| Literature DB >> 34324085 |
Arturo Enrique Orozco-Vargas1,2, Arturo Venebra-Muñoz3, Ulises Aguilera-Reyes3, Georgina Isabel García-López3,4.
Abstract
The effects of family of origin violence and intimate partner violence have been extensively documented; however, very few studies have examined the interaction with emotion regulation strategies. Thus, the objective of this research was to analyze whether different types of emotion regulation strategies, both adaptive and maladaptive, mediate the relationship between family of origin violence and intimate partner violence in the Mexican population. A total of 838 participants (45.9% men and 54.1% women) responded to instruments addressing family of origin violence, emotion regulation strategies, and intimate partner violence. The results revealed that both structural models were significant. For women, the model showed an adequate fit X2 (11, N = 838) = 22.75, p = .288, GFI = .95, AGFI = .91, NFI = .98, CFI = .97, RMSEA = .05. Likewise, we found similar indexes for men X2 (11, N = 838) = 28.20, p = .348, GFI = .97, AGFI = .93, NFI = .97, CFI = .95, RMSEA = .04. Specifically, the direct effects of adaptive strategies on intimate partner violence were statistically significant. Meanwhile, the direct effects of family of origin violence on maladaptive emotion regulation strategies were significant, as were the direct effects of maladaptive strategies on intimate partner violence. In turn, the indirect effects of family of-origin violence were significantly related to intimate partner violence via maladaptive emotion regulation strategies. In addition, the results clearly showed that men reported higher levels of aggression against women. Finally, regarding the selection of emotion regulation strategies, while women employed more adaptive emotion regulation, men showed a more definite tendency to use maladaptive emotion regulation.Entities:
Keywords: Emotion regulation strategies; Family of origin violence; Intimate partner violence; Mediating effect; Structural equation modeling
Year: 2021 PMID: 34324085 PMCID: PMC8319696 DOI: 10.1186/s41155-021-00187-8
Source DB: PubMed Journal: Psicol Reflex Crit ISSN: 0102-7972
Fig. 1Hypothesized measurement model
Means and standard deviations of study variables by sex
| Variable | Women | Men | ||
|---|---|---|---|---|
| M | SD | M | SD | |
| Adaptive emotion regulation strategies | ||||
| Acceptance | 7.30 | 3.83 | 7.79 | 3.30 |
| Reappraisal | 13.72 | 3.23 | 13.59 | 3.38 |
| Refocus on planning | 8.47 | 4.18 | 8.53 | 3.53 |
| Mindfulness | 103.54 | 25.52 | 89.28 | 22.58 |
| Maladaptive emotion regulation strategies | ||||
| Rumination | 12.24 | 5.92 | 10.31 | 5.14 |
| Difficulties controlling impulsive behaviors | 15.22 | 4.82 | 15.33 | 5.72 |
| Limited access to regulation strategies | 15.83 | 5.44 | 20.13 | 6.24 |
| Inability to engage in goal-directed behaviors | 9.12 | 3.52 | 12.53 | 3.74 |
| Family of origin violence | ||||
| Physical violence | 52.78 | 16.41 | 59.13 | 14.73 |
| Psychological violence | 48.28 | 14.62 | 43.27 | 14.20 |
| Sexual violence | 21.48 | 9.37 | 25.58 | 12.49 |
| Intimate partner violence | ||||
| Physical violence | 6.07 | 2.56 | 9.92 | 3.01 |
| Severe physical violence | 10.63 | 3.51 | 16.36 | 4.17 |
| Psychological violence | 15.53 | 4.26 | 15.38 | 4.40 |
| Sexual violence | 2.12 | 1.61 | 5.27 | 3.25 |
Correlations of study variables for women and men
| Variables | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1.FOV | – | − .13** | − .07 | − .25** | − .04 | .14** | .10** | .09** | .06 | .18** |
| 2.Acceptance | − .10** | – | .42** | .38** | .53** | − .38** | − .34** | − .48** | − .35** | − .17** |
| 3.Reappraisal | − .14** | .27** | – | .52** | .59** | − .42** | − .45** | − .50** | − .28** | − .15** |
| 4.Refocus | − .18** | .22** | .34** | – | .55** | − .40** | − .51** | − .53** | − .34** | − .23** |
| 5.Mindfulness | − .13** | .51** | .42** | .58** | – | − .25** | − .55** | − .48** | − .26** | − .19** |
| 6.Rumination | .07 | − .49** | − .55** | − .34** | − .48** | – | .49** | .52** | .38** | .31** |
| 7.Difficulties | .27** | − .25** | − .40** | − .45** | − .53** | .35** | – | .56** | .41** | .13** |
| 8.Limited access | .19** | − .62** | − .38** | − .52** | − .62** | .53** | .59** | – | .37** | .07* |
| 9.Inability | .18* | − .18* | − .44** | − .47** | − .50** | .32** | .31** | .28** | – | .04 |
| 10.Intimate partner violence | .21** | − .15** | − .19** | − .18** | − .21** | .17** | .26** | .29** | .08 | – |
Correlations for women are showed on the top of the diagonal and correlations for men are displayed on the bottom half
FOV family of origin violence
*p < 0.05; **p < 0.01
Fig. 2Final structural model for women. Mediating effects of emotion regulation strategies on the relation between family of origin violence and intimate partner violence. Values on paths correspond to the standardized regression coefficients. Standard errors are presented in parenthesis. The maladaptive emotion regulation strategies were a significant mediator. *** p < .001
Fig. 3Final structural model for men. Mediating effects of emotion regulation strategies on the relation between family of origin violence and intimate partner violence. Values on paths correspond to the standardized regression coefficients. Standard errors are presented in parenthesis. The maladaptive emotion regulation strategies were a significant mediator. ***p < .001