The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Changes in intake of protein foods, carbohydrate amount and quality, and long-term weight change: results from 3 prospective cohorts
Open accessAbstract
Background Dietary guidelines recommend interchanging protein foods (e.g., chicken for red meat), but they may be exchanged for carbohydrate-rich foods varying in quality [glycemic load (GL)]. Whether such exchanges occur and how they influence long-term weight gain are not established.Objective Our objective was to determine how changes in intake of protein foods, GL, and their interrelationship influence long-term weight gain.Design We investigated the association between 4-y changes in consumption of protein foods, GL, and their interaction with 4-y weight change over a 16- to 24-y follow-up, adjusted for other lifestyle changes (smoking, physical activity, television watching, sleep duration), body mass index, and all dietary factors simultaneously in 3 prospective US cohorts (Nurses' Health Study, Nurses' Health Study II, and Health Professionals Follow-Up Study) comprising 120,784 men and women free of chronic disease or obesity at baseline.Results Protein foods were not interchanged with each other (intercorrelations typically <|0.05|) but with carbohydrate (negative correlation as low as -0.39). Protein foods had different relations with long-term weight gain, with positive associations for meats, chicken with skin, and regular cheese (per increased serving/d, 0.13-1.17 kg; P = 0.02 to P < 0.001); no association for milk, legumes, peanuts, or eggs (P > 0.40 for each); and relative weight loss for yogurt, peanut butter, walnuts, other nuts, chicken without skin, low-fat cheese, and seafood (-0.14 to -0.71 kg; P = 0.01 to P < 0.001). Increases in GL were independently associated with a 0.42-kg greater weight gain per 50-unit increase (P < 0.001). Significant interactions (P-interaction < 0.05) between changes in protein foods and GL were identified; for example, increased cheese intake was associated with weight gain when GL increased, with weight stability when GL did not change, and with weight loss when exchanged for GL (i.e., decrease in GL).Conclusion Protein foods were commonly interchanged with carbohydrate, and changes in protein foods and GL interacted to influence long-term weight gain.
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In the citing paper
“In contrast, intakes of other foods, such as low-fat milk and whole-fat milk, appear relatively neutral, suggesting they do not perturb the normal homeostatic mechanisms for long-term weight control.29, 51”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The gut microbiome also appears increasingly important; e.g., probiotics in yogurt appear to interact with microbiota to reduce weight gain.28, 29, 51-54”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Both Mediterranean and DASH diet patterns improve a range of risk factors, reduce long-term weight gain, and are consistently associated with lower risk of clinical events.19, 21, 27-29”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
Experimental — accuracy not yet measuredIn the citing paper
“Longitudinal studies suggest no harms of whole-fat milk for obesity, diabetes, or cardiovascular disease in adults;28, 29, 51, 57, 58”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
In the citing paper
“Conversely, increased fruits, nonstarchy vegetables, nuts, yogurt, fish, and whole grains each appear to protect against chronic weight gain: the more these foods are consumed, the less the average weight gain.28, 29, 51, 55”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
In the citing paper
“Other conventional metrics – e.g., total fat, energy density, even added sugar– may also not reliably identify how specific foods influence weight gain.28, 29, 51”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
In the citing paper
“that people switching to low-fat dairy products compensate elsewhere in their diet by increasing consumption of carbohydrates;29”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
In the citing paper
“For meats, cheese, and eggs, influences on long-term weight gain appear to vary depending on whether they are consumed together with refined carbohydrates (in which case more weight gain is evident) or in place of refined carbohydrates (in which less weight gain or even relative weight loss is seen).29”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
In the citing paper
“For long-term weight gain, food rich in refined grains, starches, and sugar appear to be primary culprits.28, 29”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
In the citing paper
“Consistent with this constellation of adverse effects, poor quality carbohydrates are associated with long-term weight gain, diabetes, and CVD.29, 89, 158, 167”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
In the citing paper
“In longitudinal studies among adults, neither low-fat nor whole-fat milk are appreciably related to chronic weight gain.28, 29, 51”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
In the citing paper
“Increases in butter consumption are associated with modestly greater long-term weight gain.29”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
In the citing paper
“The impact of cheese consumption on long-term weight may vary depending on how it is consumed: more weight gain is seen when cheese is accompanied by refined carbohydrates, and less weight gain or even relative weight loss when cheese replaces refined carbohydrates.29”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
In the citing paper
“Yogurt appears protective against long-term weight gain,28, 29, 51 although when sugar-sweetened, approximately half the benefit appears lost.29”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
In the citing paper
“For long-term weight maintenance, the fat content of foods is a poor metric for differentiating protective vs. harmful effects.28, 29, 51”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
In the citing paper
“While unprocessed red meats and butter may be relatively neutral for CHD, no studies demonstrate appreciable benefits, all meats appear to increase diabetes, and processed meats are strongly linked to CHD (see Meats, above).20, 29, 173, 178”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [29]
In the citing paper
“Despite their high energy density, nuts do not contribute to weight gain, changes in waist circumference, or obesity perhaps owing to their satiating effects and increased fecal energy losses. (215,216).”
From Food Consumption and its Impact on Cardiovascular Disease: Importance of Solutions Focused on the Globalized Food System (2015) · cites this paper as [216]
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Citations
Cites
Reproducibility and validity of a semiquantitative food frequency questionnaire
WILLETT, W. C., SAMPSON, L., STAMPFER, M. J., ROSNER, B., BAIN, C., WITSCHI, J., HENNEKENS, C. H., & SPEIZER, F. E. (1985) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114086 · Cited by 4,274
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-citationNasir, O. (2013) · Kidney & Blood Pressure Research · doi:10.1159/000350152 · Cited by 2,331
Waist circumference and not body mass index explains obesity-related health risk
Janssen, I., Katzmarzyk, P. T., & Ross, R. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/79.3.379 · Cited by 2,009
International Tables of Glycemic Index and Glycemic Load Values: 2008
Atkinson, F. S., Foster-Powell, K., & Brand-Miller, J. C. (2008) · Diabetes Care · doi:10.2337/dc08-1239 · Cited by 1,965
Dietary Fiber, Glycemic Load, and Risk of Non—insulin-dependent Diabetes Mellitus in Women
Salmerón, J. (1997) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1997.03540300040031 · Cited by 1,804
Ludwig (2002) · doi:10.1001/jama.287.18.2414 · Cited by 1,775
Self-citationDietary Guidelines for Americans, 2010
Marshall, T. A. (2011) · The Journal of the American Dental Association · doi:10.14219/jada.archive.2011.0248 · Cited by 1,401
Houston, D. K., Nicklas, B. J., Ding, J., Harris, T. B., Tylavsky, F. A., Newman, A. B., Lee, J. S., Sahyoun, N. R., Visser, M., & Kritchevsky, S. B. (2008) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/87.1.150 · Cited by 1,214
Quantification of the effect of energy imbalance on bodyweight
Hall, K. D., Sacks, G., Chandramohan, D., Chow, C. C., Wang, Y. C., Gortmaker, S. L., & Swinburn, B. A. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60812-x · Cited by 1,165
Salvini, S., Hunter, D. J., SAMPSON, L., Stampfer, M. J., Colditz, G. A., ROSNER, B. A., & Willett, W. C. (1989) · International Journal of Epidemiology · doi:10.1093/ije/18.4.858 · Cited by 1,038
Self-citationMcGuire, S. (2011) · Advances in Nutrition · doi:10.3945/an.111.000430 · Cited by 1,029
Validity of Self-Reported Waist and Hip Circumferences in Men and Women
Rimm, E. B., Stampfer, M. J., Colditz, G. A., Chute, C. G., Litin, L. B., & Willett, W. C. (1990) · Epidemiology · doi:10.1097/00001648-199011000-00009 · Cited by 1,015
Self-citationVillareal, D. T., Apovian, C. M., Kushner, R. F., & Klein, S. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/82.5.923 · Cited by 880
Diets with high or low protein content and glycemic index for weight-loss maintenance
Larsen, T. M., Dalskov, S.-M., van Baak, M., Jebb, S. A., Papadaki, A., Pfeiffer, A. F. H., Martinez, J. A., Handjieva-Darlenska, T., Kunešová, M., Pihlsgård, M., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1007137 · Cited by 843
Liu, S., Willett, W. C., Manson, J. E., Hu, F. B., Rosner, B., & Colditz, G. (2003) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/78.5.920 · Cited by 787
Self-citationDietary protein: its role in satiety, energetics, weight loss and health.
Westerterp-Plantenga, M. S., Lemmens, S. G., & Westerterp, K. R. (2012) · British Journal of Nutrition · doi:10.1017/s0007114512002589 · Cited by 443 · cited 1×
“The interactions of protein-rich and carbohydrate-rich foods could be especially relevant for long-term weight gain (4–7): protein has been considered potentially protective against obesity (8), whereas high–glycemic index (GI)(5) starches, refined grains, and sugars may be especially adverse (4–6) due to the greater…”
BackgroundEffects of Dietary Composition on Energy Expenditure During Weight-Loss Maintenance
Ebbeling, C. B., Swain, J. F., Feldman, H. A., Wong, W. W., Hachey, D. L., Garcia-Lago, E., & Ludwig, D. S. (2012) · JAMA · doi:10.1001/jama.2012.6607 · Cited by 431
Self-citationChanges in whole-grain, bran, and cereal fiber consumption in relation to 8-y weight gain among men
Koh-Banerjee, P., FRANZ, M. M., Sampson, L., Liu, S., Jacobs, D. R., Spiegelman, D. L., Willett, W. C., & Rimm, E. B. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/80.5.1237 · Cited by 422
Self-citationLow glycaemic index or low glycaemic load diets for overweight and obesity
Thomas, D., Elliott, E. J., & Baur, L. A. (2007) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd005105.pub2 · Cited by 386
Fogelholm, M., Anderssen, S. A., Gunnarsdóttir, I., & Lahti‐Koski, M. (2012) · Food & Nutrition Research · doi:10.3402/fnr.v56i0.19103 · Cited by 234
The use of glycaemic index tables to predict glycaemic index of composite breakfast meals
Flint, A., Møller, B. K., Raben, A., Pedersen, D., Tetens, I., Holst, J. J., & Astrup, A. (2004) · British Journal of Nutrition · doi:10.1079/bjn20041124 · Cited by 202
Koh-Banerjee, P., & Rimm, E. B. (2003) · Proceedings of The Nutrition Society · doi:10.1079/pns2002232 · Cited by 181
Self-citationJuanola‐Falgarona, M., Salas‐Salvadó, J., Ibarrola-Jurado, N., Rabassa, A., Díaz‐López, A., Guasch‐Ferré, M., Hernández‐Alonso, P., Balanza, R., & Bulló, M. (2014) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.081216 · Cited by 160
Application of glycemic index to mixed meals
Chew, I., Brand-Miller, J. C., Thorburn, A. W., & Truswell, A. S. (1988) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/47.1.53 · Cited by 146
Effects of dietary glycemic index on brain regions related to reward and craving in men
Lennerz, B. S., Alsop, D. C., Holsen, L. M., Stern, E., Rojas, R., Ebbeling, C. B., Goldstein, J. M., & Ludwig, D. S. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.064113 · Cited by 140
Self-citationAller, E. E. J. G., Larsen, T. M., Claus, H., Lindroos, A. K., Kafatos, A., Pfeiffer, A., Martinez, J. A., Handjieva-Darlenska, T., Kunesova, M., Stender, S., et al. (2014) · International Journal of Obesity · doi:10.1038/ijo.2014.52 · Cited by 121
Wang, H., Troy, L. M., Rogers, G. T., Fox, C. S., McKeown, N. M., Meigs, J. B., & Jacques, P. F. (2014) · International Journal of Obesity · doi:10.1038/ijo.2013.78 · Cited by 115
Hare‐Bruun, H., Flint, A., & Heitmann, B. L. (2006) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.4.871 · Cited by 109
Smith, J. D., Hou, T., Hu, F. B., Rimm, E. B., Spiegelman, D. L., Willett, W. C., & Mozaffarian, D. (2015) · Journal of Nutrition · doi:10.3945/jn.115.214171 · Cited by 78
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Longitudinal evaluation of milk type consumed and weight status in preschoolers
Scharf, R. J., Demmer, R. T., & DeBoer, M. D. (2013) · Archives of Disease in Childhood · doi:10.1136/archdischild-2012-302941 · Cited by 70
Simulated validation of a brief food frequency questionnaire
Feskanich, D., Marshall, J. R., Rimm, E. B., Litin, L. B., & Willett, W. C. (1994) · Annals of Epidemiology · doi:10.1016/1047-2797(94)90095-7 · Cited by 56
Self-citationEsfahani, A., Wong, J. M., Mirrahimi, A., Villa, C. R., & Kendall, C. W. C. (2011) · IUBMB Life · doi:10.1002/iub.418 · Cited by 56
Smith, J. D., Hou, T., Hu, F. B., Rimm, E. B., Spiegelman, D. L., Willett, W. C., & Mozaffarian, D. (2013) · Circulation · doi:10.1161/circ.127.suppl_12.ap091 · Cited by 2
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Metadata
- Authors
- Smith, J. D., Hou, T., Ludwig, D. S., Rimm, E. B., Willett, W., Hu, F. B., & Mozaffarian, D.
- Affiliations
- Tufts University (US)
- Corresponding author
- Smith, Jessica D
- ORCID
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2015-06
- Volume
- 101
- Issue
- 6
- Pages
- 1216-1224
- ISSN
- 0002-9165 (ISSN-L)
- PMC
- PMC4441808
- OpenAlex
- W2109060632
- Cited by
- 129
- References
- 36
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 14 · 2023: 9 · 2022: 11 · 2021: 8 · 2020: 8 · 2019: 18 · 2018: 17 · 2017: 13 · 2016: 13 · 2015: 7
- FWCI
- 17.83
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Funders
- Canadian Institutes of Health Research
- National Heart, Lung and Blood Institute (R01 HL115189, DM)
- NIH (P01 CA87969)
- Nurses’ Health Study (UM1 CA176726)
- Nurses’ Health Study II (UM1 CA167552)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Health Sciences › Medicine › Physiology (medical) › Diet and metabolism studies
- Keywords
- protein-rich foods, glycemic load, carbohydrate intake, long-term weight change, weight gain, cheese intake, meat consumption, Fabaceae, nuts, dairy products, dietary habits, weight stability
- MeSH terms
- Adult, Blood Glucose, Dairy Products, Diet, Dietary Carbohydrates, Dietary Proteins, Female, Follow-Up Studies, Humans, Life Style, Male, Meat, Middle Aged, Prospective Studies, Weight Gain, Weight Loss, Body Mass Index, Glycemic Index
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