TY - JOUR
T1 - Investigating obesity-related risk factors for childhood asthma
AU - Chen, Yang Ching
AU - Su, Ming Wei
AU - Brumpton, Ben M.
AU - Lee, Yungling L.
N1 - Funding Information:
The authors thank the field workers, teachers, and other school staff who supported data collection, and all parents and children who participated in this study. We thank the National Health Research Institutes of Taiwan for grant support for this study [NHRI‐EX110‐10718PC and NHRI‐EX109‐10606PI]. We also thank the National Center for Genome Medicine (NCGM) in Taiwan for providing technical support for the genotyping.
Funding Information:
This work was supported by the National Health Research Institutes of Taiwan [NHRI-EX110-10718PC and NHRI-EX109-10606PI]. National Health Research Institutes supported genomic study expenditures in this study. The authors thank the field workers, teachers, and other school staff who supported data collection, and all parents and children who participated in this study. We thank the National Health Research Institutes of Taiwan for grant support for this study [NHRI-EX110-10718PC and NHRI-EX109-10606PI]. We also thank the National Center for Genome Medicine (NCGM) in Taiwan for providing technical support for the genotyping.
Funding Information:
This work was supported by the National Health Research Institutes of Taiwan [NHRI‐EX110‐10718PC and NHRI‐EX109‐10606PI]. National Health Research Institutes supported genomic study expenditures in this study. NO
Publisher Copyright:
© 2021 EAACI and John Wiley and Sons A/S. Published by John Wiley and Sons Ltd.
PY - 2022/1
Y1 - 2022/1
N2 - Background: We tested the hypothesis that multiple obesity-related risk factors (obesity, physical activity, cardiopulmonary physical fitness, sleep-disorder breathing (SDB), and sleep quality) are associated with childhood asthma using a Mendelian randomization (MR) design. Furthermore, we aim to investigate whether these risk factors were associated with incident asthma prospectively. Methods: In total, 7069 children aged 12 from the Taiwan Children Health Study were enrolled in the current study. Cross-sectional logistic regression, one-sample MR, summary-level MR sensitivity analyses, and prospective survival analyses were used to investigate each causal pathway. Results: In MR analysis, three of the five risk factors (obesity, SDB, and sleep quality) were associated with asthma, with the highest effect sizes per inter-quartile range (IQR) increase observed for sleep quality (odds ratio [OR] = 1.42; 95% confidence interval [CI]: 1.06 to 1.92) and the lowest for obesity (OR = 1.08; 95% CI: 1.00–1.16). In the prospective survival analysis, obesity showed the highest risk of incident asthma per IQR increase (hazard ratio [HR] = 1.28; 95% CI: 1.05 to 1.56), followed by SDB (HR = 1.18; 95% CI: 1.08 to 1.29) and sleep quality (HR = 1.10; 95% CI: 1.03 to 1.17). Conclusion: Among the examined factors, the most plausible risk factors for asthma were obesity, SDB, and poor sleep quality. For the prevention of childhood asthma, relevant stakeholders should prioritize improving children's sleep quality and preventing obesity comorbidities such as SDB.
AB - Background: We tested the hypothesis that multiple obesity-related risk factors (obesity, physical activity, cardiopulmonary physical fitness, sleep-disorder breathing (SDB), and sleep quality) are associated with childhood asthma using a Mendelian randomization (MR) design. Furthermore, we aim to investigate whether these risk factors were associated with incident asthma prospectively. Methods: In total, 7069 children aged 12 from the Taiwan Children Health Study were enrolled in the current study. Cross-sectional logistic regression, one-sample MR, summary-level MR sensitivity analyses, and prospective survival analyses were used to investigate each causal pathway. Results: In MR analysis, three of the five risk factors (obesity, SDB, and sleep quality) were associated with asthma, with the highest effect sizes per inter-quartile range (IQR) increase observed for sleep quality (odds ratio [OR] = 1.42; 95% confidence interval [CI]: 1.06 to 1.92) and the lowest for obesity (OR = 1.08; 95% CI: 1.00–1.16). In the prospective survival analysis, obesity showed the highest risk of incident asthma per IQR increase (hazard ratio [HR] = 1.28; 95% CI: 1.05 to 1.56), followed by SDB (HR = 1.18; 95% CI: 1.08 to 1.29) and sleep quality (HR = 1.10; 95% CI: 1.03 to 1.17). Conclusion: Among the examined factors, the most plausible risk factors for asthma were obesity, SDB, and poor sleep quality. For the prevention of childhood asthma, relevant stakeholders should prioritize improving children's sleep quality and preventing obesity comorbidities such as SDB.
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U2 - 10.1111/pai.13710
DO - 10.1111/pai.13710
M3 - Article
C2 - 34856028
AN - SCOPUS:85121287824
SN - 0905-6157
VL - 33
JO - Pediatric Allergy and Immunology
JF - Pediatric Allergy and Immunology
IS - 1
M1 - e13710
ER -
