ArticleEuropean journal of nutrition2016
Main nutrient patterns are associated with prospective weight change in adults from 10 European countries.
Article in European journal of nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- A Systematic Review of Methods to Predict Weight Trajectories in Health Economic Models of Behavioral Weight-Management Programs: The Potential Role of Psychosocial Factors.Medical decision making : an international journal of the Society for Medical Decision Making · 2020Pooled it
- Long-term weight loss trajectories following participation in a randomised controlled trial of a weight management programme for men delivered through professional football clubs: a longitudinal cohort study and economic evaluation.The international journal of behavioral nutrition and physical activity · 2018Trial
- Nutrient patterns and their relation to obesity and metabolic syndrome in Iranian overweight and obese adult women.Eating and weight disorders : EWD · 2022Article
- Framework of Methodology to Assess the Link between A Posteriori Dietary Patterns and Nutritional Adequacy: Application to Pregnancy.Metabolites · 2022Article
- Nutrient pattern analysis of mineral based, simple sugar based, and fat based diets and risk of metabolic syndrome: a comparative nutrient panel.BMC endocrine disorders · 2022Article
- Association of dietary and nutrient patterns with systemic inflammation in community dwelling adults.Frontiers in nutrition · 2022Article
- A nutrient pattern characterized by vitamin A, C, B6, potassium, and fructose is associated with reduced risk of insulin-related disorders: A prospective study among participants of Tehran lipid and glucose study.Diabetology & metabolic syndrome · 2021Article
- Nutrient patterns and cardiometabolic risk factors among Iranian adults: Tehran lipid and glucose study.BMC public health · 2020Article
- Is dietary vitamin B intake associated with weight disorders in children and adolescents? The weight disorders survey of the CASPIAN-IV Study.Health promotion perspectives · 2019Article
- Dietary amino acids and incidence of hypertension: A principle component analysis approach.Scientific reports · 2017Article
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Authors and funding
48 authors at 20 institutions in 13 countries.
Funding
Abstract
purposeVarious food patterns have been associated with weight change in adults, but it is unknown which combinations of nutrients may account for such observations. We investigated associations between main nutrient patterns and prospective weight change in adults.
methodsThis study includes 235,880 participants, 25-70 years old, recruited between 1992 and 2000 in 10 European countries. Intakes of 23 nutrients were estimated from country-specific validated dietary questionnaires using the harmonized EPIC Nutrient DataBase. Four nutrient patterns, explaining 67 % of the total variance of nutrient intakes, were previously identified from principal component analysis. Body weight was measured at recruitment and self-reported 5 years later. The relationship between nutrient patterns and annual weight change was examined separately for men and women using linear mixed models with random effect according to center controlling for confounders.
resultsMean weight gain was 460 g/year (SD 950) and 420 g/year (SD 940) for men and women, respectively. The annual differences in weight gain per one SD increase in the pattern scores were as follows: principal component (PC) 1, characterized by nutrients from plant food sources, was inversely associated with weight gain in men (-22 g/year; 95 % CI -33 to -10) and women (-18 g/year; 95 % CI -26 to -11). In contrast, PC4, characterized by protein, vitamin B2, phosphorus, and calcium, was associated with a weight gain of +41 g/year (95 % CI +2 to +80) and +88 g/year (95 % CI +36 to +140) in men and women, respectively. Associations with PC2, a pattern driven by many micro-nutrients, and with PC3, a pattern driven by vitamin D, were less consistent and/or non-significant.
conclusionsWe identified two main nutrient patterns that are associated with moderate but significant long-term differences in weight gain in adults.
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