Publications by authors named "Saeideh Heshmati"

Unlabelled: PERMA is a multidimensional framework that explains well-being through five hedonic and eudaimonic psychological elements-Positive emotions, Engagement, Relationships, Meaning, Accomplishment. Soon after the PERMA framework was proposed, PERMA-Profiler was introduced as a validated assessment tool for measuring these five elements of well-being from a global perspective. The current study aimed to shed further light onto the measurement of PERMA elements, extending it beyond global evaluations, to daily life assessments and the examination of individual differences in their dynamic characteristics.

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The focus on the negative side of technology has become a prominent factor in the understanding of the interactions between humans and technology. However, there is a positive side to technology use that has been less investigated in scientific research. Well-being researchers have determined that it is not just the absence of negative emotions or experiences, but rather the presence and frequency of positive ones that matter most.

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Despite the growing deployment of network representation to comprehend psychological phenomena, the question of whether and how networks can effectively describe the effects of psychological interventions remains elusive. Network control theory, the engineering study of networked interventions, has recently emerged as a viable methodology to characterize and guide interventions. However, there is a scarcity of empirical studies testing the extent to which it can be useful within a psychological context.

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Purpose Of Review: Effective treatment of anxiety-related disorders is crucial, considering the prevalence of such disorders and their association with poor psychosocial functioning. To evaluate the most recent evidence on the efficacy of cognitive behavioral therapy (CBT) for anxiety-related disorders in adults, we conducted a meta-analysis of randomized placebo-controlled trials published since 2017.

Recent Findings: Ten studies with a total of 1250 participants met the inclusion criteria.

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The datasets include relevant psychological and demographic variables relating to people's relationships, perceptions, and reactions to the Covid-19 pandemic. Participants were recruited from the United States ( = 396), China ( = 156), and Iran ( = 248). Participants were directed to an online survey that assessed their psychological well-being, affective states, factors related to life satisfaction, and their experiences with the Covid-19 pandemic.

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Introduction: Emotional eating is a mental health concern, common in adolescents, that develops as a result of their tendency to use high-energy food to regulate their fluctuating emotions. Due to their highly fluctuating emotional life, adolescents tend to have unique within-person profiles of emotional experiences that change across moments and days, often lost in global assessments of emotions. Hence, it is imperative to examine individual differences in dynamics of emotions, as experienced in daily life, in relation to emotional eating in adolescents.

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In family contexts, individuals are embedded in networks of relationships. Social network analysis provides a unique framework to investigate family relationships as interrelated networks above and beyond dyadic familial relationships. In the current paper, we used the notion of triadic closure to investigate how various configurations of family networks, classified by their relationship ties, differ in predicting adolescents' experiences of loneliness.

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Article Synopsis
  • This study looked at how people's facial expressions during a breakup can tell us about their feelings, instead of just asking them how they feel.
  • The researchers checked what emotions were shown on people's faces after a breakup by using special computer tools while they talked about their experience.
  • They found that the emotion called Contempt was important; at first, feeling Contempt helped people feel less sad, but later on, it made them feel more sad about the breakup.
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