Skip to main content

Main menu

  • HOME
  • ONLINE FIRST
  • CURRENT ISSUE
  • ALL ISSUES
  • AUTHORS & REVIEWERS
  • SUBSCRIBE
  • BJGP LIFE
  • MORE
    • About BJGP
    • Conference
    • Advertising
    • eLetters
    • Alerts
    • Video
    • Audio
    • Librarian information
    • Resilience
    • COVID-19 Clinical Solutions
  • RCGP
    • BJGP for RCGP members
    • BJGP Open
    • RCGP eLearning
    • InnovAIT Journal
    • Jobs and careers

User menu

  • Subscriptions
  • Alerts
  • Log in

Search

  • Advanced search
British Journal of General Practice
Intended for Healthcare Professionals
  • RCGP
    • BJGP for RCGP members
    • BJGP Open
    • RCGP eLearning
    • InnovAIT Journal
    • Jobs and careers
  • Subscriptions
  • Alerts
  • Log in
  • Follow bjgp on Twitter
  • Visit bjgp on Facebook
  • Blog
  • Listen to BJGP podcast
  • Subscribe BJGP on YouTube
Intended for Healthcare Professionals
British Journal of General Practice

Advanced Search

  • HOME
  • ONLINE FIRST
  • CURRENT ISSUE
  • ALL ISSUES
  • AUTHORS & REVIEWERS
  • SUBSCRIBE
  • BJGP LIFE
  • MORE
    • About BJGP
    • Conference
    • Advertising
    • eLetters
    • Alerts
    • Video
    • Audio
    • Librarian information
    • Resilience
    • COVID-19 Clinical Solutions
Research

Trends in the registration of anxiety in Belgian primary care from 2000 to 2021: a registry-based study

Simon Gabriël Beerten, Kristien Coteur, Pavlos Mamouris, Marc Van Nuland, Gijs Van Pottelbergh, Lidia Casas and Bert Vaes
British Journal of General Practice 2023; 73 (731): e460-e467. DOI: https://doi.org/10.3399/BJGP.2022.0196
Simon Gabriël Beerten
Department of Public Health and Primary Care, KU Leuven, Leuven.
MD, MSc
Roles: Research fellow
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Simon Gabriël Beerten
Kristien Coteur
Department of Public Health and Primary Care, KU Leuven, Leuven.
PhD
Roles: Research fellow
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Kristien Coteur
Pavlos Mamouris
Department of Public Health and Primary Care, KU Leuven, Leuven.
MSc
Roles: Research fellow
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Pavlos Mamouris
Marc Van Nuland
Department of Public Health and Primary Care, KU Leuven, Leuven.
MD, PhD
Roles: Visiting professor
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Marc Van Nuland
Gijs Van Pottelbergh
Department of Public Health and Primary Care, KU Leuven, Leuven.
MD, PhD
Roles: Assistant professor
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Gijs Van Pottelbergh
Lidia Casas
Social Epidemiology and Health Policy, Department of Family Medicine and Population Health, and Institute for Environment and Sustainable Development, University of Antwerp, Antwerp, Belgium.
MD, PhD
Roles: Assistant professor
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Lidia Casas
Bert Vaes
Department of Public Health and Primary Care, KU Leuven, Leuven.
MD, PhD
Roles: Assistant professor
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Bert Vaes
  • Article
  • Figures & Data
  • Info
  • eLetters
  • PDF
Loading

Abstract

Background Anxiety is frequently encountered in general practice, but figures regarding prevalence and incidence in this healthcare setting remain scarce.

Aim To provide insight about the trends in prevalence and incidence of anxiety in Belgian general practice, as well as the comorbidities and treatment of anxiety in this context.

Design and setting Retrospective cohort study using the INTEGO morbidity registration network, with clinical data from over 600 000 patients in Flanders, Belgium.

Method Trends in age-standardised prevalence and incidence of anxiety from 2000 to 2021 as well as prescriptions in patients with prevalent anxiety were analysed with joinpoint regression. Comorbidity profiles were analysed using the Cochran–Armitage test and the Jonckheere–Terpstra test.

Results During the 22-year study period, 8451 unique patients with anxiety were identified. The prevalence of anxiety diagnoses rose significantly during this period, from 1.1% in 2000 to 4.8% in 2021. The overall incidence rate rose from 1.1/1000 patient–years (PY) in 2000 to 9.9/1000 PY in 2021. The average chronic disease count per patient increased significantly during the study period, from 1.5 to 2.3 chronic conditions. The most frequent comorbidities in patients with anxiety in 2017–2021 were malignancy (20.1%), hypertension (18.2%), and irritable bowel syndrome (13.5%). The proportion of patients treated with psychoactive medication rose from 25.7% to almost 40% over the study period.

Conclusion A significantly increasing prevalence and incidence of physician-registered anxiety was found in the study. Patients with anxiety tend to become more complex, with more comorbidities. Treatment for anxiety in Belgian primary care is very dependent on medication.

  • anxiety
  • Belgium
  • epidemiology
  • general practice
  • primary care
  • comorbidity

INTRODUCTION

Anxiety disorders are common,1 with a global prevalence of 4.1% in 2019, higher in females.2,3 In Belgium, the estimated prevalence in 2019 was 5.6% (6.5% for females and 4.7% for males).4 These results were derived from surveys (face-to-face interviews using the World Mental Health-Composite International Diagnostic Interview questionnaire) in the general population.5

In primary care, the most commonly diagnosed anxiety disorder is generalised anxiety disorder (GAD).6 The 2018 Belgian Health Interview Survey put the prevalence of GAD at 11.2%.7 It was a population-level self-report survey and the seven-item Generalized Anxiety Disorder scale was used.8 An important problem with data for mental health disorders is the discrepancy between diagnostic data in electronic medical records and self-reported data.9 Regarding trends in the epidemiology of anxiety there are many sources with contradictory findings. For instance, in a population-level analysis by Booth et al, anxiety tended to increase more over time in specific populations (for example, students).10 For most of these studies surveys such as the State-Trait Anxiety Inventory were used instead of clinical data. Furthermore, there are generally high rates of comorbidity between depression and anxiety.11,12 This has raised doubts as to whether these disorders constitute separate clinical entities.13 Some studies found common overlap for anxiety and mood disorders in primary care.14,15

As a result of the paucity of data surrounding trends in anxiety in primary care, this study sought to examine the registration of anxiety, its comorbidities, and medication prescription over a 22-year period in primary care in Flanders, the northern region of Belgium.

METHOD

Study design and data collection

This study used the INTEGO database, a morbidity registration network in Flemish primary care.16 It started in 1994 and contains medical information on over 600 000 patients. Primary care practices apply for inclusion in this registry, which is a continuous process. Registration performance of these practices is compared with that of other practices. Only those practices with optimal performance are included in this study. All diagnoses and new drug prescriptions are registered using codes.

In Belgium, patients are able to visit any GP they prefer. In INTEGO, their data are coded with a unique patient ID to avoid double-counting when they visit multiple GPs in the network. Currently, there are 104 practices in INTEGO. The patients of those practices are representative for the Flemish population in terms of age and sex.16 The study period ran from 1 January 2000 to 31 December 2021. Only practices with at least 80% coded diagnoses were included in the study (86 practices) to minimise intrapractice variation.

Figures on anxiety in general practice are scarce. This study shows increasing incidence and prevalence of physician-registered anxiety. Patients with anxiety had an increasing number of comorbidities over time. Treatment of anxiety in this setting seems very dependent on medication, particularly selective serotonin reuptake inhibitors and anxiolytics.

How this fits in

The denominator used in this study is the yearly contact group (YCG),16,17 which contains all the patients who visited a practice at least once in a given year. Given that Belgian GPs do not have fixed patient lists, using the YCG as a denominator is therefore the most realistic approach.17 Included patients were aged ≥15 years.

Anxiety, comorbidities, and treatment

Diagnoses in INTEGO are coded using the International Classification of Primary Care 2 (ICPC-2). To identify patients with anxiety the ICPC-2 code P74 ‘Anxiety disorder/anxiety state’ was used. In a sensitivity analysis the symptom code P01 ‘Feeling anxious/nervous/tense’ was added for comparison (see Supplementary Appendix S1, Table S1, and Figure S1). In line with the view that anxiety disorders are considered chronic,18 a ‘case’ was considered prevalent when the diagnosis of P74 was made at any point before the year of analysis during the study period. At the start of the study period (2000), a case was considered prevalent if the diagnosis had been made in 1999 or before. Similarly, a case was considered incident in a certain year if in that year the diagnosis was made for the first time ever. Incident cases were thus eligible to become prevalent cases in the next year. It was not possible to tell the severity of the disorder as this was not coded in the electronic health record.

For the comorbidities at the moment of diagnosis in incident cases (that is, present the same day as the first anxiety diagnosis) a precompiled list of chronic diseases was used, as in a previous study by the same author group.19 Chronic kidney disease was assessed by the closest creatinine measurements in the 2 years preceding or following a P74 diagnosis.

To define treatment, the Anatomic Therapeutic Classification codes that are available in the INTEGO databases were used. Psychoactive medication was defined as: N05A (antipsychotics), N05B (anxiolytics), N05C (hypnotics/sedatives), and N06A (antidepressants). The full list can be found in Supplementary Appendix S2. Medication prescriptions were assessed for patients with anxiety (although not necessarily prescriptions for anxiety) who received prescriptions on a) only one or b) ≥3 separate occasions a year, the latter serving as an approximation for chronic use. Interventional trials aimed at de-prescribing benzodiazepines define ≥3 months as long-term use.20

Data analysis

Age-standardised prevalence proportions (/100 patients) and incidence rates (/1000 patient–years [PY]) were calculated. For age-standardisation, the Flemish population in Belgium in 2000 was used as the reference population. The following age groups were used: 15–29, 30–44, 45–59, 60–74, and ≥75 years. To analyse the trend in those age-standardised rates, joinpoint regression was used.21 From this model, the annual percentage change (APC) and the average annual percentage change (AAPC) are derived. The APC is calculated for each significant trend from a piecewise log-linear model on the logarithm of the age-standardised rate versus the year. The AAPC represents the average of APC estimates per significant trend weighted by the corresponding number of years in the trend.21

Based on the consensus in the article of Nielen et al,22 a sensitivity analysis was also performed using a contact-free interval of 1 year for the prevalence calculation (see Supplementary Appendix S3, Table S2, and Figure S2). The contact-free interval is defined as the period in which repeated visits with the same registered problem are considered to be part of the same episode of care.22

Trends in comorbidities in the incident anxiety case group were analysed using the Cochran–Armitage and the Jonckheere– Terpstra tests, whereas medication prescriptions in the prevalent anxiety case group was analysed using joinpoint regression. Medication prescriptions in the incident case group and by age group in the prevalent case group can be found in Supplementary Appendix S4 and Figures S3–S5.

Most statistical analysis was done using R (version 4.0.3). Joinpoint regression was done using the Joinpoint Regression Program (version 4.9.0.1) of the US National Cancer Institute.21

RESULTS

Trends in the prevalence and incidence of anxiety

During the study period, 8451 unique patients were identified with anxiety, using a chronic disease assumption. The prevalence of anxiety rose significantly over this period, from 1.1% in 2000 to 4.8% in 2021 (AAPC 6.8%, 95% confidence interval [CI] = 5.3 to 8.4). The APC from 2000 to 2015 was 3.4% (95% CI = 1.8 to 5.1), with a steeper rise of 15.8% (95% CI = 11.6 to 20.2) from 2015 to 2021 (Table 1 and Figure 1).

View this table:
  • View inline
  • View popup
Table 1.

Trends in the age-standardised prevalence and incidence of anxiety in Flanders, Belgium (2000–2021)

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

a) Age-stratified prevalence and b) incidence of anxiety (2000–2021).

The same trend can be seen for the incidence of anxiety. The overall incidence rate in 2000 was 1.1/1000 PY and rose to 9.9/1000 PY in 2021 (AAPC 10.3%, 95% CI = 8.6 to 12.0). The largest increase in incidence was observed from 2014 to 2021, with an APC of 29.4% (95% CI = 25.6 to 33.3) (Table 1 and Figure 1).

The trends in prevalence and incidence for both sexes were similar, with the prevalence in females being almost twice that of males (Table 1). Concurrent increases in prevalence proportions were seen in all age groups, with the highest prevalence figures in the middle-aged groups (aged 30–59 years). The highest increase was in those aged 30–44 years. Incidence rates also increased substantially in all age groups, with the youngest age group contributing the most (Table 1).

When taking P74 and P01 together, both the incidence and prevalence increased (because of the now increased number of cases of patients with anxiety available), but the trends were largely conserved (see Supplementary Appendix S1, Table S1, and Figure S1).

Trends in anxiety comorbidities

The relationship between anxiety and various groups of comorbidities are outlined in Table 2. The mean age at diagnosis showed a significantly positive trend, going from 44.1 to 45.4 years during the study period.

Psychological diagnoses associated significantly with anxiety disorder were depression and personality disorder. Various other somatic conditions were also associated with anxiety, for instance, cardiovascular, metabolic, and pulmonary disease. The average chronic disease count per patient increased significantly during the study period from 1.5 to 2.3 (Table 2).

View this table:
  • View inline
  • View popup
Table 2.

Trends in comorbidities in patients with anxiety in Flanders, Belgium (2000–2021)

Trends in medication prescriptions in patients with anxiety

In the prevalent anxiety case group, the proportion of patients treated with psychoactive medication rose from 25.7% to almost 40% (Figure 2). The increase was statistically significant for the period 2014 to 2021, resulting in an APC of 4.0% (95% CI = 3.0 to 5.1) (data not shown). In the incident anxiety case group, the proportion of patients treated with medication rose from 18.6% to 31.2%. This increase was also statistically significant with an AAPC of 2.0% (95% CI = 0.6 to 3.5).

Figure 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2.

Psychoactive medication prescriptions in prevalent anxiety case group (2000–2021). MAOI = monoamine oxidase inhibitor. NDRI = noradrenaline–dopamine reuptake inhibitor. SNRI = serotonin–noradrenaline reuptake inhibitor. SSRI = selective serotonin reuptake inhibitor. TCA = tricyclic antidepressant.

When looking at patients receiving prescriptions once per year, the proportion was 3.8% in 2000, decreasing to 1.7% in 2021, with a significant AAPC of −4.4% (95% CI = −6.8 to −2.0). However, the proportion of patients receiving prescriptions ≥3 times per year went from 18.6% to 30.7% (AAPC 2.3%, 95% CI = 1.2 to 3.3) (data not shown).

This increase in the overall data is predominantly caused by a larger proportion of the study population being treated with selective serotonin reuptake inhibitors (SSRIs; APC 5.3% from 2014 to 2021, 95% CI = 3.8 to 6.7) whereas the use of anxiolytics tended to fall significantly, but not greatly (AAPC −0.5%, 95% CI = −0.8 to −0.2). Other psychoactive drugs were prescribed much less and their use stagnates or declines slightly, with the notable exception of neuromodulators (such as trazodone): their use more than doubled over the study period (from 4.5% to 10.5%, AAPC 4.0%, 95% CI = 1.2 to 6.9); fluctuating at the beginning of the study period (significant APCs of 20% for 2000–2003 [95% CI = 6.2 to 35.5] and −5.5% [95% CI = −9.3 to −1.6] for 2003 to 2009), their prescription rate steeply increased from 2018 to 2021 (APC 11.3%, 95% CI = 7.4 to 15.3) (data not shown).

Proportionally, females with anxiety were prescribed more psychoactive medication than males (two-tailed t-test: P<0.0001; Figure 3). In both sexes, medication use increased over the study period.

Figure 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 3.

Total prescription volume in prevalent anxiety case group (2000–2021).

When looking at specific age groups, younger age groups were prescribed more medication in the incident case group, whereas older groups were prescribed more in the prevalent case group (see Supplementary Appendix S4 and Figures S3–S5).

DISCUSSION

Summary

This study found that from 2000 to 2021 the prevalence and incidence of anxiety in Flemish primary care increased steeply, but mostly over the past 5 years. The younger age groups seem to be responsible for most of this increase. The number of comorbidities in patients with anxiety rose significantly during the study period. Medication prescription among patients with anxiety also increased, most notably for SSRIs.

Strengths and limitations

The major strength of this study is the inclusion of longitudinal data, reflecting the registration trends of anxiety as they developed during the 22-year study period. Access to prescription and comorbidity data allowed for a balanced and multifaceted view on anxiety as it presents to GPs in Flanders. Given the paucity of real-world data on anxiety in primary care, the authors believe the current study is a valuable addition to the evidence. The study also comes with some limitations. The denominator of the study population can vary because of the fact that patients in Belgium are not registered with a particular GP. Although only 40% of the population go to see one GP only, the Usual Provider Continuity Index still remains acceptable (>75% of consultations with a specific GP for >65% of the Belgian population).23 Data for patients going to a GP outside of the INTEGO network, however, are not included.

The YCG also does not capture the whole practice population, but only the patients who visit at least once a year. It is, however, the most realistic approach in Belgium. The authors do not know whether GPs over- or underdiagnosed anxiety in their patients, and what clinical tools they used to arrive at their diagnosis. Also, there might exist regional variations in coding practice (for example, some practices are more likely to code anxiety as a symptom and not a diagnosis), something which this study did not specifically investigate. Diagnoses detailed as free text were not included in this study.

Many patients with anxiety problems might not go to their GP, leading to an underestimation of the real disease burden. The effect of the COVID-19 pandemic on anxiety was not specifically evaluated. Medication could have been prescribed for other indications than anxiety (for example, SSRIs for depression). The uptake of psychotherapy among patients could not be studied, because it is not registered in the database used.

Comparison with existing literature

Trends in the prevalence and incidence of anxiety.

The recent increase in the registration of anxiety in this study corresponds to the international literature. Although methodologically different, recent increases have been seen in young people across multiple studies in different countries.24–26 This may be because of actual disease burden or an increased acceptance and awareness of mental disorders in general, leading to earlier recognition. Some studies point in the direction of the latter.27,28 Other authors blame the emergence and importance of social media in the lives of young adults.29

From the data in the current study it is unclear whether the increase in the registration of anxiety is actual or perceived. Of note is that the current study used the ICPC-2 code P74, which is a clinical diagnosis. GPs might be hesitant to diagnose a disorder based solely on subclinical symptoms, which is why in some studies there seems to be a recent tendency to code anxiety symptoms rather than diagnoses.25,30 This might also explain why the registered prevalence and incidence of anxiety in the current study are decidedly lower than in other similar studies.14,25,31 Furthermore, as stated in a previous article by the same team, this increase might also partly be brought about by a registration effect.19 This is a form of bias: anxiety could be more likely to be registered now than earlier in the study period for various reasons (for example, more diligent and more frequent coding and registration).

The final 2 years of the study period were marked by the ongoing COVID-19 pandemic, during which mental health disorders, particularly anxiety, seemed on the increase.32,33 The current results show an increasing incidence and prevalence for anxiety in those years, but a COVID-19-specific analysis was not performed. The Belgian public health institute Sciensano found that self-reported mental health in Belgium fluctuated during the pandemic depending on the specific phase (restrictions versus relaxation of measures).34 It is conceivable that many patients did not seek help for anxiety during the first waves of the pandemic, making figures in the current study likely underestimates.

For the calculations in the current study it was assumed anxiety disorder was chronic, a stance shared by other authors as well.35 A sensitivity analysis was also conducted using a 1-year contact-free interval and the conclusions remain robust. Using this much shorter period a lower prevalence was arrived at, which is mathematically evident (see Supplementary Table S2). The trends were largely conserved (see Supplementary Figure S2).

Trends in comorbidities.

The most salient finding here was the fact that the average number of chronic diseases for each patient increased significantly. This is in line with previous findings from the same author group concerning depression.19 Patients presenting with mental health disorders in primary care tend to become more complex over time. However, it is also possible that GPs’ awareness of anxiety might be increased specifically in patients with comorbidities.

In any case, a multidisciplinary approach to these patients is warranted. The GP is perfectly placed to coordinate care between first- and second-line health professionals. In an analysis by Martín-Merino et al, patients with anxiety were more likely to misuse alcohol, have chronic obstructive pulmonary disease (COPD) or cancer, or be admitted to hospital or referred for another health problem.31 In the current sample, there was no concurrent trend for alcohol misuse, although anxiety was significantly associated with a number of somatic conditions, such as asthma and COPD, cardiovascular problems, and cancer.

The strong association with depression is not new and controversy exists as to whether the presence of anxiety might predict the onset of depression or vice versa,15 or even whether they constitute different syndromes altogether.13,14

Trends in medication.

In the prevalent anxiety case group, the relative amount of psychoactive medication prescriptions increased, albeit only significantly so for the final 6 years. This is consistent with a study by Noordam et al, who also found an increase in prescriptions for mental health disorders.36 Female patients with anxiety in the current study received proportionally more prescriptions than males, which was the case in the Noordam et al, study as well.36 Chronic use, which was defined in the current study as ≥3 prescriptions per year, increased significantly, whereas occasional use (one prescription per year) declined. For benzodiazepines specifically, the definition of chronic use in international literature tends to vary and is rarely uniform across studies.37

The most frequently prescribed medications in the current study were SSRIs, anxiolytics, and hypnotics. Initially, anxiolytics were prescribed more than SSRIs but the two switched positions around 2017. SSRIs are also a first-line treatment for depression, and the important comorbidity between anxiety and depression might also have been a driving force. According to the National Institute for Health and Care Excellence guidelines, the recommended treatment for anxiety disorder, besides psychotherapy, is SSRIs followed by serotonin–noradrenaline reuptake inhibitors.38 The use of benzodiazepines is explicitly discouraged, except for short-term crisis management. This might also have contributed to the prescription trends seen in the data in the current study.

Another interesting trend is the recent steep increase of prescriptions (such as trazodone) in the neuromodulator group.

Implications for practice

In this registry-based study, a significantly increasing prevalence and incidence of physician-registered anxiety was found, particularly in the past 5 years and in the youngest age groups. Patients with anxiety tend to become more complex or patients with multimorbidity are at least more easily diagnosed with anxiety. A holistic, multidisciplinary primary care approach for these patients, with the GP taking on a coordinating role, is important.

Without knowing about referrals for psychotherapy, treatment for anxiety in Belgian primary care seems to be heavily dependent on medication. In any case, there has been more adherence to official guidelines recently with the use of SSRIs increasing and the use of anxiolytics declining.

Notes

Funding

This work was supported by a research project from the Research Foundation Flanders (reference: G0B4820N).

Ethical approval

The INTEGO procedures are approved by the ethical review board of the KU Leuven Faculty of Medicine (reference: ML 1723) and by the Belgian Privacy Commission (reference: SCSZG/13/079).

Data

The dataset can be made available subsequent to further de-identification on reasonable request to the corresponding author.

Provenance

Freely submitted; externally peer reviewed.

Competing interests

The authors have declared no competing interests.

Discuss this article

Contribute and read comments about this article: bjgp.org/letters

  • Received April 14, 2022.
  • Revision requested June 26, 2022.
  • Accepted October 24, 2022.
  • © The Authors
http://creativecommons.org/licenses/by/4.0/

This article is Open Access: CC BY 4.0 licence (http://creativecommons.org/licences/by/4.0/).

REFERENCES

  1. 1.↵
    1. American Psychiatric Association (APA)
    (2013) Diagnostic and Statistical Manual of Mental Disorders (APA, Washington, DC), 5th edn.
  2. 2.↵
    1. World Health Organization (WHO)
    (2017) Depression and other common mental disorders: global health estimates (WHO, Geneva).
  3. 3.↵
    1. Yang X,
    2. Fang Y,
    3. Chen H,
    4. et al.
    (2021) Global, regional and national burden of anxiety disorders from 1990 to 2019: results from the Global Burden of Disease Study 2019. Epidemiol Psychiatr Sci 30, e36.
    OpenUrl
  4. 4.↵
    1. Vos T,
    2. Lim SS,
    3. Abbafati C,
    4. et al.
    (2020) GBD 2019 Diseases and Injuries Collaborators. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396, 10258, 1204–1222.
    OpenUrlCrossRefPubMed
  5. 5.↵
    1. Kessler RC,
    2. Üstün TB
    (2006) The World Mental Health (WMH) survey initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). Int J Methods Psychiatr Res 13, 2, 93–121.
    OpenUrl
  6. 6.↵
    1. Wittchen HU,
    2. Kessler RC,
    3. Beesdo K,
    4. et al.
    (2002) Generalized anxiety and depression in primary care: prevalence, recognition, and management. J Clin Psychiatry 63, Suppl 8, 24–34.
    OpenUrl
  7. 7.↵
    1. Gisle L,
    2. Drieskens S,
    3. Demarest S,
    4. Heyden J
    (2018) Mental health: health survey 2018 [Article in Dutch] (Sciensano, Brussels).
  8. 8.↵
    1. Spitzer RL,
    2. Kroenke K,
    3. Williams JBW,
    4. Löwe B
    (2006) A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med 166, 10, 1092–1097.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. O’Donnell S,
    2. Vanderloo S,
    3. McRae L,
    4. et al.
    (2016) Comparison of the estimated prevalence of mood and/or anxiety disorders in Canada between self-report and administrative data. Epidemiol Psychiatr Sci 25, 4, 360–369.
    OpenUrlPubMed
  10. 10.↵
    1. Booth RW,
    2. Sharma D,
    3. Leader TI
    (2016) The age of anxiety? It depends where you look: changes in STAI trait anxiety, 1970–2010. Soc Psychiatry Psychiatr Epidemiol 51, 2, 193–202.
    OpenUrl
  11. 11.↵
    1. Murphy JM,
    2. Horton NJ,
    3. Laird NM,
    4. et al.
    (2004) Anxiety and depression: a 40-year perspective on relationships regarding prevalence, distribution, and comorbidity. Acta Psychiatr Scand 109, 5, 355–375.
    OpenUrlCrossRefPubMed
  12. 12.↵
    1. Maser JD,
    2. Cloninger CR
    (1990) Comorbidity of mood and anxiety disorders (APA, Washington, DC).
  13. 13.↵
    1. Breier A,
    2. Charney DS,
    3. Heninger GR
    (1985) The diagnostic validity of anxiety disorders and their relationship to depressive illness. Am J Psychiatry 142, 7, 787–797.
    OpenUrlPubMed
  14. 14.↵
    1. Roca M,
    2. Gili M,
    3. Garcia-Garcia M,
    4. et al.
    (2009) Prevalence and comorbidity of common mental disorders in primary care. J Affect Disord 119, 1–3, 52–58.
    OpenUrlCrossRefPubMed
  15. 15.↵
    1. Kessler RC,
    2. Gruber M,
    3. Hettema JM,
    4. et al.
    (2008) Comorbid major depression and generalized anxiety disorders in the national comorbidity survey follow-up. Psychol Med 38, 3, 365–374.
    OpenUrlCrossRefPubMed
  16. 16.↵
    1. Truyers C,
    2. Goderis G,
    3. Dewitte H,
    4. et al.
    (2014) The Intego database: background, methods and basic results of a Flemish general practice-based continuous morbidity registration project. BMC Med Inf Decis Mak 14, 48.
    OpenUrl
  17. 17.↵
    1. Bartholomeeusen S,
    2. Kim CY,
    3. Mertens R,
    4. et al.
    (2005) The denominator in general practice, a new approach from the INTEGO database. Fam Pract 22, 4, 442–447.
    OpenUrlCrossRefPubMed
  18. 18.↵
    1. Bandelow B,
    2. Michaelis S
    (2015) Epidemiology of anxiety disorders in the 21st century. Dialogues Clin Neurosci 17, 3, 327–335.
    OpenUrlCrossRefPubMed
  19. 19.↵
    1. Walrave R,
    2. Beerten SG,
    3. Mamouris P,
    4. et al.
    (2022) Trends in the epidemiology of depression and comorbidities from 2000 to 2019 in Belgium. BMC Prim Care 23, 1, 163.
    OpenUrl
  20. 20.↵
    1. Lynch T,
    2. Ryan C,
    3. Hughes CM,
    4. et al.
    (2020) Brief interventions targeting long-term benzodiazepine and Z-drug use in primary care: a systematic review and meta-analysis. Addict Abingdon Engl 115, 9, 1618–1639.
    OpenUrl
  21. 21.↵
    1. Kim HJ,
    2. Fay MP,
    3. Feuer EJ,
    4. Midthune DN
    (2000) Permutation tests for joinpoint regression with applications to cancer rates. Stat Med 19, 3, 335–351.
    OpenUrlCrossRefPubMed
  22. 22.↵
    1. Nielen MMJ,
    2. Spronk I,
    3. Davids R,
    4. et al.
    (2019) Estimating morbidity rates based on routine electronic health records in primary care: observational study. JMIR Med Inform 7, 3, e11929.
    OpenUrl
  23. 23.↵
    1. Devos C,
    2. Cordon A,
    3. Lefèvre M,
    4. et al.
    (2019) Performance of the Belgian health system — report 2019 (Belgian Health Care Knowledge Centre, Brussels).
  24. 24.↵
    1. Slee A,
    2. Nazareth I,
    3. Freemantle N,
    4. Horsfall L
    (2021) Trends in generalised anxiety disorders and symptoms in primary care: UK population-based cohort study. Br J Psychiatry 218, 3, 158–164.
    OpenUrl
  25. 25.↵
    1. Archer C,
    2. Turner K,
    3. Kessler D,
    4. et al.
    (2022) Trends in the recording of anxiety in UK primary care: a multi-method approach. Soc Psychiatry Psychiatr Epidemiol 57, 2, 375–386.
    OpenUrl
  26. 26.↵
    1. Goodwin RD,
    2. Weinberger AH,
    3. Kim JH,
    4. et al.
    (2020) Trends in anxiety among adults in the United States, 2008–2018: rapid increases among young adults. J Psychiatr Res 130, 441–446.
    OpenUrl
  27. 27.↵
    1. Phillips SP,
    2. Yu J
    (2021) Is anxiety/depression increasing among 5–25 year-olds? A cross-sectional prevalence study in Ontario, Canada, 1997-2017. J Affect Disord 282, 141–146.
    OpenUrl
  28. 28.↵
    1. Baxter AJ,
    2. Scott KM,
    3. Ferrari AJ,
    4. et al.
    (2014) Challenging the myth of an “epidemic” of common mental disorders: trends in the global prevalence of anxiety and depression between 1990 and 2010. Depress Anxiety 31, 6, 506–516.
    OpenUrlCrossRefPubMed
  29. 29.↵
    1. Vannucci A,
    2. Flannery KM,
    3. Ohannessian CM
    (2017) Social media use and anxiety in emerging adults. J Affect Disord 207, 163–166.
    OpenUrlCrossRefPubMed
  30. 30.↵
    1. Walters K,
    2. Rait G,
    3. Griffin M,
    4. et al.
    (2012) Recent trends in the incidence of anxiety diagnoses and symptoms in primary care. PLoS One 7, 8, e41670.
    OpenUrlCrossRefPubMed
  31. 31.↵
    1. Martín-Merino E,
    2. Ruigómez A,
    3. Wallander MA,
    4. et al.
    (2010) Prevalence, incidence, morbidity and treatment patterns in a cohort of patients diagnosed with anxiety in UK primary care. Fam Pract 27, 1, 9–16.
    OpenUrlCrossRefPubMed
  32. 32.↵
    1. Hampshire A,
    2. Trender W,
    3. Grant JE,
    4. et al.
    (2022) Item-level analysis of mental health symptom trajectories during the COVID-19 pandemic in the UK: associations with age, sex and pre-existing psychiatric conditions. Compr Psychiatry 114, 152298.
    OpenUrl
  33. 33.↵
    1. Chutiyami M,
    2. Cheong AMY,
    3. Salihu D,
    4. et al.
    (2021) COVID-19 Pandemic and overall mental health of healthcare professionals globally: a meta-review of systematic reviews. Front Psychiatry 12, 804525.
    OpenUrl
  34. 34.↵
    1. Demarest S,
    2. Berete F,
    3. Braekman E,
    4. et al.
    (2022) Ninth COVID-19 health survey. First results. [Article in Dutch] (Sciensa, Brussels).
  35. 35.↵
    1. Bandelow B,
    2. Michaelis S
    (2015) Epidemiology of anxiety disorders in the 21st century. Dialogues Clin Neurosci 17, 3, 327–335.
    OpenUrlCrossRefPubMed
  36. 36.↵
    1. Noordam R,
    2. Aarts N,
    3. Verhamme KM,
    4. et al.
    (2015) Prescription and indication trends of antidepressant drugs in the Netherlands between 1996 and 2012: a dynamic population-based study. Eur J Clin Pharmacol 71, 3, 369–375.
    OpenUrlCrossRefPubMed
  37. 37.↵
    1. Kurko TAT,
    2. Saastamoinen LK,
    3. Tähkäpää S,
    4. et al.
    (2015) Long-term use of benzodiazepines: definitions, prevalence and usage patterns — a systematic review of register-based studies. Eur Psychiatry J Assoc Eur Psychiatr 30, 8, 1037–1047.
    OpenUrl
  38. 38.↵
    1. National Institute for Health and Care Excellence
    (2020) Generalised anxiety disorder and panic disorder in adults: management CG113, https://www.nice.org.uk/guidance/cg113 (accessed 23 Feb 2023).
Back to top
Previous ArticleNext Article

In this issue

British Journal of General Practice: 73 (731)
British Journal of General Practice
Vol. 73, Issue 731
June 2023
  • Table of Contents
  • Index by author
Download PDF
Download PowerPoint
Email Article

Thank you for recommending British Journal of General Practice.

NOTE: We only request your email address so that the person to whom you are recommending the page knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Trends in the registration of anxiety in Belgian primary care from 2000 to 2021: a registry-based study
(Your Name) has forwarded a page to you from British Journal of General Practice
(Your Name) thought you would like to see this page from British Journal of General Practice.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Trends in the registration of anxiety in Belgian primary care from 2000 to 2021: a registry-based study
Simon Gabriël Beerten, Kristien Coteur, Pavlos Mamouris, Marc Van Nuland, Gijs Van Pottelbergh, Lidia Casas, Bert Vaes
British Journal of General Practice 2023; 73 (731): e460-e467. DOI: 10.3399/BJGP.2022.0196

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Trends in the registration of anxiety in Belgian primary care from 2000 to 2021: a registry-based study
Simon Gabriël Beerten, Kristien Coteur, Pavlos Mamouris, Marc Van Nuland, Gijs Van Pottelbergh, Lidia Casas, Bert Vaes
British Journal of General Practice 2023; 73 (731): e460-e467. DOI: 10.3399/BJGP.2022.0196
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
  • Mendeley logo Mendeley

Jump to section

  • Top
  • Article
    • Abstract
    • INTRODUCTION
    • METHOD
    • RESULTS
    • DISCUSSION
    • Notes
    • REFERENCES
  • Figures & Data
  • Info
  • eLetters
  • PDF

Keywords

  • anxiety
  • Belgium
  • epidemiology
  • general practice
  • primary care
  • comorbidity

More in this TOC Section

  • General practice as a place to receive help for domestic abuse during the COVID-19 pandemic: a qualitative interview study in England and Wales
  • Understanding primary care perspectives on supporting women’s health needs: a qualitative study
  • Trends in consultations and prescribing for rheumatic and musculoskeletal diseases: an electronic primary care records study
Show more Research

Related Articles

Cited By...

Intended for Healthcare Professionals

BJGP Life

BJGP Open

 

Tweets by @BJGPjournal

 
 

British Journal of General Practice

NAVIGATE

  • Home
  • Current Issue
  • All Issues
  • Online First
  • Authors & reviewers

RCGP

  • BJGP for RCGP members
  • BJGP Open
  • RCGP eLearning
  • InnovAiT Journal
  • Jobs and careers

MY ACCOUNT

  • RCGP members' login
  • Subscriber login
  • Activate subscription
  • Terms and conditions

NEWS AND UPDATES

  • About BJGP
  • Alerts
  • RSS feeds
  • Facebook
  • Twitter

AUTHORS & REVIEWERS

  • Submit an article
  • Writing for BJGP: research
  • Writing for BJGP: other sections
  • BJGP editorial process & policies
  • BJGP ethical guidelines
  • Peer review for BJGP

CUSTOMER SERVICES

  • Advertising
  • Contact subscription agent
  • Copyright
  • Librarian information

CONTRIBUTE

  • BJGP Life
  • eLetters
  • Feedback

CONTACT US

BJGP Journal Office
RCGP
30 Euston Square
London NW1 2FB
Tel: +44 (0)20 3188 7400
Email: journal@rcgp.org.uk

British Journal of General Practice is an editorially-independent publication of the Royal College of General Practitioners
© 2023 British Journal of General Practice

Print ISSN: 0960-1643
Online ISSN: 1478-5242