Literature DB >> 22040392

An examination of the relationship between neighborhood income inequality, social resources, and obesity in Los Angeles county.

Eileen E S Bjornstrom1.   

Abstract

PURPOSE. This study examines whether local income inequality is associated with an increased likelihood of obesity among Los Angeles County residents and whether collective efficacy mediates the relationship. DESIGN. A cross-sectional study of 2875 adults in 65 neighborhoods that took part in wave 1 of the Los Angeles Family and Neighborhood Survey in 2000-2001. Neighborhood measures are taken from the Los Angeles Neighborhood Services and Characteristics Database and decennial census. MEASURES. Obesity is defined as a body mass index over 30. Income inequality is operationalized with the Gini coefficient. Collective efficacy is a neighborhood-level measure comprised of aggregated responses to items that capture trust, cohesion, and the willingness to intervene for the common good among residents. Controls are included at the individual level for demographics and health characteristics, and at the neighborhood level for median household income. ANALYSIS. Logistic regression models of individuals within neighborhoods. RESULTS. When neighborhood economic well-being is controlled, income inequality is associated with a significant reduction in the likelihood of obesity while also controlling for individual demographic and health-related characteristics. Collective efficacy exerts an independent and beneficial effect but does not mediate the relationship between inequality and obesity. CONCLUSION. Neighborhood social resources and economic heterogeneity are associated with a lower likelihood of obesity. It may be that economically heterogeneous neighborhoods, perhaps especially in Los Angeles County, contain characteristics that promote health.

Entities:  

Mesh:

Year:  2011        PMID: 22040392     DOI: 10.4278/ajhp.100326-QUAN-93

Source DB:  PubMed          Journal:  Am J Health Promot        ISSN: 0890-1171


  12 in total

1.  Neighborhood Environments, SNAP-Ed Eligibility, and Health Behaviors: An Analysis of the California Health Interview Survey (CHIS).

Authors:  Jonathan Cantor; Deborah A Cohen; Julia Caldwell; Tony Kuo
Journal:  J Urban Health       Date:  2020-08       Impact factor: 3.671

2.  Interaction of Neighborhood and Genetic Risk on Waist Circumference in African-American Adults: A Longitudinal Study.

Authors:  Tyler McDaniel; Dawn K Wilson; M Sandra Coulon; Allison M Sweeney; M Lee Van Horn
Journal:  Ann Behav Med       Date:  2021-07-22

3.  Tract- and county-level income inequality and individual risk of obesity in the United States.

Authors:  Jessie X Fan; Ming Wen; Lori Kowaleski-Jones
Journal:  Soc Sci Res       Date:  2015-10-03

4.  Understanding the Link between Social Organization and Crime in Rural Communities.

Authors:  Sarah M Chilenski; Amy K Syvertsen; Mark T Greenberg
Journal:  J Rural Community Dev       Date:  2015

Review 5.  Income inequality and subjective well-being: a systematic review and meta-analysis.

Authors:  Kayonda Hubert Ngamaba; Maria Panagioti; Christopher J Armitage
Journal:  Qual Life Res       Date:  2017-10-24       Impact factor: 4.147

6.  Geographic Association Between Income Inequality and Obesity Among Adults in New York State.

Authors:  Daniel Kim; Fusheng Wang; Chrisa Arcan
Journal:  Prev Chronic Dis       Date:  2018-10-11       Impact factor: 2.830

7.  The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong.

Authors:  Thayer Alshaabi; David R Dewhurst; James P Bagrow; Peter S Dodds; Christopher M Danforth
Journal:  PLoS One       Date:  2021-03-24       Impact factor: 3.240

8.  Neighborhood Environment is Associated with Overweight and Obesity, Particularly in Older Residents: Results from Cross-Sectional Study in Dutch Municipality.

Authors:  Polina Putrik; Ludovic van Amelsvoort; Nanne K De Vries; Suhreta Mujakovic; Anton E Kunst; Hans van Oers; Maria Jansen; Ijmert Kant
Journal:  J Urban Health       Date:  2015-12       Impact factor: 3.671

9.  Built Environment and Childhood Weight Status: A Multi-Level Study Using Population-Based Data in the City of Hannover, Germany.

Authors:  Yusheng Zhou; Christoph Buck; Werner Maier; Thomas von Lengerke; Ulla Walter; Maren Dreier
Journal:  Int J Environ Res Public Health       Date:  2020-04-14       Impact factor: 3.390

10.  Community-level socioeconomic inequality in the incidence of ischemic heart disease: a nationwide cohort study.

Authors:  Jun Gyo Gwon; Jimi Choi; Young Jin Han
Journal:  BMC Cardiovasc Disord       Date:  2020-02-22       Impact factor: 2.298

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.