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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.2023.1308842</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>Knowledge, attitudes, and practices of patients with recurrent pregnancy loss toward pregnancy loss</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Mu</surname> <given-names>Fangxiang</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/2082694/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>He</surname> <given-names>Tianyu</given-names></name>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Kexin</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/1812779/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Fang</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1250523/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff><institution>Department of Reproductive Medicine, Lanzhou University Second Hospital</institution>, <addr-line>Lanzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Mohsen Saffari, Baqiyatallah University of Medical Sciences, Iran</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Ali Artaman, Zayed University, United Arab Emirates; Mirliana Ramirez-Pereira, University of Chile, Chile</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Fang Wang, <email>ery_fwang@lzu.edu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>01</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1308842</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>10</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>12</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Mu, He, Wang and Wang.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Mu, He, Wang and Wang</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 id="sec1">
<title>Objective</title>
<p>Self-management is crucial in managing recurrent pregnancy loss (RPL). This study explored the knowledge, attitudes, and practices (KAP) of patients with RPL toward RPL.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>This cross-sectional study was conducted among patients with RPL between January 2023 and June 2023 at the Second Hospital of Lanzhou University. Participants&#x2019; demographic characteristics and KAP were determined using a self-designed questionnaire (Cronbach&#x2019;s &#x03B1;&#x2009;=&#x2009;0.818). Structural equation modeling (SEM) was used to observe the correlations among KAP and different factors.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>This study analyzed 497 valid questionnaires. The mean knowledge, attitude, and practice scores were 11.59&#x2009;&#x00B1;&#x2009;4.30 (possible range: 0&#x2013;20, 57.95%), 44.17&#x2009;&#x00B1;&#x2009;3.18 (possible range: 13&#x2013;65, 67.95%), and 32.39&#x2009;&#x00B1;&#x2009;5.22 (possible range: 8&#x2013;40, 80.98%), indicating poor knowledge, moderate attitude, and proactive practice. Age was non-linearly associated with the KAP dimensions, with a positive impact of age on KAP among those aged &#x003C;32&#x2009;years old. Knowledge was directly influenced by education (&#x03B2;&#x2009;=&#x2009;1.49, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and income (&#x03B2;&#x2009;=&#x2009;1.08, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). The attitude was directly influenced by knowledge (&#x03B2;&#x2009;=&#x2009;0.25, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and indirectly influenced by education (&#x03B2;&#x2009;=&#x2009;0.37, <italic>p</italic>&#x2009;=&#x2009;0.001) and income (&#x03B2;&#x2009;=&#x2009;0.27, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Practice was directly influenced by knowledge (&#x03B2;&#x2009;=&#x2009;0.26, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), attitude (&#x03B2;&#x2009;=&#x2009;0.28, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and income (&#x03B2;&#x2009;=&#x2009;0.68, <italic>p</italic>&#x2009;=&#x2009;0.012), and indirectly influenced by knowledge (&#x03B2;&#x2009;=&#x2009;0.07, <italic>p</italic>&#x2009;=&#x2009;0.001), education (&#x03B2;&#x2009;=&#x2009;0.59, <italic>p</italic>&#x2009;=&#x2009;0.001), and income (&#x03B2;&#x2009;=&#x2009;0.42, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Women with RPL in Lanzhou show poor knowledge, moderate attitude, and proactive practice toward RPL. This study identified specific KAP items that would require improvements. The study also identified categories of patients who would need more attention.</p>
</sec>
</abstract>
<kwd-group>
<kwd>knowledge</kwd>
<kwd>attitude</kwd>
<kwd>practices</kwd>
<kwd>recurrent pregnancy loss</kwd>
<kwd>cross-sectional study</kwd>
</kwd-group>
<contract-num rid="cn1">YJS-BD-19</contract-num>
<contract-num rid="cn1">071100132</contract-num>
<contract-num rid="cn1">lzuyxcx-2022-137</contract-num>
<contract-sponsor id="cn1">Lanzhou University<named-content content-type="fundref-id">10.13039/100012899</named-content></contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="32"/>
<page-count count="8"/>
<word-count count="5360"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Health Education and Promotion</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Recurrent pregnancy loss (RPL) is defined as &#x2265;2&#x2013;3 consecutive losses of clinical pregnancy documented by ultrasound or histopathologic exam (<xref ref-type="bibr" rid="ref1 ref2 ref3">1&#x2013;3</xref>). Primary RPL refers to no prior live births or pregnancies beyond 20&#x2013;24&#x2009;weeks gestation (<xref ref-type="bibr" rid="ref4">4</xref>). Secondary RPL refers to &#x2265;1 previous live birth or pregnancy beyond 20&#x2013;24&#x2009;weeks gestation (<xref ref-type="bibr" rid="ref4">4</xref>). Clinically recognized pregnancy loss is reported in about 15&#x2013;25% of pregnancies (<xref ref-type="bibr" rid="ref1">1</xref>), and the reported prevalence of RPL is 1&#x2013;4% of all patients who achieve pregnancy (<xref ref-type="bibr" rid="ref4">4</xref>). A large-scale study in China (299,580 women) revealed a rate of RPL of 1.92% (<xref ref-type="bibr" rid="ref5">5</xref>). In Lanzhou (China), the natural miscarriage rate is 14.64% (<xref ref-type="bibr" rid="ref6">6</xref>). The cause of RPL is reported to be idiopathic in 50&#x2013;75% of cases, although it may be associated with increasing parental age (<xref ref-type="bibr" rid="ref1 ref2 ref3 ref4">1&#x2013;4</xref>). Antiphospholipid antibodies are reported in 8&#x2013;42% of patients with RPL, embryonic chromosomal abnormalities are reported in 30&#x2013;57%, and congenital uterine malformation is reported in 1.8&#x2013;37.6% (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). The general management considerations for all couples/patients with RPL include psychological support and counseling, dietary and lifestyle changes (<xref ref-type="bibr" rid="ref3">3</xref>), and referral to a specialist clinic (<xref ref-type="bibr" rid="ref2">2</xref>). Genetic counseling is recommended, while <italic>in vitro</italic> fertilization with preimplantation genetic testing is not recommended to treat RPL because it has not been shown to improve live birth rates (<xref ref-type="bibr" rid="ref2 ref3 ref4">2&#x2013;4</xref>). Patients with identified causes of RPL (e.g., thrombophilia, metabolic or hormonal abnormalities, and uterine abnormalities) should first have their condition managed (<xref ref-type="bibr" rid="ref3">3</xref>).</p>
<p>Hence, the management of RPL requires the active participation of the women. Indeed, women with RPL should seek psychological and genetic counseling. The management of RPL also involves changes in lifestyle habits, including taking multivitamins and vitamin D supplements, stopping smoking, attaining and maintaining a normal range body mass index (BMI), and limiting alcohol consumption (<xref ref-type="bibr" rid="ref2">2</xref>). Women should also advise their spouses to make the same changes in lifestyle habits (<xref ref-type="bibr" rid="ref3">3</xref>). Therefore, the management of RPL actively involves self-management. Still, a basis of self-management is a proper knowledge of the disease and its management (<xref ref-type="bibr" rid="ref7">7</xref>). The results of knowledge, attitude, and practice (KAP) can be used to design educational interventions to improve the management of a specific condition (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). Knowledge is the basic information and data required as the basis to have motivation toward a given subject and practice. Attitude is the motivation toward a given subject and is the force driving practice (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). Practice is the actions taken to perform and apply the subject. The KAP theory entails that practices can be changed by modulating attitudes through knowledge.</p>
<p>In Saudi Arabia, about 50% of women had knowledge of RPL, but the KAP was generally poor (<xref ref-type="bibr" rid="ref10">10</xref>), as supported by another study from Egypt (<xref ref-type="bibr" rid="ref11">11</xref>). A previous study in Qatar revealed numerous misconceptions about RPL (<xref ref-type="bibr" rid="ref12">12</xref>). Healthcare providers are often a primary source of medical information for patients, and such professionals often display poor knowledge of miscarriage (<xref ref-type="bibr" rid="ref13">13</xref>). Still, KAP is highly dependent upon the culture, society, economic status, and customs and can vary among countries. No KAP data regarding RPL are available from China.</p>
<p>China participates in the Millennium Development Goals (MDGs). As one of the biggest developing countries, China achieved great progress in improving maternal health by achieving the MDG 5.A (i.e., reducing maternal mortality by 75% between 1990 and 2015) and MDG 5.B (i.e., universal access to reproductive health services) (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>). China also applies the Sustainable Development Goals (SDGs) 3, which entails that a country makes efforts to achieve universal health coverage with equal access to affordable, accountable, and appropriate health services of certified quality (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref17">17</xref>). China offers life-round preventive and curative health services to women, with universal access to reproductive health services (<xref ref-type="bibr" rid="ref14">14</xref>). Still, the reproductive health workforce has been shown to be unequally distributed in the country (<xref ref-type="bibr" rid="ref15">15</xref>), and efforts are being taken to remedy the situation. The present study was performed in Lanzhou, the capital of Gansu Province. The per-capita gross domestic product ranks 134 among 659 Chinese cities.</p>
<p>The China Consensus on the Diagnosis and Treatment of Recurrent Abortion (2022) (<xref ref-type="bibr" rid="ref18">18</xref>) emphasizes that post-pregnancy psychological factors, lifestyle, and post-pregnancy monitoring and management should not be overlooked and should be inquired during the miscarriage workup. The exposure to adverse lifestyles and environmental factors should be documented. Psychological assessments and counseling should be provided. Unhealthy lifestyle habits should be corrected. The patients should be closely monitored in early pregnancy with regular checkups and examinations.</p>
<p>Therefore, this study aimed to examine the KAP of patients with RPL toward RPL in Lanzhou. In the context of the present study, knowledge is the knowledge about what recurrent pregnancy loss is, the possible causes, and the possible management methods. Attitude represents what the women think about multiple biochemical pregnancies, the management of RPL, the biological meaning of RPL, the importance of identifying the causes of RPL, the women&#x2019;s worries about themselves and their spouses, and the women&#x2019;s trust in physicians. Practice is what the women are actually doing regarding RPL, i.e., if they participate in training, what they do if an abortion is inevitable, and their life behaviors.</p>
</sec>
<sec sec-type="methods" id="sec6">
<label>2</label>
<title>Methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Study design and participants</title>
<p>This cross-sectional study was conducted between January 2023 and June 2023 at the Second Hospital of Lanzhou University among patients with RPL. The study was approved by the ethics committee of the Second Hospital of Lanzhou University. All participants signed the informed consent form before completing the questionnaire.</p>
<p>The inclusion criteria were (1) history of at least two spontaneous abortions (manifestations of biochemical pregnancy, empty gestational sac, gradual cessation of embryonic development, embryonic or fetal death, and expulsion of the embryo and its appendages; this study was about women with RPL), (2) desire to have a child (the women were seeking medical help for RPL because they were still wanting a child), and (3) ability to use the Chinese language to read and communicate (to be able to complete the questionnaire). The exclusion criteria were (1) &#x003C;18&#x2009;years of age (this study only included adults), (2) severe cognitive impairment or previous history of dementia or psychosis (such factors could influence the patient&#x2019;s grasp of reality or understanding), or (3) unwilling to sign the informed consent form (mandatory for all prospective human studies).</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Questionnaire</title>
<p>A self-designed questionnaire with four dimensions was developed based on the <italic>Expert Consensus on the diagnosis and treatment of recurrent abortion (2022)</italic> (<xref ref-type="bibr" rid="ref18">18</xref>) and was modified according to the comments from two experts in the field of obstetrics and gynecology and one expert in the field of psychology, leading to the deletion of some similar or repetitive questions and the adjustment and refinement of some questions that were not clearly formulated. A small-scale pilot study (50 samples) was conducted. Cronbach&#x2019;s &#x03B1; was 0.818, indicating a relatively high level of internal consistency.</p>
<p>The final questionnaire consisted of (1) demographic characteristics (age, residence, education, work status, monthly income, BMI, fertility status, live births, and previous abortions), (2) knowledge dimension (for each of the 10 questions in this category, participants were assigned scores based on their responses, with a score of 2 for very well-known, 1 for having heard of it, or 0 for unclear), (3) attitudes dimension [each of the 13 questions in this category was scored on a five-point Likert scale, ranging from very positive (5 points) to very negative (1 point)], and (4) practices dimension [each of the eight questions in this category was also scored on a five-point Likert scale ranging from always (5 points) to never (1 point)]. The total score for each dimension was the sum of the scores of all items within a given dimension, and the mean score for each dimension was calculated using unweighted arithmetic means. Higher scores for each dimension indicated adequate knowledge, more positive attitudes, and more proactive practices. The participants&#x2019; overall knowledge, attitude, and practice scores were categorized using a modified Bloom&#x2019;s criteria cutoff point: 80&#x2013;100% were considered good knowledge, positive attitude, and appropriate practice, respectively; 60&#x2013;79% was considered moderate; &#x003C;60% was considered poor knowledge, negative attitude, and inappropriate practice, respectively (<xref ref-type="bibr" rid="ref19">19</xref>).</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Questionnaire administration</title>
<p>An online questionnaire was constructed using the WeChat-based Questionnaire Star applet. A QR code was generated to collect data through WeChat. The participants scanned the QR code sent via WeChat to log in and complete the questionnaire. The questionnaire&#x2019;s homepage served as the informed consent for this study. Before distributing the questionnaire, researchers explained the purpose, significance, content, and survey instructions. Researchers were present throughout the survey process and provided on-site supervision. Any questions that research subjects found unclear or did not understand during the survey process were promptly explained by the researchers.</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Quality control</title>
<p>In order to ensure the quality and integrity of the questionnaire results, all items were mandatory. The research team members examined the completeness, internal coherence, and reasonableness of all questionnaires. A given IP address could be used only once to submit a questionnaire. Two data management personnel reviewed the data from the previous day in the Questionnaire Star backend system at 9:00&#x2009;AM daily. Clearly erroneous or illogical data entries were recorded, and feedback was provided to the clinical researchers. Researchers then contacted patients to verify the accuracy of the data. If data errors were identified, data management personnel added comments in the Questionnaire Star backend system to help data cleaning personnel identify data errors.</p>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>Statistical analysis</title>
<p>The continuous variables were described using means&#x2009;&#x00B1;&#x2009;standard deviations (SD) and analyzed using Student&#x2019;s <italic>t</italic>-test or ANOVA. The categorical variables were described using <italic>n</italic> (%) and analyzed using the chi-square test. Pearson correlation analysis was used to assess the correlations between knowledge, attitude, and practice scores. Restricted cubic splines (RCS) were used to examine the non-linear relationship between age and KAP, with variables included based on logistic univariable analyses with <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. Structural equation modeling (SEM) is a multivariate statistical analysis technique used to analyze structural relationships among the included variables. This technique combines factor analysis and multiple regression analysis, and it is used to analyze the structural relationship between measured variables and latent constructs (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref21">21</xref>). In the present study, SEM was used to observe the correlations among KAP and different factors. The working hypotheses for the SEM were (1) knowledge directly influences attitude, (2) attitude directly influences practice, (3) knowledge directly and indirectly influences practice, and (4) demographic factors like income, education, and body mass index will directly and indirectly influence KAP dimensions. The analyses were performed using R 4.3.1 (for RCS) and Stata 17.0 (Stata Corporation, College Station, TX, United States; for all other analyses). Two-sided <italic>p</italic>-values &#x003C;0.05 were considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec12">
<label>3</label>
<title>Results</title>
<sec id="sec13">
<label>3.1</label>
<title>Characteristics of the participants</title>
<p>A total of 500 questionnaires were collected, and 497 (99.40%) were valid questionnaires (one participant completed the questionnaire within 4&#x2009;s, which is impossible when reading the questions, and two participants reported impossible BMI data that could not be verified). The participants were 32.28&#x2009;&#x00B1;&#x2009;4.28&#x2009;years old, had a BMI of 22.46&#x2009;&#x00B1;&#x2009;3.03&#x2009;kg/m<sup>2</sup>, 81.89% were residing in urban areas, and most had a junior college or undergraduate education (71.03%), were employed (62.98%), had a monthly income of 5,000&#x2013;15,000 (48.49%), were preparing for pregnancy (50.30%), had no previous live births (73.44%), and had two previous spontaneous abortions (51.91%; <xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Baseline characteristics and KAP scores.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" rowspan="2"><italic>n</italic> (%)</th>
<th align="center" valign="top" colspan="2">Knowledge score</th>
<th align="center" valign="top" colspan="2">Attitudes score</th>
<th align="center" valign="top" colspan="2">Practices score</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">Mean&#x2009;&#x00B1;&#x2009;SD</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">Mean&#x2009;&#x00B1;&#x2009;SD</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">Mean&#x2009;&#x00B1;&#x2009;SD</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Total</td>
<td/>
<td align="center" valign="bottom">11.59&#x2009;&#x00B1;&#x2009;4.30</td>
<td/>
<td align="center" valign="bottom">44.17&#x2009;&#x00B1;&#x2009;3.18</td>
<td/>
<td align="center" valign="bottom">32.39&#x2009;&#x00B1;&#x2009;5.22</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="middle">32.28&#x2009;&#x00B1;&#x2009;4.28</td>
<td align="center" valign="bottom">-</td>
<td/>
<td align="center" valign="bottom">-</td>
<td/>
<td align="center" valign="bottom">-</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Residence</td>
<td/>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">0.037</td>
<td/>
<td align="center" valign="middle">0.025</td>
</tr>
<tr>
<td align="left" valign="top">Urban</td>
<td align="center" valign="bottom">407 (81.89)</td>
<td align="center" valign="bottom">12.00&#x2009;&#x00B1;&#x2009;4.24</td>
<td/>
<td align="center" valign="bottom">44.31&#x2009;&#x00B1;&#x2009;3.24</td>
<td/>
<td align="center" valign="bottom">32.64&#x2009;&#x00B1;&#x2009;5.25</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-Urban</td>
<td align="center" valign="middle">90 (18.11)</td>
<td align="center" valign="bottom">9.74&#x2009;&#x00B1;&#x2009;4.12</td>
<td/>
<td align="center" valign="bottom">43.53&#x2009;&#x00B1;&#x2009;2.81</td>
<td/>
<td align="center" valign="bottom">31.28&#x2009;&#x00B1;&#x2009;4.96</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Education</td>
<td/>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">High school and below</td>
<td align="center" valign="bottom">106 (21.33)</td>
<td align="center" valign="bottom">9.35&#x2009;&#x00B1;&#x2009;4.38</td>
<td/>
<td align="center" valign="bottom">43.17&#x2009;&#x00B1;&#x2009;2.60</td>
<td/>
<td align="center" valign="bottom">29.88&#x2009;&#x00B1;&#x2009;5.71</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Junior college/undergraduate</td>
<td align="center" valign="bottom">353 (71.03)</td>
<td align="center" valign="bottom">12.07&#x2009;&#x00B1;&#x2009;4.06</td>
<td/>
<td align="center" valign="bottom">44.36&#x2009;&#x00B1;&#x2009;3.28</td>
<td/>
<td align="center" valign="bottom">32.99&#x2009;&#x00B1;&#x2009;4.95</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Postgraduate and above</td>
<td align="center" valign="middle">38 (7.65)</td>
<td align="center" valign="bottom">13.39&#x2009;&#x00B1;&#x2009;4.10</td>
<td/>
<td align="center" valign="bottom">45.16&#x2009;&#x00B1;&#x2009;3.09</td>
<td/>
<td align="center" valign="bottom">33.92&#x2009;&#x00B1;&#x2009;3.96</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Work status</td>
<td/>
<td/>
<td align="center" valign="middle">0.002</td>
<td/>
<td align="center" valign="middle">0.025</td>
<td/>
<td align="center" valign="middle">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Employed</td>
<td align="center" valign="bottom">313 (62.98)</td>
<td align="center" valign="bottom">12.17&#x2009;&#x00B1;&#x2009;4.33</td>
<td/>
<td align="center" valign="bottom">44.46&#x2009;&#x00B1;&#x2009;3.19</td>
<td/>
<td align="center" valign="bottom">32.93&#x2009;&#x00B1;&#x2009;5.09</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Unemployed</td>
<td align="center" valign="bottom">75 (15.09)</td>
<td align="center" valign="bottom">10.63&#x2009;&#x00B1;&#x2009;3.78</td>
<td/>
<td align="center" valign="bottom">43.71&#x2009;&#x00B1;&#x2009;2.87</td>
<td/>
<td align="center" valign="bottom">30.56&#x2009;&#x00B1;&#x2009;5.85</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Self-employed</td>
<td align="center" valign="middle">34 (6.84)</td>
<td align="center" valign="bottom">11.00&#x2009;&#x00B1;&#x2009;4.30</td>
<td/>
<td align="center" valign="bottom">43.53&#x2009;&#x00B1;&#x2009;2.50</td>
<td/>
<td align="center" valign="bottom">31.32&#x2009;&#x00B1;&#x2009;5.57</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Housewife</td>
<td align="center" valign="bottom">53 (10.66)</td>
<td align="center" valign="bottom">10.08&#x2009;&#x00B1;&#x2009;4.67</td>
<td/>
<td align="center" valign="bottom">43.23&#x2009;&#x00B1;&#x2009;3.69</td>
<td/>
<td align="center" valign="bottom">31.94&#x2009;&#x00B1;&#x2009;4.58</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="center" valign="bottom">22 (4.43)</td>
<td align="center" valign="bottom">11.14&#x2009;&#x00B1;&#x2009;3.27</td>
<td/>
<td align="center" valign="bottom">44.77&#x2009;&#x00B1;&#x2009;3.13</td>
<td/>
<td align="center" valign="bottom">33.73&#x2009;&#x00B1;&#x2009;4.20</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Income, 10, 000&#x2009;yuan</td>
<td/>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
<td/>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;5</td>
<td align="center" valign="middle">124 (24.95)</td>
<td align="center" valign="bottom">9.80&#x2009;&#x00B1;&#x2009;4.66</td>
<td/>
<td align="center" valign="bottom">43.23&#x2009;&#x00B1;&#x2009;2.58</td>
<td/>
<td align="center" valign="bottom">30.73&#x2009;&#x00B1;&#x2009;5.59</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">5&#x2013;15</td>
<td align="center" valign="bottom">241 (48.49)</td>
<td align="center" valign="bottom">11.60&#x2009;&#x00B1;&#x2009;4.03</td>
<td/>
<td align="center" valign="bottom">44.19&#x2009;&#x00B1;&#x2009;3.33</td>
<td/>
<td align="center" valign="bottom">32.47&#x2009;&#x00B1;&#x2009;5.06</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">16&#x2013;30</td>
<td align="center" valign="bottom">98 (19.72)</td>
<td align="center" valign="bottom">12.93&#x2009;&#x00B1;&#x2009;3.76</td>
<td/>
<td align="center" valign="bottom">45.14&#x2009;&#x00B1;&#x2009;3.09</td>
<td/>
<td align="center" valign="bottom">33.76&#x2009;&#x00B1;&#x2009;4.71</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;30</td>
<td align="center" valign="bottom">34 (6.84)</td>
<td align="center" valign="bottom">14.15&#x2009;&#x00B1;&#x2009;3.72</td>
<td/>
<td align="center" valign="bottom">44.65&#x2009;&#x00B1;&#x2009;3.44</td>
<td/>
<td align="center" valign="bottom">33.97&#x2009;&#x00B1;&#x2009;4.82</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">BMI (kg/m<sup>2</sup>)</td>
<td align="center" valign="bottom">22.46&#x2009;&#x00B1;&#x2009;3.03</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Fertility status</td>
<td/>
<td/>
<td align="center" valign="middle">0.013</td>
<td/>
<td align="center" valign="middle">0.005</td>
<td/>
<td align="center" valign="middle">0.011</td>
</tr>
<tr>
<td align="left" valign="top">Pregnancy preparation</td>
<td align="center" valign="bottom">250 (50.30)</td>
<td align="center" valign="bottom">11.22&#x2009;&#x00B1;&#x2009;4.45</td>
<td/>
<td align="center" valign="bottom">43.70&#x2009;&#x00B1;&#x2009;3.14</td>
<td/>
<td align="center" valign="bottom">31.72&#x2009;&#x00B1;&#x2009;5.10</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Early pregnancy</td>
<td align="center" valign="bottom">125 (25.15)</td>
<td align="center" valign="bottom">11.42&#x2009;&#x00B1;&#x2009;4.15</td>
<td/>
<td align="center" valign="bottom">44.30&#x2009;&#x00B1;&#x2009;3.30</td>
<td/>
<td align="center" valign="bottom">32.38&#x2009;&#x00B1;&#x2009;5.48</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Mid pregnancy</td>
<td align="center" valign="bottom">52 (10.46)</td>
<td align="center" valign="bottom">12.25&#x2009;&#x00B1;&#x2009;3.77</td>
<td/>
<td align="center" valign="bottom">44.77&#x2009;&#x00B1;&#x2009;2.95</td>
<td/>
<td align="center" valign="bottom">33.79&#x2009;&#x00B1;&#x2009;4.87</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Late pregnancy</td>
<td align="center" valign="bottom">35 (7.04)</td>
<td align="center" valign="bottom">11.66&#x2009;&#x00B1;&#x2009;3.77</td>
<td/>
<td align="center" valign="bottom">44.89&#x2009;&#x00B1;&#x2009;3.58</td>
<td/>
<td align="center" valign="bottom">34.03&#x2009;&#x00B1;&#x2009;4.76</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Postpartum</td>
<td align="center" valign="bottom">35 (7.04)</td>
<td align="center" valign="bottom">13.80&#x2009;&#x00B1;&#x2009;3.87</td>
<td/>
<td align="center" valign="bottom">45.40&#x2009;&#x00B1;&#x2009;2.30</td>
<td/>
<td align="center" valign="bottom">33.54&#x2009;&#x00B1;&#x2009;5.44</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Times of previous live births</td>
<td/>
<td/>
<td align="center" valign="middle">0.146</td>
<td/>
<td align="center" valign="middle">0.372</td>
<td/>
<td align="center" valign="middle">0.785</td>
</tr>
<tr>
<td align="left" valign="top">0</td>
<td align="center" valign="bottom">365 (73.44)</td>
<td align="center" valign="bottom">11.76&#x2009;&#x00B1;&#x2009;4.18</td>
<td/>
<td align="center" valign="bottom">44.09&#x2009;&#x00B1;&#x2009;3.19</td>
<td/>
<td align="center" valign="bottom">32.43&#x2009;&#x00B1;&#x2009;5.03</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;1</td>
<td align="center" valign="bottom">132 (26.56)</td>
<td align="center" valign="bottom">11.12&#x2009;&#x00B1;&#x2009;4.61</td>
<td/>
<td align="center" valign="bottom">44.38&#x2009;&#x00B1;&#x2009;3.14</td>
<td/>
<td align="center" valign="bottom">32.29&#x2009;&#x00B1;&#x2009;5.75</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Times of previous abortion</td>
<td/>
<td/>
<td align="center" valign="middle">0.193</td>
<td/>
<td align="left" valign="top">0.934</td>
<td/>
<td align="left" valign="top">0.180</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="left" valign="top">258 (51.91)</td>
<td align="left" valign="top">11.25&#x2009;&#x00B1;&#x2009;4.18</td>
<td/>
<td align="left" valign="top">44.12&#x2009;&#x00B1;&#x2009;3.14</td>
<td/>
<td align="left" valign="top">32.31&#x2009;&#x00B1;&#x2009;5.14</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">3</td>
<td align="left" valign="top">138 (27.77)</td>
<td align="left" valign="top">11.99&#x2009;&#x00B1;&#x2009;4.37</td>
<td/>
<td align="left" valign="top">44.20&#x2009;&#x00B1;&#x2009;3.32</td>
<td/>
<td align="left" valign="top">32.53&#x2009;&#x00B1;&#x2009;5.04</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;4</td>
<td align="left" valign="top">101 (20.32)</td>
<td align="left" valign="top">11.89&#x2009;&#x00B1;&#x2009;4.48</td>
<td/>
<td align="left" valign="top">44.25&#x2009;&#x00B1;&#x2009;3.11</td>
<td/>
<td align="left" valign="top">32.44&#x2009;&#x00B1;&#x2009;5.69</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec14">
<label>3.2</label>
<title>Knowledge</title>
<p>The mean knowledge score was 11.59&#x2009;&#x00B1;&#x2009;4.30 (possible range: 0&#x2013;20, 57.95%), indicating poor knowledge. Higher knowledge scores were observed in urban residents (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), higher education (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), employment (<italic>p</italic>&#x2009;=&#x2009;0.002), higher income (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and postpartum (<italic>p</italic>&#x2009;=&#x2009;0.013) (<xref ref-type="table" rid="tab1">Table 1</xref>). The items with the lowest knowledge score were K7 (<italic>&#x201C;If patients with recurrent abortion are diagnosed with hypothyroidism, they need to take levothyroxine.&#x201D;</italic>) and K9 (<italic>&#x201C;Currently, there is no evidence to suggest that vitamin D can reduce the risk of miscarriage, but regular intake of vitamin D supplements may reduce the risk of pregnancy complications&#x201D;</italic>), while the item with the highest score was K5 (<italic>&#x201C;5. Although no single treatment can completely prevent recurrent miscarriages, maintaining a healthy lifestyle is still a wise choice&#x201D;</italic>) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>).</p>
</sec>
<sec id="sec15">
<label>3.3</label>
<title>Attitude</title>
<p>The mean attitude score was 44.17&#x2009;&#x00B1;&#x2009;3.18 (possible range: 13&#x2013;65, 67.95%), indicating moderate attitudes. Higher attitude scores were observed in urban residents (<italic>p</italic>&#x2009;=&#x2009;0.037), higher education (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), employment (<italic>p</italic>&#x2009;=&#x2009;0.025), higher income (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and postpartum (<italic>p</italic>&#x2009;=&#x2009;0.005) (<xref ref-type="table" rid="tab1">Table 1</xref>). The item with the lowest attitude score was A7 (<italic>&#x201C;I frequently worry about the possibility of recurrent miscarriage, leading to feelings of nervousness and anxiety.&#x201D;</italic>), while the item with the highest score was A8 (<italic>&#x201C;Family care and support are very important to me.&#x201D;</italic>) (<xref ref-type="supplementary-material" rid="SM2">Supplementary Table S2</xref>).</p>
</sec>
<sec id="sec16">
<label>3.4</label>
<title>Practice</title>
<p>The mean practice score was 32.39&#x2009;&#x00B1;&#x2009;5.22 (possible range: 8&#x2013;40, 80.98%), indicating proactive practice. Higher practice scores were observed in urban residents (<italic>p</italic>&#x2009;=&#x2009;0.025), higher education (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), employment (<italic>p</italic>&#x2009;=&#x2009;0.003), higher income (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and late pregnancy (<italic>p</italic>&#x2009;=&#x2009;0.011) (<xref ref-type="table" rid="tab1">Table 1</xref>). The item with the lowest practice score was P3.4 (&#x201C;Engage in moderate exercise, avoiding obesity.&#x201D;), while the item with the highest score was P3.2 (&#x201C;Abstain from alcohol.&#x201D;) (<xref ref-type="supplementary-material" rid="SM3">Supplementary Table S3</xref>).</p>
</sec>
<sec id="sec17">
<label>3.5</label>
<title>Correlations</title>
<p>Pearson correlation analysis showed the knowledge scores were correlated to the attitude (<italic>r</italic>&#x2009;=&#x2009;0.368, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and practice (<italic>r</italic>&#x2009;=&#x2009;0.310, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) scores, while the attitude scores were correlated to the practice scores (<italic>r</italic>&#x2009;=&#x2009;0.271, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Pearson correlation analysis.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Knowledge</th>
<th align="center" valign="top">Attitude</th>
<th align="center" valign="top">Practice</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Knowledge</td>
<td align="center" valign="top">1</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Attitude</td>
<td align="center" valign="bottom">0.368 (<italic>p</italic> &#x003C;&#x2009;0.001)</td>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Practice</td>
<td align="center" valign="bottom">0.310 (<italic>p</italic> &#x003C;&#x2009;0.001)</td>
<td align="center" valign="bottom">0.271 (<italic>p</italic> &#x003C;&#x2009;0.001)</td>
<td align="center" valign="top">1</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec18">
<label>3.6</label>
<title>Restricted spline regression</title>
<p>As shown in <xref ref-type="fig" rid="fig1">Figure 1</xref> and <xref ref-type="table" rid="tab3">Table 3</xref>, age was positively associated with knowledge when aged &#x003C;32&#x2009;years old (OR&#x2009;=&#x2009;1.03, 95%CI: 1.01&#x2013;1.04), but not after 32 (OR&#x2009;=&#x2009;0.99, 95%CI: 0.98&#x2013;1.05). Age was positively associated with attitude when aged younger than 32&#x2009;years (OR&#x2009;=&#x2009;1.52, 95%CI: 1.49&#x2013;1.55) but was negatively associated with attitude among participants aged &#x003E;32&#x2009;years old (OR&#x2009;=&#x2009;0.69, 95%CI: 0.67&#x2013;0.70). Similarly, age was positively associated with the practice when aged &#x003C;32&#x2009;years scores (OR&#x2009;=&#x2009;1.52, 95%CI: 1.49&#x2013;1.55) but negatively associated after 32 (OR&#x2009;=&#x2009;0.69, 95%CI: 0.67&#x2013;0.70).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Impact of age on <bold>(A)</bold> knowledge, <bold>(B)</bold> attitudes, and <bold>(C)</bold> practice toward recurrent abortions.</p>
</caption>
<graphic xlink:href="fpubh-11-1308842-g001.tif"/>
</fig>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Restricted spline regression (RCS).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top"><italic>n</italic> (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Knowledge</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">[0, 14]</td>
<td align="center" valign="top">364 (73.24)</td>
</tr>
<tr>
<td align="left" valign="top">(14, 20]</td>
<td align="center" valign="top">133 (26.76)</td>
</tr>
<tr>
<td align="left" valign="top">Attitude</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">[13, 45.50]</td>
<td align="center" valign="top">338 (68.01)</td>
</tr>
<tr>
<td align="left" valign="top">(45.50, 65]</td>
<td align="center" valign="top">159 (31.99)</td>
</tr>
<tr>
<td align="left" valign="top">Practice</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">[8, 28]</td>
<td align="center" valign="top">103 (20.72)</td>
</tr>
<tr>
<td align="left" valign="top">(28, 40]</td>
<td align="center" valign="top">394 (79.28)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The moderator variables in knowledge were location, education, job status, income, and pregnancy status. The moderator variables in attitude were education, income, body mass index, and pregnancy status. The moderator variables in practice were education and income.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec19">
<label>3.7</label>
<title>Structural equation modeling</title>
<p>As shown in <xref ref-type="fig" rid="fig2">Figure 2</xref> and <xref ref-type="table" rid="tab4">Table 4</xref>, knowledge was directly influenced by knowledge (&#x03B2;&#x2009;=&#x2009;1.49, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and income (&#x03B2;&#x2009;=&#x2009;1.08, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). The attitude was directly influenced by knowledge (&#x03B2;&#x2009;=&#x2009;0.25, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and indirectly influenced by education (&#x03B2;&#x2009;=&#x2009;0.37, <italic>p</italic>&#x2009;=&#x2009;0.001) and income (&#x03B2;&#x2009;=&#x2009;0.27, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Practice was directly influenced by knowledge (&#x03B2;&#x2009;=&#x2009;0.26, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), attitude (&#x03B2;&#x2009;=&#x2009;0.28, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and income (&#x03B2;&#x2009;=&#x2009;0.68, <italic>p</italic>&#x2009;=&#x2009;0.012), and indirectly influenced by knowledge (&#x03B2;&#x2009;=&#x2009;0.07, <italic>p</italic>&#x2009;=&#x2009;0.001), education (&#x03B2;&#x2009;=&#x2009;0.59, <italic>p</italic>&#x2009;=&#x2009;0.001), and income (&#x03B2;&#x2009;=&#x2009;0.42, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Structural equation modeling.</p>
</caption>
<graphic xlink:href="fpubh-11-1308842-g002.tif"/>
</fig>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Structural equation modeling.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Model paths</th>
<th align="center" valign="top" colspan="2">Direct effect</th>
<th align="center" valign="top" colspan="2">Indirect effect</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">&#x03B2; (95% CI)</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">&#x03B2; (95% CI)</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Education &#x2192; Knowledge</td>
<td align="center" valign="top">1.49 (0.72, 2.26)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Income &#x2192; Knowledge</td>
<td align="center" valign="top">1.08 (0.61, 1.55)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Knowledge &#x2192; Attitude</td>
<td align="center" valign="top">0.25 (0.18, 0.31)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Education &#x2192; Attitude</td>
<td align="center" valign="top">0.33 (&#x2212;0.23, 0.90)</td>
<td align="center" valign="top">0.246</td>
<td align="center" valign="top">0.37 (0.16, 0.58)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Income &#x2192; Attitude</td>
<td align="center" valign="top">0.23 (&#x2212;0.12, 0.58)</td>
<td align="center" valign="top">0.195</td>
<td align="center" valign="top">0.27 (0.13, 0.40)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">BMI&#x2009;&#x2192;&#x2009;Attitude</td>
<td align="center" valign="top">&#x2212;0.002 (&#x2212;0.09, 0.08)</td>
<td align="center" valign="top">0.957</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Knowledge &#x2192; Practice</td>
<td align="center" valign="top">0.26 (0.15, 0.37)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">0.07 (0.03, 0.11)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Attitude &#x2192; Practice</td>
<td align="center" valign="top">0.28 (0.14, 0.43)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">Education &#x2192; Practice</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">0.59 (0.25, 0.92)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Income &#x2192; Practice</td>
<td align="center" valign="top">0.68 (0.15, 1.21)</td>
<td align="center" valign="top">0.012</td>
<td align="center" valign="top">0.42 (0.20, 0.64)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">BMI&#x2009;&#x2192;&#x2009;Practice</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">&#x2212;0.001 (&#x2212;0.02, 0.02)</td>
<td align="center" valign="top">0.957</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Structural equation modeling is a multivariate statistical analysis technique used to analyze structural relationships among the included variables. This technique combines factor analysis and multiple regression analysis, and it is used to analyze the structural relationship between measured variables and latent constructs.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec20">
<label>4</label>
<title>Discussion</title>
<p>This study suggested that women with RPL in Lanzhou show poor knowledge, moderate attitude, and proactive practice toward RPL. This study identified specific KAP items that would require improvements. The study also identified categories of patients who would need more attention.</p>
<p>Few data regarding the KAP toward RPL are available in the literature. In Saudi Arabia, Tyagi et al. (<xref ref-type="bibr" rid="ref10">10</xref>) reported that about 50% of the women had some knowledge of RPL and that 60% had positive attitudes, but the study identified several points to be improved, especially regarding the roles of lifting heavy objects, previous contraception methods, and sexually transmitted diseases. Practice regarding medical help also had to be improved. In Egypt, Salama et al. (<xref ref-type="bibr" rid="ref11">11</xref>) showed that &#x003E;50% of the women had poor knowledge, but about 67% had positive attitudes. In the present study, the knowledge was poor, but attitudes were moderate, and practice was proactive. Hence, these results suggest that many women followed the physicians&#x2019; recommendations without understanding why they performed specific actions to improve their chances of pregnancy.</p>
<p>Age is a major factor affecting fertility, and women are aware that advancing age toward inexorable menopause decreases their chances of having a baby (<xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref23">23</xref>). Accordingly, the present study showed that in women younger than 32, age was positively associated with knowledge, attitude, and practice, while after 32, age was negatively associated with attitude and practice, suggesting that with advancing age, the women with RPL are losing confidence in eventually achieving a pregnancy and pay less attention to the self-management to increase the likelihood of pregnancy. On the other hand, although Salama et al. (<xref ref-type="bibr" rid="ref11">11</xref>) did not analyze age and attitude using non-linear regression, they showed that the frequency of negative attitudes was much more frequent in younger women. It could be due to social differences between Egypt and China and the social, spouse, and peer pressure to achieve a pregnancy. Bailey et al. (<xref ref-type="bibr" rid="ref24">24</xref>) also showed that women hoped for a pregnancy but expected the worst, especially with advancing age. Tavoli et al. (<xref ref-type="bibr" rid="ref25">25</xref>) also showed that women generally gained more negative attitudes with the number of recurrent abortions, which was not observed in the present study, but the number of abortions and age are inevitably covariates, and the statistical significance could be lost.</p>
<p>The present study showed that the women with higher education and income had better KAP toward RPL. It is generally supported by the fact that health literacy is directly related to socioeconomic status (<xref ref-type="bibr" rid="ref26">26</xref>). Accordingly, and supporting the poor knowledge observed in the present study, Munakampe et al. (<xref ref-type="bibr" rid="ref27">27</xref>) reported poor knowledge of reproductive health in low- and middle-income countries. On the other hand, Campillo et al. (<xref ref-type="bibr" rid="ref28">28</xref>) reported no association between education and the risk factors for spontaneous abortion, but their study only enrolled university students.</p>
<p>According to the KAP theory, knowledge is the basis for practice, while attitude is the force driving practice (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). In the present study, the Pearson and SEM analyses showed that knowledge positively influenced attitude and practice, and attitude positively influenced practice. Hence, improving knowledge should directly impact attitude and practice. Especially, the definition of RPL, the etiology of RPL, and the management of comorbidities that can increase the risk of RPL should be properly taught to the general population. Such misconceptions were also previously observed in Saudi Arabia (<xref ref-type="bibr" rid="ref10">10</xref>) and Qatar (<xref ref-type="bibr" rid="ref12">12</xref>). Still, a study showed that Flemish midwives had a poor knowledge of RPL (<xref ref-type="bibr" rid="ref13">13</xref>). Since healthcare providers are a major source of medical information for many people, such providers working with pregnant women should be properly trained on RPL.</p>
<p>This study has limitations. The study was conducted at a single center, limiting the sample size and the generalizability of the study. Indeed, healthcare literacy and KAP are often associated with socioeconomic status (<xref ref-type="bibr" rid="ref26">26</xref>), which varies widely among geographical areas in China (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref30">30</xref>). Although it was a prospective study, the questionnaire was self-designed by the investigators according to the local practices and policies, limiting generalizability. The study was cross-sectional, preventing any analysis of causality. A SEM analysis was performed to provide some clues about causality, but the causality was statistically inferred rather than observed, and such results must be interpreted with caution. In addition, the results represent the KAP at a precise point in time but could be used as a historical baseline to examine the impact of future education interventions. All KAP studies are at risk of social desirability bias, in which the participants can be tempted to answer what they know they should do instead of what they are doing (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). Considering that the practice scores were high, that bias is a possibility. Multicenter studies and pre/post-intervention studies should be performed to confirm the results.</p>
<p>In conclusion, women with RPL in Lanzhou show poor knowledge, moderate attitude, and proactive practice toward RPL, and patients&#x2019; age displays a non-linear relationship with KAP. This study identified specific KAP items that would require improvements. The study also identified categories of patients who would need more attention.</p>
</sec>
<sec sec-type="data-availability" id="sec21">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec22">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the ethics committee of the Second Hospital of Lanzhou University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec23">
<title>Author contributions</title>
<p>FM: Conceptualization, Writing &#x2013; original draft. TH: Data curation, Writing &#x2013; original draft. KW: Data curation, Writing &#x2013; original draft. FW: Conceptualization, Data curation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec24">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the Science Foundation of Lanzhou University Second Hospital (Grant No. YJS-BD-19), the Science Foundation of Lanzhou University (Grant No. 071100132), and the Medical Innovation and Development Project of Lanzhou University (Grant No. lzuyxcx-2022-137).</p>
</sec>
<sec sec-type="COI-statement" id="sec25">
<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>
<sec sec-type="supplementary-material" id="sec26">
<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.2023.1308842/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2023.1308842/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_2.DOCX" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_3.DOCX" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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