Xuan‐Mai T Nguyen
Biographic Data
| ID | 7707902 |
|---|---|
| NAME | Xuan‐Mai T Nguyen |
| GIVEN NAMES | Xuan‐Mai T |
| FAMILY NAME | Nguyen |
| SIGNATURE | NGUYEN X M T |
| AFFILIATIONS | Harvard University |
| ORCID | 0000-0001-6299-3763 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The Million Veteran Program 1990–1991 Gulf War Era Survey: An Evaluation of Veteran Response, Characteristics, and Representativeness of the Gulf War Era Veteran Population
To address gaps in understanding the pathophysiology of Gulf War Illness (GWI), the VA Million Veteran Program (MVP) developed and implemented a survey to MVP enrollees who served in the U.S. military during the 1990-1991 Persian Gulf War (GW). Eligible Veterans were invited via mail to complete a survey assessing health conditions as well as GW-specific deployment characteristics and exposures. We evaluated the representativeness of this GW-era …
Overview of Efforts to Increase Women Enrollment in the Veterans Affairs Million Veteran Program
Background: Ensuring enhanced delivery of care to women Veterans is a top Veterans Affairs (VA) priority; however, women are historically underrepresented in research that informs evidence-based health care. A primary barrier to women's participation is the inability to engage with research in person due to a number of documented challenges. The VA Million Veteran Program (MVP) is committed to increasing access for women Veterans to participate i…
Racial and Ethnic Disparities in U.S. Veteran Health Characteristics
Racial/ethnic health disparities persist among veterans despite comparable access and quality of care. We describe racial/ethnic differences in self-reported health characteristics among 437,413 men and women (mean age (SD) = 64.5 (12.6), 91% men, 79% White) within the Million Veteran Program. The Cochran-Mantel-Haenszel test and linear mixed models were used to compare age-standardized frequencies and means across race/ethnicity groups, stratifi…
Gender Differences in Demographic and Health Characteristics of the Million Veteran Program Cohort
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Gender Differences in Demographic and Health Characteristics of the Million Veteran Program Cohort
Racial and Ethnic Disparities in U.S. Veteran Health Characteristics
Racial/ethnic health disparities persist among veterans despite comparable access and quality of care. We describe racial/ethnic differences in self-reported health characteristics among 437,413 men and women (mean age (SD) = 64.5 (12.6), 91% men, 79% White) within the Million Veteran Program. The Cochran-Mantel-Haenszel test and linear mixed models were used to compare age-standardized frequencies and means across race/ethnicity groups, stratifi…
Overview of Efforts to Increase Women Enrollment in the Veterans Affairs Million Veteran Program
Background: Ensuring enhanced delivery of care to women Veterans is a top Veterans Affairs (VA) priority; however, women are historically underrepresented in research that informs evidence-based health care. A primary barrier to women's participation is the inability to engage with research in person due to a number of documented challenges. The VA Million Veteran Program (MVP) is committed to increasing access for women Veterans to participate i…
The Million Veteran Program 1990–1991 Gulf War Era Survey: An Evaluation of Veteran Response, Characteristics, and Representativeness of the Gulf War Era Veteran Population
To address gaps in understanding the pathophysiology of Gulf War Illness (GWI), the VA Million Veteran Program (MVP) developed and implemented a survey to MVP enrollees who served in the U.S. military during the 1990-1991 Persian Gulf War (GW). Eligible Veterans were invited via mail to complete a survey assessing health conditions as well as GW-specific deployment characteristics and exposures. We evaluated the representativeness of this GW-era …
Medicine (4 works) · Demography (3 works) · Environmental health (3 works) · Gerontology (3 works) · Occupational Health and Performance (3 works) · Population (3 works) · Demography (2 works) · Health care (2 works) · Mental health (2 works) · Primary Care and Health Outcomes (2 works)