Yifan Lou

Assistant Professor

Virginia Commonwealth University
Country flagUnited States

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About

Dr. Yifan Lou is an Assistant Professor at Virginia Commonwealth University in the United States. His research focuses on mental health, caregiving, and social participation among older adults, with recent publications addressing intersectional discrimination, racial and ethnic disparities, and end-of-life care experiences. He aims to understand the complex dynamics of caregiving and mental health in later life, particularly regarding diverse populations.

Articles (10)

Year:

2025

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2025

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2025

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2025

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2024

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2024

Year:

2024

This study examined the effect of the COVID-19 pandemic on information and communications technology (ICT) use and the typology of ICT users among older Chinese and Korean Americans. Survey data were collected from 513 Chinese and Korean older adults in New York City. We measured ICT use for social contact, grocery shopping, health care, and COVID-19 information seeking. In the study sample, ICT use for online shopping with others, contact with doctors, and telehealth significantly increased during the pandemic. Three groups of ICT users were identified: limited, users, expanding users, and active users. Older Chinese Americans and those with better English proficiency were more likely to be expanding and active ICT users. The patterns and heterogeneity of ICT use among older Asian Americans are multifaceted and dynamic beyond dichotomy and stability. The findings of this study offer helpful guidance for future development of ICT-based interventions for older Asian Americans.

Year:

2023

Year:

2023

Background and Objectives Knowledge of one’s medical diagnosis is critical for end-of-life decision making. However, a patient’s right to know their diagnosis is neither guaranteed nor protected by law in China. Doctors typically inform family members of the patient’s illness diagnosis and prognosis and let the family decide whether to disclose this information to the patient. This study examines midlife and older Chinese adults’ preferences for disclosure of their own and significant others’ diagnoses, and the sociodemographic, economic, and cultural factors associated with these preferences. Research Design and Methods We surveyed 571 adults ages 50+ in Shanghai from 2021 to 2022. Our outcome measures are preferences for diagnosis disclosures, including whether and to whom diagnoses should be disclosed. We characterize preference types using latent class analysis, and estimate multinomial logistic regression to identify the covariates associated with each preference type. Results Three latent classes were identified. The transparent group (34%) believed patients, whether self or a significant other, should be informed of their own diagnoses. The contradictory group (50%) held conflicting attitudes; they preferred to know their own diagnosis but preferred that significant others not be informed of their diagnoses. The avoidant group (16%) preferred not to know their own diagnosis and similarly preferred not to disclose significant others’ diagnoses to them. Familism attitudes were positively associated with holding contradictory views. Experiences with hospitalization and medical decision making for family members were associated with holding transparent views. Discussion and Implications We discuss the importance of illness disclosure for honoring patients’ autonomous decision making.

Year:

2022

Collaborators (4)

Yi Wang

Assistant Professor

-

UNITED STATES
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Namrata Mukherjee

Assistant Professor

Boise State University

UNITED STATES
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Deborah Carr

A&S Distinguished Professor of Sociology

Boston University

UNITED STATES
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Ethan Siu Leung Cheung

University of Utah

UNITED STATES
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