Literature DB >> 35110336

Occupational and environmental exposures, the association with chronic sinusitis.

Feras M Alkholaiwi1, Rahaf R Almutairi1, Danah M Alrajhi1, Basma A Alturki, Atheer G Almutairi1, Faris H Binyousef1.   

Abstract

OBJECTIVES: To find the association between environmental and occupational exposures and chronic rhinosinusitis (CRS) development.
METHODS: The Preferred Reporting Items Of Systematic Reviews Guidelines were used when a systematic literature review was conducted to find all published cases of CRS by searching PubMed database and Google Scholar. Published articles between 1989 and 2021 that reported chronic and occupational rhinosinusitis were included. However, articles that reported allergic rhinitis or upper airway diseases and non-English articles were excluded from this study.
RESULTS: A total of 97 articles were extracted initially, and 15 articles were reviewed after excluding 82 articles that did not match our inclusion criteria. Most studies linked CRS development to smoke exposure (n=9734), followed by living in rural areas as farms (n=5504). Exposure to pesticides (n=4248) contributed to a higher prevalence of CRS. Blue-collar occupations, such as fire fighters, farmers, and fishermen were significantly related to CRS development in a total of 5260 patients. Chronic rhinosinusitis mainly affected more men (n=8912) than women (n=8076).
CONCLUSION: We found that smoking was the most aggravating environmental factor. Chronic rhinosinusitis symptoms' severity increased with direct contact with allergens. Thus, the greatest proportion of patients with CRS was those with blue-collar occupations, such as firefighters, farmers, and fishermen. Copyright: © Saudi Medical Journal.

Entities:  

Keywords:  environmental exposure; nasal polyps; occupational exposure; sinusitis

Mesh:

Year:  2022        PMID: 35110336      PMCID: PMC9127924          DOI: 10.15537/smj.2022.43.2.20210849

Source DB:  PubMed          Journal:  Saudi Med J        ISSN: 0379-5284            Impact factor:   1.422


Chronic rhinosinusitis (CRS), one of the most common chronic diseases, is a condition of chronic inflammation of the paranasal sinus mucosa that lasts for at least 12 consecutive weeks, and is characterized by at least 2 of the following symptoms: facial pressure, pain or fullness, headache, nasal obstruction, clear or mucopurulent nasal discharge, and anosmia or hyposmia. The prevalence of CRS in Saudi Arabia is 25.3%, and its increase has been recorded in the past few years, particularly in the Eastern Province. Chronic rhinosinusitis is classified into 2 categories depending on the presence or absence of nasal polyps and a clinical assessment can be employed to distinguish these two categories: CRS with nasal polyps and CRS without nasal polyps. There are several other subtypes, such as dental sinusitis, fungal sinusitis, and pediatric CRS. It is evident that CRS is associated with impaired quality of life, decreasing work productivity, and costly medical treatments. The pathophysiology of CRS has drawn a lot of attention, leading to an increasing number of studies investigating the risk factors associated with CRS. There are two studies of the Korea National Health and Nutrition Examination Survey that identified several risk factors, such as septal deviation, allergic rhinitis, and influenza vaccination. Moreover, there was an increase in the prevalence of CRS in machinery and plant workers, and with occupational exposure to several factors such as dust, gases, and fumes. When patients with occupational rhinosinusitis expose continuously to the causal agents, their conditions may worsen leading to asthma; accordingly, it is important to study the etiology of CRS, specially occupational rhinosinusitis. Lastly, the relationship between exposure to occupational risk factors and the development of CRS still remains unclear. Thus, this systematic review study is designed to build on previously published studies by expanding the number of studies to find the association between environmental and occupational exposures and CRS development. The findings of these studies may raise the awareness and enhance knowledge concerning the environmental and occupational risk factors in patients with CRS, and these factors may be taken into account when evaluating them to prevent further exacerbations. Moreover, this may also help in planning occupational safety. Additionally, these results may also facilitate a better understanding of the epidemiology of CRS and provide valuable information for its prevention.

Methods

A systematic literature review was carried out to find all published cases of CRS, using the Preferred Reporting Items of Systematic Reviews guidelines by searching PubMed database and Google Scholar. Examination of the studies was carried out by 6 investigators (F.M.K., R.R.M., B.A.A., D.M.A., A.G.M., and F.H.B.) in a specific manner to prioritize determination, and to compare the significant articles. The search was carried out in June 2021 with the following terms: “chronic rhinosinusitis” and “occupation,” “sinusitis” and “environmental factors.” Details of the included and excluded articles are provided in Figure 1.
Figure 1

- The PRIMSA diagram details our selection process applied during the overview.

- The PRIMSA diagram details our selection process applied during the overview. We included all published articles between 1989 and 2021 that reported CRS and occupation, including the following data: age, gender, number of participants with and without CRS, type of environmental and occupational exposure, method of CRS diagnosis, symptoms of CRS, and type of intervention. The articles that reported allergic rhinitis or upper airway diseases were excluded. Non-English articles were excluded from this study.

Results

We reviewed 15 research papers after excluding 82 articles that did not meet our inclusion criteria. A total of 17476 patients were diagnosed with CRS. Most studies linked CRS development to smoke exposure (n=9734), followed by living in rural areas as farms (n=5504). Exposure to pesticide (n=4248) contributed to a higher prevalence of CRS. Blue-collar occupations, such as firefighters (n=2353), farmers, and fishermen (n=1184) were significantly related to the development of CRS in a total of 5260 patients in comparison to 1176 patients with CRS with white-collar occupations, such as sales and service workers (n=320) and managers (n=136). Details of the environmental and occupational factors and the method of diagnosis are provided in Table 1. CRS predominantly affected more men (n=8912) than women (n=8076). The average age of CRS diagnosis was around 40 years; 14 years was the minimum age of CRS diagnosis and 101 years was the maximum age.
Table 1

- Characteristics of the included studies in terms of number of patients,method of diagnosis and exposure to environmental and occupational factors.

Reference/yearNumber of patientsDiagnosis methodsOccupation and environmental exposure
Gao et la, 1 2016851Diagnosis based on EPOS 1 Clearance-related job (32 patients with CRS), poisonous gases (58), animal fur and having pets at home (154), carpet at home or in the workplace (51 patients with CRS), 2 air conditioner (439 patients with CRS who exposed to air conditioning less than 3 days/week, and 208 patients who exposed 3-6 days/week, and 129 CRS patients who exposed to air conditioning everyday), exposure to mould or damp environments (45 for CRS patients who exposed everyday, 137 who exposed frequently)
Homood et al, 3 2017219Diagnosis based on a survey that included 20 questions to investigate the sociodemographic and risk factors of chronic sinusitis. Criteria for patient selection was not mentionedSmoking (34 patients having sinusitis), injury exposure (185 having sinusitis), nasal deformities (29), exposure to pollution(34), immune system disturbance (15), aspirin sensitivity (7), allergy (151), bronchial asthma (28), medical and non-medical jobs
Hussein et al, 5 2019262Diagnosis based on EPOSIn-house domestic pets (cats or dogs, birds) (63 patients with fungal CRS and 144 with non-fungal CRS) cockroaches in house (37 patients with fungal CRS and 40 with non-fungal CRS), carpets (80 fungal CRS, 31 non-fungal CRS), exposure to plants (10 with fungal CRS, 62 with non-fungal CRS), exposure to dust at home or workplace (69 with fungal CRS, 12 with non-fungal CRS), residents in >30-year-old house (26 with fungal CRS, 2 with non-fungal CRS), Resident in overcrowded house floor space per person below ≤26 meter (27 with fungal CRS, 2 with non-fungal CRS), poor exposure to sun (93 with fungal CRS, 47 with non-fungal CRS)
Clarhed et al, 12 20181326Questionnaire based on EPOS guidelinesExposure to animals at work, smoking (24%), paper dust, metal dust, animals, moisture/mould/mildew.
No more data on percentage for each exposure.
Ahlroth Pind et al, 13 2017415Diagnosis based on EPOSDampness (11.3%), smoking, wood stoves as principal source of heat and exposure to gas, fumes, and dust at work.
No more data about percentage for each exposure.
Hwang et al, 14 20181501Diagnosis based on EPOSSmoking (712 CRS patients), allergic rhinitis, asthma, and atopic dermatitis, septal deviation, chronic otitis media, rural (368) or urban (1133) residence, blue-collar (1036) white-collar (464) occupation, heavy (475) or light stress (1026) level, presences (305) or absence (1207) suicidal ideation, obesity being overweight (528) or normal and less (973), and alcohol consumption twice a week or more (416) or less than twice a week (1084).
No more data on percentage for each exposure.
Koh et al, 15 2009945A questionnaire based on previously diagnosed CRSPlant or machine operators and assemblers (881 for men and 57 for women), craft and related trades workers (1387 for men and 282 for women), skilled agricultural or forestry or fishery workers (1045 for men and 1068 for women), sales workers and service workers (1857 for men and 1923 for women), technician and associated professionals (546 for men and 279 for women), professionals (499 men, 279 women), clerical workers (1477 men, 830 women)
Thilsing et al, 16 2012243Diagnosis based on EPOSExposure to high-molecular weight agents as (animal dander, fish or shellfish, plant antigen, mites and insects, latex, enzymes, bio aerosols, pharmaceutical products)(6.2%), low-molecular weight agents as (Highly reactive chemicals, isocyanides, reactive cleaning disinfection, wood dust, metal and metal fumes (9.3%), mixed exposure environments as (agricultural, textile production, metal work, irritant peaks) (6%), and low asthma risk agents (environmental tobacco smoke, exhaust, low-risk irritants, or jobs with low levels of exposure to asthmagens), occupational exposure to gasses or fumes or dust or smoke.
No more data on percentage for each exposure
Veloso-Teles et al, 17 201819Diagnosis based on EPOSSmoking, alcohol exposure, work sector (spinning 10.5% with nasal polyps, 20.4% with no nasal polyps), wrapping (5.3% with nasal polyps, 7.3% with no nasal polyps), weaving (26.3% with nasal polyps, 15.3% with no nasal polyps), dyeing (10.5% with nasal polyps and 9.2% with no nasal polyps), finishing (21.1% with nasal polyps and 27.6% with no nasal polyps), quality control (5.3% with nasal polyps and 3.6% with no nasal polyps), storing and packing (10.5% with nasal polyps and 7.1% with no nasal polyps), informatics and marketing (0% with nasal polyps and 3.1% with no nasal polyps), administration (0% with nasal polyps, 4.1% with no nasal polyps), designing (5.3% with nasal polyps and 1.5% with no nasal polyps), wood work (5.3% with nasal polyps and 0.5% with no nasal polyps), exposure to domestic fumes (such as: using coal or fire-wood) and domestic animals.
Kajiwara-Morita et al, 18 20182755A questionnaire based on previously diagnosed CRSSmoking (32.1% current smokers), alcohol consumption(30.6% who drink alcohol more than 3 times a week, 33.1% who drink alcohol 1-3 times a week), living on a farm (33.6%), exposure to grain dust (33.2%), mine dust (34.5%), wood dust (35.1%), diesel fumes (34.1%), radiation (42.8%)and mold (41.8%). Allergies such as mold allergies (62%), grass allergies (58.7%), and pollen (59.3%).
Putman et al, 19 20182507Subjective and objective assessment for diagnosis of CRSprolonged irritant exposure as defined by working at the WTC3 site of 6 months or more (p=1.08 to- 1.34 for 2-5 month exposure compared to p=1.31 to 1.65 for >6 months exposure), exposure to components found in WTC dust, such as metals, and smoking.
No more data on percentage for each exposure
Clarhed et al, 20 2020375Questionnaire based on EPOS guidelinePresence (n=170, 9%) or absence (n=205,4%) of atopy, presence (n=65,10%) or absence (n=310, 5%) of asthma, current (n=103, 7%) or past (n=85, 5%) or never (n=187, 5%) smokers, gas exposure such as cooking fumes, strong acids, dust exposure such as wood, paper, metal dusts, cleaning agents, hair care products, and a cold work environment
No more data on percentage for each exposure
Velasquez et al, 21 2019209Subjective and Objective diagnosis for CRS based on the International Consensus Statement on Allergy and RhinologyDiesel exposure, exposure to vapors, gases, dusts, fumes, fibers and mists (VGDFFIM) (48.60% CRS patients without nasal polyps, 63.50% CRS patients with nasal polyps)
Brautbar et al, 22 19981Subjective and objective assessment for diagnosis of CRSSmoking (contain ammonia) and dust exposure (n=1).
Lieu et al, 23 20005848A questionnaire based on sinusitis symptomsCurrent (n= 1523, 30%), former (n= 1466, 30%, never (n=2854, 27.9%) tobacco smoking

CRS: chronic rhinosinusitis, EPOS: European Position Paper on Rhinosinusitis and Nasal Polyps

WTC: world trade center, CRS: chronic rhinosinusitis, EPOS: European Position Paper on Rhinosinusitis and Nasal Polyps

- Characteristics of the included studies in terms of number of patients,method of diagnosis and exposure to environmental and occupational factors. CRS: chronic rhinosinusitis, EPOS: European Position Paper on Rhinosinusitis and Nasal Polyps WTC: world trade center, CRS: chronic rhinosinusitis, EPOS: European Position Paper on Rhinosinusitis and Nasal Polyps

Discussion

We carried out a systematic review study of the association between CRS and occupational and environmental factors that can lead to CRS whichis a prevalent disease considered as inflammation of the upper airway in the paranasal sinus mucosa that lasts for several weeks. CRS is characterized by symptoms including nasal obstruction / blockage/ congestion or nasal discharge (anterior/posterior nasal drip or purulent throat mucus), facial pain/pressure, and anosmia/hyposmia, which last at least 3 months. There were higher rates of hyposmia (16% versus 5%, p=0.003), facial pressure (38% vs. 24%, p=0.008), and sneezing (62% vs. 38%, p<0.001), headache (38% vs. 22%, p=0.003) and nasal pruritus (61% vs. 37%, p<0.001) as mentioned by Veloso-Teles. CRS is classified into 2 categories based on the presence or absence of nasal polyps. The prevalence of CRS ranges between 6% and 27.1%; the prevalence of CRS in the United States is 12% and in Europe is 10.9%. However, the prevalence of CRS in Saudi Arabia is 25.3%. There was a significant increase in the prevalence of CRS in machinery and plant operators. It is evident that CRS is associated with impaired quality of life, declining productivity at work, and unaffordable medical treatments. Furthermore, it has a negative effect on patients’ health by causing sleep disturbances, depression, sexual dysfunction, and anxiety. Different diagnostic methods of CRS were used in the articles included in our systematic review; 8 of those articles used the European Position Paper on Rhinosinusitis and Nasal Polyps as the method of diagnosis by fulfilling the European Position Paper on Rhinosinusitis and Nasal Polyps adult criteria in a questionnaire. While 2 articles used the methods of diagnosis based on a questionnaire, which was based on previously diagnosed cases of CRS, 2 other articles utilized subjective and objective assessment for the diagnosis of CRS. While one article adopted subjective and objective assessment for diagnosis of CRS based on the International Consensus Statement on Allergy and Rhinology, another article utilized a survey including 20 questions to investigate the sociodemographic and risk factors of chronic sinusitis as the diagnostic method, and finally one article used a questionnaire based on sinusitis symptoms. In this study, we found that environmental factors play a significant pathogenic role in the development of CRS. Our data showed that smoking (n=9734, 10%) was positively associated with CRS. There is a 44% higher risk for CRS development among smokers in comparison to non-smokers as illustrated by Clarhed et al. According to Chen et al, CRS is more prevalent in current smokers (n=1000, 12%) than former smokers (n=1057, 10%). On the contrary, Chen et al confirmed that active female smokers (n=654, 7.6%) were at a greater risk for CRS than active male smokers (n=347, 4.2%). Hur et al found a statistically significant relation between passive smoking and CRS; however, Wentzel et al found equal passive smoke exposure between CRS and control group. Therefore, Christensen et al concluded that there is no clear evidence supporting the association between secondhand smoke exposure and CRS. Residents of urban (n=4234, 4%) areas were at a lower risk for CRS. According to Kajiwara-Morita, farmers were more likely to develop CRS compared to non-farmers. This finding is supported by the heavy use of fungicide, pesticides, and insecticide (n=4248, 4%) in their residential areas. Similarly, Yu et al found that Asian sand dust (ASD), carried through wind from the Mongolian deserts, is associated with the development of CRS and other respiratory diseases. Yeo et al described the mechanism by which ASD leads to CRS as ASD increases the replication of rhinovirus leading to disturbance in the local immunological environment, rendering the nasal mucosa more susceptible to dust and microbes. However, Min et al and Hoffmans et al found no relation between the place of residence and prevalence of CRS. Sundaresan et al reported that because of the lack of precision of most studies regarding occupational exposure, no accurate conclusion can be deduced. However, Velazquez et al found a linear relationship between occupational exposure to gases vapor, dust, fibers, fumes, and mists (n=150, 1%) and the need for corticosteroids and functional endoscopic sinus surgery in patients with CRS (n=63, 0.6%), which is in agreement with our findings. Moreover, we found that individuals with blue-collar occupations (n=5260, 5.4%) have a greater potential to acquire CRS than those with white-collar occupations (n=1176, 1.22%), which is consistent with Thilsing et al findings. Koh et al reported that plant and machine operators and assemblers (n=75, 0.077%), craft workers (n=87, 0.09%), and elementary occupations (n=110, 0.11%) were at a greater risk to develop CRS based on data acquired from the Korea National Health and Nutrition Examination Surveys. In contrast, we found that firefighters (n=2353, 2.4%) were at the greatest risk for CRS, which is supported by Webber et al based on a cumulative analysis of studies conducted on various countries. In addition, farmers and fishermen (n=1184, 1%) directly follow firefighters, as supported by Siracusa et al.

Study limitations

This study exhibited that we rely on studies that have subjective or objective diagnosis of CRS, also there is no local studies available which will have an impact on relation between CRS and environmental exposures in our community, and lastly it’s preferred to be carried out along with meta-analysis. Future meta-analysis needs to be conducted to provide further evidence regarding these findings. Also, local studies need to be carried out to evaluate this relation in our community. In conclusion, CRS is a chronic inflammatory disease of the paranasal sinuses, affected by several environmental and occupational factors. We found that smoking was the most aggravating environmental factor followed by exposure to pesticides, which is observed in rural areas. The severity of CRS symptoms tends to increase with direct contact with allergens. Thus, the greatest proportion of patients with CRS is those with blue-collar occupations, including firefighters, farmers, and fishermen.
  30 in total

Review 1.  Epidemiology of occupational rhinitis: prevalence, aetiology and determinants.

Authors:  A Siracusa; M Desrosiers; A Marabini
Journal:  Clin Exp Allergy       Date:  2000-11       Impact factor: 5.018

2.  Prevalence and risk factors of chronic sinusitis in Korea: results of a nationwide survey.

Authors:  Y G Min; H W Jung; H S Kim; S K Park; K Y Yoo
Journal:  Eur Arch Otorhinolaryngol       Date:  1996       Impact factor: 2.503

3.  A Systematic Review of the Association between Cigarette Smoke Exposure and Chronic Rhinosinusitis.

Authors:  Dallin N Christensen; Zechariah G Franks; Hilary C McCrary; Ahlam A Saleh; Eugene H Chang
Journal:  Otolaryngol Head Neck Surg       Date:  2018-02-20       Impact factor: 3.497

4.  Chronic rhinosinusitis in children: race and socioeconomic status.

Authors:  David F Smith; Stacey L Ishman; David E Tunkel; Emily F Boss
Journal:  Otolaryngol Head Neck Surg       Date:  2013-07-24       Impact factor: 3.497

Review 5.  Chronic rhinosinusitis, race, and ethnicity.

Authors:  Zachary M Soler; Jess C Mace; Jamie R Litvack; Timothy L Smith
Journal:  Am J Rhinol Allergy       Date:  2012 Mar-Apr       Impact factor: 2.467

6.  Higher prevalence of nasal polyposis among textile workers: an endoscopic based and controlled study.

Authors:  R Veloso-Teles; R Cerejeira; R Roque-Farinha; C von Buchwald
Journal:  Rhinology       Date:  2018-06-01       Impact factor: 3.681

7.  Prevalence and Risk Factors of Chronic Rhinosinusitis in the Elderly Population of Korea.

Authors:  Chi Sang Hwang; Hye Sun Lee; Si Nae Kim; Ji Hyung Kim; Dong-Joon Park; Kyung-Su Kim
Journal:  Am J Rhinol Allergy       Date:  2018-11-28       Impact factor: 2.467

8.  The relationship between chronic rhinosinusitis and occupation: the 1998, 2001, and 2005 Korea National health and nutrition examination survey (KNHANES).

Authors:  Dong-Hee Koh; Hyoung-Ryoul Kim; Soon-Sil Han
Journal:  Am J Ind Med       Date:  2009-03       Impact factor: 2.214

9.  Influence of self-reported chronic rhinosinusitis on health-related quality of life: a population-based survey.

Authors:  Qing-Ling Fu; Jin-Xiang Ma; Chun-Quan Ou; Cui Guo; Shuang-Quan Shen; Geng Xu; Jianbo Shi
Journal:  PLoS One       Date:  2015-05-15       Impact factor: 3.240

10.  Asian dust storm elevates children's respiratory health risks: a spatiotemporal analysis of children's clinic visits across Taipei (Taiwan).

Authors:  Hwa-Lung Yu; Lung-Chang Chien; Chiang-Hsing Yang
Journal:  PLoS One       Date:  2012-07-27       Impact factor: 3.240

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