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哪些因素影响居住在大城市地区的中国人的社区幸福感?一项针对性别、年龄和户籍的量表验证与不变性检验。

What influences the community well-being of Chinese living in metropolitan areas? A scale validation and invariance test across gender, age, and hukou.

作者信息

Kang Wei, Guo Haoyi

机构信息

College of Politics and Public Administration, Tianjin Normal University, Tianjin, China.

School of Humanities and Social Sciences, Harbin Institute of Technology Shenzhen, Shenzhen, China.

出版信息

BMC Public Health. 2024 Dec 18;24(1):3442. doi: 10.1186/s12889-024-20979-8.

Abstract

BACKGROUND

Rapid socioeconomic development has congregated urban dwellers in various communities, and it remains unclear whether raising income has brought greater happiness or well-being in China. The study aims to validate the Multi-dimensional Community Well-being Scale (MCWS) in the context of Chinese metropolitan areas.

METHODS

Multistage stratified sampling from North, East, and West China yielded a total of 4786 community-dwelling adults (mean age = 54.66 years; 33.8% female). Exploratory factor analysis identified a four-factor pattern of habitability, accessibility, relation, and satisfaction. Confirmatory factor analysis (CFA) further verified the structure, and multigroup CFA tested the measurement invariance upon different genders, age groups, and hukou statuses.

RESULTS

All the subscales and the total scale (α = 0.852) had satisfactory internal consistency. In addition, significant community well-being disparities exist between communities with and without elderly care and child care services. Also, the mean scores of accessibility, relation, and satisfaction grow steadily with age, except for habitability.

CONCLUSIONS

Overall, this study filled the research gap in China by presenting a reliable and valid instrument to measure community well-being, showing gender, age, and hukou-related characteristics in community well-being and enabling cross-cultural comparisons in urban studies.

摘要

背景

快速的社会经济发展使城市居民聚集在不同社区,在中国,提高收入是否带来了更大的幸福感或福祉仍不明确。本研究旨在在中国大都市地区的背景下验证多维社区福祉量表(MCWS)。

方法

从中国北方、东部和西部进行多阶段分层抽样,共纳入4786名社区成年居民(平均年龄=54.66岁;女性占33.8%)。探索性因素分析确定了宜居性、可达性、关系和满意度四个因素模式。验证性因素分析(CFA)进一步验证了该结构,多组CFA检验了不同性别、年龄组和户口状况下的测量不变性。

结果

所有子量表和总量表(α=0.852)具有令人满意的内部一致性。此外,有和没有老年护理和儿童护理服务的社区之间存在显著的社区福祉差异。而且,除宜居性外,可达性、关系和满意度的平均得分随年龄稳步增长。

结论

总体而言,本研究通过提供一种可靠有效的工具来测量社区福祉,展示了社区福祉中与性别、年龄和户口相关的特征,并实现了城市研究中的跨文化比较,填补了中国的研究空白。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05db/11653823/bb9735ad6121/12889_2024_20979_Fig1_HTML.jpg

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