Adam Drewnowski1, Colin Rehm2, Chi Kao3, Harold Goldstein4. 1. Center for Public Health Nutrition, 305 Raitt Hall #353410, University of Washington, Seattle, WA 98195-3410, USA. Electronic address: adamdrew@u.washington.edu. 2. Center for Public Health Nutrition, 305 Raitt Hall #353410, University of Washington, Seattle, WA 98195-3410, USA. 3. Institute for Health Policy Studies, University of California-San Francisco, San Francisco, CA, USA. 4. California Center for Public Health Advocacy, Davis, CA, USA.
Abstract
OBJECTIVES: The goal of the present study was to determine the association between childhood overweight and area-based socioeconomic indicators in California Assembly districts. DESIGN: A cross-sectional ecologic study. PARTICIPANTS: California public school students. MAIN EXPOSURE: Poverty and demographic data for California Assembly districts were based on the 2000 Census and obtained from the UCLA Center for Health Policy Research. OUTCOME MEASURES: Overall and race- and ethnicity-specific rates of childhood overweight for California Assembly districts (n=80) were based on the 2004 statewide Fitnessgram evaluation of California public school students. RESULTS: Poverty was significantly associated with childhood overweight in California Assembly districts. At the Assembly district scale, childhood overweight was significantly associated with percent residents below poverty for the entire population (r=0.82), and with the race/ethnicity-specific overweight prevalence for African-American (r=0.43), Latino (r=0.61) and White (r=0.54) populations. There was also evidence that childhood overweight in California Assembly districts was spatially clustered. Linear regression models confirmed that percent of residents below poverty was an independent predictor of a higher prevalence of childhood overweight for the entire population. The results of race/ethnicity-specific models confirmed that the association between area poverty and childhood overweight was not explained by differences in the risk of overweight among specific race/ethnicity groups. CONCLUSIONS: Area-based measures of socioeconomic status can be used to identify problem areas and can be used for optimal targeting of public health prevention and intervention efforts.
OBJECTIVES: The goal of the present study was to determine the association between childhood overweight and area-based socioeconomic indicators in California Assembly districts. DESIGN: A cross-sectional ecologic study. PARTICIPANTS: California public school students. MAIN EXPOSURE: Poverty and demographic data for California Assembly districts were based on the 2000 Census and obtained from the UCLA Center for Health Policy Research. OUTCOME MEASURES: Overall and race- and ethnicity-specific rates of childhood overweight for California Assembly districts (n=80) were based on the 2004 statewide Fitnessgram evaluation of California public school students. RESULTS: Poverty was significantly associated with childhood overweight in California Assembly districts. At the Assembly district scale, childhood overweight was significantly associated with percent residents below poverty for the entire population (r=0.82), and with the race/ethnicity-specific overweight prevalence for African-American (r=0.43), Latino (r=0.61) and White (r=0.54) populations. There was also evidence that childhood overweight in California Assembly districts was spatially clustered. Linear regression models confirmed that percent of residents below poverty was an independent predictor of a higher prevalence of childhood overweight for the entire population. The results of race/ethnicity-specific models confirmed that the association between area poverty and childhood overweight was not explained by differences in the risk of overweight among specific race/ethnicity groups. CONCLUSIONS: Area-based measures of socioeconomic status can be used to identify problem areas and can be used for optimal targeting of public health prevention and intervention efforts.
Authors: Patrick M O'Malley; Lloyd D Johnston; Jorge Delva; Jerald G Bachman; John E Schulenberg Journal: Am J Prev Med Date: 2007-10 Impact factor: 5.043
Authors: David S Freedman; Laura Kettel Khan; Mary K Serdula; Cynthia L Ogden; William H Dietz Journal: Obesity (Silver Spring) Date: 2006-02 Impact factor: 5.002
Authors: N Krieger; J T Chen; P D Waterman; M-J Soobader; S V Subramanian; R Carson Journal: J Epidemiol Community Health Date: 2003-03 Impact factor: 3.710
Authors: Nancy Krieger; Jarvis T Chen; Pamela D Waterman; David H Rehkopf; S V Subramanian Journal: Am J Public Health Date: 2003-10 Impact factor: 9.308
Authors: H Mollie Greves Grow; Andrea J Cook; David E Arterburn; Brian E Saelens; Adam Drewnowski; Paula Lozano Journal: Soc Sci Med Date: 2010-05-12 Impact factor: 4.634
Authors: Brisa N Sánchez; Emma V Sanchez-Vaznaugh; Ali Uscilka; Jonggyu Baek; Lindy Zhang Journal: Am J Epidemiol Date: 2012-04-17 Impact factor: 4.897
Authors: Nicole L Nollen; Tresza Hutcheson; Susan Carlson; Michael Rapoff; Kathy Goggin; Carlene Mayfield; Edward Ellerbeck Journal: Health Educ Res Date: 2012-09-04
Authors: Andrew Rundle; Catherine Richards; Michael D M Bader; Ofira Schwartz-Soicher; Karen K Lee; James Quinn; Gina S Lovasi; Christopher Weiss; Kathryn Neckerman Journal: Am J Epidemiol Date: 2012-11-06 Impact factor: 4.897
Authors: Stephen J Mooney; Lin Song; Adam Drewnowski; James Buskiewicz; Sean D Mooney; Brian E Saelens; David E Arterburn Journal: Obesity (Silver Spring) Date: 2021-10-04 Impact factor: 5.002