| Title |
Interacting effects of obesity, race, ethnicity and sex on the incidence and control of adult-onset asthma
|
|---|---|
| Published in |
Allergy, Asthma & Clinical Immunology, October 2016
|
| DOI | 10.1186/s13223-016-0155-8 |
| Pubmed ID | |
| Authors |
Corinna Koebnick, Heidi Fischer, Matthew F. Daley, Assiamira Ferrara, Michael A. Horberg, Beth Waitzfelder, Deborah Rohm Young, Michael K. Gould |
| Abstract |
To improve care and control for patients with adult-onset asthma, a better understanding of determinants of their risk and outcomes is important. We investigated how associations between asthma, asthma control and obesity may be modified by patient demographic characteristics. This retrospective study of adults enrolled in several health plans across the U.S. (n = 2,860,305) examined the interacting effects of obesity, age, race, and sex on adult-onset asthma and asthma control. Multivariable adjusted Cox and logistic regression models estimated hazard ratios (HR), and 95 % confidence intervals (CI) for the associations between body mass index (BMI) and study outcomes, and interactions of BMI with demographic characteristics. Compared with individuals who had a BMI <25 kg/m(2), the hazard of adult-onset asthma progressively increased with increasing BMI, from a 12 % increase among persons with a BMI of 25.0-29.9 kg/m(2) (HR 1.12, 95 % CI 1.10, 1.14) to an almost 250 % increase among persons with a BMI ≥50 kg/m(2) (HR 2.49, 95 % CI 2.38, 2.60). The magnitude of the association between obesity and asthma risk was greater for women (compared with men) and lower for Blacks (compared with non-Hispanic Whites). Among individuals with asthma, obesity was associated with poorly controlled and high-risk asthma. The present study demonstrates that the magnitude of the associations between obesity and adult-onset asthma incidence and control are modified by race, age, and sex. Understanding the role of obesity in the development of adult-onset asthma will help to improve asthma treatment algorithms and to develop targeted interventions. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 23% |
| Student > Doctoral Student | 7 | 15% |
| Student > Master | 6 | 13% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Bachelor | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 11 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 35% |
| Nursing and Health Professions | 5 | 10% |
| Psychology | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 14 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 January 2017.
All research outputs
#14,600,553
of 25,374,647 outputs
Outputs from Allergy, Asthma & Clinical Immunology
#484
of 924 outputs
Outputs of similar age
#168,342
of 323,142 outputs
Outputs of similar age from Allergy, Asthma & Clinical Immunology
#7
of 10 outputs
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