Abstract
Background
Objective
Design
Participants/setting
Measures
Statistical analyses performed
Results
Conclusions and relevance
Keywords
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Journal of the Academy of Nutrition and DieteticsReferences
- Making healthful food choices: the influence of health claims and nutrition information on consumers’ evaluations of packaged food products and restaurant menu items.J Mark. 2003; 67: 19-34
- Consumer understanding and use of health claims for foods.Nutr Rev. 2005; 63: 256-264
- Putting the organic label in context: Examining the interactions between the organic label, product type, and retail outlet.Food Qual Prefer. 2016; 49: 140-150
- The “organic” path to obesity? Organic claims influence calorie judgments and exercise recommendations.Judgm Decis Mak. 2010; 5: 144-150
- Consumer attitudes and understanding of low-sodium claims on food: an analysis of healthy and hypertensive individuals.Am J Clin Nutr. 2013; 97: 1288-1298
- Naturally good: front-of-package claims as message cues.Appetite. 2017; 108: 506-511
- The influence of a factitious free-from food product label on consumer perceptions of healthfulness.J Acad Nutr Diet. 2015; 115: 1808-1814
- Beverage consumption in relation to discretionary food intake and diet quality among US adults, 2003 to 2012.J Acad Nutr Diet. 2016; 116: 28-37
- Can “low-fat” nutrition labels lead to obesity?.J Mark Res. 2006; 43: 605-617
- Navigating the gluten-free boom.JAAPA. 2015; 28: 1-7
- Gluten-free diet: Imprudent dietary advice for the general population?.J Acad Nutr Diet. 2012; 112: 1330-1333
- Wheat Belly: Lose the Wheat, Lose the Weight, and Find Your Path Back to Health.Rodale, New York, NY2014
- Grain Brain: The Surprising Truth about Wheat, Carbs, and Sugar—Your Brain's Silent Killers.Little, Brown and Company, New York, NY2013
- The Autoimmune Solution: Prevent and Reverse the Full Spectrum of Inflammatory Symptoms and Diseases.HarperCollins, New York, NY2015
Riffkin R. One in five Americans include gluten-free foods in diet. Gallup, Inc. 2015. http://news.gallup.com/poll/184307/one-five-americans-include-gluten-free-foods-diet.aspx. Accessed May 14, 2018.
Packaged Facts. Gluten-Free Foods in the U.S., 6th ed. 2016. https://www.packagedfacts.com/Gluten-Free-Foods-10378213/. May 14, 2018.
Topper A. Non-celiacs drive gluten-free market growth. Mintel Group Ltd. 2014. http://www.mintel.com/blog/food-market-news/gluten-free-consumption-trends. May 14, 2018.
- Time trends in the prevalence of celiac disease and gluten-free diet in the us population: Results from the national health and nutrition examination surveys 2009-2014.JAMA Intern Med. 2016; 176: 1716-1717
- Consumer perceptions of gluten-free products and the healthfulness of gluten-free diets.J Nutr Educ Behav. 2014; 46: S184-S185
- Nutritional differences between a gluten-free diet and a diet containing equivalent products with gluten.Plant Foods Hum Nutr. 2014; 69: 182-187
- Nutritional aspects of gluten-free products.J Sci Food Agric. 2015; 95: 2380-2385
- Which modifiable health risk behaviours are related? A systematic review of the clustering of smoking, nutrition, alcohol and physical activity (“SNAP”) health risk factors.Prev Med. 2015; 81: 16-41
- Overweight status and eating patterns among adolescents: Where do youth stand in comparison to the Healthy People 2010 objectives?.Am J Pub Health. 2002; 92: 844-851
- Ethnic/racial differences in weight-related concerns and behaviors among adolescent girls and boys: Findings from Project EAT.J Psychosom Res. 2002; 53: 963-974
Fine A, Kotelchuck M, US Department of Health and Human Services HRaSA, Maternal and Child Health Bureau. Rethinking MCH: The Life Course Model as an Organizing Framework. Version 1. 2010. https://www.hrsa.gov/sites/default/files/ourstories/mchb75th/images/rethinkingmch.pdf. Accessed May 14, 2018.
- Characteristics and dietary patterns of adolescents who value eating locally grown, organic, nongenetically engineered, and nonprocessed food.J Nutr Educ Behav. 2009; 41: 11-18
- Dieting and unhealthy weight control behaviors during adolescence: Associations with 10-year changes in body mass index.J Adolesc Health. 2012; 50: 80-86
Healthy weight: Assessing your weight. US Centers for Disease Control and Prevention. 2015. https://www.cdc.gov/healthyweight/assessing/index.html. Accessed May 14, 2018.
- Adolescents who engage exclusively in healthy weight control behaviors: Who are they?.Int J Behav Nutr Phys Act. 2016; 13: 5
- A simple method to assess exercise behavior in the community.Can J Appl Sport Sci. 1985; 10: 141-146
- Evaluation of two self-report measures of physical activity with accelerometry in young adults.J Phys Act Health. 2013; 10: 85-96
Physical Activity Guidelines for Americans. Physical Activity Guidelines Advisory Committee. 2008. https://health.gov/paguidelines/guidelines/adults.aspx. Accessed May 14, 2018.
- Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire.Am J Clin Nutr. 1999; 69: 243-249
- International table of glycemic index and glycemic load values: 2002.Am J Clin Nutr. 2002; 76: 5-56
- High fiber and low starch intakes are associated with circulating intermediate biomarkers of type 2 diabetes among women.J Nutr. 2016; 146: 306-317
HSPH Nutrition Department’s File Download Site. 2017: Harvard School of Public Health Nutrition Department. https://regepi.bwh.harvard.edu/health/nutrition.html. Accessed May 14, 2018.
- Reproducibility and validity of food intake measurements from a semiquantitative food frequency questionnaire.J Am Diet Assoc. 1993; 93: 790-796
- Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals.Am J Epidemiol. 1992; 135: 1114-1136
- Survey nonresponse adjustments for estimates of means.Int Stat Rev. 1986; 54: 139-157
- Estimating predicted probabilities from logistic regression: different methods correspond to different target populations.Int J Epidemiol. 2014; 43: 962-970
- Assessment of risks by predicting counterfactuals.Stat Med. 2009; 28: 3761-3781
- Who’s buying organic vegetables? Demographic characteristics of U.S. consumers.J Food Products Marketing. 2009; 16: 79-91
- Which livestock production claims matter most to consumers?.Agric Human Values. 2017; 34: 819-831
- Does increased exercise or physical activity alter ad-libitum daily energy intake or macronutrient composition in healthy adults? A systematic review.PLoS ONE. 2014; 9: e83498
- Gender differences in eating behavior and body weight regulation.Health Psychol. 1991; 10: 133-142
- SAS Statistical Software [computer program]. Version 9.4. SAS Institute, Inc, Cary, NC2013
- Barriers to equity in nutritional health for U.S. children and adolescents: A review of the literature.Curr Nutr Rep. 2015; 4: 102-110
- How healthy is a gluten-free diet?.Br J Nutr. 2015; 114: 1539-1541
- ChooseMyPlate.gov.US Department of Agriculture, Washington, DC2015
- Long-term gluten consumption does not affect CHD risk in non-coeliac population.BMJ. 2017; 357: j1892
- Whole grains and the gluten-free diet.Pract Gastroenterol. 2006; 30: 66
- Gluten-free diet survey: Are Americans with coeliac disease consuming recommended amounts of fibre, iron, calcium and grain foods?.J Hum Nutr Diet. 2005; 18: 163-169
- Gluten free diet and nutrient deficiencies: A review.Clin Nutr. 2016; 35: 1236-1241
- Limited availability and higher cost of gluten-free foods.J Hum Nutr Diet. 2011; 24: 479-486
- Economic burden of a gluten-free diet.J Hum Nutr Diet. 2007; 20: 423-430
- Cost and availability of gluten-free food in the UK: in store and online.Postgrad Med J. 2015; 91: 622-626
- Less hidden celiac disease but increased gluten avoidance without a diagnosis in the United States.Mayo Clin Proc. 2017; 92: 30-38
Biography
Biography
Biography
Biography
Biography
Article info
Publication history
Footnotes
Supplementary materials: Podcast available at www.jandonline.org/content/podcast
STATEMENT OF POTENTIAL CONFLICT OF INTEREST No potential conflict of interest was reported by the authors.
FUNDING/SUPPORT This study was supported by grant number R01HL116892 from the National Heart, Lung, and Blood Institute (Principal Investigator [PI]: Dianne Neumark-Sztainer). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Heart, Lung, and Blood Institute (NHLBI) or the National Institutes of Health. Mary J. Christoph is supported by the Health Resources and Services Administration (HRSA) of the US Department of Health and Human Services (HHS) under National Research Service Award (NRSA) in Primary Medical Care, grant number T32HP22239 (PI: Iris Borowsky). Katie C. Hootman was supported by the NHLBI NRSA in Cardiovascular Disease Epidemiology and Prevention, grant number T32HL007779 (PI: Aaron Folsom). Jonathan M. Miller is supported by grant number T32CA163184 from the National Cancer Institute (PI: Michele Allen). This information or content and conclusions are those of the authors and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS, or the US Government.