Literature DB >> 33572629

Inedible Food Waste Linked to Diet Quality and Food Spending in the Seattle Obesity Study SOS III.

Shilpi Gupta1,2, Chelsea M Rose1,2, James Buszkiewicz1,2, Jennifer Otten1,3, Marie L Spiker1,2, Adam Drewnowski1,2.   

Abstract

Americans waste about a pound of food per day. Some of this is represented by inedible food waste at the household level. Our objective was to estimate inedible food waste in relation to diet quality and participant socio-economic status (SES). Seattle Obesity Study III participants (n = 747) completed the Fred Hutch Food Frequency Questionnaire (FFQ) and socio-demographic and food expenditure surveys. Education and geo-coded tax-parcel residential property values were measures of SES. Inedible food waste was calculated from diet records. Retail prices of FFQ component foods (n = 378) were used to estimate individual-level diet costs. The NOVA classification was used to identify ultra-processed foods. Multivariable linear regressions tested associations between inedible food waste, SES, food spending, Nutrient Rich Food (NRF9.3) and Healthy Eating Index (HEI-2015) scores. Inedible food waste was estimated at 78.7 g/d, mostly from unprocessed vegetables (32.8 g), fruit (30.5 g) and meat, poultry, and fish (15.4 g). Greater inedible food waste was associated with higher HEI-2015 and NRF9.3 scores, higher food expenditures and lower percent energy from ultra-processed foods. In multivariable models, more inedible food waste was associated with higher food expenditures, education and residential property values. Higher consumption of unprocessed foods were associated with more inedible food waste and higher diet costs. Geo-located estimates of inedible food waste can provide a proxy index of neighborhood diet quality.

Entities:  

Keywords:  HEI-2015; NRF; diet quality; education; food spending; inedible food waste; residential property values; ultra-processed foods

Year:  2021        PMID: 33572629      PMCID: PMC7912609          DOI: 10.3390/nu13020479

Source DB:  PubMed          Journal:  Nutrients        ISSN: 2072-6643            Impact factor:   5.717


  19 in total

1.  Geographic disparities in Healthy Eating Index scores (HEI-2005 and 2010) by residential property values: Findings from Seattle Obesity Study (SOS).

Authors:  Adam Drewnowski; Anju Aggarwal; Andrea Cook; Orion Stewart; Anne Vernez Moudon
Journal:  Prev Med       Date:  2015-12-03       Impact factor: 4.018

2.  Ultra-processed foods: what they are and how to identify them.

Authors:  Carlos A Monteiro; Geoffrey Cannon; Renata B Levy; Jean-Claude Moubarac; Maria Lc Louzada; Fernanda Rauber; Neha Khandpur; Gustavo Cediel; Daniela Neri; Euridice Martinez-Steele; Larissa G Baraldi; Patricia C Jaime
Journal:  Public Health Nutr       Date:  2019-02-12       Impact factor: 4.022

3.  Lost food, wasted resources: global food supply chain losses and their impacts on freshwater, cropland, and fertiliser use.

Authors:  M Kummu; H de Moel; M Porkka; S Siebert; O Varis; P J Ward
Journal:  Sci Total Environ       Date:  2012-09-29       Impact factor: 7.963

4.  Small increments in diet cost can improve compliance with the Dietary Guidelines for Americans.

Authors:  Chelsea M Rose; Shilpi Gupta; James Buszkiewicz; Linda K Ko; Jin Mou; Andrea Cook; Anne Vernez Moudon; Anju Aggarwal; Adam Drewnowski
Journal:  Soc Sci Med       Date:  2020-09-11       Impact factor: 4.634

5.  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

6.  Relationship between food waste, diet quality, and environmental sustainability.

Authors:  Zach Conrad; Meredith T Niles; Deborah A Neher; Eric D Roy; Nicole E Tichenor; Lisa Jahns
Journal:  PLoS One       Date:  2018-04-18       Impact factor: 3.240

7.  Characterizing Ultra-Processed Foods by Energy Density, Nutrient Density, and Cost.

Authors:  Shilpi Gupta; Terry Hawk; Anju Aggarwal; Adam Drewnowski
Journal:  Front Nutr       Date:  2019-05-28

8.  Daily cost of consumer food wasted, inedible, and consumed in the United States, 2001-2016.

Authors:  Zach Conrad
Journal:  Nutr J       Date:  2020-04-20       Impact factor: 3.271

9.  A cross-sectional analysis of physical activity and weight misreporting in diverse populations: The Seattle Obesity Study III.

Authors:  James Buszkiewicz; Chelsea Rose; Shilpi Gupta; Linda K Ko; Jin Mou; Anne V Moudon; Philip M Hurvitz; Andrea Cook; Anju Aggarwal; Adam Drewnowski
Journal:  Obes Sci Pract       Date:  2020-08-21

10.  A new method to visualize obesity prevalence in Seattle-King County at the census block level.

Authors:  A Drewnowski; J Buszkiewicz; A Aggarwal; A Cook; A V Moudon
Journal:  Obes Sci Pract       Date:  2017-12-28
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  1 in total

1.  Associations between neighborhood built environment, residential property values, and adult BMI change: The Seattle Obesity Study III.

Authors:  James H Buszkiewicz; Chelsea M Rose; Linda K Ko; Jin Mou; Anne Vernez Moudon; Philip M Hurvitz; Andrea J Cook; Adam Drewnowski
Journal:  SSM Popul Health       Date:  2022-07-01
  1 in total

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