
Bei Wu
FAAN FGSA PhD
Dean's Professor in Global Health
Vice Dean, Research
Affiliated Professor, Ashman Department of Periodontology & Implant Dentistry
Co-director, NYU Aging Incubator
bei.wu@nyu.edu
1 212 992 5951
433 First Ave
New York, NY 10010
United States
Bei Wu's additional information
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Dr. Wu is Dean’s Professor in Global Health and Vice Dean for Research at the NYU Rory Meyers College of Nursing. She is an inaugural Co-Director of the NYU Aging Incubator. Prior to joining NYU, she was the Pauline Gratz Professor of Nursing at Duke University School of Nursing. Prof. Wu is an internationally-known leader in gerontology.
As a principal investigator, Prof. Wu has led numerous projects supported by federal agencies and private foundations, including the NIH and CDC. She is currently leading several NIH-funded projects including a clinical trial to improve oral health for persons
with cognitive impairment, and a large secondary data analysis to examine how the co-occurrence of diabetes and poor oral health may lead to the development of dementia and cognitive decline. She co-leads the newly funded Rutgers-NYU Center for Asian Health Promotion and Equity. Through this center, she also leads a 5-year intervention study that focuses on supporting Chinese and Korean dementia caregivers who are at increased risk for high blood pressure and diabetes due to the physical and emotional demands of caregiving. She is a director of the Research and Education Core for the NIA-funded Asian Resource Center for Minority Aging Research (RCMAR).
As a scholar, Prof. Wu is an internationally known leader in gerontology. Her scholarship has been distinguished by interdisciplinary collaborations with researchers in various disciplines, including nursing and dentistry, in the US and abroad. Her research areas cover a wide range of topics related to aging and global health, including oral health, long-term care, dementia, and caregiving. She is one of the first in the nation to study the linkages between oral health and cognitive decline in older adults. Her research has also addressed knowledge gaps in the linkages between oral health and diabetes.
Prof. Wu has devoted much of her time to training the next generation of aging and nursing scientists from dozens of academic institutions in the U.S. and abroad. She has mentored hundreds of faculty members, visiting scholars, and students from various disciplines, including nursing, gerontology, dentistry, medicine, social work, demography, public health, sociology, public policy, geography, and economics. She is successful in mentoring several dozens of early-stage faculty members in receiving competitive funding from NIH, Robert Wood Johnson Scholars, the Alzheimer’s Society (UK), National Science Foundation of China, China Medical Board, National Medical Research Council (Singapore), and many others.
Prof. Wu is a productive researcher. She has published more than 600 peer-reviewed papers, books, reports, and conference abstracts. Her extensive publications cover a wide range of topics related to aging and global health. She has delivered presentations at hundreds of conferences as an invited speaker. Her work has been widely recognized in the field. Research findings from her team have been featured by the National Institute on Aging, and in numerous media outlets, including the New York Times, CNN, BBC, U.S. News and World Report, MarketWatch, CBS News, Reuters, AARP Bulletin, China Daily, Daily Mail, South China Morning Post, and Financial Review.
Her achievement has been recognized by many international and national organizations and she is a fellow of the Gerontological Society of America, the Association for Gerontology in Higher Education, and the New York Academy of Medicine. She is an honorary member of the Honor Society of Nursing, Sigma Theta Tau International, and is the former president of the Geriatric Oral Research Group of the International Association for Dental Research. She has served on a number of NIH review panels and is a frequent reviewer for multiple international funding agencies. She was honored as the 2017 IADR Distinguished Scientist in Geriatric Oral Research. She is the recipient of the 2022 Wei Hu Inspiration Award from the China Health Policy and Management Society.
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PhD - Gerontology Center, University of Massachusetts, BostonMS - Gerontology Center, University of Massachusetts, BostonBS - Shanghai University
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GerontologyGlobal
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Honorary Member, Sigma Theta Tau International - Honor Society of Nursing
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Faculty Honors Awards
Distinguished Scientist Award for Geriatric Oral Research, International Association for Dental Research (2017)Pauline Gratz Professorship, Duke University School of Nursing (2014)J. Morita Junior Investigator Award in Geriatric Oral Health, International Association for Dental Research (2007)Fellow, Gerontological Society of AmericaFellow, New York Academy of MedicineFellow, Association for Gerontology in Higher Education -
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Publications
Genetic risk factors for periodontitis: a genome-wide association study using UK Biobank data
AbstractGao, C., Iles, M. M., Bishop, D. T., Larvin, H., Bunce, D., Wu, B., Luo, H., Nibali, L., Pavitt, S., Wu, J., & Kang, J. (2025). Clinical Oral Investigations, 29(2). 10.1007/s00784-025-06205-8AbstractObjectives: Periodontitis is linked with many health conditions, but its genetic basis is not yet understood. This genome-wide association study (GWAS) aimed to investigate the genetic variants associated with periodontitis. Materials and methods: This study utilised UK Biobank participants of European descent. Individuals were categorised as “having periodontitis” if they self-reported having ‘painful gums’, ‘bleeding gums’ or ‘loose teeth’ (n = 68,482), or as “controls” for those without these symptoms (n = 307,342). We conducted GWAS of this binary periodontitis phenotype using logistic regression models with PLINK2.0 adjusting for age, sex and the first 15 principal components to account for population stratification. Results: There were 376,611 participants (mean baseline age = 57 ± 7.9 SD) included in the GWAS, and four significant loci were identified: rs775476621 on chromosome 11 (Odds Ratio, OR[T]: 3.08, p = 1.01 × 10− 8), rs751014048 on chromosome 11 (OR[G]: 3.07, p = 1.04 × 10− 8), rs149922301 on chromosome 4 near gene RP11-61G19.1 (OR[A]: 1.18, p = 2.71 × 10− 8) and rs368467810 on chromosome 6 near gene HIST1H3L (OR[TTTA]: 0.96, p = 3.88 × 10− 8). Conclusions: Within the current limitations, such as self-reported phenotype and older age of the study population, four loci were detected for periodontitis that have not previously been linked with this condition. Further exploration of the function of these loci may contribute to improved understanding of periodontitis aetiology and subsequent drug development. Clinical relevance: These findings offer new targets for future research to investigate the genetic impact on periodontitis and aid the future understanding of periodontitis pathology and the disease’s progression.Health changes from trans-theoretical model-based education in older adults with mild cognitive impairment: A randomized controlled trial
AbstractShi, L., Wu, B., Liu, X., Ren, Y., Zhang, C., Wang, X., & Wang, L. (2025). International Journal of Nursing Studies, 162. 10.1016/j.ijnurstu.2024.104961AbstractBackground: Low awareness and misconceptions surrounding mild cognitive impairment highlight the urgent need for effective health education. Reluctance to seek intervention and poor adherence to management strategies make behavior-oriented health education essential. Objective: To assess the effectiveness and clinical significance of a trans-theoretical model-based health education program on cognitive-behavioral outcomes in older adults with mild cognitive impairment. Design: A two-arm and assessor-blinded randomized controlled trial. Settings and participants: 100 community-dwelling older adults with mild cognitive impairment in Huzhou, China. Methods: Participants were randomly assigned to a trans-theoretical model-based health education program (weekly 45–60 min sessions for 8 weeks, followed by 12 weeks of unsupervised practice) or a wait-list control group receiving standard health education. Disease knowledge, behavioral stage, and adherence to health management behaviors were assessed at baseline, 8-week, and 20-week. Effects were evaluated at the group level via generalized estimating equation and at the individual level using reliable and clinically significant change. Results: The trans-theoretical model-based health education program demonstrated significant effects over the wait-listed control. Generalized estimating equation analyses showed statistically significant effects on behavioral stage (β8-week = 1.04, 95%CI = 0.34–1.75; β20-week = 1.72, 95%CI = 0.95–2.49), disease knowledge (β8-week = 1.14, 95%CI = 0.26–2.02; β20-week = 1.78, 95%CI = 0.87–2.69), and adherence to health management behaviors (β8-week = 6.20, 95%CI = 2.03–10.37; β20-week = 10.74, 95%CI = 6.47–15.01) at both measured intervals. Additionally, global cognitive function (β8-week = 0.60, 95%CI = − 0.18–1.38; β20-week = 2.42, 95%CI = 1.64–3.20), Purdue Pegboard Test Assembly and Bimanual Tasks (β8-week = 0.16/0.38, 95%CI = − 0.21–0.53/− 0.18–0.94; β20-week = 0.96/1.80, 95%CI = 0.57–1.35/1.17–2.43) improved significantly over time. Reliable and clinically significant change analyses at 8 weeks indicated significant improvements in the intervention group: 57 % of participants improved in disease knowledge (22 % clinically significant), 90 % in adherence to health management behaviors (17 % clinically significant), and 61 % in global cognitive function (10 % clinically significant). By 20 weeks, these rates increased to 63 % (29 %), 100 % (25 %), and 78 % (27 %). However, non-significant improvements in depression symptoms and sleep quality were found at individual-level assessment. Conclusions: This study shows that the trans-theoretical model-based health education program effectively enhances cognitive-behavioral health outcomes in older adults with mild cognitive impairment, with benefits persisting for 12 weeks. Future research should further explore the potential mechanisms underlying the cognition and behavior-enhancing effects of this program. Registration number: ChiCTR1900028351.Immigrant Status, Social Support From Children, and Resilience for Older Parents’ Perceived Oral Health Among Chinese Americans
AbstractJiang, N., Wu, B., & Zhang, W. (2025). Journal of Applied Gerontology, 44(5), 747-758. 10.1177/07334648241288665AbstractBackground: Improving the oral health of older immigrants is an important public health priority in the United States, but the role of children’s support has received little attention. This study investigated the relationship between support from adult children and perceived oral health among foreign-born and U.S.-born Chinese Americans. We also examined the mediating role of resilience. Methods: Data were derived from a sample of 377 Chinese American older adults aged 55 or older in Honolulu, Hawai’i. Using a path analysis with structural equation models, we conducted a comparison of self-rated oral health and oral health problems between foreign-born and U.S.-born Chinese Americans. Results: For foreign-born participants, more emotional support from children was directly associated with better perceived oral health and indirectly linked to perceived oral health via resilience. For U.S.–born Chinese Americans, financial support from children was directly related to worse perceived oral health. Conclusions: This study provides evidence for resilience pathways linking social support from children and older immigrants’ oral health, which can help health professionals and family counselors develop culturally tailored interventions.Longitudinal association between creative arts participation with cognitive function in late life
AbstractPetrovsky, D. V., Mobarki, A. M., Sefcik, J. S., Rahemi, Z., Bacsu, J. D. R., Smith, M. L., & Wu, B. (2025). International Psychogeriatrics. 10.1016/j.inpsyc.2025.100048AbstractObjectives: Examine relationships between arts participation in high school and later life, cognition, and cognitive change among older adults in the United States. Design: Longitudinal retrospective Setting: Health and Retirement Survey (HRS) including the Life History Mail Surveys (LHMS) and Consumption and Activities Mail Survey (CAMS). Participants: A sample of HRS respondents with cognition data from Wave 3 (1996) through Wave 14 (2018). We merged LHMS and CAMS responses (2017 and 2019) about high school arts participation, eliminating respondents < 50 years of age, without cognitive data in the last three waves, or with normal cognition following previously reported dementia. Measurements: Respondents were categorized into 4 groups for musical and for visual arts): (1) lifelong learners; (2) high school learners; (3) current learners; and (4) no interest. Cognitive function was measured as a continuous summary score on a 27-point cognitive battery of items in the Langa-Weir Classification total Telephone Interview for Cognitive Status, TICS. Results: Musical arts participation at time of the survey was associated with a slower rate of cognitive decline in the entire sample (3505 participants in musical and 3507 in visual arts) and the War Babies cohort. Those who participated in musical arts at the time of the survey and while in high school experienced a slower rate of cognitive decline in the AHEAD-CODA cohort only. No relationships were found between cognition and times of visual arts participation. Conclusions: Some types of arts participation at different periods of life may benefit cognition later in life.Measurement Practice of Slow Gait Speed for Motoric Cognitive Risk Syndrome: A Systematic Review
AbstractWang, L., Su, L., Shi, L., Zhao, D., Zhang, C., & Wu, B. (2025). Journal of the American Medical Directors Association, 26(1). 10.1016/j.jamda.2024.105361AbstractObjectives: Individuals with motoric cognitive risk (MCR) syndrome have a high dementia risk. However, a knowledge gap exists in the measurement procedure for slow gait speed, which is a crucial component of MCR diagnosis. The study aimed to systematically review slow gait speed measurement practices in MCR diagnosis to identify critical constructs in gait speed measurement procedure. Design: Systematic review. Setting and Participants: Included studies were conducted in clinical and community settings, involving participants with MCR receiving gait speed measurement. Methods: A systematic search across PubMed, Medline, Embase, CINHAL (EBSCO), Web of Science, Cochrane Library, and ProQuest Dissertation from inception until January 2024 for articles with detailed MCR diagnosis. Study quality was evaluated with the Joanna Briggs Institute (JBI) Critical Appraisal Checklists and slow gait speed measurement methods were summarized through narrative synthesis. Results: From 27,600 unique entries, 50 relevant studies with 55 cohorts were identified and included in the review. Slow gait speed measurement methods in existing MCR studies showed heterogeneity in measurement tools, start/end protocols and buffer distance, walking test distance, number of tests, calculation methods, and cutoff values. Commonly, manual stopwatches and 4-meter walking test distance with a 2-meter buffer at each end at a usual pace were used, averaging 2 tests for gait speed analysis, with the need for cohort-specific slow gait cutoff values. Conclusions and Implications: The measurement practices of slow gait speed in MCR diagnosis were heterogeneous. A relatively comprehensive gait speed measurement procedure with 7 constructs was initially delineated in this study based on synthesis analysis, with the potential to improve diagnostic accuracy and consistency of MCR, although further validation is still needed.Multiple approaches to advance health equity in nursing science: Recruitment, data, and dissemination
AbstractWu, B., & Zhu, Z. (2025). Nursing Outlook, 73(1). 10.1016/j.outlook.2024.102343AbstractEnsuring equitable care and health outcomes for all populations is essential in nursing science. However, achieving health equity in nursing science necessitates a multifaceted approach to address the complex factors influencing health disparities. This paper presented the keynote address delivered at the Advanced Methods Conference hosted by the Council for Advancement of Nursing Science in 2023. We identified critical gaps in health equity within nursing science, emphasizing the need for innovative recruitment strategies, comprehensive data analysis, and targeted dissemination efforts. This paper underscores the importance of equity in artificial intelligence research, highlighting issues such as biases in machine learning models and the underrepresentation of minoritized groups. Bridging the current gaps in health equity research within nursing science requires a systematic and forward-thinking approach.Psychological distress in Asian American informal caregivers: an analysis by disaggregated ethnic groups
AbstractQi, X., Wang, K., Pei, Y., Ðoàn, L. N., Yi, S. S., & Wu, B. (2025). Ethnicity and Health, 30(2), 232-253. 10.1080/13557858.2024.2430287AbstractBackground: Despite Asians being the fastest-growing ethnic group in the US, most studies have focused on Asian Americans as an aggregate racial/ethnic group. The burden of mental health problems is increasing among caregivers due to population aging, yet little is known about the distress experienced by Asian caregivers when examined by disaggregated ethnic groups. Methods: Using 2019–2020 California Health Interview Survey data, we examined disparities in psychological well-beings between non-Hispanic White and Asian American adult caregivers, with an emphasis on understudied Asian ethnic groups. Psychological distress was measured using the Kessler 6 scale, with scores ≥6 indicating mental distress and ≥13 indicating serious mental illness. Multivariable logistic regression adjusted for socio-demographics, physical health, caregiving relationship, intensity of care, and care recipients’ characteristics. Results: The study included 8,722 caregivers (mean age, 58.7 years; 61.3% women; 14.1% Asian [379 Chinese, 260 Filipino, 167 Japanese, 138 South Asian, 105 Korean, 101 Vietnamese, 78 other Asian], 85.9% White). Overall, 26.8% had mental distress, and 8.5% had serious mental illness. Compared to White caregivers, Korean American caregivers had higher odds of mental distress (Odds Ratio [OR], 2.37; 95% CI, 1.47–3.82) and serious mental illness (OR, 2.15; 95% CI, 1.17–3.92), while Chinese (OR, 0.72; 95% CI, 0.55–0.95) and Japanese (OR, 0.67; 95% CI, 0.45–0.99) American caregivers had lower odds of mental distress. Korean American caregivers had the highest prevalence of mental distress (43.1%) and serious mental illness (15.3%), compared with White and other Asian American caregivers. Conclusion: Disaggregating data reveals significant mental health disparities among ethnic subgroups of Asian American caregivers. Tailored resources should address the distinct needs of ethnic subgroups of Asian American caregivers, considering language barriers, acculturation, and cultural norms that may exacerbate psychological distress.Racial and Ethnic Disparities in Accessing High-Quality Home Health Care among Older Adults with and Without Dementia
AbstractMa, C., Wu, B., & Brody, A. A. (2025). Journal of the American Medical Directors Association, 26(5). 10.1016/j.jamda.2025.105539AbstractObjectives: Home health care (HHC) plays a pivotal role in serving millions of US adults aging in place. Although the HHC population is growing rapidly in both size and diversity, driven by an aging US population and a changing demographic profile, there are increasing concerns of equity in HHC, particularly regarding how vulnerable populations are affected under current HHC practices. The purpose of this study was to examine the variations in accessing high-quality HHC in racial and ethnic minority groups and persons living with dementia. Design: Cross-sectional, secondary analysis. Setting and Participants: Older adults who received HHC in 2016 from agencies with a star rating of overall care quality from the Home Health Compare program. Methods: Start of care data from the 2016 HHC Outcome and Assessment Information Set was linked to Master Beneficiary Summary File, Home Health Compare, and Provider of Services file to address the aim. Multinomial regressions were used in analysis when risk-adjusting for individual and agency characteristics. Results: Our risk-adjusted estimates, based on data from 574,682 older adults aged ≥65 years served by 8634 HHC agencies nationwide (2290 offering high-quality care, 4023 providing moderate-quality care, and 2321 delivering low-quality care), revealed significant disparities. Non-Hispanic Blacks (relative risk ratio, 0.62; 95% CI, 0.61–0.64) and Hispanics (relative risk ratio, 0.72; 95% CI, 0.70–0.74) were significantly less likely to receive care from high-quality agencies. Additionally, having dementia exacerbated disparities in accessing high-quality HHC between racial and ethnic minorities and white Americans. Conclusions and Implications: Racial and ethnic minority individuals face significant disadvantages in accessing high-quality HHC, with persons living with dementia from these groups being the most disadvantaged. Further research is warranted to investigate the referral and admission processes for HHC. Our findings highlight the need for actions from clinicians and policymakers to tackle potential biases in the aforementioned care processes.Racial and ethnic disparities in the burden of non-obese type 2 diabetes using different anthropometric measurements
AbstractSui, J., Wu, B., Zheng, Y., Mo, Z., Dong, Q., Ðoàn, L. N., Yi, S. S., & Qi, X. (2025). Obesity Medicine, 53. 10.1016/j.obmed.2024.100573AbstractAIMS: Compare racial/ethnic disparities in the prevalence of non-obese type 2 diabetes (T2D) and the proportion of non-obese individuals among T2D patients.METHODS: This cross-sectional study used ICD-9/10 codes to ascertain T2D. Participants were classified as non-obese by BMI (<25 kg/m2 for normal weight; <23 kg/m2 for Asian Americans), waist circumference (<102 cm for males, <88 cm for females), and waist-to-hip ratio (<0.9 for males, <0.85 for females). The statistical analysis used marginal standardization of predicted probabilities from multivariable logistic regression to calculate the prevalence.KEY RESULTS: Among 276,736 participants (mean age 51.7, 61.2% female), non-obese T2D prevalence varied: 6.85% (BMI), 4.17% (waist circumference), 3.63% (waist-to-hip ratio). Asian participants had the highest prevalence of normal-weight T2D (2.70% vs. 1.92% in White, OR 1.44, 95% CI: 1.22-1.69) and non-obese T2D by waist circumference (8.04% vs. 3.36%, OR 2.61, 95% CI: 2.35-2.89). Black participants had the highest prevalence using waist-to-hip ratio (5.37% vs. 2.91%, OR 1.91, 95% CI: 1.80-2.03).CONCLUSION: Asian Americans showed higher non-obese T2D prevalence by BMI and waist circumference, while Black adults had higher prevalence by waist-to-hip ratio, suggesting different fat distribution patterns.Reflections on The Lancet's Commission on dementia prevention, intervention, and care
Qi, X., Luo, H., & Wu, B. (2025, February 22). In The Lancet (Vols. 405, Issues 10479, p. 625). 10.1016/S0140-6736(25)00149-7 -
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