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doi:10.1002/acp.v25.5

Cited by 8 publications

(3 citation statements)

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“…In support of this statement, researchers have found that the more life-threatening or life-changing the event was, the more growth occurred (Cole, 2008; Kleim & Ehlers, 2009). This finding suggests a potential paradox; that is, the more central to or encompassed by the event one is, the more motivation or room there is to grow (Barton, Boals, & Knowels, 2013; Boals & Schuettler, 2011). Contrary to this is Grubaugh and Resick’s (2007) conclusion that PTG is not related to psychological distress at all.…”

Section: Resultsmentioning

confidence: 99%

“…In other words, it could be that too little distress might not be enough motivation for an individual to experience positive growth, and too much distress will result in overwhelmingly negative mental health symptoms and negate the ability to experience growth. There have only been a few studies to investigate this relationship, very few of which included sexual assault (Barton et al, 2013; Boals & Schuettler, 2011; Kleim & Ehlers, 2009; Shakespeare-Finch & Armstrong, 2010). Although some past research suggests a positive relationship between the severity of sexual assault and positive adjustment, other findings suggest a curvilinear relationship; that is, growth can only occur if there is significant distress from the sexual assault, but if the sexual assault becomes too severe, the likelihood of growth decreases.…”

Section: Resultsmentioning

confidence: 99%

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Posttraumatic Growth and Sexual Violence: A Literature Review

Ulloa

Guzman

Salazar

et al. 2016

Journal of Aggression, Maltreatment & Trauma

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Posttraumatic growth (PTG) is the positive psychological growth that a person might experience after enduring a traumatic event. PTG is a relatively new area of research identified by researchers because it represents a shift in thinking. Rather than focusing on the negative consequences of trauma, it explores the potential for positive outcomes associated with trauma. Although PTG is well documented across different types of traumas, it is unclear how this kind of growth stems from sexual violence, specifically. This review provides an overview of the literature concerning PTG that is associated with sexual violence. Results across the literature indicate that sexual violence is consistently associated with PTG. However, given the inconsistency in research designs, assessment, and operational definitions used to study PTG, many researchers suggest that it might be difficult to determine how and when PTG occurs. This study provides a literature review of the research on PTG in the aftermath of sexual violence. Important implications for future directions and trauma-based therapy are discussed and include the identification of relevant predictors, the importance of context, and how service providers might benefit from a better understanding of PTG.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Posttraumatic Growth and Sexual Violence: A Literature Review

Ulloa

Guzman

Salazar

et al. 2016

Journal of Aggression, Maltreatment & Trauma

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“…Derivation of the HR from fNIRS signal gives an opportunity to use the HR measurement as a heart response besides or in combination with the fNIRS signal which modulates the brain activity by means of only one portable device. In addition to the stress assessment, the EHR and fNIRS measurements can be employed for applications in which both the brain and heart are affected, including detection of the mental workload, 53 BCI, 54 biofeedback, 55,56 and diagnosis of some diseases, 57 especially in children and infants because of eliminating the need for additional HR sensors. 58,59 5 Conclusion fNIRS and ECG were recorded simultaneously in order to assess the mental stress induced by the MIST.…”

Section: Results Of Stress Classificationmentioning

confidence: 99%

Stress assessment by means of heart rate derived from functional near-infrared spectroscopy

Hakimi

Setarehdan

2018

J. Biomed. Opt.

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Many studies have been carried out in order to detect and quantify the level of mental stress by means of different physiological signals. From the physiological point of view, stress promptly affects brain and cardiac function; therefore, stress can be assessed by analyzing the brain-and heart-related signals more efficiently. Signals produced by functional near-infrared spectroscopy (fNIRS) of the brain together with the heart rate (HR) are employed to assess the stress induced by the Montreal Imaging Stress Task. Two different versions of the HR are used in this study. The first one is the commonly used HR derived from the electrocardiogram (ECG) and is considered as the reference HR (RHR). The other is the HR computed from the fNIRS signal (EHR) by means of an effective combinational algorithm. fNIRS and ECG signals were simultaneously recorded from 10 volunteers, and EHR and RHR are derived from them, respectively. Our results showed a high degree of agreement [r > 0.9, BAR (Bland Altman ratio) <5%] between the two HR. A principal component analysis/support vector machine-based algorithm for stress classification is developed and applied to the three measurements of fNIRS, EHR, and RHR and a classification accuracy of 78.8%, 94.6%, and 62.2% were obtained for the three measurements, respectively. From these observations, it can be concluded that the EHR carries more useful information with regards to the mental stress than the RHR and fNIRS signals. Therefore, EHR can be used alone or in combination with the fNIRS signal for a more accurate and realtime stress detection and classification.

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