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International Journal of Environmental Research and Public Health logoLink to International Journal of Environmental Research and Public Health
. 2018 Oct 16;15(10):2264. doi: 10.3390/ijerph15102264

Seroreactivity and Risk Factors Associated with Coxiella burnetii Infection among Cattle Slaughterhouse Workers in South Korea

Ji-Hyuk Park 1, Seon Do Hwang 2,3, Dilaram Acharya 1,4, Seung Hun Lee 2,5, Kyu Jam Hwang 2,6, Seok-Ju Yoo 1, Kwan Lee 1,*
PMCID: PMC6210963  PMID: 30332766

Abstract

Q fever, caused by Coxiella burnetii, is a zoonotic disease that is an occupational hazard to people who work in close contact with animals or their carcasses. A nationwide serologic study among cattle slaughterhouse workers who were presumed to be at risk of having C. burnetii infection in South Korea was performed to investigate the seroreactivity of C. burnetii infection and identify related risk factors. Out of 1017 cattle slaughterhouse workers in South Korea, 923 (90.8%) participated in this cross-sectional study. Samples were tested for immunoglobulin G (IgG) and M (IgM) antibodies against phase II C. burnetii via indirect immunofluorescence assay. The overall seroreactivity, defined as IgG or IgM antibody titer cutoffs ≥1:16, was 9.1% (84/923). Additionally, a significant association was found between the seroreactivity of C. burnetii infection and performing carcass evisceration work (odds ratio, 2.36; 95% confidence interval, 1.39–4.03) in multivariate analysis. To diminish C. burnetii infection, cattle slaughterhouse workers need to take precautions during the evisceration process.

Keywords: Coxiella burnetii, slaughterhouse, serologic tests, risk factors, South Korea

1. Introduction

Q fever is a global zoonosis caused by the ubiquitous pathogen Coxiella burnetii, a microorganism that can withstand harsh physical conditions, including a hot and dry environment for a period ranging from months to years [1,2]. Domestic ruminants such as goat, sheep, and cattle are the primary reservoirs for this organism, although multiple vertebrate species have also been reported to be infected [3]. In animals, the majority of infections are asymptomatic, except for those affecting the reproductive system in females. However, infected ruminants can shed C. burnetii in feces, urine, milk, placental membranes, and amniotic fluids [4].

Clinical presentation of Q fever in humans is usually asymptomatic or as a mild disease with spontaneous recovery. However, a minority of patients may experience serious complications and even death [5]. The most common modes of human transmission occur either by direct inhalation of infective aerosol or by the inhalation of dust contaminated with infective materials such as feces, urine, and amniotic fluids [1]. In addition, the ingestion of raw milk and dairy products is a less commonly reported route of transmission [6]. Hence, individuals who have occupations with increased contact with animals or animal products, such as farmers, veterinarians, slaughterhouse workers, and laboratory workers, could have an increased risk for C. burnetii infection [7].

Several studies have investigated the C. burnetii serologic infection rate and the association between certain risk factors and C. burnetii infection among high risk groups. A study from Turkey [8] reported the highest seroprevalence among slaughterhouse workers, and two studies from Iran [9,10] reported a higher rate of seropositivity among slaughterhouse workers and butchers compared to other risk groups. Additionally, slaughterhouse workers who processed camel carcasses had an increased risk of developing C. burnetii seropositivity [9].

In South Korea, the majority of animals processed in slaughterhouses are cattle and pigs. A South Korean serologic study among slaughterhouse workers who were processing cattle, the primary reservoir of C. burnetii, reported C. burnetii seroreactivity of 11.3% [11]. However, the study did not examine the association between the types of cattle slaughter work or work hygiene-related factors. In the current study, we aimed to evaluate the seroreactivity and risk factors associated with C. burnetii infection among cattle slaughterhouse workers in South Korea.

2. Materials and Methods

2.1. Study Design

In 2012, there were a total of 1017 cattle slaughterhouse workers in 71 slaughterhouses according to data obtained from Ministry for Food, Agriculture, Forestry, and Fisheries in South Korea. We aimed to enroll all cattle slaughterhouse workers who were presumed to have C. burnetii infection in this cross-sectional study. Self-developed questionnaires were adapted from a previous study for cattle slaughterhouse workers [11]. In addition, several additional questions, based on available literature and the direct observation of several cattle slaughterhouses, were added to the questionnaires to solicit information on the types of slaughter work and work hygiene-related factors [12,13,14]. The types of cattle slaughter work were classified as follows: cattle transportation, stunning, bleeding, cutting (heads, front legs, and hind legs), skinning (manual and mechanical), chest opening, evisceration, body splitting, and carcass washing.

2.2. Data Collection

The cattle slaughterhouse workers were informed about the study and received the questionnaires prior to the slaughterhouse visits. Six study teams visited all the slaughterhouses during June 2012. The completed questionnaires were verified by researchers to ensure the quality of the data collected. Following this, the blood sample (10 mL) was obtained from the participants for C. burnetii antibody testing. Sera were kept at 4 °C and transported to the Korea Centers for Disease Control and Prevention within 24 h of collection.

2.3. Serologic Testing

An indirect immunofluorescence assay (IFA), the standard method of diagnosing Q fever [15], was used to detect immunoglobulin G (IgG) and immunoglobulin M (IgM) antibodies against phase II C. burnetii (Focus Diagnostics, Cyprus, CA, USA) according to manufacturer’s instruction. The samples were considered seroreactive when the IgG or IgM antibody titer cutoffs were ≥1:16, which are the same criteria used by a previous study performed among cattle slaughterhouse workers in South Korea [11].

2.4. Statistical Analysis

We conducted univariate logistic regression analysis to determine the factors associated with C. burnetii infection among slaughterhouse workers. Subsequently, variables determined to be important (p < 0.10) were incorporated into the multivariate logistic regression analysis to calculate odds ratios (ORs) with 95% confidence intervals (CIs). The statistical significance was set at p < 0.05. The data were analyzed using SPSS Version 17.0 (SPSS Inc., Chicago, IL, USA).

2.5. Ethical Considerations

The Institutional Review Board of Dongguk University Gyeongju Hospital reviewed and approved this study (approval number: 12-033). Informed consent was obtained from all participants prior to enrollment in this study.

3. Results

Out of 1017 slaughterhouse workers, 923 (90.8%) participated in this study. The participants consisted of 865 men (93.7%) and 58 women (6.3%), with a median age of 51 years. The median duration of work was 11 years, and the median slaughterhouse scale was 40 cattle per day.

3.1. Serologic Profiles and Seroreactivity of C. burnetii

The titer cutoffs of phase II IgG antibodies against C. burnetii ranged from <1:16 to 1:2048; 84 samples (9.1%) had IgG titers ≥1:16. The titer cutoffs of phase II IgM antibodies against C. burnetii ranged from <1:16 to 1:32; two samples (0.2%) had IgM titers ≥1:16, both of which had IgG titers of 1:64. Overall, 84 out of 923 participants (9.1%) were seroreactive for C. burnetii (Table 1).

Table 1.

Serologic results for Coxiella burnetii phase II antigen among cattle slaughterhouse workers in South Korea.

Titer IgG IgM
No. % No. %
<1:16 839 90.9 921 99.8
1:16 18 2.0 1 0.1
1:32 18 2.0 1 0.1
1:64 20 2.2 0 0.0
1:128 15 1.6 0 0.0
≥1:256 13 1.4 0 0.0
Total 923 100.0 100.0 100.0

Ig, immunoglobulin.

3.2. Univariate Analysis of C. burnetii Seroreactivity and Potential Risk Factors

Increased age (≥60 years) was associated with a higher risk of C. burnetii infection compared to younger individuals (<45 years) (p = 0.091). Additionally, a lower level of education was associated with a higher risk of C. burnetii infection (p = 0.071). However, sex, duration of work, slaughterhouse scale, and consumption of raw milk were not associated with C. burnetii seroreactivity (Table 2). Among the types of slaughter work, cattle slaughterhouse workers who performed carcass evisceration had a higher risk of C. burnetii infection (p = 0.001). Other types of slaughter work were not associated with C. burnetii seroreactivity (Table 3). The questionnaires also solicited information about the use of personal protective equipment (e.g., glasses, masks, gloves, aprons, and boots), the habit of showering after work, contact with blood or feces, and the presence of wounds on skin. Only oral exposure to blood (≥ once a week) was associated with a higher risk of C. burnetii infection (p = 0.072, Table 4).

Table 2.

Association of demographic characteristics with Coxiella burnetii seroreactivity among cattle slaughterhouse workers in South Korea.

Total Seroreactivity No. (%) OR (95% CI) p Value a
Sex
Male 865 82 (9.5) 2.93 (0.70–12.24) 0.140
Female 58 2 (3.4) Reference
Age (years)
<45 272 20 (7.4) Reference
45–59 506 46 (9.1) 1.26 (0.73–2.18) 0.408
≥60 145 18 (12.4) 1.79 (0.91–3.50) 0.091
Duration of work (years)
<15 543 47 (8.7) Reference
15–29 293 25 (8.5) 0.98 (0.59–1.64) 0.952
≥30 77 9 (11.7) 1.40 (0.66–2.98) 0.387
Region
Northern 200 13 (6.5) Reference
Central 463 43 (9.3) 1.47 (0.77–2.80) 0.239
Southern 260 28 (10.8) 1.74 (0.87–3.45) 0.115
Slaughterhouse scale (cattle per day)
<30 292 28 (9.6) Reference
30–59 315 24 (7.6) 0.78 (0.44–1.38) 0.387
≥60 316 32 (10.1) 1.06 (0.62–1.81) 0.824
Education
Middle school or less 440 48 (10.9) 1.52 (0.96–2.39) 0.071
High school or more 482 36 (7.5) Reference
Consumption of raw beef
Yes (≥once a week) 453 40 (8.8) 0.94 (0.60–1.47) 0.771
No 469 44 (9.4) Reference
Consumption of raw by-products b
Yes (≥once a week) 319 27 (8.5) 0.89 (0.55–1.43) 0.620
No 603 57 (9.5) Reference
Consumption of raw milk
Yes (within a year) 16 2 (12.5) 1.43 (0.32–6.38) 0.643
No 900 82 (9.1) Reference
Breeding cattle
Yes 42 1 (2.4) 0.24 (0.03–1.77) 0.162
No 857 79 (9.2) Reference

OR, odds ratio; CI, confidence interval. a Univariate logistic regression was applied. b Raw by-products refer to raw liver or stomach tissue.

Table 3.

Association of work types with Coxiella burnetii seroreactivity among cattle slaughterhouse workers in South Korea.

Total Seroreactivity No. (%) OR (95% CI) p Value a
Cattle transportation
Yes 141 9 (6.4) 0.64 (0.31–1.32) 0.226
No 782 75 (9.6) Reference
Stunning
Yes 72 7 (9.7) 1.08 (0.48–2.44) 0.849
No 851 77 (9.0) Reference
Bleeding
Yes 89 9 (10.1) 1.14 (0.55–2.36) 0.727
No 834 75 (9.0) Reference
Cutting of heads
Yes 122 14 (11.5) 1.35 (0.74–2.49) 0.329
No 801 70 (8.7) Reference
Cutting of front legs
Yes 82 7 (8.5) 0.93 (0.41–2.08) 0.852
No 841 77 (9.2) Reference
Cutting of hind legs
Yes 115 15 (13.0) 1.61 (0.89–2.92) 0.119
No 808 69 (8.5) Reference
Manual skinning
Yes 133 13 (9.8) 1.10 (0.59–2.04) 0.770
No 790 71 (9.0) Reference
Mechanical skinning
Yes 137 11 (8.0) 0.85 (0.44–1.65) 0.637
No 786 73 (9.3) Reference
Chest opening
Yes 84 9 (10.7) 1.22 (0.59–2.54) 0.590
No 839 75 (8.9) Reference
Evisceration
Yes 129 22 (17.1) 2.43 (1.43–4.11) 0.001
No 794 62 (7.8) Reference
Body splitting
Yes 83 7 (8.4) 0.91 (0.41–2.05) 0.825
No 840 77 (9.2) Reference
Carcass washing
Yes 85 7 (8.2) 0.89 (0.40–1.99) 0.771
No 838 77 (9.2) Reference

OR, odds ratio; CI, confidence interval. a Univariate logistic regression was applied.

Table 4.

Association of work hygiene-related factors with Coxiella burnetii seroreactivity among cattle slaughterhouse workers in South Korea.

Total Seroreactivity No. (%) OR (95% CI) p Value a
Wearing protective glasses
Always 224 21 (9.4) 1.02 (0.61–1.72) 0.932
Sometimes/rarely 686 63 (9.2) Reference
Wearing a protective mask
Always 523 51 (9.8) 1.17 (0.74–1.85) 0.497
Sometimes/rarely 391 33 (8.4) Reference
Wearing protective gloves
Always 730 68 (9.3) 1.05 (0.59–1.86) 0.860
Sometimes/rarely 180 16 (8.9) Reference
Wearing a protective apron
Always 824 78 (9.5) 1.53 (0.65–3.62) 0.329
Sometimes/rarely 94 6 (6.4) Reference
Wearing protective boots
Always 878 81 (9.2) 1.29 (0.39–4.26) 0.679
Sometimes/rarely 41 3 (7.3) Reference
Taking a shower after work
Always 894 82 (9.2) 1.31 (0.31–5.63) 0.714
Sometimes/rarely 28 2 (7.1) Reference
Contact with blood around the mouth
Yes (≥once a week) 473 51 (10.8) 1.52 (0.96–2.41) 0.072
No 449 33 (7.3) Reference
Contact with blood around the body
Yes (≥once a week) 642 62 (9.7) 1.25 (0.75–2.08) 0.391
No 279 22 (7.9) Reference
Contact with feces/urine around the mouth or body
Yes (≥once a week) 526 51 (9.7) 1.17 (0.74–1.86) 0.492
No 394 33 (8.4) Reference
Presence of wound on skin
Yes (within a year) 134 12 (9.0) 0.97 (0.51–1.84) 0.929
No 783 72 (9.2) Reference

OR, odds ratio; CI, confidence interval. a Univariate logistic regression was applied.

3.3. Multivariate Analysis of C. burnetii Seroreactivity and Important Risk Factors

The following factors identified as being of importance (p < 0.10) in the univariate analysis were included in the multivariate model: age, education, performing carcass evisceration, and oral exposure to blood. Of these variables, performing carcass evisceration (OR, 2.36; 95% CI, 1.39–4.03) was significantly associated with a higher risk of C. burnetii infection. However, oral exposure to blood had a higher risk of C. burnetii infection without statistical significance (OR, 1.49; 95% CI, 0.93–2.37, Table 5).

Table 5.

Multivariate logistic regression analysis of important variables (p < 0.10) associated with Coxiella burnetii seroreactivity among cattle slaughterhouse workers in South Korea.

OR (95% CI) p Value
Age (years)
<45 Reference
45–59 1.06 (0.57–1.98) 0.852
≥60 1.59 (0.73–3.47) 0.248
Education
Middle school or less 1.33 (0.78–2.29) 0.294
High school or more Reference
Evisceration
Yes 2.36 (1.39–4.03) 0.002
No Reference
Contact with blood around the mouth
Yes (≥ once a week) 1.49 (0.93–2.37) 0.095
No Reference

OR, odds ratio; CI, confidence interval.

4. Discussion

In this study, we determined that C. burnetii seroreactivity was 9.1% (84/923), and that seroprevalence (phase II IgG or IgM titer ≥1:64) was 5.2% (48/923) among cattle slaughterhouse workers. Slaughterhouse workers are one of the groups that are occupationally exposed to C. burnetii, and their seroprevalence was considerably higher than that among asymptomatic people in a rural area in South Korea (1.5%) [16]. According to the previous South Korean study conducted among cattle slaughterhouse workers in 2007, the seroreactivity and seroprevalence against C. burnetii were 11.3% and 4.0%, respectively [11] which is consistent with the current study’s findings. This serologic trend corresponds with the few Q fever cases in South Korea during 2007–2012 (approximately 10 cases annually) [17].

An Iranian serologic study of C. burnetii infection tested by IFA reported a seroprevalence (phase II IgG titer ≥1:64) of 46.5% among slaughterhouse workers and butchers [18], while another similar study which tested by enzyme-linked immunosorbent assay (ELISA) in the southeast of Iran identified a seroprevalence of 68.0% among slaughterhouse workers [19]. An Italian study performed among slaughterhouse workers produced a comparatively high seroprevalence of 73.7%, tested by ELISA [20]. All these three studies reported a higher prevalence of C. burnetii infection among slaughterhouse workers than we found in South Korea. The variation could to attributable to the differences in serologic testing methodology, the C. burnetii infection status of the slaughtered animals, the level of exposure to risk factors and whether or not effective protective measures were used during the slaughtering process. In summary, C. burnetii infection among slaughterhouse workers in South Korea was found to be lower than among their counterparts in other countries. Interestingly, a study of the seroprevalence of C. burnetii infection among cattle in South Korea reported the lowest seroprevalence among Korean native cattle, which comprised the main slaughtering cattle in 2012 [13,21].

We found that cattle slaughterhouse workers who were involved in carcass evisceration yielded significantly higher odds of having C. burnetii infection. Infected cattle shed a large amount of C. burnetii in feces, urine, milk, and vaginal mucus [15]. During the evisceration process, leakage of feces in the digestive tract and urine and vaginal mucus in the urogenital tract may occur. The increased concentration of C. burnetii in the air around the evisceration work environment might facilitate the spread of infection. However, manual skinning, including mammary gland removal, was not significantly associated with C. burnetii infection. Considering that cattle are not usually slaughtered during the peripartum period, when cattle produce milk, slaughterhouse workers performing manual skinning are rarely exposed to milk. Other slaughtering processes that could create aerosols through the use of mechanical devices (cutting, mechanical skinning, chest opening, and body splitting) were also not significantly associated with C. burnetii infection. This might be influenced by discordance between the shedding sites of C. burnetii and the cutting sites of those slaughtering processes.

Our multivariate analysis also revealed that oral exposure to blood was not significantly associated with C. burnetii infection. Similarly, a study among slaughterhouse workers and butchers in Iran reported that the splashing of animal secretions on the face or body was not significantly associated with C. burnetii infection [9]. In addition, the use of personal protective equipment, including wearing a protective mask, was not significantly associated with a lower risk of C. burnetii infection. However, protective masks (N-95 or above) have been identified as a protective factor for C. burnetii infection [7,22]. We assume that slaughterhouse workers in South Korea might use insufficiently protective masks (such as cloth masks or face masks) rather than N-95 masks. Slaughterhouse workers over 60 years of age were not at increased risk for seroreactivity in our multivariate analysis. Other serologic studies among slaughterhouse workers also reported no association between older age and C. burnetii infection [9,19].

This was a nationwide cross-sectional study of C. burnetii infection among cattle slaughterhouse workers in South Korea; most of the study participants participated in the study, giving a high response rate of 90.8%. However, the study should address some specific limitations. First, we only collected serum samples during summer. The rate of C. burnetii infection in cattle might be affected by seasonal factors [15], and this could influence the seroreactivity rate among cattle slaughterhouse workers. Second, although we investigated various slaughtering work-related risk factors, some other lifestyle-related potential risk factors—for instance, exposure to wildlife and other sources of C. burnetii infection—could not be ruled out. Third, we could not investigate the C. burnetii infection status of the slaughtered cattle, which might influence the seroreactivity of cattle slaughterhouse workers. In addition, our result demonstrated that performing carcass evisceration work was a potential risk factor of C. burnetii infection in general, rather than being cattle-specific. However, this study explored an important area of research that could help develop evidence-based preventive strategies to reduce the burden of Q fever.

5. Conclusions

In conclusion, our study investigated the C. burnetii seroreactivity rate of 9.1% among cattle slaughterhouse workers in South Korea. We identified performing carcass evisceration work as a risk factor for C. burnetii infection. To diminish C. burnetii infection, slaughterhouse workers should take precautions during the evisceration process, and furthermore, the working environment of slaughterhouses during the evisceration process might need to be improved.

Author Contributions

Conceptualization, J.-H.P., S.-J.Y. and K.L.; Data curation, S.D.H., S.H.L. and K.J.H.; Formal analysis, J.-H.P., S.D.H., D.A., S.H.L., K.J.H. and S.-J.Y.; Funding acquisition, J.H.P., S.D.H., S.H.L. and K.J.H.; Investigation, J.-H.P., S.D.H., S.H.L., K.J.H., S.-J.Y. and K.L.; Methodology, J.-H.P., S.D.H., D.A., S.H.L., K.J.H., S.-J.Y. and K.L.; Resources, K.J.H. and S.-J.Y.; Supervision, J.-H.P., K.J.H., S.-J.Y. and K.L.; Visualization, K.L.; Writing–original draft, J.-H.P., D.A. and S.-J.Y.; Writing–review & editing, J.-H.P., S.D.H., D.A., S.H.L., K.J.H., S.-J.Y. and K.L.

Funding

This work was supported by a grant from the Korea Centers for Disease Control and Prevention (2012-E21004-00).

Conflicts of Interest

The authors declare no conflict of interest.

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