KSOEM
Articles
- Page Path
- HOME > Ann Occup Environ Med > Volume 28; 2016 > Article
- Research Article Emphysema prevalence related air pollution caused by a cement plant
- Hyun Seung Lee, Chul Gab Lee, Dong Hun Kim, Han Soo Song, Min Soo Jung, Jae Yoon Kim, Choong Hee Park, Seung Chul Ahn, Seung Do Yu
-
Annals of Occupational and Environmental Medicine 2016;28:17.
DOI: https://doi.org/10.1186/s40557-016-0101-8
Published online: April 7, 2016
Department of Occupational & Environmental Medicine, School of Medicine, Chosun University, 558 Pilmun-daero, Dong-gu Gwangju, 61453 Korea JFIF d d Ducky d qhttp://ns.adobe.com/xap/1.0/ |er˭|I|-fGK.rΛp8XV1%K6mvG+tc+qE &ǸC_Nm:l=_/m5^[dߌڇ.c<%:)tQ$Ow~-aY;UJ >=F)2[nk؆?훐 M=l6[4(O.]2#-H^n#->&mp5~Fӛ+|| S,xag% qkEUzUgæBhߕP(7]kFnq?֖Cpru Z6*rEڊtS|*tI*E}7R<,nUU֫^I7Q*mSly%rdȓd8hE<9oHhMfNSRj[i7D[Rj݊+kდq{"$$H?p \̅S?㭻;t~ R߁ )^/>Qj`yt[w ԛ;² ~+ ߔ_ YW~|o] ?x^ᯛ `ʼn;g)T@vWn]>&4l p+$D̢1l|ȨF%-} .9[}w~
ԠLM9hСablfe&QoW !s ?wjLK?s7yO>(=C~_nyǜu? v 3vyo oI@qV-jeES^[9WoSܝh"l2C1a͔CiJ@3:Pճw= /7ovuk+\V;lDgն <[A+r X~d;m!_s8ݖ;;.0llUC+?i#_crʙ1~C.\q u l8Hܶ2m`ܻM3Tov|Bs rɵ"oLS-
DКw=Tv@f '6|YlD͓Y%-#Ѯo%:&!3o%\J<02;K87>^vgƓ# ;ݝmz^Y6=PS39U%~
&f#
}o!muH; ʲŇ˷yvP+&.7e[3'vR4Yj̗IZ`e˽3o[WU{
m[sUbۋZǾۆl6~9'V*.\S2<Sd*zY[aŶ`]C$n.v^Ʌ
dng>ەZ,Mmϑ :n6nϦezW qUJ4! ۇ4R! =>>F n|Q[{pRO 17ƕ~._I ''00k=b՛o}Osðc2'o\3}ݭQ^ 2 . R1yKȣtAݿ-u ܾw!`?1Whn|gzU o[ECWwjUIן)^h#1ɭ!/Z
np;o;ΗŻkXs."6E`Z1
עӐ9Kl8qd q} 2Stt;#j>;խabONŗ=fwP1j)l6J̶|gV 2`y/0E˛6+ԫ1?
6}KW c\KoKͨ2ۅFws*TԞLיuDx .kCzWXhy۶gLu|%TnupǺl-S* P RaLnT+c+*xl.v!.U=|; !_L̎뱚U=4hm:ٯ"y)$:>%(n}X'p[ȴ
^˒4kƓmzDx
\
'Nq amP7nyN݅=
Department of Radioloy, School of Medicine, Chosun University, 558 Pilmun-daero, Dong-gu Gwangju, 61453 Korea JFIF d d Ducky d qhttp://ns.adobe.com/xap/1.0/ |er˭|I|-fGK.rΛp8XV1%K6mvG+tc+qE &ǸC_Nm:l=_/m5^[dߌڇ.c<%:)tQ$Ow~-aY;UJ >=F)2[nk؆?훐 M=l6[4(O.]2#-H^n#->&mp5~Fӛ+|| S,xag% qkEUzUgæBhߕP(7]kFnq?֖Cpru Z6*rEڊtS|*tI*E}7R<,nUU֫^I7Q*mSly%rdȓd8hE<9oHhMfNSRj[i7D[Rj݊+kდq{"$$H?p \̅S?㭻;t~ R߁ )^/>Qj`yt[w ԛ;² ~+ ߔ_ YW~|o] ?x^ᯛ `ʼn;g)T@vWn]>&4l p+$D̢1l|ȨF%-} .9[}w~
ԠLM9hСablfe&QoW !s ?wjLK?s7yO>(=C~_nyǜu? v 3vyo oI@qV-jeES^[9WoSܝh"l2C1a͔CiJ@3:Pճw= /7ovuk+\V;lDgն <[A+r X~d;m!_s8ݖ;;.0llUC+?i#_crʙ1~C.\q u l8Hܶ2m`ܻM3Tov|Bs rɵ"oLS-
DКw=Tv@f '6|YlD͓Y%-#Ѯo%:&!3o%\J<02;K87>^vgƓ# ;ݝmz^Y6=PS39U%~
&f#
}o!muH; ʲŇ˷yvP+&.7e[3'vR4Yj̗IZ`e˽3o[WU{
m[sUbۋZǾۆl6~9'V*.\S2<Sd*zY[aŶ`]C$n.v^Ʌ
dng>ەZ,Mmϑ :n6nϦezW qUJ4! ۇ4R! =>>F n|Q[{pRO 17ƕ~._I ''00k=b՛o}Osðc2'o\3}ݭQ^ 2 . R1yKȣtAݿ-u ܾw!`?1Whn|gzU o[ECWwjUIן)^h#1ɭ!/Z
np;o;ΗŻkXs."6E`Z1
עӐ9Kl8qd q} 2Stt;#j>;խabONŗ=fwP1j)l6J̶|gV 2`y/0E˛6+ԫ1?
6}KW c\KoKͨ2ۅFws*TԞLיuDx .kCzWXhy۶gLu|%TnupǺl-S* P RaLnT+c+*xl.v!.U=|; !_L̎뱚U=4hm:ٯ"y)$:>%(n}X'p[ȴ
^˒4kƓmzDx
\
'Nq amP7nyN݅=
National Institute of Environmental Research, 42 Hwangyong-ro, Seogu Incheon, 22689 Korea JFIF d d Ducky d qhttp://ns.adobe.com/xap/1.0/ |er˭|I|-fGK.rΛp8XV1%K6mvG+tc+qE &ǸC_Nm:l=_/m5^[dߌڇ.c<%:)tQ$Ow~-aY;UJ >=F)2[nk؆?훐 M=l6[4(O.]2#-H^n#->&mp5~Fӛ+|| S,xag% qkEUzUgæBhߕP(7]kFnq?֖Cpru Z6*rEڊtS|*tI*E}7R<,nUU֫^I7Q*mSly%rdȓd8hE<9oHhMfNSRj[i7D[Rj݊+kდq{"$$H?p \̅S?㭻;t~ R߁ )^/>Qj`yt[w ԛ;² ~+ ߔ_ YW~|o] ?x^ᯛ `ʼn;g)T@vWn]>&4l p+$D̢1l|ȨF%-} .9[}w~
ԠLM9hСablfe&QoW !s ?wjLK?s7yO>(=C~_nyǜu? v 3vyo oI@qV-jeES^[9WoSܝh"l2C1a͔CiJ@3:Pճw= /7ovuk+\V;lDgն <[A+r X~d;m!_s8ݖ;;.0llUC+?i#_crʙ1~C.\q u l8Hܶ2m`ܻM3Tov|Bs rɵ"oLS-
DКw=Tv@f '6|YlD͓Y%-#Ѯo%:&!3o%\J<02;K87>^vgƓ# ;ݝmz^Y6=PS39U%~
&f#
}o!muH; ʲŇ˷yvP+&.7e[3'vR4Yj̗IZ`e˽3o[WU{
m[sUbۋZǾۆl6~9'V*.\S2<Sd*zY[aŶ`]C$n.v^Ʌ
dng>ەZ,Mmϑ :n6nϦezW qUJ4! ۇ4R! =>>F n|Q[{pRO 17ƕ~._I ''00k=b՛o}Osðc2'o\3}ݭQ^ 2 . R1yKȣtAݿ-u ܾw!`?1Whn|gzU o[ECWwjUIן)^h#1ɭ!/Z
np;o;ΗŻkXs."6E`Z1
עӐ9Kl8qd q} 2Stt;#j>;խabONŗ=fwP1j)l6J̶|gV 2`y/0E˛6+ԫ1?
6}KW c\KoKͨ2ۅFws*TԞLיuDx .kCzWXhy۶gLu|%TnupǺl-S* P RaLnT+c+*xl.v!.U=|; !_L̎뱚U=4hm:ٯ"y)$:>%(n}X'p[ȴ
^˒4kƓmzDx
\
'Nq amP7nyN݅=
• Received: May 5, 2015 • Accepted: March 28, 2016
© Lee et al. 2016
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Abstract
-
Background To identify adverse pulmonary health effects due to air pollution derived from a cement plant in Korea. The emphysema prevalence in residents around a cement plant was compared to that in the group who live far away from the plant by chest films (PA and lateral view) and high-resolution computed tomography (HRCT) lung images.
-
Methods From June to August in 2013 and from August to November in 2014, chest films and HRCT scan were conducted on residents over the age of 40 who lived around a cement plant. The residents were divided into two groups; a “more exposed group (MEG)” which consisted of 1,046 people who lived within a 1 km radius and a “less exposed group (LEG)” which consisted of 317 people who lived more than 5 km away from the same plant. We compared the emphysema prevalence and estimated the OR of this between the MEG and the LEG by using a chi-square and logistic regression on chest films and HRCT.
-
Results The emphysema prevalence was 9.1 % in the LEG, 14.3 % in the MEG on chest films and 11.4 %, 17.8 % on the HRCT, respectively. The OR of the emphysema prevalence in MEG was 2.92 (95 % CI 1.77-4.83) on the chest films, 2.56 (95 % CI 1.64–3.99) on the HRCT after sex, age, body mass index (BMI), smoking history, residency period and firewood used history were adjusted. The OR in the less than 29 pack-years smoking history was 1.66 (95 % CI 0.92–3.06) and in the more than 30 pack-years was 3.05 (95 % CI 1.68–5.52) on the chest films, and was 1.68 (95 % CI 0.98–2.90), 2.93 (95 % CI 1.72–4.98) on the HRCT, respectively.
-
Conclusion The emphysema prevalence seems to be affected by the level of exposure to air pollution derived from the cement plant as well as sex, age, BMI, and smoking history in this study. Moreover, the OR of the case of the more exposed to the air pollution was similar to that of the case in smoking.
Background
Exposure to air pollution has been associated with increases in morbidity and mortality due to respiratory and cardiovascular disease. Epidemiological and toxicological research results continued to support the association between air pollution and an increase in the incidence of those diseases [1–3]. Chronic obstructive pulmonary disease (COPD) among respiratory disease is characterized by persistent airflow limitation that is caused by a mixture of small airways disease (obstructive bronchiolitis) and parenchymal destruction (emphysema) [4]. Although cigarette smoking is the most powerful risk factor for COPD, other factors such as occupational exposures, environmental air pollution, genetic factors, lung development abnormalities, accelerated aging, bronchial hyper-reactivity, and socioeconomic statuses are associated with development and progression of COPD [4, 5]. Even if the epidemiological scientific evidence like a longer follow-up period of larger studies on the causal relationship between air pollution and COPD development is still not enough [6], air pollution generally exacerbates respiratory and cardiovascular disease [1, 7, 8], and high level of particulate is associated with an increase of COPD incidence and prevalence [9].
Owing to the air pollution around cement plants, complaints of residents who have lived near the cement plants were a social problem since the late 1970s in Korea. They have always complained of coughing, phlegm and shortness of breath, and thought that this phenomenon might be related to the dust coming from the plants. The emissions in the cement manufacturing process create the combustion such as particulates, carbon dioxide (CO2), nitrogen oxides, sulfur oxides, and heavy metals, and there is an additional cloud of dust generated from the mining and transportation [10–13]. Accordingly, the epidemiologic surveys have been conducted to assess the residents’ health effects of air pollution resulting from the cement plants by the Ministry of Environment (National Institute of Environmental Research) [14]. We reported the health effects of exposure to particulate matters around a cement plant on lung function of residents, which is one part of the epidemiologic survey results. The result was that ventilation impairment rate of pulmonary function test (PFT) is higher in the “more exposed group (MEG)” who lived within a 1 km radius of a cement plant than “less exposed group (LEG)” who lived more than 5 km away from the same plant [10].
However, there is a need for a more objective assessment to health effects of air pollution exposure because PFT results may vary depending on the efforts of examinees. The radiographic test such as chest films (PA and lateral view) and HRCT can be more objective evidence than PFT in that the former does not need the examinee’s efforts in the process of epidemiological survey. Emphysema, the term commonly used for COPD phenotype is defined as anatomically abnormal enlargement of the air spaces owing to destruction and deformation of alveolar walls. It’s not difficult to identify emphysema through chest films and HRCT. The radiographic features of emphysema are the increased lung volume, reduced vascularity, or both on chest films. On HRCT, emphysema is characterized by the presence of areas of abnormally low attenuation, which can be easily contrasted with surrounding normal lung parenchyma [15]. We compared the prevalence of emphysema through chest films and HRCT following the previous report about ventilation impairment between the ‘MEG (more exposed group)’ and ‘LEG (less exposed group)’ of residents living around the cement plants or limestone mines [10]. The objective of this study is to figure out whether there is a difference in emphysema prevalence according to the level of exposure to air pollution derived from a cement plant.
Method
The epidemiological surveyed cement plant is located in a rural town near a big city, and about 13,000 residents live in this town. The survey was done twice with the primary survey conducted from June to September 2013 and additional investigations from August and November 2014. The residents who lived within the 1 km radius of the cement plant were designated as the MEG (case group), the LEG (control group) lived more than 5 km away from the cement plant in an area. Two groups were similar in socioeconomic living conditions of a rural region except for the direction of the wind centering on the plant [10]. Since the origins of COPD can occur from childhood or even in utero [5], it is important to consider the degree of air pollution from the past to the present. However, there is no air pollution data from the past, only being one data measured as a total of 21 days in June, August and October 2103 at the time of the epidemiological survey in the areas surrounding the cement plant [10]. Sufficient explanation about the purpose of the epidemiologic survey was given to residents living around the cement plant area prior to the research [10]. In addition, many of them volunteered to participate in it. MEG (2,287 residents estimated to live there) and LEG (estimated 580 residents) are over 40 years old (total 2,867), and if they were engaged in the cement plant-related working in the past, they were excluded in this analysis (134 among chest x-ray was taken 1,497). The result was as follows: The analyzed participants in the MEG and LEG were 1,046 (45.7 % of 2,287) and 317 (54.6 % of 580) respectively, and a total number was 1,363 (47.5 % of 2,867). Written informed consent was provided before participation. Ethical approval for the study was approved by Institutional Review Board (IRB) of National Institute of Environmental Research.
We took chest films, chest PA and lateral view of the entire participants as a screening test, and HRCT was taken to confirm the people suspicious of emphysema among them. We used a direct digital radiographic (DDR) x-ray systems with automatic exposure control (Titan-2000, Comed Medical Systems Co, Korea) in order to obtain chest films. HRCT images were taken according to a routine protocol of the Chosun university hospital that is the 3-mm thick axial scan during suspended full inspiration in supine position, and the 5-mm thick section of coronal and sagittal reconstruction images using the Aquilion ONE 640 (Toshiba, Japan). Both were taken at an interval of at least one week in 2013 survey, and the primary and second survey were done at an interval of about one year. The candidates who required HRCT scans were those with emphysema on the chest films, and with ventilation impairment on bronchodilator PFT at the primary survey done in 2013. In the second survey of 2014, HRCT scans were conducted for the candidates who could not take that test because of personal reasons in the primary survey. As a result, 376 (27.6 %) out of 1,363 participants took part in the HRCT, 48 (15.1 %) out of 317 in LEG and 328 (31.4 %) in MEG respectively. Radiographic data of both groups were randomly taken without a specific order at a convenient time for participants to visit the hospital.
In order to maintain the consistency and exclude inter-observer bias among radiologists, 18 years of experience pulmonary radiologist read the chest films and HRCT. In addition, to exclude the intra-observer bias of the pulmonary radiologist, the chest films and HRCT were blinded by mixing participants’ films with those of patients on a radiographic reading protocol about HRCT within the hospital. Reading bias is supposed to be relatively small because the HRCT reading in this study that lasted for 2 years from 2013 to 2014 was conducted in the conditions in which respiratory patients are mixed with other general patients in natural way. The emphysema was defined as lung voxels below −950 Hounsfield units in PACS (picture archiving and communication system). Among the various findings from the chest films and HRCT radiologic reading papers, we only chose and analyzed the indisputable case such as emphysema that is obvious to experts in pulmonary radiology [16–19]. There has already existed data about the obvious relationship between air pollution and its effects on lungs and even though there may be a little controversy when it comes to radiographic reading, the possibility of its affecting the results of this study is significant.
We compared the prevalence of emphysema between LEG and MEG on the chest films and HRCT. Therefore, we evaluated the factors that can affect the occurrence of emphysema such as sex, age, body mass index (BMI), smoking, firewood use history, residency period and income status. The subjects were divided into three groups in BMI; more than 25 kg/m2 (obese), 20.0–24.9 kg/m2 and less than 19.9 kg/m2 (thin). In smoking history, we also divided this group into three; never, less than and more than 30 pack years. The residency period was divided into less than and more than 25 years living since the dust collection facilities of the cement plant had been incorporated in the mid-1980s [10]. Income status was divided into less than and more than one million won a month which is average income of the residents in the area. Then we calculated proportions of emphysema on chest films and HRCT respectively in the MEG and LEG based on sex, age, smoking and firewood use history, residency period, and income status. For the proportion of emphysema on HRCT images, the total number of each group was put in the denominator. We tested to identify whether a difference in emphysema prevalence between each of the factors using a chi-square test. We used logistic regression to estimate the odds ratio (OR) of emphysema prevalence on chest films and HRCT images, regarding emphysema presents as dependent variable, groups differently exposed to air pollution derived from the cement plant and other factors (sex, age, smoking and firewood use history, residency period, and income status) as independent variables. A p-value of less than 0.05 was considered statistically significant. All statistical analyses were performed in SPSS 21.
Results
Among the 317 in the LEG, 61.2 % were female and 38.8 % were male (Table 1). In the MEG 1,046 participants were included, 62.6 % female and 37.4 % male. The age distribution was 42.3 % over 70 years in the LEG and 40.5 % in the MEG. The residents whose BMI is over 25 kg/m2 were 42.9 % and less than 19.9 kg/m2 were 6.9 % in MEG, they were significant differences compared to those in LEG. The residency periods of two groups were similar. In addition, in the smoking history, LEG and MEG were very similar. However, in the firewood use history, 64.0 % in LEG were significantly higher than the 45.5 % in the MEG. In other words, LEG and MEG were similar groups in the general characteristics.
Table 1
Descriptive characteristics of study participants
P-value by chi-square test
MEG: ‘more exposed group’ who lived within the 1 km radius of the cement plant
LEG: ‘less exposed group’ who lived 5 km or more away from the cement plant in not related to usually wind direction
Age and Residency period: years, Body mass index (BMI); kg/m2, Smoking: pack-years, Income: ten thousand won (Korea)/month
On chest films, the emphysema prevalence was 14.3 % in the MEG, which was significantly higher than 9.1 % in the LEG (Table 2). The 21.4 % of emphysema prevalence in the male was significantly higher than 8.1 % in the female. As age increased, the emphysema prevalence got higher, 5.1 % in less 59 years of age, 11.2 % in 60–69, and 20.3 % in over 70 years of age. The lower BMI was, the higher the chance of developing emphysema was. In smoking history, emphysema prevalence in the non-smoker was 8.7 %, and in contrast, less than 29 pack-years smokers were 16.0 % and more than 30 pack-years was 28.5 %, which was significantly higher in the more smoking pack-years. Similarly, the emphysema prevalence was higher in the group with firewood using history. The prevalence of emphysema in HRCT images was generally higher than that in the chest films. The emphysema prevalence on HRCT images was 17.8 % in the MEG, which was significantly higher than 11.4 % in the LEG. The difference in emphysema prevalence between the two groups widened slightly more than in chest films. The same went for the difference in sex, aging, and smoking history.
Table 2
Prevalence of emphysema on chest films and HRCT
P-value by chi-square test
MEG: ‘more exposed group’ who lived within the 1 km radius of the cement plant
LEG: ‘less exposed group’ who lived 5 km or more away from the cement plant in not related to usually wind direction
Age and Residency period: years, Body mass index(BMI); kg/m2, Smoking; pack-years, Income: ten thousand won (Korean)/month
Chest films; Chest PA and Lateral view, HRCT; High-resolution computed tomography
The OR values to each variable of chest films and HRCT images were adjusted for all variables through logistic regression (Table 3). On the chest films, the OR of the emphysema prevalence in the MEG was 2.92 times (95 % CI 1.77–4.83) higher than that in the LEG. The OR in male was 2.38 (95 % CI 1.37–4.13) higher than that of female. The OR in an increase in age, in 60–69 and over 70 years was 1.81 (95 % CI 0.96–3.40), 3.36 (95 % CI 1.79–6.31) higher than that in less than 59 years respectively. The OR in the degree of BMI, in 24.9–20.0 kg/m2 group and in less than 19.9 kg/m2 group was 2.83 (95 % CI 1.82–4.40), 16.38 (95 % CI 9.11–29.45) higher than that in residents whose BMI was over 25 kg/m2. The OR in the less than 29 pack-years smoking history was 1.66 (95 % CI 0.92–3.06) and 30 pack-years was 3.05 (95 % CI 1.68–5.52) higher than that in the non-smokers.
Table 3
Odds ratio of emphysema prevalence on chest films and HRCT
Logistic regression with adjusted for all variables, CI: confidence interval
MEG: ‘more exposed group’ who lived within the 1 km radius of the cement plant
LEG: ‘less exposed group’ who lived 5 km or more away from the cement plant in not related to usually wind direction
Age and Residency period: years, Body mass index (BMI); kg/m2, Smoking: pack-years, Income: ten thousand won (Korea)/month
Chest films; Chest PA and Lateral view, HRCT; High-resolution computed tomography
On the HRCT images, the OR of the emphysema prevalence in the MEG was 2.56 (95 % CI 1.64–3.99) higher than that in the LEG. The OR in male was 2.49 (95 % CI 1.53–4.07) higher than that of female. The OR in an increase in age, in 60–69 and over 70 years was 2.61 (95 % CI 1.47–4.62), 5.43 (95 % CI 3.04–9.69) higher than that in less than 59 years respectively. The OR in the degree of BMI, in 24.9–20.0 kg/m2 group and in less than 19.9 kg/m2 group was 2.34 (95 % CI 1.61–3.39), 8.08 (95 % CI 4.70–13.88) higher than that in residents whose BMI was over 25 kg/m2. The OR in the less than 29 pack-years smoking history was 1.68 (95 % CI 0.98–2.90) and 30 pack-years was 2.93 (95 % CI 1.72–4.98) higher than that of the non-smokers. The emphysema prevalence also was affected by sex, age, BMI, and smoking history, but also the level of exposure to dust from the cement plant had an impact on developing emphysema. Moreover, the OR of the case of the more exposed to the dust was similar to that of the case in smoking.
Discussion
COPD and emphysema are the major leading cause of death in the World. COPD is defined as physiologically by persistent airflow limitation, while pulmonary emphysema is defined anatomically by destruction of interalveolar septae and loss of lung tissue. Emphysema is defined as pathological “condition of the lung characterized by abnormal, permanent enlargement of the air spaces distal to the terminal bronchiole, accompanied by destruction of alveolar walls” [20]. Emphysema overlaps only partially with COPD. Clinically COPD is an overlapping disease such as emphysema, chronic bronchitis, and small airways disease [4]. Normal physiological aging results in enlarged alveolar spaces and loss of lung elasticity, whereas in COPD there is destruction of the alveolar walls and fibrosis of peripheral airways [21]. Exposures to particulate matter in air pollution may contribute to the development of emphysema [22]. We were interested in whether there was more occurrence in emphysema when residents had been exposed to PM generated from a cement plant. Unlike PFT on the health effects of dust from the cement plant, taking the radiographic images doesn’t require the examinees’ efforts. Identifying emphysema on the chest films or HRCT is not so difficult to the skilled pulmonary radiologist, and there is not much debate about the reading results [16–19]. Therefore, if there is a difference in the emphysema prevalence in accordance to the degree of exposure to air pollution derived from the cement plant, it can figure out objectively whether it is true or not that the residents feel uncomfortable because of air pollutants that have been leaking continuously for more than 40 years. Therefore, we have attempted such an analysis.
In this cross-sectional study, emphysema prevalence was affected by sex, age, BMI, smoking history and the level of exposure to dust from the cement plant. Generally, emphysema is more pronounced in men than in women [23–29]. The possible explanation for the fact that emphysema is more common in men was that male smoking prevalence are two to three times that of females and males are more exposed to occupational harmful agents [26]. Another possible explanation is that while females have thicker small airway walls relative to luminal perimeters [24], in males the particles can penetrate deeper into the alveolar surface due to a larger airway caliber [26]. Sex hormones also seem to affect sex differences of COPD prevalence. Estrogen act as complex influences on lung growth and development, airway hyper responsiveness, detoxification of tobacco smoke, production of cytokines and triggering a TH2 dominant immune response [28]. BMI is inversely associated with emphysema prevalence [30–34]. But it is independent of age, sex, and smoking history [34]. Although the relationship between BMI and emphysema seems to be related to basal metabolic rate or nutritional depletion, it is unclear if emphysema predisposes to weight loss among COPD patients or whether low body weight contributes to the development of emphysema [32]. Therefore, the causal relationship between obesity and emphysema cannot be established [34]. Smoking is the most common risk factor for COPD [9]. In a systematic review with meta-analysis, the adjusted relative risk estimate of emphysema was 4.51 (95 % CI 3.38–6.02) for never smoker [35].
In this study, the OR of the emphysema prevalence in MEG was 2.92 after adjusted sex, age, BMI, smoking history, residency period and firewood used history. Moreover, the OR of MEG to air pollution derived from the cement plant was similar to in the more than 30 pack-years smoking history. Higher long-term air pollution exposures are associated with emphysema [22]. The mechanisms of emphysema development caused by smoking and air pollution are similar. Alveolar macrophages exposed to dust cause ROS generation, apoptotic cells induction and decreased glutathione, and secrete Interleukin-1β and TNF-α. In other words, the pulmonary toxicity is induced by endocytosis, oxidative stress induced-apoptosis and induction of pro-inflammatory cytokines when alveolar macrophages are exposed to dust [36]. Various air pollutants are discharged in the cement manufacturing processes, mining and transportation of limestone [10–13]. The carbon dioxide, nitrogen oxides (NOx), sulfur oxides (SO2) and aromatic hydrocarbons in the pyroprocessing to make clinker as well as calcium oxide (CaO), silica (SiO2), aluminum trioxide (Al2O3) iron oxide (Fe2O3), magnesium oxide (MgO) and other heavy metals contained in the cement products are discharged into the ambient air [12]. In a study of quantification of ROS and nitric oxide (NO) levels in serum of the residents who exposed to cement emission such as PM, NOx and SO2 [37], ROS was increased while NO was decreased. In another study [38], the phagocytic activity of polymorphonuclear neutrophils (PMNs) was significantly decreased among workers in a cement plant.
In this survey, to determine the concentration of particulate of air pollution in exposed residents, we collected particulate in the atmosphere using low volume sampler in a total of 21 days every seven days in June, August and October [10]. The mean PM10 concentration was 45.5 μg/m3 (95 % CI 37.8 ~ 53.3) in MEG living beside the cement plant, higher than 38.5 μg/m3 (95 % CI 32.3 ~ 44.7) in LEG living a 5 km away point from the cement plant. The mean PM2.5 concentration in MEG was 25.5 μg/m3 (95 % CI 18.7 ~ 32.3), higher than 19.3 μg/m3 (95 % CI 14.1 ~ 24.6) in LEG [10]. This concentration is less than annual mean of air quality guidelines defined by Korea Ministry of Environment (50 μg/m3 for PM10, 10 μg/m3 for PM2.5 μg/m3). However, the measured concentration in this study is close to the level at 24-h mean concentration of the WHO guidelines (50 μg/m3 for PM10, 25 μg/m3 for PM2.5 μg/m3). According to the data submitted by the cement plant during this survey, the concentration of total suspended particulates emitted from the plant was 7,856 tons/year in 1982, which is 258 times that of 2013. It can be assumed that residents who lived close to the cement plant were exposed to higher levels of particulate before dust collection facilities had been implemented in mid-1980s. Because many of the participants in this study are current farmers or people who farmed before, they were always exposed to dust in the soil and to chemical substances like agriculture chemicals [10]. Therefore, we do not claim that the residents were exposed only to the air pollution derived the cement plant. What we want to claim is that though the complex multiple factors such as sex, age, smoking, occupation and genetic factors, etc. contribute to emphysema development, air pollution resulting from the cement plant had an impact that. According to a systematic review and meta-analysis [9], the 10 μg/m3 increment of PM10 in quantitative effects of outdoor air pollution was associated with increase of 1 ~ 6 % in COPD mortality in the case of short-term exposure, while in the case of chronic exposure 10 % increase in mortality was shown. In the other data related to this survey, 70 % of the residents who were living in the area when the cement plant was first built have moved to larger cities now, and the standardized lung cancer incidence and mortality of the remaining residents due to respiratory diseases were slightly higher than those of the whole Korean population. There is also a possibility that the residents whose health was compromised have already died of emphysema or lung cancer [10].
A strength of this study was that the participants are community population, not hospital based subjects. The estimated residents who were more than 40 years old were 2,287 in MEG and 580 in LEG at this survey point, among whom the 1,497 (52.2 %) participated in the chest radiological test. These results in this study of 1,363 among 1,497 except for persons who were engaged in the cement plant-related working in the past occupational history were analyzed. In particular, more than 70 % of residents who were over 60-year-olds and had more than 40-year residence were analyzed. In addition, the MEG and LEG are similar people living in the same rural area with similar occupational (mostly farmers and a small number of merchants), economic and socio-cultural settings except the degree of the exposure to dust from the cement plant depending on how far away they live from the plant and the direction of the wind [10]. Therefore, even though this is a cross-sectional study with small population, it can be interpreted to reflect the result of the exposure to the cement particles for a long time.
There are some limitations on this study. HRCT scan of all the subjects was not taken because of survey cost and radiation risk. HRCT was done to residents who were suspected to have emphysema on the chest films and ventilation impairment on bronchodilator PFT. Therefore, there may be an argument over the fact that the whole participants were used as the denominator in calculating the prevalence of emphysema on HRCT. However, the presence of emphysema on chest films can be confirmed through HRCT, which is considered as a method of serial screening test. And, reading and interpretation done by the only one 18 years of experience pulmonary radiologist expert can be something debatable, and also a major weakness of this manuscript. But it is too basic procedure to university hospital pulmonary radiologists to interpret emphysema. Besides, if need be, the emphysema images with lung voxels below −950 Hounsfield units are easily evaluated by visual checking in PACS. Moreover, we didn’t take quantitative measurement of emphysema because there was no need in radiologic interpretation routine work and the purpose this research was to see the presence of emphysema, which can be another limitation.
Conclusion
Despite some limitations of this study, such as cross-sectional study with small population, emphysema prevalence in more exposed group to air pollution derived from the cement plant was higher than that in the comparative group after all the factors affecting emphysema development such as sex, age, BMI, smoking were adjusted. It means that air pollution derived from the cement plant may have an impact on the health of residents living around the plant.
Acknowlegdements
This study was supported by National Institute of Environmental Research of Korea and Jangseong-gun.
-
Competing interests
The authors declare that they have no competing interests.
-
Authors’ contributions
HSL drafted this manuscript. CGL designed this epidemiological survey and corrected final manuscript as corresponding author. DHK, HSS, HSL, MSJ and JYK conducted the survey and contributed to the data collection. CHP revised this manuscript critically, SCA and SDY contributed to the design this study. All authors read and approved the final manuscript.
NOTES
- 1. Brunekreef B, Holgate ST. Air pollution and health. Lancet 2002;360(9341):1233–1242. 10.1016/S0140-6736(02)11274-8. 12401268.ArticlePubMed
- 2. Teng TH, Williams TA, Bremner A, Tohira H, Franklin P, Tonkin A, Jacobs I, Finn J. A systematic review of air pollution and incidence of out-of-hospital cardiac arrest. J Epidemiol Community Health 2014;68(1):37–43. 10.1136/jech-2013-203116. 24101168.ArticlePubMed
- 3. Kelly F, Fussell J. Air pollution and airway disease. Clin Exp Allergy 2011;41(8):1059–1071. 10.1111/j.1365-2222.2011.03776.x. 21623970.ArticlePubMed
- 4. Vestbo J, Hurd SS, Agusti AG, Jones PW, Vogelmeier C, Anzueto A, Barnes PJ, Fabbri LM, Martinez FJ, Nishimura M, Stockley RA, Sin DD, Rodriguez-Roisin R. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med 2013;187(4):347–365. 10.1164/rccm.201204-0596PP. 22878278.ArticlePubMed
- 5. Postma DS, Bush A, van den Berge M. Risk factors and early origins of chronic obstructive pulmonary disease. Lancet 2015;385(9971):899–909. 10.1016/S0140-6736(14)60446-3. 25123778.ArticlePubMed
- 6. Schikowski T, Mills IC, Anderson HR, Cohen A, Hansell A, Kauffmann F, Kramer U, Marcon A, Perez L, Sunyer J, Probst-Hensch N, Kunzli N. Ambient air pollution: a cause of COPD? Eur Respir J 2014;43(1):250–263. 10.1183/09031936.00100112. 23471349.ArticlePubMed
- 7. Ljungman PL, Mittleman MA. Ambient air pollution and stroke. Stroke 2014;45(12):3734–3741. 10.1161/STROKEAHA.114.003130. 25300971.ArticlePubMedPMC
- 8. Laratta CR, van Eeden S. Acute exacerbation of chronic obstructive pulmonary disease: cardiovascular links. Biomed Res Int 2014;2014:528789. 10.1155/2014/528789. 24724085.ArticlePubMedPMCPDF
- 9. Song Q, Christiani DC, Xiaorong W, Ren J. The global contribution of outdoor air pollution to the incidence, prevalence, mortality and hospital admission for chronic obstructive pulmonary disease: a systematic review and meta-analysis. Int J Environ Res Public Health 2014;11(11):11822–11832. 10.3390/ijerph111111822. 25405599.ArticlePubMedPMC
- 10. Kim SH, Lee CG, Song HS, Lee HS, Jung MS, Kim JY, Park CH, Ahn SC, Yu SD. Ventilation impairment of residents around a cement plant. Ann Occup Environ Med 2015;27(1):1–10. 10.1186/s40557-014-0044-x. 25729584.ArticlePubMedPMCPDF
- 11. van Oss HG, Padovani AC. Cement manufacture and the environment: Part I: Chemistry and technology. J Ind Ecol 2002;6:89–105. 10.1162/108819802320971650.Article
- 12. van Oss HG, Padovani AC. Cement Manufacture and the Environment Part II: Environmental Challenges and Opportunities. J Ind Ecol 2003;7:93–126. 10.1162/108819803766729212.Article
- 13. Chen C, Habert G, Bouzidi Y, Jullien A. Environmental impact of cement production: detail of the different processes and cement plant variability evaluation. J Clean Prod 2010;18(5):478–485. 10.1016/j.jclepro.2009.12.014.Article
- 14. Leem JH, Cho JH, Lee EC, Kim JH, Lee DH, Lee SJ, Lee JY, Kim HC. Clusters of pneumoconiosis among residents near cement factories. Korean J Occup Environ Med 2010;22(2):140–145.ArticlePDF
- 15.
- 16. Barr CCWGRG, Berkowitz EA, Bigazzi F, Bode F, Bon J, Bowler RP, Chiles C, Crapo JD, Criner GJ, Curtis JL. A combined pulmonary-radiology workshop for visual evaluation of COPD: study design, chest CT findings and concordance with quantitative evaluation. COPD 2012;9(2):151–159. 10.3109/15412555.2012.654923. 22429093.ArticlePubMedPMC
- 17. Koenigkam-Santos M, Puderbach M, Gompelmann D, Eberhardt R, Herth F, Kauczor H-U, Heussel CP. Incomplete fissures in severe emphysematous patients evaluated with MDCT: incidence and interobserver agreement among radiologists and pneumologists. Eur J Radiol 2012;81(12):4161–4166. 10.1016/j.ejrad.2012.06.006. 22770581.ArticlePubMed
- 18. Kim SS, Seo JB, Lee HY, Nevrekar DV, Forssen AV, Crapo JD, Schroeder JD, Lynch DA. Chronic obstructive pulmonary disease: lobe-based visual assessment of volumetric CT by Using standard images-comparison with quantitative CT and pulmonary function test in the COPDGene study. Radiology 2013;266(2):626–635. 10.1148/radiol.12120385. 23220894.ArticlePubMedPMC
- 19. Mohsen LA, Gawad EAA, Ibrahiem MA. CT quantification of emphysema: Is semi-quantitative scoring a reliable enough method? Egypt J Radiol Nucl Med 2014;45(3):673–678. 10.1016/j.ejrnm.2014.03.015.Article
- 20. Snider G. The definition of emphysema; report of a National Heart, Lung and Blood Institute. Division of Lung Diseases. Workshop. Am Rev Respir Dis 1985;132:182–185. 4014865.PubMed
- 21. Mercado N, Ito K, Barnes PJ. Accelerated ageing of the lung in COPD: new concepts. Thorax 2015;70(5):482–9. 10.1136/thoraxjnl-2014-206084. 25739910.ArticlePubMed
- 22. Adar SD, Kaufman JD, Diez-Roux AV, Hoffman EA, D’Souza J, Stukovsky KH, Rich SS, Rotter JI, Guo X, Raffel LJ, Sampson PD, Oron AP, Raghunathan T, Barr RG. Air pollution and percent emphysema identified by computed tomography in the multi-ethnic study of atherosclerosis. Environ Health Perspect 2015;123(2):144–151. 25302408.ArticlePubMedPMC
- 23. Dransfield MT, Washko GR, Foreman MG, Estepar RS, Reilly J, Bailey WC. Gender differences in the severity of CT emphysema in COPD. Chest 2007;132(2):464–470. 10.1378/chest.07-0863. 17573503.ArticlePubMed
- 24. Martinez FJ, Curtis JL, Sciurba F, Mumford J, Giardino ND, Weinmann G, Kazerooni E, Murray S, Criner GJ, Sin DD, Hogg J, Ries AL, Han M, Fishman AP, Make B, Hoffman EA, Mohsenifar Z, Wise R. Sex differences in severe pulmonary emphysema. Am J Respir Crit Care Med 2007;176(3):243–252. 10.1164/rccm.200606-828OC. 17431226.ArticlePubMedPMC
- 25. Camp PG, Coxson HO, Levy RD, Pillai SG, Anderson W, Vestbo J, Kennedy SM, Silverman EK, Lomas DA, Pare PD. Sex differences in emphysema and airway disease in smokers. Chest 2009;136(6):1480–1488. 10.1378/chest.09-0676. 19617404.ArticlePubMed
- 26. Grydeland TB, Dirksen A, Coxson HO, Pillai SG, Sharma S, Eide GE, Gulsvik A, Bakke PS. Quantitative computed tomography: emphysema and airway wall thickness by sex, age and smoking. Eur Respir J 2009;34(4):858–865. 10.1183/09031936.00167908. 19324952.ArticlePubMed
- 27. Sverzellati N, Calabro E, Randi G, La Vecchia C, Marchiano A, Kuhnigk JM, Zompatori M, Spagnolo P, Pastorino U. Sex differences in emphysema phenotype in smokers without airflow obstruction. Eur Respir J 2009;33(6):1320–1328. 10.1183/09031936.00109808. 19164351.ArticlePubMed
- 28. Kamil F, Pinzon I, Foreman MG. Sex and race factors in early-onset COPD. Curr Opin Pulm Med 2013;19(2):140–144. 10.1097/MCP.0b013e32835d903b. 23361195.ArticlePubMedPMC
- 29. Aryal S, Diaz-Guzman E, Mannino DM. COPD and gender differences: an update. Transl Res 2013;162(4):208–218. 10.1016/j.trsl.2013.04.003. 23684710.ArticlePubMed
- 30. Guerra S. The Relation of Body Mass Index to Asthma, Chronic Bronchitis, and Emphysema. Chest 2002;122:1256–1263. 10.1378/chest.122.4.1256. 12377850.Article
- 31. Stratelis G, Fransson SG, Schmekel B, Jakobsson P, Molstad S. High prevalence of emphysema and its association with BMI: a study of smokers with normal spirometry. Scand J Prim Health Care 2008;26(4):241–247. 10.1080/02813430802452732. 18846446.ArticlePubMedPMC
- 32. Ogawa E, Nakano Y, Ohara T, Muro S, Hirai T, Sato S, Sakai H, Tsukino M, Kinose D, Nishioka M, Niimi A, Chin K, Pare PD, Mishima M. Body mass index in male patients with COPD: correlation with low attenuation areas on CT. Thorax 2009;64(1):20–25. 10.1136/thx.2008.097543. 18852156.ArticlePubMed
- 33. Rutten EP, Grydeland TB, Pillai SG, Wagers S, Dirksen A, Coxson HO, Gulsvik A, Wouters EF, Bakke PS. Quantitative CT: Associations between Emphysema, Airway Wall Thickness and Body Composition in COPD. Pulm Med 2011;2011:419328. 10.1155/2011/419328. 21647214.ArticlePubMedPMCPDF
- 34. Gu S, Li R, Leader J, Zheng B, Bon J, Gur D, Sciurba F, Jin C, Pu J. Obesity and extent of emphysema depicted at CT. Clin Radiol 2015;70(5):e14–9. 10.1016/j.crad.2015.01.007. 25703460.ArticlePubMedPMC
- 35. Forey BA, Thornton AJ, Lee PN. Systematic review with meta-analysis of the epidemiological evidence relating smoking to COPD, chronic bronchitis and emphysema. BMC Pulm Med 2011;11:36. 10.1186/1471-2466-11-36. 21672193.ArticlePubMedPMCPDF
- 36. Ogunbileje J, Nawgiri R, Anetor J, Akinosun O, Farombi E, Okorodudu A. Particles internalization, oxidative stress, apoptosis and pro-inflammatory cytokines in alveolar macrophages exposed to cement dust. Environ Toxicol Pharmacol 2014;37(3):1060–1070. 10.1016/j.etap.2014.03.021. 24769344.ArticlePubMed
- 37. Mehraj SS, Bhat G, Balkhi HM, Gul T. Health risks for population living in the neighborhood of a cement factory. Afr J Environ Sci Technol 2013;7(12):1044–1052.
- 38. Meo SA, Rasheed S, Khan MM, Shujauddin S, Al-Tuwaijri AS. Effect of cement dust exposure on phagocytic function of polymorphonuclear neutrophils in cement mill workers. Int J Occup Med Environ Health 2008;21(2):133–139. 10.2478/v10001-008-0017-9. 18715837.ArticlePubMed
REFERENCES
Figure & Data
REFERENCES
Citations
Citations to this article as recorded by 
- Health risk assessment of toxic metals and DNA damage in somatic and germ cells by soil and groundwater of a major cement factory in Nigeria
Okunola A Alabi, Funmilayo E Ayeni, Tomiwa A Afolabi
Toxicological Sciences.2025; 203(2): 227. CrossRef - Cement Industry Pollution and Its Impact on the Environment and Population Health: A Review
Alina Bărbulescu, Kamal Hosen
Toxics.2025; 13(7): 587. CrossRef - Assessing heavy metal contamination and health risks in playground dust near cement factory: exposure levels in children
Aşkın Birgül
Environmental Geochemistry and Health.2024;[Epub] CrossRef - Residential Proximity to Biorefinery Sources of Air Pollution and Respiratory Diseases in New York State
Eun Kyung Lee, Xiaobo Xue Romeiko, Wangjian Zhang, Beth J. Feingold, Haider A. Khwaja, Xuesong Zhang, Shao Lin
Environmental Science & Technology.2021; 55(14): 10035. CrossRef - Space-Borne Monitoring of NOx Emissions from Cement Kilns in South Korea
Hyun Cheol Kim, Changhan Bae, Minah Bae, Okgil Kim, Byeong-Uk Kim, Chul Yoo, Jinsoo Park, Jinsoo Choi, Jae-bum Lee, Barry Lefer, Ariel Stein, Soontae Kim
Atmosphere.2020; 11(8): 881. CrossRef - Planning of cement plants for environmentally friendly production: a fuzzy-weighted stochastic multi-objective model
E. Bakhtavar, R. Lotfian, R. Sadiq, K. Hewage
Clean Technologies and Environmental Policy.2019; 21(10): 2005. CrossRef - Cement plant emissions and health effects in the general population: a systematic review
Elena Raffetti, Michele Treccani, Francesco Donato
Chemosphere.2019; 218: 211. CrossRef - Exposure to Traffic Emissions and Fine Particulate Matter and Computed Tomography Measures of the Lung and Airways
Mary B. Rice, Wenyuan Li, Kirsten S. Dorans, Elissa H. Wilker, Petter Ljungman, Diane R. Gold, Joel Schwartz, Petros Koutrakis, Itai Kloog, Tetsuro Araki, Hiroto Hatabu, Raul San Jose Estepar, George T. O’Connor, Murray A. Mittleman, George R. Washko
Epidemiology.2018; 29(3): 333. CrossRef - Exposure assessment of particulate matter and blood chromium levels in people living near a cement plant
Sung Ho Hwang, Jae Bum Park, Kyung Jong Lee
Environmental Geochemistry and Health.2018; 40(4): 1237. CrossRef - Hexavalent chromium and some trace metals in concrete from buildings of different ages in northern Italy
Eric Costeri, Giovanni Martinelli, Giampaolo Sighinolfi, Lorenzo Tassi, Paolo Zannini
Environmental Earth Sciences.2016;[Epub] CrossRef - Air pollution and urinary n-acetyl-B-glucosaminidase levels in residents living near a cement plant
Min Soo Jung, Jae Yoon Kim, Hyun Seung Lee, Chul Gab Lee, Han Soo Song
Annals of Occupational and Environmental Medicine.2016;[Epub] CrossRef
Cite
XML DownloadEmphysema prevalence related air pollution caused by a cement plant
Emphysema prevalence related air pollution caused by a cement plant
| Variables | LEG (n = 317) | MEG (n = 1,046) | Total (n = 1,363) | P-value | |
|---|---|---|---|---|---|
| Sex | Female | 194 (61.2) | 655 (62.6) | 849 (62.3) | 0.684 |
| Male | 123 (38.8) | 391 (37.4) | 514 (37.7) | ||
| Age | ≤59 | 98 (30.9) | 297 (28.4) | 395 (29.0) | 0.337 |
| 60–69 | 85 (26.8) | 325 (31.1) | 410 (30.1) | ||
| ≥70 | 134 (42.3) | 424 (40.5) | 558 (40.9) | ||
| BMI | ≥25.0 | 113 (35.6) | 449 (42.9) | 562 (41.2) | 0.002 |
| 24.9–20.0 | 164 (51.7) | 525 (50.2) | 689 (50.6) | ||
| ≤19.9 | 40 (12.6) | 72 (6.9) | 112 (8.2) | ||
| Residency period | ≤24 | 93 (29.3) | 296 (28.3) | 389 (28.5) | 0.720 |
| ≥25 | 224 (70.7) | 750 (71.7) | 974 (71.5) | ||
| Smoking | Never | 213 (67.2) | 716 (68.5) | 929 (68.2) | 0.854 |
| ≤29 | 51 (16.1) | 155 (14.8) | 206 (15.1) | ||
| ≥30 | 53 (16.7) | 175 (16.7) | 228 (16.7) | ||
| Firewood | Not use | 114 (36.0) | 570 (54.5) | 684 (50.2) | 0.000 |
| Use | 203 (64.0) | 497 (45.5) | 679 (49.8) | ||
| Income | ≥100 | 107 (33.8) | 330 (31.5) | 437 (32.1) | 0.461 |
| ≤99 | 210 (66.2) | 716 (68.5) | 926 (67.9) | ||
| Variables | Number | Chest films | HRCT | |||
|---|---|---|---|---|---|---|
| N (%) | p-value | N (%) | p-value | |||
| Group | LEG | 317 | 29 (9.1) | 0.017 | 36 (11.4) | 0.007 |
| MEG | 1,046 | 150 (14.3) | 186 (17.8) | |||
| Sex | Female | 849 | 69 (8.1) | 0.000 | 84 (9.9) | 0.000 |
| Male | 514 | 110 (21.4) | 138 (26.8) | |||
| Age | ≤59 | 395 | 20 (5.1) | 0.000 | 24 (6.1) | 0.000 |
| 60–69 | 410 | 46 (11.2) | 59 (14.4) | |||
| ≥70 | 558 | 113 (20.3) | 139 (24.9) | |||
| BMI | ≥25.0 | 562 | 32 (5.7) | 0.000 | 50 (8.9) | 0.000 |
| 24.9–20.0 | 689 | 96 (13.9) | 125 (18.1) | |||
| ≤19.9 | 112 | 51 (45.5) | 47 (42.0) | |||
| Residency period | ≤24 | 389 | 24 (6.2) | 0.000 | 44 (11.3) | 0.002 |
| ≥25 | 974 | 155 (15.9) | 178 (18.3) | |||
| Smoking | Never | 929 | 81 (8.7) | 0.000 | 99 (10.7) | 0.000 |
| ≤29 | 206 | 33 (16.0) | 42 (20.4) | |||
| ≥30 | 228 | 65 (28.5) | 81 (35.5) | |||
| Firewood | Not use | 684 | 71 (10.4) | 0.003 | 94 (13.7) | 0.011 |
| Use | 679 | 108 (15.9) | 128 (18.9) | |||
| Income | ≥100 | 437 | 33 (7.6) | 0.000 | 48 (11.0) | 0.000 |
| ≤99 | 926 | 146 (15.8) | 174 (18.8) | |||
| Chest films | HRCT | ||||
|---|---|---|---|---|---|
| Variables | Unadjusted | Adjusted | Unadjusted | Adjusted | |
| OR (95 % CI) | OR (95 % CI) | OR (95 % CI) | OR (95 % CI) | ||
| Group | LEG | 1 | |||
| MEG | 1.66 (1.09-2.53) | 2.92 (1.77-4.83) | 1.69 (1.15-2.47) | 2.56 (1.64-3.99) | |
| Sex | Female | 1 | |||
| Male | 3.08 (2.23-4.26) | 2.38 (1.37-4.13) | 3.34 (2.48-4.50) | 2.49 (1.53-4.07) | |
| Age | ≤59 | 1 | |||
| 60–69 | 2.37 (1.38-4.08) | 1.81 (0.96-3.40) | 2.60 (1.58-4.27) | 2.61 (1.47-4.62) | |
| ≥70 | 4.76 (2.90-7.81) | 3.36 (1.79-6.31) | 5.13 (3.25-8.09) | 5.43 (3.04-9.69) | |
| BMI | ≥25.0 | 1 | |||
| 24.9–20.0 | 2.68 (1.76-4.07) | 2.83 (1.82-4.40) | 2.27 (1.60-3.21) | 2.34 (1.61-3.39) | |
| ≤19.9 | 13.84 (8.27-23.12) | 16.38 (9.11-29.45) | 7.40 (4.60-11.9) | 8.08 (4.70-13.88) | |
| Residency period | ≤24 | 1 | |||
| ≥25 | 2.88 (1.84-4.50) | 2.50 (1.50-4.18) | 1.75 (1.23-2.50) | 1.32 (0.87-1.99) | |
| Smoking | Never | 1 | |||
| ≤29 | 2.00 (1.29-3.09) | 1.66 (0.92-3.06) | 2.15 (1.44-3.20) | 1.68 (0.98-2.90) | |
| ≥30 | 4.18 (2.89-6.03) | 3.05 (1.68-5.52) | 4.62 (3.28-6.50) | 2.93 (1.72-4.98) | |
| Firewood | Not use | 1 | |||
| Use | 1.63 (1.19-2.25) | 1.26 (0.82-1.93) | 1.46 (1.09-1.95) | 1.24 (0.85-1.82) | |
| Income | ≥100 | 1 | |||
| ≤99 | 2.29 (1.54-3.41) | 1.41 (0.84-2.36) | 1.88 (1.33-2.64) | 1.03 (0.65-1.62) | |
Table 1 Descriptive characteristics of study participants
MEG: ‘more exposed group’ who lived within the 1 km radius of the cement plant
LEG: ‘less exposed group’ who lived 5 km or more away from the cement plant in not related to usually wind direction
Age and Residency period: years, Body mass index (BMI); kg/m2, Smoking: pack-years, Income: ten thousand won (Korea)/month
Table 2 Prevalence of emphysema on chest films and HRCT
MEG: ‘more exposed group’ who lived within the 1 km radius of the cement plant
LEG: ‘less exposed group’ who lived 5 km or more away from the cement plant in not related to usually wind direction
Age and Residency period: years, Body mass index(BMI); kg/m2, Smoking; pack-years, Income: ten thousand won (Korean)/month
Chest films; Chest PA and Lateral view, HRCT; High-resolution computed tomography
Table 3 Odds ratio of emphysema prevalence on chest films and HRCT
Logistic regression with adjusted for all variables, CI: confidence interval
MEG: ‘more exposed group’ who lived within the 1 km radius of the cement plant
LEG: ‘less exposed group’ who lived 5 km or more away from the cement plant in not related to usually wind direction
Age and Residency period: years, Body mass index (BMI); kg/m2, Smoking: pack-years, Income: ten thousand won (Korea)/month
Chest films; Chest PA and Lateral view, HRCT; High-resolution computed tomography
