About

David R. Williams is the Florence Sprague Norman and Laura Smart Norman Professor of Public Health at Harvard University, also serving as a Professor of African and African American Studies and Sociology. He holds an MPH from Loma Linda University and a PhD in Sociology from the University of Michigan. With previous faculty appointments at Yale University and the University of Michigan, Dr. Williams is an internationally recognized social scientist focused on social influences on health. His research has significantly contributed to understanding how socioeconomic status, race, stress, racism, health behavior, and religious involvement impact health outcomes. He has authored more than 475 scientific papers and developed the Everyday Discrimination Scale, the most widely used measure of discrimination in health studies. Dr. Williams has been elected to the National Academy of Medicine, the American Academy of Arts and Sciences, and the National Academy of Sciences, and has received numerous honors including awards from the American Sociological Association, the American Psychological Association, and the New York Academy of Medicine. His work includes directing the South African Stress and Health Study, the first nationally representative study of mental disorders in sub-Saharan Africa, and participating in the largest study of mental health disorders in the African American population in the U.S. He has played a prominent role in health policy development at the national level, serving on various committees including the National Committee on Vital and Health Statistics and the committee that prepared the Unequal Treatment report. Dr. Williams has been a national leader in raising awareness of health inequalities and identifying interventions to address them. He served as the staff director of the Robert Wood Johnson Foundation’s Commission to Build a Healthier America and has collaborated with health organizations internationally. His research and insights have been featured by major news organizations, and he delivered a TEDMED talk in 2017. He has also served as a key scientific advisor to the PBS series, Unnatural Causes: Is Inequality Making Us Sick?

Research topics

• Medicine
• Sociology
• Political Science
• Demography
• Psychology
• Pathology
• Internal medicine
• Gender studies
• Nursing
• Gerontology
• Clinical psychology
• Social psychology
• Ethnology
• Psychiatry
• Immunology
• Criminology
• Public relations
• Environmental health
• Developmental psychology

Selected publications

• Severe Obesity and Left Ventricular Assist Device

  The Journal of Heart and Lung Transplantation · 2025-04-01

  articleOpen access
  PublisherOA PDFDOI

• Considerations and Context for Measuring and Addressing Racism: An Interview With David R. Williams

  American Public Health Association eBooks · 2025-01-01

  book-chapter1st authorCorresponding
  PublisherDOI

• A review of the impact of structural racism on lived experiences of adolescents of African descent: Implications for development, brain structure, and health

  Neuropsychopharmacology · 2025-09-26 · 6 citations

  reviewOpen access

  Structural racism is embedded in nearly every sector of society, creating social and environmental contextual drivers that affect the mental and physical health of minoritized populations. Increasing suicide rates and patterns of early onset of chronic disease have prompted inquiries about the potential effects of structural racism on the overall health and well-being of Black youth. To address this concern, we posed the following questions: (1) In what ways does structural racism filter into and affect the development of adolescents of African descent? (2) Have investigations examined variability in the effects and consequences of structural racism on lived experience and development of Black youth? (3) How does structural racism get inside the skull to affect development including mental and physical health outcomes? and (4) Are there pathways through which family-centered preventive interventions can shape youths' neurodevelopment to avert the negative consequences of structural racism on their health trajectories? Considerations for future research and clinical practices are offered, with implications to refine the complex and entrenched linkages between structural racism and health disparities among minoritized youth, their families, and communities.

  PublisherOA PDFDOI

• The European Union’s role in the development of biopharmaceutical ecosystems

  Elsevier eBooks · 2025-10-10

  book-chapter1st authorCorresponding
  PublisherDOI

• Patterns and predictors of 12-month treatment of common anxiety, mood, and substance use disorders in the World Mental Health (WMH) surveys: treatment in the context of perceived need

  International Journal of Mental Health Systems · 2025-03-14 · 5 citations

  articleOpen access

  BACKGROUND: Data from the World Mental Health (WMH) surveys on the coverage cascade has underscored the importance of perceived need for seeking treatment of mental disorders. However, little research has focused on treatment contact after adjusting for perceived need. We do so here in analysis of WMH data. METHODS: The WMH data considered here come from 25 community surveys implemented between 2001 and 2019 across 21 countries. n = 12,508 of the n = 117,739 respondents in these surveys aged 18 and older met criteria for one or more 12-month DSM-IV anxiety, mood, or substance use disorders assessed across all these surveys. Information was obtained about 12-month treatment of each disorder. The predictors considered were disorder type, socio-demographics, and history of prior treatment. RESULTS: Twelve-month treatment was obtained for 17.7% of the n = 18,702 12-month person-disorders in the sample, including 34.1% for the 46.5% with perceived need and 3.5% for the 54.5% without perceived need. After adjusting for perceived need, receiving treatment was most strongly associated with disorder characteristics (severity, and highest for major depressive, panic/agoraphobia, and generalized anxiety disorders; lowest for substance use disorders), health insurance, employment status (highest for students, the retired, and the unemployed/disabled), and several aspects of prior treatment. These associations were generally similar in cases with and without perceived need for treatment. 12-month treatment among cases who without perceived need and without history of prior treatment was rare (1.1%). CONCLUSIONS: Findings highlight the critical importance of perceived need for obtaining 12-month treatment in the context of other significant predictors involving complexity and severity of disorders and socio-demographic factors. The importance of prior treatment history was quite striking, as was the finding that absence of both perceived need and prior treatment history were associated with a nearly complete absence of treatment. Policy recommendations emerging from these results include the need to increase health literacy, reduce the stigmatization of mental disorder, enhance access through health insurance, and improve the quality of care given the clear evidence that prior experiences with treatment play an important role in determining the likelihood of again seeking treatment for current problems.

  PublisherOA PDFDOI

• From bedside to orbit: the enduring impact of physician-astronauts over six decades of space exploration

  Journal of the Royal Society of Medicine · 2025-12-01 · 2 citations

  articleOpen access
  PublisherDOI

• Relative literature synopsis

  Elsevier eBooks · 2025-10-10

  book-chapter1st authorCorresponding
  PublisherDOI

• SUBMUCOSAL UTERINE FIBROIDS ARE ASSOCIATED WITH ANEMIA IN BLACK WOMEN

  Fertility and Sterility · 2025-12-01

  article
  PublisherDOI

• Effective Treatment for Mental and Substance Use Disorders in 21 Countries

  JAMA Psychiatry · 2025-02-05 · 16 citations

  article

  Importance: Accurate baseline information about the proportion of people with mental disorders who receive effective treatment is required to assess the success of treatment quality improvement initiatives. Objective: To examine the proportion of mental and substance use disorders receiving guideline-consistent treatment in multiple countries. Design, Setting, and Participants: In this cross-sectional study, World Mental Health (WMH) surveys were administered to representative adult (aged 18 years and older) household samples in 21 countries. Data were collected between 2001 and 2019 and analyzed between February and July 2024. Twelve-month prevalence and treatment of 9 DSM-IV anxiety, mood, and substance use disorders were assessed with the Composite International Diagnostic Interview. Effective treatment and its components were estimated with cross-tabulations. Multilevel regression models were used to examine predictors. Main Outcomes and Measures: The main outcome was proportion of effective treatment received, defined at the disorder level using information about disorder severity and published treatment guidelines regarding adequate medication type, control, and adherence and adequate psychotherapy frequency. Intermediate outcomes included perceived need for treatment, treatment contact separately in the presence and absence of perceived need, and minimally adequate treatment given contact. Individual-level predictors (multivariable disorder profile, sex, age, education, family income, marital status, employment status, and health insurance) and country-level predictors (treatment resources, health care spending, human development indicators, stigma, and discrimination) were traced through intervening outcomes. Results: Among the 56 927 respondents (69.3% weighted average response rate), 32 829 (57.7%) were female; the median (IQR) age was 43 (31-57) years. The proportion of 12-month person-disorders receiving effective treatment was 6.9% (SE, 0.3). Low perceived need (46.5%; SE, 0.6), low treatment contact given perceived need (34.1%; SE, 1.0), and low effective treatment given minimally adequate treatment (47.0%; SE, 1.7) were the major barriers, but with substantial variation across disorders. Country-level general medical treatment resources were more important than mental health treatment resources. Other than for the multivariable disorder profile, which was associated with all intermediate outcomes, significant predictors were largely mediated by treatment contact. Conclusions and Relevance: In addition to the gaps in treatment quality, these results highlight the importance of increasing perceived need, the largest barrier to effective treatment; the importance of training primary care treatment clinicians in recognition and treatment of mental disorders; the need to improve the continuum of care, especially from minimally adequate to effective treatment; and the importance of bridging the effective treatment gap for men and people with lower education.

  PublisherDOI

• Funding and Defunding of NIH Research Should Be Based on Real Science and Not Politics or Amorphous Constructs

  American Journal of Public Health · 2025-10-09 · 1 citations

  articleOpen access
  PublisherOA PDFDOI

Recent grants

• NIH Grant P01MH058565

  NIH · $10.6M · 2008

• NIH Grant R01MH057425

  NIH · $458k · 2001

• NIH Grant N01HC095095

  NIH · $11.7M · 2003

• NIH Grant T32MH016806

  NIH · $5.6M · 2007

• NIH Grant R01MH059575

  NIH · $3.4M · 2008

Frequent coauthors

• Natalie Slopen

  119 shared

• Jordi Alonso

  Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública

  119 shared

• Dan J. Stein

  South African Medical Research Council

  116 shared

• Carol D. Ryff

  Institute on Aging

  70 shared

• Laura D. Kubzansky

  Harvard University

  66 shared

• Josep María Haro

  Instituto de Salud Carlos III

  60 shared

• Giovanni de Girolamo

  Istituti di Ricovero e Cura a Carattere Scientifico

  59 shared

• Eric B. Rimm

  Brigham and Women's Hospital

  56 shared

Education

• Ph.D., Sociology

  University of Michigan

• Other

  Loma Linda University

Awards & honors

• Elected to the National Academy of Medicine (2001)
• Elected to the American Academy of Arts and Sciences (2007)
• Elected to the National Academy of Sciences (2019)
• Distinguished contribution awards from the American Sociolog…
• Distinguished contribution awards from the American Psycholo…