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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Int J Public Health</journal-id>
<journal-title>International Journal of Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Int J Public Health</abbrev-journal-title>
<issn pub-type="epub">1661-8564</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1605429</article-id>
<article-id pub-id-type="doi">10.3389/ijph.2023.1605429</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health Archive</subject>
<subj-group>
<subject>Original Article</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Pregnancy Loss and Risk of All-Cause Mortality in Chinese Women: Findings From the China Kadoorie Biobank</article-title>
<alt-title alt-title-type="left-running-head">Jiang et al.</alt-title>
<alt-title alt-title-type="right-running-head">Pregnancy Loss and All-Cause Mortality</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Sha</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hee</surname>
<given-names>Jia Yi</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xin</surname>
<given-names>Yiqian</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zou</surname>
<given-names>Siyu</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tang</surname>
<given-names>Kun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1064398/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Centre for Global Child Health</institution>, <institution>The Hospital for Sick Children</institution>, <addr-line>Toronto</addr-line>, <addr-line>ON</addr-line>, <country>Canada</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Vanke School of Public Health</institution>, <institution>Tsinghua University</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Duke Global Health Institute</institution>, <institution>Duke University</institution>, <addr-line>Durham</addr-line>, <addr-line>NC</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1002548/overview">Bernardo Horta</ext-link>, Federal University of Pelotas, Brazil</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1049965/overview">Isidora Vujcic</ext-link>, University of Belgrade, Serbia</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Kun Tang, <email>tangk@tsinghua.edu.cn</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>04</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>68</volume>
<elocation-id>1605429</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>09</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>04</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Jiang, Huang, Hee, Xin, Zou and Tang.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Jiang, Huang, Hee, Xin, Zou and Tang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Objectives:</bold> Pregnancy loss is a common obstetric complication that may be associated with maternal mortality. However, evidence is sparse and inconsistent. This study aims to investigate the association between pregnancy loss with the risk of all-cause mortality among Chinese women.</p>
<p>
<bold>Methods:</bold> Data on 299,582 women aged 30&#x2013;79&#xa0;years old from the China Kadoorie Biobank were used. Cox proportional hazard regression was conducted to investigate the association between the occurrence of pregnancy loss and all-cause mortality.</p>
<p>
<bold>Results:</bold> Two or more pregnancy losses was associated with long-term all-cause mortality (adjusted hazard ratio (aHR) of 1.10, 95% CI: 1.03&#x2013;1.18). Specifically, more than one spontaneous abortion or stillbirth was associated with long-term all-cause mortality (aHR 1.10, 95% CI: 1.01&#x2013;1.21 and 1.14, 95% CI: 1.04&#x2013;1.25, respectively). When stratified by the presence of cardiovascular disease or diabetes, as well as age at baseline, two or more pregnancy losses in women aged &#x2265;50 diagnosed with cardiovascular disease (aHR 1.32, 95% CI: 1.18&#x2013;1.48) or diabetes (aHR 1.30, 95% CI: 1.06&#x2013;1.60) was associated with all-cause mortality.</p>
<p>
<bold>Conclusion:</bold> Recurrent pregnancy loss, in particular two or more spontaneous abortions and stillbirths were associated with increased risk of all-cause mortality. The associations between recurrent pregnancy losses and all-cause mortality were more pronounced in women aged &#x2265;50 with cardiovascular disease or diabetes at baseline.</p>
</abstract>
<kwd-group>
<kwd>stillbirth</kwd>
<kwd>all-cause mortality</kwd>
<kwd>spontaneous abortion</kwd>
<kwd>pregnancy loss</kwd>
<kwd>maternal health</kwd>
</kwd-group>
<contract-num rid="cn001">2016YFC0900500 2016YFC0900501 2016YFC0900504</contract-num>
<contract-num rid="cn002">088158/Z/09/Z 104085/Z/14/Z</contract-num>
<contract-sponsor id="cn001">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Wellcome Trust<named-content content-type="fundref-id">10.13039/100010269</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Pregnancy loss describing spontaneous abortion or stillbirth is a common obstetric complication that occurs in approximately every 1 in 4 pregnancies (<xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B2">2</xref>). Recurrent pregnancy loss, which affects approximately 1%&#x2013;2% of women is defined as the loss of two or more pregnancies (<xref ref-type="bibr" rid="B3">3</xref>). Spontaneous abortion, also referred to as miscarriage, typically occurs before the 20th week of pregnancy (<xref ref-type="bibr" rid="B4">4</xref>), while stillbirth typically occurs after the 28th week of pregnancy but before or during birth (<xref ref-type="bibr" rid="B5">5</xref>). However, many developed countries continue to utilized the threshold for stillbirth after the 20th or 22nd week of pregnancy (<xref ref-type="bibr" rid="B5">5</xref>,<xref ref-type="bibr" rid="B6">6</xref>). Due to the varying definitions utilized, the prevalence of pregnancy loss varies from 10% to 24% of all clinically-confirmed pregnancies (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>) and approximately one-third of all pregnancies (<xref ref-type="bibr" rid="B9">9</xref>,<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>The influence of pregnancy loss on women may extend beyond the perinatal period. Studies have demonstrated that pregnancy loss may share common risk factors with certain non-communicable diseases (<xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B11">11</xref>). A history of pregnancy loss have been associated with long-term adverse health outcomes, including cardiovascular diseases (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>) and diabetes (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). Furthermore, 10%&#x2013;15% of women with two or more recurrent spontaneous abortion have been diagnosed with antiphospholipid syndrome (APS) (<xref ref-type="bibr" rid="B21">21</xref>,<xref ref-type="bibr" rid="B22">22</xref>). APS may facilitate the development of severe complications, such as venous thromboembolism and stroke, and may therefore greatly impact quality of life and future health (<xref ref-type="bibr" rid="B23">23</xref>,<xref ref-type="bibr" rid="B24">24</xref>). Stillbirth have also been associated with APS (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>The establishment of an association between pregnancy loss and chronic disease suggests that pregnancy loss may have long-lasting implications on overall maternal health. However, little is known about the association between pregnancy loss with the risk of mortality, particularly in low- and middle-income countries, as well as if type of pregnancy loss (e.g., spontaneous abortion and stillbirth) contributes similar risks. To date, no prospective studies conducted in China have assessed the relationship between pregnancy loss and all-cause mortality. Therefore, data from a large-scale prospective cohort will be used to investigate the association between pregnancy loss, including spontaneous abortion and stillbirth, with all-cause-mortality in Chinese women, stratified by the presence of cardiovascular disease and diabetes, as well as sociodemographic and lifestyle factors.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec id="s2-1">
<title>Study Settings and Participants</title>
<p>The present study utilizes data from the China Kadoorie Biobank (CKB), a prospective database, on 302,510 women aged between 30 and 79&#xa0;years that were recruited between 2004 and 2008 from 10 geographically defined regions of China. From an initial cohort of 302,510 women, 2,881 women who reported never having been pregnant and 47 women who had missing data were excluded. The remaining 299,582 women were included in the final analysis. The study design, characteristics of participants, and survey methods of the CKB database have been previously described in detail elsewhere (<xref ref-type="bibr" rid="B26">26</xref>,<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>Briefly, data was collected through an interviewer-administered questionnaire, which included but was not limited to sociodemographic status, lifestyle factors, and personal and family medical history. Personal medical history consists of physician-diagnosed disease status. Respondents were asked: &#x201c;Has a doctor ever told you that you had the following disease?&#x201d; followed by a list of diseases including cardiovascular disease (coronary heart disease, hypertension, and stroke), and diabetes (<xref ref-type="bibr" rid="B27">27</xref>). The definitions of hypertension and diabetes included either the self-reported physician-diagnosed hypertension and diabetes or screening-detected hypertension and diabetes from the physical examination (<xref ref-type="bibr" rid="B28">28</xref>,<xref ref-type="bibr" rid="B29">29</xref>). In the present study, screen-detected hypertension was defined if participants had a measured diastolic blood pressure &#x2265;90&#xa0;mm Hg or systolic blood pressure &#x2265;140&#xa0;mm Hg. For self-reported diabetes, those diagnosed at an age below 30&#xa0;years and currently being treated with insulin were considered as probable cases of type 1 diabetes, and were excluded at baseline enrollment. Screen-detected type 2 diabetes was defined as a random blood glucose level &#x2265;11.1&#xa0;mmol/L with a fasting time &#x3c;8&#xa0;h or a random blood glucose level &#x2265;7.0&#xa0;mmol/L with a fasting time &#x2265;8&#xa0;h or a fasting blood glucose &#x2265;7.0&#xa0;mmol/L. In addition, the median age of these participants at diabetes diagnosis were 54.00 (IQR: 48.00&#x2013;60.00) years. The age of the majority of women at diabetes diagnosis was past the age of reproduction, therefore gestational diabetes may not occur. Factors relating to the reproductive history of women include age at menarche, parity, number of spontaneous abortions and stillbirths, menopausal status, and contraceptives use were also collected. Spontaneous abortion was defined as the loss of pregnancy naturally in the absence of elective medical or surgical measures to terminate the pregnancy. Stillbirth was classified as the death or loss of a fetus before or during delivery. Participants were considered to have pregnancy loss if they experienced spontaneous abortion or stillbirth. Anthropometric measurements: weight, height, and waist-hip circumference, were taken by trained technicians using standard protocol and procedures. Body mass index (BMI) was calculated as weight divided by the square of height (kg/m<sup>2</sup>). The physical activity level was measured by adding up metabolic equivalent tasks (METs) for daily work or leisure activities.</p>
<p>The CKB study was given ethics approval from the University of Oxford, Peking University, the China National Center for Disease Control and Prevention (CDC), and the institutional review boards of the local CDCs in the study areas. All participants have provided written informed consent according to the Declaration of Helsinki for participation (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec id="s2-2">
<title>Follow-Up for Morbidity and Mortality</title>
<p>Death, including the cause of death, and health outcomes was collected periodically from baseline until 31 December 2016, <italic>via</italic> linkages with hospital records, national health registries, and social health insurance databases in the study areas. To minimize loss to follow-up, active follow-up involving visitations to the local community or direct contact with participants was performed annually (<xref ref-type="bibr" rid="B26">26</xref>). Fatal events entered into the CKB follow-up system were coded according to the 10th International Classification of Diseases (<xref ref-type="bibr" rid="B30">30</xref>). All records, including scanned images of original death certificates, were reviewed centrally by study clinicians blinded to baseline information (<xref ref-type="bibr" rid="B26">26</xref>). The outcome in analyses of this study was death from all causes. All participants were prospectively followed up, with a median follow-up of 10.20&#xa0;years.</p>
</sec>
<sec id="s2-3">
<title>Statistical Analysis</title>
<p>Baseline characteristics were presented as means (SD) for continuous variables and as percentages for categorical variables, stratified by the number of spontaneous abortions and stillbirths. Continuous variables were compared using the one-way analysis of variance (ANOVA) test for variables with normal distribution and the Kruskal-Wallis test for variables with skewed distribution. Categorical variables were compared using the chi-square test. The outcome was divided into two categories by the presence of all-cause mortality (yes or no). Cox proportional hazards regression was used to obtain the hazard ratio (HR) and 95% confidence intervals (CI) for the associations between pregnancy loss (total pregnancy loss, spontaneous abortion, and stillbirth) and all-cause mortality. Covariates were selected for inclusion in the models based on prior knowledge and published literature (<xref ref-type="bibr" rid="B13">13</xref>,<xref ref-type="bibr" rid="B19">19</xref>). Models were adjusted for age, region, BMI, education, annual household income, physical activity, smoking, alcohol consumption, cardiovascular disease, diabetes, number of livebirths and, where appropriate, number of spontaneous abortions, and stillbirths.</p>
<p>Subgroup analyses were also performed to obtain the adjusted HR (aHR) and 95% CI for the association between pregnancy loss and all-cause mortality by the presence of cardiovascular disease and diabetes, age (&#x3c;50 or &#x2265;50&#xa0;years), BMI (&#x3c;25 or &#x2265;25&#xa0;kg/m<sup>2</sup>), study region (rural or urban), level of education (elementary school and below, middle and high school, or university and above), annual household income (&#x3c;20,000 or &#x2265;20,000 yuan/year), and MET (&#x3c;17 or &#x2265;17&#xa0;h/day). Statistical significance was set at <italic>p</italic> &#x3c; 0.05 for all statistical analyses and were performed with SAS software package version 9.4 (SAS Institute Inc.).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Characteristics of Study Participants</title>
<p>The characteristics of the participants stratified by the number of pregnancy loss are presented in <xref ref-type="table" rid="T1">Table 1</xref>. Among a total of 299,582 women who reported having ever been pregnant, 41,571 (13.88%) have experienced at least one pregnancy loss, of which 27,156 (9.06%) had a history of spontaneous abortion, and 17,041 (5.69%) had a history of stillbirth. Compared to women who have never had a pregnancy loss, women who have had a history of pregnancy loss were older (50.84 vs. one: 54.42, two or more: 57.86), had lower BMI (23.86 vs. one: 23.65, two or more: 23.32), were more likely to reside in rural regions (53.47% vs. one: 66.58%, two or more: 74.93%), were more likely to have educational levels elementary school and below (54.50% vs. one: 69.21%, two or more: 77.73%), have incomes of less than 2,500 yuan (2.91% vs. one: 3.88%, two or more: 5.35%), had lower MET hours (20.75 vs. one: 19.08%, two or more: 16.97%), were more likely to smoke (4.90% vs. one: 5.94%, two or more: 6.16%) but were less likely to drink alcohol (37.31% vs. one: 31.45%, two or more: 28.01%), and had more livebirth numbers (2.15 vs. one: 2.68, two or more: 3.06).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Baseline characteristics of study participants by number of pregnancy losses (China, 2004&#x2013;2008).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Characteristics</th>
<th colspan="4" align="center">Total number of pregnancy loss<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
<th colspan="4" align="center">Number of spontaneous abortion<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</th>
<th colspan="4" align="center">Number of stillbirth<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
</tr>
<tr>
<th align="center">0</th>
<th align="center">1</th>
<th align="center">&#x2265;2</th>
<th align="center">
<italic>p</italic>-value</th>
<th align="center">0</th>
<th align="center">1</th>
<th align="center">&#x2265;2</th>
<th align="center">
<italic>p</italic>-value</th>
<th align="center">0</th>
<th align="center">1</th>
<th align="center">&#x2265;2</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Total (n)</td>
<td align="center">258,008</td>
<td align="center">30,751</td>
<td align="center">10,820</td>
<td align="center"/>
<td align="center">272,424</td>
<td align="center">21,412</td>
<td align="center">5,744</td>
<td align="center"/>
<td align="center">282,538</td>
<td align="center">13,174</td>
<td align="center">3,867</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Age, mean (SD), year</td>
<td align="center">50.84 (10.24)</td>
<td align="center">54.42 (10.84)</td>
<td align="center">57.86 (11.23)</td>
<td align="center">&#x3c;0.01</td>
<td align="center">51.20 (10.37)</td>
<td align="center">53.75 (10.98)</td>
<td align="center">55.18 (11.60)</td>
<td align="center">&#x3c;0.01</td>
<td align="center">51.06 (10.34)</td>
<td align="center">56.77 (10.47)</td>
<td align="center">62.35 (9.49)</td>
<td align="center">&#x3c;0.01</td>
</tr>
<tr>
<td align="left">BMI, mean (SD), kg/m<sup>2</sup>
</td>
<td align="center">23.86 (3.44)</td>
<td align="center">23.65 (3.52)</td>
<td align="center">23.32 (3.61)</td>
<td align="center">&#x3c;0.01</td>
<td align="center">23.83 (3.45)</td>
<td align="center">23.70 (3.52)</td>
<td align="center">23.64 (3.64)</td>
<td align="center">&#x3c;0.01</td>
<td align="center">23.85 (3.45)</td>
<td align="center">23.40 (3.53)</td>
<td align="center">22.80 (3.56)</td>
<td align="center">&#x3c;0.01</td>
</tr>
<tr>
<td colspan="13" align="left">Socioeconomic factors</td>
</tr>
<tr>
<td align="left">&#x2003;Region, %</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
</tr>
<tr>
<td align="left">&#x2003;Rural</td>
<td align="center">53.47</td>
<td align="center">66.58</td>
<td align="center">74.93</td>
<td align="center"/>
<td align="center">54.22</td>
<td align="center">68.42</td>
<td align="center">72.72</td>
<td align="center"/>
<td align="center">54.73</td>
<td align="center">67.52</td>
<td align="center">77.92</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;Urban</td>
<td align="center">46.53</td>
<td align="center">33.42</td>
<td align="center">25.07</td>
<td align="center"/>
<td align="center">45.78</td>
<td align="center">31.58</td>
<td align="center">27.28</td>
<td align="center"/>
<td align="center">45.27</td>
<td align="center">32.48</td>
<td align="center">22.08</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Level of highest education, %</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
</tr>
<tr>
<td align="left">&#x2003;Elementary school and below</td>
<td align="center">54.50</td>
<td align="center">69.21</td>
<td align="center">77.73</td>
<td align="center"/>
<td align="center">55.72</td>
<td align="center">67.56</td>
<td align="center">70.28</td>
<td align="center"/>
<td align="center">55.53</td>
<td align="center">75.6</td>
<td align="center">88.98</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;Middle and high school</td>
<td align="center">40.79</td>
<td align="center">28.45</td>
<td align="center">20.84</td>
<td align="center"/>
<td align="center">39.74</td>
<td align="center">29.89</td>
<td align="center">27.58</td>
<td align="center"/>
<td align="center">39.94</td>
<td align="center">22.78</td>
<td align="center">10.68</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;University and above</td>
<td align="center">4.71</td>
<td align="center">2.33</td>
<td align="center">1.43</td>
<td align="center"/>
<td align="center">4.54</td>
<td align="center">2.55</td>
<td align="center">2.14</td>
<td align="center"/>
<td align="center">4.53</td>
<td align="center">1.62</td>
<td align="center">0.34</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;Annual income, % (yuan/year)</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3c;2,500 yuan</td>
<td align="center">2.91</td>
<td align="center">3.88</td>
<td align="center">5.35</td>
<td align="center"/>
<td align="center">2.99</td>
<td align="center">3.92</td>
<td align="center">4.94</td>
<td align="center"/>
<td align="center">3.01</td>
<td align="center">4.09</td>
<td align="center">6.36</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;2.500&#x2013;4,999 yuan</td>
<td align="center">6.64</td>
<td align="center">8.92</td>
<td align="center">11.2</td>
<td align="center"/>
<td align="center">6.76</td>
<td align="center">9.42</td>
<td align="center">11.35</td>
<td align="center"/>
<td align="center">6.9</td>
<td align="center">8.47</td>
<td align="center">12.02</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;5,000&#x2013;9,999 yuan</td>
<td align="center">19.19</td>
<td align="center">21.89</td>
<td align="center">22.35</td>
<td align="center"/>
<td align="center">19.15</td>
<td align="center">23.67</td>
<td align="center">24.76</td>
<td align="center"/>
<td align="center">19.63</td>
<td align="center">18.59</td>
<td align="center">19.39</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;10,000&#x2013;19,999 yuan</td>
<td align="center">29.33</td>
<td align="center">30.69</td>
<td align="center">31.41</td>
<td align="center"/>
<td align="center">29.42</td>
<td align="center">30.56</td>
<td align="center">31.53</td>
<td align="center"/>
<td align="center">29.45</td>
<td align="center">30.87</td>
<td align="center">31.52</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;20,000&#x2013;34,999 yuan</td>
<td align="center">24.76</td>
<td align="center">21.51</td>
<td align="center">19.67</td>
<td align="center"/>
<td align="center">24.72</td>
<td align="center">20.02</td>
<td align="center">17.39</td>
<td align="center"/>
<td align="center">24.27</td>
<td align="center">24.46</td>
<td align="center">21.39</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;35,000 yuan</td>
<td align="center">17.17</td>
<td align="center">13.12</td>
<td align="center">10.02</td>
<td align="center"/>
<td align="center">16.95</td>
<td align="center">12.41</td>
<td align="center">10.03</td>
<td align="center"/>
<td align="center">16.73</td>
<td align="center">13.51</td>
<td align="center">9.31</td>
<td align="center"/>
</tr>
<tr>
<td colspan="13" align="left">Lifestyle factors</td>
</tr>
<tr>
<td align="left">&#x2003;Physical activity, mean (SD), (MET hours/day)</td>
<td align="center">20.75 (12.85)</td>
<td align="center">19.08 (12.19)</td>
<td align="center">16.97 (11.37)</td>
<td align="center">&#x3c;0.01</td>
<td align="center">20.55 (12.80)</td>
<td align="center">19.52 (12.44)</td>
<td align="center">18.53 (11.91)</td>
<td align="center">&#x3c;0.01</td>
<td align="center">20.66 (12.82)</td>
<td align="center">17.78 (11.47)</td>
<td align="center">14.34 (9.77)</td>
<td align="center">&#x3c;0.01</td>
</tr>
<tr>
<td align="left">&#x2003;Ever regular smoker, %</td>
<td align="center">4.90</td>
<td align="center">5.94</td>
<td align="center">6.16</td>
<td align="center">&#x3c;0.01</td>
<td align="center">4.96</td>
<td align="center">5.81</td>
<td align="center">6.53</td>
<td align="center">&#x3c;0.01</td>
<td align="center">4.99</td>
<td align="center">6.19</td>
<td align="center">5.74</td>
<td align="center">&#x3c;0.01</td>
</tr>
<tr>
<td align="left">&#x2003;Ever regular alcohol drinker, %</td>
<td align="center">37.31</td>
<td align="center">31.45</td>
<td align="center">28.01</td>
<td align="center">&#x3c;0.01</td>
<td align="center">36.51</td>
<td align="center">34.87</td>
<td align="center">35.2</td>
<td align="center">&#x3c;0.01</td>
<td align="center">37.21</td>
<td align="center">23.88</td>
<td align="center">17.64</td>
<td align="center">&#x3c;0.01</td>
</tr>
<tr>
<td colspan="13" align="left">Reproductive history</td>
</tr>
<tr>
<td align="left">&#x2003;Number of livebirths, mean (SD)</td>
<td align="center">2.15 (1.29)</td>
<td align="center">2.68 (1.46)</td>
<td align="center">3.06 (1.64)</td>
<td align="center">&#x3c;0.01</td>
<td align="center">2.18 (1.31)</td>
<td align="center">2.71 (1.51)</td>
<td align="center">2.92 (1.74)</td>
<td align="center">&#x3c;0.01</td>
<td align="center">2.20 (1.33)</td>
<td align="center">2.79 (1.44)</td>
<td align="center">3.27 (1.49)</td>
<td align="center">&#x3c;0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>a</label>
<p>Missing value &#x3d; 3.</p>
</fn>
<fn id="Tfn2">
<label>b</label>
<p>Missing value &#x3d; 2.</p>
</fn>
<fn>
<p>BMI, body mass index; MET, metabolic equivalent task.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Pregnancy Loss and All-Cause Mortality</title>
<p>The association between pregnancy loss with all-cause mortality is presented in <xref ref-type="table" rid="T2">Table 2</xref>
<italic>.</italic> Compared to women without pregnancy loss, women with a history of two or more pregnancy loss have higher all-cause mortality: aHR 1.10, 95% CI 1.03&#x2013;1.18. Similarly, women with more than one spontaneous abortion or stillbirth have higher all-cause mortality: aHR 1.10, 95% CI 1.01&#x2013;1.21 for two or more spontaneous abortions, and aHR 1.14, 95% CI 1.04&#x2013;1.25 for two or more stillbirths, respectively. However, the associations were not statistically significant for women with one pregnancy loss, spontaneous abortion, or stillbirth.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Cox proportional hazard ratios (95% confidence intervals) for all-cause mortality by pregnancy loss number (China, 2004&#x2013;2008 for baseline characteristics and 2016 for all-cause mortality).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="left">Number of participants</th>
<th align="left">Number of deaths</th>
<th align="left">HR (95% CI)<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</th>
<th align="left">
<italic>p</italic> for trend</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Total pregnancy loss</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">0.02</td>
</tr>
<tr>
<td align="left">&#x2003;0</td>
<td align="center">258,008</td>
<td align="center">10,435</td>
<td align="center">1</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;1</td>
<td align="center">30,751</td>
<td align="center">1905</td>
<td align="center">1.01 (0.96, 1.06)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;2</td>
<td align="center">10,820</td>
<td align="center">1,094</td>
<td align="center">1.10 (1.03, 1.18)&#x2a;&#x2a;</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Spontaneous abortion</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">0.08</td>
</tr>
<tr>
<td align="left">&#x2003;0</td>
<td align="center">272,424</td>
<td align="center">11,631</td>
<td align="center">1</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;1</td>
<td align="center">21,412</td>
<td align="center">1,298</td>
<td align="center">0.99 (0.93, 1.05)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;2</td>
<td align="center">5,744</td>
<td align="center">505</td>
<td align="center">1.10 (1.01, 1.21)&#x2a;</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Stillbirth</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">0.03</td>
</tr>
<tr>
<td align="left">&#x2003;0</td>
<td align="center">282,538</td>
<td align="center">11,940</td>
<td align="center">1</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;1</td>
<td align="center">13,174</td>
<td align="center">967</td>
<td align="center">1.02 (0.95, 1.09)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;2</td>
<td align="center">3,867</td>
<td align="center">527</td>
<td align="center">1.14 (1.04, 1.25)&#x2a;&#x2a;</td>
<td align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn3">
<label>
<sup>a</sup>
</label>
<p>Adjusted for age, region, BMI, level of highest education, annual household income, physical activity, smoking, alcohol consumption, history of cardiovascular disease, history of diabetes, and number of livebirths.</p>
</fn>
<fn>
<p>Analyses for spontaneous abortion, and stillbirth were additionally adjusted for number of spontaneous abortions, and stillbirths, as appropriate.</p>
</fn>
<fn>
<p>&#x2a;<italic>p</italic> &#x3c; 0.05.</p>
</fn>
<fn>
<p>&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Pregnancy Loss and All-Cause Mortality, Stratified by Age, as Well as the Presence of Cardiovascular Diseases or Diabetes</title>
<p>The associations between pregnancy loss and all-cause mortality stratified by age as well as the presence of cardiovascular disease or diabetes are presented in <xref ref-type="table" rid="T3">Table 3</xref>. Compared to women aged &#x3c;50 without a history of pregnancy loss and cardiovascular disease, women aged &#x2265;50 with a history of two or more pregnancy loss and cardiovascular disease had higher all-cause mortality: aHR 1.32, 95% CI 1.18&#x2013;1.48. Women aged &#x2265;50 with a history of two or more pregnancy loss and diabetes also had higher all-cause mortality: aHR 1.30, 95% CI 1.06&#x2013;1.60.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Cox proportional hazard ratios (95% confidence intervals) for all-cause mortality by pregnancy loss number, stratified by age as well as the presence of cardiovascular disease or diabetes (China, 2004&#x2013;2008 for baseline characteristics and 2016 for all-cause mortality).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center"/>
<th colspan="4" align="center">The presence of cardiovascular disease</th>
<th align="center"/>
<th colspan="4" align="center">The presence of diabetes</th>
</tr>
<tr>
<th align="center">Number of participants</th>
<th align="center">Number of deaths</th>
<th align="center">HR (95% CI)<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref>
</th>
<th align="center">
<italic>p</italic> for trend</th>
<th align="center"/>
<th align="center">Number of participants</th>
<th align="center">Number of deaths</th>
<th align="center">HR (95% CI)<xref ref-type="table-fn" rid="Tfn5">
<sup>b</sup>
</xref>
</th>
<th align="center">
<italic>p</italic> for trend</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Without cardiovascular disease &#x26; age &#x3c;50</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="left">Without diabetes &#x26; age &#x3c;50</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="left">Total pregnancy loss</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.24</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.08</td>
</tr>
<tr>
<td align="left">&#x2003;0</td>
<td align="center">120,383</td>
<td align="center">1,339</td>
<td align="center">1</td>
<td align="center"/>
<td align="center"/>
<td align="center">125,410</td>
<td align="center">1,447</td>
<td align="center">1</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;1</td>
<td align="center">10,266</td>
<td align="center">138</td>
<td align="center">1.05 (0.88, 1.25)</td>
<td align="center"/>
<td align="center"/>
<td align="center">10,747</td>
<td align="center">164</td>
<td align="center">1.12 (0.95, 1.32)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;2</td>
<td align="center">2,543</td>
<td align="center">36</td>
<td align="center">1.06 (0.76, 1.48)</td>
<td align="center"/>
<td align="center"/>
<td align="center">2,688</td>
<td align="center">42</td>
<td align="center">1.10 (0.80, 1.49)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Spontaneous abortion</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.71</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.17</td>
</tr>
<tr>
<td align="left">&#x2003;0</td>
<td align="center">123,689</td>
<td align="center">1,388</td>
<td align="center">1</td>
<td align="center"/>
<td align="center"/>
<td align="center">128,879</td>
<td align="center">1,499</td>
<td align="center">1</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;1</td>
<td align="center">7,684</td>
<td align="center">101</td>
<td align="center">1.02 (0.83, 1.25)</td>
<td align="center"/>
<td align="center"/>
<td align="center">8,036</td>
<td align="center">125</td>
<td align="center">1.14 (0.95, 1.37)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;2</td>
<td align="center">1819</td>
<td align="center">24</td>
<td align="center">0.98 (0.65, 1.47)</td>
<td align="center"/>
<td align="center"/>
<td align="center">1930</td>
<td align="center">29</td>
<td align="center">1.05 (0.72, 1.51)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Stillbirth</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.10</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.25</td>
</tr>
<tr>
<td align="left">&#x2003;0</td>
<td align="center">129,437</td>
<td align="center">1,457</td>
<td align="center">1</td>
<td align="center"/>
<td align="center"/>
<td align="center">134,908</td>
<td align="center">1,595</td>
<td align="center">1</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;1</td>
<td align="center">3,324</td>
<td align="center">47</td>
<td align="center">1.08 (0.81, 1.45)</td>
<td align="center"/>
<td align="center"/>
<td align="center">3,485</td>
<td align="center">48</td>
<td align="center">0.98 (0.74, 1.31)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;2</td>
<td align="center">431</td>
<td align="center">9</td>
<td align="center">1.51 (0.79, 2.92)</td>
<td align="center"/>
<td align="center"/>
<td align="center">452</td>
<td align="center">10</td>
<td align="center">1.51 (0.81, 2.81)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">With cardiovascular disease &#x26; age &#x2265;50</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="left">With diabetes &#x26; age &#x2265;50</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="left">Total pregnancy loss</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
</tr>
<tr>
<td align="left">&#x2003;0</td>
<td align="center">28,735</td>
<td align="center">2,885</td>
<td align="center">1</td>
<td align="center"/>
<td align="center"/>
<td align="center">7,163</td>
<td align="center">1,112</td>
<td align="center">1</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;1</td>
<td align="center">4,683</td>
<td align="center">589</td>
<td align="center">1.05 (0.96, 1.15)</td>
<td align="center"/>
<td align="center"/>
<td align="center">1,102</td>
<td align="center">213</td>
<td align="center">1.15 (0.99, 1.33)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;2</td>
<td align="center">1947</td>
<td align="center">350</td>
<td align="center">1.32 (1.18, 1.48)&#x2a;&#x2a;</td>
<td align="center"/>
<td align="center"/>
<td align="center">405</td>
<td align="center">102</td>
<td align="center">1.30 (1.06, 1.60)&#x2a;</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Spontaneous abortion</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">0.24</td>
</tr>
<tr>
<td align="left">&#x2003;0</td>
<td align="center">31,489</td>
<td align="center">3,298</td>
<td align="center">1</td>
<td align="center"/>
<td align="center"/>
<td align="center">7,765</td>
<td align="center">1,253</td>
<td align="center">1</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;1</td>
<td align="center">3,033</td>
<td align="center">380</td>
<td align="center">1.00 (0.90, 1.11)</td>
<td align="center"/>
<td align="center"/>
<td align="center">715</td>
<td align="center">131</td>
<td align="center">0.99 (0.82, 1.19)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;2</td>
<td align="center">843</td>
<td align="center">146</td>
<td align="center">1.27 (1.07, 1.50)&#x2a;&#x2a;</td>
<td align="center"/>
<td align="center"/>
<td align="center">190</td>
<td align="center">43</td>
<td align="center">1.16 (0.85, 1.58)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Stillbirth</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">&#x3c;0.01</td>
</tr>
<tr>
<td align="left">&#x2003;0</td>
<td align="center">32,090</td>
<td align="center">3,315</td>
<td align="center">1</td>
<td align="center"/>
<td align="center"/>
<td align="center">7,954</td>
<td align="center">1,258</td>
<td align="center">1</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;1</td>
<td align="center">2,369</td>
<td align="center">324</td>
<td align="center">1.09 (0.97, 1.22)</td>
<td align="center"/>
<td align="center"/>
<td align="center">549</td>
<td align="center">118</td>
<td align="center">1.24 (1.03, 1.51)&#x2a;</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;2</td>
<td align="center">906</td>
<td align="center">185</td>
<td align="center">1.39 (1.20, 1.62)&#x2a;&#x2a;</td>
<td align="center"/>
<td align="center"/>
<td align="center">167</td>
<td align="center">51</td>
<td align="center">1.41 (1.06, 1.87)&#x2a;</td>
<td align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn4">
<label>a</label>
<p>Adjusted for region, BMI, level of highest education, annual household income, physical activity, smoking, alcohol consumption, history of diabetes, and number of livebirths.</p>
</fn>
<fn id="Tfn5">
<label>
<sup>b</sup>
</label>
<p>Adjusted for region, BMI, level of highest education, annual household income, physical activity, smoking, alcohol consumption, history of cardiovascular disease, and number of livebirths.</p>
</fn>
<fn>
<p>Analyses for spontaneous abortion, and stillbirth were additionally adjusted for number of spontaneous abortions, and stillbirths, as appropriate.</p>
</fn>
<fn>
<p>&#x2a;<italic>p</italic> &#x3c; 0.05.</p>
</fn>
<fn>
<p>&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Women aged &#x2265;50 with a history of two or more spontaneous abortion and cardiovascular disease had higher all-cause mortality: aHR 1.27, 95% CI 1.07&#x2013;1.50. Similarly, women aged &#x2265;50 with a history of two or more stillbirth and cardiovascular disease had higher all-cause mortality: aHR 1.39, 95% CI 1.20&#x2013;1.62. Women aged &#x2265;50 with a history of stillbirth and diabetes also had higher all-cause mortality: aHR 1.24, 95% CI 1.03&#x2013;1.51 and 1.41, 95% CI 1.06&#x2013;1.87 for one and two or more stillbirths, respectively.</p>
<p>Compared to women aged &#x2265;50 with a history of pregnancy loss (total pregnancy loss, spontaneous abortion, and stillbirth) and cardiovascular disease, women aged &#x3c;50 with a history of pregnancy loss (total pregnancy loss, spontaneous abortion, and stillbirth) and without cardiovascular disease were not significantly associated with all-cause mortality. The associations were also not significant for women aged &#x3c;50 with a history of pregnancy loss (total pregnancy loss, spontaneous abortion, and stillbirth) and without diabetes.</p>
</sec>
<sec id="s3-4">
<title>Pregnancy Loss and All-Cause Mortality, Stratified by Baseline Characteristics</title>
<p>The associations between each additional pregnancy loss and all-cause mortality stratified by age, BMI, study region, educational level, annual income and MET hours are presented in <xref ref-type="fig" rid="F1">Figure 1</xref>. Of statistical significance was the association between pregnancy loss and all-cause mortality in women between the ages &#x3c;50 and &#x2265;50&#xa0;years old (&#x3c;50&#xa0;years old: aHR 1.12, 95% CI 1.03&#x2013;1.21; &#x2265;50&#xa0;years old: aHR 1.15, 95% CI 1.12&#x2013;1.19), whose BMI was less than 25 (aHR 1.05, 95% 1.01&#x2013;1.09), who resided in rural regions (aHR 1.06, 95% CI 1.02&#x2013;1.09), with educational levels elementary school and below (aHR 1.04, 95% 1.01&#x2013;1.07), who had annual incomes of less than 10,000 yuan (aHR 1.04, 95% CI 1.01&#x2013;1.08), and who had MET hours of less than 17 per day (aHR 1.04, 95% CI 1.01&#x2013;1.08). However, the association between pregnancy loss and all-cause mortality in women whose BMI was &#x2265;25, who resided in urban regions, who had educational levels middle and high school or university and above, who had annual income of more than 20,000 yuan, and who had MET hours &#x2265;17 per day were not statistically significant.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Cox proportional hazard ratios (95% confidence intervals) for all-cause mortality by pregnancy loss number, stratified by baseline characteristics (China, 2004&#x2013;2008 for baseline characteristics and 2016 for all-cause mortality). Adjustments are as in <xref ref-type="table" rid="T2">Table 2</xref> other than the stratified variable. Analyses for pregnancy loss, spontaneous abortion, and stillbirth are among women with at least one pregnancy loss, spontaneous abortion, and, stillbirth. BMI, body mass index; MET, metabolic equivalent task. &#x2a;<italic>p</italic> &#x3c; 0.05. &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01.</p>
</caption>
<graphic xlink:href="ijph-68-1605429-g001.tif"/>
</fig>
<p>The association between stillbirth with the risk of all-cause mortality in the subgroup analyses was broadly similar to that of pregnancy loss in general, while the association between spontaneous abortion with the risk of all-cause mortality in the subgroup analyses was largely non-significant.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In this cohort of Chinese women, pregnancy loss, in particular two or more spontaneous abortions and stillbirths, was associated with higher all-cause mortality. The associations between recurrent pregnancy losses and all-cause mortality were more pronounced in women aged above 50 with cardiovascular disease or diabetes.</p>
<p>Similar to our findings, a Danish register-based study on 1,001,266 women reported an increased risk of long-term mortality among women with a history of spontaneous abortion. The study also reported that each additional spontaneous abortion was associated with an increased risk of mortality (<xref ref-type="bibr" rid="B31">31</xref>). A recent finding from the Nurses&#x2019; Health Study II conducted in the United States on 101,681 women also reported an increased risk of premature mortality, particularly due to death from cardiovascular disease (<xref ref-type="bibr" rid="B32">32</xref>) in women with a history of spontaneous abortion. Furthermore, stillbirth and spontaneous abortion have been associated with APS (<xref ref-type="bibr" rid="B21">21</xref>,<xref ref-type="bibr" rid="B22">22</xref>,<xref ref-type="bibr" rid="B25">25</xref>), a condition in which the body produces antiphospholipid antibodies that binds to phospholipids or phospholipid-binding proteins within cell membranes, activating endothelial cells, monocytes, platelets, complements, and coagulation regulators that may induce fetal death (<xref ref-type="bibr" rid="B23">23</xref>,<xref ref-type="bibr" rid="B24">24</xref>). APS has been associated with venous thromboembolism, stroke, transient ischemic attack, heart valve disease, and coronary artery disease (<xref ref-type="bibr" rid="B23">23</xref>,<xref ref-type="bibr" rid="B24">24</xref>), which may further contribute to all-cause mortality. However, a cohort study on 54,652 Japanese women aged 40&#x2013;79&#xa0;years found that women with a history of two or more pregnancy losses had lower risk of mortality from cardiovascular disease compared to those with no history of pregnancy loss (<xref ref-type="bibr" rid="B16">16</xref>), while a cohort study on 267,400 Chinese female textile workers reported no significant associations observed between spontaneous abortion and stillbirth with cardiovascular disease-associated mortality (<xref ref-type="bibr" rid="B33">33</xref>). The reasons for the discrepant results may due to the differences in study population, sample size, study design, and differences in confounding factors adjusted across studies.</p>
<p>In this study, considering the effect of cardiovascular disease and diabetes on the association between pregnancy loss and all-cause-mortality, we performed subgroup analyses stratified by age and the presence of cardiovascular disease and diabetes. The result demonstrated the associations were more pronounced in older women with cardiovascular disease or diabetes at baseline. Our findings suggest that recurrent pregnancy loss may be an early marker for all-cause mortality in the presence of cardiovascular disease or diabetes among women aged above 50. Consistent with our findings, published research have indicated that women with a history of pregnancy loss are at greater risk of cardiovascular risk factors high blood pressure and type 2 diabetes later in a woman&#x2019;s life (<xref ref-type="bibr" rid="B34">34</xref>), which is associated with higher risk of mortality (<xref ref-type="bibr" rid="B35">35</xref>). Given that metabolic processes deteriorate with age, the effect of age on the associations is unsurprising. Another study conducted using the CKB dataset also demonstrated that a history of pregnancy loss was associated with higher risk of developing cardiovascular disease in women later on in life, with a stronger relationship observed among women with recurrent pregnancy loss(<xref ref-type="bibr" rid="B13">13</xref>). A cohort study based on the European Prospective Investigation into Cancer and Nutrition (EPIC) demonstrated a 30% higher risk of new onset of diabetes in women with a history of spontaneous abortion, and a two-fold increased risk in those with recurrent spontaneous abortion (<xref ref-type="bibr" rid="B17">17</xref>). Similarly, two other studies in the Chinese populations reported similar findings (<xref ref-type="bibr" rid="B18">18</xref>,<xref ref-type="bibr" rid="B19">19</xref>). A study on 15,404 women found that stillbirth was significantly associated with a two-fold increased risk of future diabetes (<xref ref-type="bibr" rid="B20">20</xref>) while another reported that women with a history of &#x2265;3 spontaneous abortions had 2.11 times higher risk of developing diabetes later on in life (<xref ref-type="bibr" rid="B18">18</xref>). Similarly, another study utilizing the CKB database reported similar findings, and that the HRs increased with increased number of pregnancy loss (<xref ref-type="bibr" rid="B19">19</xref>). Further prospective studies are warranted to longitudinally investigate whether pregnancy loss is associated with cardiovascular-related mortality or diabetes-related mortality.</p>
<p>Both high blood pressure and type 2 diabetes are known contributors to endothelial dysfunction (<xref ref-type="bibr" rid="B36">36</xref>). Endothelial dysfunction, a type of coronary artery disease, can contribute to both pregnancy loss and maternal mortality (<xref ref-type="bibr" rid="B37">37</xref>). Evidence suggests that maternal endothelial dysfunction prior to pregnancy may negatively affect embryo implantation and impair the function of the placenta during pregnancy, causing spontaneous abortion (<xref ref-type="bibr" rid="B37">37</xref>). In addition, endothelial dysfunction, initiates and promotes the progression of atherosclerosis, and can therefore, also contribute to the development of cardiovascular disease (<xref ref-type="bibr" rid="B38">38</xref>,<xref ref-type="bibr" rid="B39">39</xref>) and premature maternal mortality (<xref ref-type="bibr" rid="B40">40</xref>). Although the pathological mechanisms between pregnancy loss and diabetes remains unknown, the pathological mechanism is postulated to be similar as to cardiovascular diseases as suggested by current evidence (<xref ref-type="bibr" rid="B19">19</xref>,<xref ref-type="bibr" rid="B41">41</xref>,<xref ref-type="bibr" rid="B42">42</xref>). Hence, further research is warranted to better understand the underlying mechanisms linking pregnancy loss with all-cause mortality.</p>
<p>In our stratified analysis, we found that the association between pregnancy loss and all-cause mortality was more pronounced in older women, women who lived in rural areas, had lower MET hours, lower educational attainment, and/or lower household income. Findings were broadly similar in the direction and magnitude of the effects for the different types of pregnancy loss. This may be explained by the greater disease burden in the elderly, and the relatively lower healthcare quality in the rural area, which has also been associated with a higher risk of pregnancy complications and mortality (<xref ref-type="bibr" rid="B43">43</xref>). There is growing evidence that physical activity during pregnancy is beneficial for both the woman and fetus, and women who exercised during pregnancy have lower risk of pregnancy loss (<xref ref-type="bibr" rid="B44">44</xref>). In addition, previous studies have also reported that women with lower socioeconomic status and educational achievement displayed greater risk of pregnancy loss (<xref ref-type="bibr" rid="B45">45</xref>).</p>
<sec id="s4-1">
<title>Strengths and Limitations</title>
<p>This study is based on a large-scale prospective cohort which included women from 10 diverse regions of China, ensuring the generalizability of our findings to the Chinese population. The baseline survey also covered a comprehensive range of demographic, socioeconomic, and lifestyle information, allowing us to adjust for many confounders. In addition, data for this study was collected <italic>via</italic> standardized approaches with stringent quality control, making our results reliable and reproducible.</p>
<p>However, there are still several limitations that should be noted. First, the pregnancy history was self-reported, which may result in some certain recall bias. Second, although we have performed stratification analysis to identify associated factors, we were not able to include all the conditions or risk factors for pregnancy loss before or during pregnancies due to the lack of data. Third, although it is most likely that the majority of women developed diabetes after the age of reproduction, a small number of women included in our study may have gestational diabetes. Future research is needed to explore the potential effect of gestational diabetes on the association between pregnancy loss and all-cause mortality. Finally, residual confounding from other known or unknown risk factors may still exist despite a wide range of potential confounders taken into account for analysis.</p>
</sec>
<sec id="s4-2">
<title>Conclusion</title>
<p>In conclusion, we found that recurrent spontaneous abortion and stillbirth, was associated with an increased risk of all-cause mortality in Chinese women, particularly among older women with cardiovascular disease or diabetes at baseline. Future studies are needed to further elucidate the mechanisms underlying these relationships to prevent the onset of long-term adverse health outcomes in women.</p>
</sec>
</sec>
</body>
<back>
<sec id="s5">
<title>Ethics Statement</title>
<p>Ethical approval of the CKB study was obtained from the University of Oxford, Peking University, China National Center for Disease Control and Prevention (CDC), and the institutional review boards at the local CDCs of the 10 regions before the start of the survey. Written informed consent was obtained from all participants. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s6">
<title>Author Contributions</title>
<p>KT directed and designed the research. SH and YX conducted the data analyses and wrote the draft of the manuscript. KT, LJ, SH, and SZ contributed to the interpretation of the results. LJ, SH, JH, and KT revised the manuscript. All authors read and approved the submitted version.</p>
</sec>
<sec id="s7">
<title>Funding</title>
<p>This work was supported by the National Key Research and Development Program of China (2016YFC0900500, 2016YFC0900501, and 2016YFC0900504), and Wellcome Trust in the UK (088158/Z/09/Z and 104085/Z/14/Z). The CKB baseline survey and the first re-survey were supported by a grant from the Kadoorie Charitable Foundation in Hong Kong.</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of Interest</title>
<p>The authors declare that they do not have any conflicts of interest.</p>
</sec>
<ack>
<p>We are grateful for the Clinical Trial Service and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK for providing the data.</p>
</ack>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nybo Andersen</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Wohlfahrt</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Christens</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Olsen</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Melbye</surname>
<given-names>M</given-names>
</name>
</person-group>. <article-title>Maternal Age and Fetal Loss: Population Based Register Linkage Study</article-title>. <source>BMJ</source> (<year>2000</year>) <volume>320</volume>:<fpage>1708</fpage>&#x2013;<lpage>12</lpage>. <pub-id pub-id-type="doi">10.1136/bmj.320.7251.1708</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal">
<collab>Practice Committee of the American Society for Reproductive Medicine</collab>. <article-title>Evaluation and Treatment of Recurrent Pregnancy Loss: a Committee Opinion</article-title>. <source>Fertil Steril</source> (<year>2012</year>) <volume>98</volume>:<fpage>1103</fpage>&#x2013;<lpage>11</lpage>. <pub-id pub-id-type="doi">10.1016/j.fertnstert.2012.06.048</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal">
<collab>The ESHRE Guideline Group on RPL</collab>
<person-group person-group-type="author">
<name>
<surname>Bender Atik</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Christiansen</surname>
<given-names>OB</given-names>
</name>
<name>
<surname>Elson</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Kolte</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Lewis</surname>
<given-names>S</given-names>
</name>
<etal/>
</person-group> <article-title>ESHRE Guideline: Recurrent Pregnancy Loss</article-title>. <source>Hum Reprod Open</source> (<year>2018</year>) <volume>2018</volume>:<fpage>hoy004</fpage>. <pub-id pub-id-type="doi">10.1093/hropen/hoy004</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Griebel</surname>
<given-names>CP</given-names>
</name>
<name>
<surname>Halvorsen</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Golemon</surname>
<given-names>TB</given-names>
</name>
<name>
<surname>Day</surname>
<given-names>AA</given-names>
</name>
</person-group>. <article-title>Management of Spontaneous Abortion</article-title>. <source>Am Fam Physician</source> (<year>2005</year>) <volume>72</volume>:<fpage>1243</fpage>&#x2013;<lpage>50</lpage>.</citation>
</ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lawn</surname>
<given-names>JE</given-names>
</name>
<name>
<surname>Blencowe</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Waiswa</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Amouzou</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Mathers</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Hogan</surname>
<given-names>D</given-names>
</name>
<etal/>
</person-group> <article-title>Stillbirths: Rates, Risk Factors, and Acceleration towards 2030</article-title>. <source>Lancet</source> (<year>2016</year>) <volume>387</volume>:<fpage>587</fpage>&#x2013;<lpage>603</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(15)00837-5</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Silver</surname>
<given-names>RM</given-names>
</name>
<name>
<surname>Varner</surname>
<given-names>MW</given-names>
</name>
<name>
<surname>Reddy</surname>
<given-names>U</given-names>
</name>
<name>
<surname>Goldenberg</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Pinar</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Conway</surname>
<given-names>D</given-names>
</name>
<etal/>
</person-group> <article-title>Work-up of Stillbirth: a Review of the Evidence</article-title>. <source>Am J Obstet Gynecol</source> (<year>2007</year>) <volume>196</volume>:<fpage>433</fpage>&#x2013;<lpage>44</lpage>. <pub-id pub-id-type="doi">10.1016/j.ajog.2006.11.041</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Everett</surname>
<given-names>C</given-names>
</name>
</person-group>. <article-title>Incidence and Outcome of Bleeding before the 20th Week of Pregnancy: Prospective Study from General Practice</article-title>. <source>BMJ</source> (<year>1997</year>) <volume>315</volume>:<fpage>32</fpage>&#x2013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1136/bmj.315.7099.32</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Barnard</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Neilson</surname>
<given-names>JP</given-names>
</name>
<name>
<surname>Hickey</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Vazquez</surname>
<given-names>JC</given-names>
</name>
<name>
<surname>Dou</surname>
<given-names>L</given-names>
</name>
</person-group>. <article-title>Medical Treatments for Incomplete Miscarriage</article-title>. <source>Cochrane Database Syst Rev</source> (<year>2017</year>) <volume>1</volume>:<fpage>CD007223</fpage>. <pub-id pub-id-type="doi">10.1002/14651858.CD007223.pub4</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Guang</surname>
<given-names>W</given-names>
</name>
<name>
<surname>French</surname>
<given-names>J</given-names>
</name>
</person-group>. <article-title>Conception, Early Pregnancy Loss, and Time to Clinical Pregnancy: a Population-Based Prospective Study</article-title>. <source>Fertil Steril</source> (<year>2003</year>) <volume>79</volume>:<fpage>577</fpage>&#x2013;<lpage>84</lpage>. <pub-id pub-id-type="doi">10.1016/s0015-0282(02)04694-0</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Garc&#x131;&#x301;a-Engu&#x131;&#x301;danos</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Calle</surname>
<given-names>ME</given-names>
</name>
<name>
<surname>Valero</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Luna</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Dom&#xed;nguez-Rojas</surname>
<given-names>V</given-names>
</name>
</person-group>. <article-title>Risk Factors in Miscarriage: a Review</article-title>. <source>Eur J Obstet Gynecol Reprod Biol</source> (<year>2002</year>) <volume>102</volume>:<fpage>111</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1016/S0301-2115(01)00613-3</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Feodor Nilsson</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Andersen</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Strandberg-Larsen</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Nybo Andersen</surname>
<given-names>AM</given-names>
</name>
</person-group>. <article-title>Risk Factors for Miscarriage from a Prevention Perspective: a Nationwide Follow-Up Study</article-title>. <source>Int J Obstet Gynaecol</source> (<year>2014</year>) <volume>121</volume>:<fpage>1375</fpage>&#x2013;<lpage>84</lpage>. <pub-id pub-id-type="doi">10.1111/1471-0528.12694</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Oliver-Williams</surname>
<given-names>CT</given-names>
</name>
<name>
<surname>Heydon</surname>
<given-names>EE</given-names>
</name>
<name>
<surname>Smith</surname>
<given-names>GCS</given-names>
</name>
<name>
<surname>Wood</surname>
<given-names>AM</given-names>
</name>
</person-group>. <article-title>Miscarriage and Future Maternal Cardiovascular Disease: a Systematic Review and Meta-Analysis</article-title>. <source>Heart</source> (<year>2013</year>) <volume>99</volume>:<fpage>1636</fpage>&#x2013;<lpage>44</lpage>. <pub-id pub-id-type="doi">10.1136/heartjnl-2012-303237</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Peters</surname>
<given-names>SAE</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Bian</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Tian</surname>
<given-names>X</given-names>
</name>
<etal/>
</person-group> <article-title>Pregnancy, Pregnancy Loss, and the Risk of Cardiovascular Disease in Chinese Women: Findings from the China Kadoorie Biobank</article-title>. <source>BMC Med</source> (<year>2017</year>) <volume>15</volume>:<fpage>148</fpage>. <pub-id pub-id-type="doi">10.1186/s12916-017-0912-7</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ranthe</surname>
<given-names>MF</given-names>
</name>
<name>
<surname>Andersen</surname>
<given-names>EAW</given-names>
</name>
<name>
<surname>Wohlfahrt</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Bundgaard</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Melbye</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Boyd</surname>
<given-names>HA</given-names>
</name>
</person-group> (<year>2013</year>) <article-title>Pregnancy Loss and Later Risk of Atherosclerotic Disease</article-title> <source>Circulation</source> <volume>127</volume>:<fpage>1775</fpage>&#x2013;<lpage>82</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.112.000285</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wagner</surname>
<given-names>MM</given-names>
</name>
<name>
<surname>Bhattacharya</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Visser</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Hannaford</surname>
<given-names>PC</given-names>
</name>
<name>
<surname>Bloemenkamp</surname>
<given-names>KW</given-names>
</name>
</person-group>. <article-title>Association between Miscarriage and Cardiovascular Disease in a Scottish Cohort</article-title>. <source>Heart</source> (<year>2015</year>) <volume>101</volume>:<fpage>1954</fpage>&#x2013;<lpage>60</lpage>. <pub-id pub-id-type="doi">10.1136/heartjnl-2015-307563</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yamada</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Iso</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Cui</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Tamakoshi</surname>
<given-names>A</given-names>
</name>
</person-group>. <article-title>Recurrent Pregnancy Loss and Cardiovascular Disease Mortality in Japanese Women: A Population-Based, Prospective Cohort Study</article-title>. <source>J Stroke Cerebrovasc Dis</source> (<year>2017</year>) <volume>26</volume>:<fpage>1047</fpage>&#x2013;<lpage>54</lpage>. <pub-id pub-id-type="doi">10.1016/j.jstrokecerebrovasdis.2016.12.018</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kharazmi</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Lukanova</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Teucher</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Gro&#xdf;</surname>
<given-names>ML</given-names>
</name>
<name>
<surname>Kaaks</surname>
<given-names>R</given-names>
</name>
</person-group>. <article-title>Does Pregnancy or Pregnancy Loss Increase Later Maternal Risk of Diabetes?</article-title> <source>Eur J Epidemiol</source> (<year>2012</year>) <volume>27</volume>:<fpage>357</fpage>&#x2013;<lpage>66</lpage>. <pub-id pub-id-type="doi">10.1007/s10654-012-9683-9</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Song</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Zheng</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Yuan</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Liang</surname>
<given-names>Y</given-names>
</name>
<etal/>
</person-group> <article-title>History of Spontaneous Miscarriage and the Risk of Diabetes Mellitus Among Middle-Aged and Older Chinese Women</article-title>. <source>Acta Diabetol</source> (<year>2018</year>) <volume>55</volume>:<fpage>579</fpage>&#x2013;<lpage>84</lpage>. <pub-id pub-id-type="doi">10.1007/s00592-018-1125-z</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Peters</surname>
<given-names>SAE</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Bian</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>H</given-names>
</name>
<etal/>
</person-group> <article-title>Pregnancy, Pregnancy Loss and the Risk of Diabetes in Chinese Women: Findings from the China Kadoorie Biobank</article-title>. <source>Eur J Epidemiol</source> (<year>2020</year>) <volume>35</volume>:<fpage>295</fpage>&#x2013;<lpage>303</lpage>. <pub-id pub-id-type="doi">10.1007/s10654-019-00582-7</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pintaudi</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Lucisano</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Pellegrini</surname>
<given-names>F</given-names>
</name>
<name>
<surname>D&#x27;Ettorre</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Lepore</surname>
<given-names>V</given-names>
</name>
<name>
<surname>De Berardis</surname>
<given-names>G</given-names>
</name>
<etal/>
</person-group> <article-title>The Long-Term Effects of Stillbirth on Women with and without Gestational Diabetes: a Population-Based Cohort Study</article-title>. <source>Diabetologia</source> (<year>2015</year>) <volume>58</volume>:<fpage>67</fpage>&#x2013;<lpage>74</lpage>. <pub-id pub-id-type="doi">10.1007/s00125-014-3403-9</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rai</surname>
<given-names>RS</given-names>
</name>
<name>
<surname>Regan</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Clifford</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Pickering</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Dave</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Mackie</surname>
<given-names>I</given-names>
</name>
<etal/>
</person-group> <article-title>Antiphospholipid Antibodies and Beta 2-Glycoprotein-I in 500 Women with Recurrent Miscarriage: Results of a Comprehensive Screening Approach</article-title>. <source>Hum Reprod</source> (<year>1995</year>) <volume>10</volume>:<fpage>2001</fpage>&#x2013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1093/oxfordjournals.humrep.a136224</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yetman</surname>
<given-names>DL</given-names>
</name>
<name>
<surname>Kutteh</surname>
<given-names>WH</given-names>
</name>
</person-group>. <article-title>Antiphospholipid Antibody Panels and Recurrent Pregnancy Loss: Prevalence of Anticardiolipin Antibodies Compared with Other Antiphospholipid Antibodies</article-title>. <source>Fertil Steril</source> (<year>1996</year>) <volume>66</volume>:<fpage>540</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1016/s0015-0282(16)58565-3</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cervera</surname>
<given-names>R</given-names>
</name>
</person-group>. <article-title>Antiphospholipid Syndrome</article-title>. <source>Thromb Res</source> (<year>2017</year>) <volume>151</volume>:<fpage>S43</fpage>&#x2013;<lpage>s47</lpage>. <pub-id pub-id-type="doi">10.1016/s0049-3848(17)30066-x</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ruiz-Irastorza</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Crowther</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Branch</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Khamashta</surname>
<given-names>MA</given-names>
</name>
</person-group>. <article-title>Antiphospholipid Syndrome</article-title>. <source>Lancet</source> (<year>2010</year>) <volume>376</volume>:<fpage>1498</fpage>&#x2013;<lpage>509</lpage>. <pub-id pub-id-type="doi">10.1016/s0140-6736(10)60709-x</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Oshiro</surname>
<given-names>BT</given-names>
</name>
<name>
<surname>Silver</surname>
<given-names>RM</given-names>
</name>
<name>
<surname>Scott</surname>
<given-names>JR</given-names>
</name>
<name>
<surname>Yu</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Branch</surname>
<given-names>DW</given-names>
</name>
</person-group>. <article-title>Antiphospholipid Antibodies and Fetal Death</article-title>. <source>Obstet Gynecol</source> (<year>1996</year>) <volume>87</volume>:<fpage>489</fpage>&#x2013;<lpage>93</lpage>. <pub-id pub-id-type="doi">10.1016/0029-7844(95)00498-x</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Collins</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Peto</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>F</given-names>
</name>
<etal/>
</person-group> <article-title>China Kadoorie Biobank of 0.5 Million People: Survey Methods, Baseline Characteristics and Long-Term Follow-Up</article-title>. <source>Int J Epidemiol</source> (<year>2011</year>) <volume>40</volume>:<fpage>1652</fpage>&#x2013;<lpage>66</lpage>. <pub-id pub-id-type="doi">10.1093/ije/dyr120</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Collins</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>Y</given-names>
</name>
<etal/>
</person-group> <article-title>Cohort Profile: the Kadoorie Study of Chronic Disease in China (KSCDC)</article-title>. <source>Int J Epidemiol</source> (<year>2005</year>) <volume>34</volume>:<fpage>1243</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1093/ije/dyi174</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gan</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Walters</surname>
<given-names>RG</given-names>
</name>
<name>
<surname>Holmes</surname>
<given-names>MV</given-names>
</name>
<name>
<surname>Bragg</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Millwood</surname>
<given-names>IY</given-names>
</name>
<name>
<surname>Banasik</surname>
<given-names>K</given-names>
</name>
<etal/>
</person-group> <article-title>Evaluation of Type 2 Diabetes Genetic Risk Variants in Chinese Adults: Findings from 93,000 Individuals from the China Kadoorie Biobank</article-title>. <source>Diabetologia</source> (<year>2016</year>) <volume>59</volume>:<fpage>1446</fpage>&#x2013;<lpage>57</lpage>. <pub-id pub-id-type="doi">10.1007/s00125-016-3920-9</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Song</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Yu</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Dong</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Lv</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>Y</given-names>
</name>
<etal/>
</person-group> <article-title>Association between Multiple Comorbidities and Self-Rated Health Status in Middle-Aged and Elderly Chinese: the China Kadoorie Biobank Study</article-title>. <source>BMC Public Health</source> (<year>2018</year>) <volume>18</volume>:<fpage>744</fpage>. <pub-id pub-id-type="doi">10.1186/s12889-018-5632-1</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Collins</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Peto</surname>
<given-names>R</given-names>
</name>
</person-group>, China Kadoorie Biobank (CKB) Collaborative Group. China Kadoorie Biobank of 0.5 million people: survey methods, baseline characteristics and long-term follow-up. Int J Epidemiol (2011) 40(6):1652&#x2013;1666. <ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/22158673/">https://pubmed.ncbi.nlm.nih.gov/22158673/</ext-link>
</citation>
</ref>
<ref id="B31">
<label>31.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Coleman</surname>
<given-names>PK</given-names>
</name>
<name>
<surname>Reardon</surname>
<given-names>DC</given-names>
</name>
<name>
<surname>Calhoun</surname>
<given-names>BC</given-names>
</name>
</person-group>. <article-title>Reproductive History Patterns and Long-Term Mortality Rates: a Danish, Population-Based Record Linkage Study</article-title>. <source>Eur J Public Health</source> (<year>2013</year>) <volume>23</volume>:<fpage>569</fpage>&#x2013;<lpage>74</lpage>. <pub-id pub-id-type="doi">10.1093/eurpub/cks107</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>YX</given-names>
</name>
<name>
<surname>Minguez-Alarcon</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Gaskins</surname>
<given-names>AJ</given-names>
</name>
<name>
<surname>Missmer</surname>
<given-names>SA</given-names>
</name>
<name>
<surname>Rich-Edwards</surname>
<given-names>JW</given-names>
</name>
<name>
<surname>Manson</surname>
<given-names>JE</given-names>
</name>
<etal/>
</person-group> <article-title>Association of Spontaneous Abortion with All Cause and Cause Specific Premature Mortality: Prospective Cohort Study</article-title>. <source>BMJ</source> (<year>2021</year>) <volume>372</volume>:<fpage>n530</fpage>. <pub-id pub-id-type="doi">10.1136/bmj.n530</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gallagher</surname>
<given-names>LG</given-names>
</name>
<name>
<surname>Davis</surname>
<given-names>LB</given-names>
</name>
<name>
<surname>Ray</surname>
<given-names>RM</given-names>
</name>
<name>
<surname>Psaty</surname>
<given-names>BM</given-names>
</name>
<name>
<surname>Gao</surname>
<given-names>DL</given-names>
</name>
<name>
<surname>Checkoway</surname>
<given-names>H</given-names>
</name>
<etal/>
</person-group> <article-title>Reproductive History and Mortality from Cardiovascular Disease Among Women Textile Workers in Shanghai, China</article-title>. <source>Int J Epidemiol</source> (<year>2011</year>) <volume>40</volume>:<fpage>1510</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1093/ije/dyr134</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Okoth</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Subramanian</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Chandan</surname>
<given-names>JS</given-names>
</name>
<name>
<surname>Adderley</surname>
<given-names>NJ</given-names>
</name>
<name>
<surname>Thomas</surname>
<given-names>GN</given-names>
</name>
<name>
<surname>Nirantharakumar</surname>
<given-names>K</given-names>
</name>
<etal/>
</person-group> <article-title>Long Term Miscarriage-Related Hypertension and Diabetes Mellitus. Evidence from a United Kingdom Population-Based Cohort Study</article-title>. <source>PloS one</source> (<year>2022</year>) <volume>17</volume>:<fpage>e0261769</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0261769</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Raghavan</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Vassy</surname>
<given-names>JL</given-names>
</name>
<name>
<surname>Ho</surname>
<given-names>YL</given-names>
</name>
<name>
<surname>Song</surname>
<given-names>RJ</given-names>
</name>
<name>
<surname>Gagnon</surname>
<given-names>DR</given-names>
</name>
<name>
<surname>Cho</surname>
<given-names>K</given-names>
</name>
<etal/>
</person-group> <article-title>Diabetes Mellitus-Related All-Cause and Cardiovascular Mortality in a National Cohort of Adults</article-title>. <source>J Am Heart Assoc</source> (<year>2019</year>) <volume>8</volume>:<fpage>e011295</fpage>. <pub-id pub-id-type="doi">10.1161/JAHA.118.011295</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rajendran</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Rengarajan</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Thangavel</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Nishigaki</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Sakthisekaran</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Sethi</surname>
<given-names>G</given-names>
</name>
<etal/>
</person-group> <article-title>The Vascular Endothelium and Human Diseases</article-title>. <source>Int J Biol Sci</source> (<year>2013</year>) <volume>9</volume>:<fpage>1057</fpage>&#x2013;<lpage>69</lpage>. <pub-id pub-id-type="doi">10.7150/ijbs.7502</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Germain</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Romanik</surname>
<given-names>MC</given-names>
</name>
<name>
<surname>Guerra</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Solari</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Reyes</surname>
<given-names>MS</given-names>
</name>
<name>
<surname>Johnson</surname>
<given-names>RJ</given-names>
</name>
<etal/>
</person-group> <article-title>Endothelial Dysfunction: a Link Among Preeclampsia, Recurrent Pregnancy Loss, and Future Cardiovascular Events?</article-title> <source>Hypertension</source> (<year>2007</year>) <volume>49</volume>:<fpage>90</fpage>&#x2013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1161/01.HYP.0000251522.18094.d4</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Frick</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Weidinger</surname>
<given-names>F</given-names>
</name>
</person-group>. <article-title>Endothelial Function: a Surrogate Endpoint in Cardiovascular Studies?</article-title> <source>Curr Pharm Des</source> (<year>2007</year>) <volume>13</volume>:<fpage>1741</fpage>&#x2013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.2174/138161207780831211</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Godo</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Shimokawa</surname>
<given-names>H</given-names>
</name>
</person-group>. <article-title>Endothelial Functions</article-title>. <source>Arterioscler Thromb Vasc Biol</source> (<year>2017</year>) <volume>37</volume>:<fpage>e108</fpage>&#x2013;<lpage>e114</lpage>. <pub-id pub-id-type="doi">10.1161/atvbaha.117.309813</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ranthe</surname>
<given-names>MF</given-names>
</name>
<name>
<surname>Boyd</surname>
<given-names>HA</given-names>
</name>
</person-group>. <article-title>Miscarriage and Cardiovascular Disease</article-title>. <source>Heart</source> (<year>2015</year>) <volume>101</volume>:<fpage>1933</fpage>&#x2013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1136/heartjnl-2015-308383</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Du</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Lu</surname>
<given-names>M</given-names>
</name>
</person-group>. <article-title>Interleukin-18 Gene Polymorphisms and Risk of Recurrent Pregnancy Loss: A Systematic Review and Meta-Analysis</article-title>. <source>J Obstet Gynaecol Res</source> (<year>2015</year>) <volume>41</volume>:<fpage>1506</fpage>&#x2013;<lpage>13</lpage>. <pub-id pub-id-type="doi">10.1111/jog.12800</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Bao</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Ouyang</surname>
<given-names>YY</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Rong</surname>
<given-names>S</given-names>
</name>
<etal/>
</person-group> <article-title>Inflammatory Markers and Risk of Type 2 Diabetes: a Systematic Review and Meta-Analysis</article-title>. <source>Diabetes Care</source> (<year>2013</year>) <volume>36</volume>:<fpage>166</fpage>&#x2013;<lpage>75</lpage>. <pub-id pub-id-type="doi">10.2337/dc12-0702</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shan</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Qiu</surname>
<given-names>PY</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>YX</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>AL</given-names>
</name>
<name>
<surname>Ramadoss</surname>
<given-names>S</given-names>
</name>
<etal/>
</person-group> <article-title>Pregnancy Outcomes in Women of Advanced Maternal Age: a Retrospective Cohort Study from China</article-title>. <source>Scientific Rep</source> (<year>2018</year>) <volume>8</volume>:<fpage>12239</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-018-29889-3</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Latka</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Kline</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Hatch</surname>
<given-names>M</given-names>
</name>
</person-group>. <article-title>Exercise and Spontaneous Abortion of Known Karyotype</article-title>. <source>Epidemiology</source> (<year>1999</year>) <volume>10</volume>:<fpage>73</fpage>&#x2013;<lpage>5</lpage>.</citation>
</ref>
<ref id="B45">
<label>45.</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Norsker</surname>
<given-names>FN</given-names>
</name>
<name>
<surname>Espenhain</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Rogvi</surname>
<given-names>AS</given-names>
</name>
<name>
<surname>Morgen</surname>
<given-names>CS</given-names>
</name>
<name>
<surname>Andersen</surname>
<given-names>PK</given-names>
</name>
<name>
<surname>Nybo Andersen</surname>
<given-names>AM</given-names>
</name>
</person-group>. <article-title>Socioeconomic Position and the Risk of Spontaneous Abortion: a Study within the Danish National Birth Cohort</article-title>. <source>BMJ open</source> (<year>2012</year>) <volume>2</volume>:<fpage>e001077</fpage>. <pub-id pub-id-type="doi">10.1136/bmjopen-2012-001077</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>