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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">8502536</journal-id><journal-id journal-id-type="pubmed-jr-id">4508</journal-id><journal-id journal-id-type="nlm-ta">J Appl Physiol (1985)</journal-id><journal-id journal-id-type="iso-abbrev">J Appl Physiol (1985)</journal-id><journal-title-group><journal-title>Journal of applied physiology (Bethesda, Md. : 1985)</journal-title></journal-title-group><issn pub-type="ppub">8750-7587</issn><issn pub-type="epub">1522-1601</issn></journal-meta><article-meta><article-id pub-id-type="pmid">39813018</article-id><article-id pub-id-type="pmc">12208104</article-id><article-id pub-id-type="doi">10.1152/japplphysiol.00457.2024</article-id><article-id pub-id-type="manuscript">NIHMS2085903</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Interactions of Chronic Stress Exposure and Stress Appraisal on Vascular Endothelial Function Among Young Adults</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Carlson</surname><given-names>Alyssa S.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Schwager</surname><given-names>Laura E.</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Hart</surname><given-names>Thomas W.</given-names><suffix>Jr.</suffix></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Diesel</surname><given-names>Sara J.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Harris</surname><given-names>Jordan L.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Flores</surname><given-names>Mark</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>West</surname><given-names>Kylee</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Thomas</surname><given-names>Emily B.K.</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Jenkins</surname><given-names>Nathaniel D.M.</given-names></name><xref rid="A1" ref-type="aff">1</xref><xref rid="A2" ref-type="aff">2</xref><xref rid="A3" ref-type="aff">3</xref><xref rid="A4" ref-type="aff">4</xref></contrib></contrib-group><aff id="A1"><label>1</label>Psychological and Brain Sciences, University of Iowa</aff><aff id="A2"><label>2</label>Health and Human Physiology, University of Iowa</aff><aff id="A3"><label>3</label>Abboud Cardiovascular Research Center, University of Iowa</aff><aff id="A4"><label>4</label>Fraternal Order of Eagles Diabetes Research Center, University of Iowa</aff><author-notes><corresp id="CR1"><bold>Address for Correspondence:</bold> Nathaniel D.M. Jenkins, PhD, FAHA, Associate Professor, Health and Human Physiology, Faculty Member, Abboud Cardiovascular Research Center, Faculty Member, Fraternal Order of Eagles Diabetes Research Center, University of Iowa, <email>nathaniel-jenkins@uiowa.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>24</day><month>6</month><year>2025</year></pub-date><pub-date pub-type="ppub"><day>01</day><month>3</month><year>2025</year></pub-date><pub-date pub-type="epub"><day>15</day><month>1</month><year>2025</year></pub-date><pub-date pub-type="pmc-release"><day>30</day><month>6</month><year>2025</year></pub-date><volume>138</volume><issue>3</issue><fpage>783</fpage><lpage>791</lpage><abstract id="ABS1"><sec id="S1"><title>Objective:</title><p id="P1">We investigated the associations of ongoing, chronic stress exposure and stress appraisal on vascular endothelial function (VEF) in young adults.</p></sec><sec id="S2"><title>Methods:</title><p id="P2">In 72 healthy young adults (74% female; age = 25&#x000b1;1 y), we assessed chronic stress exposure and appraisal with a measure that quantified chronic stress exposure and chronic stress appraisal related to 8 specific stressors over the last year. Participants completed the perceived stress scale (PSS) as a measure of global, proximal stress appraisal. VEF was assessed using the brachial artery flow mediated dilation technique. We examined relations among ongoing, chronic stress exposure and stress appraisal versus VEF adjusted for age and sex, and then assessed whether stress appraisal moderated the effect of chronic stress exposure on VEF.</p></sec><sec id="S3"><title>Results:</title><p id="P3">Chronic stress exposure (&#x003b2;=&#x02212;0.24, <italic toggle="yes">p=</italic>.045), but not chronic stress appraisal (&#x003b2;=0.07, <italic toggle="yes">p</italic>=.56) or perceived stress (&#x003b2;=&#x02212;0.20, <italic toggle="yes">p</italic>=.11), was related to VEF. Perceived stress (<italic toggle="yes">p</italic> = .046), but not chronic stress appraisal (<italic toggle="yes">p</italic>=.54), moderated the association between chronic stress exposure and VEF. The effect of chronic stress exposure on VEF ceased to be significant at a PSS score of ~22. Subsequent exploratory stratified analysis indicated that those with PSS &#x02265;22 had increased exposure to adverse childhood experiences (+1.6&#x000b1;0.6, <italic toggle="yes">p=</italic>.01), greater depressive symptoms (+10.2&#x000b1;2.7, <italic toggle="yes">p</italic>&#x0003c;.001), and reduced psychological resilience (&#x02212;7.6&#x000b1;3.5, <italic toggle="yes">p</italic>=.036).</p></sec><sec id="S4"><title>Conclusions:</title><p id="P4">Chronic stress exposure significantly predicts impaired VEF among young adults. Further, this relation is influenced by proximal perceived stress, such that the association of chronic stress exposure on VEF may be obscured at high levels of proximal perceived stress.</p></sec><sec id="S5"><title>New and Noteworthy:</title><p id="P5">Our findings indicate that ongoing chronic stress exposure over the last year is significantly associated with reduced vascular endothelial function among apparently healthy young adults. Our data provide important insights into the interplay of chronic stress exposure versus proximal perceived stress and may also support the hypothesis that young adults who are sensitized to stress may be particularly vulnerable to stress-related impairments in vascular endothelial function.</p></sec></abstract><abstract id="ABS2" abstract-type="graphical"><title>Graphical Abstract</title><p id="P6">
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</p></abstract><kwd-group><kwd>psychosocial stress</kwd><kwd>early life stress</kwd><kwd>cardiovascular disease</kwd><kwd>vascular endothelium</kwd><kwd>vasodilation</kwd></kwd-group></article-meta></front><body><sec id="S6"><title>Introduction</title><p id="P7">The lifetime prevalence of cardiovascular disease (CVD) in adults is &#x0003e;50% and has remained the leading cause of death in the United States for a century (<xref rid="R1" ref-type="bibr">1</xref>). Whereas a large emphasis has been placed on traditional risk factors for CVD, there is a growing understanding that psychosocial factors such as psychological stress also contribute independently to CVD risk (<xref rid="R2" ref-type="bibr">2</xref>&#x02013;<xref rid="R5" ref-type="bibr">5</xref>). For example, a case-control study that included nearly 25,000 adults from 52 countries reported that individuals who experienced an acute myocardial infarction were 1.5 times more likely to report two or more stressful life events related to work, home, family, or finances in the year prior (<xref rid="R6" ref-type="bibr">6</xref>). In support of these findings, evidence from a large, prospective cohort study in 118,706 adults living in 21 different low-, middle-, and high-income countries demonstrated that psychosocial stress at work or home, from major life events, or due to finances contributed to a 20&#x02013;30% increase in CVD, coronary heart disease, and stroke risk even with adjustment for traditional social, behavioral, and clinical risk factors (<xref rid="R7" ref-type="bibr">7</xref>). Thus, compelling epidemiological evidence exists to suggest that psychosocial stress exposure independently contributes to CVD risk, and that the magnitude of risk is comparable to that attributed to traditional CVD risk factors (<xref rid="R7" ref-type="bibr">7</xref>, <xref rid="R8" ref-type="bibr">8</xref>). There has been an alarming trend of increasing rates of CVD among young adults (<xref rid="R9" ref-type="bibr">9</xref>, <xref rid="R10" ref-type="bibr">10</xref>). Given that young adults are currently reporting higher stress levels than older generations (<xref rid="R11" ref-type="bibr">11</xref>) and that young adulthood is a period of life where individuals are at heightened risk to develop stress disorders (<xref rid="R12" ref-type="bibr">12</xref>, <xref rid="R13" ref-type="bibr">13</xref>), it is plausible that psychosocial stress may be contributing to these increases in CVD risk.</p><p id="P8">The acute neural response to psychosocial stressors includes activation of the limbic system and subsequently of the hypothalamic-pituitary-adrenal and sympathetic-adrenal-medullary axes (<xref rid="R4" ref-type="bibr">4</xref>, <xref rid="R14" ref-type="bibr">14</xref>). The downstream physiological effects include increased sympathetic nervous system activity and parasympathetic withdrawal, the secretion of stress-related hormones, immune system activation and the production of inflammatory cytokines and prothrombotic factors, and an increase in peripheral resistance (<xref rid="R4" ref-type="bibr">4</xref>, <xref rid="R15" ref-type="bibr">15</xref>). Collectively, this response also contributes to transient reductions in endothelial vasodilatory function (<xref rid="R16" ref-type="bibr">16</xref>&#x02013;<xref rid="R18" ref-type="bibr">18</xref>). Whereas this acute physiologic response is protective in emergent situations, it is thought that chronic, repeated exposure to psychosocial stressors may result in cumulative, maladaptive effects that include detrimental vascular endothelial sequalae, the promotion of atherosclerotic progression, and ultimately increased CVD risk (<xref rid="R16" ref-type="bibr">16</xref>, <xref rid="R19" ref-type="bibr">19</xref>, <xref rid="R20" ref-type="bibr">20</xref>).</p><p id="P9">The vascular endothelium is a regulatory organ that plays a critical role in maintaining cardiovascular homeostasis (<xref rid="R21" ref-type="bibr">21</xref>). Consequently, vascular endothelial dysfunction is a pathophysiological mechanism contributing to the development of atherosclerosis and CVD (<xref rid="R21" ref-type="bibr">21</xref>, <xref rid="R22" ref-type="bibr">22</xref>), and is characterized by reduced endothelium-dependent vasodilatory function in conduit arteries. Recent reports have indicated that psychosocial stress is associated with reduced vascular endothelial function (VEF) among young adults (<xref rid="R19" ref-type="bibr">19</xref>, <xref rid="R20" ref-type="bibr">20</xref>, <xref rid="R23" ref-type="bibr">23</xref>), perhaps implicating vascular endothelial dysfunction as a pathophysiological link between psychosocial stress exposure and the development of CVD.</p><p id="P10">In examining the health-related effects of psychosocial stress, two prevailing models include the differential exposure and differential vulnerability hypotheses (<xref rid="R24" ref-type="bibr">24</xref>, <xref rid="R25" ref-type="bibr">25</xref>). The differential exposure hypothesis proposes that differential exposure to psychosocial stressors explain group differences in health, including cardiovascular risk (<xref rid="R26" ref-type="bibr">26</xref>, <xref rid="R27" ref-type="bibr">27</xref>). The differential vulnerability hypothesis posits that stress appraisal dictates the effect of stress exposure on health, whereby individuals who perceive stressors as more stressful (i.e., greater stress sensitization) are more strongly impacted (<xref rid="R25" ref-type="bibr">25</xref>, <xref rid="R28" ref-type="bibr">28</xref>&#x02013;<xref rid="R30" ref-type="bibr">30</xref>). Notably, while these hypotheses are often presented as competing models, they are not necessarily mutually exclusive. Accordingly, evidence from the Midlife in the United States (MIDUS) cohort study indicated that both the total number of naturalistic stressors experienced during eight days of daily life and the affective reactivity to these stressors were predictive of mortality over 20 years of subsequent follow-up, although the association of affective reactivity with mortality was only present among those with a chronic illness (<xref rid="R31" ref-type="bibr">31</xref>). Therefore, to better understand the effects of stress exposure versus stress appraisal on cardiovascular health in young adults, we examined the associations of chronic stress exposure, chronic stress appraisal, and proximal perceived stress with VEF measured by the brachial artery flow mediated dilation technique. Our hypothesis was that the degree of exposure to chronic stressors, rather than chronic stress appraisal or proximal perceived stress, would be more strongly and inversely associated with VEF in young adults. We further conceptualized that stress appraisal would moderate the association between stress exposure and VEF.</p></sec><sec id="S7"><title>METHODS</title><sec id="S8"><title>Participants</title><p id="P11">Seventy-two participants provided written informed consent, were qualified for study participation, and completed experimental procedures in compliance with the study protocol, which included assessments of ongoing stress exposure and stress appraisal and measurement of vascular endothelial function <italic toggle="yes">in vivo</italic>. Characteristics of these participants are included in <xref rid="T1" ref-type="table">Table 1</xref>. To be eligible for participation, participants must have been between the ages of 18 and 39 y, have had no diagnosed cardiovascular or metabolic disease or sleep disorder, and have had a body mass index less than 40 kg/m<sup>2</sup>. All participants completed a demographic and health history questionnaire to verify eligibility. Females were also asked to provide information regarding typical menstrual cycle regularity and length and/or birth control use. This study was approved by the University of Iowa Institutional Review Board for the protection of human subjects (IRB ID# 202010095, Original approval date 10/18/2020), and this study represents a secondary analysis of this dataset.</p></sec><sec id="S9"><title>General Experimental Considerations</title><p id="P12">For experimental visits, participants arrived to the laboratory following an 8&#x02013;10 h overnight fast. Participants were also instructed to abstain from caffeine for 24 hours and from alcohol and heavy exercise for 48 hours prior to their study visit. Participants were also asked to try to get a full, restful night of sleep the night prior to their visit, to abstain from taking any medications the morning of their study visit, and to arrive euhydrated. Menstrual cycle phase was not controlled based on meta-analytic evidence indicating that menstrual cycle phase does not significantly influence VEF when measured using the FMD technique in accordance with FMD assessment guidelines (<xref rid="R32" ref-type="bibr">32</xref>). However, approximate day of menstrual cycle (counted as days from the start of the last menstruation) was documented on the day of the study visit for female participants.</p></sec><sec id="S10"><title>Vascular Endothelial Function</title><p id="P13">Vascular endothelial function was assessed via the brachial artery flow mediated dilation technique in accordance with current guidelines (<xref rid="R33" ref-type="bibr">33</xref>) and as described previously by our team (<xref rid="R34" ref-type="bibr">34</xref>, <xref rid="R35" ref-type="bibr">35</xref>). In brief, participants laid supine on a padded medical examination table in a darkened, quiet, temperature controlled (20&#x02013;22&#x000b0;C) room for 10&#x02013;15 minutes. The left arm was then extended laterally and supported, and a segmental cuff (TMC7, Hokanson) was placed two inches distal of the medial epicondyle of the humerus. A 12-MHz linear array transducer and high-resolution ultrasound (12L-RS and LOGIQ P9 R3, GE Healthcare, USA) were used to visualize the brachial artery 2&#x02013;4 cm proximal to the antecubital fold and to measure blood flow using duplex ultrasonography. Blood flow velocity was collected using an insonation angle of 60&#x000b0; to the longitudinal axis of the vessel with a centered, maximized sample volume. Following 1 min of baseline recording, the segmental cuff was inflated to 230&#x02013;240 mmHg on the forearm (SC5D, Hokanson) with a rapid cuff inflation system (E20, Hokanson) for 5 min, before being instantaneously deflated to induce an increase in blood flow and subsequently in artery diameter. Imaging and recording continued for an additional 3 minutes post-cuff deflation. Throughout the test, a high-definition screen capture device (AV.io HD, Epiphan Systems) was used to continuously record the ultrasound screen and semi-automated continuous wall-tracking software (FMD Studio) was used to determine FMD as the peak change (%) in artery diameter post-cuff deflation from baseline. Because FMD is dependent on post-occlusion shear rate (SR), we also determined the SR area under the curve (AUC) up to maximal arterial dilation and subsequently report FMD values normalized to SR AUC. Coefficients of variation for brachial artery baseline diameter, diameter change, and relative FMD in our laboratory are 2.6, 3.9, and 5.3% (<xref rid="R20" ref-type="bibr">20</xref>).</p></sec><sec id="S11"><title>Ongoing Stress and Stress Appraisal</title><p id="P14">Ongoing, chronic stress exposure was assessed via a questionnaire that asked participants to report events that were ongoing or recurring stressors for at least the last 12 months. Thus, participants could include stressors that began more than 12 months prior (e.g., 2 years ago) but had to also be present in the past 12 months (i.e., ongoing) to be endorsed. Participants reported if they had experienced: 1) ongoing health problems (in yourself), 2) physical or emotional problems (in a significant other or child), 3) problems with alcohol or drug use in a family member, 4) trouble with a boss or conditions at work, 5) financial strain, 6) housing problems, 7) problems in a close relationship, and/or 8) helping at least one sick/limited/frail family member or friend on a regular basis (<xref rid="R30" ref-type="bibr">30</xref>, <xref rid="R36" ref-type="bibr">36</xref>). The cumulative number of ongoing chronic stressors each participant experienced was used as the indicator of ongoing, chronic stress exposure. For each chronic stressor to which participants were exposed, participants also rated the degree to which the stressor was upsetting at the time of the stressor occurrence using a 3-point Likert scale, where: 1 = <italic toggle="yes">it was not upsetting</italic>, 2 = <italic toggle="yes">it was somewhat upsetting</italic>, and 3 = <italic toggle="yes">it was very upsetting</italic> (<xref rid="R30" ref-type="bibr">30</xref>, <xref rid="R36" ref-type="bibr">36</xref>). The average stressor severity was used as the primary indicator of chronic stress appraisal. As a secondary indicator of proximal stress appraisal in this study, participants also completed the 10-item Perceived Stress Scale (PSS-10) (<xref rid="R37" ref-type="bibr">37</xref>). The PSS-10 specifically assesses perceived stress in the past month, providing a possible score of 0&#x02013;40, where 0 indicates no perceived stress. The PSS was included as a general (e.g., non-specific to any one stressor) and more proximal indicator of stress appraisal that has also been shown to be relatively stable over time (<xref rid="R38" ref-type="bibr">38</xref>). This decision was made with the assumption that appraisal of a specific stressor may not reflect global stress appraisal, which could also interact with chronic stress exposure to influence cardiovascular health. PSS scores were not available for 8 participants; therefore, for analyses reliant on PSS scores the sample size was <italic toggle="yes">n</italic> = 64.</p></sec><sec id="S12"><title>Potential Stress Sensitizing Exposures and Characteristics</title><p id="P15">We identified three factors in our data set that have previously been put forward as exposures or factors that modulate stress sensitization: cumulative exposure to adverse childhood experiences, depressive symptoms, and psychological resilience (<xref rid="R19" ref-type="bibr">19</xref>, <xref rid="R39" ref-type="bibr">39</xref>&#x02013;<xref rid="R41" ref-type="bibr">41</xref>). Adverse childhood experiences were assessed using the 10-item ACE questionnaire, from which a multiplicity of exposure score was obtained where higher scores indicate exposure to more ACEs (<xref rid="R20" ref-type="bibr">20</xref>, <xref rid="R42" ref-type="bibr">42</xref>). Depressive symptoms were measured using the 20-item Center for Epidemiological Studies-Depression (CES-D) scale, where higher scores indicate greater depressive symptoms (<xref rid="R43" ref-type="bibr">43</xref>, <xref rid="R44" ref-type="bibr">44</xref>). Finally, psychological resilience was assessed using the Connor-Davidson Resilience Scale (CD-RISC), with higher scores indicating greater resilience (<xref rid="R45" ref-type="bibr">45</xref>).</p></sec><sec id="S13"><title>Statistical Analyses</title><p id="P16">Data are presented as mean (&#x000b1;SE) or median [IQR]. Exploratory analyses confirmed that VEF was not dependent on menstrual cycle day in females (<italic toggle="yes">p</italic> = 0.72), or on antidepressant (<italic toggle="yes">p</italic> = 0.27) or anxiolytic (<italic toggle="yes">p</italic> = 0.80) medication use in the cohort. The effect of chronic stressor exposure on VEF was also not dependent on antidepressant or anxiolytic medication use. Thus, we first conducted multiple linear regression analyses to examine the effect of stress exposure, stressor severity, and perceived stress on VEF, partialled for age and sex. To better understand whether effects on VEF preceeded or were concomitant with effects on blood pressure, post-hoc exploratory analyses were also performed to examine the effect of stress exposure, stressor severity, and perceived stress on systolic and diastolic blood pressure, controlling for age and sex. Bivariate normality was checked by visualizing Q-Q residual plots. Next, moderation analyses (medmod package, jamovi, v. 2.4.14.0; &#x0201c;The jamovi project&#x0201d;) were conducted where chronic stress exposure and VEF were the independent and dependent variables, respectively, and stress appraisal was included as the moderator. Data were mean centered, and SEs for moderation analyses were estimated using the standard method. For each analysis, separate models were run where chronic stressor appraisal or proximal perceived stress scores were included as the measure of stress appraisal. Where a significant moderation effect was observed, we then performed the Johnson-Neyman technique using CAHOST to determine a critical value at which the moderation effect of stress exposure on VEF ceased to be significant (<xref rid="R46" ref-type="bibr">46</xref>). In a subsequent post-hoc analysis, we stratified participants based on this critical value to test for the existence of group differences in the three hypothesized exposures or characteristics of interest that may serve to sensitize individuals to stress exposure, which included adverse childhood experiences, depressive symptoms, and psychological resilience. These differences were tested using independent samples t-tests and mean difference &#x000b1; SE scores are presented in text. For all analyses, &#x003b1; was set at 0.05.</p></sec><sec id="S14"><title>Transparency and Openness</title><p id="P17">In this article, we report our sample size, all data exclusions, all manipulations, and all measures that were included in this analysis, which primarily represented <italic toggle="yes">blinded ex post</italic> analyses. After completing the analyses examining our primary hypotheses, we completed an exploratory analysis to test for the existence of differences in the three hypothesized exposures or characteristics of interest that may serve to sensitize individuals to stress exposure. This analysis was completed after the initial <italic toggle="yes">blinded ex post</italic> analyses, but was also blinded and reported in full transparency. All data are available at <ext-link xlink:href="https://doi.org/10.7910/DVN/FXQU44" ext-link-type="uri">https://doi.org/10.7910/DVN/FXQU44</ext-link>. Data were analyzed using open access statistical programs/packages (<xref rid="R47" ref-type="bibr">47</xref>) or worksheets (<xref rid="R46" ref-type="bibr">46</xref>), as described in the <xref rid="S13" ref-type="sec">statistical analysis</xref> section.</p></sec></sec><sec id="S15"><title>RESULTS</title><sec id="S16"><title>Individual Relations Among Chronic Stress Exposure, Stress Appraisal, and VEF</title><p id="P18">The average chronic stress exposure in our sample was 2.9 &#x000b1; 0.2 (range: 0&#x02013;7) stressors, the average rated chronic stressor severity was 1.8 &#x000b1; 0.1 (range: 0&#x02013;3), and the average proximal perceived stress score was 21 &#x000b1; 0.4 (range: 15&#x02013;33). After adjustment for age and sex, greater chronic stress exposure was associated with lower VEF (&#x003b2; = &#x02212;0.24; <italic toggle="yes">p</italic> = .045). However, neither chronic stressor severity (&#x003b2; = 0.07; <italic toggle="yes">p</italic> = .56) nor proximal perceived stress (&#x003b2; = &#x02212;0.20; <italic toggle="yes">p</italic> = .11) was associated with VEF (<xref rid="T2" ref-type="table">Table 2</xref>).</p></sec><sec id="S17"><title>Exploratory Analysis of Relations Among Chronic Stress Exposure, Stress Appraisal, and Blood Pressure</title><p id="P19">Niether chronic stress exposure nor chronic stressor severity were associated with brachial systolic (r = 0.07&#x02013;0.08; <italic toggle="yes">p</italic> &#x02265; .49) or diastolic (r = 0.01&#x02013;0.10; <italic toggle="yes">p</italic> &#x02265; .42) blood pressure after partialling for age and sex. However, proximal perceived stress was related to brachial systolic blood pressure (r = 0.25; <italic toggle="yes">p</italic> = .047), but was not significantly related to diastolic blood pressure (r = 0.24; <italic toggle="yes">p</italic> = .06).</p></sec><sec id="S18"><title>Moderation Analysis: Interaction of Stress Exposure with Stress Appraisal on VEF</title><p id="P20">Average chronic stressor severity did not moderate the effect of chronic stress exposure on VEF, but proximal perceived stress did (<xref rid="T3" ref-type="table">Table 3</xref>). Thus, whereas chronic stress exposure was inversely associated with VEF at all levels of chronic stressor severity (<xref rid="F1" ref-type="fig">Figure 1A</xref>), chronic stress exposure was inversely associated with VEF at low and average, but not high levels of proximal perceived stress (<xref rid="F1" ref-type="fig">Figures 1B</xref> and <xref rid="F2" ref-type="fig">2B</xref>). Results from the Johnson-Neyman technique are displayed in <xref rid="F2" ref-type="fig">Figure 2A</xref>, which indicated that that the effect of chronic stress exposure on VEF ceased to be significant at a PSS score of 21.68.</p></sec><sec id="S19"><title>Exploratory Stratification Analyses: Potential Stress Sensitizing Exposures and Characteristics</title><p id="P21">When compared to individuals for whom the association of cumulative chronic stress exposure on VEF was significant, individuals for whom this association was not significant (i.e., PSS scores &#x02265;22) reported greater exposure to adverse childhood experiences (+1.6&#x000b1;0.6, <italic toggle="yes">p =</italic> .011), greater depressive symptoms (+10.2&#x000b1;2.7, <italic toggle="yes">p</italic> &#x0003c; .001), and reduced psychological resilience (&#x02212;7.6&#x000b1;3.5, <italic toggle="yes">p</italic> = .036) (<xref rid="F3" ref-type="fig">Figures 3A</xref>&#x02013;<xref rid="F3" ref-type="fig">C</xref>).</p></sec></sec><sec id="S20"><title>DISCUSSION</title><p id="P22">This is among the first studies to assess the effects of chronic, ongoing naturalistic stress on conduit artery VEF, inclusive of cumulative chronic stressor exposure and chronic and proximal stress appraisal in young adults. As hypothesized, those who reported greater cumulative exposure to chronic stressors also exhibited reduced VEF. Interestingly, the present findings showed that neither appraisal of chronic stressors, nor perceived stress in the past month were significantly associated with VEF in our sample. While chronic stress appraisal did not modify the relation between chronic stress exposure and VEF, proximal perceived stress did. Specifically, the relation between chronic stress exposure and VEF was significant at low and average levels of proximal perceived stress, whereas there was no relation at high levels of proximal perceived stress. We then determined that the association of chronic stress exposure on VEF was significant only at PSS scores less than 22. Notably, individuals with PSS scores &#x02265;22 had greater exposure to factors that may sensitize individuals to stress than individuals with PSS scores &#x0003c;22, including greater adverse childhood experiences and depressive symptoms, and lower psychological resilience. Thus, overall, our results demonstrated that exposure to common, chronic psychosocial stressors was most strongly predictive of VEF in young adults, and that this association is dependent upon proximal perceived stress.</p><p id="P23">Our findings indicate that even among healthy, young adults with no existing cardiovascular or metabolic disease, exposure to chronic stressors is associated with reduced VEF but not brachial blood pressure, which aligns with prior evidence linking chronic naturalistic stressor exposure to the development and progression of disease (<xref rid="R48" ref-type="bibr">48</xref>, <xref rid="R49" ref-type="bibr">49</xref>) and portends risk for the future development of CVD. However, neither chronic stress appraisal nor proximal perceived stress were individually associated with VEF in our study. Similarly, Greaney and colleagues (<xref rid="R50" ref-type="bibr">50</xref>) reported that the number of exposures to common daily stressors is positively associated with microvascular vasoconstrictor responsiveness to noradrenergic stimulation in young adults. Also consistent with our findings, Greaney et al. (<xref rid="R50" ref-type="bibr">50</xref>) reported that perceived stressor severity was not significantly associated with vascular function. These findings also agree with data from the MIDUS study, which indicated that greater cumulative stressor exposure in mid-life was linked with increased mortality risk during 20 years of follow-up, whereas negative affective reactivity to naturalistic stressors only predicted increased mortality among individuals with a chronic health condition (<xref rid="R31" ref-type="bibr">31</xref>). Therefore, our findings lend support to reduced VEF as an important pathophysiological mechanism linking chronic stress exposure with future CVD and, potentially, mortality risk. These findings also lend credence to the differential exposure hypothesis, indicating that increasing exposure to chronic stressors is sufficient to promote reduced VEF.</p><p id="P24">Conceptually, exposure to and appraisal of stressors are not independent phenomena, and instead stressor appraisal may modify the degree to which stressor exposure negatively impacts health. Indeed, whereas repeated activation of the physiological stress systems would be expected to adversely impact cardiovascular health, it is reasonable to suspect that this may be further exacerbated by heightened reactivity among individuals who perceive the stressor(s) as more upsetting. Thus, our study takes an important step by building on prior studies to test the hypothesis that stress appraisal moderates the association of exposure to chronic naturalistic stressors with reduced VEF. In partial accordance with our hypothesis, proximal perceived stress was a significant moderator (<xref rid="F1" ref-type="fig">Figure 1B</xref>), but appraisal of the chronic stressors themselves was not (<xref rid="F1" ref-type="fig">Figure 1A</xref>). Interestingly, our data indicate that while stress exposure magnitude was significantly and inversely associated with VEF at low (&#x02212;1SD) and moderate (average) levels of proximal perceived stress for our sample, it was not among individuals who reported high (+1SD) levels of proximal perceived stress. Examination of the simple slopes (<xref rid="F2" ref-type="fig">Figure 2B</xref>) further suggests that individuals with high perceived stress have lower VEF even at low chronic stress exposure. Therefore, our findings indicate that the association of chronic stressor exposure with reduced VEF is not dependent on appraisal of the chronic stressors but is dependent on proximal perceived stress.</p><p id="P25">As stated, when individuals reported greater proximal perceived stress, VEF was less impacted by the magnitude of exposure to common, chronic psychosocial stressors. Although seemingly counterintuitive, these findings could be explained by increased stress sensitization among those with high levels of proximal perceived stress, such that individuals are <italic toggle="yes">more</italic> impacted by chronic stressors and perceive high levels of stress at low levels of chronic stress exposure (<xref rid="R51" ref-type="bibr">51</xref>). For example, for an individual who is sensitized to stress, low exposure to chronic stress will result in higher proximal perceived stress, whereas for someone who is less sensitized to stress, high exposure to chronic stress will be required to result in high proximal perceived stress (<xref rid="R52" ref-type="bibr">52</xref>). This model has been used previously to identify groups who may be more prone to experience psychopathology in response to psychosocial stress exposure (<xref rid="R53" ref-type="bibr">53</xref>). For example, individuals with a history of adverse childhood experiences have been shown to be sensitized to subsequent proximal stress, increasing their risk of later psychopathology (<xref rid="R51" ref-type="bibr">51</xref>). To further test this hypothesis, we performed the Johnson-Neyman technique to determine the level of proximal perceived stress at which the association of chronic stress exposure magnitude with VEF ceased to be significant (<xref rid="R46" ref-type="bibr">46</xref>). Our analysis indicated that the critical PSS score in our sample was approximately 22. Thus, we stratified our sample into two groups based on PSS scores below and equal to or above this critical value and performed comparisons examining factors that have been previously linked to stress sensitization or resilience (<xref rid="R19" ref-type="bibr">19</xref>, <xref rid="R39" ref-type="bibr">39</xref>&#x02013;<xref rid="R41" ref-type="bibr">41</xref>). Our findings confirmed that individuals with a PSS &#x02265;22 indeed had greater exposure to adverse childhood experiences, greater depressive symptoms, and lower psychological resilience (<xref rid="F3" ref-type="fig">Figure 3A</xref>&#x02013;<xref rid="F3" ref-type="fig">C</xref>).</p><p id="P26">While our findings appear to support an effect of stress sensitization in association with prior early life adversity, depressive symptoms, and low psychological resilience, there are several very important considerations that must be taken into account. First, there were no differences observed in chronic stress appraisal among individuals below and equal to the critical PSS score. However, stress sensitization may best be defined by the coupling of stress and affect (i.e., the affective response to stress exposure) (<xref rid="R54" ref-type="bibr">54</xref>) which was not assessed in this study, and thus the lack of difference in chronic stress appraisal also does not preclude an effect of stress sensitization. It is also important to consider that proximal stress appraisal as measured in this study was not directly resultant from the chronic stress exposures assessed and, when also considered against the potential temporal discordance of chronic stressor exposure and proximal perceived stress, it is difficult to ascertain with certainty the role of stress sensitization. However, it is also worth considering that the PSS has also been shown to reflect, in part, a stable characteristic describing how an individual perceives stressful life circumstances (<xref rid="R38" ref-type="bibr">38</xref>). Regardless, these findings raise several interesting hypotheses that will require future work with careful determination of temporality and more wholistic examination of stress sensitization, including assessments of affective responsiveness.</p><p id="P27">It should also be considered that our observance of differences in adverse childhood experiences, greater depressive symptoms, and lower psychological resilience are a statistical artifact as a result of expected linear relations among these variables. Thus, an alternative and simpler explanation is that these findings reflect interacting negative impacts of both proximal stress appraisal and chronic stress exposure on VEF, where high perceived stress proximal to the experimental visit superceded, and thus obscured, the effect of chronic stress exposure on VEF (<xref rid="R55" ref-type="bibr">55</xref>). Consequently, the effect of chronic stress exposure on VEF was apparent at low, but not high PSS scores. This finding has important implications for rigor, reproducibility, and study design, indicating that careful measurement of acute (proximal) stress is a necessary consideration when attempting to precisely delineate the effect(s) of chronic stress exposure on VEF. Finally, while it is beyond the scope of this study, it will be important for future studies to better understand how and if factors such as adverse childhood experience exposure, depression, and psychological coping interact in these associations and how this translates to cardiovascular risk, with the goal of identifying interventions that ultimately promote cardiovascular resilience among susceptible populations.</p><p id="P28">There are several strengths, limitations, and considerations to note when considering our findings. First, while our participant sample is representative of the population of the local region in which the data was collected, White/non-Hispanic adults are overrepresented in our sample relative to national ethno-racial demographics. Second, whereas chronic stress exposure and appraisal were the focus of this study, rumination and affective (emotional) responsiveness have been previously associated with reduced endothelial function, such as in those with major depressive disorder (<xref rid="R19" ref-type="bibr">19</xref>), and may not necessarily be dependent on stressor severity. Future studies should include measures of affective responsiveness to elucidate whether these modify the effect of stress exposure on VEF. Additionally, both chronic and proximal stress were assessed via retrospective self-report, which increases risk of response bias (i.e., artificially high levels of stress may have been reported if the day questions were answered was particularly stressful). To partially circumvent this possibility, stress was assessed via multiple modalities, such that the measurement of stress and subsequent conclusions were not entirely dependent on one self-report measure. Furthermore, the scales used to assess stress were implemented at least one week prior to the experimental visit where VEF was assessed to better isolate the effect of chronic versus acute stress. Future studies using a prospective design and daily or semi-daily (e.g., ecological momentary assessments) surveys of naturalistic stressors and stress appraisal would be advantageous. Of consideration, the range of reported perceived stress scores in our sample corresponds qualitatively with &#x0201c;moderate&#x0201d; (e.g., PSS scores of 14&#x02013;26; n=60) and &#x0201c;high&#x0201d; (e.g., PSS scores of 27&#x02013;40; n=5) perceived stress levels. Thus, in our moderation analysis, the association of chronic stress exposure with VEF, as measured by FMD, at low perceived stress (&#x02212;1 SD) is in fact at moderate (~18) perceived stress. However, it is important to consider that these results are representative of young adults, and that this may in fact reflect typical stress levels in this population, particularly in contemporary society (<xref rid="R56" ref-type="bibr">56</xref>).</p><p id="P29">Given that young adulthood is a period of life where individuals are at heightened risk to develop stress disorders (<xref rid="R12" ref-type="bibr">12</xref>, <xref rid="R13" ref-type="bibr">13</xref>) and the alarming recent increases in CVD risk among young adults (<xref rid="R9" ref-type="bibr">9</xref>, <xref rid="R10" ref-type="bibr">10</xref>), our data provide important insight linking chronic stress with CVD risk among this population. More specifically, our findings indicate that the cumulative magnitude of chronic stress exposure is significantly associated with reduced VEF among otherwise healthy young adults. While chronic stressor severity and proximal perceived stress did not directly associate with VEF, proximal perceived stress did moderate the effect of chronic stress exposure on VEF. Therefore, our data highlight reduced VEF as an important pathophysiological mechanism linking chronic stress exposure with CVD risk in young adults, and indicate that the degree to which chronic stress is associated with reduced VEF is dependent on promixal stress appraisal. Accordingly, our findings emphasize that measures of proximal stress are necessary to fully understand the influence of chronic stress exposure on cardiovascular health. Our findings may also suggest that factors such as adverse childhood experiences, depression, and psychological resilience may play a role in stress-exposure related cardiovascular risk, although prospective longitudinal studies will be critical to better understand how these factors interact to ultimately promote cardiovascular risk or resilience.</p></sec></body><back><ack id="S21"><title>Acknowledgements:</title><p id="P30">Data included in this manuscript were collected, in part, with funding provided by a grant from the Iowa Injury Prevention Research Center through the CDC (R49 CE003095; NDMJ and EBKT). We also acknowledge current funding from the National Institutes of Health under award numbers 1R01HL167788 and 2L30HL149066 (NDMJ) and from the American Heart Association under award number 24TPA1290435 (NDMJ). The content is solely the responsibility of the authors and does not necessarily represent the official views of any of the funding agencies. We also acknowledge use of <ext-link xlink:href="https://Biorender.com" ext-link-type="uri">Biorender.com</ext-link> to create the graphical abstract associated with this manuscript. All authors have reviewed and approved the article.</p></ack><fn-group><fn fn-type="COI-statement" id="FN1"><p id="P31"><underline><bold>Disclosures</bold></underline>: The authors report no conflicts of interest.</p></fn></fn-group><ref-list><title>REFERENCES</title><ref id="R1"><label>1.</label><mixed-citation publication-type="journal"><name><surname>Wilkins</surname><given-names>JT</given-names></name>, <name><surname>Ning</surname><given-names>H</given-names></name>, <name><surname>Berry</surname><given-names>J</given-names></name>, <name><surname>Zhao</surname><given-names>L</given-names></name>, <name><surname>Dyer</surname><given-names>AR</given-names></name><bold>, and</bold>
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</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>Figure 1.</label><caption><p id="P32">Simple slope plots resulting from moderation analyses that depict the effect of stress exposure on vascular endothelial function (VEF), as measured by brachial artery flow mediated dilation, at low (&#x02212;1 SD), average, and high-levels (+1 SD) of stressor severity (<bold>Panel A</bold>) or perceived stress (<bold>Panel B</bold>). Data are mean centered.</p></caption><graphic xlink:href="nihms-2085903-f0001" position="float"/></fig><fig position="float" id="F2"><label>Figure 2.</label><caption><p id="P33">(<bold>Panel A</bold>) Plot illustrating the results of the Johnson-Neyman technique to determine the perceived stress score at which the effect of stress exposure on vascular endothelial function (VEF), as measured by brachial artery flow mediated dilation, ceases to be significant, performed using CAHOST (<xref rid="R46" ref-type="bibr">46</xref>). The shaded region represents the perceived stress scores at which the effect of stress exposure on VEF was not significant. (<bold>Panel B</bold>) The simple slopes plot demonstrating the interactions among stress exposure (X), perceived stress (M), and VEF (Y).</p></caption><graphic xlink:href="nihms-2085903-f0002" position="float"/></fig><fig position="float" id="F3"><label>Figure 3.</label><caption><p id="P34">Comparisons of (<bold>Panel A</bold>) ACE exposure, (<bold>Panel B</bold>) depressive symptoms, and (<bold>Panel C</bold>) psychological resilience among individuals above and below the critical perceived stress value at which the association of stress exposure on VEF ceased to be significant (e.g., PSS = 22).</p></caption><graphic xlink:href="nihms-2085903-f0003" position="float"/></fig><table-wrap position="float" id="T1"><label>Table 1.</label><caption><p id="P35">Participant characteristics in full sample (n = 72).</p></caption><table frame="hsides" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1">Characteristic</th><th align="center" valign="middle" rowspan="1" colspan="1">Mean &#x000b1; SE or n (%)</th></tr><tr><th colspan="2" align="left" valign="top" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Age (y)</td><td align="center" valign="middle" rowspan="1" colspan="1">25 &#x000b1; 1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Sex (n (%))</td><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Female</td><td align="center" valign="middle" rowspan="1" colspan="1">53 (74%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Male</td><td align="center" valign="middle" rowspan="1" colspan="1">19 (26%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Race (n (%))</td><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;White</td><td align="center" valign="middle" rowspan="1" colspan="1">58 (81%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Non-White</td><td align="center" valign="middle" rowspan="1" colspan="1">14 (19%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Ethnicity (n (%))</td><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Hispanic-Latino</td><td align="center" valign="middle" rowspan="1" colspan="1">8 (11%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Not Hispanic-Latino</td><td align="center" valign="middle" rowspan="1" colspan="1">64 (89%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day of Menstrual Cycle</td><td align="center" valign="middle" rowspan="1" colspan="1">15 &#x000b1; 2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Birth Control Usage (n (%))</td><td align="center" valign="middle" rowspan="1" colspan="1">18 (25%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Antidepressant Drug Use (n (%))</td><td align="center" valign="middle" rowspan="1" colspan="1">14 (19%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Anxiolytic Drug Use (n (%))</td><td align="center" valign="middle" rowspan="1" colspan="1">16 (22%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">ACE Score</td><td align="center" valign="middle" rowspan="1" colspan="1">2.2 &#x000b1; 0.3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CESD Score</td><td align="center" valign="middle" rowspan="1" colspan="1">15.3 &#x000b1; 1.5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">CD-RISC Score</td><td align="center" valign="middle" rowspan="1" colspan="1">67.8 &#x000b1; 14.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Height (cm)</td><td align="center" valign="middle" rowspan="1" colspan="1">169.0 &#x000b1; 1.1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Weight (kg)</td><td align="center" valign="middle" rowspan="1" colspan="1">72.6 &#x000b1; 1.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">BMI (kg/m<sup>2</sup>)</td><td align="center" valign="middle" rowspan="1" colspan="1">25.5 &#x000b1; 0.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Heart Rate (bpm)</td><td align="center" valign="middle" rowspan="1" colspan="1">74 &#x000b1; 1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Systolic Blood Pressure (mmHg)</td><td align="center" valign="middle" rowspan="1" colspan="1">119 &#x000b1; 1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Diastolic Blood Pressure (mmHg)</td><td align="center" valign="middle" rowspan="1" colspan="1">77 &#x000b1; 1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Fasting Blood Glucose (mg/dL)</td><td align="center" valign="middle" rowspan="1" colspan="1">92 &#x000b1; 1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Fasting Total Cholesterol (mg/dL)</td><td align="center" valign="middle" rowspan="1" colspan="1">169 &#x000b1; 4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Fasting HDL Cholesterol (mg/dL)</td><td align="center" valign="middle" rowspan="1" colspan="1">53 &#x000b1; 2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Baseline Arterial Diameter (mm)</td><td align="center" valign="middle" rowspan="1" colspan="1">3.13 &#x000b1; 0.05</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Peak Arterial Diameter (mm)</td><td align="center" valign="middle" rowspan="1" colspan="1">3.34 &#x000b1; 0.06</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Shear Rate AUC</td><td align="center" valign="middle" rowspan="1" colspan="1">19,453 &#x000b1; 978</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">FMD (%)</td><td align="center" valign="middle" rowspan="1" colspan="1">6.7 &#x000b1; 0.4%</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">nFMD (%/SR<sub>AUC</sub>)</td><td align="center" valign="middle" rowspan="1" colspan="1">3.7 &#x000b1; 0.2</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P36"><bold>Abbreviations</bold>: ACE, adverse childhood experiences; CESD, center for epidemiologic studies depression; CD-RISC, Connor-Davidson Resilience Scale; BMI, body mass index; AUC, area under the curve; FMD, flow mediated dilation; SR, shear rate</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2"><label>Table 2.</label><caption><p id="P37">The relations between stress exposure, stressor severity, and perceived stress with VEF, adjusted for age and sex.</p></caption><table frame="hsides" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Predictor</th><th align="center" valign="top" rowspan="1" colspan="1">&#x00392;<sub>0</sub> (SE)</th><th align="center" valign="top" rowspan="1" colspan="1">B<sub>1</sub> (SE)</th><th align="center" valign="top" rowspan="1" colspan="1">&#x003b2;<sub>1</sub> (95% CI)</th><th align="center" valign="top" rowspan="1" colspan="1">t</th><th align="center" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</th></tr><tr><th colspan="6" align="left" valign="top" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Stress Exposure</td><td align="center" valign="top" rowspan="1" colspan="1">4.94 (1.10)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.23 (0.11)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.24 (&#x02212;0.45 &#x02013; &#x02212;0.005)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;2.04</td><td align="center" valign="top" rowspan="1" colspan="1">0.045</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Stressor Severity</td><td align="center" valign="top" rowspan="1" colspan="1">3.85 (1.25)</td><td align="center" valign="top" rowspan="1" colspan="1">0.16 (0.29)</td><td align="center" valign="top" rowspan="1" colspan="1">0.07 (&#x02212;0.40 &#x02013; 0.74)</td><td align="center" valign="top" rowspan="1" colspan="1">0.58</td><td align="center" valign="top" rowspan="1" colspan="1">0.56</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Perceived Stress</td><td align="center" valign="top" rowspan="1" colspan="1">6.91 (1.99)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.11 (0.07)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.21 (&#x02212;0.24 &#x02013; 0.03)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;1.61</td><td align="center" valign="top" rowspan="1" colspan="1">0.11</td></tr></tbody></table><table-wrap-foot><fn id="TFN2"><p id="P38">B<sub>0</sub>, unstandardized intercept coefficient; B<sub>1</sub>, unstandardized predictor coefficient, &#x003b2;<sub>1</sub>, standardized predictor coefficient. t and p-values are shown for predictors (B<sub>1</sub>).</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3"><label>Table 3.</label><caption><p id="P39">Moderation effects of stress appraisal on relation between stress exposure and VEF.</p></caption><table frame="hsides" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Moderation Effect</th><th align="center" valign="top" rowspan="1" colspan="1">Effect Estimate (SE)</th><th align="center" valign="top" rowspan="1" colspan="1">Z-value</th><th align="center" valign="top" rowspan="1" colspan="1"><italic toggle="yes">p</italic>-value</th></tr><tr><th colspan="4" align="left" valign="top" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Stress Exposure &#x000d7; Stressor Severity</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.07 (0.11)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02212;0.62</td><td align="center" valign="top" rowspan="1" colspan="1">0.54</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Stress Exposure &#x000d7; Perceived Stress</td><td align="center" valign="top" rowspan="1" colspan="1">0.06 (0.03)</td><td align="center" valign="top" rowspan="1" colspan="1">2.00</td><td align="center" valign="top" rowspan="1" colspan="1">0.046</td></tr></tbody></table></table-wrap></floats-group></article>