Skip to main content

Bronchial asthma control, quality of life, and psychiatric disorders vicious cycle: Asyut society point of view

Abstract

Background

Poorly controlled bronchial asthma limits patients’ quality of life (QOL), the condition which may potentiate the development of psychiatric disorders. The aim of this study was the assessment of anxiety and depression in bronchial asthma patients, and their interrelation with both level of asthma control and quality of life in our society.

Results

This study included 102 bronchial asthma patients, and 50 healthy control individuals. Patients had poorer QOL, and higher anxiety and depression scores compared to healthy control, moreover these scores were higher in uncontrolled asthma patients compared to controlled group. Poor QOL, frequent hospital admissions, and poor asthma control were the predictors for psychiatric disorders.

Conclusion

Depression and anxiety are frequently encountered in patients with bronchial asthma in our society; poor symptom control, poor QOL, and frequent hospital admissions are the main predictors for these psychiatric disorders.

Introduction

Bronchial asthma is one of the most common non-communicable chronic airway diseases, about 339 million people were diagnosed as bronchial asthma in 2016 worldwide, with 417,918 deaths related to bronchial asthma according to WHO report 2016 [1, 2]. According to GINA, 2020 [3] bronchial asthma patients are classified into three groups based on control of asthma symptoms (controlled, partially controlled, and uncontrolled), and despite the availability of wide range of medication still large percentage of asthmatic patients are involved in uncontrolled group [4]. It is documented that poor asthma control has a negative feedback on quality of life (QOL) in patients with bronchial asthma, where studies reported female sex, increasing body weight, older age, lower level of education, familial history of asthma, poor asthma control are significant predictors of impaired quality of life in these patients [5, 6]. The relationship between asthma symptom control, QOL, and psychiatric disorders (e.g., anxiety, and depression) represent a vicious cycle, where disturbance in any of them will have a negative feedback on the other two factors. Studies documented association between psychiatric disorders and asthma symptoms [7]. Patients with anxiety or depression may have exaggerated response to bronchial asthma symptoms; on the other point of view, asthmatic patients usually have difficulty in perceiving bronchial asthma symptoms with the end result of impaired patient’s deal with the action plan of asthma [8]. This process will lead to poor control of asthma, and poor QOL.

Aim of the study

The aim of the current study was to assess presence of anxiety and depression in bronchial asthma patients in our society, and their interrelation with both level of asthma control and quality of life.

Methodology

One hundred and two bronchial asthma adult (> 18 years) patients, and 50 healthy non-smoker individuals (matching in age and sex)were included in this cross sectional study. Diagnosis of bronchial asthma and also patients' classification into controlled, partially controlled and uncontrolled asthma symptoms were based on criteria of GINA, 2019 [9].

Bronchial asthma patients who had co morbidities (e.g., diabetes mellitus, systemic hypertension, cardiac disease, or chronic liver or renal disease, others) were excluded from this study. Also the possibility of associated obstructive sleep apnea was excluded by history, in addition to the application of Stop Bang questionnaire [10].

Quality of life of both bronchial asthma patients, and control group were assessed using Arabic version of respiratory St. George’s questionnaire [11].

Screening for psychiatric disorders (anxiety, and depression) was done using

Hospital Anxiety and Depression scale (HAD-A, HAD-D) [12]:

This is a questionnaire which includes 14 questions; seven for assessment of anxiety, and the remaining group for depression assessment. Each question scaled from 0 to 3 (where 0 is the best, and 3 is the worst), the total score range is 21, where score higher than 8 correlate with psychiatric illness.

Beck Depression Inventory (BDI) scale [13]:

It is a 21-item questionnaire used for depression assessment in both psychiatric and normal individuals each item is ranked from 0 to 3 scales.

The Hamilton Anxiety Rating Scale (HAM-A/HARS) [14]:

It measures both psychic and somatic anxiety through 14 items; each item is scaled from 0 to 4. Scale < 17 indicate mild severity, 18 to 24 mild to moderate severity and a scale of 25 to 50 indicates a moderate to severe case.

Statistical analysis

Data were verified, coded by the researcher and analyzed using IBM-SPSS 24.0 (IBM-SPSS Inc., Chicago, IL, USA) [15]. Descriptive statistics: Means, standard deviations, and percentages were calculated. Test of significances: chi-square/Fisher’s exact test was used to compare the difference in distribution of frequencies among different groups. Student t-test analysis was carried out to compare the means of dichotomous data that follow the normal distribution. For continuous variables with more than two categories, one-way ANOVA test was calculated to test the mean differences between groups and repeated measure ANOVA (RM-ANOVA) test was calculated to test the mean differences of the data that follow normal distribution and had repeated measures (between groups, within groups and overall difference), post-hoc test was calculated using Bonferroni corrections for pairwise comparisons between the two study groups. A significant p value was considered when it is equal or less than 0.05. Significant variables from the univariate analysis were entered in the multivariable logistic regression model to test the independent predictors of anxiety and depression in patients with bronchial asthma using odds ratio (OR), 95% confidence interval (CI). Receiver operating characteristics (ROC) curve was used to assess different predictors. Cutoff points were chosen according to the highest sensitivity and specificity. Area under curve (AUC) was used to assess the accuracy and reported a 95% confidence interval and p value.

Ethical considerations

This study was approved based on Faculty of Medicine, Assiut University Institutional review board (IRB) of the prior to initiating the study (IRB no 17100089). A written consent form was assigned from each participant. This consent was clear and explained the aim of the study. Participants were included in this study without any incentives or rewards. The study was matched with the Declaration of Helsinki.

Results

One hundred and two bronchial asthma patients and 50 healthy individuals were included in the current study. There was no difference between both regarding age, and sex, body mass index of patients was 24.5 ± 5.01, with no significant difference compared to control group. Patients with bronchial asthma had significantly poorer quality of life (HRQL), higher anxiety and depression scales compared to healthy control subjects (Table 1). Only 22.5% of bronchial asthma patients were well controlled according to GINA [9] guideline criteria, while 40.8% was uncontrolled (Fig. 1). All components of SGRQ except symptom component were significantly worst in partially controlled and uncontrolled asthma patients compared to well-controlled one (Table 2). As shown in Table 3, poor control of asthma symptoms was associated with increased frequency of both anxiety and depression. By performing univariate regression analysis five variables were significantly associated with development of anxiety and depression in bronchial asthma patients, these variables were; increased frequency of hospital admission, poorer symptom control, lower FEV1, FVC, and higher total SQRG score. Meanwhile multivariate regression analysis documented that only increased frequency of hospital admission, poorer symptom control, and higher total SQRG score were the most significant variables that can predict presence of anxiety and depression in bronchial asthma patients Table 4. As shown in Fig. 2 significant positive correlations were observed between (disease duration, and total SGRQ score) and scales of both depression and anxiety except for BDI scale. As demonstrated from ROC curve (Fig. 3) total SGRQ ≥ 55.04 had sensitivity 90%, specificity 63.2%, with AUC 81.84 in predicting anxiety in patients with bronchial asthma, while total SGRQ ≥ 61.1 had sensitivity 76.67%, specificity 78.95%, with AUC 76.05 in predicting depression in these patients.

Table 1 Baseline data of the studied patients
Fig. 1
figure 1

Classification of bronchial asthma patients according to level of asthma control

Table 2 Relationship between SGRQ and asthma symptom control categories
Table 3 Relationship between anxiety/depression and asthma symptom control
Table 4 Predictors of anxiety/depression among the asthmatic patients: logistic regression model
Fig. 2
figure 2

Correlation between (disease duration, and SGRQ score) and (anxiety and depression scales) in bronchial asthma patients

Fig. 3
figure 3

Sensitivity and specificity of SGRQ in predicting anxiety and depression in bronchial asthma patients

Discussion

Association between chronic diseases and psychiatric disorders (e.g., anxiety, and/or depression) has significant drawbacks on general health compared to either disease alone [16]. This association leads to poor disease control secondary to noncompliance with medication, with subsequent impaired QOL, with the end result of more anxiety, and depression [16]. The rationales of the current study were to assess both QOL and psychiatric disorders in bronchial asthma patients compared to healthy control subjects, assess relationship between level of bronchial asthma control and QOL, and impact of impaired QOL on developing psychiatric disorders. Well-controlled bronchial asthma was reported in only 22.5% of the current study cases, this result reflects poor compliance with medication, where there is still a large percentage of population in our community refusing the inhaler medications. In the study of Woledesenbet et al. (2018) [17] only 26.9% of asthmatic patients were well controlled, the result which is near to the present study. This study reported that bronchial asthma patients have worst quality of life, and higher depression and anxiety scores as compared to healthy control. The same observation reported in uncontrolled asthma patients compared to well-controlled group. Studies documented that poorly controlled asthma negatively affects activities of daily life, affects quality of sleep, and leads to social activity deprivation, with subsequent development of anxiety and depression [18, 19]. Ali et al. 2020 [20] studied quality of life in asthmatic individual, and documented that failure to control asthma is one of the risk factors related to poor QOL, the result which comes in agreement with this study. Also, Katarzyna Lomper et al. 2016 [21] studied the impact of depression and anxiety on bronchial asthma personnel, they observed poor QOL in individuals with uncontrolled asthma symptoms, and lower mental and physical health scores. According to multivariate regression analysis in this study, increased frequency of hospital admissions, poor control of asthma symptoms, and increased SGRQ scores were the main predictors for developing anxiety and depression in bronchial asthma patients. SGRQ score ≥ 55.04 had sensitivity 90% and specificity 63.2%, with AUC 81.84 in predicting anxiety, while a value ≥ 61.1 had sensitivity 76.67% and specificity 78.95%, with AUC 76.05 in predicting depression in these patients. Repeated bouts of dyspnea that is reported with asthma attacks lead to stress, bad mood, emotional disorders, and anxiety [21]. It is well known that hyperventilation related to anxiety induces bronchoconstriction, release of neuropeptides, and cytokines, which results in airway inflammation, and again initiation of asthmatic attack [22, 23]. Based on hygiene theory, microbiota change as a result of low level of bacteria exposure leads to marked increase of response of immune system, the process which is risky for developing both psychiatric and allergic disorders [24]. The theory suggests the same pathophysiology of both depression and bronchial asthma. Several studies reported association, and correlations between QOL of patients with bronchial asthma, and presence of both anxiety and depression [25, 26]. To the best of our knowledge, this is the first study that addresses a cut-off point for SGRQ to predict development of anxiety and depression in bronchial asthma patients.

The recommendations of the current study are regular assessment of quality of life of bronchial asthma patients, and regular screening for presence of psychiatric disorders especially in patients with uncontrolled asthma, and higher SGRQ score.

Conclusion

Depression and anxiety are frequently encountered in patients with bronchial asthma in our society, poor symptom control, poor QOL, and frequent hospital admissions are the main predictors for these psychiatric disorders.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

QOL:

Quality of life

WHO:

World Health Organization

GINA Global:

Initiative for asthma

SGRQ:

St. George’s Respiratory Questionnaire

HADS-A, HADS-D:

Hospital Anxiety and Depression scale

BDI:

Beck Depression Inventory scale

HAM-A/HARS:

The Hamilton Anxiety Rating Scale

CI:

Confidence interval

ROC curve:

Receiver operating characteristics

AUC:

Area under the curve

BMI:

Body mass index

References

  1. Vos T, Abajobir AA, Abate KH, Abbafati C, Abbas KM, Abd-Allah F, Abdulkader RS, Abdulle AM, Abebo TA, Abera SF (2017) Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet. 390(10100):1211–1259

    Article  Google Scholar 

  2. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:1736–1788

  3. “Global Initiative for Asthma - Global Initiative for Asthma.” 30 Sept. 2020. Web. 03 Oct. 2020.

  4. Çoban H, Ediger D (2018) Control of asthma, quality of life, anxiety and depression symptoms among Turkish patients with asthma. Electron J Gen Med 15(5):em71

    Article  Google Scholar 

  5. Motaghi-Nejad M, Shakerinejad G, Cheraghi M, Tavakkol H, Saki A (2015) Quality of life in asthmatic patients. Int J Bioassays. 4:3757–3762 10.1.1.1008.2477 10

    Google Scholar 

  6. Gonzalez-Barcala F-J, de la Fuente-Cid R, Tafalla M, Nuevo J, Caamaño-Isorna F (2012) Factors associated with health-related quality of life in adults with asthma. A cross-sectional study. Multidiscip Respir Med 7:32. https://doi.org/10.1186/2049-6958-7-32

    Article  PubMed  PubMed Central  Google Scholar 

  7. Centanni S, Di Marco F, Castagna F, Boveri B, CasanovaF PA (2000) Psychological issues in the treatment ofasthmatic patients. Respir Med. 94(8):742–749

    Article  CAS  Google Scholar 

  8. Kuehn BM (2008) Asthma linked to psychiatric disorders. JAMA. 299(2):158–160

    CAS  PubMed  Google Scholar 

  9. -Global Initiative for Asthma. GINA Guidelines. Global Strategy for AsthmaManagement and Prevention. 2019.

    Google Scholar 

  10. Chung F, Yegneswaran B, Liao P et al (2008) STOP questionnaire: a tool to screen patients for obstructive sleep apnea. Anesthesiology. 108(5):812–821

    Article  Google Scholar 

  11. Metwally M (2004) Validity and reliability of the first Arabic version of St. George's respiratory questionnaire after adaptation to a completely different language and culture. Eur Respir J 24(Suppl 48):142s

    Google Scholar 

  12. Terkawi AS, Tsang S, AlKahtani GJ, Al-Mousa SH, Al Musaed S, AlZoraigi US, Alasfar EM, Doais KS, Abdulrahman A, Altirkawi KA (2017) Development and validation of Arabic version of the hospital anxiety and depression scale. Saudi J Anaest 11(Suppl 1):S11

    Article  Google Scholar 

  13. Jackson-Koku G (2016) Beck depression inventory. Occup Med 66(2):174–175

    Article  Google Scholar 

  14. Hamilton M (1959) The assessment of anxiety states by rating. Br J Med Psychol 32(1):50–55

    Article  CAS  Google Scholar 

  15. IBM_SPSS (2016) Statistical Package for Social Science. Ver.24. Standard version. Copyright © SPSS Inc, NY, USA

    Google Scholar 

  16. Dursun AB, AyşenazÖzcan ÇT (2015) The Comparison of Anxiety and Depression Levels in Asthma and COPD Patients. J Lung Pulm Respir Res 2(2):00038. https://doi.org/10.15406/jlprr.2015.02.00038

    Article  Google Scholar 

  17. Woledesenbet MA, Shumet Mekonen S, Sori LM, Abegaz TM (2018) Epidemiology of Depression and Associated Factors among Asthma Patients in Addis Ababa, Ethiopia. Psychiatry J 2018:5934872. Published 2018 Aug 26. https://doi.org/10.1155/2018/5934872

    Article  PubMed  PubMed Central  Google Scholar 

  18. Wittchen HU, Jacobi F, Rehm J, Gustavsson A, Svensson M et al (2011) The size and the burden of mental disorders and other disorders of the brain in Europe 2010. Eur Neuropsychopharmacol 21(9):655–679

    Article  CAS  Google Scholar 

  19. Bratek A, Zawada K, Beil-Gawelcyzk J, Beil S, Sozanska E et al (2015) Depressiveness, symptoms of anxiety and cognitive dysfunctions in patients with asthma and chronic obstructive pulmonary disease (COPD): possible associations with inflammation markers: a pilot study. J Neural Transm (Vienna) 122, Suppl 1: S83–S9

  20. Ali R, Ahmed N, Salman M et al (2020) Assessment of Quality of Life in Bronchial Asthma Patients. Cureus. 12(10):e10845. https://doi.org/10.7759/cureus.10845

    Article  PubMed  PubMed Central  Google Scholar 

  21. Lomper K, Chudiak A, Uchmanowicz I, Rosińczuk J, Jankowska-Polanska B (2016) Effects of depression and anxiety on asthma-related quality of life. Pneumonol Alergol Pol. 84(4):212–221. https://doi.org/10.5603/PiAP.2016.0026 PMID: 27435347

    Article  PubMed  Google Scholar 

  22. Ritz T, Meuret AE, Trueba AF, Fritzsche A, von Leupoldt A (2013) Psychosocial factors and behavioral medicine interventions in asthma. J Consult Clin Psychol 81(2):231–250 Available from: https://doi.org/10.1037%2Fa0030187

    Article  Google Scholar 

  23. Theoharides TC, Enakuaa S, Sismanopoulos N, Asadi S, Papadimas EC, Angelidou A, Alysandratos K (2012) Contribution of stress to asthma worsening through mast cell activation. Ann Allergy Asthma Immunol. 109(1):14–19 Available from: https://doi.org/10.1016%2Fj.anai.2012.03.003

    Article  Google Scholar 

  24. Gareau M (2014) The microbiota- gut-brain axis in health and cognitive function. First. In: Lyte M, Cyran J (eds) Advances in Experimental Medicine and Biology. Springer, New York, pp 357–371 Available from: http://download.springer.com.ezp.lib.unimelb.edu.au/static/pdf

    Google Scholar 

  25. Van Lieshouta RJ, MacQueenb GM (2012) Relations between asthma and psychological distress: an old idea revisted. In: Bienenstock J (ed) Allergy and the Nervous System. Chem Immunol Allergy, vol 98. Karger, Basel, pp 1–13

    Chapter  Google Scholar 

  26. Urrutia I, Aguirre U, Pascual S et al (2012) Impact of anxiety and depression on disease control and quality of life in asthma patients. J Asthma 49:201–208

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank all patients who participated in this study for their cooperation.

Clinical trial number

Not applicable. This study is an observational study.

Funding

There was no conflict of interest.

Author information

Authors and Affiliations

Authors

Contributions

MME selected the research and help in writing. FAM collected patient’s data and participated in writing manuscript. SHS and RME participated in data analysis, statistics, writing, and publication. All authors have read and approved the manuscript, and ensure that this is the case.

Corresponding author

Correspondence to Samiaa Hamdy Sadek.

Ethics declarations

Ethics approval and consent to participate

The study design was approved by the Scientific Ethics Committee of Faculty of Medicine of Assiut University (IRB no. 17100089). After meeting inclusion criteria, informed consent is obtained from surrogate decision maker before enrollment.

Consent for publication

Not applicable. There is no identifying images or other personal or clinical details of participants that compromise anonymity.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sadek, S.H., El-kholy, M.M., Mohammed, F.A. et al. Bronchial asthma control, quality of life, and psychiatric disorders vicious cycle: Asyut society point of view. Egypt J Bronchol 16, 2 (2022). https://doi.org/10.1186/s43168-021-00107-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s43168-021-00107-5

Keywords