Skip to main content

Is the beck anxiety inventory a good tool to assess the severity of anxiety? A primary care study in The Netherlands study of depression and anxiety (NESDA)



Appropriate management of anxiety disorders in primary care requires clinical assessment and monitoring of the severity of the anxiety. This study focuses on the Beck Anxiety Inventory (BAI) as a severity indicator for anxiety in primary care patients with different anxiety disorders (social phobia, panic disorder with or without agoraphobia, agoraphobia or generalized anxiety disorder), depressive disorders or no disorder (controls).


Participants were 1601 primary care patients participating in the Netherlands Study of Depression and Anxiety (NESDA). Regression analyses were used to compare the mean BAI scores of the different diagnostic groups and to correct for age and gender.


Patients with any anxiety disorder had a significantly higher mean score than the controls. A significantly higher score was found for patients with panic disorder and agoraphobia compared to patients with agoraphobia only or social phobia only. BAI scores in patients with an anxiety disorder with a co-morbid anxiety disorder and in patients with an anxiety disorder with a co-morbid depressive disorder were significantly higher than BAI scores in patients with an anxiety disorder alone or patients with a depressive disorder alone. Depressed and anxious patients did not differ significantly in their mean scores.


The results suggest that the BAI may be used as a severity indicator of anxiety in primary care patients with different anxiety disorders. However, because the instrument seems to reflect the severity of depression as well, it is not a suitable instrument to discriminate between anxiety and depression in a primary care population.

Peer Review reports


In primary care, many patients present with anxiety symptoms but these are seldom systematically assessed [1]. To improve anxiety management, assessment of the severity of the anxiety (and subsequent monitoring) is recommended by researchers and also in clinical guidelines [24]. With regard to depression, the use of severity indicators in primary care is supported by the results of studies showing that patients value the use of questionnaires as a supplement to the diagnosis made by their general practitioner and as evidence that their problems are taken seriously [5]. Furthermore, when questionnaires to assess severity are used, higher severity scores are related to better care (i.e. higher prescription rates of antidepressant medication and increased referral to secondary care) [6]. Moreover, in some countries incentives are offered when a validated instrument is used at the start of and during the treatment of patients diagnosed with depression [7]. For similar reasons the use of severity scales to assess anxiety symptoms in primary care might be advocated. However, we first have to determine which questionnaires can be used as severity indicators in primary care and what their characteristics are.

As anxiety disorders differ in type and symptoms, assessing the severity of anxiety in general may be more difficult than assessing the severity of depression. General rating scales may not be specific enough to assess the severity of a specific anxiety disorder (i.e. panic disorder or generalized anxiety disorder). However, extensive testing for different forms of anxiety is also not feasible during the short consultations in primary care. Considering its brevity, simplicity, and presumed ability to measure general anxiety, the Beck Anxiety Inventory (BAI) [8] might be a good candidate for use as a severity indicator. Since its development, the BAI has been widely used in clinical research in mental health care, mainly as a measure of general anxiety [9].

However, the BAI has been disputed for its focus on psychophysiological symptoms linked to panic. The results of several studies have found that patients with panic disorder score higher on the BAI than patients with for example generalized anxiety disorder [1013]. Either way, patients with panic disorder and patients with other anxiety disorders have been found to score significantly higher than patients with no anxiety disorder [1416]. Remarkably, no study has specifically investigated the co-morbidity of anxiety disorders and how this influences BAI scores, even though co-morbidity occurs frequently [17]. Furthermore, none of the previous BAI studies have focused on primary care populations.

Another presumed quality of the BAI is its ability to discriminate anxiety from depression [8]. Even though in primary care this might be of less importance than in research settings, it is important to know whether the BAI only measures anxiety or whether it is also sensitive to depressive symptomatology. The results of earlier studies suggest a substantial overlap of the BAI with depressive symptoms, illustrated by a moderate correlation between the BAI and depression scales [18]. In terms of differences in the BAI scores of anxious and depressed patients, a large difference was found in the original validation study [8], but in two later studies no difference was found. However, in these studies the authors questioned the results because of limitations in the methodology [15, 19].

In the present study, we investigated whether the BAI reflects the severity of anxiety in primary care patients with different anxiety disorders. The mean scores of several patient groups were compared: healthy controls, patients with one anxiety disorder, patients with multiple anxiety disorders, patients with one depressive disorder, and patients with co-morbid anxiety-depression. The diagnostic groups were separated into patients with no co-morbidity and patients with co-morbidity, to ensure homogeneity of the groups. It was hypothesized that the BAI scores of patients with an anxiety disorder would be higher than the BAI scores of healthy controls or depressed patients. Patients with a panic disorder were expected to score higher than patients in the other anxiety disorder groups. We also expected patients with co-morbid disorders to score higher than patients with no co-morbidity.



The participants in this study were recruited for a large cohort study: the Netherlands Study of Depression and Anxiety (NESDA) [20]. From the baseline sub-sample of 1601 primary care patients in the NESDA cohort we selected all patients with a current anxiety or depressive disorder according to the WHO Composite Interview Diagnostic Instrument (CIDI lifetime version 2.1) and patients with no history of anxiety or depression. DSM-IV classifications of diagnoses within the past month were used to assure present symptomatology. Patients with a history of anxiety or depression, but no current diagnosis, were excluded from the analysis. The mean BAI scores of patients with an anxiety disorder (N = 276) and patients with a depressive disorder (N = 155), were compared to the mean BAI scores of a control group of patients with no history of anxiety or depressive disorders (N= 513). The NESDA study protocol was approved by the Medical Ethics Committee of the VU University Medical Centre.


The primary care sample in the NESDA study was recruited between September 2004 and February 2007 through 65 general practitioners situated in different parts of the Netherlands (Amsterdam, Groningen, and Leiden). A screening questionnaire was sent to 23750 patients between 18 and 65 years of age who had consulted their general practitioner in the past four months. This questionnaire consisted of the Kessler-10 (K-10) [21], which screens for affective disorders, supplemented with five questions about anxiety (Extended K-10, or EK-10). The EK-10 showed adequate psychometric properties, with a sensitivity of .90 and a specificity of .75 to detect anxiety or depressive disorders [22]. Participants who returned the EK-10 (N = 10706, 45.9%), scored positively (N = 4592, 43%), gave informed consent (N = 3420, 74%) and could be contacted (N = 2995, 88%) had a telephone screening interview based on short-form sections of the CIDI (major depression, dysthymia, social phobia, panic disorder, agoraphobia, and generalized anxiety disorder).

Patients who were unwilling to be interviewed (N = 267, 9%), were not fluent in Dutch (N = 86, 3%) or were being treated in a mental health organization (N = 155, 5%), were excluded. All other patients who screened positive on the telephone screening (N = 1162, 47%) and a random sample of patients who screened negative (N = 924) were contacted for a face-to-face interview. As 437 (24%) participants were unwilling to participate and 39 (2%) could not be contacted or were not fluent in Dutch, 1610 primary care patients were finally included in the NESDA study and completed the baseline assessment. More details about the recruitment process are described elsewhere [20]. Of the 1610 NESDA participants, 9 patients who did not complete the BAI were excluded from the analysis. The present sample therefore consisted of 1601 patients, 617 of whom had at least one current diagnosis of anxiety or depression, 471 had a history of anxiety or depression, and 513 were controls with no history of anxiety or depression.


Composite Interview Diagnostic Instrument (CIDI)

The CIDI (version 2.1) is an interview that classifies psychiatric diagnoses according to the DSM-IV [23]. It is a widely used interview, which has good interrater reliability [24], high test-retest reliability [25], and high validity for the classification of depressive and anxiety disorders [26, 27]. CIDI interviews were conducted by specifically trained research assistants. The CIDI classifies diagnoses that were present at some point in the patients' life (lifetime diagnoses), in the past half year and in the past month.

Beck Anxiety Inventory (BAI)

The BAI is a short list describing 21 anxiety symptoms such as "wobbliness in legs", "scared" and "fear of losing control" [8]. Respondents are asked to rate how much each of these symptoms bothered them in the past week, on a scale ranging from 0 (not at all) tot 3 (severely, I could barely stand it). The total score has a minimum of 0 and a maximum of 63. The scale was validated in a sample of 160 psychiatric outpatients with various anxiety and depressive disorders, diagnosed with the Structured Clinical Interview for DSM-III [28]. The BAI has a high internal consistency (Cronbachs α = .92) and a test-retest reliability over one week of .75 [8].

Statistical analysis

All analyses were conducted in SPSS version 15.0 [29]. Regression analysis was performed to examine differences between group scores. The analyses were corrected for age and gender, because age was differentially distributed over the diagnostic groups and because female patients scored significantly higher than male patients in the total sample. All variables were entered simultaneously into the analysis. The analyses were repeated with different groups as the reference group to be able to compare all groups.


Descriptive statistics

The average age of the participants was 45.9 years and the majority of the patients were female (68.8%). Almost one third of the participants had been diagnosed with an anxiety disorder in the past month (N = 493, 30.8%). Table 1 shows the age, gender and DSM-IV diagnosis of the participants.

Table 1 Age, gender and current DSM-IV diagnoses of participants (N = 1601)

Many patients with a diagnosis of an anxiety disorder had at least one co-morbid anxiety disorder. The percentage of patients with a co-morbid anxiety disorder varied over the diagnostic groups: anxiety co-morbidity was highest in patients with panic disorder or generalized anxiety disorder (54%) followed by patients with social phobia (51%) and patients with agoraphobia alone (35%). Almost half (41%) of the patients with an anxiety disorder also suffered from a depressive disorder, while 62% of the patients with a depressive disorder were also diagnosed with an anxiety disorder.

Anxiety disorders

Table 2 shows the mean BAI scores of the control group (no history of anxiety or depression), patients with one anxiety disorder and patients with multiple anxiety disorders. Patients with a co-morbid depression were excluded from this analysis (n = 203).

Table 2 Mean BAI scores of patients with different anxiety disorders (with no co-morbid depression) and controls

Patients with an anxiety disorder scored significantly higher than the controls (p < 0.001) and patients with multiple anxiety disorders scored considerably higher than all other groups (p < .05). The mean BAI score of patients with a panic disorder and agoraphobia was significantly higher than the mean score of patients with social phobia (p = 0.03) or agoraphobia alone (p < 0.001).

Anxiety and depressive disorders

Table 3 shows that the score of depressed patients approximates the score of anxious patients (p = .41). Patients with co-morbid anxiety-depression scored significantly higher than patients with either an anxiety disorder or a depressive disorder alone (p < 0.001).

Table 3 Mean BAI scores of patients with a depressive disorder, an anxiety disorder and co-morbid anxiety-depression


The results of our study show that primary care patients with different anxiety disorders score significantly higher than patients with no anxiety or depressive disorder. These results suggest that the BAI does reflect general anxiety in primary care patients. With regard to the different diagnostic groups of anxiety disorders, we did partly confirm the strong focus of the BAI on panic symptoms [10, 11]. Patients with a panic disorder and agoraphobia scored significantly higher than patients with agoraphobia alone or social phobia. However, patients with a panic disorder without agoraphobia did not score significantly higher than the other groups. The high scores of patients with a panic disorder and agoraphobia might thus be explained by the severity of this specific disorder. In other studies in which the BAI was used, greater differences were found between the group of patients with a panic disorder and other diagnostic groups [1113, 30, 31]. One reason for this discrepancy in findings might be the setting in which studies took place. Most of the previous studies were conducted in treatment centres for anxiety disorders, while the participants in the present study were actively recruited in primary care, also including patients with previously undiagnosed anxiety or depression. It is likely that more primary care patients present with less severe forms of panic disorder. Indeed, the mean score of patients with panic disorder in the present study seems to be substantially lower than the scores reported in studies with secondary care patients [11, 13, 30, 31] coming closer to the scores of patients with a panic disorder in an epidemiological sample [32]. Furthermore, in the analysis of the present study, patient groups were specifically selected on the basis of (the absence of) co-morbidity, thus resulting in pure diagnostic groups. This may have provided a more accurate estimate of the mean scores of specific patient groups.

Beck and colleagues [8] claimed that the BAI measures anxiety while minimizing its overlap with depression but this was not sustained by the results of the present study. For practical purposes, this is a two-sided finding. The BAI appears to be robust for depression, but not entirely specific for anxiety in a primary care population. These findings are consistent with the results of earlier studies that compared the total BAI scores of depressed and anxious patients [15, 19]. Steer and colleagues relate their findings to the low co-morbidity rate in their sample, but this argument does not hold up in the present study. There could be several explanations why depressed patients score almost as high as anxiety patients. First of all, sub-threshold anxiety experienced by patients with a depressive disorder may have increased their anxiety scores. Sub-threshold anxiety was not assessed in the present study, but previous research has shown that a substantial number of depressed patients also experience some form of (sub-threshold) anxiety [33, 34]. Secondly, somatoform disorders were not classified with the CIDI interview, while these disorders are prevalent in primary care patients with a depressive disorder, and can also cause the physiological symptoms described in the BAI [35]. A third explanation might be that anxiety and depression share a common underlying factor, often referred to as 'negative affect' [34, 36]. There is longstanding debate about this question, growing stronger due to the pressure of the upcoming publication of the DSM-V and fuelled by the considerable prevalence of co-morbidity between anxiety and depression and the symptom overlap on anxiety and depression scales. With regard to this third hypothesis, the sensitivity of the BAI for shared symptomatology would be more of a quality than a deficiency. Fourthly, total scores for self-report questionnaires, in general, might not be precise enough to measure difficult constructs such as anxiety and depression. There is some evidence that the BAI is able to discriminate between anxiety and depression when items are weighted, as happens in factor analysis [19]. However, weighting the items would complicate the use of the BAI to such an extent that its use would not be feasible in primary care.

A strength of this study is the large size of this primary care sample, diagnosed with a valid interview identifying five different anxiety disorders and two depressive disorders. Because of the high prevalence of co-morbidity in patients with anxiety and depressive disorders, such a large sample is needed to compare (sub-)groups of patients with a specific anxiety or depressive disorder. However, even in this large sample, patients with one specific anxiety disorder are scarce, limiting the power of the analyses. Another limitation of the analysis was the skewed distribution of the scores. Although we considered performing a log transformation, we decided to use raw scores to facilitate the interpretability of the scores in clinical practice.


The results indicate that the BAI reflects the severity of anxiety in primary care patients with different anxiety disorders. The use of questionnaires such as the BAI may improve the care that is provided and is desirable from the viewpoint of primary care patients [5]. However, as the use of questionnaires in primary care is not common practice, this should be stimulated by means of guidelines, training and education. Further research will be needed to evaluate the usefulness of the BAI in monitoring the severity of anxiety during treatment and over time. In addition, researchers should establish criteria for improvement and remission according to the BAI score, in primary care patients. When questionnaires such as the BAI are used within a framework of care, such as case management or collaborative care, they will optimally help to improve the treatment of primary care patients with anxiety disorders [3, 37, 38].

Authors' information

AM is a PhD student working on a dissertation about collaborative care for anxiety disorders in primary care. CFC is full professor of Social Psychiatry and Principal Investigator of several randomized clinical trials on collaborative care. HvM is associate professor of general practice, he participated in several national guideline committees on mental health, and is a practising GP. PS is professor in Clinical Psychology and was chairman of the Dutch Committee Multidisciplinary Guidelines for Anxiety Disorders in Mental Health Care. BP is Principal Investigator of the NESDA study, and professor of Psychiatric Epidemiology. AvB is professor Evidence-based Psychiatry. He performed meta-analyses, systematic (Cochrane) reviews and randomized controlled trials (RCT's) in patients with anxiety disorders.


  1. Bakker IM, van Marwijk HW, Terluin B, Anema JR, van MW, Stalman WA: Training GP's to use a minimal intervention for stress-related mental disorders with sick leave (MISS): Effects on performance Results of the MISS project; a cluster-randomised controlled trial. Patient Education Counseling. 2010, 78: 206-2011. 10.1016/j.pec.2009.07.006.

    Article  PubMed  Google Scholar 

  2. Roy-Byrne PP, Wagner AW, Schraufnagel TJ: Understanding and treating panic disorder in the primary care setting. Journal of Clinical Psychiatry. 2005, 66 (Suppl 4): 16-22.

    PubMed  Google Scholar 

  3. Muntingh ADT, van der Feltz-Cornelis CM, Van Marwijk HWJ, Spinhoven P, Assendelft WJJ, de Waal MW, Hakkaart-van RL, Ader HJ, Van Balkom AJLM: Collaborative stepped care for anxiety disorders in primary care: aims and design of a randomized controlled trial. BMC Health Services Research. 2009, 9: 159-10.1186/1472-6963-9-159.

    Article  PubMed  PubMed Central  Google Scholar 

  4. McIntosh A, Cohen A, Turnbull N, Esmonde L, Dennis P, Eatock J, Feetam C, Hague J, Hughes I, Kelly J, Kosky N, Lear G, Owens L, Ratcliffe J, Salkovskis P: Clinical guidelines and evidence review for panic disorder and generalised anxiety disorder. 2010, Sheffield, University of Sheffield/London: National Collaborating Centre for Primary Care

    Google Scholar 

  5. Dowrick C, Leydon GM, McBride A, Howe A, Burgess H, Clarke P, Maisey S, Kendrick T: Patients' and doctors' views on depression severity questionnaires incentivised in UK quality and outcomes framework: qualitative study. Br Med J. 2009, 338: b663-10.1136/bmj.b663.

    Article  Google Scholar 

  6. Kendrick T, Dowrick C, McBride A, Howe A, Clarke P, Maisey S, Moore M, Smith PW: Management of depression in UK general practice in relation to scores on depression severity questionnaires: analysis of medical record data. Br Med J. 2009, 338: b750-10.1136/bmj.b750.

    Article  Google Scholar 

  7. British Medical Association, NHS Employers: Quality and Outcomes framework guidance for GMS contract 2009/10. Delivering investment in general practice. 2009, 3rd revision

    Google Scholar 

  8. Beck AT, Epstein N, Brown G, Steer RA: An inventory for measuring clinical anxiety: psychometric properties. Journal of Consulting and Clinical Psychology. 1988, 56: 893-897.

    Article  CAS  PubMed  Google Scholar 

  9. Piotrowski C: The status of the Beck Anxiety Inventory in contemporary research. Psychol Rep. 1999, 85: 261-262. 10.2466/PR0.85.5.261-262.

    Article  CAS  PubMed  Google Scholar 

  10. Cox BJ, Cohen E, Direnfeld DM, Swinson RP: Does the Beck Anxiety Inventory measure anything beyond panic attack symptoms?. Behaviour Research and Therapy. 1996, 34 (11-12): 949-954. 10.1016/S0005-7967(96)00037-X.

    Article  CAS  PubMed  Google Scholar 

  11. Leyfer OT, Ruberg JL, Woodruff-Borden J: Examination of the utility of the Beck Anxiety Inventory and its factors as a screener for anxiety disorders. J Anxiety Disord. 2006, 20: 444-458. 10.1016/j.janxdis.2005.05.004.

    Article  PubMed  Google Scholar 

  12. Beck AT, Steer RA: Relationship between the Beck Anxiety Inventory and the Hamilton Anxiety Rating Scale with anxious outpatients. J Anxiety Disord. 1991, 213-223.

    Google Scholar 

  13. Fydrich T, Dowdall D, Chambless DL: Reliability and validity of the Beck Anxiety Inventory. J Anxiety Disord. 1992, 6: 55-61. 10.1016/0887-6185(92)90026-4.

    Article  Google Scholar 

  14. Kabacoff RI, Segal DL, Hersen M, Van Hasselt VB: Psychometric properties and diagnostic utility of the Beck Anxiety Inventory and the State-Trait Anxiety Inventory with older adult psychiatric outpatients. J Anxiety Disord. 1997, 11: 33-47. 10.1016/S0887-6185(96)00033-3.

    Article  CAS  PubMed  Google Scholar 

  15. Steer RA, Ranieri WF, Beck AT, Clark DA: Further evidence for the validity of the Beck Anxiety Inventory with psychiatric outpatients. J Anxiety Disord. 1993, 195-205.

    Google Scholar 

  16. Wetherell JL, Gatz M: The Beck Anxiety Inventory in Older Adults With Generalized Anxiety Disorder. Journal of Psychopathology and Behavioral Assessment. 2005, 27: 17-24. 10.1007/s10862-005-3261-3.

    Article  Google Scholar 

  17. De Graaf R, Bijl RV, Smit F, Vollebergh WA, Spijker J: Risk factors for 12-month comorbidity of mood, anxiety, and substance use disorders: findings from the Netherlands Mental Health Survey and Incidence Study. American Journal of Psychiatry. 2002, 159: 620-629. 10.1176/appi.ajp.159.4.620.

    Article  PubMed  Google Scholar 

  18. Ferguson RJ: Using the Beck Anxiety Inventory in Primary Care. Handbook of psychological assessments in primary care settings. Edited by: Maruish ME. 2000, Mahwah, NJ: Lawrence Erlbaum, 509-535.

    Google Scholar 

  19. Hewitt PL, Norton GR: The Beck Anxiety Inventory: A psychometric analysis. Psychological Assessment. 1993, 5: 408-412.

    Article  Google Scholar 

  20. Penninx BW, Beekman AT, Smit JH, Zitman FG, Nolen WA, Spinhoven P, Cuijpers P, de Jong PJ, van Marwijk HW, Assendelft WJ, van der MK, Verhaak P, Wensing M, de Graaf R, Hoogendijk WJ, Ormel J, van Dyck R: The Netherlands Study of Depression and Anxiety (NESDA): rationale, objectives and methods. International Journal of Methods in Psychiatric Research. 2008, 17: 121-140. 10.1002/mpr.256.

    Article  PubMed  Google Scholar 

  21. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SL, Walters EE, Zaslavsky AM: Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine. 2002, 32: 959-976. 10.1017/S0033291702006074.

    Article  CAS  PubMed  Google Scholar 

  22. Donker T, Comijs H, Cuijpers P, Terluin B, Nolen W, Zitman F, Penninx B: The validity of the Dutch K10 and extended K10 screening scales for depressive and anxiety disorders. Psychiatry Research. 2010

    Google Scholar 

  23. American Psychiatric Association: Diagnostic and statistical manual of mental disorders, fourth edition (DSM-IV). 2001, Washington, DC, American Psychiatric Publishing, 1-3.

    Google Scholar 

  24. Wittchen HU, Robins LN, Cottler LB, Sartorius N, Burke JD, Regier D: Cross-cultural feasibility, reliability and sources of variance of the Composite International Diagnostic Interview (CIDI). The Multicentre WHO/ADAMHA Field Trials. British Journal of Psychiatry. 1991, 159: 645-53, 658. 10.1192/bjp.159.5.645.

    Article  CAS  PubMed  Google Scholar 

  25. Wacker HR, Battegay R, Mullejans R, Schlosser C: Using the CIDI-C in the general population. Psychiatry: A world perspective. Edited by: Stefanis CN, Rabavilas AD, Soldatos CR. 2006, Amsterdam: Elsevier Science Publishers, 138-143.

    Google Scholar 

  26. Wittchen HU: Reliability and validity studies of the WHO--Composite International Diagnostic Interview (CIDI): a critical review. Journal of Psychiatric Research. 1994, 28: 57-84. 10.1016/0022-3956(94)90036-1.

    Article  CAS  PubMed  Google Scholar 

  27. Wittchen HU, Burke JD, Semler G, Pfister H, Von CM, Zaudig M: Recall and dating of psychiatric symptoms. Test-retest reliability of time-related symptom questions in a standardized psychiatric interview. Archives of General Psychiatry. 1989, 46: 437-443.

    Article  CAS  PubMed  Google Scholar 

  28. Spitzer RL, Williams JBW: Instruction manual for the Structured Clinical Interview for the DSM-III (SCID). 1983, New York: New York State Psychiatric Institute, Biometrics Research Department

    Google Scholar 

  29. SPSS Inc.: SPSS 15.0 for Windows. 2006, Chicago

    Google Scholar 

  30. Steer RA, Beck AT: Generalized anxiety and panic disorders: Response to Cox, Cohen, Direnfeld, and Swinson (1996). Behaviour Research and Therapy. 1996, 34: 955-957. 10.1016/S0005-7967(96)00059-9.

    Article  Google Scholar 

  31. Beck AT, Steer RA: Relationship between the Beck Anxiety Inventory and the Hamilton Anxiety Rating Scale with anxious outpatients. J Anxiety Disord. 1991, 5: 213-223. 10.1016/0887-6185(91)90002-B.

    Article  Google Scholar 

  32. Hoyer J, Becker ES, Neumer S, Soeder U, Margraf J: Screening for anxiety in an epidemiological sample: predictive accuracy of questionnaires. J Anxiety Disord. 2002, 16: 113-134. 10.1016/S0887-6185(01)00094-9.

    Article  PubMed  Google Scholar 

  33. Roy-Byrne PP, Stang P, Wittchen HU, Ustun B, Walters EE, Kessler RC: Lifetime panic-depression comorbidity in the National Comorbidity Survey. Association with symptoms, impairment, course and help-seeking. British Journal of Psychiatry. 2000, 176: 229-235. 10.1192/bjp.176.3.229.

    Article  CAS  PubMed  Google Scholar 

  34. Lowe B, Spitzer RL, Williams JB, Mussell M, Schellberg D, Kroenke K: Depression, anxiety and somatization in primary care: syndrome overlap and functional impairment. General Hospital Psychiatry. 2008, 30: 191-199. 10.1016/j.genhosppsych.2008.01.001.

    Article  PubMed  Google Scholar 

  35. Mergl R, Seidscheck I, Allgaier AK, Moller HJ, Hegerl U, Henkel V: Depressive, anxiety, and somatoform disorders in primary care: prevalence and recognition. Depression Anxiety. 2007, 24: 185-195. 10.1002/da.20192.

    Article  PubMed  Google Scholar 

  36. Brown TA, Barlow DH: A proposal for a dimensional classification system based on the shared features of the DSM-IV anxiety and mood disorders: implications for assessment and treatment. Psychological Assessment. 2009, 21: 256-271.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Gilbody S, Sheldon T, Wessely S: Should we screen for depression?. Br Med J. 2006, 332: 1027-1030. 10.1136/bmj.332.7548.1027.

    Article  Google Scholar 

  38. Roy-Byrne P, Craske MG, Sullivan G, Rose RD, Edlund MJ, Lang AJ, Bystritsky A, Welch SS, Chavira DA, Golinelli D, Campbell-Sills L, Sherbourne CD, Stein MB: Delivery of evidence-based treatment for multiple anxiety disorders in primary care: a randomized controlled trial. Journal of the American Medical Association. 2010, 303: 1921-1928. 10.1001/jama.2010.608.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Pre-publication history

Download references


The infrastructure for the NESDA study ( is funded through the Geestkracht programme of the Netherlands Organization for Health Research and Development (Zon-Mw, grant number 10-000-1002), and is supported by participating universities and mental health care organizations (VU University Medical Centre, GGZ inGeest, Arkin, Leiden University Medical Centre, GGZ Rivierduinen, University Medical Centre Groningen, Lentis, GGZ Friesland, GGZ Drenthe, Scientific Institute for Quality of Healthcare (IQ healthcare), Netherlands Institute for Health Services Research (NIVEL) and Netherlands Institute of Mental Health and Addiction (Trimbos Institute).

Author information

Authors and Affiliations


Corresponding author

Correspondence to Anna DT Muntingh.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

AM participated in the design of the study, performed the statistical analyses and drafted the manuscript. CFC, HvM, PS and AvB participated in the design of the study, helped drafting the manuscript and critically commented on the manuscript. BP obtained funding for and designed the NESDA study, supervised data collection and critically commented on the manuscript. All authors read and approved the final manuscript.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Muntingh, A.D., van der Feltz-Cornelis, C.M., van Marwijk, H.W. et al. Is the beck anxiety inventory a good tool to assess the severity of anxiety? A primary care study in The Netherlands study of depression and anxiety (NESDA). BMC Fam Pract 12, 66 (2011).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Depressive Disorder
  • Anxiety Disorder
  • Generalize Anxiety Disorder
  • Social Phobia
  • Panic Disorder