PDF(Pubmed)
Abstract：
UNASSIGNED: The shifting living and working conditions have profound impacts on the residents\' mental health. However, current research in this field has not remarkable investigated.
UNASSIGNED: This study used the China Labor-force Dynamic Survey (CLDS) dataset from 2018 and relied on a regression model to examine the effects of the built environment, work environment, and subjective perception on the mental health of Chinese citizens. It also considers the circumstances of both migrants and local residents.
UNASSIGNED: This study revealed significant correlations between mental health and greening space rate, road network density, commuting time, work feelings, community trust, economic satisfaction, and other factors. Additionally, the mental health of local residents was shown to be significantly affected by community security, while it shows no significance in migrants. Furthermore, a significant spatial autocorrelation was found in terms of mental health within the central and eastern regions of China.
UNASSIGNED: The findings of this study offer valuable insights that can be used to facilitate measures aimed at improving the mental health of residents and promoting the development of healthy cities.
UNASSIGNED: This study used the China Labor-force Dynamic Survey (CLDS) dataset from 2018 and relied on a regression model to examine the effects of the built environment, work environment, and subjective perception on the mental health of Chinese citizens. It also considers the circumstances of both migrants and local residents.
UNASSIGNED: This study revealed significant correlations between mental health and greening space rate, road network density, commuting time, work feelings, community trust, economic satisfaction, and other factors. Additionally, the mental health of local residents was shown to be significantly affected by community security, while it shows no significance in migrants. Furthermore, a significant spatial autocorrelation was found in terms of mental health within the central and eastern regions of China.
UNASSIGNED: The findings of this study offer valuable insights that can be used to facilitate measures aimed at improving the mental health of residents and promoting the development of healthy cities.
摘要：
■生活和工作条件的变化对居民的心理健康产生了深远的影响。然而,目前在这一领域的研究还没有显著的调查。
■这项研究使用了2018年的中国劳动力动态调查（CLDS）数据集，并依靠回归模型来检验建筑环境的影响，工作环境,以及对中国公民心理健康的主观感知。它还考虑了移民和当地居民的情况。
■这项研究揭示了心理健康和绿化空间率之间的显著相关性，路网密度，通勤时间,工作感受,社区信任,经济满意度,和其他因素。此外,当地居民的心理健康受到社区安全的严重影响，虽然这对移民没有意义。此外，在中国中部和东部地区的心理健康方面发现了显着的空间自相关。
■这项研究的发现提供了有价值的见解，可用于促进旨在改善居民心理健康和促进健康城市发展的措施。
■这项研究使用了2018年的中国劳动力动态调查（CLDS）数据集，并依靠回归模型来检验建筑环境的影响，工作环境,以及对中国公民心理健康的主观感知。它还考虑了移民和当地居民的情况。
■这项研究揭示了心理健康和绿化空间率之间的显著相关性，路网密度，通勤时间,工作感受,社区信任,经济满意度,和其他因素。此外,当地居民的心理健康受到社区安全的严重影响，虽然这对移民没有意义。此外，在中国中部和东部地区的心理健康方面发现了显着的空间自相关。
■这项研究的发现提供了有价值的见解，可用于促进旨在改善居民心理健康和促进健康城市发展的措施。
