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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
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<issn pub-type="epub">1663-9812</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="publisher-id">1732619</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1732619</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Patterns of prescription, over-the-counter, and herbal medication use among pregnant women in Buraydah, Saudi Arabia: a cross-sectional study</article-title>
<alt-title alt-title-type="left-running-head">Almutairi et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2025.1732619">10.3389/fphar.2025.1732619</ext-link>
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<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Almutairi</surname>
<given-names>Masaad S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<given-names>Mustafa S.</given-names>
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<surname>Alnezary</surname>
<given-names>Faris S.</given-names>
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<sup>2</sup>
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<surname>Almohammed</surname>
<given-names>Omar A.</given-names>
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<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<aff id="aff1">
<label>1</label>
<institution>Department of Pharmacy Practice, College of Pharmacy, Qassim University</institution>, <city>Buraidah</city>, <state>Qassim</state>, <country country="SA">Saudi Arabia</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Department of Pharmacy Practice, College of Pharmacy, Taibah University</institution>, <city>Madinah</city>, <country country="SA">Saudi Arabia</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Department of Clinical Pharmacy, College of Pharmacy, King Saud University</institution>, <city>Riyadh</city>, <country country="SA">Saudi Arabia</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Pharmacoeconomics Research Unit, College of Pharmacy, King Saud University</institution>, <city>Riyadh</city>, <country country="SA">Saudi Arabia</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Masaad S. Almutairi, <email xlink:href="mailto:mas.almutairi@qu.edu.sa">mas.almutairi@qu.edu.sa</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-02">
<day>02</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1732619</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>03</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Almutairi, Saeed, Alowias, Alharbi, Alnezary and Almohammed.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Almutairi, Saeed, Alowias, Alharbi, Alnezary and Almohammed</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-02">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Medication use during pregnancy is a significant public health consideration due to potential risks that certain medication can cause to both the mother and the developing fetus. Understanding regional patterns of medication use is crucial for targeted patient counseling and pharmacovigilance. This study aimed to characterize the prevalence, types, and predictors of prescription, over-the-counter (OTC), and herbal medication use among pregnant women in Buraydah, Saudi Arabia.</p>
</sec>
<sec>
<title>Methods</title>
<p>A cross-sectional survey was conducted among 407 pregnant women receiving antenatal care at the Maternity and Children Hospital in Buraydah. Data on demographics, clinical characteristics, and medication use were collected using a structured questionnaire and analyzed using descriptive statistics and multivariable logistic regression.</p>
</sec>
<sec>
<title>Results</title>
<p>Medication use was found to be highly prevalent. Almost all participants (98.3%) used pregnancy-related supplements, with folic acid being the most common. Prescription medication for short-term conditions was reported by 43.5% of women, with antibiotics (62.1%) and analgesics (42.9%) being the most frequent. In addition 19.4% of them used medications for chronic conditions, primarily hormone replacement therapy (44.3%) for hypothyroidism. OTC analgesics were used by half (50%) of the 36.9% of women taking nonprescription drugs; 19.4% of them used herbal medicine, with ginger being the most common (44.7%) ingredient for nausea. Further, women in their second (OR: 6.75) and third (OR: 8.71) trimesters were more likely to use short-term prescription medications compared to those in their first trimester.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Medication and supplement use was found to be widespread among the studied cohort of pregnant women. The findings emphasize the need for enhanced pharmacovigilance and proactive patient counseling by healthcare providers, particularly pharmacists, to ensure maternal and fetal safety.</p>
</sec>
</abstract>
<kwd-group>
<kwd>drug safetey</kwd>
<kwd>pharmacovigilance</kwd>
<kwd>pregnancy</kwd>
<kwd>public health</kwd>
<kwd>Saudi Arabia</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. The researchers would like to thank the Deanship of Graduate Studies and Scientific Research at Qassim University for financial support (QU-APC-2025).</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="35"/>
<page-count count="12"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Obstetric and Pediatric Pharmacology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Medication use and pregnancy are likely to coexist since women constitute one-third of the global drug user population, and a large proportion of these women are of reproductive age (<xref ref-type="bibr" rid="B27">Mburu et al., 2020</xref>). Studies conducted in North and South America, Australia, and Europe have found that most pregnant women there take at least one medication (<xref ref-type="bibr" rid="B15">Engeland et al., 2018</xref>). Approximately 70% of pregnant women often use prescription drugs. These drugs treat acute and chronic diseases, as well as pregnancy-related conditions (<xref ref-type="bibr" rid="B19">Hudson et al., 2023</xref>). Moreover, pregnancy-related illnesses that require ongoing or intermittent treatment may also be one of the reasons for medication use (<xref ref-type="bibr" rid="B28">Navaro et al., 2018</xref>).</p>
<p>A study conducted in the US found that 95% of pregnant women utilize more than three over-the-counter (OTC) and prescription medications. Gastrointestinal or antiemetic agents followed by antibiotics were found to be most frequently used for nausea, vomiting, and urinary tract infections (UTIs) (<xref ref-type="bibr" rid="B18">Haas et al., 2018</xref>). A Kenyan study identified two main reasons for taking medications during pregnancy: managing unplanned pregnancy stress and treating withdrawal through the continuous use of drugs (<xref ref-type="bibr" rid="B27">Mburu et al., 2020</xref>). An Ethiopian study conducted in 2020 revealed the most frequently used medications during pregnancy, which included anti-anemics followed by analgesics and anti-infectives (<xref ref-type="bibr" rid="B6">Ayele et al., 2020</xref>). Moreover, a French study found that almost 90% of the included patients were using medications during their pregnancy (<xref ref-type="bibr" rid="B9">B&#xe9;rard et al., 2019</xref>). In addition, a study in Norway found medication use during pregnancy in 60% of the participants (<xref ref-type="bibr" rid="B15">Engeland et al., 2018</xref>).</p>
<p>Further, the level of knowledge on the risk of using medications during pregnancy has been documented across different studies. In Italy, a study found that pregnant women belonging to a high socioeconomic status had a high level of knowledge on the risk of using medications during pregnancy (<xref ref-type="bibr" rid="B28">Navaro et al., 2018</xref>). In addition, in Nepal, the occupation of the women and their level of education was found to be significantly associated with the level of knowledge regarding their medication use (<xref ref-type="bibr" rid="B13">Devkota et al., 2017</xref>). In the UK, three out of ten pregnant avoided using medication during pregnancy due to their belief that medication was overused and not very beneficial in treating health conditions (<xref ref-type="bibr" rid="B32">Twigg et al., 2016</xref>). Furthermore, in Australia, a high health literacy was found to be strongly associated with participant&#x2019;s skills of seeking more information on complementary medicine products from healthcare providers during pregnancy (<xref ref-type="bibr" rid="B8">Barnes et al., 2019</xref>).</p>
<p>A study conducted in Bangladesh clarified that pregnant women preferred herbal medicine due to its safety, accessibility, affordability, and efficiency as well as due to family tradition and discontentment with contemporary medicine (<xref ref-type="bibr" rid="B3">Ahmed et al., 2018</xref>). Pregnant women worldwide frequently use herbal products, such those containing ginger and garlic as well as herbal teas for common ailments (such as UTIs, colds, flu, nausea, and vomiting) (<xref ref-type="bibr" rid="B20">Illamol et al., 2020</xref>). Further, pregnancy necessitates a macronutrient-balanced diet&#x2014;as protein requirements increase, particularly in the third trimester&#x2014;thus promoting production while limiting significant fat consumption (<xref ref-type="bibr" rid="B22">Kocy&#x142;owski et al., 2018</xref>). Most pregnant women in the United States have been found to utilize at least one nutritional supplement at some point throughout their pregnancy. Pregnant women may utilize dietary supplements to improve their nutrient consumption because their intake of foods does not meet their actual needs. Increased caloric and nutrient intakes are required to support the physiological needs of the developing fetus and mother, particularly folate, iron, iodine, and copper. Thus, dietary supplements should be carefully planned. In addition, it has been found that pregnant women aged 20&#x2013;34&#xa0;years in their first trimester or from lower-income families were less likely to use supplements than their peers (<xref ref-type="bibr" rid="B7">Bailey et al., 2019</xref>; <xref ref-type="bibr" rid="B21">Jun et al., 2020</xref>).</p>
<p>Maternal immunization is a novel public health strategy that protects both the mother and her fetus or newborn from infections in the second or third trimester. Certain countries have implemented routine antenatal vaccinations, which are currently restricted to pertussis, tetanus, diphtheria, inactivated polio, and seasonal influenza vaccines (<xref ref-type="bibr" rid="B29">Sebghati and Khalil, 2021</xref>). Vaccinations against influenza, pertussis, and tetanus are strongly recommended for safe use during pregnancy. Among the others that are being developed are vaccines against the respiratory syncytial virus (RSV), group B <italic>Streptococcus</italic> (GBS), and cytomegalovirus (CMV) (<xref ref-type="bibr" rid="B26">Maertens et al., 2020</xref>).</p>
<p>In Saudi Arabia, medications use during pregnancy has been evaluated in several studies. A recent study conducted in Riyadh found that 76% of the participants reported using medications during their current pregnancy, while 86.3% used prescribed medications (<xref ref-type="bibr" rid="B5">Alyami et al., 2023</xref>). In addition, a study that included 760 participants found that almost 40% reported using medication during their pregnancy (<xref ref-type="bibr" rid="B34">Zaki et al., 2014</xref>). Despite health promotion campaigns, the level of medication utilization was scattered among different populations. The objectives of this study were to evaluate the patterns of prescription, OTC, and herbal medication use among pregnant women in Saudi Arabia.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec id="s2-1">
<title>Study design, population, and setting</title>
<p>A cross-sectional questionnaire-based study was conducted from October 22, 2023, to April 15, 2024, to identify the most frequently used medications or supplements during pregnancy and the reason for taking them. The survey was conducted in the Maternity and Children Hospital in Buraydah, Qassim region of the Kingdom of Saudi Arabia. A convenience sample of pregnant women receiving antenatal care services at the outpatient clinics of the Maternity and Children Hospital in Buraydah were recruited during the study period. We excluded pregnant women who were unable to respond due to physical or mental impairments as well as very ill pregnant women. Eligible and willing participants were included until the target sample size was met. This study included human subjects, and the ethical approval for this study proposal was obtained from the Qassim University Research and Ethics Committee, Saudi Arabia (No: 607/45/4934).</p>
</sec>
<sec id="s2-2">
<title>Study instrument</title>
<p>The study was conducted using a questionnaire that was adopted from previous literature (<xref ref-type="bibr" rid="B18">Haas et al., 2018</xref>; <xref ref-type="bibr" rid="B25">Lupattelli et al., 2014</xref>; <xref ref-type="bibr" rid="B33">Van Gelder et al., 2018</xref>). The questionnaire is composed of two sections. The first section records the demographic data of the pregnant women, such as their age, number of prior children, level of education, etc. The second section records the characteristics of the utilization of prescription medications (short and chronic usage), nonprescription medications, pregnancy related medications, and herbals; this section is used for the evaluation of the trend in types of drugs and products used by pregnant women (<xref ref-type="sec" rid="s12">Supplementary Appendix A</xref>).</p>
<p>To ensure validity, the questionnaire was developed through a multistep process. Although this instrument was adopted from previously validated and published instruments, it was further revised and culturally modified by a team of experts in pharmacy practice, pharmacoepidemiology, and social pharmacy. Then, it was further revised by two physicians from the gynecology/maternal health field who routinely provide care to pregnant women. After multiple rounds of revisions, all experts approved the instrument (<xref ref-type="sec" rid="s12">Supplementary Appendix A</xref>), which was then pilot tested among 20 pregnant women to ensure the clarity of the items on the questionnaire; no changes were made at the pilot testing stage. This process ensured that each item was comprehensible, contextually appropriate, and aligned with the study aims. While no psychometric scales were constructed, the questionnaire demonstrated face and content validity through expert reviews and pilot testing, which supports its suitability for the purposes of this study.</p>
</sec>
<sec id="s2-3">
<title>Statistical analysis</title>
<p>Descriptive statistics were applied as appropriate to analyze participants characteristics in the first section, such as age, place of residence, education level, occupation, gestational age, gravidity, parity, husband&#x2019;s education level, husband&#x2019;s occupation, and husband&#x2019;s income. In the second section of the questionnaire, drug use characteristics were analyzed, including the use of medication for acute/short-term illnesses, medication use for chronic/long-term disorders, and OTC/herbal medication use. Logistic regression analyses were performed to examine the association between participants&#x2019; characteristics, which was the independent covariate in the regression model (age, place of residence, education level, occupation, gestational age, gravidity, parity, husband&#x2019;s education level, husband&#x2019;s occupation, and husband&#x2019;s income), and the participants&#x2019; use of medications for acute/short-term illnesses or chronic/long-term disorders as well as the use of OTC medications or herbal products as the dependent or outcome variables in the models. Assuming that 50% of pregnant women would report using at least one medication or supplement during pregnancy, with a 95% confidence level and a 5% margin of error, the estimated sample size was calculated to be 385 participants. A p-value of less than 0.05 was considered significant. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to quantify associations from the logistic regression models. The Statistical Package for Social Sciences (SPSS) software version 29 was used to analyze the data.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Participants characteristics</title>
<p>In this study, 457 pregnant women were invited to participate, with 407 providing their consent to participate in the survey, which resulted in an 89% response rate. The final analysis incorporated data from all these 407 pregnant women. The current study indicates that 37.3% of the participants fall within the age groups of 30&#x2013;34&#xa0;years, and 28.3% were in the age groups of 25&#x2013;29&#xa0;years. The results also indicate that 92.9% of the participants were residing in urban areas. In terms of educational level, 54.5% of the participants held a university or college degree and 75.2% of the participants were housewives. In addition, 71% of the participants were in the third trimester of their pregnancy and 51.1% of the participants had more than two previous pregnancies. With regard to the husband&#x2019;s educational level, the husbands of 34.9% of the participants&#x2019; had at least a high school education and those of 48.9% had university/college degrees; Moreover, almost two-thirds of the husbands were government employees. It was also found that 83.8% of the husbands fall into the lower middle-income category (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Characteristics of study participants (n &#x3d; 407).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="2" align="center">Characteristics and categories</th>
<th align="center">n (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="left" style="color:#1F1F1F">Age (years)</td>
<td align="left">&#x3c;25</td>
<td align="center">41 (10.1)</td>
</tr>
<tr>
<td align="left">25&#x2013;29</td>
<td align="center">115 (28.3)</td>
</tr>
<tr>
<td align="left">30&#x2013;34</td>
<td align="center">152 (37.3)</td>
</tr>
<tr>
<td align="left">&#x2265;35</td>
<td align="center">99 (24.3)</td>
</tr>
<tr>
<td rowspan="2" align="left">Place of residence</td>
<td align="left">Urban</td>
<td align="center">378 (92.9)</td>
</tr>
<tr>
<td align="left">Rural</td>
<td align="center">29 (7.1)</td>
</tr>
<tr>
<td rowspan="6" align="left">Education level</td>
<td align="left">Illiterate</td>
<td align="center">20 (4.9)</td>
</tr>
<tr>
<td align="left">Primary school</td>
<td align="center">10 (2.5)</td>
</tr>
<tr>
<td align="left">Intermediate school</td>
<td align="center">27 (6.6)</td>
</tr>
<tr>
<td align="left">High school</td>
<td align="center">108 (26.5)</td>
</tr>
<tr>
<td align="left">University/College</td>
<td align="center">222 (54.5)</td>
</tr>
<tr>
<td align="left">Postgraduate studies</td>
<td align="center">20 (4.9)</td>
</tr>
<tr>
<td rowspan="5" align="left">Occupation</td>
<td align="left">Housewife</td>
<td align="center">306 (75.2)</td>
</tr>
<tr>
<td align="left">Government employee</td>
<td align="center">51 (12.5)</td>
</tr>
<tr>
<td align="left">Private employee</td>
<td align="center">23 (5.7)</td>
</tr>
<tr>
<td align="left">Student</td>
<td align="center">20 (4.9)</td>
</tr>
<tr>
<td align="left">Other</td>
<td align="center">7 (1.7)</td>
</tr>
<tr>
<td rowspan="3" align="left">Gestational age (weeks)</td>
<td align="left">Third trimester</td>
<td align="center">289 (71.0)</td>
</tr>
<tr>
<td align="left">Second trimester</td>
<td align="center">91 (22.4)</td>
</tr>
<tr>
<td align="left">First trimester</td>
<td align="center">27 (6.6)</td>
</tr>
<tr>
<td rowspan="3" align="left">Gravidity (no. of previous pregnancies)</td>
<td align="left">One</td>
<td align="center">132 (32.4)</td>
</tr>
<tr>
<td align="left">Two</td>
<td align="center">67 (16.5)</td>
</tr>
<tr>
<td align="left">More than two</td>
<td align="center">208 (51.1)</td>
</tr>
<tr>
<td rowspan="3" align="left">Parity (no. of previous live births)</td>
<td align="left">None</td>
<td align="center">125 (30.7)</td>
</tr>
<tr>
<td align="left">Two</td>
<td align="center">107 (26.3)</td>
</tr>
<tr>
<td align="left">More than two</td>
<td align="center">175 (43.0)</td>
</tr>
<tr>
<td rowspan="3" align="left">Husband&#x2019;s occupation</td>
<td align="left">Government employee</td>
<td align="center">275 (67.6)</td>
</tr>
<tr>
<td align="left">Private employee</td>
<td align="center">73 (17.9)</td>
</tr>
<tr>
<td align="left">Self-employee</td>
<td align="center">59 (14.5)</td>
</tr>
<tr>
<td rowspan="6" align="left">Husband&#x2019;s educational level</td>
<td align="left">Illiterate</td>
<td align="center">6 (1.5)</td>
</tr>
<tr>
<td align="left">Primary school</td>
<td align="center">7 (1.7)</td>
</tr>
<tr>
<td align="left">Intermediate school</td>
<td align="center">22 (5.4)</td>
</tr>
<tr>
<td align="left">High school</td>
<td align="center">142 (34.9)</td>
</tr>
<tr>
<td align="left">University/College</td>
<td align="center">199 (48.9)</td>
</tr>
<tr>
<td align="left">Postgraduate studies</td>
<td align="center">31 (7.6)</td>
</tr>
<tr>
<td rowspan="3" align="left">Husband&#x2019;s income</td>
<td align="left">Low income</td>
<td align="center">34 (8.4)</td>
</tr>
<tr>
<td align="left">Lower middle income</td>
<td align="center">341 (83.7)</td>
</tr>
<tr>
<td align="left">Upper middle income</td>
<td align="center">32 (7.9)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are presented as the number of patients (%).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Using medication for short-term</title>
<p>A total of 177 participants (43.5%) were found to be using medications for short-term conditions, whereas the remaining 56.5% of the participants did not use any prescription medication for short-term conditions. This study reveals that antibiotics were the most prescribed medication (62.1%) for short-term conditions among the participants, mostly for UTI, followed by analgesics (42.9%), with a short duration being the most frequently reported by participants (81.4%). These data are depicted in <xref ref-type="table" rid="T2">Table 2</xref> and <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Use of prescription medications for short-term conditions (n &#x3d; 177).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Items and responses</th>
<th align="center">n (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="2" align="left">Did you use any prescription medication for short-term? (n &#x3d; 407)</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">230 (56.5)</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">177 (43.5)</td>
</tr>
<tr>
<td colspan="2" align="left">The period of using medication for short-term (n &#x3d; 177)</td>
</tr>
<tr>
<td align="left">1&#xa0;Month or less</td>
<td align="center">144 (81.4)</td>
</tr>
<tr>
<td align="left">2&#xa0;Month</td>
<td align="center">3 (1.7)</td>
</tr>
<tr>
<td align="left">3&#xa0;Month</td>
<td align="center">11 (6.2)</td>
</tr>
<tr>
<td align="left">When needed</td>
<td align="center">19 (10.7)</td>
</tr>
<tr>
<td colspan="2" align="left">Indication to use medication for short-term period (n &#x3d; 177)<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">Urinary tract infections</td>
<td align="center">72 (40.7)</td>
</tr>
<tr>
<td align="left">Acidity (heartburn)</td>
<td align="center">33 (18.7)</td>
</tr>
<tr>
<td align="left">Fever</td>
<td align="center">30 (16.9)</td>
</tr>
<tr>
<td align="left">Headaches</td>
<td align="center">23 (13.0)</td>
</tr>
<tr>
<td align="left">Cold</td>
<td align="center">14 (7.9)</td>
</tr>
<tr>
<td align="left">Vaginal infections</td>
<td align="center">13 (7.3)</td>
</tr>
<tr>
<td align="left">Sore throat</td>
<td align="center">12 (6.8)</td>
</tr>
<tr>
<td align="left">Cough</td>
<td align="center">10 (5.6)</td>
</tr>
<tr>
<td align="left">Allergy</td>
<td align="center">9 (5.1)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>Participant could report less or more than one indication; therefore, percentages may not amount to 100%.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Medications used for short term.</p>
</caption>
<graphic xlink:href="fphar-16-1732619-g001.tif">
<alt-text content-type="machine-generated">Bar chart showing the proportion of pregnant women using various medications. Antibiotics are highest at 65%, followed by analgesics at 60%, and antacids at 20%. Other medications like antiallergics, antitussives, and others are under 10%.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<title>Using medication for chronic conditions</title>
<p>A relatively small proportion of participants (19.4%) reported using prescription medication for chronic conditions (<xref ref-type="table" rid="T3">Table 3</xref>; <xref ref-type="fig" rid="F2">Figure 2</xref>). Medicines for hormone replacement therapy were the most frequently prescribed medication for chronic conditions (44.3%), followed by antihypertensive and antidiabetic medications (20.3% and 15.2%, respectively). With regard to chronic conditions, hypothyroidism, hypertension, and diabetes mellitus were the most reported chronic conditions related to these medications (44.3%, 20.3%, and 15.2%, respectively).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Use of prescription medication for chronic conditions (n &#x3d; 79).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Items and responses</th>
<th align="center">n (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="2" align="left">Did you use any prescription medication for chronic conditions (n &#x3d; 407)</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">328 (80.6)</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">79 (19.4)</td>
</tr>
<tr>
<td colspan="2" align="left">Indication for chronic conditions medications (n &#x3d; 79)<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">Hypothyroidism</td>
<td align="center">35 (44.3)</td>
</tr>
<tr>
<td align="left">Hypertension</td>
<td align="center">16 (20.3)</td>
</tr>
<tr>
<td align="left">Diabetes mellitus</td>
<td align="center">12 (15.2)</td>
</tr>
<tr>
<td align="left">Asthma</td>
<td align="center">6 (7.6)</td>
</tr>
<tr>
<td align="left">Heartburn and acidity</td>
<td align="center">2 (2.5)</td>
</tr>
<tr>
<td align="left">Hyperthyroidism</td>
<td align="center">2 (2.5)</td>
</tr>
<tr>
<td align="left">Lupus</td>
<td align="center">2 (2.5)</td>
</tr>
<tr>
<td align="left">Gestational diabetes</td>
<td align="center">2 (2.5)</td>
</tr>
<tr>
<td align="left">Epilepsy</td>
<td align="center">1 (1.3)</td>
</tr>
<tr>
<td align="left">Osteoporosis</td>
<td align="center">1 (1.3)</td>
</tr>
<tr>
<td align="left">Polycystic ovary syndrome</td>
<td align="center">1 (1.3)</td>
</tr>
<tr>
<td align="left">Immunodeficiency</td>
<td align="center">1 (1.3)</td>
</tr>
<tr>
<td align="left">Rheumatism</td>
<td align="center">1 (1.3)</td>
</tr>
<tr>
<td align="left">Migraines</td>
<td align="center">1 (1.3)</td>
</tr>
<tr>
<td align="left">Constipation</td>
<td align="center">1 (1.3)</td>
</tr>
<tr>
<td align="left">Anxiety</td>
<td align="center">1 (1.3)</td>
</tr>
<tr>
<td colspan="2" align="left">The period of using medications for chronic conditions (n &#x3d; 79)</td>
</tr>
<tr>
<td align="left">Throughout the 9&#xa0;months of pregnancy</td>
<td align="center">52 (65.9)</td>
</tr>
<tr>
<td align="left">When needed</td>
<td align="center">3 (3.8)</td>
</tr>
<tr>
<td align="left">1&#xa0;month or less</td>
<td align="center">3 (3.8)</td>
</tr>
<tr>
<td align="left">2&#xa0;months</td>
<td align="center">1 (1.3)</td>
</tr>
<tr>
<td align="left">3&#xa0;months</td>
<td align="center">6 (7.6)</td>
</tr>
<tr>
<td align="left">4&#xa0;months</td>
<td align="center">2 (2.5)</td>
</tr>
<tr>
<td align="left">5&#xa0;months</td>
<td align="center">2 (2.5)</td>
</tr>
<tr>
<td align="left">6&#xa0;months</td>
<td align="center">5 (6.3)</td>
</tr>
<tr>
<td align="left">7&#xa0;months</td>
<td align="center">5 (6.3)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn2">
<label>
<sup>a</sup>
</label>
<p>Participant could report less or more than one indication; therefore, percentages may not amount to 100%.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Medications used for chronic conditions.</p>
</caption>
<graphic xlink:href="fphar-16-1732619-g002.tif">
<alt-text content-type="machine-generated">Bar chart showing the proportion of pregnant women using various medications. Hormone replacement therapy is the highest at 45%, followed by antihypertensive at 20%, antidiabetic at 15%, and corticosteroids at 10%. Other medications, such as antacids, antithyroid, dietary supplements, and others, are all below 5%.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4">
<title>Using pregnancy-related medications, nonprescription medications and herbal medicine</title>
<p>Most participants (98.3%) reported using pregnancy-related drugs, such as vitamins and minerals, with folic acid being the most common (98.3%), followed by iron (92.0%), calcium (77.3%), meclizine and pyridoxine (33.8%), dydrogesterone (36.3%), Omega (20.3%), and Vitamin D (20.3%). With regard to nonprescription medications, 150 (36.9%) participants reported using nonprescription medications during pregnancy. Analgesics were the most used (50%), followed by antacids (23.3%), dietary supplements (15.3%), and antiemetic/anti-nausea (12.0%). Further, the most common indications for using nonprescription medications by these participants during pregnancy were headache (28.7%), acidity (18.7%), and nausea (12.7%). The most frequent duration of using nonprescription medications was as needed (49.3%), followed by 1&#xa0;month or less 29.3% (<xref ref-type="fig" rid="F3">Figures 3</xref>&#x2013;<xref ref-type="fig" rid="F5">5</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Pregnancy-related medications use during pregnancy.</p>
</caption>
<graphic xlink:href="fphar-16-1732619-g003.tif">
<alt-text content-type="machine-generated">Horizontal bar chart showing the proportion of pregnant women taking various medications. Folic acid leads at 98.3%, followed by iron at 92.0%, and calcium at 77.3%. Nausea medications are at 33.8%, pregnancy stabilizers at 36.3%, Omega 3 and Vitamin D both at 20.3%, blood thinning needles at 15.5%, aspirin at 13.8%, and Vitamin B at 4.0%.</alt-text>
</graphic>
</fig>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Herbal medicine used during pregnancy.</p>
</caption>
<graphic xlink:href="fphar-16-1732619-g004.tif">
<alt-text content-type="machine-generated">Bar chart showing the proportion of pregnant women using various herbal medicines. Ginger is most popular at 44.7%, followed by anise at 27.6%, cumin at 18.4%, mint at 13.2%, and chamomile at 11.8%.</alt-text>
</graphic>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Non-prescription medications use during pregnancy.</p>
</caption>
<graphic xlink:href="fphar-16-1732619-g005.tif">
<alt-text content-type="machine-generated">Bar chart displaying the proportion of pregnant women using various non-prescription medicines. Analgesics lead at fifty percent, followed by antacids at 23.3 percent, dietary supplements at 15.3 percent, and antiemetics at 12 percent. Other categories like antiallergic, decongestant, and antitussive have lower proportions.</alt-text>
</graphic>
</fig>
<p>Further, 19.4% of the participants reported using herbal medicine during their pregnancy. Herbal medicine containing ginger was the most commonly used during pregnancy among the participants (44.7%), followed by anise (27.6%). Moreover, the most commonly reported indications for using herbal medicine during pregnancy were nausea (42.1%), flatulence (13.2%), and facilitating childbirth (15.8%). The most frequent duration of using herbal medicines was as needed (56.6%), followed by 1&#xa0;month or less (31.6%).</p>
</sec>
<sec id="s3-5">
<title>Predictors of medications use during pregnancy</title>
<p>The multivariable logistic regression analysis (<xref ref-type="table" rid="T4">Tables 4</xref>, <xref ref-type="table" rid="T5">5</xref>) identified several significant predictors for short-term prescription medication use. The use of prescription medications for short term during pregnancy was significantly higher in pregnant mothers during their second or third trimesters of gestational age compared to those in their first trimester (OR &#x3d; 6.75; 95% CI 1.82&#x2013;25; OR &#x3d; 8.71, 95% CI 2.45&#x2013;30.93, respectively). In contrast, women who gave birth more than twice were less likely to use prescription medications in the short term (OR &#x3d; 0.31, 95% CI 0.12&#x2013;0.82) compared to women with no previous birth experience. Moreover, women who were married to an employee of a private organization were less likely to use prescription medication in the short-term during their pregnancy compared to wives of government employees (OR &#x3d; 0.54, 95% CI 0.30&#x2013;0.97). Further analysis for prescription medications (chronic use), nonprescription, and herbal medication during pregnancy revealed no significant factors associated with their consumption.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Multivariable logistic regression analysis of predictors for medication uses during pregnancy.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" colspan="2" align="left">Characteristics and categories</th>
<th colspan="3" align="left">Medications for short-term</th>
<th colspan="3" align="left">Medications for chronic conditions</th>
</tr>
<tr>
<th align="center">No</th>
<th align="center">Yes</th>
<th align="center">OR (95% CI)</th>
<th align="center">No</th>
<th align="center">Yes</th>
<th align="center">OR (95% CI)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="left" style="color:#1F1F1F">Age (years)</td>
<td align="left" style="color:#1F1F1F">&#x3c;25</td>
<td align="center" style="color:#1F1F1F">26 (11.3)</td>
<td align="center" style="color:#1F1F1F">15 (8.5)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">37 (11.3)</td>
<td align="center" style="color:#1F1F1F">4 (5.1)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">25&#x2013;29</td>
<td align="center" style="color:#1F1F1F">37 (31.7)</td>
<td align="center" style="color:#1F1F1F">42 (23.7)</td>
<td align="center" style="color:#1F1F1F">0.85 (0.36&#x2013;1.98)</td>
<td align="center" style="color:#1F1F1F">98 (29.9)</td>
<td align="center" style="color:#1F1F1F">17 (21.5)</td>
<td align="center" style="color:#1F1F1F">0.82 (0.23&#x2013;2.90)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">30&#x2013;34</td>
<td align="center" style="color:#1F1F1F">81 (35.2)</td>
<td align="center" style="color:#1F1F1F">71 (40.1)</td>
<td align="center" style="color:#1F1F1F">1.35 (0.57&#x2013;3.23)</td>
<td align="center" style="color:#1F1F1F">120 (36.6)</td>
<td align="center" style="color:#1F1F1F">32 (40.5)</td>
<td align="center" style="color:#1F1F1F">1.30 (0.37&#x2013;4.52)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">&#x2265;35</td>
<td align="center" style="color:#1F1F1F">50 (21.7)</td>
<td align="center" style="color:#1F1F1F">49 (27.7)</td>
<td align="center" style="color:#1F1F1F">1.60 (0.61&#x2013;4.19)</td>
<td align="center" style="color:#1F1F1F">73 (22.3)</td>
<td align="center" style="color:#1F1F1F">26 (32.9)</td>
<td align="center" style="color:#1F1F1F">2.22 (0.59&#x2013;8.34)</td>
</tr>
<tr>
<td rowspan="2" align="left" style="color:#1F1F1F">Place of residence</td>
<td align="left" style="color:#1F1F1F">Urban</td>
<td align="center" style="color:#1F1F1F">214 (93)</td>
<td align="center" style="color:#1F1F1F">164 (92.7)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">305 (93)</td>
<td align="center" style="color:#1F1F1F">73 (92.4)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Rural</td>
<td align="center" style="color:#1F1F1F">16 (7)</td>
<td align="center" style="color:#1F1F1F">13 (7.3)</td>
<td align="center" style="color:#1F1F1F">1.08 (0.46&#x2013;2.49)</td>
<td align="center" style="color:#1F1F1F">23 (7)</td>
<td align="center" style="color:#1F1F1F">6 (7.6)</td>
<td align="center" style="color:#1F1F1F">1.00 (0.35&#x2013;2.82)</td>
</tr>
<tr>
<td rowspan="6" align="left" style="color:#1F1F1F">Education level</td>
<td align="left" style="color:#1F1F1F">Illiterate</td>
<td align="center" style="color:#1F1F1F">13 (5.7)</td>
<td align="center" style="color:#1F1F1F">7 (4)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">17 (5.2)</td>
<td align="center" style="color:#1F1F1F">3 (3.8)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Primary school</td>
<td align="center" style="color:#1F1F1F">4 (1.7)</td>
<td align="center" style="color:#1F1F1F">6 (3.4)</td>
<td align="center" style="color:#1F1F1F">2.34 (0.41&#x2013;13.2)</td>
<td align="center" style="color:#1F1F1F">9 (2.7)</td>
<td align="center" style="color:#1F1F1F">1 (1.3)</td>
<td align="center" style="color:#1F1F1F">0.79 (0.05&#x2013;11.2)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Intermediate school</td>
<td align="center" style="color:#1F1F1F">13 (5.7)</td>
<td align="center" style="color:#1F1F1F">14 (7.9)</td>
<td align="center" style="color:#1F1F1F">1.85 (0.49&#x2013;6.99)</td>
<td align="center" style="color:#1F1F1F">25 (7.6)</td>
<td align="center" style="color:#1F1F1F">2 (2.5)</td>
<td align="center" style="color:#1F1F1F">0.55 (0.07&#x2013;4.32)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">High school</td>
<td align="center" style="color:#1F1F1F">67 (29.1)</td>
<td align="center" style="color:#1F1F1F">41 (23.2)</td>
<td align="center" style="color:#1F1F1F">0.93 (0.28&#x2013;3.03)</td>
<td align="center" style="color:#1F1F1F">89 (27.1)</td>
<td align="center" style="color:#1F1F1F">19 (24.1)</td>
<td align="center" style="color:#1F1F1F">1.82 (0.35&#x2013;9.46)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">University/College</td>
<td align="center" style="color:#1F1F1F">122 (53)</td>
<td align="center" style="color:#1F1F1F">100 (56.5)</td>
<td align="center" style="color:#1F1F1F">1.20 (0.37&#x2013;3.87)</td>
<td align="center" style="color:#1F1F1F">171 (52)</td>
<td align="center" style="color:#1F1F1F">51 (64.6)</td>
<td align="center" style="color:#1F1F1F">2.99 (0.58&#x2013;15.3)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Postgraduate studies</td>
<td align="center" style="color:#1F1F1F">11 (4.8)</td>
<td align="center" style="color:#1F1F1F">9 (5.1)</td>
<td align="center" style="color:#1F1F1F">1.03 (0.20&#x2013;5.18)</td>
<td align="center" style="color:#1F1F1F">17 (5.2)</td>
<td align="center" style="color:#1F1F1F">3 (3.8)</td>
<td align="center" style="color:#1F1F1F">1.71 (0.17&#x2013;16.3)</td>
</tr>
<tr>
<td rowspan="5" align="left" style="color:#1F1F1F">Occupation</td>
<td align="left" style="color:#1F1F1F">Student</td>
<td align="center" style="color:#1F1F1F">13 (5.7)</td>
<td align="center" style="color:#1F1F1F">7 (4)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">20 (6.1)</td>
<td align="center" style="color:#1F1F1F">0</td>
<td align="center" style="color:#1F1F1F">NAE</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Housewife</td>
<td align="center" style="color:#1F1F1F">176 (76.5)</td>
<td align="center" style="color:#1F1F1F">130 (73.4)</td>
<td align="center" style="color:#1F1F1F">1.38 (0.47&#x2013;4.03)</td>
<td align="center" style="color:#1F1F1F">246 (75)</td>
<td align="center" style="color:#1F1F1F">60 (75.9)</td>
<td align="center">NAE</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Government employee</td>
<td align="center" style="color:#1F1F1F">24 (10.4)</td>
<td align="center" style="color:#1F1F1F">27 (15.3)</td>
<td align="center" style="color:#1F1F1F">1.90 (0.55&#x2013;6.55)</td>
<td align="center" style="color:#1F1F1F">41 (12.5)</td>
<td align="center" style="color:#1F1F1F">10 (12.7)</td>
<td align="center">NAE</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Private employee</td>
<td align="center" style="color:#1F1F1F">12 (5.2)</td>
<td align="center" style="color:#1F1F1F">11 (6.2)</td>
<td align="center" style="color:#1F1F1F">1.51 (0.38&#x2013;5.88)</td>
<td align="center" style="color:#1F1F1F">16 (4.9)</td>
<td align="center" style="color:#1F1F1F">7 (8.9)</td>
<td align="center">NAE</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">None of the above</td>
<td align="center" style="color:#1F1F1F">5 (2.2)</td>
<td align="center" style="color:#1F1F1F">2 (1.1)</td>
<td align="center" style="color:#1F1F1F">0.71 (0.10&#x2013;5.07)</td>
<td align="center" style="color:#1F1F1F">5 (1.5)</td>
<td align="center" style="color:#1F1F1F">2 (2.5)</td>
<td align="center">NAE</td>
</tr>
<tr>
<td rowspan="3" align="left" style="color:#1F1F1F">Gestational age (weeks)</td>
<td align="left" style="color:#1F1F1F">First trimester</td>
<td align="center" style="color:#1F1F1F">24 (10.4)</td>
<td align="center" style="color:#1F1F1F">3 (1.7)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">18 (5.5)</td>
<td align="center" style="color:#1F1F1F">9 (11.4)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Second trimester</td>
<td align="center" style="color:#1F1F1F">51 (22.2)</td>
<td align="center" style="color:#1F1F1F">40 (22.6)</td>
<td align="center" style="color:#1F1F1F">
<bold>6.75 (1.82</bold>&#x2013;<bold>25.0)</bold>
</td>
<td align="center" style="color:#1F1F1F">69 (21)</td>
<td align="center" style="color:#1F1F1F">22 (27.8)</td>
<td align="center" style="color:#1F1F1F">0.78 (0.28&#x2013;2.14)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Third trimester</td>
<td align="center" style="color:#1F1F1F">155 (67.4)</td>
<td align="center" style="color:#1F1F1F">134 (75.7)</td>
<td align="center" style="color:#1F1F1F">
<bold>8.71 (2.45</bold>&#x2013;<bold>30.9)</bold>
</td>
<td align="center" style="color:#1F1F1F">241 (73.5)</td>
<td align="center" style="color:#1F1F1F">48 (60.8)</td>
<td align="center" style="color:#1F1F1F">0.46 (0.18&#x2013;1.16)</td>
</tr>
<tr>
<td rowspan="3" align="left" style="color:#1F1F1F">Gravidity</td>
<td align="left" style="color:#1F1F1F">One</td>
<td align="center" style="color:#1F1F1F">79 (34.3)</td>
<td align="center" style="color:#1F1F1F">53 (29.9)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">111 (33.8)</td>
<td align="center" style="color:#1F1F1F">21 (26.6)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Two</td>
<td align="center" style="color:#1F1F1F">40 (17.4)</td>
<td align="center" style="color:#1F1F1F">27 (15.3)</td>
<td align="center" style="color:#1F1F1F">1.59 (0.73&#x2013;3.46)</td>
<td align="center" style="color:#1F1F1F">50 (15.2)</td>
<td align="center" style="color:#1F1F1F">17 (21.5)</td>
<td align="center" style="color:#1F1F1F">1.01 (0.40&#x2013;2.55)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">More than two</td>
<td align="center" style="color:#1F1F1F">111 (48.3)</td>
<td align="center" style="color:#1F1F1F">97 (54.8)</td>
<td align="center" style="color:#1F1F1F">2.40 (0.98&#x2013;5.85)</td>
<td align="center" style="color:#1F1F1F">167 (50.9)</td>
<td align="center" style="color:#1F1F1F">41 (51.9)</td>
<td align="center" style="color:#1F1F1F">0.58 (0.19&#x2013;1.72)</td>
</tr>
<tr>
<td rowspan="3" align="left" style="color:#1F1F1F">Parity</td>
<td align="left" style="color:#1F1F1F">None</td>
<td align="center" style="color:#1F1F1F">70 (30.4)</td>
<td align="center" style="color:#1F1F1F">55 (31.1)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">109 (33.2)</td>
<td align="center" style="color:#1F1F1F">16 (20.3)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Two</td>
<td align="center" style="color:#1F1F1F">64 (27.8)</td>
<td align="center" style="color:#1F1F1F">43 (24.3)</td>
<td align="center" style="color:#1F1F1F">0.51 (0.25&#x2013;1.06)</td>
<td align="center" style="color:#1F1F1F">79 (24.1)</td>
<td align="center" style="color:#1F1F1F">28 (35.4)</td>
<td align="center" style="color:#1F1F1F">2.59 (1.06&#x2013;6.34)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">More than two</td>
<td align="center" style="color:#1F1F1F">96 (41.7)</td>
<td align="center" style="color:#1F1F1F">79 (44.6)</td>
<td align="center" style="color:#1F1F1F">
<bold>0.31 (0.12</bold>&#x2013;<bold>0.82)</bold>
</td>
<td align="center" style="color:#1F1F1F">140 (42.7)</td>
<td align="center" style="color:#1F1F1F">35 (44.3)</td>
<td align="center" style="color:#1F1F1F">2.47 (0.74&#x2013;8.27)</td>
</tr>
<tr>
<td rowspan="3" align="left" style="color:#1F1F1F">Husband&#x2019;s occupation</td>
<td align="left" style="color:#1F1F1F">Government employee</td>
<td align="center" style="color:#1F1F1F">146 (63.5)</td>
<td align="center" style="color:#1F1F1F">129 (72.9)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">220 (67.1)</td>
<td align="center" style="color:#1F1F1F">55 (69.6)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Private employee</td>
<td align="center" style="color:#1F1F1F">46 (20)</td>
<td align="center" style="color:#1F1F1F">27 (15.3)</td>
<td align="center" style="color:#1F1F1F">
<bold>0.54 (0.30</bold>&#x2013;<bold>0.97)</bold>
</td>
<td align="center" style="color:#1F1F1F">60 (18.3)</td>
<td align="center" style="color:#1F1F1F">13 (16.5)</td>
<td align="center" style="color:#1F1F1F">1.05 (0.49&#x2013;2.26)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Self-employee</td>
<td align="center" style="color:#1F1F1F">38 (16.5)</td>
<td align="center" style="color:#1F1F1F">21 (11.9)</td>
<td align="center" style="color:#1F1F1F">0.63 (0.30&#x2013;1.30)</td>
<td align="center" style="color:#1F1F1F">48 (14.6)</td>
<td align="center" style="color:#1F1F1F">11 (13.9)</td>
<td align="center" style="color:#1F1F1F">0.94 (0.38&#x2013;2.33)</td>
</tr>
<tr>
<td rowspan="6" align="left" style="color:#1F1F1F">Husband&#x2019;s educational level</td>
<td align="left" style="color:#1F1F1F">Illiterate</td>
<td align="center" style="color:#1F1F1F">4 (1.7)</td>
<td align="center" style="color:#1F1F1F">2 (1.1)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">4 (1.2)</td>
<td align="center" style="color:#1F1F1F">2 (2.5)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Primary school</td>
<td align="center" style="color:#1F1F1F">4 (1.7)</td>
<td align="center" style="color:#1F1F1F">3 (1.7)</td>
<td align="center" style="color:#1F1F1F">0.99 (0.08&#x2013;11.8)</td>
<td align="center" style="color:#1F1F1F">5 (1.5)</td>
<td align="center" style="color:#1F1F1F">2 (2.5)</td>
<td align="center" style="color:#1F1F1F">0.32 (0.02&#x2013;5.35)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Intermediate school</td>
<td align="center" style="color:#1F1F1F">13 (5.7)</td>
<td align="center" style="color:#1F1F1F">9 (5.1)</td>
<td align="center" style="color:#1F1F1F">0.65 (0.07&#x2013;5.68)</td>
<td align="center" style="color:#1F1F1F">20 (6.1)</td>
<td align="center" style="color:#1F1F1F">2 (2.5)</td>
<td align="center" style="color:#1F1F1F">0.10 (0.01&#x2013;1.47)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">High school</td>
<td align="center" style="color:#1F1F1F">79 (34.3)</td>
<td align="center" style="color:#1F1F1F">63 (35.6)</td>
<td align="center" style="color:#1F1F1F">0.96 (0.13&#x2013;7.12)</td>
<td align="center" style="color:#1F1F1F">116 (35.4)</td>
<td align="center" style="color:#1F1F1F">26 (32.9)</td>
<td align="center" style="color:#1F1F1F">0.13 (0.01&#x2013;1.27)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">University/College</td>
<td align="center" style="color:#1F1F1F">111 (48.3)</td>
<td align="center" style="color:#1F1F1F">88 (49.7)</td>
<td align="center" style="color:#1F1F1F">0.86 (0.11&#x2013;6.66)</td>
<td align="center" style="color:#1F1F1F">157 (47.9)</td>
<td align="center" style="color:#1F1F1F">42 (53.2)</td>
<td align="center" style="color:#1F1F1F">0.16 (0.02&#x2013;1.71)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Postgraduate studies</td>
<td align="center" style="color:#1F1F1F">19 (8.3)</td>
<td align="center" style="color:#1F1F1F">12 (6.8)</td>
<td align="center" style="color:#1F1F1F">0.86 (0.09&#x2013;7.57)</td>
<td align="center" style="color:#1F1F1F">26 (7.9)</td>
<td align="center" style="color:#1F1F1F">5 (6.3)</td>
<td align="center" style="color:#1F1F1F">0.17 (0.01&#x2013;2.21)</td>
</tr>
<tr>
<td rowspan="3" align="left" style="color:#1F1F1F">Husband&#x2019;s income</td>
<td align="left" style="color:#1F1F1F">Low income</td>
<td align="center" style="color:#1F1F1F">21 (9.1)</td>
<td align="center" style="color:#1F1F1F">13 (7.3)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">28 (8.5)</td>
<td align="center" style="color:#1F1F1F">6 (7.5)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Lower middle income</td>
<td align="center" style="color:#1F1F1F">187 (81.3)</td>
<td align="center" style="color:#1F1F1F">154 (87)</td>
<td align="center" style="color:#1F1F1F">0.98 (0.40&#x2013;2.43)</td>
<td align="center" style="color:#1F1F1F">274 (83.5)</td>
<td align="center" style="color:#1F1F1F">67 (84.8)</td>
<td align="center" style="color:#1F1F1F">0.81 (0.25&#x2013;2.63)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Upper middle income</td>
<td align="center" style="color:#1F1F1F">22 (9.6)</td>
<td align="center" style="color:#1F1F1F">10 (5.6)</td>
<td align="center" style="color:#1F1F1F">0.46 (0.13&#x2013;1.56)</td>
<td align="center" style="color:#1F1F1F">26 (7.9)</td>
<td align="center" style="color:#1F1F1F">6 (7.6)</td>
<td align="center" style="color:#1F1F1F">0.74 (0.16&#x2013;3.34)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Numbers were presented as frequency (%); NAE: not able to estimate.</p>
</fn>
<fn>
<p>Bold: Statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Predictors of using Non-prescription medications and herbal medicine during pregnancy.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" colspan="2" align="center">Characteristics and categories</th>
<th colspan="3" align="center">Non-prescription medications</th>
<th colspan="3" align="center">Herbal medicine</th>
</tr>
<tr>
<th align="center">No</th>
<th align="center">Yes</th>
<th align="center">OR (95% CI)</th>
<th align="center">No</th>
<th align="center">Yes</th>
<th align="center">OR (95% CI)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="left" style="color:#1F1F1F">Age (years)</td>
<td align="left" style="color:#1F1F1F">&#x3c;25</td>
<td align="center" style="color:#1F1F1F">27 (10.5)</td>
<td align="center" style="color:#1F1F1F">14 (9.3)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">36 (10.9)</td>
<td align="center" style="color:#1F1F1F">5 (6.6)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">25&#x2013;29</td>
<td align="center" style="color:#1F1F1F">82 (31.9)</td>
<td align="center" style="color:#1F1F1F">33 (22)</td>
<td align="center" style="color:#1F1F1F">0.90 (0.38&#x2013;2.12)</td>
<td align="center" style="color:#1F1F1F">96 (29)</td>
<td align="center" style="color:#1F1F1F">19 (25)</td>
<td align="center" style="color:#1F1F1F">1.76 (0.52&#x2013;5.92)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">30&#x2013;34</td>
<td align="center" style="color:#1F1F1F">90 (35)</td>
<td align="center" style="color:#1F1F1F">62 (41.3)</td>
<td align="center" style="color:#1F1F1F">1.36 (0.56&#x2013;3.29)</td>
<td align="center" style="color:#1F1F1F">121 (36.6)</td>
<td align="center" style="color:#1F1F1F">31 (40.8)</td>
<td align="center" style="color:#1F1F1F">2.79 (0.78&#x2013;9.95)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">&#x2265;35</td>
<td align="center" style="color:#1F1F1F">58 (22.6)</td>
<td align="center" style="color:#1F1F1F">41 (27.3)</td>
<td align="center" style="color:#1F1F1F">1.26 (0.47&#x2013;3.39)</td>
<td align="center" style="color:#1F1F1F">78 (23.6)</td>
<td align="center" style="color:#1F1F1F">21 (27.6)</td>
<td align="center" style="color:#1F1F1F">3.29 (0.83&#x2013;12.9)</td>
</tr>
<tr>
<td rowspan="2" align="left" style="color:#1F1F1F">Place of residence</td>
<td align="left" style="color:#1F1F1F">Urban</td>
<td align="center" style="color:#1F1F1F">234 (91.1)</td>
<td align="center" style="color:#1F1F1F">144 (96)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">308 (93.1)</td>
<td align="center" style="color:#1F1F1F">70 (92.1)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Rural</td>
<td align="center" style="color:#1F1F1F">23 (8.9</td>
<td align="center" style="color:#1F1F1F">6 (4)</td>
<td align="center" style="color:#1F1F1F">0.40 (0.14&#x2013;1.07)</td>
<td align="center" style="color:#1F1F1F">23 (6.9)</td>
<td align="center" style="color:#1F1F1F">6 (7.9)</td>
<td align="center" style="color:#1F1F1F">1.76 (0.61&#x2013;5.06)</td>
</tr>
<tr>
<td rowspan="6" align="left" style="color:#1F1F1F">Education level</td>
<td align="left" style="color:#1F1F1F">Illiterate</td>
<td align="center" style="color:#1F1F1F">17 (6.6)</td>
<td align="center" style="color:#1F1F1F">3 (2)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">19 (5.7)</td>
<td align="center" style="color:#1F1F1F">1 (1.3)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Primary school</td>
<td align="center" style="color:#1F1F1F">9 (3.5)</td>
<td align="center" style="color:#1F1F1F">1 (0.7)</td>
<td align="center" style="color:#1F1F1F">0.54 (0.04&#x2013;6.66)</td>
<td align="center" style="color:#1F1F1F">4 (1.2)</td>
<td align="center" style="color:#1F1F1F">6 (7.9)</td>
<td align="center" style="color:#1F1F1F">21.8 (1.71&#x2013;278.6)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Intermediate school</td>
<td align="center" style="color:#1F1F1F">17 (6.6)</td>
<td align="center" style="color:#1F1F1F">10 (6.7)</td>
<td align="center" style="color:#1F1F1F">3.06 (0.62&#x2013;14.9)</td>
<td align="center" style="color:#1F1F1F">24 (7.3)</td>
<td align="center" style="color:#1F1F1F">3 (3.9)</td>
<td align="center" style="color:#1F1F1F">2.13 (0.17&#x2013;25.4)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">High school</td>
<td align="center" style="color:#1F1F1F">59 (23)</td>
<td align="center" style="color:#1F1F1F">49 (32.7)</td>
<td align="center" style="color:#1F1F1F">4.24 (1.03&#x2013;17.65)</td>
<td align="center" style="color:#1F1F1F">91 (27.5)</td>
<td align="center" style="color:#1F1F1F">17 (22.4)</td>
<td align="center" style="color:#1F1F1F">3.12 (0.33&#x2013;29.1)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">University/College</td>
<td align="center" style="color:#1F1F1F">140 (54.5)</td>
<td align="center" style="color:#1F1F1F">82 (54.7)</td>
<td align="center" style="color:#1F1F1F">3.36 (0.81&#x2013;14)</td>
<td align="center" style="color:#1F1F1F">179 (54.1)</td>
<td align="center" style="color:#1F1F1F">43 (56.6)</td>
<td align="center" style="color:#1F1F1F">4.94 (0.53&#x2013;45.6)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Postgraduate studies</td>
<td align="center" style="color:#1F1F1F">15 (5.8)</td>
<td align="center" style="color:#1F1F1F">5 (3.3)</td>
<td align="center" style="color:#1F1F1F">1.63 (0.25&#x2013;10.6)</td>
<td align="center" style="color:#1F1F1F">14 (4.2)</td>
<td align="center" style="color:#1F1F1F">6 (7.9)</td>
<td align="center" style="color:#1F1F1F">6.38 (0.54&#x2013;80.8)</td>
</tr>
<tr>
<td rowspan="5" align="left" style="color:#1F1F1F">Occupation</td>
<td align="left" style="color:#1F1F1F">Student</td>
<td align="center" style="color:#1F1F1F">12 (4.7)</td>
<td align="center" style="color:#1F1F1F">8 (5.3)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">16 (4.8)</td>
<td align="center" style="color:#1F1F1F">4 (5.3)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Housewife</td>
<td align="center" style="color:#1F1F1F">196 (76.3)</td>
<td align="center" style="color:#1F1F1F">110 (73.3)</td>
<td align="center" style="color:#1F1F1F">0.59 (0.20&#x2013;1.73)</td>
<td align="center" style="color:#1F1F1F">248 (74.9)</td>
<td align="center" style="color:#1F1F1F">58 (76.3)</td>
<td align="center" style="color:#1F1F1F">0.62 (0.16&#x2013;2.35)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Government employee</td>
<td align="center" style="color:#1F1F1F">33 (12.8)</td>
<td align="center" style="color:#1F1F1F">18 (12)</td>
<td align="center" style="color:#1F1F1F">0.51 (0.14&#x2013;1.82)</td>
<td align="center" style="color:#1F1F1F">42 (12.7)</td>
<td align="center" style="color:#1F1F1F">9 (11.8)</td>
<td align="center" style="color:#1F1F1F">0.34 (0.07&#x2013;1.62)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Private employee</td>
<td align="center" style="color:#1F1F1F">12 (4.7)</td>
<td align="center" style="color:#1F1F1F">11 (7.3)</td>
<td align="center" style="color:#1F1F1F">1.10 (0.28&#x2013;4.31)</td>
<td align="center" style="color:#1F1F1F">20 (6)</td>
<td align="center" style="color:#1F1F1F">3 (3.9)</td>
<td align="center" style="color:#1F1F1F">0.26 (0.04&#x2013;1.66)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">None of the above</td>
<td align="center" style="color:#1F1F1F">4 (1.6)</td>
<td align="center" style="color:#1F1F1F">3 (2)</td>
<td align="center" style="color:#1F1F1F">1.22 (0.18&#x2013;8.3)</td>
<td align="center" style="color:#1F1F1F">5 (1.5)</td>
<td align="center" style="color:#1F1F1F">2 (2.6)</td>
<td align="center" style="color:#1F1F1F">0.98 (0.11&#x2013;8.48)</td>
</tr>
<tr>
<td rowspan="3" align="left" style="color:#1F1F1F">Gestational age (weeks)</td>
<td align="left" style="color:#1F1F1F">First trimester</td>
<td align="center" style="color:#1F1F1F">22 (8.6)</td>
<td align="center" style="color:#1F1F1F">5 (3.3)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">22 (6.6)</td>
<td align="center" style="color:#1F1F1F">5 (6.6)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Second trimester</td>
<td align="center" style="color:#1F1F1F">59 (23)</td>
<td align="center" style="color:#1F1F1F">32 (21.3)</td>
<td align="center" style="color:#1F1F1F">2.25 (0.73&#x2013;6.98)</td>
<td align="center" style="color:#1F1F1F">79 (23.9)</td>
<td align="center" style="color:#1F1F1F">12 (15.8)</td>
<td align="center" style="color:#1F1F1F">0.64 (0.18&#x2013;2.24)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Third trimester</td>
<td align="center" style="color:#1F1F1F">176 (68.5)</td>
<td align="center" style="color:#1F1F1F">113 (75.3)</td>
<td align="center" style="color:#1F1F1F">3.22 (1.10&#x2013;9.41)</td>
<td align="center" style="color:#1F1F1F">230 (69.5)</td>
<td align="center" style="color:#1F1F1F">59 (77.6)</td>
<td align="center" style="color:#1F1F1F">1.24 (0.41&#x2013;3.79)</td>
</tr>
<tr>
<td rowspan="3" align="left" style="color:#1F1F1F">Gravidity</td>
<td align="left" style="color:#1F1F1F">One</td>
<td align="center" style="color:#1F1F1F">95 (37)</td>
<td align="center" style="color:#1F1F1F">37 (24.7)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">109 (32.9)</td>
<td align="center" style="color:#1F1F1F">23 (30.3)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Two</td>
<td align="center" style="color:#1F1F1F">40 (15.6)</td>
<td align="center" style="color:#1F1F1F">27 (18)</td>
<td align="center" style="color:#1F1F1F">1.88 (0.86&#x2013;4.10)</td>
<td align="center" style="color:#1F1F1F">56 (16.9)</td>
<td align="center" style="color:#1F1F1F">11 (14.5)</td>
<td align="center" style="color:#1F1F1F">1.24 (0.47&#x2013;3.44)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">More than two</td>
<td align="center" style="color:#1F1F1F">122 (47.5)</td>
<td align="center" style="color:#1F1F1F">86 (57.3)</td>
<td align="center" style="color:#1F1F1F">1.75 (0.71&#x2013;4.31)</td>
<td align="center" style="color:#1F1F1F">166 (50.2)</td>
<td align="center" style="color:#1F1F1F">42 (55.3)</td>
<td align="center" style="color:#1F1F1F">1.91 (0.64&#x2013;5.71)</td>
</tr>
<tr>
<td rowspan="3" align="left" style="color:#1F1F1F">Parity</td>
<td align="left" style="color:#1F1F1F">None</td>
<td align="center" style="color:#1F1F1F">87 (33.9)</td>
<td align="center" style="color:#1F1F1F">38 (25.3)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">101 (30.5)</td>
<td align="center" style="color:#1F1F1F">24 (31.6)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Two</td>
<td align="center" style="color:#1F1F1F">69 (26.8)</td>
<td align="center" style="color:#1F1F1F">38 (25.3)</td>
<td align="center" style="color:#1F1F1F">0.94 (0.45&#x2013;1.97)</td>
<td align="center" style="color:#1F1F1F">89 (26.9)</td>
<td align="center" style="color:#1F1F1F">18 (23.7)</td>
<td align="center" style="color:#1F1F1F">0.63 (0.25&#x2013;1.59)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">More than two</td>
<td align="center" style="color:#1F1F1F">101 (39.3)</td>
<td align="center" style="color:#1F1F1F">74 (.3)</td>
<td align="center" style="color:#1F1F1F">1.18 (0.45&#x2013;3.08)</td>
<td align="center" style="color:#1F1F1F">141 (42.6)</td>
<td align="center" style="color:#1F1F1F">34 (44.7)</td>
<td align="center" style="color:#1F1F1F">0.54 (0.16&#x2013;1.75)</td>
</tr>
<tr>
<td rowspan="3" align="left" style="color:#1F1F1F">Husband&#x2019;s occupation</td>
<td align="left" style="color:#1F1F1F">Government employee</td>
<td align="center" style="color:#1F1F1F">173 (67.3)</td>
<td align="center" style="color:#1F1F1F">102 (68)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">225 (68)</td>
<td align="center" style="color:#1F1F1F">50 (65.8)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Private employee</td>
<td align="center" style="color:#1F1F1F">47 (18.3)</td>
<td align="center" style="color:#1F1F1F">26 (17.3)</td>
<td align="center" style="color:#1F1F1F">0.86 (0.47&#x2013;1.56)</td>
<td align="center" style="color:#1F1F1F">57 (17.2)</td>
<td align="center" style="color:#1F1F1F">16 (21.1)</td>
<td align="center" style="color:#1F1F1F">1.82 (0.87&#x2013;3.79)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Self-employee</td>
<td align="center" style="color:#1F1F1F">37 (14.4)</td>
<td align="center" style="color:#1F1F1F">22 (14.7)</td>
<td align="center" style="color:#1F1F1F">1.39 (0.68&#x2013;2.86)</td>
<td align="center" style="color:#1F1F1F">49 (14.8)</td>
<td align="center" style="color:#1F1F1F">10 (13.2)</td>
<td align="center" style="color:#1F1F1F">1.97 (0.79&#x2013;4.88)</td>
</tr>
<tr>
<td rowspan="6" align="left" style="color:#1F1F1F">Husband&#x2019;s educational level</td>
<td align="left" style="color:#1F1F1F">Illiterate</td>
<td align="center" style="color:#1F1F1F">6 (2.3)</td>
<td align="center" style="color:#1F1F1F">0</td>
<td align="center">NAE</td>
<td align="center" style="color:#1F1F1F">6 (1.8)</td>
<td align="center" style="color:#1F1F1F">0</td>
<td align="center">NAE</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Primary school</td>
<td align="center" style="color:#1F1F1F">5 (1.9)</td>
<td align="center" style="color:#1F1F1F">2 (1.3)</td>
<td align="center">NAE</td>
<td align="center" style="color:#1F1F1F">5 (1.5)</td>
<td align="center" style="color:#1F1F1F">2 (2.6)</td>
<td align="center">NAE</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Intermediate school</td>
<td align="center" style="color:#1F1F1F">15 (5.8)</td>
<td align="center" style="color:#1F1F1F">7 (4.7)</td>
<td align="center">NAE</td>
<td align="center" style="color:#1F1F1F">16 (4.8)</td>
<td align="center" style="color:#1F1F1F">6 (7.9)</td>
<td align="center">NAE</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">High school</td>
<td align="center" style="color:#1F1F1F">82 (31.9)</td>
<td align="center" style="color:#1F1F1F">60 (40)</td>
<td align="center">NAE</td>
<td align="center" style="color:#1F1F1F">125 (37.8)</td>
<td align="center" style="color:#1F1F1F">17 (22.4)</td>
<td align="center">NAE</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">University/College</td>
<td align="center" style="color:#1F1F1F">128 (49.8)</td>
<td align="center" style="color:#1F1F1F">71 (47.3)</td>
<td align="center">NAE</td>
<td align="center" style="color:#1F1F1F">158 (47.7)</td>
<td align="center" style="color:#1F1F1F">41 (53.9)</td>
<td align="center">NAE</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Postgraduate studies</td>
<td align="center" style="color:#1F1F1F">21 (8.2</td>
<td align="center" style="color:#1F1F1F">10 (6.7)</td>
<td align="center">NAE</td>
<td align="center" style="color:#1F1F1F">21 (6.3)</td>
<td align="center" style="color:#1F1F1F">10 (13.2)</td>
<td align="center">NAE</td>
</tr>
<tr>
<td rowspan="3" align="left" style="color:#1F1F1F">Husband&#x2019;s income</td>
<td align="left" style="color:#1F1F1F">Low income</td>
<td align="center" style="color:#1F1F1F">24 (9.3)</td>
<td align="center" style="color:#1F1F1F">10 (6.7)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
<td align="center" style="color:#1F1F1F">29 (8.8)</td>
<td align="center" style="color:#1F1F1F">5 (6.6)</td>
<td align="center" style="color:#1F1F1F">Ref</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Lower middle income</td>
<td align="center" style="color:#1F1F1F">210 (81.7)</td>
<td align="center" style="color:#1F1F1F">131 (87.3)</td>
<td align="center" style="color:#1F1F1F">0.90 (0.34&#x2013;2.36)</td>
<td align="center" style="color:#1F1F1F">278 (84)</td>
<td align="center" style="color:#1F1F1F">63 (82.9)</td>
<td align="center" style="color:#1F1F1F">1.02 (0.27&#x2013;3.77)</td>
</tr>
<tr>
<td align="left" style="color:#1F1F1F">Upper middle income</td>
<td align="center" style="color:#1F1F1F">23 (8.9)</td>
<td align="center" style="color:#1F1F1F">9 (6)</td>
<td align="center" style="color:#1F1F1F">0.46 (0.12&#x2013;1.66)</td>
<td align="center" style="color:#1F1F1F">24 (7.3)</td>
<td align="center" style="color:#1F1F1F">8 (10.5)</td>
<td align="center" style="color:#1F1F1F">1.51 (0.31&#x2013;7.43)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Numbers were presented as frequency (%); NAE: not able to estimate.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The present study examined the pattern of using prescription and nonprescription medications as well as herbal products and supplements during pregnancy among women in the Qassim region in Saudi Arabia. The consumption of prescription medications in the short-term and the usage of nonprescription medications during pregnancy were found in almost 40% of the participants. In addition, the usage of prescription medications for chronic conditions and herbal medications during pregnancy were reported in almost 20% of the participants. In addition, almost all participants were found to be using pregnancy-related medications during their pregnancy. Further analysis revealed that women in their second and third trimesters were more likely to use prescription medications in the short term.</p>
<p>Further, we found that several classes of prescription medications were consumed in the short term during pregnancy; antibiotics were the most frequently utilized medications, followed by analgesics, and antacids. Studies conducted in Switzerland (<xref ref-type="bibr" rid="B16">Ger et al., 2021</xref>) and the Netherlands (<xref ref-type="bibr" rid="B12">De Waard et al., 2019</xref>) had similar findings. Moreover, the current study found that 4 out of 10 pregnant women used laxatives, compared to 8.7 out of 10 pregnant women in a study conducted in the Netherlands (<xref ref-type="bibr" rid="B12">de Waard et al., 2019</xref>). The variation could be attributed to a possibly lower prevalence of constipation within the current research sample. In contrast, the proportion of pregnant women using prescription medicines for chronic illnesses, such as hormone replacement therapy for hypothyroidism, antihypertensive medication for those with hypertension, and antidiabetic medication for those with diabetes were comparable to the proportions observed in research conducted in Norway (<xref ref-type="bibr" rid="B15">Engeland et al., 2018</xref>).</p>
<p>According to the findings of the current study, folic acid/iron supplements, and calcium supplements are the most frequently used pregnancy-related medications. These findings are in accordance with a study conducted in Northwest China (<xref ref-type="bibr" rid="B24">Liu et al., 2019</xref>), which reported that a higher percentage (&#x3e;50%) of participants used folic acid and calcium during pregnancy while only 5.4% reported using iron. This similarity may stem from the higher prevalence of higher education among these samples; this emphasizes the participants&#x2019; understanding of the need for supplement consumption during pregnancy. Further, the findings of the current study revealed that analgesics were the most frequently utilized nonprescription medications, which is also what was found in another study conducted in Riyadh, Saudi Arabia (<xref ref-type="bibr" rid="B5">Alyami et al., 2023</xref>). Most of the participants complained of headaches and fever, leading to the frequent utilization of analgesics. Conversely, in the current study cough/cold medications and antiemetics were much lower than that reported in the Riyadh study (<xref ref-type="bibr" rid="B5">Alyami et al., 2023</xref>). This variation could be due to the lower proportion of pregnant women with nausea, cough, or colds in the current research sample. In addition, this study found that a few pregnant women utilized herbal medications&#x2014;such as those containing ginger, anise, and cumin&#x2014;to treat certain problems. The findings of this study were comparable to studies conducted in Bangladesh and the United States (<xref ref-type="bibr" rid="B3">Ahmed et al., 2018</xref>; <xref ref-type="bibr" rid="B20">Illamol et al., 2020</xref>). During the interviews, participants stated that they utilized herbal medication throughout their pregnancy because they believed they were safer than mainstream medicines and are more easily accessible.</p>
<p>The present study also indicated that pregnant women in their second and third trimesters were more likely to use prescription medications in the short term, with antibiotics being the most prescribed medications (62%). This result is in accordance with a multinational study conducted across Europe (Western, Northern, and Eastern), North and South America, and Australia which found that 68% of 9,459 patients used at least one short-term medication during their pregnancy (<xref ref-type="bibr" rid="B25">Lupattelli et al., 2014</xref>). This result differs from research conducted in the Netherlands (<xref ref-type="bibr" rid="B12">de Waard et al., 2019</xref>), where antibiotics use was noticed in almost 35% of the population. This might be due to restricted antibiotic prescribing in the Netherlands compared to Saudi Arabia. In contrast, pregnant women with more than two previous births were less likely to use prescription medication in the short term during their pregnancy. This result was different from that of a multinational study in Europe, which revealed that women who had previously given birth were more likely to use medication in the short term during their current pregnancy (<xref ref-type="bibr" rid="B25">Lupattelli et al., 2014</xref>).</p>
<p>This study has several limitations that should be considered. First, its cross-sectional design captures medication use at a single point in time, which is subject to recall bias and does not allow for monitoring changes in medication patterns throughout the course of a pregnancy. Second, the use of a convenience sample from a single hospital in Buraydah limits the generalizability of the findings to other regions in Saudi Arabia or different healthcare settings, as such samples are vulnerable to various forms of bias (selection, volunteering, and Contextual Bias). Third, the data was collected via self-report questionnaires, which may be influenced by social desirability bias and could not be validated against official medical or pharmacy records. Finally, while the study identified classes of medications, it did not analyze specific drug names, dosages, or the precise timing of use, which are critical for a detailed risk assessment. Additionally, the study did not capture the source of the medication recommendation (e.g., physician, pharmacist, or self-medication), which limits our ability to assess the specific influence of professional pharmacy advice versus lay recommendations.</p>
<p>Despite these limitations, this study&#x2019;s findings have important implications for clinical practice and public health. First, the safety implications of the observed medication patterns are significant. The high rate of antibiotic use (62.1% of short-term prescriptions) raises concerns regarding antimicrobial resistance (AMR), which may alter the maternal and neonatal microbiome, potentially impacting long-term infant immunity (<xref ref-type="bibr" rid="B17">Gonz&#xe1;lez-P&#xe9;rez et al., 2016</xref>). Furthermore, the widespread use of OTC analgesics (50% of OTC users) warrants specific caution regarding teratogenicity and fetal safety. While acetaminophen is generally considered safe, the inadvertent use of nonsteroidal anti-inflammatory drugs (NSAIDs) during the third trimester is associated with risks, such as premature closure of the fetal ductus arteriosus and oligohydramnios (<xref ref-type="bibr" rid="B23">Koren et al., 2006</xref>). Finally, the use of herbal products containing anise (27.6%) and cumin (18.4%) presents a safety paradox. While users perceive these as safe and natural, robust clinical data establishing their safety profiles and teratogenic risks in medicinal dosages are largely absent. This uncertainty necessitates caution and highlights the urgent need for evidence-based education regarding the unsupervised use of &#x201c;natural&#x201d; products (<xref ref-type="bibr" rid="B10">Bernstein et al., 2020</xref>).</p>
<p>Consequently, strict adherence to global safety guidelines is necessary to mitigate these risks. Our findings revealed that antibiotics were the most frequently used prescription medication for short-term conditions, primarily for UTIs. This aligns with ACOG guidelines, which emphasize that while antibiotic stewardship is crucial, untreated bacteriuria in pregnancy carries significant risks, such as pyelonephritis and preterm birth, thereby necessitating appropriate treatment (<xref ref-type="bibr" rid="B1">ACOG, 2023</xref>). However, the widespread use of antibiotics also emphasizes the need for enhanced pharmacovigilance to monitor prescribing patterns and enforce the Saudi Ministry of Health&#x2019;s National Action Plan on Antimicrobial Resistance, which is in line with WHO recommendations for rational drug use during pregnancy (<xref ref-type="bibr" rid="B35">Zanichelli et al., 2023</xref>; <xref ref-type="bibr" rid="B30">Sheerah et al., 2025</xref>). With regard to herbal remedies, our study found that ginger was most commonly (44.7%) used primarily for nausea. This practice is supported by ACOG Practice Bulletin No. 189 on nausea and vomiting in pregnancy, which considers ginger a reasonable nonpharmacological option for mild symptoms (<xref ref-type="bibr" rid="B2">ACOG Practice Bulletin No. 189, 2018</xref>). Conversely, the near-universal use of folic acid (98.3%) and iron (92.0%) in our cohort reflects strong adherence to Saudi Ministry of Health antenatal protocols and WHO antenatal care guidelines (<xref ref-type="bibr" rid="B31">Tun&#xe7;alp et al., 2017</xref>; <xref ref-type="bibr" rid="B4">Alsolami et al., 2024</xref>).</p>
<p>From a pharmacovigilance perspective, the concurrent use of prescription drugs, OTC medications (reported by 36.9% of participants), and herbal products highlights a complex safety profile that requires active management. Therefore, healthcare providers, particularly clinical pharmacists, must act as the primary checkpoint for medication safety. Implementing routine medication reconciliation processes during antenatal visits is essential to identify potential drug&#x2013;herb interactions and ensure that all therapeutic interventions&#x2014;whether prescribed or self-administered&#x2014;adhere to the safety standards outlined by WHO and ACOG (<xref ref-type="bibr" rid="B11">Cheema et al., 2018</xref>). To operationalize this, we propose implementing active pharmacist-led verification, such as &#x201c;brown bag&#x201d; reviews, to comprehensively assess all patient-consumed products (<xref ref-type="bibr" rid="B14">Dunston et al., 2025</xref>). Furthermore, targeted prenatal education modules are needed to address specific knowledge gaps regarding herbal safety and trimester-specific NSAID avoidance.</p>
<p>Future research should aim to overcome the limitations of this study. Prospective, multicenter cohort studies across different regions of Saudi Arabia are needed to provide a more dynamic and representative picture of medication use. Such studies should validate self-reported data against medical and prescription records to ensure accuracy. Furthermore, qualitative research could provide valuable insights into the beliefs and attitudes that drive medication choices among pregnant women, particularly regarding herbal remedies. Finally, linking medication exposure data to maternal and neonatal health outcomes would be invaluable for establishing the safety profiles of the most commonly used medications in this population.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>This study&#x2019;s findings highlight that a considerable number of pregnant women use a variety of medications during their pregnancy. The medications that were most frequently used for acute/short-term illnesses were antibiotics, while the ones for chronic/long-term conditions were those used for hormonal replacement therapy. During pregnancy, common OTC medications, and herbal remedies, such as analgesics and antacids, were frequently utilized. Additionally, pregnant women were found to commonly take additional supplements such as folic acid as well as various vitamins and minerals. The common reasons for using medications during pregnancy were UTI, hypothyroidism, headaches, and nausea.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>MA: Conceptualization, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Supervision, Visualization, Writing &#x2013; review and editing. MS: Conceptualization, Data curation, Methodology, Project administration, Resources, Validation, Visualization, Writing &#x2013; review and editing. HA: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Resources, Software, Writing &#x2013; original draft. AA: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Resources, Software, Writing &#x2013; original draft. FA: Conceptualization, Formal Analysis, Investigation, Methodology, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; review and editing. OA: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Resources, Supervision, Validation, Visualization, Writing &#x2013; review and editing.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>The researchers would like to thank the Deanship of Graduate Studies and Scientific Research at Qassim University for financial support (QU-APC-2025).</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<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="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2025.1732619/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2025.1732619/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/189322/overview">Karel Allegaert</ext-link>, KU Leuven, Belgium</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1475066/overview">&#x17d;eljko Jovanovi&#x107;</ext-link>, University of Rijeka, Croatia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3000731/overview">Arash Khalili</ext-link>, Hamadan University of Medical Sciences, Iran</p>
</fn>
</fn-group>
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