Contribution of weight status to asthma prevalence racial disparities, 2-19 year olds, 1988-2014

Ann Epidemiol. 2017 Aug;27(8):472-478.e3. doi: 10.1016/j.annepidem.2017.07.004. Epub 2017 Jul 14.

Abstract

Purpose: Racial disparities in childhood asthma prevalence increased after the 1990s. Obesity, which also varies by race/ethnicity, is an asthma risk factor but its contribution to asthma prevalence disparities is unknown.

Methods: We analyzed nationally representative National Health Examination and Nutrition Survey data for 2-19 year olds with logistic regression and decomposition analyses to assess the contributions of weight status to racial disparities in asthma prevalence, controlling for sex, age, and income status.

Results: From 1988-1994 to 2011-2014, asthma prevalence increased more among non-Hispanic black (NHB) (8.4% to 18.0%) than non-Hispanic white (NHW) youth (7.2% to 10.3%). Logistic regression showed that obesity was an asthma risk factor for all groups but that a three-way "weight status-race/ethnicity-time" interaction was not significant. That is, weight status did not modify the race/ethnicity association with asthma over time. In decomposition analyses, weight status had a small contribution to NHB/NHW asthma prevalence disparities but most of the disparity remained unexplained by weight status or other asthma risk factors (sex, age and income status).

Conclusions: NHB youth had a greater asthma prevalence increase from 1988-1994 to 2011-2014 than NHW youth. Most of the racial disparity in asthma prevalence remained unexplained after considering weight status and other characteristics.

Keywords: Adolescents; Asthma; Child; Health status disparities; Obesity.

MeSH terms

  • Adolescent
  • Asthma / epidemiology*
  • Asthma / ethnology
  • Black or African American / statistics & numerical data
  • Body Weight
  • Child
  • Child, Preschool
  • Ethnicity / statistics & numerical data*
  • Female
  • Health Status Disparities*
  • Health Surveys
  • Hispanic or Latino / statistics & numerical data
  • Humans
  • Male
  • Nutrition Surveys
  • Obesity / complications
  • Obesity / epidemiology*
  • Pregnancy
  • Prevalence
  • Risk Factors
  • Socioeconomic Factors
  • United States / epidemiology
  • White People / statistics & numerical data
  • Young Adult