Neighborhood-health links: Differences between rural-to-urban migrants and natives in Shanghai

The Residential Environment and Health and Well-Being of Chinese Migrant Populations: A Systematic Review

China's internal migrants suffer from marginalised housing conditions, poor neighbourhood environments and residential segregation, which may have significant implications on health and well-being. Echoing recent calls for interdisciplinary research on migrant health and well-being, this study examines the associations and mechanisms of the impact of the residential environment on the health and well-being of Chinese migrants. We found that most of the relevant studies supported the "healthy migration effect", but the phenomenon was only applicable to migrants' self-reported physical health rather than mental health. The subjective well-being of migrants is lower than that of urban migrants. There is a debate between the effectiveness of residential environmental improvements and the ineffectiveness of residential environmental improvements in terms of the impact of the neighbourhood environment on migrants' health and well-being. Housing conditions and the neighbourhood's physical and social environment can enhance migrants' health and well-being by strengthening place attachment and social cohesion, building localised social capital and gaining neighbourhood social support. Residential segregation on the neighbourhood scale affects the health outcomes of migrant populations through the mechanism of relative deprivation. Our studies build a vivid and comprehensive picture of research to understand migration, urban life and health and well-being.

Assessing the perceived changes in neighborhood physical and social environments and how they are associated with Chinese internal migrants' mental health

BACKGROUND

Migrants experience substantial changes in their neighborhood physical and social environments along their migration journeys, but little is known about how perceived changes in their neighborhood environment pre- and post-migration correlate with their mental health. Our aim was to examine the associations between recalled changes in the perceived neighborhood physical and social environments and migrants' mental health in the host city.

METHODS

We used cross-sectional data on 591 migrants in Shenzhen, China. We assessed their risk of mental illness using the General Health Questionnaire (GHQ). Neighborhood perceptions were collected retrospectively pre- and post-migration. We used random forests to analyze possibly non-linear associations between GHQ scores and changes in the neighborhood environment, variable importance, and for exploratory analysis of variable interactions.

RESULTS

Perceived changes in neighborhood aesthetics, safety, and green space were non-linearly associated with migrants' mental health: A decline in these characteristics was associated with poor mental health, while improvements in them were unrelated to mental health benefits. Variable importance showed that change in safety was the most influential neighborhood characteristic, although individual-level characteristics-such as self-reported physical health, personal income, and hukou (i.e., the Chinese household registration system)-appeared to be more important to explain GHQ scores and also strongly interacted with other variables. For physical health, we found different associations between changes in the neighborhood provoked by migration and mental health.

CONCLUSION

Our findings suggest that perceived degradations in the physical environment are related to poorer post-migration mental health. In addition, it seems that perceived changes in the neighborhood environment play a minor role compared to individual-level characteristics, in particular migrants' physical health condition. Replication of our findings in longitudinal settings is needed to exclude reverse causality.

From Traditional and Socialist Work-Unit Communities to Commercial Housing: The Association between Neighborhood Types and Adult Health in Urban China

The urban structure in China has been transformed profoundly through rounds of economic reforms. Over the past 60 years, various types of neighborhoods have emerged at different stages of economic and social transition. Formed and organized in different ways, these neighborhoods provide distinct economic, social, and physical environments to residents. However, little is known about the link between neighborhood types and the health of residents in urban China. Using longitudinal data from the China Labor-Force Dynamics Survey (2012-2014), we estimate multilevel regression models to predict self-rated health (SRH) while controlling for a lagged measure of SRH. Results show that living in traditional communities in old districts and work-unit compounds for state-owned enterprises is associated with better SRH among older adults (≥50 years old) compared with living in other types of neighborhoods, such as commercial-housing communities and migrant enclaves. Neighborhood types do not matter for the health of younger adults (< 50 years old). Neighborhood water quality and distance to facilities are associated with SRH for older adults but do not account for the relationships between neighborhood types and SRH.

Neighborhood environments and self-rated health in Mainland China, Japan and South Korea

Neighborhood environments are considered crucial determinants of self-rated health. Previous research has documented a positive association between the quality of neighborhood environments and health status. However, the relationship between neighborhood environments and health status in East Asian countries has received far less attention. This study examined the relationship between the three main types of neighborhood environments (built, natural, and social) and self-rated health in Mainland China, Japan, and South Korea. It also compared the neighborhood effects on self-rated health across the three countries. Our analytical sample included 3,675, 2,390, and 1,500 respondents in China, Japan, and South Korea respectively from the 2010 East Asian Social Survey. Ordinal Logistic Regression models were estimated for each country and the country differences were tested. This study found that neighborhood built, natural and social environments are positively associated with self-rated health in China, Japan and South Korea. These effects vary somewhat by country, and neighborhood social environment has the strongest association with self-rated health in Japan, followed by South Korea and then China. The similar relationship between perceived neighborhood environments and self-rated health across the three countries underscores the prevalent impact of perceived neighborhood environments on health. The greater association between social environment and self-rated health in Japan suggests the greater need of community based support system in an aging society not only for the older people, but also for the general population, especially those who are living in poor neighborhood social environment.