Research Progress and Prospects on the Impact of New Types of Rural Communities'Built Environment on Residents'Self-rated Health
Examining the impact of the built environment in rural and new rural communities on residents'health is crucial in China,playing a vital role in achieving rural revitalization and sustainable development goals.Unlike urban areas,rural new communities have distinct features in geography,economy,culture,and social structure.Investigating the relationship between the built environment in these communities and residents'health can fill gaps in the current literature and provide scientific support for enhancing rural public health,as well as guiding rural planning and construction.This paper conducts a literature review to analyze the research paradigm between the built environment of rural new communities and self-rated health,summarizing current findings and identifying future research directions.The research is based on 228 Chinese articles from CNKI and 200 English articles from Web of Science.A CiteSpace visualization analysis is employed to assess domestic and international research trends and hotspots in the field of rural community health.The study reveals that research on healthy rural new communities began in the 1990s and has steadily increased since then.Empirical research is relatively underrepresented in China compared to international studies.Domestic research focuses mainly on policies and theoretical frameworks,whereas international research shows a growing trend of interdisciplinary approaches.The establishment of scientific health impact models and the use of innovative quantitative methods will be critical for future research.The paper also proposes recommendations for advancing research in this field,including improving data collection,developing empirical models,and enhancing rural planning and governance strategies,with the aim of boosting public health and advancing the rural revitalization strategy.
built environmentself-rated healthCiteSpacenew types of rural communities
NETL
NSTL
万方数据
