Among early adolescents (10–14 years), poor diet quality along with physical inactivity can contribute to an increased risk of obesity and associated biomarkers for chronic disease. Approximately one-third of United States (USA) children in this age group are overweight or obese. Therefore, attention to factors affecting dietary intake as one of the primary contributors to obesity is important. Early adolescents consume foods and beverages during eating occasions that occur with and without parental supervision. Parents may influence eating behaviors of early adolescents during eating occasions when they are present or during independent eating occasions by engaging in practices that affect availability of foods and beverages, and through perceived normative beliefs and expectations for intake. Therefore, the purpose of this article was to describe the influence of parenting practices on eating behaviors in general and when specifically applied to independent eating occasions of early adolescents. This information may be helpful to inform parenting interventions targeting obesity prevention among early adolescents focusing on independent eating occasions.

Self-reported dietary intake data contain valuable information and have long been used in the development of nutrition programs and policy. Some degree of measurement error is always present in such data. Biological plausibility, assessed by determining whether self-reported energy intake (rEI) reflects physiological status and physical activity level, must be examined and accounted for before drawing conclusions about intake. Methods that may be used to account for plausibility of rEI include crude methods such as excluding participants reporting EIs at the extremes of a range of intake and individualized methods such as statistical adjustment and applying cutoffs that account for the errors associated with within-participant variation in EI and total energy expenditure (TEE). These approaches allow researchers to determine how accounting for under- and overreporting affects study results and to appropriately address misreporting in drawing conclusions with data collected and in interpreting reported research. In selecting a procedure to assess and account for plausibility of intake, there are a number of key considerations, such as resources available, the dietary-report instrument, as well as the advantages and disadvantages of each method. While additional studies are warranted to recommend one procedure as superior to another, researchers should apply one of the available methods to address the issue of implausible rEI. If no method is applied, then at minimum, mean TEE or rEI/TEE should be reported to allow readers to ascertain the degree of misreporting at a gross level and better interpret the data and results provided.

BackgroundPeruvian adolescents are at high nutritional risk, facing issues such as overweight and obesity, anemia, and pregnancy during a period of development. Research seeking to understand contextual factors that influence eating habits to inform the development of public health interventions is lacking in this population. This study aimed to understand socio-cultural influences on eating among adolescents in periurban Lima, Peru using qualitative methods.MethodsSemi-structured interviews and pile sort activities were conducted with 14 adolescents 15–17 years. The interview was designed to elicit information on influences on eating habits at four levels: individual (intrapersonal), social environmental (interpersonal), physical environmental (community settings), and macrosystem (societal). The pile sort activity required adolescents to place cards with food images into groups and then to describe the characteristics of the foods placed in each group. Content analysis was used to identify predominant themes of influencing factors in interviews. Multidimensional scaling and hierarchical clustering analysis was completed with pile sort data.ResultsIndividual influences on behavior included lack of financial resources to purchase food and concerns about body image. Nutrition-related knowledge also played a role; participants noted the importance of foods such as beans for anemia prevention. At the social environmental level, parents promoted healthy eating by providing advice on food selection and home-cooked meals. The physical environment also influenced intake, with foods available in schools being predominantly low-nutrient energy-dense. Macrosystem influences were evident, as adolescents used the Internet for nutrition information, which they viewed as credible.ConclusionsTo address nutrition-related issues such as obesity and iron-deficiency anemia in Peruvian adolescents, further research is warranted to elucidate the roles of certain factors shaping behavior, particularly that of family, cited numerous times as having a positive influence. Addressing nutrition-related issues such as obesity and iron-deficiency anemia in this population requires consideration of the effect of social and environmental factors in the context of adolescent lifestyles on behavior. Nutrition education messages for adolescents should consider the cultural perceptions and importance of particular foods, taking into account the diverse factors that influence eating behaviors.

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There were no significant improvements in feeding practices or in weight with the intervention. The timeline of the messages in relation to the targeted behavior may have affected the effectiveness of the intervention. Earlier dissemination of messages, higher level of intensity, longer intervention, additional contacts and inclusion of other caregivers may be needed to achieve the desired effects.

Background Food waste studies have been used for more than 40 years to assess nutrient intake, dietary quality, menu performance, food acceptability, cost, and effectiveness of nutrition education in the National School Lunch Program (NSLP). Objective Describe methods used to measure food waste and respective results in the NSLP across time. Methods A systematic review using PubMed, Science Direct, Informaworld, and Institute of Scientific Information Web of Knowledge was conducted using the following search terms: waste, school lunch, plate waste, food waste, kitchen, half method, quarter method, weight, and photography. Studies published through June 2015 were included. The systematic review followed preferred reporting items for systematic reviews and meta-analyses recommendations. Results The final review included 53 articles. Food waste methodologies included in-person visual estimation (n=11), digital photography (n=11), direct weighing (n=23), and a combination of in-person visual estimation, digital photography, and/or direct weighing (n=8). A majority of studies used a pre–post intervention or cross-sectional design. Fruits and vegetables were the most researched dietary component on the lunch tray and yielded the greatest amount of waste across studies. Conclusions Food waste is commonly assessed in the NSLP, but the methods are diverse and reporting metrics are variable. Future research should focus on establishing more uniform metrics to measure and report on food waste in the NSLP. Consistent food waste measurement methods will allow for better comparisons between studies. Such measures may facilitate better decision making about NSLP practices, programs, and policies that influence student consumption patterns across settings and interventions.

Development of outcome measures relevant to health nutrition behaviors requires a rigorous process of testing and revision. Whereas researchers often report performance of quantitative data collection to assess questionnaire validity and reliability, qualitative testing procedures are often overlooked. This report outlines a procedure for assessing face validity of a Spanish-language dietary assessment tool. Reviewing the literature produced no rigorously validated Spanish-language food behavior assessment tools for the US Department of Agriculture’s food assistance and education programs. In response to this need, this study evaluated the face validity of a Spanish-language food behavior checklist adapted from a 16-item English version of a food behavior checklist shown to be valid and reliable for limited-resource English speakers. The English version was translated using rigorous methods involving initial translation by one party and creation of five possible versions. Photos were modified based on client input and new photos were taken as necessary. A sample of low-income, Spanish-speaking women completed cognitive interviews (n=20). Spanish translation experts (n=7) fluent in both languages and familiar with both cultures made minor modifications but essentially approved client preferences. The resulting checklist generated a readability score of 93, indicating low reading difficulty. The Spanish-language checklist has adequate face validity in the target population and is ready for further validation using convergent measures. At the conclusion of testing, this instrument may be used to evaluate nutrition education interventions in California. These qualitative procedures provide a framework for designing evaluation tools for low-literate audiences participating in the US Department of Agriculture food assistance and education programs.

Background: To design effective nutrition education interventions for college students, research is needed to determine the factors influencing food choices. The purpose of this study was to identify perceived barriers and enablers of healthy eating in college students ages 18-24 at the University of Hawai'i at Mānoa. Methods: Prior to conducting focus groups, an interview guide was developed based on a literature review of relevant studies. The interview guide was successfully tested in the first focus group and used in the rest of the focus groups. Eleven focus groups with group sizes of two to six were conducted (n = 44). Focus groups were audio-recorded and transcribed. Transcripts were coded in NVIVO11 using content analysis, and additional codes were added to the codebook based on emergent ideas from the transcripts. After completion of the final codebook, transcripts were recoded with the new codebook. Final code counts were used to identify overarching ideas based on the socio-ecological model of health, consisting of four levels of influence: individual (intrapersonal), social environmental (interpersonal), physical environmental (community settings), and macrosystem (societal).