Food insecurity and dyslipidemia in a representative population-based sample in the US

Jung Im Shin, Leonelo E. Bautista, Matthew C. Walsh, Kristen C. Malecki, F. Javier Nieto

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Objective: The association of food insecurity with dyslipidemia has not been firmly established. The main objective of this study was to assess whether food insecurity was associated with dyslipidemia. Method: A population-based sample of 1,663 adults from the 2008-2011 Survey of the Health of Wisconsin was used. Food insecurity was defined as an affirmative response to either of the questions: (1) "In the last 12. months, have you been concerned about having enough food for you or your family?" (2) "In the last 12. months, have your food choices been limited because there wasn't enough money?" High total cholesterol was defined as total cholesterol (TC) > 240 mg/dL or taking prescribed lipid-lowering medication. Low high-density lipoprotein cholesterol (HDL-C) was defined as < 40 mg/dL in men and < 50 mg/dL in women. Results: Food insecurity was not associated with high TC either among men or women. Food insecurity was associated with a higher likelihood of low HDL-C among women (adjusted odds ratio [AOR]: 2.31 {95% confidence interval [CI]: 1.42, 3.76}), but not among men. Obesity appears to be a partial mediator of the association among women (P from the Sobel test = 0.01). Conclusion: These findings suggest that food insecurity may contribute to an increased risk of low HDL-C in women.

Original languageEnglish (US)
Pages (from-to)186-190
Number of pages5
JournalPreventive Medicine
Volume77
DOIs
StatePublished - Aug 1 2015
Externally publishedYes

Keywords

  • Dyslipidemia
  • Food insecurity
  • HDL-C
  • Population-based studies
  • Survey of the Health of Wisconsin

ASJC Scopus subject areas

  • Epidemiology
  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'Food insecurity and dyslipidemia in a representative population-based sample in the US'. Together they form a unique fingerprint.

Cite this