@article {Fu2021.04.29.21256178,
	title = {American older adults in COVID-19 Times: Vulnerability types, aging attitudes and emotional responses},
	journal = {Frontiers in Public Health},
	volume = {8},
	year = {2022},
	pages = {778084},
	abstract = {Background: The coronavirus disease aroused challenges to the emotional well-being of vulnerable older adults in hard-hit areas. This study investigates different vulnerability types among American older adults and how modes of vulnerability are associated with aging attitudes and emotional responses. Methods: Using Latent Class Analysis, we investigated 2003 respondents aged over 50 from HRS. Hierarchical linear regressions with the affective profile as cluster identity were used to examine the relationship between vulnerability type and positive aging attitudes with positive and negative emotional responses. Results: We detected three vulnerability types among American older adults: the slight vulnerability (72\%), the healthcare use vulnerability (19\%), and the dual vulnerabilities (9\%). No significant difference in positive emotions was found between vulnerability types. However, more negative emotions were found among older adults with healthcare use vulnerability (B=0.746},
	keywords = {Aging attitudes, COVID-19, emotion, Vulnerability},
	doi = {10.1101/2021.04.29.21256178},
	author = {Fu, Mingqi and Guo, Jing and Chen, Xi and Zhang, Qilin}
}
@article {10831,
	title = {Types of multidimensional vulnerability and well-being among the retired in the U.S},
	journal = {Aging \& Mental HealthAging \& Mental Health},
	year = {2020},
	abstract = {Background: An extensive study investigated the risk factors for low well-being in post-retirement. Most previous studies have taken a unidimensional perspective, focusing on single factors such as financial status, physical health, and mental health.Objective: Drawing on the vulnerability framework, we first identify and describe the empirical subgroups of vulnerability among retirees in the United States across four major domains of later life: material, physical, social, and mental vulnerability. Then, we investigate the association between vulnerability profiles and well-being.Method: The sample included 3,158 retirees aged 65+ who participated in the Health and Retirement Study (HRS). Latent class analysis was utilized to identify the heterogeneous subgroups of vulnerability, and then a series of OLS regression analyses was conducted to examine the relationship between patterns of vulnerability and well-being.Results: Five vulnerability patterns were identified: material vulnerable (12\%), health \& social vulnerable (14\%), material, health \& social vulnerable (6\%), least vulnerable (34\%), and social vulnerable (35\%). The health \& social vulnerable group had the strongest negative influence on well-being among all subgroups. As the largest subgroup, the social vulnerable group?s negative influence on well-being stood out, with a stronger effect than that of material privation experienced by those in the material vulnerable group.Conclusion: By empirically identifying subgroups of differential vulnerability patterns among retirees, this study showed that post-retirement vulnerability reflects complex interactions among multiple disadvantages. Findings of this study enhance understanding of the disparities in well-being within the retired population, pointing to the possibility of targeted policy and program development.},
	keywords = {Latent Class Analysis (LCA), Retirement, Vulnerability, Well-being},
	isbn = {1360-7863},
	doi = {10.1080/13607863.2020.1768212},
	author = {Shin, Oejin and Sojung Park and Kang, Ji Young and Kwak, Minyoung}
}
