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Disadvantage in early-life and persistent asthma in adolescents: a UK cohort study

Creese, Hanna, Lai, Eric, Mason, Kate, Schlüter, Daniela K, Saglani, Sejal, Taylor-Robinson, David, Saxena, Sonia·2022·Thorax

Abstract

Objective: To determine how early-life risk factors explain socioeconomic inequalities in persistent asthma in adolescence. Methods: We did a causal mediation analysis using data from 7487 children and young people in the UK Millennium Cohort Study. Persistent asthma was defined as having a diagnosis reported at any two or more time points at 7, 11 or 14 years. The main exposure was maternal education, a measure of early-life socioeconomic circumstances (SECs), used to calculate the relative index of inequality. We assessed how blocks of perinatal (maternal health behaviours, infant characteristics and duration of breastfeeding, measured at 9 months) and environmental risk factors (family housing conditions; potential exposure to infections through childcare type and sibling number, and neighbourhood characteristics, measured at 3 years) mediated the total effect of childhood SECs on persistent asthma risk, calculating the proportion mediated and natural indirect effect (NIE) via blocks of mediators. Results: At age 14 the overall prevalence of persistent asthma was 15%. Children of mothers with lower educational qualifications were more likely to have persistent asthma, with a clear social gradient (degree plus: 12.8% vs no qualifications: 20.3%). The NIE gives the effect of SECs acting only via the mediators and shows a 31% increased odds of persistent asthma when SECs are fixed at the highest level, and mediators at the level which would naturally occur at the lowest SECs versus highest SECs (NIE OR 1.31, 95% CI 1.04 to 1.65). Overall, 58.9% (95% CI 52.9 to 63.7) of the total effect (OR 1.70, 95% CI 1.20 to 2.40) of SECs on risk of persistent asthma in adolescence was mediated by perinatal and environmental characteristics. Conclusions: Perinatal characteristics and the home environment in early life are more important in explaining socioeconomic inequalities in persistent asthma in British adolescents than more distal environmental exposures outside the home.

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  1. 10.1136/thoraxjnl-2017-210714 · DOI
  2. 10.1183/13993003.02130-2018 · DOI
  3. Chung, 2011, Asthma in childhood: a complex, heterogeneous disease, Korean J Pediatr, 54, 1, 10.3345/kjp.2011.54.1.1 · DOI
  4. 10.1503/cmaj.080612 · DOI
  5. Bloom, 2021, Burden of preschool wheeze and progression to asthma in the UK: population-based cohort 2007 to 2017, J Allergy Clin Immunol, 147, 1949, 10.1016/j.jaci.2020.12.643 · DOI
  6. Trivedi, 2019, Asthma in children and Adults-What are the differences and what can they tell us about asthma?, Front Pediatr, 7, 256, 10.3389/fped.2019.00256 · DOI
  7. Bui, 2018, Childhood predictors of lung function trajectories and future COPD risk: a prospective cohort study from the first to the sixth decade of life, Lancet Respir Med, 6, 535, 10.1016/S2213-2600(18)30100-0 · DOI · Paper page
  8. Postma, 2015, Risk factors and early origins of chronic obstructive pulmonary disease, The Lancet, 385, 899, 10.1016/S0140-6736(14)60446-3 · DOI
  9. 10.1183/13993003.01117-2015 · DOI
  10. 10.1136/thorax.55.3.239 · DOI
  11. 10.1183/23120541.00042-2016 · DOI
  12. Xu, 2014, Effect of low birth weight on childhood asthma: a meta-analysis, BMC Pediatr, 14, 10.1186/1471-2431-14-275 · DOI
  13. 10.1016/j.jaci.2013.12.1082 · DOI
  14. 10.1093/aje/kwu072 · DOI
  15. 10.1289/ehp.1002410 · DOI
  16. 10.1183/09031936.00115409 · DOI · Paper page
  17. 10.1183/09031936.95.08030483 · DOI · Paper page
  18. 10.1136/jech.2004.023036 · DOI · Paper page
  19. 10.1093/epirev/mxh008 · DOI · Paper page
  20. Sullivan, 2020, Structural and social determinants of health in asthma in developed economies: a scoping review of literature published between 2014 and 2019, Curr Allergy Asthma Rep, 20, 10.1007/s11882-020-0899-6 · DOI
  21. Williams, 2009, Social determinants: taking the social context of asthma seriously, Pediatrics, 123 Suppl 3, S174, 10.1542/peds.2008-2233H · DOI · Paper page
  22. 10.1007/s10654-019-00494-6 · DOI · Paper page
  23. Loeys T , Loeys T , Moerkerke B , et al . medflex : An R Package for Flexible Mediation Analysis using Natural Effect Models. J Stat Softw 2017;76.doi:10.18637/jss.v076.i11 · DOI
  24. Vansteelandt, 2012, Imputation strategies for the estimation of natural direct and indirect effects, Epidemiol Method, 1, 131, 10.1515/2161-962X.1014 · DOI
  25. 10.1093/ije/30.6.1473 · DOI
  26. 10.1257/000282802762024520 · DOI
  27. 10.1136/thorax.57.11.945 · DOI
  28. 10.1136/jech.56.3.209 · DOI · Paper page
  29. Feng, 2017, Is neighborhood green space protective against associations between child asthma, neighborhood traffic volume and perceived lack of area safety? multilevel analysis of 4447 Australian children, Int J Environ Res Public Health, 14, 10.3390/ijerph14050543 · DOI
  30. Institute of Education, Fitzsimons E , ed. Millennium cohort study: sixth survey 2015-2016 user guide (first edition. London: Centre for Longitudinal Studies, 2017.
  31. Straatmann, 2018, How do adverse childhood experiences explain social inequalities in adolescent health outcomes? findings from the UK millennium cohort study, The Lancet, 392, S83, 10.1016/S0140-6736(18)32093-2 · DOI
  32. 10.1136/jech-2019-212367 · DOI · Paper page
  33. 10.1257/app.6.1.253 · DOI
  34. Moral, 2019, Asthma diagnosis in infants and preschool children: a systematic review of clinical guidelines, Allergol Immunopathol, 47, 107, 10.1016/j.aller.2018.05.002 · DOI
  35. 10.1136/bmjresp-2017-000260 · DOI
  36. 10.1093/ije/dym089 · DOI
  37. 10.1186/s12890-018-0687-4 · DOI
  38. 10.1183/09031936.00040211 · DOI

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Metadata

Authors
Creese, H., Lai, E., Mason, K., Schlüter, D. K., Saglani, S., Taylor-Robinson, D., & Saxena, S.
Venue
Thorax
Publisher
BMJ
Published
2021-10-14
Volume
77
Issue
9
Pages
854-864
ISSN
  • 0040-6376
  • 1468-3296
Cited by
23
References
0
Language
en
Funders
  • NIHR School for Public Health Research (PD-SPH-2015)
  • NIHR Imperial Biomedical Research Centre (WPPA_P84065)
  • NIHR Northwest London Applied Research Collaboration (n/a)

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