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Impact of weight loss and maintenance with ad libitum diets varying in protein and glycemic index content on metabolic syndrome

A. Papadaki, M. Linardakis, M. Plada, TM. Larsen, CT. Damsgaard, MA. van Baak, S. Jebb, AF. Pfeiffer, JA. Martinez, T. Handjieva-Darlenska, M. Kunešová, C. Holst, WH. Saris, A. Astrup, A. Kafatos,

. 2014 ; 30 (4) : 410-7.

Language English Country United States

Document type Journal Article, Randomized Controlled Trial, Research Support, Non-U.S. Gov't

E-resources Online Full text

NLK ProQuest Central from 2003-01-01 to 2 months ago
Medline Complete (EBSCOhost) from 2012-09-01 to 2015-07-31
Nursing & Allied Health Database (ProQuest) from 2003-01-01 to 2 months ago
Health & Medicine (ProQuest) from 2003-01-01 to 2 months ago
Health Management Database (ProQuest) from 2003-01-01 to 2 months ago
Public Health Database (ProQuest) from 2003-01-01 to 2 months ago

OBJECTIVES: We investigated the effects of weight loss and maintenance with diets that varied with regard to protein content and glycemic index (GI) on metabolic syndrome (MetSyn) status. METHODS: Secondary analyses were performed within the Diet, Obesity and Genes (DiOGenes) study (2006-2008), a randomized controlled dietary intervention. Nine hundred and thirty-eight overweight and obese adults from eight European countries entered an 8-wk low-calorie-diet period. Seven hundred and seventy-three adults who lost at least 8% of their body weights were randomized to one of five ad libitum diets for 6 mo: 1) low-protein (LP)/low-GI (LGI); 2) LP/high-GI (HGI); 3) high-protein (HP)/LGI; 4) HP/HGI; and 5) control diet. MetSyn prevalence and a standardized MetSyn score were assessed at baseline, after the low-calorie diet, and after the intervention. RESULTS: Weight loss among participants while on the low-calorie diet significantly reduced MetSyn prevalence (33.9% versus 15.9%; P < 0.001) and MetSyn score (-1.48 versus -4.45; P < 0.001). During weight maintenance, significant changes in MetSyn score were observed between the groups, with the highest increase detected in the LP/HGI group (P = 0.039, partial η(2) = 0.023). Protein, GI, and their interaction did not have isolated effects on study outcomes. CONCLUSIONS: Neither protein nor GI affected MetSyn status in this sample of European overweight and obese adults. However, a diet with a combination of an increased protein-to-carbohydrate ratio with low-GI foods had beneficial effects on MetSyn factors.

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$a OBJECTIVES: We investigated the effects of weight loss and maintenance with diets that varied with regard to protein content and glycemic index (GI) on metabolic syndrome (MetSyn) status. METHODS: Secondary analyses were performed within the Diet, Obesity and Genes (DiOGenes) study (2006-2008), a randomized controlled dietary intervention. Nine hundred and thirty-eight overweight and obese adults from eight European countries entered an 8-wk low-calorie-diet period. Seven hundred and seventy-three adults who lost at least 8% of their body weights were randomized to one of five ad libitum diets for 6 mo: 1) low-protein (LP)/low-GI (LGI); 2) LP/high-GI (HGI); 3) high-protein (HP)/LGI; 4) HP/HGI; and 5) control diet. MetSyn prevalence and a standardized MetSyn score were assessed at baseline, after the low-calorie diet, and after the intervention. RESULTS: Weight loss among participants while on the low-calorie diet significantly reduced MetSyn prevalence (33.9% versus 15.9%; P < 0.001) and MetSyn score (-1.48 versus -4.45; P < 0.001). During weight maintenance, significant changes in MetSyn score were observed between the groups, with the highest increase detected in the LP/HGI group (P = 0.039, partial η(2) = 0.023). Protein, GI, and their interaction did not have isolated effects on study outcomes. CONCLUSIONS: Neither protein nor GI affected MetSyn status in this sample of European overweight and obese adults. However, a diet with a combination of an increased protein-to-carbohydrate ratio with low-GI foods had beneficial effects on MetSyn factors.
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$a Linardakis, Manolis $u Department of Social Medicine, Preventive Medicine & Nutrition Clinic, University of Crete, Heraklion, Crete, Greece.
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$a Plada, Maria $u Department of Social Medicine, Preventive Medicine & Nutrition Clinic, University of Crete, Heraklion, Crete, Greece.
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$a Larsen, Thomas M $u Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Denmark.
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$a Damsgaard, Camilla T $u Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Denmark.
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$a van Baak, Marleen A $u Department of Human Biology, Nutrition and Toxicology Research Institute Maastricht, Maastricht University Medical Centre, The Netherlands.
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$a Jebb, Susan $u MRC Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge, UK.
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$a Pfeiffer, Andreas F H $u Department of Clinical Nutrition, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany, and Charité Universitätsmedizin Berlin, Department of Endocrinology, Diabetes and Nutrition, Berlin, Germany.
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$a Martinez, J Alfredo $u Department of Physiology and Nutrition, CIBERobn, University of Navarra, Pamplona, Spain.
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$a Kunešová, Marie $u Obesity Management Centre, Institute of Endocrinology, Prague, Czech Republic.
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$a Holst, Claus $u Institute of Preventive Medicine, Copenhagen University Hospitals, Copenhagen, Denmark.
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$a Saris, Wim H M $u Department of Human Biology, Nutrition and Toxicology Research Institute Maastricht, Maastricht University Medical Centre, The Netherlands.
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$a Kafatos, Anthony $u Department of Social Medicine, Preventive Medicine & Nutrition Clinic, University of Crete, Heraklion, Crete, Greece.
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