Abstract
Background
This is a study of the prevalence of chronic obstructive pulmonary disease (COPD), which shows high mortality worldwide, and the effects of smoking on COPD by using data from the Korea National Health and Nutrition Examination Survey V.
Methods
FEV1/FEV6<0.73 was used as a diagnostic criterion of COPD. Frequency analysis for prevalence, descriptive statistics for general characteristics and ventilation rate according to age-specifications, and complex sample logistic regression analysis for the effect of smoking on COPD prevalence were used. IBM SPSS Statistics 21 Standard, Complex Samples for Medical Science(Windows) was used for data analysis(α =0.05).
Results
Prevalence of COPD was 11.6±0.5% of Koreans in their forties or over, and 17.5±0.8% in males, and 6.2±0.5% in females. There was significant increase of COPD prevalence with age increment. Before adjusting for age and smoking index(SI), the COPD possibilities of past and current-smokers compared with non-smoking males were (odds ratio [OR] 2.112 [95% confidence interval [CI] 1.551–2.875]) and (OR 1.834 [95% CI 1.319–2.551]) respectively. After adjustments with age and SI, the COPD possibility of current-smoking was 2.099 (1.382–3.188) times higher and for past-smoking was 1.463 (1.012–2.115) times higher than non-smoking. The P-value of each group was significant. The regression coefficients (B) of current-smoking and past-smoking were 0.741 and 0.380 respectively. The prevalence of COPD increased 1.102 (1.090–1.115) times for every 1 year of age increase, and 1.012 (1.007–1.018) times for every 1 SI increase (P<0.001).
References
1. Chronic Diseases and Health Promotion Department. Burden of COPD. Geneva: World Health Organization;2014. [Accessed September 15, 2014].http://www.who.int/respiratory/COPD/burden/en/.
2. Burney P, Jithoo A, Kato B, Janson C, Mannino D, Nizankowska-Mogilnicka E, et al. Chronic obstructive pulmonary disease mortality and prevalence: the associations with smoking and poverty―a BOLD analysis. Thorax. 2014; 69(5):465–73.
3. Yoo KH, Kim YS, Sheen SS, Park JH, Hwang YI, Kim SH. Prevalence of chronic obstructive pulmonary disease in Korea: the fourth Korean National Health and Nutrition Examination Survey, 2008. Respirology. 2011; 16(4):659–65.
4. Moon HS. Guideline of COPD. Reston: The Korean Academy of Tuberculosis and Respiratory Diseases 2012. [Accessed Mar 15;2014. ].http://www.lungkorea.org/thesis/guide.php.
5. Yoo KH. Education and Quality Control of Pulmonary Function Test and Chest X-ray in the National Health and Nutrition Examination Survey. Reston: The Korean Academy of Tuberculosis and Respiratory Diseases 2012. [Accessed Mar 15;2014. ].https://knhanes.cdc.go.kr/knhanes/index.do.
6. Patel JG, Nagar SP, Dalal AA. Indirect costs in chronic obstructive pulmonary disease: a review of the economic burden on employers and individuals in the United States. Int J Chron Obstruct Pulmon Dis. 2014; 9:289–300.
7. Lee JO, Choi BS, Lee JS, Jeong JY, Lee HK. Annual changes of lung function in retired worker exposed to inorganic dusts. Tuberc Respir Dis. 2011; 71(5):341–8.
8. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2010: Korea National Health and Nutrition Examination Survey (KNHANES V-1). Cheongwon: Korea Centers for Disease Control and Prevention;2011.
9. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2011: Korea National Health and Nutrition Examination Survey (KNHANES V-2). Cheongwon: Korea Centers for Disease Control and Prevention;2012.
10. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2012: Korea National Health and Nutrition Examination Survey (KNHANES V-3). Cheongwon: Korea Centers for Disease Control and Prevention;2013.
11. Rosa FW, Perez-Padilla R, Camelier A, Nascimento OA, Menezes AM, Jardim JR, et al. Efficacy of the FEV1/FEV6 ratio compared to the FEV1/FVC ratio for the diagnosis of airway obstruction in subjects aged 40 years or over. Braz J Med Biol Res. 2007; 40(12):1615–21.
12. Hwang YI, Yoo KH, Sheen SS, Park JH, Kim SH, Yoon HI, et al. Prevalence of chronic obstructive pulmonary disease in Korea: The result of forth Korean National Health and Nutrition Examination Survey. Tuberc Respir Dis. 2011; 71(5):328–34.
13. Hwang YI, Kim CH, Kang HR, Shin T, Park SM, Jang SH, et al. Comparison of the prevalence of chronic obstructive pulmonary disease diagnosed by lower limit of normal and fixed ratio criteria. J Korean Med Sci. 2009; 24(4):621–6.
14. Tilert T, Dillon C, Paulose-Ram R, Hnizdo E, Doney B. Estimating the U.S. prevalence of chronic obstructive pulmonary disease using pre- and post-bronchodilator spirometry: the National Health and Nutrition Examination Survey (NHANES) 2007–2010. Respir Res. 2013; 14:103.
15. Chan-Yeung M, Aït-Khaled N, White N, Ip MS, Tan WC. The burden and impact of COPD in Asia and Africa. Int J Tuberc Lung Dis. 2004; 8(1):2–14.
16. Jung YM, Lee H. Chronic obstructive pulmonary disease in Korea: prevalence, risk factors, and quality of life. J Korean Acad Nurs. 2011; 41(2):149–56.
17. Kim HW, Yoo ST, Song SH, Joo JC. The effect of aging on the pulmonary function of the healthy adults. Korean J Anesthesiol. 1990; 23(6):1021–6.
18. Hong SC, Lee C, Han JS, Kim WD, Lee KY, Kim SJ, et al. Annual change of peak expiratory flow rate in asthma and COPD. Tuberc Respir Dis. 2012; 72(1):24–9.
19. Burney P, Jithoo A, Kato B, Janson C, Mannino D, Nizankowska-Mogilnicka E, et al. Chronic obstructive pulmonary disease mortality and prevalence: the associations with smoking and poverty-a BOLD analysis. Thorax. 2014; 69(5):465–73.
20. Hong YI, Chae EJ, Seo JB, Lee JH, Kim EK, Lee YK, et al. Contributors of the severity of airflow limitation in COPD patients. Tuberc Respir Dis. 2012; 72(1):8–14.
21. Lee KJ, Shim JJ. Early detection and early treatment of COPD. Korean J Med. 2009; 77(4):415–21.
22. Gershon AS, Khan S, Klein-Geltink J, Wilton D, To T, Crighton EJ, et al. Asthma and chronic obstructive pulmonary disease (COPD) prevalence and health services use in Ontario Métis: a population-based cohort study. PLoS One. 2014; 23:9 (. (4):e95899.
23. Jang AS, Park SW, Kim DJ, Uh S, Kim YH, Whang HG, et al. Effects of smoking cessation on airflow obstruction and quality of life in asthmatic smokers. Allergy Asthma Immunol Res. 2010; 2(4):254–9.
24. Evans J, Chen Y, Camp PG, Bowie DM, McRae L. Estimating the prevalence of COPD in Canada: Reported diagnosis versus measured airflow obstruction. Health Rep. 2014; 19:(. (3):3–11.
25. Masuko H, Sakamoto T, Kaneko Y, Iijima H, Naito T, Noguchi E, et al. Lower FEV1 in non-COPD, nonasthmatic subjects: association with smoking, annual decline in FEV1, total IgE levels, and TSLP genotypes. Int J Chron Obstruct Pulmon Dis. 2011; 6:181–9.
Table 1.
Characteristics | Age group (year) | Unweighted frequency |
COPD(FEV1/FEV6<0.73) |
non-COPD(FEV1/FEV6≥0.73) |
||
---|---|---|---|---|---|---|
Estimate±SEa | Unweighted frequency | Estimate±SEa | Unweighted frequency | |||
Total | 40 and over | 9,281 | 11.6±0.5 | 1,057 | 88.4±0.5 | 8,224 |
Male | 40–49 | 1,204 | 6.3±0.8 | 72 | 93.7±0.8 | 1,132 |
50–59 | 1,197 | 13.0±1.3 | 145 | 87.0±1.3 | 1,052 | |
60–69 | 993 | 27.1±1.8 | 262 | 72.9±1.8 | 731 | |
70–79 | 572 | 47.0±2.8 | 245 | 53.0±2.8 | 327 | |
80 and over | 34 | 64.4±8.2 | 34 | 35.6±8.2 | 24 | |
Total | 4,024 | 17.5±0.8 | 758 | 82.5±0.8 | 3,266 | |
Female | 40–49 | 1,411 | 2.2±0.5 | 28 | 97.8±0.5 | 1,383 |
50–59 | 1,717 | 3.8±0.5 | 66 | 96.2±0.5 | 1,651 | |
60–69 | 1,304 | 9.0±1.1 | 98 | 91.0±1.1 | 1,206 | |
70–79 | 748 | 13.3±1.8 | 88 | 86.7±1.8 | 660 | |
80 and over | 77 | 22.7±5.9 | 19 | 77.3±5.9 | 58 | |
Total | 5,257 | 6.2±0.5 | 299 | 93.8±0.5 | 4,958 |
Table 2.
Characteristics |
Total |
FEV1/FEV6≥0.73 |
FEV1/FEV6<0.73 |
t/F | Pb | |||
---|---|---|---|---|---|---|---|---|
Estimates ±SE | Unweighted frequency | Estimate ±SE | Unweighted frequency | Estimate ±SE | Unweighted frequency | |||
Age, y | 54.9±0.2 | 4,024 | 53.0±0.2 | 3,266 | 63.6±0.6 | 758 | –17.607 | <0.001 |
FVC, L | 4.2±0.0 | 4,024 | 4.3±0.0 | 3,266 | 4.0±0.0 | 758 | 7.433 | <0.001 |
FVCp, % | 92.1±0.2 | 4,020 | 92.3±0.3 | 3,262 | 90.7±0.6 | 758 | 2.346 | 0.019 |
FEV1, L | 3.2±0.0 | 4,024 | 3.3±0.0 | 3,266 | 2.5±0.0 | 758 | 26.336 | <0.001 |
FEV1p, % | 89.9±0.3 | 4,020 | 92.7±0.3 | 3,262 | 77.1±0.7 | 758 | 21.642 | <0.001 |
FEV1/FVC | 0.8±0.0 | 4,024 | 0.8±0.0 | 3,266 | 0.6±0.0 | 758 | 44.168 | <0.001 |
FEV6, L | 4.0±0.0 | 4,024 | 4.1±0.0 | 3,266 | 3.6±0.0 | 758 | 12.110 | <0.001 |
FEV1/FEV6 | 0.8±0.0 | 4,024 | 0.8±0.0 | 3,266 | 0.7±0.0 | 758 | 46.826 | <0.001 |
Smoking duration, y | 22.7±0.3 | 3,918 | 20.9±0.3 | 3,182 | 31.4±0.8 | 736 | –12.845 | <0.001 |
Smoking amount, pack | 0.8±0.1 | 3,924 | 0.8±0.0 | 3,188 | 0.8±0.0 | 736 | –2.519 | 0.012 |
Smoking index, pack∗y | 21.0±0.4 | 3,917 | 19.6±0.4 | 3,181 | 28.2±1.0 | 736 | –8.204 | <0.001 |
Smoking status, % | 2.227 | 0.026 | ||||||
Current-smoking | 41.8±1.0 | 1,449 | 82.5±1.2 | 1,162 | 17.5±1.2 | 287 | ||
Past-smoking | 44.1±1.0 | 1,890 | 80.4±1.1 | 1,515 | 19.6±1.1 | 375 | ||
Non-smoking | 14.1±0.7 | 600 | 89.6±1.3 | 525 | 10.4±1.3 | 75 |
Table 3.
Characteristics | Unweighted frequency (N) | Weighted (%) | FEV1/FVCa | FEV1/FEV6a | ||
---|---|---|---|---|---|---|
Estimate±SE | Pb | Estimate±SE | Pb | |||
Age group | <0.001 | <0.001 | ||||
40–49 (A) | 1,204 | 38.3±1.1 | 0.793±0.002 | (A≠B≠C≠D≠E)c | 0.810±0.002 | (A≠B≠C≠D≠E)c |
50–59 (B) | 1,197 | 31.4±1.0 | 0.758±0.003 | 0.786±0.002 | ||
60–69 (C) | 993 | 17.4±0.7 | 0.716±0.003 | 0.758±0.003 | ||
70–79 (D) | 572 | 11.5±0.6 | 0.678±0.005 | 0.727±0.004 | ||
80-highest (E) | 58 | 1.5±0.3 | 0.634±0.015 | 0.688±0.011 | ||
Total | 4,024 | 100.0 |
Table 4.
Clinical variable | B | SE | OR (95% CI) | Pa |
---|---|---|---|---|
Smoking status | <0.001 | |||
Current-smoking | 0.607 | 0.168 | 1.834 (1.319–2.551) | |
Past-smoking | 0.748 | 0.157 | 2.112 (1.551–2.875) | |
Non-smoking | 1.000 (reference) | |||
Age group | <0.001 | |||
40–49 | 1.000 (reference) | |||
50–59 | 0.805 | 0.191 | 2.236 (1.537–3.252) | |
60–69 | 1.718 | 0.167 | 5.574 (4.018–7.732) | |
70–79 | 2.588 | 0.189 | 13.300 (9.175–19.281) | |
80 and over | 3.302 | 0.389 | 27.163 (12.649–58.330) | |
Smoking duration, y | 0.051 | 0.004 | 1.052 (1.044–1.061) | <0.001 |
Smoking amount, pack/day | 0.199 | 0.077 | 1.221 (1.050–1.419) | 0.010 |
Smoking index, pack∗y | 0.022 | 0.002 | 1.022 (1.017–1.026) | <0.001 |
Table 5.
Clinical variable | Estimate±SE(%) | Unweighted N | B±SE | OR (95% CI) | Pa |
---|---|---|---|---|---|
Total | 100.0 | 3,939 | |||
Smoking status | |||||
Current-smoking | 41.8±1.0 | 1,449 | 0.741±0.213 | 2.099 (1.382–3.188) | 0.001 |
Past-smoking | 44.1±1.0 | 1,890 | 0.380±0.188 | 1.463 (1.012–2.115) | 0.043 |
Non-smoking | 14.1±0.7 | 600 | 1.000 (reference) | ||
Age, per 1-year increase | 0.097±0.006 | 1.102 (1.090–1.115) | <0.001 | ||
SI, per 1-pack∗year increase | 0.012±0.003 | 1.012 (1.007–1.018) | <0.001 |