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  5. Inverse Association between Organic Food Purchase and Diabetes Mellitus in US Adults

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Article
en
2018

Inverse Association between Organic Food Purchase and Diabetes Mellitus in US Adults

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0 Files

en
2018
Vol 10 (12)
Vol. 10
DOI: 10.3390/nu10121877

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Frank B Hu
Frank B Hu

Harvard University

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Yangbo Sun
Buyun Liu
Yang Du
+4 more

Abstract

Background: The organic food market has grown rapidly worldwide in the past 15 years. However, evidence concerning the health effects of organic foods is scarce. We evaluated the cross-sectional association of organic food purchase, as a proxy of organic food consumption, with diabetes in a nationally representative population. Methods: We included 8199 participants aged ≥20 years from the National Health and Nutrition Examination Survey 2007–2008 and 2009–2010. Organic food purchase and frequency were ascertained by questionnaires. Diabetes was defined as a self-reported physician diagnosis or a hemoglobin A1c level ≥6.5% or both. We used logistic regression with sample weights to estimate the odds ratios (ORs) and 95% confidence intervals (CIs). Results: Individuals who reported purchasing organic foods were less likely to have diabetes compared to those who did not report organic food purchase. After adjustment for age, gender, race/ethnicity, family history of diabetes, socioeconomic status, and dietary and lifestyle factors, the OR of diabetes associated with organic food purchase was 0.80 (95% CI 0.68–0.93). The association remained significant after additional adjustment for BMI with OR of 0.80 (0.69–0.94). Conclusions: In a nationally representative population, frequent organic food purchase was inversely associated with diabetes prevalence in adults in the United States.

How to cite this publication

Yangbo Sun, Buyun Liu, Yang Du, Linda Snetselaar, Qi Sun, Frank B Hu, Wei Bao (2018). Inverse Association between Organic Food Purchase and Diabetes Mellitus in US Adults. , 10(12), DOI: https://doi.org/10.3390/nu10121877.

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Publication Details

Type

Article

Year

2018

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.3390/nu10121877

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