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<front>
<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.2021.589809</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Examining Working Memory Performance in Adult Psychosomatic Inpatients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Held</surname> <given-names>Judith</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ramadani</surname> <given-names>Laura</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>V&#x00EE;sl&#x0103;</surname> <given-names>Andreea</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/310328/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>K&#x00F6;llner</surname> <given-names>Volker</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hilpert</surname> <given-names>Peter</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/344603/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Fl&#x00FC;ckiger</surname> <given-names>Christoph</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/905610/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Psychological Interventions and Psychotherapy, University of Zurich</institution>, <addr-line>Zurich</addr-line>, <country>Switzerland</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Psychosomatic Medicine, Rehabilitation Center Seehof, Federal German Pension Agency</institution>, <addr-line>Teltow</addr-line>, <country>Germany</country></aff>
<aff id="aff3"><sup>3</sup><institution>Research Group Psychosomatic Rehabilitation, Charit&#x00E9; &#x2013; University Medicine Berlin</institution>, <addr-line>Berlin</addr-line>, <country>Germany</country></aff>
<aff id="aff4"><sup>4</sup><institution>School of Psychology, University of Surrey</institution>, <addr-line>Surrey</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Antoine Bechara, University of Southern California, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Laura Ros, University of Castilla-La Mancha, Spain; Whitney Fosco, Penn State Milton S. Hershey Medical Center, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Christoph Fl&#x00FC;ckiger, <email>christoph.flueckiger@uzh.ch</email></corresp>
<fn fn-type="other" id="fn004"><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>16</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>589809</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>09</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>07</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Held, Ramadani, V&#x00EE;sl&#x0103;, K&#x00F6;llner, Hilpert and Fl&#x00FC;ckiger.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Held, Ramadani, V&#x00EE;sl&#x0103;, K&#x00F6;llner, Hilpert and Fl&#x00FC;ckiger</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>There is cumulating evidence that working memory (WM) processing is impaired in individuals suffering from a psychosomatic and a psychological disorder. However, it is unclear how repetitive negative thinking (RNT), depressive symptoms, and patient characteristics (i.e., age and incapability to work) contribute to WM impairments. The present study examines how these factors affect WM performance in highly distressed adult psychosomatic inpatients.</p>
</sec>
<sec>
<title>Methods</title>
<p>Seventy-six inpatients (<italic>M</italic><sub>age</sub> = 52.7, SD = 8.4) from a psychosomatic rehabilitation clinic performed a two-block WM updating task, with accuracy and reaction time as indicators of WM functioning.</p>
</sec>
<sec>
<title>Results</title>
<p>Multivariate mixed effect model results show that accuracy and reaction time significantly decreased from WM Block 1 to WM Block 2. Higher levels of RNT, more severe depressive symptoms and higher age were associated with worse WM accuracy in Block 1. None of these variables were significantly associated with WM reaction time (in Block 1).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>From a clinical perspective, the results suggest that screening for the presence of high RNT levels, severe depressive symptoms or higher age may help to identify patients with impaired WM functioning and to intervene on these important patient characteristics early in the rehabilitation process.</p>
</sec>
</abstract>
<kwd-group>
<kwd>working memory</kwd>
<kwd>repetitive negative thinking</kwd>
<kwd>anxiety</kwd>
<kwd>psychosomatic</kwd>
<kwd>rehabilitation</kwd>
</kwd-group>
<contract-num rid="cn001">PP00P1_163702</contract-num>
<contract-num rid="cn001">PP00P1_190083</contract-num>
<contract-sponsor id="cn001">Schweizerischer Nationalfonds zur F&#x00F6;rderung der Wissenschaftlichen Forschung<named-content content-type="fundref-id">10.13039/501100001711</named-content></contract-sponsor>
<counts>
<fig-count count="0"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="6"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>Mental disorders are common in individuals suffering from chronical physical conditions, with symptoms of depression being most prevalent (<xref ref-type="bibr" rid="B6">Desch&#x00EA;nes et al., 2015</xref>). Particularly psychosomatic diagnoses have been found to be the most common cause of disability pensions in the past years (<xref ref-type="bibr" rid="B5">Dannenberg et al., 2010</xref>). As a result, early retirement or extensive psychosocial and vocational rehabilitation programs may be necessary in order to restore work capacity and well-being (<xref ref-type="bibr" rid="B16">K&#x00F6;llner, 2014</xref>; <xref ref-type="bibr" rid="B19">Linden, 2014</xref>).</p>
<p>Connected to this notion, cognitive functions, such as the working memory (WM) have been found to be impaired in a range of psychosomatic and mental disorders. The WM is a prominent system central to cognitive functioning with limited capacity and is, therefore, restricted in how much information can be actively held in WM (<xref ref-type="bibr" rid="B9">Eriksson et al., 2015</xref>). Recent evidence indicates that the WM is frequently impaired in psychosomatic disorders (<xref ref-type="bibr" rid="B12">Haley et al., 2008</xref>; <xref ref-type="bibr" rid="B29">Schmitz et al., 2008</xref>) as well as in mental disorders, including depression (<xref ref-type="bibr" rid="B30">Snyder, 2013</xref>) and anxiety (<xref ref-type="bibr" rid="B22">Moran, 2016</xref>). For example, <xref ref-type="bibr" rid="B33">Wagner et al. (2006)</xref> found cognitive impairments in 24% of the patients from a rehabilitation clinic who suffered from psychosomatic and mental disorders. These results highlight that especially in patients with psychosomatic disorders, impairments in WM functioning may be even more disabling, a fact that might further impact the rehabilitation process (<xref ref-type="bibr" rid="B33">Wagner et al., 2006</xref>; <xref ref-type="bibr" rid="B16">K&#x00F6;llner, 2014</xref>).</p>
<p>In the past decades, research has identified various factors contributing to WM impairments, one of them being repetitive negative thinking (RNT; <xref ref-type="bibr" rid="B30">Snyder, 2013</xref>; <xref ref-type="bibr" rid="B22">Moran, 2016</xref>; <xref ref-type="bibr" rid="B36">Zetsche et al., 2018</xref>) which has been found in a range of mental disorders (<xref ref-type="bibr" rid="B21">McEvoy et al., 2013</xref>) as well as in psychosomatic populations (<xref ref-type="bibr" rid="B31">Trick et al., 2016</xref>). RNT is characterized by repetitive thinking about negative topics which is experienced as difficult to control (<xref ref-type="bibr" rid="B7">Ehring and Watkins, 2008</xref>). It has been proposed that RNT occupies available WM capacities by acting as a dual task and thereby leading to impaired WM functioning (<xref ref-type="bibr" rid="B3">Beckw&#x00E9; et al., 2014</xref>; <xref ref-type="bibr" rid="B36">Zetsche et al., 2018</xref>). Indeed, WM impairments have been consistently observed in individuals suffering from a mental disorder when engaging in RNT (<xref ref-type="bibr" rid="B34">Watkins and Brown, 2002</xref>; <xref ref-type="bibr" rid="B14">Joormann and Gotlib, 2008</xref>; <xref ref-type="bibr" rid="B11">Gustavson and Miyake, 2015</xref>; <xref ref-type="bibr" rid="B27">Sari et al., 2016</xref>). However, to date, no study has investigated the effect of RNT of WM performance in psychosomatic populations.</p>
<p>In addition, a growing amount of evidence suggests that depressive symptomatology might be another relevant factor contributing to WM impairments (<xref ref-type="bibr" rid="B33">Wagner et al., 2006</xref>; <xref ref-type="bibr" rid="B30">Snyder, 2013</xref>). The majority of studies investigated outpatients with depressive disorders and found significant associations between depressive symptoms and WM deficits (<xref ref-type="bibr" rid="B4">Christopher and MacDonald, 2005</xref>; <xref ref-type="bibr" rid="B14">Joormann and Gotlib, 2008</xref>). However, to the best of our knowledge, only one study investigated the effects of depressive symptoms on WM performance in psychosomatic inpatients (<xref ref-type="bibr" rid="B33">Wagner et al., 2006</xref>). The results of this study indicated that subjective memory impairments were most pronounced in psychosomatic patients with depressive symptoms.</p>
<p>Taken together, although there is substantial evidence suggesting that WM impairments in individuals with mental disorders may result from interference with cognitive processes (i.e., RNT) and severe clinical symptoms (i.e., depression) there seems to be a lack of studies investigating these concepts in patients with psychosomatic disorders. The majority of studies investigated outpatients (<xref ref-type="bibr" rid="B14">Joormann and Gotlib, 2008</xref>) and it still unclear whether WM functioning is affected in psychosomatic inpatients or not. As pointed out above, many psychosomatic patients are adult individuals who are unable to work and therefore, considering these characteristics (age and inability to work), it might further be of importance to investigate WM performance. Moreover, the majority of participants in the past studies were either young adults (30&#x2013;40 years) or older patients (70 years) and therefore, we have limited information about how these mechanisms manifests in adults more generally (<xref ref-type="bibr" rid="B20">Mattay et al., 2006</xref>). Finally, few studies assessed WM performance in more than one WM block (i.e., assessing more than 15 min; <xref ref-type="bibr" rid="B27">Sari et al., 2016</xref>) and one advantage of using two blocks over the standard use of one block is the ability to examine the WM performance stability across the two block (<xref ref-type="bibr" rid="B28">Scharfen et al., 2018</xref>).</p>
</sec>
<sec id="S2">
<title>The Current Study</title>
<p>This study seeks to investigate WM performance in psychosomatic inpatients who referred to a psychosomatic rehabilitation clinic. All participants performed a WM task which consisted of two blocks (WM Block 1 and 2) lasting in total 30&#x2013;40 min. <italic>Block</italic> denotes a complete WM task which is usually performed by participants as a single task (e.g., <xref ref-type="bibr" rid="B27">Sari et al., 2016</xref>). WM performance was measured as accuracy and reaction time. First, we explore the change of accuracy and reaction time in WM from Block 1 to Block 2 (Research Question 1; RQ1). Second, we explore the potential relevance of cognitive factors (RNT), depressive symptom severity, age and incapability to work on accuracy and reaction time (RQ2).</p>
</sec>
<sec id="S3" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S3.SS1">
<title>Participants</title>
<p>Total sample included seventy-six inpatients (50 females) of the psychosomatic Rehabilitation Clinic Seehof in Germany which is a specialist clinic for cardiological, psychosomatic and psycho-cardiological rehabilitation (for more information, see <xref ref-type="supplementary-material" rid="TS1">Supplementary Material</xref>). During the weekly introduction seminar for new patients, information about the WM assessment was given and interested patients could sign up. Participation was not compensated in any form.</p>
<p>Patients were 52.7 years old (SD = 8.4, range: 30&#x2013;71 years) and stayed on average 39 days (SD = 8.2) in the clinic. In total, 60.5% indicated being incapable of work at intake. The majority of patients was admitted with an affective disorder (80%), followed by anxiety disorders (41%), adjustment disorder (20%), and somatoform disorder (22%), diagnosed according to the ICD-10 (<xref ref-type="bibr" rid="B35">World Health Organization, 2004</xref>). Psychological disorders co-occurred in 75% of the patients. 83% had at least one somatic disorder, the most prevalent somatic disorders included hypertension (22.3%), obesity (14.4%), tinnitus (6.5%), and migraine (5%).</p>
</sec>
<sec id="S3.SS2">
<title>Ethical Standards</title>
<p>This study protocol was approved by the ethical committee of the Federal Medical Association (&#x201C;Landes&#x00E4;rztekammer&#x201D;) of Brandenburg, Germany (AS119(bB)/2018). Participants were not compensated for participation.</p>
</sec>
<sec id="S3.SS3">
<title>Questionnaires</title>
<p>The Perseverative Thinking Questionnaire (PTQ) is a 15-item long content-independent measure of RNT (<xref ref-type="bibr" rid="B8">Ehring et al., 2011</xref>). The PTQ mean score in the present study was 38.6 (SD = 11.4, range 4 to 59), with higher scores representing a greater tendency to engage in RNT. Internal consistency in the present study was excellent (Cronbach&#x2019;s &#x03B1; = 0.95).</p>
<p>The Beck Depression Inventory (BDI) is based on 21 items and measures depression Severity (<xref ref-type="bibr" rid="B15">Keller et al., 2008</xref>). The BDI was assed at intake (<italic>M</italic> = 26, SD = 12.1, range: 1&#x2013;52). Internal consistency in the present study was excellent (BDI<sub>intake</sub>: Cronbach&#x2019;s &#x03B1; = 0.93).</p>
<p>In order to assess the subjective workload after each WM Block, the National Aeronautics and Space Administration Task Load Index (NASA-TLX; <xref ref-type="bibr" rid="B24">Pfendler, 1991</xref>) was administered. Five items assessing mental, physical and temporal demands, effort and frustration were rated on a Likert-scale ranging from 1 (&#x201C;not at all&#x201D;) to 5 (&#x201C;totally agree&#x201D;). Furthermore, for the purposes of the present study, the NASA-TLX was extended (extended NASA) with additional seven items (alert, interested, attentive, nervous, jittery, afraid, and distressed) of the Positive and Negative Affect Schedule (PANAS; <xref ref-type="bibr" rid="B17">Krohne et al., 1996</xref>). The items were rated on a five-point Likert-scale ranging from 1 (&#x201C;not at all&#x201D;) to 5 (&#x201C;very much&#x201D;).</p>
</sec>
<sec id="S3.SS4">
<title>Working Memory Task</title>
<p>A two-block numerical updating WM task (<xref ref-type="bibr" rid="B23">Oberauer et al., 2000</xref>) was used. In total, each WM block consisted of 150 trials and the two blocks were two alternate versions of the same updating task. The WM task was self-paced (for more information, see <xref ref-type="supplementary-material" rid="TS1">Supplementary Material</xref>). The updating task included math problems presenting three or four boxes with a number in each box (e.g., <inline-graphic xlink:href="fpsyg-12-589809-i001.jpg"/>).</p>
<p>In a next step, in one of the boxes, an arithmetic operation appeared (e.g., <inline-graphic xlink:href="fpsyg-12-589809-i002.jpg"/>) and participants were asked to perform the arithmetic operation and type in the result (<inline-graphic xlink:href="fpsyg-12-589809-i003.jpg"/> in the present example). After eight additional arithmetic operations participants were asked to type in the last number they recall (see <xref ref-type="bibr" rid="B13">Held et al., 2020</xref> for a more precise description of the task).</p>
</sec>
<sec id="S3.SS5">
<title>Procedure</title>
<p>Participants performed two WM blocks (Block 1 and 2) and filled out questionnaires at three time points (T1: before WM Block 1, T2: between WM Block 1 and 2, T3: after WM Block 2). First, participants filled out the informed consent form for study participation, as well as the PTQ and the extended NASA (T1). Next, the WM task was explained verbally by the experimenter and participants completed two practice trials. Afterward, the experimenter left the room and WM Block 1 was started. After Block 1, participants were asked to fill out the extended NASA (T2). Next, a text was presented on the screen telling participants to do their best and focus (focus reminder). By clicking a key, participants started WM Block 2. After the completion of WM Block 2, participants were again asked to fill out the extended NASA (T3). Afterward, the experimenter thanked participants for their participation and answered open questions.</p>
</sec>
<sec id="S3.SS6">
<title>Statistical Analysis</title>
<p>The main goal of the current study was to examine how RNT, depressive symptom severity and patient characteristics (age, duration of incapability of work) influence WM accuracy and reaction time in Block 1 as well as the change from Block 1 to Block 2. Multivariate multilevel models with a random intercept and a fixed slope were used to simultaneously analyse the two outcome variables (accuracy and reaction time) as well as the nested data structure (repeated measures nested in individuals). The intercept for the WM Blocks was centered at Block 1 and the slope indicates the average change in accuracy or reaction time from Block 1 to Block 2. The equations for the multilevel model and more details about the associations between all variables of interest can be found in the <xref ref-type="supplementary-material" rid="TS1">Supplementary Material</xref>. For all analyses we used <italic>nlme</italic> package (<xref ref-type="bibr" rid="B25">Pinheiro et al., 2021</xref>) for multilevel modeling in R (<xref ref-type="bibr" rid="B26">R Core Team, 2021</xref>).</p>
</sec>
</sec>
<sec id="S4">
<title>Results</title>
<p>Descriptive statistics and correlations of key variables are displayed in <xref ref-type="supplementary-material" rid="TS1">Supplementary Table 1A</xref>. To analyse the subjective workload as well as the emotional experiences during the assessment, each item from the extended NASA was analyzed individually in univariate multilevel models with a random intercept. Results indicate that from T1 (before Block 1) to T2 (after Block 1), patients felt significantly more alert [<italic>t</italic> (150) = 2.97, <italic>p</italic> = 0.003], more interested [<italic>t</italic> (150) = 2.35, <italic>p</italic> = 0.01], less afraid [<italic>t</italic> (150) = &#x2212;2.83, <italic>p</italic> = 0.005], less distressed [<italic>t</italic> (150) = &#x2212;2.79, <italic>p</italic> = 0.005], but also more jittery [<italic>t</italic> (148) = 2.10, <italic>p</italic> = 0.04; <xref ref-type="supplementary-material" rid="TS1">Supplementary Table 2A</xref>]. After Block 2 at T3, patients&#x2019; rating of physical demands and level of effort were significantly higher in comparison to T1 [physical demands: <italic>t</italic> (75) = 2.19, <italic>p</italic> = 0.03; effort: <italic>t</italic> (75) = 2.55, <italic>p</italic> = 0.01].</p>
<sec id="S4.SS1">
<title>Change in Accuracy and Reaction Time From Block 1 to 2 (RQ1)</title>
<p>Results indicate a significant decrease in accuracy from Block 1 to Block 2 [<italic>t</italic> (225) = &#x2212;2.05, <italic>p</italic> = 0.04], as well as in reaction time [<italic>t</italic> (225) = &#x2212;2.12, <italic>p</italic> = 0.03; <xref ref-type="table" rid="T1">Table 1</xref>]. In other words, patients became less accurate but increased their answering speed from Block 1 to Block 2.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Results of the multivariate growth model with random intercepts and fixed slope.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="2">Fixed effects</td>
<td valign="top" align="center" colspan="4">Accuracy<hr/></td>
<td valign="top" align="center" colspan="4">Reaction time<hr/></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">&#x03B3;</td>
<td valign="top" align="center">SE</td>
<td valign="top" align="center"><italic>t</italic></td>
<td valign="top" align="center"><italic>p</italic></td>
<td valign="top" align="center">&#x03B3;</td>
<td valign="top" align="center">SE</td>
<td valign="top" align="center"><italic>t</italic></td>
<td valign="top" align="center"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Empty model</td>
<td valign="top" align="center">Intercept</td>
<td valign="top" align="center">78.3</td>
<td valign="top" align="center">(1.65)</td>
<td valign="top" align="center">47.2</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">3,541.8</td>
<td valign="top" align="center">(126.35)</td>
<td valign="top" align="center">28.03</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Block</td>
<td valign="top" align="center">&#x2212;2.2</td>
<td valign="top" align="center">(1.07)</td>
<td valign="top" align="center">&#x2212;2.05</td>
<td valign="top" align="center">0.040</td>
<td valign="top" align="center">&#x2212;131.57</td>
<td valign="top" align="center">(48.63)</td>
<td valign="top" align="center">&#x2212;2.70</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" align="left">Model PTQ</td>
<td valign="top" align="center">Intercept</td>
<td valign="top" align="center">78.3</td>
<td valign="top" align="center">(1.61)</td>
<td valign="top" align="center">48.5</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">3,541.7</td>
<td valign="top" align="center">(125.25)</td>
<td valign="top" align="center">28.27</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Block</td>
<td valign="top" align="center">&#x2212;2.21</td>
<td valign="top" align="center">(1.08)</td>
<td valign="top" align="center">&#x2212;2.05</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">&#x2212;131.57</td>
<td valign="top" align="center">(48.94)</td>
<td valign="top" align="center">&#x2212;2.68</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">PTQ</td>
<td valign="top" align="center">&#x2212;0.36</td>
<td valign="top" align="center">(0.14)</td>
<td valign="top" align="center">1.61</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">17.43</td>
<td valign="top" align="center">(11.10)</td>
<td valign="top" align="center">1.56</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">PTQ &#x00D7; Block</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">(0.09)</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">&#x2212;1.06</td>
<td valign="top" align="center">(4.34)</td>
<td valign="top" align="center">&#x2212;0.24</td>
<td valign="top" align="center">0.80</td>
</tr>
<tr>
<td valign="top" align="left">Model BDI</td>
<td valign="top" align="center">Intercept</td>
<td valign="top" align="center">78.3</td>
<td valign="top" align="center">(1.55)</td>
<td valign="top" align="center">50.3</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">3,541.8</td>
<td valign="top" align="center">(125.78)</td>
<td valign="top" align="center">28.15</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Block</td>
<td valign="top" align="center">&#x2212;2.21</td>
<td valign="top" align="center">(1.07)</td>
<td valign="top" align="center">&#x2212;2.06</td>
<td valign="top" align="center">0.039</td>
<td valign="top" align="center">&#x2212;131.57</td>
<td valign="top" align="center">(48.94)</td>
<td valign="top" align="center">&#x2212;2.68</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">BDI</td>
<td valign="top" align="center">&#x2212;0.48</td>
<td valign="top" align="center">(0.12)</td>
<td valign="top" align="center">&#x2212;3.73</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">13.09</td>
<td valign="top" align="center">(10.45)</td>
<td valign="top" align="center">1.25</td>
<td valign="top" align="center">0.21</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">BDI &#x00D7; Block</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">(0.08)</td>
<td valign="top" align="center">1.32</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">(4.06)</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td valign="top" align="left">Model Age</td>
<td valign="top" align="center">Intercept</td>
<td valign="top" align="center">78.3</td>
<td valign="top" align="center">(1.63)</td>
<td valign="top" align="center">47.9</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">3,541.8</td>
<td valign="top" align="center">(122.89)</td>
<td valign="top" align="center">28.81</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Block</td>
<td valign="top" align="center">&#x2212;2.21</td>
<td valign="top" align="center">(1.03)</td>
<td valign="top" align="center">&#x2212;2.13</td>
<td valign="top" align="center">0.033</td>
<td valign="top" align="center">&#x2212;131.57</td>
<td valign="top" align="center">(47.86)</td>
<td valign="top" align="center">&#x2212;2.74</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Age</td>
<td valign="top" align="center">&#x2212; 0.48</td>
<td valign="top" align="center">(0.19)</td>
<td valign="top" align="center">&#x2212;2.49</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">28.07</td>
<td valign="top" align="center">(14.71)</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">0.057</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Age &#x00D7; Block</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">(0.12)</td>
<td valign="top" align="center">2.66</td>
<td valign="top" align="center">0.0082</td>
<td valign="top" align="center">10.59</td>
<td valign="top" align="center">(5.72)</td>
<td valign="top" align="center">1.84</td>
<td valign="top" align="center">0.065</td>
</tr>
<tr>
<td valign="top" align="left">Model WI</td>
<td valign="top" align="center">Intercept</td>
<td valign="top" align="center">83.3</td>
<td valign="top" align="center">(5.2)</td>
<td valign="top" align="center">16.0</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">3,323.4</td>
<td valign="top" align="center">(397.86)</td>
<td valign="top" align="center">8.35</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Block</td>
<td valign="top" align="center">&#x2212;3.27</td>
<td valign="top" align="center">(3.4)</td>
<td valign="top" align="center">&#x2212;0.96</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">&#x2212;109.6</td>
<td valign="top" align="center">(153.4)</td>
<td valign="top" align="center">&#x2212;0.71</td>
<td valign="top" align="center">0.47</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">WI</td>
<td valign="top" align="center">&#x2212;1.62</td>
<td valign="top" align="center">(1.59)</td>
<td valign="top" align="center">&#x2212;1.01</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">70.60</td>
<td valign="top" align="center">(121.94)</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">0.56</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">WI &#x00D7; Block</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">(1.04)</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">&#x2212;7.09</td>
<td valign="top" align="center">47.02</td>
<td valign="top" align="center">&#x2212;0.15</td>
<td valign="top" align="center">0.88</td>
</tr>
<tr>
<td valign="top" align="left" colspan="10"><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Random effects</bold></td>
<td/>
<td valign="top" align="center" colspan="2"><bold>Accuracy</bold><hr/></td>
<td/>
<td valign="top" align="center" colspan="2"><bold>Reaction time</bold><hr/></td>
<td/>
<td valign="top" align="center" colspan="2"><bold>Residual</bold><hr/></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center"><bold>Variance</bold></td>
<td valign="top" align="center"><bold>SD</bold></td>
<td/>
<td valign="top" align="center"><bold>Variance</bold></td>
<td valign="top" align="center"><bold>SD</bold></td>
<td/>
<td valign="top" align="center"><bold>Variance</bold></td>
<td valign="top" align="center"><bold>SD</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="10"><hr/></td>
</tr>
<tr>
<td valign="top" align="left">Empty model</td>
<td valign="top" align="center">Intercept</td>
<td valign="top" align="center">162.40</td>
<td valign="top" align="center">12.74</td>
<td/>
<td valign="top" align="center">1 108 679</td>
<td valign="top" align="center">1,052.93</td>
<td/>
<td valign="top" align="center">43.36</td>
<td valign="top" align="center">6.60</td>
</tr>
<tr>
<td valign="top" align="left">Model PTQ</td>
<td valign="top" align="center">Intercept</td>
<td valign="top" align="center">149.83</td>
<td valign="top" align="center">12.24</td>
<td/>
<td valign="top" align="center">1 072 385</td>
<td valign="top" align="center">1,035.56</td>
<td/>
<td valign="top" align="center">43.19</td>
<td valign="top" align="center">6.57</td>
</tr>
<tr>
<td valign="top" align="left">Model BDI</td>
<td valign="top" align="center">Intercept</td>
<td valign="top" align="center">136.90</td>
<td valign="top" align="center">11.7</td>
<td/>
<td valign="top" align="center">1 082 182</td>
<td valign="top" align="center">1,040.27</td>
<td/>
<td valign="top" align="center">42.66</td>
<td valign="top" align="center">6.53</td>
</tr>
<tr>
<td valign="top" align="left">Model Age</td>
<td valign="top" align="center">Intercept</td>
<td valign="top" align="center">157.13</td>
<td valign="top" align="center">12.53</td>
<td/>
<td valign="top" align="center">1 032 902</td>
<td valign="top" align="center">1,016.31</td>
<td/>
<td valign="top" align="center">39.85</td>
<td valign="top" align="center">6.31</td>
</tr>
<tr>
<td valign="top" align="left">Model WI</td>
<td valign="top" align="center">Intercept</td>
<td valign="top" align="center">160.15</td>
<td valign="top" align="center">12.65</td>
<td/>
<td valign="top" align="center">1 103 816</td>
<td valign="top" align="center">1,050.62</td>
<td/>
<td valign="top" align="center">43.61</td>
<td valign="top" align="center">6.60</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>Model names are organized according to research questions (RQ; e.g., Model 1 examines RQ1); &#x03B3; = predictor; SE = standard error; <italic>t</italic> = test statistic of the multivariate growth model; SD = standard deviation; PTQ = Perseverative Thinking Questionnaire; BDI = Beck Depression inventory; WI = duration of work incapability during the last year before the clinic stay.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S4.SS2">
<title>Associations of PTQ, Depressive Symptoms (BDI), Age and Incapability of Work With Accuracy and Reaction Time (RQ2)</title>
<p>Next, PTQ, BDI, age and incapability of work were separately integrated as Level-2 characteristic into the Models (see <xref ref-type="table" rid="T1">Table 1</xref>). Results showed a significant main effect of PTQ on accuracy [i.e., PTQ indicated lower accuracy at Block 1, <italic>t</italic> (221) = &#x2212;2.52, <italic>p</italic> = 0.01], but not on reaction time [<italic>t</italic> (221) = 1.56, <italic>p</italic> = 0.11]. Furthermore, depressive symptoms measured with the BDI were significantly associated with accuracy in Block 1 [i.e., depressive symptoms indicate lower accuracy, <italic>t</italic> (221) = &#x2212;3.73, <italic>p</italic> &#x003E; 0.001], but not with reaction time [<italic>t</italic> (221) = 1.25, <italic>p</italic> = 0.21]. There were no significant Block by PTQ or Block by BDI interactions for neither accuracy nor reaction time (i.e., no moderation of PTQ or BDI on change from Block 1 to 2). Higher age was significantly associated with decreased accuracy at Block 1 [<italic>t</italic> (221) = &#x2212;2.49, <italic>p</italic> = 0.01], but not with reaction time [<italic>t</italic> (221) = 1.90, <italic>p</italic> = 0.06]. However, as indicated by a Block by age interaction [<italic>t</italic> (221) = 2.66, <italic>p</italic> = 0.008], older adults performed comparably good <italic>at Block 2</italic> as younger adults. Last but not least, duration of incapability of work was neither associated with accuracy [<italic>t</italic> (221) = &#x2212;1.01, <italic>p</italic> = 0.30] nor reaction time [<italic>t</italic> (221) = 0.57, <italic>p</italic> = 0.56] at Block 1. No significant Block by incapability of work interaction were obtained for accuracy and reaction time.</p>
</sec>
</sec>
<sec id="S5">
<title>Discussion</title>
<p>There is cumulative evidence suggesting that WM performance is impaired in individuals suffering from a psychosomatic or mental disorder (<xref ref-type="bibr" rid="B30">Snyder, 2013</xref>; <xref ref-type="bibr" rid="B22">Moran, 2016</xref>). The present study examines WM performance in a two-block WM task (Block 1 and Block 2) in highly distressed psychosomatic inpatients and results indicate that RNT, depressive symptoms and patient age is associated with lower WM performance.</p>
<p>First, we observed a significant decrease in accuracy as well as in reaction time over the course of the WM task (RQ1), meaning that patients made more errors but at the same time became faster in their answering speed from Block 1 to Block 2. One possible explanation for this finding might be the nature of the task itself: Initially, when confronted with an unknown WM task, patients may have perceived the situation as highly stressful (<xref ref-type="bibr" rid="B10">Eysenck et al., 2007</xref>). However, during Block 1, patients may have gotten familiar with the task and gained confidence to increase their answering speed. Indeed, participants indicated feeling less distressed and less afraid in the self-reports. When the WM task continued in Block 2, patients indicated an increase in physical task demands and a higher level of effort. As a result, patients may have made more errors. However, since this is a starting point of understanding WM processing across two blocks, future research is needed to better understand WM functioning across two- or more blocks.</p>
<p>With regard to RQ2, we found that patients who reported higher RNT scores as well as more severe depressive symptoms showed lower accuracy scores in Block 1. This is in line with recent meta-analytic evidence indicating that individuals with high RNT seem to have impaired WM performance, specifically, in difficulty in discarding no longer relevant material from WM (<italic>k</italic> = 94; <xref ref-type="bibr" rid="B36">Zetsche et al., 2018</xref>). However, <xref ref-type="bibr" rid="B36">Zetsche et al. (2018)</xref> only obtained low correlations between measures of psychopathology (i.e., anxiety and depression) and WM deficits, but hypothesize that they may have underestimated this relation by summarizing correlation coefficients within diagnostic groups, resulting in limited variance. Indeed, our results indicate that WM impairments may even be greater in psychosomatic patients with high depressive symptoms which confirms previous work in this field (<xref ref-type="bibr" rid="B4">Christopher and MacDonald, 2005</xref>; <xref ref-type="bibr" rid="B33">Wagner et al., 2006</xref>). Taken together, the results highlight that RNT and depressive symptoms seems to be relevant factors affecting WM performance in psychosomatic inpatients.</p>
<p>Furthermore, we found that older patients made significantly more errors (i.e., lower accuracy) in Block 1. These results are in line with prior findings which indicate a progressive effect between age and mental disorders, leading to a decreased WM performance (<xref ref-type="bibr" rid="B30">Snyder, 2013</xref>). Therefore, particularly in older employees suffering from psychosomatic disorders, WM impairments might be particularly challenging. Moreover, our results indicate that duration of work incapability prior to clinic admission did not affect WM performance. In a similar study, <xref ref-type="bibr" rid="B33">Wagner et al. (2006)</xref> did not find differences between psychosomatic patients with or without memory impairments with regard to capability to work at discharge. Taken together, the present results highlight the need to consider multiple factors, such as age, symptom severity and their potential interaction when assessing WM functioning across adulthood.</p>
<p>There are several limitations to consider when interpreting the results of this study. First, the recruitment context might impact the representativeness of the sample: Participation in the WM assessment was solely voluntary; therefore, it is possible that only those not so severely impaired signed up for participation. By assessing WM functions as a standardized part of intake and discharge assessments in clinics, it could further help shaping the treatment according to the patients&#x2019; cognitive abilities (<xref ref-type="bibr" rid="B2">Beblo, 2002</xref>). Moreover, integrating cognitive training programs focusing on compensating and improving WM functioning within the psychosomatic rehabilitation context could be beneficial (<xref ref-type="bibr" rid="B32">Wagner et al., 2008</xref>). Second, we did not recruit a comparison group (i.e., ambulatory or healthy participants). Hence, in order to be able to disentangle how RNT influences WM functioning, it would be helpful to investigate individuals with more variability in RNT and/or (sub-)clinical symptoms. Third, the majority of the patients were female and a contrast between gender would be underpowered based on the obliquely distributed characteristic and the limited sample size. Therefore, we were not able to rule out potential gender differences for this particular WM task. Forth, even though we used a WM task whose practicality was previously tested in patient samples, fatigue effects (e.g., <xref ref-type="bibr" rid="B18">Li et al., 2020</xref>) and further aspects of the self-paced format could have an impact on the particular WM task (e.g., <xref ref-type="bibr" rid="B1">Bailey, 2012</xref>).</p>
<p>To conclude, the present study investigated WM performance in an adult psychosomatic inpatient population and found that RNT, depressive symptom severity and age significantly is associated with lower WM functioning. Assessing WM functioning may help to better personalize treatment planning in psychosomatic populations in respect to their challenges in psychosocial functioning and work conditions.</p>
</sec>
<sec id="S6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the ethical committee of the Federal Medical Association (&#x201C;Landes&#x00E4;rztekammer&#x201D;) of Brandenburg. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>All authors were involved in conceptualizing and writing up this study report. JH, LR, VK, and CF were responsible for the study conceptualization. JH performed the data analysis and was the major responsible in writing up the manuscript. LR was responsible for the data collection and preliminary analyses. CF and VK were the principal investigators. CF, AV, PH, and VK provided advice for the data analysis and study report.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s9">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This study was supported by the Swiss National Science Foundation (Grants PP00P1_163702 and PP00P1_190083, recipient: CF).</p>
</fn>
</fn-group>
<sec id="S10" sec-type="supplementary-material">
<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.2021.589809/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyg.2021.589809/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOC" id="TS1" mimetype="application/msword" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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