Jennifer S. Mascaro

Dr. Jennifer S. Mascaro

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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 October 2020 in Frontiers in Psychology
Verified
Journal Article
Open access
PDF file
JMJennifer S. Mascaro
Jennifer S. Mascaro
MFMarianne P. Florian
Marianne P. Florian
MAMarcia J. Ash
Marcia J. Ash
PPPatricia K. Palmer
Patricia K. Palmer
TFTyralynn Frazier
Tyralynn Frazier
CRCharles Raison
Charles Raison
Over the last decade, empirical research on compassion has burgeoned in the biomedical, clinical, translational, and foundational sciences. Increasingly sophisticated understandings and measures of compassion continue to emerge from the abundance of multidisciplinary and cross-disciplinary studies. Naturally, the diversity of research methods and theoretical frameworks employed presents a significant challenge to consensus and synthesis of this knowledge. To bring the empirical findings of separate and sometimes siloed disciplines into conversation with one another requires an examination of their disparate assumptions about what compassion is and how it can be known. Here, we present an integrated theoretical review of methodologies used in the empirical study of compassion. Our goal is to highlight the distinguishing features of each of these ways of knowing compassion, as well as the strengths and limitations of applying them to specific research questions. We hope this will provide useful tools for selecting methods that are tailored to explicit objectives (methods matching), taking advantage of methodological complementarity across disciplines (methods mixing), and incorporating the empirical study of compassion into fields in which it may be missing.

19 September 2016 in The Journal of Positive Psychology
Verified
Journal Article
Closed access
JMJennifer S. Mascaro
Jennifer S. Mascaro
SKSean Kelley
Sean Kelley
ADAlana Darcher
Alana Darcher
LNLobsang Tenzin Negi
Lobsang Tenzin Negi
CWCarol Worthman
Carol Worthman
CRCharles Raison
Charles Raison
Increasing data suggest that for medical school students the stress of academic and psychological demands can impair social emotions that are a core aspect of compassion and ultimately physician competence. Few interventions have proven successful for enhancing physician compassion in ways that persist in the face of suffering and that enable sustained caretaker well-being. To address this issue, the current study was designed to (1) investigate the feasibility of cognitively-based compassion training (CBCT) for second-year medical students, and (2) test whether CBCT decreases depression, enhances compassion, and improves daily functioning in medical students. Compared to the wait-list group, students randomized to CBCT reported increased compassion, and decreased loneliness and depression. Changes in compassion were most robust in individuals reporting high levels of depression at baseline, suggesting that CBCT may benefit those most in need by breaking the link between personal suffering and a concomitant drop in compassion.

12 February 2015 in Frontiers in Psychology
Verified
Journal Article
Open access
PDF file
JMJennifer S. Mascaro
Jennifer S. Mascaro
ADAlana Darcher
Alana Darcher
LNLobsang T. Negi
Lobsang T. Negi
CRCharles L. Raison
Charles L. Raison
Although kindness-based contemplative practices are increasingly employed by clinicians and cognitive researchers to enhance prosocial emotions, social cognitive skills, and well-being, and as a tool to understand the basic workings of the social mind, we lack a coherent theoretical model with which to test the mechanisms by which kindness-based meditation may alter the brain and body. Here we link contemplative accounts of compassion and loving-kindness practices with research from social cognitive neuroscience and social psychology to generate predictions about how diverse practices may alter brain structure and function and related aspects of social cognition. Contingent on the nuances of the practice, kindness-based meditation may enhance the neural systems related to faster and more basic perceptual or motor simulation processes, simulation of another’s affective body state, slower and higher-level perspective-taking, modulatory processes such as emotion regulation and self/other discrimination, and combinations thereof. This theoretical model will be discussed alongside best practices for testing such a model and potential implications and applications of future work.

7 October 2020 in Mindfulness
Verified
Journal Article
Open access
PDF file
JSJeremy L. Smith
Jeremy L. Smith
JAJason W. Allen
Jason W. Allen
CHCarla Haack
Carla Haack
KWKathryn Wehrmeyer
Kathryn Wehrmeyer
KAKayley Alden
Kayley Alden
JMJennifer S. Mascaro
Jennifer S. Mascaro
Objectives Previous research indicates that mindfulness meditation reduces anxiety and depression and enhances well-being. We examined the impact of app-delivered mindfulness meditation on resting state functional MRI (fMRI) connectivity among physician assistant (PA) students and surgery residents. Methods PA students and residents were randomized to receive a popular meditation app or to wait-list control group. Before and after the 8-week meditation period, we acquired fMRI scans of participants’ resting state, and participants completed a self-report measure of mindfulness. We used a 2 × 2, within- and between-group factorial design and leveraged a whole-brain connectome approach to examine changes in within- and between-network connectivity across the entire brain, and to examine whether changes in connectivity were associated with app use or to changes in self-reported mindfulness. Results Meditation practitioners exhibited significantly stronger connectivity between the frontoparietal network and the left and right nucleus accumbens and between the default mode (DMN) and salience networks, among other regions. Mindfulness practice time was correlated with increased connectivity between the lateral parietal cortex and the supramarginal gyrus, which were also positively correlated with increased scores on the “Describing” subscale of the Five Facet Mindfulness Questionnaire between baseline and post-meditation. These findings are consistent with previous research indicating that mindfulness-based interventions alter functional connectivity within the DMN and between the DMN and other networks both during meditation and at rest, as well as increased connectivity in systems important for emotion and reward. Conclusions Recent commentaries call for healthcare provider and trainee wellness programs that are sustainable and preventive in nature rather than reactive; these data indicate that even brief sessions of app-delivered mindfulness practice are associated with functional connectivity changes in a dose-dependent manner.

19 October 2021 in JMIR Formative Research
Verified
Journal Article
Open access
JSJeremy L Smith
Jeremy L Smith
JAJason W Allen
Jason W Allen
CHCarla I Haack
Carla I Haack
KWKathryn L Wehrmeyer
Kathryn L Wehrmeyer
KAKayley G Alden
Kayley G Alden
JMJennifer S. Mascaro
Jennifer S. Mascaro
Background: Health care provider and trainee burnout results in substantial national and institutional costs and profound social effects. Identifying effective solutions and interventions to cultivate resilience among health care trainees is critical. Although less is known about the mental health needs of physician assistants (PAs) or PA students, accumulating research indicates that they experience similarly alarming rates of burnout, depression, and emotional exhaustion. Mobile app–delivered mindfulness meditation may be an effective part of salubrious programming to bolster long-term resilience and health among PA students. Objective: This study aims to examine the impact of app-delivered mindfulness meditation on self-reported mental health symptoms among PA students. A secondary aim is to investigate changes in brain connectivity to identify neurobiological changes related to changes in mental health symptoms. Methods: We recruited PA students enrolled in their third semester of PA school and used a longitudinal, randomized, wait-list–controlled design. Participants randomized to the mindfulness group were provided 1-year subscriptions to the 10% Happier app, a consumer-based meditation app, and asked to practice every day for 8 weeks. Before randomization and again after completion of the 8-week program, all participants completed resting-state functional magnetic resonance imaging as well as self-report assessments of burnout, depression, anxiety, and sleep impairment. App use was acquired as a measure of mindfulness practice time. Results: PA students randomized to the mindfulness group reported improvements in sleep impairment compared with those randomized to the wait-list control group (ηp2=0.42; P=.01). Sleep impairment decreased significantly in the mindfulness group (19% reduction; P=.006) but not in the control group (1% reduction; P=.71). There were no other significant changes in mental health for those randomized to app-delivered mindfulness. Across all students, changes in sleep impairment were associated with increased resting-state functional connectivity between the medial prefrontal cortex (a component of the default mode network) and the superior temporal gyrus, as well as between areas important for working memory. Changes in connectivity predicted categorical conversion from impaired to nonimpaired sleep in the mindfulness group. Conclusions: This pilot study is the first to examine app-based mindfulness for PA students’ mental health and investigate the impact of mindfulness on PA students’ brain function. These findings suggest that app-delivered mindfulness may be an effective tool to improve sleep dysfunction and that it may be an important part of the programming necessary to reduce the epidemic of suffering among health profession trainees.

6 December 2021 in PLOS ONE
Verified
Journal Article
Open access
PDF file
PPPatricia K. Palmer
Patricia K. Palmer
KWKathryn Wehrmeyer
Kathryn Wehrmeyer
MFMarianne P. Florian
Marianne P. Florian
CRCharles Raison
Charles Raison
EIEllen Idler
Ellen Idler
JMJennifer S. Mascaro
Jennifer S. Mascaro
Anxiety is prevalent among hospital inpatients and it has harmful effects on patient well-being and clinical outcomes. We aimed to characterize the sources of hospital distress and their relationship to anxiety. We conducted a cross-sectional study of inpatients (n = 271) throughout two Southeastern U.S. metropolitan hospitals. Participants completed a survey to identify which of 38 stressors they were experiencing. They also completed the State Trait Anxiety Inventory six-item scale. We evaluated the prevalence of stressors, their distribution, and crude association with anxiety. We then used multivariate logistic regression to estimate the association between stressors and clinically relevant anxiety, with and without adjusting for demographic variables. We used factor analysis to describe the interrelationships among stressors and to examine whether groups of stressors tend to be endorsed together. The following stressors were highly endorsed across all unit types: pain, being unable to sleep, feelings of frustration, being overwhelmed, and fear of the unknown. Stressors relating to isolation/meaninglessness and fear/frustration tend to be endorsed together. Stressors were more frequently endorsed by younger, female, and uninsured or Medicaid-insured patients and being female and uninsured was associated with anxiety in bivariate analysis. After controlling for the sources of distress in multivariate linear analysis, gender and insurance status no longer predicted anxiety. Feelings of isolation, lack of meaning, frustration, fear, or a loss of control were predictive. Study results suggest that multiple stressors are prevalent among hospital inpatients and relatively consistent across hospital unit and disease type. Interventions for anxiety or emotional/spiritual burden may be best targeted to stressors that are frequently endorsed or associated with anxiety, especially among young and female patients.