Literature DB >> 19573053

Dietary strategy to manipulate ad libitum macronutrient intake, and glycaemic index, across eight European countries in the Diogenes Study.

C S Moore1, A K Lindroos, M Kreutzer, T M Larsen, A Astrup, M A van Baak, T Handjieva-Darlenska, P Hlavaty, A Kafatos, A Kohl, J A Martinez, S Monsheimer, S A Jebb.   

Abstract

The aim of this study was to describe the development and implementation of a multifaceted, low-fat, weight-loss strategy for a Pan-European randomized controlled dietary intervention study, Diogenes. There were 891 families with at least one overweight/obese parent who underwent screening. Eligible, overweight/obese adults followed an 8-week weight-loss phase with a fixed low-energy diet (800 kcal). On attaining weight loss of > or = 8%, families were randomized to a 6- or 12-month low-fat (25-30%E) diet either based on national dietary guidelines or one of four interventions: low protein (LP)/low glycaemic index (LGI), LP/high GI (HGI), high protein (HP)/LGI and HP/HGI. The impact of each diet in preventing weight (re)gain was tested. A points-based system was used to manipulate dietary protein and carbohydrate. Manipulating carbohydrate composition involved substituting foods with a relatively high or low GI. A questionnaire was designed and completed by study investigators, providing feedback on the dietary intervention methods used to inform future interventions. The points system allowed macronutrient manipulations without compromising dietary flexibility or enforcing energy restrictions. Reported centre/participant differences in the ease of implementing the intervention may reflect dietary diversity and personal preferences for specific weight-management strategies. The points system provides a useful starting point for designing improved experimental paradigms for the manipulation of dietary intake in future trials.

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Year:  2009        PMID: 19573053     DOI: 10.1111/j.1467-789X.2009.00602.x

Source DB:  PubMed          Journal:  Obes Rev        ISSN: 1467-7881            Impact factor:   9.213


  21 in total

1.  Assessment of dietary exposure related to dietary GI and fibre intake in a nutritional metabolomic study of human urine.

Authors:  Lone G Rasmussen; Hanne Winning; Francesco Savorani; Christian Ritz; Søren B Engelsen; Arne Astrup; Thomas M Larsen; Lars O Dragsted
Journal:  Genes Nutr       Date:  2011-10-09       Impact factor: 5.523

Review 2.  Impact of postprandial glycaemia on health and prevention of disease.

Authors:  E E Blaak; J-M Antoine; D Benton; I Björck; L Bozzetto; F Brouns; M Diamant; L Dye; T Hulshof; J J Holst; D J Lamport; M Laville; C L Lawton; A Meheust; A Nilson; S Normand; A A Rivellese; S Theis; S S Torekov; S Vinoy
Journal:  Obes Rev       Date:  2012-07-11       Impact factor: 9.213

3.  Weight loss maintenance in overweight subjects on ad libitum diets with high or low protein content and glycemic index: the DIOGENES trial 12-month results.

Authors:  E E J G Aller; T M Larsen; H Claus; A K Lindroos; A Kafatos; A Pfeiffer; J A Martinez; T Handjieva-Darlenska; M Kunesova; S Stender; W H M Saris; A Astrup; M A van Baak
Journal:  Int J Obes (Lond)       Date:  2014-03-28       Impact factor: 5.095

4.  Effect of a high-protein diet on maintenance of blood pressure levels achieved after initial weight loss: the DiOGenes randomized study.

Authors:  M F Engberink; J M Geleijnse; S J L Bakker; T M Larsen; T Handjieva-Darlesnka; A Kafatos; J A Martinez; A F H Pfeiffer; M Kunešová; S A Jebb; C Holst; A Astrup; W H M Saris; E J Brink; M A van Baak
Journal:  J Hum Hypertens       Date:  2014-04-24       Impact factor: 3.012

5.  Fatty acid composition of adipose tissue triglycerides after weight loss and weight maintenance: the DIOGENES study.

Authors:  M Kunešová; P Hlavatý; E Tvrzická; B Staňková; P Kalousková; N Viguerie; T M Larsen; M A van Baak; S A Jebb; J A Martinez; A F H Pfeiffer; A Kafatos; T Handjieva-Darlenska; M Hill; D Langin; A Zák; A Astrup; W H M Saris
Journal:  Physiol Res       Date:  2012-10-25       Impact factor: 1.881

6.  Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index.

Authors:  Ping Wang; Claus Holst; Malene R Andersen; Arne Astrup; Freek G Bouwman; Sanne van Otterdijk; Will K W H Wodzig; Marleen A van Baak; Thomas M Larsen; Susan A Jebb; Anthony Kafatos; Andreas F H Pfeiffer; J Alfredo Martinez; Teodora Handjieva-Darlenska; Marie Kunesova; Wim H M Saris; Edwin C M Mariman
Journal:  PLoS One       Date:  2011-02-14       Impact factor: 3.240

7.  Diets with high or low protein content and glycemic index for weight-loss maintenance.

Authors:  Thomas Meinert Larsen; Stine-Mathilde Dalskov; Marleen van Baak; Susan A Jebb; Angeliki Papadaki; Andreas F H Pfeiffer; J Alfredo Martinez; Teodora Handjieva-Darlenska; Marie Kunešová; Mats Pihlsgård; Steen Stender; Claus Holst; Wim H M Saris; Arne Astrup
Journal:  N Engl J Med       Date:  2010-11-25       Impact factor: 91.245

8.  Dietary macronutrients and food consumption as determinants of long-term weight change in adult populations: a systematic literature review.

Authors:  Mikael Fogelholm; Sigmund Anderssen; Ingibjörg Gunnarsdottir; Marjaana Lahti-Koski
Journal:  Food Nutr Res       Date:  2012-08-13       Impact factor: 3.894

9.  Assessment of the effect of high or low protein diet on the human urine metabolome as measured by NMR.

Authors:  Lone G Rasmussen; Hanne Winning; Francesco Savorani; Henrik Toft; Thomas M Larsen; Lars O Dragsted; Arne Astrup; Søren B Engelsen
Journal:  Nutrients       Date:  2012-02-20       Impact factor: 6.706

10.  Caloric restriction induces changes in insulin and body weight measurements that are inversely associated with subsequent weight regain.

Authors:  Monica H T Wong; Claus Holst; Arne Astrup; Teodora Handjieva-Darlenska; Susan A Jebb; Anthony Kafatos; Marie Kunesova; Thomas M Larsen; J Alfredo Martinez; Andreas F H Pfeiffer; Marleen A van Baak; Wim H M Saris; Paul D McNicholas; David M Mutch
Journal:  PLoS One       Date:  2012-08-08       Impact factor: 3.240

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