Pathways from street network design to symptoms of depression among emerging adults in China

Cui, Xiangfen; Wen, Jing; Yang, Haoran; Helbich, Marco; Dijst, Martin; Roberts, Hannah; Tian, Senlin

doi:10.1016/j.tbs.2023.100644

Cited by 2 publications

(1 citation statement)

References 105 publications

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“…A previous study has found that higher street network densities are beneficial in reducing the incidence of cardiovascular diseases, such as obesity, heart disease, and hypertension, among residents [65]. Higher street density increases exposure to PM2.5, which is more likely to result in respiratory disease and depression [66], and more importantly, is detrimental to the physical and mental health of older people, leading to more negative emotions.…”

Section: The Important Characteristics Of Built Environment On Swb Of...mentioning

confidence: 98%

The Influence and Prediction of Built Environment on the Subjective Well-Being of the Elderly Based on Random Forest: Evidence from Guangzhou, China

Zhang,

Luo,

Xie

et al. 2023

Land

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Aging and urbanization significantly impact the physical and mental well-being of the elderly population. Empirical investigations have highlighted the contribution of the built environment to promoting elderly health. However, there is a need for further exploration of the factors within the built environment that impact the subjective well-being (SWB) of the elderly. To address this, this study selected 50 communities in Guangzhou, where 1403 elderly people were surveyed. Employing the random forest, we have identified contributing factors of the built environment affecting the SWB of the elderly. Meanwhile, we used a prediction model constructed by random forest to predict the SWB level of the elderly. The results indicated that accessibility to parks (positive emotions (PA): 0.822, positive experiences (PE): 0.235), hospitals (PA: 0.680, PE: 0.546), and supermarkets (PA: 0.237, PE: 0.617) significantly contributed to PA and PE. On the other hand, factors such as population density had a significant contribution to negative emotions (NA: 0.431) and negative experiences (NE: 0.194). Based on the prediction results, the spatial distribution of SWB among the elderly can be derived. Overall, our study can provide planning and improvement strategies for built environments that promote SWB among the elderly.

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Section: The Important Characteristics Of Built Environment On Swb Of...mentioning

confidence: 98%

The Influence and Prediction of Built Environment on the Subjective Well-Being of the Elderly Based on Random Forest: Evidence from Guangzhou, China

Zhang,

Luo,

Xie

et al. 2023

Land

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show abstract

WITHDRAWN: The effects of community built environment and physical activity of varying intensity and purpose on depressive trajectories among middle-aged and elderly: a national longitudinal study based on latent growth curve modeling

Zhang,

Huang,

Divigalpitiya

2024

Preprint

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Background The effects of physical activity (PA) with different purposes and intensities on depression are inconclusive, while it is critical to incorporate the contextual community built environment (CBE) into longitudinal reviews of the effects of PA on depression. Methods This longitudinal study included 5993 middle-aged and elderly people from the China Health and Retirement Longitudinal Study, a CBE evaluation indicator system was developed based on the community questionnaire to measure physical built environment attributes for each community. Using latent growth curve modeling to evaluate 3 waves of cohort data (2015–2020) to explore the differential effects of PA with different purposes and intensities on depression and the impact of CBE among them. Results The level of low-intensity PA for exercise and entertainment purposes showed a negative predictive effect on the initial level of depression among middle-aged and elderly people, while the level of moderate-to-vigorous-intensity PA for work purposes showed the opposite effect. In terms of depression trajectories, the initial level of PA for these two different purposes also has opposite effects on the initial level of depression. Among all CBE variables, only the infrastructure condition can significantly and negatively predict the initial level of depression (β=-0.11, p < 0.01). The infrastructure condition (β = 0.12, p < 0.001), diversity of elderly care facilities (β = 0.06, p < 0.05), and accessibility of public transport (β = 0.06, p < 0.01) can significantly and positively predict the initial level of low-intensity PA for exercise and entertainment purposes. The density of public facilities (β = 0.10, p < 0.05) significantly and positively predicts the rising changes in low-intensity PA for exercise and entertainment purposes. Conclusions The study identified the effects of different types of CBE on trajectories of depression and PA among middle-aged and elderly, expanding the insights into the "PA paradox" in the mental health field and emphasizing that the effect of PA on depression varies by purpose and intensity. The findings provide longitudinal evidence for health-promoting environmental planning and public health guidance.

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Pathways from street network design to symptoms of depression among emerging adults in China

Cited by 2 publications

References 105 publications

The Influence and Prediction of Built Environment on the Subjective Well-Being of the Elderly Based on Random Forest: Evidence from Guangzhou, China

The Influence and Prediction of Built Environment on the Subjective Well-Being of the Elderly Based on Random Forest: Evidence from Guangzhou, China

WITHDRAWN: The effects of community built environment and physical activity of varying intensity and purpose on depressive trajectories among middle-aged and elderly: a national longitudinal study based on latent growth curve modeling

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