Do neighborhood ties matter for residents' mental health in affordable housing: Evidence from Guangzhou, China

Xiao, Yang; Miao, Siyu; Sarkar, Chinmoy; Fan, Lingyun; Li, Zhigang

doi:10.1016/j.cities.2020.102666

Cited by 34 publications

(20 citation statements)

References 69 publications

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“…For instance, a longitudinal study in Germany indicates that the change in housing satisfaction is positive, yet rather weakly associated with the change in health [34]. In contrast, a study examines the association between housing satisfaction and mental health and finds that the pathway of housing satisfaction is not significantly linked with mental health in structural equation modeling [35]. Similarly, a cross-sectional study focusing on multidimensional housing satisfaction indicates that housing satisfaction, overall, is not to be predictive of subjective psychological distress (e.g., psychoticism, depression, and anxiety) [36].…”

Section: Literature Reviewmentioning

confidence: 99%

Associations between Objective and Subjective Housing Status with Individual Mental Health in Guangzhou, China

Xie

Zhou

Zhang

2021

IJERPH

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Housing is an important social determinant of mental health. However, few studies simultaneously measure the objective housing status (i.e., housing tenure, living space, housing conditions, and housing stability) and subjective housing status (i.e., housing satisfaction) as well as examine their effects on people’s mental health (i.e., stress, anxiety, and depression). Thus, using a sample size of 1003 participants by two-stage random sampling survey in Guangzhou, China, this study applies multivariate ordinary least square regression models to comprehensively explore and compare the associations between objective and subjective housing status with mental health, and then analyze the moderating effects of subjective housing status on the relationships between objective housing status and mental health. The findings suggest that there are significant differences in people’s mental health based on different housing status. The subjective housing status can better explain the variances in mental health than objective housing status. Also, subjective housing status may partly mitigate the adverse impacts of objective housing disadvantages on some aspects of an individual’s mental health. Therefore, housing improvement policies and public health initiatives should be designed based on a comprehensive account of objective and subjective housing characteristics as well as their influences on specific aspects of mental health.

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Section: Literature Reviewmentioning

confidence: 99%

Associations between Objective and Subjective Housing Status with Individual Mental Health in Guangzhou, China

Xie

Zhou

Zhang

2021

IJERPH

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“…According to our forecast, as shown in Figure 2, in Kunming, Hefei, and Changsha cities, most of the migration originates from the province or nearby cities, which has little impact on other cities in China and is relatively simple to control. However, in Wenzhou, Guangzhou [34], Dongguan, Shenzhen, or other cities, most of the migrant population originates from different provinces that are distributed all over China. Therefore, there is a wide range of diffusion, and it has a large impact on other cities and is relatively difficult to control.…”

Section: Different Emergency Management and Control Plans For Differementioning

confidence: 99%

The Relationship between the Migrant Population’s Migration Network and the Risk of COVID-19 Transmission in China—Empirical Analysis and Prediction in Prefecture-Level Cities

Fan

Cai²,

Gai

et al. 2020

IJERPH

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The outbreak of COVID-19 in China has attracted wide attention from all over the world. The impact of COVID-19 has been significant, raising concerns regarding public health risks in China and worldwide. Migration may be the primary reason for the long-distance transmission of the disease. In this study, the following analyses were performed. (1) Using the data from the China migrant population survey in 2017 (Sample size = 432,907), a matrix of the residence-birthplace (R-B matrix) of migrant populations is constructed. The matrix was used to analyze the confirmed cases of COVID-19 at Prefecture-level Cities from February 1-15, 2020 after the outbreak in Wuhan, by calculating the probability of influx or outflow migration. We obtain a satisfactory regression analysis result (R 2 = 0.826-0.887, N = 330). (2) We use this R-B matrix to simulate an outbreak scenario in 22 immigrant cities in China, and propose risk prevention measures after the outbreak. If similar scenarios occur in the cities of Wenzhou, Guangzhou, Dongguan, or Shenzhen, the disease transmission will be wider.(3) We also use a matrix to determine that cities in Henan province, Anhui province, and Municipalities (such as Beijing, Shanghai, Guangzhou, Shenzhen, Chongqing) in China will have a high risk level of disease carriers after a similar emerging epidemic outbreak scenario due to a high influx or outflow of migrant populations.

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“…Specific procedures are essential to conduct a rigorous SLR. The process requires a protocol to distinguish a systematised review from a conventional literature review (TRANFIELD; DENYER; SMART, 2003;KITCHENHAM et al, 2009;XIAO;WATSON, 2019).…”

Section: Methodsmentioning

confidence: 99%

Critical analysis of housing condition impacts on residents' well-being and social costs

et al. 2021

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Housing is fundamental to the welfare of people and society. On the contrary, housing may impose costs on users as regards their health and quality of life. These costs are not only individual but also social. Studies on the concept of social costs (SCs) related to living conditions of social housing (SH) are scarce, and the concept needs in-depth debates. A systematic literature review (SLR) was conducted to answer the primary research question: What are SCs, and what triggers them? The research specifically aims to identify spatial design factors and construction details of SH, which may cause adverse impacts and social costs and affect households' quality of life. The SLR results are analysed and discussed concerning the major concepts of SCs and social impacts (SIs). The visual representation and organization of data contribute to detailed and in-depth conceptual discussions to understand the factors that can induce actions to improve SH design and upgrading of the existing stock. Most publications emphasise physical and mental health risks. Poor thermal conditions cause illnesses, and depression is prevalent in many housing developments putting pressure on public systems and their health services. Social unrest and family conflict can impose further costs on policing and social assistance. Housing conditions’ cause and effect are rarely detailed in the SC literature, which constitutes a research gap. New housing design, Upgrading or refurbishment initiatives should also effectively increase well-being, reduce environmental impacts, and ultimately contribute towards positive social and technological developments.

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Do neighborhood ties matter for residents' mental health in affordable housing: Evidence from Guangzhou, China

Cited by 34 publications

References 69 publications

Associations between Objective and Subjective Housing Status with Individual Mental Health in Guangzhou, China

Associations between Objective and Subjective Housing Status with Individual Mental Health in Guangzhou, China

The Relationship between the Migrant Population’s Migration Network and the Risk of COVID-19 Transmission in China—Empirical Analysis and Prediction in Prefecture-Level Cities

Critical analysis of housing condition impacts on residents' well-being and social costs

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