Christine Cole Johnson1, Aruna Chandran2, Suzanne Havstad1, Xiuhong Li2, Cynthia T McEvoy3, Dennis R Ownby1, Augusto A Litonjua4, Margaret R Karagas5, Carlos A Camargo6, James E Gern7, Frank Gilliland8, Alkis Togias9. 1. Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan. 2. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland. 3. Department of Pediatrics, Oregon Health & Science University, Portland. 4. Division of Pediatric Pulmonary Medicine, Department of Pediatrics, University of Rochester Medical Center, Rochester, New York. 5. Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire. 6. Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston. 7. Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison. 8. Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles. 9. National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland.
Abstract
Importance: Asthma is the leading chronic illness in US children, but most descriptive epidemiological data are focused on prevalence. Objective: To evaluate childhood asthma incidence rates across the nation by core demographic strata and parental history of asthma. Design, Setting, and Participants: For this cohort study, a distributed meta-analysis was conducted within the Environmental Influences on Child Health Outcomes (ECHO) consortium for data collected from May 1, 1980, through March 31, 2018. Birth cohort data of children from 34 gestational weeks of age or older to 18 years of age from 31 cohorts in the ECHO consortium were included. Data were analyzed from June 14, 2018, to February 18, 2020. Exposures: Caregiver report of physician-diagnosed asthma with age of diagnosis. Main Outcome and Measures: Asthma incidence survival tables generated by each cohort were combined for each year of age using the Kaplan-Meier method. Age-specific incidence rates for each stratum and asthma incidence rate ratios by parental family history (FH), sex, and race/ethnicity were calculated. Results: Of the 11 404 children (mean [SD] age, 10.0 [0.7] years; 5836 boys [51%]; 5909 White children [53%]) included in the primary analysis, 7326 children (64%) had no FH of asthma, 4078 (36%) had an FH of asthma, and 2494 (23%) were non-Hispanic Black children. Children with an FH had a nearly 2-fold higher incidence rate through the fourth year of life (incidence rate ratio [IRR], 1.94; 95% CI, 1.76-2.16) after which the rates converged with the non-FH group. Regardless of FH, asthma incidence rates among non-Hispanic Black children were markedly higher than those of non-Hispanic White children during the preschool years (IRR, 1.58; 95% CI, 1.31-1.86) with no FH at age 4 years and became lower than that of White children after age 9 to 10 years (IRR, 0.67; 95% CI, 0.50-0.89) with no FH. The rates for boys declined with age, whereas rates among girls were relatively steady across all ages, particularly among those without an FH of asthma. Conclusions and Relevance: Analysis of these diverse birth cohorts suggests that asthma FH, as well as race/ethnicity and sex, were all associated with childhood asthma incidence rates. Black children had much higher incidences rates but only during the preschool years, irrespective of FH. To prevent asthma among children with an FH of asthma or among Black infants, results suggest that interventions should be developed to target early life.
Importance: Asthma is the leading chronic illness in US children, but most descriptive epidemiological data are focused on prevalence. Objective: To evaluate childhood asthma incidence rates across the nation by core demographic strata and parental history of asthma. Design, Setting, and Participants: For this cohort study, a distributed meta-analysis was conducted within the Environmental Influences on Child Health Outcomes (ECHO) consortium for data collected from May 1, 1980, through March 31, 2018. Birth cohort data of children from 34 gestational weeks of age or older to 18 years of age from 31 cohorts in the ECHO consortium were included. Data were analyzed from June 14, 2018, to February 18, 2020. Exposures: Caregiver report of physician-diagnosed asthma with age of diagnosis. Main Outcome and Measures: Asthma incidence survival tables generated by each cohort were combined for each year of age using the Kaplan-Meier method. Age-specific incidence rates for each stratum and asthma incidence rate ratios by parental family history (FH), sex, and race/ethnicity were calculated. Results: Of the 11 404 children (mean [SD] age, 10.0 [0.7] years; 5836 boys [51%]; 5909 White children [53%]) included in the primary analysis, 7326 children (64%) had no FH of asthma, 4078 (36%) had an FH of asthma, and 2494 (23%) were non-Hispanic Black children. Children with an FH had a nearly 2-fold higher incidence rate through the fourth year of life (incidence rate ratio [IRR], 1.94; 95% CI, 1.76-2.16) after which the rates converged with the non-FH group. Regardless of FH, asthma incidence rates among non-Hispanic Black children were markedly higher than those of non-Hispanic White children during the preschool years (IRR, 1.58; 95% CI, 1.31-1.86) with no FH at age 4 years and became lower than that of White children after age 9 to 10 years (IRR, 0.67; 95% CI, 0.50-0.89) with no FH. The rates for boys declined with age, whereas rates among girls were relatively steady across all ages, particularly among those without an FH of asthma. Conclusions and Relevance: Analysis of these diverse birth cohorts suggests that asthma FH, as well as race/ethnicity and sex, were all associated with childhood asthma incidence rates. Black children had much higher incidences rates but only during the preschool years, irrespective of FH. To prevent asthma among children with an FH of asthma or among Black infants, results suggest that interventions should be developed to target early life.
Authors: Christine C Johnson; Suzanne L Havstad; Dennis R Ownby; Christine L M Joseph; Alexandra R Sitarik; Jocelyn Biagini Myers; Tebeb Gebretsadik; Tina V Hartert; Gurjit K Khurana Hershey; Daniel J Jackson; Robert F Lemanske; Lisa J Martin; Edward M Zoratti; Cynthia M Visness; Patrick H Ryan; Diane R Gold; Fernando D Martinez; Rachel L Miller; Christine M Seroogy; Anne L Wright; James E Gern Journal: J Allergy Clin Immunol Date: 2021-05-06 Impact factor: 10.793
Authors: Nikos Stratakis; Erika Garcia; Aruna Chandran; Tingju Hsu; Akram Alshawabkeh; Izzuddin M Aris; Judy L Aschner; Carrie Breton; Allison Burbank; Carlos A Camargo; Kecia N Carroll; Zhanghua Chen; Erika C Claud; Dana Dabelea; Anne L Dunlop; Amy J Elliott; Assiamira Ferrara; Jody M Ganiban; James E Gern; Diane R Gold; William A Gower; Irva Hertz-Picciotto; Margaret R Karagas; Catherine J Karr; Barry Lester; Leslie D Leve; Augusto A Litonjua; Yunin Ludena; Cindy T McEvoy; Rachel L Miller; Noel T Mueller; Thomas G O'Connor; Emily Oken; T Michael O'Shea; Frederica Perera; Joseph B Stanford; Katherine Rivera-Spoljaric; Andrew Rundle; Leonardo Trasande; Rosalind J Wright; Yue Zhang; Yeyi Zhu; Kiros Berhane; Frank Gilliland; Lida Chatzi Journal: Epidemiology Date: 2022-01-01 Impact factor: 4.860
Authors: Ariangela J Kozik; Fernando Holguin; Leopoldo N Segal; Talal A Chatila; Anne E Dixon; James E Gern; Catherine Lozupone; Nicholas Lukacs; Carey Lumeng; Philip L Molyneaux; Nichole Reisdorph; Ivan Vujkovic-Cvijin; Alkis Togias; Yvonne J Huang Journal: Am J Respir Cell Mol Biol Date: 2022-08 Impact factor: 7.748
Authors: Charles Washington; Matthew Dapas; Arjun Biddanda; Kevin M Magnaye; Ivy Aneas; Britney A Helling; Brooke Szczesny; Meher Preethi Boorgula; Margaret A Taub; Eimear Kenny; Rasika A Mathias; Kathleen C Barnes; Gurjit K Khurana Hershey; Carolyn M Kercsmar; Jessica D Gereige; Melanie Makhija; Rebecca S Gruchalla; Michelle A Gill; Andrew H Liu; Deepa Rastogi; William Busse; Peter J Gergen; Cynthia M Visness; Diane R Gold; Tina Hartert; Christine C Johnson; Robert F Lemanske; Fernando D Martinez; Rachel L Miller; Dennis Ownby; Christine M Seroogy; Anne L Wright; Edward M Zoratti; Leonard B Bacharier; Meyer Kattan; George T O'Connor; Robert A Wood; Marcelo A Nobrega; Matthew C Altman; Daniel J Jackson; James E Gern; Christopher G McKennan; Carole Ober Journal: Genome Med Date: 2022-09-29 Impact factor: 15.266