Adjustment for total energy intake in epidemiologic studies - PubMed (original) (raw)
Review
. 1997 Apr;65(4 Suppl):1220S-1228S; discussion 1229S-1231S.
doi: 10.1093/ajcn/65.4.1220S.
Affiliations
- PMID: 9094926
- DOI: 10.1093/ajcn/65.4.1220S
Review
Adjustment for total energy intake in epidemiologic studies
W C Willett et al. Am J Clin Nutr. 1997 Apr.
Abstract
In epidemiologic studies, total energy intake is often related to disease risk because of associations between physical activity or body size and the probability of disease. In theory, differences in disease incidence may also be related to metabolic efficiency and therefore to total energy intake. Because intakes of most specific nutrients, particularly macronutrients, are correlated with total energy intake, they may be noncausally associated with disease as a result of confounding by total energy intake. In addition, extraneous variation in nutrient intake resulting from variation in total energy intake that is unrelated to disease risk may weaken associations. Furthermore, individuals or populations must alter their intake of specific nutrients primarily by altering the composition of their diets rather than by changing their total energy intake, unless physical activity or body weight are changed substantially. Thus, adjustment for total energy intake is usually appropriate in epidemiologic studies to control for confounding, reduce extraneous variation, and predict the effect of dietary interventions. Failure to account for total energy intake can obscure associations between nutrient intakes and disease risk or even reverse the direction of association. Several disease-risk models and formulations of these models are available to account for energy intake in epidemiologic analyses, including adjustment of nutrient intakes for total energy intake by regression analysis and addition of total energy to a model with the nutrient density (nutrient divided by energy).
Similar articles
- Total energy intake: implications for epidemiologic analyses.
Willett W, Stampfer MJ. Willett W, et al. Am J Epidemiol. 1986 Jul;124(1):17-27. doi: 10.1093/oxfordjournals.aje.a114366. Am J Epidemiol. 1986. PMID: 3521261 Review. - Total Energy Intake: Implications for Epidemiologic Analyses.
McCullough LE, Byrd DA. McCullough LE, et al. Am J Epidemiol. 2023 Nov 3;192(11):1801-1805. doi: 10.1093/aje/kwac071. Am J Epidemiol. 2023. PMID: 35419586 Review. - Intake of total and added sugars and nutrient dilution in Australian children and adolescents.
Louie JC, Tapsell LC. Louie JC, et al. Br J Nutr. 2015 Dec 14;114(11):1875-86. doi: 10.1017/S0007114515003542. Epub 2015 Sep 28. Br J Nutr. 2015. PMID: 26411397 - Interpretation of energy adjustment models for nutritional epidemiology.
Kipnis V, Freedman LS, Brown CC, Hartman A, Schatzkin A, Wacholder S. Kipnis V, et al. Am J Epidemiol. 1993 Jun 15;137(12):1376-80. doi: 10.1093/oxfordjournals.aje.a116647. Am J Epidemiol. 1993. PMID: 8333419 - Energy density of diets reported by American adults: association with food group intake, nutrient intake, and body weight.
Kant AK, Graubard BI. Kant AK, et al. Int J Obes (Lond). 2005 Aug;29(8):950-6. doi: 10.1038/sj.ijo.0802980. Int J Obes (Lond). 2005. PMID: 15917854
Cited by
- Association between dietary fiber intake and suicidal ideation: a cross-sectional survey.
Huang H, Fu J, Lu K, Fu Y, Zhuge P, Yao Y. Huang H, et al. Front Nutr. 2024 Oct 30;11:1465736. doi: 10.3389/fnut.2024.1465736. eCollection 2024. Front Nutr. 2024. PMID: 39539370 Free PMC article. - Association between fish consumption and mortality in the E3N French women's cohort.
Ba C, Marques C, Frenoy P, Ren X, Severi G, Mancini FR. Ba C, et al. Front Nutr. 2024 Oct 30;11:1462710. doi: 10.3389/fnut.2024.1462710. eCollection 2024. Front Nutr. 2024. PMID: 39539364 Free PMC article. - Food consumption by degree of food processing and risk of type 2 diabetes mellitus: a prospective cohort analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC).
Dicken SJ, Dahm CC, Ibsen DB, Olsen A, Tjønneland A, Louati-Hajji M, Cadeau C, Marques C, Schulze MB, Jannasch F, Baldassari I, Manfredi L, Santucci de Magistris M, Sánchez MJ, Castro-Espin C, Palacios DR, Amiano P, Guevara M, van der Schouw YT, Boer JMA, Verschuren WMM, Sharp SJ, Forouhi NG, Wareham NJ, Vamos EP, Chang K, Vineis P, Heath AK, Gunter MJ, Nicolas G, Weiderpass E, Huybrechts I, Batterham RL. Dicken SJ, et al. Lancet Reg Health Eur. 2024 Sep 16;46:101043. doi: 10.1016/j.lanepe.2024.101043. eCollection 2024 Nov. Lancet Reg Health Eur. 2024. PMID: 39529810 Free PMC article. - Association between snack intake behaviors of children and neighboring women: A population-based cross-sectional analysis with spatial regionalization.
Yamamoto E, Takagi D, Hashimoto H. Yamamoto E, et al. SSM Popul Health. 2024 Oct 13;28:101720. doi: 10.1016/j.ssmph.2024.101720. eCollection 2024 Dec. SSM Popul Health. 2024. PMID: 39506981 Free PMC article. - Racial and Ethnic Disparities in Dietary Intake and Quality Among United States Veterans.
Nguyen XT, Li Y, Whitbourne SB, Djousse L, Wang DD, Ivey K, Willett WC, Gaziano JM, Cho K, Hu FB; VA Million Veteran Program. Nguyen XT, et al. Curr Dev Nutr. 2024 Sep 29;8(10):104461. doi: 10.1016/j.cdnut.2024.104461. eCollection 2024 Oct. Curr Dev Nutr. 2024. PMID: 39493575 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical