Journal List > Korean J Adult Nurs > v.31(3) > 1128020

Yun: Factors related to Asthma in Korean Adults: A Secondary Data Analysis of the Korea National Health and Nutrition Examination Survey from 2016

Abstract

Purpose

The purpose of this study was to identify the prevalence of asthma and related factors in Korean adults using national health statistics.

Methods

This study used statistical data from the 2016 Korea National Health and Nutrition Examination Survey. The subjects were 5,841 adults aged 19 years or older. The collected data included questions about general, health and disease-related characteristics. Data were analyzed by complex sample test and complex sample multiple logistic regression analysis with the SPSS/WIN 24.0 program.

Results

The prevalence of asthma was 2.7%. Factors related to asthma were age (Odds Ratio [OR]=2.21, 95% Confidence Interval [CI]=1.32~3.70), depression (OR=2.62, 95% CI=1.41~4.86), allergic rhinitis (OR=3.51, 95% CI=2.26~5.45), and atopic dermatitis (OR=5.82, 95% CI=3.21~10.53).

Conclusion

The results of this study showed that asthma-related factors in Korean adults were age, depression, allergic rhinitis and atopic dermatitis. Therefore, considering these factors, it may be helpful to educate about depression - related nursing intervention for asthma patients and to prevention of allergic antigen exposure for asthma patients.

REFERENCES

1. Global Initiative for Asthma. Pocket guide for asthma management and prevention [Internet]. Fontana: 2019 Global Initiative for Asthma;2019. [cited 2019 April 12]. Available from:. https://ginasthma.org/wp-content/uploads/2019/04/GINA-2019-main-Pocket-Guide-wms.pdf.
2. Statistics Korea. Experiences of asthma diagnosis [Internet]. Seoul: Statistics Korea;2016. [cited 2018 October 15]. Available from:. http://kosis.kr/statHtml/statHtml.do?orgId=117&tblId=DT_117_12_Y086&conn_path=I2.
3. Statistics Korea. Trends experiences of asthma diagnosis: sex, age 19 and over [Internet]. Seoul: Statistics Korea;2016. [cited 2018 October 15]. Available from:. http://kosis.kr/statHtml/statHtml.do?orgId=117&tblId=DT_11702_N112&conn_path=I2.
4. Chung M-H, Park H. Symptom experiences, sleep quality and quality of life for patients with asthma. Journal of the Korea Academia-Industrial cooperation Society. 2016; 17(11):616–28. https://doi.org/10.5762/KAIS.2016.17.11.616.
crossref
5. Kim MN, Lee WK, Park JY. The ecological analysis of asthmatic occurrence in patients: using the national health insurance data. Journal of the Korean Data & Information Science Society. 2013; 24(4):679–88. https://doi.org/10.7465/jkdi.2013.24.4.679.
6. Mazurek JM, Syamlal G. Prevalence of asthma, asthma attacks, and emergency department visits for asthma among working adults - national health interview survey, 2011-2016. Morbidity and Mortality Weekly Report. 2018; 67(13):377–86. https://doi.org/10.15585/mmwr.mm6713a1.
crossref
7. Cho SH. Korean guideline for asthma [Internet]. Seoul: The Korean Academy of Asthma, Allergy and Clinical Immunology;2015. [cited 2018 October 15]. Available from:. http://www.allergy.or.kr/board/view.html?code=notice&num=1378.
8. Yu J. Allergic march: progression from atopic dermatitis to asthma. Korean Journal of Asthma, Allergy and Chinical Immunology. 2012; 32(3):137–43.
9. Shin NE, Yoo SM, Kim KN, Lee SY, Lee EJ, Kim HB, et al. The relation of overweight to asthma and other allergic diseases in high school students in Korea. Korean Journal of Family Medicine. 2009; 30(4):269–76. https://doi.org/10.4082/kjfm.2009.30.4.269.
crossref
10. Shin J-Y, Kwon B, Sin H-S, Ye Y-M, Park H-S, Nahm D-H. Association between IgG autoantibodies to cytokeratin 18 protein and clinical severity in adult asthmatic patients. Korean Journal of Asthma, Allergy and Chinical Immunology. 2006; 36(3):219–24.
11. Lee T, Kim J, Kim S, Kim K, Park Y, Kim Y, et al. Risk factors for asthma-related healthcare use: longitudinal analysis using the NHI claims database in a Korean asthma cohort. PLoS ONE. 2014; 9(11):e112844. https://doi.org/10.1371/journal.pone.0112844.
crossref
12. Jun HJ, Ly SY. Asthma prevalence of Korean adults and related variables. Poster session presented at: Korean Living Science Association 2012 Conference & Winter Conference Publishing. 2012. November 30; Cheongju.
13. Lee SH. Association between asthma and obesity among Korean adult: base on community health survey 2009~2011 [master's thesis]. Seoul: Korea University;2015. p. 17–46.
14. Park IS, Yun HK. Asthma worsening factors of adolescent asthma patients in Korea -associated with intake of antioxi-dant food-. Journal of Digital Convergence. 2017; 15(6):297–304. https://doi.org/10.14400/JDC.2017.15.6.297.
15. Piipari R, Jaakkola JJK, Jaakkola N, Jaakkola MS. Smoking and asthma in adults. European Respiratory Journal. 2004; 24(5):734–9. https://doi.org/10.1183/09031936.04.00116903.
16. Lee JS. The association between smoking and asthma. Allergy Asthma & Respiratory Disease. 2018; 6(3):137–40. https://doi.org/10.4168/aard.2018.6.3.137.
crossref
17. Lee H-M, Oh H-W, Yoon S-P, Yoon Y-W, Jo C-H. Relationship between obesity and prevalence of adult allergic disease: the sixth Korea national health and nutrition examination survey (2013). Korean Journal of Family Medicine. 2016; 6(3):185–90. https://doi.org/10.21215/kjfp.2016.6.3.185.
18. Lin Y-C, Lai C-C, Chien C-C, Chen C-M, Chiang S-R, Ho C-H, et al. Is insomnia a risk factor for new-onset asthma? A population-based study in Taiwan. BMJ Open. 2017; 7:e018714. https://doi.org/10.1136/bmjopen-2017-018714.
crossref
19. Guarnieri M, Balmes JR. Outdoor air pollution and asthma. The Lancet. 2014; 383(9928):1581–92. https://doi.org/10.1016/S0140-6736(14)60617-6.
crossref
20. Han S-H, Park J-S, Seo S-H, Yoon JE, Jee SH. Factors affecting the morbidity related to respiratory dieseases in urban Korea. Korea Journal of Population Studies. 2005; 28(2):205–17.
21. Hwang SJ, Kim JH, Chung SH, Park DH, Shim JW, Kim DS, et al. Impact of environmental tobacco smoke exposure and home environment on asthma and wheeze in school children. Pedi-atric Allergy and Respiratory Disease. 2010; 20(4):238–46.
22. Northridge J, Ramirez OF, Stingone JA, Claudio L. The role of housing type and housing quality in urban children with asthma. Journal of Urban Health. 2010; 87(2):211–24. https://doi.org/10.1007/s11524-009-9404-1.
crossref
23. Park SY, Kwon HS, Kim H, Yang HJ, Cho YS. The prevalence and incidence of asthma in Korea using Korea national health and nutrition examination survey. Obstructive Lung Disease. 2016; 4(1):23–32.
24. Van Lieshout RJ, Bienenstock J, MacQueen GM. A review of candidate pathways underlying the association between asthma and major depressive disorder. Psychosomatic Medicine. 2009; 71(2):187–95. https://doi.org/10.1097/PSY.0b013e3181907012.
crossref
25. Brunner WM, Schreiner PJ, Sood A, Jacobs Jr DR. Depression and risk of incident asthma in adults. The CARDIA study American Journal of Respiratory and Critical Care Medicine. 2014; 189(9):1044–51. https://doi.org/10.1164/rccm.201307-1349OC.
26. To T, Stanojevic S, Moores G, Gershon AS, Bateman ED, Cruz AA, et al. Global asthma prevalence in adults: findings from the cross-sectional world health survey. BMC Public Health. 2012; 12:204. https://doi.org/10.1186/1471-2458-12-204.
crossref
27. Scott KM, Von Korff M, Ormel J, Zhang MY, Bruffaerts R, Alonso J, et al. Mental disorders among adults with asthma: results from the World Mental Health Survey. General Hospital Psychiatry. 2007; 29(2):123–33. https://doi.org/10.1016/j.genhosppsych.2006.12.006.
crossref
28. Kim WJ, Bae H, Choi BK, Hwang JM, Shin KW, Kim MH, et al. Depressive conditions in relation to asthma severity and control. Tuberculosis and Respiratory Diseases. 2010; 69(4):265–70. https://doi.org/10.4046/trd.2010.69.4.265.
crossref
29. Jang AS, Kim SH, Kim TB, Park HW, Kim SH, Chang YS, et al. Impact of atopy on asthma and allergic rhinitis in the cohort for reality and evolution of adult asthma in Korea. Allergy, Asthma & Immunology Research. 2013; 5(3):143–9. https://doi.org/10.4168/aair.2013.5.3.143.
crossref
30. Choi J-H. Allergic rhinitis and comorbidities. Korean Journal of Medicine. 2013; 85(5):457–62. https://doi.org/10.3904/kjm.2013.85.5.457.
crossref
31. Choi J-E, Shin T-R, Park S-M, Kim J-H, Shin S-H, Lee H-Y, et al. Association of body mass index with airway hyper-responsiveness and lung function in adult asthmatics. Allergy Asthma & Respiratory Disease. 2014; 2(1):16–22. https://doi.org/10.4168/aard.2014.2.1.16.
crossref
32. Son KY, Park KS, Hwang HH, Yun BS, Lee SJ, Kim MA, et al. Prevalence of allergic diseases among primary school children in Ilsan, Gyeonggi and changes of symptoms after environmental control in 2005. Allergy Asthma & Respiratory Disease. 2007; 17(4):348–93.
33. Kim NY. The status of the exposure levels of children suffering from respiratory allergies to environmental factors [master's thesis]. Daegu: Kyungpook National University;2009. p. 9–18.
34. Skaaby T, Kilpeläinen TO, Taylor AE, Mahendran Y, Wong A, Ahluwalia TS, et al. Association of alcohol consumption with allergic disease and asthma: a multicentre Mendelian ran-domization analysis. Addiction. 2019; 114(2):216–25. https://doi.org/10.1111/add.14438.
crossref
35. Rosenberg SL, Miller GE, Brehm JM, Celedón JC. Stress and asthma: novel insights on genetic, epigenetic, and immunologic mechanisms. Journal of Allergy and Clinical Immunology. 2014; 134(5):1009–15. https://doi.org/10.1016/j.jaci.2014.07.005.
crossref

Table 1.
Prevalence of Asthma in Adults (N=5,842)
Group n Weight n Weight %
Asthma group 165 1,061,056.66 2.7
Non-asthma group 5,677 38,563,635.08 97.3
Table 2.
Comparison of General, Health-related, and Disease-related Characteristics of Asthma Group and Non-asthma Group (N=5,842)
Characteristics Categories Non-asthma group (n=5,677) Asthma group (n=165) x2 or t p
n weight % n weight %
Gender Women 3,227 50.3 115 64.7 12.77 .004
Men 2,450 49.7 50 35.3
Age (year) 19~64 4,246 84.3 88 65.3 32.67 .001
≥65 1,431 15.7 77 34.7
Education Middle school or less 1,764 24.0 90 44.2 29.32 .001
High school 1,808 36.3 39 26.8
College or more 2,067 39.7 34 29.0
Household income Low 1,077 16.0 64 32.3 27.96 .001
Low to middle 1,402 23.3 37 23.1
Middle to high 1,565 29.8 28 18.5
High 1,618 30.9 35 26.1
House type General house§ 2,574 44.1 91 56.8 9.90 .007
Apartment 3,103 55.9 74 43.2
Administrative district Dong 4,586 84.6 127 78.7 3.69 .116
Eup, Myeon# 1,091 15.4 38 21.3
Smoking Everyday 890 19.0 23 14.6 4.30 .451
Sometimes 153 3.4 4 4.3
Past 1,184 21.0 30 17.4
None 3,421 56.5 106 63.7
Alcohol drinking experience Yes 3,046 59.5 65 49.9 5.62 .053
No 2,605 40.5 97 50.1
BMI (kg/m2) 18.5 218 4.1 5 3.5 3.36 .445
18.5~24.9 3,461 60.5 101 66.1
25~29.9 1,681 29.9 53 27.3
30 311 5.6 6 3.0
Average sleep time during weekdays (hours a day) (M± SE) 7.00±0.02 7.08±0.12 -0.67 .506
Stress High 1,504 27.5 58 33.9 2.99 .125
Low 4,140 72.5 105 66.1
Depression Yes 252 4.4 25 14.5 23.54 .001
No 5,424 95.6 140 85.5
Allergic rhinitis Yes 760 14.7 54 36.9 44.98 .001
No 4,916 85.3 111 63.1
Atopic dermatitis Yes 145 3.1 16 16.9 47.24 .001
No 5,531 96.9 149 83.1

BMI=body mass index;

n=non-weighted sample size;

No response excluded;

§ General house=detached house, row house, multiplex housing, house within commercial building, others.

A dong is the smallest level of urban government;

An eup is similar to the unit of town. The minimum population to form an eup is 20,000;

# Myeons are smaller than eups and represent the rural areas of a county or city.

Table 3.
Factors related to Asthma in Adults (N=5,842)
Characteristics Categories B Odds ratio 95% CI p
Gender Women 0.30 1.36 0.89~2.06 .155
Men 1.00 1.00    
Age (year) 19~64 1.00 1.00 1.32~3.70 .003
≥65 0.79 2.21    
Education Middle school or less 0.49 1.63 0.86~3.06 .131
High school 0.01 1.01 0.58~1.77 .963
College or more 1.00 1.00    
Household income Low 0.17 1.18 0.62~2.25 .607
Low to middle -0.10 0.91 0.50~1.67 .758
Middle to high -0.39 0.68 0.35~1.32 .252
High 1.00 1.00    
House type General house 0.32 1.38 0.96~1.97 .078
Apartment 1.00 1.00    
Depression Yes 0.96 2.62 1.41~4.86 .002
No 1.00 1.00    
Allergic rhinitis Yes 1.26 3.51 2.26~5.45 .001
No 1.00 1.00    
Atopic dermatitis Yes 1.76 5.82 3.21~10.53 .001
No 1.00 1.00    

Goodness of fit test of the model: p<.001; CI=confidence interval;

No response excluded;

General house=detached house, row house, multiplex housing, house within commercial building, others.

TOOLS
Similar articles