| Literature DB >> 35886187 |
Heng Xu1, Jun Zeng1, Zheng Cao2, Huihui Hao3.
Abstract
During the COVID-19 pandemic, lockdowns and isolation have limited the availability of face-to-face support services for victims of intimate partner violence (IPV). Despite the growing need for online help in supporting IPV victims, far less is known about the underlying mechanisms between IPV and online help-seeking. We studied the mediating role of emotion dysregulation (ED) and the moderating role of perceived anonymity (PA) on the internet to explain IPV victims' willingness of online help-seeking (WOHS). Through a PROCESS analysis of the questionnaire data (n = 510, 318 female, 192 male, Mage = 22.41 years), the results demonstrate that: (1) ED has been linked with the experience of IPV, and IPV significantly induces ED. (2) When IPV victims realize the symptoms of ED, they have a strong willingness to seek external intervention to support themselves. ED mediates the relationship between IPV and online help-seeking. (3) For youth growing up in the era of social networking sites (SNS), personal privacy protection is an important factor when seeking online help. The anonymity of the internet has a positive effect on victims who experience IPV and ED, and it increases WOHS. This study introduces a new perspective on the psychological mechanism behind IPV victims' help-seeking behaviors, and it suggests that the improvement of anonymity in online support can be an effective strategy for assisting IPV victims.Entities:
Keywords: emotion dysregulation; intimate partner violence; perceived anonymity; social networking site; willingness of online help-seeking
Mesh:
Year: 2022 PMID: 35886187 PMCID: PMC9319494 DOI: 10.3390/ijerph19148330
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Summary of the related literature.
| Author (Year) | Objective/Context | Methodology | Results/Findings |
|---|---|---|---|
| Tarzia et al. (2018) [ | The gap between online support and face-to-face support for women who had experienced IPV | RCTs | Many key elements of face-to-face support for IPV, such as awareness-raising and lessening isolation, can be provided well via the Internet, which can offer additional advantages in some areas, such as increased anonymity, privacy, and flexibility of access, and provide safety mechanisms. |
| Roddy et al. (2018) [ | Associations and implications for self-help and online interventions | Hierarchical linear modeling | Web-based interventions may be an effective (and easily accessible) intervention for relationship distress for couples with low-intensity IPV. |
| Chu et al. (2021) [ | Examine the nature and content of messages presented in a Chinese online community about IPV | Quantitative content analysis and automatic content analysis | Most of the messages provided informational support in terms of personal experience, explanations, and strategies for coping with IPV, as well as emotional support regarding wishes, encouragement, and empathy for the victims. |
| Audet et al. (2022) [ | Examine whether psychological distress symptoms are indirectly related to the perpetration of IPV through affect dysregulation | Questionnaire survey | Symptoms of anxiety were directly related to lower physical assault perpetration and indirectly related to higher physical assault and coercive control perpetration through higher affect dysregulation. |
| Muñoz-Rivas et al. (2021) [ | Determine the variability of ED among women with different types of IPV revictimization and post-traumatic stress | Questionnaire survey and cluster analysis | The Emotional Overwhelm group was characterized by a general dysregulation of emotional experiences and a greater intensity of post-traumatic stress symptoms. ED is a critical pathway to the decrease of health among IPV victims. |
| Fryc et al. (2022) [ | The potential influence of presumed head and neck injuries from IPV on ED | Questionnaire survey | There is an association between presumed head and neck injuries from IPV and ED, underscoring the potential need for considering both neurological and psychological factors in the assessment and treatment of ED in this population. |
| Schwank et al. (2020) [ | Assess Shanghai women’s care-seeking behavior for mental health disorders | Questionnaire survey | A total of 82.2 percent seek online support. Shanghai women avoid seeking professional help for mental health issues. Friends, spouses, and online resources are the preferred venues. |
Figure 1The proposed moderated-mediation model of the relationship between IPV and online help-seeking.
Distribution, normality estimates, and correlation matrix for all variables.
| Variables | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| 1. IPV | 1 | - | - | - |
| 2. ED | 0.503 ** | 1 | - | - |
| 3. WOHS | 0.450 ** | 0.318 ** | 1 | - |
| 4. PA | 0.586 ** | 0.296 ** | 0.385 ** | 1 |
| Mean (SD) | 0.95 (1.21) | 2.37 (1.06) | 3.12 (1.37) | 3.37 (0.88) |
| Skewness | 1.06 | 0.33 | −0.08 | 0.07 |
| Kurtosis | −0.38 | −0.79 | −1.38 | −0.68 |
Notes: ** p < 0.01; SD: standard deviation.
Figure 2The coefficient estimates and statistical significance of the moderated-mediation model.
Ordinary least squares regression results for moderated effect.
| Outcome | Predictors | Path | β | SE |
| LLCI | ULCI |
|---|---|---|---|---|---|---|---|
| ED | IPV | a | 0.436 | 0.037 | <0.001 | 0.352 | 0.499 |
| R2 = 0.26, F = 35.05, | |||||||
| WOHS | IPV | c’ | 0.301 | 0.067 | <0.001 | 0.170 | 0.431 |
| ED | b1 | 0.226 | 0.061 | <0.001 | 0.106 | 0.346 | |
| PA | b2 | 0.297 | 0.074 | <0.001 | 0.151 | 0.442 | |
| ED × PA | b3 | 0.198 | 0.065 | <0.01 | 0.069 | 0.326 | |
| R2 = 0.27, F = 22.73, |
Notes: LLCI: lower limit of 95% confidence interval; ULCI: upper limit of 95% confidence interval; β: regression coefficient; SE: standard error.
Figure 3The moderating influence of PA on the association between ED and WOHS.
Moderated effect divided into three levels of perceived anonymity.
| Perceived Anonymity | Indirect Effect | Bootstrap SE | 95% of CI 1 |
|---|---|---|---|
| Mean − SD | 0.0222 | 0.0386 | (−0.0595, 0.0951) |
| Mean | 0.0962 | 0.0347 | (0.0277, 0.1644) |
| Mean + SD | 0.1701 | 0.0532 | (0.0709, 0.2785) |
Notes: 1—percentile bootstrap confidence interval.