1
|
Nicholls SJ, Tofé S, le Roux CW, D'Alessio DA, Wiese RJ, Pavo I, Brown K, Weerakkody GJ, Zeytinoglu M, Romera IC. Reduction of prevalence of patients meeting the criteria for metabolic syndrome with tirzepatide: a post hoc analysis from the SURPASS Clinical Trial Program. Cardiovasc Diabetol 2024; 23:63. [PMID: 38341541 PMCID: PMC10859014 DOI: 10.1186/s12933-024-02147-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 01/29/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Metabolic syndrome is characterized as the co-occurrence of interrelated cardiovascular risk factors, including insulin resistance, hyperinsulinemia, abdominal obesity, dyslipidemia and hypertension. Once weekly tirzepatide is approved in the US and EU for the treatment of type 2 diabetes (T2D) and obesity. In the SURPASS clinical trial program for T2D, tirzepatide demonstrated greater improvements in glycemic control, body weight reduction and other cardiometabolic risk factors versus placebo, subcutaneous semaglutide 1 mg, insulin degludec, and insulin glargine. This post hoc analysis assessed the effect of tirzepatide use on the prevalence of patients meeting the criteria for metabolic syndrome across SURPASS 1-5. METHODS Metabolic syndrome was defined as having ≥ 3 of 5 criteria according to the US National Cholesterol Education Program: Adult Treatment Panel III. Analyses were based on on-treatment data at the primary endpoint from patients adherent to treatment (taking ≥ 75% study drug). A logistic regression model with metabolic syndrome status as the response variable, metabolic syndrome status at the baseline visit as an adjustment, and randomized treatment as fixed explanatory effect was used. The effect of tirzepatide use on the prevalence of patients meeting the criteria for metabolic syndrome by categorical weight loss, background medication and gender were assessed. RESULTS In SURPASS, the prevalence of patients meeting the criteria for metabolic syndrome at baseline was 67-88% across treatment groups with reductions at the primary endpoint to 38-64% with tirzepatide versus 64-82% with comparators. Reductions in the prevalence of patients meeting the criteria for metabolic syndrome was significantly greater with all tirzepatide doses versus placebo, semaglutide 1 mg, insulin glargine, and insulin degludec (p < 0.001). Individual components of metabolic syndrome were also reduced to a greater extent with tirzepatide vs comparators. Greater reductions in body weight were associated with greater reductions in the prevalence of patients meeting the criteria for metabolic syndrome and its individual components. Background SGLT2i or sulfonylurea use or gender did not impact the change in prevalence of patients meeting the criteria for metabolic syndrome. CONCLUSIONS In this post hoc analysis, tirzepatide at all doses studied was associated with a greater reduction in the prevalence of patients meeting the criteria for metabolic syndrome compared to placebo, semaglutide 1 mg, insulin degludec, and insulin glargine. Although more evidence is needed, these data would support greater potential improvement in cardiovascular risk factor profile with tirzepatide treatment in people across the continuum of T2D.
Collapse
Affiliation(s)
| | - Santiago Tofé
- Department of Endocrinology and Nutrition, University Hospital Son Espases, Palma, Spain
| | - Carel W le Roux
- Diabetes Complications Research Centre, Conway Institute, School of Medicine, University College Dublin, Dublin, Ireland
- Diabetes Research Centre, Ulster University, Coleraine, UK
| | - David A D'Alessio
- Division of Endocrinology, Department of Medicine, Duke Molecular Physiology Institute, Duke University, Durham, NC, USA
| | | | - Imre Pavo
- Eli Lilly Regional Operations GmbH, Vienna, Austria
| | | | | | | | - Irene C Romera
- Eli Lilly and Company, Avda. de La Industria 30, 28108, Alcobendas, Madrid, Spain.
| |
Collapse
|
2
|
Cambeses-Franco C, Gude F, Benítez-Estévez AJ, González-García S, Leis R, Sánchez-Castro J, Moreira MT, Feijoo G, Calvo-Malvar M. Traditional Atlantic Diet and Its Effect on Health and the Environment: A Secondary Analysis of the GALIAT Cluster Randomized Clinical Trial. JAMA Netw Open 2024; 7:e2354473. [PMID: 38324314 PMCID: PMC10851095 DOI: 10.1001/jamanetworkopen.2023.54473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 12/11/2023] [Indexed: 02/08/2024] Open
Abstract
Importance The universal call to action for healthier and more sustainable dietary choices is the framework of the United Nations's Sustainable Development Goals. The Atlantic diet, originating from the northwest of the Iberian Peninsula, represents an example of a traditional diet that aligns with these principles. Objective To explore a 6-month intervention based on the Atlantic diet's effects on metabolic and environmental health, assessing metabolic syndrome (MetS) incidence and the carbon footprint. Design, Setting, and Participants The Galician Atlantic Diet study was a 6-month randomized clinical trial designed to assess the effects of this regional traditional diet on families' eating habits. The study was conducted from March 3, 2014, to May 29, 2015, at a local primary health care center in the rural town of A Estrada in northwestern Spain and involved a multisectoral collaboration. Families were randomly selected from National Health System records and randomized 1:1 to an intervention or control group. This secondary analysis of the trial findings was performed between March 24, 2021, and November 7, 2023. Interventions Over 6 months, families in the intervention group received educational sessions, cooking classes, written supporting material, and foods characteristic of the Atlantic diet, whereas those randomized to the control group continued with their habitual lifestyle. Main Outcomes and Measures The main outcomes were MetS incidence, defined per National Cholesterol Education Program Adult Treatment Panel III guidelines, and carbon footprint emissions as an environmental metric using life cycle assessment with daily dietary intake as the functional unit. Results Initially, 250 families were randomized (574 participants; mean [SD] age, 46.8 [15.7] years; 231 males [40.2%] and 343 females [59.8%]). The intervention group included 126 families (287 participants) and the control group, 124 families (287 participants). Ultimately, 231 families completed the trial. The intervention significantly reduced the risk of incident cases of MetS (rate ratio, 0.32; 95% CI, 0.13-0.79) and had fewer MetS components (proportional odds ratio, 0.58; 95% CI, 0.42-0.82) compared with the control condition. The intervention group did not have a significantly reduced environmental impact in terms of carbon footprint emissions compared with the control group (-0.17 [95% CI, -0.46 to 0.12] kg CO2 equivalents/person/d). Conclusions and Relevance These findings provide important evidence that a family-focused dietary intervention based on a traditional diet can reduce the risk of incident MetS. Further research is needed to understand the underlying mechanisms and determine the generalizability to other populations, taking into account regional cultural and dietary variations. Trial Registration ClinicalTrials.gov Identifier: NCT02391701.
Collapse
Affiliation(s)
- Cristina Cambeses-Franco
- CRETUS Centre, Department of Chemical Engineering, School of Engineering, University of Santiago de Compostela, Spain
| | - Francisco Gude
- Concepción Arenal Primary Care Center, Department of Family and Community Medicine, University of Santiago de Compostela, Health Research Institute of Santiago de Compostela, Spain
| | | | - Sara González-García
- CRETUS Centre, Department of Chemical Engineering, School of Engineering, University of Santiago de Compostela, Spain
| | - Rosaura Leis
- Unit of Pediatric Gastroenterology, Hepatology and Nutrition, Pediatric Service, University Clinical Hospital of Santiago de Compostela, Spain
| | - Juan Sánchez-Castro
- A Estrada Primary Care Center, A Estrada, Pontevedra, Spain
- Health Research Institute of Santiago de Compostela, Spain
| | - María Teresa Moreira
- CRETUS Centre, Department of Chemical Engineering, School of Engineering, University of Santiago de Compostela, Spain
| | - Gumersindo Feijoo
- CRETUS Centre, Department of Chemical Engineering, School of Engineering, University of Santiago de Compostela, Spain
| | - Mar Calvo-Malvar
- Department of Laboratory Medicine, University Clinical Hospital of Santiago de Compostela, Spain
| |
Collapse
|
3
|
Wong ND, Sattar N. Cardiovascular risk in diabetes mellitus: epidemiology, assessment and prevention. Nat Rev Cardiol 2023; 20:685-695. [PMID: 37193856 DOI: 10.1038/s41569-023-00877-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/06/2023] [Indexed: 05/18/2023]
Abstract
Cardiovascular diseases (CVDs) are the leading causes of morbidity and mortality in individuals with type 2 diabetes mellitus (T2DM). Secular changes in CVD outcomes have occurred over the past few decades, mainly due to a decline in the incidence of ischaemic heart disease. The onset of T2DM at a young age (<40 years), leading to a greater number of life-years lost, has also become increasingly common. Researchers are now looking beyond established risk factors in patients with T2DM towards the role of ectopic fat and, potentially, haemodynamic abnormalities in mediating important outcomes (such as heart failure). T2DM confers a wide spectrum of risk and is not necessarily a CVD risk equivalent, indicating the importance of risk assessment strategies (such as global risk scoring, consideration of risk-enhancing factors and assessment of subclinical atherosclerosis) to inform treatment. Data from epidemiological studies and clinical trials demonstrate that successful control of multiple risk factors can reduce the risk of CVD events by ≥50%; however, only ≤20% of patients achieve targets for risk factor reduction (plasma lipid levels, blood pressure, glycaemic control, body weight and non-smoking status). Improvements in composite risk factor control with lifestyle management (including a greater emphasis on weight loss interventions) and evidence-based generic and novel pharmacological therapies are therefore needed when the risk of CVD is high.
Collapse
Affiliation(s)
- Nathan D Wong
- Heart Disease Prevention Program, Division of Cardiology, University of California, Irvine, CA, USA.
| | - Naveed Sattar
- Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
| |
Collapse
|
4
|
Montenegro J, L P Oliveira C, Armet AM, Berg A, Sharma AM, Mereu L, Cominetti C, Ghosh S, Richard C, Nguyen NK, Cani PD, Walter J, Prado CM. Impact of a Powdered Meal Replacement on Metabolism and Gut Microbiota (PREMIUM) in individuals with excessive body weight: a study protocol for a randomised controlled trial. BMJ Open 2023; 13:e070027. [PMID: 37709337 PMCID: PMC11148686 DOI: 10.1136/bmjopen-2022-070027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/16/2023] Open
Abstract
INTRODUCTION Excess body weight is associated with a state of low-grade chronic inflammation and alterations of the gut microbiome. Powdered meal replacements (PMR) have been shown to be an effective strategy for weight management; however, their effect on inflammation and the gut microbiome remains unclear. The aim of this 12-week randomised control clinical trial is to investigate the effects of PMR consumption, here given as a soy-yoghurt-honey formula, on inflammation, gut microbiome and overall metabolism in individuals with excessive body weight. METHODS AND ANALYSIS Healthy adults with excess body weight (n=88) are being recruited and randomly assigned to one of the following groups: (1) Control group (CON): maintaining usual diet for 12 weeks, or (2) PMR group: replacing morning and afternoon snacks daily with a PMR for 12 weeks. Participants are asked to maintain body weight throughout the study and fill out a journal with information about PMR consumption, body weight, food intake, appetite sensations and medications. Three study visits are required: baseline, week 6 and week 12. Outcome measures include systemic inflammatory biomarkers, gut microbiome composition, metabolic blood markers, host energy metabolism, body composition, appetite sensations and host gene expression profile. ETHICS AND DISSEMINATION This research protocol was approved by the University of Alberta Ethics Board (Pro00070712) and adheres to the Canadian Tri-Council Policy statement on the use of human participants in research. Procedures and potential risks are fully discussed with participants. Study findings will be disseminated in peer-reviewed journals, conference presentations and social media. TRIAL REGISTRATION NUMBER NCT03235804.
Collapse
Affiliation(s)
- Julia Montenegro
- Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Camila L P Oliveira
- Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Anissa M Armet
- Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Aloys Berg
- Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Arya M Sharma
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Laurie Mereu
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | | | - Sunita Ghosh
- Department of Medical Oncology, University of Alberta, Edmonton, Alberta, Canada
| | - Caroline Richard
- Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Nguyen Khoi Nguyen
- Metabolism and Nutrition research group (MNUT), UCLouvain, Universite catholique de Louvain, Louvain Drug Research Institute, Brussels, Belgium
- Walloon Excellence in Life Sciences and BIOtechnology (WELBIO), WEL Research Institute, Wavre, Belgium
| | - Patrice D Cani
- Metabolism and Nutrition research group (MNUT), UCLouvain, Universite catholique de Louvain, Louvain Drug Research Institute, Brussels, Belgium
- Walloon Excellence in Life Sciences and BIOtechnology (WELBIO), WEL Research Institute, Wavre, Belgium
| | - Jens Walter
- Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
- APC Microbiome Ireland, School of Microbiology, and Department of Medicine, University College Cork - National University of Ireland, Cork, Ireland
| | - Carla M Prado
- Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| |
Collapse
|
5
|
Sandsdal RM, Juhl CR, Jensen SBK, Lundgren JR, Janus C, Blond MB, Rosenkilde M, Bogh AF, Gliemann L, Jensen JEB, Antoniades C, Stallknecht BM, Holst JJ, Madsbad S, Torekov SS. Combination of exercise and GLP-1 receptor agonist treatment reduces severity of metabolic syndrome, abdominal obesity, and inflammation: a randomized controlled trial. Cardiovasc Diabetol 2023; 22:41. [PMID: 36841762 PMCID: PMC9960425 DOI: 10.1186/s12933-023-01765-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 02/03/2023] [Indexed: 02/27/2023] Open
Abstract
BACKGROUND Identifying and reducing cardiometabolic risks driven by obesity remains a healthcare challenge. The metabolic syndrome is associated with abdominal obesity and inflammation and is predictive of long-term risk of developing type 2 diabetes and cardiovascular disease in otherwise healthy individuals living with obesity. Therefore, we investigated the effects of adherent exercise, a glucagon-like peptide 1 receptor agonist (GLP-1 RA), or the combination on severity of metabolic syndrome, abdominal obesity, and inflammation following weight loss. METHODS This was a randomized, double-blinded, placebo-controlled trial. During an 8-week low-calorie diet (800 kcal/day), 195 adults with obesity and without diabetes lost 12% in body weight. Participants were then evenly randomized to four arms of one-year treatment with: placebo, moderate-to-vigorous exercise (minimum of 150 min/week of moderate-intensity or 75 min/week of vigorous-intensity aerobic physical activity or an equivalent combination of both), the GLP-1 RA liraglutide 3.0 mg/day, or a combination (exercise + liraglutide). A total of 166 participants completed the trial. We assessed the prespecified secondary outcome metabolic syndrome severity z-score (MetS-Z), abdominal obesity (estimated as android fat via dual-energy X-ray absorptiometry), and inflammation marker high-sensitivity C-reactive protein (hsCRP). Statistical analysis was performed on 130 participants adherent to the study interventions (per-protocol population) using a mixed linear model. RESULTS The diet-induced weight loss decreased the severity of MetS-Z from 0.57 to 0.06, which was maintained in the placebo and exercise groups after one year. MetS-Z was further decreased by liraglutide (- 0.37, 95% CI - 0.58 to - 0.16, P < 0.001) and the combination treatment (- 0.48, 95% CI - 0.70 to - 0.25, P < 0.001) compared to placebo. Abdominal fat percentage decreased by 2.6, 2.8, and 6.1 percentage points in the exercise, liraglutide, and combination groups compared to placebo, respectively, and hsCRP decreased only in the combination group compared with placebo (by 43%, P = 0.03). CONCLUSION The combination of adherent exercise and liraglutide treatment reduced metabolic syndrome severity, abdominal obesity, and inflammation and may therefore reduce cardiometabolic risk more than the individual treatments. Trial registration EudraCT number: 2015-005585-32, ClinicalTrials.gov: NCT04122716.
Collapse
Affiliation(s)
- Rasmus M Sandsdal
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen N, Denmark
| | - Christian R Juhl
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen N, Denmark
| | - Simon B K Jensen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen N, Denmark
| | - Julie R Lundgren
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen N, Denmark
| | - Charlotte Janus
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen N, Denmark
| | | | - Mads Rosenkilde
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen N, Denmark
| | - Adrian F Bogh
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen N, Denmark
| | - Lasse Gliemann
- The August Krogh Section for Human Physiology, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Jens-Erik B Jensen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Endocrinology, Hvidovre University Hospital, Copenhagen, Denmark
| | - Charalambos Antoniades
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Bente M Stallknecht
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen N, Denmark
| | - Jens J Holst
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen N, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Sten Madsbad
- Department of Endocrinology, Hvidovre University Hospital, Copenhagen, Denmark
| | - Signe S Torekov
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, DK-2200, Copenhagen N, Denmark.
| |
Collapse
|
6
|
Therapeutics in Metabolic Diseases. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1396:255-273. [DOI: 10.1007/978-981-19-5642-3_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
|
7
|
Liao CW, Wei CF, Chen MH, Hsieh WS, Lin CC, Chen PC. Association between maternal shift work during pregnancy child overweight and metabolic outcomes in early childhood. Front Public Health 2022; 10:1006332. [PMID: 36249262 PMCID: PMC9565036 DOI: 10.3389/fpubh.2022.1006332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 08/30/2022] [Indexed: 01/27/2023] Open
Abstract
Background Previous studies found that maternal shift work during pregnancy was associated with many reproductive hazards, including small for gestational age, preterm birth, stillbirth, and neurodevelopmental impairment. Some studies also showed that these children are more likely to become overweight in early childhood. However, the association with metabolic factors, such as insulin resistance and dyslipidemia, was less studied. Hence, we aimed to understand better the relationship between maternal shift work during pregnancy and the risk of childhood overweight and metabolic outcomes. Confounding factors were also discussed, including diet, exercise, and demographical factors. Methods We enrolled pregnant women before delivery in the Taiwan Birth Panel Study (TBPS) II conducted between 2010 and 2012, and followed the children of these participants in 2018. The objective of this study is to investigate the influence of prenatal and postnatal factors on infant and early childhood health. During the follow-up in 2018, we checked children's demographic data, obtained blood specimens, and checked their blood sugar, blood insulin, and lipid profiles. Structured questionnaires were used to evaluate demographic data. Multiple linear and logistic regressions were used to examine the associations between maternal shift work during pregnancy and child overweight, metabolic disorders, such as HOMA-IR, and lipid profiles. Results In this study, we included 407 mother-children pairs with different work shifts (350 day workers and 57 shift workers), and a sub-population without underweight children was also created (290 day workers and 47 shift workers). Shift work during pregnancy was associated with a higher Homeostasis Model Assessment-Insulin Resistance index (HOMA-IR) and a higher odds ratio for overweight in children born from mothers doing shift work during pregnancy after adjustment. The findings were attenuated when we investigated the effect of shift work before pregnancy. Conclusion Our study suggested that maternal shift work during pregnancy was associated with child overweight and insulin resistance in early childhood.
Collapse
Affiliation(s)
- Che-Wei Liao
- Institute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, Taipei, Taiwan,Department of Environmental and Occupational Medicine, National Taiwan University College of Medicine and Hospital, Taipei, Taiwan
| | - Chih-Fu Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Mei-Huei Chen
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan,Department of Pediatrics, National Taiwan University College of Medicine and Hospital, Taipei, Taiwan
| | - Wu-Shiun Hsieh
- Department of Pediatrics, National Taiwan University College of Medicine and Hospital, Taipei, Taiwan,Department of Pediatrics, Cathay General Hospital, Taipei, Taiwan
| | - Ching-Chun Lin
- Institute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, Taipei, Taiwan,*Correspondence: Ching-Chun Lin
| | - Pau-Chung Chen
- Institute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, Taipei, Taiwan,Department of Environmental and Occupational Medicine, National Taiwan University College of Medicine and Hospital, Taipei, Taiwan,Department of Public Health, National Taiwan University College of Public Health, Taipei, Taiwan,National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan,Pau-Chung Chen
| |
Collapse
|
8
|
Wong ND. Cardiodiabetology: Newer Pharmacologic Strategies for Reducing Cardiovascular Disease Risks. Can J Physiol Pharmacol 2022; 100:956-967. [PMID: 35772176 DOI: 10.1139/cjpp-2022-0065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Globally, nearly 500 million adults currently have diabetes, which is expected to increase to approximately 700 million by 2040. Cardiovascular diseases (CVD), including coronary heart disease, stroke, heart failure, and peripheral arterial disease, are the principal causes of death in persons with diabetes. Key to the prevention of CVD is optimization of associated risk factors. However, few persons with diabetes are at recommended targets for key CVD risk factors including LDL-cholesterol, blood pressure, HbA1c, nonsmoking status, and body mass index. While lifestyle management forms the basis for the prevention and control of these risk factors, newer and existing pharmacologic approaches are available to optimize the potential for CVD risk reduction, particularly for the management of lipids, blood pressure and blood glucose. For higher risk patients, antiplatelet therapy is recommended. Medication for blood pressure, statins, and most recently, icosapent ethyl, have evidence for reducing CVD events in persons with diabetes. Newer medications for diabetes, including SGLT2 inhibitors and GLP-1 receptor agonists also reduce CVD and SGLT2 inhibitors in particular also reduce progression of kidney disease and reduce heart failure hospitalizations. Most importantly, a multidisciplinary team is required to address the polypharmaceutical options to best reduce CVD risks persons with diabetes.
Collapse
Affiliation(s)
- Nathan D Wong
- University of California Irvine, 8788, Irvine, United States, 92697;
| |
Collapse
|
9
|
Bourebaba Y, Marycz K, Mularczyk M, Bourebaba L. Postbiotics as potential new therapeutic agents for metabolic disorders management. Biomed Pharmacother 2022; 153:113138. [PMID: 35717780 DOI: 10.1016/j.biopha.2022.113138] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 05/07/2022] [Accepted: 05/15/2022] [Indexed: 11/24/2022] Open
Abstract
The prevalence of obesity, diabetes, non-alcoholic fatty liver disease, and related metabolic disorders has been steadily increasing in the past few decades. Apart from the establishment of caloric restrictions in combination with improved physical activity, there are no effective pharmacological treatments for most metabolic disorders. Many scientific-studies have described various beneficial effects of probiotics in regulating metabolism but others questioned their effectiveness and safety. Postbiotics are defined as preparation of inanimate microorganisms, and/or their components, which determine their safety of use and confers a health benefit to the host. Additionally, unlike probiotics postbiotics do not require stringent production/storage conditions. Recently, many lines of evidence demonstrated that postbiotics may be beneficial in metabolic disorders management via several potential effects including anti-inflammatory, antibacterial, immunomodulatory, anti-carcinogenic, antioxidant, antihypertensive, anti-proliferative, and hypocholesterolaemia properties that enhance both the immune system and intestinal barrier functions by acting directly on specific tissues of the intestinal epithelium, but also on various organs or tissues. In view of the many reports that demonstrated the high biological activity and safety of postbiotics, we summarized in the present review the current findings reporting the beneficial effects of various probiotics derivatives for the management of metabolic disorders and related alterations.
Collapse
Affiliation(s)
- Yasmina Bourebaba
- Laboratoire de Biomathématique, Biophysique, Biochimie et Scientométrie (L3BS), Faculté des Sciences de la Nature et de la Vie, Université de Bejaia, 06000 Bejaia, Algeria.
| | - Krzysztof Marycz
- Department of Experimental Biology, Faculty of Biology and Animal Science, Wrocław University of Environmental and Life Sciences, Norwida 27B, 50-375 Wrocław, Poland; Department of Medicine and Epidemiology, UC Davis School of Veterinary Medicine, Davis, CA 95516, USA
| | - Malwina Mularczyk
- Department of Experimental Biology, Faculty of Biology and Animal Science, Wrocław University of Environmental and Life Sciences, Norwida 27B, 50-375 Wrocław, Poland; International Institute of Translational Medicine, Jesionowa, 11, Malin, 55-114 Wisznia Mała, Poland
| | - Lynda Bourebaba
- Department of Experimental Biology, Faculty of Biology and Animal Science, Wrocław University of Environmental and Life Sciences, Norwida 27B, 50-375 Wrocław, Poland; International Institute of Translational Medicine, Jesionowa, 11, Malin, 55-114 Wisznia Mała, Poland.
| |
Collapse
|
10
|
Attaye I, Warmbrunn MV, Boot ANAF, van der Wolk SC, Hutten BA, Daams JG, Herrema H, Nieuwdorp M. A Systematic Review and Meta-analysis of Dietary Interventions Modulating Gut Microbiota and Cardiometabolic Diseases-Striving for New Standards in Microbiome Studies. Gastroenterology 2022; 162:1911-1932. [PMID: 35151697 DOI: 10.1053/j.gastro.2022.02.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 01/27/2022] [Accepted: 02/01/2022] [Indexed: 01/15/2023]
Abstract
BACKGROUND & AIMS Cardiometabolic diseases (CMDs) have shared properties and causes. Insulin resistance is a risk factor and characteristic of CMDs and has been suggested to be modulated by plasma metabolites derived from gut microbiota (GM). Because diet is among the most important modulators of GM, we performed a systematic review of the literature to assess whether CMDs can be modulated via dietary interventions targeting the GM. METHODS A systematic review of the literature for clinical studies was performed on Ovid MEDLINE and Ovid Embase. Studies were assessed for risk of bias and patterns of intervention effects. A meta-analysis with random effects models was used to evaluate the effect of dietary interventions on clinical outcomes. RESULTS Our search yielded 4444 unique articles, from which 15 randomized controlled trials and 6 nonrandomized clinical trials were included. The overall risk of bias was high in all studies. In general, most dietary interventions changed the GM composition, but no consistent effect could be found. Results of the meta-analyses showed that only diastolic blood pressure is decreased across interventions compared with controls (mean difference: -3.63 mm Hg; 95% confidence interval, -7.09 to -0.17; I2 = 0%, P = .04) and that a high-fiber diet was associated with reduced triglyceride levels (mean difference: -0.69 mmol/L; 95% confidence interval, -1.36 to -0.02; I2 = 59%, P = .04). Other CMD parameters were not affected. CONCLUSIONS Dietary interventions modulate GM composition, blood pressure, and circulating triglycerides. However, current studies have a high methodological heterogeneity and risk of bias. Well-designed and controlled studies are thus necessary to better understand the complex interaction between diet, microbiome, and CMDs. PROSPERO CRD42020188405.
Collapse
Affiliation(s)
- Ilias Attaye
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, location AMC, Amsterdam, the Netherlands
| | - Moritz V Warmbrunn
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, location AMC, Amsterdam, the Netherlands
| | - Aureline N A F Boot
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, location AMC, Amsterdam, the Netherlands
| | - Suze C van der Wolk
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, location AMC, Amsterdam, the Netherlands
| | - Barbara A Hutten
- Department of Epidemiology and Data Science, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location AMC, Amsterdam, the Netherlands
| | - Joost G Daams
- Medical Library, Amsterdam University Medical Centers, location AMC, Amsterdam, the Netherlands
| | - Hilde Herrema
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, location AMC, Amsterdam, the Netherlands
| | - Max Nieuwdorp
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, location AMC, Amsterdam, the Netherlands.
| |
Collapse
|
11
|
Dai Y, Li Y, Yang S, Xu W, Jia H, Yang C. Association between weight change and risk of metabolic abnormalities in non-overweight/obese and overweight/obese population: A retrospective cohort study among Chinese adults. Front Endocrinol (Lausanne) 2022; 13:1029941. [PMID: 36605936 PMCID: PMC9808089 DOI: 10.3389/fendo.2022.1029941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVES To explore the effects of weight change on the risk of metabolic abnormalities in the Chinese population. METHODS A total of 1895 metabolically healthy adults aged 21-78 years completed anthropometric and biological measurements at baseline (2012) and at an eight year follow-up (2020). Based on absolute weight change and relative weight change, the participants were split into five classes. A Cox proportional hazards regression model was used to estimate the relative risk (RR) and 95% confidence intervals (95% CI) for the risk of metabolic abnormalities using stable weight as the reference group. Stratified analysis was used to explore this relationship in participants with different baseline body mass index (BMI) levels. RESULTS During the follow-up period, 35.41% of the participants retained a stable weight, and 10.71% had metabolic abnormalities. After covariate adjustment, for every kilogram gained over eight years, the risk of developing metabolic abnormalities increased by 22% (RR: 1.094; 95% CI: 1.063-1.127). Compared with stable weight participants, weight gain of 2-4 Kg and weight gain ≥ 4 Kg exhibited significantly higher risks of metabolic abnormalities, with RR of 1.700 (95% CI 1.150-2.513) and 1.981 (95% CI 1.372-2.859), respectively. A weight gain of ≥ 4 Kg had an opposite effect on the overweight/obesity and non-overweight/obesity groups, with an increased risk of metabolic abnormalities only in the non-overweight/obesity group (RR, 2.291; 95% CI, 1.331-3.942). Moreover, weight loss ≥ 4 Kg significantly reduced the risk of metabolic abnormalities only among overweight/obese adults (RR 0.373; 95% CI 0.154-0.906). Similar results were observed in relative body weight change analyses. CONCLUSIONS Long-term excessive body weight gain is positively associated with an increased risk of metabolic abnormalities among adults with non-overweight/obesity, whereas long-term body weight loss is a protective factor for metabolic health among adults with overweight/obesity.
Collapse
Affiliation(s)
- Yanyan Dai
- School of Public Health, Southwest Medical University, Luzhou, Sichuan, China
| | - Yujuan Li
- Health Management Center, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Shu Yang
- School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Weiwei Xu
- Health Management Center, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Hong Jia
- School of Public Health, Southwest Medical University, Luzhou, Sichuan, China
- *Correspondence: Chao Yang, ; Hong Jia,
| | - Chao Yang
- School of Public Health, Southwest Medical University, Luzhou, Sichuan, China
- *Correspondence: Chao Yang, ; Hong Jia,
| |
Collapse
|
12
|
Kim HL, Chung J, Kim KJ, Kim HJ, Seo WW, Jeon KH, Cho I, Park JJ, Lee MH, Suh J, Lim SY, Choi S, Kim SH. Lifestyle Modification in the Management of Metabolic Syndrome: Statement From Korean Society of CardioMetabolic Syndrome (KSCMS). Korean Circ J 2022; 52:93-109. [PMID: 35128848 PMCID: PMC8819565 DOI: 10.4070/kcj.2021.0328] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/08/2021] [Accepted: 12/01/2021] [Indexed: 11/11/2022] Open
Abstract
Metabolic syndrome (MetS) is highly prevalent and is associated with worse cardiovascular outcome. Lifestyle modification is the most effective way to reduce the incidence of cardiovascular complications caused by MetS. Here, we would like to review the effects and specific methods of the 6 lifestyle modifications (weight control, smoking cessation, alcohol drinking in moderation, diet control, exercise and physical activity, and cognitive behavioral therapy) and control of blood pressure, dyslipidemia, and blood sugar based on evidence in the management of MetS. With the recent rapid increase in obesity worldwide, metabolic syndrome (MetS) has gained significant importance. MetS is a cluster of obesity-related cardiovascular risk factors including abdominal obesity, atherogenic dyslipidemia, high blood pressure and impaired glucose tolerance. MetS is highly prevalent and strongly associated with an increased risk of developing diabetes and cardiovascular disease, putting a great burden on human society. Therefore, it is very important to reduce MetS risk, which can improve patients’ cardiovascular prognosis. The primary and most effective strategy to control each component of MetS is lifestyle change such as losing body weight, keeping regular exercise, adopting a healthy diet, quitting smoking and alcohol drinking in moderation. Many studies have shown that lifestyle modification has improved all components of MetS, and reduces the incidence of diabetes and cardiovascular disease. Here, the Korean Society of CardioMetabolic Syndrome has summarized specific and practical methods of lifestyle modification in the management of MetS in the healthcare field.
Collapse
Affiliation(s)
- Hack-Lyoung Kim
- Division of Cardiology, Department of Internal Medicine, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Jaehoon Chung
- Division of Cardiology, Department of Internal Medicine, National Medical Center, Seoul, Korea
| | - Kyung-Jin Kim
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University Medical Center, Ewha Womans University School of Medicine, Seoul, Korea
| | - Hyun-Jin Kim
- Department of Cardiology in Internal Medicine, Hanyang University Guri Hospital, Guri, Korea
| | - Won-Woo Seo
- Division of Cardiology, Department of Internal Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
| | - Ki-Hyun Jeon
- Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Iksung Cho
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jin Joo Park
- Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Min-Ho Lee
- Division of Cardiology, Department of Internal Medicine, Soon Chun Hyang University Seoul Hospital, Seoul, Korea
| | - Jon Suh
- Division of Cardiology, Department of Internal Medicine, Soon Chun Hyang Bucheon Hospital, Soon Chun Hyang University College of Medicine, Bucheon, Korea
| | - Sang-Yup Lim
- Departments of Internal Medicine, Korea University Ansan Hospital, Ansan, Korea
| | - Seonghoon Choi
- Division of Cardiology, Department of Internal Medicine, Hallym University College of Medicine, Seoul, Korea
| | - Sang-Hyun Kim
- Division of Cardiology, Department of Internal Medicine, Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| |
Collapse
|
13
|
Marjani M, Dolab N, Kamkar MZ, Amiriani T, Yuzugulen J, Marjani A. Gender and Body Mass Index-Related Serum Level of Adipokines and Metabolic Syndrome Components in Bipolar Patients who received Lithium and Valproic Acid. Metab Syndr Relat Disord 2021; 20:79-87. [PMID: 34874780 DOI: 10.1089/met.2021.0078] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Background: This is the study to assess alterations on adiponectin, leptin, and metabolic syndrome components in women and men bipolar disorder (BD) patients with normal weight and obesity who received valproic acid (VPA) and lithium (Li). Methods: Thirty-six women and 51 men were included. Commercial kits were used to determine all parameters. Metabolic syndrome components were determined according to the NCEP ATP III criteria. Results: Patients who received Li and VPA significantly differ in waist circumference (WC) and triglyceride (TG) levels (in women and men). Normal weight patients received both drugs, significant differences were considered in high-density lipoprotein-cholesterol (HDL-C), WC, and TG levels compared to healthy controls, but there were significant differences in TG, leptin, and adiponectin levels in obese patients who received VPA. There were significant negative and positive correlation between leptin and adiponectin and WC and TG in women and men BD patients treated with VPA and Li. There were significant positive correlation between leptin and adiponectin and WC and TG and significant negative correlation with HDL-C in normal weight BD patients treated with VPA and Li, respectively, while there was only a significant positive correlation between leptin and adiponectin, and TG in obese BD patients treated with VPA. Conclusions: It looks like that patients treated with both drugs for our suggested time may increase leptin and adiponectin levels. Correlation differences between leptin and adiponectin, and metabolic syndrome components may be important parameters in women, men, normal weight, and obese BD patients. Monitoring of body composition and adipokines may benefit in medical care of these patients.
Collapse
Affiliation(s)
- Majid Marjani
- Faculty of Pharmacy, Eastern Mediterranean University, Famagusta, Turkey
| | - Neda Dolab
- Student Research Committee, Department of Biochemistry and Biophysics, Gorgan Faculty of Medicine, Metabolic Disorders Research Center, Golestan University Medical Sciences, Gorgan, Iran
| | - Mohammad Zaman Kamkar
- Department of Psychiatry, Golestan Research Center of Psychiatry, Golestan University of Medical Sciences, Gorgan, Iran
| | - Taghi Amiriani
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran
| | - Jale Yuzugulen
- Faculty of Pharmacy, Eastern Mediterranean University, Famagusta, Turkey
| | - Abdoljalal Marjani
- Department of Biochemistry and Biophysics, Faculty of Medicine, Metabolic Disorders Research Center, Golestan University of Medical Sciences, Gorgan, Iran
| |
Collapse
|
14
|
Paulin MV, Dunn M, Vachon C, Beauchamp G, Conversy B. Association between hyperlipidemia and calcium oxalate lower urinary tract uroliths in dogs. J Vet Intern Med 2021; 36:146-155. [PMID: 34854133 PMCID: PMC8783332 DOI: 10.1111/jvim.16324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 11/11/2021] [Accepted: 11/17/2021] [Indexed: 11/28/2022] Open
Abstract
Background Metabolic syndrome is associated with formation of calcium oxalate (CaOx) uroliths in humans. Objectives To investigate the association between obesity and hyperlipidemia with CaOx lower urinary tract uroliths in client‐owned dogs. Animals Dogs with (n = 55, U [uroliths]‐dogs) and without (n = 39, UF [uroliths‐free]‐dogs) CaOx lower urinary tract uroliths. Methods Case‐control study. U‐dogs were retrospectively enrolled and compared to UF‐dogs. Body condition score (BCS; 1‐9 scoring scale), serum triglyceride (TG) and total cholesterol (CH) concentrations and glycemia (after >12‐hour food withholding) were recorded in both groups. Results On univariate logistic regression, when excluding Miniature Schnauzers, odds of having uroliths increased by a factor of 3.32 (95% CI 1.38‐11.12) for each mmol/L of TG (P = .027), of 39 (95% CI 9.27‐293.22) for each mmol/L of glycemia (P < .0001), and of 2.43 (95% CI 1.45‐4.45) per unit of BCS (P = .002). In multivariable models, the effect of TG was retained when all breeds were included for analysis and odds of having uroliths increased by a factor of 4.34 per mmol/L of TG (95% CI 1.45‐19.99; P = .02). Conclusions and Clinical Importance Serum lipid screening in dogs diagnosed with CaOx uroliths might be recommended to improve their medical staging and management.
Collapse
Affiliation(s)
- Mathieu V Paulin
- Department of Small Animal Clinical Sciences, Western College of Veterinary Medicine-University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Marilyn Dunn
- Department of Small Animal Clinical Sciences, Veterinary Teaching Hospital-University of Montreal, Saint-Hyacinthe, Quebec, Canada
| | - Catherine Vachon
- Department of Small Animal Clinical Sciences, Veterinary Teaching Hospital-University of Montreal, Saint-Hyacinthe, Quebec, Canada
| | - Guy Beauchamp
- Department of Small Animal Clinical Sciences, Veterinary Teaching Hospital-University of Montreal, Saint-Hyacinthe, Quebec, Canada
| | - Bérénice Conversy
- Department of Small Animal Clinical Sciences, Veterinary Teaching Hospital-University of Montreal, Saint-Hyacinthe, Quebec, Canada
| |
Collapse
|
15
|
Leslie WS, Ali E, Harris L, Messow CM, Brosnahan NT, Thom G, McCombie EL, Barnes AC, Sattar N, Taylor R, Lean MEJ. Antihypertensive medication needs and blood pressure control with weight loss in the Diabetes Remission Clinical Trial (DiRECT). Diabetologia 2021; 64:1927-1938. [PMID: 34056684 PMCID: PMC8382659 DOI: 10.1007/s00125-021-05471-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 03/22/2021] [Indexed: 01/03/2023]
Abstract
AIMS/HYPOTHESIS Our aim was to evaluate the safety and efficacy of a planned therapeutic withdrawal of all antihypertensive and diuretic medications, on commencing a formula low-energy diet replacement, targeting remission of type 2 diabetes. METHODS Post hoc analysis of changes in BP, antihypertensive medication prescriptions and symptoms during the initial total diet replacement phase was performed in the intervention arm of the Diabetes Remission Clinical Trial (n = 143) and in the subset (n = 69) who discontinued antihypertensive medications at the start of total diet replacement. The Counterweight-Plus total diet replacement provided about 3470 kJ/day (830 kcal) with automatic reductions in all nutrients, including sodium, to achieve marked negative energy balance and rapid weight loss over 12-20 weeks, with regular BP monitoring and an antihypertensive reintroduction protocol based on current clinical guidelines. RESULTS Of 143 intervention group participants who commenced total diet replacement, 78 (55%) were on treatment for hypertension at baseline. The overall mean BP fell significantly from the start of total diet replacement (week 1) and was significantly lower at week 20, after total diet replacement finished, and also at 12 and 24 months. Of the 78 participants previously on treatment for hypertension, 65 (83%) stopped all antihypertensive and diuretic medications as per protocol, and four (5%) stopped some drugs. These 69 participants experienced no immediate (within the first week) change in BP, but their mean BP fell significantly from 9 weeks. No excessive rises in BP were recorded in individuals, but antihypertensive medications were reintroduced during total diet replacement to manage raised BP for 19/69 (27.5%) participants, mostly within the first 3-7 weeks, despite some weight loss. Reintroduction of antihypertensive medications was necessary for 5/19 participants previously on one drug, and for 14/19 previously on two or more drugs. Of the 69 who stopped antihypertensives, 19 (28%) remained off medications at 24 months. Among the 53 participants who achieved sustained remissions of diabetes at 24 months (with a mean weight loss of 11.4 kg), 31 had been previously treated for hypertension. Twenty-seven stopped medication at baseline, and 15/27 required reintroduction of antihypertensive medications. Mild to moderate dizziness, suggesting some postural hypotension, was reported during total diet replacement by 51 participants, 15 of whom had recorded dizziness at baseline prior to starting total diet replacement, with nine of these on antihypertensive or diuretic medications. CONCLUSIONS/INTERPRETATION Replacing antihypertensive medications with a 3470 kJ/day (830 kcal) diet to induce weight loss reduces BP substantially and may increase mild dizziness. It is safe to stop antihypertensives, but BP should be monitored regularly, particularly for those taking two or more antihypertensives, as over two-thirds will require reintroduction of some medications. Long-term support to maintain weight loss is vital. TRIAL REGISTRATION ISRCTN registry, number 03267836.
Collapse
Affiliation(s)
- Wilma S Leslie
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK
| | - Eman Ali
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK
| | - Leanne Harris
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK
| | - C Martina Messow
- Robertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Naomi T Brosnahan
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK
| | - George Thom
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK
| | - E Louise McCombie
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK
| | - Alison C Barnes
- Human Nutrition Research Centre, Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Science, University of Glasgow, Glasgow, UK
| | - Roy Taylor
- Magnetic Resonance Centre, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Michael E J Lean
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK.
| |
Collapse
|
16
|
Rojas M, Chávez-Castillo M, Pirela D, Parra H, Nava M, Chacín M, Angarita L, Añez R, Salazar J, Ortiz R, Durán Agüero S, Gravini-Donado M, Bermúdez V, Díaz-Camargo E. Metabolic Syndrome: Is It Time to Add the Central Nervous System? Nutrients 2021; 13:nu13072254. [PMID: 34208833 PMCID: PMC8308252 DOI: 10.3390/nu13072254] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 06/05/2021] [Accepted: 06/09/2021] [Indexed: 12/28/2022] Open
Abstract
Metabolic syndrome (MS) is a set of cardio-metabolic risk factors that includes central obesity, hyperglycemia, hypertension, and dyslipidemias. The syndrome affects 25% of adults worldwide. The definition of MS has evolved over the last 80 years, with various classification systems and criteria, whose limitations and benefits are currently the subject of some controversy. Likewise, hypotheses regarding the etiology of MS add more confusion from clinical and epidemiological points of view. The leading suggestion for the pathophysiology of MS is insulin resistance (IR). IR can affect multiple tissues and organs, from the classic “triumvirate” (myocyte, adipocyte, and hepatocyte) to possible effects on organs considered more recently, such as the central nervous system (CNS). Mild cognitive impairment (MCI) and Alzheimer’s disease (AD) may be clinical expressions of CNS involvement. However, the association between MCI and MS is not understood. The bidirectional relationship that seems to exist between these factors raises the questions of which phenomenon occurs first and whether MCI can be a precursor of MS. This review explores shared pathophysiological mechanisms between MCI and MS and establishes a hypothesis of a possible MCI role in the development of IR and the appearance of MS.
Collapse
Affiliation(s)
- Milagros Rojas
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4004, Venezuela; (M.R.); (D.P.); (H.P.); (M.N.); (J.S.)
| | | | - Daniela Pirela
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4004, Venezuela; (M.R.); (D.P.); (H.P.); (M.N.); (J.S.)
| | - Heliana Parra
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4004, Venezuela; (M.R.); (D.P.); (H.P.); (M.N.); (J.S.)
| | - Manuel Nava
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4004, Venezuela; (M.R.); (D.P.); (H.P.); (M.N.); (J.S.)
| | - Maricarmen Chacín
- Facultad de Ciencias de la Salud, Universidad Simón Bolívar, Barranquilla 08002, Colombia;
| | - Lissé Angarita
- Escuela de Nutrición y Dietética, Facultad de Medicina, Universidad Andrés Bello, Sede Concepción 4260000, Chile;
| | - Roberto Añez
- Departamento de Endocrinología y Nutrición, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain;
| | - Juan Salazar
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo 4004, Venezuela; (M.R.); (D.P.); (H.P.); (M.N.); (J.S.)
| | - Rina Ortiz
- Posgrado, Carrera de Medicina, Universidad Católica de Cuenca, Cantón de Cuenca 010101, Ecuador;
| | - Samuel Durán Agüero
- Facultad de Ciencias Para el Cuidado de la Salud, Universidad San Sebastián, Los Leones 8420524, Chile;
| | - Marbel Gravini-Donado
- Facultad de Ciencias Jurídicas y Sociales, Universidad Simón Bolívar, Barranquilla 080002, Colombia;
| | - Valmore Bermúdez
- Facultad de Ciencias Jurídicas y Sociales, Universidad Simón Bolívar, Cúcuta 540006, Colombia;
| | - Edgar Díaz-Camargo
- Facultad de Ciencias Jurídicas y Sociales, Universidad Simón Bolívar, Cúcuta 540006, Colombia;
- Correspondence:
| |
Collapse
|
17
|
Guzmán M, Zbella E, Alvarez SS, Nguyen JL, Imperial E, Troncale FJ, Holub C, Mallhi AK, VanWyk S. Effect of an intensive lifestyle intervention on the prevalence of metabolic syndrome and its components among overweight and obese adults. J Public Health (Oxf) 2021; 42:828-838. [PMID: 31840755 PMCID: PMC7685849 DOI: 10.1093/pubmed/fdz170] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 10/07/2019] [Accepted: 11/21/2019] [Indexed: 12/13/2022] Open
Abstract
Background Despite the fact that up to a third of the global population has metabolic syndrome (MetS), it has been overlooked in clinical settings. This study assesses the impact of a physician-supervised nonsurgical weight management program on the prevalence of MetS and its key indicators. Methods Four-hundred seventy-nine overweight and obese participants aged 19 years or older were included in a prospective longitudinal study. Changes in MetS and its key indicators were assessed using the binomial exact, chi-square and Wilcoxon signed-rank tests in an intent-to-treat study population. Differences in age strata were assessed using a generalized linear model. Results Fifty-two percent of participants (n = 249) had MetS at baseline. Prevalence of MetS decreased steadily with significant changes from baseline observed at weeks 13 (31.8%, P < 0.0001), 26 (28.7%, P < 0.0012) and 39 (21.6%, P < 0.0002); changes from baseline were observed at week 52 as statistically significant (16.7%, P < 0.0012). Improvements in anthropometrics and levels of key indicators of MetS were observed throughout the study. Conclusion These findings confirm that weight loss is inversely associated with prevalence of MetS and its key indicators among overweight and obese individuals. Future studies may benefit from a larger sample size and better retention (ClinicalTrials.gov ID: NCT03588117).
Collapse
Affiliation(s)
- M Guzmán
- Division of Research & Development, Department of Medical Affairs, Medi-Weightloss, 509 South Hyde Park Avenue, Tampa, FL 33606, USA
| | - E Zbella
- Florida Fertility Institute, 2454 N. McMullen Booth Road Suite 601, Clearwater, FL 33759, USA
| | - S Shah Alvarez
- Department of Medical Affairs, Medi-Weightloss, 509 South Hyde Park Avenue, Tampa, FL 33606, USA
| | - J L Nguyen
- Department of Pharmacy Practice, College of Pharmacy, Mercer University, 3001 Mercer University Drive, Atlanta, GA 30341, USA
| | - E Imperial
- Iredell Primary Care for Women, 114 Gateway Blvd, Suite B, Mooresville, NC 28117, USA
| | - F J Troncale
- Section of Gastroenterology, Yale University School of Medicine, 333 Cedar St, New Haven, CT 06510, USA
| | - C Holub
- Department of Public Health, College of Education, Health and Human Services, California State University, 333 S. Twin Oaks Valley Road, San Marcos, CA 92096, USA
| | - A K Mallhi
- Division of Research & Development, Department of Medical Affairs, Medi-Weightloss, 509 South Hyde Park Avenue, Tampa, FL 33606, USA
| | - S VanWyk
- Independent Consultant, 2518 69th Ave S, St. Petersburg, FL 33712, USA
| |
Collapse
|
18
|
Suara SB, Siassi F, Saaka M, Rahimiforoushani A, Sotoudeh G. Relationship between dietary carbohydrate quality index and metabolic syndrome among type 2 diabetes mellitus subjects: a case-control study from Ghana. BMC Public Health 2021; 21:526. [PMID: 33731080 PMCID: PMC7968214 DOI: 10.1186/s12889-021-10593-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Accepted: 03/08/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Dietary carbohydrate quality may play an important role in disease development. We evaluated the association between carbohydrate quality index (CQI) and the odds of metabolic syndrome (MetS) in type 2 diabetes mellitus (T2DM) subjects in Ghana. METHODS In this case-control study, we analyzed data using 124 T2DM subjects. We obtained dietary information using 2-day 24-h dietary recalls. We calculated CQI from dietary fiber, glycemic index, whole grains/total grains ratio, and solid carbohydrates/total carbohydrates ratio. Serum lipid profiles were measured after an overnight fast of 8-12 h. RESULTS Upon adjustments for the effects of covariates, the CQI showed a positive association with high-density lipoprotein cholesterol concentration (beta coefficient (β) = 0.24; standard error (SE) = 0.20; P for trend = 0.01), and an inverse relationship with waist circumference (β = - 17.29; SE = 4.00; P for trend < 0.001), systolic blood pressure (β = - 15.74; SE = 4.69; P for trend < 0.001), diastolic blood pressure (β = - 7.23; SE = 2.97; P for trend = 0.02), and triglyceride concentrations (β = - 0.43; SE = 0.11; P for trend < 0.001). Overall, the CQI had an inverse relationship with the odds of MetS (Odds ratio tertile 3 vs.1 0.05; 95% Confidence interval: 0.01-0.23; p-trend < 0.001). Also, a positive correlation was found between the CQI and fiber, but the CQI showed a negative relationship with dietary glycemic index. CONCLUSIONS The present results suggest an inverse association between the CQI of a diet and the odds of MetS. The CQI approach of dietary recommendation may be a useful strategy for dietary carbohydrate selection for the prevention of MetS.
Collapse
Affiliation(s)
- Sufyan Bakuri Suara
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, International Campus, Tehran University of Medical Sciences, Number 21 Dameshgh St. Vali-e Asr Ave., Tehran, 1416753955, Iran
| | - Fereydoun Siassi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Hojatdost street, Naderi street, Keshavarz Blv, Tehran, Iran.
| | - Mahama Saaka
- Department of Nutritional Sciences, School of Allied Health Sciences, University for Development Studies, Post Office Box 1350, Tamale, Ghana
| | - Abbas Rahimiforoushani
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
| | - Gity Sotoudeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Hojatdost street, Naderi street, Keshavarz Blv, Tehran, Iran.
| |
Collapse
|
19
|
Choi IY, Chun S, Shin DW, Han K, Jeon KH, Yu J, Chae BJ, Suh M, Park YM. Changes in Metabolic Syndrome Status and Breast Cancer Risk: A Nationwide Cohort Study. Cancers (Basel) 2021; 13:cancers13051177. [PMID: 33803268 PMCID: PMC7967214 DOI: 10.3390/cancers13051177] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 02/11/2021] [Accepted: 03/08/2021] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVE To our knowledge, no studies have yet looked at how the risk of developing breast cancer (BC) varies with changes in metabolic syndrome (MetS) status. This study aimed to investigate the association between changes in MetS and subsequent BC occurrence. RESEARCH DESIGN AND METHODS We enrolled 930,055 postmenopausal women aged 40-74 years who participated in a biennial National Health Screening Program in 2009-2010 and 2011-2012. Participants were categorized into four groups according to change in MetS status during the two-year interval screening: sustained non-MetS, transition to MetS, transition to non-MetS, and sustained MetS. We calculated multivariable-adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for BC incidence using the Cox proportional hazards models. RESULTS At baseline, MetS was associated with a significantly increased risk of BC (aHR 1.11, 95% CI 1.06-1.17) and so were all of its components. The risk of BC increased as the number of the components increased (aHR 1.46, 95% CI 1.26-1.61 for women with all five components). Compared to the sustained non-MetS group, the aHR (95% CI) for BC was 1.11 (1.04-1.19) in the transition to MetS group, 1.05 (0.96-1.14) in the transition to non-MetS group, and 1.18 (1.12-1.25) in the sustained MetS group. CONCLUSIONS Significantly increased BC risk was observed in the sustained MetS and transition to MetS groups. These findings are clinically meaningful in that efforts to recover from MetS may lead to reduced risk of BC.
Collapse
Affiliation(s)
- In Young Choi
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Korea;
| | - Sohyun Chun
- Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea;
- International Healthcare Center, Samsung Medical Center, Seoul 06351, Korea
- Correspondence: (S.C.); (D.W.S.); Tel.: +82-2-3410-0449 (S.C.); +82-2-3410-5252 (D.W.S.); Fax: +82-2-3410-0231 (S.C.); +82-2-3410-0388 (D.W.S.)
| | - Dong Wook Shin
- Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea;
- Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul 06355, Korea
- Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul 06355, Korea
- Correspondence: (S.C.); (D.W.S.); Tel.: +82-2-3410-0449 (S.C.); +82-2-3410-5252 (D.W.S.); Fax: +82-2-3410-0231 (S.C.); +82-2-3410-0388 (D.W.S.)
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul 06978, Korea;
| | - Keun Hye Jeon
- Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea;
| | - Jonghan Yu
- Division of Breast and Endocrine Surgery, Department of General Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea;
| | - Byung Joo Chae
- National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea; (B.J.C.); (M.S.)
| | - Mina Suh
- National Cancer Control Institute, National Cancer Center, Goyang 10408, Korea; (B.J.C.); (M.S.)
- Graduate School of Cancer Science and Policy, National Cancer Center, Goyang 10408, Korea
| | - Yong-Moon Park
- Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA;
| |
Collapse
|
20
|
Sikand G, Severson T. Top 10 dietary strategies for atherosclerotic cardiovascular risk reduction. Am J Prev Cardiol 2020; 4:100106. [PMID: 34327475 PMCID: PMC8315554 DOI: 10.1016/j.ajpc.2020.100106] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 10/09/2020] [Accepted: 10/13/2020] [Indexed: 01/30/2023] Open
Abstract
Poor dietary quality has surpassed all other mortality risk factors, accounting for 11 million deaths and half of CVD deaths globally. Implementation of current nutrition recommendations from the American Heart Association (AHA), American College of Cardiology (ACC) and the National Lipid Association (NLA) can markedly benefit the primary and secondary prevention of atherosclerotic cardiovascular disease (ASCVD). These include: 1) incorporate nutrition screening into medical visits; 2) refer patients to a registered dietitian nutritionist (RDN) for medical nutrition therapy, when appropriate, for prevention of ASCVD; 3) follow ACC/AHA Nutrition and Diet Recommendations for ASCVD prevention and management of overweight/obesity, type 2 diabetes and hypertension; 4) include NLA nutrition goals for optimizing low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) and reducing ASCVD risk; 5) utilize evidence-based heart-healthy eating patterns for improving cardiometabolic risk factors, dyslipidemia and ASCVD risk; 6) implement ACC/AHA/NLA nutrition and lifestyle recommendations for optimizing triglyceride levels; 7) understand the impact of saturated fats, trans fats, omega-3 and omega-6 polyunsaturated fats and monounsaturated fats on ASCVD risk; 8) limit excessive intake of dietary cholesterol for those with dyslipidemia, diabetes and at risk for heart failure; 9) include dietary adjuncts such as viscous fiber, plant sterols/stanols and probiotics; and 10) implement AHA/ACC and NLA physical activity recommendations for the optimization of lipids and prevention of ASCVD. Evidence on controversies pertaining to saturated fat, processed meat, red meat, intermittent fasting, low-carbohydrate/very-low-carbohydrate diets and caffeine are discussed.
Collapse
|
21
|
Bjørke-Monsen AL, Mikalsen SM, Ueland GÅ, Aaseth J, Whist JE. Low serum sodium concentrations in patients with obesity normalizes with weight loss. Clin Nutr ESPEN 2020; 41:405-411. [PMID: 33487297 DOI: 10.1016/j.clnesp.2020.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 09/29/2020] [Accepted: 10/13/2020] [Indexed: 11/17/2022]
Abstract
BACKGROUND & AIMS Obesity is associated with higher extracellular fluid (ECF) compared to intracellular fluid (ICF) volume and this dysregulation is associated with hypertension and abdominal obesity, associated with metabolic syndrome. As sodium is predominantly an extracellular cation, a higher ECF/ICF ratio will lower serum sodium concentration. The aim of the study was to see whether weight loss, due to dieting and bariatric surgery, had any impact on serum sodium concentrations in patients with severe obesity. METHODS Patients with a BMI ≥35 kg/m2 admitted for bariatric surgery at Innlandet Hospital Trust, Norway during 2012-14 were included in the study (n = 119). Clinical data and blood samples were recorded at inclusion, after mean six months of dieting, as well as six and 12 months after bariatric surgery. RESULTS At inclusion, mean serum sodium was in the lower normal range, 138.3 (SD 2.4) mmol/L, but increased to 141.8 (SD 1.9) mmol/L after weight loss. The increase was significantly correlated to total weight loss (rho: 0.29, p = 0.007). Twelve months after surgery, serum sodium was significantly higher in patients with a normal BMI (<25 kg/m2) compared to patients with overweight. CONCLUSION Obesity and hypertension are associated with body fluid dysregulation affecting serum sodium concentrations. As mild hyponatremia, even within the normal sodium range, is associated with increased total mortality and major cardiovascular disease events, serum sodium might be a potential risk marker in patients with obesity.
Collapse
Affiliation(s)
- Anne-Lise Bjørke-Monsen
- Department of Clinical Science, University of Bergen, Bergen, Norway; Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway.
| | | | | | - Jan Aaseth
- Department of Research, Innlandet Hospital Trust, 2380, Brumunddal, Norway
| | - Jon Elling Whist
- Laboratory of Medical Biochemistry, Innlandet Hospital Trust, 2609, Lillehammer, Norway; Department of Research, Innlandet Hospital Trust, 2380, Brumunddal, Norway
| |
Collapse
|
22
|
Lee S, Lee H, Choi JR, Koh SB. Development and Validation of Prediction Model for Risk Reduction of Metabolic Syndrome by Body Weight Control: A Prospective Population-based Study. Sci Rep 2020; 10:10006. [PMID: 32561810 PMCID: PMC7305222 DOI: 10.1038/s41598-020-67238-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 06/03/2020] [Indexed: 11/28/2022] Open
Abstract
Several studies have reported that weight control is of paramount importance in reducing the risk of metabolic syndrome. Nevertheless, this well-known association does not provide any practical information on how much weight loss in a given period would reduce the risk of metabolic syndrome in individuals in a personalized setting. This study aimed to develop and validate a risk prediction model for metabolic syndrome in 2 years, based on an individual’s baseline health status and body weight after 2 years. We recruited 3,447 and 3,874 participants from the Ansan and Anseong cohorts of the Korean Genome and Epidemiology Study, respectively. Among the former, 8636 longitudinal observations of 2,412 participants (70%) and 3,570 of 1,034 (30%) were used for training and internal validation, respectively. Among the latter, all 15,739 observations of 3,874 participants were used for external validation. Compared to logistic regression, Gaussian Naïve Bayes, random forest, and deep neural network, XGBoost showed the highest performance (area under curve of 0.879) and a significantly enhanced calibration of the predictive score with the prevalence rate. The model was ported onto an application to provide the 2-year probability of developing metabolic syndrome by simulating selected target body weights, based on an individual’s baseline health profiles. Further prospective studies are required to determine whether weight-control programs could lead to favorable health outcomes.
Collapse
Affiliation(s)
- Solam Lee
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.,Department of Dermatology, Yonsei University Wonju Severance Christian Hospital, Wonju, Republic of Korea
| | - Hunju Lee
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Jung Ran Choi
- Institute of Genomic Cohort, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Sang Baek Koh
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
| |
Collapse
|
23
|
Wang HH, Lee DK, Liu M, Portincasa P, Wang DQH. Novel Insights into the Pathogenesis and Management of the Metabolic Syndrome. Pediatr Gastroenterol Hepatol Nutr 2020; 23:189-230. [PMID: 32483543 PMCID: PMC7231748 DOI: 10.5223/pghn.2020.23.3.189] [Citation(s) in RCA: 122] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 04/17/2020] [Accepted: 04/21/2020] [Indexed: 02/06/2023] Open
Abstract
The metabolic syndrome, by definition, is not a disease but is a clustering of individual metabolic risk factors including abdominal obesity, hyperglycemia, hypertriglyceridemia, hypertension, and low high-density lipoprotein cholesterol levels. These risk factors could dramatically increase the prevalence of type 2 diabetes and cardiovascular disease. The reported prevalence of the metabolic syndrome varies, greatly depending on the definition used, gender, age, socioeconomic status, and the ethnic background of study cohorts. Clinical and epidemiological studies have clearly demonstrated that the metabolic syndrome starts with central obesity. Because the prevalence of obesity has doubly increased worldwide over the past 30 years, the prevalence of the metabolic syndrome has markedly boosted in parallel. Therefore, obesity has been recognized as the leading cause for the metabolic syndrome since it is strongly associated with all metabolic risk factors. High prevalence of the metabolic syndrome is not unique to the USA and Europe and it is also increasing in most Asian countries. Insulin resistance has elucidated most, if not all, of the pathophysiology of the metabolic syndrome because it contributes to hyperglycemia. Furthermore, a major contributor to the development of insulin resistance is an overabundance of circulating fatty acids. Plasma fatty acids are derived mainly from the triglycerides stored in adipose tissues, which are released through the action of the cyclic AMP-dependent enzyme, hormone sensitive lipase. This review summarizes the latest concepts in the definition, pathogenesis, pathophysiology, and diagnosis of the metabolic syndrome, as well as its preventive measures and therapeutic strategies in children and adolescents.
Collapse
Affiliation(s)
- Helen H. Wang
- Department of Medicine and Genetics, Division of Gastroenterology and Liver Diseases, Marion Bessin Liver Research Center, Einstein-Mount Sinai Diabetes Research Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Dong Ki Lee
- Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Min Liu
- Department of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Piero Portincasa
- Department of Biomedical Sciences and Human Oncology, Clinica Medica "A. Murri", University of Bari Medical School, Bari, Italy
| | - David Q.-H. Wang
- Department of Medicine and Genetics, Division of Gastroenterology and Liver Diseases, Marion Bessin Liver Research Center, Einstein-Mount Sinai Diabetes Research Center, Albert Einstein College of Medicine, Bronx, NY, USA
| |
Collapse
|
24
|
Julibert A, Bibiloni MDM, Tur JA. Dietary fat intake and metabolic syndrome in adults: A systematic review. Nutr Metab Cardiovasc Dis 2019; 29:887-905. [PMID: 31377181 DOI: 10.1016/j.numecd.2019.05.055] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 05/05/2019] [Accepted: 05/06/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND AND AIMS The metabolic syndrome (MetS) is a cluster of coexisting cardiovascular risk factors. The role of specific dietary fats was reemphasized by dietary recommendations. This systematic review aims to assess evidence for the effect of dietary fat intake on MetS occurrence and reversion in adults. METHODS AND RESULTS The MEDLINE database was used to search the existing literature. We included observational studies that analyzed dietary fat intake in adults with MetS and clinical trials that compared the effects of different dietary fat diets on MetS and/or its components. Thirty articles were selected (14 observational and 16 clinical trials), and we included information of dietary fat and fatty acids as well as MetS, body mass index, cholesterol, hypertension, and diabetes in adults. SFA intake was found to be positively associated with MetS components. Most of the observational reviewed studies found beneficial associations between MUFA and PUFA (including n-3 and n-6 subtypes) intake and MetS components. Clinical trials also supported the benefits of MUFA- or PUFA-enriched diets (including low-fat diets) in reducing MetS. CONCLUSIONS The effects of dietary SFAs on MetS will be influenced by other specific nutrients. Replacement of SFA by MUFA and PUFA has been associated with a decrease in MetS. Dietary recommendations should emphasize on different qualities of fat intake, not only to reduce total fat intake, to obtain health benefits in adults.
Collapse
Affiliation(s)
- Alicia Julibert
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands & CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), E-07122, Palma de Mallorca, Spain
| | - Maria Del Mar Bibiloni
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands & CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), E-07122, Palma de Mallorca, Spain
| | - Josep A Tur
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands & CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), E-07122, Palma de Mallorca, Spain.
| |
Collapse
|
25
|
Hoyas I, Leon-Sanz M. Nutritional Challenges in Metabolic Syndrome. J Clin Med 2019; 8:E1301. [PMID: 31450565 PMCID: PMC6780536 DOI: 10.3390/jcm8091301] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 08/11/2019] [Accepted: 08/19/2019] [Indexed: 12/25/2022] Open
Abstract
Metabolic Syndrome (MetS) is a combination of risk factors for the development of cardiovascular disease (CVD) and type 2 diabetes. Different diagnostic criteria were proposed, but a consensus was reached in 2009 based on values of waist circumference, blood pressure, fasting glycemia, triglycerides, and high-density lipoprotein (HDL)-cholesterol levels. The main underlying etiologic factor is insulin resistance. The quality and quantity of individual macronutrients have an influence on the development and resolution of this syndrome. However, the main treatment goal is weight loss and a decrease in insulin resistance. A controlled energy dietary recommendation, together with moderate levels of physical activity, may positively change the parameters of MetS. However, there is no single dietary or exercise prescription that works for all patients. Dietary patterns such as Mediterranean-style, dietary approaches to stop hypertension (DASH), low-carbohydrate, and low-fat diets can ameliorate insulin resistance and MetS. Long-term adherence to a healthy lifestyle is key in assuring that individuals significantly reduce the risk of CVD and diabetes mellitus.
Collapse
Affiliation(s)
- Irene Hoyas
- Department of Endocrinology and Nutrition, University Hospital Doce de Octubre, 28041 Madrid, Spain
| | | |
Collapse
|
26
|
Arab A, Hadi A, Moosavian SP, Rafie N, Hajianfar H. The Effect of Nutrition Education Program on Overweight/Obese Patients with Non-Alcoholic Fatty Liver Disease: a Single-Blind Parallel Randomized Controlled Trial. Clin Nutr Res 2019; 8:238-246. [PMID: 31384602 PMCID: PMC6675958 DOI: 10.7762/cnr.2019.8.3.238] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 07/20/2019] [Accepted: 07/22/2019] [Indexed: 12/11/2022] Open
Abstract
The aim of this study was to assess the effects of a nutrition education program on overweight/obese patients with non-alcoholic fatty liver disease (NAFLD). This single-blind, parallel randomized controlled trial was conducted on 82 NAFLD patients (mean age 48.89 ± 9.85 years) in Isfahan, Iran. Patients were randomly allocated to receive nutrition education program combined with usual care or usual care alone for 2 months. Metabolic markers, including lipid profile, fasting blood glucose (FBG) and dietary intakes were obtained for each patient at baseline and at the end of the study. Nutrition education intervention resulted in a significant decrease compared with usual care in serum levels of total cholesterol (TC) and triglyceride (TG) (p < 0.05). However, our intervention did not lead to a significant improvement in FBG, low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C), respectively (p > 0.05). Furthermore, energy and sugar intakes of patients were reduced significantly in response to our intervention (p < 0.05). Nutrition education intervention significantly reduced serum levels of TC and TG but did not affect other metabolic markers including FBG, LDL-C, and HDL-C. Also, it could reduce total energy and sugar intake. Thus, this study could be useful to use this educational program for NAFLD patients in order to influence their metabolic markers and dietary intakes. Trial Registration IRCT Identifier: IRCT2014101811763N17.
Collapse
Affiliation(s)
- Arman Arab
- Department of Community Nutrition, School of Nutrition and Food Science, Food Security Research Center, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
| | - Amir Hadi
- Halal Research Center of IRI, FDA, Tehran 314715311, Iran
| | - Seyedeh Parisa Moosavian
- Department of Clinical Nutrition, School of Nutrition and Food Science, Food Security Research Center, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
| | - Nahid Rafie
- Department of Clinical Nutrition, School of Nutrition and Food Science, Food Security Research Center, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran
| | - Hossein Hajianfar
- Food Safety Research Center (salt), Semnan University of Medical Sciences, Semnan 3514799422, Iran.,Department of Nutrition, School of Nutrition and Food Sciences, Semnan University of Medical Sciences, Semnan 3514799422, Iran
| |
Collapse
|
27
|
Grover S, R P, Sahoo S, Gopal S, Nehra R, Ganesh A, Raghavan V, Sankaranarayan A. Relationship of metabolic syndrome and neurocognitive deficits in patients with schizophrenia. Psychiatry Res 2019; 278:56-64. [PMID: 31146142 DOI: 10.1016/j.psychres.2019.05.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2019] [Revised: 05/13/2019] [Accepted: 05/14/2019] [Indexed: 01/23/2023]
Abstract
This study aimed to evaluate the association of the metabolic syndrome (MS) and its components with neurocognition among patients with schizophrenia. 121 patients with schizophrenia from an outpatient service of two psychiatric centers were assessed on a neurocognitive battery and by metabolic measures. More than half (56.2%) of the patients fulfilled the consensus criteria for MS. After controlling/adjusting for various covariates (age, education in years, duration of illness, age of onset, Positive and Negative Symptom scale score and presence of smoking status), it was found that compared to patients without MS, those with MS had significantly poorer performance "in the cognitive domains" of cognitive processing and selective attention (Stroop effect percentile; p value 0.002; effect size-0.45) and auditory and verbal memory (AVLT; p value <0.001; effect size 0.68). Patients with a higher number of abnormal parameters of MS had poorer functioning in the domains of cognitive processing and selective attention, auditory and verbal memory, and executive tasks. To conclude, this two center study suggests that MS has a negative impact on neurocognition in patients with schizophrenia. There is a need to identify and monitor metabolic abnormalities among patients with schizophrenia to minimize the negative effect of metabolic parameters on neurocognition.
Collapse
Affiliation(s)
- Sandeep Grover
- Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh 160012, India.
| | - Padmavati R
- Schizophrenia Research Foundation (SCARF), Chennai, India
| | - Swapnajeet Sahoo
- Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh 160012, India
| | | | - Ritu Nehra
- Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh 160012, India
| | - Arthi Ganesh
- Schizophrenia Research Foundation (SCARF), Chennai, India
| | | | | |
Collapse
|
28
|
Addition of oat bran reduces HDL-C and does not potentialize effect of a low-calorie diet on remission of metabolic syndrome: A pragmatic, randomized, controlled, open-label nutritional trial. Nutrition 2019; 65:126-130. [PMID: 31082790 DOI: 10.1016/j.nut.2019.03.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 02/06/2019] [Accepted: 03/20/2019] [Indexed: 01/03/2023]
Abstract
OBJECTIVES It is unclear whether addition of soluble fiber to a low-calorie diet potentializes weight loss and amelioration of metabolic syndrome (MetS). The aim of this study was to analyze the effects of oat bran on prevalence of MetS and associated disorders. METHODS A pragmatic, randomized controlled, 6-wk nutritional trial was carried out with 154 outpatients (mean age 47.6 ± 12.6 y of age). The intervention group (n = 83) received a low-calorie diet plus 40 g/d of oat bran; the control group (n = 71) received a low-calorie diet only. MetS parameters and prevalence were calculated and compared (using two-tailed statistical tests) before and after follow-up. RESULTS After follow-up, a significant but similar reduction was observed in MetS prevalence (40% reduction, 63% and 64.8% prevalence in intervention and control groups, respectively; P = 0.226), body mass index, body weight, waist circumference, systolic and diastolic blood pressures, triacylglycerides, and blood glucose levels in both groups (P < 0.05). Mean high-density lipoprotein cholesterol (HDL-C) was reduced in the intervention group (43.6 ± 9.6 to 41.2 ± 9.5 mg/dL; P = 0.025), but not in the control group (44.6 ± 10.5 to 44.5 ± 12.1 mg/dL; P = 0.890). There was no significant difference in any of the variables between the groups, although the P-value for HDL-C was almost significant (P = 0.078). Calorie and dietetic fiber intake during the 6-wk period were similar in both groups. CONCLUSIONS Daily consumption of oat bran did not potentialize the beneficial effects of a traditional low-calorie diet on the prevalence of MetS and associated disorders. Additionally, it reduced HDL-C.
Collapse
|
29
|
Irisin and Bone: From Preclinical Studies to the Evaluation of Its Circulating Levels in Different Populations of Human Subjects. Cells 2019; 8:cells8050451. [PMID: 31091695 PMCID: PMC6562988 DOI: 10.3390/cells8050451] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 05/09/2019] [Accepted: 05/10/2019] [Indexed: 12/19/2022] Open
Abstract
Almost four years after the discovery of the anabolic action of irisin on bone in mice, ample clinical evidence is emerging in support of its additional physiological relevance in human bone. Irisin inversely correlates with sclerostin levels in adults with prediabetes and with vertebral fragility fractures in post-menopausal women. Furthermore, in athletes we observed a positive correlation between irisin and bone mineral density at different anatomical sites. Our group also described a positive association between serum irisin and bone status in healthy children and multivariate regression analysis showed that irisin is a stronger determinant of bone mineral status than bone alkaline phosphatase. In children with type 1 diabetes mellitus, serum irisin concentrations are positively associated with bone quality and with glycemic control following continuous subcutaneous insulin infusion. Additionally, our in vitro studies suggest the existence of a negative interplay between PTH and irisin biology and these results were also supported by the observation that post-menopausal women with primary hyperparathyroidism have lower levels of irisin compared to matched controls. In this review, we will focus on recent findings about circulating level of irisin in different populations of human subjects and its correlation with their bone status.
Collapse
|
30
|
Osella AR, Colaianni G, Correale M, Pesole PL, Bruno I, Buongiorno C, Deflorio V, Leone CM, Colucci SC, Grano M, Giannelli G. Irisin Serum Levels in Metabolic Syndrome Patients Treated with Three Different Diets: A Post-Hoc Analysis from a Randomized Controlled Clinical Trial. Nutrients 2018; 10:E844. [PMID: 29958455 PMCID: PMC6073260 DOI: 10.3390/nu10070844] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 06/14/2018] [Accepted: 06/26/2018] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Irisin, a hormone-like myokine, regulates energy homeostasis and mediates the benefits of physical activity on health. METHODS To estimate the effect of different diets on irisin concentrations in subjects with the Metabolic Syndrome (MetS). METHODS Subjects with MetS were derived from a population survey; 163 subjects were enrolled and randomized to a: Low Glycaemic Index (LGID), Mediterranean (MD) or Low Glycaemic Index Mediterranean (LGIMD) Diet, and the groups were compared, also with 80 controls without MetS. Sociodemographic, medical and nutritional data were collected and fasting blood samples drawn. Subjects underwent LUS and bioimpedentiometry. Generalized Estimating Equations were performed. RESULTS At baseline, lower irisin concentrations were observed in MetS subjects. Mean irisin levels increased in all diet groups but only the LGID group reached statistical significance, as well as showing an interaction between LGID and time at the sixth month examination (4.57, 95% CI −1.27, 7.87). There was a positive effect of Vegetable Proteins (0.03, 95% CI −0.01,0.06) and Saturated Fatty Acids (0.04, 95% CI 0.01, 0.07) on irisin concentrations. In the LGIMD, a positive effect on Fat-Free Mass (0.38, 95% CI 0.19, 0.57) and a negative effect on the Body Mass Index (−0.75, 95% CI −1.30, −0.19) were observed. CONCLUSIONS There seems to be a link between diet and muscle physiology. We showed that patients following a LGID had higher levels of irisin, a promising biomarker of muscle activity.
Collapse
Affiliation(s)
- Alberto R Osella
- National Institute of Gastroenterology, "Saverio de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, Italy.
| | - Graziana Colaianni
- Department of Emergency and Organ Transplantation, University of Bari, 70121 Bari, Italy.
| | - Mario Correale
- National Institute of Gastroenterology, "Saverio de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, Italy.
| | - Pasqua L Pesole
- National Institute of Gastroenterology, "Saverio de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, Italy.
| | - Irene Bruno
- National Institute of Gastroenterology, "Saverio de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, Italy.
| | - Claudia Buongiorno
- National Institute of Gastroenterology, "Saverio de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, Italy.
| | - Valentina Deflorio
- National Institute of Gastroenterology, "Saverio de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, Italy.
| | - Carla M Leone
- National Institute of Gastroenterology, "Saverio de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, Italy.
| | - Silvia Concetta Colucci
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari, 70121 Bari, Italy.
| | - Maria Grano
- Department of Emergency and Organ Transplantation, University of Bari, 70121 Bari, Italy.
| | - Gianluigi Giannelli
- National Institute of Gastroenterology, "Saverio de Bellis" Research Hospital, Via Turi 27, 70013 Castellana Grotte, Italy.
| |
Collapse
|
31
|
Effects of a 6-month caloric restriction induced-weight loss program in obese postmenopausal women with and without the metabolic syndrome: a MONET study. Menopause 2018; 24:908-915. [PMID: 28399005 DOI: 10.1097/gme.0000000000000862] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
OBJECTIVE To compare the effects of a caloric restriction (CR) on body composition, lipid profile, and glucose homeostasis in obese postmenopausal women with and without metabolic syndrome (MetS). METHODS Secondary analyses were performed on 73 inactive obese postmenopausal women (age 57.7 ± 4.8 years; body mass index 32.4 ± 4.6 kg/m) who participated in the 6-month CR arm of a study of the Montreal-Ottawa New Emerging Team. The harmonized MetS definition was used to categorize participants with MetS (n = 20, 27.39%) and without MetS (n = 53, 72.61%). Variables of interest were: body composition (dual-energy X-ray absorptiometry), body fat distribution (computed tomography scan), glucose homeostasis at fasting state and during a euglycemic/hyperinsulinemic clamp, fasting lipids, and resting blood pressure. RESULTS By design, the MetS group had a worse cardiometabolic profile, whereas both groups were comparable for age. Fifty-five participants out of 73 displayed no change in MetS status after the intervention. Twelve participants out of 20 (or 60.0%) in the MetS group had no more MetS after weight loss (P = NS), whereas 6 participants out of 53 (or 11.3%) in the other group developed the MetS after the intervention (P = NS). Overall, indices of body composition and body fat distribution improved significantly and similarly in both groups (P between 0.03 and 0.0001). Furthermore, with the exception of triglyceride levels and triglycerides/high-density lipoprotein cholesterol ratio, which decrease significantly more in the MetS group (P ≤ 0.05), no difference was observed between groups for the other variables of the cardiometabolic profile. CONCLUSIONS Despite no overall significant effects on MetS, heteregeneous results were obtained in response to weight loss in the present study, with some improving the MetS, whereas other displaying deteriorations. Further studies are needed to identify factors and phenotypes associated with positive and negative cardiometabolic responses to CR intervention.
Collapse
|
32
|
Nicoll R, Henein MY. Caloric Restriction and Its Effect on Blood Pressure, Heart Rate Variability and Arterial Stiffness and Dilatation: A Review of the Evidence. Int J Mol Sci 2018; 19:E751. [PMID: 29518898 PMCID: PMC5877612 DOI: 10.3390/ijms19030751] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 02/27/2018] [Accepted: 03/02/2018] [Indexed: 02/07/2023] Open
Abstract
Essential hypertension, fast heart rate, low heart rate variability, sympathetic nervous system dominance over parasympathetic, arterial stiffness, endothelial dysfunction and poor flow-mediated arterial dilatation are all associated with cardiovascular mortality and morbidity. This review of randomised controlled trials and other studies demonstrates that caloric restriction (CR) is capable of significantly improving all these parameters, normalising blood pressure (BP) and allowing patients to discontinue antihypertensive medication, while never becoming hypotensive. CR appears to be effective regardless of age, gender, ethnicity, weight, body mass index (BMI) or a diagnosis of metabolic syndrome or type 2 diabetes, but the greatest benefit is usually observed in the sickest subjects and BP may continue to improve during the refeeding period. Exercise enhances the effects of CR only in hypertensive subjects. There is as yet no consensus on the mechanism of effect of CR and it may be multifactorial. Several studies have suggested that improvement in BP is related to improvement in insulin sensitivity, as well as increased nitric oxide production through improved endothelial function. In addition, CR is known to induce SIRT1, a nutrient sensor, which is linked to a number of beneficial effects in the body.
Collapse
Affiliation(s)
- Rachel Nicoll
- Department of Public Health and Clinical Medicine and Heart Centre, Umea University, 901 87 Umea, Sweden.
| | - Michael Y Henein
- Department of Public Health and Clinical Medicine and Heart Centre, Umea University, 901 87 Umea, Sweden.
| |
Collapse
|
33
|
Alfaro FJ, Gavrieli A, Saade-Lemus P, Lioutas VA, Upadhyay J, Novak V. White matter microstructure and cognitive decline in metabolic syndrome: a review of diffusion tensor imaging. Metabolism 2018; 78:52-68. [PMID: 28920863 PMCID: PMC5732847 DOI: 10.1016/j.metabol.2017.08.009] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 08/18/2017] [Accepted: 08/22/2017] [Indexed: 12/13/2022]
Abstract
Metabolic syndrome is a cluster of cardiovascular risk factors defined by the presence of abdominal obesity, glucose intolerance, hypertension and/or dyslipidemia. It is a major public health epidemic worldwide, and a known risk factor for the development of cognitive dysfunction and dementia. Several studies have demonstrated a positive association between the presence of metabolic syndrome and worse cognitive outcomes, however, evidence of brain structure pathology is limited. Diffusion tensor imaging has offered new opportunities to detect microstructural white matter changes in metabolic syndrome, and a possibility to detect associations between functional and structural abnormalities. This review analyzes the impact of metabolic syndrome on white matter microstructural integrity, brain structure abnormalities and their relationship to cognitive function. Each of the metabolic syndrome components exerts a specific signature of white matter microstructural abnormalities. Metabolic syndrome and its components exert both additive/synergistic, as well as, independent effects on brain microstructure thus accelerating brain aging and cognitive decline.
Collapse
Affiliation(s)
- Freddy J Alfaro
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Anna Gavrieli
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Patricia Saade-Lemus
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Vasileios-Arsenios Lioutas
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| | - Jagriti Upadhyay
- Department of Endocrinology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA 02215,USA.
| | - Vera Novak
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 185 Pilgrim Road, Palmer 127, Boston, MA 02215, USA.
| |
Collapse
|
34
|
Yu H, Zhang L, Bao Y, Zhang P, Tu Y, Di J, Han X, Han J, Jia W. Metabolic Syndrome After Roux-en-Y Gastric Bypass Surgery in Chinese Obese Patients with Type 2 Diabetes. Obes Surg 2017; 26:2190-2197. [PMID: 26809584 DOI: 10.1007/s11695-016-2074-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Roux-en-Y gastric bypass (RYGB) surgery is currently the most effective treatment for substantial and sustained weight loss in morbidly obese individuals. We aim to determine the prevalence in Chinese obese patients with type 2 diabetes (T2DM) and the efficacy of surgical treatment of the metabolic syndrome (MetS) and its components with a control group in medical therapy. METHODS A total of 121 obese T2DM individuals who underwent RYGB and 93 nonoperative obese patients with T2DM were enrolled in the study. MetS was defined according to the criteria established by the Chinese Joint Committee for Developing Chinese Guidelines on Prevention and Treatment of Dyslipidemia in Adults (JCDCG). We determined the change in MetS and the prevalence of its components and performed logistic regression models to evaluate predictors of MetS remission. RESULTS One year after RYGB, all MetS components improved in the RYGB group and medication use decreased. Of the RYGB group, MetS prevalence decreased from 108 patients (83.3 %) to 20 (16.5 %), and from 88 patients (94.6 %) to 76 (81.7 %) in the control group. Multiple logistic regression analyses indicated that a shorter diabetes duration and higher percent excess weight loss (%EWL) were associated with a greater chance of MetS remission after surgery. CONCLUSIONS RYGB induces considerable and persistent improvement in MetS prevalence in Chinese obese patients with T2DM. Diabetes duration and %EWL might act as potential prognostic markers in predicting the MetS reversibility.
Collapse
Affiliation(s)
- Haoyong Yu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Lei Zhang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Yuqian Bao
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Pin Zhang
- Department of General Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Yinfang Tu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Jianzhong Di
- Department of General Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Xiaodong Han
- Department of General Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Junfeng Han
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
| |
Collapse
|
35
|
McElroy JA, Gilbert T, Hair EC, Mathews KJ, Redman SD, Williams A. Obese But Fit: The Relationship of Fitness to Metabolically Healthy But Obese Status among Sexual Minority Women. Womens Health Issues 2017; 26 Suppl 1:S81-6. [PMID: 27397921 DOI: 10.1016/j.whi.2015.09.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Revised: 09/15/2015] [Accepted: 09/24/2015] [Indexed: 01/03/2023]
Abstract
PURPOSE The purpose of this study was to describe fitness characteristics of metabolically healthy sexual minority women who are obese. METHODS As part of the Healthy Weight in Lesbian and Bisexual Women Initiative funded by the U.S. Office on Women's Health, one site enrolled self-identified lesbian or bisexual women age 40 and older in a randomized controlled trial that evaluated interventions to improve health. Women with waist-to-height ratio of 0.5 or greater were classified as obese. Women without diabetes or cardiovascular disease and with normal range fasting blood level measurements of glucose, triglycerides, high-density cholesterol, and blood pressure were classified as metabolically healthy but obese (MHO). Otherwise, women were classified as metabolically unhealthy obese (MUHO). Fitness measurements included predicted VO2 maximum, 1-minute heart rate recovery, and strength (single maximal leg lift and chest press). Self-reported demographic and physical activity level data were obtained by standardized questionnaires. RESULTS Of the 53 participants who completed the eligibility screener in Columbia, Missouri, 47 were enrolled in the study (89% participation proportion) with 45 categorized as obese. Approximately one-third (38%) were MHO. The majority of MHO and MUHO participants ranked poor or very poor on a composite fitness score that included measures of strength, flexibility, and aerobic fitness (75.0% and 77.8%, respectively). In the logistic regression models, better 1-minute heart rate recovery after peak exercise performance was significantly associated with MHO individuals (odds ratio, 2.92; 95% CI, 1.13-9.10) compared with MUHO. No other fitness measure was significantly different between the two groups. CONCLUSION Consistent with other studies, we identified more than one-third of our obese sexual minority women as MHO. Fitness measures may be potential predictors of MHO status because one measure, heart rate recovery, was significantly associated with MHO status. With the population prevalence of obesity high and even higher among lesbian or bisexual women, sexual minority women are an ideal population for a longitudinal study to better understand MHO characteristics.
Collapse
Affiliation(s)
- Jane A McElroy
- Department of Family & Community Medicine, University of Missouri, Columbia, Missouri.
| | - Tess Gilbert
- NORC at the University of Chicago, Bethesda, Maryland
| | - Elizabeth C Hair
- Evaluation Science and Research, Truth Initiative, Washington, DC
| | - Katherine J Mathews
- Department of Obstetrics, Gynecology, and Women's Health, Saint Louis University, St. Louis, Missouri
| | | | - Amy Williams
- Department of Family & Community Medicine, University of Missouri, Columbia, Missouri
| |
Collapse
|
36
|
Richard C, Cristall L, Fleming E, Lewis ED, Ricupero M, Jacobs RL, Field CJ. Impact of Egg Consumption on Cardiovascular Risk Factors in Individuals with Type 2 Diabetes and at Risk for Developing Diabetes: A Systematic Review of Randomized Nutritional Intervention Studies. Can J Diabetes 2017; 41:453-463. [PMID: 28359773 DOI: 10.1016/j.jcjd.2016.12.002] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 10/26/2016] [Accepted: 12/02/2016] [Indexed: 12/21/2022]
Abstract
Observational studies have reported inconclusive results regarding the relationship between egg consumption (and dietary cholesterol) and the risk for cardiovascular diseases (CVDs) in individuals with type 2 diabetes, which has led to inconsistent recommendations to patients. We reviewed the evidence of egg consumption on major CVD risk factors in individuals with or at risk for type 2 diabetes (prediabetes, insulin resistance or metabolic syndrome). We performed a systematic search in the databases PubMed, MEDLINE, EMBASE and Web of Science in January 2016. Inclusion criteria included randomized controlled trials in which the amount of egg consumed was manipulated and compared to a control group that received no-egg or low-egg diets (<2 eggs/week). We found 10 articles (6 original trials) that met our inclusion criteria. The majority of studies found that egg consumption did not affect major CVD risk factors. Consumption of 6 to 12 eggs per week had no impact on plasma concentrations of total cholesterol, low-density lipoprotein-cholesterol, triglycerides, fasting glucose, insulin or C-reactive protein in all studies that reported these outcomes in comparison with control groups. An increase in high-density lipoprotein-cholesterol with egg consumption was observed in 4 of 6 studies. Results from randomized controlled trials suggest that consumption of 6 to 12 eggs per week, in the context of a diet that is consistent with guidelines on cardiovascular health promotion, has no adverse effect on major CVD risk factors in individuals at risk for developing diabetes or with type 2 diabetes. However, heterogeneities in study design, population included and interventions prevent firm conclusions from being drawn.
Collapse
Affiliation(s)
- Caroline Richard
- Department of Agricultural Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Lisa Cristall
- Department of Agricultural Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Emily Fleming
- Department of Agricultural Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Erin D Lewis
- Department of Agricultural Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Maria Ricupero
- UHN Toronto Rehabilitation Institute, Toronto, Ontario, Canada
| | - René L Jacobs
- Department of Agricultural Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Catherine J Field
- Department of Agricultural Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
| |
Collapse
|
37
|
Peyer KL, Ellingson LD, Bus K, Walsh SA, Franke WD, Welk GJ. Comparative effectiveness of guided weight loss and physical activity monitoring for weight loss and metabolic risks: A pilot study. Prev Med Rep 2017; 6:271-277. [PMID: 28409089 PMCID: PMC5385579 DOI: 10.1016/j.pmedr.2017.03.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2016] [Revised: 03/02/2017] [Accepted: 03/13/2017] [Indexed: 11/19/2022] Open
Abstract
Many consumer-based physical activity monitors (PAMs) are available but it is not clear how to use them to most effectively promote weight loss. The purpose of this pilot study was to compare the effectiveness of a personal PAM, a guided weight loss program (GWL), and the combination of these approaches on weight loss and metabolic risk. Participants completed the study in two cohorts: Fall 2010 and Spring 2011. A sample of 72 obese individuals in the Ames, IA area were randomized to one of 3 conditions: 1) (GWL, N = 31), 2) PAM, N = 29, or 3) a combination group (PAM + GWL, N = 29). Weight and metabolic syndrome score (MetS), computed from waist circumference (WC), BMI, blood pressure (BP), and lipids were assessed at baseline and following an 8-week intervention. Weight was also assessed four months later. Two-way (Group × Time) ANOVAs examined intervention effects and maintenance. Effect sizes were used to compare magnitude of improvements among groups. During the intervention, all groups demonstrated significant improvements in weight and MetS (mean weight loss = 4.16 kg, p < 0.001). Mean weight continued to decline modestly during follow-up, with average weight loss of 4.82 kg from baseline (p < 0.01). There were no group differences for weight loss but the PAM + GWL group had significantly larger changes in MetS score (d = 0.06-0.77). The use of PAM resulted in significant improvements in weight and MetS that were maintained across a four-month follow-up. Evidence suggests that the addition of GWL contributed to enhanced metabolic outcomes.
Collapse
Affiliation(s)
- Karissa L. Peyer
- University of Tennessee at Chattanooga, 105 Metropolitan Building, 518 Oak Street, Chattanooga, TN 37403, USA
- Corresponding author.
| | | | - Kathryn Bus
- Iowa State University, Department of Kinesiology, USA
| | | | | | | |
Collapse
|
38
|
Wade AT, Davis CR, Dyer KA, Hodgson JM, Woodman RJ, Keage HAD, Murphy KJ. A Mediterranean Diet to Improve Cardiovascular and Cognitive Health: Protocol for a Randomised Controlled Intervention Study. Nutrients 2017; 9:E145. [PMID: 28212320 PMCID: PMC5331576 DOI: 10.3390/nu9020145] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Revised: 01/24/2017] [Accepted: 02/09/2017] [Indexed: 02/07/2023] Open
Abstract
The Mediterranean diet has demonstrated efficacy for improving cardiovascular and cognitive health. However, a traditional Mediterranean diet delivers fewer serves of dairy and less dietary calcium than is currently recommended in Australia, which may limit long-term sustainability. The present study aims to evaluate whether a Mediterranean diet with adequate dairy and calcium can improve cardiovascular and cognitive function in an at-risk population, and thereby reduce risk of cardiovascular disease (CVD) and cognitive decline. A randomised, controlled, parallel, crossover design trial will compare a Mediterranean diet supplemented with dairy foods against a low-fat control diet. Forty participants with systolic blood pressure above 120 mmHg and at least two other risk factors of CVD will undertake each dietary intervention for eight weeks, with an eight-week washout period between interventions. Systolic blood pressure will be the primary measure of interest. Secondary outcomes will include measures of cardiometabolic health, dietary compliance, cognitive function, assessed using the Cambridge Neuropsychological Test Automated Battery (CANTAB), psychological well-being and dementia risk. This research will provide empirical evidence as to whether the Mediterranean diet can be modified to provide recommended dairy and calcium intakes while continuing to deliver positive effects for cardiovascular and cognitive health. The findings will hold relevance for the field of preventative healthcare and may contribute to revisions of national dietary guidelines.
Collapse
Affiliation(s)
- Alexandra T Wade
- Alliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, GPO Box 2471, Adelaide SA 5001, Australia.
| | - Courtney R Davis
- Alliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, GPO Box 2471, Adelaide SA 5001, Australia.
| | - Kathryn A Dyer
- Alliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, GPO Box 2471, Adelaide SA 5001, Australia.
| | - Jonathan M Hodgson
- School of Medicine and Pharmacology, Faculty of Medicine, Dentistry and Health Sciences, University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia.
- School of Medical and Health Sciences, Edith Cowan University, Joondalup WA 6027, Australia.
| | - Richard J Woodman
- Flinders Centre for Epidemiology and Biostatistics, Flinders University, GPO Box 2100, Adelaide SA 5001, Australia.
| | - Hannah A D Keage
- Cognitive Ageing and Impairment Neurosciences, School of Psychology, Social Work and Social Policy, University of South Australia, GPO Box 2471, Adelaide SA 5001, Australia.
| | - Karen J Murphy
- Alliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, GPO Box 2471, Adelaide SA 5001, Australia.
| |
Collapse
|
39
|
Abstract
The common clustering of glucose intolerance, insulin resistance, abdominal adiposity, elevated blood pressure, and low HDL cholesterol is referred to as metabolic syndrome. Individuals with this syndrome have an increased risk of developing cardiovascular disease (CVD). The World Health Organisation and the National Cholesterol Education Programme’s Adult Treatment Panel III (NCEP-ATP III) have outlined specific diagnostic criteria for the diagnosis of the metabolic syndrome to help in the Identification of this syndrome in clinical practice. While the WHO criteria were specifically developed for use in research, the NCEP criteria are useful in clinical diagnosis of the metabolic syndrome. The metabolic syndrome is amenable to lifestyle modifications such as increased physical activity, weight loss, and possibly intake of low-glycemic foods. Drug therapy may be used to treat individual components of the syndrome such as elevated blood pressure and dyslipidemia. To control elevated glucose levels (when there is failure of lifestyle modification), medications such as metformin, thiazolidinedione derivatives and alpha glucosidase inhibitors may be used.
Collapse
Affiliation(s)
- Dorairaj Prabhakaran
- Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Canada
| | | |
Collapse
|
40
|
Han TS, Lean ME. A clinical perspective of obesity, metabolic syndrome and cardiovascular disease. JRSM Cardiovasc Dis 2016; 5:2048004016633371. [PMID: 26998259 PMCID: PMC4780070 DOI: 10.1177/2048004016633371] [Citation(s) in RCA: 220] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2015] [Revised: 01/21/2016] [Accepted: 01/22/2016] [Indexed: 12/25/2022] Open
Abstract
The metabolic syndrome is a condition characterized by a special constellation of reversible major risk factors for cardiovascular disease and type 2 diabetes. The main, diagnostic, components are reduced HDL-cholesterol, raised triglycerides, blood pressure and fasting plasma glucose, all of which are related to weight gain, specifically intra-abdominal/ectopic fat accumulation and a large waist circumference. Using internationally adopted arbitrary cut-off values for waist circumference, having metabolic syndrome doubles the risk of cardiovascular disease, but offers an effective treatment approach through weight management. Metabolic syndrome now affects 30-40% of people by age 65, driven mainly by adult weight gain, and by a genetic or epigenetic predisposition to intra-abdominal/ectopic fat accumulation related to poor intra-uterine growth. Metabolic syndrome is also promoted by a lack of subcutaneous adipose tissue, low skeletal muscle mass and anti-retroviral drugs. Reducing weight by 5-10%, by diet and exercise, with or without, anti-obesity drugs, substantially lowers all metabolic syndrome components, and risk of type 2 diabetes and cardiovascular disease. Other cardiovascular disease risk factors such as smoking should be corrected as a priority. Anti-diabetic agents which improve insulin resistance and reduce blood pressure, lipids and weight should be preferred for diabetic patients with metabolic syndrome. Bariatric surgery offers an alternative treatment for those with BMI ≥ 40 or 35-40 kg/m(2) with other significant co-morbidity. The prevalence of the metabolic syndrome and cardiovascular disease is expected to rise along with the global obesity epidemic: greater emphasis should be given to effective early weight-management to reduce risk in pre-symptomatic individuals with large waists.
Collapse
Affiliation(s)
- Thang S Han
- Institute of Cardiovascular Research, Royal Holloway, University of London (ICR2UL) and Ashford and St Peter's NHS Foundation Trust, UK
| | - Mike Ej Lean
- Human Nutrition, School of Medicine, University of Glasgow, UK
| |
Collapse
|
41
|
Wong Y, Cook P, Roderick P, Somani BK. Metabolic Syndrome and Kidney Stone Disease: A Systematic Review of Literature. J Endourol 2016; 30:246-53. [PMID: 26576717 DOI: 10.1089/end.2015.0567] [Citation(s) in RCA: 90] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Worldwide obesity has more than doubled since 1980 with more than 600 million obese patients in 2014. Metabolic syndrome (MetS) is the co-occurrence of metabolic abnormalities, including centrally distributed obesity, hypertension, dyslipidemia, and hyperglycemia. With a concurrent rise in the incidence of kidney stone disease, we wanted to conduct a systematic review focused on the association of MetS to nephrolithiasis. MATERIALS AND METHODS A systematic review was performed according to the Cochrane and preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines on all English language articles for the following relevant keywords: association, metabolic syndrome, metabolic syndrome traits, syndrome X, nephrolithiasis, kidney stones, and renal calculi. Our inclusion criteria were studies comparing the prevalence of kidney stone disease in patients with and without MetS. RESULTS The initial literature search identified 355 potentially relevant studies. After screening, 22 full text articles were reviewed and 6 (219,255 patients) were included in the final review. All studies displayed increasing odds of nephrolithiasis with increasing number of MetS traits, where patients with three or more MetS traits tended to have a higher prevalence of nephrolithiasis. Studies also showed different significant components of MetS contributing to nephrolithiasis. CONCLUSIONS Our review shows a definite association of MetS with kidney stone disease. Although multifactorial in etiology, lifestyle and dietary factors seem to be increasingly important in prevention of stone disease.
Collapse
Affiliation(s)
- Yee Wong
- 1 Department of Urology, University Hospital Southampton NHS Foundation Trust , Southampton, United Kingdom
| | - Paul Cook
- 2 Department of Chemical Pathology, University Hospital Southampton NHS Foundation Trust , Southampton, United Kingdom
| | - Paul Roderick
- 3 Public Health, Primary Care and Population Sciences (PCPS), University Hospital Southampton NHS Foundation Trust , Southampton, United Kingdom
| | - Bhaskar K Somani
- 1 Department of Urology, University Hospital Southampton NHS Foundation Trust , Southampton, United Kingdom
| |
Collapse
|
42
|
The Implications of Obesity for Cardiac Arrhythmia Mechanisms and Management. Can J Cardiol 2015; 31:203-10. [DOI: 10.1016/j.cjca.2014.10.027] [Citation(s) in RCA: 67] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Revised: 10/23/2014] [Accepted: 10/23/2014] [Indexed: 01/02/2023] Open
|
43
|
Babio N, Toledo E, Estruch R, Ros E, Martínez-González MA, Castañer O, Bulló M, Corella D, Arós F, Gómez-Gracia E, Ruiz-Gutiérrez V, Fiol M, Lapetra J, Lamuela-Raventos RM, Serra-Majem L, Pintó X, Basora J, Sorlí JV, Salas-Salvadó J. Mediterranean diets and metabolic syndrome status in the PREDIMED randomized trial. CMAJ 2014; 186:E649-57. [PMID: 25316904 PMCID: PMC4234734 DOI: 10.1503/cmaj.140764] [Citation(s) in RCA: 192] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Little evidence exists on the effect of an energy-unrestricted healthy diet on metabolic syndrome. We evaluated the long-term effect of Mediterranean diets ad libitum on the incidence or reversion of metabolic syndrome. METHODS We performed a secondary analysis of the PREDIMED trial--a multicentre, randomized trial done between October 2003 and December 2010 that involved men and women (age 55-80 yr) at high risk for cardiovascular disease. Participants were randomly assigned to 1 of 3 dietary interventions: a Mediterranean diet supplemented with extra-virgin olive oil, a Mediterranean diet supplemented with nuts or advice on following a low-fat diet (the control group). The interventions did not include increased physical activity or weight loss as a goal. We analyzed available data from 5801 participants. We determined the effect of diet on incidence and reversion of metabolic syndrome using Cox regression analysis to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS Over 4.8 years of follow-up, metabolic syndrome developed in 960 (50.0%) of the 1919 participants who did not have the condition at baseline. The risk of developing metabolic syndrome did not differ between participants assigned to the control diet and those assigned to either of the Mediterranean diets (control v. olive oil HR 1.10, 95% CI 0.94-1.30, p = 0.231; control v. nuts HR 1.08, 95% CI 0.92-1.27, p = 0.3). Reversion occurred in 958 (28.2%) of the 3392 participants who had metabolic syndrome at baseline. Compared with the control group, participants on either Mediterranean diet were more likely to undergo reversion (control v. olive oil HR 1.35, 95% CI 1.15-1.58, p < 0.001; control v. nuts HR 1.28, 95% CI 1.08-1.51, p < 0.001). Participants in the group receiving olive oil supplementation showed significant decreases in both central obesity and high fasting glucose (p = 0.02); participants in the group supplemented with nuts showed a significant decrease in central obesity. INTERPRETATION A Mediterranean diet supplemented with either extra virgin olive oil or nuts is not associated with the onset of metabolic syndrome, but such diets are more likely to cause reversion of the condition. An energy-unrestricted Mediterranean diet may be useful in reducing the risks of central obesity and hyperglycemia in people at high risk of cardiovascular disease. TRIAL REGISTRATION ClinicalTrials.gov, no. ISRCTN35739639.
Collapse
Affiliation(s)
- Nancy Babio
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Estefanía Toledo
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Ramón Estruch
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Emilio Ros
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Miguel A. Martínez-González
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Olga Castañer
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Mònica Bulló
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Dolores Corella
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Fernando Arós
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Enrique Gómez-Gracia
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Valentina Ruiz-Gutiérrez
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Miquel Fiol
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - José Lapetra
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Rosa M. Lamuela-Raventos
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Lluís Serra-Majem
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Xavier Pintó
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Josep Basora
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - José V. Sorlí
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| | - Jordi Salas-Salvadó
- Human Nutrition Unit (Babio, Bulló, Basora, Salas-Salvadó), Faculty of Medicine and Health Sciences, Biochemistry Biotechnology Department, Universitat Rovira i Virgili, and Hospital Universitari de Sant Joan de Reus, IISPV, Reus, Spain; Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) (Babio, Toledo, Estruch, Martínez-González, Castañer, Bulló, Corella, Arós, Gómez-Gracia, Ruiz-Gutiérrez, Fiol, Lapetra, Lamuela-Raventos, Serra-Majem, Pintó, Basora, Sorlí, Salas-Salvadó), Institute of Health Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health (Toledo, Martínez-González), University of Navarra, Pamplona, Spain; Department of Internal Medicine (Estruch), Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain; Lipid Clinic (Ros), Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, University of Barcelona, Barcelona, Spain; Cardiovascular Risk and Nutrition Research Group (Castañer), Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Barcelona Biomedical Research Park, Barcelona, Spain; Department of Preventive Medicine (Corella, Sorlí), University of Valencia, València, Spain; Department of Cardiology (Arós), University Hospital Txagorritxu, Vitoria, Spain; Department of Preventive Medicine (Gómez-Gracia), University of Malaga, Malaga, Spain; Instituto de la Grasa (Ruiz-Gutiérrez), Consejo Superior de Investigaciones Cientificas, Seville; Instituto de Investigación Sanitaria de Palma (Fiol), Hospital Universitario Son Espases, Mallorca; Department of Family Medicine (Lapetra), Primary Care Division of Seville, San Pablo Health Center, Seville; Department of Nutrition and Food Science (Lamuela-Raventos), School of Pharmacy, Xarxa de Referència en Tecnologia dels Aliments, Instituto de Investigación en Nutrición y Seguridad Alimentaria, University of Barcelona, Barcelona, Spain; Department of Clinical Sciences (Serra-Majem), University of Las Palmas de Gran Canaria, Las Palmas, Spain; Lipids and Vascular Risk Unit (Pintó), Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain; Primary Care Division (Basora), Catalan Institute of Health, Institut Universitari d’Investigació en Atenció Primària Jordi Gol, Tarragona-Reus, Spain
| |
Collapse
|
44
|
Abstract
Background: Metabolic syndrome (MetS) is a cluster of established cardiovascular risk factors that collectively increase predisposition to major chronic diseases, including heart diseases and diabetes mellitus. Citizens of developing countries such as Saudi Arabia are at risk for MetS as a result of industrialization and accessibility to fast foods. In this epidemiologic study, the kingdom-wide prevalence of MetS is determined. Materials and Methods: A total of 4578 Saudis aged 15-64 was randomly selected from 20 regions in Saudi Arabia. Anthropometrics were collected, and fasting blood samples collected to ascertain fasting blood glucose and lipid profile. Components of full MetS as defined by the International Diabetes Federation were used for screening. Results: The overall prevalence of MetS is 28.3%. Prevalence was significantly higher in males than in females (31.4 vs. 25.2%; P = 0.001). Prevalence of MetS was the highest in the northern and central region, and showed a parallel increase with age, and inversely with educational status. Region was also a significant contributor to MetS. Conclusion: Despite accumulating evidence of an epidemic, MetS remains largely unresolved in the kingdom. Aggressive public campaign should be launched, and policies implemented to control any future damage of MetS in the kingdom.
Collapse
Affiliation(s)
- Naji J Aljohani
- Department of Medicine, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia
| |
Collapse
|
45
|
Rutter MK, Sullivan LM, Fox CS, Wilson PW, Nathan DM, Vasan RS, D'Agostino RB, Meigs JB. Baseline levels, and changes over time in body mass index and fasting insulin, and their relationship to change in metabolic trait clustering. Metab Syndr Relat Disord 2014; 12:372-80. [PMID: 25007010 PMCID: PMC4209491 DOI: 10.1089/met.2013.0148] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Multiple abnormal metabolic traits are found together or "cluster" within individuals more often than is predicted by chance. The individual and combined role of adiposity and insulin resistance (IR) on metabolic trait clustering is uncertain. We tested the hypothesis that change in trait clustering is a function of both baseline level and change in these measures. METHODS In 2616 nondiabetic Framingham Offspring Study participants, body mass index (BMI) and fasting insulin were related to a within-person 7-year change in a trait score of 0-4 Adult Treatment Panel III metabolic syndrome traits (hypertension, high triglycerides, low high-density lipoprotein cholesterol, hyperglycemia). RESULTS At baseline assessment, mean trait score was 1.4 traits, and 7-year mean (SEM) change in trait score was +0.25 (0.02) traits, P<0.0001. In models with BMI predictors only, for every quintile difference in baseline BMI, the 7-year trait score increase was 0.14 traits, and for every quintile increase in BMI during 7-year follow-up, the trait score increased by 0.3 traits. Baseline level and change in fasting insulin were similarly related to trait score change. In models adjusted for age-sex-baseline cluster score, 7-year change in trait score was significantly related to both a 1-quintile difference in baseline BMI (0.07 traits) and fasting insulin (0.18 traits), and to both a 1-quintile 7-year increase in BMI (0.21 traits) and fasting insulin (0.18 traits). CONCLUSIONS Change in metabolic trait clustering was significantly associated with baseline levels and changes in both BMI and fasting insulin, highlighting the importance of both obesity and IR in the clustering of metabolic traits.
Collapse
Affiliation(s)
- Martin K Rutter
- The Endocrinology and Diabetes Research Group, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, and Manchester Diabetes Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Lisa M. Sullivan
- Department of Biostatistics, Boston University, Boston, Massachusetts
| | - Caroline S. Fox
- Harvard Medical School, Boston, Massachusetts
- National Heart, Lung, and Blood Institute and Framingham (Mass) Heart Study, Framingham, Massachusetts
- Department of Endocrinology and Metabolism, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - David M. Nathan
- Harvard Medical School, Boston, Massachusetts
- General Medicine Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Ramachandran S. Vasan
- National Heart, Lung, and Blood Institute and Framingham (Mass) Heart Study, Framingham, Massachusetts
- Evans Department of Medicine and Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, Massachusetts
| | - Ralph B. D'Agostino
- Department of Mathematics and Statistics/Consulting Unit, Boston University, Boston, Massachusetts
| | - James B. Meigs
- Harvard Medical School, Boston, Massachusetts
- General Medicine Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| |
Collapse
|
46
|
Norén E, Forssell H. Very low calorie diet without aspartame in obese subjects: improved metabolic control after 4 weeks treatment. Nutr J 2014; 13:77. [PMID: 25069603 PMCID: PMC4121621 DOI: 10.1186/1475-2891-13-77] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2014] [Accepted: 07/16/2014] [Indexed: 01/14/2023] Open
Abstract
Background Very low calorie diet (VLCD) is routinely used in programs for treatment of obesity and before bariatric surgery in order to reduce risk of postoperative complications. Aspartame, an artificial sweetener, is commonly used in VLCD and is well approved as a food additive without any adverse effects. The development of a new fructose containing VLCD formula without aspartame raises questions as to effects on glucose and lipid control. Methods As part of an ongoing study of a novel bariatric surgery procedure, twenty-five obese subjects with mean body mass index (BMI) 39.8 kg/m2 and mean age of 48.8 years enrolled in a single center observational study. Seven subjects presented with type 2 diabetes mellitus. The subjects underwent four weeks dietary treatment with VLCD Slanka (Slanka®). Blood samples including fasting plasma glucose, HbA1c, cholesterol and triglycerides were performed at start and after four weeks of diet. Blood pressure and weight were noted. Results All subjects completed the diet without any adverse events. Mean weight reduction was 8.2 kg with 95% confidence interval 7.1–9.2 kg (p = 0.001). Excess weight (i.e. proportion of weight exceeding BMI 25) loss decreased by median 19.5% (inter quartile range (IQR) 16,8-24,2). Median fasting plasma glucose was at inclusion 5,6 mmol/l (IQR 5,3-6,8) and after diet 4.8 mmol/l (IQR 4,6-5,2) (p = 0.001). Median HbA1c changed from 39 mmol/mol (IQR 37–44) to 37 mmol/mol (IQR 35–43) (p = 0.001). There was also significant reduction in cholesterol and triglyceride levels as well as in systolic blood pressure. Changes in other monitored blood chemistry values were without clinical importance. Conclusion Four weeks treatment with fructose containing VLCD of obese subjects preparing for bariatric surgery gave a substantial weight reduction without any significant negative metabolic effects.
Collapse
Affiliation(s)
- Erik Norén
- Department of General Surgery, Blekinge County Hospital, Lasarettsvägen, 371 85 Karlskrona, Sweden.
| | | |
Collapse
|
47
|
Papp I, Czeglédi E, Udvardy-Mészáros Á, Vizin G, Perczel Forintos D. [Outcome of a one-year behavior therapy weight loss program]. Orv Hetil 2014; 155:1196-202. [PMID: 25063702 DOI: 10.1556/oh.2014.29948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Treatment of obesity has become one of the most challenging issues. AIM The aims of the authors were to present the results of standard behavior therapy weight loss program combined with self-help and the results of one-year follow-up. METHOD The 24-week program involved 41 participants of which 33 subjects participated in the follow-up. Anthropometric data were obtained and the participants were asked to fill questionnaires (the 21 items Three Factor Eating Questionnair Revised 21 items; Physical Exercise: Steps of change [Short Form]. RESULTS 87.8% of participants achieved a minimum weight loss of 5% which is the rate expected in professional therapies for obesity. Significant changes in maladaptive eating pattern and an increase in the rate of regular exercise were observed. Significant association was found between the increase of cognitive restraint and the rate of weight loss during treatment. At one-year follow-up the majority of participants (75.8%) did keep their minimum weight loss of 5% and they showed significant change in eating pattern. CONCLUSIONS The results suggest that standard behavior therapy extended with self-help elements may be a cost-effective treatment of obesity.
Collapse
Affiliation(s)
- Ildikó Papp
- Semmelweis Egyetem, Általános Orvostudományi Kar Klinikai Pszichológia Tanszék Budapest Tömő u. 25-29. 1083 Semmelweis Egyetem, Általános Orvostudományi Kar Magatartástudományi Intézet Budapest Országos Egészségfejlesztési Intézet Budapest
| | - Edit Czeglédi
- Semmelweis Egyetem, Általános Orvostudományi Kar Magatartástudományi Intézet Budapest
| | - Ágnes Udvardy-Mészáros
- Semmelweis Egyetem, Általános Orvostudományi Kar Klinikai Pszichológia Tanszék Budapest Tömő u. 25-29. 1083
| | - Gabriella Vizin
- Semmelweis Egyetem, Általános Orvostudományi Kar Pszichiátriai és Pszichoterápiás Klinika Budapest
| | - Dóra Perczel Forintos
- Semmelweis Egyetem, Általános Orvostudományi Kar Klinikai Pszichológia Tanszék Budapest Tömő u. 25-29. 1083
| |
Collapse
|
48
|
Yagi S, Kadota M, Aihara KI, Nishikawa K, Hara T, Ise T, Ueda Y, Iwase T, Akaike M, Shimabukuro M, Katoh S, Sata M. Association of lower limb muscle mass and energy expenditure with visceral fat mass in healthy men. Diabetol Metab Syndr 2014; 6:27. [PMID: 24571923 PMCID: PMC3945716 DOI: 10.1186/1758-5996-6-27] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2013] [Accepted: 02/19/2014] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND A high-calorie diet and physical inactivity, an imbalance between caloric intake and energy consumption, are major causes of metabolic syndrome (MetS), which manifests as accumulation of visceral fat and insulin resistance. However, the lifestyle-related factors associated with visceral fat mass in healthy men are not fully understood. METHODS We evaluated visceral fat area (VFA), skeletal muscle mass, caloric intake, and energy expenditure in 67 healthy male participants (mean age, 36.9 ± 8.8 years; body mass index 23.4 ± 2.5 kg/m2). RESULTS Multiple regression analysis showed that the total skeletal muscle mass (P < 0.001) were negatively and age (P < 0.001) were positively associated with VFA. Lower limb muscle mass (P < 0.001) was strongly associated with VFA. However, total caloric intake, total energy expenditure, and energy expenditure during exercise were not associated with VFA. CONCLUSIONS Skeletal muscle mass especially lower limb muscle mass negatively contributes to visceral fat mass in healthy men. Therefore, maintaining lower limb muscular fitness through daily activity may be a useful strategy for controlling visceral obesity and metabolic syndrome.
Collapse
Affiliation(s)
- Shusuke Yagi
- Department of Cardiovascular Medicine, The University of Tokushima Graduate School of Health Biosciences, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan
| | - Muneyuki Kadota
- Department of Cardiovascular Medicine, The University of Tokushima Graduate School of Health Biosciences, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan
| | - Ken-ichi Aihara
- Department of Medicine and Bioregulatory Sciences, The University of Tokushima Graduate School of Health Biosciences, Tokushima, Japan
| | - Koji Nishikawa
- Department of Rehabilitation, Tokushima University Hospital, Tokushima, Japan
| | - Tomoya Hara
- Department of Cardiovascular Medicine, The University of Tokushima Graduate School of Health Biosciences, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan
| | - Takayuki Ise
- Department of Cardiovascular Medicine, The University of Tokushima Graduate School of Health Biosciences, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan
| | - Yuka Ueda
- Department of Cardiovascular Medicine, The University of Tokushima Graduate School of Health Biosciences, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan
| | - Takashi Iwase
- Department of Cardiovascular Medicine, The University of Tokushima Graduate School of Health Biosciences, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan
| | - Masashi Akaike
- Department of Medical Education, The University of Tokushima Graduate School of Health Biosciences, Tokushima, Japan
| | - Michio Shimabukuro
- Department of Cardio-Diabetes Medicine, The University of Tokushima Graduate School of Health Biosciences, Tokushima, Japan
| | - Shinsuke Katoh
- Department of Rehabilitation, Tokushima University Hospital, Tokushima, Japan
| | - Masataka Sata
- Department of Cardiovascular Medicine, The University of Tokushima Graduate School of Health Biosciences, 3-18-15 Kuramoto-cho, Tokushima 770-8503, Japan
| |
Collapse
|
49
|
Richard C, Couture P, Ooi EM, Tremblay AJ, Desroches S, Charest A, Lichtenstein AH, Lamarche B. Effect of Mediterranean Diet With and Without Weight Loss on Apolipoprotein B
100
Metabolism in Men With Metabolic Syndrome. Arterioscler Thromb Vasc Biol 2014; 34:433-8. [DOI: 10.1161/atvbaha.113.302185] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Objective—
To assess the effect of a Mediterranean diet (MedDiet) with and without weight loss (WL) on apolipoprotein B
100
(apoB
100
) metabolism in men with metabolic syndrome.
Approach and Results—
The diet of 19 men with metabolic syndrome (age, 24–62 years) was first standardized to a North American isoenergetic control diet for 5 weeks, followed by an isoenergetic MedDiet for an additional 5 weeks under full-feeding conditions (MedDiet−WL). Participants next underwent a 20-week supervised WL program under free-living conditions (−10.2±2.9% body weight;
P
<0.01) and finally consumed the MedDiet (5 weeks) under weight-stabilizing feeding conditions (MedDiet+WL). In vivo kinetic of apoB
100
was assessed in the fasted state at the end of the 3 controlled diets using a bolus of D
3
-leucine. Compared with the control diet, MedDiet−WL reduced low-density lipoprotein (LDL)-apoB
100
pool size (−14.2%,
P
<0.01) primarily through an increase in LDL-apoB
100
fractional catabolic rate (+30.4%,
P
=0.02) and increased LDL particle size (
P
<0.01) but had no effect on very-LDL (VLDL)-apoB
100
pool size or triglyceride concentrations, despite a significant increase in VLDL-apoB
100
fractional catabolic rate (+25.6%;
P
=0.03). MedDiet+WL had no further effect on LDL-apoB
100
pool size and fractional catabolic rate but further increased LDL particle size and reduced VLDL-apoB
100
pool size versus the control diet primarily through an increase in VLDL-apoB
100
fractional catabolic rate (+30.7%;
P
<0.01).
Conclusions—
Consumption of MedDiet increases LDL size and reduces LDL-apoB
100
concentrations primarily by increasing the catabolism of LDL even in the absence of WL in men with metabolic syndrome. MedDiet seems to have a trivial effect on VLDL concentrations and kinetics unless accompanied by significant WL.
Clinical Trial Registration
—URL:
http://www.clinicaltrials.gov
. Unique identifier: NCT00988650.
Collapse
Affiliation(s)
- Caroline Richard
- From the Institute of Nutrition and Functional Foods, Laval University, Quebec City, Quebec, Canada (C.R., P.C., A.J.T., S.D., A.C., B.L.); Metabolic Research Centre, School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia (E.M.M.O.); and Cardiovascular Nutrition Laboratory, Tufts University, Boston, MA (A.H.L.)
| | - Patrick Couture
- From the Institute of Nutrition and Functional Foods, Laval University, Quebec City, Quebec, Canada (C.R., P.C., A.J.T., S.D., A.C., B.L.); Metabolic Research Centre, School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia (E.M.M.O.); and Cardiovascular Nutrition Laboratory, Tufts University, Boston, MA (A.H.L.)
| | - Esther M.M. Ooi
- From the Institute of Nutrition and Functional Foods, Laval University, Quebec City, Quebec, Canada (C.R., P.C., A.J.T., S.D., A.C., B.L.); Metabolic Research Centre, School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia (E.M.M.O.); and Cardiovascular Nutrition Laboratory, Tufts University, Boston, MA (A.H.L.)
| | - André J. Tremblay
- From the Institute of Nutrition and Functional Foods, Laval University, Quebec City, Quebec, Canada (C.R., P.C., A.J.T., S.D., A.C., B.L.); Metabolic Research Centre, School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia (E.M.M.O.); and Cardiovascular Nutrition Laboratory, Tufts University, Boston, MA (A.H.L.)
| | - Sophie Desroches
- From the Institute of Nutrition and Functional Foods, Laval University, Quebec City, Quebec, Canada (C.R., P.C., A.J.T., S.D., A.C., B.L.); Metabolic Research Centre, School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia (E.M.M.O.); and Cardiovascular Nutrition Laboratory, Tufts University, Boston, MA (A.H.L.)
| | - Amélie Charest
- From the Institute of Nutrition and Functional Foods, Laval University, Quebec City, Quebec, Canada (C.R., P.C., A.J.T., S.D., A.C., B.L.); Metabolic Research Centre, School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia (E.M.M.O.); and Cardiovascular Nutrition Laboratory, Tufts University, Boston, MA (A.H.L.)
| | - Alice H. Lichtenstein
- From the Institute of Nutrition and Functional Foods, Laval University, Quebec City, Quebec, Canada (C.R., P.C., A.J.T., S.D., A.C., B.L.); Metabolic Research Centre, School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia (E.M.M.O.); and Cardiovascular Nutrition Laboratory, Tufts University, Boston, MA (A.H.L.)
| | - Benoît Lamarche
- From the Institute of Nutrition and Functional Foods, Laval University, Quebec City, Quebec, Canada (C.R., P.C., A.J.T., S.D., A.C., B.L.); Metabolic Research Centre, School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia (E.M.M.O.); and Cardiovascular Nutrition Laboratory, Tufts University, Boston, MA (A.H.L.)
| |
Collapse
|
50
|
Papadaki A, Linardakis M, Plada M, Larsen TM, Damsgaard CT, van Baak MA, Jebb S, Pfeiffer AFH, Martinez JA, Handjieva-Darlenska T, Kunešová M, Holst C, Saris WHM, Astrup A, Kafatos A. Impact of weight loss and maintenance with ad libitum diets varying in protein and glycemic index content on metabolic syndrome. Nutrition 2013; 30:410-7. [PMID: 24369912 DOI: 10.1016/j.nut.2013.09.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2013] [Revised: 09/02/2013] [Accepted: 09/03/2013] [Indexed: 12/17/2022]
Abstract
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.
Collapse
Affiliation(s)
- Angeliki Papadaki
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK; Department of Social Medicine, Preventive Medicine & Nutrition Clinic, University of Crete, Heraklion, Crete, Greece.
| | - Manolis Linardakis
- Department of Social Medicine, Preventive Medicine & Nutrition Clinic, University of Crete, Heraklion, Crete, Greece
| | - Maria Plada
- Department of Social Medicine, Preventive Medicine & Nutrition Clinic, University of Crete, Heraklion, Crete, Greece
| | - Thomas M Larsen
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Denmark
| | - Camilla T Damsgaard
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Denmark
| | - Marleen A van Baak
- Department of Human Biology, Nutrition and Toxicology Research Institute Maastricht, Maastricht University Medical Centre, The Netherlands
| | - Susan Jebb
- MRC Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge, UK
| | - Andreas F H Pfeiffer
- 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
| | - J Alfredo Martinez
- Department of Physiology and Nutrition, CIBERobn, University of Navarra, Pamplona, Spain
| | - Teodora Handjieva-Darlenska
- Department of Human Nutrition, Dietetics and Metabolic Diseases, National Multiprofile Transport Hospital, Sofia, Bulgaria
| | - Marie Kunešová
- Obesity Management Centre, Institute of Endocrinology, Prague, Czech Republic
| | - Claus Holst
- Institute of Preventive Medicine, Copenhagen University Hospitals, Copenhagen, Denmark
| | - Wim H M Saris
- Department of Human Biology, Nutrition and Toxicology Research Institute Maastricht, Maastricht University Medical Centre, The Netherlands
| | - Arne Astrup
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Denmark
| | - Anthony Kafatos
- Department of Social Medicine, Preventive Medicine & Nutrition Clinic, University of Crete, Heraklion, Crete, Greece
| |
Collapse
|