Literature DB >> 34135615

Occupational Cement Dust Exposure and Inflammatory Nemesis: Bangladesh Relevance.

Rahnuma Ahmad1, Qazi Shamima Akhter2, Mainul Haque3.   

Abstract

BACKGROUND: Prolonged, repeated exposure to cement dust, depending on duration and sensitivity of cement dust-exposed workers, may cause deteriorating effects on the skin, eye, respiratory and hematological system. Toxic cement dust causes inflammatory damage to different body organs. White blood cells (WBCs) are considered cellular markers of ongoing tissue inflammation. AIM OF THE STUDY: Determining the influence of occupational cement dust exposure on WBCs with its differentials (inflammatory markers) in workers from the cement manufacturing plant.
METHODOLOGY: Ninety-two seemingly healthy male subjects (46 workers of cement plant and 46 control subjects, who do not contact cement dust, residing in Dhaka) aged between 20 and 50 years participated in this cross-sectional study. This study took place in Dhaka Medical College, Bangladesh, between the years of 2017 and 2018. An automated hematoanalyser was used to assess both the total and differential count of WBC. Data were analyzed with multivariate regression analysis, independent samples t-test, and correlation test.
RESULTS: The total WBC count, differential count of lymphocyte, and eosinophil were significantly (p< 0.05) higher in cement dust-exposed recruits than in the control group. Additionally, multivariate regression analysis revealed that duration of cement dust exposure showed a significant association with total WBC count [odds ratio (OR)=4.42,95%, confidence level (CI) 1.56,12.47, p 0.005]. Furthermore, univariate analysis revealed that the control group (not exposed to cement dust) was less likely to have the total WBC count alteration (OR = 0.122, 95% CI =0.047 to 0.311) than the cement dust-exposed group. The total WBC count showed a significant positive correlation with exposure duration to this toxic dust.
CONCLUSION: Cement dust exposure causes harmful inflammatory responses, as evidenced by increased total and differential WBC count. The period of contact with this toxic dust has an impact on WBC count.
© 2021 Ahmad et al.

Entities:  

Keywords:  Bangladesh; WBC count; biomarkers; cement dust; early detection; exposure; hazard; hematological system; inflammatory response; occupational health; pollution; workers

Year:  2021        PMID: 34135615      PMCID: PMC8200167          DOI: 10.2147/JIR.S312960

Source DB:  PubMed          Journal:  J Inflamm Res        ISSN: 1178-7031


Introduction

The cement industry is a fast-growing globally, and in Bangladesh.1 There has been a boost in the developing market due to sustained construction activity levels, which has led to increased demand for cement.1–3 The cement industry is a source of environmental pollution.4 In the various stages of cement production, dust and particulate matter are released.5,6 Occupational exposures to airborne particulates are estimated to cause 16% of deaths per year throughout the world due to chronic obstructive pulmonary disease (COPD). Additionally, approximately 519,100 deaths in 2016 result from exposure to silica, coal dust, and asbestos annually across the globe.7,8

Cement Dust

Cement dust is an example of mineral dust that constitutes chemical components like silicon, calcium, aluminum, chromium, iron.9–11 This dust is generated in different sections where cement production and processing occur, such as extraction of raw material, crusher, rotary kiln, cranes, mills, storage silos, packing area, etc. (Figure 1).12,13 Crystalline silica is a component of cement dust.11 Quartz is the most common form of crystalline silica, and on the surface of the earth, it is the second most common mineral. Almost every type of rock contains quartz, ie, igneous, metamorphic and sedimentary.14
Figure 1

Dust emission during the different steps of cement dust production.

Dust emission during the different steps of cement dust production. Respirable crystalline silica dust or quartz (smaller than sand found in beaches and pollen) is released into the air during the high-energy cutting, drilling, or grinding stone, rock, concrete, and mortar processes.15 Breathing in silica dust can have damaging effects on human health. Around 23,000,00 working people in the USA alone are coming in contact with quartz in their workplace.16 Some of the harmful effects of respirable crystalline silica include silicosis, chronic respiratory illness like COPD, emphysema, lung carcinoma, pulmonary tuberculosis, small vessel vasculitis, Rheumatoid arthritis, systemic lupus erythematosus (SLE), scleroderma. Chronic exposure to crystalline silica may result in lung cancer and kidney damage.16–18 Another heavy metal present in cement dust is Chromium.9 Chromium (Cr) is a naturally occurring element present in the environment. Many compounds consist of the different oxidant states of chromium, Cr II- Cr IV. Next to the Cr III compound, chromium in the hexavalent form is most stable.19,20 Chromium metal and chromates are produced using the naturally occurring Chromium(III). On the other hand, chromium in the hexavalent state (CrIV) is formed during industrial activities.21 A study carried out in Slovakia in 2018 regarding Cr (VI) content in cement found that it was about 0.2 to 3.2 mg/kg.22 Cr(VI) differs from Cr(III) in its chemistry and toxic properties. Cr (III) may play a role in glucose and lipid metabolism, whereas the very toxic Cr (VI) aggravates DNA damage, chromosomal aberrations. Chromium enters the human body through inhalation, ingestion, and dermal contact.21,23 Repeated exposures to Cr (VI) compounds may cause abnormalities in hematological parameters, gastrointestinal system, and have potential to cause lung cancer.24 Cement dust may enter the human body through the respiratory system and Gastrointestinal system and produce adverse effects.25 Occupational Crystalline Silica exposure results in inflammation in the respiratory system, leading to abnormal tissue repair, disorder, and demise.26 Hundreds of thousands of people are working daily in surroundings that are dusty and are at risk of developing occupational diseases.27

Inflammatory Response

In the human body, inflammation acts as a defense mechanism in which cells and molecules of the immune system form network to eradicate pathogenic substances and protect the body. However, excessive and long-term inflammations may result in tissue damage due to an imbalance of immunocytes and molecules.28 The response to inflammation is the activation of the signaling pathway, leading to the regulation of inflammatory mediators in local cells of the tissue and inflammatory cells recruitment from the blood.29

Signaling Pathway of Inflammation

Signals that arise during tissue damage are danger-associated molecular patterns (DAMPs), leading to induction of biochemical changes and eventual release of NFκB.30 DAMP transmission occurs via Toll-like receptors (TLRs), which activate a series of intracellular signaling pathways.31 TLR (ligand-activated membrane-bound receptors) cause inflammatory responses utilizing NFκB activation.32 The NFκB enters into the nucleus and activates target gene transcription, resulting in products that cause inflammation.30 One such inflammation product is the macromolecular innate immune cell sensor, which produces an inflammatory response by caspase-1 activating and secreting pro-inflammatory cytokines like interleukin 1β.33,34

Recruitment of White Blood Cells During Inflammation

Blood leucocytes that include neutrophils, basophils, eosinophils, monocyte, macrophage, dendritic cells, and lymphocytes (B and T cells) are an essential part of both innate and adaptive immune system which have immune-stimulating or immune-suppressive functions. Alteration in blood WBC picture, occurring due to immune system activities, act as systemic inflammatory markers.35 The release of cytokines, lipid mediators, and vasoactive amines cause leucocyte recruitment during inflammation. If it remains unchecked, the recruited cells cause tissue damage by releasing reactive oxygen and nitrogen.36

Systemic Inflammatory Changes Due to Cement Dust

Cement dust containing toxic substances like aluminum, silica, and chromium at work can trigger inflammatory changes in organs like the liver, skin, and lungs. Lipid peroxidation upon chronic aluminum exposure can lead to kidney failure, toxic changes in the nervous system.37 Aluminum also inhibits alkaline phosphatase, phosphodiesterase, hexokinase enzymes.38 Inhalation of chromium in hexavalent form may result in asthma, nasal blocking, nasopharyngeal pruritus; dermal contact causes skin burns, while ingestion can cause hepatic, renal, gastrointestinal damage.39 The systemic effects of cement dust and its toxic constituents have been researched in various studies.12,40–45 A combined cross-sectional and cross-shift study was conducted among cement dust exposed 40 workers in Ethiopia in 2010 regarding acute lung function. The result analyzed with the unpaired and paired t-test, ANOVA, and Bonferroni test found respiratory symptoms in greater prevalence in workers with cement dust exposure in high amounts. There was 85% nose stuffiness, 47% having breath shortness, 45% with sneezing. The peak expiratory flow was reduced and most marked in subjects with high cement dust exposure. The association between peak expiratory flow, cross shift, and dust exposure level was significantly negative. Association was also found between peak expiratory flow for cross shift and several work years in high dust exposed segments. The research concluded a relationship between acute respiratory symptoms and exposure to dust produced in cement plants.40 Another cross-sectional study conducted in Ethiopia in 2015 researched the prevalence of chronic respiratory system symptoms and factors associated with 404 cement plant workers’ symptoms. Variables associated with chronic symptoms of the respiratory system were found with multivariable regression and adjusted odds ratio. A high prevalence of chronic respiratory system symptoms (62.9%) was noted among cement dust exposed workers, with 24.5% having chronic phlegm, 36.9% chronic wheeze, 24.5% chronic cough, 21.0% chest pain, and 38.6% with chronic shortness of breath. The Association of chronic respiratory system symptoms was found with age, clinker, burner, cement plant, work experience, work safety, health training, smoking, chronic respiratory symptoms, gender with an adjusted odds ratio of 4.20, 2.28, 3.72, 5.44, 2.73, 5.38, 7.79 and 2.07, respectively. Thus, the researchers concluded that the respiratory system’s chronic symptoms were in high prevalence with association factors of age, department of work, level of education, experience at work, training, gender, and smoking in cement plant workers.41 One more south Asian study was conducted among 50 nonsmoking cement manufacturing workers, another 50 subjects were unexposed to cement dust. The research work aimed to study the outcome of cement dust exposure for an extended period on lung functions. The workers were divided into three groups by exposure (5 or less, 5 to 10, >10 years). They reported a significant decrease in Forced vital capacity, Peak Expiratory flow, Maximal Voluntary Ventilation, Forced Expiratory Volume in one second in cement-producing workers working for over ten years, compared to the control group. It was concluded that cement plant workers had significantly reduced lung function and impairment was more pronounced in subjects exposed to the dust for a more extended period.42 Research work was performed in Sokoto, Nigeria, with 56 cement mill workers having a mean of 10.2 ± 5.6 years of cement dust exposure and 96 subjects unexposed to the dust in 2007. The lung function parameters were observed and analyzed. It was noted that Forced Expiratory volume in one second and Vital capacity were reduced significantly in cement dust exposed workers compared to the control (p <0.005 and p < 0.001, respectively). They concluded that chronic exposure to this dust caused lung function impairment.43 A study done in Yemen in 2013 to observe the alteration of respiratory epithelium due to occupational exposure to cement dust reported a change in the cytology of the exposed group that was significant statistically (p< 0.05). Sputum samples of the participants (433 cement dust exposed and 98 control subjects) were studied and statistically analyzed. Among the cases, dysplasia was found in 21 (4.8%), acute inflammatory infiltrated cells in 252 (58.2%), squamous metaplasia in 236 (54.5%), chronic inflammatory infiltrated cells in 45 (10.4%), 54 (13%) with Manila and Antinomies Israeli and viral infection in 39 (9%) exposed subjects. Such findings led the researchers to suggest cement dust to be a risk factor for dysplasia, inflammation, squamous metaplasia, and infection susceptibility.44 Another study was conducted in Kimpese city of the Democratic Republic of the Congo, among 223 exposed and 156 less exposed workers from 2 cement mills in 2016. The study aimed to investigate the association of COPD and respiratory system prevalence symptoms working in cement dust. Multivariate analysis was done to observe this association. It was found that cough on most days and cough in the morning for as long as three months per year was higher in significance (p=0.001 and p < 0.05, respectively) in the group exposed to the dust than o the group less exposed. COPD prevalence in exposed was significantly higher (p<0.001) than in control. The association of workers related to cleaning, production, and transportation department of cement factory with COPD were significant with Adjusted Odds Ratio of 14.49,3.09 and 3.37, respectively. This research suggested that workers of the cleaning, production, and transportation department of the cement industry were at greater risk of developing COPD and symptoms of respiratory system.45 A retrospective cohort study was performed in a cement plant of north Karnataka between 2010 and 2011. The research included 100 workers working at the plant for five years to study workers’ morbidity at the cement plant. Upon researching and analyzing their medical records, it was observed that upper respiratory tract symptoms like allergic rhinitis, runny and stuffy nose were present in 45.3% of participants. Relative risk (RR) for the upper respiratory tract, dermatological, and lower respiratory tract symptoms were 2.6,2.18, and 2.3, respectively. Gastrointestinal tract complaints like diarrhea, hemorrhoids, and constipation were found in 21.8% exposed participants compared to 3.1% of the control group with RR of 1.06.37.5% of the cement dust workers 4.6% of controls who suffered from problems of oral cavity like plaque, caries, pathos ulcer. Musculoskeletal problems were also noted in 18.8% of workers with dust exposure, while 4.6% of control suffered from such problems with 1.7 RR. This study concluded that health problems were more in cement dust-exposed workers than those not exposed to this toxic dust.12

White Blood Cell Count as Inflammatory Markers

In clinical practice, markers are used to check biological processes and evaluate therapeutic responses. The inflammatory response features predict inflammatory disease and observe inflammatory disease cause and outcome relationship.29,46 Analysis of these markers can be a non-specific means of determining underlying diseases.47 WBCs’ absolute and differential counts is considered hematological markers of the systemic response to inflammation. Testing these markers is affordable and measuring these routinely is possible.35 Similar considerable research in Africa, Asia, and the Middle East has observed that cement dust exposure results in hematological alterations, including WBC.11,37,48 A raised WBC may result from inflammation upon exposure to cement dust. Leukocytosis in the peripheral blood is a cellular marker of inflammation and ongoing tissue inflammation. Thus, it might be seen as a biomarker of inflammatory response.49 Researchers in various countries have noted alterations in the total WBC count and its differentials in cement factory workers.37,48,50,51 However, in Bangladesh, data on this topic is not sufficient. This study investigates the influence of occupational cement dust exposure on both total and differential counts of WBCs as inflammatory markers in cement manufacturing plant workers.

Materials and Methods

Study Design

This was a cross-sectional study; 92 healthy male participants were enrolled. Of the 92 recruits, 46 (study group), were occupationally exposed to cement dust for 2 years and more, aged 20–50 years. The study subjects were from a cement manufacturing plant in Munshiganj, Bangladesh. The other 46 subjects (control group) hailed from Dhaka City (The Capital of the Country) of Bangladesh with no cement dust exposure history. The control group was matched with the study group regarding weight, height, age, social and economic conditions.

Sample Size Calculation

The sample size was estimated based on the difference between the two means from the previous study.51 We assumed the level of significance was 5%. The sample size obtained for this study was 46 subjects for each group. [Group A = Study Population, Group B = Control Group, of 46 subjects for each group]

Study Population

The study subjects (Group A) age 20–50 years, who have been occupationally exposed to cement dust for two years and longer were selected from a cement manufacturing plant in Munshiganj, near Dhaka city, Bangladesh. Seemingly, healthy control subjects (Group B) were recruited by personal contact from different parts of Dhaka city after matching height, weight, age, social and economic conditions with the study group. Excluded from this study were those with a history of diseases of the respiratory system, cardiovascular system, hematological system, liver, kidney. Subjects with acute infection, malignancies, history of anticoagulant use, taking iron therapy, chemotherapy, and history of having blood transfusion within three months before the study were excluded. Those subjects having a known history of allergy were also excluded from the study.

Sampling Method

The non-randomized purposive sampling method was used to carry out this study.

Study Period

This study was performed in the year between 2017 and 2018.

Study Place

Physiology Department of Dhaka Medical College located in Dhaka city, Bangladesh

Preparation of Questionnaire

This study’s questionnaire was prepared and adapted from Occupational Safety and Health Administration (OSHA) standard questionnaire52,53 and modified Kuppuswamy socioeconomic scale.54 The questionnaire was modified, considering the criteria of Inclusion, exclusion, and Bangladeshi cultural background. There were three segments in the questionnaire. The demographic data were collected in the first segment. Questions about personal history: a history of smoking, alcohol intake, drug history, family history, medical history, and duration of cement dust exposure (applicable for cement dust-exposed subjects) were included in the second segment. “Yes,” “No,” and “others” were noted as answers for this part of the questionnaire. The values obtained from the participants’ physical examination were recorded in the last segment of the questionnaire.

Data Collection

The questionnaires were prepared in the native language of the participants and English and collected through face-to-face interviews. After explaining the study objectives to the participants, written informed consent was collected from them. Then the information needed for completing the questionnaire was taken from them. The study group from the cement manufacturing plant included participants in the sections with most cement dust in their surroundings, such as bagging, loading, milling, and crushing.51 Coding was done to keep the respondents’ personal information anonymous.

Sample Collection

The ante-cubital vein was located, and 3 mL of blood was drawn from the blood and then transferred to an EDTA anticoagulant containing test tube to determe total WBC count and its' differentials. These parameters were determined with an automated haematoanalyser. The blood sample was analyzed by the Department of Laboratory Medicine, Dhaka Medical College Hospital, Dhaka, Bangladesh.

Data Analysis

The completed questionnaire data were compiled, appropriately sorted, and analyzed using Statistical Package for Social Sciences [(SPSS) IBM Corp. Released 2019. IBM SPSS Statistics for Windows, Version 26.0. Armonk, NY; IBM Corp]. Results were expressed as Frequency, Percentage, Mean with standard deviation, Box Plot, Scatter Diagram, and Bar Diagram. Independent samples t-test was performed to compare the Quantitative data. The chi-square test was used to compare the Qualitative data. Pearson’s correlation (r) test was conducted to ascertain the correlation between total WBC count and cement dust exposure duration. Univariate Regression analysis producing Odds Ratio was done to commemorate the association of the total WBC count between cement dust-exposed recruits and those not exposed to the cement dust. Multivariate Regression analysis producing Odds Ratio was performed to assess the association between the total count of WBC with the duration of cement dust exposure. For the Multivariate Regression analysis, the Dependent Variable was the total WBC count, Independent Variable was the duration of cement dust exposure, and the covariant was Age of the cement dust-exposed recruits. The accepted significance level for the p value was less than 0.05.

Project and Earlier Manuscript Details

The current research was part of a project containing two parts. Chronic exposure to cement dust impacts Red Blood cells (RBC) and hemoglobin (Hb). The study was conducted among cement factory workers in Bangladesh. This section of the project was already published as “Effects of exposure to cement dust on hemoglobin concentration and total count of RBC in cement factory workers.” .55 This part of the study revealed that the total count of RBC was lower among the cement-exposed group than those of the statistically significant control group (p< 0.05). Furthermore, Hb concentration has negatively correlated with the duration of cement dust exposure which was also statistically significant (p<0.001). Chronic exposure to cement dust impacts WBC and inflammatory response. The current discusses the second part of the project.

Difference Between the Two Manuscripts

The first part of the project concentrated on whether anemia was aggravated by occupational exposure to cement dust. The focus of that part of the project was on anemia in cement dust workers because anemia is rampant in a country like Bangladesh.56 This second part of the project regarding the effects of occupational cement dust exposure focuses specifically on changes in the inflammatory markers: Total and differential count of WBCs upon exposure to cement dust. Inflammatory changes brought about by the toxic effects of cement dust may result in the deterioration of human health due to organ damage. Therefore, observing changes in these inflammatory markers can be an inexpensive way of early detection and protection of the lives of many underprivileged workers. The difference between the first part of the project and this present article is that the first part focused only on RBC count and Hemoglobin concentration in cement dust exposed subjects and observed whether this toxic dust aggravates anemia. This article solely focuses on observing whether cement dust triggers inflammation in those exposed to cement dust occupationally. Furthermore, there are differences between the two articles in the methods of data analysis and presentation. In the previous article on the effects of cement dust exposure on Hemoglobin concentration and total RBC count, Independent samples t-test and Pearson’s correlation (r) test were performed; data were presented as Mean, standard deviation, and scatter diagram. Whereas in the current paper of the project, a more detailed data analysis and presentation has been done, which includes Independent samples t-test, chi-square test, Pearson’s correlation (r) test, Univariate Regression analysis producing Odds Ratio and Multivariate Regression analysis producing Odds Ratio and data has been presented as Frequency, Percentage, Mean with standard deviation, Box Plot, Scatter Diagram, and Bar Diagram. Also, more detailed information has been presented for the socioeconomic, personal, medical, and family history in this article which was not included in the previous article. Each part of the project focuses on a different aspect, mechanism of effect, and outcome of cement dust exposure on human health.

Details Ethics Statement

All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Thereby, this study was approved by the Research Review Committee and Ethical Review Committee of Dhaka Medical College Dhaka-1000, Bangladesh [Reference No.: MEU-DMC/ECC/2018/06, dated 02.01.2018]. All the recruits for this study gave written informed consent and the history of all subjects noted in the questionnaire before collecting blood samples from them. All recruits’ socio-economic condition was determined from their educational, occupational, and monthly family income history. The socioeconomic status was divided into high, middle, and low socioeconomic conditions according to the modified Kuppuswamy socioeconomic scale.54 Blood pressure along with the anthropometrical values was measured. Recording of the collected information was done in the questionnaire. Protection of the privacy of the participants was ensured as all the information provided by them remains undisclosed.

Results

Socio-Demographic Characteristics of the Recruits

There were 92 male recruits, 46 were cement dust exposed recruits, and 46 were control subjects. The mean age for cement dust revealed recruits and the control was 33.17± 8.27 years and 33.52± 7.87 years. The mean BMI of the recruits with cement dust exposure and control was 23.14± 2.06 kg/m2 and 23.71 ± 2.61 kg/m2. The Blood Pressure means was found to be 117.72 ± 15.06 mm Hg (Systolic); 71.74 ± 9.51 mm Hg (Diastolic), and 113.04± 12.09 mm Hg (Systolic); 70.87± 9.11mm Hg (Diastolic) in cement dust-exposed recruits and control group, respectively. Age, systolic, diastolic blood pressure, height, weight, and Basal Metabolic Index showed no difference statistically (Table 1, Figures 2–7). Out of the recruits in both groups, the majority were followers of Islam, 42 (91.3%) in cement dust-exposed recruits and 46 (100%) in the control recruits. About 25 (54.3%) and 27 (58.7%) of the cement dust-exposed recruits and control group, respectively, had attended primary school. Another 11 (23.9%) and 9 (19.6%) of the cement dust-exposed recruits and control group, respectively, had obtained the Secondary School Certificate. The rest of the recruits in both groups had no formal education. In the marital status, the Majority of the study recruits were married; 35 (76.1%) in each group were married. 27 (58.7%) of the cement dust-exposed recruits and 26 (56.5%) of the control group received a monthly income in Bangladeshi currency (Taka) between Taka 10,000–15,000 (Table 2). No significant differences were observed for the socio-demographic characteristics between the groups.
Table 1

Physical Characteristics of the Study Recruits in Both Groups

Cement Dust Exposed RecruitsCement Dust Unexposed Recruits (Control)p value
BMI (kg/m2)23.14± 2.0623.71 ± 2.61NS
Age (years)33.17± 8.2733.52± 7.87NS
Diastolic BP (mmHg)71.74 ± 9.5170.87± 9.11NS
Systolic BP (mmHg)117.72 ± 15.06113.04± 12.09NS

Notes: Statistical analysis was performed by Independent sample t-test, data expressed in Mean ± SE.

Abbreviations: NS, not significant; BP, blood pressure; BMI, body mass index.

Figure 2

Box plot of systolic blood pressure in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control).

Figure 3

Box plot of diastolic blood pressure in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control).

Figure 4

Box plot of age in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control).

Figure 5

Box Plot of Height in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control). °Participant number 2, and 42 were outliers of Group A.

Figure 6

Box plot of weight in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control).

Figure 7

Box plot of BMI in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control). °Participant number 33 is an outliers of Group A.

Table 2

Socioeconomic Characteristics of the Recruits in Both Groups

VariableCement Dust Exposed RecruitsCement Dust Unexposed Recruits (Control)p value
Monthly income
5000–10,00019 (41.3%)20 (43.5%)0.833
10,000–15,00027 (58.7%)26 (56.5%)
Educational status
No formal education10 (21.7%)10 (21.7%)0.871
Primary25 (54.3%)27 (58.7%)
SSC11 (23.9%)9 (19.6%)
Religion
Islam42 (91.3%)46 (100%)0.124
Hindu3 (6.5%)0 (0%)
Christian1 (2.2%)0 (0%)
Marital status
Married35 (76.1%)35 (76.1%)1.000
Un married11 (23.9%)11 (23.9%)

Notes: Data were expressed in frequency and percentage of socioeconomic characteristics of the study recruits; total number of recruits: 92; the number of recruits in each group: 46.

Physical Characteristics of the Study Recruits in Both Groups Notes: Statistical analysis was performed by Independent sample t-test, data expressed in Mean ± SE. Abbreviations: NS, not significant; BP, blood pressure; BMI, body mass index. Socioeconomic Characteristics of the Recruits in Both Groups Notes: Data were expressed in frequency and percentage of socioeconomic characteristics of the study recruits; total number of recruits: 92; the number of recruits in each group: 46. Box plot of systolic blood pressure in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control). Box plot of diastolic blood pressure in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control). Box plot of age in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control). Box Plot of Height in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control). °Participant number 2, and 42 were outliers of Group A. Box plot of weight in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control). Box plot of BMI in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control). °Participant number 33 is an outliers of Group A.

Personal History, Family History, and Medical History of the Study Recruits

Of the 92 study recruits, 37 (80.4%) of the cement dust-exposed recruits and 38 (82.6%) of the control group were nonsmokers. None of the study recruits were alcohol consumers. In the case of drug history of the study recruits, 1 (2.2%) of the cement dust-exposed recruits, and 3 (6.5%) from the control group had a history of taking vitamin supplementation (Table 3).
Table 3

Personal History of Study Recruits in Both Groups

VariableCement Dust Exposed RecruitsCement Dust Unexposed Recruits (Control)p value
Smoking habit
Yes9 (19.6%)8 (17.4%)
No37 (80.4%)38 (82.6%)0.788
Alcohol Intake0 (0%)0 (0%)
Drug History
Anti-Hypertensive0(0%)0(0%)-
Anti -Diabetic0(0%)0(0%)-
Broncho-dialator0(0%)0(0%)-
Steroid0(0%)0(0%)-
Vitamin Supplementation
Yes1(2.2%)3 (6.5%)0.307
No45(97.8%)43 (93.5%)
Anti -Allergic drug0(0%)0(0%)-
Iron Therapy0(0%)0(0%)-
Chemotherapy0(0%)0(0%)-
Anticoagulant0(0%)0(0%)-

Notes: Data were expressed as frequency and percentage; total number of recruits: 92; number of recruits in each group: 46.

Personal History of Study Recruits in Both Groups Notes: Data were expressed as frequency and percentage; total number of recruits: 92; number of recruits in each group: 46. Family History of Hypertension, Diabetes Mellitus was observed in the case of 4(8.7%) and 3 (6.5%), respectively, for cement dust-exposed recruits. In comparison, in the control group, 6 (13%),5 (10.9%), and 1 (2.2%) reported a family history of hypertension, diabetes mellitus, and bronchial asthma, respectively (Table 4).
Table 4

Family History of Study Recruits in Both Groups

VariableCement Dust Exposed RecruitsCement Dust Unexposed Recruits (Control)p value
Family History of Hypertension
Yes4(8.7%)6(13%)0.503
No42(91.3%)40(87%)
Diabetes Mellitus
Yes3 (6.5%)5(10.9%)0.459
No43 (93.5%)41 (89.1%)
Bronchial Asthma
Yes0 (0%)1(2.2%)0.313
No46 (100%)45 (97.8%)
COPD0(0%)0(0%)
Hemolytic Anemia0(0%)0(0%)
Thalassemia0(0%)0(0%)
Malignancy0(0%)0(0%)

Notes: Data were expressed as frequency and percentage; total number of recruits: 92; number of recruits in each group: 46.

Family History of Study Recruits in Both Groups Notes: Data were expressed as frequency and percentage; total number of recruits: 92; number of recruits in each group: 46. Out of the cement, dust-exposed recruits, 2 (4.3%) and 4(8.7%) of the control group reported having a medical history of Diabetes Mellitus. 1 (2.2%) of the recruits in the control group had a history of undergoing surgery about one year before being recruited in the study (Table 5). No significant differences were observed in the groups' personal history, family history, and medical history.
Table 5

Medical History of Study Recruits in Both Groups

VariableCement Dust Exposed RecruitsCement Dust Unexposed Recruitsp value
Medical History
Cardiovascular disease0(0%)0(0%)
Diabetes Mellitus
Yes2(4.3%)4(8.7%)0.401
No44 (95.7%)42(91.3%)
Bronchial Asthma0(0%)0(0%)
COPD0(0%)0(0%)
Allergy0(0%)0(0%)
Iron deficiency Anemia0(0%)0(0%)
Thalassemia0(0%)0(0%)
Liver disease0(0%)0(0%)
Renal Disease0(0%)0(0%)
Acute Infection0(0%)0(0%)
Malignancy0(0%)0(0%)
Surgery
Yes0(0%)1 (2.2%)0.313
No46 (100%)45 (97.8%)
History of receiving blood transfusion0(0%)0(0%)

Notes: Data were expressed as frequency and percentage; total number of recruits: 92; number of recruits in each group: 46.

Medical History of Study Recruits in Both Groups Notes: Data were expressed as frequency and percentage; total number of recruits: 92; number of recruits in each group: 46.

Total WBC Count with Its Differentials in the Study Recruits

In this study, the total WBC count displayed a statistically higher significant value in recruits occupationally exposed to cement dust when compared to the control group (Table 6, Figures 8 and 9). Recruits not exposed to cement dust were less likely to have Total WBC count alteration (OR=0.122, 95% CI =0.047 to 0.311) than the recruits exposed to cement dust (Table 6). In the differential count of WBC, Lymphocyte and Eosinophil count was significantly higher in subjects exposed to cement dust than the control group (Table 7, Figure 10). WBC count was found <8×103/µL in 16 (34.8%) cases, 16 (34.8%) cases had cement dust exposure for ≤5 years, and 30 (65.2%) cases had >5 years (Table 8). The change in WBC count showed a positive correlation with cement dust exposure duration (Figure 11). This study analysis also shows a significant association (Table 9) between Total WBC count and cement dust exposure duration [OR=4.42; 95% CI (1.56,12.47); p 0.005].
Table 6

Total WBC Count of the Cement Dust Exposed Recruits and Those Unexposed to Cement Dust

ParametersCement Dust Exposed RecruitsCement Dust Unexposed Recruits (Control)Mean Difference (95% CI)Odds Ratio (OR) (95% CI)p value
WBC count (×103/µL)9.57 ± 3.027.62 ± 1.791.95 (0.935 to 2.965)0.122 (0.047 to 0.311)< 0.001***

Notes: An Independent sample t-test was performed for statistical analysis to compare between the two groups; Mean± SE was used to express the data; Univariate Regression analysis showing Odds Ratio was performed to observe the association of total WBC count between Cement Dust Exposed recruits and control; Total number of recruits: 92; Number of recruits in each group: 46; ***Highly Significant.

Abbreviation: WBC, White blood cell.

Figure 8

Box Plot of Total WBC count in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits(control). *Participant number 43, 44, 45 and 70, 88 were outliers of Group A, Group B respectively.

Figure 9

Mean total WBC count in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control). N= total number of recruits.

Table 7

Differential Count of WBC of the Cement Dust Exposed Recruits and Those Unexposed to Cement Dust

ParametersCement Dust Exposed RecruitsCement Dust Unexposed Recruits(Control)p value
Neutrophil (%)56.78±7.8155.24±11.61NS
Lymphocyte (%)41.08± 10.5035.60±7.110.009**
Monocyte (%)3.98± 2.003.37± 1.16NS
Eosinophil (%)5.94±2.794.21±2.11<0.001***
Basophil (%)0.00±0.000.00±0.00

Notes: An Independent sample t-test was performed for statistical analysis to compare between the two groups; Mean± SE was used to express the data; **Significant; ***Highly Significant.

Abbreviation: NS, not significant; WBC, white blood cell.

Figure 10

Mean differential counts in both groups (N=92). Group A: cementdust-exposed recruits. Group B: healthy cement dust unexposed recruits (control).

Table 8

Frequency and Percentage of Cement Dust Exposed Recruits Based on Total WBC Count and Duration of Cement Dust Exposure

ParametersCase (%)
WBC count<8×103/µL16 (34.8%)
≥8×103/µL30 (65.2%)
Duration≤5 years16 (34.8%)
>5 years30 (65.2%)

Notes: Data were expressed as frequency and percentage of WBC (white blood cells); the number of cement dust exposed recruits: 46.

Figure 11

Correlation of duration of cement dust exposure with the total count of WBC in the study group (n=46). Study subjects: cement dust-exposed recruits. r = +0.872, p = <0.001*** [cement exposed group 6 years and onward were highly significantly positive (p = <0.001) with changes regarding WBC].

Table 9

Association of Total WBC Count and Duration of Cement Dust Exposure in Cement Dust Exposed Recruits

EffectOdds Ratio (OR)95%CIP value
Upper LimitLower Limit
WBC with duration4.421.5612.470.005**

Notes: Multivariate regression analysis was performed to observe the association between total WBC count and duration of cement dust exposure; significance level accepted for p< 0.05; the number of cement dust exposed recruits: 46; **Significant.

Abbreviation: WBC, white blood cells.

Total WBC Count of the Cement Dust Exposed Recruits and Those Unexposed to Cement Dust Notes: An Independent sample t-test was performed for statistical analysis to compare between the two groups; Mean± SE was used to express the data; Univariate Regression analysis showing Odds Ratio was performed to observe the association of total WBC count between Cement Dust Exposed recruits and control; Total number of recruits: 92; Number of recruits in each group: 46; ***Highly Significant. Abbreviation: WBC, White blood cell. Differential Count of WBC of the Cement Dust Exposed Recruits and Those Unexposed to Cement Dust Notes: An Independent sample t-test was performed for statistical analysis to compare between the two groups; Mean± SE was used to express the data; **Significant; ***Highly Significant. Abbreviation: NS, not significant; WBC, white blood cell. Frequency and Percentage of Cement Dust Exposed Recruits Based on Total WBC Count and Duration of Cement Dust Exposure Notes: Data were expressed as frequency and percentage of WBC (white blood cells); the number of cement dust exposed recruits: 46. Association of Total WBC Count and Duration of Cement Dust Exposure in Cement Dust Exposed Recruits Notes: Multivariate regression analysis was performed to observe the association between total WBC count and duration of cement dust exposure; significance level accepted for p< 0.05; the number of cement dust exposed recruits: 46; **Significant. Abbreviation: WBC, white blood cells. Box Plot of Total WBC count in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits(control). *Participant number 43, 44, 45 and 70, 88 were outliers of Group A, Group B respectively. Mean total WBC count in both groups (N=92). Group A: cement dust-exposed recruits. Group B: healthy cement dust unexposed recruits (control). N= total number of recruits. Mean differential counts in both groups (N=92). Group A: cementdust-exposed recruits. Group B: healthy cement dust unexposed recruits (control). Correlation of duration of cement dust exposure with the total count of WBC in the study group (n=46). Study subjects: cement dust-exposed recruits. r = +0.872, p = <0.001*** [cement exposed group 6 years and onward were highly significantly positive (p = <0.001) with changes regarding WBC].

Discussion

The total WBC count, differential count of Lymphocyte and Eosinophil were found in the present study to be higher in recruits exposed to cement dust than controls. This study revealed a. positive correlation found between the total WBC count and the duration of exposure to cement dust. In the present study, significantly higher mean WBC, lymphocyte, and eosinophil counts (p<0.05) were noted in cement dust-exposed subjects than that of non-exposed individuals. Similar findings were observed by previous studies carried out in various parts of the world.37,51,57 However, no significant alterations in WBC with its differentials in subjects exposed to cement dust compared to controls were found by Salh et al in 2014. This disagreement between the findings of Salah et al (2014) and the present study might have occurred due to differences in the cement dust exposure duration. The cement dust exposure duration in the research work of Salah et al (2014) was on average four years, whereas the exposure duration in the present study was 7.17± 2.78 years.58 Emmanuel et al (2015) found a significant increase in total WBC count with an increased cement dust exposure period, similar to the present study’s observation. The total WBC count value was higher in significance for occupationally cement dust exposed recruits for more than five years.51 On the contrary, Okonkwo et al found the total WBC count decreased with exposure to cement dust.59 Such disparity may be due to variation in race and differences in the number of subjects taken. The positive correlation of the total count of WBC with the duration of exposure to cement dust observed in this study agrees with Mojiminiyi et al (2007), who also found a positive correlation between WBC count and increase in the duration of exposure to cement dust.60 However, Mandal and Suva (2014) found no significant changes in the hematological parameters with the period of exposure.61 The hematological parameters were determined manually by Mandal and Suva (2014), while an automated hematology analyzer was used in the present study. Mandal and Suva (2014) performed their analysis on cement dust exposure in construction workers, while this study was carried out on cement plant workers who are likely to be exposed to higher cement dust levels. This difference in hematological analysis and place of study may have caused the researchers’ findings.

Inflammatory Response to Cement Dust

The statistically significant increase in the total count of WBCs and differential count of lymphocytes observed in this study may be due to the Chronic inflammation taking place in the lungs upon repeated exposure to this dust containing heavy metals like Crystalline silica-alumina.62 The innate immune response begins upon crystalline silica exposure with proinflammatory cytokine, which causes infiltration of inflammatory cells like neutrophils, macrophages, and lymphocytes.63 When crystalline silica, alumina is engulfed by Alveolar Macrophage, reactive oxygen species are released from mitochondria, and phagolysosomal membrane lipid peroxidation occurs.64 Mitochondria-derived reactive oxygen species and cathepsin protease released from phagolysosomal membrane destabilization cause activation of NLRP3 inflammasomes.65 The NLRP3 (nucleotide-binding oligomerization domain receptor, pyrin domain-containing 3) inflammasomes are pattern recognition receptors that, when activated, cause cathepsin 1 to activate pro-inflammatory cytokines Interleukin 1β, Interleukin 18 that promote inflammation.66 During inflammation, specific transcription factors activation like NF κB occurs.67 There is the activation of NFκβ, which leads to the formation of inflammatory mediators and cytokines like interleukins (IL-1β, IL-6, IL-8, IL-10) and tumor necrosis factor-α (TNF- α). Such transcription factors stimulate the inflammatory response and tissue damage (Figure 12).67,68
Figure 12

Possible mechanism of inflammatory response to cement dust.

Possible mechanism of inflammatory response to cement dust. During the adaptive immune response to Crystalline silica-containing dust, CD4+ T cells such as T-helper 1, T-helper 2, T-helper 17, and regulatory T (Treg) cells play an essential part in the development of pulmonary inflammation.69 T-helper 17 subsets of lymphocyte secrete Interleukin 17 that is proinflammatory in nature.70 The increase in eosinophil count was statistically significant in this study due to the inflammatory response triggered by particulate exposure, causing eosinophil accumulation.71 The immune response to dust particles in the lungs induces antigen-specific IgG1 and IgE release utilizing DAMPs and cytotoxic chemicals like aluminum oxide.62,72,73 This, in turn, may result in an allergic response in the body.72

Health Policies Adopted by Cement Industries Around the World

Cement Sustainability Initiative, consisting of 24 cement manufacturers operating worldwide in over 100 countries, has agreed upon and implemented health management practices that include monitoring and controlling of toxic agent’s exposure risk at work and proper execution of health inspection. Trained professionals measure exposure and health inspection. Personal Protective equipment includes an FFP2 respirator mask and other protective gear. Surveillance of health include taking a medical history, performing spirometry (FVC, FEV1), Thorax inspection, percussion, and auscultation.74,75 CEMBUREAU, a representative organization for the European cement industry, has adopted policies to safeguard its labor force’s health and safety. They have a “Zero harm” policy that ensures the cement industry regularly promotes health and safety practices; supervises thorough health and safety standards implementation; informs employees regarding work-related risk, provides proper personal protective equipment and training; performs regular surveillance of employees’ health. They also have various campaigns such as “Mate in Mind(UK),” “Safe Cement Campaign,” “Cycle Safe” to create awareness among cement industry workers and the general population about health and safety at the workplace.76 An International Cement company based in Heidelberg, Germany, ensures proper usage of Personal Protective gear, including a Safety Helmet, boots, and protection for the eye. They hold accountable their management for the workers’ safety and health and emphasize that each employee follows work safety.77 The World Bank Group has Environmental, Health, and Safety Guidelines to be followed in projects in which the World Bank is involved. In the cement and lime manufacturing industry, this guideline includes methods to control and prevent dust exposure by avoiding the buildup of dust through vacuuming, usage of elevators with control of dust emission, usage of dust recycling and extraction system, usage of suction of air in area for bagging cement, use of proper mask, respirators.78

Limitations

This study was a cross-sectional study in cement plant workers on a one-time point and may not represent the accurate risk estimation. The study was carried out under self-funding and therefore had financial limitations. Inflammatory markers like TNF alpha, proinflammatory cytokines (IL-1β, IL-6, IL-8, IL-10, IL-12), and features of oxidative stress like reactive oxygen species, reactive nitrogen species, superoxide dismutase [SOD]), and nitrite (NO2−) could not be carried out due to time and financial constraint.

Conclusions

The results’ analysis of this study shows that cement dust produces inflammatory responses in the exposed workers. This is evidenced by a significant increase in total WBC count, differential count of Lymphocyte and Eosinophil in cement dust exposed subjects. Multivariate Regression analysis revealed that the change in total WBC count is significantly related to the duration of cement dust exposure [OR=4.42,95% CI (1.56,12.47), p 0.005]. Additionally, univariate analysis revealed that the control group possessed less probability of total WBC count alteration (OR = 0.122, 95% CI =0.047 to 0.311). The human hematopoietic system is sensitive to certain environmental factors as cells are rapidly synthesized and destroyed. This study’s outcome reflects the inflammatory changes taking place in various body organs, such as the lungs, kidneys, liver of cement dust exposed subjects. Such inflammatory changes in multiple organs result from the toxic cement dust constituents like quartz, chromium, alumina, lead, nickel that may be inhaled, swallowed, and may penetrate through the skin. The observed deleterious changes suggest that those working in this toxic dusty environment are not taking adequate safety measures to minimize cement dust exposure. There may be a lack of proper understanding among the workers about the occupational health hazard. There may also be noncompliance among the workers regarding appropriate protective gear such as gloves, masks, helmets. Providing health education to workers, obtaining and enforcing effective protective equipment may limit this exposure to cement dust. Carrying out a blood test to monitor the inflammatory markers like the total count of WBC and its differentials may be a cost-effective and straightforward way for early detection of toxic changes in the organs of those occupationally exposed to cement dust. Thus, measures may be taken to prevent irreversible health damage in those occupationally exposed to cement dust. About 60.8 million employed persons aged 15 years and above in Bangladesh, out of which 14.4% are working in the manufacturing industry.79 The nonmetallic and gas industry that includes the cement industry, consists of about 8% of Bangladesh’s total manufacturing sector.80 The cement industry, comprises 35 active companies and 42 cement plants across Bangladesh.81 There are another 0.2 and 5.6% of the labor force working in mining and quarrying sectors; construction, respectively.79 Mining and quarrying, an integral part of cement production and construction, have an environment polluted with cement dust or its toxic constituents.82,83 This poses a threat to the health of its workers. Thus, national and company policies with guidelines to safeguard these workers’ health must be implemented and monitored.

Recommendations

This study recommend that longitudinal studies on a more extensive study population be performed to estimate the actual health risk among the cement factory workers in Bangladesh. This research also suggest that studies on other inflammatory markers like pro-inflammatory cytokines and markers of oxidative stress be carried out to evaluate the extent of inflammatory damage in the occupational cement dust-exposed workers. Awareness and health education programs should be carried out among workers about the importance of using protective equipment such as gloves, masks, apparel. Usage of these protective gears needs to be enforced during the working period. Technical protection measures should be adopted in collaboration with health-care providers, cement-exposed workers, and the cement factories’ management team. We recommend implementing pre-employment and periodic medical examination of workers and environmental monitoring in these factories as part of a prevention program to safeguard the health of occupationally cement dust-exposed workers.

Take-Home Message

Cement industry is a fast-growing sector throughout the world and Bangladesh, but it is a source of pollution. Cement dust containing toxic components like crystalline silica, chromium, nickel is released into the surrounding work environment during different of cement production and handling stages. Workers in cement factories may inhale, ingest this dust, and toxic components of cement dust promote inflammatory response and tissue damage. Raised total count of WBCs, Lymphocyte, and Eosinophil count observed in this study reflect the ongoing inflammatory changes in cement dust-exposed subjects. Monitoring the inflammatory markers like the total count of WBC and its differentials at a regular interval may be a simple and affordable means for early detection of inflammatory damage in workers exposed to the cement dust.
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