China Research and Development Network, Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Health Soc Care Community. 2022 May;30(3):e812-e822. doi: 10.1111/hsc.13451. Epub 2021 Jun 6.
Despite the growing literature on loneliness, little attention has been paid to the impact of broader changes in social structure and environment on individuals' experience of loneliness. Drawing on data from the 2018 Urbanization and Quality of Life Survey (N = 3,229) conducted in 40 localities undergoing rural-urban transition in China, this study investigates how measures of urbanisation (including population density, duration of urban status, neighbourhood transition and housing type) are associated with residents' loneliness. We revised measures of the six-item De Jong Gierveld Loneliness Scale, differentiated between emotional and social loneliness, estimated multi-level mixed-effects regressions and controlled for a number of individual-level covariates. The results show that emotional loneliness and social loneliness have different patterns of association with multi-level covariates: urbanisation at county, township and neighbourhood levels is significantly associated with emotional loneliness, whereas residence in temporary housing is a clear risk factor for social loneliness. The analyses further demonstrate that the revised measures of loneliness address concerns about the original scale, offer a clearer sense of the degrees of loneliness and are strongly associated with multi-level covariates and psychological distress. In addition to showing how urbanisation leads to greater individual loneliness, our research also illustrates how to model locational parameters in analyses of individual well-being.
尽管关于孤独的文献越来越多,但很少有人关注更广泛的社会结构和环境变化对个人孤独感的影响。本研究利用中国 40 个正在经历农村-城市转型的地区 2018 年城市化和生活质量调查(N=3229)的数据,调查了城市化措施(包括人口密度、城市地位持续时间、邻里转型和住房类型)如何与居民的孤独感相关。我们修订了六项目德容格埃尔德孤独量表的测量方法,区分了情感孤独和社会孤独,估计了多层次混合效应回归,并控制了许多个体水平的协变量。结果表明,情感孤独和社会孤独与多层次协变量的关联模式不同:县级、乡镇级和邻里级的城市化与情感孤独显著相关,而居住在临时住房是社会孤独的明显危险因素。分析进一步表明,修订后的孤独量表解决了对原始量表的担忧,更清楚地反映了孤独程度,并与多层次协变量和心理困扰密切相关。除了表明城市化如何导致更大的个体孤独感外,我们的研究还说明了如何在个体幸福感分析中对位置参数进行建模。