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Gailey S, Ncube CN, Sadler RC, Bruckner TA. Neighborhood mobility and racial disparities in preterm birth: A sibling study in California. Health Place 2024; 89:103280. [PMID: 38954962 DOI: 10.1016/j.healthplace.2024.103280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 04/15/2024] [Accepted: 05/24/2024] [Indexed: 07/04/2024]
Abstract
Recent work finds that upward neighborhood mobility-defined as reductions in neighborhood socioeconomic disadvantage due to moving-may improve birth outcomes. Less work, however, explores whether changes in socioeconomic context differentially impact birth outcomes by maternal race and ethnicity. In the US, mothers of minoritized racial and ethnic identity often experience worse neighborhood conditions and pregnancy outcomes than White mothers. Using a sibling-linked dataset, we examined whether neighborhood mobility corresponds with changes in preterm birth risk among Asian (N = 130,079), Black (N = 50,149), Hispanic (N = 429,938), and White (N = 233,428) mothers who delivered multiple live births in California between 2005 and 2015. We linked residential addresses at each birth to census-derived indices of neighborhood disadvantage and defined levels of neighborhood mobility as moving-induced changes in disadvantage between pregnancies. We mapped neighborhood mobility patterns and fit conditional logistic regression models estimating the odds of preterm birth in the sibling delivered after moving, controlling for the risk of preterm birth in the sibling delivered before moving, by maternal race and ethnicity. Dot density maps highlight racialized patterns of neighborhood mobility and segregation between Black and White mothers. Regression results show that Black and, in some cases, Asian and Hispanic mothers who experienced upward mobility (moves away from neighborhood disadvantage) exhibited reduced odds of preterm birth in the second delivery. Upward mobility did not reduce the odds of preterm birth among White mothers. Findings suggest that policies and programs that enable opportunities for neighborhood mobility may reduce persistent racial and ethnic disparities in adverse birth outcomes.
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Affiliation(s)
- Samantha Gailey
- Department of Forestry, Michigan State University, East Lansing, MI, USA; Department of Public Health, Michigan State University, Flint, MI, USA.
| | - Collette N Ncube
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
| | - Richard C Sadler
- Department of Public Health, Michigan State University, Flint, MI, USA.
| | - Tim A Bruckner
- Program in Public Health and Center for Population, Inequality and Policy, University of California, Irvine, USA.
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Klompmaker JO, Mork D, Zanobetti A, Braun D, Hankey S, Hart JE, Hystad P, Jimenez MP, Laden F, Larkin A, Lin PID, Suel E, Yi L, Zhang W, Delaney SW, James P. Associations of street-view greenspace with Parkinson's disease hospitalizations in an open cohort of elderly US Medicare beneficiaries. ENVIRONMENT INTERNATIONAL 2024; 188:108739. [PMID: 38754245 PMCID: PMC11199351 DOI: 10.1016/j.envint.2024.108739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 04/20/2024] [Accepted: 05/09/2024] [Indexed: 05/18/2024]
Abstract
INTRODUCTION Protective associations of greenspace with Parkinson's disease (PD) have been observed in some studies. Visual exposure to greenspace seems to be important for some of the proposed pathways underlying these associations. However, most studies use overhead-view measures (e.g., satellite imagery, land-classification data) that do not capture street-view greenspace and cannot distinguish between specific greenspace types. We aimed to evaluate associations of street-view greenspace measures with hospitalizations with a PD diagnosis code (PD-involved hospitalization). METHODS We created an open cohort of about 45.6 million Medicare fee-for-service beneficiaries aged 65 + years living in core based statistical areas (i.e. non-rural areas) in the contiguous US (2007-2016). We obtained 350 million Google Street View images across the US and applied deep learning algorithms to identify percentages of specific greenspace features in each image, including trees, grass, and other green features (i.e., plants, flowers, fields). We assessed yearly average street-view greenspace features for each ZIP code. A Cox-equivalent re-parameterized Poisson model adjusted for potential confounders (i.e. age, race/ethnicity, socioeconomic status) was used to evaluate associations with first PD-involved hospitalization. RESULTS There were 506,899 first PD-involved hospitalizations over 254,917,192 person-years of follow-up. We found a hazard ratio (95% confidence interval) of 0.96 (0.95, 0.96) per interquartile range (IQR) increase for trees and a HR of 0.97 (0.96, 0.97) per IQR increase for other green features. In contrast, we found a HR of 1.06 (1.04, 1.07) per IQR increase for grass. Associations of trees were generally stronger for low-income (i.e. Medicaid eligible) individuals, Black individuals, and in areas with a lower median household income and a higher population density. CONCLUSION Increasing exposure to trees and other green features may reduce PD-involved hospitalizations, while increasing exposure to grass may increase hospitalizations. The protective associations may be stronger for marginalized individuals and individuals living in densely populated areas.
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Affiliation(s)
- Jochem O Klompmaker
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Daniel Mork
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Danielle Braun
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Steve Hankey
- Urban Affairs and Planning (UAP), School of Public and International Affairs, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | - Jaime E Hart
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | | | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Andrew Larkin
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Pi-I Debby Lin
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Esra Suel
- Faculty of the Built Environment, University College London, London, England
| | - Li Yi
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Wenwen Zhang
- Edward J Bloustein School of Planning and Public Policy, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Scott W Delaney
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
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Villeneuve PJ, Gill GK, Cottagiri SA, Dales R, Rainham D, Ross NA, Dogan H, Griffith LE, Raina P, Crouse DL. Does urban greenness reduce loneliness and social isolation among Canadians? A cross-sectional study of middle-aged and older adults of the Canadian Longitudinal Study on Aging (CLSA). CANADIAN JOURNAL OF PUBLIC HEALTH = REVUE CANADIENNE DE SANTE PUBLIQUE 2024; 115:282-295. [PMID: 38158519 PMCID: PMC11006650 DOI: 10.17269/s41997-023-00841-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 11/15/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVES Urban greenness has been shown to confer many health benefits including reduced risks of chronic disease, depression, anxiety, and, in a limited number of studies, loneliness. In this first Canadian study on this topic, we investigated associations between residential surrounding greenness and loneliness and social isolation among older adults. METHODS This cross-sectional analysis of the Canadian Longitudinal Study on Aging included 26,811 urban participants between 45 and 86 years of age. The Normalized Difference Vegetation Index (NDVI), a measure of greenness, was assigned to participants' residential addresses using a buffer distance of 500 m. We evaluated associations between the NDVI and (i) self-reported loneliness using the Center for Epidemiological Studies Depression Scale, (ii) whether participants reported "feeling lonely living in the local area", and (iii) social isolation. Logistic regression models were used to characterize associations between greenness and loneliness/social isolation while adjusting for individual socio-economic and health behaviours. RESULTS Overall, 10.8% of participants perceived being lonely, while 6.5% reported "feeling lonely in their local area". Furthermore, 16.2% of participants were characterized as being socially isolated. In adjusted models, we observed no statistically significant difference (odds ratio (OR) = 0.99; 95% confidence interval (CI) 0.93-1.04) in self-reported loneliness in relation to an interquartile range (IQR) increase of NDVI (0.06). However, for the same change in greenness, there was a 15% (OR = 0.85; 95% CI 0.72-0.99) reduced risk for participants who strongly agreed with "feeling lonely living in the local area". For social isolation, for an IQR increase in the NDVI, we observed a 7% (OR = 0.93; 95% CI 0.88-0.97) reduction in prevalence. CONCLUSION Our findings suggest that urban greenness plays a role in reducing loneliness and social isolation among Canadian urbanites.
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Affiliation(s)
- Paul J Villeneuve
- Department of Neuroscience, Carleton University, Ottawa, ON, Canada.
| | - Gagan K Gill
- Department of Neuroscience, Carleton University, Ottawa, ON, Canada
| | - Susanna A Cottagiri
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada
| | - Robert Dales
- Population Studies Division, Environmental Health Science & Research Bureau, Health Canada, Ottawa, ON, Canada
- University of Ottawa and Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Daniel Rainham
- Faculty of Health, School of Health and Human Performance, Dalhousie University, Halifax, NS, Canada
- Healthy Populations Institute, Dalhousie University, Halifax, NS, Canada
| | - Nancy A Ross
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada
| | - Habibe Dogan
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada
| | - Lauren E Griffith
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
- Labarge Centre for Mobility in Aging, McMaster University, Hamilton, ON, Canada
- McMaster Institute for Research on Aging, McMaster University, Hamilton, ON, Canada
| | - Parminder Raina
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
- Labarge Centre for Mobility in Aging, McMaster University, Hamilton, ON, Canada
- McMaster Institute for Research on Aging, McMaster University, Hamilton, ON, Canada
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Gailey S. Changes in Residential Greenspace and Birth Outcomes among Siblings: Differences by Maternal Race. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6790. [PMID: 37754649 PMCID: PMC10531468 DOI: 10.3390/ijerph20186790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/06/2023] [Accepted: 08/19/2023] [Indexed: 09/28/2023]
Abstract
Growing research investigates the perinatal health benefits of greenspace in a mother's prenatal environment. However, evidence of associations between residential greenspace and birth outcomes remains mixed, limiting the relevance this work holds for urban policy and greening interventions. Past research relies predominantly on cross-sectional designs that are vulnerable to residential selection bias, and rarely tests effect modification by maternal race/ethnicity, which may contribute to heterogeneous findings. This study uses a rigorous, longitudinal sibling comparison design and maternal fixed effect analyses to test whether increases in maternal exposure to residential greenspace between pregnancies precede improved birth outcomes among non-Hispanic (NH) white (n = 247,285) and Black (n = 54,995) mothers (mean age = 28 years) who had at least two consecutive live births in California between 2005 and 2015. Results show that increases in residential greenspace correspond with higher birthweight (coef. = 75.49, 95% CI: 23.48, 127.50) among Black, but not white (coef. = -0.51, 95% CI: -22.90, 21.90), infants. Additional analyses suggest that prior evidence of perinatal benefits associated with residential greenspace among white mothers may arise from residential selection; no such bias is observed for Black mothers. Taken together, these findings support urban greening initiatives in historically under-resourced neighborhoods. Efforts to evenly distribute residential greenspace may reduce persistent racial disparities in birth outcomes, an important step towards promoting health equity across the life course.
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Affiliation(s)
- Samantha Gailey
- Department of Forestry, Michigan State University, East Lansing, MI 48824, USA;
- Department of Public Health, Michigan State University, Flint, MI 48502, USA
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