4.7 Article

Animal-based food choice and associations with long-term weight maintenance and metabolic health after a large and rapid weight loss: The PREVIEW study

期刊

CLINICAL NUTRITION
卷 41, 期 4, 页码 817-828

出版社

CHURCHILL LIVINGSTONE
DOI: 10.1016/j.clnu.2022.02.002

关键词

Cardiovascular disease; Obesity; Poultry; Red meat; Processed meat; Type 2 diabetes

资金

  1. EU [312057]
  2. National Health and Medical Research Council-EU Collaborative Grant, AUS 8 [1067711]
  3. New Zealand Health Research Council [14/191]
  4. University of Auckland Faculty Research Development Fund
  5. Juho Vainio Foundation
  6. Academy of Finland [272376, 314383, 266286, 314135]
  7. Finnish Medical Foundation
  8. Novo Nordisk Foundation
  9. Finnish Diabetes Research Foundation
  10. Gyllenberg Foundation
  11. University of Helsinki
  12. Government Research Funds for Helsinki University Hospital (FIN)
  13. Jenny and Antti Wihuri Foundation
  14. Emil Aaltonen Foundation
  15. China Scholarship Council
  16. Academy of Finland (AKA) [314135] Funding Source: Academy of Finland (AKA)

向作者/读者索取更多资源

The study found that higher intake of processed meat may be associated with greater weight regain and more adverse glycaemic and cardiometabolic risk factors. However, replacing processed meat with other high-protein foods may improve weight maintenance and metabolic health.
Background & aims: Low-energy diet replacement is an effective tool to induce large and rapid weight loss and improve metabolic health, but in the long-term individuals often experience significant weight regain. Little is known about the role of animal-based foods in weight maintenance and metabolic health. We aimed to examine longitudinal associations of animal-based foods with weight maintenance and glycaemic and cardiometabolic risk factors. We also modelled replacement of processed meat with other high-protein foods. Methods: In this secondary analysis, longitudinal data were analysed from 688 adults (26-70 years) with overweight and prediabetes after 8-week low-energy diet-induced weight loss (>= 8% of initial body weight) in a 3-year, multi-centre, diabetes prevention study (PREVIEW). Animal-based food consumption, including unprocessed red meat, processed red meat, poultry, dairy products, fish and seafood, and eggs, was repeatedly assessed using 4-day food records. Multi-adjusted linear mixed models and isoenergetic substitution models were used to examine the potential associations. Results: The available-case analysis showed that each 10-g increment in processed meat, but not total meat, unprocessed red meat, poultry, dairy products, or eggs, was positively associated with weight regain (0.17 kg . year(-1), 95% CI 0.10, 0.25, P < 0.001) and increments in waist circumference, HbA(1c), and triacylglycerols. The associations of processed meat with HbAic or triacylglycerols disappeared when adjusted for weight change. Fish and seafood consumption was inversely associated with triacylglycerols and triacylglycerol-glucose index, independent of weight change. Modelled replacement of processed meat with isoenergetic (250-300 kJ . day(-1) or 60-72 kcal . day(-1)) dairy, poultry, fish and seafood, grains, or nuts was associated with -0.59 (95% CI -0.77, -0.41), -0.66 (95% CI -0.93, -0.40), -0.58 (95% CI -0.88, -0.27), and -0.69 (95% CI -0.96, -0.41) kg . day(-1) of weight regain, respectively (all P < 0.001) and significant improvements in HbA(1c), and triacylglycerols. Conclusions: Higher intake of processed meat, but not total or unprocessed red meat, poultry, dairy products, or eggs may be associated with greater weight regain and more adverse glycaemic and cardiometabolic risk factors. Replacing processed meat with a wide variety of high-protein foods, including unprocessed red meat, poultry, dairy products, fish, eggs, grains, and nuts, could improve weight maintenance and metabolic health after rapid weight loss. (C) 2022 The Author(s). Published by Elsevier Ltd.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据