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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2023.1071706</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Previous pregnancy loss and gestational cardiovascular health: A prospective cohort of nulliparous women</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ma</surname>
<given-names>Shuang-shuang</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yin</surname>
<given-names>Wan-jun</given-names>
</name>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
<xref rid="aff6" ref-type="aff"><sup>6</sup></xref>
<xref rid="aff7" ref-type="aff"><sup>7</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1483090/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Peng</given-names>
</name>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
<xref rid="aff6" ref-type="aff"><sup>6</sup></xref>
<xref rid="aff7" ref-type="aff"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Hai-xia</given-names>
</name>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
<xref rid="aff6" ref-type="aff"><sup>6</sup></xref>
<xref rid="aff7" ref-type="aff"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Lei</given-names>
</name>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
<xref rid="aff6" ref-type="aff"><sup>6</sup></xref>
<xref rid="aff7" ref-type="aff"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Xiao-min</given-names>
</name>
<xref rid="aff8" ref-type="aff"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Ying</given-names>
</name>
<xref rid="aff9" ref-type="aff"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tao</surname>
<given-names>Ruixue</given-names>
</name>
<xref rid="aff10" ref-type="aff"><sup>10</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ge</surname>
<given-names>Jin-fang</given-names>
</name>
<xref rid="aff11" ref-type="aff"><sup>11</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/257966/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhu</surname>
<given-names>Peng</given-names>
</name>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
<xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
<xref rid="aff6" ref-type="aff"><sup>6</sup></xref>
<xref rid="aff7" ref-type="aff"><sup>7</sup></xref>
<xref rid="c002" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1832946/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University</institution>, <addr-line>Hefei</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Hefei Fourth People's Hospital</institution>, <addr-line>Hefei</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Anhui Mental Health Center</institution>, <addr-line>Hefei, Anhui</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University</institution>, <addr-line>Hefei, Anhui</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University</institution>, <addr-line>Hefei, Anhui</addr-line>, <country>China</country></aff>
<aff id="aff6"><sup>6</sup><institution>NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University</institution>, <addr-line>Hefei, Anhui</addr-line>, <country>China</country></aff>
<aff id="aff7"><sup>7</sup><institution>Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University</institution>, <addr-line>Hefei, Anhui</addr-line>, <country>China</country></aff>
<aff id="aff8"><sup>8</sup><institution>Department of Obstetrics and Gynecology, Anhui Women and Child Health Care Hospital</institution>, <addr-line>Hefei, Anhui</addr-line>, <country>China</country></aff>
<aff id="aff9"><sup>9</sup><institution>Department of Obstetrics and Gynecology, First Affiliated Hospital of Anhui Medical University</institution>, <addr-line>Hefei, Anhui</addr-line>, <country>China</country></aff>
<aff id="aff10"><sup>10</sup><institution>Department of Obstetrics and Gynecology, Hefei First People's Hospital</institution>, <addr-line>Hefei, Anhui</addr-line>, <country>China</country></aff>
<aff id="aff11"><sup>11</sup><institution>School of Pharmacy, Anhui Medical University</institution>, <addr-line>Hefei, Anhui</addr-line>, <country>China</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Mihaela Popescu, Carol Davila University of Medicine and Pharmacy, Romania</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Damien Foo, Yale University, United States; Yamnia I. Cort&#x00E9;s, University of North Carolina at Chapel Hill, United States; David Reardon, Elliot Institute, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Jin-fang Ge, <email>gejinfang@ahmu.edu.cn</email></corresp>
<corresp id="c002">Peng Zhu, <email>pengzhu@ahmu.edu.cn</email></corresp>
<fn id="fn0003" fn-type="other"><p>This article was submitted to Public Health and Nutrition, a section of the journal Frontiers in Public Health</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>04</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1071706</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Ma, Yin, Wang, Wang, Zhang, Jiang, Zhang, Tao, Ge and Zhu.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Ma, Yin, Wang, Wang, Zhang, Jiang, Zhang, Tao, Ge and Zhu</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>
<sec>
<title>Objectives</title>
<p>To estimate the association of previous pregnancy loss with subsequent cardiovascular health during gestation and to examine the role of high-sensitivity C reactive protein (hs-CRP) in the association.</p>
</sec>
<sec>
<title>Methods</title>
<p>A total of 2,778 nulliparous pregnant women were recruited between March 2015 and November 2020 in Hefei city, China. Their cardiovascular health (CVH) including prepregnancy body mass index (BMI), blood pressure, total cholesterol, fasting plasma glucose, and smoke status were recorded at 24&#x2013;28&#x2009;weeks&#x2019; gestation, as well as their reproductive history. Multivariate linear and logistic regression were performed to examine the association of pregnancy loss with cardiovascular health. And the role of hs-CRP between pregnancy loss and CVH was assessed by the mediation analysis.</p>
</sec>
<sec>
<title>Results</title>
<p>Compared with women who have no pregnancy loss, women with a history of spontaneous or induced abortions had higher BMI (<italic>&#x03B2;</italic>, 0.72, 95% <italic>CI</italic>, 0.50 to 0.94) and fasting plasma glucose (<italic>&#x03B2;</italic>, 0.04, 95% <italic>CI</italic>, 0.01 to 0.07), and had lower total CVH scores after adjusting for confounders (<italic>&#x03B2;</italic>, &#x2212;0.09, 95% <italic>CI</italic>, &#x2212;0.18 to &#x2212;0.01). CVH scores were most significantly decreased among women with 3 or more induced abortions (<italic>&#x03B2;</italic>, &#x2212;0.26, 95% <italic>CI</italic>, &#x2212;0.49, &#x2212;0.02). The contribution of pregnancy loss to poorer gestational CVH mediated by increased hs-CRP levels was 23.17%.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Previous pregnancy loss was associated with poorer cardiovascular health during gestation, which may be mediated by their gestational inflammatory status. Exposure to miscarriage alone was not a significant predictor of poorer CVH.</p>
</sec>
</abstract>
<kwd-group>
<kwd>pregnancy loss</kwd>
<kwd>cardiovascular health</kwd>
<kwd>gestation</kwd>
<kwd>inflammation</kwd>
<kwd>nulliparous women</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="58"/>
<page-count count="9"/>
<word-count count="7440"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec5" sec-type="intro">
<title>Introduction</title>
<p>Cardiovascular disease (CVD) is the leading cause of mortality in both men and women and accounts for one-third of all deaths worldwide (<xref ref-type="bibr" rid="ref1">1</xref>). In 2010, the American Heart Association proposed a project about cardiovascular health (CVH) scores, which was expected to reduce the CVD burden by 20% and increase cardiovascular health by 20% in 2020 (<xref ref-type="bibr" rid="ref2">2</xref>). Currently, CVH has been a global, positive health-promotion construct that has proven widely applicable across clinical settings. Data from the Framingham Offspring Study demonstrates that the decreased ideal CVH scores over the past 20&#x2009;years result in increasing odds of subclinical disease and risk of CVD death, emphasizing the importance of maintaining ideal CVH across the life course (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>Pregnancy poses a significant physiological challenge to the cardiovascular system of the mothers (<xref ref-type="bibr" rid="ref5">5</xref>), which is a critical window to identify women with metabolic syndromes and elevated risk of adverse pregnancy outcomes, as well as later life cardiovascular diseases (<xref ref-type="bibr" rid="ref6">6</xref>). Evidence from the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study and HAPO Follow-Up Study suggested that better maternal CVH in gestation was associated with lower risk of adverse pregnancy outcomes (<xref ref-type="bibr" rid="ref7">7</xref>) and better offspring CVH in early adolescence (<xref ref-type="bibr" rid="ref8">8</xref>). Identifying risk factors for cardiovascular health or subclinical disease to highlight priorities for intervention is needed urgently. Growing evidence indicates that reproductive factors unique to women are associated with long-term risk of CVD morbidity and mortality (<xref ref-type="bibr" rid="ref9 ref10 ref11">9&#x2013;11</xref>).</p>
<p>Miscarriage is one of the most common complications, with an estimated prevalence of 20% in clinically recognized pregnancies ending in miscarriage (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>), 35 induced abortions occurred annually per 1,000 women aged 15&#x2013;44&#x2009;years worldwide in 2010&#x2013;2014 (<xref ref-type="bibr" rid="ref14">14</xref>). A history of pregnancy loss (PL), whether induced or naturally occurring, has been associated with a higher risk of subsequent metabolic disorders, including cardiovascular disease (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>), premature mortality (<xref ref-type="bibr" rid="ref17">17</xref>), type 2 diabetes (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref19">19</xref>) and atherosclerotic disease (<xref ref-type="bibr" rid="ref20">20</xref>), especially when there is recurrent PL. Moreover, a prospective longitudinal study revealed an important temporal relationship that a delayed and more prolonged increased risk of CVD is associated with a first pregnancy loss (<xref ref-type="bibr" rid="ref21">21</xref>). However, to the best of our knowledge, the early-term effects of PL on gestational cardiovascular health remain uncertain. It is plausible to interpret the association by biological pathways that abnormal neuroendocrine responses, proinflammatory state and unhealthy behaviors triggered by highly stressful life events (<xref ref-type="bibr" rid="ref22">22</xref>). High sensitivity C-reactive protein (hs-CRP) is an acute phase reactant protein released from the liver and serves as a marker to identify inflammation, often used as a component of routine cardiovascular disease risk assessment (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>), but the role of hs-CRP in the association between a history of past PL and gestational cardiovascular health in pregnant women still needs to be investigated.</p>
<p>Therefore, we evaluated the association of pregnancy loss, including miscarriage and induced abortion, with gestational CVH in nulliparous pregnant women enrolled in a prospective cohort study. We further examined the extent to which this relation is mediated by hs-CRP.</p>
</sec>
<sec id="sec6" sec-type="methods">
<title>Methods</title>
<sec id="sec7">
<title>Study design and population</title>
<p>The Maternal and Infant Health cohort study in Hefei (MIH-Hefei) is an ongoing prospective cohort established in March 2015, which was designed to evaluate the impact of prenatal complex setting of nutrition, stress or behaviors on adverse maternal and fetal pregnancy outcomes. Pregnant women with singleton pregnancy aged &#x2265;18&#x2009;years who had lived in Hefei for at least 2&#x2009;years were were enrolled at 16 to 23&#x2009;weeks&#x2019; gestation at three prenatal checkup hospitals in Hefei, China (Hefei First People&#x2019;s Hospital, Anhui Maternal and Child Care Hospital, and the First Affiliated Hospital of Anhui Medical University). A face-to-face interview was used to obtain the demographic data, health status and lifestyle and dietary habits. All eligible pregnant women were examined at a target of 26&#x2009;weeks&#x2019; gestation (range, 24&#x2013;28) and 34&#x2009;weeks&#x2019; gestation (range, 32&#x2013;36), respectively. Newborns were examined within 72&#x2009;h of delivery, and data were collected through pregnancy and 6&#x2013;36&#x2009;weeks postpartum.</p>
<p>As of November 2020, a total of 9,081 pregnant women were enrolled. In the current study, our analytical sample was restricted to those pregnant women who were nulliparous women at recruitment (<italic>n</italic> =&#x2009;6,114). Women were excluded if they had liver, renal, or thyroid dysfunction (<italic>n</italic> =&#x2009;56); prepregnancy diabetes, hypertension or cardiovascular disease (<italic>n</italic> =&#x2009;43). Considering the risk of women&#x2019;s age for miscarriage (<xref ref-type="bibr" rid="ref25">25</xref>), women aged 35 and older were excluded (<italic>n</italic> =&#x2009;189). And their blood samples were collected at 24&#x2013;28&#x2009;week&#x2019;s gestation for examination. Through laboratory examination, participants without CVH data (<italic>n</italic> =&#x2009;64) and who did not obtained blood samples (<italic>n</italic> =&#x2009;32) were excluded. Therefore, we obtained full data, including blood samples from 5,730 nulliparous women. We randomly selected half of the blood samples (2,865 samples) were assayed for maternal hs-CRP levles, in which 87 samples were excluded (lower limit of detection). Finally, 2,778 eligible participants were analyzed (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>). All participants provided written informed consent. The study was conducted in full accordance with the Helsinki Declaration. Ethical approval was granted by the ethics committee of Anhui Medical University (No. 2015002).</p>
</sec>
<sec id="sec8">
<title>Data on pregnancy loss history</title>
<p>At 16&#x2013;23&#x2009;weeks&#x2019; gestation, their lifetime history of pregnancies (included the number of pregnancy losses, miscarriage and induced abortions) were collected in face-to-face by obstetricians at clinics. Their reproductive histories prior to this pregnancy were determined by maternal reports and verified by medical records. In our study, miscarriage is defined as a spontaneous loss of an intrauterine pregnancy prior to 24&#x2009;weeks of gestation (<xref ref-type="bibr" rid="ref26">26</xref>). Recurrent miscarriage is defined as at least three consecutive miscarriages before 24&#x2009;weeks gestation (<xref ref-type="bibr" rid="ref27">27</xref>). Induced abortion is a simple health care intervention that can be effectively managed by a broad range of health workers using medication or a surgical procedures (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
</sec>
<sec id="sec9">
<title>Assessment of cardiovascular health during pregnancy</title>
<p>As in prior studies (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref8">8</xref>), CVH was characterized using the combination of the following 5 metrics: body mass index (BMI), blood pressure (BP), total cholesterol (TC), glucose, and smoking status. Each CVH metric was evaluated at 24&#x2013;28&#x2009;weeks&#x2019; gestation and was coded as a 3-level variable: ideal (<xref ref-type="bibr" rid="ref2">2</xref>), intermediate (<xref ref-type="bibr" rid="ref1">1</xref>), or poor (0) as described in the <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>. Height, weight and blood pressure were each measured twice by trained study personnel using calibrated instruments. Gestational BMI was calculated as weight (kg) divided by height (m) squared, and classified as ideal (&#x2264;28.4&#x2009;kg/m<sup>2</sup>), intermediate (28.5&#x2013;32.9&#x2009;kg/m<sup>2</sup>), or poor (&#x2265;33.0&#x2009;kg/m<sup>2</sup>) (<xref ref-type="bibr" rid="ref29">29</xref>). Their blood pressure was also classified according to the pregnancy guideline (<xref ref-type="bibr" rid="ref30">30</xref>). A 75-g oral glucose tolerance test (OGTT) was performed in the 12&#x2009;h fasting state for assessment of fasting, 1- and 2-h plasma glucose levels, and poor glucose was defined as women with gestational diabetes mellitus utilizing International Association of Diabetes in Pregnancy Study Groups criteria (<xref ref-type="bibr" rid="ref31">31</xref>). For TC concentration, we defined total cholesterol concentrations less than 260&#x2009;mg/d as ideal, 260 to 299&#x2009;mg/d as intermediate, and 300&#x2009;mg/d or greater as poor (<xref ref-type="bibr" rid="ref32">32</xref>). Smoking was reported from standardized questionnaires, but there was no smoking during pregnancy in this study. Thus, we used 4 metrics of the CVH to calculate a CVH score (ranged from 0 to 8), the higher CVH score, the better cardiovascular health status. And the total CVH score was categorized into 4 mutually exclusive groups: all ideal metrics, 1 or more intermediate (but 0 poor) metrics, 1 poor metric, or 2 or more poor metrics.</p>
</sec>
<sec id="sec10">
<title>Examination of hs-CRP levels</title>
<p>Hs-CRP has been widely used in studies to evaluate low-grade systemic inflammation in individuals (<xref ref-type="bibr" rid="ref33">33</xref>). A venous blood sample was taken at 24&#x2013;28&#x2009;weeks&#x2019; gestation to test for hs-CRP levels. The level of hs-CRP was measured using enzyme-linked immunosorbent assay (ELISA) kits (Cusabio Biotech, Wuhan, China). The intra- and inter-coefficients of variation were&#x2009;&#x003C;&#x2009;10%.</p>
</sec>
<sec id="sec11">
<title>Covariates assessment</title>
<p>The following potential confounders were obtained from interviews included maternal demographics (age, education, family income), paternal smoking and alcohol consumption, and maternal folic acid supplements intakes. In addition, their reproductive related characteristics, pregnancy complications, gynecological-related disease, parental history of chronic diseases and their pregnancy intention were collected from interviews and medical records. Gestational age was estimated based on the last menstrual period and ultrasound assessment at baseline. Prepregnancy body mass index (BMI) was calculated by prepregnancy weight (kg)/height (m)<sup>2</sup>. Frequencies of moderate physical activity in the past 3&#x2009;months were evaluated by the International Physical Activity Questionnaire (&#x003C;3 and&#x2009;&#x2265;&#x2009;3&#x2009;days/week of no&#x003C;10&#x2009;min per day) (<xref ref-type="bibr" rid="ref34">34</xref>). Food consumption frequency and serving size in the past month were collected using the food frequency questionnaire (FFQ). Based on 39 pre-defined food groups in our study, the relevant food groups were selected and divided into six beneficial food groups (included vegetables, legumes, fruits and nuts, cereal, fish, and dairy) and one detrimental food group (meat). A Mediterranean diet score was based on that devised by Chatzi et al. for pregnant women (<xref ref-type="bibr" rid="ref35">35</xref>). When pregnant women whose consumption of the beneficial food groups was above the median scored 1 point, and those below the median scored 0 point. The opposite is true for meat consumption. The MD score was calculated by summing the values of the seven food groups which ranged from 0 to 7, with a higher score representing greater adherence to a Mediterranean-style diet. The details of Mediterranean diet score assessment have been described in our recent study (<xref ref-type="bibr" rid="ref36">36</xref>). Sleep duration was recorded as the number of hours of sleep reported by asking, &#x2018;How many hours of sleep did you generally get at night during the previous month?&#x2019;. Their mental conditions were assessed using the Edinburgh Postnatal Depression Scale (EPDS) (Chinese version), a 10-item self-reporting questionnaire with well validated (<xref ref-type="bibr" rid="ref37">37</xref>). Depression symptoms were defined as EPDS scores greater than 12.</p>
</sec>
<sec id="sec12">
<title>Statistical analysis</title>
<p>Data on characteristics of the participants were presented as means (standard deviation [SD]) or median (interquartile range, IQR) for continuous variables and proportions for categorical variables. Statistical analysis was perform using Student&#x2019;s t-test or Mann&#x2013;Whitney U-test for continuous data and chi-squared test for categorical data. Participants were considered to have been exposed to pregnancy loss from the first report of a spontaneous or induced abortion, and participants with the first gravid were considered as the reference group. Multivariable linear or logistic regression models were constructed to estimate <italic>&#x03B2;</italic> or relative risk (<italic>RR</italic>) and 95% confidence intervals (<italic>CI</italic>) to explore the associations between pregnancy loss, overall and according to the number of miscarriages and induced abortions, and CVH status after adjustment for covariates. We then tested for the role of hs-CRP levels in the association of pregnancy loss with CVH status through a mediation analysis using the SPSS PROCESS plug-in. The Bootstrap 95% CI dose not include 0 as an estimated significant indirect effect. A sensitivity analysis was performed to compare differences in characteristics between the included and excluded samples. All analyses were conducted by using Statistical Product and Service Solutions, version 23.0 (IBM Corporation, Chicago, IL). A 2-sided <italic>p</italic>-value of 0.05 was deemed statistically significant.</p>
</sec>
</sec>
<sec id="sec13" sec-type="results">
<title>Results</title>
<sec id="sec14">
<title>Participants characteristics</title>
<p>Sample characteristics are presented in <xref rid="tab1" ref-type="table">Table 1</xref>. A total of 2,778 nulliparous women were included in the study, 43.8% had at least one pregnancy ending in pregnancy loss, and of which 199 (16.4%) reported a miscarriage, and 1,017 (83.6%) induced abortion. Women who experienced pregnancy loss were older than women who never had a pregnancy loss (mean [SD], 26.86 [2.53] vs. 28.54 [3.12] years), had higher prepregnancy BMI (20.77 [2.58] vs. 21.50 [3.08] kg/m<sup>2</sup>) at baseline. And they were more likely to be infected with genital tract infection (12.5% vs. 9.5%) and to use progesterone (36.3% vs. 28.6%). In addition, they had higher prevalence of a parental history of diabetes (10.1% vs. 6.7%) and heart disease (4.9% vs. 2.8%), and might need longer time for pregnancy (15.0% vs. 11.3%). Of note, participants excluded due to missing data were similar to those included in our analysis in terms of socio-demographic characteristics (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Participants characteristics according to pregnancy loss (<italic>N</italic>&#x2009;=&#x2009;2,778).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristics</th>
<th align="center" valign="top">No pregnancy loss (<italic>n</italic> =&#x2009;1,562)</th>
<th align="center" valign="top">Pregnancy loss (<italic>n</italic> =&#x2009;1,216)</th>
<th align="center" valign="top"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="4"><italic>Demographics</italic></td>
</tr>
<tr>
<td align="left" valign="middle">Age, years, mean (SD)</td>
<td align="center" valign="middle">26.86 (2.53)</td>
<td align="center" valign="middle">28.54 (3.12)</td>
<td align="left" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Education level (&#x2265;12&#x2009;years), No(%)</td>
<td align="center" valign="middle">1,119 (71.6)</td>
<td align="center" valign="middle">698 (57.4)</td>
<td align="left" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Household income (&#x2265;6,000 RMB/m), No(%)</td>
<td align="center" valign="middle">1,057 (67.7)</td>
<td align="center" valign="middle">867 (71.3)</td>
<td align="left" valign="middle">0.040</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4"><italic>Pregnancy lifestyle factors</italic>
<xref rid="tfn1" ref-type="table-fn"><sup>a</sup></xref></td>
</tr>
<tr>
<td align="left" valign="middle">Physical activity (&#x2265;3 d/w), No(%)</td>
<td align="center" valign="middle">718 (46.0)</td>
<td align="center" valign="middle">553 (45.5)</td>
<td align="left" valign="middle">0.797</td>
</tr>
<tr>
<td align="left" valign="middle">MeDiet score <xref rid="tfn2" ref-type="table-fn"><sup>b</sup></xref> (&#x2265;4), No(%)</td>
<td align="center" valign="top">1,150 (75.3)</td>
<td align="center" valign="top">850 (71.8)</td>
<td align="left" valign="middle">0.042</td>
</tr>
<tr>
<td align="left" valign="middle">Sleep duration (&#x2265;9&#x2009;h/d), No(%)</td>
<td align="center" valign="middle">685 (43.9)</td>
<td align="center" valign="middle">530 (43.6)</td>
<td align="left" valign="middle">0.887</td>
</tr>
<tr>
<td align="left" valign="middle">Depressive symptom <xref rid="tfn3" ref-type="table-fn"><sup>c</sup></xref> (&#x2265;13), No(%)</td>
<td align="center" valign="middle">137 (8.8)</td>
<td align="center" valign="middle">104 (8.6)</td>
<td align="left" valign="middle">0.893</td>
</tr>
<tr>
<td align="left" valign="middle">Paternal alcohol intakes (&#x2265;3 times/w), No(%)</td>
<td align="center" valign="middle">126 (8.1)</td>
<td align="center" valign="middle">178 (14.6)</td>
<td align="left" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Paternal smoking behaviors (&#x2265;6 cigarettes/d), No(%)</td>
<td align="center" valign="middle">209 (13.4)</td>
<td align="center" valign="middle">297 (24.4)</td>
<td align="left" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Pre-pregnancy folic acid supplement (&#x2265;3 times/w), No(%)</td>
<td align="center" valign="middle">724 (46.4)</td>
<td align="center" valign="middle">523 (43.0)</td>
<td align="left" valign="middle">0.079</td>
</tr>
<tr>
<td align="left" valign="middle">Early-pregnancy folic acid supplement (&#x2265;3 times/w), No(%)</td>
<td align="center" valign="middle">1,354 (86.7)</td>
<td align="center" valign="middle">1,030 (84.7)</td>
<td align="left" valign="middle">0.138</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4"><italic>Maternal Health status</italic></td>
</tr>
<tr>
<td align="left" valign="middle">Pre-pregnancy BMI <xref rid="tfn4" ref-type="table-fn"><sup>d</sup></xref>, kg/m<sup>2</sup>, mean (SD)</td>
<td align="center" valign="middle">20.77 (2.58)</td>
<td align="center" valign="middle">21.50 (3.08)</td>
<td align="left" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Family history of hypertension, No (%)</td>
<td align="center" valign="top">485 (31.0)</td>
<td align="center" valign="top">416 (34.2)</td>
<td align="left" valign="top">0.077</td>
</tr>
<tr>
<td align="left" valign="middle">Family history of diabetes, No (%)</td>
<td align="center" valign="top">105 (6.7)</td>
<td align="center" valign="top">123 (10.1)</td>
<td align="left" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Family history of heart disease, No (%)</td>
<td align="center" valign="middle">44 (2.8)</td>
<td align="center" valign="middle">60 (4.9)</td>
<td align="left" valign="top">0.004</td>
</tr>
<tr>
<td align="left" valign="middle">Genital tract infection, No(%)</td>
<td align="center" valign="middle">149 (9.5)</td>
<td align="center" valign="middle">152 (12.5)</td>
<td align="left" valign="middle">0.013</td>
</tr>
<tr>
<td align="left" valign="middle">Pelvic inflammatory disease, No(%)</td>
<td align="center" valign="middle">38 (2.4)</td>
<td align="center" valign="middle">48 (3.8)</td>
<td align="left" valign="middle">0.039</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4"><italic>Reproductive characteristics</italic></td>
</tr>
<tr>
<td align="left" valign="middle">Gestational age, weeks, mean (SD)</td>
<td align="center" valign="middle">24.40 (2.20)</td>
<td align="center" valign="middle">24.52 (2.16)</td>
<td align="left" valign="middle">0.175</td>
</tr>
<tr>
<td align="left" valign="middle">Unintended pregnancy, No (%)</td>
<td align="center" valign="middle">555 (35.5)</td>
<td align="center" valign="middle">461 (37.9)</td>
<td align="left" valign="middle">0.196</td>
</tr>
<tr>
<td align="left" valign="middle">Time to pregnancy (&#x003E;6&#x2009;months), No (%)</td>
<td align="center" valign="middle">177 (11.3)</td>
<td align="center" valign="middle">182 (15.0)</td>
<td align="left" valign="middle">0.005</td>
</tr>
<tr>
<td align="left" valign="middle">Progesterone treatment, No (%)</td>
<td align="center" valign="middle">459 (29.4)</td>
<td align="center" valign="middle">456 (37.5)</td>
<td align="left" valign="middle">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>MeDiet, Mediterranean Diet; BMI, body mass index. Continuous data are presented as mean (standard deviation) or median (interquartile range, IQR), and categorical data as number (percentage). All variables (except fetal sex and birth outcomes) were collected at 24&#x2013;28&#x2009;weeks&#x2019; gestation. <italic>p</italic> value is from analysis of variance (for means) or chi-square (for proportions) comparing study arms.</p>
<fn id="tfn1">
<label>a</label>
<p>Pregnancy lifestyle refers to lifestyle during the 3&#x2009;months before enrollment.</p>
</fn>
<fn id="tfn2">
<label>b</label>
<p>The MeDiet score was evaluated by a food frequency questionnaire, including vegetables, fruits, grains, nuts, beans, fish, oil, red or processed meat and wine.</p>
</fn>
<fn id="tfn3">
<label>c</label>
<p>Depression status was evaluated using the Edinburgh Postnatal Depression Scale.</p>
</fn>
<fn id="tfn4">
<label>d</label>
<p>BMI was calculated as weight in kilograms divided by height in meters squared.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<title>Associations of pregnancy loss with CVH metrics and hs-CRP levels</title>
<p><xref rid="tab2" ref-type="table">Table 2</xref> shows an association of pregnancy loss with CVH <italic>metrics</italic> and hs-CRP levels. The mean total gestational CVH score was 6.96 [1.2] out of 8, and 24.8% participants had &#x2265;1 poor CVH metric in the 1,216 pregnant women with PL. Multivariate analyses demonstrated a significant decrease in maternal CVH scores (<italic>&#x03B2;</italic>, &#x2212;0.09, 95% <italic>CI</italic>, &#x2212;0.18 to &#x2212;0.01) and increase in hs-CRP levels (<italic>&#x03B2;</italic>, 0.05, 95% <italic>CI</italic>, 0.02 to 0.08) in pregnant women who experienced PL compared with those who were no PL. For each of CVH metric, pregnant women who experienced PL had significantly higher BMI (<italic>&#x03B2;</italic>, 0.72, 95% <italic>CI</italic>, 0.50 to 0.94), fasting glucose (<italic>&#x03B2;</italic>, 0.04, 95% <italic>CI</italic>, 0.01 to 0.07), 1-h OGTT glucose (<italic>&#x03B2;</italic>, 0.27, 95% <italic>CI</italic>, 0.15 to 0.40) and 2-h OGTT glucose concentration (<italic>&#x03B2;</italic>, 0.21, 95% <italic>CI</italic>, 0.12 to 0.31).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Adjusted associations of pregnancy loss with gestational cardiovascular health metrics at 24&#x2013;28&#x2009;weeks&#x2019; gestation.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">CVH metrics</th>
<th align="center" valign="top">No pregnancy loss</th>
<th align="center" valign="top">Pregnancy loss</th>
<th align="center" valign="top" colspan="2">Adjusted model<xref rid="tfn5" ref-type="table-fn"><sup>a</sup></xref></th>
</tr>
<tr>
<th align="center" valign="top">(<italic>n</italic> =&#x2009;1,562)</th>
<th align="center" valign="top">(<italic>n</italic> =&#x2009;1,216)</th>
<th align="center" valign="top" colspan="2"><italic>&#x03B2;</italic>(95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle"><italic>BMI</italic>, kg/m<sup>2</sup>, mean (SD)</td>
<td align="center" valign="top">23.68 (2.76)</td>
<td align="center" valign="top">24.46 (3.05)</td>
<td align="center" valign="top">0.72 (0.50,0.94)</td>
<td align="center" valign="bottom" rowspan="10">
<inline-graphic xlink:href="fpubh-11-1071706-igr0001.tif"/></td>
</tr>
<tr>
<td align="left" valign="middle"><italic>SBP</italic>, mm Hg, mean (SD)</td>
<td align="center" valign="top">110.31 (9.88)</td>
<td align="center" valign="top">109.94 (9.38)</td>
<td align="center" valign="top">&#x2212;0.33(&#x2212;1.06,0.41)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>DBP</italic>, mm Hg, mean (SD)</td>
<td align="center" valign="top">69.05 (7.57)</td>
<td align="center" valign="top">68.87 (7.35)</td>
<td align="center" valign="top">&#x2212;0.14(&#x2212;0.71,0.43)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>TC</italic>, mmol/L, mean (SD)</td>
<td align="center" valign="top">5.99 (1.04)</td>
<td align="center" valign="top">6.04 (1.07)</td>
<td align="center" valign="top">0.05(&#x2212;0.03,0.13)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>FPG</italic>, mmol/L, mean (SD)</td>
<td align="center" valign="top">4.53 (0.43)</td>
<td align="center" valign="top">4.57 (0.45)</td>
<td align="center" valign="top">0.04 (0.01, 0.07)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>1-h OGTT</italic>, mmol/L, mean (SD)</td>
<td align="center" valign="top">7.14 (1.65)</td>
<td align="center" valign="top">7.45 (1.72)</td>
<td align="center" valign="top">0.27 (0.15,0.40)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>2-h OGTT</italic>, mmol/L, mean (SD)</td>
<td align="center" valign="top">6.25 (1.23)</td>
<td align="center" valign="top">6.47 (1.27)</td>
<td align="center" valign="top">0.21 (0.12, 0.31)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>CVH score</italic> <xref rid="tfn6" ref-type="table-fn"><sup>b</sup></xref>, mean (SD)</td>
<td align="center" valign="middle">7.09 (1.11)</td>
<td align="center" valign="middle">6.96 (1.21)</td>
<td align="center" valign="top">&#x2212;0.09(&#x2212;0.18,-0.01)</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>Hs-CRP</italic> <sup>c</sup>, Median (IQR)</td>
<td align="center" valign="top">0.35 (0.08&#x2013;0.60)</td>
<td align="center" valign="top">0.42 (0.15&#x2013;0.67)</td>
<td align="center" valign="top">0.05 (0.02,0.08)</td>
</tr>
<tr>
<td colspan="4"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CVH, cardiovascular health; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; TC, total cholesterol; FPG, fasting plasma glucose, OGTT, oral glucose tolerance test; Hs-CRP, high-sensitivity C reactive protein. Continuous data are presented as mean (standard deviation) or median (interquartile range, IQR).</p>
<fn id="tfn5">
<label>a</label>
<p>All estimates were adjusted for maternal age, education, household income, paternal smoking status, pre-pregnancy body mass index, time-to-pregnancy, gestation age at enrollment, physical activity, Mediterranean diet score, sleep duration, depressive symptoms, genital tract infection, pelvic inflammatory disease, progesterone treatment, family history of diabetes, hypertension and heart disease.</p>
</fn>
<fn id="tfn6">
<label>b</label>
<p>The CVH score has a possible range of 0 to 10 points for pregnant mothers (observed range, 2&#x2013;8 points).</p>
</fn>
<fn id="tfn7">
<label>c</label>
<p>Hs-CRP index was log10-transformed to improve normality.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec16">
<title>Association of pregnancy loss categories with CVH status and hs-CRP levels</title>
<p>We jointly classified participants according to their history of miscarriage and induced abortion to test the relations of pregnancy loss with CVH status and hs-CRP levels (<xref rid="tab3" ref-type="table">Table 3</xref>). Compared with women who had no PL, women with 3 or more pregnancy losses had an 1.58 (95% <italic>CI</italic>, 1.04 to 2.42) fold higher poor CVH status and had a significant association with increasing hs-CRP levels. And women with 3 or more induced abortions had an almost 1.67 (95% <italic>CI</italic>, 1.06 to 2.62) fold higher poor CVH status than the group who were no PL, with a significant decrease in CVH scores (<italic>&#x03B2;</italic>, &#x2013;0.26, 95% <italic>CI</italic>, &#x2212;0.49 to &#x2212;0.02). Additionally, there was a significant increase in maternal hs-CRP level in the group with 3 or more induced abortions (<italic>&#x03B2;</italic>, 0.10, 95% <italic>CI</italic>, 0.02 to 0.18). We did not observe a role for hs-CRP levels in the association between miscarriage and CVH scores. As shown as <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>, further analyses revealed a significant associations gestational BMI and blood glucose in women with pregnancy loss or induced abortions. And as shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 4</xref>, compared to women who had no history of pregnancy loss, poorer CVH status and CVH scores were significantly different for women with a history of abortion only and one or more PL.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Adjusted associations of pregnancy loss with gestational cardiovascular health status and hs-CRP levels, according to the number and type of pregnancy loss<xref rid="tfn8" ref-type="table-fn"><sup>a</sup></xref>.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">History of pregnancy losses</th>
<th align="center" valign="top" colspan="6">CVH status<xref rid="tfn9" ref-type="table-fn"><sup>b</sup></xref></th>
<th align="center" valign="top" colspan="3" rowspan="2">hs-CRP levels<xref rid="tfn10" ref-type="table-fn"><sup>c</sup></xref></th>
</tr>
<tr>
<th align="center" valign="top" colspan="3">&#x2265;1 Poor CVH metric</th>
<th align="center" valign="top" colspan="3">CVH scores</th>
</tr>
<tr>
<th align="center" valign="top"><italic>n</italic>(%)</th>
<th align="center" valign="top"><italic>RR</italic> (95% <italic>CI</italic>)</th>
<th align="center" valign="top"><italic>p-</italic>value <xref rid="tfn11" ref-type="table-fn"><sup>d</sup></xref></th>
<th align="center" valign="top">Mean (SD)</th>
<th align="center" valign="top"><italic>&#x03B2;</italic> (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">Median (IQR)</th>
<th align="center" valign="top"><italic>&#x03B2;</italic> (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><italic>Never pregnancy loss</italic> (<italic>n</italic> =&#x2009;1,562)</td>
<td align="center" valign="top">306 (19.6)</td>
<td align="center" valign="top">1.00 (Ref.)</td>
<td/>
<td align="center" valign="top">7.10 (1.11)</td>
<td align="center" valign="top">Ref.</td>
<td/>
<td align="center" valign="top">0.35 (0.08, 0.60)</td>
<td align="center" valign="top">Ref.</td>
<td/>
</tr>
<tr>
<td align="left" valign="top"><italic>Miscarriage (1&#x2013;2)</italic> (<italic>n</italic> =&#x2009;185)</td>
<td align="center" valign="top">44 (23.8)</td>
<td align="center" valign="top">1.20 (0.83, 1.72)</td>
<td align="center" valign="top">0.333</td>
<td align="center" valign="top">6.99 (1.14)</td>
<td align="center" valign="top">&#x2212;0.07(&#x2212;0.24, 0.11)</td>
<td align="center" valign="top">0.435</td>
<td align="center" valign="top">0.41 (0.18, 0.72)</td>
<td align="center" valign="top">0.06 (0.00, 0.12)</td>
<td align="center" valign="top">0.048</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Miscarriage (&#x2265;3)</italic> (<italic>n</italic> =&#x2009;14)</td>
<td align="center" valign="top">4 (28.6)</td>
<td align="center" valign="top">1.53 (0.473, 4.98)</td>
<td align="center" valign="top">0.480</td>
<td align="center" valign="top">7.00 (1.30)</td>
<td align="center" valign="top">&#x2212;0.05(&#x2212;0.65, 0.55)</td>
<td align="center" valign="top">0.874</td>
<td align="center" valign="top">0.49 (0.16, 0.74)</td>
<td align="center" valign="top">0.03(&#x2212;0.18, 0.23)</td>
<td align="center" valign="top">0.298</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Induced abortion (1&#x2013;2)</italic> (<italic>n</italic> =&#x2009;918)</td>
<td align="center" valign="top">222 (24.2)</td>
<td align="center" valign="top">1.24 (1.02, 1.51)</td>
<td align="center" valign="top">0.035</td>
<td align="center" valign="top">6.99 (1.20)</td>
<td align="center" valign="top">&#x2212;0.08(&#x2212;0.17, 0.02)</td>
<td align="center" valign="top">0.105</td>
<td align="center" valign="top">0.40 (0.15, 0.67)</td>
<td align="center" valign="top">0.05 (0.01, 0.08)</td>
<td align="center" valign="top">0.005</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Induced abortion (&#x2265;3)</italic> (<italic>n</italic> =&#x2009;99)</td>
<td align="center" valign="top">31 (31.3)</td>
<td align="center" valign="top">1.67 (1.06, 2.62)</td>
<td align="center" valign="top">0.028</td>
<td align="center" valign="top">6.79 (1.25)</td>
<td align="center" valign="top">&#x2212;0.26(&#x2212;0.49, &#x2212;0.02)</td>
<td align="center" valign="top">0.031</td>
<td align="center" valign="top">0.47 (0.15, 0.70)</td>
<td align="center" valign="top">0.10 (0.02, 0.18)</td>
<td align="center" valign="top">0.021</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Pregnancy loss (1&#x2013;2)</italic> (<italic>n</italic> =&#x2009;1,103)</td>
<td align="center" valign="top">266 (24.1)</td>
<td align="center" valign="top">1.19 (0.98, 1.44)</td>
<td align="center" valign="top">0.073</td>
<td align="center" valign="top">7.00 (1.21)</td>
<td align="center" valign="top">&#x2212;0.04(&#x2212;0.19, 0.02)</td>
<td align="center" valign="top">0.114</td>
<td align="center" valign="top">0.41 (0.15, 0.66)</td>
<td align="center" valign="top">0.06 (0.02, 0.08)</td>
<td align="center" valign="top">0.023</td>
</tr>
<tr>
<td align="left" valign="top"><italic>Pregnancy loss (&#x2265;3)</italic> (<italic>n</italic> =&#x2009;113)</td>
<td align="center" valign="top">35 (31.0)</td>
<td align="center" valign="top">1.58 (1.04, 2.42)</td>
<td align="center" valign="top">0.036</td>
<td align="center" valign="top">6.73 (1.30)</td>
<td align="center" valign="top">&#x2212;0.06(&#x2212;0.65, &#x2212;0.11)</td>
<td align="center" valign="top">0.047</td>
<td align="center" valign="top">0.48 (0.15, 0.70)</td>
<td align="center" valign="top">0.09 (0.02, 0.17)</td>
<td align="center" valign="top">0.048</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>CVH, cardiovascular health; Hs-CRP, high-sensitivity C reactive protein. Data are <italic>n</italic> (%) or mean (SD), unless otherwise specified.</p>
<fn id="tfn8">
<label>a</label>
<p>All estimates were adjusted for maternal age, education, household income, paternal smoking status, pre-pregnancy body mass index, time-to-pregnancy, gestation age at enrollment, physical activity, Mediterranean diet score, sleep duration, depressive symptoms, genital tract infection, pelvic inflammatory disease, progesterone treatment, family history of diabetes, hypertension and heart disease.</p>
</fn>
<fn id="tfn9">
<label>b</label>
<p>CVH score has a possible range of 0 to 10 points for pregnant mothers (observed range, 2&#x2013;8 points). Total CVH was also categorized into 4 mutually exclusive groups: all ideal metrics, 1 or more intermediate (but 0 poor) metrics, 1 poor metric, or 2 or more poor metrics.</p>
</fn>
<fn id="tfn10">
<label>c</label>
<p>Hs-CRP index was log10-transformed to improve normality.</p>
</fn>
<fn id="tfn11">
<label>d</label>
<p><italic>p</italic>-value is evaluated for the relative risk of poor CVH (including 1 poor CVH metric and 2 or more poor CVH metrics) among study arms.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec17">
<title>Mediation analyses: Indirect effect of hs-CRP levels on CVH status</title>
<p>As shown in <xref rid="fig1" ref-type="fig">Figure 1A</xref>, there is a negative relationship between maternal serum hs-CRP levels and CVH scores. In multivariable analysis, maternal hs-CRP was significantly associated with maternal CVH scores (<italic>&#x03B2;</italic>, &#x2212;0.47, 95% <italic>CI</italic>, &#x2212;0.58 to &#x2212;0.37), as well as each of CVH metrics. Further mediation analysis demonstrated that the contribution of maternal PL to decreased CVH scores mediated by the log10-transformed maternal serum hs-CRP (Indirect effect, &#x2212;0.0246 95% <italic>CI</italic>, &#x2013;0.0418 to &#x2013;0.0106), the proportions of indirect effects was 23.17% (<xref rid="fig1" ref-type="fig">Figure 1B</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Associations of maternal blood markers with gestational CVH. <bold>(A)</bold> &#x03B2;with 95% <italic>CI</italic> for the continuous outcomes of the log10-transformed maternal serum hs-CRP levels, are for CVH status including gestational BMI, SBP and DBP, TC, FPG, 1&#x2009;h-PG, 2&#x2009;h-PG, and CVH scores. <bold>(B)</bold> Mediation effects of maternal hs-CRP (log10 transformed) on the relationship between previous pregnancy loss and the CVH scores. Panels <bold>(A,B)</bold> adjusted confounders including maternal age, education, household income, paternal smoking status, prepregnancy BMI, time-to-pregnancy, gestation age at enrollment, physical activity, Mediterranean diet score, sleep duration, depressive symptoms, genital tract infection, pelvic inflammatory disease, progesterone treatment, family history of diabetes, hypertension and heart disease. CVH, cardiovascular health; hs-CRP, high-sensitivity C reactive protein; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; TC, total cholesterol; FPG, fasting plasma glucose; 1&#x2009;h-PG, 1&#x2009;h plasma glucose; 2&#x2009;h-PG, 2&#x2009;h plasma glucose.</p>
</caption>
<graphic xlink:href="fpubh-11-1071706-g001.tif"/>
</fig>
</sec>
</sec>
<sec id="sec18" sec-type="discussions">
<title>Discussion</title>
<p>We investigated the association between pregnancy loss and maternal CVH status in a prospective cohort study. Among those with a history of pregnancy loss, the CVH status was poorer than among those without pregnancy loss, and these associations were mediated by increased hs-CRP levels, with an indirect effect ratio of 23.2 percent. The risk of poorer CVH increased with the number of pregnancy losses, but a significant association was found only in participants who had only induced abortion. These findings further highlight how adverse reproductive events as early chronic stressors can lead to a higher risk of poor cardiovascular health.</p>
<p>Our findings are consistent with the previous findings suggesting that a history of pregnancy loss is associated with a greater risk of poor cardiovascular health. Current evidence mainly comes from retrospective cohorts and disease registry databases (<xref ref-type="bibr" rid="ref38 ref39 ref40">38&#x2013;40</xref>), most of which have reported a higher CVD risk in women with pregnancy loss. Similarly, prospective cohort studies also revealed that women with reported exposure to pregnancy loss had a greater risk of CVD than women without pregnancies ending in pregnancy loss (<xref ref-type="bibr" rid="ref38">38</xref>, <xref ref-type="bibr" rid="ref41">41</xref>). Conversely, in a Japanese cohort of 54,652 women aged 40&#x2013;79, women with recurrent pregnancy loss only had a slightly lower risk of death from total stroke, intracerebral haemorrhage, and total cardiovascular disease, but the risk of death from ischemic stroke increased two-fold among younger women aged 40&#x2013;59 (<xref ref-type="bibr" rid="ref42">42</xref>). The disputed results are likely due to the fact that these previous studies either determined pregnancy history at a single time point in the distant past through a hospital register database or a retrospective recall, which could have led to exposure misclassification.</p>
<p>We also noticed an increasing trend of higher risk for poorer CVH status with greater number of pregnancy losses. The data from a nationwide China Kadoorie Biobank recruited 302,669 Chinese women aged 30&#x2013;79&#x2009;years showed a J-shaped relationship between the number of pregnancies and a risk of CVD (<xref ref-type="bibr" rid="ref38">38</xref>). Additionally, the Danish register based study also reported a growing trend of higher mortality rates with an increasing number of miscarriages (<xref ref-type="bibr" rid="ref43">43</xref>). Recurrent miscarriage is a major stressful event in a woman&#x2019;s life and has been associated with adverse mental health problems, such as depression and anxiety after loss (<xref ref-type="bibr" rid="ref44">44</xref>). Furthermore, abortion rates among women are higher in China and may be influenced by multiple factors, including social, cultural and economic conditions. To our knowledge, women with persistent excessive bleeding, haemodynamic instability, evidence of infected retained tissue, and suspected gestational trophoblastic disease were commonly recommended to offer surgical management (<xref ref-type="bibr" rid="ref45">45</xref>). Notably, women with surgical treatment were at higher risk of complications, had severe bleeding or pain (<xref ref-type="bibr" rid="ref46">46</xref>), and had adverse effects on their social and psychological well beings (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>).</p>
<p>The association between pregnancy loss and cardiovascular disease may be explained by underlying shared mechanistic pathways, including insulin resistance, endothelial dysfunction, or inflammatory states (<xref ref-type="bibr" rid="ref49 ref50 ref51">49&#x2013;51</xref>). Likewise, endothelial dysfunction was related to pregnancy loss by causing defects of the placenta, and was also implicated in the pathogenesis of cardiovascular, microvascular, and homeostatic dysfunction (<xref ref-type="bibr" rid="ref52">52</xref>). Also, epidemiological evidence showed a proinflammatory state, manifested as increased levels of hs-CRP in women with a history of recurrent pregnancy loss, that has been strongly associated with future risk of cardiovascular diseases (<xref ref-type="bibr" rid="ref53">53</xref>). In this study, we found that the association between pregnancy loss and CVH status was interpreted by an increase in hs-CRP with mediation at 23.17%. Evidence from randomized trials found that preconception-initiated daily low-dose aspirin (LDA) treatment (anti-inflammatory drugs) could increase fecundability in certain women with a recent early pregnancy loss (<xref ref-type="bibr" rid="ref54">54</xref>). And LDA treatment may be associated with higher ratio of having a live-born male among women with 1 to 2 prior pregnancy losses, even if women were at higher levels of inflammation (<xref ref-type="bibr" rid="ref55">55</xref>). In addition, basal hs-CRP levels may have the potential to serve as a clinical marker to identify patients at increased risk of pregnancy loss (<xref ref-type="bibr" rid="ref56">56</xref>). Therefore, additional investigations of targeted interventions to reduce inflammation are needed to assess the effects on pregnancy outcomes.</p>
<p>Our findings extend the evidence from previous studies. To the best of our knowledge, this study is the first to explore whether previous pregnancy loss is associated with gestational cardiovascular health. We also reported a graded relationship between the number of induced abortions, which is similar to findings from previous studies that found a relationship between recurrent pregnancy losses and cardiovascular diseases (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>). Together, these findings further highlight how reproductive events throughout a woman&#x2019;s lifetime can serve as early markers of increased susceptibility to poor cardiovascular health during pregnancy. Although we have found that the association of pregnancy loss with CVH may be mediated by inflammatory markers, future studies should further assess the mechanisms underlying this relationship to aid efforts to prevent poor CVH in pregnant women, such as the effects of genetic predisposition.</p>
<p>The strengths of our study include its prospective study design, moderately large sample size, the availability of various reproductive characteristics, and lifestyle and health-related factors that allow us to control for confounding and examine effect modification. There are also several limitations to our study. First, some pregnancy losses may have been unreported. Because miscarriage and induced abortion are often sensitive issues, the actual incidence may be under-reported, which may result in a misclassification of exposure status and underestimate the strength of the association between pregnancy loss and CVH. Second, gestational diet and physical activity data were not included in the clinical CVH definition (which are part of the AHA&#x2019;s CVH definition) (<xref ref-type="bibr" rid="ref57">57</xref>). Although CVH based on 5 metrics has precedent and may be more clinically applicable (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref58">58</xref>), studies incorporating all 7 metrics are needed. Third, observational studies such as ours can only demonstrate an association, not causality. Whether pregnancy loss merely masks pre-existing risks or results in a worse CVH status is unknown. Last, the sample size of population was relative smaller, which may limit the generalizability of our findings. The replication of the study results need to be validated by other larger data sets.</p>
<p>In summary, an increased history and recurrence of miscarriage was associated with a higher risk of gestational cardiovascular health among Chinese pregnant women. Our findings emphasize the importance of considering a woman&#x2019;s reproductive history when assessing her risk of metabolic disorders during gestation. And more frequent screening and timely intervention may help delay or prevent the onset of cardiovascular disease in women with high rates of pregnancy loss or recurrent pregnancy loss.</p>
</sec>
<sec id="sec19" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="sec24">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="sec20">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of Anhui Medical University. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="sec21">
<title>Author contributions</title>
<p>S-sM: data acquisition and analysis and writing-original draft preparation. W-jY: data acquisition and analysis and methodology. PW: data acquisition, visualization, and software. H-xW and LZ: data acquisition and investigation. X-mJ, YZ and R-xT: investigation and validation. J-fG: study conceptualization and supervision. PZ: study conceptualization, methodology, writing-reviewing and editing. All authors have reviewed the manuscript and took responsibility for the paper.</p>
</sec>
<sec id="sec22" sec-type="funding-information">
<title>Funding</title>
<p>The research received financial support from the National Natural Science Foundation of China (82173531 and 81872631), the National Key R&#x0026;D Program of China (2022YFC2702901), and the Foundation for Scientific Research Improvement of Anhui Medical University (2021xkjT009).</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<p>We would like to thank all participants in the MIH-Hefei cohort study for their participation; the staff of the three antenatal clinics for their work and support. We gratefully acknowledge all the organizations that funded our research.</p>
</ack>
<sec id="sec24" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2023.1071706/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2023.1071706/full#supplementary-material</ext-link></p>
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</sec>
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