title: Home environmental factors associated with poor asthma control in Montreal children: a population-based study.
abstract: BACKGROUND
  Home environmental exposures may aggravate asthma. Few population-based studies have investigated the relationship between asthma control in children and home environmental exposures.
  
  
  OBJECTIVE
  Identify home environmental exposures associated with poor control of asthma among asthmatic children less than 12 years of age in Montreal (Quebec, Canada).
  
  
  METHODS
  This cross-sectional population-based study used data from a respiratory health survey of Montreal children aged 6 months to 12 years conducted in 2006 (n = 7980). Asthma control was assessed (n = 980) using an adaptation of the Canadian asthma consensus report clinical parameters. Using log-binomial regression models, prevalence ratios (PRs) with 95% confidence intervals (95% CIs) were estimated to explore the relationship between inadequate control of asthma and environmental home exposures, including allergens, irritants, mold, and dampness indicators. Subjects with acceptable asthma control were compared with those with inadequate disease control.
  
  
  RESULTS
  Of 980 children with active asthma in the year prior to the survey, 36% met at least one of the five criteria as to poor control of their disease. The population's characteristics found to be related with a lack of asthma control were younger age, history of parental atopy, low maternal education level, foreign-born mothers, and tenant occupancy. After adjustments, children living along high-traffic density streets (PR, 1.35; 95% CI, 1.00-1.81) and those with their bedroom or residence at the basement level (PR, 1.30; 95% CI, 1.01-1.66) were found to be at increased risk of poor asthma control.
  
  
  CONCLUSIONS
  Suboptimal asthma control appears to be mostly associated with traffic, along with mold and moisture conditions, the latter being a more frequent exposure and therefore having a greater public health impact.
authors.affiliation: Département de santé environnementale et santé au travail, Université de Montréal, Montréal, Canada.
authors.forename: Leylâ
authors.initials: L
authors.lastname: Değer
authors.forename: Céline
authors.initials: C
authors.lastname: Plante
authors.forename: Sophie
authors.initials: S
authors.lastname: Goudreau
authors.forename: Audrey
authors.initials: A
authors.lastname: Smargiassi
authors.forename: Stéphane
authors.initials: S
authors.lastname: Perron
authors.forename: Robert L
authors.initials: RL
authors.lastname: Thivierge
authors.forename: Louis
authors.initials: L
authors.lastname: Jacques
mesh_terms: D017677:Age Distribution; D016902:Air Pollution, Indoor / Q000009:adverse effects*; D001249:Asthma / Q000453:epidemiology* / Q000209:etiology / Q000503:physiopathology; D016535:Bronchial Hyperreactivity / Q000453:epidemiology* / Q000209:etiology* / Q000503:physiopathology; D002648:Child; D002675:Child, Preschool; D016001:Confidence Intervals; D003430:Cross-Sectional Studies; D004781:Environmental Exposure / Q000009:adverse effects*; D004784:Environmental Monitoring; D062665:Epidemiological Monitoring; D005260:Female; D006306:Health Surveys; D006801:Humans; D015994:Incidence; D007223:Infant; D008297:Male; D015999:Multivariate Analysis; D011379:Prognosis; D011792:Quebec / Q000453:epidemiology; D018570:Risk Assessment; D012720:Severity of Illness Index; D017678:Sex Distribution; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D014505:Urban Population