Valerie Meausoone is the Associate Director of Research & Data Strategy at the Stanford Center for Population Health Sciences. In this role, Mrs Meausoone has helped design and test a cloud-based computing system for the distribution and use of high-risk and population-health related datasets at Stanford. In order to promote collaboration across institutions, Mrs. Meausoone has also participated in data transformation efforts to expand the current Observational Medical Outcomes Partnership (OMOP) Common Data Model to administrative non-health related datasets, allowing researchers to share code on datasets formatted with the same schemas and vocabularies. Mrs. Meausoone has recently completed various analyses aimed at leveraging existing data to better study the relationship between social constructs, such as gender norms and women’s economic empowerment, and health.

Current Role at Stanford

Assistant Director of Data Implementation, Data Core Population Health Sciences

Education & Certifications

  • Bachelor, University of Pennsylvania, Biomedical Engineering (2008)


All Publications

  • Gender, Depression, and Blue-collar Work: A Retrospective Cohort Study of US Aluminum Manufacturers. Epidemiology (Cambridge, Mass.) Elser, H., Rehkopf, D. H., Meausoone, V., Jewell, N. P., Eisen, E. A., Cullen, M. R. 2019; 30 (3): 435–44


    BACKGROUND: Industrial blue-collar workers face multiple work-related stressors, but evidence regarding the burden of mental illness among today's blue-collar men and women remains limited.METHODS: In this retrospective cohort study, we examined health and employment records for 37,183 blue- and white-collar workers employed by a single US aluminum manufacturer from 2003 to 2013. Using Cox proportional hazards regression, we modeled time to first episode of treated depression by gender and occupational class. Among cases, we modeled rates of depression-related service utilization with generalized gamma regression.RESULTS: Compared with their white-collar counterparts, blue-collar men were more likely to be treated for depression (hazard ratio [HR] = 1.3; 95% confidence interval [CI] = 1.1, 1.4) as were blue-collar women (HR = 1.4; 1.2, 1.6). Blue-collar women were most likely to be treated for depression as compared with white-collar men (HR = 3.2; 95% CI = 2.1, 5.0). However, blue-collar workers used depression-related services less frequently than their white-collar counterparts among both men (rate ratio = 0.91; 95% CI = 0.84, 0.98) and women (rate ratio = 0.82; 95% CI = 0.77, 0.88).CONCLUSIONS: Blue-collar women were more likely to be treated for depression than white-collar workers, and blue-collar women were most likely to be treated for depression compared with white-collar men. However, blue-collar men and women used depression-related healthcare services less frequently than white-collar workers. These findings underscore that blue-collar women may be uniquely susceptible to depression, and suggest that blue-collar workers may encounter barriers to care-seeking related mental illness other than their insurance status.

    View details for PubMedID 30964814

  • Gender norms and health: insights from global survey data. Lancet (London, England) Weber, A. M., Cislaghi, B., Meausoone, V., Abdalla, S., Mejía-Guevara, I., Loftus, P., Hallgren, E., Seff, I., Stark, L., Victora, C. G., Buffarini, R., Barros, A. J., Domingue, B. W., Bhushan, D., Gupta, R., Nagata, J. M., Shakya, H. B., Richter, L. M., Norris, S. A., Ngo, T. D., Chae, S., Haberland, N., McCarthy, K., Cullen, M. R., Darmstadt, G. L. 2019


    Despite global commitments to achieving gender equality and improving health and wellbeing for all, quantitative data and methods to precisely estimate the effect of gender norms on health inequities are underdeveloped. Nonetheless, existing global, national, and subnational data provide some key opportunities for testing associations between gender norms and health. Using innovative approaches to analysing proxies for gender norms, we generated evidence that gender norms impact the health of women and men across life stages, health sectors, and world regions. Six case studies showed that: (1) gender norms are complex and can intersect with other social factors to impact health over the life course; (2) early gender-normative influences by parents and peers can have multiple and differing health consequences for girls and boys; (3) non-conformity with, and transgression of, gender norms can be harmful to health, particularly when they trigger negative sanctions; and (4) the impact of gender norms on health can be context-specific, demanding care when designing effective gender-transformative health policies and programmes. Limitations of survey-based data are described that resulted in missed opportunities for investigating certain populations and domains. Recommendations for optimising and advancing research on the health impacts of gender norms are made.

    View details for DOI 10.1016/S0140-6736(19)30765-2

    View details for PubMedID 31155273

  • Cohort Profile: The American Manufacturing Cohort (AMC) study. International journal of epidemiology Elser, H., Neophytou, A. M., Tribett, E., Galusha, D., Modrek, S., Noth, E. M., Meausoone, V., Eisen, E. A., Cantley, L. F., Cullen, M. R. 2019

    View details for DOI 10.1093/ije/dyz059

    View details for PubMedID 31220278

  • Neighborhood contributions to psychological distress among Latino New York City adults Ethnicity & Health Lim, S., Meausoone, V., Norman, C., Quinlan, C., Driver, C. R. 2016