Global Prevalence of Silicosis and Associated Risk Factors: A Systematic Review and Evidence Synthesis

Authors

Marjan KhabiriMarjan Khabiri ORCID1, Mitra AivaziMitra Aivazi ORCID1, Shirin NosratnejadShirin Nosratnejad ORCID1, 2,*, Leila NamvarLeila Namvar ORCID3, 4,**
1Department of Health Economics, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
2Department of Global Health, Center of Excellence for Global Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
3Rahat Breath and Sleep Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
4Tuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
Corresponding Authors:
*Corresponding Author: Department of Health Economics, Tabriz University of Medical Sciences, Tabriz, Iran. Email: sh_nosratnejad@yahoo.com
**Corresponding Author: Tuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. Email: leilanamvar3@gmail.com

Health Scope:Vol. 15, issue 4; e172469
Published online:Sep 26, 2026
Article type:Systematic Review
Received:Jun 01, 2026
Accepted:Sep 08, 2026
How to Cite:Khabiri M, Aivazi M, Nosratnejad S, Namvar L. Global Prevalence of Silicosis and Associated Risk Factors: A Systematic Review and Evidence Synthesis. Health Scope. 2026;15(4):e172469. doi: https://doi.org/10.5812/healthscope-172469

Abstract

Context:

Silicosis is a preventable occupational lung disease caused by the inhalation of crystalline silica dust. Despite existing control regulations, it remains a major public health concern worldwide. This systematic review aimed to estimate the global prevalence of silicosis, identify key risk factors, and compare epidemiological patterns across geographical regions.

Evidence Acquisition:

PubMed, Scopus, Web of Science, and Magiran were systematically searched. Studies published between 1988 and 2024 were included in the final analysis. The analysis comprised two phases: a proportional meta-analysis of 24 studies to estimate the pooled prevalence of silicosis and a vote-counting synthesis of all 32 studies to identify significant risk factors. The pooled prevalence was estimated using a random-effects meta-analysis of single proportions to account for heterogeneity. Factors significantly associated with silicosis were classified into three categories: workplace conditions; social, economic, and demographic status; and health status. Factors associated with silicosis prevalence were identified using vote counting, which tallied the frequency and direction of associations reported for each factor across studies to determine those supported by significant evidence. The quality of the included studies was assessed using the Newcastle-Ottawa Scale.

Results:

In total, 32 studies from 25 countries, including more than 140,000 workers, were reviewed. Of these, 24 were included in the random-effects meta-analysis, and the remaining 8 provided qualitative data on risk factors. The weighted global average prevalence of silicosis was 22% (95% confidence interval [CI]: 19% to 25%), with considerable heterogeneity (I2 = 99.57%, Cochran's Q = 5301.05, df = 23, P < 0.001). The highest prevalence was observed among workers in Asia. The main risk factors included longer exposure duration, older age, smoking, and employment in high-risk occupations.

Conclusions:

Silicosis remains a common occupational disease and requires stronger preventive interventions and regular screening of at-risk workers. Prolonged exposure, older age, smoking, and unsafe working conditions were the most consistent risk factors. These findings support urgent policy interventions, including mandatory annual chest radiographic screening for workers with ≥ 5 years of silica exposure; a regulatory ban on dry cutting and grinding of engineered stone; enforcement of local exhaust ventilation and wet methods; and targeted health education and the provision of personal protective equipment for small-scale and artisanal mining sectors in low- and middle-income countries.

1. Introduction

Silicosis, one of the oldest known occupational diseases, remains a major global health concern. It is characterized by progressive pulmonary fibrosis following inhalation of crystalline silica dust (1-3). The disease is associated with chronic inflammation and pulmonary scarring, leading to severe respiratory impairment and, in advanced cases, death. Epidemiological studies have documented a substantial prevalence among workers in the mining, foundry, stone-cutting, sandblasting, and ceramic industries (4-6).
This review provides a comprehensive overview of silicosis, including its epidemiology, diverse clinical presentations, and key risk factors. It also examines its complex associations with other serious pulmonary and systemic diseases, particularly tuberculosis, highlighting the multifaceted burden of the disease. By synthesizing current evidence, this study aims to identify key risk factors and inform preventive strategies.
Despite decades of regulatory efforts and the largely preventable nature of silicosis, recent evidence suggests a resurgence of the disease, particularly in emerging high-exposure industries such as artificial stone fabrication and small-scale mining. Existing prevalence estimates vary widely across regions and occupational settings, and no recent synthesis has simultaneously quantified global prevalence and systematically catalogued the full spectrum of associated risk factors. Therefore, this systematic review was undertaken to provide an updated, integrated assessment of the global burden of silicosis and its determinants.
According to estimates from the Global Burden of Disease report for 2019, approximately 2.6 million people worldwide were affected by silicosis, with 138,965 new cases occurring that year. These estimates indicate that, despite advances in occupational exposure control over recent decades, silicosis remains a global public health problem (7).
Silicosis has three main types, each with distinct epidemiological and clinical characteristics. Chronic (classic) silicosis is the most common type, usually developing after 10 to 20 years of low-to-moderate silica dust exposure and progressing relatively slowly. Accelerated silicosis occurs after 5 to 10 years of severe exposure and progresses more rapidly. Acute silicosis is the rarest but most fatal type, developing after several months to 5 years of very severe exposure and potentially leading to rapid respiratory failure and death. Understanding these types is essential for interpreting disease patterns and designing preventive strategies. In addition to lung damage, silicosis is associated with an increased risk of pulmonary tuberculosis, chronic obstructive pulmonary disease, and some autoimmune diseases (8, 9). Despite advances in dust-control technologies, numerous reports indicate that silicosis remains a significant occupational health problem in many countries, particularly in developing economies (2, 10, 11).
This systematic review had several objectives: to estimate the global prevalence of silicosis in working populations; to identify and rank the main risk factors; to compare epidemiological patterns across geographical regions; and to identify knowledge gaps for future research. This study is particularly important given the emergence of industries involving severe silica exposure. Recent reports from 2021 - 2025 on artificial stone silicosis underscore the urgency of an updated review (12, 13).

2. Methods

This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Eligible studies included cross-sectional, cohort, and case-control studies reporting the prevalence, incidence, or risk factors of silicosis. Diagnosis had to be based on chest radiography using the International Labor Organization classification or high-resolution computed tomography. Studies published in English or Persian between 1988 and 2024 were eligible. Studies relying solely on self-reports without radiological confirmation were excluded. Studies were also excluded if the full text was unavailable or if silicosis was investigated in a population with another specific disease. A formal protocol for this systematic review was not registered with PROSPERO.

2.1. Data Sources

A comprehensive search was conducted in PubMed, Scopus, Web of Science, and Magiran. The main search terms included silicosis, prevalence, occupational exposure, crystalline silica, pneumoconiosis, systematic review, and risk factors, combined using appropriate Boolean operators. The reference lists of identified articles were also searched manually to avoid missing relevant studies. The PubMed search strategy is presented in Table 1.
Table 1.
Search Terms in the PubMed Database (English)
DatabaseSearch strategy
PubMed("Silicosis"[Mesh] OR "silicosis"[ Title/Abstract]) AND ("risk factor*"[ Title/Abstract] OR "associated factor*"[ Title/Abstract] OR "determinant*"[ Title/Abstract] AND "prevalence"[ Title/Abstract]) AND Occupational Exposure" [Mesh] AND ("population*"[ Title/Abstract] OR "worker*"[ Title/Abstract] OR "miner*"[ Title/Abstract] AND ("high risk"[ Title/Abstract] OR "high-risk"[ Title/Abstract]

2.2. Study Selection

Two independent researchers screened and selected studies in two stages. First, titles and abstracts were assessed against the initial inclusion criteria, and disagreements were resolved by a third researcher. Second, the full texts of selected articles were reviewed; study quality was assessed, and data on study characteristics, populations, diagnostic methods, prevalence rates, identified risk factors, and statistical indices were extracted.
The methodological quality of the included studies was assessed using the Newcastle-Ottawa Scale to identify potential sources of bias and evaluate study quality.

2.3. Data Extraction

Silicosis prevalence and associated factors or variables were extracted. Factors identified as influential in at least one study were included. Data were systematically extracted from each eligible study, including study characteristics (author, year, country, sample size, silicosis prevalence, number of detected cases, and study design), participant demographics, exposure details, and reported risk factors or associations with silicosis. Extracted data were carefully reviewed for accuracy and completeness.

2.4. Data Analysis and Synthesis

Two analytical approaches were used:
1) A proportional meta-analysis to estimate silicosis prevalence.
2) Vote counting to identify the main risk factors associated with silicosis.
Pooled prevalence was estimated using a random-effects meta-analysis of single proportions to account for heterogeneity. Heterogeneity was assessed using I2, τ2, and H2. The 95% prediction interval was calculated. Analyses were performed using Stata 17. The characteristics of the included studies are presented in Table S1 in the Supplementary File.
Factors significantly associated with silicosis were classified into three categories: workplace conditions; social, economic, and demographic status; and health status. Factors associated with silicosis prevalence were identified using vote counting. This approach tallied the frequency and direction of associations reported for each factor across studies to identify those with consistent supporting evidence. Although some studies reported odds ratios, hazard ratios, or prevalence ratios, the risk factors were highly heterogeneous in terms of definition, measurement, and statistical modeling. Vote counting was therefore considered the most feasible approach for identifying the main risk factors associated with silicosis.

3. Results

3.1. Characteristics of Included Studies

The systematic search identified 336 studies. After duplicate removal, 260 records remained. Title and abstract screening identified 38 articles for full-text assessment. Ultimately, 32 studies were included in the systematic review, of which 24 were included in the meta-analysis (Figure 1).
Diagram of the search and study selection process based on the PRISMA workflow flowchart
Figure 1.
Diagram of the search and study selection process based on the PRISMA workflow flowchart
The included studies were conducted in 25 countries across six continents. The largest numbers of studies were from China, with six studies (1, 7, 14-17); the United States, with five (6, 12, 18-20); Iran, with six (8, 21-25); and Turkey, with three (26-28). Of the included studies, 65% were published in the last decade, indicating increasing scientific attention to this topic. The total study population comprised 143,928 individuals, with individual study sample sizes ranging from 17 to 90,973. The mean age of the workers was 42 years (range: 20 - 68 years), and the mean duration of occupational exposure was estimated at 14.8 years (range: 0.3 - 40 years).
The characteristics of the included studies are presented in Table S1 in the Supplementary File.
The mean Newcastle-Ottawa Scale score was 6.7 out of 9. Seventeen studies were classified as good quality, nine as moderate quality, and four as poor quality (Figure 2 - Article Quality Assessment).
Quality assessment of included studies by traffic light plot showing study scores by domain (<a href="#AARTICLEREF1">1</a>, <a href="#AARTICLEREF4">4</a>-<a href="#AARTICLEREF6">6</a>, <a href="#AARTICLEREF10">10</a>, <a href="#AARTICLEREF11">11</a>, <a href="#AARTICLEREF13">13</a>-<a href="#AARTICLEREF16">16</a>, <a href="#AARTICLEREF18">18</a>, <a href="#AARTICLEREF19">19</a>, <a href="#AARTICLEREF22">22</a>-<a href="#AARTICLEREF25">25</a>, <a href="#AARTICLEREF27">27</a>-<a href="#AARTICLEREF34">34</a>)
Figure 2.
Quality assessment of included studies by traffic light plot showing study scores by domain (1, 4-6, 10, 11, 13-16, 18, 19, 22-25, 27-34)

3.2. Results of the Meta-Analysis

The proportional meta-analysis included 24 eligible studies (1, 4-6, 10, 11, 13-16, 18, 19, 22-25, 27-34). Using a random-effects model, the pooled prevalence of the outcome of interest was estimated at 22% (95% confidence interval: 19% to 25%). The overall meta-analysis test indicated that this estimate was statistically significant (z = 16.18, P < 0.001) (Table 2).
Table 2.
Results of the Proportional Meta-Analysis of Silicosis Prevalence in the Included Studies a
VariablesMethodPooled estimation95% Confidence IntervalP-valueNo studies (references)
Prevalence of silicosisRandom effects0.220.19 - 0.250.0024 (4-6, 9-13, 17, 19, 21-23, 25-32, 35, 36, 38)
a Heterogeneity χ2 = 5301.05 (d.f. = 23) P = 0.00; I2 (variation in effect size (ES) attributable to heterogeneity) = 99.57%; Estimate of between-study variance τ2 = 0.00; Test of ES = 0.22 z = 16.18 P = 0.00
Between-study heterogeneity was very high (χ2 = 5301.05, df = 23, P < 0.001; I2 = 99.57%). This finding suggests that almost all observed variation in study estimates was attributable to true between-study differences. Given this heterogeneity, a random-effects model was used to estimate the pooled prevalence.
As shown in Figure 3, 24 eligible studies were included in the analysis (1, 4-6, 10, 11, 13-16, 18, 19, 22-25, 27-34). Using a random-effects model, the pooled proportion of participants diagnosed with silicosis was estimated at 22% (95% confidence interval [CI]: 19% to 25%).
Forest plot of the proportional meta-analysis of silicosis prevalence (<a href="#AARTICLEREF1">1</a>, <a href="#AARTICLEREF4">4</a>-<a href="#AARTICLEREF6">6</a>, <a href="#AARTICLEREF10">10</a>, <a href="#AARTICLEREF11">11</a>, <a href="#AARTICLEREF13">13</a>-<a href="#AARTICLEREF16">16</a>, <a href="#AARTICLEREF18">18</a>, <a href="#AARTICLEREF19">19</a>, <a href="#AARTICLEREF22">22</a>-<a href="#AARTICLEREF25">25</a>, <a href="#AARTICLEREF27">27</a>-<a href="#AARTICLEREF34">34</a>)
Figure 3.
Forest plot of the proportional meta-analysis of silicosis prevalence (1, 4-6, 10, 11, 13-16, 18, 19, 22-25, 27-34)

3.3. Subgroup Analysis by Continent

A subgroup analysis by continent was performed to investigate potential sources of heterogeneity. Pooled prevalence varied significantly across continents (test for differences between subgroups: χ2 = 183.25, df = 4, P < 0.001).
The highest pooled prevalence was observed in studies conducted in Asia (29%; 95% CI: 18% to 39%), whereas Europe had the lowest prevalence (4%; 95% CI: 4% to 5%). Pooled prevalence was 16% (95% CI: 7% to 25%) in the Americas and 18% (95% CI: 1% to 38%) in Africa. The only Australian study reported a prevalence of 28% (95% CI: 25% to 32%); a pooled estimate could not be calculated because only one study was available. Heterogeneity remained very high in Asia (I2 = 99.40%) and the Americas (I2 = 98.68%), indicating substantial between-study differences within these regions. In Europe, Africa, and Australia, the heterogeneity index could not be estimated because of the limited number of studies. Overall prevalence was 22% (95% CI: 19% to 25%), with very high heterogeneity (I2 = 99.57%, P < 0.001). The subgroup analysis is presented in Figure 4 (1, 4-6, 10, 11, 13-16, 18, 19, 22-25, 27-34) and Table 3.
Table 3.
Results of the Proportional Meta-Analysis of Silicosis Prevalence by Continent
SubgroupMethodPooled estimation95% Confidence IntervalP-ValueNo studies (references)
AsiaRandom effects0.290.18 - 0.390.0012 (4, 12, 13, 21-23, 25-28, 32, 35)
EuropeRandom effects0.040.04 - 0.050.002 (5, 38)
AmericaRandom effects0.160.07 - 0.250.005 (6, 11, 17, 18, 29)
AfricaRandom effects0.180.01 - 0.380.064 (9, 10, 31, 36)
AustraliaRandom effects0.280.25 - 0.320.001 (30)
Subgroup analysis by continent (<a href="#AARTICLEREF1">1</a>, <a href="#AARTICLEREF4">4</a>-<a href="#AARTICLEREF6">6</a>, <a href="#AARTICLEREF10">10</a>, <a href="#AARTICLEREF11">11</a>, <a href="#AARTICLEREF13">13</a>-<a href="#AARTICLEREF16">16</a>, <a href="#AARTICLEREF18">18</a>, <a href="#AARTICLEREF19">19</a>, <a href="#AARTICLEREF22">22</a>-<a href="#AARTICLEREF25">25</a>, <a href="#AARTICLEREF27">27</a>-<a href="#AARTICLEREF34">34</a>)
Figure 4.
Subgroup analysis by continent (1, 4-6, 10, 11, 13-16, 18, 19, 22-25, 27-34)

3.4. Significant Risk Factors for Silicosis

Risk factors were classified into three categories: 1) workplace conditions, 2) health status, and 3) social, economic, and demographic status. Workplace conditions included silica exposure intensity and dose, exposure duration and work history, job type and sector, workplace conditions and engineering controls, and working time and period. Health status factors included smoking, comorbidities, clinical and imaging factors, and disease progression. Social, economic, and demographic factors included age, gender and race, education, socioeconomic status, and geographical factors. The findings are presented according to this framework. Table S2 in the Supplementary File presents the vote-counting matrix.

3.4.1. Variables Influencing Silicosis Risk

All objective variables assessed for their influence on silicosis risk were categorized into three groups:
Workplace determinants: High silica exposure (9 studies), longer exposure or employment duration (15 studies), high-risk job type, multiple workplaces, or specific work sections (8 studies), underground or full-time mining work (3 studies), and a poor workplace environment (3 studies) were associated with an increased risk of silicosis.
Health status and comorbidity determinants: Smoking (12 studies), a history of tuberculosis (3 studies), and advanced disease severity, complicated silicosis, or progressive massive fibrosis (3 studies) were associated with an increased risk of silicosis. Higher BMI was associated with reduced risk in 3 of 4 studies.
Socioeconomic and demographic determinants: Older age or advanced age at entry or diagnosis (13 studies) and male gender (3 studies) were associated with an increased risk of silicosis, whereas higher education (3 studies) was associated with reduced risk.
Twelve variables reported in at least one study were included in the vote-counting synthesis.

4. Discussion

This review indicates that silicosis remains an important occupational health problem, with an estimated global prevalence of 22% in at-risk working populations. Despite technological advances in dust control, industries such as engineered stone fabrication have produced new disease patterns, often characterized by a younger age at onset and more rapid progression (12, 13, 36). These findings are consistent with the Global Burden of Disease (GBD) report indicating approximately 2.6 million prevalent cases worldwide. Our pooled prevalence estimate of 22% (95% CI: 19%-25%) reflects the proportion of silicosis among actively screened or historically exposed occupational populations, whereas the GBD 2019 report presents age-standardized prevalence rates in the general population (31.60 per 100,000 globally). These metrics are not directly comparable: our estimate describes risk within exposed cohorts, whereas GBD estimates describe population-level burden. Consequently, our estimate is expected to be substantially higher than population-normalized rates. This distinction is essential to prevent misinterpretation. Significant regional differences were observed, with the highest prevalence in Asia. These differences may be attributable to inadequate dust control, increased mining activity in developing countries, and limited worker screening (2, 20, 32, 35, 37). Although the review includes data from 25 countries across six continents, substantial geographical gaps remain, particularly in Eastern Europe, Central Asia, and parts of the Middle East and North Africa, where silicosis is likely underreported because of limited occupational health surveillance. The global estimate should therefore be interpreted as a weighted average of the available evidence rather than a census of all regions worldwide.
Several concerning patterns were identified. The artificial stone industry, which has expanded since the 2000s, has contributed to a new silicosis epidemic. Increasing cases of accelerated silicosis in younger populations suggest extremely severe exposure in uncontrolled work environments. Silico-tuberculosis, the coexistence of tuberculosis and silicosis, is particularly concerning because tuberculosis incidence is significantly higher among individuals exposed to silica (38).
These findings have several clinical and public health implications. Older age at entry into employment was a strong risk factor. Workers with more than 5 years of exposure should undergo annual screening. Lack of ventilation and dry drilling were associated with a high risk of silicosis onset. Source control, including wet equipment and local ventilation, should be prioritized, with personal protective equipment (PPE) used as an additional protective measure (39, 40). Where engineering controls are not feasible, standard respiratory masks are mandatory. Individuals without formal education had approximately 3.6 times the risk of those with higher education (9); therefore, young workers require targeted training.
The prevalence estimate in this review is higher than estimates in some previous reviews. This difference may reflect the inclusion of more studies from Asia, a focus on high-risk industries, and differences in inclusion criteria.

4.1. Strengths and Limitations

Strengths include the comprehensive review of 32 studies from 25 countries and the examination of multiple risk factors associated with silicosis. However, several limitations should be considered. First, most included studies were cross-sectional, limiting definitive assessment of associations between the identified factors and silicosis, although this design is well suited to estimating prevalence in occupational health research. Second, limited data from Eastern Europe, Central Asia, and parts of the Middle East and North Africa may affect generalizability. Heterogeneity in study methods, including exposure assessment, diagnostic criteria, and risk-factor reporting, introduces potential biases and challenges for evidence synthesis. Risk factors were synthesized using vote counting. A formal quantitative meta-analysis of risk factors was not feasible because sufficiently comparable effect sizes (ORs, RRs, or HRs) were unavailable for most factors, owing to heterogeneous exposure definitions, statistical models, and covariate adjustment. Vote counting was therefore considered the most feasible approach for identifying the main risk factors associated with silicosis and was selected in accordance with the study goals. In addition, the absence of a preregistered protocol, such as PROSPERO registration, prevents readers from verifying a priori hypotheses and planned analytical methods. Nevertheless, the search strategy, inclusion criteria, and analysis plan were internally standardized and documented before screening began. Future reviews should consider prospective registration to improve methodological transparency.

4.2. Conclusions

The proportional meta-analysis of 24 studies estimated a pooled prevalence of 22% (95% CI: 19%-25%) among silica-exposed workers worldwide, with the highest burden in Asia. The qualitative vote-counting synthesis of 32 studies identified consistent risk-factor patterns: silica dose and exposure duration were the strongest predictors, whereas older age at work entry, smoking, tuberculosis, and unsafe working conditions were significant nonmodifiable and modifiable determinants. Protective factors included higher education and the use of personal protective equipment.
Silicosis remains an important, preventable occupational disease affecting millions of workers worldwide. Although overall prevalence is declining, the emergence of industries involving severe exposure, particularly artificial stone fabrication, and accelerated disease patterns has raised serious concerns. Key recommendations include stronger engineering controls in high-risk industries, regular screening of all silica-exposed workers, bans on dry processes in stone industries, national registration of silicosis cases, and further research on accelerated silicosis and the mechanisms of fibrosis.
Specifically, we recommend: 1) mandatory annual chest radiographic screening for all workers with 5 or more years of silica exposure; 2) a regulatory ban on dry cutting and grinding of engineered or artificial stone; 3) enforcement of local exhaust ventilation and wet methods in all high-risk industries; 4) national registries for silicosis notification and occupational disease surveillance; and 5) targeted health education and PPE provision for small-scale and artisanal mining sectors in low- and middle-income countries.

4.3. Key Messages

Temporal paradox: Despite regulatory advances, workers after 2000 experienced earlier disease onset than historical cohorts, suggesting emerging high-risk exposures, such as artificial stone, insufficient implementation of controls, or surveillance bias.
Modifiable social determinants: Education, engineering controls, and personal protective equipment are high-impact, feasible intervention targets, particularly in traditional and small-scale mines, where prevalence is 28.2%.
Biological interactions: The interaction among smoking, tuberculosis, and silica requires further examination.

4.4. Future Directions

Future research should focus on developing early detection methods, particularly novel biomarkers for individuals with low-intensity or prolonged silica exposure. More rigorous longitudinal studies are also needed to clarify causal relationships and support timely, effective preventive interventions for silicosis.

Acknowledgments

Footnotes

  • AI Use Disclosure:The authors declare that no generative AI tools were used in the creation of this article.

  • Authors' Contribution:Conceptualization, Data Extraction, Data Interpretation, Manuscript Writing, and Revision: M. Kh.; Study Design, Data Extraction and Interpretation, Manuscript Revision, and Final Manuscript Preparation: M. A.; Conceptualization, Data Interpretation, and Critical Manuscript Review: S. N.; Conceptualization, Manuscript Revision, Final Manuscript Preparation, and Editing: L. N.; All authors read and approved the submitted and revised final versions of the manuscript.

  • Conflict of Interests Statement:The authors declare that there is no conflict of interest.

  • Data Availability:The dataset presented in the study is available on request from the corresponding author during submission or after publication.

  • Funding/Support:This study was supported by the Deputy of Research of Tabriz University of Medical Sciences. The authors are thankful to them.

References

  • 1.
    Zhao JQ, Li JG, Zhao CX. Prevalence of pneumoconiosis among young adults aged 24 - 44 years in a heavily industrialized province of China. Journal of Occupational Health. 2019;61(1):73-81. [PubMed ID: 30698344]. [PubMed Central ID: PMC6499438]. https://doi.org/10.1002/1348-9585.12029.
  • 2.
    Nguyen HTT, Le HT, Nguyen HTL, Pham QT, Van Khuong D, Nguyen AN, et al. Silicosis Prevalence and Associated Factors Among High-Risk Population Group in Vietnam in 2018 - 2019. Springer International Publishing; 2018. p. 453-468. https://doi.org/10.1007/978-3-030-60839-2_24.
  • 3.
    Farokhzad M, Ranjbar A, Ghorbani Shahna F, Farhadian M, Assari MJ. Blood Oxidative Stress Levels in Workers Exposed to Respirable Crystalline Silica in the West of Iran. Health Scope. 2019;8(4). https://doi.org/10.5812/jhealthscope.85622.
  • 4.
    Kuo HW, Chang CL, Lai JS, Lee FC, Chung BC, Chen CJ. Prevalence of and factors related to pneumoconiosis among foundry workers in central Taiwan. Science of the Total Environment. 1998;222(3):133-9. [PubMed ID: 9851067]. https://doi.org/10.1016/S0048-9697(98)00286-1.
  • 5.
    Swaen GMH, Passier PECA, van Attekum AMNG. Prevalence of silicosis in the Dutch fine-ceramic industry. International Archives of Occupational and Environmental Health. 1988;60(1):71-4. [PubMed ID: 3258285]. https://doi.org/10.1007/BF00409382.
  • 6.
    Kreiss K, Zhen B. Risk of silicosis in a colorado mining community. American Journal of Industrial Medicine. 1996;30(5):529-39. https://doi.org/10.1002/(SICI)1097-0274(199611)30:5<529::AID-AJIM2>3.0.CO.
  • 7.
    Liu X, Jiang Q, Wu P, Han L, Zhou P. Global incidence, prevalence and disease burden of silicosis: 30 years' overview and forecasted trends. BMC Public Health. 2023;23(1). 1366. [PubMed ID: 37461046]. [PubMed Central ID: PMC10353232]. https://doi.org/10.1186/s12889-023-16295-2.
  • 8.
    Farazi A, Jabbariasl M. Silico-tuberculosis and associated risk factors in central province of Iran. The Pan African medical journal. 2015;20:333. [PubMed ID: 26175823]. [PubMed Central ID: PMC4491449]. https://doi.org/10.11604/pamj.2015.20.333.4993.
  • 9.
    Moyo D, Ncube R, Kavenga F, Chikwava L, Mapuranga T, Chiboyiwa N, et al. The Triple Burden of Tuberculosis, Human Immunodeficiency Virus and Silicosis among Artisanal and Small-Scale Miners in Zimbabwe. International Journal of Environmental Research and Public Health. 2022;19(21):13822. [PubMed ID: 36360701]. [PubMed Central ID: PMC9657277]. https://doi.org/10.3390/ijerph192113822.
  • 10.
    Mbuya AW, Mboya IB, Semvua HH, Mamuya SH, Howlett PJ, Msuya SE. Prevalence and determinants of evidence of silicosis and impaired lung function among small scale tanzanite miners and the peri-mining community in northern Tanzania. PLOS Global Public Health. 2024;4(9 September):e0002770. [PubMed ID: 39325711]. [PubMed Central ID: PMC11426446]. https://doi.org/10.1371/journal.pgph.0002770.
  • 11.
    Souza TP, van Tongeren M, Monteiro I. Respiratory health and silicosis in artisanal mine workers in southern Brazil. American Journal of Industrial Medicine. 2021;64(6):511-8. [PubMed ID: 33774816]. https://doi.org/10.1002/ajim.23242.
  • 12.
    Fazio JC, Gandhi SA, Flattery J, Heinzerling A, Kamangar N, Afif N, et al. Silicosis Among Immigrant Engineered Stone (Quartz) Countertop Fabrication Workers in California. JAMA Intern Med. 2023;183(9):991-8. [PubMed ID: 37486642]. [PubMed Central ID: PMC10366949]. https://doi.org/10.1001/jamainternmed.2023.3295.
  • 13.
    Hoy RF, Dimitriadis C, Abramson M, Glass DC, Gwini S, Hore-Lacy F, et al. Prevalence and risk factors for silicosis among a large cohort of stone benchtop industry workers. Occup Environ Med. 2023;80(8):439-46. [PubMed ID: 37328266]. [PubMed Central ID: PMC10423513]. https://doi.org/10.1136/oemed-2023-108892.
  • 14.
    Tse LA, Li ZM, Wong TW, Fu ZM, Yu ITS. High prevalence of accelerated silicosis among gold miners in Jiangxi, China. American Journal of Industrial Medicine. 2007;50(12):876-80. [PubMed ID: 17948247]. https://doi.org/10.1002/ajim.20510.
  • 15.
    Tse LA, Dai J, Chen M, Liu Y, Zhang H, Wong TW, et al. Prediction models and risk assessment for silicosis using a retrospective cohort study among workers exposed to silica in China. Sci Rep. 2015;5(1). 11059. [PubMed ID: 26090590]. [PubMed Central ID: PMC4473532]. https://doi.org/10.1038/srep11059.
  • 16.
    Quan H, Wu W, Yang G, Wu Y, Yang W, Min C, et al. Risk Factors of Silicosis Progression: A Retrospective Cohort Study in China. Front Med (Lausanne). 2022;9. 832052. [PubMed ID: 35445039]. [PubMed Central ID: PMC9013759]. https://doi.org/10.3389/fmed.2022.832052.
  • 17.
    Song X, Shen H, Zhou L, Qian G, Shi J, Xu S, et al. Survival analysis of 15,402 pneumoconiosis cases in Jiangsu Province of China from 1961 to 2019. Annals of Palliative Medicine. 2022;11(7):2291-301. [PubMed ID: 35400160]. https://doi.org/10.21037/apm-21-2824.
  • 18.
    Vacek PM, Glenn RE, Parker JE. Low-Level Respirable Crystalline Silica and Silicosis: Long-Term Follow-Up of Vermont Granite Workers. International Journal of Environmental Research and Public Health. 2024;21(5):608. [PubMed ID: 38791822]. [PubMed Central ID: PMC11121253]. https://doi.org/10.3390/ijerph21050608.
  • 19.
    Laney AS, Petsonk EL, Attfield MD. Pneumoconiosis among underground bituminous coal miners in the United States: Is silicosis becoming more frequent? Occupational and Environmental Medicine. 2010;67(10):652-6. [PubMed ID: 19773275]. https://doi.org/10.1136/oem.2009.047126.
  • 20.
    McCanlies E, Landsittel DP, Yucesoy B, Vallyathan V, Luster ML, Sharp DS. Significance of genetic information in risk assessment and individual classification using silicosis as a case model. Ann Occup Hyg. 2002;46(4):375-81. [PubMed ID: 12176706]. https://doi.org/10.1093/annhyg/mef055.
  • 21.
    Mohebi I RMK. Epidemiological study of silicosis in workers employed in silica crushing workshops. Iran Occupational Health. 2007;3(3 - 4):57-60.
  • 22.
    Rafeemanesh E, Majdi MR, Ehteshamfar SM, Fahoul MJ, Sadeghian Z. Respiratory diseases in agate grinding workers in Iran. Int J Occup Environ Med. 2014;5(3):130-6. [PubMed ID: 25027041]. [PubMed Central ID: PMC7767603].
  • 23.
    Masoodi S MM, Rafeemanesh E, Ehteshamfar S, Fahool MJ. Analyzing occupational lung disease among turquoise miners. Iran Occupational Health. 2009;6:1-10.
  • 24.
    Gharini S, Aminian O, Safavi E, Sharifian S, Rokni Yazdi H. A study of the prevalence of silicosis and lung dysfunction in foundry workers. Occupational Medicine Quarterly Journal. 2009;1(1):28-33.
  • 25.
    Ebrahimi S GH, Taheri E, Zamani K, Babaeian M, Hassanzadeh A. Prevalence of Silicosis and Related Factors among Workers of Stone Carving Workshops in Khomeinishahr, Iran. Health Sys Res. 2013;9(4):362-69.
  • 26.
    Akgun M, Araz O, Ucar EY, Karaman A, Alper F, Gorguner M, et al. Silicosis appears inevitable among former denim sandblasters: A 4-year follow-up study. Chest. 2015;148(3):647-54. [PubMed ID: 25654743]. [PubMed Central ID: PMC4556121]. https://doi.org/10.1378/chest.14-2848.
  • 27.
    Karataş M, Gündüzöz M, Özakinci OG, Karkurt Ö, Başer N. Predictive risk factors for development of silicosis in Turkish ceramic workers. Tuberk Toraks. 2019;67(1):39-46. [PubMed ID: 31130134]. https://doi.org/10.5578/tt.67990.
  • 28.
    Akgun M, Araz O, Akkurt I, Eroglu A, Alper F, Saglam L, et al. An epidemic of silicosis among former denim sandblasters. European Respiratory Journal. 2008;32(5):1295-303. [PubMed ID: 18579544]. https://doi.org/10.1183/09031936.00093507.
  • 29.
    Metadilogkul O, Ittiravivongs A, Limpakarnjanarat K, Rattanapornpan N, Pimiam S. Silicosis among mortar and pestle workers in northern Thailand: cross-sectional study. J Med Assoc Thai. 1988;71(10):533-6. [PubMed ID: 3266875].
  • 30.
    Souza TP, Watte G, Gusso AM, Souza R, Moreira JDS, Knorst MM. Silicosis prevalence and risk factors in semi-precious stone mining in Brazil. Am J Ind Med. 2017;60(6):529-36. [PubMed ID: 28514023]. https://doi.org/10.1002/ajim.22719.
  • 31.
    Knight D, Ehrlich R, Cois A, Fielding K, Grant AD, Churchyard G. Predictors of silicosis and variation in prevalence across mines among employed gold miners in South Africa. BMC Public Health. 2020;20(1). 829. [PubMed ID: 32487111]. [PubMed Central ID: PMC7268682]. https://doi.org/10.1186/s12889-020-08876-2.
  • 32.
    Ogawa S, Imai H, Ikeda M. A 40-year follow-up of whetstone cutters on silicosis. Industrial Health. 2003;41(2):69-76. [PubMed ID: 12725466]. https://doi.org/10.2486/indhealth.41.69.
  • 33.
    Trapido AS, Mqoqi NP, Williams BC, White NW, Solomon A, Goode RH, et al. Prevalence of occupational lung disease in a random sample of former mineworkers, Libode district, Eastern Cape Province, South Africa. American Journal of Industrial Medicine. 1998;34(4):305-13. https://doi.org/10.1002/(SICI)1097-0274(199810)34:4<305::AID-AJIM2>3.0.CO.
  • 34.
    Meijers JMM, Swaen GMH, Van Vliet K, Borm PJA. Epidemiologic studies of inorganic dust-related lung diseases in The Netherlands. Exp Lung Res. 1990;16(1):15-23. [PubMed ID: 2307146]. https://doi.org/10.3109/01902149009064696.
  • 35.
    Chaudhury N, Phatak A, Paliwal R, Raichaudhari C. Silicosis among agate workers at Shakarpur: An analysis of clinic-based data. Lung India. 2010;27(4):221-4. [PubMed ID: 21139719]. [PubMed Central ID: PMC2988173]. https://doi.org/10.4103/0970-2113.71955.
  • 36.
    Hoy RF. Artificial stone silicosis. Curr Opin Allergy Clin Immunol. 2021;21(2):114-20. [PubMed ID: 33332924]. https://doi.org/10.1097/ACI.0000000000000715.
  • 37.
    Ng TP, Phoon WH, Lee HS, Ng YL, Tan KT. An epidemiological survey of respiratory morbidity among granite quarry workers in Singapore: chronic bronchitis and lung function impairment. Ann Acad Med Singap. 1992;21(3):312-7. [PubMed ID: 1416776].
  • 38.
    Ranjan A, Panneerselvam A, Meena S, Gupta R. Silicotuberculosis: Newer trends. Indian J Tuberc. 2025;72(4):521-6. [PubMed ID: 40975585]. https://doi.org/10.1016/j.ijtb.2025.01.010.
  • 39.
    Habibi E, Khorshidikia S, Rismanchian M, Popov G. Identifying Training Needs and Occupational Hazards Among Welders: A Cross-sectional Study in the Metal Manufacturing Industry. Health Scope. 2025;14(3). https://doi.org/10.5812/healthscope-160737.
  • 40.
    Khorshidikia S, Rismanchian M, Popov G, Habibi E. Enhancing Occupational Safety in Welding: Identifying Hazards and Improving Personal Protective Equipment Utilization Through Hierarchical Task Analysis. Health Scope. 2026;15(1). https://doi.org/10.5812/healthscope-164956.

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