| Literature DB >> 35682096 |
Aviva A Musicus1, Ghislaine C Amsler Challamel2, Robert McKenzie3, Eric B Rimm4,5, Stacy A Blondin4.
Abstract
Identifying institutional capacity to reduce and reallocate food waste is important to reduce both greenhouse gas emissions and food insecurity. The goal of this study was to examine food waste concern, reduction and repurposing strategies, and perceived barriers to these strategies among U.S. university foodservice representatives. We surveyed 57 U.S. university foodservice representatives about foodservice operations, campus food insecurity, food waste reduction and repurposing activities, and obstacles to composting and donating food waste. Data were collected September 2019-February 2020. Roughly three-quarters of respondents tracked campus food waste, reported that food waste reduction was a high/very high priority, and reported concern about campus food insecurity. The most common food-waste-reduction strategies included forecasting demand to prevent overproduction and preparing smaller batches. The most common repurposing strategies included donation and composting. Top barriers to food donation included liability concerns and lack of labor. Barriers to composting food included lack of infrastructure and knowledge/experience. Addressing perceived barriers to university foodservices' food waste reduction and repurposing efforts could lead to reduced greenhouse gas emissions and improved food security for millions of Americans.Entities:
Keywords: composting; food donation; food insecurity; food waste; higher education; institutional foodservice
Mesh:
Substances:
Year: 2022 PMID: 35682096 PMCID: PMC9180560 DOI: 10.3390/ijerph19116512
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Characteristics of sampled institutions (n = 57).
| Characteristic |
| % |
|---|---|---|
|
| ||
| Northeast | 20 | 35% |
| West | 17 | 30% |
| South | 12 | 21% |
| Midwest | 8 | 14% |
|
| ||
| Urban | 35 | 61% |
| Rural | 6 | 11% |
| Suburban | 15 | 26% |
|
| ||
| Public | 34 | 60% |
| Private | 23 | 40% |
|
| ||
| 0–4999 | 12 | 21% |
| 5000–19,999 | 18 | 32% |
| 20,000+ | 26 | 46% |
|
| ||
| 0–4999 | 23 | 40% |
| 5000–9999 | 13 | 23% |
| 10,000+ | 8 | 14% |
|
| ||
| Self/Internally Operated | 45 | 79% |
| Contract-Managed | 10 | 18% |
|
| ||
| Cook-to-serve | 55 | 96% |
| Cook-to-order | 49 | 86% |
| Assembly-serve | 39 | 68% |
| Cook-to-chill | 21 | 37% |
|
| ||
| All you care to eat (self-serve) | 47 | 82% |
| Grab-n-go | 46 | 81% |
| All you care to eat (staff-serve) | 44 | 77% |
| A la carte meals | 43 | 75% |
| Weighed purchase | 16 | 28% |
1 Institution size and Urbanization data unavailable for one institution (Institute of Advanced Study).
Food-waste concern, measurement, reduction efforts, and barriers to reduction among sampled institutions (n = 57).
| Variable |
| % |
|---|---|---|
|
| ||
| Very high | 15 | 26% |
| High | 26 | 46% |
| Moderate | 14 | 25% |
| Low | 1 | 2% |
| Not at all | 0 | 0% |
|
| ||
| Yes | 43 | 75% |
| No | 11 | 19% |
| Unsure | 2 | 4% |
|
| ||
| Yes | 44 | 77% |
| No | 9 | 16% |
| Unsure | 1 | 2% |
|
| ||
| Pre-consumer | 27 | 47% |
| Service | 23 | 40% |
| Post-consumer | 18 | 32% |
| Pre, Post, and Service combined | 19 | 33% |
| Food waste measured with computer system | 14 | 25% |
|
| ||
| Liquids vs. solids | 17 | 30% |
| Solid food groups | 9 | 16% |
|
| ||
| Forecast demand to prevent overproduction | 52 | 91% |
| Prepare smaller batches | 50 | 88% |
| Trayless dining | 49 | 86% |
| Change menu planning to reduce food waste | 48 | 84% |
| Use leftovers for other dishes | 46 | 81% |
| Offer smaller-sized plates and bowls | 41 | 72% |
| Offer smaller portions | 40 | 70% |
| Reduce amount of food served toward the end of the meal period | 40 | 70% |
| Provide educational communications about quantity and/or impact of food waste | 38 | 67% |
| Offer smaller serving utensils for self-portioned/self-served items | 26 | 46% |
| Offer sample bites | 17 | 30% |
| Use social norming | 15 | 26% |
|
| ||
| Donating to charitable organizations | 48 | 84% |
| Composting | 42 | 74% |
|
| ||
| Pre-consumer level (inedible waste: plant and/or animal components that are not served/eaten) | 39 | 93% |
| Post-consumer level (plate waste) | 39 | 93% |
| Mean % food composted (SD) | 72% (24%) | N/A |
| Industrial usage | 24 | 42% |
| Animal feed | 7 | 12% |
|
| ||
| Labor | 25 | 44% |
| Liability concerns | 17 | 30% |
| Infrastructure | 15 | 26% |
| Lack of recipient partnerships | 12 | 21% |
| State or municipal policy | 11 | 19% |
|
| ||
| Infrastructure | 33 | 58% |
| Knowledge/experience | 25 | 44% |
| Labor | 24 | 42% |
| Financial concerns | 16 | 28% |
Food insecurity concern and measurement among sampled institutions (n = 57).
| Variable |
| % |
|---|---|---|
|
| ||
| Yes | 42 | 74% |
| No | 10 | 18% |
|
| ||
| Yes | 27 | 47% |
| No | 13 | 23% |
| Unsure | 12 | 21% |
|
| ||
| Food Bank/Pantry | 34 | 60% |
| Meal Swipe Donation | 26 | 46% |
| Meals Available During Breaks | 20 | 35% |
| Discounted Meal Plans | 6 | 11% |
| Other | 18 | 32% |