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Census tract based income level and lipid levels in urban pediatric primary care: a retrospective study

Overview of attention for article published in BMC Pediatrics, July 2016
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Title
Census tract based income level and lipid levels in urban pediatric primary care: a retrospective study
Published in
BMC Pediatrics, July 2016
DOI 10.1186/s12887-016-0622-x
Pubmed ID
Authors

Enid E. Martinez, Peter W. Forbes, Sharon E. O’Brien, Sarah D. de Ferranti

Abstract

Lower socioeconomic status has been associated with adverse lipid levels in adult populations. Childhood dyslipidemia is a risk factor for future cardiovascular disease. However, studies examining relationships between socioeconomic indicators and lipid levels in children are limited. To examine the relationship between income level and lipid levels in childhood. We conducted a retrospective chart review of primary care patients, ages 2 to 18 years, who had lipid levels drawn at two large pediatric practices in Boston, MA between August 01, 2008 and August 31, 2010. Income level was determined using geocoding census tract data. Analysis was performed using t-test, Anova and Spearman correlation coefficients. BMI percentile, age, sex, race/ethnicity, and site were adjusted for on multivariate analyses. Reviewing 930 charts of patients with measured lipid levels, 730 had a valid address, no previously diagnosed lipid disorder and met other study eligibility criteria. Mean total cholesterol level did not vary by income level (low 155.5 mg/dl ±26.9, moderate 153.5 mg/dl ±30.4, middle 155.3 mg/dl ±26.6 and high income 155.5 mg/dl ±27.9; p = .87) on multivariate analysis. Income level was not related to LDL, HDL, or triglycerides. In this analysis of children cared for in two urban pediatric primary practices, there was no association between income level determined by census tract and lipid levels in childhood. If confirmed in prospective investigations in other geographical locations, income level may not be a key driver of childhood lipid levels.

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Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 13%
Student > Bachelor 7 13%
Student > Doctoral Student 6 11%
Researcher 6 11%
Other 3 6%
Other 9 17%
Unknown 15 28%
Readers by discipline Count As %
Medicine and Dentistry 14 26%
Nursing and Health Professions 9 17%
Social Sciences 3 6%
Biochemistry, Genetics and Molecular Biology 1 2%
Business, Management and Accounting 1 2%
Other 5 9%
Unknown 20 38%