Neuroticism and extraversion as mediators between positive/negative life events and resilience

Sarubin, Nina; Wolf, Martin; Giegling, Ina; Hilbert, Sven; Naumann, Felix; Gutt, Diana; Jobst, Andrea; Sabaß, L.; Falkai, P.; Rujescu, Dan; Bühner, Markus; Padberg, Frank

doi:10.1016/j.paid.2015.03.028

Cited by 45 publications

(28 citation statements)

References 27 publications

(36 reference statements)

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“…NEO Five Factor Inventory) have obtained similar correlation coefficients (e.g. Olesen, Thomsen, & O'Toole, 2015;Sarubin et al, 2015), the correlation we obtained between these two traits suggests that some of our findings should be considered with caution.…”

Section: Initial Analysessupporting

confidence: 77%

A Network Approach to Affect Regulation Dynamics and Personality Trait–Induced Variations: Extraversion and Neuroticism Moderate Reciprocal Influences between Affect and Affect Regulation Strategies

et al. 2017

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The objectives of the present study were twofold. First, we tested a new approach to affect regulation dynamics, conceptualized as a network made up of the reciprocal influences that affect and affect regulation strategies constantly exert on each other. Second, we attempted to gain a better understanding of these dynamics by examining how they vary according to broad personality traits. To this end, we adopted an experience sampling method, involving five daily assessments over a 2‐week period. In each assessment, participants indicated their current affective experience and the way they had implemented five well‐known affect regulation strategies (i.e. appreciation, positive reappraisal, distraction, expressive suppression, and rumination) since the previous assessment. At the sample level, the network of affect regulation dynamics was characterized by positive feedback loops between positive affect and so‐called broad‐minded strategies, and between negative affect and narrow‐minded strategies. The form of this network varied according to levels of extraversion and neuroticism. Our findings are discussed in light of current knowledge about personality and affect regulation. Copyright © 2017 European Association of Personality Psychology

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Section: Initial Analysessupporting

confidence: 77%

A Network Approach to Affect Regulation Dynamics and Personality Trait–Induced Variations: Extraversion and Neuroticism Moderate Reciprocal Influences between Affect and Affect Regulation Strategies

et al. 2017

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“…However, an exclusive focus on negative affectivity may fail to capture elements of personality associated with personal growth following stressful events (e.g., Fredrickson, 2004). Over longer timespans, changes in neuroticism may result from exposure to life events (Sarubin et al, 2015).…”

Section: Traits For Resiliencementioning

confidence: 99%

Personalidad, estrés y resiliencia

Matthews

Lin

Wohleber

2017

Psihol. teme (Online)

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Personality traits are consistently correlated with various indices of acute psychological stress response, including negative emotions and performance impairment. However, resilience is a complex personal characteristic with multiple neural and psychological roots. This article advocates a multifactorial approach to understanding resilience that recognizes the complexity of the topic both empirically and theoretically. The Trait-Stressor-Outcome (TSO) framework for organizing empirical data recognizes the multiplicity of traits, stressors and outcome metrics that may moderate stress response. Research requires a fine-grained data collection approach that discriminates multiple stress factors. Also, multiple layers of theory are necessary to explain individual differences in stress response, including biases in neural functioning, attentional processing, as well as styles of coping and emotion-regulation. Cognitive science differentiates multiple levels of explanation and allows for the integration of mechanisms at multiple levels of abstraction from the neural substrate. We illustrate the application of the multifactorial approach to collecting interpreting data on operator stress resulting from interaction with technology.

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“…However, despite there being a great number of studies on the psychometric properties of the CD-RISC, there is still a great lack of consensus on the internal structure of the scale, since most studies in the literature reveal different factorial structures. Empirical evidence has supported the onedimensional model (Arias-Gonzalez, Crespo-Sierra, Arias-Martinez, Martinez-Molina & Ponce, 2015;Burns and Anstey, 2010;Campbell-Sills & Stein, 2007;Gucciardi, Jackson, Coulter & Mallett, 2011;Notario-Pacheco et al, 2011;Ponce-Cisternas, 2015;Sarubin et al, 2015), the twodimensional model (Fu, Leoutsakos & Underwood, 2013;Green et al, 2014;Jorgensen & Seedat, 2008;Perera & Ganguly, 2016), the three-dimensional model (Karairmak, 2010;Mealer, Schmiege & Meek 2016;Menezes de Lucena et al, 2006;Serrano-Parra et al, 2012;Xie, Peng, Zuo & Li, 2016;Yu & Zhang, 2007), the four-dimensional model (Crespo et al, 2014;Khoshouei, 2009;Lamond et al, 2008;Singh & Yu, 2010;Solano et al, 2016), the five-dimensional model (Fujikawa et al, 2013;Gillespie, Chaboyer, Wallis & Grimbeek, 2007;Jung et al, 2012;Manzano-García & Ayala-Calvo, 2013) and the second-order model (Yu et al, 2011). According to the above list, one could believe that the CD-RISC presents a different factorial configuration between studies, countries or sample types and therefore it would lead one to further believe that, in each case, one is measuring different constructs.…”

Section: Introductionmentioning

confidence: 97%

Propiedades psicométricas de la Escala de Resiliencia de Connor y Davidson (CD-RISC) en población española.

et al. 2018

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Aunque el número de estudios sobre las propiedades psicométricas de la CD-RISC es notablemente amplio, aún hay gran falta de consenso sobre su estructura interna en población general. Por ello, el objetivo de este estudio ha sido triple, verificar sus propiedades psicométricas, explorar la estructura factorial y calcular baremos de la escala de resiliencia CD-RISC para una muestra de población española. Para ello participaron 1119 personas, 324 hombres y 795 mujeres, cumplimentando las siguientes escalas: CD-RISC, Escala de Estrés Percibido, Escala de Apoyo Social Percibido, Escala de Autoeficacia, Escala de Vulnerabilidad al Estrés, Cuestionario de Personalidad Resistente y subescalas de ansiedad y depresión del SCL-90. Las evidencias de validez confirmaron las relaciones teóricas esperadas correlacionándose con las medidas descritas. El análisis factorial encontró un apoyo razonable a la hipótesis de unidimensionalidad. En cuanto a la fiabilidad se obtuvieron valores aceptables con un alfa de 0.866 y una omega de 0.862. Se obtienen resultados satisfactorios que refuerzan la utilidad y precisión de esta escala para su uso en población española, apoyando la hipótesis de unidimensionalidad y aportando baremos que permiten interpretar las puntuaciones para su aplicación tanto en investigación como en la práctica clínica.

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Neuroticism and extraversion as mediators between positive/negative life events and resilience

Cited by 45 publications

References 27 publications

A Network Approach to Affect Regulation Dynamics and Personality Trait–Induced Variations: Extraversion and Neuroticism Moderate Reciprocal Influences between Affect and Affect Regulation Strategies

A Network Approach to Affect Regulation Dynamics and Personality Trait–Induced Variations: Extraversion and Neuroticism Moderate Reciprocal Influences between Affect and Affect Regulation Strategies

Personalidad, estrés y resiliencia

Propiedades psicométricas de la Escala de Resiliencia de Connor y Davidson (CD-RISC) en población española.

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