The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Dietary Intake Among US Adults, 1999-2012
Open accessAbstract
IMPORTANCE: Most studies of US dietary trends have evaluated major macronutrients or only a few dietary factors. Understanding trends in summary measures of diet quality for multiple individual foods and nutrients, and the corresponding disparities among population subgroups, is crucial to identify challenges and opportunities to improve dietary intake for all US adults. OBJECTIVE: To characterize trends in overall diet quality and multiple dietary components related to major diseases among US adults, including by age, sex, race/ethnicity, education, and income. DESIGN, SETTING, AND PARTICIPANTS: Repeated cross-sectional investigation using 24-hour dietary recalls in nationally representative samples including 33,932 noninstitutionalized US adults aged 20 years or older from 7 National Health and Nutrition Examination Survey (NHANES) cycles (1999-2012). The sample size per cycle ranged from 4237 to 5762. EXPOSURES: Calendar year and population sociodemographic subgroups. MAIN OUTCOMES AND MEASURES: Survey-weighted, energy-adjusted mean consumption and proportion meeting targets of the American Heart Association (AHA) 2020 continuous diet scores, AHA score components (primary: total fruits and vegetables, whole grains, fish and shellfish, sugar-sweetened beverages, and sodium; secondary: nuts, seeds, and legumes, processed meat, and saturated fat), and other individual food groups and nutrients. RESULTS: Several overall dietary improvements were identified (P < .01 for trend for each). The AHA primary diet score (maximum of 50 points) improved from 19.0 to 21.2 (an improvement of 11.6%). The AHA secondary diet score (maximum of 80 points) improved from 35.1 to 38.5 (an improvement of 9.7%). Changes were attributable to increased consumption between 1999-2000 and 2011-2012 of whole grains (0.43 servings/d; 95% CI, 0.34-0.53 servings/d) and nuts or seeds (0.25 servings/d; 95% CI, 0.18-0.34 servings/d) (fish and shellfish intake also increased slightly) and to decreased consumption of sugar-sweetened beverages (0.49 servings/d; 95% CI, 0.28-0.70 servings/d). No significant trend was observed for other score components, including total fruits and vegetables, processed meat, saturated fat, or sodium. The estimated percentage of US adults with poor diets (defined as <40% adherence to the primary AHA diet score components) declined from 55.9% to 45.6%, whereas the percentage with intermediate diets (defined as 40% to 79.9% adherence to the primary AHA diet score components) increased from 43.5% to 52.9%. Other dietary trends included increased consumption of whole fruit (0.15 servings/d; 95% CI, 0.05-0.26 servings/d) and decreased consumption of 100% fruit juice (0.11 servings/d; 95% CI, 0.04-0.18 servings/d). Disparities in diet quality were observed by race/ethnicity, education, and income level; for example, the estimated percentage of non-Hispanic white adults with a poor diet significantly declined (53.9% to 42.8%), whereas similar improvements were not observed for non-Hispanic black or Mexican American adults. There was little evidence of reductions in these disparities and some evidence of worsening by income level. CONCLUSIONS AND RELEVANCE: In nationally representative US surveys conducted between 1999 and 2012, several improvements in self-reported dietary habits were identified, with additional findings suggesting persistent or worsening disparities based on race/ethnicity, education level, and income level. These findings may inform discussions on emerging successes, areas for greater attention, and corresponding opportunities to improve the diets of individuals living in the United States.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
RETRACTED: Primary Prevention of Cardiovascular Disease with a Mediterranean Diet
Estruch, R., Ros, E., Salas-Salvadó, J., Covas, M.-I., Corella, D., Arós, F., Gómez-Gracia, E., Ruiz-Gutiérrez, V., Fiol, M., Lapetra, J., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1200303 · Cited by 4,257
RetractedHeart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., Das, S. R., de Ferranti, S., Després, J.-P., Fullerton, H. J., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000350 · Cited by 6,596
Self-citationLloyd-Jones, D. M., Hong, Y., Labarthe, D., Mozaffarian, D., Appel, L. J., Van Horn, L., Greenlund, K., Daniels, S., Nichol, G., Tomaselli, G. F., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.192703 · Cited by 4,750
Self-citationWillett, W. C. (1998) · doi:10.1093/acprof:oso/9780195122978.001.0001 · Cited by 4,541
Sick individuals and sick populations
Rose, G. (2001) · International Journal of Epidemiology · doi:10.1093/ije/30.3.427 · Cited by 3,736
Danaei, G., Ding, E. L., Mozaffarian, D., Taylor, B., Rehm, J., Murray, C. J. L., & Ezzati, M. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000058 · Cited by 2,860
Self-citationChanges in diet and lifestyle and long-term weight gain in women and men
Mozaffarian, D., Hao, T., Rimm, E. B., Willett, W. C., & Hu, F. B. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1014296 · Cited by 2,527
Self-citationThe State of US Health, 1990-2010: Burden of Diseases, Injuries, and Risk Factors
Murray, C. J. L. (2013) · JAMA · doi:10.1001/jama.2013.13805 · Cited by 2,438
Mozaffarian, D. (2016) · Circulation · doi:10.1161/circulationaha.115.018585 · Cited by 2,216
Self-citationSchulze, M. B. (2004) · JAMA · doi:10.1001/jama.292.8.927 · Cited by 1,639
Cited by
Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
Benjamin, E. J., Blaha, M. J., Chiuve, S. E., Cushman, M., Das, S. R., Deo, R., de Ferranti, S. D., Floyd, J., Fornage, M., Gillespie, C., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000485 · Cited by 12,591
Self-citationHeart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
Virani, S. S., Alonso, A., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Delling, F. N., et al. (2020) · Circulation · doi:10.1161/cir.0000000000000757 · Cited by 9,175
Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association
Benjamin, E. J., Muntner, P., Alonso, A., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Das, S. R., et al. (2019) · Circulation · doi:10.1161/cir.0000000000000659 · Cited by 9,036
Heart disease and stroke statistics-2018 update: a report from the american heart association
Benjamin, E. J., Virani, S. S., Callaway, C. W., Chamberlain, A. M., Chang, A. R., Cheng, S., Chiuve, S. E., Cushman, M., Delling, F. N., Deo, R., et al. (2018) · Circulation · doi:10.1161/cir.0000000000000558 · Cited by 7,146
Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Alonso, A., Beaton, A. Z., Bittencourt, M. S., Boehme, A. K., Buxton, A. E., Carson, A. P., Commodore-Mensah, Y., et al. (2022) · Circulation · doi:10.1161/cir.0000000000001052 · Cited by 5,987
Heart Disease and Stroke Statistics—2021 Update: A Report From the American Heart Association
Virani, S. S., Alonso, A., Aparicio, H. J., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Cheng, S., Delling, F. N., et al. (2021) · Circulation · doi:10.1161/cir.0000000000000950 · Cited by 5,784
Mokdad (2018) · doi:10.1001/jama.2018.0158 · Cited by 1,517
Dietary fats and cardiovascular disease: a presidential advisory from the American Heart Association
Sacks, F. M., Lichtenstein, A. H., Wu, J. H. Y., Appel, L. J., Creager, M. A., Kris-Etherton, P. M., Miller, M., Rimm, E. B., Rudel, L. L., Robinson, J. G., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000510 · Cited by 1,386
Emerging cancer trends among young adults in the USA: analysis of a population-based cancer registry
Sung, H., Siegel, R. L., Rosenberg, P. S., & Jemal, A. (2019) · The Lancet Public Health · doi:10.1016/s2468-2667(18)30267-6 · Cited by 618
Cienfuegos, S., Gabel, K., Kalam, F., Ezpeleta, M., Wiseman, E., Pavlou, V., Lin, S., Oliveira, M. L., & Varady, K. A. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.06.018 · Cited by 597
Rimm, E. B., Appel, L. J., Chiuve, S. E., Djoussé, L., Engler, M. B., Kris-Etherton, P. M., Mozaffarian, D., Siscovick, D. S., Lichtenstein, A. H., & On behalf of the American Heart Association Nutrition Committee of the Council on Lifestyle and Cardiometabolic Health; Council on Epidemiology and Prevention; Council on Cardiovascular Disease in the Young; Council on Cardiovascular and Stroke Nursing; and Council on Clinical Cardiology (2018) · Circulation · doi:10.1161/cir.0000000000000574 · Cited by 500
Self-citationThe energy balance model of obesity: beyond calories in, calories out
Hall, K. D., Farooqi, I. S., Friedman, J. M., Klein, S., Loos, R. J., Mangelsdorf, D. J., O’Rahilly, S., Ravussin, E., Redman, L. M., Ryan, D. H., et al. (2022) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqac031 · Cited by 315
Hur, J., Otegbeye, E., Joh, H.-K., Nimptsch, K., Ng, K., Ogino, S., Meyerhardt, J. A., Chan, A. T., Willett, W. C., Wu, K., et al. (2021) · Gut · doi:10.1136/gutjnl-2020-323450 · Cited by 229
Dietary Assessment Toolkits: An Overview
Dao, M. C., Subar, A. F., Warthon-Medina, M., Cade, J. E., Burrows, T., Golley, R. K., Forouhi, N. G., Pearce, M., & Holmes, B. A. (2019) · Public Health Nutrition · doi:10.1017/s1368980018002951 · Cited by 176
Bergeron, N., Chiu, S., Williams, P. T., M King, S., & Krauss, R. M. (2019) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqz035 · Cited by 160
Kris‐Etherton, P. M., Petersen, K. S., Velarde, G., Barnard, N. D., Miller, M., Ros, E., O'Keefe, J. H., Williams, K., Horn, L. V., Na, M., et al. (2020) · Journal of the American Heart Association · doi:10.1161/jaha.119.014433 · Cited by 132
Cooksey Stowers, K., Jiang, Q., Atoloye, A., Lucan, S., & Gans, K. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17197143 · Cited by 117
Archer, E., Marlow, M. L., & Lavie, C. J. (2018) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2018.08.003 · Cited by 115
Panth, N., Gavarkovs, A., Tamez, M., & Mattei, J. (2018) · Frontiers in Public Health · doi:10.3389/fpubh.2018.00211 · Cited by 113
Dietary polyphenol intake in US adults and 10-year trends: 2007-2016
Huang, Q., Braffett, B. H., Simmens, S. J., Young, H. A., & Ogden, C. L. (2020) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2020.06.016 · Cited by 95
Tugault-Lafleur, C. N., & Black, J. L. (2019) · Nutrients · doi:10.3390/nu11030526 · Cited by 75
Trends in Vitamin C consumption in the United States: 1999-2018
Brauchla, M., Dekker, M. J., & Rehm, C. D. (2021) · Nutrients · doi:10.3390/nu13020420 · Cited by 35
Self-citationFanelli, S. M., Kelly, O. J., Krok-Schoen, J. L., & Taylor, C. A. (2021) · Nutrients · doi:10.3390/nu13082582 · Cited by 29
Kovell, L. C., Yeung, E. H., Miller, E. R., Appel, L. J., Christenson, R. H., Rebuck, H., Schulman, S. P., & Juraschek, S. P. (2020) · International Journal of Cardiology · doi:10.1016/j.ijcard.2019.07.102 · Cited by 27
Santos, J. A., Trieu, K., Raj, T. S., Arcand, J., Johnson, C., Webster, J., & McLean, R. (2017) · The Journal of Clinical Hypertension · doi:10.1111/jch.12971 · Cited by 19
Wieland, M. L., Njeru, J. W., Okamoto, J. M., Novotny, P. J., Breen-Lyles, M. K., Goodson, M., Porraz Capetillo, G. D., Molina, L. E., & Sia, I. G. (2020) · Journal of Behavioral Medicine · doi:10.1007/s10865-019-00131-3 · Cited by 14
Metadata
- Authors
- Rehm, C. D., Peñalvo, J. L., Afshin, A., & Mozaffarian, D.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2016-06-21
- Volume
- 315
- Issue
- 23
- Pages
- 2542
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2469921445
- Cited by
- 677
- References
- 17
- FWCI
- 58.94
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.