78) | 0.88 |
| EmoDis | 0.70 (0.40) | 0.63 (0.40) | 0.75 (0.40) | 1.01 | 0.75 (0.40) | 0.59 (0.39) | 1.731 |
| SDQ | 11.28 (5.41) | 10.00 (4.21) | 12.88 (6.35) | 1.99∗ | 11‘.68 (5,21) | 10.85 (5.70) | 0.56 |
Multiple linear regression analysis predicting alexithymia (subscales and total score) related to emotional distress and emotional and conduct problems.
| Outcome | Predictor | β | 95 % CI | ||
|---|---|---|---|---|---|
| TAS 1 | SDQ | 0.32 | 0.09 | 0.32∗∗ | [0.05, 0.42] |
| EmoDis | 0.38 | 1.24 | 0.38∗∗ | [1.38, 6.36] | |
| TAS 2 | SDQ | 0.13 | 0.08 | 0.20 | [-0.04, 0.30] |
| EmoDis | 3.09 | 1.14 | 0.36∗∗ | [0.80, 5.38] | |
| TAS 3 | SDQ | 0.10 | 0.10 | 0.31 | [-0.09, 0.29] |
| EmoDis | 0.16 | 1.30 | 0.90 | [-2.46, 2.78] | |
| TAS | SDQ | 0.42 | 0.16 | 0.31∗∗ | [0.09, 0.75] |
| EmoDis | 6.81 | 2.21 | 0.37∗∗∗ | [2.36, 11.26] | |
Pearson r correlation matrix for the RHI (subjective and objective reports) and questionnaire data
| Drift_S | Temperature_S | Ownership_S | Location_S | EmoDis | SDQ | |
|---|---|---|---|---|---|---|
| Drift_S | 1.00 | |||||
| Temp_S | -0.40∗∗ | 1.00 | ||||
| Ownership_S | 0.35∗∗ | -0.19 | 1.00 | |||
| Location_S | 0.27∗ | -0.01 | 0.69∗∗ | 1.00 | ||
| EmoDis | 0.10 | -0.02 | 0.14 | -0.01 | 1.00 | |
| SDQ | 0.26∗ | -0.45∗∗ | 0.21 | 0.18 | 0.32∗ | 1.00 |
Regression analysis predicting TAS 2 on the basis of RHI subjective and objective measures.
| Outcome | Predictor | 95% CIs | |||
|---|---|---|---|---|---|
| Model 1 | |||||
| Ownership_S | TAS 2 | 0.12 | 0.06 | 2.02∗ | [0.00, 0.24] |
| Model 1 | |||||
| Drift_S | TAS 2 | 0.47 | 0.017 | 2.76∗∗ | [0.13, 0.81] |