Laura Beate von Kobyletzki1,2, Linda Beckman2, Liam Smeeth3, Martin McKee3,4, Jennifer K Quint5, Katrina Abuabara6, Sinead Langan3,7. 1. Department of Dermatology, Lund University, Skåne University Hospital, Malmö, Sweden. 2. Department of Public Health Sciences, Karlstads Universitet, Karlstad, Sweden. 3. London School of Hygiene & Tropical Medicine, London, UK. 4. Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK. 5. Respiratory Epidemiology, Occupational Medicine and Public Health, Imperial College London, London, UK. 6. Program for Clinical Research, Department of Dermatology, University of California, San Francisco, California, USA. 7. Department of Dermatology, St John's Institute of Dermatology, London, UK.
Systematic review and meta-analysis of studies that have a study design that allows assessment of temporality.Will offer the highest level of evidence possible for informed decisions.Potential clarification whether the effect of allergic disease status on educational attainment and occupational status is modified by socioeconomic status.The range of different definitions of allergic disease status and different assessment of educational attainment and occupational status in the literature might hamper collation of outcomes.
Background
Allergic diseases
Asthma, eczema, allergic rhinitis and food hypersensitivity are important contributors to the global burden of disease,1 2 especially among children and adolescents, about 50% of whom are affected by at least one of these allergic conditions.3 There is evidence that these specific allergic diseases can have a substantial impact on quality of life compared with individuals in the general population.4–6
Academic attainment and allergic diseases
Childhood allergic diseases may hinder academic achievement in several ways. (1) Children may miss school because of the physical effects of their conditions or the need to attend medical appointments. (2) Skin lesions requirements for medication during school time or specific diets might be associated with stigma affecting social interactions and performance at school. (3) Eczema is characteristically pruritic, leading to inadequate sleep and poor concentration. (4) Allergic rhinitis might also reduce concentration due to symptoms and the need for sedating medications that may impair performance. (5) In addition altered nutrient intake due to food hypersensitivity and bowel pain may impair academic attainment.7–9 (6) Finally, eczema and allergy have been linked to attention deficit hyperactivity disorder (ADHD), suggesting another possible pathway to lower educational attainment.Educational attainment influences the well-being of children10 and influences future health, occupational and social opportunities. Other chronic illnesses, such as epilepsy and childhood cancer, have been shown to have a negative impact on education attainment.11 12 However, an initial scoping review has found variable findings in relation to educational attainment among those with asthma and food hypersensitivity. Thus, children with asthma have a higher rate of school absence but, despite this, some studies show only weak associations and others show no association between asthma and impaired educational attainment. A few studies have examined the employment of individuals who experienced asthma during childhood, finding that those who had asthma in childhood experience persisting disadvantage; specifically, persons with severe asthma were less likely to be employed as adults.13 14 Further, allergic rhinitis and antihistamine treatment have been associated with poor school performance, potentially due to the sedating effect of antihistamines, with lower grades observed in those taking examinations during seasons with peak rhinitis symptoms compared with during seasons where rhinitis is quiescent.15 A recent systematic review (SR) highlighted a dearth of studies focusing on eczema and academic attainment and occupational status; only one relevant population-based study was identified and this study did not support a relationship between eczema and reduced educational attainment.16The relationship between allergic diseases and socioeconomic status (SES) is complex, with much scope for confounding and mediating factors that could influence any observed association between educational attainment and allergic diseases. There is a positive socioeconomic gradient in eczema, whereby risks of developing eczema are higher with higher maternal education. This association can be expected to promote higher academic attainment, potentially reducing any limitations related to having eczema.17 The data on associations with SES are mixed and may vary by allergy type. Some studies suggest that asthma, allergic rhinitis and food hypersensitivity may exhibit a negative socioeconomic gradient, whereby associations with lower maternal education might worsen any negative effect of disease on educational attainment.18To the best of our knowledge, previous SRs have not assessed the relationship between allergic diseases and educational attainment.The aim of this study is to investigate the association between specific allergic diseases, educational attainment and occupational status in adult life. Specifically, the following are our objectives:to assess the associations between childhood asthma, allergic rhinitis, food hypersensitivity and eczema and educational attainment at any age during childhood and adolescenceto assess the associations between childhood asthma, allergic rhinitis, food hypersensitivity, eczema and highest academic degreeto assess the associations between childhood asthma, allergic rhinitis, food hypersensitivity, eczema and occupational status.For objectives 1–3, we will assess if there is a relationship between study outcomes and severity of the allergic diseases. The study tests the hypotheses that asthma, allergic rhinitis, eczema and food hypersensitivity (particularly when severe) are related to lower educational attainment and reduced occupational status.
Methods
An SR will be undertaken to evaluate the effects on (1) educational attainment during childhood and adolescence; and on (2) highest academic degree and occupational status during adulthood in children witheczema (during childhood)asthma (during childhood)allergic rhinitis (during childhood)food hypersensitivity (during childhood).For each of these exposures, we will stratify the results by disease severity (where possible).
Search strategy
Systematic literature search in Medline, EMBASE, Cochrane, CINAHL, PsycINFO and ERIC, hand search in reference lists of included papers and conference reports will be performed. The abstracts included in the search that refer to conference reports will be assessed. Abstracts and conference proceedings will only be used to search for full publications that meet the inclusion/exclusion criteria. Unpublished studies will be searched by investigating clinical trial registers (such as ClinicalTrials.gov) and the New York Academy of Medicine Grey Literature Report (www.greylit.org).Searches will also be performed on Google and Google Scholar search engines (see online supplementary appendix 1).population-based studies with data on both the exposure (specific allergic diseases) and the outcome (educational attainment or occupational status) where temporality can be determinedinterventions: studies will not be selected based on treatment, although these data will be extracted for comparison purposesassessment of at least one of the following: (1) educational attainment from age 6 years until age 18 years, and (2) academic attainment in adulthood, for example, highest academic degree or occupational statusstudies that use a standardised definition of atopic disease and contain diagnosis of asthma, allergic rhinitis, eczema or food hypersensitivityno language restrictions will be used.
Exclusion criteria
We will exclude studies that focus exclusively on localised forms of eczema (ie, hand eczema) or studies that do not assess the outcomes of interest.educational attainment at any age during childhood and adolescence, which could be measured by examination scores, grades or the highest level of educational attainmenthighest academic degree, for example primary school degree, high school degree, college degree, university degree or higherOccupational status based on standard registrar general, including not in education, employment or training status (where available) and salary (where available).eczemaasthmaallergic rhinitisfood hypersensitivity.Definitions of allergic diseases:Physician-diagnosed or in accordance with validated diagnostic criteria.
Endpoints
Primary endpoints
Potential confounding variables
SES, age, sex, familial educational attainment, alcohol overconsumption by the individual, medications that may impair performance (eg, antihistamines, oral corticosteroids) and recreational drugs use will be considered as potential confounding variables. We will assess if sex or age of onset of specific allergic diseases is an effect modifier. We will also explore the impact of adjusting for sleep loss and ADHD (where available) as these potential covariates may be on the causal pathway between allergic diseases, and poor educational attainment and lower status occupation.
Eligibility assessment
Two reviewers will independently assess the eligibility of studies based on the title and abstract. If either of the reviewers considers a study potentially eligible, the full article will be retrieved for further assessment. In the second screening phase, full text papers will be assessed independently by the two reviewers using a standardised data extraction form designed to describe the characteristics of studies to be included as set out in the recommendations in the Cochrane Handbook section 5.1.0. Disagreements will be resolved by a third reviewer.
Data extraction
A data extraction form will be developed and piloted by reviewers on a random selection of included studies. Two reviewers will independently extract the data from included studies using this form. Extracted data items will include characteristics of each study, study methodological quality items and the outcomes of interest for each study.
Study quality assessment
Following the Cochrane Collaboration’s recommendation to present potential biases for each study instead of using scores to rate quality, a set of quality appraisal items will be applied. These include biases in sample selection, validity of measures of disease and educational outcome, appropriateness of statistical analysis, and adjustment for confounders when applicable (see below).Studies that do not assess temporality, for example cross-sectional studies, will be excluded.The following tools will be used to assess study quality and for data extraction, obtained from the Cochrane Handbook resource and adapted for the current SR:‘List of study design features (table 13.2.a)’, with exposure as intervention for collecting information about eligibility, and for collecting data about study design featuresdata collection form for non-randomised studiesNewcastle-Ottawa Scale for assessing the quality of a cohort studyfurther quality assessment with Cochrane risk of bias tool.
Statistical analysis
Articles that meet the inclusion criteria will be recorded in table format in order to perform a systematic and narrative synthesis on the available evidence. We will study each allergic disease individually. If studies include combinations of different allergic diseases, we will seek to distinguish the separate effects; if this is not possible, we will report the combined data. If possible, we will stratify by disease severity of eczema, asthma or rhinitis. For allergic rhinitis, where possible, we will undertake sensitivity analyses restricted to hay fever season for educational attainment outcomes. We plan to use fixed effect models on ORs and test for heterogeneity (likely). Analyses are based on a causal model; and as we look at several possibly concurring risk factors, risk ratios will be assessed in models in which potential explanatory factors are added sequentially. Therefore, we plan to use fixed effects model meta-analysis if appropriate. If possible, we will undertake meta-analysis of study findings, including meta-regression, to explore sources of heterogeneities (eg, methodological quality, age of participants (children/adults), study duration, location and other differences due to confounding factors).19 Potential publication will be assessed by visual inspections of funnel plots. All statistical analyses will be performed with Stata MP 14 (by LBvK, SML) and for each outcome separately. Analyses will be performed separately for each disease outcome, and each disease outcome will be presented separately in the resulting publication.
Causality assessment
We will assess causality on the basis of Bradford Hill’s nine criteria, paying particular attention to the following:the magnitude of association after adjusting for social class (strength of association)the specificity of the finding for atopic disease versus other chronic diseases (if possible)the dose response effect according to disease severitythe consistency of association across different cultures and countriesthe plausibility of the mechanism (as determined through the wider literature).All studies included will be longitudinal providing evidence for temporality.
Registration
The protocol of the study was registered in Prospero. The manuscript reporting adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol guidelines. The completed checklist is included as an online supplementary file indicating the line/page numbers where items can be found.
Authors: L B von Kobyletzki; L Beckman; J Smirnova; L Smeeth; H C Williams; M McKee; K Abuabara; S M Langan Journal: Br J Dermatol Date: 2017-07-26 Impact factor: 9.302
Authors: Joshua A Boyce; Amal Assa'ad; A Wesley Burks; Stacie M Jones; Hugh A Sampson; Robert A Wood; Marshall Plaut; Susan F Cooper; Matthew J Fenton; S Hasan Arshad; Sami L Bahna; Lisa A Beck; Carol Byrd-Bredbenner; Carlos A Camargo; Lawrence Eichenfield; Glenn T Furuta; Jon M Hanifin; Carol Jones; Monica Kraft; Bruce D Levy; Phil Lieberman; Stefano Luccioli; Kathleen M McCall; Lynda C Schneider; Ronald A Simon; F Estelle R Simons; Stephen J Teach; Barbara P Yawn; Julie M Schwaninger Journal: J Allergy Clin Immunol Date: 2010-12 Impact factor: 10.793
Authors: N Ballardini; I Kull; T Lind; E Hallner; C Almqvist; E Ostblom; E Melén; G Pershagen; G Lilja; A Bergström; M Wickman Journal: Allergy Date: 2012-02-16 Impact factor: 13.146