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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">ARBOR</journal-id>
			<journal-title-group>
				<journal-title>ARBOR Ciencia, Pensamiento y Cultura</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Arbor</abbrev-journal-title>
			</journal-title-group>
			<issn publication-format="print">0210-1963</issn>
			<issn publication-format="electronic">1988-303X</issn>
			<publisher>
				<publisher-name>Consejo Superior de Investigaciones Cient&#xed;ficas</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="publisher-id">arbor.2022.806011</article-id>
			<article-id pub-id-type="doi">10.3989/arbor.2022.806011</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Art&#xed;culos</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Healthy habits in CSIC workers during COVID-19 lockdown in Spain</article-title>
				<trans-title-group xml:lang="es">
					<trans-title>
						<italic>H&#xe1;bitos saludables de los trabajadores del CSIC durante el confinamiento por la COVID-19 en Espa&#xf1;a</italic>
					</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author" corresp="yes">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2423-8174</contrib-id>
					<name>
						<surname>De Diego</surname>
						<given-names>Elena H.</given-names>
					</name>
					<email xlink:href="elenahdezdediego@gmail.com">elenahdezdediego@gmail.com</email>
					<aff id="aff1"><institution>Institute of Food Science, Technology and Nutrition</institution>, <institution content-type="council">Consejo Superior de Investigaciones Cient&#xed;ficas</institution> (ICTAN-CSIC)</aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5930-6659</contrib-id>
					<name>
						<surname>Zapatera</surname>
						<given-names>Bel&#xe9;n</given-names>
					</name>
					<email xlink:href="bzapatera@ictan.csic.es">bzapatera@ictan.csic.es</email>
					<aff id="aff2"><institution>Institute of Food Science, Technology and Nutrition</institution>, <institution content-type="council">Consejo Superior de Investigaciones Cient&#xed;ficas</institution> (ICTAN-CSIC)</aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0355-3113</contrib-id>
					<name>
						<surname>Fr&#xed;as</surname>
						<given-names>Juana</given-names>
					</name>
					<email xlink:href="Fr&#xed;as@ictan.csic.es">Fr&#xed;as@ictan.csic.es</email>
					<aff id="aff3"><institution>Institute of Food Science, Technology and Nutrition</institution>, <institution content-type="council">Consejo Superior de Investigaciones Cient&#xed;ficas</institution> (ICTAN-CSIC)</aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3281-0118</contrib-id>
					<name>
						<surname>G&#xf3;mez-Mart&#xed;nez</surname>
						<given-names>Sonia</given-names>
					</name>
					<email xlink:href="sgomez@ictan.csic.es">sgomez@ictan.csic.es</email>
					<aff id="aff4"><institution>Institute of Food Science, Technology and Nutrition</institution>, <institution content-type="council">Consejo Superior de Investigaciones Cient&#xed;ficas</institution> (ICTAN-CSIC)</aff>
				</contrib>
			</contrib-group>
			<pub-date pub-type="epub">
				<day>27</day>
				<month>12</month>
				<year>2022</year>
			</pub-date>
			<pub-date pub-type="collection">
				<month>12</month>
				<year>2022</year>
			</pub-date>
			<volume>198</volume>
			<issue>806</issue>
			<elocation-id>a681</elocation-id>
			<history>
				<date date-type="received">
					<day>09</day>
					<month>01</month>
					<year>2022</year>
				</date>
				<date date-type="accepted">
					<day>13</day>
					<month>09</month>
					<year>2022</year>
				</date>
				<date date-type="pub">
					<day>19</day>
					<month>01</month>
					<year>2023</year>
				</date>
			</history>
			<permissions>
				<copyright-statement>&#xa9;2022 CSIC</copyright-statement>
				<copyright-year>2022</copyright-year>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
					<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License.</license-p>
				</license>
			</permissions>
			<self-uri xlink:href="http://arbor.revistas.csic.es/index.php/arbor/article/view/XXXX/XXXX"/>
			<abstract>
				<title>Abstract</title>
				<p>Aim: COVID-19 crisis has caused a deep change in citizen&#x2019;s lifestyle. Previous outbreaks have shown that people under confinement can develop mental health problems and cause effects on physical activity (PA) and changes in the diet habits<bold>.</bold> Subject and Methods: An online questionnaire about healthy habits during the Spanish lockdown was sent to workers from the Spanish National Research Council (CSIC). Results: A general improvement in the dietary patterns, except for the intake of snacks and bakery goods was observed. PA was substantially reduced, mostly in men, unlike the emotional changes, which were greater in women, mainly observed as anxiety and sleep disorders. Additionally, emotional eating (EE) behaviors were detected mainly in women, although the intake related to boredom was observed in both genders<bold>.</bold> Conclusions: Overall, the dietary patterns of CSIC workers followed the general recommendations for COVID-19 lockdown. However, half of the participants decreased their PA practice. Regarding to the emotional changes, emotional eating behaviors were associated with anxiety, especially in women, and boredom for both genders.</p>
			</abstract>
			<trans-abstract xml:lang="es">
				<title>Resumen</title>
				<p>Objeto: la crisis de la COVID-19 ha causado un cambio profundo en el estilo de vida de la ciudadan&#xed;a. Las olas previas han demostrado que en r&#xe9;gimen de confinamiento se pueden desarrollar problemas de salud mental y hay efectos sobre la actividad f&#xed;sica y cambios en los h&#xe1;bitos diet&#xe9;ticos. Tema y metodolog&#xed;a: se envi&#xf3; a los trabajadores del Consejo Superior de Investigaciones Cient&#xed;ficas (CSIC) un cuestionario en l&#xed;nea sobre sus costumbres relacionadas con la salud durante el confinamiento en Espa&#xf1;a. Resultados: en general se observ&#xf3; una mejora en los patrones diet&#xe9;ticos, excepto por la ingesta de aperitivos y de productos de panader&#xed;a y boller&#xed;a. La actividad f&#xed;sica qued&#xf3; sustancialmente reducida, especialmente en los hombres, al contrario que los cambios psicol&#xf3;gicos, que fueron mayores en las mujeres, manifestados principalmente como ansiedad y desorden del sue&#xf1;o. Adem&#xe1;s, las conductas de ingesta alimentaria como escape emocional se detectaron principalmente en las mujeres, aunque la ingesta relacionada con el aburrimiento se observ&#xf3; en ambos g&#xe9;neros. Conclusi&#xf3;n: los patrones diet&#xe9;ticos de los trabajadores del CSIC siguieron en general las recomendaciones para el confinamiento de la COVID-19, aunque la mitad de los participantes disminuyeron la pr&#xe1;ctica de actividad f&#xed;sica. Con respecto a los cambios psicol&#xf3;gicos, las conductas de ingesta alimentaria como escape emocional aparecieron asociadas a la ansiedad, especialmente en las mujeres, y al aburrimiento en ambos g&#xe9;neros.</p>
			</trans-abstract>
			<kwd-group>
				<kwd>COVID-19</kwd>
				<kwd>Spanish lockdown</kwd>
				<kwd>diet</kwd>
				<kwd>physical activity (PA)</kwd>
				<kwd>emotional state (ES)</kwd>
				<kwd>emotional eating (EE)</kwd>
			</kwd-group>
			<kwd-group xml:lang="es">
				<kwd>COVID-19</kwd>
				<kwd>confinamiento en Espa&#xf1;a</kwd>
				<kwd>h&#xe1;bitos diet&#xe9;ticos</kwd>
				<kwd>actividad f&#xed;sica</kwd>
				<kwd>estado de &#xe1;nimo</kwd>
				<kwd>ingesta alimentaria como escape emocional</kwd>
			</kwd-group>
			<counts>
				<fig-count count="1"/>
				<table-count count="3"/>
				<equation-count count="0"/>
				<ref-count count="62"/>
				<page-count count="12"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec id="sec1" sec-type="intro">
			<title>Introduction</title>
			<p>The current pandemic situation caused by SARS-CoV-2 has caused a deep change in citizen&#x2019;s lifestyle. Measures focused on the protection of public health have been implemented worldwide. In particular, the Spanish government imposed a national lockdown on March 14<sup>th</sup>, 2020, due to the severity of the situation. For nearly 3 months, Spanish population had to adapt their lifestyles to the new situation of staying at home, in a context where outdoor activities are an essential part of their cultural habits. In addition to this, the stressful environment created by the rising of COVID-19 cases and deaths (<xref ref-type="bibr" rid="B30">Lima <italic>et al</italic>. 2020</xref>), the fear of infection, the uncertainty about the near future and the possible socio-economic consequences of the pandemic (<xref ref-type="bibr" rid="B2">Balluerka <italic>et al</italic>. 2020</xref>; <xref ref-type="bibr" rid="B19">Garre-Olmo <italic>et al</italic>. 2020</xref>), are just some factors that have a psychological impact on the population (<xref ref-type="bibr" rid="B5">Brooks <italic>et al</italic>. 2020</xref>).</p>
			<p>Indeed, in the previous outbreaks of Severe Acute Respiratory Syndrome (SARS) and the Middle East Respiratory Syndrome Coronavirus (MERS-CoV), psychological symptoms like anxiety (<xref ref-type="bibr" rid="B22">Jeong <italic>et al</italic>. 2016</xref>), depression, and post-traumatic stress disorder (PTSD) (<xref ref-type="bibr" rid="B24">Ko <italic>et al</italic>. 2006</xref>; <xref ref-type="bibr" rid="B48">Reynolds <italic>et al</italic>. 2008</xref>; <xref ref-type="bibr" rid="B28">Lam <italic>et al</italic>. 2009</xref>; <xref ref-type="bibr" rid="B35">Mak <italic>et al</italic>. 2009</xref>; <xref ref-type="bibr" rid="B62">Yoon <italic>et al</italic>. 2016</xref>) were detected in individuals who were isolated, and those symptoms remained for some time (<xref ref-type="bibr" rid="B60">Wu <italic>et al</italic>. 2008</xref>; <xref ref-type="bibr" rid="B22">Jeong <italic>et al</italic>. 2016</xref>). Regarding COVID-19 pandemic, a study comparing the Spanish and Greek populations during the first outbreak showed that living in Spain was associated with increased anxiety symptoms. Authors attributed these differences to the severe situation and stricter lockdown measures in Spain (<xref ref-type="bibr" rid="B44">Papandreou <italic>et al</italic>. 2020</xref>).</p>
			<p>The effect of psychological symptoms on lifestyle has been described in traumatic situations, like terrorist attacks (<xref ref-type="bibr" rid="B4">Boscarino, Adams, and Galea, 2006</xref>) or natural disasters (<xref ref-type="bibr" rid="B29">Lebeaut, Tran, and Vujanovic, 2020</xref>), which were associated with an increased risk of addictive behaviors such as alcohol abuse (<xref ref-type="bibr" rid="B17">Garc&#xed;a-&#xc1;lvarez <italic>et al</italic>., 2020</xref>)<italic>.</italic> Therefore, it should be considered the potential risk that COVID-19 lockdown may exert on the development of unhealthy habits. Studies conducted during COVID-19 lockdown showed an increase in the consumption of alcohol or comfort foods (<xref ref-type="bibr" rid="B2">Balluerka <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B55">Sidor and Rzymski, 2020</xref>). It has been pointed out those negative emotions such as anxiety or depression, may prompt Emotional Eating (EE) behaviors (<xref ref-type="bibr" rid="B34">Matcht, 2008</xref>; <xref ref-type="bibr" rid="B26">Konttinen <italic>et al</italic>. 2010</xref>; <xref ref-type="bibr" rid="B10">Clum <italic>et al</italic>., 2014</xref>; <xref ref-type="bibr" rid="B15">Ferrel, Watford, and Braden, 2020</xref>). EE is defined as the tendency to eat, usually hyper-palatable foods (<xref ref-type="bibr" rid="B34">Macht, 2008</xref>; <xref ref-type="bibr" rid="B6">Camilleri <italic>et al</italic>. 2014</xref>; <xref ref-type="bibr" rid="B39">Muscogiuri <italic>et al</italic>., 2020</xref>), in the response to positive or negative emotions (<xref ref-type="bibr" rid="B7">Cardi, Leppanen, and Treasure, 2015</xref>). Some authors indicate that this eating behavior could mediate between depressive symptoms and body mass index (BMI) (<xref ref-type="bibr" rid="B10">Clum <italic>et al</italic>., 2014</xref>), waist circumference, and percent body fat (<xref ref-type="bibr" rid="B26">Konttinen <italic>et al</italic>., 2010</xref>).</p>
			<p>Moreover, physical activity (PA) has become a paramount concern due to the confinement situation. For instance, Spanish citizens were not allowed to exercise outdoor for at least seven weeks, which implied that PA had to be adapted to be practiced at home. This fact may have impaired exercising, as several investigations have recently shown (<xref ref-type="bibr" rid="B2">Balluerka <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B19">Garre-Olmo <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B31">L&#xf3;pez-Bueno <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B50">Rodr&#xed;guez-P&#xe9;rez <italic>et al</italic>., 2020</xref>). Additionally, PA during the lockdown should have compensated for the decrease of the activities of daily living (<xref ref-type="bibr" rid="B23">Jim&#xe9;nez-Pav&#xf3;n, Carbonell-Baeza, and Lavie, 2020</xref>). Short- term physical inactivity and a positive energy balance can increase risk factors for developing metabolic syndrome, owing to reduced insulin sensitivity, increased total body, central fat and a proinflammatory status (<xref ref-type="bibr" rid="B36">Mart&#xed;nez-Ferr&#xe1;n, Sanchis-Gomar, and Pareja Galeano, 2020</xref>). Overall, habit changes have been detected in Spanish population during the lockdown, observing differences in sociodemographic and living conditions (<xref ref-type="bibr" rid="B41">Navas-Mart&#xed;n <italic>et al</italic>., 2021</xref>). In a society where Non-Communicable Diseases (NCDs) are responsible for almost 70% of all deaths in the world (<ext-link ext-link-type="uri" xlink:href="https://www.who.int/health-topics/noncommunicable-diseases#tab=tab_1">https://www.who.int/health-topics/noncommunicable-diseases#tab=tab_1</ext-link>), is necessary to pay attention to these circumstances which could lead to the establishment of unhealthy habits in a long term. In particular, it is interesting to evaluate how citizens adapt their lifestyle to this exceptional situation from a working level perspective, due to the significant changes that the confinement causes in this specific area.</p>
			<p>Therefore, the aim of this study was to determine the effect of the COVID-19 lockdown on workers&#x2019; lifestyle from Spanish National Research Council (CSIC), the largest public research institution in Spain. In most cases, CSIC workers had to adapt to work from home, which led to a new situation since the telecommuting was not established. Consequently, assessing lifestyle changes under such special situations, especially on dietary patterns, PA practice and emotional changes becomes necessary. </p>
		</sec>
		<sec id="sec2" sec-type="materials|methods">
			<title>Material and methods</title>
			<p>To investigate the healthy habits of CSIC workers, a survey was sent during the lockdown applied in Spain from March 14<sup>th</sup>, 2020. The questionnaire had an online <italic>Google docs</italic> format, and it was approved by CSIC Ethics Committee. Participation was shared through the CSIC institutional mailing list, reaching only the internal CSIC staff and not external services, and responses were accepted from April 20<sup>th</sup> to June 14<sup>th</sup>, 2020. Participation in the online questionnaire was voluntary and anonymized, being necessary for a previous acceptance of the participant.</p>
			<p>The survey consisted of 39 questions structured into 4 sections: socio-demographic characteristics, dietary patterns, physical activity, and emotional state during confinement (<xref ref-type="fig" rid="f1">Figure 1</xref>). </p>
			<fig id="f1">
				<label>Figure 1</label>
				<caption>
					<title>Flow chart of the study characteristics and sections of the questionnaire.</title>
				</caption>
				<graphic id="gra-1" xlink:href="ARBOR-198-806-a681-gf1.png"/>
				<attrib>Source: Own elaboration.</attrib>
			</fig>
			<p>Socio-demographic characteristics: gender, age, height, weight, training in nutrition and dietetics, current work modality, cohabitants, living conditions, and the presence of COVID-19 symptoms were asked. Body Mass Index of the respondents was also calculated with the self-reported height and weight.</p>
			<p>Changes in dietary patterns: perception of changes in eating and consumption habits during the confinement (shopping activities, availability of food and meals per day) and 14 questions about food group consumption were asked. Participants had to indicate an increase, decrease, or no change in the intake of water, energetic drinks, alcoholic beverages, fruits and vegetables, wholegrain cereals, legumes, fish, dairy products, red and cured meat, pre-cooked products, fast food, savory snacks, sweet snacks and bakery products. </p>
			<p>Two score systems were created to evaluate the consumption of food considered a more or less healthy food. For the healthy food score, points addressed to intake of fruits and vegetables, pulses, fish and whole-grain cereals were assigned, obtaining 2 points if the consumption increased, 1 point if it did not change and 0 points if it decreased. Then the total number of points was divided between the highest rating that it could be obtained, resulting in a score from 0 to 1, where 0 meant the participant decreased the consumption of all the considered healthy food, while 1 meant an improvement of its intake. For the unhealthy food score, the following food groups were included: energetic drinks, alcoholic beverages, savory and sweet snacks, bakery products, red and cured meat, pre-cooked products and fast food. The score was calculated using the same procedure, but 2 points were assigned when the intake of these products decreased, and 0 points were assigned if its consumption increased. Thus, the higher the score was the lower intake of these non-recommended products, and vice versa. Therefore, higher scores in both indicators meant better dietary changes.</p>
			<p>Changes in physical activity (PA): practice during the confinement, changes in usual routine, motivation and factors that increase motivation were inquired. </p>
			<p>Changes in emotional states (ES): anxiety, boredom, sadness, irritability, and sleep disorders were asked through Likert scale questions, rating from 1-5 (1 no change, 5 complete change). Checkbox type questions were used to evaluate the attitudes and strategies adopted to cope with emotional changes. </p>
			<p>An <italic>Emotional Eating Score</italic> (EE score) was created by the inclusion of those items associated with overeating [<italic>&#x201c;It is difficult for me to control the amount of hyper-palatable food (sweets, fried snacks, etc.) that I eat&#x201d;, &#x201c;I eat more because of anxiety, boredom, etc.&#x201d;, &#x201c;Snacking&#x201d;</italic> ]. One point was assigned when each item was not checked, thus the higher punctuation, the lesser emotional eating behaviors were followed.</p>
			<p>Statistical analyses were conducted using IBM SPSS Statistics for Windows, Version 26.0. (IBM Corp. Released 2019, Armonk, NY, USA). To explore personal and sociodemographic characteristics, dietary patterns, physical activity and emotional state, frequencies, percentages (%) and means with standard deviations were employed. For the analysis of the variables, Chi-square was applied when comparing categorical variables and ANOVA to test differences between the means of groups. Correlations between continuous variables were calculated using Pearson correlation.</p>
		</sec>
		<sec id="sec3" sec-type="results">
			<title>Results</title>
			<sec id="sec3.1">
				<title>Socio-demographic characteristics</title>
				<p>A total of 2.219 responses were collected during the 8 weeks the survey was active (April 20<sup>th</sup> -June 14<sup>th</sup>, 2020). Since the goal of the study was to determine the healthy habits of CSIC workers during the lockdown, all the responses of participants who did not work at the organization were excluded. In addition, this study aimed to explore the relationship between the effect of the lockdown and the healthy habits in a specific work group, not being expected to show representative results. </p>
				<p>As a result, 2.084 participants from 93 Institutes, Centers and Units of CSIC (ICUs) and 7 regional offices were included for further analysis. The sample represents 20% of the 10,541 CSIC workers (<xref ref-type="bibr" rid="B11">Consejo Superior de Investigaciones Cient&#xed;ficas, 2020</xref>), who mostly telecommuting during the lockdown, in contrast to those working on-site (3%) or both telecommuting and on-site (16%). Since the majority of the participants worked from home during this period, no association was studied to compare this group with those that were allowed to work on-site. </p>
				<p>About 62% of the participants were women and significant differences (p&lt;0.001) between gender were found for age, BMI and nutritional knowledge (<xref ref-type="table" rid="t1">Table 1</xref>). Additionally, a positive correlation between age and BMI (r= 0.025; p&lt;0.001) was found.</p>
				<table-wrap id="t1">
					<label>Table 1</label>
					<caption>
						<title>Socio-demographic characteristics of CSIC participants</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="left"> </th>
								<th align="center">Total</th>
								<th align="center">Women</th>
								<th align="center">Men</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left">Age (years) (Mean &#xb1; SD)</td>
								<td align="center">44.5 &#xb1;12.4</td>
								<td align="center">43.6 &#xb1;12.1#</td>
								<td align="center">46.1 &#xb1;12.7</td>
							</tr>
							<tr>
								<td align="left">Height (cm) (Mean &#xb1; SD)</td>
								<td align="center">168.6 &#xb1;8.8</td>
								<td align="center">164.0 &#xb1;6.3#</td>
								<td align="center">176.1 &#xb1;6.8</td>
							</tr>
							<tr>
								<td align="left">Weight (kg) (Mean &#xb1; SD)</td>
								<td align="center">68.7 &#xb1;13.8</td>
								<td align="center">62.4 &#xb1;11#</td>
								<td align="center">78.7 &#xb1;11.8</td>
							</tr>
							<tr>
								<td align="left">BMI (kg/m2) (Mean &#xb1; SD)</td>
								<td align="center">24.1 &#xb1;3.9</td>
								<td align="center">23.2 &#xb1;3.9#</td>
								<td align="center">25.4 &#xb1;3.5</td>
							</tr>
							<tr>
								<td align="left">Gender (%)</td>
								<td align="center">100</td>
								<td align="center">61.7</td>
								<td align="center">38.3</td>
							</tr>
							<tr>
								<td align="left">Telecommuting (%)</td>
								<td align="center">81</td>
								<td align="center">82.6*</td>
								<td align="center">78.3</td>
							</tr>
							<tr>
								<td align="left">No nutritional knowledge (%)</td>
								<td align="center">47.3</td>
								<td align="center">44.8**</td>
								<td align="center">51.3</td>
							</tr>
							<tr>
								<td align="left" colspan="4">BMI: Body Mass Index. </td>
							</tr>
							<tr>
								<td align="left" colspan="4"># Significant differences between gender data by ANOVA t-test (p&lt;0.001); *Significant differences between gender by Chi-Square test (*p&lt;0.05, **p&lt;0.001) are shown in bold.</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN1">
							<p>Source: Own elaboration from the collected data.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
				<p>Concerning the living conditions during the COVID-19 lockdown, from 1,660 participants who provided their living condition, 42% lived alone. In addition, nearly half of the sample (45%) had no terrace, stairs or garden in their home.</p>
			</sec>
		</sec>
		<sec id="sec4">
			<title>Changes in dietary patterns, physical activity and emotional state</title>
			<p>During the lockdown, 33% of the participants increase the preparation of traditional meals, 18% increased meal planning and 15% used shopping lists. 70% of the participants did not change the number of meals per day, where the most common behavior was 3 meals per day.</p>
			<p>Almost half of the participants (45.3%) perceived changes in their diet during the confinement (<xref ref-type="table" rid="t2">Table 2</xref>). From those, 35% expressed that their eating habits had worsened, exhibiting a higher BMI average in this group in relation to participants with a different perception (25.1 &#xb1;4.61; 23.6&#xb1;3.73; 24.3&#xb1;3.59 kg/m<sup>2</sup> perceived worsening, no change and perceived improvement, respectively; p&lt;0.001). Moreover, women expressed proportionally worse eating habits during the lockdown than men (18.7 and 11.5%, respectively; p&lt;0.001). Concerning age, 21% of the participants under 35 years old expressed that they changed their eating behavior negatively. </p>
			<table-wrap id="t2">
				<label>Table 2</label>
				<caption>
					<title>Perceived changes in dietary patterns, physical activity and emotional state during the lockdown</title>
				</caption>
				<table>
					<colgroup>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead>
						<tr>
							<th align="left"> </th>
							<th align="left"> </th>
							<th align="center">
								<bold>Total</bold>
							</th>
							<th align="center">
								<bold>Women</bold>
							</th>
							<th align="center">
								<bold>Men</bold>
							</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="left" rowspan="2">
								<bold>Perceived changes in eating behavior (</bold>
								<italic>%)</italic>
							</td>
							<td align="left">
								<italic>Worsening</italic>
							</td>
							<td align="center"> 15.9</td>
							<td align="center">
								<bold>18.7</bold>
								<sup>***</sup>
							</td>
							<td align="center">
								<bold>11.5</bold>
							</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Improvement</italic>
							</td>
							<td align="center"> 29.4</td>
							<td align="center">
								<bold>28.3</bold>
								<sup>***</sup>
							</td>
							<td align="center">
								<bold>31.1</bold>
							</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Water</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 20.7</td>
							<td align="center">
								<bold>23.5</bold>
								<sup>***</sup>
							</td>
							<td align="center">
								<bold>16.2</bold>
							</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 17.0</td>
							<td align="center">
								<bold>18.3</bold>
								<sup>***</sup>
							</td>
							<td align="center">
								<bold>15.1</bold>
							</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Energetic drinks</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 16.5</td>
							<td align="center"> 16.6</td>
							<td align="center"> 16.3</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 13.1</td>
							<td align="center"> 14.1</td>
							<td align="center"> 11.4</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Alcoholic drinks</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 23.2</td>
							<td align="center"> 23.1</td>
							<td align="center"> 23.5</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 19.7</td>
							<td align="center"> 18.5</td>
							<td align="center"> 21.5</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Fruits and vegetables</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 7.30</td>
							<td align="center"> 7.90</td>
							<td align="center"> 6.10</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 28.4</td>
							<td align="center"> 27.4</td>
							<td align="center"> 30.1</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Wholegrain cereals</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 8.10</td>
							<td align="center">
								<bold>9.30</bold>
								<sup>*</sup>
							</td>
							<td align="center">
								<bold>6.30</bold>
							</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 9.40</td>
							<td align="center">
								<bold>8.40</bold>
								<sup>*</sup>
							</td>
							<td align="center">
								<bold>10.9</bold>
							</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Pulses</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 5.50</td>
							<td align="center"> 6.40</td>
							<td align="center"> 4.00</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 28.1</td>
							<td align="center"> 27.5</td>
							<td align="center"> 29.0</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Fish</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 17.4</td>
							<td align="center"> 16.7</td>
							<td align="center"> 18.6</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 21.1</td>
							<td align="center"> 22.4</td>
							<td align="center"> 18.9</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Dairy products</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 4.75</td>
							<td align="center"> 4.30</td>
							<td align="center"> 5.50</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 16.0</td>
							<td align="center"> 15.8</td>
							<td align="center"> 16.2</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Red and cured meat</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 24.8</td>
							<td align="center"> 24.4</td>
							<td align="center"> 25.3</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 8.45</td>
							<td align="center"> 9.50</td>
							<td align="center"> 6.80</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Pre-cooked products</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 40.6</td>
							<td align="center"> 42.5</td>
							<td align="center"> 37.6</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 4.90</td>
							<td align="center"> 4.50</td>
							<td align="center"> 5.40</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Sweet snacks</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 24.3</td>
							<td align="center">
								<bold>23.3</bold>
								<sup>***</sup>
							</td>
							<td align="center">
								<bold>26.0</bold>
							</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 20.4</td>
							<td align="center">
								<bold>23.7</bold>
								<sup>***</sup>
							</td>
							<td align="center">
								<bold>14.9</bold>
							</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Savory snacks</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 21.0</td>
							<td align="center">
								<bold>20.2</bold>
								<sup>**</sup>
							</td>
							<td align="center">
								<bold>22.2</bold>
							</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 27.0</td>
							<td align="center">
								<bold>29.9</bold>
								<sup>**</sup>
							</td>
							<td align="center">
								<bold>22.3</bold>
							</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Bakery products</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 21.0</td>
							<td align="center">
								<bold>19.6</bold>
								<sup>***</sup>
							</td>
							<td align="center">
								<bold>23.3</bold>
							</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 26.6</td>
							<td align="center">
								<bold>31.9</bold>
								<sup>***</sup>
							</td>
							<td align="center">
								<bold>18.1</bold>
							</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Fast food</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Lower intake</italic>
							</td>
							<td align="center"> 34.3</td>
							<td align="center"> 33.5</td>
							<td align="center"> 35.6</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Higher intake</italic>
							</td>
							<td align="center"> 5.60</td>
							<td align="center"> 6.40</td>
							<td align="center"> 4.40</td>
						</tr>
						<tr>
							<td align="left" colspan="2">
								<bold>Healthy food score (</bold>
								<italic>Mean &#xb1; SD)</italic>
							</td>
							<td align="center"> 0.561 &#xb1; 0.156 </td>
							<td align="center"> 0.557 &#xb1; 0.156</td>
							<td align="center"> 0.567 &#xb1; 0.156</td>
						</tr>
						<tr>
							<td align="left" colspan="2">
								<bold>Unhealthy food score (</bold>
								<italic>Mean &#xb1; SD)</italic>
							</td>
							<td align="center"> 0.550 &#xb1; 0.182</td>
							<td align="center">
								<bold>0.541 &#xb1; 0.185</bold>
								<sup>#</sup>
							</td>
							<td align="center">
								<bold>0.566 &#xb1; 0.176</bold>
							</td>
						</tr>
						<tr>
							<td align="left" rowspan="2">
								<bold>Changes in physical activity</bold>
								<italic>(%)</italic>
							</td>
							<td align="left">
								<italic>Decreased PA</italic>
							</td>
							<td align="center"> 50.8</td>
							<td align="center">
								<bold>48.8</bold>
								<sup>*</sup>
							</td>
							<td align="center">
								<bold>54.0</bold>
							</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Increased PA</italic>
							</td>
							<td align="center"> 33.3</td>
							<td align="center">
								<bold>35.5</bold>
								<sup>*</sup>
							</td>
							<td align="center">
								<bold>29.7</bold>
							</td>
						</tr>
						<tr>
							<td align="left" rowspan="5">
								<bold>Changes of emotional state</bold>
								<bold>(</bold>
								<italic>Mean &#xb1; SD)</italic>
							</td>
							<td align="left">
								<italic>Anxiety</italic>
							</td>
							<td align="center"> 2.72 &#xb1; 1.31</td>
							<td align="center">
								<bold>2.92 &#xb1; 1.30</bold>
								<sup>##</sup>
							</td>
							<td align="center">
								<bold>2.39 &#xb1; 1.25</bold>
							</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Boredom</italic>
							</td>
							<td align="center"> 2.52 &#xb1; 1.31</td>
							<td align="center"> 2.56 &#xb1; 1.31</td>
							<td align="center"> 2.46 &#xb1; 1.30</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Sadness</italic>
							</td>
							<td align="center"> 2.55 &#xb1; 1.26</td>
							<td align="center">
								<bold>2.75 &#xb1; 1.25</bold>
								<sup>##</sup>
							</td>
							<td align="center">
								<bold>2.23 &#xb1; 1.22</bold>
							</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Irritability</italic>
							</td>
							<td align="center"> 2.51 &#xb1; 1.25</td>
							<td align="center">
								<bold>2.63 &#xb1; 1.27</bold>
								<sup>##</sup>
							</td>
							<td align="center">
								<bold>2.31 &#xb1; 1.20</bold>
							</td>
						</tr>
						<tr>
							<td align="left">
								<italic>Sleep disorders</italic>
							</td>
							<td align="center"> 2.84 &#xb1; 1.44</td>
							<td align="center">
								<bold>2.99 &#xb1; 1.44</bold>
								<sup>##</sup>
							</td>
							<td align="center"> 2.59 &#xb1; 1.40</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<p>Overall, changes in diet were detected (<xref ref-type="table" rid="t2">Table 2</xref>), observing a rise in the number of participants who increased their consumption of pulses, fruits and vegetables, fish, dairy products, just as no recommended products like savory snacks and bakery goods. Conversely, several participants reduced the intake of red and cured meat, precooked products and fast food.</p>
			<p>No significant differences in BMI and nutritional knowledge were detected for healthy and unhealthy scores, result that it should be highlighted. Nevertheless, the group that perceived worse eating habits during the lockdown obtained significant lower marks in the healthy score (0.49 &#xb1;0.17; 0.534 &#xb1;0.123; 0.651 &#xb1;0.157 (perceived worsening, no change and perceived improvement, respectively); p&lt;0.001) and unhealthy score (0.386 &#xb1;0168; 0.544 &#xb1;0.149; 0.651 &#xb1;0.175 (perceived worsening, no change and perceived improvement, respectively; p&lt;0.001). Additionally, a positive correlation between both scores (r=0.205; p&lt;0.001) was found. Moreover, participants who increased their PA were significantly younger than those who reduced it (42.7&#xb1;12.7 and 45.4&#xb1;11.8 y, respectively; p&lt;0.001). </p>
			<p>Regarding the relationship between dietary patterns and PA, it was observed that, those who had increased their training during the lockdown obtained higher eating scores than those who reduced their PA, for both healthy (0.584 &#xb1;0.154 vs. 0.547 &#xb1;0.16 (increased vs. decreased PA); p&lt;0.001) and unhealthy scores (0.576 &#xb1;0.184 vs. 0.529 &#xb1;0.182 (increased vs. decreased PA); p&lt;0.001).</p>
			<p>All emotional markers were positively correlated with each other (p&lt;0.001), and a strong correlation between anxiety (anx.), irritability (irr.) and sadness (sad.) was detected (r=0.578 (anx.-irr.), 0.626 (anx.-sad.) and 0.569 (irr.-sad.). Additionally, a negative correlation between age and all emotional indicators was also found (p&lt;0.001).</p>
			<sec id="sec4.1">
				<title>Emotional eating</title>
				<p>The effect of the emotional changes on the dietary patterns was asked, showing gender differences (p&lt;0.001), where a greater proportion of women declared that emotional changes influenced negatively their eating habits (33% women vs. 25% men). </p>
				<p>In fact, women ticked proportionally more the attitudes related to emotional eating: <italic>&#x201c;I have lost my appetite due to anxiety, sadness...&#x201d;</italic> (10.1% vs. 4.8%; p&lt;0.001), <italic>&#x201c;It is difficult for me to control the amount of hyperpalatable food (sweets, fried snacks, etc.) that I eat</italic>&#x201d; (20.1% vs. 14.5%; p&lt;0.01), <italic>&#x201c;I eat more because of anxiety, boredom, etc.&#x201d;</italic> (31.7% vs. 27.0%; p&lt;0.05). Besides, a greater proportion of women adopted more <italic>&#x201c;snacking&#x201d;</italic> behaviors (22.2%) than men (16.2%) during the lockdown (p&lt;0.01). </p>
				<p>A negative correlation between EE score and changes on ES has been observed, especially for boredom (r= -0.269; p&lt;0.001), anxiety (r= -0.246; p&lt;0.001) and irritability (r=-0.219; p&lt;0.001). As well, EE score showed a positive correlation with the healthy score (r=0.114; p&lt;0.001) and unhealthy score (r=0.338; p&lt;0.001). In fact, more emotional eating behaviors were found for a higher intake of savory snacks, bakery products and sweet snacks (p&lt;0.001), as shown in <xref ref-type="table" rid="t3">Table 3</xref>. </p>
				<table-wrap id="t3">
					<label>Table 3</label>
					<caption>
						<title>Emotional eating score, anxiety and boredom levels according to hyperpalatable food consumption</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="left" colspan="2" rowspan="2">  </th>
								<th align="center" colspan="3">Savory snacks </th>
								<th align="center" colspan="3">Sweet snacks </th>
								<th align="center" colspan="3">Bakery products </th>
							</tr>
							<tr>
								<th align="center">Lower intake </th>
								<th align="center">No change </th>
								<th align="center">Higher intake</th>
								<th align="center">Lower intake</th>
								<th align="center">No change</th>
								<th align="center">Higher intake</th>
								<th align="center">Lower intake</th>
								<th align="center">No change</th>
								<th align="center">Higher intake</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left" rowspan="3">
									<bold>EE score</bold>
								</td>
								<td align="left">Total</td>
								<td align="center">0.881&#xb1;0.24</td>
								<td align="center">0.853&#xb1;0.27</td>
								<td align="center">0.537&#xb1;0.39<sup>***</sup>
								</td>
								<td align="center">0.876&#xb1;0.24</td>
								<td align="center">0.841&#xb1;0.28</td>
								<td align="center">0.468&#xb1;0.38<sup>***</sup>
								</td>
								<td align="center">0.866&#xb1;0.26</td>
								<td align="center">0.826&#xb1;0.29</td>
								<td align="center">0.595&#xb1;0.39<sup>***</sup>
								</td>
							</tr>
							<tr>
								<td align="left">Women</td>
								<td align="center">
									<bold>0.882&#xb1;0.22</bold>
								</td>
								<td align="center">
									<bold>0.848&#xb1;0.27</bold>
								</td>
								<td align="center">
									<bold>0.507&#xb1;0.38</bold>
									<sup>***</sup>
								</td>
								<td align="center">
									<bold>0.886&#xb1;0.22</bold>
								</td>
								<td align="center">
									<bold>0.830&#xb1;0.29</bold>
								</td>
								<td align="center">
									<bold>0.450&#xb1;0.38</bold>
									<sup>***</sup>
								</td>
								<td align="center">
									<bold>0.855&#xb1;0.27</bold>
								</td>
								<td align="center">
									<bold>0.816&#xb1;0.29</bold>
								</td>
								<td align="center">
									<bold>0.593&#xb1;0.39</bold>
									<sup>***</sup>
								</td>
							</tr>
							<tr>
								<td align="left">Men</td>
								<td align="center">0.879&#xb1;0.25</td>
								<td align="center">0.860&#xb1;0.26</td>
								<td align="center">0.602&#xb1;0.31<sup>***</sup>
								</td>
								<td align="center">0.862&#xb1;0.26</td>
								<td align="center">0.858&#xb1;0.26</td>
								<td align="center">0.513&#xb1;0.40<sup>***</sup>
								</td>
								<td align="center">0.882&#xb1;0.25</td>
								<td align="center">0.839&#xb1;0.28</td>
								<td align="center">0.604&#xb1;0.31<sup>***</sup>
								</td>
							</tr>
							<tr>
								<td align="left" rowspan="3">
									<bold>Anxiety</bold>
								</td>
								<td align="left">Total</td>
								<td align="center">2.72&#xb1;1.35</td>
								<td align="center">2.52&#xb1;1.29</td>
								<td align="center">3.10&#xb1;1.22<sup>***</sup>
								</td>
								<td align="center">2.71&#xb1;1.34</td>
								<td align="center">2.54&#xb1;1.27</td>
								<td align="center">3.22&#xb1;1.25<sup>***</sup>
								</td>
								<td align="center">2.67&#xb1;1.34</td>
								<td align="center">2.62&#xb1;1.29</td>
								<td align="center">2.95&#xb1;1.28<sup>**</sup>
								</td>
							</tr>
							<tr>
								<td align="left">Women</td>
								<td align="center">2.92&#xb1;1.37</td>
								<td align="center">2.72&#xb1;1.30</td>
								<td align="center">3.26&#xb1;1.17<sup>**</sup>
								</td>
								<td align="center">
									<bold>2.91&#xb1;1.34</bold>
								</td>
								<td align="center">
									<bold>2.72&#xb1;1.27</bold>
								</td>
								<td align="center">
									<bold>3.39&#xb1;1.20</bold>
									<sup>***</sup>
								</td>
								<td align="center">2.89&#xb1;1.35</td>
								<td align="center">2.83&#xb1;1.31</td>
								<td align="center">3.09&#xb1;1.24</td>
							</tr>
							<tr>
								<td align="left">Men</td>
								<td align="center">
									<bold>2.43&#xb1;1.26</bold>
								</td>
								<td align="center">
									<bold>2.23&#xb1;1.22</bold>
								</td>
								<td align="center">
									<bold>2.76&#xb1;1.25</bold>
									<sup>*</sup>
								</td>
								<td align="center">
									<bold>2.43&#xb1;1.28</bold>
								</td>
								<td align="center">
									<bold>2.28&#xb1;1.21</bold>
								</td>
								<td align="center">
									<bold>2.78&#xb1;1.28</bold>
									<sup>*</sup>
								</td>
								<td align="center">2.36&#xb1;1.27</td>
								<td align="center">2.35&#xb1;1.22</td>
								<td align="center">2.57&#xb1;1.31</td>
							</tr>
							<tr>
								<td align="left" rowspan="3">
									<bold>Boredom</bold>
								</td>
								<td align="left">Total</td>
								<td align="center">2.44&#xb1;1.30</td>
								<td align="center">2.31&#xb1;1.24</td>
								<td align="center">2.99&#xb1;1.33<sup>***</sup>
								</td>
								<td align="center">2.50&#xb1;1.30</td>
								<td align="center">2.34&#xb1;1.27</td>
								<td align="center">3.04&#xb1;1.29<sup>***</sup>
								</td>
								<td align="center">2.37&#xb1;1.29</td>
								<td align="center">2.43&#xb1;1.29</td>
								<td align="center">2.83&#xb1;1.31<sup>***</sup>
								</td>
							</tr>
							<tr>
								<td align="left">Women</td>
								<td align="center">
									<bold>2.46&#xb1;1.33</bold>
								</td>
								<td align="center">
									<bold>2.34&#xb1;1.23</bold>
								</td>
								<td align="center">
									<bold>3.00&#xb1;1.32</bold>
									<sup>***</sup>
								</td>
								<td align="center">
									<bold>2.48&#xb1;1.33</bold>
								</td>
								<td align="center">
									<bold>2.35&#xb1;1.25</bold>
								</td>
								<td align="center">
									<bold>3.10&#xb1;1.28</bold>
									<sup>***</sup>
								</td>
								<td align="center">
									<bold>2.43&#xb1;1.32</bold>
								</td>
								<td align="center">
									<bold>2.45&#xb1;1.28</bold>
								</td>
								<td align="center">
									<bold>2.81&#xb1;1.33</bold>
									<sup>**</sup>
								</td>
							</tr>
							<tr>
								<td align="left">Men</td>
								<td align="center">2.41&#xb1;1.25</td>
								<td align="center">2.27&#xb1;1.24</td>
								<td align="center">2.99&#xb1;1.36<sup>***</sup>
								</td>
								<td align="center">2.53&#xb1;1.27</td>
								<td align="center">2.33&#xb1;1.29</td>
								<td align="center">2.88&#xb1;1.30<sup>*</sup>
								</td>
								<td align="center">2.30&#xb1;1.24</td>
								<td align="center">2.40&#xb1;1.31</td>
								<td align="center">2.88&#xb1;1.28<sup>***</sup>
								</td>
							</tr>
							<tr>
								<td align="left" colspan="11">EE: Emotional Eating; Results expressed in mean &#xb1; SD; *Significant differences between consumption changes ANOVA Bonferroni Post Hoc test (*p&lt;0.05; **p&lt;0.01; ***p&lt;0.001) are shown in bold.</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn id="TFN2">
							<p>Source: Own elaboration from the collected data.</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</sec>
		</sec>
		<sec id="sec5" sec-type="discussion">
			<title>Discussion</title>
			<p>The COVID-19 pandemic has brought about a global health crisis which led to the application of severe restrictive measures on the general population like confinement. Previous outbreaks like SARS o MERS showed that people under isolation can develop psychological disorders (<xref ref-type="bibr" rid="B24">Ko <italic>et al</italic>., 2006</xref>; <xref ref-type="bibr" rid="B48">Reynolds <italic>et al</italic>., 2008</xref>; <xref ref-type="bibr" rid="B28">Lam <italic>et al</italic>., 2009</xref>; <xref ref-type="bibr" rid="B35">Mak <italic>et al</italic>., 2009</xref>; <xref ref-type="bibr" rid="B22">Jeong <italic>et al</italic>., 2016</xref>; <xref ref-type="bibr" rid="B62">Yoon <italic>et al</italic>., 2016</xref>) which may lead to other health problems, as alcohol dependence (<xref ref-type="bibr" rid="B60">Wu <italic>et al</italic>., 2008</xref>), besides the possible effect on physical activity and diet. For this reason, health organizations (<ext-link ext-link-type="uri" xlink:href="https://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/publications-and-technical-guidance/food-and-nutrition-tips-during-self-quarantine">https://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/publications-and-technical-guidance/food-and-nutrition-tips-during-self-quarantine</ext-link>; <xref ref-type="bibr" rid="B1">Academia Espa&#xf1;ola de Nutrici&#xf3;n y Diet&#xe9;tica y el Consejo General de Colegios Oficiales de Dietistas-Nutricionistas, 2020</xref>) specifically established health and nutrition recommendations for a self-quarantine situation during the COVID-19 outbreak. </p>
			<p>According to our study conducted with workers telecommuting from CSIC, it seems that these recommendations, in general, were followed, since a tendency for a greater intake of fruits, vegetables, pulses, and a decreased consumption of pre-cooked meals, red and cured meat, and fast food was identified. Our findings correspond with similar studies during the COVID-19 confinement in Spanish adults (<xref ref-type="bibr" rid="B27">Laguna <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B32">L&#xf3;pez-Moreno <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B45">P&#xe9;rez-Rodrigo <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B50">Rodr&#xed;guez-P&#xe9;rez <italic>et al</italic>., 2020</xref>) and other Mediterranean countries (<xref ref-type="bibr" rid="B54">Scarmozzino and Visioli 2020</xref>). Some authors reported an increase in the consumption of fruits, vegetables and pulses during confinement that was related to motivations of health or weight control, lower price and long shelf-life (in the case of pulses and canned goods), whereas the decrease in non-perishable ready meals was associated its unhealthy profile (<xref ref-type="bibr" rid="B27">Laguna <italic>et al</italic>., 2020</xref>) and more available time for cooking (<xref ref-type="bibr" rid="B27">Laguna <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B54">Scarmozzino and Visioli, 2020</xref>).</p>
			<p>Regarding PA, several studies conducted in Spanish population (<xref ref-type="bibr" rid="B2">Balluerka <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B19">Garre-Olmo <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B31">L&#xf3;pez-Bueno <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B50">Rodr&#xed;guez-P&#xe9;rez <italic>et al</italic>., 2020</xref>) found out that ~50% of the people exercised less during COVID-19 lockdown, results matching with those presented here. It is worth noting that the participants with worse eating scores, women and young people, were the ones who declared an increase in their PA routine during the confinement. This trend was also observed by <xref ref-type="bibr" rid="B18">Garc&#xed;a-Tasc&#xf3;n <italic>et al</italic>. (2020)</xref>, who hypothesized that men are more likely to exercise for social, ludic and competitive reasons, while women prefer non-competitive and relaxed sports and, hence, they were able to adapt exercise at home easily. These statements are in line with the study conducted by <xref ref-type="bibr" rid="B53">S&#xe1;nchez-S&#xe1;nchez <italic>et al</italic>. (2020)</xref>, who indicated that men invested more time in exercising before the lockdown than women, whereas during confinement, men have decreased more their training routine than women. Therefore, it seems that men adapted worse their PA practice at home.</p>
			<p>Another relevant possible effect of the COVID-19 pandemic over the population is the emotional changes that this situation may trigger. Psychological symptoms such as anxiety, depression or poor sleep quality, have been described during the COVID-19 outbreak in adults (<xref ref-type="bibr" rid="B2">Balluerka <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B8">Chac&#xf3;n-Fuertes, Fern&#xe1;ndez Hermida, and Garc&#xed;a Vera, 2020</xref>; <xref ref-type="bibr" rid="B13">DiRenzo <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B19">Garre-Olmo <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B21">Ingram, Maciejewski, and Hand, 2020</xref>; <xref ref-type="bibr" rid="B23">Jim&#xe9;nez-Pav&#xf3;n, Carbonell-Baeza, and Lavie, 2020</xref>; <xref ref-type="bibr" rid="B37">Moccia <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B43">Ozamiz-Etxebarria <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B47">Rajkumar, 2020</xref>; <xref ref-type="bibr" rid="B3">Beck <italic>et al</italic>., 2021</xref>), as well as in previous outbreaks like SARS in 2003 (<xref ref-type="bibr" rid="B20">Hawryluck <italic>et al</italic>., 2004</xref>; <xref ref-type="bibr" rid="B24">Ko <italic>et al</italic>., 2006</xref>; <xref ref-type="bibr" rid="B60">Wu <italic>et al</italic>., 2008</xref>; <xref ref-type="bibr" rid="B28">Lam <italic>et al</italic>., 2009</xref>; <xref ref-type="bibr" rid="B35">Mak <italic>et al</italic>., 2009</xref>) or MERS-CoV in 2012 (<xref ref-type="bibr" rid="B22">Jeong <italic>et al</italic>., 2016</xref>; <xref ref-type="bibr" rid="B62">Yoon <italic>et al</italic>., 2016</xref>). Several factors related to the emotional impact caused by COVID-19 pandemic on the population have been described. For instance, the concern for oneself infection or their relatives (<xref ref-type="bibr" rid="B2">Balluerka <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B57">Wang <italic>et al</italic>., 2020</xref>) or an adverse work situation, especially for those whose economy may be compromised (<xref ref-type="bibr" rid="B19">Garre-Olmo <italic>et al</italic>., 2020</xref>), could be the origin of emotional alterations. In this sense, CSIC participants did not jeopardize their job during the COVID-19 crisis, but they experienced emotional changes, especially sleep disorders and anxiety. According to <xref ref-type="bibr" rid="B19">Garre-Olmo <italic>et al</italic>. (2020)</xref>, changing work conditions, including telecommuting, is associated with depressive symptoms, which was the situation of the majority of our participants. Moreover, young participants experienced more changes in ES than older workers did. Similar results have been reported in other studies (<xref ref-type="bibr" rid="B2">Balluerka <italic>et al</italic>., 2020</xref>; ; <xref ref-type="bibr" rid="B13">DiRenzo <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B43">Ozamiz-Etxebarria <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B46">Qiu <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B3">Beck <italic>et al</italic>., 2021</xref>). The effect of overload information or <italic>infodemic</italic> could be a possible explanation to this behavior, which has been pointed out as a cause of anxiety and depression (<xref ref-type="bibr" rid="B13">DiRenzo <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B16">Gao <italic>et al</italic>., 2020</xref>), especially in young people who are usually more exposed to social media (<xref ref-type="bibr" rid="B46">Qiu <italic>et al</italic>., 2020</xref>). Lastly, women have shown more anxiety, sadness, sleep disorders and irritability than men have. Even though, <xref ref-type="bibr" rid="B43">Ozamiz-Etxebarria <italic>et al</italic>. (2020)</xref> described more depressive symptoms in men and similar levels of stress and anxiety in relation to gender. However, other studies reported more emotional changes in women (<xref ref-type="bibr" rid="B2">Balluerka <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B13">DiRenzo <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B32">L&#xf3;pez-Moreno <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B46">Qiu <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B57">Wang <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B3">Beck <italic>et al</italic>., 2021</xref>). For instance, <xref ref-type="bibr" rid="B41">Navas-Mart&#xed;n <italic>et al</italic>. (2021)</xref> highlighted the greater impact on habit changes, especially those related to home care, in women and people living with children. According to <xref ref-type="bibr" rid="B38">Moscoso-S&#xe1;nchez (2020)</xref>, this could be related to the women&#x2019;s triple role (reproductive, housekeeping and work outside the home) that still prevails. </p>
			<p>Furthermore, some authors linked psychological behaviors such as emotional eating (<xref ref-type="bibr" rid="B42">Nonogaki, Nozue and Oka, 2007</xref>; <xref ref-type="bibr" rid="B49">Rodr&#xed;guez-Mart&#xed;n and Meule 2015</xref>; <xref ref-type="bibr" rid="B15">Ferrell <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B61">Yilmaz and G&#xf6;kmen, 2020</xref>); or alcohol use (<xref ref-type="bibr" rid="B4">Boscarino, Adams, and Galea, 2006</xref>; <xref ref-type="bibr" rid="B60">Wu <italic>et al</italic>., 2008</xref>; <xref ref-type="bibr" rid="B29">Lebeaut, Tran, and Vujanovic, 2020</xref>; <xref ref-type="bibr" rid="B52">Sallie <italic>et al</italic>., 2020</xref>) as strategies to cope with stressful situations. In fact, after the SARS outbreak <xref ref-type="bibr" rid="B60">Wu <italic>et al</italic>. (2008)</xref> reported an association between individuals who were in quarantine, with later alcohol abuse or dependence symptoms. Our results showed that 23% of the participants decreased their alcohol consumption while 20% increased it during the confinement, in accordance with other recent studies (<xref ref-type="bibr" rid="B2">Balluerka <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B32">L&#xf3;pez-Moreno <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B52">Sallie <italic>et al</italic>., 2020</xref>). Additionally, the mean age of those who increased their alcohol consumption (45.4&#xb1;11.3y) was higher than those who decreased it (40.2&#xb1;13.6y), findings concurring with those presented by <xref ref-type="bibr" rid="B52">Sallie <italic>et al</italic>. (2020)</xref>, who postulated that older individuals, parents with children, essential workrs, people with depressive and anxiety symptoms or an impulsive personality might have a greater risk for alcohol misuse.</p>
			<p>Concerning EE, our results showed a greater intake of snacks during the lockdown, which is in line with consumer reports from grocery stores (<xref ref-type="bibr" rid="B33">Los espa&#xf1;oles confinados picotean hasta un 50% m&#xe1;s</xref>; <xref ref-type="bibr" rid="B14">El ticket medio recupera la estabilidad. &#xbf;C&#xf3;mo evolucionan las compras de alimentaci&#xf3;n y bebidas en el confinamiento?</xref>) and other investigations (<xref ref-type="bibr" rid="B27">Laguna <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B40">Naja and Hamadeh, 2020</xref>; <xref ref-type="bibr" rid="B51">Ruiz-Roso <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B53">S&#xe1;nchez-S&#xe1;nchez <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B54">Scarmozzino and Visioli, 2020</xref>; <xref ref-type="bibr" rid="B55">Sidor and Rzymski, 2020</xref>) during the same situation. This could be related to the fact that negative emotions can trigger the intake of energy-dense food, such as snacks or sweets (<xref ref-type="bibr" rid="B34">Macht, 2008</xref>; <xref ref-type="bibr" rid="B6">Camilleri <italic>et al</italic>., 2014</xref>; <xref ref-type="bibr" rid="B10">Clum <italic>et al</italic>., 2014</xref>; <xref ref-type="bibr" rid="B9">Charbonnier <italic>et al</italic>., 2015</xref>). Additionally, women showed an overall greater consumption of these products in our study, as it has been recently reported (<xref ref-type="bibr" rid="B2">Balluerka <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B45">P&#xe9;rez-Rodrigo <italic>et al</italic>., 2020</xref>). This behavior could be associated with higher anxiety levels experienced in women, who increased their savory and sweet snacks intake during the lockdown. In fact, it seems that emotional changes have a greater influence on eating behaviors in women, as 33% of them in our study declared that emotions exert a negative effect on their diet vs. 25% of men. These findings are supported by the results of <xref ref-type="bibr" rid="B32">L&#xf3;pez-Moreno <italic>et al</italic>. (2020)</xref>.</p>
			<p>Diverse hypotheses correlate specific eating behaviors with higher levels of stress and negative emotions. Physiologically, food intake is suppressed under stress-induced psychological changes due to the activation of the sympathetic nervous system, which may interfere with digestion processes such as gastrointestinal transit or by delaying glucose absorption (<xref ref-type="bibr" rid="B56">Tsigos <italic>et al</italic>., 2000</xref>). However, overeating behavior under negative emotions or stress conditions has well been reported. The reason for these mixed behaviors is a complex problem still unresolved and may involve physiological, behavioral, emotional and cognitive mechanisms (<xref ref-type="bibr" rid="B34">Macht, 2008</xref>; <xref ref-type="bibr" rid="B13">DiRenzo <italic>et al</italic>., 2020</xref>; <xref ref-type="bibr" rid="B39">Muscogiuri <italic>et al</italic>., 2020</xref>). Thus, food-induced emotion may affect the control of food choice, where energy-dense foods usually rich in fat and sugar, would evoke positive affective responses causing a greater intake, whereas bitter compounds would provoke the opposite effect (<xref ref-type="bibr" rid="B9">Charbonnier <italic>et al</italic>., 2015</xref>). Another class of emotion-induced changes that could trigger overeating is the impairment of cognitive eating controls. Lastly, a learning perspective could be the motive in which eating would be used as a strategy to regulate emotions. In this case, the learning process would involve the negative emotions as the stimuli and eating palatable food as the operant behavior, which would result in a reduction of the negative emotions due to the mood-elevating effect of this kind of food. The repetition of this behavior may reinforce it and might be used to cope with negative emotions (<xref ref-type="bibr" rid="B49">Rodr&#xed;guez-Mart&#xed;n and Meule, 2015</xref>). For instance, in the study of <xref ref-type="bibr" rid="B13">DiRenzo <italic>et al</italic>. (2020)</xref> about the relationship between eating habits, mental and emotional mood among the Italian population, almost half of the participants claimed that they used food when they felt anxious as a tool to feel better. </p>
			<p>Regarding the effect of boredom on EE, <xref ref-type="bibr" rid="B25">Koball <italic>et al</italic>. (2012)</xref> pointed out that boredom should be considered in a separate dimension of EE, since the eating response, which triggers is different from the response activated by other emotions. This may explain why our results did not show gender differences when participants felt bored. <xref ref-type="bibr" rid="B27">Laguna <italic>et al</italic>. (2020)</xref> suggested that the lockdown forced the population to transfer the usual leisure activities to home, which would raise the intake of snacks and homemade bakery. In fact, higher levels of boredom were associated with the intake of bakery goods and all kinds of snacks (<xref ref-type="bibr" rid="B39">Muscogiuri <italic>et al</italic>. 2020</xref>). Moreover, according to consumer reports (<xref ref-type="bibr" rid="B12">Cotos 2020</xref>; <ext-link ext-link-type="uri" xlink:href="https://www.revistainforetail.com/noticiadet/el-ticket-medio-recupera-la-estabilidad/738fe8425e3be42b8b685a0751b23265">https://www.revistainforetail.com/noticiadet/el-ticket-medio-recupera-la-estabilidad/738fe8425e3be42b8b685a0751b23265</ext-link>) the sales of products related to homemade bakery and appetizers remarkably increased, reaching even to be sold out during the confinement. </p>
			<p>This study presents some limitations as the possible bias owing to the self-reported data. In addition, this kind of online questionnaires cannot be excessively longer because of the risk of a low engagement level. </p>
			<p>Our study was designed to explore the effect of the lockdown during the first and more severe period. For this reason, the data cannot be considered representative, not being possible, for instance, to determine in a deeper level the gender differences regarding the home care. A longer study targeting the same population in different stages of the pandemic, as the inclusion of other variables, would have contribute to establish stronger and additional correlations. </p>
			<p>The strength of this study is the large representation of all CSIC centers and the notable number of participants considering the total CSIC workers.</p>
		</sec>
		<sec id="sec6" sec-type="conclusions">
			<title>Conclusions</title>
			<p>The COVID-19 health crisis and the <italic>ad doc</italic> lockdown measures implemented in Spain seem to cause a negative effect on CSIC workers&#x2019; lifestyles, especially from a psychological status point of view. This work shows the effects of the lockdown on a specific population, which did not have risk of losing their jobs, but had to change their working conditions to a telecommuting mode. </p>
			<p>Despite emotional changes were detected, a general improvement in the dietary patterns was identified, probably owing to an increased health concern and more available time for cooking. However, the intake of unhealthy products such as snacks and bakery goods seem to have increased during the confinement, especially in women. This consumption could be associated with greater emotional changes in women, particularly for anxiety, and the strategies adopted by them to cope with these emotional alterations. In this way, emotional eating behaviors, like snacking, lack of control over the consumption of hyperpalatable food and intake related to emotions, have been associated with greater levels of anxiety. In addition, it should be highlighted that in a context where food is undoubtedly involved in Spanish leisure activities, it is not surprising the link of boredom and a greater intake of snacks and bakery products.</p>
			<p>Moreover, the mobility restrictions established during confinement had a great effect on the practice of physical activity that was reduced in almost half of the population. In addition, it seems that men adapted their PA practice worse to the confinement situation, possibly due to the type of sport practiced before the pandemic. </p>
			<p>Further investigations are needed to determine the long-term effects of COVID-19 lockdown on the population&#x2019;s lifestyles. Therefore, our study provides initial information about how the lockdown influenced this specific population and then develop future interventions to mitigate it.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgments</title>
			<p>The authors thank all the anonymous individuals for their participation in this COVID-19-specific research and all the CSIC workers involved in the dissemination of the online questionnaire.</p>
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