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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Hum. Neurosci.</journal-id>
<journal-title>Frontiers in Human Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Hum. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-5161</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnhum.2016.00534</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Perseverative Cognition and Health Behaviors: A Systematic Review and Meta-Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Clancy</surname> <given-names>Faye</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/386206/overview"/></contrib>
<contrib contrib-type="author"><name><surname>Prestwich</surname> <given-names>Andrew</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/357448/overview"/></contrib>
<contrib contrib-type="author"><name><surname>Caperon</surname> <given-names>Lizzie</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/386490/overview"/></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>O&#x00027;Connor</surname> <given-names>Daryl B.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/213351/overview"/></contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>School of Psychology, University of Leeds</institution> <country>Leeds, UK</country></aff>
<aff id="aff2"><sup>2</sup><institution>Leeds Institute of Health Sciences, University of Leeds</institution> <country>Leeds, UK</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Cristina Ottaviani, Santa Lucia Foundation, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Brandon Gillie, Ohio State University, USA; Matthew Jason Zawadzki, University of California, Merced, USA</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Daryl B. O&#x00027;Connor <email>d.b.oconnor&#x00040;leeds.ac.uk</email></p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>11</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>10</volume>
<elocation-id>534</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>07</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>10</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2016 Clancy, Prestwich, Caperon and O&#x00027;Connor.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Clancy, Prestwich, Caperon and O&#x00027;Connor</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) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p>Recent developments in stress theory have emphasized the significance of perseverative cognition (worry and rumination) in furthering our understanding of stress-disease relationships. Substantial evidence has shown that perseverative cognition (PC) is associated with somatic outcomes and numerous physiological concomitants have been identified (i.e., cardiovascular, autonomic, and endocrine nervous system activity parameters). However, there has been no synthesis of the evidence regarding the association between PC and health behaviors. This is important given such behaviors may also directly and/or indirectly influence health and disease outcomes (triggered by PC). Therefore, the aim of the current review was to synthesize available studies that have explored the relationship between worry and rumination and health behaviors (health risk: behaviors which, if performed, would be detrimental to health; health promoting: behaviors which, if performed, would be beneficial for health). A systematic review and meta-analyses of the literature were conducted. Studies were included in the review if they reported the association between PC and health behavior. Studies identified in MEDLINE or PsycINFO (<italic>k</italic> &#x0003D; 7504) were screened, of which 19 studies met the eligibility criteria. Random-effects meta-analyses suggested increased PC was generally associated with increased health risk behaviors but not health promoting behaviors. Further analyses indicated that increases in rumination (<italic>r</italic> &#x0003D; 0.122), but not reflection (<italic>r</italic> &#x0003D; &#x02212;0.080), or worry (<italic>r</italic> &#x0003D; 0.048) were associated with health risk behaviors. In conclusion, these results showed that increases in PC are associated with increases in health risk behaviors (substance use, alcohol consumption, unhealthy eating, and smoking) that are driven primarily through rumination. These findings provide partial support for our hypothesis that in Brosschot et al.&#x00027;s (<xref ref-type="bibr" rid="B9">2006</xref>) original perseverative cognition hypothesis, there may be scope for additional routes to pathogenic disease via poorer health behaviors.</p></abstract>
<kwd-group><kwd>stress</kwd>
<kwd>worry</kwd>
<kwd>rumination</kwd>
<kwd>alcohol</kwd>
<kwd>smoking</kwd>
<kwd>exercise</kwd>
<kwd>diet</kwd>
<kwd>health</kwd></kwd-group>
<contract-sponsor id="cn001">Economic and Social Research Council<named-content content-type="fundref-id">10.13039/501100000269</named-content></contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="62"/>
<page-count count="12"/>
<word-count count="8824"/>
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</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1"><title>Introduction</title>
<p>In 2006, Brosschot, Gerin, and Thayer introduced the perseverative cognition hypothesis (PCH), which suggested that worry and/or repetitive thinking may lead to disease by prolonging stress-related physiological activation by amplifying short-term responses, delaying recovery, or reactivating responses after a stressor has been experienced. In the last decade, a number of important reviews and papers have been published clearly demonstrating that <bold>perseverative cognition</bold> is associated with somatic outcomes (e.g., Brosschot et al., <xref ref-type="bibr" rid="B10">2005</xref>; Verkuil et al., <xref ref-type="bibr" rid="B57">2010</xref>; O&#x00027;Connor et al., <xref ref-type="bibr" rid="B39">2013</xref>; Ottaviani et al., <xref ref-type="bibr" rid="B41">2015</xref>).</p>
<p>More specifically, the PCH proposes that worry, rumination and related thought processes are not only psychological phenomena but can also impact on physical health. It is argued that perseverative cognition (PC)&#x02014;the cognitive representation of past stressful events or feared future events&#x02014;mediates the relationship between stress and physical disease as, when stressors are perseverated upon in thought, the damaging physiological activation associated with stress is also protracted, thus increasing susceptibility to stress-related ill-health. The hypothesis states that, in such instances where the physical stressor is absent, the cognitive representation alone can induce a physiological stress response, which, when prolonged, increases the likelihood of stress-related diseases. In this sense, the direct relationship between stress and disease is intensified when a stressor is subject to thought.</p>
<p>Since the PCH was proposed, a substantial amount of evidence has been identified which supports the main tenets of the theory. In one of the first reviews published, Verkuil et al. (<xref ref-type="bibr" rid="B57">2010</xref>) presented convincing research evidence of a link between the prolonged physiological activation associated with PC and somatic health outcomes. More recently, Ottaviani et al. (<xref ref-type="bibr" rid="B41">2015</xref>) conducted a comprehensive meta-analysis to synthesize the physiological concomitants of PC in healthy participants. These authors concluded that there was clear evidence that PC affects cardiovascular, autonomic, and endocrine nervous system pathways consistent with a pathogenic route to long-term disease outcomes. Specifically, they found higher levels of heart rate, blood pressure, and cortisol activity and lower heart rate variability during PC or related to trait PC.</p>
<p>However, despite the accumulating evidence for a direct pathway from PC to disease outcomes, we were interested in exploring the existence of an additional indirect pathway via health behaviors. In the broader stress literature, it is well-established that stress can affect health indirectly, through the modification of health behaviors (Rod et al., <xref ref-type="bibr" rid="B45">2009</xref>; O&#x00027;Connor and Conner, <xref ref-type="bibr" rid="B38">2011</xref>). Stress induced modifications of habitual health behaviors such as food choice and eating behavior have been shown to be particularly important in understanding physical disease risk (Steptoe et al., <xref ref-type="bibr" rid="B52">1998</xref>; O&#x00027;Connor et al., <xref ref-type="bibr" rid="B40">2008</xref>). Recent findings have confirmed that stress is frequently associated with increased unhealthy food intake in laboratory-based and naturalistic studies (e.g., Adam and Epel, <xref ref-type="bibr" rid="B2">2007</xref>; O&#x00027;Connor et al., <xref ref-type="bibr" rid="B40">2008</xref>; Dallman, <xref ref-type="bibr" rid="B14">2010</xref>; Van Strien et al., <xref ref-type="bibr" rid="B56">2012</xref>).</p>
<p>For example, in a 28-day diary study, O&#x00027;Connor et al. (<xref ref-type="bibr" rid="B40">2008</xref>) showed that daily stressors were associated with increased consumption of high fat and high sugar between-meal snack foods and with a reduction in main meals and vegetable consumption. Moreover, evidence is beginning to emerge showing associations between rumination and the consumption of unhealthy foods such as cakes, crisps, and confectionary (e.g., Cropley et al., <xref ref-type="bibr" rid="B13">2012</xref>). Therefore, it remains possible that PC might also amplify, prolong, and reactivate the same physiological and psychological processes that account for the negative effects of stress on eating behavior.</p>
<p>Other studies have provided evidence of a relationship between stress and increased alcohol consumption, which has been identified as a significant risk factor for chronic disease (Rehm et al., <xref ref-type="bibr" rid="B44">2009</xref>). For example, in a daily diary study, Grzywacz and Almeida (<xref ref-type="bibr" rid="B23">2008</xref>) reported that participants were more likely to binge drink on days when they experienced more severe stressors. Similarly, in an experimental study, a blunted cortisol response to a laboratory stressor was associated with greater post-stressor alcohol consumption (Pratt and Davidson, <xref ref-type="bibr" rid="B42">2009</xref>). Corbin et al. (<xref ref-type="bibr" rid="B12">2013</xref>) suggest that alcohol may be used to deal with negative emotion when alternative coping strategies are not available. In the sample of college students they surveyed, stress levels were positively associated with drinking to cope, and drinking problems. Moreover, those who reported drinking to cope drank more heavily. Again, similar to eating behavior, data are emerging showing that measures of (negative work) rumination are associated with more alcohol consumption on workdays (Frone, <xref ref-type="bibr" rid="B21">2015</xref>).</p>
<p>Nevertheless, taking the above findings together, it is surprising how little research has explicitly explored the relationship between measures of PC and health behaviors. In addition, it is important to distinguish between health promoting and health risk behaviors. Health-promoting behaviors are health-enhancing behaviors which individuals are encouraged to perform more to protect their health; whereas health risk behaviors are health-damaging behaviors which individuals are encouraged to perform less. Given that PC exacerbates the relationship between the experience of stress and the physiological response, it is also possible that, as the experience of the stressor is prolonged by worry, or ruminative processes, so too may be its detrimental impact on different types of health behaviors. For example, PC might be more strongly associated with health risk behaviors such as alcohol consumption, smoking, and high fat food intake compared to health promoting behaviors such a physical exercise, given the former may be strategies to help alleviate rumination, and worry. Furthermore, over time, PC-induced increases in health risk behaviors and decreases in health promoting behaviors are likely to influence pathogenic pathways to long-term disease outcomes. Figure <xref ref-type="fig" rid="F1">1</xref> represents the original model proposed by Brosschot et al. (<xref ref-type="bibr" rid="B9">2006</xref>) with an additional route to the pathogenic disease state via poorer health behaviors (e.g., higher levels of alcohol, tobacco and unhealthy food consumption, and lower physical activity levels and lower consumption of healthy foods). In this conceptualization, we theorize that rumination about past stressful events or worry about feared future events will mediate the effects of stressors on health behaviors (particularly those previously shown to be influenced by stress), which will have negative consequences for health outcomes and disease processes. Therefore, the primary aim of the current review and meta-analysis was to quantify the existing evidence relating any measure of PC to health behaviors.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>Brosschot et al.&#x00027;s (<xref ref-type="bibr" rid="B9">2006</xref>) model of PC and health extended to include additional pathways to illness via health behaviors (represented by dashed lines)</bold>. PC may mediate the negative effects of stressors on health behaviors that will influence the pathogenic state (pathway &#x00023;1). PC may also influence health behaviors through its effects on the prolonged stress response (pathway &#x00023;2) and health behaviors may also have a bi-directional influence on the prolonged stress response (pathway &#x00023;3).</p></caption>
<graphic xlink:href="fnhum-10-00534-g0001.tif"/>
</fig>
<p>A secondary aim of the current review and meta-analysis was to establish whether different types of PC had a differential impact on health behaviors. As outlined above, PC is an umbrella term which encompasses repetitive, negative thought processes related to the experience of a stressor. This term was developed as it was thought that disparate concepts such as rumination and worry were either too narrowly or too broadly defined to allow for a model which linked negative, repetitive thought, and somatic health (Verkuil et al., <xref ref-type="bibr" rid="B57">2010</xref>). Indeed, there has been recent debate about whether rumination and worry ought to be considered separately or collapsed into a single phenomenal category (cf., Ottaviani et al., <xref ref-type="bibr" rid="B41">2015</xref>). Nevertheless, the most widely researched of these thought processes are depressive rumination and worry (Verkuil et al., <xref ref-type="bibr" rid="B57">2010</xref>). Nolen-Hoeksema et al. (<xref ref-type="bibr" rid="B36">2008</xref>) described rumination as &#x0201C;thinking perseveratively about one&#x00027;s feelings and problems&#x0201D; (p. 400) regardless of thought content (positive or negative). However, although ruminative thoughts can be positive, within the PCH, PC only encompasses negative thoughts (Verkuil et al., <xref ref-type="bibr" rid="B57">2010</xref>).</p>
<p>Moreover, there is good agreement that rumination is best conceptualized as having two components: brooding and reflection (Treynor et al., <xref ref-type="bibr" rid="B55">2003</xref>). Brooding is described as a passive and judgemental form of rumination, whereas reflection is more contemplative with a focus on problem-solving. Treynor et al. (<xref ref-type="bibr" rid="B55">2003</xref>) provided evidence that brooding is the more maladaptive component of rumination as brooding predicted symptoms of depression one year later, whereas, although reflection predicted current depression, it predicted lower levels of depression over time. Reflection is thus considered to be a somewhat adaptive component of rumination.</p>
<p>Whereas rumination has been shown to be associated with depression, worry is a central aspect of anxiety disorders, and particularly generalized anxiety disorder (Borkovec and Inz, <xref ref-type="bibr" rid="B7">1990</xref>). Borkovec et al. (<xref ref-type="bibr" rid="B8">1983</xref>) were the first research group to aim to define and categorize the process of worrying and to distinguish it from related processes such as anxiety, fear, and mental problem-solving. Borkovec et al. (<xref ref-type="bibr" rid="B8">1983</xref>) defined worry as &#x0201C;a chain of thoughts and images, negatively affect-laden, and relatively uncontrollable. The worry process represents an attempt to engage in mental problem-solving on an issue whose outcome is uncertain but contains the possibility of one or more negative outcomes. Consequently, worry relates closely to fear processes&#x0201D; (p. 10). Therefore, within the PCH, worry is viewed as worry about feared events (or stressors) in the future.</p>
<p>To summarize, the primary aim of the current review was to systematically review empirical studies which have investigated the relationship between any type of PC and any health behavior outcome. As the PCH aimed to model how stress-related thinking may impact on health outcomes in otherwise healthy populations, the aim here was also to review studies involving physically and mentally healthy participants. It was hypothesized that higher levels of PC would be associated with more health risk behaviors (defined as those behaviors which, if performed, would hinder health) and less health promoting behaviors (defined as those behaviors which, if performed, would benefit health). The secondary aim was to explore whether different types of PC (rumination and worry) had differential effects on health behaviors.</p>
</sec>
<sec sec-type="methods" id="s2"><title>Methods</title>
<sec><title>Eligibility criteria</title>
<p>To be eligible, studies had to (1) include a measure of PC, (2) a measure of health behavior and, (3) report the relationship between the measures of PC and the health behavior within a statistical analysis that could be used to estimate an effect size (even if the relationship between PC and health behaviors was not the primary outcome of the study). Studies were excluded if they were (1) not peer-reviewed, (2) not an empirical investigation, (3) were reviews, editorials or &#x0201C;think pieces,&#x0201D; dissertations, book chapters, protocols, or unpublished, (4) if all study participants had been diagnosed with physical or mental health problems (but included if a sample of healthy participants was analyzed separately). Finally, studies that related to sleep (<italic>n</italic> &#x0003D; 75) were excluded from the current review paper (see Figure <xref ref-type="fig" rid="F2">2</xref>) because we considered sleep to be different from the other health behaviors under consideration. It is a complex behavior that is measured in many different ways and has multiple features (e.g., hours slept, sleep latency, sleep quality, insomnia, etc.) that sets it apart from behaviors such as smoking, physical activity, or eating. In addition, we felt that combining the relatively large number of sleep studies with the other health behaviors could potentially bias the results of the review. Therefore, given these points, the sleep studies will be synthesized in a separate review paper.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p><bold>PRISMA flow diagram depicting the screening process</bold>. Figure adapted from Moher et al. (<xref ref-type="bibr" rid="B32">2009</xref>).</p></caption>
<graphic xlink:href="fnhum-10-00534-g0002.tif"/>
</fig>
<p>In terms of eligibility criterion (1), some researchers have argued that concepts such as angry rumination and co-rumination are separate forms of rumination. Angry rumination is a type of rumination in which the focus of the rumination is on an anger-inducing event and has been found to predict aggressive behavior (Denson, <xref ref-type="bibr" rid="B15">2013</xref>) and was included in our conceptualization here. However, co-rumination is described as a group form of rumination in which interpersonal discussion focuses upon emotions and problems (Rose, <xref ref-type="bibr" rid="B47">2002</xref>) but was not included here as it is not a purely cognitive form of PC (a similar approach was adopted by Ottaviani et al., <xref ref-type="bibr" rid="B41">2015</xref>). Also, despite research which suggests that reflection may serve as an adaptive component of rumination, studies measuring reflection were retained in order to assess whether this type of rumination is still adaptive in terms of health behaviors (but analyzed separately from PC).</p>
</sec>
<sec><title>Search strategy</title>
<p>PsycINFO (1806 to Present) and Medline (1946 to Present) were searched using OVID. The search was last run on the 11th of February 2016 using search terms relating to PC and health behavior. The search was limited by (1) English language, (2) human studies, and (3) studies published from 1990 [i.e., the year the Penn State Worry Questionnaire (Meyer et al., <xref ref-type="bibr" rid="B31">1990</xref>) was published and shortly before the publication of key papers using the Ruminative Responses Scale (e.g., Nolen-Hoeksema, <xref ref-type="bibr" rid="B35">1991</xref>)]. As with other systematic reviews, we wanted to strive for an appropriate trade-off between specificity (proportion of non-relevant articles that are not retrieved) and sensitivity (proportion of relevant articles that are retrieved). By restricting the search strategy to articles published from 1990 onwards (i.e., at the time several of our key measures were published), we anticipated a much greater increase in specificity with a relatively small reduction in sensitivity. Indeed, of the articles included in our review, none were published prior to 2003, suggesting few, if any, studies published prior to 1990 would have met our inclusion/exclusion criteria. The titles were screened by the first author. All abstracts and full-texts that were not excluded at the title screening stage (<italic>n</italic> &#x0003D; 206) were independently double-screened. There was 100% agreement between the two reviewers regarding the studies to be included.</p>
</sec>
<sec><title>Search terms</title>
<p>Perseverative cognition terms (adapted from Querstret and Cropley, <xref ref-type="bibr" rid="B43">2013</xref>; Ottaviani et al., <xref ref-type="bibr" rid="B41">2015</xref>) combined with OR:</p>
<p>(1) perseverati<sup>&#x0002A;</sup> AND cogniti<sup>&#x0002A;</sup> (2) reflection (3) brooding (4) ruminat<sup>&#x0002A;</sup> (5) reflect<sup>&#x0002A;</sup> AND thought<sup>&#x0002A;</sup> OR thinking (6) brood<sup>&#x0002A;</sup> AND thought<sup>&#x0002A;</sup> OR thinking (7) perseverative AND thought<sup>&#x0002A;</sup> OR thinking (8) repetitive AND thought<sup>&#x0002A;</sup> OR thinking (9) intrusive AND thought<sup>&#x0002A;</sup> OR thinking (10) negative AND thought<sup>&#x0002A;</sup> OR thinking (11) self-referential AND thought<sup>&#x0002A;</sup> OR thinking (12) stress AND thought<sup>&#x0002A;</sup> OR thinking (13) obsessive AND thought<sup>&#x0002A;</sup> OR thinking (14) worry (15) unconscious stress<sup>&#x0002A;</sup> (16) implicit stress<sup>&#x0002A;</sup> (17) anticipat<sup>&#x0002A;</sup> stress<sup>&#x0002A;</sup> (17) cognitive intrusion<sup>&#x0002A;</sup></p>
<p>To increase the specificity of the search strategy, we removed terms used by Querstret and Cropley (<xref ref-type="bibr" rid="B43">2013</xref>) which related to anxiety, depression, and stress as, although these concepts overlap with perseverative cognition, they are not specific to perseverative cognition. Aspects of perseverative cognition which do relate to stress and anxiety should be captured by terms such as &#x0201C;stress&#x0201D; combined with &#x0201C;thought<sup>&#x0002A;</sup> or thinking&#x0201D; and depressive thoughts should be captured by &#x0201C;brooding&#x0201D; and/or &#x0201C;ruminat<sup>&#x0002A;</sup>.&#x0201D; The bulk of the search terms were derived from Querstret and Cropley (<xref ref-type="bibr" rid="B43">2013</xref>) and therefore the only term relating to perseverative cognition taken from Ottaviani et al. (<xref ref-type="bibr" rid="B41">2015</xref>) was &#x0201C;self-referential&#x0201D; as all of the other relevant terms in this review had already been covered.</p>
<p>Health behavior terms (alcohol terms adapted from Kaner et al., <xref ref-type="bibr" rid="B26">2007</xref>; exercise from Foster et al., <xref ref-type="bibr" rid="B20">2005</xref>; eating from Nield et al., <xref ref-type="bibr" rid="B34">2007</xref>; smoking from Secker-Walker et al., <xref ref-type="bibr" rid="B49">2002</xref>; and sleep from Hu et al., <xref ref-type="bibr" rid="B25">2015</xref>) combined with OR:</p>
<p>(1) exp alcohols/ (2) Alcohol$.tw. (3) exercise.sh. (3) physical activity.sh (4) sports.sh (5) dance.sh (6) [physical$ adj5 (fit$ or train$ or activ$ or endur$)].tw. (7) [exercis$ adj5 (train$ or physical$ or activ$)].tw. (8) sport$.tw. (9) walk$.tw. (10) bicycle$.tw. (11) (exercise$ adj aerobic$).tw. (12) [(lifestyle or life-style) adj5 (activ$)].tw. (13) [(lifestyle or life-style) adj5 physical$].tw. (14) Diets.sh (15) Eating behavio?r.sh (16) weight control.sh (17) (diet$ adj5 carbohydrat$).tw (18) (diet$ adj5 fat$).tw (19) (diet$ adj5 weigh$).tw (20) (diet$ adj5 sugar$).tw (21) (diet$ adj5 fiber$).tw (24) (diet$ adj5 fiber$).tw (22) (diet$ adj5 salt$).tw (23) (diet$ adj5 calorie$).tw (24) healthy eating.tw (25) smok$.mp. (26) nicotine.mp. (27) tobacco.mp. (28) cigarette$.mp. (29) exp sleep/ (30) sleep adj3 (promot<sup>&#x0002A;</sup> or help<sup>&#x0002A;</sup> or support<sup>&#x0002A;</sup> or initiat<sup>&#x0002A;</sup>).mp. (31) sleep.ti,ab</p>
<p>Alcohol terms were not changed from the source but were the only terms relating to alcohol consumption from a larger number of search terms. The same strategy of selecting relevant terms was used in regards to physical activity, diet, smoking and sleep terms. Eating terms were removed which referred to diabetes as this was not relevant to the current review.</p>
<p>The items below were developed by the research team as they were not captured by the terms adapted from the previous reviews cited:</p>
<p>(32) hypophagi<sup>&#x0002A;</sup> (33) hyperphagi<sup>&#x0002A;</sup> (34) caffein<sup>&#x0002A;</sup> (35) snack<sup>&#x0002A;</sup> (36) meal<sup>&#x0002A;</sup> (37) junk food<sup>&#x0002A;</sup> (38) fast food<sup>&#x0002A;</sup> (39) vegetable<sup>&#x0002A;</sup> (40) fruit<sup>&#x0002A;</sup> (41) unhealthy food<sup>&#x0002A;</sup> (42) unhealthy diet (43) healthy food<sup>&#x0002A;</sup> (44) alcohol<sup>&#x0002A;</sup> intake (45) alcohol<sup>&#x0002A;</sup> unit (46) alcohol<sup>&#x0002A;</sup> consum<sup>&#x0002A;</sup> (47) caffein<sup>&#x0002A;</sup>.</p>
<p>Adding these terms increased the number of papers retrieved and ensured that potentially relevant papers were not missed. Perseverative cognition and health behavior terms were then combined with AND.</p>
</sec>
<sec><title>Data extraction</title>
<p>The following data were extracted (see Table <xref ref-type="table" rid="T1">1</xref>) by the lead author for each study: lead author name, publication year, study design, geographical location, study setting, behavioral outcome (and whether this measure had been previously validated), the type of PC (and whether this measure had been previously validated), the measure of PC, the number of participants included in the analyses, the percentage of female participants and the age of participants (preferably the mean and SD if reported). To maximize reliability of the data extraction process, each section of the data extraction sheet was checked by the co-authors of this paper. Each co-author took responsibility for checking different sections of the data extraction form.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p><bold>Overview of included studies</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Lead authors, year</bold></th>
<th valign="top" align="left"><bold>Design</bold></th>
<th valign="top" align="left"><bold>Location</bold></th>
<th valign="top" align="left"><bold>Setting</bold></th>
<th valign="top" align="left"><bold>Behavioral domain</bold></th>
<th valign="top" align="left"><bold>Type of PC</bold></th>
<th valign="top" align="left"><bold>Measure of PC</bold></th>
<th valign="top" align="left"><bold>Pps included in Analysis (n)</bold></th>
<th valign="top" align="left"><bold>% Female</bold></th>
<th valign="top" align="left"><bold>Age of Pps (years)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Adrian et al., <xref ref-type="bibr" rid="B3">2014</xref></td>
<td valign="top" align="left">Prospective</td>
<td valign="top" align="left">US</td>
<td valign="top" align="left">School</td>
<td valign="top" align="left">Substance use</td>
<td valign="top" align="left">Rumination (brooding and reflection)</td>
<td valign="top" align="left">RRS<xref ref-type="table-fn" rid="TN3"><sup>a</sup></xref></td>
<td valign="top" align="left">428</td>
<td valign="top" align="left">48%</td>
<td valign="top" align="left">12&#x02013;16</td>
</tr>
<tr>
<td valign="top" align="left">Aldridge-Gerry et al., <xref ref-type="bibr" rid="B4">2011</xref></td>
<td valign="top" align="left">Daily diary</td>
<td valign="top" align="left">US</td>
<td valign="top" align="left">University</td>
<td valign="top" align="left">Alcohol consumption</td>
<td valign="top" align="left">Emotional rumination</td>
<td valign="top" align="left">Factor analysis Roesch et al., <xref ref-type="bibr" rid="B46">2010</xref> of Brief COPE, children&#x00027;s coping strategies checklist &#x00026; how i coped under pressure scale to produce emotional rumination factor</td>
<td valign="top" align="left">365</td>
<td valign="top" align="left">69%</td>
<td valign="top" align="left">Mean &#x0003D; 20 (<italic>SD</italic> &#x0003D; 2)</td>
</tr>
<tr>
<td valign="top" align="left">Bernat et al., <xref ref-type="bibr" rid="B5">2015</xref></td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">US</td>
<td valign="top" align="left">University</td>
<td valign="top" align="left">Physical activity</td>
<td valign="top" align="left">Dispositional cancer worry</td>
<td valign="top" align="left">Brief worry scale &#x00026; revised impact of events, intrusive thoughts subscale</td>
<td valign="top" align="left">451</td>
<td valign="top" align="left">100%</td>
<td valign="top" align="left">Mean &#x0003D; 20 (<italic>SD</italic> &#x0003D; 3)</td>
</tr>
<tr>
<td valign="top" align="left">Ciesla et al., <xref ref-type="bibr" rid="B11">2011</xref></td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">US</td>
<td valign="top" align="left">University</td>
<td valign="top" align="left">Alcohol consumption</td>
<td valign="top" align="left">Rumination, angry rumination and worry</td>
<td valign="top" align="left">RRS, angry rumination scale and PSWQ<xref ref-type="table-fn" rid="TN4"><sup>b</sup></xref></td>
<td valign="top" align="left">447</td>
<td valign="top" align="left">65%</td>
<td valign="top" align="left">80% 18&#x02013;20, 10% 21&#x02013;25, 2% 25&#x0002B;</td>
</tr>
<tr>
<td valign="top" align="left">Cropley et al., <xref ref-type="bibr" rid="B13">2012</xref></td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">UK</td>
<td valign="top" align="left">Workplace</td>
<td valign="top" align="left">Eating</td>
<td valign="top" align="left">Rumination</td>
<td valign="top" align="left">Measure of &#x0201C;switching off from work&#x0201D;</td>
<td valign="top" align="left">268</td>
<td valign="top" align="left">59%</td>
<td valign="top" align="left">Mean &#x0003D; 37 (<italic>SD</italic> &#x0003D; 13)</td>
</tr>
<tr>
<td valign="top" align="left">Dijkstra and Brosschot, <xref ref-type="bibr" rid="B16">2003</xref></td>
<td valign="top" align="left">Prospective</td>
<td valign="top" align="left">Netherlands</td>
<td valign="top" align="left">Home</td>
<td valign="top" align="left">Smoking cessation</td>
<td valign="top" align="left">Health worry<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">4 items developed (worry about the physical consequences of smoking)</td>
<td valign="top" align="left">704 (380 smokers, 324 ex-Smokers)</td>
<td valign="top" align="left">Smokers (71%); Ex-Smokers (67%)</td>
<td valign="top" align="left">Smokers (16&#x02013;80, mean &#x0003D; 44); Ex-Smokers (15&#x02013;78, mean &#x0003D; 45)</td>
</tr>
<tr>
<td valign="top" align="left">Dvorak et al., <xref ref-type="bibr" rid="B17">2011</xref></td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">US</td>
<td valign="top" align="left">Online</td>
<td valign="top" align="left">Smoking cessation<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">Rumination</td>
<td valign="top" align="left">Depressive rumination subscale of RRS</td>
<td valign="top" align="left">53</td>
<td valign="top" align="left">79%</td>
<td valign="top" align="left">Mean &#x0003D; 20 (<italic>SD</italic> &#x0003D; 3)</td>
</tr>
<tr>
<td valign="top" align="left">Ferrer et al., <xref ref-type="bibr" rid="B18">2013a</xref></td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">US</td>
<td valign="top" align="left">Home</td>
<td valign="top" align="left">Eating</td>
<td valign="top" align="left">Health-related worry<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">1 item developed (worry about overall health in past year)</td>
<td valign="top" align="left">3397</td>
<td valign="top" align="left">52%</td>
<td valign="top" align="left">31% 18&#x02013;34, 36% 35&#x02013;54, 33% 55&#x0002B;</td>
</tr>
<tr>
<td valign="top" align="left">Ferrer et al., <xref ref-type="bibr" rid="B19">2013b</xref></td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">US</td>
<td valign="top" align="left">Home</td>
<td valign="top" align="left">Eating and physical activity<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">Cancer-related worry<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">1 item developed (worry about cancer)</td>
<td valign="top" align="left">10,230</td>
<td valign="top" align="left">52%</td>
<td valign="top" align="left">Mean &#x0003D; 45 (<italic>SD</italic> &#x0003D; 0.06)</td>
</tr>
<tr>
<td valign="top" align="left">Frone, <xref ref-type="bibr" rid="B21">2015</xref></td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">US</td>
<td valign="top" align="left">Home</td>
<td valign="top" align="left">Alcohol consumption</td>
<td valign="top" align="left">Rumination<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">Negative and positive work rumination scale developed<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="left">2831</td>
<td valign="top" align="left">47%</td>
<td valign="top" align="left">Mean &#x0003D; 41</td>
</tr>
<tr>
<td valign="top" align="left">Harwell et al., <xref ref-type="bibr" rid="B24">2011</xref></td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">US</td>
<td valign="top" align="left">University</td>
<td valign="top" align="left">Alcohol consumption</td>
<td valign="top" align="left">Anxious rumination</td>
<td valign="top" align="left">Anxiety rumination questionnaire adapted from rumination on sadness scale</td>
<td valign="top" align="left">113</td>
<td valign="top" align="left">82%</td>
<td valign="top" align="left">Mean &#x0003D; 26</td>
</tr>
<tr>
<td valign="top" align="left">Li et al., <xref ref-type="bibr" rid="B27">2009</xref></td>
<td valign="top" align="left">Prospective</td>
<td valign="top" align="left">US</td>
<td valign="top" align="left">Home</td>
<td valign="top" align="left">Physical activity</td>
<td valign="top" align="left">Health worry<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">1 item developed (worry about health in past year)</td>
<td valign="top" align="left">7527</td>
<td valign="top" align="left">62%</td>
<td valign="top" align="left">Mean &#x0003D; 77 (<italic>SD</italic> &#x0003D; 6)</td>
</tr>
<tr>
<td valign="top" align="left">Malmi et al., <xref ref-type="bibr" rid="B28">2010</xref></td>
<td valign="top" align="left">Case-control</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left">Home</td>
<td valign="top" align="left">Prostate cancer screening (objective measure)</td>
<td valign="top" align="left">Worry<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">3 items developed (worry about urinary continence and bowel and sexual function)</td>
<td valign="top" align="left">423</td>
<td valign="top" align="left">0%</td>
<td valign="top" align="left">Attended Screening (mean &#x0003D; 60, <italic>SD</italic> &#x0003D; 4); Non-Attenders (mean &#x0003D; 61, <italic>SD</italic> &#x0003D; 5)</td>
</tr>
<tr>
<td valign="top" align="left">Rutten et al., <xref ref-type="bibr" rid="B48">2011</xref></td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">US</td>
<td valign="top" align="left">Home</td>
<td valign="top" align="left">Smoking<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">Cancer worry<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">2 items developed (worry about lung cancer and fear of screening)</td>
<td valign="top" align="left">1765 (918 never smoked, 524 former smokers, 323 current smokers)</td>
<td valign="top" align="left">By smoking status: Never smoked (61%); Former smokers (47%); Current Smokers (46%)</td>
<td valign="top" align="left">Never Smoked (35% 18&#x02013;34, 30% 35&#x02013;49, 21% 50&#x02013;64, 14% 65&#x0002B;); Former smokers (13% 18&#x02013;34, 27% 35&#x02013;49, 34% 50&#x02013;64, 26% 65&#x0002B;); Current Smokers (39% 18&#x02013;34, 34% 35&#x02013;49, 19% 50&#x02013;64, 8% 65&#x0002B;)</td>
</tr>
<tr>
<td valign="top" align="left">Shoal et al., <xref ref-type="bibr" rid="B50">2005</xref></td>
<td valign="top" align="left">Prospective</td>
<td valign="top" align="left">US</td>
<td valign="top" align="left">University</td>
<td valign="top" align="left">Substance use</td>
<td valign="top" align="left">Worry</td>
<td valign="top" align="left">6 items from STAI<xref ref-type="table-fn" rid="TN5"><sup>c</sup></xref> assessing intrusive thought and worries items from CBCL<xref ref-type="table-fn" rid="TN6"><sup>d</sup></xref> (combined to form worry measure)</td>
<td valign="top" align="left">257</td>
<td valign="top" align="left">0%</td>
<td valign="top" align="left">T1 (mean &#x0003D; 11, <italic>SD</italic> &#x0003D; 1); T2 (mean &#x0003D; 16, <italic>SD</italic> &#x0003D; 1)</td>
</tr>
<tr>
<td valign="top" align="left">Swayampakala et al., <xref ref-type="bibr" rid="B53">2013</xref></td>
<td valign="top" align="left">Longitudinal</td>
<td valign="top" align="left">Mexico</td>
<td valign="top" align="left">Home</td>
<td valign="top" align="left">Smoking<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">Health worry<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">1 item developed (worry about whether smoking will damage health)</td>
<td valign="top" align="left">1206</td>
<td valign="top" align="left">32%</td>
<td valign="top" align="left">18 or over</td>
</tr>
<tr>
<td valign="top" align="left">Willem et al., <xref ref-type="bibr" rid="B59">2011</xref></td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Belgium</td>
<td valign="top" align="left">School</td>
<td valign="top" align="left">Substance use</td>
<td valign="top" align="left">Rumination (brooding and reflection)</td>
<td valign="top" align="left">RRS</td>
<td valign="top" align="left">189</td>
<td valign="top" align="left">50%</td>
<td valign="top" align="left">Mean &#x0003D; 17 (<italic>SD</italic> &#x0003D; 1)</td>
</tr>
<tr>
<td valign="top" align="left">Willem et al., <xref ref-type="bibr" rid="B60">2014</xref></td>
<td valign="top" align="left">Longitudinal</td>
<td valign="top" align="left">Belgium</td>
<td valign="top" align="left">School</td>
<td valign="top" align="left">Substance use</td>
<td valign="top" align="left">Rumination (brooding and reflection)</td>
<td valign="top" align="left">RRS</td>
<td valign="top" align="left">216</td>
<td valign="top" align="left">38%</td>
<td valign="top" align="left">Mean &#x0003D; 17 (<italic>SD</italic> &#x0003D; 1)</td>
</tr>
<tr>
<td valign="top" align="left">Yong et al., <xref ref-type="bibr" rid="B62">2014</xref></td>
<td valign="top" align="left">Longitudinal cohort</td>
<td valign="top" align="left">Australia, Canada, UK, US</td>
<td valign="top" align="left">Home</td>
<td valign="top" align="left">Smoking cessation</td>
<td valign="top" align="left">Health Worry<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">Items not described (worry about damage from smoking)</td>
<td valign="top" align="left">5065</td>
<td valign="top" align="left">By age group: 18&#x02013;24 (89%), 25&#x02013;39 (68%), 40&#x02013;54 (66%), 55&#x0002B; (77%)</td>
<td valign="top" align="left">18 or over</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1">
<label>&#x0002A;</label>
<p><italic>measure not validated (or at least one measure not validated if more than one measure of PC or health behavior),</italic></p></fn>
<fn id="TN2">
<label>&#x0002A;&#x0002A;</label>
<p><italic>only the negative scale was analyzed here.</italic></p></fn>
<fn id="TN3">
<label>a</label>
<p><italic>Ruminative Responses Scale (Nolen-Hoeksema, <xref ref-type="bibr" rid="B35">1991</xref>),</italic></p></fn>
<fn id="TN4">
<label>b</label>
<p><italic>Penn State Worry Questionnaire (Meyer et al., <xref ref-type="bibr" rid="B31">1990</xref>),</italic></p></fn>
<fn id="TN5">
<label>c</label>
<p><italic>State Trait Anxiety Inventory (Spielberger et al., <xref ref-type="bibr" rid="B51">1983</xref>),</italic></p></fn>
<fn id="TN6">
<label>d</label>
<p><italic>Child Behavior Checklist (Achenbach and Edelbrock, <xref ref-type="bibr" rid="B1">1983</xref>).</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec><title>Data synthesis</title>
<p>Comprehensive Meta-Analysis (Borenstein et al., <xref ref-type="bibr" rid="B6">2005</xref>) was used to calculate effect sizes reflecting the relationship between measures of PC and measures of health behaviors. Effect sizes were calculated based on correlation co-efficients and, when not available, were based on other statistical information (e.g., beta or <italic>p</italic>-values). Effect sizes were meta-analyzed within studies when necessary (e.g., when the same variables were assessed at multiple time-points; when different measures of the same behavior were taken in the same study etc.). Effect sizes were combined across studies, where appropriate, using random effect models (where each study estimates different underlying effect sizes) rather than fixed effects models (where all studies are assumed to be estimates of the same one true effect size) because (1) we assumed that the true effect should vary across studies because they differ in critical ways (e.g., type of behavior; type of PC) and (2) our sample of studies, selected systematically, should reflect a random sample of the relevant distribution of effects.</p>
<p>After considering the overall association between PC (worry and rumination) and health behaviors, additional analyses were conducted to identify the association between different types of health behavior (health promoting and health risk) and different types of PC (rumination; worry-health; general worry; plus, the related adaptive construct of reflection). In most instances, formal moderation analyses were not conducted because there were studies in which the same participants completed multiple measures (e.g., participants in the study by Cropley et al., <xref ref-type="bibr" rid="B13">2012</xref>, completed measures of health promoting and health risk behaviors; the participants in the study by Ciesla et al., <xref ref-type="bibr" rid="B11">2011</xref>, completed measures of rumination and worry). In terms of the worry measures, it is worth noting that a number of studies included a measure of health-specific worry (e.g., worry about overall health in the past year, or worry about developing cancer) which is distinct from general worry (e.g., I worry too much about making mistakes, about my parents, about things that may happen, and about what others think of me).</p>
<p>Sensitivity analyses were conducted to examine if the results changed when measures that related to quit attempts were removed (given its qualitative difference from standard measures of performing health behaviors; sensitivity analysis 1) or when other types of unique measure were removed (sensitivity analysis 2 excluded the study by Harwell et al., <xref ref-type="bibr" rid="B24">2011</xref>, given they only considered drinking in negative situations rather than drinking across all situations, and removed the measure of affect-related substance use from the effect size calculation for Shoal et al., <xref ref-type="bibr" rid="B50">2005</xref>, for similar reasons). In the case of quit attempts, we felt it was unclear whether a high number of quits is positive (indicative of greater desire to stop smoking) or negative (indicative of more failed attempts). It is also not a clear measure of health behavior (in the same sense as the other measures included); it could be argued to be a measure of &#x0201C;trying&#x0201D; or &#x0201C;motivation.&#x0201D; Therefore, we felt it was appropriate to examine in our sensitivity analyses.</p>
<p>In all analyses, a positive correlation reflects an association between increased levels of PC and increased unhealthy behavior (i.e., either more health-risk behavior or less health promoting behavior). A negative correlation reflects an association between increased levels of PC and increased healthy behavior (i.e., either less health-risk behavior or more health promoting behavior).</p>
</sec>
</sec>
<sec sec-type="results" id="s3"><title>Results</title>
<sec><title>Overview of included studies</title>
<p>The search returned 7504 papers which were screened for inclusion. Screening identified 19 relevant studies (see Figure <xref ref-type="fig" rid="F2">2</xref> and Table <xref ref-type="table" rid="T1">1</xref>). Of the 19 included studies, 9 measured rumination (emotional rumination: Aldridge-Gerry et al., <xref ref-type="bibr" rid="B4">2011</xref>; rumination: Ciesla et al., <xref ref-type="bibr" rid="B11">2011</xref>; Dvorak et al., <xref ref-type="bibr" rid="B17">2011</xref>; Willem et al., <xref ref-type="bibr" rid="B59">2011</xref>; Cropley et al., <xref ref-type="bibr" rid="B13">2012</xref>; Adrian et al., <xref ref-type="bibr" rid="B3">2014</xref>; Frone, <xref ref-type="bibr" rid="B21">2015</xref>; Willem et al., <xref ref-type="bibr" rid="B60">2014</xref>; angry rumination: Ciesla et al., <xref ref-type="bibr" rid="B11">2011</xref>; anxious rumination: Harwell et al., <xref ref-type="bibr" rid="B24">2011</xref>), 9 studies measured health-related worry (Dijkstra and Brosschot, <xref ref-type="bibr" rid="B16">2003</xref>; Li et al., <xref ref-type="bibr" rid="B27">2009</xref>; Malmi et al., <xref ref-type="bibr" rid="B28">2010</xref>; Rutten et al., <xref ref-type="bibr" rid="B48">2011</xref>; Ferrer et al., <xref ref-type="bibr" rid="B18">2013a</xref>,<xref ref-type="bibr" rid="B19">b</xref>; Swayampakala et al., <xref ref-type="bibr" rid="B53">2013</xref>; Yong et al., <xref ref-type="bibr" rid="B62">2014</xref>; Bernat et al., <xref ref-type="bibr" rid="B5">2015</xref>), and 2 studies measured general worry (Shoal et al., <xref ref-type="bibr" rid="B50">2005</xref>; Ciesla et al., <xref ref-type="bibr" rid="B11">2011</xref>). In addition, four studies measured reflection (Willem et al., <xref ref-type="bibr" rid="B59">2011</xref>, <xref ref-type="bibr" rid="B60">2014</xref>; Cropley et al., <xref ref-type="bibr" rid="B13">2012</xref>; Adrian et al., <xref ref-type="bibr" rid="B3">2014</xref>). Note that Ciesla et al. (<xref ref-type="bibr" rid="B11">2011</xref>) also measured co-rumination but this was removed as our conceptualization of rumination did not include this and the Cropley et al. (<xref ref-type="bibr" rid="B13">2012</xref>) measure of problem-solving pondering was classified as reflection in our analyses.</p>
<p>Health behaviors investigated were alcohol consumption (Shoal et al., <xref ref-type="bibr" rid="B50">2005</xref>; Aldridge-Gerry et al., <xref ref-type="bibr" rid="B4">2011</xref>; Ciesla et al., <xref ref-type="bibr" rid="B11">2011</xref>; Harwell et al., <xref ref-type="bibr" rid="B24">2011</xref>; Willem et al., <xref ref-type="bibr" rid="B59">2011</xref>, <xref ref-type="bibr" rid="B60">2014</xref>; Adrian et al., <xref ref-type="bibr" rid="B3">2014</xref>; Frone, <xref ref-type="bibr" rid="B21">2015</xref>), marijuana use (Shoal et al., <xref ref-type="bibr" rid="B50">2005</xref>; Willem et al., <xref ref-type="bibr" rid="B59">2011</xref>; Adrian et al., <xref ref-type="bibr" rid="B3">2014</xref>; Willem et al., <xref ref-type="bibr" rid="B60">2014</xref>), smoking behavior and cessation (Dijkstra and Brosschot, <xref ref-type="bibr" rid="B16">2003</xref>; Dvorak et al., <xref ref-type="bibr" rid="B17">2011</xref>; Rutten et al., <xref ref-type="bibr" rid="B48">2011</xref>; Swayampakala et al., <xref ref-type="bibr" rid="B53">2013</xref>; Yong et al., <xref ref-type="bibr" rid="B62">2014</xref>), eating behavior (Cropley et al., <xref ref-type="bibr" rid="B13">2012</xref>; Ferrer et al., <xref ref-type="bibr" rid="B18">2013a</xref>,<xref ref-type="bibr" rid="B19">b</xref>), cancer screening uptake (Malmi et al., <xref ref-type="bibr" rid="B28">2010</xref>) and levels of physical activity (Li et al., <xref ref-type="bibr" rid="B27">2009</xref>; Ferrer et al., <xref ref-type="bibr" rid="B19">2013b</xref>; Bernat et al., <xref ref-type="bibr" rid="B5">2015</xref>). See Table <xref ref-type="table" rid="T1">1</xref> for a more detailed overview of the included studies. Table <xref ref-type="table" rid="T2">2</xref> presents the results of the meta-analyses.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p><bold>Summary of meta-analyses</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Type of PC</bold></th>
<th valign="top" align="left"><bold>Health Behavior</bold></th>
<th valign="top" align="center"><bold><italic>k</italic></bold></th>
<th valign="top" align="center"><bold><italic>R</italic></bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>95% CI</bold></th>
<th valign="top" align="center"><bold><italic>Z</italic></bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Sensitivity Analyses: <italic>Z</italic></bold></th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>Lower</bold></th>
<th valign="top" align="center"><bold>Upper</bold></th>
<th/>
<th valign="top" align="center"><bold>Analysis 1</bold></th>
<th valign="top" align="center"><bold>Analysis 2</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">All</td>
<td valign="top" align="left">All</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">0.066</td>
<td valign="top" align="center">&#x02212;0.015</td>
<td valign="top" align="center">0.147</td>
<td valign="top" align="center">1.599</td>
<td valign="top" align="center">2.493<xref ref-type="table-fn" rid="TN7"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.987<xref ref-type="table-fn" rid="TN7"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Rumination</td>
<td valign="top" align="left">All</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.103</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="center">0.160</td>
<td valign="top" align="center">3.527<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">3.371<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">4.886<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Reflection</td>
<td valign="top" align="left">All</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">&#x02212;0.008</td>
<td valign="top" align="center">&#x02212;0.074</td>
<td valign="top" align="center">0.058</td>
<td valign="top" align="center">&#x02212;0.231</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Worry (all)</td>
<td valign="top" align="left">All</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">&#x02212;0.096</td>
<td valign="top" align="center">0.122</td>
<td valign="top" align="center">0.238</td>
<td valign="top" align="center">0.864</td>
<td valign="top" align="center">0.850</td>
</tr>
<tr>
<td valign="top" align="left">Worry (health)</td>
<td valign="top" align="left">All</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.019</td>
<td valign="top" align="center">&#x02212;0.111</td>
<td valign="top" align="center">0.148</td>
<td valign="top" align="center">0.286</td>
<td valign="top" align="center">0.895</td>
<td valign="top" align="center">0.895</td>
</tr>
<tr>
<td valign="top" align="left">Worry (other)</td>
<td valign="top" align="left">All</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">&#x02212;0.002</td>
<td valign="top" align="center">&#x02212;0.142</td>
<td valign="top" align="center">0.139</td>
<td valign="top" align="center">&#x02212;0.021</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">&#x02212;0.002</td>
</tr>
<tr>
<td valign="top" align="left">All</td>
<td valign="top" align="left">Health promotion</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">&#x02212;0.038</td>
<td valign="top" align="center">&#x02212;0.101</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">&#x02212;1.181</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">All</td>
<td valign="top" align="left">Health risk</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">0.106</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">0.205</td>
<td valign="top" align="center">2.055<xref ref-type="table-fn" rid="TN7"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">3.564<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">3.160<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Rumination</td>
<td valign="top" align="left">Health promotion</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">&#x02212;0.085</td>
<td valign="top" align="center">0.085</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Rumination</td>
<td valign="top" align="left">Health risk</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.122</td>
<td valign="top" align="center">0.058</td>
<td valign="top" align="center">0.184</td>
<td valign="top" align="center">3.758<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">3.606<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">3.932<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Reflection</td>
<td valign="top" align="left">Health promotion</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x02212;0.080</td>
<td valign="top" align="center">&#x02212;0.198</td>
<td valign="top" align="center">0.040</td>
<td valign="top" align="center">&#x02212;1.305</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Reflection</td>
<td valign="top" align="left">Health risk</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">&#x02212;0.061</td>
<td valign="top" align="center">0.085</td>
<td valign="top" align="center">0.320</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Worry (all)</td>
<td valign="top" align="left">Health promotion</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">&#x02212;0.045</td>
<td valign="top" align="center">&#x02212;0.120</td>
<td valign="top" align="center">0.030</td>
<td valign="top" align="center">&#x02212;1.188</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Worry (all)</td>
<td valign="top" align="left">Health risk</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.048</td>
<td valign="top" align="center">&#x02212;0.113</td>
<td valign="top" align="center">0.207</td>
<td valign="top" align="center">0.585</td>
<td valign="top" align="center">1.495</td>
<td valign="top" align="center">1.432</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>k, number of studies; r, effect size r; 95% CI, 95% confidence interval of effect size r;</italic></p>
<fn id="TN7">
<label>&#x0002A;</label>
<p><italic>p &#x0003C;0.05,</italic></p></fn>
<fn id="TN8">
<label>&#x0002A;&#x0002A;</label>
<p><italic>p &#x0003C;0.01,</italic></p></fn>
<fn id="TN9">
<label>&#x0002A;&#x0002A;&#x0002A;</label>
<p><italic>p &#x0003C;0.001; Sensitivity Analysis 1: Quit attempts for smoking are excluded from the analyses; Sensitivity Analysis 2: Excludes quit attempts for smoking, Harwell et al. (<xref ref-type="bibr" rid="B24">2011</xref>) (negative reinforcement drinking), Shoal et al. (<xref ref-type="bibr" rid="B50">2005</xref>) (affect-related substance use measure removed but measure of drug use still incorporated). In the sensitivity analyses, &#x0201C;-&#x0201C; indicates the results match the original analyses.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec><title>Main results</title>
<p>Averaging across all types of PC (rumination and worry), behaviors and time-points, PC was initially unrelated with health behaviors, <italic>r</italic> &#x0003D; 0.066, 95% <italic>CI</italic> &#x0003D; &#x02212;0.015 to 0.147, <italic>Z</italic> &#x0003D; 1.599, <italic>p</italic> &#x0003D; 0.110, with very heterogeneous effect sizes, <italic>Q</italic><sub>(18)</sub> &#x0003D; 324.562, <italic>p</italic> &#x0003C;0.001, <italic>I</italic><sup>2</sup> &#x0003D; 94.454 (see Table <xref ref-type="table" rid="T2">2</xref>). However, in the sensitivity analyses, the relationship between PC and health behaviors became significant, albeit still small. Specifically, more PC was associated with unhealthier behaviors (a combination measure of more health risk behaviors/fewer health promoting behaviors), <italic>r</italic> &#x0003D; 0.079, 95% <italic>CI</italic> &#x0003D; 0.017&#x02013;0.140, <italic>Z</italic> &#x0003D; 2.493, <italic>p</italic> &#x0003D; 0.013 (sensitivity analysis 1), <italic>r</italic> &#x0003D; 0.057, 95% <italic>CI</italic> &#x0003D; 0.001&#x02013;0.113, <italic>Z</italic> &#x0003D; 1.987, <italic>p</italic> &#x0003D; 0.047 (sensitivity analysis 2).</p>
</sec>
<sec><title>PC type</title>
<p>Increases in rumination were associated with unhealthier behaviors (combination measure of more health risk behaviors/fewer health promoting behaviors), <italic>r</italic> &#x0003D; 0.103, 95% <italic>CI</italic> &#x0003D; 0.046&#x02013;0.160, <italic>k</italic> &#x0003D; 9, <italic>Z</italic> &#x0003D; 3.527, <italic>p</italic> &#x0003C;0.001. Reflection, <italic>r</italic> &#x0003D; &#x02212;0.008, 95% <italic>CI</italic> &#x0003D; &#x02212;0.074 to 0.058, <italic>k</italic> &#x0003D; 4, <italic>Z</italic> &#x0003D; &#x02212;0.231, <italic>p</italic> &#x0003D; 0.817, and worry, <italic>r</italic> &#x0003D; 0.013, 95% <italic>CI</italic> &#x0003D; &#x02212;0.096&#x02013;0.122, <italic>k</italic> &#x0003D; 11, <italic>Z</italic> &#x0003D; 0.238, <italic>p</italic> &#x0003D;.812, were unrelated with health behaviors. The heterogeneity in effect sizes were particularly large for the studies that included a measure of worry, <italic>Q</italic><sub>(10)</sub> &#x0003D; 217.972, <italic>p</italic> &#x0003C;0.001, <italic>I</italic><sup>2</sup> &#x0003D; 95.412. Comparing the studies that incorporated a measure of worry related to health (<italic>k</italic> &#x0003D; 9) against those that included an alternative measure of worry (<italic>k</italic> &#x0003D; 2), based on random effects models, the effects were similar (health-related worry and health behaviors: <italic>r</italic> &#x0003D; 0.019, 95% <italic>CI</italic> &#x0003D; &#x02212;0.111 to 0.148, <italic>Z</italic> &#x0003D; 0.286, <italic>p</italic> &#x0003D; 0.775; other worry and health behaviors: <italic>r</italic> &#x0003D; &#x02212;0.002, 95% <italic>CI</italic> &#x0003D; &#x02212;.142 to 0.139, <italic>Z</italic> &#x0003D; &#x02212;0.021, <italic>p</italic> &#x0003D; 0.983; <italic>Q</italic><sub>(1)</sub> &#x0003D; 0.044, <italic>p</italic> &#x0003D; 0.834. The results of the sub-group analyses, split by PC type, were influenced little by the sensitivity analyses.</p>
</sec>
<sec><title>Type of behavior</title>
<p>PC was unrelated to health promoting behaviors but was significantly related with health risk behaviors. Regarding the latter, increases in PC were associated with increased performance of health risk behaviors. These relationships were consistent across both sets of sensitivity analyses (see Table <xref ref-type="table" rid="T2">2</xref>).</p>
</sec>
<sec><title>PC type and behavior</title>
<p>Increases in rumination were associated with increased performance of health risk behavior but not health promoting behavior (though only one study, Cropley et al., <xref ref-type="bibr" rid="B13">2012</xref>, has considered the latter association). Worry and reflection were both unrelated to health promoting and health risk behaviors (though only one study, Cropley et al., <xref ref-type="bibr" rid="B13">2012</xref>, considered the association between reflection and health promoting behaviors). These results did not change substantively in either set of sensitivity analyses.</p>
</sec>
<sec><title>Publication bias</title>
<p>Egger&#x00027;s regression coefficient was significant for the relationship between PC and health behaviors (combination of health risk and health promotion behaviors; <italic>p</italic> &#x0003D; 0.005) suggesting some degree of publication bias. To consider the potential impact of these missing studies, Duval and Tweedie&#x00027;s Trim and Fill analyses were conducted. These results suggested that no studies were missing from the left-side of the mean effect but six studies were missing from the right-side of the mean effect. After imputing these, the imputed point estimate, <italic>r</italic> &#x0003D; 0.142, 95% <italic>CI</italic> &#x0003D; 0.033&#x02013;0.248, suggested, if anything, that the relationship between PC and unhealthy behaviors is slightly stronger than estimated in the main analyses.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4"><title>Discussion</title>
<p>The main findings of this systematic review and meta-analysis are that increases in PC are associated with increases in health risk behaviors (substance use, alcohol consumption, unhealthy eating, and smoking) that are driven primarily through rumination. In contrast, measures of worry and reflection were not associated with health behaviors. These results are important for a number of reasons. First, they provide partial support for our hypothesis that in Brosschot et al.&#x00027;s (<xref ref-type="bibr" rid="B9">2006</xref>) original PCH, there may be scope for an additional route to pathogenic disease via poorer health behaviors. In this conceptualization, we theorize that rumination about past stressful events will mediate the effects of stressors on health behaviors (particularly those previously shown to be influenced by stress), which will have negative consequences for health outcomes and disease processes.</p>
<p>Second, from a brain-body point of view, the current findings are important in the context of the development of <bold>allostatic load</bold>. McEwen (<xref ref-type="bibr" rid="B29">1998</xref>) introduced the concept of allostatic load to capture the wear and tear the body experiences as a result of repeated and prolonged adaption to environmental and psychosocial stressors. He proposed that the long-term impact of stress affects the body at cardiovascular, metabolic, neural, behavioral, and cellular levels. Similar to basic homeostatic systems such as body temperature, the <bold>HPA axis</bold>, the autonomic nervous system and the cardiovascular, metabolic and immune systems protect the body by adapting to internal and external stress. This is known as <bold>allostasis</bold>. However, if the activation of these systems (allostasis) is repeated and prolonged, allostatic load will be experienced in the form of increased stress hormone, immune cell, brain activity, and cardiovascular responses, ultimately, overtime leading to heightened risk of developing disease (McEwen, <xref ref-type="bibr" rid="B29">1998</xref>, <xref ref-type="bibr" rid="B30">2007</xref>). Numerous factors may contribute to the development of allostatic load including genes, early life experiences and disturbances of the sleep-wake cycle (McEwen, <xref ref-type="bibr" rid="B30">2007</xref>). However, McEwen also argues that lifestyle choices such as alcohol consumption, diet, smoking, and exercise, that may be learned overtime (and triggered by PC), contribute to allostatic load by influencing the reactivity of the biological systems that release the physiological stress mediators (e.g., cortisol, adrenaline, blood pressure, heart rate, immune cells). In other words, environmental and psychosocial stressors give rise to PC, which in turn triggers maladaptive behavioral responses that may influence and exacerbate the prolonged stress response as conceptualized in the PCH, leading to increased risk of disease. Moreover, we also contend that the relationship between the prolonged stress response and health behaviors may be bi-directional (see Figure <xref ref-type="fig" rid="F1">1</xref>). Interestingly, in the short term, engaging in health risk behaviors such as comfort eating or alcohol consumption (triggered by stressors and then PC) may be perceived by individuals as beneficial, however, overtime these behaviors are likely to be damaging for health.</p>
<p>In addition to the PC-induced health behavior-prolonged stress response pathway, it is highly likely that PC-induced health risk behaviors will directly impact on pathogenic states such as changes in somatic health outcomes (see second dashed pathway in Figure <xref ref-type="fig" rid="F1">1</xref>). For example, for eating behavior, it is well established that stress (and possibly PC) contributes directly to diseases like cardiovascular disease and obesity risk to the extent that it produces deleterious changes in diet and helps maintain unhealthy eating behaviors (O&#x00027;Connor et al., <xref ref-type="bibr" rid="B37">2015</xref>). In terms of physical activity, a recent systematic review and meta-analysis, showed that greater time spent sedentary was linked to increased risk of diabetes, cardiovascular events, cardiovascular mortality, and all-cause mortality (Wilmot et al., <xref ref-type="bibr" rid="B61">2012</xref>). Therefore, again the extent to which PC can disrupt habitual health behaviors such as exercise, eating behavior, alcohol consumption, and smoking, is likely to increase its direct effects on behavioral mediated changes in pathogenic states.</p>
<p>Nevertheless, we recognize that the current results ought to be considered preliminary at this stage precluding any firm conclusions. We are mindful that our analyses did not find evidence that worry about feared future events was associated with health behaviors. This is surprising given that worry has been identified as important in recent narrative reviews and meta-analyses in the context of the PCH (Verkuil et al., <xref ref-type="bibr" rid="B57">2010</xref>; Ottaviani et al., <xref ref-type="bibr" rid="B41">2015</xref>). A likely explanation for the absence of a significant effect here might be related to the heterogeneity of effect sizes across the studies and/or to do with the variability in types of worry measures utilized (e.g., health-related worry, cancer worry, trait worry, etc. as well as single-item vs. multi-item measures). Alternatively, this null finding may reflect that there are relatively few studies that have directly investigated the relationship between worry (and rumination) and health risk and health promoting behaviors. In many of the studies reviewed, exploring the relationship between worry (and rumination) has been of secondary interest. It might also be that worry, triggered by fear-appeals, has the capacity to promote some health behaviors, thereby, contributing to the observed mixed findings (Tannenbaum et al., <xref ref-type="bibr" rid="B54">2015</xref>). We also acknowledge that limiting our search strategy to studies published from 1990 onwards may have resulted in our missing some important studies. However, we feel the potential impact of this approach is likely to be fairly minimal given that of the articles included in our review, none were published prior to 2003, suggesting few, if any, studies published prior to 1990 would have met our inclusion/exclusion criteria.</p>
<p>We hope the current findings will spur on PC researchers to include measures of health behaviors in their future studies and to adopt a myriad of different approaches to investigate the precise processes and mechanisms through which PC is linked to health behaviors in the context of the PCH. It is likely that these processes will differ dependent on the nature of the health behavior (i.e., health risk vs. health promoting, frequency of the behavior etc.) and in relation to the type of PC (rumination vs. worry; health-related worry vs. general worry etc.). Future research ought to attempt to replicate the current findings utilizing innovative techniques such as ecological momentary assessment, diary methods and time-lagged designs in combination with measures of the physiological concomitants of PC (Verkuil et al., <xref ref-type="bibr" rid="B58">2012</xref>; Gartland et al., <xref ref-type="bibr" rid="B22">2014</xref>). There is also scope to manipulate PC in carefully controlled laboratory studies in order to investigate whether changes in PC are associated with changes in health behaviors (such as food intake; cf., Newman et al., <xref ref-type="bibr" rid="B33">2007</xref>).</p>
<p>In conclusion, this systematic review and meta-analysis showed that increases in PC are associated with increases in health risk behaviors (substance use, alcohol consumption, unhealthy eating, and smoking) that are driven primarily through rumination. These findings provide partial support for our hypothesis that in Brosschot et al.&#x00027;s (<xref ref-type="bibr" rid="B9">2006</xref>) original PCH, there may be scope for an additional route to pathogenic disease via poorer health behaviors.</p>
<table-wrap>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Key Term</bold></th>
<th valign="top" align="left"><bold>Definition</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Worry</td>
<td valign="top" align="left">Negative, repetitive cognitions regarding feared future events</td>
</tr>
<tr>
<td valign="top" align="left">Rumination</td>
<td valign="top" align="left">Negative, repetitive thoughts regarding feelings and problems (past-focused)</td>
</tr>
<tr>
<td valign="top" align="left">Perseverative Cognition</td>
<td valign="top" align="left">Negative, repetitive, cognitive representations of past stressful events or feared future events</td>
</tr>
<tr>
<td valign="top" align="left">Allostatic Load</td>
<td valign="top" align="left">The wear and tear the body experiences as a result of repeated and prolonged adaption to environmental and psychosocial stressors</td>
</tr>
<tr>
<td valign="top" align="left">Allostasis</td>
<td valign="top" align="left">When the autonomic nervous system and the cardiovascular, metabolic and immune systems protect the body by adapting to internal and external stress</td>
</tr>
<tr>
<td valign="top" align="left">Hypothalamic-Pituitary-Adrenal-Axis (HPA Axis)</td>
<td valign="top" align="left">Biological feedback loop between the hypothalamus, pituitary gland and adrenal glands which controls the body&#x00027;s stress response</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s5"><title>Author contributions</title>
<p>DO, FC, and AP conceived of the systematic review and meta-analysis. FC and LC conducted the data extraction and coding with input from AP and DO. AP and FC performed the meta-analysis. DO, AP, and FC drafted the manuscript. All authors approved the final version and agree to be accountable for this work.</p>
</sec>
<sec id="s6"><title>Funding</title>
<p>FC is funded by an ESRC White Rose Training Centre Advanced Quantitative Methods Ph.D. studentship.</p>
<sec><title>Conflict of interest statement</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>
</body>
<back>
<ref-list>
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