Juvenile Asthma in the U.S. Relate Asthma Incidence to Body Mass Index

Linshuo Yang, Zhijie Duan, Jingchen Chai

2022

Abstract

Asthma is one of the most common chronic diseases among humans, juveniles. Obesity, as many studies suggest, is related to the development of asthma. This research study intends to identify the strength of correlation between BMI and asthma in different gender and ethnic groups and explore whether the incidence of asthma increases with higher BMI. Here, researchers first divided the data collected from the National Health and Nutrition Examination Survey into two groups by the variable _Have_Asthma_. T-tests for the difference in means were then employed to show that the average BMIs for the two groups differ in a statistically significant way. Quantile analyses were also used to compare the proportion of people having asthma in each BMI quantile. To quantify the strength of correlation, a bootstrap confidence interval was built and logistic regression models for the data from 2015 to 2016, and 2017 to 2018. To avoid the collinearity between gender and BMI, the researchers also built separate logistic models for each gender. The authors concluded that juveniles with higher BMI have a higher risk of getting asthma. Male juveniles have an overall higher risk of getting asthma than female juveniles. Non-Hispanic black juveniles are more likely to have asthma than Mexican American juveniles and non-Hispanic white juveniles.

Paper Citation

in Harvard Style

Yang L., Duan Z. and Chai J. (2022). Juvenile Asthma in the U.S. Relate Asthma Incidence to Body Mass Index. In Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH, ISBN 978-989-758-596-8, pages 194-199. DOI: 10.5220/0011241600003438

in Bibtex Style

@conference{ichih22,
author={Linshuo Yang and Zhijie Duan and Jingchen Chai},
title={Juvenile Asthma in the U.S. Relate Asthma Incidence to Body Mass Index},
booktitle={Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,},
year={2022},
pages={194-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011241600003438},
isbn={978-989-758-596-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,
TI - Juvenile Asthma in the U.S. Relate Asthma Incidence to Body Mass Index
SN - 978-989-758-596-8
AU - Yang L.
AU - Duan Z.
AU - Chai J.
PY - 2022
SP - 194
EP - 199
DO - 10.5220/0011241600003438