Literature DB >> 27837356

Community BMI Surveillance Using an Existing Immunization Registry in San Diego, California.

Amanda R Ratigan1,2,3, Suzanne Lindsay4,5, Hector Lemus4, Christina D Chambers6, Cheryl A M Anderson6, Terry A Cronan7, Deirdre K Browner8, Wilma J Wooten8.   

Abstract

This study examines the demographic representativeness of the County of San Diego Body Mass Index (BMI) Surveillance System to determine if the BMI estimates being obtained from this convenience sample of individuals who visited their healthcare provider for outpatient services can be generalized to the general population of San Diego. Height and weight were transmitted from electronic health records systems to the San Diego Immunization Registry (SDIR). Age, gender, and race/ethnicity of this sample are compared to general population estimates by sub-regional area (SRA) (n = 41) to account for regional demographic differences. A < 10% difference (calculated as the ratio of the differences between the frequencies of a sub-group in this sample and general population estimates obtained from the U.S. Census Bureau) was used to determine representativeness. In 2011, the sample consisted of 352,924 residents aged 2-100 years. The younger age groups (2-11, 12-17 years) and the oldest age group (≥65 years) were representative in 90, 75, and 85% of SRAs, respectively. Furthermore, at least one of the five racial/ethnic groups was represented in 71% of SRAs. This BMI Surveillance System was found to demographically represent some SRAs well, suggesting that this registry-based surveillance system may be useful in estimating and monitoring neighborhood-level BMI data.

Entities:  

Keywords:  Body mass index; Electronic health records; Surveillance

Mesh:

Year:  2017        PMID: 27837356     DOI: 10.1007/s10900-016-0288-1

Source DB:  PubMed          Journal:  J Community Health        ISSN: 0094-5145


  8 in total

Review 1.  Uses of electronic health records for public health surveillance to advance public health.

Authors:  Guthrie S Birkhead; Michael Klompas; Nirav R Shah
Journal:  Annu Rev Public Health       Date:  2015-01-02       Impact factor: 21.981

2.  Food insecurity is associated with increased risk of obesity in California women.

Authors:  Elizabeth J Adams; Laurence Grummer-Strawn; Gilberto Chavez
Journal:  J Nutr       Date:  2003-04       Impact factor: 4.798

3.  A comprehensive examination of health conditions associated with obesity in older adults.

Authors:  Ruth E Patterson; Laura L Frank; Alan R Kristal; Emily White
Journal:  Am J Prev Med       Date:  2004-12       Impact factor: 5.043

4.  Fifty communities putting prevention to work: accelerating chronic disease prevention through policy, systems and environmental change.

Authors:  Rebecca Bunnell; Dara O'Neil; Robin Soler; Rebecca Payne; Wayne H Giles; Janet Collins; Ursula Bauer
Journal:  J Community Health       Date:  2012-10

5.  BMI-related errors in the measurement of obesity.

Authors:  K J Rothman
Journal:  Int J Obes (Lond)       Date:  2008-08       Impact factor: 5.095

6.  Accuracy and usefulness of BMI measures based on self-reported weight and height: findings from the NHANES & NHIS 2001-2006.

Authors:  Manfred Stommel; Charlotte A Schoenborn
Journal:  BMC Public Health       Date:  2009-11-19       Impact factor: 3.295

7.  Self-perceived vs actual and desired weight and body mass index in adult ambulatory general internal medicine patients: a cross sectional study.

Authors:  Kirsten G Mueller; Ryan T Hurt; Haitham S Abu-Lebdeh; Paul S Mueller
Journal:  BMC Obes       Date:  2014-12-12

8.  Impact of body mass index on prevalence of multimorbidity in primary care: cohort study.

Authors:  Helen P Booth; A Toby Prevost; Martin C Gulliford
Journal:  Fam Pract       Date:  2013-10-16       Impact factor: 2.267

  8 in total
  2 in total

1.  Measurement of genetic diseases as a cause of mortality in infants receiving whole genome sequencing.

Authors:  Stephen F Kingsmore; Audrey Henderson; Mallory J Owen; Michelle M Clark; Christian Hansen; David Dimmock; Christina D Chambers; Laura L Jeliffe-Pawlowski; Charlotte Hobbs
Journal:  NPJ Genom Med       Date:  2020-11-02       Impact factor: 8.617

2.  Measurement of genetic diseases as a cause of mortality in infants receiving whole genome sequencing.

Authors:  Stephen F Kingsmore; Audrey Henderson; Mallory J Owen; Michelle M Clark; Christian Hansen; David Dimmock; Christina D Chambers; Laura L Jeliffe-Pawlowski; Charlotte Hobbs
Journal:  NPJ Genom Med       Date:  2020-11-02       Impact factor: 8.617

  2 in total

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