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Census tract based income level and lipid levels in urban pediatric primary care: a retrospective study
Enid E Martinez1,2,3, Peter W Forbes4, Sharon E O'Brien5,6
1Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. enid.martinez@childrens.harvard.edu.
Insights
Childhood lipid levels were not associated with income level in this study. Further research is needed to confirm if income is a key driver of pediatric dyslipidemia and cardiovascular disease risk.
Area of Science:
- Pediatric Health
- Cardiovascular Disease Risk Factors
- Public Health
Background:
- Lower socioeconomic status is linked to adverse lipid profiles in adults.
- Childhood dyslipidemia poses a risk for future cardiovascular disease.
- Research on socioeconomic indicators and pediatric lipid levels is limited.
Purpose of the Study:
- To investigate the relationship between income level and lipid profiles in children.
- To determine if socioeconomic status influences childhood dyslipidemia.
Main Methods:
- Retrospective chart review of 930 pediatric patients (ages 2-18) with lipid levels.
- Income level determined by geocoding census tract data.
- Multivariate analyses adjusted for BMI percentile, age, sex, race/ethnicity, and practice site.
Main Results:
- No significant variation in mean total cholesterol levels across income groups.
- Income level was not associated with LDL, HDL, or triglyceride levels.
- 730 patients met eligibility criteria for analysis.
Conclusions:
- No association found between income level and childhood lipid levels in this urban pediatric cohort.
- Income may not be a primary determinant of pediatric lipid profiles.
- Prospective studies in diverse locations are recommended for confirmation.
Background:
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.
Methods:
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.
Results:
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.
Conclusions:
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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