| Literature DB >> 34178795 |
Nahid Zerafati-Shoae1,2, Mohammad Hossein Taghdisi3, Leila Azadbakht4, Hamid Sharif Nia5, Naheed Aryaeian1,6.
Abstract
BACKGROUND: Food store measurement is important for planners and policy makers to improve unhealthy stores towards healthy stores. This review aimed to outline the concepts and measures development of checklists that assess food store environment in urban communities.Entities:
Keywords: Development; Food store environment; Instrument; Measurement
Year: 2021 PMID: 34178795 PMCID: PMC8214622 DOI: 10.18502/ijph.v50i3.5588
Source DB: PubMed Journal: Iran J Public Health ISSN: 2251-6085 Impact factor: 1.429
Fig. 1:PRISMA flow diagram
Description and psychometric properties of checklists for measuring food store environment
| Unnamed, USA, 1990 ( | Not mentioned | Promotion (health education activities usually printed material for example shelf labeling, posters), display (proportion of shelf space)/score=4 | No reported score= 1 | Not reported | - |
| Unnamed, USA, 2004 ( | Racial/ethnic minority neighborhood | Availability, price/score=2 | A nutrition committee selected appropriate food to be included in the tool based on recommendation, culturally acceptable and field work/score= 4 | Field work | Inter-rater reliability: κ= 0.94–1.00 |
| NEMS-S, USA, 2007( | People who live in neighborhoods with High/low in SES | Availability of food items (present/absent of some food items), Quality of fresh fruits and vegetables (acceptable/unacceptable freshness rating), cost (price per pound or item)/score=4 | Review of literature, Review of existing tools, expert consultation, Use of theory/score= 4 | pretesting proposed tool | Test-retest reliability for all food items: 0.73–1.00 |
| Unnamed, Australia, 2007 ( | different in socioeconomic neighborhood | Availability, price/score=2 | Food were chosen based on guide to healthy eating, purchasing behavior and minimizing risk for diet-related diseases/score= 2 | Not reported | Inter-rater reliability: κ=0.74±0.03 |
| Unnamed, USA, 2007, ( | Not mentioned | Availability of alcohol and selected foods (presence/absence), advertising of alcohol (extent of ads inside the store/ number of ads on exterior of store), price of alcohol, placement of alcohol, length shelf space for alcohol and F&V (feet)/score=4 | Use of existing instrument/score= 3 | pilot- testing | Inter-rater reliability: κ=0.87 |
| TxNEA-S, USA, 2010, ( | Low-income and high-income neighborhoods | The same as NEMS-S/score= - | The list of previously validated instrument (NEMS-S) was modified and expanded by team of experts opinion and use of recommendations in dietary guidelines/score=4 | Expert opinion | Test-retest: % Agreement=%92±6 |
| Unnamed, USA, 2010 ( | Racially/ethnically and socioeconomically diverse community areas | Availability food options(presence/absence), prices some food (per pound/per item), quality of fresh fruit and vegetables (external appearance e.g. color, texture, form, damage)/score= 4 | Survey items were based on existing instrument, dietary recommendation, food items commonly consumed in the USA, food preferences of racial/ethnic populations, field testing was conducted/score=3 | Pretesting | Test-retest: |
| FEAD-N, USA, 2011 ( | Low-income and racial/ethnic minority neighborhoods | NEMS-S constructs Added physical and social store features/score= 3 | Use of several existing instruments, food items added based on culturally specific foods, store physical and social features were identified based on prior studies, previous tools, informal observation at stores, interviews with community residents, focus group/score=3 | Not mentioned | Inter-rater reliability: Almost more than 75% of items had κ=0.80–1.00 |
| FROST, USA, 2011 ( | a racially diverse areas with predominantly low socioeconomic status and moderate-income | Availability of food items, placement of fresh produce, prices and sizes of selected food, stores’ physical characteristics/score= 3 | Based on researcher experience of previous studies, review of existing tools, use of nutritionally important foods recommendations, identifying food items according to local food culture/preference, review of available tools, and advisory board members / score=4 | the first draft of tool was pilot tested and revised to increase operational efficiencies | Inter-rater reliability: The most of items had κ=0.80–1.00 |
| CX3 Food Availability and Marketing Survey, USA, 2011 (33) | Low-income areas | Price, availability of foods, quality of fruit & vegetable, advertising, marketing, promotions, product placement/score= 2 | Was designed by expert opinion and field working/score= 3 | Pilot testing | Inter-rater reliability: κ=0.681–0.800 |
| EURO-PREVOB Community Questionnaire, Europe, 2012 (38) | Areas of varying levels of affluence | Food environment: (number and types of food store, cost and availability of indicative food items, marketing in and outside the grocery stores, cost and marketing related to selected fast food items) build environment/score= 2 | The literature Review conducted to identify questionnaires aspects of obesogenic environment, the first draft was refined at an expert meeting/score= 4 | The instrument was pilot tested | Inter-rater reliability: ICC=0.95–0.98 |
| GroPromo Audit Tool, USA, 2012 ( | High/low income, ethnic group | Placement and promotional prominence of healthy and less-healthy food items/score= 2 | Reviewing literature and selecting Food items based on nutritional value and associations with childhood obesity/score= 2 | Not reported | - |
| BTG-FSOF, USA, 2013 ( | racially mixed area (withe and non-white residents) | Food availability, price, advertisements, store characteristics, product placement/promotion/score= 2 | Use of several existing instruments, review of previous surveys on dietary habits, consulting with experts/score= 4 | Pre-testing the initial draft for modification | Inter-rater reliability: κ=0.84 |
| Unnamed, Brazil, 2013 ( | Three socioeconomic levels areas | The same as NEMS-S/score= - | The original NEMS-S was adapted across a series of meetings of researchers, identifying food items according to commonly eaten in Brazil, recommendations and degree of industrial processing of food/score= 4 | pretesting the tool | Inter-rater reliability: κ=0.77 |
| NEMS-CS, USA, 2013 ( | Low-income areas | The same as NEMS-S/score= - | Items were expanded from previously validated tool (NEMS-S) / score= 3 | Not reported | Inter-rater reliability: κ=0.79–1.00Test-retest reliability: κ=0.37–1.00 |
| Unnamed, China, 2014 ( | Ethnic minority groups | The same as NEMS-S/score= - | Use of validated instrument (NEMS-S) to provide ideas for conceptualizing the tool, reviewing the literature to determine appropriate survey items/score= 4 | pilot testing | Inter-rater reliability: κ=0.5 |
| SNACZ Food Store Checklist, USA, 2014 ( | Students in elementary and middle schools located around the food stores | Availability of healthier alternatives to the energy-dense snacks and beverages/score= 2 | items were identified by reviewing literature and tools / score= 3 | pretesting in stores | Inter-rater reliability: 73% of items had κ=0.61–1.00 |
| Unnamed, UK, 2014 ( | different in socioeconomic neighborhood | Variety (number of different choice), price (pound per portion), quality(based on quality indicator), promotions, shelf placement, store placement, nutrition information, single fruit sale (single sale was possible) / score= 4 | Food items were selected based on frequently consumed in England and represent the recommendations and contribute to nutrition-related chronic diseases/score= 2 | Not reported | Inter-rater reliability: κ=≥ 0.85 |
| ESAO-S, Brazil, 2015 ( | different in socioeconomic levels areas | Availability of selected foods, variety (number of different brands available for purchase), quality (unacceptable if 75% of the products was bruised, old looking, overripe, or spotted), pricing (price per kilogram/per unit), promotion (number of different advertisements and signs: nutrition information, displays) / score= 4 | Building on existing tools and literatures and inputs from a panel of experts in food environment from other country / score= 4 | The initial draft was modified based on the pretesting | Inter-rater reliability: most items had κ=≥ 0.70Test-retest reliability: most items had κ=≥ 0.70 |
| Unnamed, USA, 2015 ( | Not mentioned | the same as NEMS-S (Short form of NEMS-S) / score= - | Validated tool (NEMS-S) / score= 4 | Items reduced by data mining techniques | - |
| The Outdoor MEDIA DOT, USA, 2015 ( | Students in middle and high schools located around the food stores | Food and beverage advertising (any sign promoting food or beverages) / score= 4 | Categories, types of advertisement were determined based on a review of the literature or were created by study/score= 4 | Field study | - |
| SCAT, USA, 2016 ( | Low-income, high-minority communities | availability (the same as NEMS-CS, Short form of NEMS-S) / score= - | NEMS-CS survey items that related to availability of food items were selected but items related to price and quality were excluded, additional items were generated based on input from community partners and expert panel / score= 4 | items redact after analytic approaches | - |
| ToNEMS-S, Canada, 2016 ( | The neighborhood was composed of low-income residents (ethno-cultural diverse groups and immigrants) | the same as NEMS-S/score= - | Items were added to validated tool (NEMS-S) based on healthy eating recommendations, commonly food consumption by population under study, field observation and key informant interviews/score= 4 | Field-testing | Inter-rater reliability for availability: κ=0.91Inter-rater reliability for variety: ICC=0.806–0.995 |
| TXNEMS-WIC, USA, 2016 ( | Across the state of Texas | Availability (amount of shelf space, number of varieties of F&V, stocking of products, quality of fresh produce), accessibility (visibility or display of each product, presence of WIC labels), affordability (cost of the LEB item) / score= 4 | Additional foods (WIC food package) that are culturally specific to minority populations added to previous validated instrument (TxNEA-S) / score= 4 | field testing improved the tool | Inter-rater reliability: %Agreement ≥ 0.95 |
SES socio-economic status; F&V fruits and vegetables; LEB least expensive brand item
psychometric properties were reported for constructs of availability or variety of food items (ICC for counts of selected absence/presence of food items. In some studies %Agreement were reported).
based on method of Vaughn et al.
based on manner of Gebremariam et al.
availability was not construct of the tool or the tool is the short form of previous validated tool that psychometric testing were done before.
construct validity means the degree to which the measure is correlated with other constructs in the path that one would expected.
values reported mean or range.
Result is from other study: Minaker et.al. American journal of epidemiology. 2013 Nov 20;179(4):519–28.