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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2025.1502890</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Determining the interconnection between personality and physical activity on perceived stress in a diverse sample</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Courtney</surname>
<given-names>Rena Elizabeth</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Schadegg</surname>
<given-names>Mary Josephine</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Brice</surname>
<given-names>Patrick</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Friedman</surname>
<given-names>Bruce H.</given-names>
</name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/41147/overview"/>
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<contrib contrib-type="author">
<name>
<surname>Fanning</surname>
<given-names>Jason</given-names>
</name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>PREVAIL Center for Chronic Pain, Salem VA Health Care System</institution>, <addr-line>Salem, VA</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Psychiatry and Behavioral Medicine, Virginia Tech Carilion School of Medicine</institution>, <addr-line>Roanoke, VA</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>Veterans Integrated Service Network 6 Mental Illness Research, Education, and Clinical Center (VISN 6 MIRECC)</institution>, <addr-line>Durham, NC</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Psychiatry, NYU Grossman School of Medicine</institution>, <addr-line>New York, NY</addr-line>, <country>United States</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Psychology, Gallaudet University</institution>, <addr-line>Washington, DC</addr-line>, <country>United States</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Psychology, Virginia Tech</institution>, <addr-line>Blacksburg, VA</addr-line>, <country>United States</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Health and Exercise Science, Wake Forest University</institution>, <addr-line>Winston-Salem, NC</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/112442/overview">Yuka Kotozaki</ext-link>, Iwate Medical University, Japan</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1133886/overview">Adele Minutillo</ext-link>, National Institute of Health (ISS), Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1457760/overview">Ratko Pavlovi&#x0107;</ext-link>, University of East Sarajevo, Bosnia and Herzegovina</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2976230/overview">Jayeshkumar Kanani</ext-link>, Surat Municipal Corporation, India</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Rena Elizabeth Courtney, <email>rena.courtney2@va.gov</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1502890</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Courtney, Schadegg, Brice, Friedman and Fanning.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Courtney, Schadegg, Brice, Friedman and Fanning</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 id="sec1">
<title>Introduction</title>
<p>Stress is considered an epidemic with far-reaching deleterious impacts across multiple domains while engagement in physical activity (PA), a proven way to reduce perceived stress (PS), remains low. The purpose of this study was to determine whether the Five Factor Model (FFM) personality factors and self-reported PA have independent main effects on PS, and to examine the interaction between PA and personality on PS. We predicted that neuroticism, extraversion, conscientiousness, and PA would predict PS.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A cross-sectional study was conducted. Participants were adults without anxiety disorders who completed online surveys including the IPIP-NEO-120, PSS-10, and IPAQ-Long. An iterative series of linear regressions were used to determine whether personality characteristics and PA were related to PS and to detect interactive effects.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>The final sample included 276 participants who were, on average, mostly non-White (62%), reported moderate level of PS (Mean PSS Total Score&#x202F;=&#x202F;17.01, SD&#x202F;=&#x202F;6.74), and reported high levels of PA (Mean Total MET-minutes per week&#x202F;=&#x202F;2,994.81, SD&#x202F;=&#x202F;2,620.92). The hypothesis was partially supported such that neuroticism (<italic>B</italic>&#x202F;=&#x202F;0.02, <italic>p</italic>&#x202F;=&#x202F;&#x003C;0.001) and conscientiousness (<italic>B</italic>&#x202F;=&#x202F;0.02, <italic>p</italic>&#x202F;=&#x202F;&#x003C;0.001) predicted PS, though PA did not. Only openness to experience demonstrated an interactive effect, with those high in openness to experience and PA tended to have higher PS.</p>
</sec>
<sec id="sec4">
<title>Discussion</title>
<p>This study provides additional support for the relationship between the FFM of personality and PS. Future studies on the connection between PS, personality, and PA may benefit from the use of a combined approach, including both self-report and objective measures of PA.</p>
</sec>
</abstract>
<kwd-group>
<kwd>exercise</kwd>
<kwd>individual differences</kwd>
<kwd>precision medicine</kwd>
<kwd>mental health</kwd>
<kwd>personality</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="9"/>
<word-count count="6554"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Sport Psychology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Chronic stress, defined as stress resulting from an &#x201C;eliciting stimulus that remains in the environment for an extended period of time&#x201D; (p. 28) (<xref ref-type="bibr" rid="ref39">Miller et al., 2007</xref>), is considered an epidemic in modern society (<xref ref-type="bibr" rid="ref40">Newbegin, 2014</xref>; <xref ref-type="bibr" rid="ref51">Siervo et al., 2009</xref>). This epidemic results (<xref ref-type="bibr" rid="ref39">Miller et al., 2007</xref>) in numerous long-term negative implications for mental and physical health, quality of life, and all-cause mortality (<xref ref-type="bibr" rid="ref13">Da Estrela et al., 2021</xref>; <xref ref-type="bibr" rid="ref47">Rodgers et al., 2021</xref>; <xref ref-type="bibr" rid="ref48">Rohleder, 2019</xref>; <xref ref-type="bibr" rid="ref59">Yaribeygi et al., 2017</xref>). Specifically, the presence of stress has been linked to the progression, onset, and severity of several long-term health outcomes including obesity, cardiovascular disease, cancer, insomnia, pain, anxiety, depression, executive and cognitive dysfunction, and death, including death by suicide (<xref ref-type="bibr" rid="ref7">Chrousos, 2009</xref>; <xref ref-type="bibr" rid="ref8">Cohen et al., 2007</xref>; <xref ref-type="bibr" rid="ref14">Dai et al., 2020</xref>; <xref ref-type="bibr" rid="ref27">Gallagher et al., 2018</xref>; <xref ref-type="bibr" rid="ref34">Lagraauw et al., 2015</xref>; <xref ref-type="bibr" rid="ref41">&#x00D8;ster&#x00E5;s et al., 2015</xref>; <xref ref-type="bibr" rid="ref32">Kanani and Sheikh, 2024</xref>).</p>
<p>Physical activity (PA), which is considered any bodily movement that expends energy above a basal level (<xref ref-type="bibr" rid="ref53">U.S. Department of Health and Human Services, 2018</xref>), has emerged as an effective prevention and treatment strategy for perceived stress (PS). Current guidelines recommend at least 150&#x202F;min of moderate PA or 75&#x202F;min of vigorous PA and muscle strengthening exercises at least 2&#x202F;days per week for optimum benefit, including reduced PS (<xref ref-type="bibr" rid="ref53">U.S. Department of Health and Human Services, 2018</xref>). Engagement in these recommended levels of PA, regardless of the domain (e.g., biking, walking, swimming, running) is generally regarded as a useful lifestyle approach to stress management (<xref ref-type="bibr" rid="ref26">Franklin et al., 2021</xref>), with benefits for both physical (<xref ref-type="bibr" rid="ref30">Kaminsky et al., 2022</xref>; <xref ref-type="bibr" rid="ref54">Vi&#x00F1;a et al., 2012</xref>) and mental (<xref ref-type="bibr" rid="ref17">DeBoer et al., 2012</xref>; <xref ref-type="bibr" rid="ref16">De la Rosa et al., 2020</xref>; <xref ref-type="bibr" rid="ref49">Salmon, 2001</xref>) health, and a decreased risk for mortality (<xref ref-type="bibr" rid="ref60">Zhao et al., 2020</xref>). Thus, manualized treatments that aim to increase engagement in PA, thereby reducing PS and improving mental health disorders, have become widely available. However, the relationship between PA and PS is not always linear (<xref ref-type="bibr" rid="ref49">Salmon, 2001</xref>) and few people engage in the recommended levels of PA long-term (<xref ref-type="bibr" rid="ref24">Evenson et al., 2015</xref>; <xref ref-type="bibr" rid="ref57">Yang et al., 2019</xref>). Furthermore, emerging evidence suggests that many individuals do not in fact experience improvements in affect or PS <italic>during</italic> an activity bout, and factors such as activity intensity can contribute to worsening feelings of PS or aversion (<xref ref-type="bibr" rid="ref50">Shimura et al., 2023</xref>; <xref ref-type="bibr" rid="ref43">Petruzzello et al., 1991</xref>; <xref ref-type="bibr" rid="ref4">Box and Petruzzello, 2020</xref>). The complex relationship between PA and affect involves several factors such as autonomy, weight, anxiety sensitivity, fitness level, fitness phobia, and exercise intensity which may increase negative affect, including PS (<xref ref-type="bibr" rid="ref21">Ekkekakis and Lind, 2006</xref>; <xref ref-type="bibr" rid="ref22">Ekkekakis et al., 2010</xref>; <xref ref-type="bibr" rid="ref20">Ekkekakis et al., 2005</xref>). Given PS&#x2019; prevalence and far-reaching deleterious impacts, as well as the heterogeneous impact of PA on affect, understanding individual differences that would improve the impact of PA on PS are vital. One of these individual differences may be personality. After all, the same stressor may cause a variety of reactions that vary in duration, expression, and intensity in different people based on personality (<xref ref-type="bibr" rid="ref8">Cohen et al., 2007</xref>).</p>
<p>Personality, (e.g., individual variations in persons <xref ref-type="bibr" rid="ref25">Fowers et al., 2023</xref>), is one of the key contributors to individual differences in stress responses (<xref ref-type="bibr" rid="ref3">Bowling et al., 2005</xref>), including both perception of stressors and stress reactivity (<xref ref-type="bibr" rid="ref8">Cohen et al., 2007</xref>). Among the personality theories tested in the last several decades, the Five Factor Model of personality (i.e., The Big Five; FFM) produces personality profiles that are significantly correlated with PS (<xref ref-type="bibr" rid="ref33">Kotov et al., 2010</xref>; <xref ref-type="bibr" rid="ref36">Lou and Li, 2023</xref>; <xref ref-type="bibr" rid="ref45">Ringwald et al., 2024</xref>; <xref ref-type="bibr" rid="ref55">Williams and Carlson, 2024</xref>). FFM posits that personality is best characterized across five domains, including neuroticism, extraversion, conscientiousness, agreeableness, and openness to experience (<xref ref-type="bibr" rid="ref10">Costa and McCrae, 1992</xref>). FFM has been validated globally (<xref ref-type="bibr" rid="ref38">McCrae and Costa, 1987</xref>), and neuroticism appears to have the strongest relationship with PS such that those high in neuroticism experience more stressors and perceive stress as more intense (<xref ref-type="bibr" rid="ref45">Ringwald et al., 2024</xref>). Studies have also validated FFM&#x2019;s ability to predict stress-related negative outcomes, for example low openness and the experience of PS appear to interact to worsen sleep (<xref ref-type="bibr" rid="ref55">Williams and Carlson, 2024</xref>) and increase poor cardiac outcomes (<xref ref-type="bibr" rid="ref27">Gallagher et al., 2018</xref>).</p>
<p>One may posit that the complex, heterogeneous nature of the PA-PS relationship may be in part related to differences in personality. For instance, it may be that those with higher neuroticism are more likely to experience PA as a stressor, while those higher in conscientiousness tend to experience the same stimulus as relaxing or enjoyable. Recent studies have suggested personality factors relate to both short-term and long-term PA engagement, as well as PA enjoyment (<xref ref-type="bibr" rid="ref5">Caille et al., 2024</xref>; <xref ref-type="bibr" rid="ref18">Dominski et al., 2020</xref>; <xref ref-type="bibr" rid="ref19">Dominski et al., 2021</xref>; <xref ref-type="bibr" rid="ref23">Engels et al., 2022</xref>; <xref ref-type="bibr" rid="ref28">Huang et al., 2024</xref>). Yet, to date, no study to our knowledge has explored the interaction between PA and personality on PS. This knowledge of individual differences impacting PA will be key in moving the field of stress management toward person-centered and precision medicine (<xref ref-type="bibr" rid="ref58">Yardley and Campbell, 2020</xref>), an approach that encourages tailored treatments to the individual patient based on that patient&#x2019;s individual differences. Thus, the purpose of this study is to determine if any FFM personality factor moderates the PA-PS relationship and if so in what direction. Based on the literature, we predict that neuroticism, extraversion, conscientiousness, and PA will predict PS. Given the paucity of the research, we did not have <italic>a priori</italic> hypotheses regarding interaction effects.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<title>Materials and methods</title>
<sec id="sec7">
<title>Participants</title>
<p>A convenience sample was utilized, targeting a broad audience. To participate, participants had to be over the age of 18. Exclusion criteria included a history of any anxiety disorder, a current physical injury, a chronic illness that prevented engagement in exercise, and pregnancy. Informed consent was obtained from all participants prior to their participation. Participants were told the purpose of the study was to understand the connection between personality, exercise and stress and that the survey would take about 60&#x202F;min. Participants were told they would not be compensated directly, but that those who voluntarily completed the survey would be allowed to choose between three non-profit organizations for the principal investigator to donate to on their behalf. Participants were also told no personal information would be collected and that their anonymous data would be stored in a confidential manner by the principal investigator (first author). The study was approved by the Institutional Review Board at Gallaudet University.</p>
<p>Only participants who provided informed consent, were eligible, and completed all questionnaires and provided responses that were within expectations (e.g., total minutes of exercise [not PA] per day were under 24&#x202F;h) were included.<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> Eligibility for the study was confirmed by eliminating participants that provided answers on the demographic questionnaire that would render them ineligible to participate (e.g., history of anxiety disorder). Timestamps were unavailable from the survey platform and therefore unusual completion times could not be excluded. However, each participant was assigned a unique responder ID, which prevented redundant submissions.</p>
</sec>
<sec id="sec8">
<title>Materials</title>
<p>The instruments below were included in an open survey on the Survey Monkey platform. Items were not randomized or alternated. Adaptive questioning and completion checks were not used, and items were displayed for one questionnaire at a time. Participants were not allowed to check their answers before submitting. Unique sit visitor, cookies, log file analysis, IP checks, and view rates were not made available by the survey platform.</p>
<sec id="sec9">
<title>Perceived Stress Scale (primary outcome)</title>
<p>The Perceived Stress Scale-10 (PSS-10) is one of the most widely used self-report measures, containing 10 questions about how much stress an individual has perceived in the last month (<xref ref-type="bibr" rid="ref9">Cohen et al., 1983</xref>; <xref ref-type="bibr" rid="ref35">Lee, 2012</xref>). The PSS-10 takes approximately 10&#x202F;min to administer. Although the questionnaire has been published using a 14-item, 10-item and 4-item format, <xref ref-type="bibr" rid="ref35">Lee (2012)</xref> reviewed the literature published on these measures and concluded that the psychometric properties were highest for the 10-item version which was used in the current study. Further, the PSS-10 demonstrated an average Cronbach&#x2019;s alpha of 0.84 for reliability (<xref ref-type="bibr" rid="ref35">Lee, 2012</xref>). Other studies have supported this conclusion and concluded that the PSS-10 is a valid measure with diverse populations, with a Cronbach&#x2019;s alpha of 0.82 (<xref ref-type="bibr" rid="ref1">Andreou et al., 2011</xref>; <xref ref-type="bibr" rid="ref46">Roberti et al., 2006</xref>).</p>
</sec>
<sec id="sec10">
<title>International Physical Activity Questionnaire (IPAQ; predictor)</title>
<p>To assess the amount of PA the participants engaged in during the last week, the International Physical Activity Questionnaire - Long Version (IPAQ-long) was used. The self-report measure consists of 27 questions that describe the duration, frequency, intensity, and type of PA one has participated in within the last week. Specifically, the person is asked to answer how many days per week, as well as hours and minutes per day they participated in the following categories of activities: Bicycling for Transportation, Walking for Transportation, Moderate Housework Inside, Vigorous Housework Outside, Moderate Housework Outside, Moderate Leisure Activity, Vigorous Leisure Activity, Walking Leisure Activity. Each response is converted into total minutes per week and then multiplied by a metabolic equivalent (MET) weighting to compute MET minutes per week, and then summed to obtain the individual&#x2019;s total MET&#x2019;s per week. The total METs can also be interpreted using categorical scores including low, moderate and high levels of PA (see text footnote 1). The administration time for this assessment was approximately 20&#x202F;min.</p>
<p><xref ref-type="bibr" rid="ref12">Craig et al. (2003)</xref> assessed the reliability and validity of the IPAQ-long in 12 different countries and determined that it demonstrated a test&#x2013;retest reliability rate of 0.8, a concurrent validity rate of 0.67 and a criterion validity rate of 0.33 (pooled rho). Therefore, these researchers determined that the IPAQ-long was as reliable and valid as most other self-report measures and could be used with diverse populations (<xref ref-type="bibr" rid="ref12">Craig et al., 2003</xref>). Further, the American Heart Association supports the use of the IPAQ as a short recall PA questionnaire (<xref ref-type="bibr" rid="ref52">Strath et al., 2013</xref>).</p>
</sec>
<sec id="sec11">
<title>International Personality Item Pool-NEO- 120-item Version (predictor)</title>
<p>The International Personality Item Pool-NEO- 120-item Version (IPIP-NEO-120) is a measure that was developed to mirror the NEO- Personality Inventory- Revised (NEO-PI-R). Similar to the NEO-PI-R, the IPIP-NEO-120 is based on the FFM theory of personality (<xref ref-type="bibr" rid="ref11">Costa and McCrae, 2008</xref>; <xref ref-type="bibr" rid="ref29">Johnson, 2014</xref>). This questionnaire measures personality using five factors, namely neuroticism, extraversion, openness to experience, agreeableness and conscientiousness. In addition, the measure also provides scores for six subscales associated with each main factor, resulting in scores on 30 dimensions. The test requires approximately 20&#x202F;min to complete and is provided in a multiple-choice format.</p>
<p>In a study based on more than 21,000 participants, <xref ref-type="bibr" rid="ref29">Johnson (2014)</xref> found that the IPIP-NEO-120 correlated with the well-established NEO-PI-R with alpha levels ranging between 0.76 and 0.87 for each of the personality dimensions (<xref ref-type="bibr" rid="ref29">Johnson, 2014</xref>). In addition, the alpha reliability coefficients for the IPIP-NEO-120 ranging from 0.81 to 0.90 were obtained in a sample of more than 610,000 participants (<xref ref-type="bibr" rid="ref29">Johnson, 2014</xref>). Based on these findings, <xref ref-type="bibr" rid="ref29">Johnson (2014)</xref> concluded that the IPIP-NEO-120 is a valid and reliable assessment of personality.</p>
</sec>
</sec>
<sec id="sec12">
<title>Procedures</title>
<p>Participants were recruited by listing the open survey link from the Survey Monkey platform on the Amazon Mechanical Turk website. The survey link was also listed on flyers posted at two universities and throughout two communities within the Mid-Atlantic region of the United States. The electronic survey was tested for usability and technical functionality prior to its use in this study and included validated instruments described above. The survey was voluntary and only items related to informed consent were required. Once the participant clicked the link to the online survey, they were asked to fill out screening questions that determined their suitability for the current study. If they did not meet criteria, a short explanation appeared on the screen stating that their answers indicated a lack of fit with the current study. If, however, they did meet criteria based on the screening questionnaires, the informed consent form appeared. The participant indicated their agreement to participate by selecting the &#x201C;I agree&#x201D; button at the bottom of the online consent form. The participant then had access to the aforementioned questionnaires. Data were collected in early 2017.</p>
</sec>
<sec id="sec13">
<title>Analysis</title>
<p>Descriptive statistics were used to describe demographics. Visual inspections of histograms were used to investigate normality. Given the non-normal distribution of PA scores, Spearman correlations between all variables were also conducted to determine the relationships. To investigate the extent to which PA and personality factors predict PS on their own or in combination, we fit a series of linear regression models. First, we fit separate models for each key predictor (i.e., single-predictor models). Next, we explored for interactions between each personality factor and PA in separate models. Finally, we fit a model including all main effects and interactions with <italic>p</italic>&#x202F;&#x003C;&#x202F;0.10, retaining any main effects that are part of an interaction. To aid in interpretation of any interaction effects, we inspected predicted PS scores for model individuals with high (i.e., one standard deviation above the mean) and low (i.e., one standard deviation below them) values for each variable in the interaction, and values for all other variables in the model equal to the mean for the sample. Visual inspection of the residual histogram was used to determine normality of residuals in the final model, and investigation of correlations and variance inflation factor was used to inspect for multicollinearity. Significance was established at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05. All analyses were conducted in SPSS version 29 (IBM Corp., Armonk, NY).</p>
</sec>
</sec>
<sec sec-type="results" id="sec14">
<title>Results</title>
<p>Six hundred thirty-six participants were screened for eligibility in the current study. Of those, 595 consented to participate and self-reported being eligible for participation. Another 56 were removed after validation checks deemed them ineligible due to age and self-reported history of an anxiety disorder. Two hundred sixty-three participants were missing data. Those who completed surveys showed very high conscientiousness scores which may have contributed to their decision to complete the surveys. Statistical comparisons between groups were not possible since those who did not complete the surveys did not have personality data. Taken together, these data did not appear to be missing at random and the use of multiple imputation was precluded. These participants were excluded from this study, resulting in a final sample of 276.</p>
<p>In total, 47% of participants were female, 38% were White, 26% were Asian American, 6% were Black, and 6% were Hispanic/Latino, with the majority of participants reporting regular engagement in, enjoyment of, and motivation to engage in exercise (see <xref ref-type="table" rid="tab1">Tables 1</xref>, <xref ref-type="table" rid="tab2">2</xref>). Ninety three percent of the sample reported at least some college education and 75.4% reported participating in high school sports. Fourteen percent reported being diagnosed with a mental illness other than anxiety and nearly half (48.2%) reported experiencing an event that caused more PS than normal in the last month.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Demographic information (<italic>N</italic>&#x202F;=&#x202F;276).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristic</th>
<th align="center" valign="top">%</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="2">Gender</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">53.3</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">46.0</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="center" valign="top">0.4</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Race</td>
</tr>
<tr>
<td align="left" valign="top">Caucasian/White</td>
<td align="center" valign="top">38.4</td>
</tr>
<tr>
<td align="left" valign="top">Black/African American</td>
<td align="center" valign="top">6.2</td>
</tr>
<tr>
<td align="left" valign="top">Hispanic/Latino</td>
<td align="center" valign="top">5.8</td>
</tr>
<tr>
<td align="left" valign="top">Native American/Alaskan Native</td>
<td align="center" valign="top">1.1</td>
</tr>
<tr>
<td align="left" valign="top">Asian American</td>
<td align="center" valign="top">26.1</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="center" valign="top">20.3</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Marital status</td>
</tr>
<tr>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">45.7</td>
</tr>
<tr>
<td align="left" valign="top">Divorced</td>
<td align="center" valign="top">3.3</td>
</tr>
<tr>
<td align="left" valign="top">Never married</td>
<td align="center" valign="top">40.6</td>
</tr>
<tr>
<td align="left" valign="top">Widowed</td>
<td align="center" valign="top">0.7</td>
</tr>
<tr>
<td align="left" valign="top">Separated</td>
<td align="center" valign="top">1.8</td>
</tr>
<tr>
<td align="left" valign="top">Living with someone</td>
<td align="center" valign="top">8.0</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Education level</td>
</tr>
<tr>
<td align="left" valign="top">Some high school</td>
<td align="center" valign="top">0.4</td>
</tr>
<tr>
<td align="left" valign="top">Graduated high school</td>
<td align="center" valign="top">6.5</td>
</tr>
<tr>
<td align="left" valign="top">Some college</td>
<td align="center" valign="top">21.0</td>
</tr>
<tr>
<td align="left" valign="top">Graduated college (4-year degree)</td>
<td align="center" valign="top">42.4</td>
</tr>
<tr>
<td align="left" valign="top">Some graduate school</td>
<td align="center" valign="top">6.2</td>
</tr>
<tr>
<td align="left" valign="top">Completed graduate school</td>
<td align="center" valign="top">23.6</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Physical activity history</td>
</tr>
<tr>
<td align="left" valign="top">Engaged in physical activity on a regular basis in the last month (% yes)</td>
<td align="center" valign="top">80.8</td>
</tr>
<tr>
<td align="left" valign="top">Motivated to exercise</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Not motivated /not very motivated</td>
<td align="center" valign="top">41.7</td>
</tr>
<tr>
<td align="left" valign="top">Somewhat motivated</td>
<td align="center" valign="top">39.1</td>
</tr>
<tr>
<td align="left" valign="top">Very motivated</td>
<td align="center" valign="top">15.2</td>
</tr>
<tr>
<td align="left" valign="top">Exercise Enjoyment</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Do not enjoy/do not enjoy very much</td>
<td align="center" valign="top">50.4</td>
</tr>
<tr>
<td align="left" valign="top">Somewhat enjoy</td>
<td align="center" valign="top">47.8</td>
</tr>
<tr>
<td align="left" valign="top">Participated in high school sports (% yes)</td>
<td align="center" valign="top">75.4</td>
</tr>
<tr>
<td align="left" valign="top">Participated in college sports (% yes)</td>
<td align="center" valign="top">47.5</td>
</tr>
<tr>
<td align="left" valign="top" colspan="2">Mental health history</td>
</tr>
<tr>
<td align="left" valign="top">Diagnosed with mental illness (% yes)</td>
<td align="center" valign="top">14.9</td>
</tr>
<tr>
<td align="left" valign="top">Depression</td>
<td align="center" valign="top">9.8</td>
</tr>
<tr>
<td align="left" valign="top">Other mood disorder</td>
<td align="center" valign="top">2.1</td>
</tr>
<tr>
<td align="left" valign="top">Psychotic disorder</td>
<td align="center" valign="top">0.7</td>
</tr>
<tr>
<td align="left" valign="top">Developmental disorder</td>
<td align="center" valign="top">1.8</td>
</tr>
<tr>
<td align="left" valign="top">Eating disorder</td>
<td align="center" valign="top">2.2</td>
</tr>
<tr>
<td align="left" valign="top">Substance use disorder</td>
<td align="center" valign="top">1.1</td>
</tr>
<tr>
<td align="left" valign="top">Trauma related disorder</td>
<td align="center" valign="top">0.4</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="center" valign="top">1.5</td>
</tr>
<tr>
<td align="left" valign="top">Unsure</td>
<td align="center" valign="top">2.9</td>
</tr>
<tr>
<td align="left" valign="top">Seen by a mental health professional (% yes)</td>
<td align="center" valign="top">36.6</td>
</tr>
<tr>
<td align="left" valign="top">Experienced a stressful event in the last month that caused more stress than normal (% yes)</td>
<td align="center" valign="top">48.2</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Mean scores for perceived stress, self-reported physical activity, and big five personality traits (<italic>N</italic>&#x202F;=&#x202F;276).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Measure</th>
<th align="center" valign="top">Mean</th>
<th align="center" valign="top">SD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">PSS-10</td>
<td align="center" valign="top">17.01</td>
<td align="center" valign="top">6.74</td>
</tr>
<tr>
<td align="left" valign="top">IPAQ-10 Total MET</td>
<td align="center" valign="top">2994.81</td>
<td align="center" valign="top">2620.92</td>
</tr>
<tr>
<td align="left" valign="top">IPIP-NEO Neuroticism</td>
<td align="center" valign="top">65.13</td>
<td align="center" valign="top">16.2</td>
</tr>
<tr>
<td align="left" valign="top">IPIP-NEO Conscientiousness</td>
<td align="center" valign="top">87.28</td>
<td align="center" valign="top">15.36</td>
</tr>
<tr>
<td align="left" valign="top">IPIP-NEO Extraversion</td>
<td align="center" valign="top">76.5</td>
<td align="center" valign="top">13.45</td>
</tr>
<tr>
<td align="left" valign="top">IPIP-NEO Agreeableness</td>
<td align="center" valign="top">85.27</td>
<td align="center" valign="top">14.33</td>
</tr>
<tr>
<td align="left" valign="top">IPIP-NEO Openness to Experience</td>
<td align="center" valign="top">79.91</td>
<td align="center" valign="top">12.11</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Prior to conducting regression modeling, visual inspection confirmed the assumption of normal residuals, and correlations and variance inflation factor did not suggest issues with collinearity. In single predictor models, neuroticism (<italic>B</italic>&#x202F;=&#x202F;0.259, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) explained the most variance in PS, followed by conscientiousness (<italic>B</italic>&#x202F;=&#x202F;&#x2212;0.191, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), extraversion (<italic>B</italic>&#x202F;=&#x202F;&#x2212;0.137, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), and agreeableness (<italic>B</italic>&#x202F;=&#x202F;&#x2212;0.099, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). PA and openness to experience did not significantly predict PS. In simple interaction models, only openness to experience X PA was significant (<italic>B</italic>&#x202F;=&#x202F;3.35, <italic>p</italic>&#x202F;=&#x202F;0.014) suggesting that among those with high openness scores, more PA was associated with higher PS. The opposite was true among those with low openness scores (see <xref ref-type="fig" rid="fig1">Figure 1</xref>). The openness to experience X PA interaction was somewhat mitigated in a final model (see <xref ref-type="table" rid="tab3">Tables 3</xref>, <xref ref-type="table" rid="tab4">4</xref>), such that the pattern remained consistent but was no longer statistically significant (<italic>p</italic>&#x202F;=&#x202F;0.066). In this final model, conscientiousness was negatively associated with PS (<italic>B</italic>&#x202F;=&#x202F;0.087, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and neuroticism was positively associated with PS (<italic>B</italic>&#x202F;=&#x202F;0.221, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Agreeableness was not retained in the final model.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Depiction of the physical activity x openness to experience interaction. Graph depicts predicted stress scores; high values represent 1 SD above the mean, low values represent 1 SD below the mean.</p>
</caption>
<graphic xlink:href="fpsyg-16-1502890-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar graph titled "Physical Activity X Openness to Experience Interaction." It shows two groups: high and low openness to experience, each with high and low physical activity levels. High openness, high activity scores around 18, low activity about 17. Low openness, high activity scores approximately 16, low activity around 17.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Spearman&#x2019;s correlations perceived stress, self-reported physical activity, and big five personality traits (<italic>N</italic> =&#x202F;276).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Measure</th>
<th align="center" valign="top">PSS-10</th>
<th align="center" valign="top">IPAQ Total MET</th>
<th align="center" valign="top">IPIP-NEO-E</th>
<th align="center" valign="top">IPIP-NEO-A</th>
<th align="center" valign="top">IPIP-NEO-C</th>
<th align="center" valign="top">IPIP-NEO-N</th>
<th align="center" valign="top">IPIP-NEO-O</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">PSS-10</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x2212;0.11</td>
<td align="center" valign="top">&#x2212;0.24&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.24&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.45&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">0.63&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.07</td>
</tr>
<tr>
<td align="left" valign="top">IPAQ Total MET</td>
<td align="center" valign="top">&#x2212;0.11</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">0.13&#x002A;</td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">0.11</td>
<td align="center" valign="top">&#x2212;0.10</td>
<td align="center" valign="top">0.04</td>
</tr>
<tr>
<td align="left" valign="top">IPIP-NEO Extraversion (IPIP-NEO-E)</td>
<td align="center" valign="top">&#x2212;0.24&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">0.13&#x002A;</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">0.10</td>
<td align="center" valign="top">0.29&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.24&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">0.29&#x002A;&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">IPIP-NEO Agreeableness (IPIP-NEO-A)</td>
<td align="center" valign="top">&#x2212;0.24&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">0.10</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">0.57&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.34&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">0.43&#x002A;&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">IPIP-NEO Conscientiousness (IPIP-NEO-C)</td>
<td align="center" valign="top">&#x2212;0.45&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">0.11</td>
<td align="center" valign="top">0.29&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">0.57&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x2212;0.54&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">0.36&#x002A;&#x002A;&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">IPIP-NEO Neuroticism (IPIP-NEO-N)</td>
<td align="center" valign="top">0.63&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.10</td>
<td align="center" valign="top">&#x2212;0.24&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.34&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.54&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">&#x2212;0.12&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">IPIP-NEO Openness to Experience (IPIP-NEO-O)</td>
<td align="center" valign="top">&#x2212;0.07</td>
<td align="center" valign="top">0.04</td>
<td align="center" valign="top">0.29&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">0.43&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">0.36&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x2212;0.12&#x002A;</td>
<td align="center" valign="top">1.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;&#x002A; <italic>p</italic>&#x202F;&#x2265;&#x202F;0.001.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Final model determining the moderating relationship between personality, exercise behavior and perceived stress (<italic>n</italic>&#x202F;=&#x202F;276).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">
<italic>B</italic>
</th>
<th align="center" valign="top">SE B</th>
<th align="center" valign="top">&#x03B2;</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Constant</td>
<td align="center" valign="top">16.166</td>
<td align="center" valign="top">3.308</td>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Extraversion</td>
<td align="center" valign="top">&#x2212;0.047</td>
<td align="center" valign="top">0.026</td>
<td align="center" valign="top">&#x2212;0.093</td>
<td align="center" valign="top">0.078</td>
</tr>
<tr>
<td align="left" valign="top">Conscientiousness</td>
<td align="center" valign="top">&#x2212;0.087</td>
<td align="center" valign="top">0.026</td>
<td align="center" valign="top">&#x2212;0.199</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Neuroticism</td>
<td align="center" valign="top">0.221</td>
<td align="center" valign="top">0.021</td>
<td align="center" valign="top">0.531</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Openness to Experience</td>
<td align="center" valign="top">&#x2212;0.030</td>
<td align="center" valign="top">0.044</td>
<td align="center" valign="top">&#x2212;0.053</td>
<td align="center" valign="top">0.506</td>
</tr>
<tr>
<td align="left" valign="top">Physical Activity</td>
<td align="center" valign="top">&#x2212;0.002</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">&#x2212;0.63</td>
<td align="center" valign="top">0.065</td>
</tr>
<tr>
<td align="left" valign="top">Physical Activity x Openness to Experience</td>
<td align="center" valign="top">2.02</td>
<td align="center" valign="top">0.000</td>
<td align="center" valign="top">0.632</td>
<td align="center" valign="top">0.066</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec sec-type="discussion" id="sec15">
<title>Discussion</title>
<p>The current study expanded previous work on the relationship between the FFM model of personality, PS, and PA by exploring the relationship amongst these three constructs (i.e., personality, PA, and PS) in a diverse adult sample. The results revealed that neuroticism and conscientiousness predicted PS but not PA, which offered partial support for our hypothesis that personality and PA would predict PS. Thus, this study provides additional support for the relationship between aspects of the FFM model and PS. Notably, an interaction between PA and openness to experience was also observed, whereby those with relatively low levels of openness were more likely to demonstrate lower levels of PS when they were active and vice versa. This pattern was not significant in the final model. Still, further investigation&#x2014;particularly leveraging more accurate and objective measures of PA&#x2014;are warranted to determine whether individuals who are highly active and highly open may be in need of additional stress management support.</p>
<p>The lack of relationship between PA and PS in this sample was unusual in view of the literature to date connecting personality and PA (<xref ref-type="bibr" rid="ref56">Wilson and Dishman, 2015</xref>), as well as PA and PS (<xref ref-type="bibr" rid="ref6">Chauntry et al., 2022</xref>; <xref ref-type="bibr" rid="ref42">Perchtold-Stefan et al., 2020</xref>). However, participants in this study reported the equivalence of nearly 1,000&#x202F;min of moderate-intensity PA per week, or nearly seven times the current PA guideline recommendations. These data may suggest that the relationship amongst these variables is less marked in those who self-identify as frequently engaging in exercise (i.e., structured PA) as part of their daily active energy expenditure or those who are high in conscientiousness similar to those in this sample. This surprising result could also be due to the use of self-report measures of PA versus objective measures or the use of total METs rather than specific domains of PA. These findings might suggest the importance of assessing current levels PA and personality characteristics during treatment as this could inform the decision of including a PA component to the intervention. Finally, our study revealed a surprising interactive relationship between openness to experience and PA on PS that may be related to novelty seeking. Given the preliminary nature of these exploratory findings, these possible explanations should be investigated further in future studies that include a less educated and less active sample.</p>
<sec id="sec16">
<title>Strengths and limitations</title>
<p>One limitation of the current study was the use of self-report measures to measure the PA (i.e., IPAQ-Long) given relatively low correlation with objective measures (<xref ref-type="bibr" rid="ref2">Beagle et al., 2020</xref>) and frequent overreporting of PA on self-report measures (<xref ref-type="bibr" rid="ref44">Prince et al., 2008</xref>). There are, however, several strengths to this approach, including the ability to discriminate between various domains of activity and to collect data on large samples. Future work would benefit from a combined approach, using self-report and objective measures.</p>
<p>One strength of this study was the racial diversity of the sample, whereas previous studies have mostly included college students (<xref ref-type="bibr" rid="ref15">Dalton, 2022</xref>; <xref ref-type="bibr" rid="ref37">Maher et al., 2021</xref>). This diverse patient population was made possible through mTurk, which also created some limitations. Many participants did not provide viable or complete data, which resulted in a highly conscientious sample that reported frequent engagement in exercise. Future studies may benefit from using briefer versions of study measures and targeted recruitment for sedentary individuals.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec17">
<title>Conclusion</title>
<p>Expanding the understanding of how to match patients to stress management techniques that they are more likely to enjoy and therefore adhere to may guide the field toward precision medicine and decrease the far-reaching negative impacts of chronic stress. Beyond stress reduction, physical therapy and structured exercise have been proposed as novel frameworks for suicide prevention and depression management, underscoring their broader mental health benefits (<xref ref-type="bibr" rid="ref31">Kanani, 2025</xref>).</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec18">
<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 sec-type="ethics-statement" id="sec19">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Gallaudet University Institutional Review Board. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec20">
<title>Author contributions</title>
<p>RC: Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MS: Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. PB: Conceptualization, Methodology, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. BF: Data curation, Resources, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JF: Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec21">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by a Gallaudet University Small Research Grant from the Office of Research Support and International Affairs. This material is also the result of work supported with resources and the use of facilities at the Salem VA Health Care System. Some study team members who contributed to this study held positions that were supported by funds from the Office of Academic Affiliation with the Department of Veterans Affairs and author RC is supported by funding through a VA VISN 6 Career Development Award.</p>
</sec>
<ack>
<p>The authors thank Parker D Miller and Lillian Nguthen (Salem VA Health Care System) for their contribution to the literature search, as well as Gillette Bauer (Wake Forest University) for her assistance with data cleaning.</p>
</ack>
<sec sec-type="COI-statement" id="sec22">
<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="ai-statement" id="sec23">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec24">
<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>
<fn-group>
<fn id="fn0001"><p><sup>1</sup><ext-link xlink:href="https://sites.google.com/view/ipaq/score" ext-link-type="uri">https://sites.google.com/view/ipaq/score</ext-link></p></fn>
</fn-group>
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