Chonnam Med J.  2020 Jan;56(1):62-67. 10.4068/cmj.2020.56.1.62.

Association between Body Mass Index and Prevalence of Asthma in Korean Adults

Affiliations
  • 1Department of Public Health, Graduate School, Chonnam National University Medical School, Gwangju, Korea.
  • 2Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea. mhshinx@paran.com

Abstract

We evaluated the association between body mass index (BMI) and the prevalence of asthma. Using data from the 2015 Korean Community Health Survey, 214,971 participants aged between 19 and 106 years were included in this study. Asthma was defined based on the self-report of physician diagnosis. BMI was classified as underweight (<18.5 kg/m²), normal weight (18.5 kg/m²â‰¤BMI<23.0 kg/m²), overweight (23.0 kg/m²â‰¤ BMI<27.4 kg/m²), and obese (≥27.5 kg/m²) based on the BMI categories for Asians by the World Health Organization. Multiple logistic regression analysis was performed with sampling weights to evaluate the association between BMI and asthma after adjusting for age, educational level, income, type of residential area, smoking status, alcohol consumption, physical activity, hypertension, and diabetes. In men, BMI had an inverted J-shaped association with the prevalence of asthma, with an odds ratio of 1.88 (95% confidence interval [CI]: 1.89-2.24) for underweight and 1.12 (95% CIs: 0.97-1.29) for obesity. In women, BMI had a J-shaped association with the prevalence of asthma, with an odds ratio of 1.05 (95% CIs: 0.91-1.22) for underweight and 2.29 (95% CIs: 2.06-2.56) for obesity. In conclusion, in a nationally representative sample of Korean adults, the association between BMI and the prevalence of asthma varied between the sexes. This suggests that malnutrition and obesity are involved in the pathophysiology of asthma.

Keyword

Body Mass Index; Asthma; Obesity; Thinness

MeSH Terms

Adult*
Alcohol Drinking
Asian Continental Ancestry Group
Asthma*
Body Mass Index*
Diagnosis
Female
Health Surveys
Humans
Hypertension
Logistic Models
Male
Malnutrition
Motor Activity
Obesity
Odds Ratio
Overweight
Prevalence*
Smoke
Smoking
Thinness
Weights and Measures
World Health Organization
Smoke
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