About

Shannon Peters, PhD, is a Clinical Assistant Professor in the Department of Health Sciences at Boston University Sargent College of Health & Rehabilitation Sciences. She holds a BA in Behavioral Neuroscience from Purdue University (2011), an MS in Mental Health Counseling from the University of Massachusetts Boston (2015), and a PhD in Counseling Psychology from the University of Massachusetts Boston (2019). Her scholarly, research, and practice interests focus on challenging dominant assumptions that pathologize non-normative experiences and medicalize responses to oppression, with the goal of promoting inclusive physical and mental health care and fostering resilient communities. Peters's work emphasizes LGBTQ+ health and gender-inclusive healthcare, as well as the demedicalization of trauma and oppression, anti-oppressive clinical work, training, and policy. She has contributed to the field through numerous publications and presentations that explore feminist mental health, mental health research dissemination, and best practices for inclusive and affirming care in diverse settings.

Research topics

• Political Science
• Engineering
• Business
• Sociology
• Public relations
• Computer Science
• Social Science
• Medicine
• Psychology

Selected publications

• Work-related Well-Being, Turnover Intention, and Completed Turnover in a Cohort of U.S. Patient Care Workers

  Journal of Occupational and Environmental Medicine · 2026-03-23

  article

  OBJECTIVE: To determine whether burnout and thriving from work affect turnover intention and actual turnover. METHODS: This study used multivariable logistic regression to estimate the impact of burnout and thriving from work on turnover intention in a cohort of nurses and nursing assistants. Using administrative records of turnover, we used Cox regression to estimate the impact of these two factors on actual turnover. RESULTS: Burnout affected both turnover intention and actual turnover, although 95% confidence limits for the effect of burnout among nursing assistants included 1.0. Thriving affected turnover intention but did not increase actual turnover. CONCLUSIONS: Using turnover intention as a proxy for actual turnover may be misleading.

  PublisherDOI

• Healthy Work, Healthy Heart? The Role of Job Characteristics in Promoting Heart Health

  Cardiology Clinics · 2026-01-17 · 1 citations

  article1st authorCorresponding
  PublisherDOI

• Additional file 1 of Artificial intelligence in the workplace: a living systematic review protocol on worker safety, health, and well-being implications

  Figshare · 2025-01-01

  articleOpen access

  Additional file 1: PRISMA-P-SystRev-checklist.

  PublisherDOI

• Artificial intelligence in the workplace: a living systematic review protocol on worker safety, health, and well-being implications

  Systematic Reviews · 2025-12-30

  articleOpen access

  BACKGROUND: Advancements in artificial intelligence (AI) are transforming employment and working conditions in ways that shape the safety, health, and well-being of workers. We describe a protocol for a living systematic review (LSR) that will examine the interrelationship between AI systems, employment and working conditions, and worker safety, health, and well-being. Research questions are: 1. What types of AI systems are being used within workplaces and how do their design and adoption impact worker safety, health, and well-being? 2. How do a worker's employment and working conditions affect the relationship between the adoption of AI systems and worker safety, health, and well-being? 3. How does a worker's social position (e.g., age, gender, race, disability) shape the interrelationship between AI systems at work, employment and working conditions, and their safety, health, and well-being? METHODS: A comprehensive search of primary qualitative and quantitative research will be conducted. MEDLINE, Embase (OVID), PsycINFO (OVID), and Web of Science will be searched every six to twelve months using database-specific terms and keywords. Title/abstract and full-text screening will be completed independently by two reviewers. Relevant articles will be quality appraised using a mixed method assessment tool adapted for studies of AI. Medium and high-quality studies will be synthesized using a best evidence synthesis approach. To ensure relevancy, applied workplace and AI stakeholders will provide feedback at all stages of the LSR process through dissemination excluding quality appraisal. Annually, we will evaluate the appropriateness of the review process (e.g., frequency of searches, requirement to refine research questions, utility of continuing LSR). Any amendments to protocols will be documented. DISCUSSION: This LSR will provide timely and evolving evidence on the implications of AI in the workplace that will be disseminated through a publicly available living review dashboard. We will capture the emerging impact AI has on workers. Findings can be used to develop strategies to minimize AI's potential workplace harms while amplifying its potential benefits, address emerging worker inequities, and inform ongoing discussions regarding responsible and safe AI adoption. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42024625501.

  PublisherOA PDFDOI

• Does working from home limit our strengths? Investigating character strength application in hybrid work contexts within 2 diary studies

  The International Journal of Human Resource Management · 2025-03-26 · 1 citations

  articleOpen accessSenior author
  PublisherDOI

• We need more voices, not less! Promoting employee voice through transformational leadership: The mediating role of organization-based self-esteem

  Economic and Industrial Democracy · 2025-05-03

  articleOpen accessSenior author

  This study examines the empowering effect of transformational leadership on employees’ promotive voice behavior. In addition, the mediating effect of organization-based self-esteem and the moderating effect of job insecurity were investigated. Survey data were collected from 128 Chilean employees (enrolled in an executive business specialization program at a major Chilean university) three times using a time-lagged design. Latent moderated structural equation modeling was conducted to test the research hypotheses using Mplus. Results indicate that organization-based self-esteem fully mediates the positive relationship between transformational leadership and employees’ promotive voice behavior. Job insecurity had no significant moderating effect. This article contributes to the literature on transformational leadership by (1) providing insight into the role of organization-based self-esteem as a mechanism of follower transformation, (2) studying the boundary condition of quantitative job insecurity that may influence the effectiveness of transformational leadership, and (3) using a three-wave time-lagged design to understand these relationships.

  PublisherDOI

• 8292649 Occupational exposure to chlorinated solvents and risk of amyotrophic lateral sclerosis: a chinese case-control study

  2025-10-01

  articleOpen access

  <h3>Objectives</h3> Previous studies on the association between occupational exposure to chlorinated solvents and the risk of amyotrophic lateral sclerosis (ALS) have shown inconsistent results. We aim to examine the association in a Chinese case-control study. <h3>Methods</h3> We conducted a hospital-based case-control study, recruiting 430 newly diagnosed ALS cases and 1,033 controls. Occupational exposure to trichloroethylene (TCE) and perchloroethylene (PCE) was estimated using semi-quantitative job-exposure matrices (JEMs), developed from routine industrial hygiene monitoring datasets, published literature, international JEMs, and expert input. Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for ALS risk in relation to various exposure metrics, adjusting for age, sex, education, residential distance to hospital, and pesticide exposure. <h3>Results</h3> TCE and PCE exposures were highly correlated (r = 0.93, P &lt; 0.001), and exposure-associated ALS risk showed similar patterns. Ever exposure to TCE was associated with a lower risk of ALS compared to unexposed (OR: 0.55, 95%CI: 0.38-0.79). When cumulative TCE exposure was categorized into quartiles based on the control distribution, adjusted ORs (95%CI) for ALS risk were 0.43 (0.21–0.83), 0.46 (0.20–0.98), 0.38 (0.15–0.82), and 0.89 (0.49–1.56) across increasing quartiles. Exposure-response trend was not significant when excluding non-exposed individuals (Ptrend = 0.143). In sensitivity analyses limited to job titles with higher certainty of TCE exposure, inverse associations remained but were less precise. <h3>Discussions</h3> Our preliminary findings suggest a potential inverse association between occupational chlorinated solvents exposure and ALS risk, particularly at lower exposure levels. However, the lack of a consistent exposure-response and imprecision in sensitivity analyses warrant cautious interpretation. This is the first study to assess lifetime occupational exposure specifically to TCE and PCE and ALS risk in Asian populations using semi-quantitative JEMs. These results contribute to a growing body of evidence on chlorinated solvents-related neurotoxicity.

  PublisherOA PDFDOI

• Additional file 1 of Artificial intelligence in the workplace: a living systematic review protocol on worker safety, health, and well-being implications

  Figshare · 2025-01-01

  articleOpen access

  Additional file 1: PRISMA-P-SystRev-checklist.

  PublisherDOI

• Artificial intelligence in the workplace: a living systematic review protocol on worker safety, health, and well-being implications

  Figshare · 2025-01-01

  otherOpen access

  Abstract Background Advancements in artificial intelligence (AI) are transforming employment and working conditions in ways that shape the safety, health, and well-being of workers. We describe a protocol for a living systematic review (LSR) that will examine the interrelationship between AI systems, employment and working conditions, and worker safety, health, and well-being. Research questions are: 1. What types of AI systems are being used within workplaces and how do their design and adoption impact worker safety, health, and well-being? 2. How do a worker’s employment and working conditions affect the relationship between the adoption of AI systems and worker safety, health, and well-being? 3. How does a worker’s social position (e.g., age, gender, race, disability) shape the interrelationship between AI systems at work, employment and working conditions, and their safety, health, and well-being? Methods A comprehensive search of primary qualitative and quantitative research will be conducted. MEDLINE, Embase (OVID), PsycINFO (OVID), and Web of Science will be searched every six to twelve months using database-specific terms and keywords. Title/abstract and full-text screening will be completed independently by two reviewers. Relevant articles will be quality appraised using a mixed method assessment tool adapted for studies of AI. Medium and high-quality studies will be synthesized using a best evidence synthesis approach. To ensure relevancy, applied workplace and AI stakeholders will provide feedback at all stages of the LSR process through dissemination excluding quality appraisal. Annually, we will evaluate the appropriateness of the review process (e.g., frequency of searches, requirement to refine research questions, utility of continuing LSR). Any amendments to protocols will be documented. Discussion This LSR will provide timely and evolving evidence on the implications of AI in the workplace that will be disseminated through a publicly available living review dashboard. We will capture the emerging impact AI has on workers. Findings can be used to develop strategies to minimize AI’s potential workplace harms while amplifying its potential benefits, address emerging worker inequities, and inform ongoing discussions regarding responsible and safe AI adoption. Systematic review registration PROSPERO CRD42024625501.

  PublisherDOI

• Additional file 2 of Artificial intelligence in the workplace: a living systematic review protocol on worker safety, health, and well-being implications

  Figshare · 2025-01-01

  articleOpen access

  Additional file 2: Search strategy example.

  PublisherDOI

Frequent coauthors

• Mark Ross

  111 shared

• Glorian Sorensen

  Harvard University

  52 shared

• Karina Nielsen

  33 shared

• Eve M. Nagler

  33 shared

• Michel W. Coppieters

  Vrije Universiteit Amsterdam

  31 shared

• Jennifer R. Madden

  25 shared

• Gregory Couzens

  Brisbane Hand & Upper Limb Research Institute

  25 shared

• Anna Revette

  Dana-Farber Cancer Institute

  25 shared

Education

• Post Doctoral Research Fellow, Environmental Health & Social and Behavioral Sciences

  Harvard School of Public Health

  2019

• PhD, School of Health and Rehabilitation Sciences

  University of Queensland

  2016

• Bocecthy(Hons), School of Health and Rehabilitation Sciences

  University of Queensland

  2001