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Individual- and supply-level macronutrient intakes are well correlated over a 50-year period (1961-2011) in 18 countries in Asia, North America, and Europe.
Sikorski, Claudia; Miller, Victoria; Dehghan, Mahshid; Paré, Guillaume; Teo, Koon; Anand, Sonia S; Yusuf, Salim; Mente, Andrew.
Afiliação
  • Sikorski C; Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, L8L 2X2, Canada; Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, L8S 4L8, Canada. Electronic address: sikorsc@mcmaster.ca.
  • Miller V; Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, L8L 2X2, Canada; Department of Medicine, McMaster University, Hamilton, Ontario, L8S 4L8, Canada.
  • Dehghan M; Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, L8L 2X2, Canada.
  • Paré G; Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, L8L 2X2, Canada; Department of Medicine, McMaster University, Hamilton, Ontario, L8S 4L8, Canada; The Thrombosis and Atherosclerosis Research Institute (TaARI), Department of Medicine, David Br
  • Teo K; Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, L8L 2X2, Canada; Department of Medicine, McMaster University, Hamilton, Ontario, L8S 4L8, Canada.
  • Anand SS; Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, L8L 2X2, Canada; Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, L8S 4L8, Canada; Department of Medicine, McMaster University, Hamilton, Onta
  • Yusuf S; Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, L8L 2X2, Canada; Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, L8S 4L8, Canada.
  • Mente A; Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Ontario, L8L 2X2, Canada; Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, L8S 4L8, Canada.
Nutr Res ; 119: 109-118, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37801760
ABSTRACT
Reliable information on dietary trends is essential. We compared individual-level dietary estimates for total energy, carbohydrate, fat, and protein intake over time with national supply data from the Global Expanded Nutrient Supply Model (186 paired estimates from 1961 to 2011, 18 countries). We hypothesized that supply data would overestimate individual measures and that the two measures would be weakly correlated. Individual- and supply-level estimates were compared using Spearman correlation coefficients and linear mixed-effect models were used to estimate the differences between measures. Overall, the correlations between individual- and supply-level measures were moderate for energy (rs = 0.34) and carbohydrate (rs = 0.39), strong for fat (rs = 0.85), and protein (rs = 0.69). Trends in total energy measured by individual-level surveys and total energy supply were positively correlated in 38.9% of countries, whereas trends in macronutrients aligned between estimates in most countries. Supply-level dietary data overestimated individual-level intakes, especially in higher income countries in Europe and in the United States. In the United States, supply-level data exceeded individual-level estimates by 26.3% to 29.9% for energy, carbohydrate, and fat, whereas protein estimates were similar between measures. In Europe, supply-level estimates overestimated individual-level intake by 19.9% for energy, 17.0% for carbohydrate, 13.7% for fat, and 7.7% for protein, whereas estimates for energy and macronutrients were similar in Asia. In Asia and lower income countries, our findings generally support the use of supply-level data in the absence of individual-level data, though this finding may be related to smaller sample size and differences in underlying national statistics that inform supply data.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ingestão de Energia / Ingestão de Alimentos Tipo de estudo: Prognostic_studies País/Região como assunto: America do norte / Asia / Europa Idioma: En Revista: Nutr Res Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ingestão de Energia / Ingestão de Alimentos Tipo de estudo: Prognostic_studies País/Região como assunto: America do norte / Asia / Europa Idioma: En Revista: Nutr Res Ano de publicação: 2023 Tipo de documento: Article