Wider neck circumference is related to severe asthma in children

Pediatr Allergy Immunol. 2015 Aug;26(5):456-60. doi: 10.1111/pai.12402. Epub 2015 Jun 5.

Abstract

Background: Obesity is an established risk factor for asthma in children. Measures of central obesity are reported to be more associated with the severity of asthma in adults. The aim of the study was to investigate the association between fat distribution, which is determined by anthropometric measures including neck circumference (NC) and asthma severity in children.

Methods: Children with asthma who were followed in our pediatric allergy unit were consecutively recruited. Asthma severity was graded according to GINA guidelines. Children whose asthma was controlled with Step 1 or 2 treatment options formed Group 1 (mild asthma), whereas children who needed Step 3, 4, or 5 treatment options formed Group 2 (moderate-to-severe asthma). Anthropometric measures including height, weight, NC, waist circumference, and hip circumference were obtained.

Results: A total of 127 children (82 male, 64.6%) with a median age of 8.3 (6.4-11.3) years were included. Atopy was present in 77 (60.6%) patients. 91 patients (71.6) were in the mild asthma group. NC of children with severe asthma was significantly wider than children with mild asthma (29.0 cm (27.0-32.0) vs. 28.0 (26.0-30.0), p = 0.019). The prevalence of children with NC higher than 90th percentile was also more frequent in children with severe asthma (15 [41.7%] vs. 21 [23.1%]). Result of multivariable logistic regression analysis revealed that presence of NC >90th percentile was associated with severe asthma in children (odds ratio; [95% confidence interval] (2.52 [1.05-6.01]; p = 0.038).

Conclusions: Neck circumference, which is a simple anthropometric tool, is associated with asthma severity in children.

Keywords: asthma; children; fat distribution; neck circumference; obesity.

MeSH terms

  • Adiposity*
  • Age Factors
  • Anthropometry
  • Asthma / diagnosis
  • Asthma / etiology*
  • Child
  • Cross-Sectional Studies
  • Female
  • Humans
  • Logistic Models
  • Male
  • Multivariate Analysis
  • Neck / pathology*
  • Odds Ratio
  • Pediatric Obesity / complications*
  • Pediatric Obesity / pathology
  • Predictive Value of Tests
  • Risk Assessment
  • Risk Factors
  • Severity of Illness Index