Literature DB >> 35364114

Participant characteristics and dietary correlates of SNAP and other assistance programs among families with children from racially and ethnically diverse households.

Junia N de Brito1, Katie A Loth2, Angela Fertig3, Amanda C Trofholz2, Allan Tate4, Jerica M Berge2.   

Abstract

The objective of this study was to describe food purchasing behaviors and the home food environment across families simultaneously receiving SNAP (Supplemental Nutrition Assistance Program) and other cash and food assistance benefits, and assess how child dietary intake varied across three distinct categories of assistance (i.e., SNAP and other assistance programs, assistance programs other than SNAP, and not enrolled in any assistance program). This cross-sectional study was conducted with parents of children aged 5-9 years (N = 1033) from low-income and racially and ethnically diverse households, living in Minneapolis and Saint Paul, Minnesota, metropolitan areas. In an online survey, parents reported enrollment in seven assistance programs (SNAP, WIC [Special Supplemental Nutrition Program for Women, Infants and Children Program], free or reduced-cost school breakfast, free or reduced-cost school lunch, SSI [Supplemental Security Income Program], MFIP [Minnesota Family Investment Program], daycare assistance), food purchasing behaviors, the home food environment, and child dietary and fast-food intake. Descriptive statistics were computed to describe food purchasing behaviors and the home food environment. Multivariable linear regressions were used to evaluate the association between assistance categories and child dietary intake factors. Models were adjusted for child age, parent and child sex, race and ethnicity, household income, primary caregiver's educational attainment, employment status, and place of birth. Relative to families participating in assistance programs other than SNAP and not enrolled in any assistance program, families participating in SNAP and other assistance programs had less reliable modes of transportation to go food shopping (use 'my own car or vehicle' 57% vs. 90% and 83%, respectively), shopped less frequently during the month ('1 big trip a month and small trips in between' 35% vs. 19% and 24%, respectively], had a somewhat higher presence of energy-dense (e.g., 'French fries' 60% vs. 35% and 25%, respectively) and high-sodium food items in the home (e.g., 'canned pasta' meals 48% vs. 35% and 20%, respectively), and some aspects of children's dietary intake that were not congruent with current dietary recommendations (e.g., consumption of 'fried vegetables' 3.9 times/week [95% CI 3.4, 4.4] vs. 2.9 [2.3, 3.5] and 2.8 [2.1, 3.6], respectively). Findings could inform targeted strategies to maximize the impact of simultaneous programs' benefits on improving child dietary intake and reaching eligible households not enrolled in assistance programs.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Child; Diet; Family; Food assistance; Food insecurity

Mesh:

Year:  2022        PMID: 35364114      PMCID: PMC9058240          DOI: 10.1016/j.appet.2022.106015

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   5.016


  55 in total

1.  Food shopping practices are associated with dietary quality in low-income households.

Authors:  J Hersey; J Anliker; C Miller; R M Mullis; S Daugherty; S Das; C R Bray; P Dennee; M Sigman-Grant; A H Olivia
Journal:  J Nutr Educ       Date:  2001

2.  Measurement in epidemiology.

Authors:  D A Enarson; S M Kennedy; D L Miller
Journal:  Int J Tuberc Lung Dis       Date:  2004-10       Impact factor: 2.373

3.  Associations of food stamp participation with dietary quality and obesity in children.

Authors:  Cindy W Leung; Susan J Blumenthal; Elena E Hoffnagle; Helen H Jensen; Susan B Foerster; Marion Nestle; Lilian W Y Cheung; Dariush Mozaffarian; Walter C Willett
Journal:  Pediatrics       Date:  2013-02-25       Impact factor: 7.124

4.  More than Just Not Enough: Experiences of Food Insecurity for Latino Immigrants.

Authors:  Ashley L Munger; Tiffani D S Lloyd; Katherine E Speirs; Kate C Riera; Stephanie K Grutzmacher
Journal:  J Immigr Minor Health       Date:  2015-10

5.  Prospective associations between socio-economic status and dietary patterns in European children: the Identification and Prevention of Dietary- and Lifestyle-induced Health Effects in Children and Infants (IDEFICS) Study.

Authors:  Juan Miguel Fernández-Alvira; Claudia Börnhorst; Karin Bammann; Wencke Gwozdz; Vittorio Krogh; Antje Hebestreit; Gianvincenzo Barba; Lucia Reisch; Gabriele Eiben; Iris Iglesia; Tomas Veidebaum; Yannis A Kourides; Eva Kovacs; Inge Huybrechts; Iris Pigeot; Luis A Moreno
Journal:  Br J Nutr       Date:  2015-01-07       Impact factor: 3.718

6.  Ecological Momentary Assessment of the Breakfast, Lunch, and Dinner Family Meal Environment in Racially/Ethnically Diverse and Immigrant Households.

Authors:  Jerica M Berge; Maureen Beebe; Mireya Carmen-Martinez Smith; Allan Tate; Amanda Trofholz; Katie Loth
Journal:  J Nutr Educ Behav       Date:  2019-04-08       Impact factor: 3.045

7.  Dietary quality of the US child and adolescent population: trends from 1999 to 2012 and associations with the use of federal nutrition assistance programs.

Authors:  Xiao Gu; Katherine L Tucker
Journal:  Am J Clin Nutr       Date:  2016-11-23       Impact factor: 7.045

8.  Update of the Healthy Eating Index: HEI-2015.

Authors:  Susan M Krebs-Smith; TusaRebecca E Pannucci; Amy F Subar; Sharon I Kirkpatrick; Jennifer L Lerman; Janet A Tooze; Magdalena M Wilson; Jill Reedy
Journal:  J Acad Nutr Diet       Date:  2018-09       Impact factor: 4.910

Review 9.  Food insecurity, food assistance and weight status in US youth: new evidence from NHANES 2007-08.

Authors:  M J Kohn; J F Bell; H M G Grow; G Chan
Journal:  Pediatr Obes       Date:  2013-01-31       Impact factor: 4.000

10.  Trends in Food Insecurity in the United States from 2011-2017: Disparities by Age, Sex, Race/Ethnicity, and Income.

Authors:  Rebekah J Walker; Emma Garacci; Aprill Z Dawson; Joni S Williams; Mukoso Ozieh; Leonard E Egede
Journal:  Popul Health Manag       Date:  2020-09-17       Impact factor: 2.290

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