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Answers to complex problems require comprehensive and accurate data

Published online by Cambridge University Press:  29 May 2020

Martin K. Rimvall*
Affiliation:
Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Denmark Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Hanieh Meteran
Affiliation:
Competence Centre for Transcultural Psychiatry, Mental Health Services, Ballerup, Copenhagen, Denmark
Howraman Meteran
Affiliation:
Department of Internal Medicine, Section of Respiratory Medicine, Herlev and Gentofte Hospital, Hellerup, Denmark Department of Immunology and Microbiology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
*
Address for correspondence: Martin K. Rimvall, Child and Adolescent Mental Health Center, Mental Health Services, Capital Region of Denmark, Denmark. Email: martin.rimvall@regionh.dk
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Abstract

Type
Letter to the Editor
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2020

Dear Editor,

In a recent article by Ospina et al., the authors explore interesting associations between adverse childhood experiences (ACE) and development of asthma reported in adulthood. Reference Ospina, Serrano-Lomelin, Amjad, Hicks and Giesbrecht1 The study replicates findings from a vast evidence base: an authoritative meta-analysis that included data from more than 250,000 individuals established that ACE were associated with detrimental outcomes of somatic illness across virtually all organ-systems, including the respiratory system. Reference Hughes2 The strong association between ACE and respiratory disease is consistent between the current study and the meta-analysis; however, the etiology behind the association is multifaceted and largely unknown. The authors suggest several biological explanations for this association, including stress-mediated imbalances in the hypothalamic–pituitary–adrenal axis, increased levels of inflammatory markers associated with asthma as well as immune dysregulation. However, the risk of misclassification of asthma is imminent when using a self-reported measure as the primary outcome, since objective measures are central to the diagnosis. 3 Hence, other important possible explanatory mechanisms behind the association should be considered.

In this context, dysfunctional breathing (DB), also commonly referred to as hyperventilation syndrome, is a relevant topic for discussion. DB is defined as changes in breathing patterns without an underlying physiological demand and can cause shortness of breath and dizziness, regardless of the presence of respiratory or cardiac diseases. Reference Boulding, Stacey, Niven and Fowler4 DB is considered to be a respiratory disorder that can have both physical and mental etiology. To date, no golden standard exist in the diagnosis of DB and the most common method to diagnose DB is the Nijmegen Questionnaire. Reference van Dixhoorn and Duivenvoorden5 The prevalence of DB is 6%–10% in the general population, Reference Thomas, McKinley, Freeman, Foy and Price6 whereas the prevalence of DB is significantly higher among patients with asthma in primary care settings (29%). Reference Thomas, McKinley, Freeman and Foy7 DB is associated with panic and anxiety-related disorders. Reference Meuret, Kroll and Ritz8 Anxiety and depression often co-occur with asthma and may influence the level of asthma control. Reference Rogliani, Sforza and Calzetta9 Thus, evidence exists to suggest a complex interplay between anxiety disorders and respiratory problems. The risk of misclassification and misinterpretation arises when the symptoms of DB are attributed to asthma with no objective confirmation. This is of particular importance when investigating effects of ACE, as the findings may largely reflect underlying functional somatic illness or anxiety.

In summary, the study by Ospina et al. has several shortcomings which they themselves acknowledge: a) the exposure variable was based on retrospective reports, b) the outcome variable of asthma was self-reported, and c) no information about a wide array of possible confounding factors are available. Consequently, can this study possibly provide any new answers to an already well-established association? Reference Hughes2 Although the authors applied latent class analyses to identify patterns of ACE, Reference Ospina, Serrano-Lomelin, Amjad, Hicks and Giesbrecht1 applying a relatively complex statistical model does not solve the problem that the data behind the current study are sparse and inadequate. Reference Iniguez and Stankowski10 Instead, in order to progress the field and get any closer to solving this problem, it is crucial that resources are directed toward the strenuous process of gathering comprehensive data and not to conduct futile secondary analyses of poor-quality data.

References

Ospina, MB, Serrano-Lomelin, JA, Amjad, S, Hicks, A, Giesbrecht, GF. Latent factors of adverse childhood experiences and adult-onset asthma. J Dev Orig Health Dis. 2020. doi: 10.1017/S2040174419000886 Google ScholarPubMed
Hughes, K, et al. The effect of multiple adverse childhood experiences on health: a systematic review and meta-analysis. Lancet Public Health. 2017; 2, e356e366.CrossRefGoogle ScholarPubMed
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