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<?covid-19-tdm?>
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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
<issn pub-type="epub">1664-0640</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyt.2021.745034</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychiatry</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>COVID-19 Pandemic and Maternal Psychological Wellbeing During the Malaysian Movement Control Order: A Cross-Sectional Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Kalok</surname> <given-names>Aida</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1010916/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Syed Anwar Aly</surname> <given-names>Syarifah Aminah</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Abdul Rahman</surname> <given-names>Rahana</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Mahdy</surname> <given-names>Zaleha Abdullah</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/284774/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Sharip</surname> <given-names>Shalisah</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Obstetrics and Gynaecology Department, Faculty of Medicine, National University of Malaysia, Universiti Kebangsaan Malaysia Medical Centre</institution>, <addr-line>Kuala Lumpur</addr-line>, <country>Malaysia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Psychiatry Department, Faculty of Medicine, National University of Malaysia, Universiti Kebangsaan Malaysia Medical Centre</institution>, <addr-line>Kuala Lumpur</addr-line>, <country>Malaysia</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Elnara Shafiyeva, Baku State University, Azerbaijan</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Ahmed Imran Hunjra, Ghazi University, Pakistan; O&#x001E7;uz Arkonu&#x000E7;, I&#x001E7;d&#x00131;r &#x000DC;niversitesi, Turkey; Timea Helter, Medical University of Vienna, Austria</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Aida Kalok <email>aida.kalok&#x00040;gmail.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Public Mental Health, a section of the journal Frontiers in Psychiatry</p></fn></author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>01</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>745034</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Kalok, Syed Anwar Aly, Abdul Rahman, Mahdy and Sharip.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Kalok, Syed Anwar Aly, Abdul Rahman, Mahdy and Sharip</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p><bold>Background:</bold> COVID-19 pandemic had resulted in nationwide lockdown as a disease control measure. Potential harm to self and baby due to COVID-19 infection as well as uncertainties about delivery are among contributors to maternal anxiety. We aimed to assess the prevalence of psychological distress among pregnant women during the Malaysian Movement Control Order (MCO).</p>
<p><bold>Methods:</bold> A cross-sectional study was conducted between May and June 2020 in a teaching hospital in Kuala Lumpur, Malaysia. A self-administered electronic questionnaire was distributed which included the following; (1) Depression, Anxiety and Stress Scale-21 (DASS 21), (2) Short Warwick Edinburgh Mental Wellbeing Scale (SWEMWBS), (3) MCO effect questionnaire, and (4) newly designed COVID-19 pregnancy-related anxiety. Chi-square test and logistic regression were performed to determine significant associations whilst mean scores comparison were conducted through Mann-Whitney-<italic>U</italic>-test.</p>
<p><bold>Results:</bold> Four hundred and fifteen women were included in the final analysis. The prevalence of psychological distress among our cohort was 14.7%; with a two-fold increase of risk among the non-Malays (AOR 1.98, 95% CI 1.00&#x02013;3.89) whilst a greater number of social support showed a protective effect (AOR 0.51, 95%CI 0.28&#x02013;0.92). Malay ethnicity (<italic>p</italic> &#x0003C; 0.001) alongside greater household income (<italic>p</italic> = 0.014) were positive predictors of a higher sense of maternal wellbeing. Multiparous women and those of higher economic status experienced the more negative effect of the MCO. Around 88% of our women reported a higher level of COVID-19 pregnancy-related anxiety. Younger (<italic>p</italic> = 0.017) and first-time mothers (<italic>p</italic> = 0.039) were more likely to be anxious. Although adequate maternal knowledge on COVID-19 was associated with a greater sense of maternal wellbeing (<italic>p</italic> = 0.028), it was also linked to a higher level of COVID-19 related anxiety (AOR 3.54, 95% 1.29&#x02013;9.70).</p>
<p><bold>Conclusion:</bold> There was a relatively low prevalence of psychological distress among expectant mothers in Malaysia during the first wave of the COVID-19 pandemic. Expectant mothers should receive accurate and reliable information on the effect of COVID-19 on pregnancy to relieve some maternal anxiety. Maternal health screening is important to identify individuals who would benefit from extra support and mental health intervention, especially in prolonged lockdown.</p>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>pregnancy</kwd>
<kwd>depression</kwd>
<kwd>anxiety</kwd>
<kwd>DASS-21</kwd>
<kwd>SWEMWBS</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="10"/>
<word-count count="7338"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Corona Virus Disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which was first identified in Wuhan, China. The rapid spread of the virus since its first detection in December 2019, had resulted in a global outbreak and the declaration of a pandemic by the World Health Organization (WHO) on 11 March 2020. To date, around 188 million people were infected worldwide with four million recorded mortalities (<xref ref-type="bibr" rid="B1">1</xref>). Malaysia reported over nine hundred thousand cases with a death rate of 0.77% (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Public health measures such as accurate and early detection of SARS-CoV-2, combined with isolation and contract tracing of positive cases, are essential to prevent further community spread (<xref ref-type="bibr" rid="B3">3</xref>). Mass quarantine is also implemented by authorities in the effort to reduce COVID-19 transmission. Similar to other countries, the Malaysian Government had implemented nationwide lockdown in the form of movement control order (MCO). The MCO involved the closure of the international border as well as all educational and business premises (<xref ref-type="bibr" rid="B4">4</xref>). Any mass gathering was strictly prohibited and only selected providers of essential services such as food, health, telecommunication, and transportation were allowed to operate (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>The risk of severe coronavirus disease 2019 (COVID-19) among pregnant women may be higher than in the general population. Physiological and immunity changes during pregnancy increase the women&#x00027;s susceptibility to severe disease (<xref ref-type="bibr" rid="B6">6</xref>). Data from the United States&#x00027; Centre for Disease Control and Prevention (CDC) indicated that pregnancy was significantly associated with an increased chance of ICU admission, the need for invasive ventilation, and maternal mortality (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>The combination of disease pandemic and national lockdown would inevitably lead to psychological distress and a low state of wellbeing among pregnant women (<xref ref-type="bibr" rid="B8">8</xref>). Psychological wellbeing is a mixture of pleasant emotion and the ability to function effectively in the personal and social domain (<xref ref-type="bibr" rid="B9">9</xref>). The nature of psychological wellbeing is multi-dimensional, which includes a sense of control, supportive social relations, and general satisfaction with life (<xref ref-type="bibr" rid="B10">10</xref>). Previous studies have demonstrated the negative correlation between psychological wellbeing and distress (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Labrague et al. found that higher levels of fear of COVID-19 were associated with increased psychological distress, lesser job satisfaction, reduced health perceptions and greater turnover intention (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Risk of COVID-19 transmission to self and fetus alongside uncertainties about deliveries, loss of household income, and domestic conflict was among the stressors which contributed toward pregnancy-related anxiety (<xref ref-type="bibr" rid="B12">12</xref>). Studies conducted during the first wave of the pandemic showed an increase in the prevalence of depression and anxiety among pregnant women (<xref ref-type="bibr" rid="B13">13</xref>&#x02013;<xref ref-type="bibr" rid="B15">15</xref>). Wu et al. found that the depressive rates were positively associated with the number of newly-confirmed COVID-19 cases and fatalities (<xref ref-type="bibr" rid="B15">15</xref>). Primiparity, younger age, lack of social support, and previous psychiatric diagnosis were among the risk factors for maternal depression and anxiety (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Evidence shows that prenatal psychological distress affects both maternal and fetal wellbeing, with a potentially long-term effect on child development (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Maternal stress in pregnancy may lead to poor maternal psychosocial function and parenting difficulties, whilst adverse effects on the fetus include growth restriction, alteration in brain development, prematurity, and low birth weight (<xref ref-type="bibr" rid="B18">18</xref>). Recent evidence has demonstrated the negative impact of prenatal depression and anxiety on the socio-emotional (<xref ref-type="bibr" rid="B19">19</xref>) and cognitive development of the offspring (<xref ref-type="bibr" rid="B20">20</xref>); with an increased risk of depression in adolescence and adulthood (<xref ref-type="bibr" rid="B21">21</xref>). Therefore, in this era of the COVID-19 pandemic, maternal mental health wellbeing should be considered an important public health issue. We aimed to assess the prevalence of psychological distress among Malaysian pregnant women during the COVID-19 nationwide lockdown. Our study objectives also included the evaluation of maternal COVID-19 pregnancy-related anxiety and the impact of MCO on their psychological wellbeing.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<p>We conducted a cross-sectional study during the Malaysian MCO; from May 2020 till June 2020 among women who received obstetric care in a teaching hospital in Kuala Lumpur. Prior study approval was obtained from the Ethics Committee of Universiti Kebangsaan Malaysia (FF-2020-211). The inclusion criteria were pregnant Malaysian women aged above 18 years old and able to understand the Malay language, whilst exclusion criteria were women with abnormal fetuses or stillbirth. Participants recruitment was conducted among women who: (1) attended the outpatient clinic for an antenatal appointment, and (2) admitted to the obstetric ward for delivery or other medical complications. Eligible women were invited to complete the electronic version of the questionnaire through Google form, which contained a consent section. Socio-demographics and clinical data were included in the data collection. We also evaluated the maternal knowledge, perception, and practice during the COVID-19 pandemic as part of this research and the relevant results had already been published (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<sec>
<title>Instruments</title>
<p>Our survey was conducted in Malay, the country&#x00027;s national language. The following instruments were used for data collection.</p>
<sec>
<title>Depression, Anxiety and Stress Scale-21 and Psychological Distress</title>
<p>DASS 21 is a self-reporting tool measuring characteristic attitudes and symptoms of depression, anxiety, and stress (<xref ref-type="bibr" rid="B23">23</xref>). There are seven items for each emotional state. The Malay version of the questionnaires had been validated and demonstrated to have good psychometric properties for the general Malaysian population (<xref ref-type="bibr" rid="B24">24</xref>) with an overall Cronbach&#x00027;s alpha of 0.90 (<xref ref-type="bibr" rid="B25">25</xref>). The participants were asked to rate the extent to which they have experienced various symptoms over the past week, and the score for each subscale was calculated based on the previous study (<xref ref-type="bibr" rid="B26">26</xref>). A respondent who demonstrated symptoms of depression, anxiety, or stress from the calculated score would be considered as experiencing psychological distress.</p>
</sec>
<sec>
<title>Short Warwick Edinburgh Mental Wellbeing Scale</title>
<p>The Short Warwick&#x02013;Edinburgh Mental Wellbeing Scale (SWEMWBS) is a shorter version of the 14-items Warwick&#x02013;Edinburgh Mental Wellbeing Scale (WEMWBS), which was originally developed to monitor wellbeing in the general population (<xref ref-type="bibr" rid="B27">27</xref>), and to evaluate policies addressing wellbeing (<xref ref-type="bibr" rid="B27">27</xref>&#x02013;<xref ref-type="bibr" rid="B29">29</xref>). There are seven positively worded items, each with five response categories (1, none of the time; 5, all of the time). The score range is 7&#x02013;35, and higher scores indicate greater mental wellbeing (<xref ref-type="bibr" rid="B30">30</xref>). The Malay version of the SWEMWBS had been validated in a Malaysian cohort and was negatively correlated with depression, anxiety, and stress (<xref ref-type="bibr" rid="B5">5</xref>). The mean score for SWEMWBS was used to determine the threshold for a higher sense of wellbeing among our cohort.</p>
</sec>
<sec>
<title>Perception of the Effect of MCO on Self Wellbeing</title>
<p>We assessed the maternal perception of the effect of MCO on their wellbeing using a three-item questionnaire which was developed by Kalok et al. The questionnaire previously demonstrated a good internal consistency (Cronbach&#x00027;s alpha 0.86) (<xref ref-type="bibr" rid="B5">5</xref>). The participants were asked to rate each statement using a scale; 1 (strongly disagree) to 7 (strongly agree):</p>
<list list-type="alpha-lower">
<list-item><p>MCO has disrupted your daily life.</p></list-item>
<list-item><p>MCO has affected your physical wellbeing.</p></list-item>
<list-item><p>MCO has affected your mental/psychological wellbeing.</p></list-item>
</list>
<p>The total score for all three responses was calculated, and a cut-off level based on the mean score was determined (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). A total score above this level would indicate that the MCO was perceived to have a negative effect on the woman&#x00027;s wellbeing.</p>
</sec>
<sec>
<title>COVID-19 Pregnancy-Related Anxiety</title>
<p>A five-item questionnaire was designed to assess COVID-19 pregnancy-related anxiety. Each woman was asked to respond to each item on COVID-19 using a scale; 1 (not worried at all) to 7 (very worried):</p>
<list list-type="alpha-lower">
<list-item><p>Infection to self</p></list-item>
<list-item><p>Infection to baby</p></list-item>
<list-item><p>COVID-19 causing miscarriage</p></list-item>
<list-item><p>COVID-19 causing preterm birth</p></list-item>
<list-item><p>COVID-19 causing abnormality to baby</p></list-item>
</list>
<p>The total score ranged from 7 to 35. We used a 50% cut-off level (score &#x02265; 18) to indicate greater maternal anxiety.</p>
</sec>
<sec>
<title>Social Support</title>
<p>We had asked the participants to indicate their perceived source of social support. Social support may be in various forms including emotional, physical, or even financial. The participants were given a list that includes family, friends, employer, and government; and they were free to choose as many as they deemed relevant.</p>
</sec>
<sec>
<title>COVID-19 Related Knowledge</title>
<p>We developed a nine-item questionnaire that covered the sign and symptoms of COVID-19, methods of transmission, and disease prevention; based on the available literature. Total knowledge score ranged from 0 to 9. Participants&#x00027; overall knowledge was categorized as adequate if the score was more than 50% (<xref ref-type="bibr" rid="B22">22</xref>). The association between maternal knowledge and psychological distress, maternal wellbeing, perceived MCO effect, and COVID-19 related anxiety was evaluated in this study.</p>
</sec>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>This study was part of research that included the evaluation of maternal knowledge on COVID-19. Our sample size was determined based on the assumption that the probability of having adequate maternal knowledge was 50.0% (<xref ref-type="bibr" rid="B33">33</xref>). Taking into consideration, 95% confidence interval, the limit of precision 5%, with a design effect of 1.0, the calculated sample size was 384 participants.</p>
<p>The study data were analyzed using the Statistical Package of Social Sciences (SPSS) Version 24.0 (IBM Corp., Armonk, NY, USA). Data were presented as mean (standard deviation, SD) or number, n (percentage, %) for continuous and categorical data, respectively. The scores for DASS 21, SWEMWBS, MCO effect, and COVID-19 pregnancy-related anxiety were inspected for normality using the Kolmogorov&#x02013;Smirnov test. The internal consistency of all the questionnaires was assessed using Cronbach&#x00027;s alpha. Cronbach&#x00027;s alpha &#x0003E; 0.7 was regarded as satisfactory. All of the items in the newly designed COVID-19 related anxiety questionnaire underwent exploratory factor analysis to confirm the number of factors. The Kaiser rule (Eigenvalue &#x0003E; 1.0) was applied to determine the number of dimensions to extract, whilst the sampling adequacy was assessed through Bartlett&#x00027;s test of sphericity and Kaiser&#x02013;Meyer&#x02013;Olkin (KMO). The correlations between the COVID-19 pregnancy-related anxiety and psychological distress, maternal wellbeing, and MCO effect were assessed using Pearson&#x00027;s correlation.</p>
<p>Chi-square test and univariate analysis were performed to determine the significant factors associated with (1) maternal psychological distress, (2) higher sense of maternal wellbeing, (3) negative effect of MCO, and (4) greater COVID-19 pregnancy-related anxiety. The statistically significant variables were analyzed in the multiple variable logistic regression, which included the adjustment for age, ethnicity, and parity, to produce the adjusted odd ratios (AORs) and the corresponding 95% confidence interval. The mean scores for SWEMWBS, MCO effect, and COVID-19 related anxiety were also compared using different maternal characteristics. A <italic>p</italic>-value &#x0003C;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>We approached four-hundred and fifty women for this study and 93% completed the questionnaire. Five women were excluded due to incomplete data; resulting in a total number for analysis of 415. The demographic and clinical characteristics of our cohort are demonstrated in <xref ref-type="table" rid="T1">Table 1</xref>. The mean (SD) age for our women was 32.4 (4.5) and the majority (85%) were Malays. Over three-quarters of our women received tertiary education and were employed. Around 60% of participants were pregnant whilst the remaining was post-partum. The mean (SD) gestation was 31.8 (8.3) weeks. Almost two-fifths of our women had medical or obstetric complications. <xref ref-type="table" rid="T1">Table 1</xref> also depicts the social support received by the women. The majority of women received family support (92%). The proportions who reported employer and government support were 49 and 61%, respectively. Our study also found that around 95% of our participants demonstrated adequate knowledge of COVID-19.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Demographics, clinical characteristics, social support, and maternal knowledge.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Maternal characteristics</bold></th>
<th valign="top" align="center"><bold><italic>n</italic> (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, mean (SD)</td>
<td valign="top" align="center">32.4 (4.5)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Ethnicity</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Malay</td>
<td valign="top" align="center">353 (85.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Chinese</td>
<td valign="top" align="center">40 (9.6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Indian</td>
<td valign="top" align="center">11 (2.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Others</td>
<td valign="top" align="center">11 (2.7)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Education</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Primary</td>
<td valign="top" align="center">2 (0.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Secondary</td>
<td valign="top" align="center">94 (22.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Tertiary</td>
<td valign="top" align="center">319 (76.9)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Employment</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Employed/self employed</td>
<td valign="top" align="center">322 (77.6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Housewife</td>
<td valign="top" align="center">91 (21.9)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Student</td>
<td valign="top" align="center">2 (0.5)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Household income</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x0003C;RM 2,000</td>
<td valign="top" align="center">25 (6.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;RM 2,000&#x02013;4,999</td>
<td valign="top" align="center">178 (42.9)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;RM 5,000&#x02013;10,000</td>
<td valign="top" align="center">177 (42.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x0003E;RM 10,000</td>
<td valign="top" align="center">35 (8.4)</td>
</tr>
<tr>
<td valign="top" align="left">Critical sector employment</td>
<td valign="top" align="center">157 (37.8)</td>
</tr>
<tr>
<td valign="top" align="left">Parity, mean (SD)</td>
<td valign="top" align="center">1.7 (1.3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Nulliparous</td>
<td valign="top" align="center">68 (16.4)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Multiparous</td>
<td valign="top" align="center">347 (83.6)</td>
</tr>
<tr>
<td valign="top" align="left">Antenatal</td>
<td valign="top" align="center">240 (57.8)</td>
</tr>
<tr>
<td valign="top" align="left">Postnatal</td>
<td valign="top" align="center">175 (42.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Vaginal birth</td>
<td valign="top" align="center">107 (25.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;Cesarean delivery</td>
<td valign="top" align="center">68 (16.4)</td>
</tr>
<tr>
<td valign="top" align="left">Gestation, mean (SD)</td>
<td valign="top" align="center">31.8 (8.3)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Medical or Obstetrics complication</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
<td valign="top" align="center">157 (37.8)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertensive disorder</td>
<td valign="top" align="center">26 (6.3)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">89 (21.4)</td>
</tr>
<tr>
<td valign="top" align="left">Anemia</td>
<td valign="top" align="center">17 (4.1)</td>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">25 (6.0)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Social support</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Family</td>
<td valign="top" align="center">383 (92.0)</td>
</tr>
<tr>
<td valign="top" align="left">Friends</td>
<td valign="top" align="center">234 (56.4)</td>
</tr>
<tr>
<td valign="top" align="left">Employer</td>
<td valign="top" align="center">204 (49.2)</td>
</tr>
<tr>
<td valign="top" align="left">Government</td>
<td valign="top" align="center">256 (61.7)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>COVID-19 related knowledge</bold></td>
</tr>
<tr>
<td valign="top" align="left">Inadequate</td>
<td valign="top" align="center">21 (5.1)</td>
</tr>
<tr>
<td valign="top" align="left">Adequate</td>
<td valign="top" align="center">394 (94.9)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>SD, standard deviation; RM, Ringgit Malaysia; COVID-19, Corona Virus Disease 2019</italic>.</p>
</table-wrap-foot>
</table-wrap>
<sec>
<title>Psychological Distress</title>
<p>The Cronbach alpha for the Malay version of DASS-21 was 0.960. The proportion of our women who reported symptoms of depression, anxiety, and stress were 4.3, 14.0, and 5.8%, respectively; as demonstrated in <xref ref-type="table" rid="T2">Table 2</xref>. The prevalence of psychological distress in our cohort was 14.7% as sixty-one women scored positive in at least one category. We found that the non-Malays were almost twice more likely to report symptoms of depression, anxiety, or stress (<italic>p</italic> = 0.049) whilst those with a greater number of social support were almost 50% less likely to suffer from psychological distress (<italic>p</italic> = 0.026); as demonstrated in <xref ref-type="table" rid="T3">Table 3</xref>.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Depression, anxiety, and stress prevalence according to categories.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>DASS-21 category</bold></th>
<th valign="top" align="center"><bold>Depression</bold><break/> <bold><italic>n</italic> (%)</bold></th>
<th valign="top" align="center"><bold>Anxiety</bold><break/> <bold><italic>n</italic> (%)</bold></th>
<th valign="top" align="center"><bold>Stress</bold><break/> <bold><italic>n</italic> (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">397 (95.7)</td>
<td valign="top" align="center">357 (86.0)</td>
<td valign="top" align="center">391 (94.2)</td>
</tr>
<tr>
<td valign="top" align="left">Mild</td>
<td valign="top" align="center">8 (1.9)</td>
<td valign="top" align="center">36 (8.7)</td>
<td valign="top" align="center">23 (5.5)</td>
</tr>
<tr>
<td valign="top" align="left">Moderate</td>
<td valign="top" align="center">8 (1.9)</td>
<td valign="top" align="center">14 (3.4)</td>
<td valign="top" align="center">1 (0.3)</td>
</tr>
<tr>
<td valign="top" align="left">Severe</td>
<td valign="top" align="center">2 (0.5)</td>
<td valign="top" align="center">7 (1.7)</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Extremely severe</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">1 (0.2)</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>DASS-21, Depression, Anxiety and Stress Scale 21-item</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Relationship between maternal demographics and psychological distress.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Factors</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Psychological distress</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold><italic>n</italic> (%)</bold></th>
<th valign="top" align="center"><bold>AOR (95% CI)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="3"><bold>Age</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;35</td>
<td valign="top" align="center">35 (13.5)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;35</td>
<td valign="top" align="center">26 (16.7)</td>
<td valign="top" align="center">1.18 (0.68&#x02013;2.07)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.380</td>
<td valign="top" align="center"><italic>p</italic> = 0.555</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Ethnicity</bold></td>
</tr>
<tr>
<td valign="top" align="left">Malay</td>
<td valign="top" align="center">47 (13.3)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Non-Malay</td>
<td valign="top" align="center">14 (22.6)</td>
<td valign="top" align="center">1.98 (1.00&#x02013;3.89)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.057</td>
<td valign="top" align="center"><italic>p</italic> = 0.049</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Income</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;RM 5,000</td>
<td valign="top" align="center">30 (14.8)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;RM 5,000</td>
<td valign="top" align="center">31 (14.6)</td>
<td valign="top" align="center">0.95 (0.55&#x02013;1.66)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.964</td>
<td valign="top" align="center"><italic>p</italic> = 0.861</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Education</bold></td>
</tr>
<tr>
<td valign="top" align="left">Non-tertiary</td>
<td valign="top" align="center">13 (13.5)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Tertiary</td>
<td valign="top" align="center">48 (15.0)</td>
<td valign="top" align="center">1.22 (0.62&#x02013;2.39)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.715</td>
<td valign="top" align="center"><italic>p</italic> = 0.560</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Employment</bold></td>
</tr>
<tr>
<td valign="top" align="left">Employed/self-employed</td>
<td valign="top" align="center">43 (13.4)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">18 (19.4)</td>
<td valign="top" align="center">1.46 (0.79&#x02013;2.71)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.150</td>
<td valign="top" align="center"><italic>p</italic> = 0.228</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Parity</bold></td>
</tr>
<tr>
<td valign="top" align="left">Nulliparous</td>
<td valign="top" align="center">6 (8.8)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Multiparous</td>
<td valign="top" align="center">55 (15.9)</td>
<td valign="top" align="center">2.02 (0.82&#x02013;4.95)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.135</td>
<td valign="top" align="center"><italic>p</italic> = 0.126</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Medical condition</bold></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">34 (13.2)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">27 (17.2)</td>
<td valign="top" align="center">1.33 (0.76&#x02013;2.34)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.262</td>
<td valign="top" align="center"><italic>p</italic> = 0.320</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Source of social support</bold></td>
</tr>
<tr>
<td valign="top" align="left">1&#x02013;2</td>
<td valign="top" align="center">39 (19.5)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">3 or more</td>
<td valign="top" align="center">22 (10.2)</td>
<td valign="top" align="center">0.51 (0.28&#x02013;0.92)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.008</td>
<td valign="top" align="center"><italic>p</italic> = 0.026</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>COVID-19 Knowledge</bold></td>
</tr>
<tr>
<td valign="top" align="left">Inadequate</td>
<td valign="top" align="center">5 (23.8)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Adequate</td>
<td valign="top" align="center">56 (14.2)</td>
<td valign="top" align="center">0.62 (0.21&#x02013;1.80)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.226</td>
<td valign="top" align="center"><italic>p</italic> = 0.377</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>AOR, adjusted odd ratio; CI, confidence interval; Ref, reference; COVID-19, Corona Virus Disease 2019. AOR was adjusted for age, ethnicity, and parity</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Short Warwick Edinburgh Mental Wellbeing Scale</title>
<p>The mean (SD) SWEMWBS score among our cohort was 26.90 (6.40). The seven-item questionnaire demonstrated good internal consistency with Cronbach&#x00027;s alpha of 0.961. SWEMWBS was positively correlated with depression, stress, and anxiety (<italic>p</italic> &#x0003C; 0.001) as depicted in <xref ref-type="table" rid="T4">Table 4</xref>. <xref ref-type="table" rid="T5">Table 5</xref> demonstrates the comparison of mean scores among women with different characteristics. The data analysis was performed through the Mann-Whitney-<italic>U</italic>-test as the SWEMBBS scores were not normally distributed. We found that the Malay women (<italic>p</italic> = 0.001) and those with greater income (<italic>p</italic> = 0.033) displayed significantly higher wellbeing scores. We used the total score of 26 and above as an indicator of a higher sense of maternal wellbeing. Chi-square and logistic regression analysis confirmed that Malay ethnicity along with greater household income (&#x0003E;RM5000) as an independent predictor of a higher sense of maternal wellbeing as shown in <xref ref-type="table" rid="T6">Table 6</xref>. Adequate maternal knowledge was positively associated with a greater sense of maternal wellbeing; however, the association was not significant after adjustment for age, ethnicity, and parity.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Pearson&#x00027;s correlations of DASS 21 domains, SWEMWBS, MCO effect, and COVID-19 anxiety.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Depression</bold></th>
<th valign="top" align="center"><bold>Anxiety</bold></th>
<th valign="top" align="center"><bold>Stress</bold></th>
<th valign="top" align="center"><bold>SWEMWBS</bold></th>
<th valign="top" align="center"><bold>MCO effect</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Depression</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anxiety</td>
<td valign="top" align="center">0.822</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> &#x0003C; 0.001</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Stress</td>
<td valign="top" align="center">0.880</td>
<td valign="top" align="center">0.882</td>
<td valign="top" align="center">1</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> &#x0003C; 0.001</td>
<td valign="top" align="center"><italic>p</italic> &#x0003C; 0.001</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">SWEMWBS</td>
<td valign="top" align="center">&#x02212;0.211</td>
<td valign="top" align="center">&#x02212;0.172</td>
<td valign="top" align="center">&#x02212;0.196</td>
<td valign="top" align="center">1</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> &#x0003C; 0.001</td>
<td valign="top" align="center"><italic>p</italic> &#x0003C; 0.001</td>
<td valign="top" align="center"><italic>p</italic> &#x0003C; 0.001</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">MCO Effect</td>
<td valign="top" align="center">0.093</td>
<td valign="top" align="center">0.095</td>
<td valign="top" align="center">0.099</td>
<td valign="top" align="center">&#x02212;0.168</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.057</td>
<td valign="top" align="center"><italic>p</italic> = 0.052</td>
<td valign="top" align="center"><italic>p</italic> = 0.045</td>
<td valign="top" align="center"><italic>p</italic> = 0.001</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">COVID-19 anxiety</td>
<td valign="top" align="center">&#x02212;0.088</td>
<td valign="top" align="center">&#x02212;0.051</td>
<td valign="top" align="center">&#x02212;0.051</td>
<td valign="top" align="center">0.185</td>
<td valign="top" align="center">0.009</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.075</td>
<td valign="top" align="center"><italic>p</italic> = 0.303</td>
<td valign="top" align="center"><italic>p</italic> = 0.301</td>
<td valign="top" align="center"><italic>p</italic> &#x0003C; 0.001</td>
<td valign="top" align="center"><italic>p</italic> = 0.856</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>SWEMWBS, Short Warwick&#x02013;Edinburgh Mental Wellbeing; MCO, Movement Control Order</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Comparison of maternal scores based on different maternal characteristics<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Maternal characteristics</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Mean (SD)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>SWEMWBS</bold></th>
<th valign="top" align="center"><bold>MCO effect</bold></th>
<th valign="top" align="center"><bold>COVID-19 pregnancy-related anxiety</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">All, mean (SD)</td>
<td valign="top" align="center">26.90 (6.40)</td>
<td valign="top" align="center">8.66 (5.40)</td>
<td valign="top" align="center">28.73 (7.91)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Age</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;35</td>
<td valign="top" align="center">26.73 (6.82)</td>
<td valign="top" align="center">8.64 (5.51)</td>
<td valign="top" align="center">29.10 (7.42)</td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;35</td>
<td valign="top" align="center">27.18 (5.63)</td>
<td valign="top" align="center">8.71 (5.25)</td>
<td valign="top" align="center">28.13 (8.67)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.905</td>
<td valign="top" align="center"><italic>p</italic> = 0.660</td>
<td valign="top" align="center"><italic>p</italic> = 0.546</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Ethnicity</bold></td>
</tr>
<tr>
<td valign="top" align="left">Malay</td>
<td valign="top" align="center">27.33 (6.20)</td>
<td valign="top" align="center">8.46 (5.42)</td>
<td valign="top" align="center">29.28 (7.57)</td>
</tr>
<tr>
<td valign="top" align="left">Non-Malay</td>
<td valign="top" align="center">24.42 (6.98)</td>
<td valign="top" align="center">9.84 (5.19)</td>
<td valign="top" align="center">25.65 (9.12)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.001</td>
<td valign="top" align="center"><italic>p</italic> = 0.028</td>
<td valign="top" align="center"><italic>p</italic> = 0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Education</bold></td>
</tr>
<tr>
<td valign="top" align="left">Non-tertiary</td>
<td valign="top" align="center">26.14 (6.52)</td>
<td valign="top" align="center">7.30 (4.92)</td>
<td valign="top" align="center">30.09 (7.97)</td>
</tr>
<tr>
<td valign="top" align="left">Tertiary</td>
<td valign="top" align="center">27.13 (6.35)</td>
<td valign="top" align="center">9.07 (5.48)</td>
<td valign="top" align="center">28.33 (7.86)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.159</td>
<td valign="top" align="center"><italic>p</italic> = 0.002</td>
<td valign="top" align="center"><italic>p</italic> = 0.011</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Employment</bold></td>
</tr>
<tr>
<td valign="top" align="left">Employed/self-employed</td>
<td valign="top" align="center">26.83 (6.37)</td>
<td valign="top" align="center">8.81 (5.47)</td>
<td valign="top" align="center">28.65 (7.74)</td>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">27.13 (6.52)</td>
<td valign="top" align="center">8.14 (5.15)</td>
<td valign="top" align="center">29.04 (8.52)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.328</td>
<td valign="top" align="center"><italic>p</italic> = 0.246</td>
<td valign="top" align="center"><italic>p</italic> = 0.313</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Household income</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;RM 5,000</td>
<td valign="top" align="center">26.38 (6.24)</td>
<td valign="top" align="center">7.58 (4.92)</td>
<td valign="top" align="center">28.86 (8.00)</td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;RM 5,000</td>
<td valign="top" align="center">27.39 (6.52)</td>
<td valign="top" align="center">9.70 (5.65)</td>
<td valign="top" align="center">28.62 (7.85)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.033</td>
<td valign="top" align="center"><italic>p</italic> &#x0003C; 0.001</td>
<td valign="top" align="center"><italic>p</italic> = 0.662</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Parity</bold></td>
</tr>
<tr>
<td valign="top" align="left">Nulliparous</td>
<td valign="top" align="center">27.94 (5.74)</td>
<td valign="top" align="center">7.35 (4.55)</td>
<td valign="top" align="center">29.99 (6.02)</td>
</tr>
<tr>
<td valign="top" align="left">Multiparous</td>
<td valign="top" align="center">26.69 (6.51)</td>
<td valign="top" align="center">8.92 (5.53)</td>
<td valign="top" align="center">28.49 (8.22)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.231</td>
<td valign="top" align="center"><italic>p</italic> = 0.038</td>
<td valign="top" align="center"><italic>p</italic> = 0.344</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Knowledge on COVID-19</bold></td>
</tr>
<tr>
<td valign="top" align="left">Inadequate</td>
<td valign="top" align="center">24.52 (8.50)</td>
<td valign="top" align="center">8.14 (5.40)</td>
<td valign="top" align="center">23.76 (9.70)</td>
</tr>
<tr>
<td valign="top" align="left">Adequate</td>
<td valign="top" align="center">27.02 (6.26)</td>
<td valign="top" align="center">8.69 (5.41)</td>
<td valign="top" align="center">29.00 (7.73)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.334</td>
<td valign="top" align="center"><italic>p</italic> = 0.549</td>
<td valign="top" align="center"><italic>p</italic> = 0.005</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Source of social support</bold></td>
</tr>
<tr>
<td valign="top" align="left">1&#x02013;2</td>
<td valign="top" align="center">26.50 (6.42)</td>
<td valign="top" align="center">8.72 (5.31)</td>
<td valign="top" align="center">28.23 (8.32)</td>
</tr>
<tr>
<td valign="top" align="left">3 or more</td>
<td valign="top" align="center">27.27 (6.37)</td>
<td valign="top" align="center">8.61 (5.50)</td>
<td valign="top" align="center">29.21 (7.51)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.251</td>
<td valign="top" align="center"><italic>p</italic> = 0.840</td>
<td valign="top" align="center"><italic>p</italic> = 0.186</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>SD, standard deviation; SWEMWBS, Short Warwick&#x02013;Edinburgh Mental Wellbeing; MCO, Movement Control Order</italic>.</p>
<fn id="TN1"><label>&#x0002A;</label><p><italic>Mann-Whitney test</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Associations between maternal characteristics and maternal wellbeing, MCO effect &#x00026; COVID-19 pregnancy-related anxiety.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Maternal characteristics</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Higher maternal wellbeing</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Negative MCO effect</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Greater COVID-19 anxiety</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold><italic>n</italic> (%)<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></bold></th>
<th valign="top" align="center"><bold>AOR (95%CI)</bold></th>
<th valign="top" align="center"><bold><italic>n</italic> (%)<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></bold></th>
<th valign="top" align="center"><bold>AOR (95%CI)</bold></th>
<th valign="top" align="center"><bold><italic>n</italic> (%)<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></bold></th>
<th valign="top" align="center"><bold>AOR (95%CI)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7"><bold>Age</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;35</td>
<td valign="top" align="center">174 (67.2)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">122 (47.1)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">236 (91.1)</td>
<td valign="top" align="center">1.86 (1.01&#x02013;3.43)</td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;35</td>
<td valign="top" align="center">113 (72.4)</td>
<td valign="top" align="center">1.40 (0.89&#x02013;2.20)</td>
<td valign="top" align="center">72(46.2)</td>
<td valign="top" align="center">0.92 (0.61&#x02013;1.37)</td>
<td valign="top" align="center">130 (83.3)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.262</td>
<td valign="top" align="center"><italic>p</italic> = 0.141</td>
<td valign="top" align="center"><italic>p</italic> = 0.851</td>
<td valign="top" align="center"><italic>p</italic> = 0.668</td>
<td valign="top" align="center"><italic>p</italic> = 0.017</td>
<td valign="top" align="center"><italic>p</italic> = 0.046</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Ethnicity</bold></td>
</tr>
<tr>
<td valign="top" align="left">Non-Malay</td>
<td valign="top" align="center">31 (50.0)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">35 (56.5)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">49 (79.0)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Malay</td>
<td valign="top" align="center">256 (72.5)</td>
<td valign="top" align="center">2.80 (1.61&#x02013;4.90)</td>
<td valign="top" align="center">159 (45.0)</td>
<td valign="top" align="center">0.61 (0.35&#x02013;1.06)</td>
<td valign="top" align="center">317 (89.8)</td>
<td valign="top" align="center">2.48 (1.21&#x02013;5.08)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> &#x0003C; 0.001</td>
<td valign="top" align="center"><italic>p</italic> &#x0003C; 0.001</td>
<td valign="top" align="center"><italic>p</italic> = 0.097</td>
<td valign="top" align="center"><italic>p</italic> = 0.080</td>
<td valign="top" align="center"><italic>p</italic> = 0.015</td>
<td valign="top" align="center"><italic>p</italic> = 0.013</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Education</bold></td>
</tr>
<tr>
<td valign="top" align="left">Non-tertiary</td>
<td valign="top" align="center">59 (61.5)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">35 (36.5)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">87 (90.6)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Tertiary</td>
<td valign="top" align="center">228 (71.5)</td>
<td valign="top" align="center">1.47 (0.90&#x02013;2.40)</td>
<td valign="top" align="center">159 (49.8)</td>
<td valign="top" align="center">1.87 (1.15&#x02013;3.01)</td>
<td valign="top" align="center">279 (87.5)</td>
<td valign="top" align="center">0.66 (0.30&#x02013;1.43)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.062</td>
<td valign="top" align="center"><italic>p</italic> = 0.126</td>
<td valign="top" align="center"><italic>p</italic> = 0.021</td>
<td valign="top" align="center"><italic>p</italic> = 0.011</td>
<td valign="top" align="center"><italic>p</italic> = 0.400</td>
<td valign="top" align="center"><italic>p</italic> = 0.290</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Employment</bold></td>
</tr>
<tr>
<td valign="top" align="left">Employed/self-employed</td>
<td valign="top" align="center">221 (68.6)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">152 (47.2)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">283 (87.9)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">66 (71.0)</td>
<td valign="top" align="center">1.26 (0.75&#x02013;2.13)</td>
<td valign="top" align="center">42 (45.2)</td>
<td valign="top" align="center">0.86 (0.54&#x02013;1.38)</td>
<td valign="top" align="center">83 (89.2)</td>
<td valign="top" align="center">1.25 (0.59&#x02013;2.67)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.668</td>
<td valign="top" align="center"><italic>p</italic> = 0.383</td>
<td valign="top" align="center"><italic>p</italic> = 0.728</td>
<td valign="top" align="center"><italic>p</italic> = 0.541</td>
<td valign="top" align="center"><italic>p</italic> = 0.721</td>
<td valign="top" align="center"><italic>p</italic> = 0.559</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Household income</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;RM 5,000</td>
<td valign="top" align="center">128 (63.1)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">77 (37.9)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">177 (87.2)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;RM 5,000</td>
<td valign="top" align="center">159 (75.0)</td>
<td valign="top" align="center">1.73 (1.12&#x02013;2.67)</td>
<td valign="top" align="center">117(55.2)</td>
<td valign="top" align="center">2.10 (1.41&#x02013;3.15)</td>
<td valign="top" align="center">189 (89.2)</td>
<td valign="top" align="center">1.35 (0.73&#x02013;2.50)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.008</td>
<td valign="top" align="center"><italic>p</italic> = 0.014</td>
<td valign="top" align="center"><italic>p</italic> &#x0003C; 0.001</td>
<td valign="top" align="center"><italic>p</italic> &#x0003C; 0.001</td>
<td valign="top" align="center"><italic>p</italic> = 0.536</td>
<td valign="top" align="center"><italic>p</italic> = 0.343</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Parity</bold></td>
</tr>
<tr>
<td valign="top" align="left">Nulliparous</td>
<td valign="top" align="center">50 (73.5)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">28 (41.2)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">65 (95.6)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Multiparous</td>
<td valign="top" align="center">237 (68.3)</td>
<td valign="top" align="center">0.67 (0.37&#x02013;1.23)</td>
<td valign="top" align="center">166 (47.8)</td>
<td valign="top" align="center">1.38 (0.81&#x02013;2.36)</td>
<td valign="top" align="center">301 (86.7)</td>
<td valign="top" align="center">0.30 (0.09&#x02013;1.01)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.393</td>
<td valign="top" align="center"><italic>p</italic> = 0.200</td>
<td valign="top" align="center"><italic>p</italic> = 0.314</td>
<td valign="top" align="center"><italic>p</italic> = 0.240</td>
<td valign="top" align="center"><italic>p</italic> = 0.039</td>
<td valign="top" align="center"><italic>p</italic> = 0.051</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Knowledge on COVID-19</bold></td>
</tr>
<tr>
<td valign="top" align="left">Inadequate</td>
<td valign="top" align="center">10 (47.6)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">10 (47.6)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">14 (66.7)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">Adequate</td>
<td valign="top" align="center">277 (70.3)</td>
<td valign="top" align="center">2.32 (0.94&#x02013;5.76)</td>
<td valign="top" align="center">184 (46.7)</td>
<td valign="top" align="center">1.05 (0.43&#x02013;2.57)</td>
<td valign="top" align="center">352 (89.3)</td>
<td valign="top" align="center">3.54 (1.29&#x02013;9.70)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.028</td>
<td valign="top" align="center"><italic>p</italic> = 0.069</td>
<td valign="top" align="center"><italic>p</italic> = 0.934</td>
<td valign="top" align="center"><italic>p</italic> = 0.908</td>
<td valign="top" align="center"><italic>p</italic> = 0.002</td>
<td valign="top" align="center"><italic>p</italic> = 0.014</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Source of social support</bold></td>
</tr>
<tr>
<td valign="top" align="left">1-2</td>
<td valign="top" align="center">132 (66.0)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">95 (47.5)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">173 (86.5)</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">3 or more</td>
<td valign="top" align="center">155 (72.1)</td>
<td valign="top" align="center">1.05 (0.67&#x02013;1.64)</td>
<td valign="top" align="center">99 (46.0)</td>
<td valign="top" align="center">1.06 (0.71&#x02013;1.58)</td>
<td valign="top" align="center">193 (89.8)</td>
<td valign="top" align="center">1.17 (0.61&#x02013;2.23)</td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><italic>p</italic> = 0.179</td>
<td valign="top" align="center"><italic>p</italic> = 0.834</td>
<td valign="top" align="center"><italic>p</italic> = 0.767</td>
<td valign="top" align="center"><italic>p</italic> = 0.790</td>
<td valign="top" align="center"><italic>p</italic> = 0.303</td>
<td valign="top" align="center"><italic>p</italic> = 0.644</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>AOR, adjusted odd ratio; CI, confidence interval; Ref, reference; MCO, movement Control Order; COVID-19, Corona Virus Disease 2019</italic>.</p>
<p><italic>AOR was adjusted for age, ethnicity, and parity</italic>.</p>
<fn id="TN2"><label>&#x0002A;</label><p><italic>Chi-square test</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Perception of the Effect of MCO on Self Wellbeing</title>
<p><xref ref-type="table" rid="T7">Table 7</xref> demonstrates the perceived effect of MCO on maternal wellbeing. Almost 30% of our women found that the MCO disrupts their daily lives. Around one-fifth of them reported that the lockdown had a negative effect on their physical and emotional wellbeing. Our study found a positive correlation between the MCO effect score and stress (<italic>p</italic> = 0.045); as shown in <xref ref-type="table" rid="T4">Table 4</xref>, whilst a greater MCO effect score is associated with a lesser maternal sense of wellbeing (<italic>p</italic> = 0.001).</p>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>Perceived effect of MCO on maternal wellbeing.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Negative effect of MCO</bold></th>
<th valign="top" align="center"><bold>Disagree</bold></th>
<th valign="top" align="center"><bold>Neutral</bold></th>
<th valign="top" align="left"><bold>Agree <italic>n</italic> (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Disruption to the daily routine</td>
<td valign="top" align="center">233 (56.1)</td>
<td valign="top" align="center">61 (17.4)</td>
<td valign="top" align="left">121 (29.2)</td>
</tr>
<tr>
<td valign="top" align="left">Negative effect on physical wellbeing</td>
<td valign="top" align="center">293 (70.6)</td>
<td valign="top" align="center">31 (7.5)</td>
<td valign="top" align="left">91 (21.9)</td>
</tr>
<tr>
<td valign="top" align="left">Negative effect on emotional wellbeing</td>
<td valign="top" align="center">298 (71.8)</td>
<td valign="top" align="center">32 (7.7)</td>
<td valign="top" align="left">85 (20.5)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>MCO, Movement Control Order</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>We found that women who were non-Malay, tertiary educated, those with greater household income, and multiparous displayed significantly higher scores (<xref ref-type="table" rid="T5">Table 5</xref>); suggesting the unfavorable effect of the lockdown. The mean (SD) score for the MCO effect was 8.66 (5.40). Women who scored 8 and above were considered to have experienced the negative effect of MCO. Multivariable logistic regression confirmed tertiary education and greater household income as positive predictors of the negative effect of MCO lockdown among our cohort (<xref ref-type="table" rid="T6">Table 6</xref>).</p>
</sec>
<sec>
<title>COVID-19 Pregnancy-Related Anxiety</title>
<p><xref ref-type="table" rid="T8">Table 8</xref> depicts the maternal response toward COVID-19 pregnancy-related worry. Over four-fifths of mothers worry about COVID-19 infection to themselves and their babies. Around 70% of our women had a concern about COVID-19 causing miscarriage, fetal abnormality, and preterm birth.</p>
<table-wrap position="float" id="T8">
<label>Table 8</label>
<caption><p>COVID-19 pregnancy-related anxiety.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Psychological effect</bold></th>
<th valign="top" align="center"><bold>Disagree</bold><break/> <bold><italic>n</italic> (%)</bold></th>
<th valign="top" align="center"><bold>Neutral</bold><break/> <bold><italic>n</italic> (%)</bold></th>
<th valign="top" align="center"><bold>Agree</bold><break/> <bold><italic>n</italic> (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4"><bold>COVID-19 infection</bold></td>
</tr>
<tr>
<td valign="top" align="left">Self</td>
<td valign="top" align="center">51 (12.3)</td>
<td valign="top" align="center">15 (3.6)</td>
<td valign="top" align="center">349 (84.1)</td>
</tr>
<tr>
<td valign="top" align="left">Unborn child/newborn</td>
<td valign="top" align="center">51 (12.3)</td>
<td valign="top" align="center">16 (3.9)</td>
<td valign="top" align="center">348 (83.9)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>COVID-19 effect on pregnancy</bold></td>
</tr>
<tr>
<td valign="top" align="left">Miscarriage</td>
<td valign="top" align="center">71 (17.1)</td>
<td valign="top" align="center">50 (12.0)</td>
<td valign="top" align="center">294 (70.8)</td>
</tr>
<tr>
<td valign="top" align="left">Abnormal baby</td>
<td valign="top" align="center">69 (16.6)</td>
<td valign="top" align="center">50 (12.0)</td>
<td valign="top" align="center">296 (71.3)</td>
</tr>
<tr>
<td valign="top" align="left">Preterm delivery</td>
<td valign="top" align="center">71 (17.1)</td>
<td valign="top" align="center">44 (10.6)</td>
<td valign="top" align="center">300 (72.3)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>COVID-19, Corona Virus Disease 2019</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>The Cronbach&#x00027;s alpha for this questionnaire was 0.928. The Kaiser-Meyer-Olkin (KMO) was 0.776, and Bartlett&#x00027;s Test of Sphericity reached statistical significance with <italic>p</italic> &#x0003C; 0.001, supporting the sample factorability. Exploratory factor analysis on the five items confirmed single factor loading. Mann-Whitney-<italic>U</italic>-test revealed that Malay ethnicity, non-tertiary education, and adequate knowledge on COVID-19 were associated with higher anxiety scores (<xref ref-type="table" rid="T5">Table 5</xref>).</p>
<p>By using a fifty-percent threshold; we found that 88.2% of our women demonstrated a greater level of maternal anxiety. Age below 35, Malay ethnicity, and adequate knowledge of COVID-19 were associated with a greater level of COVID-19 pregnancy-related anxiety (<xref ref-type="table" rid="T6">Table 6</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The COVID-19 outbreak and nationwide lockdown had a significant psychological impact on vulnerable groups such as pregnant women. We presented the first study which evaluated the effect of the global pandemic on maternal mental health among Malaysian women. Our results demonstrated that Malay women had a lesser odd of experiencing psychological distress and were more likely to report a greater sense of maternal wellbeing. Women of higher socioeconomic status reported a higher sense of maternal wellbeing; however, they were also more likely to experience the negative effect of the lockdown. We also found that there was a high level of COVID-19 pregnancy-related anxiety among our women especially among the young and Malay mothers; as well as those who had sufficient knowledge on COVID-19.</p>
<p>Various studies on maternal mental health during the global pandemic showed an uptrend in the symptoms of psychological distress. A recent systematic review by Suwalska et al. found that the prevalence of depression and anxiety among perinatal women were as high as 56.3 and 77%, respectively (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Current evidence also showed that the rate of psychological distress was positively correlated to the reported number of positive COVID-19 cases and related deaths (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B36">36</xref>). This could explain the relatively low prevalence of depression and anxiety among our women, as this study was conducted in the early part of the COVID-19 pandemic in Malaysia, during which the country had just over eight thousand confirmed cases with only one-hundred twenty mortalities.</p>
<p>The COVID-19 outbreak had inevitably changed the delivery of health services including obstetric care. Hospitals had to ensure adequate resources to fight the pandemic by canceling elective procedures and outpatient clinics. Alteration to antenatal appointments (<xref ref-type="bibr" rid="B12">12</xref>) as well as uncertainty and concerns about perinatal care (<xref ref-type="bibr" rid="B37">37</xref>) were among the contributory factors of maternal depressive and anxiety symptoms. The absence of a partner during childbirth was also associated with a higher level of maternal anxiety (<xref ref-type="bibr" rid="B38">38</xref>). Several studies including ours have demonstrated the role of social support in reducing the risk of depression and anxiety among expectant mothers (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). Social support is essential in buffering the effect of stress in pregnancy as well as promoting maternal physical and psychological wellbeing (<xref ref-type="bibr" rid="B41">41</xref>). Women with a greater number of social support in our study demonstrated higher wellbeing scores, although the finding was not statistically significant.</p>
<p>In keeping with the previous study, we found a significant negative correlation between the SWEMWBS score and all the components of DASS 21 (<xref ref-type="bibr" rid="B3">3</xref>). Malay women and those of higher economic status reported a greater sense of maternal wellbeing in this study. Berthelot et al. demonstrated that pregnant women with low income were more prone to elevated distress and psychiatric symptoms during the COVID-19 pandemic (<xref ref-type="bibr" rid="B13">13</xref>). A Study conducted among Japanese women also found an increased odd of postnatal depression among those from the lower-income group (OR, 1.43; 95% CI: 1.03&#x02013;1.98) (<xref ref-type="bibr" rid="B42">42</xref>). Although there was no significant difference in the psychological distress among women of different income brackets in our cohort, higher household income contributed to greater financial security to expectant mothers and resulted in an increased sense of wellbeing.</p>
<p>Nationwide lockdown had a significant socio-economic impact on the population. Closure of offices and business premises resulted in job losses and financial insecurity, whilst reduced family contact and restricted recreation activities would increase emotional stress.</p>
<p>Our study demonstrated that the lockdown has a negative effect on maternal wellbeing. We found that women with higher education and income level experienced a greater negative effect of MCO. These expectant mothers with higher economic status were more likely to have to work from home and found their social activities restricted during the lockdown. Multiparous mothers also demonstrated higher MCO effect scores compared to first-time mothers. Lack of childcare and online classes for school-going children might pose extra pressure on these mothers during the pandemic.</p>
<p>Over four-fifths of our women expressed worry about the risk of COVID-19 infection to themselves and their babies. Lebel et al. found that elevated symptoms of depression symptoms were associated with an increment in maternal concern on the COVID-19 threat to own life and potential harm to the baby (<xref ref-type="bibr" rid="B37">37</xref>). A study among pregnant individuals in Singapore during the early wave of the pandemic showed that women who associated COVID-19 infection with fetal anomalies and intrauterine fetal death had significantly higher anxiety scores (<xref ref-type="bibr" rid="B43">43</xref>). A study among Italian pregnant women during the COVID-19 national lockdown demonstrated that prenatal attachment negatively correlates with maternal state anxiety and depression. However, adequate and functional perception of COVID-19 could enhance prenatal attachment (<xref ref-type="bibr" rid="B44">44</xref>). The maternal-fetal emotional attachment is an important indicator of their health and the mother&#x00027;s efficiency in the postnatal period (<xref ref-type="bibr" rid="B45">45</xref>).</p>
<p>Currently, observational data have not suggested any link between COVID-19 and miscarriage, fetal anomaly, or spontaneous preterm births. Vertical transmission is plausible; however, the mechanisms are unclear and severe neonatal COVID-19 disease is fortunately rare (<xref ref-type="bibr" rid="B6">6</xref>). It is therefore important to fill the knowledge gap on the effect of COVID-19 on pregnancy by providing accurate and reliable information to expectant mothers. The younger and nulliparous women would benefit from extra support and reassurance as these groups exhibited a greater level of anxiety; in keeping with other studies (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>Our study evaluated the effect of adequate COVID-19 knowledge on maternal psychology during the pandemic. Liu et al. demonstrated that pregnant women with relatively more knowledge on COVID-19 and rational risk perception (not too nervous about epidemic control or going out) were less likely to be anxious (<xref ref-type="bibr" rid="B46">46</xref>). We found that individuals with adequate knowledge were more likely to report a greater sense of maternal wellbeing (OR 2.60, 95% CI 1.07&#x02013;6.30, <italic>p</italic> = 0.034), however, the relationship was not significant following adjustment for age, ethnicity, and parity. These women also reported a higher level of COVID-19 pregnancy-related anxiety; which can be explained by the lack of available data on the effect of COVID-19 on pregnancy during the early wave of the pandemic.</p>
<p>Women&#x00027;s cultural background, which is influenced by race and religion; often plays a role in maternal perception, practice, and attitude toward the COVID-19 pandemic. Our previous published findings demonstrated that Malay women demonstrated a more positive attitude toward the MCO (<xref ref-type="bibr" rid="B22">22</xref>). A study from our neighboring country Singapore showed that pregnant Malay women were more likely to practice safe distancing and frequent hand sanitizing compared to the Chinese (<xref ref-type="bibr" rid="B47">47</xref>). The Malay women in our cohort were less likely to suffer from psychological distress. They also reported a greater sense of maternal wellbeing and experienced lesser negative effects from the lockdown. Good underlying knowledge on COVID-19 as well as high confidence in authority and health professionals among these women may explain the current findings (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<sec>
<title>Strengths and Limitations</title>
<p>We presented the first Malaysian study that evaluated the psychological impact of COVID-19 on pregnant women during the first wave of the pandemic. The sample size was adequate to meet the statistical requirement and our newly designed COVID-19 pregnancy-related anxiety demonstrated good internal consistency and construct validity. Our study was among the few which assessed the influence of adequate knowledge of COVID-19 on maternal mental health. The validated Malay version of SWEMWBS is a valuable tool to evaluate the perception of wellbeing not only among pregnant women but also applicable to the general Malaysian population.</p>
<p>Our study is limited by its cross-sectional design. The data collection was conducted in the early part of the COVID-19 pandemic when there was little knowledge on the novel virus. This could explain the high level of COVID-19 pregnancy-related anxiety among our cohort. Unfortunately, the country is still under lockdown with an increased number of positive cases and deaths. Malaysia is suffering from the third wave of the pandemic and the health system is currently under strain from the exponential rise of severe cases (<xref ref-type="bibr" rid="B48">48</xref>). The prolonged social restriction will inevitably cause adverse effects on the population&#x00027;s mental health. A longitudinal study is therefore essential to assess the long-term impact of the pandemic and extended lockdown.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The COVID-19 pandemic and national lockdown had a negative impact on maternal mental health wellbeing. Social support offers protection against psychological distress, as previously demonstrated by other studies. Dissemination of accurate information on COVID-19 effect on pregnancy is essential to address the knowledge gap among expectant mothers and reduce pregnancy-related anxiety. Mental health screening is essential in prolonged pandemics and lockdown to identify vulnerable individuals, in the effort to safeguard maternal psychological wellbeing and promote healthy prenatal attachment during this testing time.</p>
</sec>
</sec>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Universiti Kebangsaan Malaysia Ethics Committee. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>AK, RA, and ZM: conceptualization. AK, SAS, and SS: methodology. AK and SS: formal analysis. AK and SAS: investigation. AK: writing&#x02014;original draft preparation and project administration. AK, RA, ZM, and SS: writing&#x02014;review and editing. RA: supervision. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s8">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
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