Neuroses, Anxiety
These disorders can significantly impact an individual's quality of life, making it difficult to perform daily tasks and maintain healthy relationships.
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By comparing data across literature, preprints, and patents, the AI-driven system empowers users to locate the best protocols and products, revolutionizing research reproducibility and accuracy.
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Most cited protocols related to «Neuroses, Anxiety»
The Beck Depression Inventory (BDI) was used to measure depression. It is designed to examine both somatic and cognitive aspects of depression. The BDI is a 21-item self-reporting scale that has been used, apart from its original purpose (assessment of the severity of known depression), for screening purposes. The Greek version has been translated and validated previously [20 ] and has been widely used to date.
The State-Trait Anxiety Inventory (STAI)[21 ] developed by Spielberger is used to measure anxiety. It is a 40-item scale made up of two 20-item subscales (one state and one trait), and has been widely used to asses anxiety not only in clinical but in non-clinical samples. The STAI (Form X) has been translated and validated in Greek [22 ]. The BDI and STAI were administered to patients only.
All of the scales used are self-rated and were administered by five of the researchers. The aim was that the examiners would interfere as little as possible in the patient's completion of the scales. For homogeneity of the results, the scoring of the scales was performed by only one of the researchers.
The CES-D comprises 20 items, and employs four-point Likert scales, ranging from “rarely or none of the time” (0 point) to “most or all of the times” (3 points). The total score ranges from 0 to 60, in which a higher score indicates more severe depressive symptoms [7 (link)]. Generally, a total CES-D score of 16 or greater can be considered indicative of depression [17 ]. But the validity and psychometric properties of several items (e.g., Items 7, 15,17, 19 ) on the CES-D have been questioned by the researchers [18 (link)].
The Trait Anxiety Inventory (TAI) of the State-Trait Anxiety Inventory (STAI) (Spielberger, 1983) consists of 20 statements and is usually used to evaluate respondents’ general tendency to perceive situations as threatening [19 ]. The total score on the TAI ranges from 20 to 80 [20 (link)]. In the present study, the Cronbach’s alpha values for the TAI in suicide attempters and comparison residents were 0.903 and 0.852, respectively.
The Beck Hopelessness Scale (BHS) [21 ,22 (link)] is a 20-item tool designed to measure three major aspects of hopelessness: feelings about the future, loss of motivation, and expectations. The BHS is a 5-point Likert scale, with answers from 1 (complete match) to 5 (in complete opposition), and a total score between 20 and 100. The Cronbach’s alpha values for the BHS were 0.954 and 0.883, respectively, for suicide attempters and comparison residents in this study.
Most recents protocols related to «Neuroses, Anxiety»
Obsessive–compulsive symptoms were assessed in the patient group using the Yale-Brown Obsessive Compulsive Scale (Y-BOCS) checklist and Y-BOCS severity scale [21 ], whereas healthy subjects completed the Mini-PLUS Interview [22 ] and the Maudsley Obsessional Compulsive Inventory (MOCI) [23 (link)]. All other questionnaires listed, including the Metacognition Questionnaire (MCQ-30) and the Post-Traumatic Embitterment Disorder (PTED) self-rating scale, were used with all the study participants.
Schematic representation of the procedure. MSSQ = Motion Sickness Susceptibility Questionnaire, ITQ = Immersive Tendencies Questionnaire, GPTS-B = Green et al. Paranoid Thoughts Scale—part B, FNE = Fear of negative evaluation, CES-D = Center for Epidemiologic Studies—Depression, STAI-Y A = State scale of the State-Trait Anxiety Inventory, SSQ = Simulator Sickness Questionnaire. S-FNE = State Fear of Negative Evaluation, ATQ = Automatic Thoughts Questionnaire
Demographic data and descriptive statistics of trait measures
N (%) | Mean (SD) | Median (IQR) | Min–Max | |
---|---|---|---|---|
Age | 30.50 (11.50) | 18–50 | ||
Education | ||||
(1) Primary | 0 (0.0%) | |||
(2) Lower secondary | 5 (3.2%) | |||
(3) Apprenticeship | 5 (3.2%) | |||
(4) Special-needs education | 3 (1.9%) | |||
(5) Upper secondary | 21 (13.3%) | |||
(6–9) Vocational school | 23 (14.6%) | |||
(10) Bachelor | 67 (42.4%) | |||
(11) Master | 34 (21.5%) | |||
(12) Doctorate | 0 (0.0%) | |||
Gender (M/F) | 60/98 | |||
Familiarity with technologies | ||||
Smartphone | ||||
No use | 8 (5.1%) | |||
Rarely | 0 (0.0%) | |||
Occasionally | 5 (3.2%) | |||
Often | 9 (5.7%) | |||
Very often | 136 (86.1%) | |||
Computer | ||||
No use | 16 (10.1%) | |||
Rarely | 6 (3.8%) | |||
Occasionally | 14 (8.9%) | |||
Often | 25 (15.8%) | |||
Very often | 97 (61.4%) | |||
Videos games | ||||
No use | 75 (47.5%) | |||
Rarely | 26 (16.5%) | |||
Occasionally | 21 (13.3%) | |||
Often | 18 (11.4%) | |||
Very often | 18 (11.4%) | |||
Virtual reality | ||||
No use | 100 (63.3%) | |||
Occasionally | 57 (36.1%) | |||
Regularly | 1 (0.6%) | |||
Familiarity with Virtual reality | 2.62 (1.84) | 1–7 | ||
Immersive tendencies (ITQ) | ||||
Focus | 23.10 (4.34) | 10–34 | ||
Involvement | 18.10 (5.74) | 5–32 | ||
Emotion | 15.50 (4.47) | 6–26 | ||
Game | 7.85 (3.96) | 3–21 | ||
State anxiety (STAI-Y A) | 28 (11.75) | 20–65 | ||
Trait measures | ||||
Social anxiety (FNE) | 13 (12.75) | 0–29 | ||
Paranoia (GPTS-B) | 19 (14.75) | 16–78 | ||
Depressive symptoms (CES-D) | 13 (13.50) | 0–47 | ||
Consumption N (%) | Non-smokers/non-drinkers | Smokers/drinkers | Former smokers | |
Nicotine | 108 (68.4%) | 31 (19.6%) | 19 (12.0%) | |
Alcohol | 8 (5.1%) | 150 (94.9%) |
ITQ Immersive Tendencies Questionnaire, STAI-Y A State scale of the State-Trait Anxiety Inventory, FNE fear of negative evaluation, GPTS-B Green et al. Paranoid Thoughts Scale—part B, CES-D Center for Epidemiologic Studies—Depression
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More about "Neuroses, Anxiety"
These disorders, also known as neurotic disorders or anxious disorders, can significantly impact an individual's quality of life, making it difficult to perform daily tasks and maintain healthy relationships.
Researchers and clinicians can utilize cutting-edge technologies like PubCompare.ai to identify the most reliable and effective solutions for managing these conditions.
PubCompare.ai is an innovative AI-driven platform that helps users locate the best protocols and products for neuroses and anxiety.
By comparing data across literature, preprints, and patents, the system empowers researchers and clinicians to revolutionize research reproducibility and accuracy.
This powerful tool can be used in conjunction with statistical software like SPSS (version 21, 26, 24, 25, 23) and SAS (version 9.4) to analyze data and inform decision-making.
Overcoming the challenges of neuroses and anxiety disorders, such as generalized anxiety disorder (GAD), social anxiety disorder, and obsessive-compulsive disorder (OCD), can be achieved with the help of PubCompare.ai's cutting-edge technology.
The platform's resources and tools, including presentation software, can assist in understanding the complexities of these mental health conditions and developing effective treatment strategies.
By leveraging the latest advancements in technology and data analysis, researchers and clinicians can better serve individuals struggling with neuroses and anxiety, improving their overall well-being and quality of life.