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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">KJIM</journal-id>
<journal-title-group>
<journal-title>The Korean Journal of Internal Medicine</journal-title><abbrev-journal-title>Korean J Intern Med</abbrev-journal-title></journal-title-group>
<issn pub-type="ppub">1226-3303</issn>
<issn pub-type="epub">2005-6648</issn>
<publisher>
<publisher-name>The Korean Association of Internal Medicine</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3904/kjim.2019.234</article-id>
<article-id pub-id-type="publisher-id">kjim-2019-234</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
<subj-group subj-group-type="heading">
<subject>Gastroenterology</subject>
</subj-group></subj-group></article-categories>
<title-group>
<article-title>Environmental risk factors and comorbidities of primary biliary cholangitis in Korea: a case-control study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Kim</surname><given-names>Kyung-Ah</given-names></name>
<xref ref-type="aff" rid="af1-kjim-2019-234"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kim</surname><given-names>Young Seok</given-names></name>
<xref ref-type="aff" rid="af2-kjim-2019-234"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Park</surname><given-names>Sang Hoon</given-names></name>
<xref ref-type="aff" rid="af3-kjim-2019-234"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chung</surname><given-names>Woo Jin</given-names></name>
<xref ref-type="aff" rid="af4-kjim-2019-234"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Choi</surname><given-names>Dae Hee</given-names></name>
<xref ref-type="aff" rid="af5-kjim-2019-234"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Jang</surname><given-names>Eun Sun</given-names></name>
<xref ref-type="aff" rid="af6-kjim-2019-234"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-4916-7990</contrib-id>
<name><surname>Jeong</surname><given-names>Sook-Hyang</given-names></name>
<xref ref-type="corresp" rid="c1-kjim-2019-234"/>
<xref ref-type="aff" rid="af6-kjim-2019-234"><sup>6</sup></xref>
</contrib>
<aff id="af1-kjim-2019-234">
<label>1</label>Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, <country>Korea</country></aff>
<aff id="af2-kjim-2019-234">
<label>2</label>Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, <country>Korea</country></aff>
<aff id="af3-kjim-2019-234">
<label>3</label>Division of Gastroenterology and Hepatology, Hallym University Kangnam Sacred Heart Hospital, Seoul, <country>Korea</country></aff>
<aff id="af4-kjim-2019-234">
<label>4</label>Department of Internal Medicine, Keimyung University School of Medicine, Daegu, <country>Korea</country></aff>
<aff id="af5-kjim-2019-234">
<label>5</label>Department of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, <country>Korea</country></aff>
<aff id="af6-kjim-2019-234">
<label>6</label>Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, <country>Korea</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1-kjim-2019-234">Correspondence to Sook-Hyang Jeong, M.D. Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam 13620, Korea Tel: +82-31-787-7034 Fax: +82-31-787-4052 E-mail: <email>jsh@snubh.org</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>3</month>
<year>2021</year></pub-date>
<pub-date pub-type="epub">
<day>26</day>
<month>3</month>
<year>2020</year></pub-date>
<volume>36</volume>
<issue>2</issue>
<fpage>313</fpage>
<lpage>321</lpage>
<history>
<date date-type="received">
<day>19</day>
<month>7</month>
<year>2019</year></date>
<date date-type="rev-recd">
<day>28</day>
<month>8</month>
<year>2019</year></date>
<date date-type="accepted">
<day>5</day>
<month>9</month>
<year>2019</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 The Korean Association of Internal Medicine</copyright-statement>
<copyright-year>2021</copyright-year>
<license>
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions>
<abstract>
<sec><title>Background/Aims</title>
<p>The risk factors for the development of primary biliary cholangitis (PBC) is unclear. This study aimed to investigate the risk factors associated with PBC in Korea through a questionnaire survey.</p></sec>
<sec><title>Methods</title>
<p>Consecutively enrolled 103 PBC patients from six referral hospitals and 100 age- and sex-matched community controls participated in this study. A standardized questionnaire survey including demographics, lifestyle, individual and familial medical history and reproductive history was prospectively collected and analyzed.</p></sec>
<sec><title>Results</title>
<p>The PBC patients had a mean age of 58.3 years and a female proportion of 86.4%. The age- and sex-matched controls had a similar educational level and economic status to the PBC patients. Among the lifestyle factors, the multivariable analysis showed smoking including both first-hand and second-hand (odds ratio [OR], 2.03; 95% confidence interval [CI], 1.06 to 3.93), history of autoimmune diseases (OR, 2.46; 95% CI, 1.06 to 6.35), and family history of PBC (OR, 17.76; 95% CI, 1.77 to 2,418.74) were significantly associated with PBC, whereas alcohol intake was negatively associated with PBC. Among reproductive factors, the number of induced abortions was significantly associated with PBC, while the number of full-term deliveries was negatively associated with PBC.</p></sec>
<sec><title>Conclusions</title>
<p>A family history of PBC, accompanying autoimmune diseases, and smoking were significantly associated with PBC. More induced abortions and less full-term deliveries were associated with PBC in women. In contrast, mild to moderate alcohol intake was negatively associated with PBC. Further studies are warranted to validate the results of this study and to search for clues about the pathogenesis of PBC.</p></sec>
</abstract>
<kwd-group>
<kwd>Liver cirrhosis, biliary</kwd>
<kwd>Risk factors</kwd>
<kwd>Smoking</kwd>
<kwd>Ethanol</kwd>
<kwd>Abortion, induced</kwd>
</kwd-group>
</article-meta></front>
<body>
<sec sec-type="intro">
<title>INTRODUCTION</title>
<p>Primary biliary cholangitis (PBC) is a rare, chronic inflammatory autoimmune disease that mainly affects middle-aged women &#x0005b;<xref ref-type="bibr" rid="b1-kjim-2019-234">1</xref>&#x0005d;. It is characterized by non-suppurative inflammation and destruction of the interlobular bile ducts leading to cholestasis and cirrhosis and the presence of the anti-mitochondrial antibody (AMA) in serum &#x0005b;<xref ref-type="bibr" rid="b1-kjim-2019-234">1</xref>&#x0005d;.</p>
<p>The prevalence of PBC varies widely depending on the geographic location, ranging from 1.91 to 40.2 per 100,000 inhabitants &#x0005b;<xref ref-type="bibr" rid="b2-kjim-2019-234">2</xref>&#x0005d;, which suggests certain genetic and environmental factors influence the pathogenesis of PBC. Though the pathogenesis of PBC still remains enigmatic, an organ-specific autoimmune reaction triggered by exposure to putative environmental factors in genetically susceptible individuals is a convincing explanation &#x0005b;<xref ref-type="bibr" rid="b3-kjim-2019-234">3</xref>&#x0005d;.</p>
<p>Previous studies regarding the environmental risk factors of PBC have been conducted mostly in Western countries with a relatively high prevalence of PBC. Those studies reported that smoking &#x0005b;<xref ref-type="bibr" rid="b4-kjim-2019-234">4</xref>-<xref ref-type="bibr" rid="b7-kjim-2019-234">7</xref>&#x0005d; and recurrent urinary tract infection (UTI) were frequently associated with PBC. However, the extent of exposure to environmental factors such as smoking, alcohol drinking, use of cosmetics, or contraceptive measures is variable depending on the countries and regions with different epidemiologies and life styles. In this case-control study, we investigated the environmental risk factors and comorbidities associated with PBC in South Korea.</p>
</sec>
<sec sec-type="methods">
<title>METHODS</title>
<sec>
<title>Study population</title>
<p>One hundred-three patients with PBC from six referral centers in South Korea were prospectively enrolled from August 2014 to March 2015. The diagnostic criteria for PBC were at least two of the following findings present in the patients; chronic cholestasis, presence of AMA and liver histology compatible with PBC. The Institutional Review Board (IRB) approved this study (Ilsan Paik Hospital IRB number 2014-08-233) and written informed consent was received from all participants. The patients diagnosed as autoimmune hepatitis-PBC overlap syndrome were excluded.</p>
<p>As a control group, 100 individuals matched to the PBC cases according to a stratified sampling based on age (10-year age groups) and gender were recruited from the commercialized Macromill Embrain research panel (Macromill Embrain, Seoul, Korea; www.embrain.com), which consists of 1,088,408 individuals representative of the Korean national population. The participants were enrolled on a voluntary basis. The survey was conducted anonymously between August 25 and September 26, 2014.</p>
</sec>
<sec>
<title>Questionnaire survey</title>
<p>A standardized questionnaire survey was administered that included 137 questions regarding demographic, anthropometric, life style, medical and familial factors, reproductive (only for female) and socioeconomic factors. Demographics included education and subjective socioeconomic class. Lifestyle factors included first- and second-hand smoke, alcohol consumption (drinks per day, frequency and duration), coffee consumption, and use of cosmetics and hair dye. Medical history included autoimmune diseases such as autoimmune hepatitis, thyroid illness, rheumatoid arthritis, systemic lupus erythematosus, systemic sclerosis, Sjogren&#x02019;s disease, and inflammatory bowel diseases, infectious disease such as tuberculosis, clonorchiasis and measles, operations and vaccinations. Reproductive factors included age of menarche and menopause, oral contraceptives, hormone replacement therapy, induced abortion, miscarriage, full-term delivery, and breast feeding. The details of the questionnaire (in Korean) is presented in the <xref ref-type="supplementary-material" rid="SD1-kjim-2019-234">Supplementary Material</xref>.</p>
<p>PBC patients were interviewed face-to-face by a research coordinator or attending physician at each of the centers. Controls were interviewed face-to-face by trained persons hired by Macromill Embrain.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Continuous variables were expressed as the median (interquartile range) or mean &#x000b1; SD as appropriate. Categorical variables are presented in absolute and percentage values (%). Continuous variables were compared using the Student&#x02019;s <italic>t</italic> test, or Mann-Whitney <italic>U</italic> test as appropriate, and categorical variables were compared using the chi-square test or Fisher&#x02019;s exact test. Multivariable logistic regression analyses with the Firth method for rare events were performed for variables with a <italic>p</italic> &lt; 0.1 in the univariable analysis and for clinically relevant variables with <italic>p</italic> &gt; 0.1, but which were consistently reported as significant variables in other studies (i.e., smoking and UTI) to identify the risk factors of PBC for all subjects and a female subgroup, respectively. A <italic>p</italic> &lt; 0.05 was considered statistically significant. All statistical analyses were performed with SPSS version 25 (IBM Co., Armonk, NY, USA).</p>
</sec>
</sec>
<sec sec-type="results">
<title>RESULTS</title>
<sec>
<title>Comparison of the demographic, socioeconomic, lifestyle factors, and medical history between the PBC patients and control group</title>
<p>The mean age of the case and control group was 58.6 &#x000b1; 11.4 and 56.8 &#x000b1; 10.8 years, respectively. The female proportion of the case and control group was 86.4% and 85%, respectively. Educational level and economic status were similar between the two groups (<xref rid="t1-kjim-2019-234" ref-type="table">Table 1</xref>).</p>
<p>The proportions of ever-smokers including current and ex-smoker (15.5% vs. 11.0%) were low in both groups and not statistically different between the PBC and controls groups (<xref rid="t2-kjim-2019-234" ref-type="table">Table 2</xref>). Although the proportions of those who have experienced first-hand and/or second-hand smoking tended to be higher in the PBC patients (49.5%) than in the control (42.0%) group, it was not significantly different (<italic>p</italic> &#x0003d; 0.16). The proportions of ever-drinkers and persons who have had more than seven drinks per week were significantly lower in the PBC groups than in the controls (<italic>p</italic> &lt; 0.01). Coffee drinking and exposure to nail polish, cosmetics and hair dye were not significantly different between the two groups. The prevalence of PBC in first degree relatives was higher in the PBC cases (6.2% vs. 0%, <italic>p</italic> &#x0003d; 0.02). The prevalence of other autoimmune diseases in first degree relatives did not differ between the relatives of the PBCs cases and those of the control group (<xref rid="t3-kjim-2019-234" ref-type="table">Table 3</xref>).</p>
<p>History of any autoimmune diseases including autoimmune thyroiditis, Sjogren&#x02019;s disease, autoimmune hepatitis, systemic sclerosis and others was more frequent in the PBC cases than in the control group (26.2% vs. 9.1%, <italic>p</italic> &lt; 0.01). Among the autoimmune diseases, autoimmune thyroiditis (18.5% vs. 7.1%) and Sjogren&#x02019;s disease (6.3% vs. 1.0%) were significantly more prevalent in the PBC cases. Diabetes seemed to be more frequent in the PBC cases than in the controls (15.5% vs. 7.2%, <italic>p</italic> &#x0003d; 0.07). Medication for osteoporosis was more frequent in the PBC cases than in the controls. However, history of UTI as a possible risk factor of PBC in previous studies did not differ between the two groups. History of herbal medication was similarly frequent in both groups (78.6% vs. 77.8%) (<xref rid="t3-kjim-2019-234" ref-type="table">Table 3</xref>). The frequencies for a positive history of all types of malignancies, acute hepatitis, tuberculosis, clonorchiasis, appendectomy, cholecystectomy, tonsillectomy, and vaccination for hepatitis and tuberculosis were not different between the two groups.</p>
</sec>
<sec>
<title>Comparison of the reproductive and gynecological factors between the PBC patients and the control group among women</title>
<p>Age at menarche and menopause was similar between both groups. The PBC patients (74.2%) had a similar frequency in menopause state as the control group (62.5%). Experience with both pregnancy (91% vs. 100%, <italic>p</italic> &lt; 0.05) and full-term delivery (91% vs. 100%, <italic>p</italic> &lt; 0.05) was less frequent in the PBC cases than in the controls. Moreover, the total number of full-term deliveries was lower in the PBC cases than in the controls (2.1 &#x000b1; 1.2 vs. 2.5 &#x000b1; 0.9, <italic>p</italic> &lt; 0.05). Experience of receiving an induced abortion tended to be higher in the PBC groups than in the controls (51.1% vs. 37.7%, <italic>p</italic> &#x0003d; 0.07), and number of abortions was significantly higher in the PBC groups (1.2 &#x000b1; 2.1 vs. 0.5 &#x000b1; 0.7, <italic>p</italic> &lt; 0.05). However, spontaneous abortions were not significantly different between the two groups. The frequencies of hormonal replacement therapy for postmenopausal syndrome and past use of oral contraceptives were similar between the two groups (<xref rid="t4-kjim-2019-234" ref-type="table">Table 4</xref>). Pruritus and abnormal liver biochemistry during pregnancy were not different between the two groups, either.</p>
</sec>
<sec>
<title>Multivariable analysis of the risk factors for PBC</title>
<p>Results of the univariable and multivariable analyses among the whole subjects are shown in <xref rid="t5-kjim-2019-234" ref-type="table">Table 5</xref>. In multivariable analysis, family history of PBC, history of other autoimmune diseases, and smoking including first- and second-hand were significantly associated with PBC, but alcohol drinking was negatively associated with PBC.</p>
<p>As a subgroup analysis including only women, the multivariable analysis showed that the presence of family history of PBC, history of other autoimmune diseases, and induced abortions were significantly associated with PBC, but alcohol dinking less than seven drinks per week and number of full-term deliveries were negatively associated with PBC (<xref rid="t6-kjim-2019-234" ref-type="table">Table 6</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion">
<title>DISCUSSION</title>
<p>In this age-and sex-matched case-control study using a face-to-face questionnaire interview, family history of PBC, history of autoimmune diseases, smoking including both first-hand and second-hand, and induced abortions in women were significant risk factors, but alcohol drinking and full-term delivery in women were protective for PBC in South Korea, where the prevalence of PBC is low as 4.75 per 100,000 inhabitants &#x0005b;<xref ref-type="bibr" rid="b8-kjim-2019-234">8</xref>&#x0005d;.</p>
<p>The pathogenesis of PBC is still unknown but is thought to be triggered by certain environmental factors which drive the loss of tolerance to mitochondrial antigens of small bile ducts in genetically susceptible hosts. The role of genetic factors in the pathogenesis of PBC is suggested by monozygotic twin concordance &#x0005b;<xref ref-type="bibr" rid="b9-kjim-2019-234">9</xref>&#x0005d;, a higher prevalence of PBC and other autoimmune diseases in first degree relatives &#x0005b;<xref ref-type="bibr" rid="b10-kjim-2019-234">10</xref>&#x0005d;, and genetic studies on major histocompatibility &#x0005b;<xref ref-type="bibr" rid="b11-kjim-2019-234">11</xref>&#x0005d;. Environmental factors in the pathogenesis of PBC has been investigated mainly by case-control studies using questionnaire surveys on demographics, life style, medical history, and family history. Among these factors, smoking was consistently associated with PBC &#x0005b;<xref ref-type="bibr" rid="b4-kjim-2019-234">4</xref>-<xref ref-type="bibr" rid="b7-kjim-2019-234">7</xref>&#x0005d; or advanced fibrosis in PBC &#x0005b;<xref ref-type="bibr" rid="b12-kjim-2019-234">12</xref>&#x0005d;. Most studies have shown that the history of recurrent UTI was positively associated with PBC &#x0005b;<xref ref-type="bibr" rid="b4-kjim-2019-234">4</xref>-<xref ref-type="bibr" rid="b7-kjim-2019-234">7</xref>&#x0005d;, while alcohol intake was negatively associated with PBC &#x0005b;<xref ref-type="bibr" rid="b6-kjim-2019-234">6</xref>,<xref ref-type="bibr" rid="b7-kjim-2019-234">7</xref>&#x0005d;. Some studies have reported with controversy that abortions &#x0005b;<xref ref-type="bibr" rid="b5-kjim-2019-234">5</xref>&#x0005d;, exogenous estrogens &#x0005b;<xref ref-type="bibr" rid="b7-kjim-2019-234">7</xref>&#x0005d;, and frequent use of nail polish &#x0005b;<xref ref-type="bibr" rid="b7-kjim-2019-234">7</xref>&#x0005d; or hair dye &#x0005b;<xref ref-type="bibr" rid="b6-kjim-2019-234">6</xref>&#x0005d; were associated with an increased risk of the disease.</p>
<p>In our study, the first-hand smoking rate was not significantly associated with PBC in this study. However, smoking including both first-hand and second-hand was significantly associated with PBC in the multivariable analysis, although this association was abolished in the multivariable analysis only for women that included gynecological and reproductive factors. The smoking rates in our study are much lower (15.5%) than those in the previous studies (45% to 53%) &#x0005b;<xref ref-type="bibr" rid="b4-kjim-2019-234">4</xref>,<xref ref-type="bibr" rid="b5-kjim-2019-234">5</xref>&#x0005d; in which smoking was a significant risk factor of PBC. Moreover, the smoking rate in Korean women is much lower than in women in other countries with a high prevalence of PBC &#x0005b;<xref ref-type="bibr" rid="b13-kjim-2019-234">13</xref>&#x0005d;. Several studies reported that cigarette smoking was not only a risk factor of PBC &#x0005b;<xref ref-type="bibr" rid="b4-kjim-2019-234">4</xref>,<xref ref-type="bibr" rid="b6-kjim-2019-234">6</xref>,<xref ref-type="bibr" rid="b7-kjim-2019-234">7</xref>,<xref ref-type="bibr" rid="b14-kjim-2019-234">14</xref>,<xref ref-type="bibr" rid="b15-kjim-2019-234">15</xref>&#x0005d;, but also a factor for advanced fibrosis in PBC in a dose-dependent manner &#x0005b;<xref ref-type="bibr" rid="b13-kjim-2019-234">13</xref>&#x0005d;, while only a few studies found no association between smoking and PBC &#x0005b;<xref ref-type="bibr" rid="b10-kjim-2019-234">10</xref>,<xref ref-type="bibr" rid="b16-kjim-2019-234">16</xref>&#x0005d;. Smoking is generally a profibrotic factor for advanced fibrosis in non-alcoholic fatty liver disease as well as alcoholic and viral liver disease, probably due to free radical generation, oxidative stress or hypoxia &#x0005b;<xref ref-type="bibr" rid="b17-kjim-2019-234">17</xref>&#x0005d;. However, some discrepancies in the association of smoking and PBC might be due to the study design or sample size. Smoking is considered a contributing factor to PBC pathogenesis.</p>
<p>This study showed that alcohol drinking was negatively associated with PBC, which was compatible with previous studies &#x0005b;<xref ref-type="bibr" rid="b6-kjim-2019-234">6</xref>,<xref ref-type="bibr" rid="b7-kjim-2019-234">7</xref>&#x0005d;. The negative association between PBC and alcohol intake might result from recall bias or a reduction in alcohol intake after a patient has been diagnosed with a liver disease. However, considering that the proportion of never-drinkers was much higher in the PBC cases, alcohol drinking was not likely to merely be a confounding factor. Moreover, the protective effects of low to moderate alcohol drinking was suggested in systemic lupus erythematosus, rheumatoid arthritis and autoimmune hepatitis &#x0005b;<xref ref-type="bibr" rid="b18-kjim-2019-234">18</xref>,<xref ref-type="bibr" rid="b19-kjim-2019-234">19</xref>&#x0005d;. Therefore, the association of alcohol and PBC needs to be explored in further studies.</p>
<p>In keeping with previous studies, PBC was frequently associated with autoimmune diseases including autoimmune thyroiditis and Sjogren&#x02019;s disease in this study. First degree relatives of PBC patients showed a higher rate of diagnosis of PBC than of those in the control group (6.2% vs. 0%) because familial clustering cases with four sibling PBC cases were included in this study &#x0005b;<xref ref-type="bibr" rid="b20-kjim-2019-234">20</xref>&#x0005d;. It might lead to a stronger association between family history of PBC in this study compared with other studies in which the prevalence of PBC in first degree relatives was reported to be 1.33% to 6.40% &#x0005b;<xref ref-type="bibr" rid="b21-kjim-2019-234">21</xref>&#x0005d;.</p>
<p>Many studies reported that recurrent UTI was a significant risk factor of PBC &#x0005b;<xref ref-type="bibr" rid="b5-kjim-2019-234">5</xref>-<xref ref-type="bibr" rid="b7-kjim-2019-234">7</xref>,<xref ref-type="bibr" rid="b15-kjim-2019-234">15</xref>&#x0005d;. <italic>Escherichia coli</italic>, a major microorganism causing UTI, can be a strong inducer of pyruvate dehydrogenase complexes (PDC)-E2 specific AMA and liver pathology consistent with PBC in a mouse model &#x0005b;<xref ref-type="bibr" rid="b22-kjim-2019-234">22</xref>&#x0005d;. However, ever or multiple UTIs were not associated with PBC in this study. Notably, the UTI rates in this study (26.7%) were much lower than in other studies (39% to 70%) &#x0005b;<xref ref-type="bibr" rid="b4-kjim-2019-234">4</xref>,<xref ref-type="bibr" rid="b15-kjim-2019-234">15</xref>&#x0005d;. It was not clear whether the lower rate of UTIs reflected a really low incidence in Koreans or resulted from a recall bias; therefore, further validation is required.</p>
<p>Not only bacterial infection, but also xenobiotics may break immune tolerance by the mechanism of molecular mimicry. Octynoic acid, commonly used in artificial flavoring and cosmetics, was shown to induce AMA and PBC-like disease in murine models &#x0005b;<xref ref-type="bibr" rid="b23-kjim-2019-234">23</xref>&#x0005d;. Moreover, certain xenobiotics such as nail polish &#x0005b;<xref ref-type="bibr" rid="b7-kjim-2019-234">7</xref>&#x0005d; and hair dye &#x0005b;<xref ref-type="bibr" rid="b6-kjim-2019-234">6</xref>&#x0005d; were reported to be associated with PBC. However, there were no clear associations between the use of xenobiotics including cosmetics, hair dye, perm agent, nail polish, and herbal drugs in this study.</p>
<p>Because PBC is a female predominant disease, many studies have explored the association between hormonal or reproductive factors and PBC. Some study reported gravidity &#x0005b;<xref ref-type="bibr" rid="b24-kjim-2019-234">24</xref>&#x0005d;, exogenous estrogen &#x0005b;<xref ref-type="bibr" rid="b7-kjim-2019-234">7</xref>&#x0005d;, and pruritus during pregnancy &#x0005b;<xref ref-type="bibr" rid="b5-kjim-2019-234">5</xref>,<xref ref-type="bibr" rid="b6-kjim-2019-234">6</xref>&#x0005d; were associated with PBC, and other reported oral contraceptives &#x0005b;<xref ref-type="bibr" rid="b5-kjim-2019-234">5</xref>&#x0005d; were protective against PBC development. Most results on reproductive factors have not been reproduced in other studies. In this study, the proportion of females who had experienced receiving an induced abortion was strikingly high, and it was significantly more frequent in PBC patients than in the controls. The rate of induced abortions in Korea was reported to be up to 50% in 1980s and 1990s &#x0005b;<xref ref-type="bibr" rid="b25-kjim-2019-234">25</xref>&#x0005d;, whereas the use of oral contraceptives was reported to be 6% in 1984 &#x0005b;<xref ref-type="bibr" rid="b26-kjim-2019-234">26</xref>&#x0005d; although it increased to 31.3% in 2007 in Korea &#x0005b;<xref ref-type="bibr" rid="b27-kjim-2019-234">27</xref>&#x0005d;. Corpechot et al. &#x0005b;<xref ref-type="bibr" rid="b5-kjim-2019-234">5</xref>&#x0005d; also reported that abortion was a risk factor of PBC. Moreover, induced abortion was reported to be a risk factor in autoimmune thyroiditis &#x0005b;<xref ref-type="bibr" rid="b28-kjim-2019-234">28</xref>&#x0005d;. Fetal microchimerism, which occurs more frequently in surgical abortions than in spontaneous abortions, was assumed to be associated with the development of autoimmune diseases &#x0005b;<xref ref-type="bibr" rid="b29-kjim-2019-234">29</xref>&#x0005d;. Therefore, the association between PBC and abortion should be studied further. Cultural differences in contraception methods might lead to the different association between PBC and reproductive factors among countries. Unexpectedly, the number as well as the experience of a full-term delivery was negatively associated with PBC. There have been few studies on the association between PBC and full-term delivery or gravity. One study showed that PBC patients reported significantly more pregnancies which is contradictory to our results. This association also needs to be identified further.</p>
<p>The limitations of this study include an interview-based questionnaire survey which has inherently a recall bias and a relatively small sample size. In addition, the PBC patients were enrolled from tertiary referral centers and might not be representative of PBC patients in general. Lastly, comorbidities and past illness can be underestimated because the PBC patients were interviewed by medical personnel, while the controls were interviewed by non-medical professional interviewers working for a commercial survey company, although we used the same questionnaires with detailed explanations and education to minimize the heterogeneity among the interviewers. Despite these limitations, this is the first study to our knowledge on the risk factors of PBC in Asian countries. Moreover, this is a multicenter study using face-to-face interviews for both the patients and the controls with comprehensive and detailed questionnaires that included reported risk factors on PBC.</p>
<p>In summary, we found that smoking, history of autoimmune disease, and artificial abortions were risk factors of PBC, while alcohol drinking and full-term delivery were negatively associated with PBC in South Korea. Further studies to validate the results of this study and search for clues on the pathogenesis of PBC are warranted.</p>
</sec>
<sec>
<title>KEY MESSAGE</title>
<boxed-text position="float" orientation="portrait">
<p>1. A family history of primary biliary cholangitis (PBC), accompanying autoimmune diseases, and smoking were signif icantly associated with PBC in this case-control study.</p>
<p>2. More induced abortions and less full-term deliveries were significantly associated with female PBC.</p>
<p>3. Mild to moderate alcohol intake was negatively associated with PBC.</p>
</boxed-text>
</sec>
</body>
<back>
<sec sec-type="supplementary-material"><title>Supplementary Materials</title>
<supplementary-material content-type="loca-data" id="SD1-kjim-2019-234">
<label>Supplementary Material</label><caption>
<p>Questionnaire survey form (in Korean).</p>
</caption><media mimetype="application" mime-subtype="pdf" xlink:href="kjim-2019-234-suppl.pdf"/></supplementary-material>
</sec>
<fn-group>
<fn fn-type="conflict"><p>No potential conflict of interest relevant to this article was reported.</p></fn>
</fn-group>
<ref-list>
<title>REFERENCES</title>
<ref id="b1-kjim-2019-234">
<label>1</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Poupon</surname><given-names>R</given-names></name>
</person-group>
<article-title>Primary biliary cirrhosis: a 2010 update</article-title>
<source>J Hepatol</source>
<year>2010</year>
<volume>52</volume>
<fpage>745</fpage>
<lpage>758</lpage>
</element-citation></ref>
<ref id="b2-kjim-2019-234">
<label>2</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Boonstra</surname><given-names>K</given-names></name>
<name><surname>Beuers</surname><given-names>U</given-names></name>
<name><surname>Ponsioen</surname><given-names>CY</given-names></name>
</person-group>
<article-title>Epidemiology of primary sclerosing cholangitis and primary biliary cirrhosis: a systematic review</article-title>
<source>J Hepatol</source>
<year>2012</year>
<volume>56</volume>
<fpage>1181</fpage>
<lpage>1188</lpage>
</element-citation></ref>
<ref id="b3-kjim-2019-234">
<label>3</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Bianchi</surname><given-names>I</given-names></name>
<name><surname>Carbone</surname><given-names>M</given-names></name>
<name><surname>Lleo</surname><given-names>A</given-names></name>
<name><surname>Invernizzi</surname><given-names>P</given-names></name>
</person-group>
<article-title>Genetics and epigenetics of primary biliary cirrhosis</article-title>
<source>Semin Liver Dis</source>
<year>2014</year>
<volume>34</volume>
<fpage>255</fpage>
<lpage>264</lpage>
</element-citation></ref>
<ref id="b4-kjim-2019-234">
<label>4</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lammert</surname><given-names>C</given-names></name>
<name><surname>Nguyen</surname><given-names>DL</given-names></name>
<name><surname>Juran</surname><given-names>BD</given-names></name>
<etal/>
</person-group>
<article-title>Questionnaire based assessment of risk factors for primary biliary cirrhosis</article-title>
<source>Dig Liver Dis</source>
<year>2013</year>
<volume>45</volume>
<fpage>589</fpage>
<lpage>594</lpage>
</element-citation></ref>
<ref id="b5-kjim-2019-234">
<label>5</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Corpechot</surname><given-names>C</given-names></name>
<name><surname>Chretien</surname><given-names>Y</given-names></name>
<name><surname>Chazouilleres</surname><given-names>O</given-names></name>
<name><surname>Poupon</surname><given-names>R</given-names></name>
</person-group>
<article-title>Demographic, lifestyle, medical and familial factors associated with primary biliary cirrhosis</article-title>
<source>J Hepatol</source>
<year>2010</year>
<volume>53</volume>
<fpage>162</fpage>
<lpage>169</lpage>
</element-citation></ref>
<ref id="b6-kjim-2019-234">
<label>6</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Prince</surname><given-names>MI</given-names></name>
<name><surname>Ducker</surname><given-names>SJ</given-names></name>
<name><surname>James</surname><given-names>OF</given-names></name>
</person-group>
<article-title>Case-control studies of risk factors for primary biliary cirrhosis in two United Kingdom populations</article-title>
<source>Gut</source>
<year>2010</year>
<volume>59</volume>
<fpage>508</fpage>
<lpage>512</lpage>
</element-citation></ref>
<ref id="b7-kjim-2019-234">
<label>7</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Gershwin</surname><given-names>ME</given-names></name>
<name><surname>Selmi</surname><given-names>C</given-names></name>
<name><surname>Worman</surname><given-names>HJ</given-names></name>
<etal/>
</person-group>
<article-title>Risk factors and comorbidities in primary biliary cirrhosis: a controlled interview-based study of 1032 patients</article-title>
<source>Hepatology</source>
<year>2005</year>
<volume>42</volume>
<fpage>1194</fpage>
<lpage>1202</lpage>
</element-citation></ref>
<ref id="b8-kjim-2019-234">
<label>8</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kim</surname><given-names>KA</given-names></name>
<name><surname>Ki</surname><given-names>M</given-names></name>
<name><surname>Choi</surname><given-names>HY</given-names></name>
<name><surname>Kim</surname><given-names>BH</given-names></name>
<name><surname>Jang</surname><given-names>ES</given-names></name>
<name><surname>Jeong</surname><given-names>SH</given-names></name>
</person-group>
<article-title>Population-based epidemiology of primary biliary cirrhosis in South Korea</article-title>
<source>Aliment Pharmacol Ther</source>
<year>2016</year>
<volume>43</volume>
<fpage>154</fpage>
<lpage>162</lpage>
</element-citation></ref>
<ref id="b9-kjim-2019-234">
<label>9</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Selmi</surname><given-names>C</given-names></name>
<name><surname>Mayo</surname><given-names>MJ</given-names></name>
<name><surname>Bach</surname><given-names>N</given-names></name>
<etal/>
</person-group>
<article-title>Primary biliary cirrhosis in monozygotic and dizygotic twins: genetics, epigenetics, and environment</article-title>
<source>Gastroenterology</source>
<year>2004</year>
<volume>127</volume>
<fpage>485</fpage>
<lpage>492</lpage>
</element-citation></ref>
<ref id="b10-kjim-2019-234">
<label>10</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Mantaka</surname><given-names>A</given-names></name>
<name><surname>Koulentaki</surname><given-names>M</given-names></name>
<name><surname>Chlouverakis</surname><given-names>G</given-names></name>
<etal/>
</person-group>
<article-title>Primary biliary cirrhosis in a genetically homogeneous population: disease associations and familial occurrence rates</article-title>
<source>BMC Gastroenterol</source>
<year>2012</year>
<volume>12</volume>
<fpage>110</fpage>
</element-citation></ref>
<ref id="b11-kjim-2019-234">
<label>11</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Invernizzi</surname><given-names>P</given-names></name>
</person-group>
<article-title>Human leukocyte antigen in primary biliary cirrhosis: an old story now reviving</article-title>
<source>Hepatology</source>
<year>2011</year>
<volume>54</volume>
<fpage>714</fpage>
<lpage>723</lpage>
</element-citation></ref>
<ref id="b12-kjim-2019-234">
<label>12</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Corpechot</surname><given-names>C</given-names></name>
<name><surname>Gaouar</surname><given-names>F</given-names></name>
<name><surname>Chretien</surname><given-names>Y</given-names></name>
<name><surname>Johanet</surname><given-names>C</given-names></name>
<name><surname>Chazouilleres</surname><given-names>O</given-names></name>
<name><surname>Poupon</surname><given-names>R</given-names></name>
</person-group>
<article-title>Smoking as an independent risk factor of liver fibrosis in primary biliary cirrhosis</article-title>
<source>J Hepatol</source>
<year>2012</year>
<volume>56</volume>
<fpage>218</fpage>
<lpage>224</lpage>
</element-citation></ref>
<ref id="b13-kjim-2019-234">
<label>13</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ng</surname><given-names>M</given-names></name>
<name><surname>Freeman</surname><given-names>MK</given-names></name>
<name><surname>Fleming</surname><given-names>TD</given-names></name>
<etal/>
</person-group>
<article-title>Smoking prevalence and cigarette consumption in 187 countries, 1980-2012</article-title>
<source>JAMA</source>
<year>2014</year>
<volume>311</volume>
<fpage>183</fpage>
<lpage>192</lpage>
</element-citation></ref>
<ref id="b14-kjim-2019-234">
<label>14</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Howel</surname><given-names>D</given-names></name>
<name><surname>Fischbacher</surname><given-names>CM</given-names></name>
<name><surname>Bhopal</surname><given-names>RS</given-names></name>
<name><surname>Gray</surname><given-names>J</given-names></name>
<name><surname>Metcalf</surname><given-names>JV</given-names></name>
<name><surname>James</surname><given-names>OF</given-names></name>
</person-group>
<article-title>An exploratory population-based case-control study of primary biliary cirrhosis</article-title>
<source>Hepatology</source>
<year>2000</year>
<volume>31</volume>
<fpage>1055</fpage>
<lpage>1060</lpage>
</element-citation></ref>
<ref id="b15-kjim-2019-234">
<label>15</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Parikh-Patel</surname><given-names>A</given-names></name>
<name><surname>Gold</surname><given-names>EB</given-names></name>
<name><surname>Worman</surname><given-names>H</given-names></name>
<name><surname>Krivy</surname><given-names>KE</given-names></name>
<name><surname>Gershwin</surname><given-names>ME</given-names></name>
</person-group>
<article-title>Risk factors for primary biliary cirrhosis in a cohort of patients from the united states</article-title>
<source>Hepatology</source>
<year>2001</year>
<volume>33</volume>
<fpage>16</fpage>
<lpage>21</lpage>
</element-citation></ref>
<ref id="b16-kjim-2019-234">
<label>16</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Boonstra</surname><given-names>K</given-names></name>
<name><surname>Kunst</surname><given-names>AE</given-names></name>
<name><surname>Stadhouders</surname><given-names>PH</given-names></name>
<etal/>
</person-group>
<article-title>Rising incidence and prevalence of primary biliary cirrhosis: a large population-based study</article-title>
<source>Liver Int</source>
<year>2014</year>
<volume>34</volume>
<fpage>e31</fpage>
<lpage>e38</lpage>
</element-citation></ref>
<ref id="b17-kjim-2019-234">
<label>17</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zein</surname><given-names>CO</given-names></name>
<name><surname>Unalp</surname><given-names>A</given-names></name>
<name><surname>Colvin</surname><given-names>R</given-names></name>
<name><surname>Liu</surname><given-names>YC</given-names></name>
<name><surname>McCullough</surname><given-names>AJ</given-names></name>
<collab>Nonalcoholic Steatohepatitis Clinical Research Network</collab>
</person-group>
<article-title>Smoking and severity of hepatic fibrosis in nonalcoholic fatty liver disease</article-title>
<source>J Hepatol</source>
<year>2011</year>
<volume>54</volume>
<fpage>753</fpage>
<lpage>759</lpage>
</element-citation></ref>
<ref id="b18-kjim-2019-234">
<label>18</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Anaya</surname><given-names>JM</given-names></name>
<name><surname>Restrepo-Jimenez</surname><given-names>P</given-names></name>
<name><surname>Ramirez-Santana</surname><given-names>C</given-names></name>
</person-group>
<article-title>The autoimmune ecology: an update</article-title>
<source>Curr Opin Rheumatol</source>
<year>2018</year>
<volume>30</volume>
<fpage>350</fpage>
<lpage>360</lpage>
</element-citation></ref>
<ref id="b19-kjim-2019-234">
<label>19</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Floreani</surname><given-names>A</given-names></name>
<name><surname>Restrepo-Jimenez</surname><given-names>P</given-names></name>
<name><surname>Secchi</surname><given-names>MF</given-names></name>
<etal/>
</person-group>
<article-title>Etiopathogenesis of autoimmune hepatitis</article-title>
<source>J Autoimmun</source>
<year>2018</year>
<volume>95</volume>
<fpage>133</fpage>
<lpage>143</lpage>
</element-citation></ref>
<ref id="b20-kjim-2019-234">
<label>20</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Shin</surname><given-names>S</given-names></name>
<name><surname>Moh</surname><given-names>IH</given-names></name>
<name><surname>Woo</surname><given-names>YS</given-names></name>
<etal/>
</person-group>
<article-title>Evidence from a familial case suggests maternal inheritance of primary biliary cholangitis</article-title>
<source>World J Gastroenterol</source>
<year>2017</year>
<volume>23</volume>
<fpage>7191</fpage>
<lpage>7197</lpage>
</element-citation></ref>
<ref id="b21-kjim-2019-234">
<label>21</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Mells</surname><given-names>GF</given-names></name>
</person-group>
<article-title>Primary biliary cirrhosis: family, genes, and bugs</article-title>
<source>Clin Liver Dis (Hoboken)</source>
<year>2014</year>
<volume>3</volume>
<fpage>69</fpage>
<lpage>73</lpage>
</element-citation></ref>
<ref id="b22-kjim-2019-234">
<label>22</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Wang</surname><given-names>JJ</given-names></name>
<name><surname>Yang</surname><given-names>GX</given-names></name>
<name><surname>Zhang</surname><given-names>WC</given-names></name>
<etal/>
</person-group>
<article-title>Escherichia coli infection induces autoimmune cholangitis and anti-mitochondrial antibodies in non-obese diabetic (NOD).B6 (Idd10/Idd18) mice</article-title>
<source>Clin Exp Immunol</source>
<year>2014</year>
<volume>175</volume>
<fpage>192</fpage>
<lpage>201</lpage>
</element-citation></ref>
<ref id="b23-kjim-2019-234">
<label>23</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Wakabayashi</surname><given-names>K</given-names></name>
<name><surname>Lian</surname><given-names>ZX</given-names></name>
<name><surname>Leung</surname><given-names>PS</given-names></name>
<etal/>
</person-group>
<article-title>Loss of tolerance in C57BL/6 mice to the autoantigen E2 subunit of pyruvate dehydrogenase by a xenobiotic with ensuing biliary ductular disease</article-title>
<source>Hepatology</source>
<year>2008</year>
<volume>48</volume>
<fpage>531</fpage>
<lpage>540</lpage>
</element-citation></ref>
<ref id="b24-kjim-2019-234">
<label>24</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Parikh-Patel</surname><given-names>A</given-names></name>
<name><surname>Gold</surname><given-names>E</given-names></name>
<name><surname>Utts</surname><given-names>J</given-names></name>
<name><surname>Gershwin</surname><given-names>ME</given-names></name>
</person-group>
<article-title>The association between gravidity and primary biliary cirrhosis</article-title>
<source>Ann Epidemiol</source>
<year>2002</year>
<volume>12</volume>
<fpage>264</fpage>
<lpage>272</lpage>
</element-citation></ref>
<ref id="b25-kjim-2019-234">
<label>25</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Jeon</surname><given-names>HS</given-names></name>
<name><surname>Seo</surname><given-names>HG</given-names></name>
</person-group>
<article-title>Abortion in Korea since 1945</article-title>
<source>Uisahak</source>
<year>2003</year>
<volume>12</volume>
<fpage>129</fpage>
<lpage>143</lpage>
</element-citation></ref>
<ref id="b26-kjim-2019-234">
<label>26</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Park</surname><given-names>KH</given-names></name>
</person-group>
<article-title>Current status of contraception</article-title>
<source>Korean J Fertil Steril</source>
<year>1986</year>
<volume>13</volume>
<fpage>95</fpage>
<lpage>100</lpage>
</element-citation></ref>
<ref id="b27-kjim-2019-234">
<label>27</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lee</surname><given-names>DY</given-names></name>
<name><surname>Koo</surname><given-names>YA</given-names></name>
<name><surname>Yoon</surname><given-names>BK</given-names></name>
<name><surname>Choi</surname><given-names>D</given-names></name>
</person-group>
<article-title>Reproductive health characteristics of urban South Korean women</article-title>
<source>Gynecol Obstet Invest</source>
<year>2010</year>
<volume>70</volume>
<fpage>154</fpage>
<lpage>159</lpage>
</element-citation></ref>
<ref id="b28-kjim-2019-234">
<label>28</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Carle</surname><given-names>A</given-names></name>
<name><surname>Pedersen</surname><given-names>IB</given-names></name>
<name><surname>Knudsen</surname><given-names>N</given-names></name>
<etal/>
</person-group>
<article-title>Development of autoimmune overt hypothyroidism is highly associated with live births and induced abortions but only in premenopausal women</article-title>
<source>J Clin Endocrinol Metab</source>
<year>2014</year>
<volume>99</volume>
<fpage>2241</fpage>
<lpage>2249</lpage>
</element-citation></ref>
<ref id="b29-kjim-2019-234">
<label>29</label>
<element-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Miech</surname><given-names>RP</given-names></name>
</person-group>
<article-title>The role of fetal microchimerism in autoimmune disease</article-title>
<source>Int J Clin Exp Med</source>
<year>2010</year>
<volume>3</volume>
<fpage>164</fpage>
<lpage>168</lpage>
</element-citation></ref>
</ref-list>
<sec sec-type="display-objects">
<title>Tables</title>
<table-wrap id="t1-kjim-2019-234" position="float">
<label>Table 1.</label>
<caption><p>Demographic and socioeconomic characteristics of PBC cases and controls</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Characteristic</th>
<th align="center" valign="middle">PBC cases (n = 103)</th>
<th align="center" valign="middle">Controls (n = 100)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Female sex</td>
<td valign="top" align="center">86.4 (90)</td>
<td valign="top" align="center">85 (85)</td>
<td valign="top" align="center">0.77</td>
</tr>
<tr>
<td valign="top" align="left">Age at enrollment, yr</td>
<td valign="top" align="center">58.6 &#x000B1; 11.4</td>
<td valign="top" align="center">56.8 &#x000B1; 10.8</td>
<td valign="top" align="center">0.26</td>
</tr>
<tr>
<td valign="top" align="left">Age at diagnosis, yr</td>
<td valign="top" align="center">55.2 &#x000B1; 10.4</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">BMI, kg/m<sup>2</sup></td>
<td valign="top" align="center">23.2 &#x000B1; 2.6</td>
<td valign="top" align="center">23.0 &#x000B1; 2.3</td>
<td valign="top" align="center">0.51</td>
</tr>
<tr>
<td valign="top" align="left">Educational level</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02264; Middle school</td>
<td valign="top" align="center">23.5 (24)</td>
<td valign="top" align="center">25 (25.3)</td>
<td valign="top" align="center">0.50</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;High school</td>
<td valign="top" align="center">42.2 (43)</td>
<td valign="top" align="center">50 (50.5)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02265; College</td>
<td valign="top" align="center">34.3 (35)</td>
<td valign="top" align="center">24 (24.2)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Economic status</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;High</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2.1 (2)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Mid</td>
<td valign="top" align="center">71.8 (28)</td>
<td valign="top" align="center">76.3 (74)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Low</td>
<td valign="top" align="center">28.2 (11)</td>
<td valign="top" align="center">21.7 (21)</td>
<td valign="top" align="center"></td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as % (number) or mean &#x000B1; SD.</p>
<p>PBC, primary biliary cholangitis; BMI, body mass index.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t2-kjim-2019-234" position="float">
<label>Table 2.</label>
<caption><p>Lifestyle factors of PBC cases and controls</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">PBC cases (n = 103)</th>
<th align="center" valign="middle">Controls (n = 100)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td valign="top" align="left">First-hand smoking</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Ever regularly smoked</td>
<td valign="top" align="center">16/103 (15.5)</td>
<td valign="top" align="center">11/100 (11.0)</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Current smoking</td>
<td valign="top" align="center">5/103 (4.8)</td>
<td valign="top" align="center">7/100 (7.0)</td>
<td valign="top" align="center">0.56</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Second-hand smoke exposure</td>
<td valign="top" align="center">42/99 (42.4)</td>
<td valign="top" align="center">37/99 (37.4)</td>
<td valign="top" align="center">0.56</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Smoking including both first- &amp; second-hand</td>
<td valign="top" align="center">51/98 (49.5)</td>
<td valign="top" align="center">42/100 (42.0)</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02003;Female</td>
<td valign="top" align="center">39/84 (42.6)</td>
<td valign="top" align="center">33/85 (38.8)</td>
<td valign="top" align="center">0.32</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02003;Male</td>
<td valign="top" align="center">12/14 (72.4)</td>
<td valign="top" align="center">9/15 (60.0)</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol drinking, A/B/C<sup><xref rid="tfn1-kjim-2019-234" ref-type="table-fn">a</xref></sup></td>
<td valign="top" align="center">9/32/62 (8.7/30.1/61.2)</td>
<td valign="top" align="center">13/53/34 (13.0/53.0/34.0)</td>
<td valign="top" align="center">&lt; 0.01</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="top" align="center">5/24/60 (5.6/27.0/67.4)</td>
<td valign="top" align="center">6/45/34 (7.1/52.9/40.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="top" align="center">4/8/2 (28.6/57.1/14.3)</td>
<td valign="top" align="center">7/8/0 (46.7/53.3/0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Coffee</td>
<td valign="top" align="center">89/103 (86.4)</td>
<td valign="top" align="center">92/100 (92.0)</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left">Hair dye (&gt; 2/yr)</td>
<td valign="top" align="center">33/101 (32.7)</td>
<td valign="top" align="center">30/99 (30.3)</td>
<td valign="top" align="center">0.72</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="top" align="center">32/87 (36.8)</td>
<td valign="top" align="center">27/84 (32.1)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="top" align="center">1/14 (7.1)</td>
<td valign="top" align="center">3/15 (20.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Nail polish (&gt; 2/yr)</td>
<td valign="top" align="center">13/102 (12.7)</td>
<td valign="top" align="center">18/100 (18.0)</td>
<td valign="top" align="center">0.30</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="top" align="center">13/88 (14.8)</td>
<td valign="top" align="center">17/85 (20.0)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="top" align="center">0/14 (0.0)</td>
<td valign="top" align="center">1/15 (6.7)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">Hair perm (&gt; 4/yr)</td>
<td valign="top" align="center">36/102 (35.3)</td>
<td valign="top" align="center">34/100 (34.0)</td>
<td valign="top" align="center">0.85</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="top" align="center">36/88 (40.9)</td>
<td valign="top" align="center">33/85 (38.8)</td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="top" align="center">0/14 (0.0)</td>
<td valign="top" align="center">1/15 (6.7)</td>
<td valign="top" align="center"></td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as number (%).</p>
<p>PBC, primary biliary cholangitis.</p></fn>
<fn id="tfn1-kjim-2019-234"><label>a</label><p>A, &#x02265; 7 drinks/week for female, &#x02265; 14 drinks/week for male; B, &lt; 7 drinks/week for female, &lt; 14 drinks/week for male; C, never drinker.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t3-kjim-2019-234" position="float">
<label>Table 3.</label>
<caption><p>History on the accompanying disease and family history in PBC cases and controls</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">PBC cases (n = 103)</th>
<th align="center" valign="middle">Controls (n = 100)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Sjogren&#x02019;s disease</td>
<td valign="top" align="center">27/103 (6.3)</td>
<td valign="top" align="center">1/97 (1.0)</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">Raynaud phenomena</td>
<td valign="top" align="center">2/100 (2.0)</td>
<td valign="top" align="center">0/96 (0.0)</td>
<td valign="top" align="center">0.50</td>
</tr>
<tr>
<td valign="top" align="left">Thyroid disease</td>
<td valign="top" align="center">19/103 (18.4)</td>
<td valign="top" align="center">7/99 (7.1)</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">Any type of autoimmune disease</td>
<td valign="top" align="center">27/103 (26.2)</td>
<td valign="top" align="center">9/90 (9.1)</td>
<td valign="top" align="center">&lt; 0.01</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">16/103 (15.5)</td>
<td valign="top" align="center">7/97 (7.2)</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">Osteoporosis</td>
<td valign="top" align="center">23/103 (22.1)</td>
<td valign="top" align="center">10/100 (10.0)</td>
<td valign="top" align="center">&lt; 0.05</td>
</tr>
<tr>
<td valign="top" align="left">Urinary tract infection</td>
<td valign="top" align="center">27/101 (26.7)</td>
<td valign="top" align="center">19/100 (19.0)</td>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td valign="top" align="left">Acute hepatitis</td>
<td valign="top" align="center">4/102 (3.9)</td>
<td valign="top" align="center">0/98 (0.0)</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left">History of herbal medication</td>
<td valign="top" align="center">80/103 (77.7)</td>
<td valign="top" align="center">77/99 (77.8)</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">PBC in first degree relatives</td>
<td valign="top" align="center">6/97 (6.2)</td>
<td valign="top" align="center">0/97 (0.0)</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">Thyroid disease in first degree relatives</td>
<td valign="top" align="center">9/103 (8.7)</td>
<td valign="top" align="center">8/100 (8)</td>
<td valign="top" align="center">0.85</td>
</tr>
<tr>
<td valign="top" align="left">Autoimmune hepatitis in first degree relatives</td>
<td valign="top" align="center">1/103 (1.0)</td>
<td valign="top" align="center">0/100 (0.0)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">Sjogren&#x02019;s disease in first degree relatives</td>
<td valign="top" align="center">0/103 (0)</td>
<td valign="top" align="center">0/100 (0)</td>
<td valign="top" align="center">-</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as number (%).</p>
<p>PBC, primary biliary cholangitis.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t4-kjim-2019-234" position="float">
<label>Table 4.</label>
<caption><p>Reproductive and gynecological factors of female PBC cases and controls</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">PBC cases (n = 89)</th>
<th align="center" valign="middle">Controls (n = 85)</th>
<th align="center" valign="middle"><italic>p</italic> value</th>
</tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Age, yr</td>
<td valign="top" align="center">58.4 &#x000B1; 11.1</td>
<td valign="top" align="center">56.9 &#x000B1; 10.9</td>
<td valign="top" align="center">0.35</td>
</tr>
<tr>
<td valign="top" align="left">Age of menarche, yr</td>
<td valign="top" align="center">15.1 &#x000B1; 1.9</td>
<td valign="top" align="center">14.7 &#x000B1; 1.6</td>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" align="left">Menopaused state</td>
<td valign="top" align="center">74.2 (66/89)</td>
<td valign="top" align="center">62.5 (53/85)</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">Age at menopause, yr</td>
<td valign="top" align="center">49.8 &#x000B1; 5.0</td>
<td valign="top" align="center">50.9 &#x000B1; 2.1</td>
<td valign="top" align="center">0.32</td>
</tr>
<tr>
<td valign="top" align="left">Hormone replacement therapy</td>
<td valign="top" align="center">16.7 (13/66)</td>
<td valign="top" align="center">7.8 (4/53)</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">Pregnancy</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Ever</td>
<td valign="top" align="center">91 (81/89)</td>
<td valign="top" align="center">100 (85/85)</td>
<td valign="top" align="center">&lt; 0.05</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;No. of pregnancy</td>
<td valign="top" align="center">3.8 &#x000B1; 0.3</td>
<td valign="top" align="center">3.2 &#x000B1; 1.2</td>
<td valign="top" align="center">0.17</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Full-term delivery, ever</td>
<td valign="top" align="center">91 (81/89)</td>
<td valign="top" align="center">100 (85/85)</td>
<td valign="top" align="center">&lt; 0.05</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;No. of full-term delivery</td>
<td valign="top" align="center">2.1 &#x000B1; 1.2</td>
<td valign="top" align="center">2.5 &#x000B1; 0.9</td>
<td valign="top" align="center">&lt; 0.05</td>
</tr>
<tr>
<td valign="top" align="left">Miscarriage</td>
<td valign="top" align="center">25.8 (23/89)</td>
<td valign="top" align="center">23.5 (20/85)</td>
<td valign="top" align="center">0.72</td>
</tr>
<tr>
<td valign="top" align="left">Artificial abortion</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Ever</td>
<td valign="top" align="center">51.1 (45/88)</td>
<td valign="top" align="center">37.7 (32/85)</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;No. of abortion</td>
<td valign="top" align="center">1.2 &#x000B1; 2.1</td>
<td valign="top" align="center">0.5 &#x000B1; 0.7</td>
<td valign="top" align="center">&lt; 0.05</td>
</tr>
<tr>
<td valign="top" align="left">Use of oral contraceptives</td>
<td valign="top" align="center">25.3 (22/87)</td>
<td valign="top" align="center">25.9 (22/85)</td>
<td valign="top" align="center">0.93</td>
</tr>
<tr>
<td valign="top" align="left">Pruritus during pregnancy</td>
<td valign="top" align="center">4.8 (4/84)</td>
<td valign="top" align="center">8.3 (7/84)</td>
<td valign="top" align="center">0.53</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>Values are presented as mean &#x000B1; SD or % (number).</p>
<p>PBC, primary biliary cholangitis.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t5-kjim-2019-234" position="float">
<label>Table 5.</label>
<caption><p>Multivariable analysis on the risk factors for PBC in PBC cases and controls</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle" rowspan="2">Factor</th>
<th align="center" valign="middle" colspan="2">Univariable analysis<hr/></th>
<th align="center" valign="middle" colspan="2">Multivariable analysis<hr/></th>
</tr><tr>
<th align="center" valign="middle">OR</th>
<th align="center" valign="middle">95% CI</th>
<th align="center" valign="middle">OR</th>
<th align="center" valign="middle">95% CI</th>
</tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Smoking (first- &amp; second-hand)</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">0.86&#x02013;2.63</td>
<td valign="top" align="center">2.03</td>
<td valign="top" align="center">1.06 &#x02013;3.98</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol<sup><xref rid="tfn2-kjim-2019-234" ref-type="table-fn">a</xref></sup></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;A vs. C</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.15&#x02013;0.98</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0.10&#x02013;0.89</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;B vs. C</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">0.18&#x02013;0.61</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0.15&#x02013;0.61</td>
</tr>
<tr>
<td valign="top" align="left">Autoimmune disease, any type</td>
<td valign="top" align="center">3.55</td>
<td valign="top" align="center">1.57&#x02013;8.02</td>
<td valign="top" align="center">2.46</td>
<td valign="top" align="center">1.06&#x02013;6.35</td>
</tr>
<tr>
<td valign="top" align="left">Family history of PBC in first degree relatives</td>
<td valign="top" align="center">13.85</td>
<td valign="top" align="center">1.60&#x02013;1,815.30</td>
<td valign="top" align="center">17.76</td>
<td valign="top" align="center">1.77&#x02013;2,418.74</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">2.37</td>
<td valign="top" align="center">0.93&#x02013;6.03</td>
<td valign="top" align="center">2.64</td>
<td valign="top" align="center">0.99&#x02013;7.49</td>
</tr>
<tr>
<td valign="top" align="left">Urinary tract infection</td>
<td valign="top" align="center">1.56</td>
<td valign="top" align="center">0.80&#x02013;3.03</td>
<td valign="top" align="center">1.52</td>
<td valign="top" align="center">0.73&#x02013;3.23</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>PBC, primary biliary cholangitis; OR, odds ratio; CI, confidence interval.</p></fn>
<fn id="tfn2-kjim-2019-234"><label>a</label><p>A, &#x02265; 7 drinks/week for female, &#x02265; 14 drinks/week for male; B, &lt; 7 drinks/week for female, &lt; 14 drinks/week for male; C, never drinker.</p></fn>
</table-wrap-foot>
</table-wrap>

<table-wrap id="t6-kjim-2019-234" position="float">
<label>Table 6.</label>
<caption><p>Multivariable analysis in female PBC cases and controls</p></caption>
<table rules="groups" frame="hsides">
<thead><tr>
<th align="left" valign="middle" rowspan="2">Factor</th>
<th align="center" valign="middle" colspan="2">Univariable analysis<hr/></th>
<th align="center" valign="middle" colspan="2">Multivariable analysis<hr/></th>
</tr><tr>
<th align="center" valign="middle">OR</th>
<th align="center" valign="middle">95% CI</th>
<th align="center" valign="middle">OR</th>
<th align="center" valign="middle">95% CI</th>
</tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Smoking (first- &amp; second-hand)</td>
<td valign="top" align="center">1.37</td>
<td valign="top" align="center">0.74&#x02013;2.52</td>
<td valign="top" align="center">1.47</td>
<td valign="top" align="center">0.68 &#x02013;3.24</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol</td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
<td valign="top" align="center"></td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;&gt; 7 drinks/week vs. never</td>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center">0.13&#x02013;1.66</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.06&#x02013;1.38</td>
</tr>
<tr>
<td valign="top" align="left">&#x02003;Up to 7 drinks/week vs. never</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.16&#x02013;0.58</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.06&#x02013;0.36</td>
</tr>
<tr>
<td valign="top" align="left">Autoimmune disease, any type</td>
<td valign="top" align="center">3.63</td>
<td valign="top" align="center">1.59&#x02013;8.29</td>
<td valign="top" align="center">2.82</td>
<td valign="top" align="center">1.07&#x02013;7.92</td>
</tr>
<tr>
<td valign="top" align="left">Family history of PBC in first degree relatives</td>
<td valign="top" align="center">13.67</td>
<td valign="top" align="center">1.57&#x02013;1793.64</td>
<td valign="top" align="center">13.28</td>
<td valign="top" align="center">1.37&#x02013;1798.00</td>
</tr>
<tr>
<td valign="top" align="left">No. of full-term delivery</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center">0.53&#x02013;0.96</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">0.48&#x02013;0.97</td>
</tr>
<tr>
<td valign="top" align="left">No. of abortion</td>
<td valign="top" align="center">1.59</td>
<td valign="top" align="center">1.14&#x02013;2.20</td>
<td valign="top" align="center">2.22</td>
<td valign="top" align="center">1.44&#x02013;3.69</td>
</tr>
</tbody></table>
<table-wrap-foot>
<fn><p>PBC, primary biliary cholangitis; OR, odds ratio; CI, confidence interval.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</back></article>