Risk of asthma in relation to occupation: A hospital-based case-control study

Asian Pac J Allergy Immunol. 2015 Jun;33(2):152-60. doi: 10.12932/AP0487.33.1.2015.

Abstract

Background: Asthma is a common occupational lung disease and is preventable by removing identifiable allergens.

Objectives: (1) To assess the relationship between occupation and asthma (2) To determine the agents associated with asthma.

Methods: In this hospital-based, case-control study 153 cases from the Asthma Clinic and 306 non-asthmatic controls from Srinagarind Hospital, Thailand were interviewed. Crude odds ratios (COR), 95% confidence intervals (95% CI) and adjusted ORs (AOR) for multiple logistic regression were calculated.

Results: Of the 153 cases, 70.6% were females with median age of 53 (IQR-14). Of the 306 controls, 62.4% were females with median age of 56 (IQR-16). The highest risk of asthma was family history of asthma and history of atopy [AOR 11.68 (95% CI 4.52, 30.24) and AOR 8.03 (95% CI 5.07, 13.60)], respectively. If only occupations were considered, healthcare workers had the highest risk [AOR 4.08 (95% CI 1.35, 12.30)], followed by textile workers [AOR 3.34 (95% CI 1.07, 10.47)] and school workers AOR 2.40 (95% CI 1.31, 4.41). When subgroups of non-atopy were considered, school workers had a significant association with asthma [COR 3.18 (95% CI 1.48, 6.83)]. When no family history of asthma was considered, school and textile workers had the most significant association with asthma [COR 3.10 (95% CI 1.87, 5.13) and COR 3.06 (95% CI 1.15, 8.13), respectively]. Inorganic dust was the agent most significantly associated with asthma COR 1.89 (95% CI 1.25, 2.82).

Conclusion: School, textile and healthcare workers have the greatest risk of asthma. Family history of asthma and being atopic would also promote asthma in relation to occupation.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Asthma / diagnosis
  • Asthma / etiology*
  • Case-Control Studies
  • Female
  • Health Personnel*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Occupational Diseases / diagnosis
  • Occupational Diseases / etiology*
  • Occupational Exposure / adverse effects*
  • Occupational Health*
  • Occupations*
  • Odds Ratio
  • Risk Assessment
  • Risk Factors
  • Schools*
  • Textile Industry*
  • Thailand
  • Workforce
  • Workplace