Seroepidemiologic Survey of Lyme Disease among Forestry Workers in National Park Offices in South Korea
Department of Preventive Medicine, College of Medicine, Dongguk University, Gyeongju 38066, Korea
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(6), 2933; https://doi.org/10.3390/ijerph18062933
Submission received: 11 February 2021
/
Revised: 9 March 2021
/
Accepted: 10 March 2021
/
Published: 12 March 2021
Abstract
:Limited data are available on the current status of Lyme disease in South Korea. The aim of this study was to investigate the seroprevalence and risk factors associated with Lyme disease infection among forestry workers in National Park Offices in South Korea. We enrolled National Park Office forestry workers (NPOFWs) who had worked for ≥1 year. Participants completed questionnaires that addressed various subjects including work types and work hygiene-related factors. Collected serum samples were tested using immunofluorescence assay to detect anti-Borrelia antibodies. Multivariate logistic regression was used to identify independent risk factors of seroprevalence. Of 1,410 NPOFWs, 655 (46.5%) participated in this study, and an overall seroprevalence of Lyme disease antibodies was 8.1%. Analysis showed that always eating meals in woodland (odds ratio (OR), 5.11; 95% confidence interval (CI), 2.08–12.52) and raising dogs outside homes (OR, 3.25; 95% CI, 1.57–6.75) were significantly associated with Lyme disease infection. This seroprevalence study indicates that Lyme disease is an important disease among NPOFWs in South Korea. These identified modifiable risk factors should be considered while designing preventive strategies for reducing Lyme disease infection among NPOFWs.
1. Introduction
Lyme disease is a zoonotic tick-borne disease that is caused by a wide variety of spirochete Borrelia burgdorferi. In the Americas, B. burgdorferi sensu stricto (s.s.) are the main pathogen, while in Europe, B. afzelii and B. garinii are common [1]. Lyme disease is a multi-system illness that primarily affects the nervous system, skin, joints, and heart. Most people treated with antibiotics for Lyme disease do recover whereas only a small percentage have persisting symptoms [2]. Delayed treatment can result in sequelae and long-term antibiotic use, and results in excessive health care burdens in terms of cost and the use of health facilities [3].
The incidence of Lyme disease has been consistently reported to be increasing in different parts of the world including America, Europe, and Asia [4]. The risk of contracting the disease is largely dependent on the activities of individuals and exposure in areas inhabited by ticks, which include woodlands, rural areas, and forests [5,6,7,8]. Several studies reported that a wide range of personal and environmental preventive measures, such as wearing protective clothing, checking for ticks during outdoor activities, applying repellents prior to outdoor activities, taking a shower after visiting areas at risk, and the use of host-targeted acaricides, are protective factors for Lyme disease infection [5,7,9].
In South Korea, Lyme disease was designated as a National Notifiable Infectious Disease in 2010, and since then, reports of the disease have increased. During 2011–2019, an average of 15.8 cases of Lyme disease was reported annually, with 23 cases in 2019 [10]. A rise in cases of Lyme disease [10] and the identification of B. burgdorferi infection in animals [11,12] in South Korea suggest that Lyme disease will continue to be a public health problem. Employees assigned to work in forest, woodland, and suburban areas are more likely to be bitten by ticks, and thus, are at greater risk of Lyme disease [13,14]. Few human studies on Lyme disease have been published in South Korea [15,16], however, these studies did not investigate Lyme disease infection among forestry workers.
Investigations of the prevalence and risk factors for Lyme disease infection among risk groups aid the design and implementation of effective preventive strategies. The aim of this study was to determine the seroprevalence and identify the risk factors associated with Lyme disease infection among forestry workers in national parks, who constitute a high-risk group in South Korea.
2. Materials and Methods
2.1. Ethics and Consent
This study was conducted after obtaining approval from the Institutional Review Board of Dongguk University Gyeongju Hospital (approval number: 16-286). Written informed consent was obtained from all study participants prior to enrollment. All personal identifiers were removed before data analysis, and privacy, confidentiality, and anonymity were fully maintained.
2.2. Study Setting and Population
The Korea National Park Service was established in 1987 to conserve natural resources through research and study. This organization is responsible for the management of national parks, which involves, for example, the installation and maintenance of park facilities, the publication of maps, and promotional activities [17]. In South Korea, the National Park Service manages 21 of the 22 national parks, except the Hallasan National Park in Jeju Island. National Park Offices are affiliated with the Korea National Park Service and are located near national parks to facilitate professional management. In view of the low incidence of Lyme disease in South Korea (0.02 cases per 100,000 population in 2015) [10], we restricted participants to those who had worked for ≥1 year as National Park Office forestry workers (NPOFWs) and enrolled 655 of 1410 NPOFWs working in 29 main offices and 65 branch offices throughout the country.
2.3. Data Collection
In cooperation with the Korea National Park Service, we informed NPOFWs about the study and mailed questionnaires to them prior to visiting offices. The self-developed questionnaire consisted of four parts: (i) general characteristics of participants; (ii) type of work performed; (iii) work hygiene-related factors (including wearing personal protective equipment, risky behaviors during outdoor work, and protective behaviors during and after outdoor work); and (iv) other potential risk factors (such as performing additional jobs and raising animals). Our study team visited all 29 main offices during December 2016; the enrolled workers were asked to visit the nearest main office for appointments. Completed questionnaires were verified by the researchers to ensure the quality of the data obtained.
2.4. Serologic Testing
On interview days, a blood sample (10 mL) was collected from each participant. Serum samples were transferred to the Korea Centers for Disease Control and Prevention to test for Lyme disease. An in-house indirect immunofluorescence assay (IFA) was performed to quantify immunoglobulin G (IgG) and immunoglobulin M (IgM) antibody levels to B. burgdorferi [18]. Samples were considered seropositive when IgG or IgM antibody titers were ≥1:256 or ≥1:16, respectively, which are the criteria used during the first-step of laboratory testing for Lyme disease in South Korea [18].
2.5. Statistical Analysis
Data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 20.0 (SPSS, IBM, Armonk, NY, USA). We conducted univariate logistic regression analysis to identify factors associated with Lyme disease infection among NPOFWs. Following this, factors with p-value < 0.10 were incorporated into multivariate logistic regression with backward elimination to calculate odds ratios (ORs) and 95% confidence intervals (CIs). The statistical significance was set to p-value < 0.05.
3. Results
3.1. Personal Profiles of the Participants
The 655 NPOFWs comprised 502 (76.6%) men and 153 (23.4%) women. Median age was 43 years (range, 18–71), and median duration of working for National Park Offices was 7 years (range, 1–38). Four hundred and seventeen workers (63.7%) were based at main offices and 238 (36.3%) at branch offices.
3.2. Serologic Results
Six hundred and fifty-five (46.4%) of 1410 NPOFWs participated in this study. The overall seroprevalence of Lyme disease among participants was 8.1% (53/655). Titer endpoints for B. burgdorferi IgG varied between <1:16 and 1:512, and in 21 samples (3.2%) reached or went beyond 1:256. Titer endpoints for B. burgdorferi IgM varied between <1:16 and 1:32, and in 34 samples (5.2%) reached or went beyond 1:16. Two samples (0.3%) had IgG titers of ≥1:256 and IgM titers of ≥1:16 (Table 1).
3.3. Univariate Analysis of Lyme Disease Infection and Associated Risk Factors
Older individuals (≥50 years) were less likely to be seropositive to B. burgdorferi than younger individuals (<29 years) (p = 0.081). However, duration of work, sex, region, type of organization, and level of education were not associated with Lyme disease infection (Table 2). Although NPOFWs perform various tasks, work type was not associated with Lyme disease infection (Table 3). NPOFWs who always ate meals in woodland during outdoor work were associated with a higher risk of Lyme disease infection (p < 0.001). Additionally, NPOFWs who always showered after outdoor work had a lower risk of Lyme disease infection (p = 0.072, Table 4). Furthermore, workers who raised dogs outside homes were associated with a higher risk of Lyme disease infection (p = 0.005). However, raising dogs inside homes and cats were not associated with Lyme disease infection (Table 5).
3.4. Multivariate Analysis of Lyme Disease Infection and Associated Risk Factors
Potential factors associated with Lyme disease infection as determined by multivariate logistic regression analysis are shown in Table 6. Important variables (p < 0.10) identified by univariate analysis, that is, age, eating meals in woodland, taking a shower after outdoor work, and raising dogs outside homes, were incorporated into multivariate logistic regression analysis with backward elimination. Multivariate logistic regression analysis showed that always eating meals in woodland (OR, 5.11; 95% CI, 2.08–12.52) was significantly associated with a higher prevalence of Lyme disease infection. Furthermore, the risk of Lyme disease infection was significantly higher among NPOFWs who raised dogs outside homes (OR, 3.25; 95% CI, 1.57–6.75). However, taking a shower after outdoor work did not significantly reduce the risk of Lyme disease infection (OR, 0.60; 95% CI, 0.34–1.07).
4. Discussion
This is the first study conducted to assess the status of Lyme disease infection among forestry workers using nationally representative data in South Korea. In the present analysis, we have identified risk factors associated with Lyme disease infection among NPOFWs, and completed a preliminarily published information on this study [19]. An overall seroprevalence of Lyme disease was 8.1% as determined by IFA (IgG titer ≥1:256 or IgM titer ≥1:16). The seroprevalence, based on an IFA IgG titer ≥1:256 (3.2%), was lower than those reported in Europe among forestry workers, such as in France (15.2%) [20] and Slovenia (9.8%) [21]. A seroepidemiologic study performed in China among people living in forested areas reported Lyme disease seroprevalence ranging from 2.9% to 14.9% as determined by an IFA IgG titer of ≥1:128 [22], which is similar to the seroprevalence of 6.1% (IFA IgG titer ≥1:128) found in this study.
Participants who always ate meals in woodland during outdoor work had a higher odds ratio for seropositivity. Woodland areas with long grass and scrubs are preferred tick habitats, and ticks tend to be plentiful in these areas [23]. A Belgian study among forestry workers reported that the number of tick bites and the use of personal protective measures impacted the seroprevalence of Lyme disease [8]. However, eating meals in woodland was not included in that Belgian study, and we are unaware of any published paper reporting that eating meals in woodland is a possible risk factor of Lyme disease infection.
NPOFWs who raised dogs outside homes were found to be at higher risk of Lyme disease infection, whereas raising dogs inside homes was not associated with the presence of infection. In a previous study on tick exposure risk factors, the presence of indoor/outdoor pets was positively associated with the presence of ticks [14]. Another Chinese study reported that pets in households were not significantly associated with the seroprevalence of Lyme disease [24]. Thus, it appears that dogs kept outside homes can harbor ticks infected with B. burgdorferi and transfer these ticks to their owners. Lyme disease seroprevalence among dogs and cats may be a sentinel marker of human Lyme disease infection because they share the environment with their owners [25,26]. Furthermore, B. burgdorferi infection in dogs has been consistently reported in many countries including South Korea [11,25]. Therefore, we presume that our study participants who were engaged in eating meals in woodland and raising dogs outside homes might have been exposed to tick bites that resulted in the seropositive test results.
Regarding work hygiene-related factors, we found that a higher percentage of participants that always showered after outdoor work were seronegative, though this association did not reach statistical significance in the multivariate analysis. Several previous studies [5,7] have reported reduced risks of Lyme disease among those who use protective measures, such as protective clothing or repellents, and among those that check for ticks during outdoor activities or shower regularly after outdoor work, which would presumably remove any ticks [14]. In this study, the proportions of NPOFWs always using insect repellents (7.4%), using a mat to rest (8.5%), and checking tick bites after outdoor work (15.4%) were relatively low, and the proportion of recognition of Lyme disease was also low (16.8%). Thus, health education about Lyme disease and personal protection to prevent tick bites needs to be strengthened.
The present study has several limitations that warrant consideration. First, seroprevalence may have been influenced by seasonality since our study was performed in the winter (December) to maximize NPOFW participation, when ticks are least active. Second, NPOFWs on Jeju Island (South Korea) were not included. Third, we could not investigate the Lyme disease infection statuses of dogs raised outside homes. Fourth, seropositive test results might not necessarily be equivalent to infection, but rather may simply be evidence of past exposure. However, this is one of the important studies being conducted with a large sample and our findings can have policy implications in South Korea and other similar settings elsewhere.
5. Conclusions
The overall seroprevalence of Lyme disease among NPOFWs in South Korea was found to be 8.1%. Eating meals in woodland and raising dogs outside homes were associated with higher risks of Lyme disease infection. These modifiable risk factors should be considered when designing preventive strategies aimed at reducing Lyme disease infection. Further comparative seroepidemiological and longitudinal studies are required among different populations at risk of Lyme disease infection.
Author Contributions
Conceptualization, J.-H.P.; methodology, J.-H.P. and D.A.; software, J.-H.P.; validation, J.-H.P.; formal analysis, J.-H.P.; investigation, J.-H.P.; resources, J.-H.P.; data curation, J.-H.P.; writing—original draft preparation, D.A. and J.-H.P.; writing—review and editing, D.A. and J.-H.P.; supervision, J.-H.P.; project administration, J.-H.P.; funding acquisition, J.-H.P. Both authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by a grant from the Korea Centers for Disease Control and Prevention (grant number: 2016ER520100).
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of Dongguk University Gyeongju Hospital (approval number: 16-286).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Acknowledgments
We would like to highly acknowledge the contributions in conducting this study to Kang Mo Lee, Yoontae Noh, Yeong Seon Lee, Su Yeon Kim. We dedicate this study to late Hyun-Sul Lim who substantially contributed to its design and execution.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Stanek, G.; Wormser, G.P.; Gray, J.; Strle, F. Lyme borreliosis. Lancet 2012, 379, 461–473. [Google Scholar] [CrossRef]
- Wright, W.F.; Riedel, D.J.; Talwani, R.; Gilliam, B.L. Diagnosis and management of Lyme disease. Am. Fam. Physician 2012, 85, 1086–1089. [Google Scholar] [PubMed]
- Van den Wijngaard, C.C.; Hofhuis, A.; Wong, A.; Harms, M.G.; de Wit, G.A.; Lugnér, A.K.; Lugnér, A.K.; Suijkerbuijk, A.W.M.; Mangen, M.J.J.; van Pelt, W. The cost of Lyme borreliosis. Eur. J. Public Health 2017, 2, 538–547. [Google Scholar] [CrossRef] [PubMed]
- Chomel, B. Lyme disease. Rev. Sci. Tech. Off. Int. Epiz. 2015, 34, 569–576. [Google Scholar] [CrossRef] [PubMed]
- Smith, G.; Wileyto, E.P.; Hopkins, R.B.; Cherry, B.R.; Maher, J.P. Risk factors for Lyme disease in Chester County, Pennsylvania. Public Health Rep. 2001, 116, 146–156. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Orloski, K.A.; Campbell, G.L.; Genese, C.A.; Beckley, J.W.; Schriefer, M.E.; Spitalny, K.C.; Dennis, D.T. Emergence of Lyme disease in Hunterdon County, New Jersey, 1993: A case-control study of risk factors and evaluation of reporting patterns. Am. J. Epidemiol. 1998, 147, 391–397. [Google Scholar] [CrossRef] [Green Version]
- Finch, C.; Al-Damluji, M.S.; Krause, P.J.; Niccolai, L.; Steeves, T.; O’Keefe, C.F.; Diuk-Wasser, M.A. Integrated assessment of behavioral and environmental risk factors for Lyme disease infection on Block Island, Rhode Island. PLoS ONE 2014, 9, e84758. [Google Scholar] [CrossRef] [PubMed]
- De Keukeleire, M.; Robert, A.; Luyasu, V.; Kabamba, B.; Vanwambeke, S.O. Seroprevalence of Borrelia burgdorferi in Belgian forestry workers and associated risk factors. Parasit. Vectors 2018, 11, 277. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Brei, B.; Brownstein, J.S.; George, J.E.; Pound, J.M.; Miller, J.A.; Daniels, T.J.; Falco, R.C.; Stafford, K.C.; Schulze, T.L.; Mather, T.N.; et al. Evaluation of the United States Department of Agriculture Northeast Area-wide Tick Control Project by meta-analysis. Vector. Borne. Zoonotic. Dis. 2009, 9, 423–430. [Google Scholar] [CrossRef] [Green Version]
- Korea Disease Control and Prevention Agency. Infectious Disease Portal. Available online: http://www.kdca.go.kr/npt/biz/npp/ist/bass/bassDissStatsMain.do (accessed on 30 November 2020). (In Korean).
- Bell, D.R.; Berghaus, R.D.; Patel, S.; Beavers, S.; Fernandez, I.; Sanchez, S. Seroprevalence of tick-borne infections in military working dogs in the Republic of Korea. Vector. Borne. Zoonotic. Dis. 2012, 12, 1023–1030. [Google Scholar] [CrossRef] [PubMed]
- Lee, S.H.; Yun, S.H.; Choi, E.; Park, Y.S.; Lee, S.E.; Cho, G.J.; Kwon, O.D.; Kwak, D. Serological detection of Borrelia Burgdorferi among horses in Korea. Korean J. Parasitol. 2016, 54, 97–101. [Google Scholar] [CrossRef] [PubMed]
- Jovanovic, D.; Atanasievska, S.; Protic-Djokic, V.; Rakic, U.; Lukac-Radoncic, E.; Ristanovic, E. Seroprevalence of Borrelia burgdorferi in occupationally exposed persons in the Belgrade area, Serbia. Braz. J. Microbiol. 2015, 46, 807–814. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Mead, P.; Hook, S.; Niesobecki, S.; Ray, J.; Meek, J.; Delorey, M.; Prue, C.; Hinckley, A. Risk factors for tick exposure in suburban settings in the Northeastern United States. Ticks Tick. Borne. Dis. 2018, 9, 319–324. [Google Scholar] [CrossRef] [PubMed]
- Moon, S.; Hong, Y.; Hwang, K.J.; Kim, S.; Eom, J.; Kwon, D.; Park, J.H.; Youn, S.K.; Sohn, A. Epidemiological features and clinical manifestations of Lyme borreliosis in Korea during the period 2005–2012. Jpn. J. Infect. Dis. 2015, 68, 1–4. [Google Scholar] [CrossRef] [Green Version]
- Im, J.H.; Baek, J.; Durey, A.; Kwon, H.Y.; Chung, M.H.; Lee, J.S. Current status of tick-borne diseases in South Korea. Vector. Borne. Zoonotic. Dis. 2019, 19, 225–233. [Google Scholar] [CrossRef]
- Korea National Park Service. National Parks: About the Korea National Park Service. Available online: http://english.knps.or.kr/AboutUs/NationalParks/Default.aspx?MenuNum=6&Submenu=NationalParks.html (accessed on 23 July 2020).
- Park, S.H.; Hwang, K.J.; Chu, H.; Park, M.Y. Serologic detection of Lyme borreliosis agents in patients from Korea, 2005–2009. Osong Public Health Res. Perspect. 2011, 2, 29–33. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Lee, K.M.; Noh, Y.T.; Park, J.H.; Lee, Y.S.; Lim, H.S.; Kim, S.Y. Serologic study on lyme disease in national park workers in South Korea (poster presentations). Int. J. Antimicrob. Agents 2017, 50, S152. [Google Scholar]
- Zhioua, E.; Rodhain, F.; Binet, P.; Perez-Eid, C. Prevalence of antibodies to Borrelia burgdorferi in forestry workers of Ile de France, France. Eur. J. Epidemiol. 1997, 13, 959–962. [Google Scholar] [CrossRef]
- Rojko, T.; Ruzić-Sabljić, E.; Strle, F.; Lotric-Furlan, S. Prevalence and incidence of Lyme borreliosis among Slovene forestry workers during the period of tick activity. Wien. Klin. Wochenschr. 2005, 117, 219–225. [Google Scholar] [CrossRef]
- Hao, Q.; Geng, Z.; Hou, X.X.; Tian, Z.; Yang, X.J.; Jiang, W.J.; Shi, Y.; Zhan, Z.F.; Li, G.H.; Yu, D.S.; et al. Seroepidemiological investigation of Lyme disease and human granulocytic anaplasmosis among people living in forest areas of eight provinces in China. Biomed. Environ. Sci. 2013, 26, 185–189. [Google Scholar]
- Barandika, J.F.; Berriatua, E.; Barral, M.; Juste, R.A.; Anda, P.; García-Pérez, A.L. Risk factors associated with ixodid tick species distributions in the Basque region in Spain. Med. Vet. Entomol. 2006, 20, 177–188. [Google Scholar] [CrossRef] [PubMed]
- Dou, X.F.; Lyu, Y.N.; Jiang, Y.; Lin, C.Y.; Tian, L.L.; Wang, Q.Y.; Yang, Y.S.; Li, C.; Sun, Y.L.; Guan, Z.Z.; et al. Lyme borreliosis-associated risk factors in residents of Beijing suburbs: A preliminary case-control study. Biomed. Environ. Sci. 2014, 27, 807–810. [Google Scholar] [PubMed]
- Smith, F.D.; Ballantyne, R.; Morgan, E.R.; Wall, R. Estimating Lyme disease risk using pet dogs as sentinels. Comp. Immunol. Microbiol. Infect. Dis. 2012, 35, 163–167. [Google Scholar] [CrossRef] [PubMed]
- Watson, S.C.; Liu, Y.; Lund, R.B.; Gettings, J.R.; Nordone, S.K.; McMahan, C.S.; Yabsley, M.J. A Bayesian spatio-temporal model for forecasting the prevalence of antibodies to Borrelia burgdorferi, causative agent of Lyme disease, in domestic dogs within the contiguous United States. PLoS ONE 2017, 12, e0174428. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Table 1.
Serologic results for Borrelia burgdorferi antigen among National Park Office forestry workers in South Korea.
Table 1.
Serologic results for Borrelia burgdorferi antigen among National Park Office forestry workers in South Korea.
| Titer | IgG | IgM | ||
|---|---|---|---|---|
| No. | % | No. | % | |
| <1:16 | 196 | 29.9 | 621 | 94.8 |
| 1:16 | 215 | 32.8 | 25 | 3.8 |
| 1:32 | 136 | 20.8 | 9 | 1.4 |
| 1:64 | 68 | 10.4 | 0 | 0.0 |
| 1:128 | 19 | 2.9 | 0 | 0.0 |
| ≥1:256 | 21 | 3.2 | 0 | 0.0 |
| Total | 655 | 100.0 | 655 | 100.0 |
Table 2.
Univariate logistic regression analysis between demographic characteristics and Lyme disease seroprevalence among National Park Office forestry workers in South Korea.
Table 2.
Univariate logistic regression analysis between demographic characteristics and Lyme disease seroprevalence among National Park Office forestry workers in South Korea.
| Variables | Total | Seroprevalence No. (%) | OR (95% CI) | p-Value |
|---|---|---|---|---|
| Sex | ||||
| Men | 502 | 39 (7.8) | 0.84 (0.44–1.59) | 0.584 |
| Women | 153 | 14 (9.2) | Reference | |
| Age (years) | ||||
| <29 | 76 | 8 (10.5) | Reference | |
| 30–49 | 350 | 34 (9.7) | 0.91 (0.41–2.06) | 0.830 |
| ≥50 | 229 | 11 (4.8) | 0.43 (0.17–1.11) | 0.081 |
| Duration of work (years) | ||||
| <5 | 232 | 16 (6.9) | Reference | |
| 5–<15 | 288 | 28 (9.7) | 1.45 (0.77–2.76) | 0.252 |
| ≥15 | 135 | 9 (6.7) | 0.96 (0.41–2.25) | 0.933 |
| Region | ||||
| Northern | 134 | 9 (6.7) | Reference | |
| Central | 260 | 17 (6.5) | 0.97 (0.42–2.24) | 0.946 |
| Southern | 261 | 27 (10.3) | 1.60 (0.73–3.51) | 0.239 |
| Organization types | ||||
| Main offices | 417 | 33 (7.9) | Reference | |
| Branch offices | 238 | 20 (8.4) | 1.07 (0.60–1.91) | 0.825 |
| Education | ||||
| High school or less | 225 | 18 (8.0) | 0.98 (0.54–1.77) | 0.944 |
| University or more | 429 | 35 (8.2) | Reference |
OR, odds ratio; CI, confidence interval.
Table 3.
Univariate logistic regression analysis between work type and Lyme disease seroprevalence among National Park Office forestry workers in South Korea.
Table 3.
Univariate logistic regression analysis between work type and Lyme disease seroprevalence among National Park Office forestry workers in South Korea.
| Variables | Total | Seroprevalence No. (%) | OR (95% CI) | p-Value |
|---|---|---|---|---|
| Monitoring of natural resources | ||||
| Yes | 270 | 20 (7.4) | 0.85 (0.48–1.52) | 0.584 |
| No | 384 | 33 (8.6) | Reference | |
| Repairing facilities | ||||
| Yes | 431 | 38 (8.8) | 1.34 (0.72–2.49) | 0.355 |
| No | 223 | 15 (6.7) | Reference | |
| Supervision of illegal activities | ||||
| Yes | 392 | 33 (8.4) | 1.11 (0.62–1.98) | 0.719 |
| No | 262 | 20 (7.6) | Reference | |
| Patrolling | ||||
| Yes | 543 | 45 (8.3) | 1.16 (0.53–2.54) | 0.704 |
| No | 111 | 8 (7.2) | Reference | |
| Guiding visitors | ||||
| Yes | 407 | 35 (8.6) | 1.20 (0.67–2.17) | 0.542 |
| No | 248 | 18 (7.3) | Reference | |
| Exploration program | ||||
| Yes | 152 | 16 (10.5) | 1.48 (0.80–2.75) | 0.211 |
| No | 503 | 37 (7.4) | Reference | |
| Grass mowing | ||||
| Yes | 295 | 25 (8.5) | 1.09 (0.62–1.92) | 0.753 |
| No | 359 | 28 (7.8) | Reference | |
| Cleaning | ||||
| Yes | 334 | 26 (7.8) | 0.92 (0.52–1.61) | 0.760 |
| No | 320 | 27 (8.4) | Reference |
OR, odds ratio; CI, confidence interval.
Table 4.
Univariate logistic regression analysis between work hygiene-related factors and Lyme disease seroprevalence among National Park Office forestry workers in South Korea.
Table 4.
Univariate logistic regression analysis between work hygiene-related factors and Lyme disease seroprevalence among National Park Office forestry workers in South Korea.
| Variables | Total | Seroprevalence No. (%) | OR (95% CI) | p-Value |
|---|---|---|---|---|
| During outdoor work | ||||
| Wearing a long-sleeved shirt | ||||
| Always | 210 | 17 (8.1) | 1.03 (0.56–1.88) | 0.925 |
| Others | 444 | 35 (7.9) | Reference | |
| Wearing long pants | ||||
| Always | 448 | 33 (7.4) | 0.74 (0.42–1.33) | 0.318 |
| Others | 207 | 20 (9.7) | Reference | |
| Wearing gloves | ||||
| Always | 297 | 28 (9.4) | 1.38 (0.79–2.43) | 0.260 |
| Others | 357 | 25 (7.0) | Reference | |
| Wearing boots | ||||
| Always | 327 | 31 (9.5) | 1.45 (0.82–2.57) | 0.199 |
| Others | 327 | 22 (6.7) | Reference | |
| Wearing a hat | ||||
| Always | 258 | 23 (8.9) | 1.19 (0.68–2.11) | 0.540 |
| Others | 396 | 30 (7.6) | Reference | |
| Using insect repellents | ||||
| Always | 26 | 4 (15.4) | 2.14 (0.71–6.46) | 0.177 |
| Others | 626 | 49 (7.8) | Reference | |
| Resting on the grass | ||||
| Always | 14 | 2 (14.3) | 1.93 (0.42–8.85) | 0.398 |
| Others | 641 | 51 (8.0) | Reference | |
| Using a mat to rest | ||||
| Always | 62 | 4 (6.5) | 0.76 (0.27–2.19) | 0.617 |
| Others | 592 | 49 (8.3) | Reference | |
| Eating meals in woodland | ||||
| Always | 29 | 8 (27.6) | 4.91 (2.06–11.71) | <0.001 |
| Others | 625 | 45 (7.2) | Reference | |
| Defecating/urinating in woodland | ||||
| Always | 8 | 2 (25.0) | 3.90 (0.77–19.80) | 0.101 |
| Others | 647 | 51 (7.9) | Reference | |
| After outdoor work | ||||
| Taking a shower | ||||
| Always | 386 | 25 (6.5) | 0.60 (0.34–1.05) | 0.072 |
| Others | 269 | 28 (10.4) | Reference | |
| Taking a bath | ||||
| Always | 168 | 14 (8.3) | 1.04 (0.55–1.97) | 0.899 |
| Others | 486 | 39 (8.0) | Reference | |
| Changing working clothes daily | ||||
| Always | 231 | 18 (7.8) | 0.94 (0.52–1.70) | 0.836 |
| Others | 424 | 35 (8.3) | Reference | |
| Washing working clothes daily | ||||
| Always | 229 | 16 (7.0) | 0.79 (0.43–1.45) | 0.448 |
| Others | 426 | 37 (8.7) | Reference | |
| Checking tick bites | ||||
| Always | 102 | 9 (8.8) | 1.12 (0.53–2.37) | 0.772 |
| Others | 552 | 44 (8.0) | Reference |
OR, odds ratio; CI, confidence interval.
Table 5.
Univariate logistic regression analysis between other work-related factors and Lyme disease seroprevalence among National Park Office forestry workers in South Korea.
Table 5.
Univariate logistic regression analysis between other work-related factors and Lyme disease seroprevalence among National Park Office forestry workers in South Korea.
| Variables | Total | Seroprevalence No. (%) | OR (95% CI) | p-Value |
|---|---|---|---|---|
| Additional jobs | ||||
| Rice farming | ||||
| Yes | 21 | 3 (14.3) | 1.95 (0.55–6.83) | 0.299 |
| No | 634 | 50 (7.9) | Reference | |
| Dry field farming | ||||
| Yes | 93 | 8 (8.6) | 1.08 (0.49–2.37) | 0.845 |
| No | 562 | 45 (8.0) | Reference | |
| Orchard farming | ||||
| Yes | 26 | 3 (11.5) | 1.51 (0.44–5.21) | 0.514 |
| No | 629 | 50 (7.9) | Reference | |
| Livestock farming | ||||
| Yes | 13 | 1 (7.7) | 0.95 (0.12–7.42) | 0.957 |
| No | 642 | 52 (8.1) | Reference | |
| Raising animals | ||||
| Dogs (outside homes) | ||||
| Yes | 70 | 12 (17.1) | 2.75 (1.37–5.52) | 0.005 |
| No | 585 | 41 (7.0) | Reference | |
| Dogs (inside homes) | ||||
| Yes | 52 | 5 (9.6) | 1.23 (0.47–3.24) | 0.675 |
| No | 603 | 48 (8.0) | Reference | |
| Cats | ||||
| Yes | 28 | 2 (7.1) | 0.87 (0.20–3.77) | 0.851 |
| No | 627 | 51 (8.1) | Reference | |
| Recognition of Lyme disease | ||||
| Yes | 110 | 10 (9.1) | 1.17 (0.57–2.40) | 0.674 |
| No | 545 | 43 (7.9) | Reference | |
| Recognition of tick bites | ||||
| Yes | 75 | 8 (10.7) | 1.42 (0.64–3.13) | 0.390 |
| No | 579 | 45 (7.8) | Reference |
OR, odds ratio; CI, confidence interval.
Table 6.
Multivariate logistic regression analysis of important variables (p < 0.10) associated with Lyme disease seroprevalence among National Park Office forestry workers in South Korea.
Table 6.
Multivariate logistic regression analysis of important variables (p < 0.10) associated with Lyme disease seroprevalence among National Park Office forestry workers in South Korea.
| Variables | OR (95% CI) | p-Value |
|---|---|---|
| Age (years) | ||
| <29 | Reference | |
| 30–49 | 0.98 (0.42–2.30) | 0.971 |
| ≥50 | 0.41 (0.15–1.10) | 0.078 |
| Eating meals in woodland during outdoor work | ||
| Always | 5.11 (2.08–12.52) | <0.001 |
| Others | Reference | |
| Taking a shower after outdoor work | ||
| Always | 0.60 (0.34–1.07) | 0.086 |
| Others | Reference | |
| Raising dogs (outside homes) | ||
| Yes | 3.25 (1.57–6.75) | 0.002 |
| No | Reference |
OR, odds ratio; CI, confidence interval.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
MDPI and ACS Style
Acharya, D.; Park, J.-H. Seroepidemiologic Survey of Lyme Disease among Forestry Workers in National Park Offices in South Korea. Int. J. Environ. Res. Public Health 2021, 18, 2933. https://doi.org/10.3390/ijerph18062933
AMA Style
Acharya D, Park J-H. Seroepidemiologic Survey of Lyme Disease among Forestry Workers in National Park Offices in South Korea. International Journal of Environmental Research and Public Health. 2021; 18(6):2933. https://doi.org/10.3390/ijerph18062933
Chicago/Turabian StyleAcharya, Dilaram, and Ji-Hyuk Park. 2021. "Seroepidemiologic Survey of Lyme Disease among Forestry Workers in National Park Offices in South Korea" International Journal of Environmental Research and Public Health 18, no. 6: 2933. https://doi.org/10.3390/ijerph18062933
APA StyleAcharya, D., & Park, J. -H. (2021). Seroepidemiologic Survey of Lyme Disease among Forestry Workers in National Park Offices in South Korea. International Journal of Environmental Research and Public Health, 18(6), 2933. https://doi.org/10.3390/ijerph18062933
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
