Gender Differences in Negative Mood, Emotional Intelligence and Tobacco Use among Young Adults

Torres, Oscar V.; Estep, Justin; Gwin, Mary; Villalta, Ian K.

doi:10.1080/10826084.2020.1775649

Cited by 6 publications

(3 citation statements)

References 62 publications

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“…No significant gender differences were found for any of the variables. Earlier studies have reported varying results regarding the difference in EI in males and females, ranging from women having relatively higher EI than men [ 89 ], among creative professionals men having higher EI than women [ 89 ], and among nursing students women reportedly having higher EI than men [ 90 ]. Research has shown that low EI males have lower parasympathetic and higher sympathetic activity at rest and are thus more prone to developing hypertension [ 91 ].…”

Section: Discussionmentioning

confidence: 99%

Multimodal prediction of trait emotional intelligence–Through affective changes measured using non-contact based physiological measures

2021

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Inability to efficiently deal with emotionally laden situations, often leads to poor interpersonal interactions. This adversely affects the individual’s psychological functioning. A higher trait emotional intelligence (EI) is not only associated with psychological wellbeing, educational attainment, and job-related success, but also with willingness to seek professional and non-professional help for personal-emotional problems, depression and suicidal ideation. Thus, it is important to identify low (EI) individuals who are more prone to mental health problems than their high EI counterparts, and give them the appropriate EI training, which will aid in preventing the onset of various mood related disorders. Since people may be unaware of their level of EI/emotional skills or may tend to fake responses in self-report questionnaires in high stake situations, a system that assesses EI using physiological measures can prove affective. We present a multimodal method for detecting the level of trait Emotional intelligence using non-contact based autonomic sensors. To our knowledge, this is the first work to predict emotional intelligence level from physiological/autonomic (cardiac and respiratory) response patterns to emotions. Trait EI of 50 users was measured using Schutte Self Report Emotional Intelligence Test (SSEIT) along with their cardiovascular and respiratory data, which was recorded using FMCW radar sensor both at baseline and while viewing affective movie clips. We first examine relationships between users’ Trait EI scores and autonomic response and reactivity to the clips. Our analysis suggests a significant relationship between EI and autonomic response and reactivity. We finally attempt binary EI level detection using linear SVM. We also attempt to classify each sub factor of EI, namely–perception of emotion, managing own emotions, managing other’s emotions, and utilization of emotions. The proposed method achieves an EI classification accuracy of 84%, while accuracies ranging from 58 to 76% is achieved for recognition of the sub factors. This is the first step towards identifying EI of an individual purely through physiological responses. Limitation and future directions are discussed.

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Section: Discussionmentioning

confidence: 99%

Multimodal prediction of trait emotional intelligence–Through affective changes measured using non-contact based physiological measures

2021

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“…Existen diferentes tipos de intervenciones para abordar el consumo de drogas en poblaciones con características diferentes (Iglesias & Serrano, 2020;Pinzón & Calvo, 2021), los resultados de estas intervenciones son variados, sin embargo, un denominador común en estas poblaciones es la presencia de emociones negativas, por eso se planeó estudiar una intervención basada en IE. Investigaciones sobre IE y consumo de drogas legales e ilegales, han concluido que el potenciar el desarrollo de habilidades emocionales en personas adictas, evita que recurran al consumo de drogas para regular estados emocionales negativos (Zela et al, 2019;Torres et al, 2020;Kelly et al, 2021). El trabajar procesos de IE es importante en cualquier individuo, sin embargo, es aún más significativo en el caso de las personas que viven con problemas de adicción a cualquier tipo de sustancia, ya que estas ocasionan alteraciones a nivel fisiológico en el sistema nervioso central, provocando modificaciones emocionales, de pensamientos y de percepción de la realidad (Cedillo-Zavaleta et al, 2018).…”

Section: Introductionunclassified

Inteligencia emocional como herramienta psicoeducativa preventiva para usuarios de centros de tratamiento de adicciones

Blázquez-Morales

Islas-Martínez

Gogeascoechea-Trejo

et al. 2022

KASP

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La Inteligencia Emocional, incluye habilidades para percibir, expresar, comprender y regular emociones promoviendo crecimiento emocional. En usuarios de centros de tratamiento de adicciones, es fundamental manejar adecuadamente las emociones para evitar recurrir al consumo de drogas con la intención de regular estados emocionales negativos. El objetivo del presente trabajo fue evaluar los resultados de una intervención terapéutica psicoeducativa para fortalecer la Inteligencia Emocional en los tres indicadores: atención emocional, claridad y reparación emocionales, en usuarios de centros de rehabilitación para el consumo de drogas. Se realizó un estudio cuasi experimental en dos centros de tratamiento con un grupo experimental y control, en el experimental se empleó la intervención, en ambos grupos se aplicó antes y después de la intervención el instrumento TMMS-24. La muestra fue no probabilística a conveniencia, en el grupo experimental participaron 26 usuarios y en el grupo control 19. Se realizaron análisis estadísticos descriptivos e inferencial, mediante la prueba t de student (p=˂.05). Los resultados en el grupo experimental, los hombres presentaron diferencias estadísticamente significativas entre el pre y el post-tratamiento en claridad emocional (p= 0.007); las mujeres mostraron diferencias estadísticamente significativas en claridad emocional (p= 0.006) y reparación emocional (p= 0.007), el grupo control no presentó cambios. La intervención modificó algunos indicadores permitiendo al interno, mejor adaptación a su entorno personal al aprender a identificar y expresar emociones, así como a reconocer y aceptar los propios sentimientos.

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“…The field of EI and EC at the trait level has applications in the areas of clinical, health, social, educational, organizational, and developmental psychology (Petrides et al, 2016;Sarrionandia & Mikolajczak, 2020). Specifically regarding addiction, higher EI was found to be a protective factor against smoking (Kun & Demetrovics, 2010;Torres et al, 2020), alcohol use, and illicit drug use (Kun & Demetrovics, 2010). Furthermore, technological addictions are of recent interest (Gugliandolo et al, 2019), and EI has been found to be a protective factor against problematic internet behaviour (Arrivillaga et al, 2020;Hsieh et al, 2018;Sechi et al, 2020;Wang & Zhang, 2020), and smartphone use (Arrivillaga et al, 2020;Busch & McCarthy, 2021;Mascia et al, 2020).…”

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confidence: 99%

Convergent Validity Analysis between the Profile of Emotional Competences Full-Form and the Trait Emotional Intelligence Questionnaire Full-Form

Laborde

Guillén

Vaughan

2021

Int J Ment Health Addiction

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Emotional dispositions have been found to influence outcomes and have applications in many areas, such as in the clinical, health, social, educational, and organizational domains. Specifically, they may influence individuals’ addictive behaviour tendencies. The aim of this study was to investigate the convergent validity between two questionnaires measuring individual differences linked to emotional dispositions, the Profile of Emotional Competences (PEC) full-form, and the Trait Emotional Intelligence Questionnaire (TEIQue) full-form. Examining the convergent validity will identify the similarities and the unique aspects of each questionnaire. Our hypotheses were based on relationships displaying large effect sizes (r > .50). A sample of 1026 participants took part in this study (Mage = 21.35 years old, age range = 18–30). Participants completed both the PEC and the TEIQue in a counterbalanced order. Results indicated large overlaps between the two questionnaires; however, two main differences emerged: first, the PEC allows capturing precisely the emotional dispositions at the intrapersonal and interpersonal levels, while the TEIQue mixes both levels; second, the competence “using emotions”, both for one’s own emotions and for others’ emotions, is not comprehensively reflected in the TEIQue. Overall, the PEC may help to capture more specifically the distinction between intrapersonal and interpersonal emotional competences. Future research should investigate comparatively the criterion validity of both questionnaires with specific outcome variables. Future research and applied work with addiction aiming at clarifying the implication of both intrapersonal and interpersonal emotional competences may consider to rather use the PEC than the TEIQue.

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Gender Differences in Negative Mood, Emotional Intelligence and Tobacco Use among Young Adults

Cited by 6 publications

References 62 publications

Multimodal prediction of trait emotional intelligence–Through affective changes measured using non-contact based physiological measures

Multimodal prediction of trait emotional intelligence–Through affective changes measured using non-contact based physiological measures

Inteligencia emocional como herramienta psicoeducativa preventiva para usuarios de centros de tratamiento de adicciones

Convergent Validity Analysis between the Profile of Emotional Competences Full-Form and the Trait Emotional Intelligence Questionnaire Full-Form

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