Per capita sugar consumption is associated with severe childhood asthma: an ecological study of 53 countries

Prim Care Respir J. 2011 Mar;20(1):75-8. doi: 10.4104/pcrj.2010.00087.


Aims: To examine the ecological association between population asthma symptom prevalence in six to seven year-old children and per capita sugar consumption seven years earlier (during the perinatal period).

Methods: The asthma data (from the International Study of Asthma and Allergies in Childhood [ISAAC] study) were collected between 1999 and 2004 from 53 countries, and per capita sugar consumption data (seven years before the asthma prevalence) were extracted from United Nations Food and Agriculture (UNFAO) food balance sheets. Linear regression and Spearman's rank coefficient were used to evaluate the relationship between exposure and disease outcome.

Results: Per capita sugar consumption varied more than six fold-between countries. A log-linear relationship was found between severe asthma symptoms (%) and per capita added sugar consumption in kg/capita/year (exponentiated beta coefficient 1.020; 95% CI 1.005 to 1.034; P = 0.012). Spearman's rank correlation coefficient was 0.34 (P= 0.015), which indicates moderate correlation.

Conclusions: We have demonstrated an ecological association between sugar consumption during the perinatal period and subsequent risk of severe asthma symptoms in six and seven year-olds.

Publication types

  • Comparative Study
  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Age Distribution
  • Asthma / epidemiology*
  • Asthma / etiology*
  • Asthma / physiopathology
  • Child
  • Cohort Studies
  • Confidence Intervals
  • Dietary Carbohydrates / adverse effects*
  • Ecology
  • Female
  • Humans
  • Hypersensitivity, Immediate / epidemiology
  • Hypersensitivity, Immediate / etiology*
  • Hypersensitivity, Immediate / physiopathology
  • Linear Models
  • Male
  • New Zealand / epidemiology
  • Prevalence
  • Prognosis
  • Registries
  • Risk Assessment
  • Severity of Illness Index
  • Sex Distribution


  • Dietary Carbohydrates