Pub Date : 2024-08-08DOI: 10.1177/21677026241255882
Andrea L. Howard, Tess M.S. Neal, Olivia J. Kirtley, Heather L. Urry, Jennifer L. Tackett
Open science is challenging and frequently time-consuming work, but the payoff is greater assurance that published research is transparent, conducted rigorously, and protected against some forms of researcher bias. In this editorial, we reflect on progress made toward the integration of open-science practices at Clinical Psychological Science ( CPS) 7 years after badges were introduced in the journal and 3 years after open science was initiated as an editorial priority at CPS. Along with establishing open science as an editorial priority, the first team of Open Science Advisors was established to oversee and facilitate preregistration, open materials, and open data badge applications. Here, we discuss how these practices have evolved over time, highlight best practices and common challenges in this work, and emphasize next steps for the future of open science in clinical-psychology research.
{"title":"Open Science at Clinical Psychological Science: Reflections on Progress, Lessons Learned, and Suggestions for Continued Improvement","authors":"Andrea L. Howard, Tess M.S. Neal, Olivia J. Kirtley, Heather L. Urry, Jennifer L. Tackett","doi":"10.1177/21677026241255882","DOIUrl":"https://doi.org/10.1177/21677026241255882","url":null,"abstract":"Open science is challenging and frequently time-consuming work, but the payoff is greater assurance that published research is transparent, conducted rigorously, and protected against some forms of researcher bias. In this editorial, we reflect on progress made toward the integration of open-science practices at Clinical Psychological Science ( CPS) 7 years after badges were introduced in the journal and 3 years after open science was initiated as an editorial priority at CPS. Along with establishing open science as an editorial priority, the first team of Open Science Advisors was established to oversee and facilitate preregistration, open materials, and open data badge applications. Here, we discuss how these practices have evolved over time, highlight best practices and common challenges in this work, and emphasize next steps for the future of open science in clinical-psychology research.","PeriodicalId":54234,"journal":{"name":"Clinical Psychological Science","volume":"1 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-25DOI: 10.1177/21677026241258380
Noam Sarna, Matan Mazor, Reuven Dar
In previous research, obsessive-compulsive tendencies were associated with longer search times in visual-search tasks. These findings, replicated and extended to a clinical sample, were specific to target-absent trials, with no effect on target-present trials. This selectivity was interpreted as checking behavior in response to mild uncertainty. However, an alternative interpretation is that individuals with high obsessive-compulsive (OC+) tendencies have a specific difficulty with inference about absence. In two large-scale, preregistered, online experiments (conceptual replication: N = 1,007; direct replication: N = 226), we sought to replicate the original finding and elucidate its underlying cause: an increased sensitivity to mild uncertainty or a selective deficiency in inference about absence. Both experiments showed no evidence of prolonged search times in target-absent trials for OC+ individuals. Taken together, our results do not support the notion that inducing mild uncertainty in the form of target absence leads to excessive checking among OC+ individuals.
{"title":"Obsessive-Compulsive Visual Search: A Reexamination of Presence–Absence Asymmetries","authors":"Noam Sarna, Matan Mazor, Reuven Dar","doi":"10.1177/21677026241258380","DOIUrl":"https://doi.org/10.1177/21677026241258380","url":null,"abstract":"In previous research, obsessive-compulsive tendencies were associated with longer search times in visual-search tasks. These findings, replicated and extended to a clinical sample, were specific to target-absent trials, with no effect on target-present trials. This selectivity was interpreted as checking behavior in response to mild uncertainty. However, an alternative interpretation is that individuals with high obsessive-compulsive (OC+) tendencies have a specific difficulty with inference about absence. In two large-scale, preregistered, online experiments (conceptual replication: N = 1,007; direct replication: N = 226), we sought to replicate the original finding and elucidate its underlying cause: an increased sensitivity to mild uncertainty or a selective deficiency in inference about absence. Both experiments showed no evidence of prolonged search times in target-absent trials for OC+ individuals. Taken together, our results do not support the notion that inducing mild uncertainty in the form of target absence leads to excessive checking among OC+ individuals.","PeriodicalId":54234,"journal":{"name":"Clinical Psychological Science","volume":"45 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141501544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-25DOI: 10.1177/21677026241245070
Ashley L. Watts, Kenneth J. Sher, Andrew C. Heath, Douglas Steinley, Michael Brusco
Although substance use disorders are widely known to be influenced by myriad etiologic factors, recent research promotes the notion that liability toward addiction broadly construed can be described by a single, unitary dimension that we term “general addiction liability.” Here, we revisit the concept of general addiction liability by placing it at greater theoretical and empirical risk. To do so, we used data from two epidemiologic samples ( N range = 262–8,552) and employed varied quantitative methods to examine the associations between alcohol, cannabis, tobacco, and opioid use disorders. We did not find strong evidence for general addiction liability. Nevertheless, consequence-based features (e.g., social/interpersonal harm, hazardous use) tended to form cross-substance connections. We contextualize our findings in the broader literature on addiction liability and offer several explanations for why we and others arrive at competing conclusions with respect to the robustness and nature of general addiction liability.
{"title":"“General Addiction Liability” Revisited","authors":"Ashley L. Watts, Kenneth J. Sher, Andrew C. Heath, Douglas Steinley, Michael Brusco","doi":"10.1177/21677026241245070","DOIUrl":"https://doi.org/10.1177/21677026241245070","url":null,"abstract":"Although substance use disorders are widely known to be influenced by myriad etiologic factors, recent research promotes the notion that liability toward addiction broadly construed can be described by a single, unitary dimension that we term “general addiction liability.” Here, we revisit the concept of general addiction liability by placing it at greater theoretical and empirical risk. To do so, we used data from two epidemiologic samples ( N range = 262–8,552) and employed varied quantitative methods to examine the associations between alcohol, cannabis, tobacco, and opioid use disorders. We did not find strong evidence for general addiction liability. Nevertheless, consequence-based features (e.g., social/interpersonal harm, hazardous use) tended to form cross-substance connections. We contextualize our findings in the broader literature on addiction liability and offer several explanations for why we and others arrive at competing conclusions with respect to the robustness and nature of general addiction liability.","PeriodicalId":54234,"journal":{"name":"Clinical Psychological Science","volume":"67 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141147632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-25DOI: 10.1177/21677026241240727
Kristen Benito, Andre Pittig, Jonathan Abramowitz, Joanna J. Arch, Denise Chavira, Rianne de Kleine, Alessandro S. De Nadai, Dirk Hermans, Stefan G. Hofmann, Jürgen Hoyer, Jonathan D. Huppert, Katharina Kircanski, Peter M. McEvoy, Heidi Meyer, Marie-H. Monfils, Santiago Papini, Winfried Rief, David Rosenfield, Eric A. Storch, Michael J. Telch, Michael W. Otto, Jasper A. J. Smits
Anxiety and related disorders are a significant public-health burden with rising prevalence in the wake of the COVID-19 pandemic. As demand for effective anxiety treatment increases, so too does the need for strategies to bolster treatment outcomes. Research on the mechanisms of exposure therapy, the frontline behavioral treatment, will be critically important for optimizing clinical outcomes. We outline an initial agenda for future research on the mechanisms of change of exposure therapy, developed in collaboration with a large international team of researchers through the Exposure Therapy Consortium. Key questions and recommendations for future research focus on four priority areas: conceptualization, measurement, study design/analysis, and individual/contextual differences. Rising to the challenge of addressing these questions will require coordinated action and availability of centralized tools that can be used across trials, settings, and research groups.
{"title":"Mechanisms of Change in Exposure Therapy for Anxiety and Related Disorders: A Research Agenda","authors":"Kristen Benito, Andre Pittig, Jonathan Abramowitz, Joanna J. Arch, Denise Chavira, Rianne de Kleine, Alessandro S. De Nadai, Dirk Hermans, Stefan G. Hofmann, Jürgen Hoyer, Jonathan D. Huppert, Katharina Kircanski, Peter M. McEvoy, Heidi Meyer, Marie-H. Monfils, Santiago Papini, Winfried Rief, David Rosenfield, Eric A. Storch, Michael J. Telch, Michael W. Otto, Jasper A. J. Smits","doi":"10.1177/21677026241240727","DOIUrl":"https://doi.org/10.1177/21677026241240727","url":null,"abstract":"Anxiety and related disorders are a significant public-health burden with rising prevalence in the wake of the COVID-19 pandemic. As demand for effective anxiety treatment increases, so too does the need for strategies to bolster treatment outcomes. Research on the mechanisms of exposure therapy, the frontline behavioral treatment, will be critically important for optimizing clinical outcomes. We outline an initial agenda for future research on the mechanisms of change of exposure therapy, developed in collaboration with a large international team of researchers through the Exposure Therapy Consortium. Key questions and recommendations for future research focus on four priority areas: conceptualization, measurement, study design/analysis, and individual/contextual differences. Rising to the challenge of addressing these questions will require coordinated action and availability of centralized tools that can be used across trials, settings, and research groups.","PeriodicalId":54234,"journal":{"name":"Clinical Psychological Science","volume":"96 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141147602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-11DOI: 10.1177/21677026241249192
Katharine E. Daniel, Robert G. Moulder, Steven M. Boker, Bethany A. Teachman
Difficulty knowing when to switch emotion-regulation (ER) strategies is theorized to be a key pathway to emotion dysregulation, but relatively few studies have empirically examined this. We applied a new order-based metric to quantify how 109 socially anxious people switched between 19 different ER strategies (or chose not to regulate at all) throughout a 5-week ecological-momentary-assessment (EMA) study that yielded 12,616 observations. We tested whether state- and trait-anxiety reports and their interaction predicted differences in ER strategy switching. Results indicated that people with relatively higher social-anxiety symptoms switch more often between ER strategies during periods of high average state anxiety but less often during periods of high variability in state anxiety than less socially anxious people. Interventions focused on helping socially anxious people learn how ER strategies are connected to variations in state anxiety might hold promise to increase adaptive ER-switching decisions. More broadly, expanding ER-switching interventions to consider the role of changing situations is an important next step.
{"title":"Trait Social Anxiety Moderates the Relationship Between Emotion-Regulation Strategy Switching and State Anxiety in Daily Life","authors":"Katharine E. Daniel, Robert G. Moulder, Steven M. Boker, Bethany A. Teachman","doi":"10.1177/21677026241249192","DOIUrl":"https://doi.org/10.1177/21677026241249192","url":null,"abstract":"Difficulty knowing when to switch emotion-regulation (ER) strategies is theorized to be a key pathway to emotion dysregulation, but relatively few studies have empirically examined this. We applied a new order-based metric to quantify how 109 socially anxious people switched between 19 different ER strategies (or chose not to regulate at all) throughout a 5-week ecological-momentary-assessment (EMA) study that yielded 12,616 observations. We tested whether state- and trait-anxiety reports and their interaction predicted differences in ER strategy switching. Results indicated that people with relatively higher social-anxiety symptoms switch more often between ER strategies during periods of high average state anxiety but less often during periods of high variability in state anxiety than less socially anxious people. Interventions focused on helping socially anxious people learn how ER strategies are connected to variations in state anxiety might hold promise to increase adaptive ER-switching decisions. More broadly, expanding ER-switching interventions to consider the role of changing situations is an important next step.","PeriodicalId":54234,"journal":{"name":"Clinical Psychological Science","volume":"36 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140930719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-13DOI: 10.1177/21677026231217316
Cheri A. Levinson, Caroline Christian, Carolyn B. Becker
The research–practice gap refers to the fact that most evidence-based treatments created by researchers are not used in routine clinical care, which affects real-world treatment outcomes negatively. One key reason that evidence-based care is not used more frequently is its nonpersonalized format. For example, most evidence-based treatments are based on averages and are limited in addressing comorbidity, heterogeneity, and the needs of clients with minoritized identities. These limitations reduce therapist uptake of evidence-based treatment at large. As a result, most patients seeking treatment in community settings do not receive evidence-based care, which could more quickly and effectively reduce mental-health suffering. Furthermore, even clinicians who want to engage in evidence-based practice must still rely on their clinical judgment in decision-making when treatments fail to address client-specific needs. This reliance on decision-making can influence outcomes negatively. We propose that idiographic (i.e., one-person; N = 1) methodologies (data analysis of one person’s data) combined with digital mental-health technology could help reduce the research–practice gap and improve treatment outcomes. In this article, we outline the many issues contributing to these problems and how idiographic methods of personalization can address these issues. We provide an overview of idiographic methodologies and examples of how to use these methods to personalize existing evidence-based treatments with patients. Finally, we conclude with recommendations for future research and movement within the field that is needed to propel this type of personalization into routine clinical care to reduce the research–practice gap and improve treatment outcomes broadly.
{"title":"How Idiographic Methodologies Can Move the Clinical-Science Field Forward to Integrate Personalized Treatment Into Everyday Clinical Care and Improve Treatment Outcomes","authors":"Cheri A. Levinson, Caroline Christian, Carolyn B. Becker","doi":"10.1177/21677026231217316","DOIUrl":"https://doi.org/10.1177/21677026231217316","url":null,"abstract":"The research–practice gap refers to the fact that most evidence-based treatments created by researchers are not used in routine clinical care, which affects real-world treatment outcomes negatively. One key reason that evidence-based care is not used more frequently is its nonpersonalized format. For example, most evidence-based treatments are based on averages and are limited in addressing comorbidity, heterogeneity, and the needs of clients with minoritized identities. These limitations reduce therapist uptake of evidence-based treatment at large. As a result, most patients seeking treatment in community settings do not receive evidence-based care, which could more quickly and effectively reduce mental-health suffering. Furthermore, even clinicians who want to engage in evidence-based practice must still rely on their clinical judgment in decision-making when treatments fail to address client-specific needs. This reliance on decision-making can influence outcomes negatively. We propose that idiographic (i.e., one-person; N = 1) methodologies (data analysis of one person’s data) combined with digital mental-health technology could help reduce the research–practice gap and improve treatment outcomes. In this article, we outline the many issues contributing to these problems and how idiographic methods of personalization can address these issues. We provide an overview of idiographic methodologies and examples of how to use these methods to personalize existing evidence-based treatments with patients. Finally, we conclude with recommendations for future research and movement within the field that is needed to propel this type of personalization into routine clinical care to reduce the research–practice gap and improve treatment outcomes broadly.","PeriodicalId":54234,"journal":{"name":"Clinical Psychological Science","volume":"48 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140584883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-03DOI: 10.1177/21677026241229663
Stefan Westermann, Sven Banisch
Capturing the complexity of interpersonal dynamics—emerging from approach and avoidance motives of two individuals in dyadic interplay—remains challenging. In line with calls for embracing complexity in psychological research using formal modeling, we employed evolutionary game theory to investigate the underlying mechanisms of affiliative interpersonality. We constructed a relational state space that represents the ways of relating available in the momentary state of an interpersonal relationship. Next, we modeled relationships as trajectories in that relational space. Qualitatively different interpersonal dynamics emerged: (a) global stability with only one relational attractor (e.g., pure reciprocal friendliness), (b) bistability with two mutually exclusive attractors (e.g., either pure friendliness or pure distance), and (c) cycles between friendliness and distance in the relational space. The bistable dynamics appear to resemble the phenomenon of interpersonal complementarity (e.g., friendliness invites friendliness). Furthermore, the model generates psychopathologically relevant dynamics (e.g., oscillating, unstable interpersonal relationships in borderline personality disorder).
{"title":"A Formal Model of Affiliative Interpersonality","authors":"Stefan Westermann, Sven Banisch","doi":"10.1177/21677026241229663","DOIUrl":"https://doi.org/10.1177/21677026241229663","url":null,"abstract":"Capturing the complexity of interpersonal dynamics—emerging from approach and avoidance motives of two individuals in dyadic interplay—remains challenging. In line with calls for embracing complexity in psychological research using formal modeling, we employed evolutionary game theory to investigate the underlying mechanisms of affiliative interpersonality. We constructed a relational state space that represents the ways of relating available in the momentary state of an interpersonal relationship. Next, we modeled relationships as trajectories in that relational space. Qualitatively different interpersonal dynamics emerged: (a) global stability with only one relational attractor (e.g., pure reciprocal friendliness), (b) bistability with two mutually exclusive attractors (e.g., either pure friendliness or pure distance), and (c) cycles between friendliness and distance in the relational space. The bistable dynamics appear to resemble the phenomenon of interpersonal complementarity (e.g., friendliness invites friendliness). Furthermore, the model generates psychopathologically relevant dynamics (e.g., oscillating, unstable interpersonal relationships in borderline personality disorder).","PeriodicalId":54234,"journal":{"name":"Clinical Psychological Science","volume":"42 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140584426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-13DOI: 10.1177/21677026241233262
Matthew J. Hirshberg, Cortland J. Dahl, Daniel Bolt, Richard J. Davidson, Simon B. Goldberg
Understanding why interventions work is essential to optimizing them. Although mechanistic theories of meditation-based interventions (MBIs) exist, empirical evidence is limited. We randomly assigned 662 adults (79.9% reported clinical levels of anxiety or depressive symptoms) to a 4-week smartphone-based MBI or wait-list control condition early in the COVID-19 pandemic. Psychological distress and four theory-driven preregistered psychological mediators of well-being (mindful action, loneliness, cognitive defusion, and purpose) were assessed five times during the intervention period and at 3-month follow-up. In preregistered analyses, assignment to the intervention predicted significant gains on all mediators, which, in turn, significantly mediated follow-up distress (21.9%–62.5% of intervention effect on distress). No significant mediation pathway was observed in an exploratory multiple mediator analysis, but reduced loneliness accounted for 61.7% of the combined indirect effect. Multiple psychological pathways may mediate reduced distress in a digital MBI.
了解干预措施发挥作用的原因对于优化干预措施至关重要。虽然存在基于冥想的干预（MBI）的机理理论，但经验证据却很有限。在 COVID-19 大流行的早期，我们将 662 名成年人（79.9% 的人报告有临床水平的焦虑或抑郁症状）随机分配到为期 4 周的基于智能手机的 MBI 或等待对照组中。在干预期间和 3 个月的随访中，对心理困扰和四种理论驱动的幸福感心理中介（正念行动、孤独感、认知化解和目的）进行了五次评估。在预先登记的分析中，干预的分配预示着所有中介因子的显著提高，而这些中介因子反过来又对后续的困扰有显著的中介作用（干预对困扰影响的 21.9%-62.5% ）。在探索性的多重中介分析中，没有观察到明显的中介途径，但孤独感的减少占了综合间接效应的61.7%。在数字 MBI 中，多种心理途径都可能对减轻困扰起到中介作用。
{"title":"Psychological Mediators of Reduced Distress: Preregistered Analyses From a Randomized Controlled Trial of a Smartphone-Based Well-Being Training","authors":"Matthew J. Hirshberg, Cortland J. Dahl, Daniel Bolt, Richard J. Davidson, Simon B. Goldberg","doi":"10.1177/21677026241233262","DOIUrl":"https://doi.org/10.1177/21677026241233262","url":null,"abstract":"Understanding why interventions work is essential to optimizing them. Although mechanistic theories of meditation-based interventions (MBIs) exist, empirical evidence is limited. We randomly assigned 662 adults (79.9% reported clinical levels of anxiety or depressive symptoms) to a 4-week smartphone-based MBI or wait-list control condition early in the COVID-19 pandemic. Psychological distress and four theory-driven preregistered psychological mediators of well-being (mindful action, loneliness, cognitive defusion, and purpose) were assessed five times during the intervention period and at 3-month follow-up. In preregistered analyses, assignment to the intervention predicted significant gains on all mediators, which, in turn, significantly mediated follow-up distress (21.9%–62.5% of intervention effect on distress). No significant mediation pathway was observed in an exploratory multiple mediator analysis, but reduced loneliness accounted for 61.7% of the combined indirect effect. Multiple psychological pathways may mediate reduced distress in a digital MBI.","PeriodicalId":54234,"journal":{"name":"Clinical Psychological Science","volume":"33 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140124719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-13DOI: 10.1177/21677026241230335
Megan E. Mikhail, S. Alexandra Burt, Michael C. Neale, Pamela K. Keel, Debra K. Katzman, Kelly L. Klump
Internalizing (e.g., anxiety, depression) and disordered eating (DE; e.g., binge eating, dietary restraint) are highly comorbid, but the mechanisms underlying their comorbidity remain unknown. This was the first twin study to examine whether their co-occurrence may be driven by genetic and/or environmental influences on emotion regulation (ER; ability to modulate duration/intensity of emotions). Analyses included 688 adult female twins from the Michigan State University Twin Registry. Cholesky decomposition twin models showed that comorbidity between dimensionally modeled internalizing and DE was due to overlapping genetic ( r = .55; 69.3% of shared variance) and nonshared environmental influences ( r = .26; 30.7% of shared variance). When ER was added into the model, all genetic influences shared between internalizing and DE were attributable to ER, suggesting genetic influences on ER are the primary driver of comorbidity between internalizing and DE. Shared genes may shape affective processing, interoceptive sensitivity, or other brain-based processes (e.g., cognitive control) implicated in ER.
{"title":"Comorbidity Between Internalizing Symptoms and Disordered Eating Is Primarily Driven by Genetic Influences on Emotion Regulation in Adult Female Twins","authors":"Megan E. Mikhail, S. Alexandra Burt, Michael C. Neale, Pamela K. Keel, Debra K. Katzman, Kelly L. Klump","doi":"10.1177/21677026241230335","DOIUrl":"https://doi.org/10.1177/21677026241230335","url":null,"abstract":"Internalizing (e.g., anxiety, depression) and disordered eating (DE; e.g., binge eating, dietary restraint) are highly comorbid, but the mechanisms underlying their comorbidity remain unknown. This was the first twin study to examine whether their co-occurrence may be driven by genetic and/or environmental influences on emotion regulation (ER; ability to modulate duration/intensity of emotions). Analyses included 688 adult female twins from the Michigan State University Twin Registry. Cholesky decomposition twin models showed that comorbidity between dimensionally modeled internalizing and DE was due to overlapping genetic ( r = .55; 69.3% of shared variance) and nonshared environmental influences ( r = .26; 30.7% of shared variance). When ER was added into the model, all genetic influences shared between internalizing and DE were attributable to ER, suggesting genetic influences on ER are the primary driver of comorbidity between internalizing and DE. Shared genes may shape affective processing, interoceptive sensitivity, or other brain-based processes (e.g., cognitive control) implicated in ER.","PeriodicalId":54234,"journal":{"name":"Clinical Psychological Science","volume":"68 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140124789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-13DOI: 10.1177/21677026241230458
Cele Richardson, Natasha R. Magson, Ella Oar, Jasmine Fardouly, Carly Johnco, Justin Freeman, Ron M. Rapee
Sleep problems commonly co-occur alongside generalized and social anxiety, depression, and eating disorders in young people. Yet it is unclear if sleep disturbance conveys risk for these social-emotional disorders across early to middle adolescence and whether repetitive negative thinking (RNT) mediates this association. In this study, we examined longitudinal relationships between sleep (morning/eveningness, school-night sleep duration, and sleepiness), general and presleep RNT, and symptoms of generalized and social anxiety, depression, and eating disorders across 5 years. As part of the wider Risks to Adolescent Wellbeing Project, these constructs were assessed in a cohort of 528 youths over six annual waves of data collection, spanning ages 11 to 16. Cross-lagged panel models that examined direct, indirect, and bidirectional associations showed that worse adolescent sleep predicted increases in symptoms of generalized anxiety, social anxiety, depression, and eating disorders across each wave directly and indirectly through general and presleep RNT. Symptoms of social-emotional disorders did not predict worsening in sleep. Results suggest that sleep disturbance and RNT should be targeted simultaneously in the prevention and treatment of social-emotional disorders in adolescence, although limitations around the use of self-report and nondiagnostic symptom measures are noted.
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