Literature DB >> 21947903

Small area estimates reveal high cigarette smoking prevalence in low-income cities of Los Angeles county.

Yan Cui1, Susie B Baldwin, Amy S Lightstone, Margaret Shih, Hongjian Yu, Steven Teutsch.   

Abstract

Los Angeles County has among the lowest smoking rates of large urban counties in the USA. Nevertheless, concerning disparities persist as high smoking prevalence is found among certain subgroups. We calculated adult smoking prevalence in the incorporated cities of Los Angeles County in order to identify cities with high smoking prevalence. The prevalence was estimated by a model-based small area estimation method with utilization of three data sources, including the 2007 Los Angeles County Health Survey, the 2000 Census, and the 2007 Los Angeles County Population Estimates and Projection System. Smoking prevalence varied considerably across cities, with a more than fourfold difference between the lowest (5.3%) and the highest prevalence (21.7%). Higher smoking prevalence was generally found in socioeconomically disadvantaged cities. The disparities identified here add another layer of data to our knowledge of the health inequities experienced by low-income urban communities and provide much sought data for local tobacco control. Our study also demonstrates the feasibility of providing credible local estimates of smoking prevalence using the model-based small area estimation method.

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Year:  2012        PMID: 21947903      PMCID: PMC3368049          DOI: 10.1007/s11524-011-9615-0

Source DB:  PubMed          Journal:  J Urban Health        ISSN: 1099-3460            Impact factor:   3.671


  22 in total

1.  Predicting small-area health-related behaviour: a comparison of smoking and drinking indicators.

Authors:  L Twigg; G Moon; K Jones
Journal:  Soc Sci Med       Date:  2000-04       Impact factor: 4.634

2.  Predicting small area health-related behaviour: a comparison of multilevel synthetic estimation and local survey data.

Authors:  Liz Twigg; Graham Moon
Journal:  Soc Sci Med       Date:  2002-03       Impact factor: 4.634

3.  Consequences of reducing nonresponse in a national telephone survey.

Authors:  S Keeter; C Miller; A Kohut; R M Groves; S Presser
Journal:  Public Opin Q       Date:  2000

4.  Improving the nutritional resource environment for healthy living through community-based participatory research.

Authors:  David C Sloane; Allison L Diamant; LaVonna B Lewis; Antronette K Yancey; Gwendolyn Flynn; Lori Miller Nascimento; William J McCarthy; Joyce Jones Guinyard; Michael R Cousineau
Journal:  J Gen Intern Med       Date:  2003-07       Impact factor: 5.128

5.  Relations of cotinine and carbon monoxide to self-reported smoking in a cohort of smokers and ex-smokers followed over 5 years.

Authors:  Robert P Murray; John E Connett; Joseph A Istvan; Mitchell A Nides; Shelly Rempel-Rossum
Journal:  Nicotine Tob Res       Date:  2002-08       Impact factor: 4.244

6.  Comparison of small-area analysis techniques for estimating county-level outcomes.

Authors:  Haomiao Jia; Peter Muennig; Elaine Borawski
Journal:  Am J Prev Med       Date:  2004-06       Impact factor: 5.043

7.  Tobacco control success versus demographic destiny: examining the causes of the low smoking prevalence in California.

Authors:  Kenneth E Warner; David Mendez; Omar Alshanqeety
Journal:  Am J Public Health       Date:  2008-01-02       Impact factor: 9.308

8.  Proximity of fast food restaurants to schools: do neighborhood income and type of school matter?

Authors:  Paul A Simon; David Kwan; Aida Angelescu; Margaret Shih; Jonathan E Fielding
Journal:  Prev Med       Date:  2008-03-10       Impact factor: 4.018

9.  Comparison of small-area analysis techniques for estimating prevalence by race.

Authors:  Melody S Goodman
Journal:  Prev Chronic Dis       Date:  2010-02-15       Impact factor: 2.830

10.  Small-area estimation and prioritizing communities for obesity control in Massachusetts.

Authors:  Wenjun Li; Jennifer L Kelsey; Zi Zhang; Stephenie C Lemon; Solomon Mezgebu; Cynthia Boddie-Willis; George W Reed
Journal:  Am J Public Health       Date:  2009-01-15       Impact factor: 9.308

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  7 in total

1.  Generating Health Estimates by Zip Code: A Semiparametric Small Area Estimation Approach Using the California Health Interview Survey.

Authors:  Yueyan Wang; Ninez A Ponce; Pan Wang; Jean D Opsomer; Hongjian Yu
Journal:  Am J Public Health       Date:  2015-12       Impact factor: 9.308

2.  Neighborhood social cohesion and smoking among legal and unauthorized Brazilian migrants in metropolitan Boston.

Authors:  Louisa M Holmes; Enrico A Marcelli
Journal:  J Urban Health       Date:  2014-12       Impact factor: 3.671

3.  Validation of multilevel regression and poststratification methodology for small area estimation of health indicators from the behavioral risk factor surveillance system.

Authors:  Xingyou Zhang; James B Holt; Shumei Yun; Hua Lu; Kurt J Greenlund; Janet B Croft
Journal:  Am J Epidemiol       Date:  2015-05-07       Impact factor: 4.897

4.  'In general, how do you feel today?'--self-rated health in the context of aging in India.

Authors:  Siddhivinayak Hirve
Journal:  Glob Health Action       Date:  2014-04-22       Impact factor: 2.640

5.  Measuring and monitoring progress toward health equity: local challenges for public health.

Authors:  Snehal N Shah; Elizabeth T Russo; Tara R Earl; Tony Kuo
Journal:  Prev Chronic Dis       Date:  2014-09-18       Impact factor: 2.830

6.  Comparison of Methods for Estimating Prevalence of Chronic Diseases and Health Behaviors for Small Geographic Areas: Boston Validation Study, 2013.

Authors:  Yan Wang; James B Holt; Xingyou Zhang; Hua Lu; Snehal N Shah; Daniel P Dooley; Kevin A Matthews; Janet B Croft
Journal:  Prev Chronic Dis       Date:  2017-10-19       Impact factor: 2.830

7.  Self-rated health: small area large area comparisons amongst older adults at the state, district and sub-district level in India.

Authors:  Siddhivinayak Hirve; Penelope Vounatsou; Sanjay Juvekar; Yulia Blomstedt; Stig Wall; Somnath Chatterji; Nawi Ng
Journal:  Health Place       Date:  2013-12-10       Impact factor: 4.078

  7 in total

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