title: Modeling satisfaction amongst the elderly in different Chinese urban neighborhoods.
abstract: Rapidly aging populations constitute a critical issue for researchers and policymakers across the world; the challenges of a shifting demographic structure are particularly pertinent in the case of China. Population control strategies implemented in China in the late 1970s have substantially changed the social and demographic structure of Chinese cities and the traditional role of families in caring for elderly people. To meet the growing needs of elderly residents "aging in place," age-friendly environments and new types of senior services are required and encouraged. This research examines the satisfaction of seniors in relation to the elderly services and living environments available to them, through empirical studies of six types of neighborhoods in Beijing. Using structural equation modeling (SEM), a satisfaction model under the Person-Environment Fit (P-E Fit) model framework was developed. This model considered the senior respondent's health status, economic attributes, family and social support networks, and neighborhood living environments. Social support was found to be the primary factor affecting satisfaction amongst the urban elderly in Beijing. The research also highlights the need to differentiate between different types of neighborhoods, which can differ significantly in terms of the socio-economic attributes (i.e., family structure, income, and education) of their senior residents. As such, based on the path coefficients revealed by different structural equation models of various neighborhoods, four types of neighborhoods were identified: in Type 1 neighborhoods, the neighborhood environment and the senior services provided by communities were primary factors in elderly satisfaction; in Type 2 neighborhoods, the satisfaction of inhabitants was strongly influenced by personal attributes such as health and income; Type 3 neighborhoods were residence of low-income people where the level of social support was the foremost factor; and in Type 4, social support and the environment were both essential.
authors.affiliation: University of Chinese Academy of Sciences, China.
authors.forename: Bingqiu
authors.initials: B
authors.lastname: Yan
authors.affiliation: Chinese Academy of Sciences, China. Electronic address: gaoxl@igsnrr.ac.cn.
authors.forename: Xiaolu
authors.initials: X
authors.lastname: Gao
authors.affiliation: Arizona State University, United States.
authors.forename: Michael
authors.initials: M
authors.lastname: Lyon
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000523:psychology*; D002681:China; D005260:Female; D006304:Health Status; D006801:Humans; D008297:Male; D008875:Middle Aged; D010549:Personal Satisfaction; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012944:Social Support; D012959:Socioeconomic Factors; D014505:Urban Population / Q000706:statistics & numerical data*
keywords: Aging; Beijing; Living environment; Neighborhood differentiation; Senior satisfaction; Senior service; Social support