Bei Wu

Faculty

Bei Wu headshot

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

1 212 992 5951

433 First Ave
New York, NY 10010
United States

Accepting PhD students

Bei Wu's additional information

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. 

PhD - Gerontology Center, University of Massachusetts, Boston
MS - Gerontology Center, University of Massachusetts, Boston
BS - Shanghai University

Gerontology
Global

Honorary Member, Sigma Theta Tau International - Honor Society of Nursing

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 America
Fellow, New York Academy of Medicine
Fellow, Association for Gerontology in Higher Education

Publications

Longitudinal relationships in the psychopathology of depressive symptoms in middle-aged and older adults in China

Zhu, Z., Qi, X., Pei, Y., Wang, J., & Wu, B. (2023). Aging and Mental Health, 27(9), 1692-1701. 10.1080/13607863.2022.2164253
Abstract
Abstract
Objectives: To develop symptom networks and examine the longitudinal relationships of depressive symptoms among middle-aged and older adults in China. Method: This study used three-wave data from the China Health and Retirement Longitudinal Study (2013 (T1), 2015 (T2), and 2018 (T3)). Depressive symptoms were measured by the 10-item Center for Epidemiologic Studies Depression Scale (CES-D). A multilevel vector autoregression model (VAR) was used to identify ten depressive symptoms dynamically interacting with each other over time. Results: A total of 3,558 participants were included in the final analysis. The strongest direct effects were ‘D10: felt fearful’ -> ‘D6: felt everything I did was an effort’ (β = 0.14). ‘D10: felt fearful’ reported the largest value of out-predictability (r = 0.064) and out-strength (r = 0.635). ‘D3: felt depressed’ reported the largest value of in-predictability (r = 0.077) and in-strength (r = 0.545). Substantial heterogeneity in the network may stem from an individual’s sex and place of residence. Conclusions: ‘Felt fearful’ was the strongest predictor compared to the other nine depressive symptoms based on node centrality. Our study suggests that, after understanding the causes of fear, strategies to reduce fear should be incorporated into multimodal interventions for middle-aged and older adults with depressive symptoms.

A longitudinal study of self-report tooth loss impacting functional status among Chinese older adults: Moderated mediation of social relationships and psychological resilience

Ma, W., Wu, B., Yu, Y., & Zhong, R. (2023). Journal of Dentistry, 139. 10.1016/j.jdent.2023.104767
Abstract
Abstract
Objectives: This study aimed to discern the longitudinal association between tooth loss and subsequent functional status, specifically investigating the moderated mediation effects of social relationships and psychological resilience. Methods: Data from the 2011, 2014, and 2018 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were analyzed, we included 2834 older adults aged 65 and over in the study. The longitudinal relationship between tooth loss and functional status was analyzed using the generalized estimating equation. Hayes’ PROCESS macro for SPSS was utilized to study the mediating and moderating effects. Results: In the fully adjusted model, the number of natural teeth at T1 was positively associated with instrumental activities of daily living (IADL) score at T3, but not activities of daily living (ADL) score. Compared with 20+ teeth, participants with complete tooth loss at T1 had a higher risk of developing ADL and IADL disability. Participants with 1–9 teeth at T1 had a 38 % risk of developing IADL disability at T3 (OR = 1.38, 95 % CI = 1.07–1.76, p = 0.012). Social relationships mediated the association between tooth loss and IADL only among participants whose psychological resilience was average (B = 0.0006, 95 % CI = 0.0001–0.0014) or high (B = 0.0013, 95 % CI = 0.0003–0.0026). Conclusion: Psychological resilience moderated the mediating effects of social relationships on the association between tooth loss and functional ability. Clinical significance: This longitudinal study contributes to elucidating parts of social-psychological mechanisms underlying tooth loss and functional disability. It suggests that by cultivating positive social relationships and enhancing psychological resilience, the adverse impacts of tooth loss on functional disability may be mitigated.

Mechanisms of Change in Cognitive Function Domains Among Older Adults in Cognitive Deterioration and Improvement Groups: Evidence From Phenotypic Network Structure

Zhu, Z., Zwerling, J. L., Qi, X., Pei, Y., Zheng, Y., & Wu, B. (2023). Journal of the American Medical Directors Association, 24(12), 2009-2016.e9. 10.1016/j.jamda.2023.08.022
Abstract
Abstract
OBJECTIVE: To investigate how cognitive function domains change in phenotypic networks in cognitive deterioration and improvement groups.DESIGN: Secondary data analysis.SETTING AND PARTICIPANTS: Respondents in the Aging, Demographics, and Memory Study (ADAMS) who were 70 years or older at the time of the data collection in 2000 or 2002.METHODS: This study used data from the ADAMS in Wave A and Wave B. We assessed 12 cognitive function domains. Latent profile transition analysis (LPTA) and the cross-lagged panel network model were used to the dynamic interactions of the 12 cognitive function domains over time in both the deterioration and improvement groups.RESULTS: A total of 252 participants were included in the final analysis. LPTA identified 5 subgroups and categorized all samples into 3 main categories: improvement group (n = 61), deterioration group (n = 54), and no change group (n = 137). "D9: psychomotor processing" showed the largest value of out-strength in the deterioration group (r = 0.941) and improvement group (r = 0.969). The strongest direct positive effect in the deterioration group was "C9: psychomotor processing" -> "C8: attention" (β = 0.39 [0.00, 1.13]). In the improvement group, the strongest direct positive effect was "C9 = psychomotor processing" -> "C7 = visual memory" (β = 0.69 [0.07, 1.30]).CONCLUSION AND IMPLICATIONS: Psychomotor processing affected other cognitive domains, and it played a crucial role in changes of cognitive function. The paths of psychomotor processing to attention and visual memory were found to be major factors in cognitive deterioration and improvement. Targeting psychomotor processing may lead to the development of more effective and precise interventions.

Mental health and cognitive function among medical students after the COVID-19 pandemic in China

Cheng, J., Liao, M., He, Z., Xiong, R., Ju, Y., Liu, J., Liu, B., Wu, B., & Zhang, Y. (2023). Frontiers in Public Health, 11. 10.3389/fpubh.2023.1233975
Abstract
Abstract
Background: Chinese people experienced a nationwide coronavirus disease 2019 (COVID-19) pandemic after the adjustment of epidemic response policies from December 2022 to January 2023. This study aims to explore the prevalence of mental and cognitive symptoms and their associated factors among medical students after the COVID-19 pandemic. Methods: A cross-sectional study was conducted between February 27th and March 8th, 2023. The symptoms of anxiety, depression, insomnia, post-traumatic stress disorder (PTSD), and cognitive function among medical students were examined using the Generalized Anxiety Disorder-7 (GAD-7), the Patient Health Questionnaire-9 (PHQ-9), the Athens Insomnia Scale (AIS), the Impact of Event Scale-6 (IES-6), and the Perceived Deficits Questionnaire-Depression-5 (PDQ-D-5). Data on demographic information was also collected. Statistical analyses were conducted to describe the prevalence and explore the associated factors of mental and cognitive symptoms. Results: Among 947 participants, the proportion of students experiencing anxiety, depression, insomnia, and PTSD symptoms was 37.8, 39.3, 28.3, and 29.5%, respectively. The self-reported COVID-19 infection rate was 72.2%. Higher grades, childhood, and current rural residence were identified as potential risk factors for mental and cognitive symptoms. Gender, age, average monthly household income, and COVID-19 diagnosis were not associated with mental and cognitive symptoms among medical students. Conclusion: Our findings revealed a high prevalence of mental and cognitive symptoms among Chinese medical students after the COVID-19 pandemic. Special attention should be paid to the mental health of higher-grade students and those residing in rural areas.

Perceived social cohesion and depressive symptoms among internal migrants in China: The mediating role of social adaptation

Qu, X., Qi, X., Wu, B., Yu, J., & Zhang, H. (2023). Frontiers in Public Health, 11. 10.3389/fpubh.2023.1096318
Abstract
Abstract
Background: Internal migrants are exposed to higher risks of depressive symptoms due to migration-related stress. It has been recognized that perceived neighborhood social cohesion has direct and indirect associations with depressive symptoms. However, the pathway from perceived social cohesion to internal migrants' depressive symptoms was less discussed. Objectives: To assess mental health disparities among internal migrants. To investigate the association between social cohesion and depressive symptoms among urban-to-urban and rural-to-urban migrants and to examine the mediating role of social adaptation. Methods: Data from the “2017 Urbanization and New Migrant Survey” was used, including 2,584 internal migrants age 18–65 from 10 cities in China. Social cohesion was measured by a six-item modified Community-level Cohesion Scale. Depressive symptoms was measured using the Center for Epidemiological Studies Depression Scale, and social adaptation was assessed by a single-item question of migrants' adaptation to local life. Multivariate linear regression models were used to examine the association between social cohesion and depressive symptoms. Baron and Kenny's mediation tests were conducted to examine the mediating role of social adaptation on the association. All analyses were adjusted using sampling weights to account for this survey's sampling design. Results: Rural-to-urban migrants were found to have more clinically significant depressive symptoms, lower perceived social cohesion, and fair or low social adaptation than urban-to-urban migrants (all p < 0.001). Being rural-to-urban migrants as compared with urban-to-urban migrants [Odds Ratio (OR) = 1.46, 95% Confidence Interval (CI) = 1.456, 1.461, p < 0.001], had lower perceived social cohesion (OR = 1.46, 95% CI = 1.458, 1.463, p < 0.001), and poorer social adaptation (OR = 1.94, 95% CI = 1.932, 1.941, p < 0.001), are associated with higher odds of having clinically significant depressive symptoms. Social adaptation partially mediated the association between social cohesion and depressive symptoms by explaining 15.39% of its effect for urban-to-urban migrants and 18.97% for rural-to-urban migrants. Conclusions: Findings from this study reveal mental health inequalities among internal migrants and demonstrate the importance of social adaption on the association between social cohesion and depressive symptoms. Social strategies and public policies are needed to build a more cohesive community that serves both local residents and internal migrants, especially rural-to-urban migrants.

Poststroke activity engagement in community dwellers: Association with illness perceptions and perceived environment

Shi, Y., Howe, T. H., Halpin, P. F., & Wu, B. (2023). Clinical Rehabilitation, 37(1), 132-142. 10.1177/02692155221111926
Abstract
Abstract
Objectives: To investigate whether individuals’ poststroke activity engagement is associated with their perceptions of stroke, as well as their perceptions of physical and social environment. Design: Cross-sectional study. Setting: Participants were recruited from eight rehabilitation settings in Beijing, China. Participants: A total of 202 dyads of community dwellers with stroke and their primary caregivers. Main Measures: Activity engagement measured by the Assessment of Life Habits; stroke individuals’ and caregivers’ illness perceptions measured by the Stroke-Specific Illness Perceptions Questionnaire – Revised; and stroke individuals’ perceived social and physical environment measured by the Social Support Survey and abbreviated Neighborhood Environment Walkability Scale. Results: A total of 202 dyads of individuals with stroke and their caregivers participated in the study with mean ages of 61.3 (8.3) and 52.6 (11.6), respectively. On average, stroke individuals scored 7.61 (1.42) on the daily activities subscale, indicating that they completed personal level activities without assistance but with some difficulty. They scored 6.21 (2.21) on the social roles subscale, suggesting that individuals completed societal level activities with assistive devices and with some difficulty. Illness perceptions correlated significantly with personal level activity engagement (change in R-squared = 0.029; p = 0.049), and perceived accessibility and heterogeneity correlated significantly with societal level activity engagement (change in R-squared = 0.025; p = 0.011). Conclusions: Poststroke activity engagement is associated not only with stroke individuals’ performance skills but also with their perceptions of stroke, and how they perceive their physical environment. The findings may assist clinicians’ decision making when developing comprehensive, targeted interventions for improving activity engagement and maximizing recovery after stroke.

Prevalence and determinants of food insecurity during the 2022 COVID-19 related lockdown in Shanghai

Liu, Y., Li, G., Qi, X., Wu, B., Latkin, C. A., Tang, W., & Hall, B. J. (2023). Global Public Health, 18(1). 10.1080/17441692.2023.2246066
Abstract
Abstract
The SARS-CoV-2 coronavirus pandemic has led to increased food insecurity levels. This cross-sectional study examines the prevalence and determinants of food insecurity during the two-month (1 April to 1 June 2022) city-wide lockdown in Shanghai. The data was collected via an online questionnaire from 3230 adult Shanghai residents during the lockdown. Food insecurity was measured using an adapted version of the Household Food Insecurity Access Scale. Nearly 70% of participants reported being exposed to food insecurity. Using multivariable logistic regressions, we examined the associations between key correlates (i.e. age, income, lockdown-related income loss, migration, employment status, social capital, preparedness, and received social support) and overall food insecurity while adjusting for ethnicity, gender, education, household size, and marital status. Results showed that compared to local Shanghai residents, migrants (i.e, permanent migrants with Hukou (OR = 2.16), permanent migrants without Hukou (OR = 2.06), temporary migrants (OR = 2.74)), and participants with less than or greather than 50% lockdown-related income loss (OR = 2.60, OR = 3.09), were associated with higher odds of overall food insecurity. Participants with greater preparedness (OR = 0.66), greater bonding social capital (OR = 0.93), and greater bridging social capital (OR = 0.94), had lower odds of overall food insecurity. Targeted interventions are needed to enhance food resilience and health equity among vulnerable populations.

Prevalence and Incidence of Mild Cognitive Impairment in Adults with Diabetes in the United States

Zheng, Y., Ma, Q., Qi, X., Zhu, Z., & Wu, B. (2023). Diabetes Research and Clinical Practice, 205, 110976. 10.1016/j.diabres.2023.110976
Abstract
Abstract
BACKGROUND: Limited evidence exists about the prevalence and incidence of mild cognitive impairment (MCI) in individuals with diabetes in the U.S. We aimed to address such knowledge gaps using a nationally representative study dataset.METHOD: We conducted a secondary analysis from the Health and Retirement Study (HRS) (1996-2018). The sample for examining the prevalence of MCI was14,988, with 4,192 (28.0%) having diabetes, while the sample for the incidence was 21,824, with 1,534 (28.0%) having diabetes.RESULTS: Participants with diabetes had a higher prevalence of MCI than those without diabetes (19.9% vs. 14.8%; odds ratio [95% confidence interval] (OR[95%CI]): 1.468 [1.337, 1.611], p<.001). The incidence of MCI in participants with/without newly diagnosed diabetes was 42.9% vs. 31.6% after a mean 10-year follow-up, with the incidence rate ratio (IRR) [95%CI] (1.314 [1.213, 1.424], p<.001). Newly diagnosed diabetes was associated with elevated risks of MCI compared with non-diabetes, with the uncontrolled hazard ratio (HR) [95%CI] (1.498 [1.405, 1.597], p<.001).CONCLUSIONS: Using a nationally representative study data in the U.S., participants with diabetes had a higher prevalence and incidence of MCI than those without diabetes. Findings show the importance of developing interventions tailored to the needs of individuals with diabetes and cognitive impairment.

The promise and peril of ChatGPT in geriatric nursing education: What We know and do not know

Qi, X., Zhu, Z., & Wu, B. (2023). Aging and Health Research, 3(2). 10.1016/j.ahr.2023.100136

Quality of care in home health agencies with and without accreditation: a cohort study

Ma, C., Dutton, H. J., & Wu, B. (2023). Home Health Care Services Quarterly, 42(1), 1-13. 10.1080/01621424.2022.2123756
Abstract
Abstract
While home health agencies (HHAs) can seek accreditation to recognize their quality of service, it is unknown whether agencies with accreditation perform better in providing care than those without accreditation. Using 5-year data from national data sources, the aims of this study were: 1) to depict characteristics of HHAs with and without accreditation; and 2) to examine the relationship between accreditation status and HHA performance on quality-of-care metrics. This study analyzed 7,697 agencies in the US and found that 1) agencies that were for-profit, urban, not-hospital-affiliated, single-branch, Medicare enrolled only, and without hospice program were more likely to have accreditation; and 2) overall, accredited agencies performed better on the three commonly used quality indicators, timely initiation of care, hospitalization, and emergency department visit, though not all the observed differences were substantial in absolute value. Our results provide unique empirical information to agencies considering seeking accreditation.