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      Measures of anxiety: State-Trait Anxiety Inventory (STAI), Beck Anxiety Inventory (BAI), and Hospital Anxiety and Depression Scale-Anxiety (HADS-A)

      Arthritis Care & Research
      Wiley

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          Hospital Anxiety and Depression Scale (HAD): some psychometric data for a Swedish sample.

          The Hospital Anxiety and Depression Scale (HAD) was evaluated in a Swedish population sample. The purpose of the study was to compare the HAD with the Beck Depression Inventory (BDI) and Spielberger's State Trait Anxiety Inventory (STAI). A secondary aim was to examine the factor structure of the HAD. The results indicated that the factor structure was quite strong, consistently showing two factors in the whole sample as well as in different subsamples. The correlations between the total HAD scale and BDI and STAI, respectively, were stronger than those obtained using the different subscales of the HAD (the anxiety and depression subscales). As expected, there was also a stronger correlation between the HAD and the non-physical items of the BDI. It was somewhat surprising that the factor analyses were consistently extracting two factors, 'depression' and 'anxiety', while on the other hand both BDI and STAI tended to correlate more strongly with the total HAD score than with the specific depression and anxiety HAD subscales. Nevertheless, the HAD appeared to be (as was indeed originally intended) a useful clinical indicator of the possibility of depression and clinical anxiety.
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            Some norms and reliability data for the State--Trait Anxiety Inventory and the Zung Self-Rating Depression scale.

            Means and standard deviations are reported for the State-Trait Anxiety Inventory and the Zung Self-Rating Depression scale, collected during the course of a general health survey. Data for different age samples and for both sexes are presented for use in the evaluation of the significance of anxiety and depression levels in patients presenting with these symptoms. High estimates of reliability based on internal consistency statistics were found for all scales. Females scored more highly on both the measures and scores were inversely correlated with age, indicating the importance of specific and appropriate norms in assessing affective states.
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              The Spielberger State-Trait Anxiety Inventory (STAI): the state scale in detecting mental disorders in geriatric patients.

              In geriatric psychiatry assessment scales are often used in clinical praxis in the diagnostic work-up of mental disorders. To assess whether the state part of the STAI is useful as a case-finding instrument of mental disorders. Data came from 70 non demented geriatric in-patients in stable clinical condition. Mean age was 83.3 years (range 64-96), and 74.3% were women. The 20-item STAI state instrument was used to measure current anxiety symptoms. Without knowledge of the score on STAI state a psychiatrist examined all patients and set diagnosis according to DSM-IV-TR criteria, but hierarchical rules were not used. Sensitivity, specificity, Likelihood ratio and accuracy were calculated for different cut-points of the mean sumscore on the STAI state. 15.7% of the participants suffered from a mental disorder: GAD = 1, mixed anxiety-depression = 5, depression = 1, dysthymic = 1, adjustment disorder (mixed anxiety-depression) = 1, and personality disorder = 1. The mean STAI sumscore in this group was 56.3 compared with 39.2 in the 59 patients without any psychiatric diagnosis. The optimal cut-off score on the STAI mean sumscore corresponding to the highest accuracy of 0.87 was 55/54 with sensitivity 0.82, specificity 0.88, and LR + 6.8. The STAI state scale is a useful instrument for detecting a variety of mental disorders in older people. Further studies should be carried out in different populations. Copyright 2005 John Wiley & Sons, Ltd.
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                Author and article information

                Journal
                Arthritis Care & Research
                Arthritis Care Res
                Wiley
                2151464X
                November 2011
                November 2011
                November 07 2011
                : 63
                : S11
                : S467-S472
                Article
                10.1002/acr.20561
                3879951
                22588767
                b832bb8c-5a7f-46cc-8d46-90e40198a94a
                © 2011

                http://doi.wiley.com/10.1002/tdm_license_1.1

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