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"Forced Expiratory Volume"

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"Forced Expiratory Volume"

Original Articles
Background

Although chronic obstructive pulmonary disease is a known cause of secondary polycythemia with elevated erythropoietic demands in response to hypoxemia, anemia is relatively common in patients with chronic obstructive pulmonary disease and is related to increased mortality. However, little is currently known about the relationship between various iron parameters and disease severity in chronic obstructive pulmonary disease patients.

Methods

Data from the fifth Korean National Health and Nutrition Examination Survey, a population-based epidemiologic survey conducted in 2010–2012, were used. A total of 1,129 patients with chronic obstructive pulmonary disease were examined to reveal the associations between the forced expiratory volume in 1 second (FEV1) and hemoglobin and iron parameters, including serum iron, ferritin, total iron binding capacity, and transferrin saturation, using Spearman correlations and multiple linear regression analyses.

Results

The FEV1 was positively correlated with serum hemoglobin (γ=0.37, P<0.001), iron (γ=0.20, P<0.001), transferrin saturation (γ=0.19, P<0.001), and ferritin (γ=0.22, P<0.001), and negatively correlated with age (γ=−0.40, P<0.001) and lower in female patients (γ=−0.56, P<0.001) in the Spearman correlation. The FEV1 was independently associated with serum iron (β=0.049, P=0.035) and transferrin saturation (β=0.049, P=0.035) after adjusting for age, sex, and body mass index in the multiple linear regression analyses.

Conclusion

The serum iron and transferrin saturation levels were independently associated with FEV1 as a marker of chronic obstructive pulmonary disease severity.

Citations

Citations to this article as recorded by  
  • The interrelation between spirometric and erythrocyte indices in chronic obstructive pulmonary disease and its combination with hypothyroidism
    S. V. Kashul, O. S. Khukhlina
    Reports of Vinnytsia National Medical University.2025; 29(1): 64.     CrossRef
  • Extrapulmonary Comorbidities Associated with Chronic Obstructive Pulmonary Disease: A Review
    Yurong Xiang, Xiaobin Luo
    International Journal of Chronic Obstructive Pulmonary Disease.2024; Volume 19: 567.     CrossRef
  • Anemia in chronic obstructive pulmonary disease: A systematic review
    Mohsen Alisamir, Mina Ebrahimi, Fakher Rahim
    Respiratory Investigation.2022; 60(4): 510.     CrossRef
  • Study of lung function test in association with laboratory findings of serum iron in patients with chronic obstructive pulmonary disease
    Sunil Kumar Gothwal, Vikram Palsaniya, Harish Chandra Barjatiya, Ruchita Banseria, Piush Sharma, Pramod Kumar Goyal, Vasudeva Murthy Challakere Ramaswamy, Yogendra Singh, Gaurav Gupta
    Clinical Epidemiology and Global Health.2022; 16: 101091.     CrossRef
  • 4,817 View
  • 58 Download
  • 10 Web of Science
  • 4 Crossref
The Association of Lung Age with Smoking Status in Korean Men
Hye Young Oh, Hong Soo Lee, Sang Wha Lee, Kyung Won Shim, Hyejin Chun, Joo Yeon Kim
Korean J Fam Med 2014;35(1):35-41.   Published online January 23, 2014
DOI: https://doi.org/10.4082/kjfm.2014.35.1.35
Background

Lung age, calculated from sex, forced expiratory volume in one second (FEV1), and height, was developed to illustrate premature changes to the lungs and could be used to motivate smoking cessation. However, this method has not been tested in association with smoking in Korea. The purpose of this study was to investigate the association of lung age with smoking and other factors in Korean males.

Methods

We reviewed the records of 1,100 healthy men who visited a health promotion center at Ewha Womans University Medical Center from January 2008 to June 2009. Lung age was calculated from FEV1 and normal predictive values of spirometry according to age in the Korean population. The difference between lung age and chronological age was evaluated in relation to smoking status, weight, body mass index, waist, muscle mass, fat mass, and exercise.

Results

The age difference was significantly higher in current smokers than in non-smokers (12.47 ± 19.90 vs. 7.30 ± 19.52, P < 0.001). Additionally, the age difference was positively correlated with life time pack-year (β = 0.223; P < 0.001) and fat mass (β = 0.462; P < 0.001). Lung age increased 1 year for 4.48 pack-year increase or for 2.16% increase in fat mass.

Conclusion

We found a significant relationship between lung age and both smoking status and fat mass in healthy Korean males. Lung age may be a useful tool for motivating cessation of cigarette smoking and management of risk factors related to obesity.

Citations

Citations to this article as recorded by  
  • Developing a predictive equation of muscular age to evaluate muscle health in Chinese community-dwelling older women
    Xiaoguang Zhao, Jiabin Yu, Nan Liu
    Health Care for Women International.2023; 44(12): 1587.     CrossRef
  • Effect of smoking status on spirometric lung age in adult Chinese Men
    Xiaoguang Zhao, Chenya Du
    Health & Social Care in the Community.2022; 30(4): 1384.     CrossRef
  • Comparison of periodontal status and salivary IL-15 and -18 levels in cigarette-smokers and individuals using electronic nicotine delivery systems
    Dena Ali, Isaac Kuyunov, Jagan Kumar Baskaradoss, Toshinari Mikami
    BMC Oral Health.2022;[Epub]     CrossRef
  • A pilot randomized controlled trial on the effectiveness of a ‘lung age’ intervention on smoking cessation: study protocol
    Imran Muhammad, Wenqi Mok, Hai Moy Toh, Daniel Sii, Wenru Wang
    Journal of Advanced Nursing.2015; 71(10): 2426.     CrossRef
  • 4,484 View
  • 41 Download
  • 10 Web of Science
  • 4 Crossref
The Relationship between Metabolic Syndrome and Pulmonary Function
Myoung-Sook Bae, Jee-Hae Han, Jung-Hwan Kim, Yeong-Ju Kim, Kyung-Jin Lee, Kil-Young Kwon
Korean J Fam Med 2012;33(2):70-78.   Published online March 30, 2012
DOI: https://doi.org/10.4082/kjfm.2012.33.2.70
Background

Impaired lung function is associated with mortality rate from cardiovascular and all other death causes. There were previous studies on the relationship between lung function impairment and metabolic syndrome, but they are insufficient. This study was conducted on Koreans to analyze each component of metabolic syndrome as well as its variability between sexes.

Methods

1,370 subjects underwent a health examination at the Eulji General Hospital Health Center. We examined the association between lung function measurement (forced expiratory volume for 1 second [FEV1], forced vital capacity [FVC], FEV1/FVC) and metabolic syndrome using Student t-test, Pearson partial correlation coefficient, and analysis of covariance for statistical analysis, and we adopted metabolic syndrome defined by American Heart Association/National Heart, Lung, and Blood Institute in Asia.

Results

Men with metabolic syndrome tended to experience lung function impairment. In terms of association to each metabolic syndrome component, metabolic syndrome components in men were associated with pulmonary function impairment and the more metabolic syndrome diagnostic criteria factors the patients had, the more severe their pulmonary function tended to decline. In women, waist circumference, triglyceride and high-density lipoprotein cholesterol were associated with pulmonary function change.

Conclusion

In men, all metabolic syndrome components were associated with pulmonary function impairment, and the more metabolic syndrome components men had, the more severe their pulmonary functions decline. In women, components of metabolic syndrome were not associated with pulmonary function impairment.

Citations

Citations to this article as recorded by  
  • Increased Apolipoprotein B/Apolipoprotein A-I Ratio Is Associated With Decline in Lung Function in Healthy Individuals: The Kangbuk Samsung Health Study
    Jonghoo Lee, Hye Kyeong Park, Min-Jung Kwon, Soo-Youn Ham, Hyun-Il Gil, Si-Young Lim, Jae-Uk Song
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
  • The impact of insulin resistance on the association between metabolic syndrome and lung function: the Kangbuk Samsung Health Study
    Jonghoo Lee, Hye Kyeong Park, Min-Jung Kwon, Soo-Youn Ham, Hyun-Il Gil, Si-Young Lim, Jae-Uk Song
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Relationship between metabolic syndrome and pulmonary function in workers with respiratory dust exposure in Iran
    Ziba Loukzadeh, Atefeh Hazery, Zohreh Zare, Amir Houshang Mehrparvar
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2021; 15(4): 102161.     CrossRef
  • MIF signaling blocking alleviates airway inflammation and airway epithelial barrier disruption in a HDM-induced asthma model
    Haibing Lan, Liang Luo, Yu Chen, Meng Wang, Zhihong Yu, Yuanqi Gong
    Cellular Immunology.2020; 347: 103965.     CrossRef
  • Effects of peripheral and different inspiratory muscle training methods in coronary artery disease patients with metabolic syndrome: A randomized-controlled trial
    Kıymet Muammer, Fatma Mutluay, Rengin Demir, Alev Arat Özkan
    Respiratory Medicine.2020; 172: 106119.     CrossRef
  • Emerging Therapeutic Targets for Metabolic Syndrome: Lessons from Animal Models
    Himadri Singh, Samuel Joshua Pragasam, Vijayalakshmi Venkatesan
    Endocrine, Metabolic & Immune Disorders - Drug Targets.2019; 19(4): 481.     CrossRef
  • Study on the Effect of Metabolic Syndrome on Bronchial Asthma
    Shelly Dutta, Bhupendra Gupta
    Journal of Evidence Based Medicine and Healthcare.2019; 6(43): 2803.     CrossRef
  • HMGB1‐induced asthmatic airway inflammation through GRP75‐mediated enhancement of ER‐mitochondrial Ca2+ transfer and ROS increased
    Yanhua Lv, Yanli Li, Dandan Zhang, Anbing Zhang, Weihong Guo, Shunfang Zhu
    Journal of Cellular Biochemistry.2018; 119(5): 4205.     CrossRef
  • The association between the metabolic syndrome and metabolic syndrome score and pulmonary function in non-smoking adults
    Hyun Yoon, Mi Young Gi, Ju Ae Cha, Chan Uk Yoo, Sang Muk Park
    Diabetes and Vascular Disease Research.2018; 15(2): 131.     CrossRef
  • Metabolic Syndrome and Pulmonary Function Indices
    Gholamreza Pouryaghoub, Ramin Mehrdad, Mohammad Mehraban
    Romanian Journal of Diabetes Nutrition and Metabolic Diseases.2018; 25(3): 261.     CrossRef
  • Spirometric prediction equations and the relationship between metabolic syndrome and spirometric parameters from an island in Fujian, China
    Yu‐Sheng Chen, Xiao‐Qin Li, Hong‐Ru Li, Xiao‐Li Yu, Feng‐Feng Lu, Li‐Ping Huang, Yan Miao, Gui‐Qing Wang, Xiao Lin, Shuang‐Qing Lian, Yun‐Hua Lin, Xiang‐E Zhang, Ting Liu, Yan‐Ling Wu
    The Clinical Respiratory Journal.2017; 11(4): 514.     CrossRef
  • The impact of metabolic syndrome on ventilatory pulmonary Functions
    Medhat F. Negm, Tarek S. Essawy, Osama I. Mohammad, Tahany M. Gouda, Ayman M. EL-Badawy, Asmaa G. Shahoot
    Egyptian Journal of Bronchology.2017; 11(4): 293.     CrossRef
  • Metabolic Syndrome and the Lung
    Cynthia W. Baffi, Lisa Wood, Daniel Winnica, Patrick J. Strollo, Mark T. Gladwin, Loretta G. Que, Fernando Holguin
    Chest.2016; 149(6): 1525.     CrossRef
  • Lung function and metabolic syndrome: Findings of National Health and Nutrition Examination Survey 2007–2010 肺功能与代谢综合征:2007–2010全国健康与营养调查研究结果
    Earl S. Ford, Timothy J. Cunningham, Carla I. Mercado
    Journal of Diabetes.2014; 6(6): 603.     CrossRef
  • Relationship Between Pulmonary Function and Metabolic Syndrome, Body Mass Index, Fat Percentage, and Fat Mass
    Jae woong Kim, Dong hyun Kim, Jihyun Ahn, Jaetaek Kim
    The Korean Journal of Obesity.2013; 22(3): 177.     CrossRef
  • 4,102 View
  • 36 Download
  • 15 Crossref
The Relationship between Reduced Lung Function and High Sensitive C-reactive Protein in Healthy Adult Men.
Jung Un Lee, Yu Jin Paek
J Korean Acad Fam Med 2007;28(11):860-866.   Published online November 10, 2007
  • 1,274 View
  • 14 Download
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