Literature DB >> 34097951

Supplemental nutrition assistance program 2009 expansion and cardiometabolic markers among low-income adults.

Laura J Samuel1, Sarah L Szanton2, Jennifer L Wolff3, Darrell J Gaskin4.   

Abstract

A 2009 Supplemental Nutrition Assistance Program (SNAP) policy change that expanded eligibility and increased benefit amounts has been associated with reduced food insecurity. This study tests the hypothesis that the SNAP policy change corresponds with improved stress- and nutrition-sensitive cardiometabolic markers. This study included non-pregnant participants aged 18-59 with annual family incomes ≤185% of the federal poverty guideline from the repeated cross-sectional NHANES study. Those living in SNAP eligible households (income ≤130% of the poverty guideline) were compared to those who were likely non-eligible (income 131%-≤185%). Difference-in-differences analyses compared hemoglobin A1c (%), CRP (mg/dL), total cholesterol (mg/dL), LDL (mg/dL) and waist circumference (cm) across groups before (2007-2008) and after (2009-2010) the SNAP policy change. Sampling weights were applied. Adjusting for demographic, socioeconomic, household and health factors, there were statistically significant difference-in-differences estimates for hemoglobin A1c (p = 0.003, n = 3723) and total cholesterol (p = 0.028, n = 3710). SNAP eligible adults had no difference in hemoglobin A1c after the policy change and, among those less than 40 years of age, 5 mg/dL lower total cholesterol levels whereas likely non-SNAP eligible adults had 0.14% higher hemoglobin A1c and no difference in total cholesterol after the policy change. The 2009 SNAP expansion was associated with improved nutrition-sensitive cardiometabolic markers in SNAP-eligible adults. This study found less of an upward trend in hemoglobin A1c levels for young and middle aged adults and decreased total cholesterol for young adults. These results highlight the potential role of SNAP to prevent costly chronic conditions among low-income U.S. adults.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  C-reactive protein; Cholesterol; Food assistance; Glycated hemoglobin A; Socioeconomic factors

Mesh:

Year:  2021        PMID: 34097951      PMCID: PMC8316430          DOI: 10.1016/j.ypmed.2021.106678

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.637


  28 in total

1.  Body mass index versus waist circumference as predictors of mortality in Canadian adults.

Authors:  A E Staiano; B A Reeder; S Elliott; M R Joffres; P Pahwa; S A Kirkland; G Paradis; P T Katzmarzyk
Journal:  Int J Obes (Lond)       Date:  2012-01-17       Impact factor: 5.095

2.  Treat or eat: food insecurity, cost-related medication underuse, and unmet needs.

Authors:  Seth A Berkowitz; Hilary K Seligman; Niteesh K Choudhry
Journal:  Am J Med       Date:  2014-01-17       Impact factor: 4.965

3.  Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge.

Authors:  W T Friedewald; R I Levy; D S Fredrickson
Journal:  Clin Chem       Date:  1972-06       Impact factor: 8.327

4.  Designing Difference in Difference Studies: Best Practices for Public Health Policy Research.

Authors:  Coady Wing; Kosali Simon; Ricardo A Bello-Gomez
Journal:  Annu Rev Public Health       Date:  2018-01-12       Impact factor: 21.981

5.  Associations between food insecurity, supplemental nutrition assistance program (SNAP) benefits, and body mass index among adult females.

Authors:  Stephanie B Jilcott; Elizabeth D Wall-Bassett; Sloane C Burke; Justin B Moore
Journal:  J Am Diet Assoc       Date:  2011-11

6.  Association Between Supplemental Nutrition Assistance Program Participation and Cost-Related Medication Nonadherence Among Older Adults With Diabetes.

Authors:  Jennifer A Pooler; Mithuna Srinivasan
Journal:  JAMA Intern Med       Date:  2019-01-01       Impact factor: 21.873

7.  High-sensitivity C-reactive protein predicts mortality but not stroke: the Northern Manhattan Study.

Authors:  M S V Elkind; J M Luna; Y P Moon; K M Liu; S L Spitalnik; M C Paik; R L Sacco
Journal:  Neurology       Date:  2009-10-20       Impact factor: 9.910

8.  Diabetes and glucose tolerance as risk factors for cardiovascular disease: the Framingham study.

Authors:  W B Kannel; D L McGee
Journal:  Diabetes Care       Date:  1979 Mar-Apr       Impact factor: 19.112

9.  Supplemental Nutrition Assistance Program Participation Improves Children's Health Care Use: An Analysis of the American Recovery and Reinvestment Act's Natural Experiment.

Authors:  Taryn W Morrissey; Daniel P Miller
Journal:  Acad Pediatr       Date:  2019-11-27       Impact factor: 3.107

10.  Food insecurity and metabolic control among U.S. adults with diabetes.

Authors:  Seth A Berkowitz; Travis P Baggett; Deborah J Wexler; Karen W Huskey; Christina C Wee
Journal:  Diabetes Care       Date:  2013-06-11       Impact factor: 19.112

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.