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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2021.792053</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Impact of Maternal Anxiety on Early Child Development During the COVID-19 Pandemic</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Jeli&#x0010D;i&#x00107;</surname> <given-names>Ljiljana</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1341840/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Sovilj</surname> <given-names>Mirjana</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1590494/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bogavac</surname> <given-names>Ivana</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1589750/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Drobnjak</surname> <given-names>And&#x00304;ela</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1589751/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gouni</surname> <given-names>Olga</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1589740/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Kazmierczak</surname> <given-names>Maria</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/982170/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Suboti&#x00107;</surname> <given-names>Mi&#x00161;ko</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1590738/overview"/>
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<aff id="aff1"><sup>1</sup><institution>Cognitive Neuroscience Department, Research and Development Institute &#x0201C;Life Activities Advancement Center,&#x0201D;</institution> <addr-line>Belgrade</addr-line>, <country>Serbia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Speech, Language and Hearing Sciences, Institute for Experimental Phonetics and Speech Pathology</institution>, <addr-line>Belgrade</addr-line>, <country>Serbia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Cosmoanelixis, Prenatal &#x00026; Life Sciences</institution>, <addr-line>Athens</addr-line>, <country>Greece</country></aff>
<aff id="aff4"><sup>4</sup><institution>Prenatal Sciences Research Institute</institution>, <addr-line>Athens</addr-line>, <country>Greece</country></aff>
<aff id="aff5"><sup>5</sup><institution>Institute of Psychology, University of Gdansk</institution>, <addr-line>Gdansk</addr-line>, <country>Poland</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Yvette Renee Harris, Miami University, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Emma Motrico, Loyola Andalusia University, Spain; Ma&#x00142;gorzata Lipowska, University of Gdansk, Poland</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Ljiljana Jeli&#x0010D;i&#x00107; <email>lj.jelicic&#x00040;add-for-life.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Psychopathology, a section of the journal Frontiers in Psychology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>792053</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>10</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>12</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Jeli&#x0010D;i&#x00107;, Sovilj, Bogavac, Drobnjak, Gouni, Kazmierczak and Suboti&#x00107;.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Jeli&#x0010D;i&#x00107;, Sovilj, Bogavac, Drobnjak, Gouni, Kazmierczak and Suboti&#x00107;</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> Maternal prenatal anxiety is among important public health issues as it may affect child development. However, there are not enough studies to examine the impact of a mother&#x00027;s anxiety on the child&#x00027;s early development, especially up to 1 year.</p>
<p><bold>Objective:</bold> The present prospective cohort study aimed to examine whether maternal trait anxiety, perceived social support, and COVID-19 related fear impacted speech-language, sensory-motor, and socio-emotional development in 12 months old Serbian infants during the COVID-19 pandemic.</p>
<p><bold>Methods:</bold> This follow-up study included 142 pregnant women (Time 1) and their children at 12 months (Time 2). Antenatal maternal anxiety and children&#x00027;s development were examined. Maternal anxiety was assessed using the State-Trait Anxiety Inventory (STAI). Child speech-language, sensory-motor, and socio-emotional development were assessed using the developmental scale in the form of an online questionnaire that examined the early psychophysiological child development. Information on socioeconomic factors, child and maternal demographics, clinical factors, and perceived fear of COVID-19 viral infection were collected. Multivariable General Linear Model analysis was conducted, adjusted for demographic, clinical, and coronavirus prenatal experiences, maternal prenatal anxiety levels, perceived social support, speech-language, motor skills, and cognitive and socio-emotional development at the infants&#x00027; age of 12 months.</p>
<p><bold>Results:</bold> The study revealed the influence of the COVID-19 pandemic on maternal trait anxiety. The association between selected independent factors and infants&#x00027; development was found in a demographically unified sample except for employment and the number of children. There was a correlation between all observed developmental functions. Univariate General Linear model statistical analysis indicated that linear models with selected independent factors and covariates could account for 30.9% (Cognition) up to 40.6% (Speech-language) of variability in developmental functions. It turned out that two-way and three-way interactions had a dominant role on models, and STAI-T Level and COVID-19 related fear were present in all interaction terms.</p>
<p><bold>Conclusion:</bold> Our findings reveal important determinants of child developmental outcomes and underline the impact of maternal anxiety on early child development. These findings lay the groundwork for the following interdisciplinary research on pregnancy and child development to facilitate and achieve positive developmental outcomes and maternal mental health.</p></abstract>
<kwd-group>
<kwd>perinatal mental health</kwd>
<kwd>maternal anxiety</kwd>
<kwd>infant development</kwd>
<kwd>social support</kwd>
<kwd>COVID-19 pandemic</kwd>
<kwd>COVID-19-related fear</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="116"/>
<page-count count="15"/>
<word-count count="12864"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>The conditions under which intrauterine development happens and the influences during childbirth and the postpartum period form the child&#x00027;s essential psychophysiological capacity. There is accumulating evidence about the importance of the first 1,000 days of life to a child&#x00027;s overall development (Black et al., <xref ref-type="bibr" rid="B15">2017</xref>). During prenatal and early child development brain adapts in response to a wide range of early experiences, which supports the rapid acquisition of language, cognitive skills, and socioemotional competencies (Luby, <xref ref-type="bibr" rid="B66">2015</xref>; Britto et al., <xref ref-type="bibr" rid="B17">2017</xref>).</p>
<p>The prenatal period is the sensitive period for child development, in which negative associations between prenatal exposure to maternal anxiety and outcomes are observed (Comaskey et al., <xref ref-type="bibr" rid="B25">2017</xref>). In this respect, perinatal maternal health may play an important role and influence the child&#x00027;s early development. A woman&#x00027;s mental health during pregnancy and the first year after birth refers to perinatal mental health. It includes mental health difficulties that occur before or during pregnancy and mental health problems that appear for the first time and can significantly increase during the perinatal period (Rees et al., <xref ref-type="bibr" rid="B86">2019</xref>). Findings in the literature point to maternal mental well-being as crucial for optimal infant health (Ryan et al., <xref ref-type="bibr" rid="B89">2017</xref>).</p>
<p>On the other hand, maternal mental health problems are considered a significant public health issue. Depression, anxiety, and high levels of perceived stress are the most common mental health problems during pregnancy (Hamid et al., <xref ref-type="bibr" rid="B44">2008</xref>; Martini et al., <xref ref-type="bibr" rid="B69">2015</xref>; Ryan et al., <xref ref-type="bibr" rid="B89">2017</xref>; Rees et al., <xref ref-type="bibr" rid="B86">2019</xref>).</p>
<p>Perinatal anxiety refers to anxiety experienced during the pregnancy and/or the first 12 months after birth. It may be significantly associated with postnatal anxiety (Grant et al., <xref ref-type="bibr" rid="B42">2008</xref>). According to previous epidemiological studies, the prevalence of women who experienced high anxiety during pregnancy ranges from 6.8 to 59.5% (Leach et al., <xref ref-type="bibr" rid="B59">2017</xref>). Research on the dynamics of the anxiety manifestation during pregnancy is inconsistent. While some authors reported a significant increase in anxiety during the last trimester of pregnancy (Gunning et al., <xref ref-type="bibr" rid="B43">2010</xref>), others pointed to stable pregnancy-specific anxiety across all three trimesters of pregnancy (Rothenberger et al., <xref ref-type="bibr" rid="B88">2011</xref>). In line with this, it is crucial to notice the difference between general anxiety and pregnancy-specific anxiety. These two entities are considered strictly interrelated, although the mechanisms of interrelation are not fully documented (Huizink et al., <xref ref-type="bibr" rid="B49">2014</xref>). While pregnancy anxiety refers to an emotional state that is mostly situationally or contextually conditioned, general anxiety&#x02014;trait anxiety, in particular, can be maintained and last in the period after pregnancy. In that way, general anxiety may continue to affect a mother&#x00027;s mental health and influence mother-child interaction (Huizink et al., <xref ref-type="bibr" rid="B49">2014</xref>).</p>
<p>The impact of pregnant woman&#x00027;s anxiety on early child development has been a focus of recent studies. More specifically, interest in studying the link between prenatal anxiety and early childhood development has increased in the past 20 years. Van den Bergh et al. (<xref ref-type="bibr" rid="B106">2005</xref>) supported a fetal programming hypothesis and pointed out that the development of the hypothalamo&#x02013;pituitary&#x02013;adrenal (HPA) axis, limbic system, and the prefrontal cortex may be affected by maternal prenatal stress and anxiety. It results in cortisol passing through the placenta, affecting the fetus and disturbing ongoing developmental processes. Studies examining the impact of maternal postnatal anxiety on child development have indicated possible findings within three domains: somatic, developmental, and psychological outcomes (Glasheen et al., <xref ref-type="bibr" rid="B41">2010</xref>). Similarly, studies examining the same outcomes about prenatal maternal anxiety suggest that maternal anxiety during pregnancy may also have long-lasting consequences on child development and behaviour (Dunkel Schetter and Tanner, <xref ref-type="bibr" rid="B34">2012</xref>; Huizink et al., <xref ref-type="bibr" rid="B49">2014</xref>). Research evidence indicates that high levels of maternal anxiety symptoms are associated with a wide range of adverse cognitive, behavioural, and neurophysiological offspring outcomes (O&#x00027;Connor et al., <xref ref-type="bibr" rid="B78">2014</xref>), as well as with temperamental and developmental problems (Hern&#x000E1;ndez-Mart&#x000ED;nez et al., <xref ref-type="bibr" rid="B46">2008</xref>). Infants of mothers with high trait anxiety have a predisposition to suboptimal nervous system development and may have an increased vulnerability for developing motor problems (Kikkert et al., <xref ref-type="bibr" rid="B54">2010</xref>). On the other hand, research data on the direct impact of perinatal maternal anxiety on children&#x00027;s emotional problems lacks cohesion and indicate that maternal prenatal anxiety has a slight adverse effect on child emotional outcomes (Rees et al., <xref ref-type="bibr" rid="B86">2019</xref>).</p>
<p>In addition, maternal anxiety in pregnancy is also associated with perceived social support (Sharif et al., <xref ref-type="bibr" rid="B93">2021</xref>). Similarly to maternal anxiety, a pregnant woman&#x00027;s lack of perceived support may negatively affect her mental well-being, fetus, and close family members (Aktan, <xref ref-type="bibr" rid="B2">2012</xref>). Social support plays a significant role in stressful life events and includes providing emotional, informational, and practical physical support (financial and material) during the time of need and within a person&#x00027;s social network (Dambi et al., <xref ref-type="bibr" rid="B29">2018</xref>; Sharif et al., <xref ref-type="bibr" rid="B93">2021</xref>). Research on social support during pregnancy has shown that it may be a strong predictor of a healthy pregnancy (Naveed et al., <xref ref-type="bibr" rid="B73">2018</xref>). Several studies on the population of pregnant women found that social support plays a significant role in maternal well-being, while perceived lack of social support leads to mental health problems (Aktan, <xref ref-type="bibr" rid="B2">2012</xref>; Denis et al., <xref ref-type="bibr" rid="B31">2015</xref>; Sharif et al., <xref ref-type="bibr" rid="B93">2021</xref>).</p>
<p>The mentioned aspects that may affect infant and child development need to be additionally considered to the coronavirus disease 2019 (COVID-19), which has grown into a global pandemic declared by the World Health Organization (WHO) on March 11, 2020 (Cucinotta and Vanelli, <xref ref-type="bibr" rid="B27">2020</xref>). COVID-19 was reported for the first time in Wuhan, China, in December 2019, with increasing global transmission (Api et al., <xref ref-type="bibr" rid="B6">2020</xref>). Data on the COVID-19 in the Republic of Serbia show that the first case of COVID-19 was reported on March 6, 2020, and soon after it, precisely on March 15, 2020, a state of emergency was declared in the whole country (Sta&#x00161;evi&#x00107;-Karli&#x0010D;i&#x00107; et al., <xref ref-type="bibr" rid="B98">2020</xref>). Psychological impacts of COVID-19 on pregnancy have already been explored in recent studies (Quinlivan and Lambregtse-van den Berg, <xref ref-type="bibr" rid="B84">2020</xref>; Usher et al., <xref ref-type="bibr" rid="B105">2020</xref>; Yan et al., <xref ref-type="bibr" rid="B112">2020</xref>; Motrico et al., <xref ref-type="bibr" rid="B71">2021</xref>). An accompanying phenomenon of the COVID-19 pandemic is the fear of COVID-19 viral infection, which can intensify the level of anxiety (Andrade et al., <xref ref-type="bibr" rid="B5">2020</xref>). Although the symptoms of anxiety manifested by individuals during the epidemic/pandemic may be similar to those expressed in other anxiety situations, it is noticed that there are specific forms of anxiety-related distress responses during viral outbreaks and the COVID-19 pandemic as well (Asmundson and Taylor, <xref ref-type="bibr" rid="B8">2020</xref>). Some major factors which contribute to specificity of pandemic anxiety are the fear of becoming infected and dying, socially disruptive behaviors, and adaptive behaviors (Asmundson and Taylor, <xref ref-type="bibr" rid="B8">2020</xref>; Bernardo et al., <xref ref-type="bibr" rid="B13">2020</xref>; Wang et al., <xref ref-type="bibr" rid="B108">2020</xref>). In other words, the increased risk of death (Aldridge et al., <xref ref-type="bibr" rid="B4">2020</xref>), additionally unemployment and economic losses (Coibion et al., <xref ref-type="bibr" rid="B23">2020</xref>), and numerous restrictions introduced by the countries&#x00027; governments around the world, lead to negative health consequences (Meyerowitz-Katz et al., <xref ref-type="bibr" rid="B70">2021</xref>), that include pandemic anxiety with its specifics as well (Bernardo et al., <xref ref-type="bibr" rid="B13">2020</xref>). Accordingly, a fair number of studies have been published indicating an increase in anxiety symptoms in pregnant women during the COVID-19 pandemic (Ayaz et al., <xref ref-type="bibr" rid="B9">2020</xref>; Corbett et al., <xref ref-type="bibr" rid="B26">2020</xref>; Duranku&#x0015F; and Aksu, <xref ref-type="bibr" rid="B35">2020</xref>; Kotabagi et al., <xref ref-type="bibr" rid="B57">2020</xref>; Lebel et al., <xref ref-type="bibr" rid="B60">2020</xref>; Moyer et al., <xref ref-type="bibr" rid="B72">2020</xref>; Saccone et al., <xref ref-type="bibr" rid="B91">2020</xref>; Wu et al., <xref ref-type="bibr" rid="B110">2020</xref>; Yue et al., <xref ref-type="bibr" rid="B113">2021</xref>). So far, there are studies, systematic reviews, and meta-analyses in which the prevalence of pregnant women with moderate to severe anxiety during the COVID-19 pandemic is given more precisely (Corbett et al., <xref ref-type="bibr" rid="B26">2020</xref>; Hessami et al., <xref ref-type="bibr" rid="B47">2020</xref>; Lebel et al., <xref ref-type="bibr" rid="B60">2020</xref>; Mappa et al., <xref ref-type="bibr" rid="B67">2020</xref>; Saccone et al., <xref ref-type="bibr" rid="B91">2020</xref>; Fan et al., <xref ref-type="bibr" rid="B38">2021</xref>; Sun et al., <xref ref-type="bibr" rid="B100">2021</xref>; Tomfohr-Madsen et al., <xref ref-type="bibr" rid="B104">2021</xref>). Accordingly, it ranges from: 23.4% found in Brazil (Nomura et al., <xref ref-type="bibr" rid="B75">2021</xref>); the 29% was determined during the initial stage of the COVID-19 pandemic in China (Wang et al., <xref ref-type="bibr" rid="B108">2020</xref>), while 25% was determined by meta-analysis (Ren et al., <xref ref-type="bibr" rid="B87">2020</xref>); the 38% was found in Poland (Nowacka et al., <xref ref-type="bibr" rid="B76">2021</xref>); the elevated level of the trait (38.2%) and state anxiety (77%) was found in Italy (Mappa et al., <xref ref-type="bibr" rid="B67">2020</xref>). Higher prevalence in the range from 53 to 72% was found in other countries (Corbett et al., <xref ref-type="bibr" rid="B26">2020</xref>; Dagklis et al., <xref ref-type="bibr" rid="B28">2020</xref>; Davenport et al., <xref ref-type="bibr" rid="B30">2020</xref>; Hessami et al., <xref ref-type="bibr" rid="B47">2020</xref>; Lebel et al., <xref ref-type="bibr" rid="B60">2020</xref>; Saccone et al., <xref ref-type="bibr" rid="B91">2020</xref>; Sut and Kucukkaya, <xref ref-type="bibr" rid="B101">2020</xref>). In contrast to these studies, a lower prevalence of anxiety among pregnant women (8.4% of whom had moderate anxiety and 5.2% of whom had severe anxiety) was determined in Belgium (Ceulemans et al., <xref ref-type="bibr" rid="B21">2020</xref>), while COVID-19 did not increase anxiety levels in Dutch pregnant women (Zilver et al., <xref ref-type="bibr" rid="B115">2021</xref>).</p>
<p>Generally, the analysis of the most recent systematic reviews and meta-analysis have shown that the prevalence of anxiety in pregnancy during COVID-19 ranges from 30.5 to 42%, the prevalence of depression ranges from 25 to 30%, and prevalence of both anxiety and depression was 18% (Fan et al., <xref ref-type="bibr" rid="B38">2021</xref>; Sun et al., <xref ref-type="bibr" rid="B100">2021</xref>; Tomfohr-Madsen et al., <xref ref-type="bibr" rid="B104">2021</xref>).</p>
<p>Pregnant women may be affected by various aspects of COVID-19 pandemic that can cause negative implications on both maternal well-being and child development, which imposes the need for longitudinal studies of the COVID-19 birth cohort (Quinlivan and Lambregtse-van den Berg, <xref ref-type="bibr" rid="B84">2020</xref>).</p>
<p>Given the clear need for longitudinal studies on the impact of maternal prenatal anxiety on early child development generally, and especially during the COVID-19 pandemic, the present prospective cohort study aimed to examine whether maternal trait anxiety, COVID-19 related fear and perceived social support were associated with speech-language, sensory-motor and socio-emotional development in 12 months old Serbian infants during COVID-19 pandemic. Demographic characteristics of mothers were also controlled in the analyses. Generally, it was hypothesized that maternal trait anxiety and COVID-19 related fear are prospectively and directly associated with infant development and may affect an infant speech-language, sensory-motor and socio-emotional development.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Study Design, Setting, and Participants</title>
<p>The present ongoing prospective cohort study is a part of a more extensive experimental study that examines maternal anxiety during pregnancy and its associated factors in the context of the COVID-19 pandemic in Serbia. This investigation examines the impact of maternal anxiety during pregnancy on early child development. Between April 2020 and December 2020, 900 pregnant women were included in the cohort. Expectant mothers were recruited consecutively, in the order in which they came for a regular examination during pregnancy on the Clinic for gynaecology and obstetrics &#x0201C;Narodni Front&#x0201D; in Belgrade. Women in the third trimester of pregnancy were asked to voluntarily fill out an anonymous self-administered questionnaire in a pleasant atmosphere in the waiting room during a time-optimal for them. The questionnaire contained socio-demographics, pregnancy-related background, maternal mental health, perceived social support, perceived COVID-19 related fear, and personal contact information related to an e-mail address and/or mobile phone. It is emphasized that personal contact information should be written if the pregnant woman agrees to provide data on her child development later in the longitudinal research. Of the total sample, 209 women did not complete the questionnaire, 187 women partially completed, while 145 women did not meet defined inclusion and exclusion criteria. The inclusion criteria for the study were: normal singleton pregnancy without complications of any kind; singleton pregnancies with the presence of hypertension, diabetes, or preterm delivery symptoms; spontaneous conception, delivering a phenotypically normal live birth, no pre-and perinatal risk factors. The exclusion criteria for the study were: failure to meet the inclusion criteria, infertility treatment; hospitalization; history of pre-eclampsia, eclampsia, autoimmune diseases, cancer, or any general chronic illnesses except hypertension or diabetes; psychiatric illnesses verified and/or treated before pregnancy; use of tranquilizers or sedatives, tobacco, alcoholic beverages, or any other type of psychoactive substances; non-acceptance of participation in the study. The final sample comprised 359 pregnant women in whom it was possible to examine the presence of anxiety during the COVID-19 pandemic in Serbia. All participants signed their written informed consent prior to the study, and confidentiality of the responses was assured.</p>
<p>The present study included a follow-up assessment of children aged 11.5 to 12.5 months whose mothers participated in a baseline assessment of maternal anxiety during the third trimester of pregnancy. Between May 2021 and September 2021, all mothers whose children aged 11.5 to 12.5 months were invited to participate in the study. Out of the sample of 359 pregnant women, 256 left personal contact information, while 221 of them met the criteria regarding the assessment of their children at the age of 1 year. In order to observe the possible influence of anxiety on early child development, we excluded mothers who had pregnancy complications. Thereby, the sample was reduced to 164 mothers who had normal singleton pregnancies without complications of any kind. Mothers were invited to complete an online questionnaire on their child&#x00027;s development by phone or e-mail. After collecting and analyzing the obtained data, the final analysis showed that 19 mothers did not complete, while three mothers partially completed the questionnaire related to child development. The final sample included <italic>n</italic> = of 142 mothers who completed the questionnaire related to child development (<xref ref-type="fig" rid="F1">Figure 1</xref>). By completing the questionnaire, the mothers gave their consent to participate in the study. The sample was uniform with regard to all demographic factors except employment and the number of children.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Definition of participation process by flow-chart.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-792053-g0001.tif"/>
</fig>
<p>The complete study protocol had been approved by the Ethics Committee of the Clinic for Gynecology and Obstetrics &#x0201C;Narodni Front&#x0201D; (Date: 26 March, 2020, No 27/20), in Belgrade, and by the Ethics Committee of the Institute for experimental phonetics and speech pathology (Date: 2 April, 2020, No 45/20), in Belgrade, which operates under the Ethical principles in medical research involving human subjects, established by the Declaration of Helsinki 2013.</p>
</sec>
<sec>
<title>Measures</title>
<p>A self-administered anonymous questionnaire included questions related to socio-demographics, pregnancy-related background, maternal anxiety, perceived social support and perceived COVID-19 related fear.</p>
<p><italic>Maternal trait anxiety</italic> was measured with the Spielberger State-Trait Anxiety Inventory (STAI), which is a frequently used measure for self-reported anxiety (Spielberger et al., <xref ref-type="bibr" rid="B96">1983</xref>). Spielberger questionnaire form Y was used in our study (Spielberger et al., <xref ref-type="bibr" rid="B97">2000</xref>). The STAI consists of two scales: state anxiety scale (STAI-S) and trait anxiety scale (STAI-T), each containing twenty items. STAI-S measures anxiety as a current state, while STAI-T measures anxiety as a personality trait, and it is considered to be more stable and more long-lasting (Easter et al., <xref ref-type="bibr" rid="B36">2015</xref>). Since STAI-S is relatively transient and variable over time (Floris et al., <xref ref-type="bibr" rid="B40">2017</xref>; Papadopoulou et al., <xref ref-type="bibr" rid="B80">2017</xref>), it was not possible to conduct measurements by applying it in short time intervals during the COVID-19 pandemic, which would enable obtaining a reliable mean value of the current state of anxiety during the first year of a child&#x00027;s life. Concerning that, we evaluated only the STAI &#x02013;T, as it measures relatively stable individual differences in propensity for anxiety (Julian, <xref ref-type="bibr" rid="B52">2011</xref>). Participants select responses on a four-point Likert scale, ranging from &#x0201C;almost never,&#x0201D; &#x0201C;sometimes,&#x0201D; &#x0201C;often,&#x0201D; and &#x0201C;almost always.&#x0201D; The total score ranges between 20 and 80, with higher scores indicating greater anxiety levels. Some authors use cut-off points to define two-level state and trait anxiety (low and medium/high) (&#x000D6;zpelit et al., <xref ref-type="bibr" rid="B79">2015</xref>; Mappa et al., <xref ref-type="bibr" rid="B67">2020</xref>, <xref ref-type="bibr" rid="B68">2021</xref>). We used three-level cut-off points for reasons described in the literature (Toma&#x00161;evi&#x00107;-Todorovic et al., <xref ref-type="bibr" rid="B103">2012</xref>; Candelori et al., <xref ref-type="bibr" rid="B20">2015</xref>). Accordingly, STAI-T scores were classified as &#x0201C;no or low anxiety&#x0201D; (20&#x02013;30), &#x0201C;moderate anxiety&#x0201D; (31&#x02013;44), and &#x0201C;high anxiety&#x0201D; (45&#x02013;80).</p>
<p><italic>Maternal perecption of social support</italic> was assessed with The Multidimensional Scale of Perceived Social Support (MSPSS) (Zimet et al., <xref ref-type="bibr" rid="B116">1988</xref>), the Serbian version of the scale (Peji&#x0010D;i&#x00107; et al., <xref ref-type="bibr" rid="B82">2018</xref>). MSPSS consists of twelve items divided into three subscales that measure the perception of social support from three sources: family, friends and significant others. Responses are rating on a seven-point Likert scale, ranging from 1 (&#x0201C;very strongly disagree&#x0201D;) to 7 (&#x0201C;very strongly agree&#x0201D;). The maximum score is 84 and indicates the highest degree of perceived social support. In the study, the total MSPSS score was used in the calculation and interpretation of the results.</p>
<p><italic>COVID-19-related fear</italic> was assessed using a single item question &#x0201C;Do you feel a fear of COVID-19 viral infection?&#x0201D; Participants select one of three responses: 1&#x02013;&#x0201C;I do not feel a fear of COVID-19 viral infection&#x0201D;; 2&#x02013;&#x0201C;Sometimes, not all the time I feel a fear of COVID-19 viral infection&#x0201D;; and 3-&#x0201D;I do feel a fear of COVID-19 viral infection.&#x0201D;</p>
<p><italic>Language, sensory-motor and socio-emotional development</italic> in 12 months old infants were assessed by The Scale for Evaluation of Psychophysiological Abilities of Children (Subota, <xref ref-type="bibr" rid="B99">2003</xref>; Rakonjac et al., <xref ref-type="bibr" rid="B85">2016</xref>; Vujovi&#x00107; et al., <xref ref-type="bibr" rid="B107">2019</xref>; Bogavac et al., <xref ref-type="bibr" rid="B16">2021</xref>). The Scale for Evaluation of Psychophysiological Abilities of Children (SEPAC) is created according to developmental norms of the child from birth to 7 years. It comprises subtests specific for different months up to the first year of life and different years of age to the seventh year of life. Each subtest consists of three subscales: Speech-language scale, Sensory-motor scale and Socio-emotional scale. The speech-language scale consists of questions through which receptive speech, expressive speech and non-verbal communication are assessed. The sensory-motor scale consists of questions through which motor skills and cognition are assessed. Finally, the socio-emotional scale consists of questions through which a child&#x00027;s experience and self-regulation (child&#x00027;s social behaviour, emotional behaviour, regulation of attention, and thoughts) are assessed. The child&#x00027;s achievements within each scale are assessed with three possible answers: answer &#x0201C;&#x0002B;&#x0201D; indicates that your baby is performing the specified activity; answer &#x0201C;&#x0002B;/&#x02013;&#x0201D; indicates that your baby sometimes or insufficiently performs an assessed activity, and answer &#x0201C;&#x02013;&#x0201D; indicates that your baby is not yet performing an assessed activity. For the scoring of the test, answers marked with &#x0201C;&#x0002B;&#x0201D;are scored with 2 points, answers &#x0201C;&#x0002B;/&#x02013;&#x0201D; with 1 point, and answers marked with &#x0201C;&#x02013;&#x0201D; are scored with 0 points. In our study, we used a subtest that assesses the psychophysiological abilities up to 12 months of age. It consists of 43 simple, straightforward questions related to the assessment of the following abilities and skills: receptive and expressive speech (13), sensory-motor skills (9), cognition (12), and socio-emotional skills (9). The maximal number of points on subtests is 26, 18, 24, and 18, respectively.</p>
</sec>
<sec>
<title>Statistical Analyses</title>
<p>Only women who completed the two questionnaires were included in the analyses. Descriptive statistics were used to determine central tendencies and distributions of variables. To determine the existence of relationships between variables, we conducted a bivariate correlation analysis. To investigate the effects of individual factors on the variables of interest and interactions between factors, we conducted Univariate General Linear Model Analysis. To perform hypothesis testing, a priori contrasts were applied and, depending on results <italic>post-hoc</italic> test. Statistical Package for the Social Sciences version 22.0 was used.</p>
<p>Before any statistical test, appropriate assumptions were checked. For STAI-T and MSPSS, we defined the new variables STAI-T level and MSPSS level, dividing the main variables into three groups. For STAI-T level, range limits are: if STAI-T is &#x02264;30 Level is Low (1), if STAI-T is between 31 and 45 Level is Intermediate (2) and for values &#x0003E;45 Level is High (3). For MSPSS level range limits are: Low (1) &#x0003C;35; Medium (2) between 36 and 60; High (3) &#x0003E;61.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Sample Characteristics</title>
<p>The final sample consisted of 142 mothers with a mean age of 29.56 years (SD = 4.88). The majority of participants (<italic>n</italic> = 88, 61.97%) had Bachelor&#x00027;s degree or higher, while 63.38% (<italic>n</italic> = 90) of them were employed. There were 50.70% (<italic>n</italic> = 72) mothers having one child and 49.30% (<italic>n</italic> = 70) having two or more children. Almost half of the participants (<italic>n</italic> = 64, 45.07%) reported having a COVID-19-related fear, 39.44% (<italic>n</italic> = 56) reported having no COVID-19 related fear, while 15.49% (<italic>n</italic> = 22) reported that they sometimes have a COVID-19 fear. Half of the participants (50.70%, <italic>n</italic> = 72) had an intermediate level of anxiety, while 49.30% (<italic>n</italic> = 70) had a high level of anxiety measured on STAI-T. The vast majority of participants (81.69%, <italic>n</italic> = 116) had an intermediate level of anxiety, while 18.31% (<italic>n</italic> = 26) had a high level of anxiety measured on STAI-S. All participants reported a high level of perceived social support. Baseline sample characteristics are shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Sample Description (<italic>N</italic> = 142).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Sample characteristics</bold></th>
<th valign="top" align="center"><bold>Mothers (<italic>N</italic> &#x0003D; 142) Mean (SD) or (%)</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Maternal age (years<bold>)</bold></td>
<td valign="top" align="center">29.56</td>
<td valign="top" align="center">(4.88)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Years of school education</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;12 years</td>
<td valign="top" align="center">88</td>
<td valign="top" align="center">(61.97)</td>
</tr>
<tr>
<td valign="top" align="left">12 or more years</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">(38.03)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Employment status</bold></td>
</tr>
<tr>
<td valign="top" align="left">Employed</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">(63.38)</td>
</tr>
<tr>
<td valign="top" align="left">unemployed</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">(36.62)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Number of children</bold></td>
</tr>
<tr>
<td valign="top" align="left">One child</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">(50.70)</td>
</tr>
<tr>
<td valign="top" align="left">Two or more children</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">(49.30)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>COVID-19-related fear</bold></td>
</tr>
<tr>
<td valign="top" align="left">Having a COVID-19-related fear</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">(45.07)</td>
</tr>
<tr>
<td valign="top" align="left">Having no COVID-19 related fear</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">(39.44)</td>
</tr>
<tr>
<td valign="top" align="left">Sometimes have a COVID-19 fear</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">(15.49)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>STAI-T</bold></td>
</tr>
<tr>
<td valign="top" align="left">Low anxiety level</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate anxiety level</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">(50.70)</td>
</tr>
<tr>
<td valign="top" align="left">High anxiety level</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">(49.30)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>STAI-S</bold></td>
</tr>
<tr>
<td valign="top" align="left">Low anxiety level</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Intermediate anxiety level</td>
<td valign="top" align="center">116</td>
<td valign="top" align="center">(81.69)</td>
</tr>
<tr>
<td valign="top" align="left">High anxiety level</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">(18.31)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>MSPSS</bold></td>
</tr>
<tr>
<td valign="top" align="left">Low perceived support</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Medium perceived support</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">High perceived support</td>
<td valign="top" align="center">142</td>
<td valign="top" align="center">(100)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The average STAI-T score was 44.59 &#x000B1; 4.61. As previously mentioned (<xref ref-type="table" rid="T1">Table 1</xref>), no participants had scores corresponding to low anxiety levels. When observing the findings of social support, it is noticed that the average MSPSS score was 76.70 &#x000B1; 7.14. Results related to infant&#x00027;s achievement included the estimation of speech-language development, sensory-motor development in which the development of motor skills and cognition was observed as two separate variables, and socio-emotional development. The average speech-language score was 20.27, which is 77.9% of maximal achievement score; the average motor skills score was 13.33, which is 74.06% of maximal achievement score; the average cognition score was 18.99, which is 79.12% of maximal achievement score, and the average socio-emotional score was 14.22 which is 79% of maximal achievement score (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Descriptive statistics on maternal anxiety, perceived social support, and infants&#x00027; achievement.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>Min</bold>.</th>
<th valign="top" align="center"><bold>Max</bold>.</th>
<th valign="top" align="center"><bold>Mean</bold></th>
<th valign="top" align="center"><bold>SE</bold></th>
<th valign="top" align="center"><bold>SD</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Maternal age</td>
<td valign="top" align="center">19.00</td>
<td valign="top" align="center">39.00</td>
<td valign="top" align="center">29.56</td>
<td valign="top" align="center">0.409</td>
<td valign="top" align="center">4.88</td>
</tr>
<tr>
<td valign="top" align="left">STAI-T</td>
<td valign="top" align="center">31.00</td>
<td valign="top" align="center">55.00</td>
<td valign="top" align="center">44.59</td>
<td valign="top" align="center">0.387</td>
<td valign="top" align="center">4.614</td>
</tr>
<tr>
<td valign="top" align="left">MSPSS</td>
<td valign="top" align="center">62.00</td>
<td valign="top" align="center">84.00</td>
<td valign="top" align="center">76.70</td>
<td valign="top" align="center">0.599</td>
<td valign="top" align="center">7.137</td>
</tr>
<tr>
<td valign="top" align="left">Speech-language development</td>
<td valign="top" align="center">12.00</td>
<td valign="top" align="center">26.00</td>
<td valign="top" align="center">20.27</td>
<td valign="top" align="center">0.302</td>
<td valign="top" align="center">3.602</td>
</tr>
<tr>
<td valign="top" align="left">Motor skills</td>
<td valign="top" align="center">4.00</td>
<td valign="top" align="center">18.00</td>
<td valign="top" align="center">13.33</td>
<td valign="top" align="center">0.296</td>
<td valign="top" align="center">3.524</td>
</tr>
<tr>
<td valign="top" align="left">Cognition</td>
<td valign="top" align="center">11.00</td>
<td valign="top" align="center">24.00</td>
<td valign="top" align="center">18.99</td>
<td valign="top" align="center">0.304</td>
<td valign="top" align="center">3.619</td>
</tr>
<tr>
<td valign="top" align="left">Socio-emotional development</td>
<td valign="top" align="center">7.00</td>
<td valign="top" align="center">18.00</td>
<td valign="top" align="center">14.22</td>
<td valign="top" align="center">0.246</td>
<td valign="top" align="center">2.930</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>One-Way Anova</title>
<p>Comparing mean values for STAI-T and MSPSS related to fear of getting COVID-19 (<xref ref-type="table" rid="T3">Table 3</xref>) shows that mean values are not equal.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Descriptive statistics for STAI-T and MSPSS related to COVID-19 related fear.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>COVID-19 related fear</bold></th>
<th valign="top" align="center"><bold><italic>N</italic></bold></th>
<th valign="top" align="center"><bold>Mean</bold></th>
<th valign="top" align="center"><bold>SD</bold></th>
<th valign="top" align="center"><bold>SE</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">STAI-T</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">43.53</td>
<td valign="top" align="center">4.75</td>
<td valign="top" align="center">0.594</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Sometimes</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">45.46</td>
<td valign="top" align="center">3.95</td>
<td valign="top" align="center">0.528</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">45.45</td>
<td valign="top" align="center">5.30</td>
<td valign="top" align="center">1.129</td>
</tr>
<tr>
<td valign="top" align="left">MSPSS</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">73.84</td>
<td valign="top" align="center">7.77</td>
<td valign="top" align="center">0.972</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Sometimes</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">79.11</td>
<td valign="top" align="center">5.13</td>
<td valign="top" align="center">0.6868</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">78.91</td>
<td valign="top" align="center">6.80</td>
<td valign="top" align="center">1.449</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>One-Way ANOVA statistical test was used to check the impact of COVID-19 related fear on STAI-T and MSPSS. For STAI-T, homogeneity of variance is not violated, and <italic>post-hoc</italic> test with Tukey-Kramer correction for multiple comparisons (uneven sample size) was used. The MSPSS Games-Howell method was used because of its robustness when homogeneity of variance is violated, and the sample size is unequal.</p>
<p>There was statistically significant difference for STAI-T <italic>F</italic><sub>(2,139)</sub> = 3.171, <italic>p</italic> = 0.045. <italic>Post-hoc</italic> test revealed that there was no statistically significant difference between groups.</p>
<p>It was found that there is a statistically significant difference for MSPSS between the observed groups <italic>F</italic><sub>(2,139)</sub> = 10,646, <italic>p</italic> &#x0003C; 0.001. <italic>Post-hoc</italic> test showed statistically significant difference between groups 1 and 2 (<italic>p</italic> = 0.016), 1 and 3 (<italic>p</italic> &#x0003C; 0.001) and that there was no statistically significant difference between groups 2 and 3 (<italic>p</italic> = 0.992).</p>
<p>Mothers who reported no COVID-19 related fear have lower perceived social support (mean value 73.8) than mothers in the other two groups (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
</sec>
<sec>
<title>Correlations</title>
<p>Bivariate correlation analysis revealed a statistically significant correlation between Speech-language and Motor skills, Cognition and Socio-emotional status (<xref ref-type="table" rid="T4">Table 4</xref>). The highest correlation is between Speech-language and Socio-emotional status [r<sub>(140)</sub> = 0.744, <italic>p</italic> &#x0003C; 0.001]. Also, there is a low but statistically significant correlation between the child&#x00027;s socio-emotional status and maternal trait anxiety r<sub>(140)</sub> = 0.184, <italic>p</italic> = 0.028.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Pearson correlation between variables of interest.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th/>
<th valign="top" align="center"><bold>Speech-language</bold></th>
<th valign="top" align="center"><bold>Motor skills</bold></th>
<th valign="top" align="center"><bold>Cognition</bold></th>
<th valign="top" align="center"><bold>Socio-Emotional status</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Speech-Language</td>
<td valign="top" align="left">Pearson corr.</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center" style="background-color:#b2b3b6">0.273<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center" style="background-color:#b2b3b6">0.544<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center" style="background-color:#b2b3b6">0.744<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Sig. (2-tailed)</td>
<td/>
<td valign="top" align="center" style="background-color:#b2b3b6">0.001</td>
<td valign="top" align="center" style="background-color:#b2b3b6">0.000</td>
<td valign="top" align="center" style="background-color:#b2b3b6">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Motor skills</td>
<td valign="top" align="left">Pearson corr.</td>
<td valign="top" align="center">0.273<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1</td>
<td valign="top" align="center" style="background-color:#b2b3b6">0.379<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center" style="background-color:#b2b3b6">0.276<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Sig. (2-tailed)</td>
<td valign="top" align="center">0.001</td>
<td/>
<td valign="top" align="center" style="background-color:#b2b3b6">0.000</td>
<td valign="top" align="center" style="background-color:#b2b3b6">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Cognition</td>
<td valign="top" align="left">Pearson corr.</td>
<td valign="top" align="center">0.544<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.379<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1</td>
<td valign="top" align="center" style="background-color:#b2b3b6">0.698<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Sig. (2-tailed)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.000</td>
<td/>
<td valign="top" align="center" style="background-color:#b2b3b6">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Socio-Emotional status</td>
<td valign="top" align="left">Pearson corr.</td>
<td valign="top" align="center">0.744<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.276<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.698<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Sig. (2-tailed)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.000</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Maternal age</td>
<td valign="top" align="left">Pearson correlation</td>
<td valign="top" align="center">&#x02212;0.007</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="center">&#x02212;0.035</td>
<td valign="top" align="center">&#x02212;0.079</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Sig. (2&#x02013;tailed)</td>
<td valign="top" align="center">0.938</td>
<td valign="top" align="center">0.590</td>
<td valign="top" align="center">0.682</td>
<td valign="top" align="center">0.353</td>
</tr>
<tr>
<td valign="top" align="left">STAI-T</td>
<td valign="top" align="left">Pearson correlation</td>
<td valign="top" align="center">0.163</td>
<td valign="top" align="center">&#x02212;0.108</td>
<td valign="top" align="center">0.159</td>
<td valign="top" align="center" style="background-color:#b2b3b6">0.184<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Sig. (2-tailed)</td>
<td valign="top" align="center">0.052</td>
<td valign="top" align="center">0.203</td>
<td valign="top" align="center">0.059</td>
<td valign="top" align="center" style="background-color:#b2b3b6">0.028</td>
</tr>
<tr>
<td valign="top" align="left">MSPSS</td>
<td valign="top" align="left">Pearson correlation</td>
<td valign="top" align="center">0.122</td>
<td valign="top" align="center">0.150</td>
<td valign="top" align="center">0.091</td>
<td valign="top" align="center">0.019</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Sig. (2-tailed)</td>
<td valign="top" align="center">0.149</td>
<td valign="top" align="center">0.075</td>
<td valign="top" align="center">0.283</td>
<td valign="top" align="center">0.825</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Significant correlations are marked in grey</italic>.</p>
<fn id="TN1">
<label>&#x0002A;</label>
<p><italic>significance at the level p &#x0003C; .05</italic>.</p></fn> 
<fn id="TN2">
<label>&#x0002A;&#x0002A;</label>
<p><italic>significance at the level p &#x02264; . 001</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The association between factors and developmental abilities (<xref ref-type="table" rid="T5">Table 5</xref>) ranges between weak and medium. If the mean value of eta for all developmental functions is observed to assess the association of individual factors and the child&#x00027;s overall development, then that association is at the level of medium association for STAI-T and weak for the other three factors.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Level of association between development abilities and factors.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Developmental function</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="4"><bold>Level of association</bold> <bold>&#x003B7;</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>STAI-T level</bold></th>
<th valign="top" align="center"><bold>COVID fear</bold></th>
<th valign="top" align="center"><bold>Number of children</bold></th>
<th valign="top" align="center"><bold>Employment</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Communication</td>
<td valign="top" align="center">0.405</td>
<td valign="top" align="center">0.475</td>
<td valign="top" align="center">0.371</td>
<td valign="top" align="center">0.432</td>
</tr>
<tr>
<td valign="top" align="left">Motor skills</td>
<td valign="top" align="center">0.449</td>
<td valign="top" align="center">0.277</td>
<td valign="top" align="center">0.331</td>
<td valign="top" align="center">0.449</td>
</tr>
<tr>
<td valign="top" align="left">Cognition</td>
<td valign="top" align="center">0.515</td>
<td valign="top" align="center">0.313</td>
<td valign="top" align="center">0.353</td>
<td valign="top" align="center">0.266</td>
</tr>
<tr>
<td valign="top" align="left">Socio emotional</td>
<td valign="top" align="center">0.254</td>
<td valign="top" align="center">0.378</td>
<td valign="top" align="center">0.415</td>
<td valign="top" align="center">0.363</td>
</tr>
<tr>
<td valign="top" align="left">Mean value</td>
<td valign="top" align="center">0.40575</td>
<td valign="top" align="center">0.36075</td>
<td valign="top" align="center">0.3675</td>
<td valign="top" align="center">0.3775</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Multifactor Analysis</title>
<p>It was not possible to model the relationship between children developmental abilities (Speech-language, Motor skills, Cognition and Socio-emotional status) and STAI-T, MSPSS, COVID-19 related fear, employment, maternal age and number of children that mother has, with multivariate GLM because Box&#x00027;s Test revealed that Equality of Covariance Matrices across groups is violated. Box&#x00027;s M = 359.32, <italic>F</italic><sub>(100,5,441.018)</sub> = 2.833, <italic>p</italic> &#x0003C; 0.001. Levene&#x00027;s Test of Equality of Error Variances revealed that the assumption of equality is not violated, so we conducted separate univariate GLM tests where dependent variables were Speech-language, Motor skills, Cognition and Socio-emotional status with factors: employment, number of children, COVID-19 related fear, and STAI-T level. Mother age and MSPSS were included in the model as covariates.</p>
<p>To determine if there was statistically significant difference between mean values of groups within interaction terms, new grouping variables were composed for each interaction term (<xref ref-type="supplementary-material" rid="SM1">Appendix A</xref>). One&#x02013;way ANOVA for dependent variables was conducted. Only interaction terms of dependent variables with Observed Power &#x0003E;0.8 were considered.</p>
<sec>
<title>Results of Speech-Language Achievement</title>
<p>Univariate GLM analysis for dependent variable SPEECH-LANGUAGE achievement revealed that full linear model (<xref ref-type="supplementary-material" rid="SM2">Appendix B</xref>) could explain 40.6% of variability <italic>F</italic><sub>(21,120)</sub> = 3.902, <italic>p</italic> &#x0003C; 0.001, &#x003B7;p<sup>2</sup> = 0.406 and Observed Power = 1. Maternal age and Employment as a main effects have statistically significant impact on the model. Impact of the Employment can&#x00027;t be analyzed separately because of its interaction with COVID-19 related fear and STAI-T level. The biggest contribution to model has interaction term Number of children <sup>&#x0002A;</sup> COVID-19 related fear <sup>&#x0002A;</sup> STAI-T level (Partial eta squared = 0.182).</p>
<p>One-way ANOVA revealed that there was no statistically significant difference between groups of interaction terms Employment <sup>&#x0002A;</sup> COVID-19 related fear [<italic>F</italic><sub>(5,136)</sub> = 2.034, <italic>p</italic> = 0.078] and Employment <sup>&#x0002A;</sup> STAI-T level [<italic>F</italic><sub>(3,138)</sub> = 2.199, <italic>p</italic> = 0.091] but for interaction term Number of children <sup>&#x0002A;</sup> COVID-19 related fear <sup>&#x0002A;</sup> STAI-T level, there is statistically significant difference between groups <italic>F</italic><sub>(11,130)</sub> = 2.839, <italic>p</italic> = 0.002. <italic>Post-hoc</italic> test with Tukey-Kramer correction was used. It turns out that group of children whose mothers have one child, sometimes fearing getting COVID-19 infection and intermediate level of STAI-T (group 2) have the highest level of speech-language achievement (mean value = 22.67). There is statistically significant difference between this group and group 4 (p2&#x02013;4 = 0.006). On the other hand, children groups 3, 4, and 12 have minimal speech-language achievements (17.50, 17.56, 17.50, respectively), but there were no statistically significant differences between group mean values except mentioned between groups 2 and 4. Explanation of membership to the variable group is given in Table c in <xref ref-type="supplementary-material" rid="SM1">Appendix A</xref>.</p>
<p>In <xref ref-type="fig" rid="F2">Figure 2</xref>, the plot of estimated marginal means of dependent variable Speech-language for statistically significant interactions is presented as an example of interaction terms in all four univariate GLM models.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Plot of estimated marginal means of dependent variable speech-language for interactions <bold>(A)</bold> Employed &#x0002A; COVID-19 related fear, <bold>(B)</bold> Employed &#x0002A; STAI-T level, <bold>(C)</bold> Number of children &#x0002A; COVID-19 related fear &#x0002A; STAI-T level where STAI-T level = 2, and <bold>(D)</bold> Number of children &#x0002A; COVID-19 related fear &#x0002A; STAI-T level where STAI-T level = 3. Covariates appearing in the model are evaluated at the following values: Maternal age = 29.5634, MSPSS = 76.7042.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyg-12-792053-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Results of Motor Skills Achievement</title>
<p>Univariate GLM analysis for dependent variable MOTOR skills achievement revealed that the full linear model (<xref ref-type="supplementary-material" rid="SM2">Appendix B</xref>) could explain 34.7% of variability <italic>F</italic><sub>(21,120)</sub> = 3.031, <italic>p</italic> &#x0003C; 0.001, &#x003B7;p<sup>2</sup> = 0.347 and Observed Power = 0.999. One-way ANOVA for interaction term Employed <sup>&#x0002A;</sup> COVID-19 related fear <sup>&#x0002A;</sup> STAI-T level revealed statistically significant difference between groups <italic>F</italic><sub>(11,130)</sub> = 2.206, <italic>p</italic> = 0.018. It turns out that children from group 6 had the highest (mean value = 16.00), and children group 11 had the lowest level (mean value 11.42) of Motor skills achievement. <italic>Post-hoc</italic> test with Tukey-Kramer correction revealed that there was no statistically significant difference between particular groups. Explanation of membership to the variable group is given in Table d in <xref ref-type="supplementary-material" rid="SM1">Appendix A</xref>.</p>
<p>Univariate GLM analysis for dependent variable COGNITION achievement revealed that full linear model (<xref ref-type="supplementary-material" rid="SM2">Appendix B</xref>) could explain 30.9% of variability <italic>F</italic><sub>(21,120)</sub> = 2.555, <italic>p</italic> = 0.001, &#x003B7;p<sup>2</sup> = 0.309 and Observed Power = 0.997.</p>
<p>One-way ANOVA revealed a statistically significant difference between groups of interaction term Employed <sup>&#x0002A;</sup> COVID-19 related fear [<italic>F</italic><sub>(5,136)</sub> = 2.825, <italic>p</italic> = 0.017]. <italic>Post-hoc</italic> test with Tukey-Kramer correction was used. It turns out that group 5 has the highest level of cognitive achievement (mean value = 21.5). There is statistically significant difference between this group and groups 3 and 4 (p5&#x02013;3 = 0.016, p5&#x02013;4 = 0.021). On the other hand, children group 3 has minimal Cognitive achievement (mean value = 17.44), but there was no statistically significant difference between group mean values except mentioned between groups 3 and 5. Explanation of membership to the variable group is given in Table a in <xref ref-type="supplementary-material" rid="SM1">Appendix A</xref>.</p>
<p>For interaction term Number of children <sup>&#x0002A;</sup> COVID-19 related fear <sup>&#x0002A;</sup> STAI-T level, we obtained statistically significant difference between groups <italic>F</italic><sub>(11,130)</sub> = 2.266, <italic>p</italic> = 0.015. It turns out that children group 10 had the highest (mean value = 20.625), and children group 12 had the lowest level (mean value 15.25) of Cognition achievement. <italic>Post-hoc</italic> test with Tukey-Kramer correction revealed that there is statistically significant difference between groups 10 and 4. Children group 4 had a mean value of cognition achievement of 16.190. This finding is a bit specific, but in that group were 16 samples while in group 12 were only 4. Explanation of membership to the variable group is given in Table c in <xref ref-type="supplementary-material" rid="SM1">Appendix A</xref>.</p>
</sec>
<sec>
<title>Results of Socio-Emotional Achievement</title>
<p>Univariate GLM analysis for dependent variable SOCIO-EMOTIONAL achievement revealed that the full linear model (<xref ref-type="supplementary-material" rid="SM2">Appendix B</xref>) could explain 39.1% of variability <italic>F</italic><sub>(21,120)</sub> = 3.673, <italic>p</italic> &#x0003C; 0.001, &#x003B7;p<sup>2</sup> = 0.391 and Observed Power = 0.999.</p>
<p>One-way ANOVA revealed a statistically significant difference between groups of interaction term Employed <sup>&#x0002A;</sup> STAI-T level [<italic>F</italic><sub>(3,138)</sub> = 3.309, <italic>p</italic> = 0.022]. <italic>Post-hoc</italic> test with Tukey-Kramer correction was used. It turns out that group 4 has the highest level of Socio-emotional achievement (mean value = 15.54). There is statistically significant difference between this group and group 1 (p4&#x02013;1 = 0.011). On the other hand, children group 1 has minimal Socio-emotional achievement (mean value = 13.40), but there was no statistically significant difference between group mean values except mentioned between groups 1 and 4. Explanation of membership to the variable group is given in Table b in <xref ref-type="supplementary-material" rid="SM1">Appendix A</xref>.</p>
<p>For interaction term Number of children <sup>&#x0002A;</sup> COVID-19 related fear <sup>&#x0002A;</sup> STAI-T level, there was no statistically significant difference between groups <italic>F</italic><sub>(11,130)</sub> = 1.811, <italic>p</italic> = 0.058. It turns out that children group 2 had the highest (mean value = 16.0), and children group 3 had the lowest level (mean value 12.33) of Socio-emotional achievement. Explanation of membership to the variable group is given in Table c in <xref ref-type="supplementary-material" rid="SM1">Appendix A</xref>.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The present prospective cohort study examined whether maternal trait anxiety was associated with speech-language, sensory-motor and socio-emotional development in 12 months old Serbian infants during COVID-19 pandemic. Prenatal maternal anxiety may represent a relevant risk factor that interferes in various ways with child development. There is already quite a bit of evidence on the consequences that prenatal maternal anxiety may produce on the psychophysiological child development (Dunkel Schetter and Tanner, <xref ref-type="bibr" rid="B34">2012</xref>; Huizink et al., <xref ref-type="bibr" rid="B49">2014</xref>; O&#x00027;Connor et al., <xref ref-type="bibr" rid="B78">2014</xref>; Rees et al., <xref ref-type="bibr" rid="B86">2019</xref>), while the interest in this topic has increased significantly in the past 20 years. The impact of maternal prenatal anxiety on child development needs to be additionally considered to the COVID-19 pandemic, which impacts on pregnancy and maternal mental health have also been studied in the past 2 years (Quinlivan and Lambregtse-van den Berg, <xref ref-type="bibr" rid="B84">2020</xref>; Usher et al., <xref ref-type="bibr" rid="B105">2020</xref>; Yan et al., <xref ref-type="bibr" rid="B112">2020</xref>; Motrico et al., <xref ref-type="bibr" rid="B71">2021</xref>). On the other hand, there are scarce data about longitudinal trajectories of maternal prenatal anxiety on early child development during the COVID-19 pandemic (Bari&#x00161;i&#x00107;, <xref ref-type="bibr" rid="B10">2020</xref>; Quinlivan and Lambregtse-van den Berg, <xref ref-type="bibr" rid="B84">2020</xref>; Ara&#x000FA;jo et al., <xref ref-type="bibr" rid="B7">2021</xref>).</p>
<p>The present study sought to explore whether maternal prenatal anxiety impacts psychophysiological development in 12 months old Serbian infants during the COVID-19 pandemic. Specifically, the aim was to investigate the prospective impact of maternal prenatal anxiety on infant speech-language, sensory-motor and socio-emotional development at the age of 12 months, controlling maternal age, employment status, the number of children that mother has, COVID-19-related fear, STAI-T, and MSPPS.</p>
<p>Our main findings were as follows: Pregnant women from the sample, who were examined during the third trimester of pregnancy, had intermediate and high levels of trait anxiety, while none had low levels of anxiety. Also, all pregnant women reported a high level of perceived social support. Almost half of the pregnant women reported a COVID-19-related fear, while a group of pregnant women whose number is slightly less than half reported that they have no COVID-19 related fear. Only a small percentage of pregnant women reported that they sometimes had COVID-19-related fear. Moreover, pregnant women who reported having a COVID-19 related fear had higher trait anxiety levels. The average developmental achievements in infants aged 12 months were as follows: the highest level of achievement was present in the assessment of cognition, followed by average achievement in socio-emotional development, then in speech and language development, and finally in motor skills. The experimental factors have an impact on infants&#x00027; development.</p>
<sec>
<title>Maternal Trait Anxiety During Pregnancy in the Context of COVID-19 Pandemic</title>
<p>The study found intermediate and high levels of maternal anxiety among 142 pregnant women from Serbia. The same findings were observed both on STAI-S and STAI-T scale. It was noticed that none of the study participants had a low level of maternal anxiety during pregnancy. In further analysis of the results, we observed the values of STAI-T, which measure relatively stable individual differences in propensity for anxiety (Julian, <xref ref-type="bibr" rid="B52">2011</xref>), while the STAI-S values are relatively transient and variable over time (Floris et al., <xref ref-type="bibr" rid="B40">2017</xref>; Papadopoulou et al., <xref ref-type="bibr" rid="B80">2017</xref>). Similarly to findings from the literature relating to the COVID-19 pandemic and mental health consequences (Shigemura et al., <xref ref-type="bibr" rid="B94">2020</xref>; Xiang et al., <xref ref-type="bibr" rid="B111">2020</xref>), and especially the consequences on maternal mental health (Corbett et al., <xref ref-type="bibr" rid="B26">2020</xref>; Mappa et al., <xref ref-type="bibr" rid="B67">2020</xref>; Saccone et al., <xref ref-type="bibr" rid="B91">2020</xref>; Yan et al., <xref ref-type="bibr" rid="B112">2020</xref>), our findings also indicated that the COVID-19 pandemic has a profound impact on maternal prenatal anxiety, and maternal mental health in general. Various factors during the COVID-19 pandemic have been identified that lead to mental health consequences (Berthelot et al., <xref ref-type="bibr" rid="B14">2020</xref>; Liu et al., <xref ref-type="bibr" rid="B65">2021</xref>). However, the exact prevalence of anxiety among pregnant women during the COVID-19 pandemic is currently unknown, although recent research from different countries suggests elevated symptoms of anxiety in this population of women (Liu et al., <xref ref-type="bibr" rid="B65">2021</xref>; Tomfohr-Madsen et al., <xref ref-type="bibr" rid="B104">2021</xref>). Considering the above data on elevated anxiety symptoms in pregnancy during the COVID-19 pandemic, we could partly explain only the participation of pregnant women with intermediate and high levels of anxiety and the absence of pregnant women with low levels of anxiety in our study. On the other hand, all pregnant women were examined in the third trimester of pregnancy, which emerged as the most vulnerable to the manifestation of high anxiety levels compared to the previous two trimesters (Gunning et al., <xref ref-type="bibr" rid="B43">2010</xref>).</p>
</sec>
<sec>
<title>The Role of Perceived Social Support</title>
<p>The present study revealed that all pregnant women reported increased social support during the COVID-19 pandemic, which is in line with recent studies (Zhang and Ma, <xref ref-type="bibr" rid="B114">2020</xref>; Hashim et al., <xref ref-type="bibr" rid="B45">2021</xref>). This could be explained by the burdensome circumstances that resulted from the COVID-19 pandemic, since social support acts as a protective factor against the adverse mental health difficulties resulting from epidemics and natural disasters (King et al., <xref ref-type="bibr" rid="B56">2012</xref>), and has been identified as an essential protection against stressful life events (Dambi et al., <xref ref-type="bibr" rid="B29">2018</xref>).</p>
<p>Though certain studies indicate that there is a significant inverse relationship between social support and state and trait anxiety in pregnancy (Aktan, <xref ref-type="bibr" rid="B2">2012</xref>), even during the COVID-19 pandemic (Lebel et al., <xref ref-type="bibr" rid="B60">2020</xref>; Khoury et al., <xref ref-type="bibr" rid="B53">2021</xref>), we did not notice such a relationship in our study, but the opposite one. This might be explained by the hypothesis that explains how the impact of social support on health increases during stressful circumstances (Flannery and Wieman, <xref ref-type="bibr" rid="B39">1989</xref>). On the other hand, although there is large evidence that social support predicts depression and vice versa, there is little evidence to explain the directionality of perceived social support and anxiety (Dour et al., <xref ref-type="bibr" rid="B32">2014</xref>). Especially, there are no precise indicators on the impact on individuals&#x00027; social aspect and the mental health of pregnant women during the COVID-19 epidemic (Api et al., <xref ref-type="bibr" rid="B6">2020</xref>). Findings from our study showing a high level of perceived social support in pregnant women, despite their high level of anxiety during the COVID-19 pandemic, could be further explained by the role that social support has as an essential coping resource, as well as a mechanism for the maintenance of psychological well-being under conditions of psychological burdens (Bruwer et al., <xref ref-type="bibr" rid="B19">2008</xref>). Also, it is important to consider the fact that there is a strong family bonding in Serbian culture, especially during women&#x00027;s pregnancy when family and friends give strong support to women in every sense.</p>
</sec>
<sec>
<title>The Role of COVID-19 Related Fear</title>
<p>Although resent research indicated that the COVID-19 pandemic might cause a significant long-lasting increase in fear (Skoda et al., <xref ref-type="bibr" rid="B95">2020</xref>), in our study, less than half of pregnant women reported having a fear of getting a coronavirus infection (COVID-19-related fear). Our results should be interpreted in line with findings that point to decreasing of COVID-19 fear within 6 weeks from the pandemic outbreak (Hetkamp et al., <xref ref-type="bibr" rid="B48">2020</xref>), but also with evidence indicating that individuals may respond differently to the emotional distress caused by traumatic events such as this pandemic (Killgore et al., <xref ref-type="bibr" rid="B55">2021</xref>).</p>
<p>Pregnant women who reported that they have no COVID-19 related fear had lower STAI-T anxiety levels. One-way ANOVA showed a statistical significance of the difference in average STAI-T values to the presence of COVID-19 related fear. However, <italic>post-hoc</italic> analysis subsequently showed that there was no statistical significance between the groups. However, such findings indicating a connection between fear and trait anxiety are in line with the literature that confirmed this relationship (Paredes et al., <xref ref-type="bibr" rid="B81">2021</xref>).</p>
</sec>
<sec>
<title>Developmental Achievements of Infants Aged 12 Months</title>
<p>Child development is a complex maturational and interactive process that includes a gradual progression of perceptual, motor, cognitive, language, socio-emotional and self-regulatory abilities (Sameroff, <xref ref-type="bibr" rid="B92">2009</xref>). There is increasing evidence of the importance of the first 1,000 days of life on later human development (Black et al., <xref ref-type="bibr" rid="B15">2017</xref>; Agarwal et al., <xref ref-type="bibr" rid="B1">2020</xref>). In that light, we also observed the first 12 months of the child&#x00027;s development, the age of the examined children in our study.</p>
<p>Harmonization of developmental abilities is a precondition for orderly child development (Sameroff, <xref ref-type="bibr" rid="B92">2009</xref>). Observing the developmental abilities of infants aged 12 months in our study, we noticed that the highest level of correlation exists between socio-emotional development and speech-language development; then between socio-emotional development and cognition; then between cognition and motor skills, and finally between speech-language and motor skills. Some authors pointed to the connection between the mentioned abilities, which is not simple and direct, but rather complex and multiple (Piek et al., <xref ref-type="bibr" rid="B83">2008</xref>; Wang et al., <xref ref-type="bibr" rid="B109">2014</xref>; Bedford et al., <xref ref-type="bibr" rid="B11">2016</xref>). The links between achievements in cognitive, social communication, and language development were noted, considering the assumed correlation and interdependence of the mentioned abilities (Iverson, <xref ref-type="bibr" rid="B50">2010</xref>; Libertus and Violi, <xref ref-type="bibr" rid="B64">2016</xref>). The highest association between socio-emotional development and speech-language development found in this study may be explained by the close connection between emotion and action, within which communication has a central aspect of action (Saarni et al., <xref ref-type="bibr" rid="B90">2006</xref>). The quality of the maternal-infant relationship has a significant influence on infant development (Johnson, <xref ref-type="bibr" rid="B51">2013</xref>). On the other hand, some authors pointed that a mother&#x00027;s emotional connection with her child has an essential role in predicting social&#x02013;emotional outcomes and less cognitive, language, and motor development outcomes in infant development (Le Bas et al., <xref ref-type="bibr" rid="B58">2021</xref>). We assumed that maternal-infant bonding, as one of the predictors of child development (Johnson, <xref ref-type="bibr" rid="B51">2013</xref>), has a significant role even more during the COVID-19 pandemic, and thus reflects infants&#x00027; socio-emotional development, and speech-language consequently.</p>
<p>The relationship between motor skills and language, cognitive, social, and perceptual development has been intensively studied in recent years (Leonard and Hill, <xref ref-type="bibr" rid="B62">2014</xref>; Leonard et al., <xref ref-type="bibr" rid="B61">2015</xref>; Libertus and Violi, <xref ref-type="bibr" rid="B64">2016</xref>; Libertus and Hauf, <xref ref-type="bibr" rid="B63">2017</xref>; Collett et al., <xref ref-type="bibr" rid="B24">2019</xref>). Interactions between cognition, language, and speech motor skills at an early developmental stage are also shown (Nip et al., <xref ref-type="bibr" rid="B74">2011</xref>). However, the weakest correlation between speech-language and motor skills found in this study may be interpreted with similar findings (Alcock and Krawczyk, <xref ref-type="bibr" rid="B3">2010</xref>), although it is not yet fully understood how the development of motor skills affects the development of speech-language (Libertus and Violi, <xref ref-type="bibr" rid="B64">2016</xref>).</p>
</sec>
<sec>
<title>The Potential Impact of Maternal Trait Anxiety on the Early Infants&#x00027; Development During COVID-19 Pandemic</title>
<p>Bearing in mind that in our study, all mothers during pregnancy had an intermediate or high level of trait anxiety, it was important to examine the impact of anxiety on the early infants&#x00027; development. The impact of pregnant woman&#x00027;s anxiety on early child development has been well-documented (O&#x00027;Connor et al., <xref ref-type="bibr" rid="B77">2002</xref>, <xref ref-type="bibr" rid="B78">2014</xref>; Dunkel Schetter and Tanner, <xref ref-type="bibr" rid="B34">2012</xref>; Huzinik, 2014). Also, an essential issue under consideration is the impact of the COVID-19 pandemic upon pregnancy, childhood and adult outcomes (Quinlivan and Lambregtse-van den Berg, <xref ref-type="bibr" rid="B84">2020</xref>). The results of our study pointed to a weak positive correlation between maternal trait anxiety and the child&#x00027;s socio-emotional status, which is in line with the literature (Rees et al., <xref ref-type="bibr" rid="B86">2019</xref>).</p>
<p>In addition, literature data have shown that other factors may also affect the child&#x00027;s development, such as the maternal age, employment, and the number of children the mother has (Brooks-Gunn et al., <xref ref-type="bibr" rid="B18">2002</xref>; Bernal, <xref ref-type="bibr" rid="B12">2008</xref>; Chittleborough et al., <xref ref-type="bibr" rid="B22">2011</xref>; Tearne, <xref ref-type="bibr" rid="B102">2015</xref>; Duncan et al., <xref ref-type="bibr" rid="B33">2018</xref>; Falster et al., <xref ref-type="bibr" rid="B37">2018</xref>). With this in mind, we decided to examine the influence of these factors depending on the levels of trait anxiety, COVID-19 related fear, and perceived social support.</p>
<p><xref ref-type="table" rid="T5">Table 5</xref> shows the association between the independent factors STAI_T level, COVID-19 related fear, Number of children and Employment (nominal type) and the dependent variables Speech and language, Motor skills, Cognition and Socio-emotional achievement (scale type). It is evident that association depends on factor variable combination. For example, STAI-T level has the highest association with Cognition (&#x003B7; = 0.515) and the lowest with Socio-emotional achievement (&#x003B7; = 0.0.254), while Employment has the highest association with Motor skills (&#x003B7; = 0.449) and the lowest with Cognition (&#x003B7; = 0.0.266) It is important to notice that all independent factors are associated with child&#x00027;s development. Results indicate that part of the variability of developmental abilities can be explained by factors. It implies that the factors have an impact on child development.</p>
<p>Univariate analysis showed that between 30.9 and 40.6% variability of dependent variables Speech-language, Motor skills, Cognition and Socio-emotional achievement could be explained by factors Employed, Number of children, COVID-19 related fear and STAI-T level and covariates Maternal age and MSPSS. It can be concluded from <xref ref-type="table" rid="T5">Table 5</xref> that interaction terms have a dominant impact on models. In all models statistically significant impact of COVID-19 related fear and STAI-T level interaction is present. However, this two-way interaction also occurs as an element of a statistically significant three-way interaction. In the case of all dependent variables, they occur in interaction with number of children. Only in Motor skills Observed Power is &#x0003C;0.8 (0.741). In the case of Motor skills, three-way interaction with Observed Power &#x0003E;0.8 (0.927) occurs between COVID-19 related fear, STAI-T level, and Employed. The interaction of factors and their influence can be easily observed from the example given in <xref ref-type="fig" rid="F2">Figure 2</xref>.</p>
<p>If we look at the three-way interaction term Number of children <sup>&#x0002A;</sup> COVID-19 related fear <sup>&#x0002A;</sup> STAI-T level found in all four linear models, we notice that the influence of individual factors on achievements within the developmental functions is different. That is, for each of the four development functions, the maximum and minimum achievements are influenced by different combinations of interacting factors values. For example, while children of mothers who have one child are sometimes afraid of COVID-19 and have an intermediate level of STAI-T have the most developed speech and language, children of mothers who have two or more children have no fear of COVID-19 and have a high level of STAI-T show the best cognitive abilities. The obtained results indicate a complex interdependence of the observed factors and their influence on the development of the observed functions in the first 12 months of a child&#x00027;s life. We can say that the mother-child relationship in this period is subject to the influence of various factors, reflecting on the child&#x00027;s development and having complex implications on individual functions.</p>
<p>The conducted research did not answer the question of the individual influence of the analysed factors on the child&#x00027;s development, but it confirmed our hypothesis that the mother&#x00027;s anxiety affects the child&#x00027;s development. COVID-19 related fear has also been shown to have an effect. In that sense, considering that there are no consolidated studies on the possible impacts of COVID-19 on pregnant women&#x00027;s health and their children&#x00027;s development, especially over the long term, maternal anxiety during this period is a problem that needs to be more widely addressed.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>The study showes that the COVID-19 pandemic affects the level of trait anxiety manifestation in pregnant women and the level of perceived social support. Selected factors as follows: maternal age, the level of maternal anxiety, and the maternal COVID-19 related fear influence the infants&#x00027; development. This study confirmes our hypothesis that maternal anxiety and fear of COVID-19 have an influence on infant&#x00027;s development. Due to the interaction between the factors, their individual influence could not be precisely determined. Further focused research should provide an answer to this question.</p>
<p>Generally, this study aims to improve the understanding of the impact of the COVID-19 pandemic on infants&#x00027; development, which can help to guide appropriate strategies to prevent dysfunctions in the children&#x00027;s development on the one hand, and on the other to promote a stimulating environment for children.</p>
<sec>
<title>Strengths and Limitations</title>
<p>To the best of our knowledge, there are no studies that monitor the early infant&#x00027;s development under the influence of the mother&#x00027;s mental health during the COVID-19 pandemic. Since this study was conducted during a COVID-19 pandemic, we assume that it resulted without having a group of mothers with a low level of trait anxiety. In that sense, it was not possible to make a more precise conclusion about the influence of maternal anxiety on the infants&#x00027; development during the COVID-19 pandemic. On the other hand, it is not possible to accurately state the impact of each observed factor on the early infants&#x00027; development. It is also important to note that the comorbidity of depression/anxiety is very high, and its impact on child&#x00027;s development during the COVID-19 pandemic was not estimated in our study. Also, only the mothers were included in the study, which indicates that without including fathers/partners, the impact of child development could not be determined accurately. The findings from this study suggest that future research is warranted to investigate the longitudinal impacts of maternal and parental mental health on child development during the COVID-19 pandemic, taking into account additional measurement points and modifiable risk factors. The need for systematic monitoring of children at the earliest age was pointed out, and providing the necessary support to pregnant women and fathers/partners during the COVID-19 pandemic.</p>
</sec>
</sec>
<sec id="s6">
<title>Author&#x00027;s Note</title>
<p>LJ, MSo, OG, and MK are management committee members of COST Action CA18211: DEVoTION: Perinatal Mental Health and Birth-Related Trauma: Maximizing best practice and optimal outcomes. This paper contributes to the EU COST Action 18211: DEVoTION.</p>
</sec>
<sec sec-type="data-availability" id="s7">
<title>Data Availability Statement</title>
<p>The datasets presented in this article are not readily available because of legal and ethical constraints. Public sharing of participant data was not included in the informed consent of the study. Requests to access the datasets should be directed to Mi&#x00161;ko Suboti&#x00107;, <email>m.subotic&#x00040;add-for-life.com</email>.</p>
</sec>
<sec id="s8">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Ethics Committee of the Clinic for Gynecology and Obstetrics Narodni Front (Date: 26 March, 2020, No 27/20), in Belgrade and by the Ethics Committee of the Institute for experimental phonetics and speech pathology (Date: 2 April, 2020, No 45/20), in Belgrade, Serbia. Written informed consent to participate in this study was provided by the participants&#x00027; legal guardian/next of kin.</p>
</sec>
<sec id="s9">
<title>Author Contributions</title>
<p>LJ and MSu: conceptualization and visualization. LJ and MSo: methodology. MSu: formal, statistical analysis, and supervision. LJ, IB, and AD: investigation. AD and IB: data curation. LJ: supervision of the (ongoing) data collection and writing&#x02014;original draft preparation. MSo, OG, and MK: writing&#x02014;review and editing. All authors contributed to the article and approved the submitted version.</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. The reviewer ML declared a shared affiliation, with no collaboration, with one of the authors MK to the handling editor at the time of the review.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<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>
<ack><p>We want to thank all mothers for supporting our project. Furthermore, we want to thank the staff from the Clinic for gynecology and obstetrics Narodni Front in Belgrade and the Institute for Experimental Phonetics and Speech Pathology in Belgrade, where this study was conducted.</p>
</ack><sec sec-type="supplementary-material" id="s11">
<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/fpsyg.2021.792053/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyg.2021.792053/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table_2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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