Scholarlink

<p>Urbanization intensifies aging challenges, positioning cities to address non-communicable diseases like diabetes through age-friendly planning, policies, and health interventions. This study used data from the 2018–2020 CHARLS, along with city characteristics from the China City Statistical Yearbook and Google Earth Engine. Principal component analysis and the entropy method were employed to construct a comprehensive picture of age-friendliness, encompassing five domains: health service and social security, housing conditions, community atmosphere, economic development, and ecological environment. Multilevel logistic regression models were then applied to analyze the relationship between age-friendly environments and the incidence of diabetes among older adults in China. The results indicate that a higher level of community atmosphere was associated with a lower risk of developing diagnosed diabetes within two years. The findings highlight the need to enhance home and community services, integrate smart technologies, and diversify elderly care solutions to mitigate diabetes risk among older adults.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Age-Friendly Cities and the Incidence of Diagnosed Diabetes in China: Evidence from the 2018–2020 China Health and Retirement Longitudinal Studies

  • 期刊论文

  • 发表日期：

    2026年2月18日

查看全文
  • Zhixin Feng,
  • Hongyu Chen,
  • Aliya Agang,
  • Jing Xie

摘要

Urbanization intensifies aging challenges, positioning cities to address non-communicable diseases like diabetes through age-friendly planning, policies, and health interventions. This study used data from the 2018–2020 CHARLS, along with city characteristics from the China City Statistical Yearbook and Google Earth Engine. Principal component analysis and the entropy method were employed to construct a comprehensive picture of age-friendliness, encompassing five domains: health service and social security, housing conditions, community atmosphere, economic development, and ecological environment. Multilevel logistic regression models were then applied to analyze the relationship between age-friendly environments and the incidence of diabetes among older adults in China. The results indicate that a higher level of community atmosphere was associated with a lower risk of developing diagnosed diabetes within two years. The findings highlight the need to enhance home and community services, integrate smart technologies, and diversify elderly care solutions to mitigate diabetes risk among older adults.