Details:

Alternative Title:
J Asthma
Publisher's site:
http://dx.doi.org/10.3109/02770903.2014.956894
Personal Author:
Zahran, Hatice S. ; Bailey, Cathy M. ; Qin, Xiaoting ; Moorman, Jeanne E.
Zahran, Hatice S. ; Bailey, Cathy M. ; Qin, Xiaoting ; Moorman, Jeanne E. Less -
Description:
Introduction

Monitoring the level of asthma control is important in determining the effectiveness of current treatment which may decrease the frequency and intensity of symptoms and functional limitations. Uncontrolled asthma has been associated with decreased quality of life and increased health care use. The objectives of this study were to assess the level of asthma control and identify related risk factors among persons with current asthma.

Methods

Using the 2006 to 2010 BRFSS child and adult Asthma Call-back Survey, asthma control was classified as well-controlled or uncontrolled (not-well-controlled or very-poorly-controlled) using three impairment measures: daytime symptoms, night-time symptoms, and taking short-acting β2-agonists for symptom control. Multivariate logistic regression identified predictors of asthma control.

Results

Fifty percent of adults and 38.4% of children with current asthma had uncontrolled asthma. About 63% of children and 53% of adults with uncontrolled asthma were on long-term asthma control medications. Among children, uncontrolled asthma was significantly associated with being younger than 5 years, having annual household income <$15 000, and reporting cost as barriers to medical care. Among adults, it was significantly associated with being 45 years or older, having annual household income of <$25 000, being “other” race, having less than a 4-year college degree, being a current or former smoker, reporting cost as barriers, being obese, and having chronic obstructive pulmonary disease or depression.

Conclusion

Identifying and targeting modifiable predictors of uncontrolled asthma (low educational attainment, low income, cigarette smoking, and co-morbid conditions including obesity and depression) could improve asthma control.


Subject:
[+]
Adolescent Adrenergic Beta-2 Receptor Agonists Adult Aged Age Factors Behavioral Risk Factor Surveillance System Child Child, Preschool Comorbidity Female Health Behavior Humans Infant Male Middle Aged Patient Acuity Quality Of Life Risk Factors Smoking Socioeconomic Factors
Source:
J Asthma. 52(3):318-326.
Pubmed ID:
25144551
Pubmed Central ID:
PMC4552346
Document Type:
Journal Article
Funding:
HBZ4/Intramural CDC HHS/United States
Name as Subject:
Behavioral Risk Factor Surveillance System (U.S.)
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:27a0df700378570608e65b1a291aab0c6502f44864e3bdb14aa244cb9e37f547
Download URL:
https://stacks.cdc.gov/view/cdc/33931/cdc_33931_DS1.pdf
File Type:

Supporting Files

• nihms717222.nxml

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