To send content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about sending content to .
To send content items to your Kindle, first ensure firstname.lastname@example.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about sending to your Kindle.
Note you can select to send to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Hunger relief agencies have a limited capacity to monitor the nutritional quality of their food. Validated measures of food environments, such as the Healthy Eating Index-2010 (HEI-2010), are challenging to use due to their time intensity and requirement for precise nutrient information. A previous study used out-of-sample predictions to demonstrate that an alternative measure correlated well with the HEI-2010. The present study revised the Food Assortment Scoring Tool (FAST) to facilitate implementation and tested the tool’s performance in a real-world food pantry setting.
We developed a FAST measure with thirteen scored categories and thirty-one sub-categories. FAST scores were generated by sorting and weighing foods in categories, multiplying each category’s weight share by a healthfulness parameter and summing the categories (range 0–100). FAST was implemented by recording all food products moved over five days. Researchers collected FAST and HEI-2010 scores for food availability and foods selected by clients, to calculate correlations.
Five food pantries in greater Minneapolis/St. Paul, Minnesota, USA.
Food carts of sixty food pantry clients.
The thirteen-category FAST correlated well with the HEI-2010 in prediction models (r = 0·68). FAST scores averaged 61·5 for food products moved, 63·8 for availability and 62·5 for client carts. As implemented in the real world, FAST demonstrated good correlation with the HEI-2010 (r = 0·66).
The FAST is a flexible, valid tool to monitor the nutritional quality of food in pantries. Future studies are needed to test its use in monitoring improvements in food pantry nutritional quality over time.
To demonstrate the feasibility of applying the Healthy Eating Index-2010 (HEI-2010) to the hunger relief setting, specifically by assessing the nutritional quality of foods ordered by food shelves (front-line food provider) from food banks (warehouse of foods).
This Healthy FOOD (Feedback On Ordering Decisions) observational study used electronic invoices detailing orders made by 269 food shelves in 2013 and analysed in 2015 from two large Minnesota, USA food banks to generate HEI-2010 scores. Initial development and processing procedures are described.
The average total HEI-2010 score for the 269 food shelves was 62·7 out of 100 with a range from 28 to 82. Mean component scores for total protein foods, total vegetables, fatty acids, and seafood and plant proteins were the highest. Mean component score for whole grains was the lowest followed by dairy, total fruits, refined grains and sodium. Food shelves located in micropolitan areas and the largest food shelves had the highest HEI-2010 scores. Town/rural and smaller food shelves had the lowest scores. Monthly and seasonal differences in scores were detected. Limitations to this approach are identified.
Calculating HEI-2010 for food shelves using electronic invoice data is novel and feasible, albeit with limitations. HEI-2010 scores for 2013 identify room for improvement in nearly all food shelves, especially the smallest agencies. The utility of providing HEI-2010 scores to decision makers in the hunger relief setting is an issue requiring urgent study.
Although existing evidence links breakfast frequency to better dietary quality, little is known specifically in regard to the benefits associated with eating breakfast together with one’s family. The present study describes the prevalence and experience of having family meals at breakfast among rural families and examines associations between meal frequency and adolescent diet quality.
Data were drawn from Project BreakFAST, a group-randomized trial aimed at increasing school breakfast participation in rural Minnesota high schools, USA. Linear mixed models were used to examine associations between student reports of family breakfast frequency and Healthy Eating Index 2010 (HEI-2010) scores while accounting for clustering within schools, demographics and household food security.
Adolescent students from sixteen schools completed online surveys, height and weight measurements, and dietary recalls at baseline in 2012–2014.
The sample included 827 adolescents (55·1 % girls) in grades 9–10 who reported eating breakfast on at most three days per school week.
On average, adolescents reported eating breakfast with their family 1·3 (sd 1·9) times in the past week. Family breakfast meals occurred most frequently in the homes of adolescents who reported a race other than white (P=0·002) or Hispanic ethnicity (P=0·02). Family breakfast frequency was directly associated with adolescent involvement in preparing breakfast meals (P<0·001) and positive attitudes (P≤0·01) about mealtime importance, interactions and structure. Family breakfast frequency was unrelated to most diet quality markers.
Family meals may be one important context of opportunity for promoting healthy food patterns at breakfast. Additional research is needed to better inform and evaluate strategies.
To compare the strength of district wellness policies with corresponding school-level practices reported by principals and teachers.
District-level wellness policy data were collected from school district websites and, if not available online, by requests made to district administrators in the autumn of 2013. The strength of district policies was scored using the Wellness School Assessment Tool. School-level data were drawn from the 2012 Minnesota School Health Profiles principal and teacher surveys and the National Center for Education Statistics Common Core Data. Generalized estimating equations which accounted for school-level demographics and the nesting of up to two schools within some districts were used to examine ten district policy items and fourteen school-level practices of relevance to nutrition standards, nutrition education and wellness promotion, and physical activity promotion.
State-wide sample of 180 districts and 212 public schools in Minnesota, USA.
The mean number of energy-dense, nutrient-poor snack foods and beverages available for students to purchase at school was inversely related to the strength of district wellness policies regulating vending machines and school stores (P=0·01). The proportion of schools having a joint use agreement for shared use of physical activity facilities was inversely related to the strength of district policies addressing community use of school facilities (P=0·03). No associations were found between the strength of other district policies and school-level practices.
Nutrition educators and other health professionals should assist schools in periodically assessing their wellness practices to ensure compliance with district wellness policies and environments supportive of healthy behaviours.
The aim of the present study was to explore the implementation of nutrition recommendations made in the 2010 Institute of Medicine (IOM) report, Child and Adult Care Food Program: Aligning Dietary Guidance for All, in school-based after-school snack programmes.
A descriptive study.
One large suburban school district in Minneapolis, Minnesota, USA.
Major challenges to implementation included limited access to product labelling and specifications inconsistent with the IOM's Child and Adult Care Food Program (CACFP) recommendations, limited access to healthier foods due to current school district buying consortium agreement, and increased costs of wholegrain and lower-sodium foods and pre-packaged fruits and vegetables.
Opportunities for government and industry policy development and partnerships to support schools in their efforts to promote healthy after-school food environments remain. Several federal, state and industry leadership opportunities are proposed: provide product labelling that makes identifying snacks which comply with the 2010 IOM CACFP recommended standards easy; encourage compliance with recommendations by providing incentives to programmes; prioritize the implementation of paperwork and technology that simplifies enrolment and accountability systems; and provide support for food safety training and/or certification for non-food service personnel.
Email your librarian or administrator to recommend adding this to your organisation's collection.