| Title |
The Risk Factors and Characteristics of COPD Among Nonsmokers in Korea: An Analysis of KNHANES IV and V
|
|---|---|
| Published in |
Lung, April 2016
|
| DOI | 10.1007/s00408-016-9871-6 |
| Pubmed ID | |
| Authors |
Su Hwan Lee, Eu Dong Hwang, Ju Eun Lim, Sungwoo Moon, Young Ae Kang, Ji Ye Jung, Moo Suk Park, Se Kyu Kim, Joon Chang, Young Sam Kim, Song Yee Kim |
| Abstract |
Chronic obstructive pulmonary disease (COPD) is increasing in prevalence and mortality. This study evaluated the prevalence, risk factors, characteristics, and health-related quality of life (HRQoL) of COPD among nonsmokers in Korea. This was a population-based cross-sectional study using data obtained from the Fourth and Fifth Korean National Health and Nutrition Examination Survey, which was conducted from 2007 to 2011. A total of 15,063 participants completely answered the questionnaire and performed the spirometry. Among them, 59.6 % were nonsmokers and 40.4 % were smokers. The prevalence of nonsmoker COPD was 7.1 %. On multivariate analysis, age ≥65 years (OR, 2.93; 95 % CI, 2.44-3.51), male sex (OR, 2.98; 95 % CI, 2.40-3.71), living in rural area (OR, 1.26; 95 % CI, 1.05-1.51), lower body mass index (BMI) (<18.5 kg/m(2)) (OR, 3.00; 95 % CI, 1.78-5.01), self-reported asthma (OR, 2.72; 95 % CI, 2.05-3.60), and self-reported tuberculosis (OR, 4.73; 95 % CI, 3.63-6.17) showed a significantly higher risk of nonsmoker COPD. Analysis of nonsmoker and smoker COPD revealed that there are more females in nonsmoker COPD patients (73.9 vs. 6.9 %, P < 0.001). Nonsmoker COPD patients presented with impaired mobility, pain/discomfort, and anxiety/depression functions as well as a lower mean EuroQol Five-Dimension Questionnaire utility score, which showed HRQoL. The burden of nonsmoker COPD was considerable. Older age, male sex, lower BMI, self-reported asthma, and self-reported tuberculosis were risk factors for nonsmoker COPD and there were differences between nonsmoker and smoker COPD in terms of sex, comorbidities, and HRQoL. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 1% |
| Unknown | 84 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 13% |
| Other | 7 | 8% |
| Researcher | 6 | 7% |
| Student > Ph. D. Student | 6 | 7% |
| Lecturer > Senior Lecturer | 4 | 5% |
| Other | 22 | 26% |
| Unknown | 29 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 31% |
| Nursing and Health Professions | 12 | 14% |
| Biochemistry, Genetics and Molecular Biology | 5 | 6% |
| Unspecified | 2 | 2% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 33 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 30 December 2017.
All research outputs
#17,796,099
of 22,860,626 outputs
Outputs from Lung
#626
of 885 outputs
Outputs of similar age
#205,833
of 300,246 outputs
Outputs of similar age from Lung
#11
of 24 outputs
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