We provide open access to Life + Health documentation, study instruments, and code used to construct the analytic dataset to promote transparency and reproducibility. These materials are available via Harvard Dataverse and our GitHub organization, which cross‑reference one another.

• Harvard Dataverse: https://doi.org/10.7910/DVN/QNJV0A
• GitHub: https://github.com/LifeAndHealthStudy

De‑identified, standardized Life + Health data for all 699 participants—drawn from three Boston community health centers and described in the public data dictionary—are available only through a structured review process.

• Life + Health Data Access Application

Unless otherwise specified on this page, review meetings are typically held on the first Wednesday of February, May, August, and November.

For questions about Life + Health data access or this process, please contact: krieger_group_data_sharing@hsph.harvard.edu.

• A video excerpt of our invited Life + Health presentation from the NIH NIMHD Workshop on Addressing the Influence of Interpersonal Biases Workshop (Day 2) is available here; if interested in the full‑day recording, see here for the full NIH NIMHD Workshop on Addressing the Influence of Interpersonal Biases Day 2 recording.

• Marini, M., Waterman, P. D., Breedlove, E., Chen, J. T., Testa, C., Reisner, S. L., Pardee, D. J., Mayer, K. H., & Krieger, N. (2021). The target/perpetrator brief‑implicit association test (B‑IAT): An implicit instrument for efficiently measuring discrimination based on race/ethnicity, sex, gender identity, sexual orientation, weight, and age. BMC Public Health, 21(1), 158. https://doi.org/10.1186/s12889-021-10171-7
• Krieger, N., LeBlanc, M., Waterman, P. D., Reisner, S. L., Testa, C., & Chen, J. T. (2023). Decreasing Survey Response Rates in the Time of COVID‑19: Implications for Analyses of Population Health and Health Inequities. American Journal of Public Health, 113(6), 667–670. https://doi.org/10.2105/AJPH.2023.307267
• LeBlanc, M. E., Testa, C., Waterman, P. D., Reisner, S. L., Chen, J. T., Breedlove, E. R., Mbaye, F., Nwamah, A., Mayer, K. H., Oendari, A., & Krieger, N. (2023). Contextualizing Response Rates During the COVID‑19 Pandemic: Experiences From a Boston‑Based Community Health Centers Study. Journal of Public Health Management and Practice, 29(6), 882–891. https://doi.org/10.1097/PHH.0000000000001785
• Marini, M., Waterman, P. D., Breedlove, E. R., Chen, J. T., Testa, C., Pardee, D. J., LeBlanc, M., Reisner, S. L., Oendari, A., & Krieger, N. (2023). Using Implicit Measures of Discrimination: White, Black, and Hispanic Participants Respond Differently to Group‑Specific Racial/Ethnic Categories vs. the General Category “People of Color” in the USA. Journal of Racial and Ethnic Health Disparities, 10(4), 1682–1692. https://doi.org/10.1007/s40615-022-01353-z
• Reisner, S. L., Johnson, N., Chen, J. T., Marini, M., LeBlanc, M. E., Mayer, K. H., Oendari, A., Bright, D. M., Callender, S., Valdez, G., Khan, T., & Krieger, N. (2025). Analyzing multiple types of discrimination using implicit and explicit measures, comparing target vs. dominant groups, in a study of smoking/vaping among community health center members in Boston, Massachusetts (2020–2022). International Journal for Equity in Health, 24(1), 110. https://doi.org/10.1186/s12939-025-02456-9
• Zubizarreta, D., Reisner, S. L., Chen, J. T., LeBlanc, M. E., Johnson, N. R., & Krieger, N. (2025). Context matters: Validity and reliability of a sociopolitical concerns measure for use in population health research on discrimination and health. Annals of Epidemiology, 107, 24–28. https://doi.org/10.1016/j.annepidem.2025.05.008