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Savin KL, Carlson JA, Patel SR, Jankowska MM, Allison MA, Sotres-Alvarez D, Sallis JF, Talavera GA, Roesch SC, Malcarne VL, Larsen B, Rutledge T, Gallo LC. Social and built neighborhood environments and sleep health: The Hispanic Community Health Study/Study of Latinos Community and Surrounding Areas and Sueño Ancillary Studies. Sleep 2024; 47:zsad260. [PMID: 37788570 PMCID: PMC10851842 DOI: 10.1093/sleep/zsad260] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/15/2023] [Indexed: 10/05/2023] Open
Abstract
STUDY OBJECTIVES To test associations between neighborhood social, built, and ambient environment characteristics and multidimensional sleep health in Hispanic/Latino adults. METHODS Data were from San Diego-based Hispanic/Latino adults mostly of Mexican heritage enrolled in the Hispanic Community Health Study/Study of Latinos (N = 342). Home addresses were geocoded to ascertain neighborhood characteristics of greenness, walkability (density of intersections, retail spaces, and residences), socioeconomic deprivation (e.g. lower income, lower education), social disorder (e.g. vacant buildings, crime), traffic density, and air pollution (PM 2.5) in the Study of Latinos Communities and Surrounding Areas Study. Sleep dimensions of regularity, satisfaction, alertness, timing, efficiency, and duration were measured by self-report or actigraphy approximately 2 years later. Multivariable regression models accounting for study design (stratification and clustering) were used to examine associations of neighborhood variables with individual sleep dimensions and a multidimensional sleep health composite score. RESULTS Neighborhood characteristics were not significantly associated with the multidimensional sleep health composite, and there were few significant associations with individual sleep dimensions. Greater levels of air pollution (B = 9.03, 95% CI: 1.16, 16.91) were associated with later sleep midpoint, while greater social disorder (B = -6.90, 95% CI: -13.12, -0.67) was associated with earlier sleep midpoint. Lower walkability was associated with more wake after sleep onset (B = -3.58, 95% CI: -7.07, -0.09). CONCLUSIONS Living in neighborhoods with lower walkability and greater air pollution was associated with worse sleep health, but otherwise findings were largely null. Future research should test these hypotheses in settings with greater variability and investigate mechanisms of these associations.
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Affiliation(s)
- Kimberly L Savin
- San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Jordan A Carlson
- Center for Children’s Health Lifestyles and Nutrition, Children’s Mercy Kansas City, Kansas City, MO, USA
- Department of Pediatrics, Children’s Mercy Kansas City and University of Missouri Kansas City, Kansas City, MO, USA
| | - Sanjay R Patel
- Center for Sleep and Cardiovascular Outcomes Research, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Matthew A Allison
- Department of Family Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Daniela Sotres-Alvarez
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James F Sallis
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Gregory A Talavera
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Scott C Roesch
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Vanessa L Malcarne
- Department of Psychology, San Diego State University, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Britta Larsen
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Thomas Rutledge
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Department of Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
| | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, CA, USA
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Xiaohelaiti X, Liu X, Li C, Wang T, Wu J, Peng B, Zhang Y. Neighborhood environment and body mass index in community-dwelling older adults in China: The mediating role of transport-related physical activity. Geriatr Nurs 2024; 55:304-310. [PMID: 38128437 DOI: 10.1016/j.gerinurse.2023.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 12/06/2023] [Accepted: 12/08/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVES To examine whether the associations of neighborhood environment and body mass index (BMI) of community-dwelling older adults aged 70 and above were mediated by transport-related physical activity (TRPA). METHODS A bootstrap method was employed to test the mediation model with multisource data from Chongqing, China. RESULTS Neighborhood walkability (effect: 0.030, 95% CI [0.001-0.160]) and shopping facility accessibility (effect: 0.002, 95 % CI [0.001 - 0.101]) exhibited positive effects on BMI indirectly through decreasing TRPA duration. Negative indirect effects of sports facility accessibility (effect: -0.004, 95 % CI [-0.112 - -0.003]) and transit accessibility (effect: -0.044, 95 % CI [-0.074 - -0.002]) on BMI were observed through increasing TRPA duration. Park accessibility showed both direct (effect: -0.242, p < 0.05) and indirect (effect: -0.036, 95 % CI [-0.061 - -0.005]) negative correlations with BMI. CONCLUSION Our findings facilitate neighborhood environment interventions regarding obesity among older adults in developing countries.
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Affiliation(s)
- Xiayidan Xiaohelaiti
- State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiaofei Liu
- Key Laboratory of Advanced Public Transportation Science, China Academy of Transportation Sciences, Ministry of Transport, Beijing 100029, China
| | - Chaoyang Li
- State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Tao Wang
- State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jiani Wu
- State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Bozhezi Peng
- State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yi Zhang
- State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China.
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