Consistency checks to improve measurement with the Hamilton Rating Scale for Anxiety (HAM-A)

Rabinowitz, Jonathan; Williams, Janet B. W.; Hefting, Nanco; Anderson, Ariana; Brown, Brianne; Fu, Dong Jing; Kadriu, Bashkim; Kott, Alan; Mahableshwarkar, Atul R.; Sedway, Jan; Williamson, David J.; Yavorsky, Christian; Schooler, Nina R.

doi:10.1016/j.jad.2023.01.029

Cited by 7 publications

(5 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, specific conditions were imposed on each participant to ensure the accuracy and reliability of the data: (1) all participants had to be right-handed; (2) participants could not have other psychiatric disorders such as epilepsy, neurodegenerative diseases, stroke, or schizophrenia; (3) participants could not have severe physical disorders; (4) participants could not have a history of drug or alcohol abuse; (5) participants could not have any record of brain injury; and (6) participants had to ensure adequate sleep the night before data collection and avoid smoking, drinking coffee, and strong tea within 2 h before the experiment. Additionally, based on the literature [ 11 ] and the total score of the Hamilton Anxiety Rating Scale (HAMA), participants were categorized into different severity levels, including normal, mild, moderate, and severe, as shown in Table 1 .…”

Section: Methodsmentioning

confidence: 99%

“…(3) participants could not have severe physical disorders; (4) participants could not have a history of drug or alcohol abuse; (5) participants could not have any record of brain injury; and (6) participants had to ensure adequate sleep the night before data collection and avoid smoking, drinking coffee, and strong tea within 2 h before the experiment. Additionally, based on the literature [11] and the total score of the Hamilton Anxiety Rating Scale (HAMA), participants were categorized into different severity levels, including normal, mild, moderate, and severe, as shown in Table 1.…”

Section: Participantsmentioning

confidence: 99%

“…Currently, GAD diagnosis typically relies on the evaluation by a psychiatrist based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and a thorough assessment such as the Hamilton Anxiety Rating Scale (HAMA). It is important to note that HAMA cannot be used as a definitive diagnostic tool for anxiety disorders; it is primarily employed to assess the severity of symptoms and heavily relies on subjective responses from patients, which may introduce subjective evaluation biases [ 11 , 12 ]. GAD patients are usually divided into three categories based on the HAMA scores: mild anxiety, moderate anxiety, and severe anxiety [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Integrating EEG and Ensemble Learning for Accurate Grading and Quantification of Generalized Anxiety Disorder: A Novel Diagnostic Approach

Luo,

Zhou,

Fang

et al. 2024

Diagnostics

View full text Add to dashboard Cite

Current assessments for generalized anxiety disorder (GAD) are often subjective and do not rely on a standardized measure to evaluate the GAD across its severity levels. The lack of objective and multi-level quantitative diagnostic criteria poses as a significant challenge for individualized treatment strategies. To address this need, this study aims to establish a GAD grading and quantification diagnostic model by integrating an electroencephalogram (EEG) and ensemble learning. In this context, a total of 39 normal subjects and 80 GAD patients were recruited and divided into four groups: normal control, mild GAD, moderate GAD, and severe GAD. Ten minutes resting state EEG data were collected for every subject. Functional connectivity features were extracted from each EEG segment with different time windows. Then, ensemble learning was employed for GAD classification studies and brain mechanism analysis. Hence, the results showed that the Catboost model with a 10 s time window achieved an impressive 98.1% accuracy for four-level classification. Particularly, it was found that those functional connections situated between the frontal and temporal lobes were significantly more abundant than in other regions, with the beta rhythm being the most prominent. The analysis framework and findings of this study provide substantial evidence for the applications of artificial intelligence in the clinical diagnosis of GAD.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Participantsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Integrating EEG and Ensemble Learning for Accurate Grading and Quantification of Generalized Anxiety Disorder: A Novel Diagnostic Approach

Luo,

Zhou,

Fang

et al. 2024

Diagnostics

View full text Add to dashboard Cite

show abstract

“…Each item is scored from 0 (absent) to 4 (severe), resulting in a total score ranging from 0 to 56. Severity levels are categorized as mild (<17), mild to moderate (18)(19)(20)(21)(22)(23)(24), and moderate to severe (25/30) [55][56][57].…”

Section: Clinical Assessmentmentioning

confidence: 99%

Exploring the Interplay between Complex Post-Traumatic Stress Disorder and Obsessive–Compulsive Disorder Severity: Implications for Clinical Practice

D’Angelo,

Valenza,

Iazzolino

et al. 2024

Medicina

View full text Add to dashboard Cite

Background and Objectives: Traumatic events adversely affect the clinical course of obsessive–compulsive disorder (OCD). Our study explores the correlation between prolonged interpersonal trauma and the severity of symptoms related to OCD and anxiety disorders. Materials and Methods: The study follows a cross-sectional and observational design, employing the International Trauma Questionnaire (ITQ) to examine areas linked to interpersonal trauma, the Hamilton Anxiety Rating Scale (HAM-A), and the Yale–Brown Obsessive–Compulsive Scale (Y-BOCS) to assess anxious and obsessive–compulsive symptoms, respectively. Descriptive analysis, analysis of variance (ANOVA), and logistic regression analyses were conducted. Results: We recruited 107 OCD-diagnosed patients, categorizing them into subgroups based on the presence or absence of complex post-traumatic stress disorder (cPTSD). The ANOVA revealed statistically significant differences between the two groups in the onset age of OCD (p = 0.083), psychiatric familial history (p = 0.023), HAM-A, and Y-BOCS (p < 0.0001). Logistic regression indicated a statistically significant association between the presence of cPTSD and Y-BOCS scores (p < 0.0001). Conclusions: The coexistence of cPTSD in OCD exacerbates obsessive–compulsive symptoms and increases the burden of anxiety. Further advancements in this field are crucial for mitigating the impact of early trauma on the trajectory of OCD and associated anxious symptoms.

show abstract

“…(5) HAMA. It is mainly used to assess the severity of neurosis and anxiety symptoms in people [27]. A total score of more than 29 may indicate severe anxiety; if more than 21 points, there must be significant anxiety; if more than 14 points, there is anxiety; More than 7 points, may have anxiety; If the score is less than 7, there are no symptoms of anxiety [28].…”

Section: Measurementsmentioning

confidence: 99%

A Hierarchical Multi-Dimensional Cognitive Training Program for Preventive Cognitive Decline in Acute Ischemic Stroke Patients: Study Protocol for a Randomized Controlled Trial

Chen,

Lan

2023

Journal of Alzheimer's Disease Reports

View full text Add to dashboard Cite

Background: One of the most popular ways to address cognitive decline is cognitive training. The fact that cognitive deterioration is permanent is one of the main issues. This issue might be resolved by preventive cognitive training when it is acute. As a result, this study aims to design and assess how well stroke patients respond to hierarchical, multi-dimensional preventative cognitive training. Objective: To describe the study design of this center implementation trial. Methods: Participants in the study will be recruited from a hospital in China and randomly assigned to the intervention group or the usual care group. Interventions will include four-week hierarchical multi-dimensional preventive cognitive training through a WeChat program. for Primary outcome measures will be the Montreal Cognitive Assessment, Mini-Mental State Examination, and Post-Stroke Cognitive Impairment (PSCI) Incidence. The secondary outcome measure will include the Hamilton Depression Scale, Hamilton Anxiety Scale, Modified Barthel Index, and National Institutes of Health Neurological Deficit Score. Outcomes will be measured at baseline, 12 weeks, and 24 weeks from the baseline. Results: We expect that the hierarchical multi-dimensional preventive cognitive training program will be easy to implement, and the cognitive function, cognitive psychology, ability of daily living will vary in each setting. Conclusions: The results will provide evidence highlighting differences in a new strategy of cognitive training through the WeChat program, which allows the home-based practice, puts forward an advanced idea of preventive cognitive training in the acute stage, and has the highest effectiveness of reducing cognitive impairment, and Alzheimer’s disease.

show abstract

Consistency checks to improve measurement with the Hamilton Rating Scale for Anxiety (HAM-A)

Cited by 7 publications

References 14 publications

Integrating EEG and Ensemble Learning for Accurate Grading and Quantification of Generalized Anxiety Disorder: A Novel Diagnostic Approach

Integrating EEG and Ensemble Learning for Accurate Grading and Quantification of Generalized Anxiety Disorder: A Novel Diagnostic Approach

Exploring the Interplay between Complex Post-Traumatic Stress Disorder and Obsessive–Compulsive Disorder Severity: Implications for Clinical Practice

A Hierarchical Multi-Dimensional Cognitive Training Program for Preventive Cognitive Decline in Acute Ischemic Stroke Patients: Study Protocol for a Randomized Controlled Trial

Contact Info

Product

Resources

About