Socioeconomic Segregation of Activity Spaces in Urban Neighborhoods:
                    Does Shared Residence Mean Shared Routines?

Browning, Christopher R.; Calder, Catherine A.; Krivo, Lauren J.; Smith, Anna L.; Boettner, Bethany

doi:10.7758/rsf.2017.3.2.09

Cited by 37 publications

(19 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although the urban residents have a greater probability of encountering more NCDs relative to their rural counterparts (univariate analysis and Model 1 in Table 3 ), the differences appear to be fully explained by within-neighborhood confounding. One possibility is that those with a higher risk of multimorbidity, such as white collars that undertake greater life pressure and live a sedentary lifestyle, tend to be nested in several neighborhoods where residents share similar socioeconomic status [ 57 ]. It’s unwarranted to compare our results in Model 2 with prior studies since most of them did not consider within-neighborhood variations.…”

Section: Discussionmentioning

confidence: 99%

Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults

Zhang

2020

BMC Public Health

View full text Add to dashboard Cite

Background Neighborhood factors have gained increasing attention, while the association between the neighborhood’s characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types. Methods The present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Logistic regression models were employed to investigate the association between neighborhood-level characteristics and each NCD, respectively. Results First, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95–1.10). Living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78–0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63–0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55–0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51–0.89), digestive disease (OR = 0.82, 95% CI, 0.69–0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55–0.87), and asthma (OR = 0.67, 95% CI, 0.51–0.88). Conclusions Urban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road pavement, holds promise to alleviate the increasing disease burden of chronic diseases.

show abstract

Section: Discussionmentioning

confidence: 99%

Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults

Zhang

2020

BMC Public Health

View full text Add to dashboard Cite

show abstract

“…L.A.FANS is an ideal source of data for studying how neighborhood exposures matter for individual health and well-being in Los Angeles [e.g., 42 , 43 , 49 – 55 ]. A key advantage of the L.A.FANS is the availability of census tract identifiers based on where respondents live, in addition to several locations respondents frequent and spend time (i.e., activity spaces).…”

Section: Methodsmentioning

confidence: 99%

“…Yet, existing hypertension research conceptualizes neighborhoods as only encompassing the residential context and does not consider the amount of time spent in individuals’ nonresidential spaces. This may be particularly salient in Los Angeles where compared with White individuals, African Americans and Latinos are more likely to live in socioeconomically disadvantaged areas, as well as conduct their daily activities in disadvantaged, under-resourced, and racially isolated neighborhoods [ 42 , 43 ]. Studies also show that daily mobility is facilitated or restricted by adults’ race/ethnicity, SES, and the characteristics of their activity spaces, which further conditions the duration of exposure to home and away neighborhoods [ 44 ].…”

Section: Introductionmentioning

confidence: 99%

Neighborhood social organization exposures and racial/ethnic disparities in hypertension risk in Los Angeles

Sharp

Carpiano²

2023

PLoS ONE

View full text Add to dashboard Cite

Despite a growing evidence base documenting associations between neighborhood characteristics and the risk of developing high blood pressure, little work has established the role played by neighborhood social organization exposures in racial/ethnic disparities in hypertension risk. There is also ambiguity around prior estimates of neighborhood effects on hypertension prevalence, given the lack of attention paid to individuals’ exposures to both residential and nonresidential spaces. This study contributes to the neighborhoods and hypertension literature by using novel longitudinal data from the Los Angeles Family and Neighborhood Survey to construct exposure-weighted measures of neighborhood social organization characteristics—organizational participation and collective efficacy—and examine their associations with hypertension risk, as well as their relative contributions to racial/ethnic differences in hypertension. We also assess whether the hypertension effects of neighborhood social organization vary across our sample of Black, Latino, and White adults. Results from random effects logistic regression models indicate that adults living in neighborhoods where people are highly active in informal and formal organizations have a lower probability of being hypertensive. This protective effect of exposure to neighborhood organizational participation is also significantly stronger for Black adults than Latino and White adults, such that, at high levels of neighborhood organizational participation, the observed Black-White and Black-Latino hypertension differences are substantially reduced to nonsignificance. Nonlinear decomposition results also indicate that almost one-fifth of the Black-White hypertension gap can be explained by differential exposures to neighborhood social organization.

show abstract

“…Recognizing the significance of PM 2.5 emission exposure, researchers have devoted significant efforts to measuring disparities in the exposure of PM 2.5 emissions among social-demographic groups at the local, regional [7], and national levels [8,9]. Traditional understanding of disparate exposure, however, is largely based on empirical models and air quality data detected by environmental sensors that estimate the concentrations of air pollutants in different areas of a city [10].…”

Section: Introductionmentioning

confidence: 99%

Human Mobility Disproportionately Extends PM2.5 Emission Exposure for Low Income Populations

Chen¹,

Chien²,

Mostafavi³

2022

Preprint

View full text Add to dashboard Cite

Ambient exposure to fine particulate matters of diameters smaller than 2.5µm (PM 2.5 ) has been identified as one critical cause for respiratory disease. Disparities in exposure to PM 2.5 among income groups at individual residences are known to exist and are easy to calculate. Existing approaches for exposure assessment, however, do not capture the exposure implied by the dynamic mobility of city dwellers that accounts for a large proportion of the exposure outside homes. To overcome the challenge of gauging the exposure to PM 2.5 for city dwellers, we analyzed billions of anonymized and privacy-enhanced location-based data generated by mobile phone users in Harris County, Texas, to characterize the mobility patterns of the populations and associated exposure. We introduce the metric for exposure extent based on the time people spent at places with the air pollutant and examine the disparities in mobility-based exposure across income groups. Our results show that PM 2.5 emissions disproportionately expose low-income populations due to their mobility activities. People with higher-than-average income are exposed to lower levels of PM 2.5 emissions. These disparities in mobility-based exposure are the result of frequent visits of low-income people to the industrial sectors of urban areas with high PM 2.5 emissions, and the larger mobility scale of these people for life needs. The results inform about environmental justice and public health strategies, not only to reduce the overall PM 2.5 exposure but also to mitigate the disproportional impacts on low-income populations. The findings also suggest that an integration of extensive fine-scale population mobility and pollution emissions data can unveil new insights into inequality in air pollution exposures at the urban scale.

show abstract

Socioeconomic Segregation of Activity Spaces in Urban Neighborhoods: Does Shared Residence Mean Shared Routines?

Cited by 37 publications

References 40 publications

Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults

Neighborhood’s locality, road types, and residents’ multimorbidity: evidence from China’s middle-aged and older adults

Neighborhood social organization exposures and racial/ethnic disparities in hypertension risk in Los Angeles

Human Mobility Disproportionately Extends PM2.5 Emission Exposure for Low Income Populations

Contact Info

Product

Resources

About