Research articleNutrition Environment Measures Study in Restaurants (NEMS-R): Development and Evaluation
Introduction
The proportion of meals eaten outside the home has increased in the United States1, 2 among children and adults.3, 4, 5 Greater reliance on restaurants has potential negative nutritional and health consequences because individuals eating at restaurants more frequently have higher average caloric and fat intake, and lower fruit, vegetable, and fiber consumption.1, 6, 7, 8, 9, 10 Frequency of eating in restaurants is positively related to weight and increases in weight,8, 11, 12 perhaps due to many unhealthy choices available in restaurants and resultant higher energy consumption.1, 13, 14
Fast-food restaurants have been identified as a potential contributor to higher obesity prevalence.15 Higher concentrations of fast-food restaurants in poorer neighborhoods16, 17, 18, 19 and less healthful options within fast-food restaurants20 may partially explain higher obesity prevalence among economically disadvantaged populations. The density of fast-food restaurants accounted for 6% of the variance in obesity prevalence across United States.21 However, the evidence to date about the relationship between individuals’ weight status to their surrounding neighborhoods’ restaurant density is weak. Sturm and Datar22 found that young children’s increases in body mass index were related more to metropolitan-level estimates of fruit and vegetable prices than overall restaurant or restaurant type (e.g., fast food versus sit down) density. Restaurant density has been found to be unrelated to adults’ obesity prevalence,23 and proximity to the nearest fast-food restaurant was unrelated to overweight prevalence in lower income children.24
There is a considerable limitation of using restaurant proximity as a proxy for individuals’ food environment. This assumes that all restaurants, or at best all restaurants of the same type, have the same dietary quality, food promotion environment, and pricing. It is likely the consumer nutrition environment, that is, the environment consumers’ experience within restaurants, differs appreciably among restaurants, and could be influencing patrons’ eating patterns.25 Consumer nutrition environments within restaurants may differ in the availability of healthier menu options, nutrition information, and signage/promotion regarding specific foods or eating in general. However, research on the environment within restaurants is limited. Two studies26, 27 found low rates of low-fat menu items in restaurants. Extending findings of racial and socioeconomic disparities in the distribution of restaurants, a recent study28 found less health promotion and fewer healthy food choices in restaurants in predominantly African-American ZIP codes in Los Angeles.
There have been advancements in the measurement of food environments within restaurants, including good interobserver reliability for availability of fruits and vegetables.29 Cassady and colleagues30 developed a restaurant menu checklist for use by community members that assesses food preparation, number of healthful choices, and fruit/vegetable availability. However, this checklist did not assess the whole restaurant environment, and was tested in only 14 family-style restaurants. Further, the checklist did not evaluate price comparisons between unhealthy and healthy alternatives despite the central role of price in food selection.31, 32
To understand the relationship of food environments to eating and weight patterns, measures of neighborhood food access need to integrate restaurant accessibility with attributes of the food environment within restaurants. Measures are needed that evaluate the wide range of environmental stimuli faced by consumers within restaurants that may affect food choices. The present paper describes the development and evaluation of an observational measure of the “consumer nutrition environment” within restaurants. The instrument’s test–retest reliability, inter-rater reliability, and the ability to discriminate based on restaurant type were assessed.
Section snippets
Selection of Neighborhoods and Identification and Classification of Restaurants
The Nutrition Environment Measures Study (NEMS) developed and evaluated nutrition environment measures for restaurants (NEMS-R, described here) and retail stores (described in a separate paper33). For this part of NEMS, four neighborhoods, defined as one census tract each, were selected to provide diversity in community design (walkable versus nonwalkable) and socioeconomic status (higher and lower income). Briefly, neighborhoods designated as high or low in walkability (based on measures of
Reliability
Inter-rater and test–retest reliability values for each NEMS-R item are provided in Table 2. Inter-rater percent agreement was consistently high (all above 75%). Kappa values were generally high for inter-rater reliability (most greater than 0.80), although values were lower (less than 0.60) for main-dish salad and child’s menu healthy option availability, nutrition information availability on the menu, indication of special request and overeating encouragement, smaller versus regular portion
Discussion
The NEMS-R items were found to have acceptable, and generally very good, inter-rater and test–retest reliabilities. The utility of the tool was demonstrated by numerous significant differences in food environment variables across restaurant types, which can be interpreted as support for construct validity of the variables. Observers had high levels of agreement on most of the items, and the few items with low kappa values had low occurrence rates, such as main-dish salads labeled as healthy and
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