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Namkhah Z, Irankhah K, Sarviha S, Sobhani SR. Exploring metabolic syndrome and dietary quality in Iranian adults: a cross-sectional study. BMC Nutr 2024; 10:143. [PMID: 39443994 PMCID: PMC11500456 DOI: 10.1186/s40795-024-00948-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 10/10/2024] [Indexed: 10/25/2024] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) is a cluster of cardiovascular risk factors affecting a quarter of the global population, with diet playing a significant role in its progression. The aim of this study is to compare the effectiveness of the Dietary Diabetes Risk Reduction Score (DDRRS) and the Macronutrient Quality Index (MQI) scoring systems in assessing the diet-related risk of metabolic syndrome. METHODS In this cross-sectional study, data from 7431 individuals aged between 30 and 70 years, obtained from the Mashhad Cohort Study, were utilized to evaluate the risk factors of metabolic syndrome. A valid semi-quantitative food frequency questionnaire was used to assess participants' dietary intake. The MQI was calculated based on carbohydrate, fat, and healthy protein components, while the DDRRS was also computed. Anthropometric measurements and blood samples were taken to determine the presence of metabolic syndrome. Logistic regression analyses were conducted to assess the association between MQI and DDRRS with metabolic syndrome and its components. RESULTS According to the crude model, we observed lower odds of MetS in the highest quartile of DDRRS and MQI compared to the lowest quartile (P-trend < 0.001). This trend persisted in the fully adjusted models, revealing odds ratios of 0.399 (95% CI: 0.319-0.500) and 0.597 (95% CI: 0.476-0.749) for DDRRS and MQI, respectively. After controlling for all potential confounders, we observed lower odds of central obesity in the highest quartile of MQI (OR: 0.818, 95% CI: 0.676-0.989, P-trend = 0.027). Furthermore, we found that the odds of high triglyceride levels were lower in the highest quartile of DDRRS compared to the lowest quartile (OR: 0.633, 95% CI: 0.521, 0.770, P-trend < 0.001). CONCLUSION In conclusion, our study indicates that greater adherence to both DDRRS and MQI is linked to a decreased risk of metabolic syndrome and its components. These findings hold significant implications for public health and the development of personalized nutrition strategies.
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Affiliation(s)
- Zahra Namkhah
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Kiyavash Irankhah
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sina Sarviha
- Department of Food and Human Nutritional Sciences, Faculty of Agricultural and Food Sciences, University of Manitoba, Winnipeg, Canada
| | - Seyyed Reza Sobhani
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
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Lyu J, Lim JY, Han Y, Na K, Jung S, Park YJ. Protein source associated with risk of metabolic syndrome in adults with low and adequate protein intake: A prospective cohort study of middle-aged and older adults. J Nutr Health Aging 2024; 28:100393. [PMID: 39418750 DOI: 10.1016/j.jnha.2024.100393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2024] [Revised: 10/05/2024] [Accepted: 10/06/2024] [Indexed: 10/19/2024]
Abstract
OBJECTIVES Metabolic syndrome is associated with an increased risk of diabetes, cardiovascular disease, and all-cause mortality. Some evidence suggests that the cardiometabolic health benefits of protein intake may vary by the source (animal or plant); however, the evidence is inconsistent. This study aimed to assess the risk of developing metabolic syndrome according to the protein source. PARTICIPANTS Among a total of 3,310 participants aged 40 years or older in the Ansan and Ansung population based prospective cohort, 1,543 incident cases of metabolic syndrome were identified between 2007 and 2018. MEASUREMENTS Dietary intake was assessed using a validated food frequency questionnaire. Cox proportional hazards models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) by quintile (Q), adjusting for demographics and health-related lifestyle factors. RESULTS Higher intake of animal protein (HRquintile5 (Q5) vs quintile1 (Q1) [95% CIs]: 0.76 [0.59-0.96], P-trend ≤ 0.0307) and a higher relative intake of animal protein (HRQ5 vs.Q1: 0.78 [0.64-0.95], P-trend ≤ 0.0017) were associated with a significantly decreased risk of developing metabolic syndrome. In subgroup analyses, associations between the risk of metabolic syndrome and the relative intake of animal and plant protein differed according to whether the total protein intake was within the recommended nutrient intake (RNI). Specifically, significant associations were observed only among those with a total protein consumption below the RNI (HRQ5vs Q1 [95% CIs]: 0.72 [0.56-0.93] for the relative intake of animal protein), but not among those consuming above the RNI. This association was more significant in women than in men. CONCLUSION A higher absolute and relative intake of animal protein were associated with a significantly decreased risk of metabolic syndrome, particularly among those who consumed less than the RNI of protein.
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Affiliation(s)
- Jieun Lyu
- Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Chungcheongbuk-do 28159, Republic of Korea; Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Joong-Yeon Lim
- Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Chungcheongbuk-do 28159, Republic of Korea
| | - Yerim Han
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Republic of Korea; Graduate Program in System Health Science & Engineering, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Khuhee Na
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Republic of Korea; Graduate Program in System Health Science & Engineering, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Seungyoun Jung
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Republic of Korea; Graduate Program in System Health Science & Engineering, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Yoon Jung Park
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Republic of Korea; Graduate Program in System Health Science & Engineering, Ewha Womans University, Seoul 03760, Republic of Korea.
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Liu S, Deng Y, Liu H, Fu Z, Wang Y, Zhou M, Feng Z. Causal Relationship between Meat Intake and Biological Aging: Evidence from Mendelian Randomization Analysis. Nutrients 2024; 16:2433. [PMID: 39125314 PMCID: PMC11313912 DOI: 10.3390/nu16152433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Revised: 07/22/2024] [Accepted: 07/24/2024] [Indexed: 08/12/2024] Open
Abstract
Existing research indicates that different types of meat have varying effects on health and aging, but the specific causal relationships remain unclear. This study aimed to explore the causal relationship between different types of meat intake and aging-related phenotypes. This study employed Mendelian randomization (MR) to select genetic variants associated with meat intake from large genomic databases, ensuring the independence and pleiotropy-free nature of these instrumental variables (IVs), and calculated the F-statistic to evaluate the strength of the IVs. The validity of causal estimates was assessed through sensitivity analyses and various MR methods (MR-Egger, weighted median, inverse-variance weighted (IVW), simple mode, and weighted mode), with the MR-Egger regression intercept used to test for pleiotropy bias and Cochran's Q test employed to evaluate the heterogeneity of the results. The findings reveal a positive causal relationship between meat consumers and DNA methylation PhenoAge acceleration, suggesting that increased meat intake may accelerate the biological aging process. Specifically, lamb intake is found to have a positive causal effect on mitochondrial DNA copy number, while processed meat consumption shows a negative causal effect on telomere length. No significant causal relationships were observed for other types of meat intake. This study highlights the significant impact that processing and cooking methods have on meat's role in health and aging, enhancing our understanding of how specific types of meat and their preparation affect the aging process, providing a theoretical basis for dietary strategies aimed at delaying aging and enhancing quality of life.
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Affiliation(s)
| | | | | | | | | | - Meijuan Zhou
- Department of Radiation medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China; (S.L.); (Y.D.); (H.L.); (Z.F.); (Y.W.)
| | - Zhijun Feng
- Department of Radiation medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China; (S.L.); (Y.D.); (H.L.); (Z.F.); (Y.W.)
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Cifuentes M, Vahid F, Devaux Y, Bohn T. Biomarkers of food intake and their relevance to metabolic syndrome. Food Funct 2024; 15:7271-7304. [PMID: 38904169 DOI: 10.1039/d4fo00721b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
Metabolic syndrome (MetS) constitutes a prevalent risk factor associated with non communicable diseases such as cardiovascular disease and type 2 diabetes. A major factor impacting the etiology of MetS is diet. Dietary patterns and several individual food constituents have been related to the risk of developing MetS or have been proposed as adjuvant treatment. However, traditional methods of dietary assessment such as 24 h recalls rely greatly on intensive user-interaction and are subject to bias. Hence, more objective methods are required for unbiased dietary assessment and efficient prevention. While it is accepted that some dietary-derived constituents in blood plasma are indicators for certain dietary patterns, these may be too unstable (such as vitamin C as a marker for fruits/vegetables) or too broad (e.g. polyphenols for plant-based diets) or reflect too short-term intake only to allow for strong associations with prolonged intake of individual food groups. In the present manuscript, commonly employed biomarkers of intake including those related to specific food items (e.g. genistein for soybean or astaxanthin and EPA for fish intake) and novel emerging ones (e.g. stable isotopes for meat intake or microRNA for plant foods) are emphasized and their suitability as biomarker for food intake discussed. Promising alternatives to plasma measures (e.g. ethyl glucuronide in hair for ethanol intake) are also emphasized. As many biomarkers (i.e. secondary plant metabolites) are not limited to dietary assessment but are also capable of regulating e.g. anti-inflammatory and antioxidant pathways, special attention will be given to biomarkers presenting a double function to assess both dietary patterns and MetS risk.
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Affiliation(s)
- Miguel Cifuentes
- Luxembourg Institute of Health, Department of Precision Health, Strassen, Luxembourg.
- Doctoral School in Science and Engineering, University of Luxembourg, 2, Avenue de l'Université, 4365 Esch-sur-Alzette, Luxembourg
| | - Farhad Vahid
- Luxembourg Institute of Health, Department of Precision Health, Strassen, Luxembourg.
| | - Yvan Devaux
- Luxembourg Institute of Health, Department of Precision Health, Strassen, Luxembourg.
| | - Torsten Bohn
- Luxembourg Institute of Health, Department of Precision Health, Strassen, Luxembourg.
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Kheirandish M, Dastsouz F, Azarbad A, Mohsenpour MA, Javdan G, Razmpour F, Davoodi SH, Ramezani-Jolfaie N, Mohammadi M. The association between dietary patterns and metabolic syndrome among Iranian adults, a cross-sectional population-based study (findings from Bandare-Kong non-communicable disease cohort study). BMC Endocr Disord 2024; 24:57. [PMID: 38689305 PMCID: PMC11059651 DOI: 10.1186/s12902-024-01584-7] [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: 10/14/2023] [Accepted: 04/18/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Metabolic syndrome is a cluster of metabolic disorders increasing the risk of cardiovascular disease and diabetes. Dietary patterns are supposed to be important and controllable factors in developing metabolic syndrome. The purpose of this study was to investigate the association of dietary patterns with metabolic syndrome and its components. SUBJECTS/METHODS Cross-sectional data were extracted from the Bandare-Kong cohort study conducted on 4063 people aged 35 to 70. Dietary patterns were extracted using principal component analysis based on thirty-eight pre-defined food groups. Multivariable logistic regression was conducted to investigate the association between metabolic syndrome and its components with quintiles of dietary patterns in crude and adjusted models. RESULTS Three major dietary patterns were identified (healthy, western, and traditional) in the final analysis of 2823 eligible individuals. After adjusting for covariates, the odds of metabolic syndrome were significantly decreased by 46% in subjects with the highest adherence to the healthy dietary pattern compared to those with the lowest adherence quintile. Results from fully adjusted models on individual metabolic syndrome components showed an inverse association between higher adherence to the healthy dietary pattern and the odds of increased blood glucose, high waist circumference, and elevated blood pressure. However, in fully adjusted models, no significant association was observed between the western and traditional dietary patterns with odds of metabolic syndrome and its components. CONCLUSIONS Adherence to a healthy dietary pattern containing high amounts of fruits, vegetables, nuts, low-fat dairy products, and legumes, could be recommended to prevent and control metabolic syndrome.
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Affiliation(s)
- Masoumeh Kheirandish
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Farideh Dastsouz
- Food Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Abnoos Azarbad
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Mohammad Ali Mohsenpour
- Department of Clinical Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Gholamali Javdan
- Food Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
- Department of Community Medicine, School of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Bandar Abbas, Iran
| | - Farkhondeh Razmpour
- Food Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
- Department of Community Medicine, School of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Bandar Abbas, Iran
| | - Seyed Hossein Davoodi
- Department of Clinical Nutrition, School of Nutritional Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nahid Ramezani-Jolfaie
- Food Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
- Department of Community Medicine, School of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Bandar Abbas, Iran
| | - Mohammad Mohammadi
- Food Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
- Department of Community Medicine, School of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Bandar Abbas, Iran.
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Li Y, Liu Z, Liu T, Li J, Mei Z, Fan H, Cao C. Risk Prediction for Sudden Cardiac Death in the General Population: A Systematic Review and Meta-Analysis. Int J Public Health 2024; 69:1606913. [PMID: 38572495 PMCID: PMC10988292 DOI: 10.3389/ijph.2024.1606913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/01/2024] [Indexed: 04/05/2024] Open
Abstract
Objective: Identification of SCD risk is important in the general population from a public health perspective. The objective is to summarize and appraise the available prediction models for the risk of SCD among the general population. Methods: Data were obtained searching six electronic databases and reporting prediction models of SCD risk in the general population. Studies with duplicate cohorts and missing information were excluded from the meta-analysis. Results: Out of 8,407 studies identified, fifteen studies were included in the systematic review, while five studies were included in the meta-analysis. The Cox proportional hazards model was used in thirteen studies (96.67%). Study locations were limited to Europe and the United States. Our pooled meta-analyses included four predictors: diabetes mellitus (ES = 2.69, 95%CI: 1.93, 3.76), QRS duration (ES = 1.16, 95%CI: 1.06, 1.26), spatial QRS-T angle (ES = 1.46, 95%CI: 1.27, 1.69) and factional shortening (ES = 1.37, 95%CI: 1.15, 1.64). Conclusion: Risk prediction model may be useful as an adjunct for risk stratification strategies for SCD in the general population. Further studies among people except for white participants and more accessible factors are necessary to explore.
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Affiliation(s)
- Yue Li
- College of Management and Economics, Tianjin University, Tianjin, China
| | - Zhengkun Liu
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China
| | - Tao Liu
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China
| | - Ji Li
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China
| | - Zihan Mei
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China
| | - Haojun Fan
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China
| | - Chunxia Cao
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China
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Mahajan H, Mallinson PAC, Lieber J, Bhogadi S, Banjara SK, Reddy VS, Reddy GB, Kulkarni B, Kinra S. The Association of Total Meat Intake with Cardio-Metabolic Disease Risk Factors and Measures of Sub-Clinical Atherosclerosis in an Urbanising Community of Southern India: A Cross-Sectional Analysis for the APCAPS Cohort. Nutrients 2024; 16:746. [PMID: 38474874 PMCID: PMC10934090 DOI: 10.3390/nu16050746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 02/26/2024] [Accepted: 03/01/2024] [Indexed: 03/14/2024] Open
Abstract
AIM Meat is commonly consumed in India; however, in comparison to Western settings, it is eaten in relatively lower quantities and with minimal processing. The association between meat intake and cardio-metabolic diseases (CMDs) and their risk factors in India is currently uncertain. We examined whether meat intake is associated with risk factors for CMDs and the measures of subclinical atherosclerosis in urbanising villages in southern India. METHODS We conducted a cross-sectional analysis of 6012 adults (52.3% male) participating in the Andhra Pradesh Children and Parents' Study (APCAPS), which is a large prospective, intergenerational cohort study in Southern India that began with the long-term follow-up of the Hyderabad Nutrition Trial (1987-1990). We used cross-sectional data from the third wave of data collection conducted in 2010-2012, where total meat intake was assessed using 100-item, semi-quantitative validated food frequency questionnaires (FFQ). The FFQs were validated using multiple weighed 24 h dietary recalls. The main predictor, 'total meat intake', was calculated as the sum of chicken, red meat, and fish consumption. The risk factors for CMDs [systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), waist circumference (WC), fasting glucose, total cholesterol, homeostasis model assessment insulin resistance (HOMA-IR), total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, triglycerides, and C-reactive protein] and measures of subclinical atherosclerosis [Carotid Intima-Media Thickness, Pulse Wave Velocity, and Augmentation Index] were assessed using standardised clinical procedures. Stratified by gender, the association of meat intake with the risk factors of CMDs and measures of subclinical atherosclerosis was examined using linear multilevel models with random intercept at the household level. RESULTS The mean (SD) age of the male (n = 3128) and female participants (n = 2828) was 34.09 years (15.55) and 34.27 years (12.73), respectively. The median (IQR) intake of meat was 17.79 g/day (8.90, 30.26) in males and 8.90 g/day (4.15, 18.82) in females. In males, a 10 g increase in total meat intake/1000 Kcal/day was positively associated with DBP, BMI, WC, total cholesterol, LDL-C, and triglycerides, whereas in females, a 10 g increase in total meat intake/1000 Kcal/day was positively associated with SBP, DBP, fasting glucose, HOMA-IR, total cholesterol, LDL-C, and triglycerides. There was no relationship between meat consumption and measures of subclinical atherosclerosis. CONCLUSIONS Meat intake had a linear positive association with CMD risk factors among the relatively younger Indian population who were consuming meat at lower levels compared to their European counterparts.
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Affiliation(s)
- Hemant Mahajan
- Indian Council of Medical Research—National Institute of Nutrition, Hyderabad 500007, India; (S.B.); (S.K.B.); (V.S.R.); (G.B.R.)
| | - Poppy Alice Carson Mallinson
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK; (J.L.); (S.K.)
| | - Judith Lieber
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK; (J.L.); (S.K.)
| | - Santhi Bhogadi
- Indian Council of Medical Research—National Institute of Nutrition, Hyderabad 500007, India; (S.B.); (S.K.B.); (V.S.R.); (G.B.R.)
| | - Santosh Kumar Banjara
- Indian Council of Medical Research—National Institute of Nutrition, Hyderabad 500007, India; (S.B.); (S.K.B.); (V.S.R.); (G.B.R.)
| | - Vadde Sudhakar Reddy
- Indian Council of Medical Research—National Institute of Nutrition, Hyderabad 500007, India; (S.B.); (S.K.B.); (V.S.R.); (G.B.R.)
| | - Geereddy Bhanuprakash Reddy
- Indian Council of Medical Research—National Institute of Nutrition, Hyderabad 500007, India; (S.B.); (S.K.B.); (V.S.R.); (G.B.R.)
| | | | - Sanjay Kinra
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK; (J.L.); (S.K.)
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 182] [Impact Index Per Article: 182.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Deng YY, Ngai FW, Qin J, Yang L, Wong KP, Wang HH, Xie YJ. Combined Influence of Eight Lifestyle Factors on Metabolic Syndrome Incidence: A Prospective Cohort Study from the MECH-HK Study. Nutrients 2024; 16:547. [PMID: 38398871 PMCID: PMC10892175 DOI: 10.3390/nu16040547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 02/09/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
Although previous studies have shown significant associations between individual lifestyles and metabolic syndrome, limited studies have explored the combined effect of lifestyles. The purpose of this study was to investigate whether a combined lifestyle score was associated with metabolic syndrome incidence in Hong Kong Chinese women. This prospective cohort study included 1634 women (55.9 ± 8.6 years) without baseline metabolic syndrome, diabetes, myocardial infarction, or stroke. Eight lifestyle factors (smoking, physical activity, sedentary time, sleep, stress, fatigue, diet, and alcohol) were included by assigning 0 (unhealthy) or 1 point (healthy). The overall score was the sum of these points, ranging from 0 (the least healthy) to 8 points (the healthiest). Metabolic syndrome was diagnosed by the joint interim statement. During a 1.16-year follow-up, 179 (11.0%) new metabolic syndrome cases were identified. The incidences for the 0-3-point, 4-point, 5-point, and 6-8-point groups were 12.8% (79/618), 11.5% (42/366), 9.4% (29/309), and 8.5% (29/341), respectively. Compared to the lowest combined lifestyle score group, the highest group had a 47% reduced metabolic syndrome incidence, with an adjusted odds ratio and 95% confidence interval of 0.53 (0.33-0.86) (p = 0.010). These findings indicate that a higher combined lifestyle score was associated with a lower metabolic syndrome incidence in this population.
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Affiliation(s)
- Yun-Yang Deng
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China; (Y.-Y.D.); (F.-W.N.); (J.Q.); (L.Y.)
| | - Fei-Wan Ngai
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China; (Y.-Y.D.); (F.-W.N.); (J.Q.); (L.Y.)
| | - Jing Qin
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China; (Y.-Y.D.); (F.-W.N.); (J.Q.); (L.Y.)
| | - Lin Yang
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China; (Y.-Y.D.); (F.-W.N.); (J.Q.); (L.Y.)
| | - Ka-Po Wong
- Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China;
| | - Harry-Haoxiang Wang
- School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China;
- College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Yao-Jie Xie
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China; (Y.-Y.D.); (F.-W.N.); (J.Q.); (L.Y.)
- Research Centre for Chinese Medicine Innovation, The Hong Kong Polytechnic University, Hong Kong SAR, China
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Zandvakili A, Shiraseb F, Hosseininasab D, Aali Y, Santos RD, Mirzaei K. The association between consumption of red and processed meats with metabolic syndrome and its components in obese and overweight women: a cross-sectional study. BMC Womens Health 2024; 24:93. [PMID: 38321426 PMCID: PMC10845626 DOI: 10.1186/s12905-023-02862-7] [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: 05/23/2023] [Accepted: 12/22/2023] [Indexed: 02/08/2024] Open
Abstract
OBJECTIVES Previous studies have shown a relation between the consumption of different types of meats and chronic disorders. This study aims to investigate the association between red and processed meat intake with metabolic syndrome (MetS) and its components in healthy obese and overweight women. METHODS This cross-sectional study was conducted on Iranian women. The dietary assessment and body composition were measured by a validated food frequency questionnaire (FFQ) and bioelectrical impedance analysis, respectively. Blood samples were collected by standard protocols. RESULTS A total of 231 women (mean age 36.47 ± 8.44 years) were included in the current study. After controlling for potential confounders, there was a marginally significant associations between higher intake of processed meat with the MetS (OR:1.01, 95% CI: 0.94,2.94, P:0.06) and high serum triglycerides (TG) (OR:1.27, 95% CI: 0.94,2.98, P:0.07). There was a significant associations between high intake of red meats with lower odds of higher waist circumference (WC) (OR:0.31, 95% CI: 0.10,0.97, P:0.04). Also, there was a significant associations were found between high intake of processed meats with greater odds of having lower high-density lipoprotein cholesterol (HDL-c) (OR:0.64, 95% CI: 0.30,0.95, P:0.03). CONCLUSIONS The current study suggests that higher intakes of processed meat may be associated with the MetS in Iranian women with excess body weight, while this was not the case for red meat. More studies however are necessary in different communities to draw definitive conclusions.
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Affiliation(s)
- Atousa Zandvakili
- Department of Nutrition, School of Health and nutrition, Yasuj University of Medical Sciences, Yasuj, Iran
| | - Farideh Shiraseb
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Dorsa Hosseininasab
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Yasaman Aali
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Raul D Santos
- Heart Institute (InCor) University of Sao Paulo, Medical School Hospital, Sao Paulo, Brazil
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
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11
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Hojati A, Farhangi MA. The Association Between Food Quality Score (FQS) and Metabolic Syndrome Risk Factors in Overweight and Obese Individuals: A Cross-Sectional Study. Clin Nutr Res 2024; 13:51-60. [PMID: 38362134 PMCID: PMC10866677 DOI: 10.7762/cnr.2024.13.1.51] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 01/25/2024] [Accepted: 01/27/2024] [Indexed: 02/17/2024] Open
Abstract
Obesity and overweight pose a significant public health problem, as they are associated with an elevated risk of metabolic syndrome (MetS). Several studies have shown that diet quality is associated with the development of MetS risk factors. Analyzing dietary patterns may be more helpful in determining the relationship between eating habits and chronic diseases compared to focusing on single foods or nutrients. In this study, our objective was to evaluate the association of food quality score (FQS) with risk factors for MetS in individuals with obesity and overweight. The participants in this cross-sectional study were 340 adults with overweight and obesity. Participants' food intake was measured using a Food Frequency Questionnaire, then the FQS was calculated. A fasting blood sample assessed serum glucose, triglycerides, total cholesterol (TC), high-density lipoprotein cholesterol, and serum insulin levels. Fat-free mass, height, basal metabolic rate, socio-economic score, and waist-to-hip ratio significantly differed among FQS tertiles. TC, systolic and diastolic blood pressure, and fasting blood glucose were significantly lower in the highest tertile of FQS. After multivariable adjustment, our results showed that individuals in the third tertile of FQS had reduced risk of higher levels of TC (odds ratio [OR], 0.982; 95% confidence interval [CI], 0.970-0.984) and higher levels of low-density lipoprotein cholesterol (OR, 0.974; 95% CI, 0.974-0.999). Our findings demonstrate an inverse relationship between diet quality, as measured by FQS, and MetS risk factors. However, further experimental and longitudinal investigations are warranted to elucidate the causal nature of this association.
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Affiliation(s)
- Ali Hojati
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz 51666-14711, Iran
| | - Mahdieh Abbasalizad Farhangi
- Tabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz 51666-14711, Iran
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12
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Eldakhakhny B, Enani S, Jambi H, Ajabnoor G, Al-Ahmadi J, Al-Raddadi R, Alsheikh L, Abdulaal WH, Gad H, Borai A, Bahijri S, Tuomilehto J. Prevalence and Factors Associated with Metabolic Syndrome among Non-Diabetic Saudi Adults: A Cross-Sectional Study. Biomedicines 2023; 11:3242. [PMID: 38137464 PMCID: PMC10740949 DOI: 10.3390/biomedicines11123242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/27/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023] Open
Abstract
(1) Introduction: given the high prevalence of metabolic syndrome (MetS) in Saudi Arabia, especially in Jeddah, this study aims to understand the dietary and lifestyle-related risk factors among Jeddah's non-diabetic adults. (2) Material and Methods: Employing a cross-sectional design, non-diabetic adults were sourced from public healthcare centers. Demographics, lifestyle, and dietary habits were surveyed. Blood pressure, anthropometrics, and fasting blood samples measuring plasma glucose, serum triglycerides, and HDL cholesterol were collected. The age cut-off for MetS was ascertained using the receiver operating characteristic curve. Variables influencing MetS were evaluated using univariate logistic regression, and consequential factors underwent multivariate analysis, adjusted for age and sex. (3) Results: Among 1339 participants, 16% had MetS, with age being the strongest predictor (p < 0.001). The optimal age cut-off was 32 years. For those <32, elevated BP in men and waist circumference (WC) in women were most prevalent. For those >32, elevated WC was dominant in both sexes. Univariate logistic regression revealed that higher income and education correlated with lower MetS prevalence, while marriage and smoking were risk factors. Adjusting for age and sex, only very high income had a significant low-risk association (p = 0.034). (4) Conclusion: MetS is notable in the studied group, with age as the pivotal predictor. High income reduces MetS risk, while marital status and smoking could increase it. Since this was a cross-sectional study, cohort studies are needed to validate our findings.
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Affiliation(s)
- Basmah Eldakhakhny
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (G.A.); (H.G.); (S.B.)
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Sumia Enani
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Hanan Jambi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Ghada Ajabnoor
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (G.A.); (H.G.); (S.B.)
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Jawaher Al-Ahmadi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Family Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Rajaa Al-Raddadi
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Department of Community Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Lubna Alsheikh
- Department of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia; (L.A.); (W.H.A.)
| | - Wesam H. Abdulaal
- Department of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia; (L.A.); (W.H.A.)
| | - Hoda Gad
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (G.A.); (H.G.); (S.B.)
- Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Alexandria University, Alexandria 21561, Egypt
| | - Anwar Borai
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Jeddah 22384, Saudi Arabia
| | - Suhad Bahijri
- Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (G.A.); (H.G.); (S.B.)
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Food, Nutrition, and Lifestyle Research Unit, King Fahd for Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Jaakko Tuomilehto
- Saudi Diabetes Research Group, King Fahd Medical Research Center, King Abdulaziz University, Jeddah 22252, Saudi Arabia; (S.E.); (H.J.); (J.A.-A.); (R.A.-R.); (A.B.); (J.T.)
- Department of Public Health, University of Helsinki, FI-00014 Helsinki, Finland
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, FI-00271 Helsinki, Finland
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13
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Connolly G, Campbell WW. Poultry Consumption and Human Cardiometabolic Health-Related Outcomes: A Narrative Review. Nutrients 2023; 15:3550. [PMID: 37630747 PMCID: PMC10459134 DOI: 10.3390/nu15163550] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/08/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
Poultry meats, in particular chicken, have high rates of consumption globally. Poultry is the most consumed type of meat in the United States (US), with chicken being the most common type of poultry consumed. The amounts of chicken and total poultry consumed in the US have more than tripled over the last six decades. This narrative review describes nutritional profiles of commonly consumed chicken/poultry products, consumption trends, and dietary recommendations in the US. Overviews of the scientific literature pertaining to associations between, and effects of consuming chicken/poultry on, body weight and body composition, cardiovascular disease (CVD), and type II diabetes mellitus (T2DM) are provided. Limited evidence from randomized controlled trials indicates the consumption of lean unprocessed chicken as a primary dietary protein source has either beneficial or neutral effects on body weight and body composition and risk factors for CVD and T2DM. Apparently, zero randomized controlled feeding trials have specifically assessed the effects of consuming processed chicken/poultry on these health outcomes. Evidence from observational studies is less consistent, likely due to confounding factors such as a lack of a description of and distinctions among types of chicken/poultry products, amounts consumed, and cooking and preservation methods. New experimental and observational research on the impacts of consuming chicken/poultry, especially processed versions, on cardiometabolic health is sorely needed.
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Affiliation(s)
| | - Wayne W. Campbell
- Department of Nutrition Science, Purdue University, West Lafayette, IN 47907, USA;
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14
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Das D, Shruthi NR, Banerjee A, Jothimani G, Duttaroy AK, Pathak S. Endothelial dysfunction, platelet hyperactivity, hypertension, and the metabolic syndrome: molecular insights and combating strategies. Front Nutr 2023; 10:1221438. [PMID: 37614749 PMCID: PMC10442661 DOI: 10.3389/fnut.2023.1221438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 07/25/2023] [Indexed: 08/25/2023] Open
Abstract
Metabolic syndrome (MetS) is a multifaceted condition that increases the possibility of developing atherosclerotic cardiovascular disease. MetS includes obesity, hypertension, dyslipidemia, hyperglycemia, endothelial dysfunction, and platelet hyperactivity. There is a concerning rise in the occurrence and frequency of MetS globally. The rising incidence and severity of MetS need a proactive, multipronged strategy for identifying and treating those affected. For many MetS patients, achieving recommended goals for healthy fat intake, blood pressure control, and blood glucose management may require a combination of medicine therapy, lifestyles, nutraceuticals, and others. However, it is essential to note that lifestyle modification should be the first-line therapy for MetS. In addition, MetS requires pharmacological, nutraceutical, or other interventions. This review aimed to bring together the etiology, molecular mechanisms, and dietary strategies to combat hypertension, endothelial dysfunction, and platelet dysfunction in individuals with MetS.
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Affiliation(s)
- Diptimayee Das
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India
| | - Nagainallur Ravichandran Shruthi
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India
| | - Antara Banerjee
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India
| | - Ganesan Jothimani
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India
| | - Asim K. Duttaroy
- Faculty of Medicine, Department of Nutrition, Institute of Medical Sciences, University of Oslo, Oslo, Norway
| | - Surajit Pathak
- Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India
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15
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Jahromi MK, Farhadnejad H, Teymoori F, Asghari G, Kalantari M, Mirmiran P, Azizi F. Adherence to diet with higher dietary diabetes risk reduction score is associated with reduced risk of type 2 diabetes incident in Iranian adults. BMC Public Health 2023; 23:1144. [PMID: 37316867 DOI: 10.1186/s12889-023-16024-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 05/31/2023] [Indexed: 06/16/2023] Open
Abstract
BACKGROUND The Dietary diabetes risk reduction score (DDRRS) has recently been considered by researchers as a diet quality index to predict the risk of chronic diseases, such as type 2 diabetes (T2D). In this study, we aimed to assess the association of DDRRS with T2D risk in Iranian adults. METHODS Subjects aged ≥ 40 years without T2D (n = 2081) were selected for the current study from participants of the Tehran Lipid and Glucose Study (2009-2011) and followed for a mean of 6.01 years. We used the food frequency questionnaire to determine the DDRRS that is characterized by eight components, including higher consumption of nuts, cereal fiber, coffee, and polyunsaturated to saturated fat ratio and lower consumption of red or processed meats, trans fats, sugar-sweetened beverages, and high glycemic index foods. The multivariable logistic regression analysis was used to determine the odds ratio (ORs) and 95% confidence interval (CI) of T2D across the DDRRS tertiles. RESULTS The mean ± SD age of individuals was 50.4 ± 8.2 years at baseline. The Median (25-75 interquartile range) DDRRS of the study population was 24(22-27). During the study follow-up, 233(11.2%) new cases of T2D were ascertained. In the age and sex-adjusted model, the odds of T2D were decreased across tertiles of DDRRS (OR = 0.68; 95%CI: 0.48-0.97, P for trend = 0.037). Based on the multivariable-adjusted model, after controlling all potential confounders, the risk of T2D is reduced across tertiles of DDRRS (OR = 0.66; 95%CI: 0.44-0.98, P for trend = 0.047). Also, higher scores (lower consumption) of red and processed meat (OR = 0.59; 95%CI: 0.39-0.88, P = 0.012) and sugar-sweetened beverages (OR = 0.49; 95%CI: 0.32-0.76, P = 0.002) as DDRRS components were associated with decreased T2D incident. CONCLUSIONS Our findings suggested that a diet with a higher score of DDRRS may be related to reducing the risk of T2D in Iranian adults.
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Affiliation(s)
- Mitra Kazemi Jahromi
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hossein Farhadnejad
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farshad Teymoori
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Golaleh Asghari
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Mahsa Kalantari
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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16
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Shu L, Zhang X, Zhou J, Zhu Q, Si C. Ultra-processed food consumption and increased risk of metabolic syndrome: a systematic review and meta-analysis of observational studies. Front Nutr 2023; 10:1211797. [PMID: 37360294 PMCID: PMC10288143 DOI: 10.3389/fnut.2023.1211797] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 05/24/2023] [Indexed: 06/28/2023] Open
Abstract
Background Although higher consumption of ultra-processed food (UPF) has been linked to a higher risk of metabolic syndrome (MetS), the results remain controversial. Herein, we performed a systematic review and meta-analysis of observational studies to clarify the relationship between UPF consumption defined by the NOVA framework and risk of MetS. Methods An extensive literature search on PubMed, ISI Web of Science, EBSCO and China National Knowledge Infrastructure (CNKI) databases was conducted to search for the relevant articles published priori to January 2023, and newly published articles between January 2023 and March 2023 were re-searched. Random-effects or fixed-effects models were adopted to calculate the pooled relative risks (RRs) and 95% confidence intervals (CIs). The between-study heterogeneity was explored using the Cochran's Q test and I-square (I2). Publication bias was investigated using the visual inspection of asymmetry in funnel plots and Begg's and Egger's tests. Results Nine studies (six cross-sectional and three prospective cohort studies) totaling 23,500 participants with 6,192 MetS cases were included in the final analysis. The pooled effect size for the highest vs. lowest categories of UPF consumption indicated a positive association with the risk of MetS (RR: 1.25, 95%CI: 1.09-1.42, P < 0.0001). Subgroup analyses revealed a positive association between consumption of UPF and MetS risk in cross-sectional studies (RR: 1.47, 95%CI: 1.16-1.87, P = 0.002), and no significant association in cohort studies (RR: 1.10, 95%CI: 0.96-1.27, P = 0.104), respectively. In addition, a more significant association between UPF consumption and increased risk of MetS was found in the subgroups of study quality <7 (RR: 2.22; 95%CI: 1.28-3.84, P = 0.004) than study quality ≥7 (RR: 1.20; 95%CI: 1.06-1.36, P = 0.005). Similarly, when we performed analyses separately by sample size, there was a significant association between UPF consumption and MetS risk in sample size ≥5,000 (RR: 1.19; 95%CI: 1.11-1.27, P < 0.0001), and in sample size <5,000 (RR: 1.43; 95%CI: 1.08-1.90, P = 0.013), respectively. Conclusions Our findings suggest that higher consumption of UPF is significantly associated with an increased risk of MetS. Further longitudinal studies are needed to confirm the effect of UPF consumption on MetS.
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Affiliation(s)
- Long Shu
- Department of Nutrition, Zhejiang Hospital, Xihu District, Hangzhou, Zhejiang, China
| | - Xiaoyan Zhang
- Department of Nutrition, Zhejiang Hospital, Xihu District, Hangzhou, Zhejiang, China
| | - Jianying Zhou
- Department of Digestion, Zhejiang Hospital, Xihu District, Hangzhou, Zhejiang, China
| | - Qin Zhu
- Department of Nutrition, Zhejiang Hospital, Xihu District, Hangzhou, Zhejiang, China
- Department of Digestion, Zhejiang Hospital, Xihu District, Hangzhou, Zhejiang, China
| | - Caijuan Si
- Department of Nutrition, Zhejiang Hospital, Xihu District, Hangzhou, Zhejiang, China
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17
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Wang H, Wang Y, Shi Z, Zhao L, Jian W, Li K, Xu R, Wu Y, Xu F, Wang Y, Peng W. Association between Dietary Patterns and Metabolic Syndrome and Modification Effect of Altitude: A Cohort Study of Tibetan Adults in China. Nutrients 2023; 15:2226. [PMID: 37432367 DOI: 10.3390/nu15092226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/01/2023] [Accepted: 05/05/2023] [Indexed: 07/12/2023] Open
Abstract
Little is known about the longitudinal association between dietary patterns (DPs) and metabolic disorders in people living at high altitude areas, such as Tibetans. We constructed the first open cohort, with 1832 Tibetans, and collected data in 2018 and in 2022. The metabolic syndrome (MetS) prevalence was 30.1% (32.3% in men and 28.3% in women). Three different DPs were identified: modern DP (pulses, poultry, offal, and processed meat), urban DP (vegetables, refined grain, beef/mutton, and eggs), and pastoral DP (Tibetan cheese, tsamba, butter/milk tea, and desserts). Participants within the third tertile of the urban DP had a 3.42-fold (95% CI 1.65-7.10) higher risk of MetS than those with the first tertile. Modern DP was positively associated with elevated blood pressure (BP) and elevated triglycerides (TAG), while it was inversely associated with low HDL-C. The urban DP was associated with a higher risk of low HDL-C, but a lower risk of impaired fasting blood glucose (FBG). The pastoral DP was a risk factor for impaired FBG, but protective for central obesity and elevated BP. Associations of modern DP with elevated BP, and pastoral DP with low HDL-C, were modified by altitude. In conclusion, among Tibetan adults, DPs were associated with MetS and its components, and the associations were modified by altitude among Tibetans.
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Affiliation(s)
- Haijing Wang
- Nutrition and Health Promotion Center, Department of Public Health, Medical College, Qinghai University, Xining 810008, China
| | - Yanxiang Wang
- Nutrition and Health Promotion Center, Department of Public Health, Medical College, Qinghai University, Xining 810008, China
| | - Zumin Shi
- Human Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha 2713, Qatar
| | - Lei Zhao
- Nutrition and Health Promotion Center, Department of Public Health, Medical College, Qinghai University, Xining 810008, China
| | - Wenxiu Jian
- Nutrition and Health Promotion Center, Department of Public Health, Medical College, Qinghai University, Xining 810008, China
| | - Ke Li
- Global Health Institute, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China
| | - Ruihua Xu
- Nutrition and Health Promotion Center, Department of Public Health, Medical College, Qinghai University, Xining 810008, China
| | - Yan Wu
- Global Health Institute, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China
| | - Fei Xu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Non-Communicable Disease Prevention and Control, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 211166, China
| | - Youfa Wang
- Global Health Institute, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China
| | - Wen Peng
- Nutrition and Health Promotion Center, Department of Public Health, Medical College, Qinghai University, Xining 810008, China
- Qinghai Provincial Key Laboratory of Prevention and Control of Glucolipid Metabolic Diseases with Traditional Chinese Medicine, Xining 810008, China
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18
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Shojaei-Zarghani S, Safarpour AR, Askari H, Jahromi HK, Abbasi E, Fattahi MR. Metabolic Syndrome and Nephrolithiasis; A Cross Sectional Population-based Study on the Baseline Data of the PERSIAN Kavar Cohort Study. Urology 2023; 173:61-67. [PMID: 36435345 DOI: 10.1016/j.urology.2022.11.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/19/2022] [Accepted: 11/06/2022] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To explore the relationship between metabolic syndrome and its components with nephrolithiasis. METHODS In current study, 4,901 individuals from the PERSIAN (Prospective Epidemiological Research Studies in IrAN) Kavar cohort study were included. Metabolic syndrome was defined according to the ATP III criteria (2005 revision). The nephrolithiasis was assessed using a structured questionnaire, and ultrasound findings were reviewed in subjects who reported positive history of nephrolithiasis. We applied logistic regression to estimate the odds ratio (OR) and 95% confidence interval (CI). RESULTS The prevalence of nephrolithiasis and metabolic syndrome was 28.5% and 40.91%, respectively. Almost 31% of the patients with metabolic syndrome had a history of nephrolithiasis. Multivariable logistic regression analysis revealed a positive association between metabolic syndrome and nephrolithiasis (OR= 1.30, 95% CI: 1.14-1.49, P<.001) after adjustment age, sex, ethnicity, physical activity, smoking status, and alcohol intake. Furthermore, the relation was higher for elders aged 50 years or more (P for interaction= .016) and Turk Nomad participants (P for interaction= 0.044) than the others. There was also a positive independent association between hypertension (OR=1.29, 95% CI: 1.12-1.48, P<.001) and hypertriglyceridemia (OR= 1.15, 95% CI: 1.01-1.31, P=.033) with nephrolithiasis. CONCLUSION In this large sample study, we demonstrate a weak positive association between metabolic syndrome, hypertension, and hypertriglyceridemia with nephrolithiasis.
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Affiliation(s)
- Sara Shojaei-Zarghani
- Gastroenterohepatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ali Reza Safarpour
- Gastroenterohepatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
| | - Hassan Askari
- Gastroenterohepatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hossein Kargar Jahromi
- Research center for non-Communicable Disease, Jahrom University of Medical Sciences, Jahrom, Iran; Zoonoses research center, Jahrom University of Medical Sciences, Jahrom, Iran
| | - Elham Abbasi
- Gastroenterohepatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Reza Fattahi
- Gastroenterohepatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
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Sekgala MD, Opperman M, Mpahleni B, Mchiza ZJR. Sociodemographic and lifestyle factors and the risk of metabolic syndrome in taxi drivers: A focus on street food. Front Nutr 2023; 10:1112975. [PMID: 36908907 PMCID: PMC9996058 DOI: 10.3389/fnut.2023.1112975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 01/27/2023] [Indexed: 02/25/2023] Open
Abstract
Background In South Africa, similar to other populous countries, the taxi industry is an important form of transportation that contributes to the country's development. As a result, minibus taxi driving is an occupation characterized by strenuous activities such as long hours of driving, limited rest, and challenges related to securing passengers, among several others. Consequently, to combat stress, some commercial drivers resort to smoking, overeating unhealthy food sold at transportation interchange areas (i.e., taxi ranks), and participating in sedentary behaviors. Most of these activities are risk factors for metabolic syndrome (MetS). Aim Therefore, this study aimed to investigate the sociodemographic and lifestyle factors that predispose South African taxi drivers who work in the Cape Town Metropole area to the risk of developing MetS. Methods This cross-sectional study used a convenient sampling method that included 185 male minibus taxi drivers aged 20 years or above. The participants were interviewed using a validated questionnaire to gather information regarding their sociodemographic characteristics and lifestyle practices. They also underwent physical and metabolic assessments, and the International Diabetes Federation (IDF) criteria were used to diagnose people with MetS. Results Overall, the mean age and driving experience of the taxi drivers were 40.0 years (SD: 10.7) and 9.1 years (SD: 7.4), respectively, with those with MetS being significantly older and having more driving experience than those without. Older participants were 3 and 2.9 times more likely to be diagnosed with MetS than the younger participants. Most taxi drivers (70%) met the IDF diagnostic criteria for MetS. Smokers, those who spent more than 100 ZAR (USD 5.9) and those who spent less than 1.4 MET-minutes per week on physical activity were 1.96, 2.0, and 13.6 times more likely to suffer from MetS that those who were nonsmokers, those who spent less than 100 ZAR and those who spent <1.4 MET-minutes per week on physical activity. Consumption of alcohol and sugar-sweetened beverages (SSBs), as well as takeaway and fried foods, snacks, and sold by the SF vendors, increased the likelihood of developing MetS, abnormal HDL-C, TG, and hypertension, while avoiding takeaway and fried foods decreased this likelihood. Taxi drivers who also avoided consuming fresh fruits had abnormal HDL-C. Conclusion These findings have significant public health implications, highlighting the need for South African policymakers to adopt a system-level approach to promote lifestyle changes among taxi drivers within the taxi industry. This can help reduce the health risks faced by these drivers and improve their overall health profile.
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Affiliation(s)
- Machoene Derrick Sekgala
- School of Public Health, University of the Western Cape, Bellville, South Africa
- Human and Social Capabilities, Human Sciences Research Council, Cape Town, South Africa
| | - Maretha Opperman
- Functional Food Research Unit, Department of Biotechnology and Consumer Science, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Buhle Mpahleni
- Functional Food Research Unit, Department of Biotechnology and Consumer Science, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Zandile June-Rose Mchiza
- School of Public Health, University of the Western Cape, Bellville, South Africa
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
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20
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1550] [Impact Index Per Article: 1550.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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21
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Connolly G, Clark CM, Campbell RE, Byers AW, Reed JB, Campbell WW. Poultry Consumption and Human Health: How Much Is Really Known? A Systematically Searched Scoping Review and Research Perspective. Adv Nutr 2022; 13:2115-2124. [PMID: 36351778 PMCID: PMC9776623 DOI: 10.1093/advances/nmac074] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 05/22/2022] [Accepted: 06/27/2022] [Indexed: 11/11/2022] Open
Abstract
This scoping review was conducted to systematically search and chronicle scientific literature pertinent to poultry intake and human health. The protocol (uploaded to Open Science Framework, https://osf.io/2k7bj/) was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews guidelines. Articles with observational and experimental research, narrative and systematic reviews, and meta-analyses were included. Among 13,141 articles identified, 525 met inclusion criteria. Among these 525 articles, 212 focused on cancer morbidity and mortality; 41 on cardiovascular disease (CVD) morbidity and mortality; 52 on CVD risk factors; 32 on type 2 diabetes mellitus (T2DM) morbidity and mortality; 33 on T2DM risk factors; and 42 on body weight and body composition. An "Other" category (181 articles) included nutrient status, psychological well-being/mental health, cognition, microbiome, chronic kidney disease, nonalcoholic fatty liver disease, skin disorders, and fertility, among others. Among the 525 included articles, 366 were observational, 64 were experimental, and 76 were reviews and meta-analyses. Eighty-three percent of articles focused on adults or older adults. A paucity of research exists to support poultry as health-promoting foods, with most research only indirectly assessing poultry intake compared with other foods of interest (e.g., red meats or plant-based protein foods). No randomized controlled trials and only 1% of OBS assessed the influence of processed poultry intake on human health. In the future, the relative health effects of consuming poultry will be compared with a widening array of traditional and new protein-rich food products, necessitating the need for research to assess poultry as foods of choice. Science and health professionals, the poultry industry, and the public will benefit from new observational and experimental research to address cutting-edge scientific, public policy, and consumer topics pertinent to poultry intake and human health.
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Affiliation(s)
- Gavin Connolly
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA
| | - Caroline M Clark
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA
| | | | - Adam W Byers
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA
| | - Jason B Reed
- Libraries and School of Information Studies, Purdue University, West Lafayette, IN, USA
| | - Wayne W Campbell
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA
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22
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Cubas-Basterrechea G, Elío I, Alonso G, Otero L, Gutiérrez-Bardeci L, Puente J, Muñoz-Cacho P. Adherence to the Mediterranean Diet Is Inversely Associated with the Prevalence of Metabolic Syndrome in Older People from the North of Spain. Nutrients 2022; 14:4536. [PMID: 36364798 PMCID: PMC9657522 DOI: 10.3390/nu14214536] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/17/2022] [Accepted: 10/25/2022] [Indexed: 11/16/2022] Open
Abstract
Background: The aim of this study was to relate adherence to the Mediterranean diet (MedDiet) to the prevalence of metabolic syndrome (MetS) in an elderly population from the north of Spain. Methods: We carried out an observational, descriptive, cross-sectional, and correlational study involving 556 non-institutionalised individuals aged 65 to 79 years. The MEDAS-14 questionnaire score was used to define the degree of adherence to the Mediterranean diet. The diagnosis of MetS was conducted using the International Diabetes Federation (IDF) criteria. Results: In 264 subjects with an average age of 71.9 (SD: ±4.2), 39% of whom were men, 36.4% had good adherence (score ≥ 9 in MEDAS-14), with no differences by gender or age. The prevalence of MetS was 40.2%, with 47.6% in men and 35.4% in women (p < 0.05). The prevalence of MetS was 2.4 times more frequent among individuals who consumed less than two servings (200 g) of vegetables daily compared with those who consumed two or more servings of vegetables daily (OR: 2.368, 95%CI: 1.141−4.916, p = 0.021). Low adherence to the MedDiet (MEDAS-14 score ≤ 8) was associated with an 82% higher prevalence of MetS (OR: 1.817, 95%CI: 1.072−3.081, p = 0.027). Conclusion: An inverse relationship was established between adherence to the MedDiet and the prevalence of MetS.
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Affiliation(s)
| | - Iñaki Elío
- Research Group on Foods, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, 39011 Santander, Spain
- Department of Health, Nutrition and Sport, Iberoamerican International University, Campeche 24560, Mexico
| | | | - Luis Otero
- Primary Care Center Puertochico, 39004 Santander, Spain
| | | | - Jesús Puente
- Compass Group, Department VITArest, 28054 Madrid, Spain
| | - Pedro Muñoz-Cacho
- Teaching Department of Primary Care Management, Cantabrian Health Service, IDIVAL, 39011 Santander, Spain
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23
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Hill ER, O'Connor LE, Wang Y, Clark CM, McGowan BS, Forman MR, Campbell WW. Red and processed meat intakes and cardiovascular disease and type 2 diabetes mellitus: An umbrella systematic review and assessment of causal relations using Bradford Hill's criteria. Crit Rev Food Sci Nutr 2022; 64:2423-2440. [PMID: 36154543 DOI: 10.1080/10408398.2022.2123778] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Observational research suggests higher red and processed meat intakes predict greater risks of developing or dying from cardiovascular diseases (CVD) and type 2 diabetes mellitus (T2DM), but this research limits causal inference. This systematic review of reviews utilizes both observational and experimental research findings to infer causality of these relations. Reviews from four databases were screened by two researchers. Reviews included unprocessed red meat (URM), processed meat (PM), or mixed URM + PM intake, and reported CVD or T2DM outcomes. Twenty-nine reviews were included, and causality was inferred using Bradford Hill's Criteria. Observational assessments of CVD outcomes and all meat types consistently reported weak associations while, T2DM outcomes and PM and Mixed URM + PM assessments consistently reported strong associations. Experimental assessments of Mixed URM + PM on CVD and T2DM risk factors were predominately not significant which lacked coherence with observational findings. For all meat types and outcomes, temporality and plausible mechanisms were established, but specificity and analogous relationships do not support causality. Evidence was insufficient for URM and T2DM. More experimental research is needed to strengthen these inferences. These results suggest that red and processed meat intakes are not likely causally related to CVD but there is potential for a causal relationship with T2DM.
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Affiliation(s)
- Erica R Hill
- Department of Nutrition Science, Purdue University, West Lafayette, Indiana, USA
| | - Lauren E O'Connor
- Department of Nutrition Science, Purdue University, West Lafayette, Indiana, USA
- Agricultural Research Service, United States Department of Agriculture, Beltsville, Maryland, USA
| | - Yu Wang
- Department of Nutrition Science, Purdue University, West Lafayette, Indiana, USA
| | - Caroline M Clark
- Department of Nutrition Science, Purdue University, West Lafayette, Indiana, USA
| | - Bethany S McGowan
- Purdue University Libraries and School of Information Studies, Purdue University, West Lafayette, Indiana, USA
| | - Michele R Forman
- Department of Nutrition Science, Purdue University, West Lafayette, Indiana, USA
| | - Wayne W Campbell
- Department of Nutrition Science, Purdue University, West Lafayette, Indiana, USA
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24
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High Meat Consumption Is Prospectively Associated with the Risk of Non-Alcoholic Fatty Liver Disease and Presumed Significant Fibrosis. Nutrients 2022; 14:nu14173533. [PMID: 36079791 PMCID: PMC9459934 DOI: 10.3390/nu14173533] [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: 08/03/2022] [Revised: 08/22/2022] [Accepted: 08/23/2022] [Indexed: 11/17/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) has been associated with meat consumption in cross-sectional studies. However, only a few prospective studies have been conducted, and they did not test for liver fibrosis. We aimed to assess the association between meat consumption changes and the incidence and remission of NAFLD and significant liver fibrosis. We used a prospective cohort study design, including 316 subjects aged 40–70 years, participating in baseline and follow-up evaluations at Tel-Aviv Medical Center. NAFLD was determined by liver ultrasound or controlled attenuation parameter (CAP), and liver fibrosis was determined by FibroScan. Meat consumption (g/day) was assessed by a food frequency questionnaire (FFQ). In multivariable-adjusted analyses, high consumption of red and/or processed meat (≥gender-specific median) was associated with a higher risk of NAFLD with elevated alanine aminotransferase (ALT) (OR = 3.75, 1.21–11.62, p = 0.022). Consistently high (in both baseline and follow-up evaluations) total meat consumption was associated with 2.55-fold (95% CI 1.27–5.12, p = 0.009) greater odds for new onset and/or persistence of NAFLD compared to consistently low meat consumption. A similar association was shown for consistently high consumption of red and/or processed meat (OR = 2.12, 95% CI 1.11–4.05, p = 0.022). Consistently high red and/or processed meat consumption was associated with 4.77-fold (95% CI 1.36–16.69, p = 0.014) greater odds for significant fibrosis compared to consistently low consumption. Minimizing the consumption of red and/or processed meat may help prevent NAFLD and significant fibrosis.
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25
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Ruedlinger J, Cid-Ossandón V, Huidobro A, Van De Wyngard V, Vargas C, Ferreccio C. Processed meat consumption and associated factors in Chile: A cross-sectional study nested in the MAUCO cohort. Front Public Health 2022; 10:960997. [PMID: 36062116 PMCID: PMC9436317 DOI: 10.3389/fpubh.2022.960997] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/01/2022] [Indexed: 01/24/2023] Open
Abstract
Processed meat consumption is increasing in Latin America. While in developed countries processed meat consumption has been associated with cardiovascular diseases and cancer, our region lacks data associated to its consumption and health impact. We characterized processed meat intake and associated factors in a population-based cohort of a Chilean agricultural county, MAUCO. We analyzed baseline dietary data of 7,841 participants, 4,358 women and 3,483 men (38-77 years), who answered an adapted Mediterranean index food frequency questionnaire. Eight percent of the participants presented high processed meat consumption (≥5 times per week). We explored associations of processed meat consumption with participant characteristics using multinomial logistic regression models. Main factors associated with higher consumption were being men, younger and currently employed, and having a high intake (>4 times per week) of red meat (Odds ratio, 2.71, 95% CI 2.10-3.48), butter/cream (1.96, 1.60-2.41), whole-fat dairy products (1.32, 1.04-1.67) and a high intake (≥1 time per day) of sugary snacks/sweets (2.49, 2.04-3.03) and sugary drinks (1.97, 1.63-2.38). Processed meat consumption associated to chronic diseases, particularly cardiovascular disease (Prevalence ratio, 2.28, 95% CI 1.58-3.29). Obesity mediated this association in a proportion of 5.0%, whereas for diabetes the proportion was 13.9%. In this population, processed meat was associated with other unhealthy dietary and lifestyle factors, as well as with chronic diseases, particularly cardiovascular disease.
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Affiliation(s)
- Jenny Ruedlinger
- Facultad de Medicina, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Advanced Center for Chronic Diseases, Universidad de Chile and Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Vicente Cid-Ossandón
- Facultad de Medicina, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Advanced Center for Chronic Diseases, Universidad de Chile and Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Andrea Huidobro
- Advanced Center for Chronic Diseases, Universidad de Chile and Pontificia Universidad Católica de Chile, Santiago, Chile
- Facultad de Medicina, School of Medicine, Universidad Católica del Maule, Talca, Chile
| | - Vanessa Van De Wyngard
- Facultad de Medicina, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Advanced Center for Chronic Diseases, Universidad de Chile and Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Claudio Vargas
- Advanced Center for Chronic Diseases, Universidad de Chile and Pontificia Universidad Católica de Chile, Santiago, Chile
- Departamento de Matemáticas y Ciencias de la Computación, Facultad de Ciencias, Universidad de Santiago de Chile, Santiago, Chile
| | - Catterina Ferreccio
- Facultad de Medicina, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Advanced Center for Chronic Diseases, Universidad de Chile and Pontificia Universidad Católica de Chile, Santiago, Chile
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Sabbari M, Mirzababaei A, Shiraseb F, Clark CCT, Mirzaei K. The association between recommended and non-recommended food scores on cardiovascular risk factors in obese and overweight adult women: a cross-sectional study. BMC Public Health 2022; 22:795. [PMID: 35449003 PMCID: PMC9027453 DOI: 10.1186/s12889-021-12404-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 12/10/2021] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE Obesity is a highly prevalent, non-communicable, disease associated with numerous comorbid complications, such as cardiovascular disease. Following a healthy diet is known to help reduce the risk of both obesity and cardiovascular disease. This study was conducted to evaluate the association of recommended food score (RFS) and none recommended food score (NRFS) with cardiovascular risk factors in overweight and obese women. METHODS This cross-sectional study was performed on 379 overweight and obese (BMI ≥25 kg/m2) women aged 18-48 years. Anthropometric measurements and body composition analysis were assessed in all participants. Dietary intake was assessed by a valid and reliable food frequency questionnaire (FFQ) containing 147 items, and RFS and NRFS was calculated. Biochemical assessments including TC, HDL, LDL, TG, FBS, insulin, HOMA-IR, and hs-CRP were quantified by ELISA. RESULTS The mean age and BMI of participants were 36.73 ± 9.21 (y) and 31.17 ± 4.22 (kg/m2), respectively. Binary logistic regression showed that participants in the highest tertile of the RFS compared to the lowest tertile had 57% lower odds for hypertriglyceridemia [OR = 0.43, 95%CI = 0.20-0.92, P = 0.03]. Subjects with high adherence to the NRFS had lower HDL [OR = 2.11, 95%CI = 1.08-4.12, P = 0.02] and higher odds for hypertriglyceridemia [OR = 2.95, 95%CI = 1.47-5.94, P = 0.002] compared to low adherence. CONCLUSIONS There was an inverse significant association between adherence to RFS and odds of hypertriglyceridemia. There was a significant association between NRFS and hypertriglyceridemia, in addition to an inverse association between NRFS and HDL. We recommend that people increase their consumption of fruits, vegetables, whole grains, lean meats or meat alternates, and low-fat dairy and avoid red meat, processed meat, chips, high-fat dairy, solid oil, refined grains, and variety of sweetened foods to prevent cardiovascular disease.
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Affiliation(s)
- Maryam Sabbari
- Faculty of Medical Sciences and Technologies, Islamic Azad University, Science and Research Branch of Tehran, Tehran, Iran
| | - Atieh Mirzababaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box: 14155-6117, Tehran, Iran
| | - Farideh Shiraseb
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box: 14155-6117, Tehran, Iran
| | - Cain C T Clark
- Centre for Intelligent Healthcare, Coventry University, Coventry, CV1 5FB, UK
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box: 14155-6117, Tehran, Iran.
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27
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Lee YJ, Park YH, Lee JW, Sung ES, Lee HS, Park J. Household-specific physical activity levels and energy intakes according to the presence of metabolic syndrome in Korean young adults: Korean National Health and nutrition examination survey 2016-2018. BMC Public Health 2022; 22:476. [PMID: 35272663 PMCID: PMC8908614 DOI: 10.1186/s12889-022-12852-3] [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: 09/21/2021] [Accepted: 02/21/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Participation in exercise, and dietary and nutritional intakes have an impact on the risk and prevalence of metabolic syndrome (MetS), but these effects may differ according to whether a person lives alone or in a multi-person household. We analyzed differences in physical activity (PA) levels and energy intake according to household-type and MetS presence among young adults, to investigate the relationships among these factors. METHODS Data of 3974 young adults (aged > 19 years and < 40 years) were obtained from the Korean National Health and Nutrition Examination Survey (2016-2018). We analyzed PA levels (occupational and recreational PA, and transport) and energy intake (total, carbohydrate, protein, and fat). RESULTS Logistic regression data showed that low PA levels and higher energy intake were associated with MetS incidence and its components in young adults, after adjusting for body mass index, smoking, household-type, and sex. Overall, there was no significant difference in PA level between the MetS and non-MetS group. The total energy intake was higher in the MetS than in the non-MetS group (p < 0.05). These results were similar to those found in multi-person households. In single-person households, the MetS group had significantly lower PA levels (p < 0.01) and total energy intake (p < 0.05) than the non-MetS group. CONCLUSIONS We found significant association among low PA levels, high energy intake, and MetS components in young Korean adults, but with patterns differing according to household type. Energy intake was higher in young adults with than those without MetS, who lived in multi-person households, while young adults with MetS who lived alone had lower PA levels and lower energy intake than those without MetS. These findings highlight the need for different approaches of implementing PA and nutrition strategies according to the type of household in order to prevent MetS.
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Affiliation(s)
- Young-Jun Lee
- Exercise Nutrition and Biochemistry Laboratory, Department of Physical Education, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - Yeon-Hee Park
- Department of Physical Education, Graduate School of Education, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - Jung-Woo Lee
- Department of Home Economics Education, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - Eun-Sook Sung
- Exercise Nutrition and Biochemistry Laboratory, Department of Physical Education, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - Hyun-Seob Lee
- Department of Physical Education, Graduate School of Education, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
| | - Jonghoon Park
- Exercise Nutrition and Biochemistry Laboratory, Department of Physical Education, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
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Videja M, Sevostjanovs E, Upmale-Engela S, Liepinsh E, Konrade I, Dambrova M. Fasting-Mimicking Diet Reduces Trimethylamine N-Oxide Levels and Improves Serum Biochemical Parameters in Healthy Volunteers. Nutrients 2022; 14:nu14051093. [PMID: 35268068 PMCID: PMC8912301 DOI: 10.3390/nu14051093] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/25/2022] [Accepted: 03/03/2022] [Indexed: 01/04/2023] Open
Abstract
Elevated plasma levels of trimethylamine N-oxide (TMAO) have been proposed as a diet-derived biomarker of cardiometabolic disease risk. Caloric restriction is the most common dietary intervention used to improve cardiometabolic health; however, novel trends suggest a fasting-mimicking diet (FMD) as a more feasible alternative. FMD is a variation of intermittent fasting, based on caloric restriction and limitation of protein sources of animal origin, applied in daily cycles during a 5-day period. As TMAO is intensively produced by gut microbiota after the consumption of animal-derived products, we aim to investigate whether a 5-day FMD affects plasma TMAO levels and markers of metabolic health. To investigate whether an increase in vegetable intake possesses similar effects on TMAO levels and metabolic parameters, healthy volunteers (n = 24) were subjected to a 5-day FMD and 19 volunteers served as a reference group (VEG). This group of volunteers consumed an additional four servings of vegetables per day, but otherwise stayed on their usual diet. FMD resulted in a twofold decrease in plasma TMAO levels, which was not evident in the volunteers from the VEG group. Moreover, FMD led to a weight loss of 2.8 ± 0.2 kg and a subsequent reduction in BMI compared to baseline. The FMD group exhibited a significant elevation in plasma ketone bodies (14-fold compared to baseline) and a decrease in IGF-1 levels by 37 ± 8 ng/mL. Since fasting glucose and C-peptide levels decreased, all volunteers in the FMD group showed improved insulin sensitivity and a decreased HOMA-IR index. In contrast, in the VEG group, only a slight reduction in plasma levels of fasting glucose and triglycerides was noted. In conclusion, we show that FMD is a viable strategy to reduce plasma levels of TMAO by limiting caloric intake and animal-derived protein consumption. The reduction in the level of TMAO could be an additional benefit of FMD, leading to a reduced risk of cardiometabolic diseases.
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Affiliation(s)
- Melita Videja
- Latvian Institute of Organic Synthesis, LV-1006 Riga, Latvia; (E.S.); (S.U.-E.); (E.L.); (M.D.)
- Faculty of Pharmacy, Riga Stradiņš University, LV-1007 Riga, Latvia
- Correspondence:
| | - Eduards Sevostjanovs
- Latvian Institute of Organic Synthesis, LV-1006 Riga, Latvia; (E.S.); (S.U.-E.); (E.L.); (M.D.)
| | - Sabine Upmale-Engela
- Latvian Institute of Organic Synthesis, LV-1006 Riga, Latvia; (E.S.); (S.U.-E.); (E.L.); (M.D.)
- Department of Endocrinology, Riga East University Hospital, LV-1038 Riga, Latvia;
| | - Edgars Liepinsh
- Latvian Institute of Organic Synthesis, LV-1006 Riga, Latvia; (E.S.); (S.U.-E.); (E.L.); (M.D.)
| | - Ilze Konrade
- Department of Endocrinology, Riga East University Hospital, LV-1038 Riga, Latvia;
- Department of Internal Diseases, Riga Stradiņš University, LV-1007 Riga, Latvia
| | - Maija Dambrova
- Latvian Institute of Organic Synthesis, LV-1006 Riga, Latvia; (E.S.); (S.U.-E.); (E.L.); (M.D.)
- Faculty of Pharmacy, Riga Stradiņš University, LV-1007 Riga, Latvia
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Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2700] [Impact Index Per Article: 1350.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Abiri B, Valizadeh M, Nasreddine L, Hosseinpanah F. Dietary determinants of healthy/unhealthy metabolic phenotype in individuals with normal weight or overweight/obesity: a systematic review. Crit Rev Food Sci Nutr 2022; 63:5856-5873. [PMID: 35001754 DOI: 10.1080/10408398.2021.2025036] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Objectives: Nutritional factors are amongst the major determinants in the onset and development of obesity and metabolic complications. Nevertheless, the dietary determinants of metabolic health are not completely elucidated. The aim of this systematic review is to investigate nutritional and dietary factors that may contribute to metabolic heterogeneity in individuals with obesity or normal weight. Methods: A literature search was performed in PubMed, Scopus, EMBASE, and google scholar databases until August 2021, to locate studies that examined metabolic health and its association with intakes of specific foods or food groups, nutrient intakes or status, as well as adherence to certain dietary patterns. Two researchers had independently screened titles and abstracts, examined full-text studies, conducted data extraction, and evaluated their quality using the Newcastle-Ottawa Scale. Results: Twenty-seven studies, with a total of 39518 subjects, were included. Of these studies, 11 articles evaluated the association between different dietary patterns and metabolic phenotypes, while 15 had investigated the association of single food/nutrients intakes or nutrient status with metabolic phenotype, and one paper evaluated the association of dietary inflammatory index with metabolic health. The findings of these studies propose that healthy dietary patterns such as the Mediterranean pattern, Dietary Approaches to Stop Hypertension, and population-derived patterns (such as the "Healthy" and "Fruit and vegetable" patterns) were associated with higher odds of the metabolically healthy phenotype. Higher intakes of fruits, vegetables, dairy products, coffee/tea, vitamin D, magnesium, and flavonoids, were suggested to lower the risk of developing metabolically unhealthy phenotype, while, higher consumption of saturated fat, carbohydrate and sugar-sweetened beverages, fast foods, organ meats, and a pro-inflammatory diet increased the risk. Conclusion: Results from published studies, which were mostly cross-sectional, suggest that higher adherence to unhealthier dietary patterns, characterized by the consumption of refined and processed foods, was associated with a lower likelihood of having a healthy metabolic phenotype, while the opposite was observed for healthier dietary patterns. Findings may be used in developing nutritional strategies aimed at improving metabolic health in the population.
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Affiliation(s)
- Behnaz Abiri
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Majid Valizadeh
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Lara Nasreddine
- Department of Nutrition and Food Sciences, Faculty of Agricultural and Food Sciences, American University of Beirut, Lebanon
| | - Farhad Hosseinpanah
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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31
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Dehghani Firouzabadi F, Jayedi A, Asgari E, Akbarzadeh Z, Janbozorgi N, Djafarian K, Shab-Bidar S. Association of Dietary and Lifestyle Inflammation Score With Metabolic Syndrome in a Sample of Iranian Adults. Front Nutr 2021; 8:735174. [PMID: 34676234 PMCID: PMC8523681 DOI: 10.3389/fnut.2021.735174] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 09/02/2021] [Indexed: 12/17/2022] Open
Abstract
Objective: We aimed to evaluate the association between the dietary and lifestyle inflammation score (DLIS) and metabolic syndrome (MetS) and its components in a sample of Iranian adults. Design: Population-based cross-sectional study. Setting: General adult population living in Tehran, Iran. Subjects: We included 827 adult men and women with an age range of 18–59 years who were referred to health centers in different districts of Tehran, Iran. Dietary intake was assessed by a semiquantitative food frequency questionnaire with 168 items. The DLIS was calculated based on four components, including dietary inflammation score, physical activity, cigarette smoking, and general obesity. Higher DLIS represents a more proinflammatory diet and lifestyle. The odds ratio (OR) and 95% confidence interval (CI) of the MetS across quartiles of the DLIS was calculated by using logistic regression analysis, controlling for age, sex, energy intake, marital status, education status, and occupation. Results: A total of 827 participants (31% men) were included, with a mean age of 44.7 ± 10.7 years. The prevalence of the MetS was 30.5%. The DLIS ranged between −2.35 and +3.19 (mean ± SD: 0.54 ± 1.09). There was a significant positive association between the DLIS and odds of MetS (OR fourthvs.thefirstquartile: 1.57, 95% CI: 1.01–2.45) in the fully adjusted model. Conclusion: Our results showed a significant positive association between the DLIS and odds of MetS. The results of the present crosssectional study suggested that having a more proinflammatory lifestyle can be associated with MetS. More prospective studies are needed to confirm the findings.
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Affiliation(s)
- Fatemeh Dehghani Firouzabadi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Jayedi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Elaheh Asgari
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Akbarzadeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Nasim Janbozorgi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Kurosh Djafarian
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Sakineh Shab-Bidar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
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Mirmiran P, Farhadnejad H, Teymoori F, Asghari G, Parastouei K, Azizi F. The association of dietary diabetes risk reduction score and its components with risk of metabolic syndrome incident in Tehranian adults. BMC Endocr Disord 2021; 21:206. [PMID: 34666751 PMCID: PMC8527668 DOI: 10.1186/s12902-021-00872-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 10/13/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Evidence of possible beneficial effects of dietary diabetes risk reduction score (DDRRS) on reducing the risk of various chronic diseases such as metabolic syndrome (MetS) are limited. This is a prospective, population-based cohort study, which aimed to investigate the relationship of the DDRRS and its components with MetS incident in Iranian adults. METHODS Individuals without MetS (n=3561) were recruited from participants of the Tehran Lipid and Glucose Study (2009-2011) and followed for a mean of 6.01 years. A validated food frequency questionnaire was used to determine the DDRRS using based on eight components, including higher intakes of cereal fiber, nuts, coffee, and polyunsaturated: saturated fat ratio and lower intakes of red or processed meats, sugar-sweetened beverages, trans fatty acids, and low glycemic index. We used the multivariable logistic regression analysis to determine the odds ratio (ORs) and 95 % confidence interval (CI) of MetS across the tertiles of DDRRS. RESULTS The mean (SD) age of individuals was 38.1(12.6) years at baseline. Median (25-75 interquartile range) DDRRS for all participants was 20(18-22). During the study follow-up, 682(19.1 %) new cases of MetS were reported. Based on the age and sex-adjusted model, participants in highest tertile of DDRRS had lower risk of MetS in compared with the lowest one (OR=0.64;95 %CI:0.52-0.79, P for trend=0.001). In the multivariable adjusted model, after adjustment for all possible confounding variables, the risk of MetS is decreased across tertiles of DDRRS (OR=0.60;95 %CI:0.48-0.75, P for trend=0.001). Also, higher scores of some DDRRS components including red and processed meat, sugar sweetened beverages, and coffee were related to decreased incidence of MetS. CONCLUSIONS The results of this study revealed that greater adherence to DDRRS can be associated with decreased risk of MetS in Iranian adult.
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Affiliation(s)
- Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hossein Farhadnejad
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Farshad Teymoori
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Golaleh Asghari
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Karim Parastouei
- Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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33
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Hajihashemi P, Hassannejad R, Haghighatdoost F, Mohammadifard N, Sadeghi M, Roohafza H, Sajjadi F, Sarrafzadegan N. The long-term association of different dietary protein sources with metabolic syndrome. Sci Rep 2021; 11:19394. [PMID: 34588516 PMCID: PMC8481327 DOI: 10.1038/s41598-021-98688-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 09/03/2021] [Indexed: 11/17/2022] Open
Abstract
Due to scarce epidemiologic data linking dietary protein intakes and metabolic syndrome (MetS), we aim to determine the longitudinal association of different types of dietary protein with the incidence of MetS among Iranians adults. The study was conducted in the framework of the Isfahan Cohort Study (ICS) on 6504 adults, aged ≥ 35 years, and free of MetS at baseline. A validated food frequency questionnaire was used for assessing usual dietary intakes. MetS was defined according to the Joint Scientific Statement. Mixed-effects logistic regression was applied to examine the associations between changes in weekly frequency consumption of protein and MetS status. After a median follow-up of 11.25 years, in multivariate-adjusted model, each additional frequency consumption of total protein intake (OR 0.83; 95% CI 0.81-0.85), animal protein (OR 0.80; 95% CI 0.77-0.83), plant protein (OR 0.70; 95% CI 0.64-0.76), red meat (OR 0.74; 95% CI 0.70-0.78), poultry (OR 0.73; 95% CI 0.68-0.78), egg (OR 0.79; 95% CI 0.72-0.88) and nuts and seeds (OR 0.77; 95% CI 0.71-0.84) was associated with reduced risk of MetS. No significant association was found for processed meat (OR 0.96; 95% CI 0.87-1.01) and legumes and soy (OR 0.96; 95% CI 0.86-1.07) with MetS. Our results suggest an independent inverse association between total protein, animal and plant protein and the risk of MetS. These associations did not differ by sex. Although our results can be considered to be a strategy to reduce MetS risk by dietary guidelines, randomized clinical trials are required to confirm our findings.
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Affiliation(s)
- Parisa Hajihashemi
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Razieh Hassannejad
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Fahimeh Haghighatdoost
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, PO Box 81745, Isfahan, Iran.
| | - Noushin Mohammadifard
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, PO Box 81745, Isfahan, Iran.
| | - Masoumeh Sadeghi
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hamidreza Roohafza
- Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Firoozeh Sajjadi
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, PO Box 81745, Isfahan, Iran
| | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, PO Box 81745, Isfahan, Iran
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Gallardo-Alfaro L, Bibiloni MDM, Bouzas C, Mascaró CM, Martínez-González MÁ, Salas-Salvadó J, Corella D, Schröder H, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, Lopez-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Micó RM, Pintó X, Gaforio JJ, Ortíz-Ramos M, Altés-Boronat A, Luca BL, Daimiel L, Ros E, Sayon-Orea C, Becerra-Tomás N, Gimenez-Alba IM, Castañer O, Abete I, Tojal-Sierra L, Pérez-López J, Torres-Collado L, Colom A, Garcia-Rios A, Castro-Barquero S, Bernal R, Santos-Lozano JM, Fernandez-Lazaro CI, Hernández-Alonso P, Saiz C, Zomeño MD, Zulet MA, Belló-Mora MC, Basterra-Gortari FJ, Canudas S, Goday A, Tur JA. Physical activity and metabolic syndrome severity among older adults at cardiovascular risk: 1-Year trends. Nutr Metab Cardiovasc Dis 2021; 31:2870-2886. [PMID: 34366176 DOI: 10.1016/j.numecd.2021.06.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 06/08/2021] [Accepted: 06/21/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND AND AIMS Modifiable lifestyle factors, such as physical activity (PA) and Mediterranean diet (MD), decrease metabolic syndrome (MetS). The aim was to assess 1-year changes of leisure-time physical activity (LTPA), sedentary behavior, and diet quality according to MetS severity in older population at high cardiovascular risk. METHODS AND RESULTS Prospective analysis of 55-75-year-old 4359 overweight/obese participants with MetS (PREDIMED-Plus trial) categorized in tertiles according to 1-year changes of a validated MetS severity score (MetSSS). Anthropometrics, visceral adiposity index, triglycerides and glucose index, dietary nutrient intake, biochemical marker levels, dietary inflammatory index, and depression symptoms were measured. Diet quality was assessed by 17-item MD questionnaire. PAs were self-reported using the Minnesota-REGICOR Short Physical Activity Questionnaire and 30-s chair stand test. Sedentary behaviors were measured using the Spanish version of the Nurses' Health Study questionnaire. After 1-year follow-up, decreasing MetSSS was associated with an anti-inflammatory dietary pattern, high intake of vegetables, fruits, legumes, nuts, whole grain cereals, white fish, and bluefish and low intake of refined cereals, red and processed meat, cookies/sweets, and snacks/ready-to-eat-meals. It resulted in high intake of polyunsaturated fatty acids, omega-3 fatty acids, protein, fiber, vitamins B1, B6, B9, C, D, potassium, magnesium, and phosphorus and low glycemic index and saturated fatty acid, trans fatty acid, and carbohydrates intake. Regarding PA and sedentary behavior, decreasing MetSSS was associated with increased moderate-to-vigorous LTPA, chair stand test, and decreased sedentary and TV-viewing time. CONCLUSION Decreasing MetSSS was associated with an anti-inflammatory dietary pattern, high LTPA, high MD adherence, low sedentary time, and low depression risk.
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Affiliation(s)
- Laura Gallardo-Alfaro
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Maria Del Mar Bibiloni
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Cristina Bouzas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Catalina M Mascaró
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, 31008 Pamplona, Spain; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Hospital Universitari de Sant Joan. Universitat Rovira I Virgili, 43201 Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Helmut Schröder
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - J Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Cardiometabolics Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Ángel M Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071 Málaga, Spain
| | - Jesús Vioque
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Miguel Hernández University, Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, 46020 Alicante, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - José Lopez-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Francisco J Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, 29010 Málaga, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Luís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016 Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Preventive Medicine, University of Granada, 18071 Granada, Spain
| | - Rafael M Micó
- CIBER Diabetes y enfermedades metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Institute of Biomedicine (IBIOMED), University of León, 24071 Leon, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - José J Gaforio
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Health Sciences, Center for Advanced Studies in Olive Grove and Olive Oils, University of Jaen, 23071 Jaen, Spain
| | - María Ortíz-Ramos
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria San Carlos (IdISSC), 28040 Madrid, Spain
| | - Andreu Altés-Boronat
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Bogdana L Luca
- Department of Endocrinology, Fundación Jiménez-Díaz, 28040 Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program.IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Carmen Sayon-Orea
- University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, 31008 Pamplona, Spain; Servicio Navarro de Salud, Osasunbidea, 31003, Pamplona, Spain
| | - Nerea Becerra-Tomás
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Hospital Universitari de Sant Joan. Universitat Rovira I Virgili, 43201 Reus, Spain
| | - Ignacio Manuel Gimenez-Alba
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Olga Castañer
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Itziar Abete
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Lucas Tojal-Sierra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Jéssica Pérez-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071 Málaga, Spain
| | - Laura Torres-Collado
- Miguel Hernández University, Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL-UMH, 46020 Alicante, Spain
| | - Antoni Colom
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Rosa Bernal
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, 29010 Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Cesar I Fernandez-Lazaro
- University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, 31008 Pamplona, Spain
| | - Pablo Hernández-Alonso
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Hospital Universitari de Sant Joan. Universitat Rovira I Virgili, 43201 Reus, Spain
| | - Carmen Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Maria Dolors Zomeño
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Maria Angeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Maria C Belló-Mora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - F Javier Basterra-Gortari
- University of Navarra, Department of Preventive Medicine and Public Health, IDISNA, 31008 Pamplona, Spain; Servicio Navarro de Salud, Osasunbidea, 31003, Pamplona, Spain
| | - Silvia Canudas
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Hospital Universitari de Sant Joan. Universitat Rovira I Virgili, 43201 Reus, Spain
| | - Albert Goday
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain; Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain.
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The association between meat consumption and the metabolic syndrome: a cross-sectional study and meta-analysis. Br J Nutr 2021; 127:1467-1481. [PMID: 34420528 DOI: 10.1017/s0007114521002452] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
The findings regarding the associations between red meat, fish and poultry consumption, and the metabolic syndrome (Mets) have been inconclusive, and evidence from Chinese populations is scarce. A cross-sectional study was performed to investigate the associations between red meat, fish and poultry consumption, and the prevalence of the Mets and its components among the residents of Suzhou Industrial Park, Suzhou, China. A total of 4424 participants were eligible for the analysis. A logistic regression model was used to estimate the OR and 95 % CI for the prevalence of the Mets and its components according to red meat, fish and poultry consumption. In addition, the data of our cross-sectional study were meta-analysed under a random effects model along with those of published observational studies to generate the summary relative risks (RR) of the associations between the highest v. lowest categories of red meat, fish and poultry consumption and the Mets and its components. In the cross-sectional study, the multivariable-adjusted OR for the highest v. lowest quartiles of consumption was 1·23 (95 % CI 1·02, 1·48) for red meat, 0·83 (95 % CI 0·72, 0·97) for fish and 0·93 (95 % CI 0·74, 1·18) for poultry. In the meta-analysis, the pooled RR for the highest v. lowest categories of consumption was 1·20 (95 % CI 1·06, 1·35) for red meat, 0·88 (95 % CI 0·81, 0·96) for fish and 0·97 (95 % CI 0·85, 1·10) for poultry. The findings of both cross-sectional studies and meta-analyses indicated that the association between fish consumption and the Mets may be partly driven by the inverse association of fish consumption with elevated TAG and reduced HDL-cholesterol and, to a lesser extent, fasting plasma glucose. No clear pattern of associations was observed between red meat or poultry consumption and the components of the Mets. The current findings add weight to the evidence that the Mets may be positively associated with red meat consumption, inversely associated with fish consumption and neutrally associated with poultry consumption.
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Guo H, Ding J, Liang J, Zhang Y. Association of Red Meat and Poultry Consumption With the Risk of Metabolic Syndrome: A Meta-Analysis of Prospective Cohort Studies. Front Nutr 2021; 8:691848. [PMID: 34307439 PMCID: PMC8295459 DOI: 10.3389/fnut.2021.691848] [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: 04/07/2021] [Accepted: 06/14/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: This study aims to investigate the association of red meat (processed and unprocessed) and poultry consumption with the risk of metabolic syndrome (MetS). Methods: Prospective cohort studies on the association of red meat (processed and unprocessed) and poultry consumption with the risk of MetS were identified by comprehensive literature search in the PubMed, Web of Science, and Embase databases up to March 2021. The pooled relative risk (RR) of MetS with 95% CIs for the highest vs. lowest category of red meat or poultry consumption was extracted for meta-analysis. Results: A total of nine prospective cohort studies were included in this study. Among them, eight studies were identified for red meat consumption. The overall multi-variable adjusted RR demonstrated that red meat consumption was associated with a higher risk of MetS (RR = 1.35, 95% CI: 1.13–1.62; P = 0.001). Moreover, four and three studies were specifically related to processed and unprocessed red meat consumption, respectively. Both processed (RR = 1.48, 95% CI: 1.11–1.97; P = 0.007) and unprocessed red meat (RR = 1.32, 95% CI: 1.14–1.54; P = 0.0003) consumption was associated with a higher risk of MetS. With regard to poultry consumption, three studies were included. The overall multi-variable adjusted RR suggested that poultry consumption was associated with lower risk of MetS (RR = 0.85, 95% CI: 0.75–0.97; P = 0.02). Conclusions: The current evidence indicates that red meat (processed and unprocessed) consumption is associated with a higher risk of MetS, whereas, poultry consumption is associated with a lower risk of MetS. More well-designed randomized controlled trials are still needed to address the issues further.
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Affiliation(s)
- Hongbin Guo
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, China
| | - Jun Ding
- Changsha Social Work College, Changsha, China
| | - Jieyu Liang
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, China
| | - Yi Zhang
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, China
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Interventions to reduce meat consumption by appealing to animal welfare: Meta-analysis and evidence-based recommendations. Appetite 2021; 164:105277. [PMID: 33984401 PMCID: PMC9205607 DOI: 10.1016/j.appet.2021.105277] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 08/07/2020] [Accepted: 04/20/2021] [Indexed: 11/22/2022]
Abstract
Reducing meat consumption may improve human health, curb environmental damage, and limit the large-scale suffering of animals raised in factory farms. Most attention to reducing consumption has focused on restructuring environments where foods are chosen or on making health or environmental appeals. However, psychological theory suggests that interventions appealing to animal welfare concerns might operate on distinct, potent pathways. We conducted a systematic review and meta-analysis evaluating the effectiveness of these interventions. We searched eight academic databases and extensively searched grey literature. We meta-analyzed 100 studies assessing interventions designed to reduce meat consumption or purchase by mentioning or portraying farm animals, that measured behavioral or self-reported outcomes related to meat consumption, purchase, or related intentions, and that had a control condition. The interventions consistently reduced meat consumption, purchase, or related intentions at least in the short term with meaningfully large effects (meta-analytic mean risk ratio [RR] = 1.22; 95% CI: [1.13, 1.33]). We estimated that a large majority of population effect sizes (71%; 95% CI: [59%, 80%]) were stronger than RR = 1.1 and that few were in the unintended direction. Via meta-regression, we identified some specific characteristics of studies and interventions that were associated with effect size. Risk-of-bias assessments identified both methodological strengths and limitations of this literature; however, results did not differ meaningfully in sensitivity analyses retaining only studies at the lowest risk of bias. Evidence of publication bias was not apparent. In conclusion, animal welfare interventions preliminarily appear effective in these typically short-term studies of primarily self-reported outcomes. Future research should use direct behavioral outcomes that minimize the potential for social desirability bias and are measured over long-term follow-up.
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Alshahawy R, Habachi NE, Allam E, Jernerén F, Refsum H, Elshorbagy A. Changes in plasma fatty acids and related biomarkers during transition to an exclusively plant- and fish-based diet in healthy adults. Nutrition 2021; 90:111306. [PMID: 34166896 DOI: 10.1016/j.nut.2021.111306] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 04/05/2021] [Accepted: 04/23/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVE The aim of this study was to examine the time scale of plasma fatty acid changes during transition to an exclusively plant- and fish-based diet in healthy individuals and determine whether there are associated alterations in arachidonic acid (ARA)-derived inflammatory mediators, estimated stearoyl coenzyme A desaturase (SCD) activity, and blood pressure. METHODS In pursuit of a religious fast, 36 adults abstained from eating poultry, meat, dairy products, and eggs, while increasing fish intake for 6 wk. Participants were assessed 1 wk before (W0) and 1 (W1) and 6 (W6) weeks after the diet change. RESULTS By W6, fasting plasma long-chain ω-3 polyunsaturated fatty acids (ω-3 LC-PUFAs); docosahexaenoic (DHA) and eicosapentaenoic (EPA) had increased (+67% and +73%, respectively; P ≤ 0.001), with early rise of DHA (+22%), but not EPA at W1.The ω-3 index (sum of DHA and EPA as a percent of total fatty acids) increased from 2.1% to 3.4%. ARA decreased progressively (W1, -9%; W6, -16%; P < 0.001). ARA precursors γ-linolenic and dihomo-γ-linolenic acids also decreased, without changes in the ARA-derived mediators prostaglandin-E2 and leukotriene-B4. Myristic acid decreased at W1 (-37%) and W6 (-40%). There was no consistent change in SCD indices. At W6, systolic and diastolic blood pressure had declined by 8 and 5 mm Hg, respectively (P ≤ 0.013). CONCLUSIONS Shifting to a plant- and fish-based diet produces rapid and sustained increases in ω-3 LC-PUFAs and decreases the ω-6 PUFA ARA and its precursors, consistent with a cardio-protective profile. The rapid response suggests that these biomarkers may be useful for assessment of diet interventions.
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Affiliation(s)
- Rasha Alshahawy
- Department of Physiology, Faculty of Medicine, University of Kafr-Elshikh, Kafr-Elshikh, Egypt.
| | - Nihal El Habachi
- Alexandria Clinical Research Center, Alexandria University, Alexandria, Egypt; Department of Physiology, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
| | - Eman Allam
- Department of Physiology, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
| | - Fredrik Jernerén
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden; Department of Pharmacology, University of Oxford, Oxford, UK
| | - Helga Refsum
- Department of Pharmacology, University of Oxford, Oxford, UK; Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Amany Elshorbagy
- Department of Physiology, Faculty of Medicine, University of Alexandria, Alexandria, Egypt; Department of Pharmacology, University of Oxford, Oxford, UK
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Kabthymer RH, Nega Techane S, Hailemariam S, Bekele YA, Mekuriaw B. Metabolic syndrome among people with mental illness in sub Saharan Africa: Female gender as a factor. A Systematic review and meta-analysis. Ann Med Surg (Lond) 2021; 65:102351. [PMID: 34007445 PMCID: PMC8111264 DOI: 10.1016/j.amsu.2021.102351] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 04/19/2021] [Accepted: 04/25/2021] [Indexed: 11/16/2022] Open
Abstract
Background The prevalence of metabolic syndrome among psychiatric patients in developing nations is mounting alarmingly and it is a reason for decreased life expectancy and quality of life of people with mental illness. Although great discrepant epidemiological studies have been carried out in Sub Saharan African countries, there has no systematic review and meta-analysis conducted. Therefore, summarized evidence has a paramount importance for policy makers and health planning. This study aims to estimate the prevalence of metabolic syndrome and to examine the effect of gender on metabolic syndrome among people with mental illness in sub Saharan Africa. Method Systematic literature search was performed using PubMed, CINAHL, Web of science, Global health electronic databases. In addition, gray literatures were retrieved from Google and Google scholar. Two authors independently extracted all the necessary data using a format prepared in Microsoft Excel. Data analysis was done using STATA Version 14 (software). The heterogeneity of the studies was assessed using I2test.Random-effects model was used to estimate pooled prevalence of MetS and its odds ratio. Publication bias was checked using Funnel plot and Egger's test. Result 1306 studies were reviewed and nine studies fulfilling the inclusion criteria were selected for the meta-analysis. The meta-analysis of nine studies that included 1896 participants found a prevalence rate of metabolic syndrome which was performed based on assessment criteria; JIS criteria prevalence 21.11% (95% CI: 17.93–24.29), IDF criteria 23.77% (95% CI: 15.41–32.12) and NCEP ATP-III criteria 21.63% (95% CI: 16.30–26.96). Female gender (AOR = 3.00; 95% CI: 1.98–4.55) was found to have a significant association with metabolic syndrome. Conclusion The prevalence of metabolic syndrome among people with mental illness in sub Saharan Africa is high in various assessment criteria. The likelihood is significantly increased in females than males. Metabolic syndrome increases by three folds among females with mental illness as compared to their counterparts. Prevalence of metabolic syndrome among psychiatric patients in developing nations is increasing alarmingly. This study revealed the prevalence of metabolic syndrome and the effect of gender on metabolic syndrome. The prevalence of metabolic syndrome among people with mental illness in sub Saharan Africa is high. The Likelihood of Metabolic syndrome increases by three folds among females with mental illness as compared to males.
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Affiliation(s)
- Robel Hussen Kabthymer
- School of Public Health, College of Health Sciences and Medicine, Dilla University, Dilla, Ethiopia
| | - Solomon Nega Techane
- School of Medicine, College of Health Sciences and Medicine, Dilla University, Dilla, Ethiopia
| | - Solomon Hailemariam
- School of Public Health, College of Health Sciences and Medicine, Dilla University, Dilla, Ethiopia
| | - Yibeltal Alemu Bekele
- Department of Reproductive Health, College of Health Sciences and Medicine, Bahir Dar University, Bahirdar, Ethiopia
| | - Birhanie Mekuriaw
- Department of Psychiatry, College of Health Science and Medicine, Dilla University, Dilla, Ethiopia
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Yuzbashian E, Nosrati-Oskouie M, Asghari G, Chan CB, Mirmiran P, Azizi F. Associations of dairy intake with risk of incident metabolic syndrome in children and adolescents: Tehran Lipid and Glucose Study. Acta Diabetol 2021; 58:447-457. [PMID: 33387028 DOI: 10.1007/s00592-020-01651-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 12/01/2020] [Indexed: 01/27/2023]
Abstract
AIMS This cohort study examined the association of total and individual dairy products with the risk of incident MetS and its components in children and adolescents. METHODS We prospectively assessed 531 participants aged 6-18 years without the MetS at baseline during an average 6.6-year follow-up period. Dairy consumption was estimated with a valid and reliable food frequency questionnaire. The MetS was defined according to the Cook criteria. The multivariable regression model was used to calculate the odds ratio (OR) for incident MetS associated with the consumption of dairy products. RESULTS The incidence of MetS was 9.8% after an average 6.6-year follow-up. After adjusting for potential confounders, OR (95% confidence interval) for incident MetS was 0.48 (0.23-1.00) for total dairy, 0.44 (0.21-0.92) for low-fat dairy, 0.46 (0.22-0.98) for low-fat milk, and 0.45 (0.21-0.97) for low-fat yogurt when comparing participants in the highest versus lowest tertile. A moderate intake of regular cheese was associated with decreased risk of MetS (OR = 0.43, 95% CI: 0.19-0.97). Replacing one serving/day of total dairy with nuts was associated with a lower (OR: 0.63, 95% CI: 0.42-0.95), whereas replacement by red and processed meat was associated with higher (OR: 1.55, 95%CI: 1.21-1.97) MetS risk. No significant association was found between high-fat dairy and MetS risk. CONCLUSIONS Higher consumption of dairy products, particularly low-fat milk and yogurt, was associated with reduced risk of incident MetS, suggesting the capability of low-fat dairy products in the primary prevention of MetS in children and adolescents.
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Affiliation(s)
- Emad Yuzbashian
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Nosrati-Oskouie
- Department of Clinical Nutrition, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Golaleh Asghari
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Catherine B Chan
- Department of Agricultural, Food and Nutritional Science and Department of Physiology, University of Alberta, Edmonton, AB, Canada
| | - Parvin Mirmiran
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, P.O. Box 19395-4763, Tehran, Iran.
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
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Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Cheng S, Delling FN, Elkind MSV, Evenson KR, Ferguson JF, Gupta DK, Khan SS, Kissela BM, Knutson KL, Lee CD, Lewis TT, Liu J, Loop MS, Lutsey PL, Ma J, Mackey J, Martin SS, Matchar DB, Mussolino ME, Navaneethan SD, Perak AM, Roth GA, Samad Z, Satou GM, Schroeder EB, Shah SH, Shay CM, Stokes A, VanWagner LB, Wang NY, Tsao CW. Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association. Circulation 2021; 143:e254-e743. [PMID: 33501848 DOI: 10.1161/cir.0000000000000950] [Citation(s) in RCA: 3220] [Impact Index Per Article: 1073.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease. RESULTS Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Alshammary AF, Alharbi KK, Alshehri NJ, Vennu V, Ali Khan I. Metabolic Syndrome and Coronary Artery Disease Risk: A Meta-Analysis of Observational Studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18041773. [PMID: 33670349 PMCID: PMC7918238 DOI: 10.3390/ijerph18041773] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/03/2021] [Accepted: 02/03/2021] [Indexed: 12/12/2022]
Abstract
Although numerous studies have described the link between metabolic syndrome (MetS) and Coronary Artery Disease (CAD), no meta-analysis has been carried out on this relationship. Thus, the present study intended to address this limitation. A systematic search was carried out using electronic databases, such as PubMed, CINAHL Plus, Medline, and Web of Science. A sum of 10 studies (n = 9327) was incorporated in the meta-analysis. Compared with non-MetS, MetS was significantly associated with high CAD risk (OR = 4.03, 95% CI = 3.56–4.56). The MetS components were also significantly correlated with high CAD risk (OR = 3.72, 95% CI = 3.22–4.40). The presence of two (OR = 3.93, 95% CI = 2.81–5.49), three (OR = 4.09, 95% CI = 2.85–5.86), four (OR = 4.04, 95% CI = 2.83–5.78), or all five MetS components (OR = 3.92, 95% CI = 3.11–4.93), were significantly associated with a high risk of CAD. MetS and its individual or combined elements were linked with high CAD risk based on contemporary evidence. Thus, the assessment of MetS and its components might help identify people at a higher risk of advancing CAD in the future.
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Affiliation(s)
- Amal F. Alshammary
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia; (A.F.A.); (K.K.A.); (N.J.A.)
| | - Khalid Khalaf Alharbi
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia; (A.F.A.); (K.K.A.); (N.J.A.)
| | - Naif Jameel Alshehri
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia; (A.F.A.); (K.K.A.); (N.J.A.)
| | - Vishal Vennu
- Department of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia;
| | - Imran Ali Khan
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia; (A.F.A.); (K.K.A.); (N.J.A.)
- Correspondence:
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Hassannejad R, Moosavian SP, Mohammadifard N, Mansourian M, Roohafza H, Sadeghi M, Sarrafzadegan N. Long-term association of red meat consumption and lipid profile: A 13-year prospective population-based cohort study. Nutrition 2021; 86:111144. [PMID: 33592495 DOI: 10.1016/j.nut.2021.111144] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/11/2020] [Accepted: 12/30/2020] [Indexed: 11/24/2022]
Abstract
OBJECTIVES The long-term associations between red meat consumption and lipid profile are not completely known. This longitudinal study assessed the association of red meat consumption with lipid profile in healthy Iranian adults using repeated measurements of red meat intake. METHODS The population-based longitudinal study was conducted within the framework of the Isfahan Cohort Study on a subsample of 1376 healthy adults, aged ≥35 y, for whom complete information was available in all three phases of the study. A simplified qualitative 48-item food frequency questionnaire, blood pressure, anthropometric measurements, and fasting serum lipids and blood sugar were evaluated in three phases. Mixed-effects linear regression was applied to examine the longitudinal associations between red meat consumption and lipid profile. RESULTS After adjustment for potential confounders, each single-serving increase in red meat and organ meat consumption was significantly associated with an increment in triacylglycerol (β = 6.30; 95% confidence interval [CI], 3.97-8.63), total cholesterol (β = 3.03; 95% CI, 2.02-4.04), low-density lipoprotein (β = 3.40; 95% CI, 2.64-4.17), high-density lipoprotein (β = 0.60; 95% CI, 0.28-0.93), ratio of low-density to high-density lipoprotein (β = 0.03; 95% CI, 0.01-0.05), and non-high-density lipoprotein (β = 2.42; 95% CI, 1.41-3.43). However, processed meat consumption had no significant association with lipid profile. CONCLUSIONS Total red meat intake had a significant, direct association with lipid profile after a 13-year follow-up period in a cohort of the healthy Iranian population.
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Affiliation(s)
- Razieh Hassannejad
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Seyedeh Parisa Moosavian
- Department of Clinical Nutrition, School of Nutrition and Food Science, Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Noushin Mohammadifard
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Marjan Mansourian
- Epidemiology and Biostatistics Department, Health School, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Hamidreza Roohafza
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Masoumeh Sadeghi
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
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Vasbinder A, Tinker LF, Neuhouser ML, Pettinger M, Hale L, Di C, Zaslavsky O, Hayman LL, Lin X, Eaton C, Wang D, Scherman A, Stefanick ML, Barrington WE, Reding KW. Risk of metabolic syndrome and metabolic phenotypes in relation to biomarker-calibrated estimates of energy and protein intakes: an investigation from the Women's Health Initiative. Am J Clin Nutr 2020; 113:706-715. [PMID: 33381804 PMCID: PMC7948844 DOI: 10.1093/ajcn/nqaa334] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 10/22/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) is associated with increased mortality independent of BMI, resulting in discordant metabolic phenotypes, such as metabolically healthy obese and metabolically unhealthy normal-weight individuals. Studies investigating dietary intake in MetS have reported mixed results, due in part to the limitations of self-reported measures. OBJECTIVES To investigate the role of biomarker-calibrated estimates of energy and protein in MetS and metabolic phenotypes. METHODS Postmenopausal participants from the Women's Health Initiative (WHI) study who were free of MetS at baseline, had available data from FFQs at baseline, and had components of MetS at Year 3 (n = 3963) were included. Dietary energy and protein intakes were estimated using biomarker calibration methods. MetS was defined as 3 or more of the following: elevated serum triglycerides (≥150 mg/dL), low HDL cholesterol (<50 mg/dL), hypertension [systolic blood pressure (BP) ≥130 or diastolic BP ≥85 mmHg], elevated serum glucose (>100 mg/dL), and abdominal adiposity (waist circumference > 89 cm). Models were adjusted for age, WHI study component, race/ethnicity, education, income, smoking, recreational physical activity, disease history, and parity. RESULTS For every 10% increment in total calibrated energy intake, women were at a 1.37-fold elevated risk of MetS (95% CI, 1.15-1.63); a 10% increment in calibrated total protein intake was associated with a 1.21-fold elevated risk of MetS (95% CI, 1.00-1.47). Specifically, animal protein intake was associated with MetS (OR, 1.08; 95% CI, 1.02-1.14), whereas vegetable protein intake was not (OR, 0.99; 95% CI, 0.95-1.03). No differences were seen when examining metabolic phenotypes. CONCLUSIONS We found that higher calibrated total energy, total protein, and total animal protein intakes were strongly associated with MetS. If replicated in clinical trials, these results will have implications for the promotion of energy and animal protein restrictions for the reduction of MetS risks.
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Affiliation(s)
- Alexi Vasbinder
- Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, WA, USA
| | - Lesley F Tinker
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Marian L Neuhouser
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Mary Pettinger
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lauren Hale
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Chongzhi Di
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Oleg Zaslavsky
- Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, WA, USA
| | - Laura L Hayman
- Department of Nursing, University of Massachusetts Boston, Boston, MA, USA,Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Boston, MA, USA
| | - Xioachen Lin
- Department of Epidemiology, Center for Global Cardiometabolic Health, Brown University, Providence, RI, USA
| | - Charles Eaton
- Department of Family Medicine and Epidemiology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Di Wang
- Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, WA, USA
| | - Ashley Scherman
- Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, WA, USA
| | - Marcia L Stefanick
- Department of Medicine, Stanford Prevention Research Center, Stanford, CA, USA
| | - Wendy E Barrington
- Child, Family, Population Health Nursing, University of Washington School of Nursing, Seattle, WA, USA
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Ham D, Cho Y, Park MS, Park YS, Kim SY, Seol HM, Park YM, Woo S, Joung H, Lim DS. Inverse association of improved adherence to dietary guidelines with metabolic syndrome: the Seoul Metabolic Syndrome Management program. Nutr Res Pract 2020; 14:621-636. [PMID: 33282124 PMCID: PMC7683205 DOI: 10.4162/nrp.2020.14.6.621] [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: 06/17/2019] [Revised: 08/01/2019] [Accepted: 04/09/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND/OBJECTIVES The Seoul Metabolic Syndrome Management (SMESY) program is a 1-yr lifestyle modification program targeting metabolic syndrome (MetS) in Seoul residents. This study investigated the associations between adherence to dietary guidelines and MetS among the SMESY program participants. SUBJECTS/METHODS Data of 54,385 participants aged 20–64 yrs who completed the SMESY program in 2015, had information on adherence to dietary guidelines, and were not medicated for diabetes, hypertension, or dyslipidemia were analyzed. Participants underwent MetS screening and completed a lifestyle questionnaire including adherence to 10 dietary guidelines before and after participation. Participants were classified according to the number of MetS risk factors at baseline (MetS group, ≥ 3; risk group, 1–2; healthy group, none). Adherence to dietary guidelines was determined from the number of “yes” responses regarding the fulfillment of each guideline on ≥ 5 days/week. Multiple logistic regression was used to evaluate associations between newly diagnosed MetS and changes in adherence to dietary guidelines. RESULTS In the MetS group, MetS prevalence decreased after the SMESY program (men, −41.9%p; women, −48.7%p), and all risk factors were significantly improved (P < 0.0001). All groups exhibited improved adherence to all dietary guidelines after participation (P < 0.0001). In the MetS group with positively changed adherence scores, the MetS prevalence decreased by −44.1%p for men and −49.5%p for women, whereas the prevalence in those with negative changes decreased by −38.1%p for men and −48.6%p for women. In the risk group, those with positively changed adherence scores had significantly decreased odds ratios (ORs) for newly diagnosed MetS compared with those with negative changes (OR, 0.70; 95% confidence interval [CI], 0.61–0.80 for men; OR, 0.88; 95% CI, 0.79–0.99 for women). CONCLUSIONS The SMESY program may effectively reduce the risk of MetS among adults with risk factors by improving adherence to dietary guidelines.
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Affiliation(s)
- Dongwoo Ham
- Institute of Health and Environment, Seoul National University, Seoul 08826, Korea
| | - YoungYun Cho
- Department of Public Health, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea.,The Korean Dietetic Association, Seoul 07345, Korea
| | - Mi-Suk Park
- Metabolic Syndrome Management Center of Seoul Metropolitan Government, Seoul 02751, Korea
| | - Yun-Sug Park
- Metabolic Syndrome Management Center of Seoul Metropolitan Government, Seoul 02751, Korea
| | - Sun-Young Kim
- Metabolic Syndrome Management Center of Seoul Metropolitan Government, Seoul 02751, Korea
| | - Hye-Min Seol
- Metabolic Syndrome Management Center of Seoul Metropolitan Government, Seoul 02751, Korea
| | - Yoo Mi Park
- Health Care Policy Division, Citizen's Health Bureau, Seoul Metropolitan Government, Seoul 04524, Korea
| | - Sunok Woo
- Health Care Policy Division, Citizen's Health Bureau, Seoul Metropolitan Government, Seoul 04524, Korea
| | - Hyojee Joung
- Institute of Health and Environment, Seoul National University, Seoul 08826, Korea.,Department of Public Health, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea
| | - Do-Sun Lim
- Metabolic Syndrome Management Center of Seoul Metropolitan Government, Seoul 02751, Korea.,Department of Cardiology, Cardiovascular Center, Korea University Anam Hospital, Seoul 02841, Korea
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Krishnamoorthy Y, Rajaa S, Murali S, Rehman T, Sahoo J, Kar SS. Prevalence of metabolic syndrome among adult population in India: A systematic review and meta-analysis. PLoS One 2020; 15:e0240971. [PMID: 33075086 PMCID: PMC7571716 DOI: 10.1371/journal.pone.0240971] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 10/06/2020] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE This review was done to determine the prevalence of metabolic syndrome (MS) among adult general population in India. We also wanted to find the gender, setting, and region-wide distribution of MS in India. METHODS We conducted systematic searches in various databases including Medline, ScienceDirect, Cochrane library and Google Scholar from inception until August 2019. We included studies conducted in India reporting the prevalence of MS among adults aged 18 years or more. We used the Newcastle Ottawa scale to assess the quality of included studies. We carried out a meta-analysis with random-effects model and reported pooled prevalence with 95% confidence intervals (CIs). We used the Funnel plot to assess publication biases. RESULTS In total, we analysed 113 data from 111 studies with 133,926 participants. Majority of the included studies (76 out of 111) had low risk of bias. We found significant heterogeneity among the included studies (p<0.001). We also found a symmetrical funnel plot indicating an absence of publication bias. The prevalence of MS among adult population in India was 30% (95%CI: 28%-33%). There was a steady increase in the burden across the age groups from 13% (18-29 years group) to 50% (50-59 years). We also found that people living in urban areas (32%; 95%CI: 29%-36%) had higher prevalence when compared to tribal (28%; 95%CI: 21%-36%) or rural adults (22%; 95%CI: 20%-25%). Gender distribution of MS showed that the females had higher prevalence (35%; 95%CI: 31%-38%) when compared to males 26% (95%CI: 22%-29%). CONCLUSION Almost one in three adults in India suffer from MS. Females, people living in urban areas and in northeast region had higher prevalence of MS. Development and implementation of policies and protocols for the screening of MS would enable us in early diagnosis and treatment with special focus towards the vulnerable and high-risk groups.
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Affiliation(s)
- Yuvaraj Krishnamoorthy
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Sathish Rajaa
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Sharan Murali
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Tanveer Rehman
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Jayaprakash Sahoo
- Department of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Sitanshu Sekhar Kar
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
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Pasdar Y, Moradi S, Esfahani NH, Darbandi M, Niazi P. Intake of Animal Source Foods in Relation to Risk of Metabolic Syndrome. Prev Nutr Food Sci 2020; 25:133-139. [PMID: 32676463 PMCID: PMC7333013 DOI: 10.3746/pnf.2020.25.2.133] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 03/26/2020] [Indexed: 12/12/2022] Open
Abstract
Metabolic syndrome (MetS) is a prevalent disorder associated with diabetes and cardiovascular diseases. Lifestyle and occupation can increase the risk of developing MetS. Since dietary pattern is a major component of lifestyle, this study aimed to determine the relationship between consumption of animal source foods (ASFs) and MetS among food suppliers. This cross-sectional study was conducted on 112 male food suppliers. We measured anthropometric indices, body composition, and blood pressure of the participants. Blood biochemistry was determined using 5 mL fasting blood samples. MetS was defined based on the guidelines described by the International Diabetes Federation (IDF). ASF intake, including dairy products, eggs, red meat, poultry, and fish, was assessed using food frequency questionnaires. Overall, 46.4% of participants had MetS. Participants who consumed dairy 3∼5 times/d and more than 5 times/d had lower risk of MetS [odds ratios (OR): 0.18 (confidence interval (CI) 95%: 0.05∼0.62) and OR: 0.20 (CI 95%: 0.06∼0.67), respectively] compared with participants in the lowest tertile. The risk of hypertension was significantly decreased in participants who consumed dairy products >5 times/d [OR: 0.22 (CI 95%: 0.07∼0.67)]. Other ASFs were not associated against the risk of MetS in crude and adjusted models. Our findings indicated that adhering to dairy products can decrease the risk of MetS. Higher adherence to dairy products was also protective against hypertension in these participants.
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Affiliation(s)
- Yahya Pasdar
- Department of Nutritional Sciences, Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
| | - Shima Moradi
- Department of Nutritional Sciences, Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
| | - Neda Hydarzadeh Esfahani
- Student Research Committee, School of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
| | - Mitra Darbandi
- Department of Nutritional Sciences, Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
| | - Parisa Niazi
- Department of Nutritional Sciences, Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
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Seo Y, Song HJ, Song YR. Fat-to-muscle ratio as a predictor of insulin resistance and metabolic syndrome in Korean adults. J Cachexia Sarcopenia Muscle 2020; 11:710-725. [PMID: 32030917 PMCID: PMC7296262 DOI: 10.1002/jcsm.12548] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 07/31/2019] [Accepted: 01/07/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The present study evaluated the associations of the fat-to-muscle ratio (FMR) with metabolic syndrome (MetS) and insulin resistance (IR) in Korean adults using nationally representative survey data. METHODS A two-stage stratified sampling method was reflected in a cross-sectional study involving a total of 13 032 participants aged ≥ 19 years who participated in the fourth and fifth Korea National Health and Nutrition Examination Surveys. The homeostasis model assessment for IR (HOMA-IR) was used to evaluate IR and was calculated as follows: [fasting plasma glucose level (mg/dL) × fasting plasma insulin level (uIU/mL)]/405. MetS was defined using the 2006 International Diabetes Federation criteria, and FMR was measured using whole-body dual-energy X-ray absorptiometry and calculated as follows: total fat mass (kg) divided by total lean mass (kg). In addition, the optimal FMR cut-off values for detecting MetS and the odds ratios (ORs) for MetS risk were determined according to the FMR quartile and sex. RESULTS Among all participants, the proportion of women was 58.4%, and the mean age was 44.22 ± 0.26 years. The FMR significantly differed between men and women (0.30 ± 0.002 vs. 0.53 ± 0.003, respectively, P < 0.001), and the prevalence of MetS and IR gradually increased as FMR increased (P for trend: <0.001). The optimal FMR cut-off value for detecting MetS was higher in women than in men (0.555 vs. 0.336, respectively). The negative predictive value was the highest in normal-weight participants (0.9992 in women and 0.9986 in men), while the positive predictive value was the highest in obese participants (0.5994 in women and 0.5428 in men). Based on the derived cut-off FMR, a high FMR was associated with poor outcomes in terms of cardiometabolic risk markers (P < 0.001). The multivariable-adjusted ORs for MetS, abdominal obesity, and IR (HOMA-IR ≥ 3) were 5.35 [95% confidence interval (CI): 4.39-6.52], 7.67 (95% CI: 6.33-9.30), and 3.25 (95% CI: 2.70-3.92), respectively, in men and 5.59 (95% CI: 4.66-6.72), 7.48 (95% CI: 6.35-8.82), and 2.55 (95% CI: 2.17-3.00), respectively, in women. CONCLUSIONS In the present study, a high FMR was significantly associated with the prevalence of MetS and IR. The present findings also showed that FMR can be a novel indicator for detecting the absence or presence of MetS, particularly in metabolically healthy normal-weight individuals and metabolically obese obese-weight individuals.
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Affiliation(s)
- Young‐Gyun Seo
- Department of Family MedicineHallym University Sacred Heart HospitalAnyangGyeonggi‐doRepublic of Korea
| | - Hong Ji Song
- Department of Family MedicineHallym University Sacred Heart HospitalAnyangGyeonggi‐doRepublic of Korea
| | - Young Rim Song
- Department of Internal MedicineHallym University Sacred Heart HospitalDongan‐guAnyangGyeonggi‐doRepublic of Korea
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Metabolic syndrome and its relation to dietary patterns among a selected urbanised and semi-urbanised Tibetan population in transition from nomadic to settled living environment. Public Health Nutr 2020; 24:984-992. [PMID: 32312349 DOI: 10.1017/s1368980019004798] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To explore the scope of metabolic syndrome (MetS) and its relationship to the major dietary patterns among an urbanised and semi-urbanised Tibetan population in transition from nomadic to settled settings. DESIGN Cross-sectional. SETTING Community-based. PARTICIPANTS Urbanised and semi-urbanised Tibetan adults (n 920, aged 18-90 years), who have moved from nomadic to settled living environments, answered questionnaires on food consumption frequency and lifestyle characteristics through structured face-to-face interviews and completed anthropometric measurement and metabolic biomarker tests. RESULTS MetS prevalence was 30·1 % in males and 32·1 % in females. Low HDL-cholesterol and central obesity were the leading metabolic abnormalities (86·3 and 55·8 %, respectively). Three major dietary patterns - urban, western and pastoral - were identified. Beef/mutton was an important food group for all three identified dietary patterns. In addition, the urban dietary pattern was characterised by frequent consumption of vegetables, tubers/roots and refined carbohydrates; the western pattern was characterised by sweetened drinks, snacks and desserts; and the pastoral pattern featured tsamba (roasted Tibetan barley), Tibetan cheese, butter tea/milk tea and whole-fat dairy foods. Individuals in the highest quintile of urban dietary pattern scores were found to be at a higher risk of developing MetS (OR 2·43, 95 % CI 1·41, 4·18) and central obesity (OR 1·91, 95 % CI 1·16, 3·14) after controlling for potential confounders. CONCLUSIONS MetS was common among urbanised and semi-urbanised Tibetan adult population in transition. The urban dietary pattern, in particular, was a risk factor for MetS. To prevent MetS, nutrition interventions need to be tailored to address the variety of local diet patterns to promote healthy eating.
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Gallardo-Alfaro L, Bibiloni MDM, Mascaró CM, Montemayor S, Ruiz-Canela M, Salas-Salvadó J, Corella D, Fitó M, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Fernández-García JC, Lapetra J, Pintó X, García Ríos A, Bueno-Cavanillas A, Gaforio JJ, Matía-Martín P, Daimiel L, Micó-Pérez RM, Vidal J, Vázquez C, Ros E, Fernandez-Lázaro CI, Becerra-Tomás N, Gimenez-Alba IM, Zomeño MD, Konieczna J, Compañ-Gabucio L, Tojal-Sierra L, Pérez-López J, Zulet MÁ, Casañas-Quintana T, Castro-Barquero S, Gómez-Pérez AM, Santos-Lozano JM, Galera A, Basterra-Gortari FJ, Basora J, Saiz C, Pérez-Vega KA, Galmés-Panadés AM, Tercero-Maciá C, Sorto-Sánchez C, Sayón-Orea C, García-Gavilán J, Muñoz-Martínez J, Tur JA. Leisure-Time Physical Activity, Sedentary Behaviour and Diet Quality are Associated with Metabolic Syndrome Severity: The PREDIMED-Plus Study. Nutrients 2020; 12:nu12041013. [PMID: 32272653 PMCID: PMC7230557 DOI: 10.3390/nu12041013] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 03/31/2020] [Accepted: 04/01/2020] [Indexed: 12/13/2022] Open
Abstract
Healthy lifestyle factors, such as physical activity (PA) and Mediterranean diet (MD), decrease the likelihood of developing metabolic syndrome (MetS). The aim of this study was to report main lifestyle components and related factors according to the MetS severity. Cross-sectional analysis was done of baseline lifestyle factors from 5739 participants with overweight/obesity and MetS features (aged 55–75 years) included in the PREDIMED-PLUS primary cardiovascular prevention randomized trial. Participants were categorized in tertiles according to a validated MetS severity score (MetSSS). Anthropometrics, visceral adiposity index, dietary nutrient intake, biochemical marker levels, as well as a Dietary Inflammatory Index and depression symptoms (Beck Depression Inventory-II) were measured. Diet quality was assessed using a 17-item energy-restricted MD questionnaire. Duration and intensity of PA was self-reported using the Minnesota-REGICOR Short Physical Activity Questionnaire. Sedentary behaviours were measured using the Spanish version of the Nurses’ Health Study questionnaire. The 30 s chair stand test was also assessed. Participants with highest MetSSS showed higher values of cardiovascular risk factors (except for total cholesterol and LDL cholesterol), depression risk, sedentary and TV viewing time, and lower moderate and vigorous leisure-time physical activity (LTPA). Highest MetSSS participants tended to a pro-inflammatory dietary pattern and tended to lower MD adherence. In addition, they showed lower carbohydrate and nut intake and higher intake of protein, saturated and trans fatty acids, cholesterol, iodine, sodium, red and processed meat products, other oils different from olive oil and spirit alcoholic drinks. The highest MetS severity score was associated with lower moderate and vigorous LTPA and higher sedentary time and depression risk, as they tended to a pro-inflammatory dietary pattern and lower MD adherence.
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Affiliation(s)
- Laura Gallardo-Alfaro
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Maria del Mar Bibiloni
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Catalina M. Mascaró
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Sofía Montemayor
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Miguel Ruiz-Canela
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Jesús Vioque
- Nutritional Epidemiology Unit, Miguel Hernández University, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), 46020 Alicante, Spain; (J.V.); (L.C.-G.)
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
| | - Ángel M. Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071 Málaga, Spain
| | - J. Alfredo Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - José Carlos Fernández-García
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, 29010 Málaga, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Antonio García Ríos
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Aurora Bueno-Cavanillas
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
- Department of Preventive Medicine, University of Granada, 18071 Granada, Spain
| | - José J. Gaforio
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
- Department of Health Sciences, Centro de Estudios Avanzados en Olivar y Aceites de Oliva, University of Jaen, 23071 Jaen, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain;
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Rafael M. Micó-Pérez
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain;
- Network of Researchers REDI Fundación SEMERGEN, 28009 Madrid, Spain
| | - Josep Vidal
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain;
| | - Clotilde Vázquez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Endocrinology, Fundación Jiménez-Díaz, 28040 Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Cesar Ignacio Fernandez-Lázaro
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
| | - Nerea Becerra-Tomás
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Ignacio Manuel Gimenez-Alba
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - María Dolors Zomeño
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Jadwiga Konieczna
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Laura Compañ-Gabucio
- Nutritional Epidemiology Unit, Miguel Hernández University, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), 46020 Alicante, Spain; (J.V.); (L.C.-G.)
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (A.B.-C.); (J.J.G.)
| | - Lucas Tojal-Sierra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Jéssica Pérez-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29071 Málaga, Spain
| | - M. Ángeles Zulet
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Tamara Casañas-Quintana
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Institute for Biomedical Research, University of Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
| | - Sara Castro-Barquero
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Barcelona, 08036 Barcelona, Spain
| | - Ana María Gómez-Pérez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Virgen de la Victoria Hospital, Department of Endocrinology, University of Málaga, 29010 Málaga, Spain
| | - José Manuel Santos-Lozano
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Ana Galera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - F. Javier Basterra-Gortari
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
- Servicio Navarro de Salud, Osasunbidea. 31071 Pamplona, Spain
| | - Josep Basora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Carmen Saiz
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Preventive Medicine, University of Valencia, 46100 Valencia, Spain
| | - Karla Alejandra Pérez-Vega
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Mèdica (IMIM), 08003 Barcelona, Spain
| | - Aina M. Galmés-Panadés
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | | | - Carolina Sorto-Sánchez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48013 Vitoria-Gasteiz, Spain
| | - Carmen Sayón-Orea
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
- Servicio Navarro de Salud, Osasunbidea. 31071 Pamplona, Spain
| | - Jesús García-Gavilán
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Júlia Muñoz-Martínez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Nutritional Epidemiology Unit, Miguel Hernández University, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), 46020 Alicante, Spain; (J.V.); (L.C.-G.)
| | - Josep A. Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (L.G.-A.); (M.d.M.B.); (C.M.M.); (S.M.); (M.R.-C.); (J.S.-S.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (J.C.F.-G.); (J.L.); (X.P.); (A.G.R.); (C.V.); (E.R.); (C.I.F.-L.); (N.B.-T.); (I.M.G.-A.); (M.D.Z.); (J.K.); (L.T.-S.); (J.P.-L.); (M.Á.Z.); (T.C.-Q.); (S.C.-B.); (A.M.G.-P.); (J.M.S.-L.); (A.G.); (F.J.B.-G.); (J.B.); (C.S.); (K.A.P.-V.); (A.M.G.-P.); (C.S.-S.); (C.S.-O.); (J.G.-G.); (J.M.-M.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- Correspondence: ; Tel.: +34-971-1731; Fax: +34-971-173184
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