Development of the short version of the Spielberger State—Trait Anxiety Inventory

Zsidó, András N.; Teleki, Szidalisz; Csókási, Krisztina; Rózsa, Sándor; Bandi, Szabolcs

doi:10.31234/osf.io/nuvry

Cited by 6 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Participants had only to wear a Fitbit Sense on their left or right wrist for as long as they could tolerate it between the day of consent and their next visit to the hospital (for outpatients), or until their first visit to the hospital after discharge (for inpatients). While wearing the Fitbit Sense, participants were contacted via their smartphones to inquire about their current socioenvironmental situation and to ask them to complete the following self-administered questionnaires: the STAI FORM X-I, II (11) (to measure anxiety), the Positive and Negative Affect Schedule (PANAS) (12) (to measure affect), and the EuroQol 5 dimensions 5-level (EQ-5D-5L) (to measure QOL).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Feasibility of a wrist-worn wearable device for estimating mental health status in patients with mental illness

et al. 2023

View full text Add to dashboard Cite

ObjectReal-world data from wearable devices has the potential to understand mental health status in everyday life. We aimed to investigate the feasibility of estimating mental health status using a wrist-worn wearable device (Fitbit Sense) that measures movement using a 3D accelerometer and optical pulse photoplethysmography (PPG).MethodsParticipants were 110 patients with mental illnesses from different diagnostic groups. The study was undertaken between 1 October 2020 and 31 March 2021. Participants wore a Fitbit Sense on their wrist and also completed the State–Trait Anxiety Inventory (STAI), Positive and Negative Affect Schedule (PANAS), and EuroQol 5 dimensions 5-level (EQ-5D-5L) during the study period. To determine heart rate (HR) variability (HRV), we calculated the sdnn (standard deviation of the normal-to-normal interval), coefficient of variation of R-R intervals, and mean HR separately for each sleep stage and the daytime. The association between mental health status and HR and HRV was analyzed.ResultsThe following significant correlations were found in the wake after sleep onset stage within 3 days of mental health status assessment: sdnn, HR and STAI scores, HR and PANAS scores, HR and EQ-5D-5L scores. The association between mental health status and HR and HRV was stronger the closer the temporal distance between mental health status assessment and HR measurement.ConclusionA wrist-worn wearable device that measures PPG signals was feasible for use with patients with mental illness. Resting state HR and HRV could be used as an objective assessment of mental health status within a few days of measurement.

show abstract

Section: Methodsmentioning

confidence: 99%

“…The STAI Form X-I and Form X-II were developed by Spielberger et al (15); they have been translated into Japanese and validated using 618 college students (11). The STAI Form X-I is used to assess anxiety as a situation-related state, and the STAI Form X-II assesses anxiety as a relatively stable personality trait.…”

Section: Mental Health Status Assessmentmentioning

confidence: 99%

Feasibility of a wrist-worn wearable device for estimating mental health status in patients with mental illness

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The 12-item short version of the IUS was used to measure IU and the inhibitory and prospective IU subscales (Carleton et al, 2007). The 5-item short version of the State-Trait Anxiety Inventory (STAI-T) was used to measure trait anxiety (Zsido et al, 2020). A 5-point and 4-point Likert scale was used for each question in the IUS and STAI-T questionnaire, respectively.…”

Section: Questionnairesmentioning

confidence: 99%

Attentional bias to uncertainty-based information: A conceptual replication of Fergus et al. (2013)

Morriss¹,

Lee²,

Wood³

et al. 2023

Preprint

View full text Add to dashboard Cite

Background and Objectives: Attentional biases to negative information are often observed in emotional disorders such as anxiety and depression. Recently, Fergus et al. (2013) demonstrated that participants scoring high in Intolerance of Uncertainty (IU), a transdiagnostic risk factor for emotional disorders, were faster at identifying targets with uncertainty-based information (e.g., word stimuli such as ‘maybe’). The current report aimed to replicate the results of Fergus et al. (2013). Methods: The experiment was conducted with a student sample (n = 126). As in the original study, a visual search task with uncertainty-based information (e.g., word stimuli) was used. Reaction times were collected. IU and trait anxiety was measured via self-report. Results: We failed to replicate the results of Fergus et al. (2013). Although IU was associated with faster identification of uncertainty-based information, the effect was not significant. Instead, we observed that higher trait anxiety was significantly associated with faster identification of uncertainty-based information. However, this effect of trait anxiety was not specific over and above IU. Limitations: The experiment was conducted on a student sample, similar to Fergus et al. (2013), limiting the generalisability of the results.Conclusions: Despite the lack of specificity of trait anxiety or IU in predicting attentional bias to uncertainty-based information, these findings highlight the potential utility of targeting attentional biases to uncertainty-based information in emotional disorders.

show abstract

“…Perceived scarcity construct was based on five measures and adapted from Byun & Sternquist (2011). Anxiety construct measure was based on five items from Zsido et al (2020). Lastly, the three measurement items for the panic buying behavior construct were adapted from Van et al (2010).…”

Section: Measurement Instrumentmentioning

confidence: 99%

Factors Influencing Panic Buying Behavior among Consumers in Lebanon during the COVID-19 Pandemic

Al-Homssi

Ali

2022

التجارة والتمويل

View full text Add to dashboard Cite

This study analyzes consumer panic buying behavior applied in the grocery sector. Furthermore, it examines the effect of perceived severity, perceived scarcity, and fear of COVID-19, anxiety on consumer panic buying behavior. Moreover, this study also investigates anxiety as a mediator to understand these relationships.Likewise, the researchers conducted an administered structured questionnaire-with a convenience sample of 391 respondents of grocery sector consumers. The researchers adopted structural equation modeling (SEM) to analyze the proposed scale validity and the relationships between the present research variables.The findings of this study revealed that perceived severity, perceived scarcity, fear of COVID-19 and anxiety have a positive effect on panic buying behavior. In addition, the results indicate that anxiety mediate the relation between these variables and the behavior of panic buying.The current study is established on stimulus-organism-responseframework, expectation theory and reactance theory. In this context, this study provides empirical support to validate the above mentioned theories.Moreover, this study enhances marketing literature to understand consumers' behaviors under under unusual and emergent situations. This research supports both policymakers and managers in the grocery sector. First, policymakers can better understand and analyze consumer buying behavior under emergent crises like the COVID-19 pandemic.However, this understanding will improve their proficiency to alleviate the negative aspects of the pandemic periods. Second, grocery managers could better understand consumer panic behavior, guiding them to fulfill consumer needs and efficiently attain their marketing objectives.

show abstract

Development of the short version of the Spielberger State—Trait Anxiety Inventory

Cited by 6 publications

References 0 publications

Feasibility of a wrist-worn wearable device for estimating mental health status in patients with mental illness

Feasibility of a wrist-worn wearable device for estimating mental health status in patients with mental illness

Attentional bias to uncertainty-based information: A conceptual replication of Fergus et al. (2013)

Factors Influencing Panic Buying Behavior among Consumers in Lebanon during the COVID-19 Pandemic

Contact Info

Product

Resources

About