Patrick Bradshaw
· Associate Professor, EpidemiologyVerifiedUniversity of California, Berkeley · Public Health and Neuroscience
Active 1993–2026
About
Patrick Bradshaw is an Associate Professor of Epidemiology at the School of Public Health at UC Berkeley and holds the Martin Sisters Endowed Chair of Medical Research and Public Health. His research is centered on the identification of factors related to obesity-related chronic disease outcomes, including cardiometabolic disorders and cancer survival. Dr. Bradshaw’s work also involves the application and development of epidemiologic methods to advance research in these areas, with a particular focus on quantitative methodological issues such as methods for multiple exposure (mixture) modeling, bias analysis, and missing data. He received his bachelor's and master's degrees in economics from Florida State University, a master's degree in Statistics from the University of Florida, and a doctorate in epidemiology from the University of North Carolina at Chapel Hill. His academic and research interests include obesity epidemiology, cardiovascular disease epidemiology, cancer epidemiology, and epidemiologic methods. Dr. Bradshaw has also contributed to teaching courses such as Epidemiologic Analysis, Advanced Epidemiologic Methods, and Doctoral Seminar at UC Berkeley.
Research topics
- Medicine
- Internal medicine
- Physical therapy
- Emergency medicine
- Business
- Accounting
- Developmental psychology
- Oncology
- Psychiatry
- Psychology
- Biology
- Nursing
- Environmental health
- Family medicine
Selected publications
Layoffs in automobile manufacturing and mortality among remaining workers
Journal of Epidemiology & Community Health · 2026-02-09
articleOpen accessBACKGROUND: Layoffs may affect the health of those who lose their jobs as well as those who remain employed. Existing studies have found that remaining employed through layoffs is associated with poorer mental health in the short term, but the implications for long-term outcomes such as mortality remain unclear. METHODS: We estimated adjusted HRs for all-cause and cause-specific mortality associated with layoff intensity while employed among white men, non-white men and women in a cohort of 9761 autoworkers who worked at one of three plants in Michigan between the years 1950 and 1980. We defined layoff intensity as the number of layoff months endured while employed divided by duration of employment. We identified layoff months as those in which the percentage of the workforce leaving employment was 1.96 SD above the predicted value from an autoregressive integrated moving average model. RESULTS: We found statistically significant associations among non-white men but not women or white men. Relative to layoff intensity below the first quartile, the adjusted HR associated with layoff intensity between the first and second quartiles was 1.35 (95% CI 1.05 to 1.74) for all-cause mortality among non-white men. The adjusted HRs associated with layoff intensity between the second and third quartiles were 1.85 (95% CI 1.08 to 3.17) and 2.41 (95% CI 1.00 to 5.84) for death due to all cancers and lung cancer, respectively. CONCLUSION: Layoffs endured while employed may lead to early mortality among non-white male employees. Reducing workforce instability may reduce racial disparities in health.
2025-11-26
articleOpen access<p>Posterior Median Hazard Ratios and 95% Credible Intervals from Piecewise Exponential Proportional Hazards Model for All-Cause Mortality, Breast Cancer-Specific Mortality, and Breast Cancer Recurrence in the Pathways Study</p>
2025-11-26
articleOpen access<p>Multivariable Cox Proportional Hazards Models for the Associations of Changes in Components of the Lifestyle Score on All-Cause Mortality and Breast Cancer Recurrence in the Pathways Study.</p>
2025-11-26
articleOpen access<p>Categorization of the modified baseline and 2-year post-diagnosis lifestyle scores.</p>
2025-12-17
articleOpen access<p>Sample output from parametric g-computation algorithm calculating 5-year risks of all-cause mortality when hypothetically intervening on different levels of the healthy plant-based diet score (hPDI)</p>
2025-12-17
articleOpen access<p>Left column: comparisons of the observed (solid line) vs the natural course (dotted line) estimates by 4-month time intervals from baseline. Right column: differences between observed and natural course estimates (solid line) and 95% pointwise confidence intervals (dotted lines) by 4-month time intervals from baseline.</p>
2025-12-17
articleOpen access<p>Immediate cause of death among Pathways participants who died during the study period (n=734)</p>
Maternity leave and breastfeeding during COVID: a cross-sectional study
International Breastfeeding Journal · 2025-11-19
articleOpen accessMaternity leave is an important driver of a woman’s ability to breastfeed, but this association may have changed during the COVID pandemic, which introduced new employment dynamics and breastfeeding challenges for mothers in the workforce. Our objectives were to examine the associations between maternity leave length and type of maternity leave (paid vs. unpaid) with breastfeeding initiation and breastfeeding duration during the pandemic, and to compare our findings with pre-pandemic data. Our sample was 3,683 recently postpartum women, currently in the workforce, who had given birth between March-December 2020 in the US. Data were obtained from the Pregnancy Risk Assessment and Monitoring System (PRAMS) survey, a population-based surveillance system developed by the Centers for Disease Control (CDC) in the US. We examined associations between taking longer maternity leave compared with shorter (≥ 3 vs. < 3 months), and breastfeeding initiation or continuation (at 1, 2, and 3 months after delivery). We also examined heterogeneity in the associations between maternity leave and breastfeeding by a range of characteristics. During COVID, having a longer maternity leave was not associated with breastfeeding initiation or continuation. These results contrast with pre-pandemic findings from the same cohort, in which a longer maternity leave was associated with more breastfeeding. In tests of heterogeneity in our current analysis, women who were younger, not married, less educated, or who did not receive any pay during their leave were less likely to continue breastfeeding if they took a shorter maternity leave than if they took a longer maternity leave. The COVID pandemic created a natural experiment for exploring associations between employment and breastfeeding among women in the workforce. Our results suggest that the conditions of the pandemic may have minimized average differences in breastfeeding outcomes by maternity leave length because more women were at home. However, our study highlighted that benefits were concentrated among women who were older, more educated, married, and who received paid leave, reinforcing the urgent need to support women who face greater economic and social disadvantages within the US.
2025-12-17
articleOpen access<p>Baseline characteristics comparing Pathways Study enrolled participants with eligible, unenrolled Kaiser Permanente members</p>
2025-12-17
articleOpen access<p>Steps for estimating risks of all-cause mortality under hypothetical interventions using parametric g-computation</p>
Frequent coauthors
- 155 shared
Alfred I. Neugut
- 151 shared
Susan L. Teitelbaum
Icahn School of Medicine at Mount Sinai
- 139 shared
Marilie D. Gammon
- 97 shared
Susan E. Steck
University of South Carolina
- 96 shared
Regina M. Santella
Columbia University
- 79 shared
Kathleen Conway
- 59 shared
Lawrence S. Engel
- 59 shared
Elizabeth M. Cespedes Feliciano
Awards & honors
- Berkeley Public Health’s Patrick Bradshaw awarded 2020 Hellm…
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