Are there sensitive subgroups for the effects of airborne particles?

Abstract

Recent studies have shown that particulate air pollution is a risk factor for hospitalization for heart and lung disease; however, little is known about what subpopulations are most sensitive to this pollutant. We analyzed Medicare hospital admissions for heart disease, chronic obstructive pulmonary disorders (COPD) and pneumonia in Chicago, Cook County, Illinois, between 1985 and 1994. We examined whether previous admissions or secondary diagnoses for selected conditions predisposed persons to having a greater risk from air pollution. We also considered effect modification by age, sex, and race. We found that the air-pollution-associated increase in hospital admissions for cardiovascular diseases was almost doubled in subjects with concurrent respiratory infections. The risk was also increased by a previous admission for conduction disorders. For COPD and pneumonia admissions, diagnosis of conduction disorders or dysrhythmias increased the risk of particulate matter < 10 microm in aerodynamic diameter (PM(10))-associated admissions. Persons with asthma had twice the risk of a PM(10)-associated pneumonia admission and persons with heart failure had twice the risk of PM(10)-induced COPD admissions. The PM(10) effect did not vary by sex, age, and race. These results suggest that patients with acute respiratory infections or defects in the electrical control of the heart are a risk group for particulate matter effects.

References 61

1. 1.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

2. 2.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

3. 3.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

4. 4.
   Exposure measurement error in time-series studies of air pollution: concepts and consequences. · 2000

   No notice
5. 5.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

6. 6.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

7. 7.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

8. 8.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

9. 9.

   This reference’s wording can’t be shown under the paper’s licence.

   Not in our library

10. 10.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

11. 11.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

12. 12.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

13. 13.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

14. 14.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

15. 15.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

16. 16.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

17. 17.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

18. 18.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

19. 19.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

20. 20.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

21. 21.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

22. 22.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

23. 23.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

24. 24.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

25. 25.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

26. 26.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

27. 27.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

28. 28.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

29. 29.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

30. 30.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

31. 31.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

32. 32.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

33. 33.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

34. 34.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

35. 35.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

36. 36.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

37. 37.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

38. 38.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

39. 39.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

40. 40.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

41. 41.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

42. 42.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

43. 43.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

44. 44.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

45. 45.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

46. 46.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

47. 47.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

48. 48.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

49. 49.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

50. 50.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

51. 51.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

52. 52.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

53. 53.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

54. 54.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

55. 55.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

56. 56.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

57. 57.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

58. 58.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

59. 59.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

60. 60.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

61. 61.

    This reference’s wording can’t be shown under the paper’s licence.

    Not in our library

Cited by papers we hold 7

• Potential role of polycyclic aromatic hydrocarbons in air pollution-induced non-malignant respiratory diseases · 2020
  No notice
• Impact of ambient fine particulate matter (PM2.5) exposure on the risk of influenza-like-illness: a time-series analysis in Beijing, China · 2016
  No notice
• Environmental Inequality in Exposures to Airborne Particulate Matter Components in the United States · 2012
  No notice
• An Estimate of the Global Burden of Anthropogenic Ozone and Fine Particulate Matter on Premature Human Mortality Using Atmospheric Modeling · 2010
  No notice
• A 10-year time-series analysis of respiratory and cardiovascular morbidity in Nicosia, Cyprus: the effect of short-term changes in air pollution and dust storms · 2008
  No notice
• The Effects of Fine Particle Components on Respiratory Hospital Admissions in Children · 2008
  No notice
• Potential Role of Ultrafine Particles in Associations between Airborne Particle Mass and Cardiovascular Health · 2005
  No notice

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