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Santiago S, Ochoa Díaz ME, Zazpe I, Hershey MS, Bes-Rastrollo M, Martínez González MÁ. Association between overall quality of macronutrients and incidence of overweight and obesity in the SUN (Seguimiento Universidad de Navarra) cohort. NUTR HOSP 2024; 41:1071-1081. [PMID: 39054857 DOI: 10.20960/nh.05181] [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] [Indexed: 07/27/2024] Open
Abstract
Introduction Introduction: no previous large prospective studies have assessed the global quality of macronutrients in association with the risk of overweight/obesity. Objective: to prospectively assess the association of an overall macronutrient quality index (MQI) with weight change and the incidence of overweight/obesity in the Seguimiento Universidad de Navarra (SUN) cohort. Methods: the diet of 9,344 Spanish university graduates free of overweight/obesity (mean age: 36.5 [SD, 11.1]) was assessed through a validated 136-item food frequency questionnaire. The MQI was calculated as the sum of the Carbohydrate Quality Index, the Fat Quality Index, and the Healthy Plate Protein Quality Index. Participants were classified into groups (G) according to MQI. Incident overweight/obesity was defined if follow-up questionnaires indicated BMI was ≥ 25 kg/m2. Multiple linear regression models and Cox proportional hazard models were used to assess the average yearly weight change and the risk of overweight/obesity over follow-up time. Results: 2,465 cases of incident overweight/obesity were identified (median follow-up: 10.7 years). Increasing MQI was significantly associated with lower annual weight gain (g): ß coefficient: -99.0, (95 % CI: -173.6 to -24.5) in the G4 vs G1, p for trend = 0.007. In the fully adjusted model the incidences of overweight/obesity in G4 and G1 were 21.7 % (431 cases) and 29.3 % (954 cases), respectively. The adjusted HR was 0.87 (95 % CI, 0.77-0.98, p for trend = 0.036). When we used repeated analyses updating the MQI after 10 years of follow-up, results remained similar. Conclusions: a significant inverse association between a multidimensional MQI and the risk of overweight/obesity was found in this Mediterranean cohort of adults.
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Affiliation(s)
- Susana Santiago
- Department of Nutrition and Food Sciences and Physiology. Universidad de Navarra. Instituto de Investigación Sanitaria de Navarra (IdiSNA)
| | | | - Itziar Zazpe
- Department of Nutrition and Food Sciences and Physiology. Universidad de Navarra. Instituto de Investigación Sanitaria de Navarra (IdiSNA). CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn). Instituto de Salud Carlos III
| | | | - Maira Bes-Rastrollo
- Instituto de Investigación Sanitaria de Navarra (IdiSNA). CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn). Instituto de Salud Carlos III. Department of Preventive Medicine and Public Health. Facultad de Medicina. Clínica Universidad de Navarra
| | - Miguel Ángel Martínez González
- Instituto de Investigación Sanitaria de Navarra (IdiSNA). CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn). Instituto de Salud Carlos III. Department of Preventive Medicine and Public Health. Facultad de Medicina. Clínica Universidad de Navarra
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Gkouskou KK, Grammatikopoulou MG, Lazou E, Vasilogiannakopoulou T, Sanoudou D, Eliopoulos AG. A genomics perspective of personalized prevention and management of obesity. Hum Genomics 2024; 18:4. [PMID: 38281958 PMCID: PMC10823690 DOI: 10.1186/s40246-024-00570-3] [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: 11/18/2023] [Accepted: 01/03/2024] [Indexed: 01/30/2024] Open
Abstract
This review discusses the landscape of personalized prevention and management of obesity from a nutrigenetics perspective. Focusing on macronutrient tailoring, we discuss the impact of genetic variation on responses to carbohydrate, lipid, protein, and fiber consumption. Our bioinformatic analysis of genomic variants guiding macronutrient intake revealed enrichment of pathways associated with circadian rhythm, melatonin metabolism, cholesterol and lipoprotein remodeling and PPAR signaling as potential targets of macronutrients for the management of obesity in relevant genetic backgrounds. Notably, our data-based in silico predictions suggest the potential of repurposing the SYK inhibitor fostamatinib for obesity treatment in relevant genetic profiles. In addition to dietary considerations, we address genetic variations guiding lifestyle changes in weight management, including exercise and chrononutrition. Finally, we emphasize the need for a refined understanding and expanded research into the complex genetic landscape underlying obesity and its management.
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Affiliation(s)
- Kalliopi K Gkouskou
- Department of Biology, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, 11527, Athens, Greece.
- GENOSOPHY P.C., Athens, Greece.
| | - Maria G Grammatikopoulou
- Unit of Immunonutrition and Clinical Nutrition, Department of Rheumatology and Clinical Immunology, University General Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece
| | | | - Theodora Vasilogiannakopoulou
- Department of Biology, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, 11527, Athens, Greece
| | - Despina Sanoudou
- Clinical Genomics and Pharmacogenomics Unit, 4th Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Center for New Biotechnologies and Precision Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Aristides G Eliopoulos
- Department of Biology, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, 11527, Athens, Greece.
- GENOSOPHY P.C., Athens, Greece.
- Center for New Biotechnologies and Precision Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
- Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
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Agraib LM, Al-Shami I, Alkhatib B, Al-Dalaeen AM. Do macronutrient intakes affect obesity indices in Jordanian adults? Am J Hum Biol 2023; 35:e23970. [PMID: 37506187 DOI: 10.1002/ajhb.23970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 07/13/2023] [Accepted: 07/15/2023] [Indexed: 07/30/2023] Open
Abstract
OBJECTIVE To determine whether macronutrient intake is associated with novel obesity indices, including the conicity index (CI), body adiposity index (BAI), abdominal volume index (AVI), body roundness index (BRI), and weight-adjusted-waist index (WWI). METHODOLOGY A cross-sectional survey was conducted with 491 adults (344 males and 147 females) working at different universities in Jordan (July-December 2019). Daily intake of energy (kcal), carbohydrates (g), protein (g), and fat (g) was obtained using 24-h recalls collected over 2 days. Additionally, obesity indices were calculated. RESULTS Regardless of sex, energy, and carbohydrate intakes had a moderately significant positive association, whereas protein and fat intakes had a weakly significant association with BAI, AVI, and BRI. CI and WWI showed a weakly significant association with all macronutrients in males, a moderate correlation with energy and carbohydrate intake, and a weak association with fat and protein intake in females. Male participants had significant increases in the CI (T1 = 1.29 ± 0.01 vs. T3 = 1.36 ± 0.01, p = .018), AVI (T1 = 17.96 ± 0.52 vs. T3 = 22.81 ± 0.57, p = .011), and WWI (T1 = 10.72 ± 0.11 vs. T3 = 11.29 ± 0.09, p = .047) indices scores through the carbohydrate intake tertiles. Additionally, there was a significant increase in scores of AVI (T1 = 18.60 ± 0.56 vs. T3 = 21.42 ± 0.46, p = .048) and an almost significant increase in CI (T1 = 1.30 ± 0.01vs. T3 = 1.33 ± 0.01, p = .056) through the tertiles of protein intake. CONCLUSION Macronutrients were significantly associated with all indices. The effect of macronutrients on obesity indices is sex-based. Among men, CI, AVI, and WWI were the indices most affected by carbohydrate and protein intakes. Future studies should further investigate food sources and macronutrient quality.
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Affiliation(s)
- Lana M Agraib
- Department of Food Science and Nutrition, Faculty of Agriculture, Jerash University, Jerash, Jordan
| | - Islam Al-Shami
- Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan
| | - Buthaina Alkhatib
- Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan
| | - Anfal M Al-Dalaeen
- Department of Clinical Nutrition and Dietetics, Applied Science Private University, Amman, Jordan
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Coffey AA, Lillywhite R, Oyebode O. Meat versus meat alternatives: which is better for the environment and health? A nutritional and environmental analysis of animal-based products compared with their plant-based alternatives. J Hum Nutr Diet 2023; 36:2147-2156. [PMID: 37534713 DOI: 10.1111/jhn.13219] [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: 02/02/2023] [Revised: 05/31/2023] [Accepted: 07/13/2023] [Indexed: 08/04/2023]
Abstract
BACKGROUND Poor diets lead to negative health outcomes, including increased risk of noncommunicable diseases. Food systems, most notably agriculture, contribute to greenhouse gas emissions (GHGE) that lead to climate change. Meat consumption plays a role in both health and environmental burden. Consumption of meat alternatives may reduce these harms. The aim was to compare meat products and their plant-based alternatives on nutritional parameters, GHGE and price to examine if it is feasible and beneficial for policymakers and health professionals to recommend meat alternatives. METHODS Data on nutritional information and cost for 99 selected products were collected from five UK supermarkets. Estimates for GHGEs for 97 of these products were found through secondary articles. Median values for nutritional value, GHGE (kgCO2 e) and price per 100 g were calculated to allow comparisons between meat products and their alternatives. Mann-Whitney U tests were used to look for significant differences for each nutrient, emissions and price. RESULTS Meat alternatives contained significantly more fibre and sugar and were significantly higher in price compared to the equivalent meat products. Meat alternatives had a significantly lower number of calories, saturated fat, protein and kgCO2 e than meat products. There was no significant difference in the amount of salt between meat and meat alternatives. CONCLUSIONS Overall, this paper found that meat alternatives are likely to be better for health according to most parameters, while also being more environmentally friendly, with lower GHGEs. However, the higher price of these products may be a barrier to switching to meat alternatives for the poorest in society.
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Affiliation(s)
- Alice A Coffey
- Department of Public Health, University of Warwick Medical School, Coventry, UK
| | - Robert Lillywhite
- Department of Public Health, University of Warwick School of Life Sciences, Coventry, UK
| | - Oyinlola Oyebode
- Department of Public Health, University of Warwick Medical School, Coventry, UK
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Liu B, Hu Y, Rai SK, Wang M, Hu FB, Sun Q. Low-Carbohydrate Diet Macronutrient Quality and Weight Change. JAMA Netw Open 2023; 6:e2349552. [PMID: 38150249 PMCID: PMC10753393 DOI: 10.1001/jamanetworkopen.2023.49552] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 11/13/2023] [Indexed: 12/28/2023] Open
Abstract
Importance The associations of low-carbohydrate diets (LCDs) with long-term weight management remains unclear, and the source and quality of macronutrients within LCDs are less explored. Objectives To prospectively examine associations between changes in LCD indices and weight change among US adults. Design, Setting, and Participants This prospective cohort study included initially healthy participants at baseline from the Nurses' Health Study (NHS; 1986-2010), Nurses' Health Study II (NHSII; 1991-2015), and Health Professionals Follow-up Study (HPFS; 1986-2018). Data analysis was performed between November 2022 and April 2023. Exposures Five LCD indices were examined: (1) a total LCD (TLCD) emphasizing overall lower carbohydrate intake; (2) an animal-based LCD (ALCD) that emphasized animal-sourced protein and fat; (3) a vegetable-based LCD (VLCD) that emphasized plant-sourced protein and fat; (4) a healthy LCD (HLCD) emphasizing less refined carbohydrates, more plant protein, and healthy fat; and (5) an unhealthy LCD (ULCD) emphasizing less healthful carbohydrates, more animal protein, and unhealthy fat. Main Outcomes and Measures The outcome of interest was 4-year changes in self-reported body weight. Results A total of 123 332 participants (mean [SD] age, 45.0 [9.7] years; 103 320 [83.8%] female) were included in this study. The median carbohydrate intake (as a percentage of energy) of the highest quintiles of TLCD score at baseline ranged from 38.3% in HPFS to 40.9% in NHSII. Mean weight gain over 4-year intervals among participants varied from 0.8 kg in the HPFS to 1.8 kg in the NHSII. After adjusting for demographics and baseline and concomitant changes of selected lifestyle factors, each 1-SD increase in TLCD score was associated with 0.06 (95% CI, 0.04-0.08) kg more weight gain over the 4-year periods. Similarly, participants gained 0.13 (95% CI, 0.11 to 0.14) kg per each 1-SD increase in ALCD score and 0.39 (95% CI, 0.37 to 0.40) kg per each 1-SD change in ULCD score. In contrast, each 1-SD increase in VLCD score was associated with 0.03 (95% CI, 0.01 to 0.04) kg less weight gain, and each 1-SD increase in HLCD score was associated with 0.36 (95% CI, 0.35 to 0.38) kg less weight gain. The associations were more pronounced among obese individuals (per 1-SD increase in HLCD score: BMI ≥30, 0.88 [95% CI, 0.80, 0.97] kg less weight gain; BMI <25, 0.23 [95% CI, 0.20, 0.26] kg less weight gain; P for interaction < .001). Conclusions and Relevance These findings suggest that the quality of LCDs may play a critical role in modulating long-term weight change. Only LCDs that emphasized high-quality protein, fat, and carbohydrates from whole grains and other plant-based foods were associated with less weight gain.
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Affiliation(s)
- Binkai Liu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Yang Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Sharan K. Rai
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Frank B. Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
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Lee H, Moyo GT, Theophilus RJ, Oldewage-Theron W. Association of Dietary Changes with Risk Factors of Type 2 Diabetes among Older Adults in Sharpeville, South Africa, from 2004 to 2014. Nutrients 2023; 15:4751. [PMID: 38004145 PMCID: PMC10675501 DOI: 10.3390/nu15224751] [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: 09/29/2023] [Revised: 10/17/2023] [Accepted: 11/03/2023] [Indexed: 11/26/2023] Open
Abstract
This study aimed to evaluate the associations of dietary changes with risk factors of type 2 diabetes among older populations in Sharpeville, South Africa. A 24 h recall assessment, dietary diversity, and anthropometrics were measured. Blood samples were collected to assess fasting glucose and insulin. Regression analysis was performed using SPSS version 20. The mean BMI of the total of 103 participants was 30.63 kg/m2 at baseline and 29.66 kg/m2 at follow-up. Significantly higher BMI levels were reported in women than men both at baseline (p = 0.003) and follow-up (p = 0.009). Waist circumference significantly decreased from 96.20 cm to 93.16 cm (p = 0.046). The mean levels of HOMA-B significantly increased from 88.99 to 111.19 (p = 0.021). BMI was positively associated with intakes of total energy (p = 0.22), polyunsaturated fatty acids (p = 0.050), and cholesterol (p = 0.006). Waist circumference was strongly associated with total energy (p = 0.048), polyunsaturated fatty acids (p = 0.037), trans fatty acids (p = 0.039), and cholesterol (p = 0.000). HOMA-IR and HOMA-B were associated with intakes of fat (HOMA-IR: p = 0.013; HOMA-B: p = 0.040) and monounsaturated fatty acids (HOMA-IR: p = 0.003; HOMA-B: p = 0.040).
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Affiliation(s)
- Hyunjung Lee
- Department of Nutrition, Texas A&M University, College Station, TX 77843, USA
| | - Gugulethu T. Moyo
- Center for Health and Wellbeing, Princeton School of Public and International Affairs, Princeton University, Princeton, NJ 08544, USA;
| | - Rufus J. Theophilus
- Food Science and Human Nutrition Department, University of Florida, Gainesville, FL 32611, USA
| | - Wilna Oldewage-Theron
- Department of Nutritional Sciences, Texas Tech University, Lubbock, TX 79409, USA
- Department of Sustainable Food Systems and Development, University of the Free State, Bloemfontein 9301, South Africa
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Al-Shami I, Al-Dalaeen A, Alkhatib B, Agraib LM. Dietary fat types consumption association with obesity and coronary indices. J Nutr Sci 2023; 12:e110. [PMID: 37964980 PMCID: PMC10641695 DOI: 10.1017/jns.2023.92] [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: 06/09/2023] [Revised: 09/15/2023] [Accepted: 10/06/2023] [Indexed: 11/16/2023] Open
Abstract
This article aims to study the different dietary fat types associated with obesity and coronary indices. A sample of 491 healthy adults was included in a cross-sectional manner. Dietary fats intake, obesity indices (conicity index (CI), body adiposity index (BAI), abdominal volume index (AVI), body roundness index (BRI), and weight-adjusted-waist index (WWI)), and cardiovascular indices (cardiometabolic index (CMI), lipid accumulation product (LAP), and atherogenic index of plasma (AIP)) were calculated and studied. Participants with an acceptable intake of omega-3 had a higher BRI score (1⋅90 ± 0⋅06 v. 1⋅70 ± 0⋅06). Participants with an unacceptable intake of cholesterol had a higher CI (1⋅31 ± 0⋅11 v. 1⋅28 ± 0⋅12; P = 0⋅011), AVI (20⋅24 ± 5⋅8 v. 18⋅33 ± 6⋅0; P < 0⋅001), BRI (2⋅00 ± 1⋅01 v. 1⋅70 ± 1⋅00; P = 0⋅003), WWI (11⋅00 ± 0⋅91 v. 10⋅80 ± 0⋅97; P = 0⋅032), and lower AIP (0⋅46 ± 0⋅33 v. 0⋅53 ± 0⋅33; P = 0⋅024). Total fat, saturated fat (SFA), and polyunsaturated fat (PUFA) intake had a significant moderate correlation with AVI and BRI. The monounsaturated fat (MUFA) intake had a significantly weak correlation with CI, AVI, BRI, WWI, and AIP. Cholesterol and omega-6 had weak correlations with all indices. Similar correlations were seen among male and female participants. The different types of fat intake significantly affected obesity and coronary indices, especially SFA and PUFA, as well as omega-3 and cholesterol. Gender and the dietary type of fat intake have a relationship to influence the indicators of both obesity and coronary indices.
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Key Words
- AIP, atherogenic index of plasma
- AMDR, acceptable macronutrients distribution range
- ATP, adenosine triphosphate
- AVI, abdominal volume index
- BAI, body adiposity index
- BMI, body mass index
- BRI, body roundness index
- CI, conicity index
- CMI, cardiometabolic index
- CVD, cardiovascular disease
- Chol, cholesterol
- Cholesterol
- Coronary indices
- HDL, high-density lipoprotein cholesterol
- LAP, lipid accumulation product
- MUFA
- MUFA, monounsaturated fat
- MetS, metabolic syndrome
- NCD, non-communicable disease
- Obesity indices
- PUFA
- PUFA, polyunsaturated fat
- SFA
- SFA, saturated fat
- SPSS, Statistical Package for the Social Sciences
- T2DM, type 2 diabetes
- WC, waist circumference
- WHtR, waist-to-height ratio
- WWI, weight-adjusted-waist index
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Affiliation(s)
- Islam Al-Shami
- Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan
| | - Anfal Al-Dalaeen
- Department of Clinical Nutrition and Dietetics, Faculty of Allied Medical Sciences, Applied Science Private University, Amman, Jordan
| | - Buthaina Alkhatib
- Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan
| | - Lana M. Agraib
- Department of Food Science and Nutrition, Faculty of Agriculture, Jerash University, Jerash, Jordan
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Nikooyeh B, Zargaraan A, Ebrahimof S, Kalayi A, Zahedirad M, Yazdani H, Rismanchi M, Karami T, Khazraei M, Jafarpour A, Neyestani TR. Daily consumption of γ-oryzanol-fortified canola oil, compared with unfortified canola and sunflower oils, resulted in a better improvement of certain cardiometabolic biomarkers of adult subjects with type 2 diabetes: a randomized controlled clinical trial. Eur J Med Res 2023; 28:416. [PMID: 37817285 PMCID: PMC10563320 DOI: 10.1186/s40001-023-01409-8] [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: 06/01/2023] [Accepted: 09/28/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND This study was undertaken to examine the effects of daily consumption of γ-oryzanol (ORZ)-fortified canola oil, as compared with plain canola and sunflower oils, on certain cardiometabolic indicators. METHODS Ninety-two adult subjects from both sexes with T2D were randomly assigned to one of the three groups to receive: (a) ORZ-fortified canola oil (Group 1; n1 = 30); (b) unfortified canola oil (Group 2; n2 = 32); or (c) sunflower oil (Group 3; n3 = 30) for 12 weeks. The participants were instructed to use only the given oils for all cooking (but frying) purposes. Anthropometric, dietary and biochemical assessments were done initially and finally. RESULTS Though body mass index (BMI) significantly decreased in all three groups, only in Groups 1 and 2 waist circumference (WC) showed a significant decrement (-2.6 ± 0.1 and -2.2 ± 0.1 cm in Groups 1 and 2 respectively, p < 0.001 for both) which was accompanied by a significant reduction of blood pressure just in Group 1. Fasting blood glucose (FBG) and glycated hemoglobin (HbA1c) showed a significant decrease only in ORZ-fortified canola oil group (-7.7 ± 0.4 mg/dL, p = 0.039 and -0.7 ± 0.1%, p < 0.001, respectively). However, insulin resistance, as judged by HOMA-IR, did not change significantly. In addition, serum triglyceride (TG) concentrations decreased in all three groups but only in ORZ-fortified canola oil was this decrement statistically significant (-17.9 ± 2.1 mg/dL, p = 0.005). Other components of serum lipid profile did not change significantly in either group. CONCLUSIONS Consumption of either sunflower or canola oils for 12 weeks improved certain studied biomarkers. However, only ORZ-fortified canola oil resulted in a significant decrease of blood pressure, WC, FBG, HbA1c and TG. These findings can help both clinicians and public health authorities for dietary recommendations to subjects with T2D and presumably the whole community. TRIAL REGISTRATION number at clinicaltrials.gov (NCT05271045).
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Affiliation(s)
- Bahareh Nikooyeh
- Laboratory of Nutrition Research, National Nutrition and Food Technology Research Institute and Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Azizollaah Zargaraan
- Department of Food and Nutrition Policy and Planning Research, National Nutrition and Food Technology Research Institute and Faculty of Nutrition and Food Science, Shahid Beheshti University of Medical Sciences and Health Services, Tehran, Iran
| | - Samira Ebrahimof
- Laboratory of Nutrition Research, National Nutrition and Food Technology Research Institute and Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ali Kalayi
- Laboratory of Nutrition Research, National Nutrition and Food Technology Research Institute and Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maliheh Zahedirad
- Laboratory of Nutrition Research, National Nutrition and Food Technology Research Institute and Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hootan Yazdani
- Laboratory of Nutrition Research, National Nutrition and Food Technology Research Institute and Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Marjan Rismanchi
- Laboratory of Nutrition Research, National Nutrition and Food Technology Research Institute and Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Taher Karami
- Department of Research and Development, Kourosh Food Industry, Tehran, Iran
| | | | - Ali Jafarpour
- Quality Assurance Unit, Kourosh Food Industry, Tehran, Iran
| | - Tirang R Neyestani
- Laboratory of Nutrition Research, National Nutrition and Food Technology Research Institute and Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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9
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Parunyakul K, Chuchoiy A, Kooltueon S, Puttagamnerd P, Srisuksai K, Santativongchai P, Pongchairerk U, Tulayakul P, E-kobon T, Fungfuang W. Effect of the oil from the fatty tissues of Crocodylus siamensis on gut microbiome diversity and metabolism in mice. PLoS One 2023; 18:e0289073. [PMID: 37506097 PMCID: PMC10381048 DOI: 10.1371/journal.pone.0289073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
Dietary fat can alter host metabolism and gut microbial composition. Crocodile oil (CO) was extracted from the fatty tissues of Crocodylus siamensis. CO, rich in monounsaturated- and polyunsaturated fatty acids, has been reported to reduce inflammation, counter toxification, and improve energy metabolism. The aim of this study was to investigate the effect of CO on gut microbiota (GM) in laboratory mice as well as the accompanying metabolic changes in the animals. Forty-five C57BL/6 male mice were randomly divided into five groups and orally administrated either sterile water (control [C]); 1 or 3% (v/w) CO (CO-low [CO-L] and CO-high [CO-H], respectively); or 1 or 3% (v/w) palm oil (PO-low and PO-high, respectively) for 11 weeks. Body weight gain, food intake, energy intake, blood glucose levels, and blood lipid profiles were determined. Samples from colon tissue were collected and the 16S rRNA genes were pyrosequenced to clarify GM analyses. The results showed that there were no differences in body weight and blood glucose levels. Food intake by the mice in the CO-L and CO-H groups was statistically significantly less when compared to that by the animals in the C group. However, neither CO treatment had a statistically significant effect on calorie intake when compared to the controls. The CO-H exhibited a significant increase in serum total cholesterol and low-density lipoprotein but showed a downward trend in triglyceride levels compared to the control. The GM analyses revealed that both CO treatments have no significant influence on bacterial diversity and relative abundance at the phylum level, whereas increases of Choa1 and abundance-based coverage estimator indexes, distinct β-diversity, and Proteobacteria abundance were observed in the PO-high group compared with the C group. Furthermore, the abundance of Azospirillum thiophilum and Romboutsia ilealis was significantly higher in the CO-L and CO-H groups which could be associated with energy metabolic activity. Thus, CO may be an alternative fat source for preserving host metabolism and gut flora.
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Affiliation(s)
- Kongphop Parunyakul
- Faculty of Science, Department of Zoology, Kasetsart University, Bangkok, Thailand
| | - Aphisara Chuchoiy
- Faculty of Science, Department of Zoology, Kasetsart University, Bangkok, Thailand
| | - Sasiporn Kooltueon
- Faculty of Science, Department of Zoology, Kasetsart University, Bangkok, Thailand
| | | | - Krittika Srisuksai
- Faculty of Science, Department of Zoology, Kasetsart University, Bangkok, Thailand
| | - Pitchaya Santativongchai
- Faculty of Veterinary Medicine, Bio-Veterinary Sciences (International Program), Kasetsart University, Bangkok, Thailand
| | - Urai Pongchairerk
- Faculty of Veterinary Medicine, Department of Anatomy, Kasetsart University, Bangkok, Thailand
| | - Phitsanu Tulayakul
- Faculty of Veterinary Medicine, Department of Veterinary Public Health, Kasetsart University, Nakhon Pathom, Thailand
| | - Teerasak E-kobon
- Faculty of Science, Department of Genetics, Kasetsart University, Bangkok, Thailand
| | - Wirasak Fungfuang
- Faculty of Science, Department of Zoology, Kasetsart University, Bangkok, Thailand
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Tormási J, Abrankó L. Impact of Grape Seed Powder and Black Tea Brew on Lipid Digestion-An In Vitro Co-Digestion Study with Real Foods. Nutrients 2023; 15:nu15102395. [PMID: 37242278 DOI: 10.3390/nu15102395] [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: 05/04/2023] [Revised: 05/13/2023] [Accepted: 05/17/2023] [Indexed: 05/28/2023] Open
Abstract
Effects of two foods with bioactive constituents (black tea brew, BTB and grape seed powder, GSP) on lipid digestibility was studied. Lipolysis inhibitory effect of these foods was examined using two test foods (cream and baked beef) with highly different fatty acid (FA) composition. Digestion simulations were performed either using both gastric and pancreatic lipase, or only with pancreatic lipase according to the Infogest protocol. Lipid digestibility was assessed based on the bioaccessible FAs. Results showed the triacylglycerols containing short- and medium-chain FAs (SCFA and MCFA) are non-preferred substrates for pancreatic lipase; however, this is not characteristic for GL. Our findings suggest that both GSP and BTB primarily affect the lipolysis of SCFAs and MCFAs, because the dispreference of pancreatic lipase towards these substrates was further enhanced as a result of co-digestion. Interestingly, GSP and BTB similarly resulted in significant decrease in lipolysis for cream (containing milk fat having a diverse FA profile), whereas they were ineffective in influencing the digestion of beef fat, having simpler FA profile. It highlights that the characteristics of the dietary fat source of a meal can be a key determinant on the observed extent of lipolysis when co-digested with foods with bioactive constituents.
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Affiliation(s)
- Judit Tormási
- Department of Food Chemistry and Analytical Chemistry, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), Villányi Street 29-43, 1118 Budapest, Hungary
| | - László Abrankó
- Department of Food Chemistry and Analytical Chemistry, Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences (MATE), Villányi Street 29-43, 1118 Budapest, Hungary
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11
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Hosseini-Esfahani F, Kazemi-Aliakbar M, Koochakpoor G, Barzin M, Khalaj A, Valizadeh M, Mirmiran P. Diet quality and anthropometric indices of patients undergone bariatric surgery: the prospective Tehran obesity treatment study. BMC Surg 2023; 23:125. [PMID: 37173656 PMCID: PMC10182666 DOI: 10.1186/s12893-023-02032-4] [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: 03/07/2023] [Accepted: 05/07/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND Patients undergone bariatric surgery (BS) has long-term risks including decrease in diet quality, nutritional deficiencies and weight regain. This study focus on assessing dietary quality and food group components in patients one year after BS, the relationship between dietary quality score and anthropometric indices, and also evaluating the trend of body mass index (BMI) of these patients three years after BS. METHODS A total of 160 obese patients (BMI ≥ 35 kg/m2) were undergone sleeve gastrectomy (SG) (n = 108) or gastric bypass (GB) (n = 52), participated in this study. They were assessed for dietary intakes using three 24-hour dietary recalls one year after surgery. Dietary quality was assessed using food pyramid for post BS patients and healthy eating index (HEI). Anthropometric measurements were taken pre-surgery and 1, 2 and 3 years after operation. RESULTS The mean age of patients was 39.9 ± 11 years (79% female). The mean ± SD percentage of excess weight loss was 76.6 ± 21.0 one year after surgery. Intake patterns are generally (up to 60%) not consistent with the food pyramid. The mean total HEI score was 64 ± 12 out of 100. More than %60 of participants is exceeding the recommendations for saturated fat and sodium. The HEI score did not show significant relationship with anthropometric indices. The mean of BMI in SG group increased over three years of follow up, while in GB group, there were no significant differences in BMI during three years of follow up. CONCLUSIONS These findings showed that patients had not healthy pattern intake one year after BS. Diet quality did not show significant relationship with anthropometric indices. The trend of BMI three years after surgery was different based on surgery types.
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Affiliation(s)
- Firoozeh Hosseini-Esfahani
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mona Kazemi-Aliakbar
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Maryam Barzin
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Alireza Khalaj
- Department of Surgery, Faculty of Medicine, Tehran Obesity Treatment Center, Shahed University, Tehran, Iran
| | - Majid Valizadeh
- Obesity 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
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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12
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Yiannakou I, Yuan M, Zhou X, Singer MR, Moore LL. Dietary fat intakes, lipid profiles, adiposity, inflammation, and glucose in women and men in the Framingham Offspring Cohort. Front Physiol 2023; 14:1144200. [PMID: 37234415 PMCID: PMC10206522 DOI: 10.3389/fphys.2023.1144200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 04/17/2023] [Indexed: 05/28/2023] Open
Abstract
Introduction: The role of dietary fat in the evolution of cardiometabolic disorders is highly controversial. As both dietary intake and the development of cardiometabolic risk differ by sex, we evaluated sex-specific differences in the associations between dietary fats (saturated and unsaturated) and four key cardiometabolic risk factors-lipid profiles, body fat, inflammation, and glucose regulation. Methods: We included 2391 women and men aged ≥30 years in the prospective Framingham Offspring Cohort. Weight-adjusted dietary fats (saturated, monounsaturated, and polyunsaturated fats, including omega-3 and omega-6) were derived from 3-day dietary records. Analysis of covariance was used to derive adjusted mean levels of all outcomes. Results: In both men and women, intakes of saturated and monounsaturated fats were inversely associated with TG:HDL ratio (p < 0.02 for both types of fat). In women, higher omega-3 and omega-6 PUFAs were also inversely associated with TG:HDL (p < 0.05 for both), but for men, only omega-3 PUFAs were associated (p = 0.026). All types of dietary fat were beneficially associated with larger HDL particle sizes in both men and women, while only saturated and monounsaturated fats were associated with larger LDL particles in men. In addition, saturated and monounsaturated fats were associated with statistically significantly higher concentrations of HDL and lower concentrations of LDL and VLDL particles in both sexes, while polyunsaturated fat had favorable associations in women only. Saturated fat also had beneficial associations with three measures of body fat. For example, women with the highest (vs. lowest) saturated fat intake had a lower BMI (27.7 ± 0.25 vs. 26.2 ± 0.36 kg/m2, p = 0.001); findings were similar in men (28.2 ± 0.25 vs. 27.1 ± 0.20, p = 0.002). Unsaturated fats had beneficial associations with body fat primarily in women. Finally, omega-3 PUFAs among women were inversely associated with interleukin-6 levels. There was no association between dietary fat intake and fasting glucose levels in either women or men. Discussion: In sum, we found no evidence of an adverse association between dietary fats and several surrogate markers of cardiometabolic health. This study suggests that different dietary fats may have divergent associations with cardiometabolic risk in women and men, perhaps owing to differences in food sources of the same dietary fats.
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Affiliation(s)
- Ioanna Yiannakou
- Preventive Medicine and Epidemiology, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States
- Doctoral Program in Biomedical Sciences, Nutrition and Metabolism, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States
| | - Mengjie Yuan
- Preventive Medicine and Epidemiology, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States
| | - Xinyi Zhou
- Preventive Medicine and Epidemiology, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States
| | - Martha R. Singer
- Preventive Medicine and Epidemiology, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States
| | - Lynn L. Moore
- Preventive Medicine and Epidemiology, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, United States
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13
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Kwak J, Shin D. Gene-Nutrient Interactions in Obesity: COBLL1 Genetic Variants Interact with Dietary Fat Intake to Modulate the Incidence of Obesity. Int J Mol Sci 2023; 24:ijms24043758. [PMID: 36835164 PMCID: PMC9959357 DOI: 10.3390/ijms24043758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/26/2023] [Accepted: 02/02/2023] [Indexed: 02/16/2023] Open
Abstract
The COBLL1 gene is associated with leptin, a hormone important for appetite and weight maintenance. Dietary fat is a significant factor in obesity. This study aimed to determine the association between COBLL1 gene, dietary fat, and incidence of obesity. Data from the Korean Genome and Epidemiology Study were used, and 3055 Korean adults aged ≥ 40 years were included. Obesity was defined as a body mass index ≥ 25 kg/m2. Patients with obesity at baseline were excluded. The effects of the COBLL1 rs6717858 genotypes and dietary fat on incidence of obesity were evaluated using multivariable Cox proportional hazard models. During an average follow-up period of 9.2 years, 627 obesity cases were documented. In men, the hazard ratio (HR) for obesity was higher in CT, CC carriers (minor allele carriers) in the highest tertile of dietary fat intake than for men with TT carriers in the lowest tertile of dietary fat intake (Model 1: HR: 1.66, 95% confidence interval [CI]: 1.07-2.58; Model 2: HR: 1.63, 95% CI: 1.04-2.56). In women, the HR for obesity was higher in TT carriers in the highest tertile of dietary fat intake than for women with TT carriers in the lowest tertile of dietary fat intake (Model 1: HR: 1.49, 95% CI: 1.08-2.06; Model 2: HR: 1.53, 95% CI: 1.10-2.13). COBLL1 genetic variants and dietary fat intake had different sex-dependent effects in obesity. These results imply that a low-fat diet may protect against the effects of COBLL1 genetic variants on future obesity risk.
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Tagkou NM, Goossens N. Stéatose hépatique non alcoolique : diagnostic et traitement en 2022. SCHWEIZER GASTROENTEROLOGIE 2023; 4:27-37. [PMCID: PMC9990575 DOI: 10.1007/s43472-023-00091-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/02/2023] [Indexed: 08/30/2023]
Abstract
La NAFLD (Non Alcoholic Fatty Liver Disease ) est la manifestation hépatique d’un trouble métabolique multisystémique. Elle est la principale cause de maladie hépatique au niveau mondial, avec une prévalence croissante. Bien qu’il s’agisse principalement d’une maladie silencieuse à évolution lente, certains patients présentent un risque élevé de progression de la maladie et d’issues plus graves telles que la cirrhose, le carcinome hépatocellulaire et la transplantation hépatique. Malgré les multiples études menées et les nombreux essais cliniques en cours, il n’existe pas de médicaments approuvés pour la NAFLD/NASH (Non Alcoholic Steato-Hepatitis ), et le traitement doit donc se fonder sur des stratégies de modification du mode de vie. Cette revue explorera la définition et l’épidémiologie courantes de la NAFLD et de la NASH ainsi que les facteurs de risque et les conséquences de la maladie, tout en résumant les recommandations existantes pour le diagnostic, la stratification du risque et la prise en charge de la maladie.
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Affiliation(s)
- Nikoletta Maria Tagkou
- Service de Gastroentérologie et d’Hépatologie, Hôpitaux Universitaires de Genève (HUG), Rue Gabrielle-Perret-Gentil 4, 1211 Genève 14, Suisse
| | - Nicolas Goossens
- Service de Gastroentérologie et d’Hépatologie, Hôpitaux Universitaires de Genève (HUG), Rue Gabrielle-Perret-Gentil 4, 1211 Genève 14, Suisse
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15
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Márquez-Ruiz G, Velasco J, Holgado F. Major dietary lipids in nutrition and health. ADVANCES IN FOOD AND NUTRITION RESEARCH 2023. [PMID: 37516462 DOI: 10.1016/bs.afnr.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
In this chapter, an overview of the major lipids in the diet with emphasis in nutritional aspects is provided. Triacylglycerols, i.e., glycerol esterified with three fatty acids, are the predominant constituents in dietary lipids. Therefore, this chapter focuses on the nature and nutritional significance of the main fatty acids in the diet and their possible modifications during food processing and commercialization. The main fatty acids in dietary lipids are grouped into saturated, monounsaturated and polyunsaturated fatty acids. Nutritional implications, the latest intervention trials and health recommendations will be discussed. A brief description of the major sources of lipids in the diet is included, oils and fats standing out. Other food sources shortly commented are milk and dairy products, meat, poultry and eggs, fish, and structured lipids designed to improve functional and nutritional properties. Modifications of fatty acids as a result of processing and commercialization are discussed because of their great relevance for their health implications, especially oxidation compounds and trans fatty acids.
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16
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Fat Quality Impacts the Effect of a High-Fat Diet on the Fatty Acid Profile, Life History Traits and Gene Expression in Drosophila melanogaster. Cells 2022; 11:cells11244043. [PMID: 36552807 PMCID: PMC9776686 DOI: 10.3390/cells11244043] [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: 11/15/2022] [Revised: 12/08/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022] Open
Abstract
Feeding a high-fat diet (HFD) has been shown to alter phenotypic and metabolic parameters in Drosophila melanogaster. However, the impact of fat quantity and quality remains uncertain. We first used butterfat (BF) as an example to investigate the effects of increasing dietary fat content (3-12%) on male and female fruit flies. Although body weight and body composition were not altered by any BF concentration, health parameters, such as lifespan, fecundity and larval development, were negatively affected in a dose-dependent manner. When fruit flies were fed various 12% HFDs (BF, sunflower oil, olive oil, linseed oil, fish oil), their fatty acid profiles shifted according to the dietary fat qualities. Moreover, fat quality was found to determine the effect size of the response to an HFD for traits, such as lifespan, climbing activity, or fertility. Consistently, we also found a highly fat quality-specific transcriptional response to three exemplary HFD qualities with a small overlap of only 30 differentially expressed genes associated with the immune/stress response and fatty acid metabolism. In conclusion, our data indicate that not only the fat content but also the fat quality is a crucial factor in terms of life-history traits when applying an HFD in D. melanogaster.
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17
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Duarte AC, Spiazzi BF, Zingano CP, Merello EN, Wayerbacher LF, Teixeira PP, Farenzena LP, de Araujo C, Amazarray CR, Colpani V, Gerchman F. The effects of coconut oil on the cardiometabolic profile: a systematic review and meta-analysis of randomized clinical trials. Lipids Health Dis 2022; 21:83. [PMID: 36045407 PMCID: PMC9429773 DOI: 10.1186/s12944-022-01685-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 07/31/2022] [Indexed: 11/23/2022] Open
Abstract
Background Despite having a 92% concentration of saturated fatty acid composition, leading to an apparently unfavorable lipid profile, body weight and glycemic effect, coconut oil is consumed worldwide. Thus, we conducted an updated systematic review and meta-analysis of randomized clinical trials (RCTs) to analyze the effect of coconut oil intake on different cardiometabolic outcomes. Methods We searched Medline, Embase, and LILACS for RCTs conducted prior to April 2022. We included RCTs that compared effects of coconut oil intake with other substances on anthropometric and metabolic profiles in adults published in all languages, and excluded non-randomized trials and short follow-up studies. Risk of bias was assessed with the RoB 2 tool and certainty of evidence with GRADE. Where possible, we performed meta-analyses using a random-effects model. Results We included seven studies in the meta-analysis (n = 515; 50% females, follow up from 4 weeks to 2 years). The amount of coconut oil consumed varied and is expressed differently among studies: 12 to 30 ml of coconut oil/day (n = 5), as part of the amount of SFAs or total daily consumed fat (n = 1), a variation of 6 to 54.4 g/day (n = 5), or as part of the total caloric energy intake (15 to 21%) (n = 6). Coconut oil intake did not significantly decrease body weight (MD -0.24 kg, 95% CI -0.83 kg to 0.34 kg), waist circumference (MD -0.64 cm, 95% CI -1.69 cm to 0.41 cm), and % body fat (-0.10%, 95% CI -0.56% to 0.36%), low-density lipoprotein cholesterol (LDL-C) (MD -1.67 mg/dL, 95% CI -6.93 to 3.59 mg/dL), and triglyceride (TG) levels (MD -0.24 mg/dL, 95% CI -5.52 to 5.04 mg/dL). However, coconut oil intake was associated with a small increase in high-density lipoprotein cholesterol (HDL-C) (MD 3.28 mg/dL, 95% CI 0.66 to 5.90 mg/dL). Overall risk of bias was high, and certainty of evidence was very-low. Study limitations include the heterogeneity of intervention methods, in addition to small samples and short follow-ups, which undermine the effects of dietary intervention in metabolic parameters. Conclusions Coconut oil intake revealed no clinically relevant improvement in lipid profile and body composition compared to other oils/fats. Strategies to advise the public on the consumption of other oils, not coconut oil, due to proven cardiometabolic benefits should be implemented. Registration PROSPERO CRD42018081461. Supplementary Information The online version contains supplementary material available at 10.1186/s12944-022-01685-z.
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Affiliation(s)
- Ana Cláudia Duarte
- Post-Graduate Program in Medical Sciences: Endocrinology, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Bernardo Frison Spiazzi
- Post-Graduate Program in Medical Sciences: Endocrinology, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil.,Faculdade de Medicina, Departamento de Medicina Interna, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Carolina Pires Zingano
- Faculdade de Medicina, Departamento de Medicina Interna, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil.,Division of Endocrinology and Metabolism, Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil
| | - Eduarda Nunes Merello
- Faculdade de Medicina, Departamento de Medicina Interna, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Laura Fink Wayerbacher
- Faculdade de Medicina, Departamento de Medicina Interna, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Paula Portal Teixeira
- Post-Graduate Program in Medical Sciences: Endocrinology, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Laura Penso Farenzena
- Faculdade de Medicina, Departamento de Medicina Interna, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Carina de Araujo
- Post-Graduate Program in Medical Sciences: Endocrinology, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Carmen Raya Amazarray
- Post-Graduate Program in Medical Sciences: Endocrinology, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Verônica Colpani
- Post-Graduate Program in Medical Sciences: Endocrinology, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil.,Research Projects Office, Hospital Moinhos de Vento, Porto Alegre, Brazil
| | - Fernando Gerchman
- Post-Graduate Program in Medical Sciences: Endocrinology, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil. .,Faculdade de Medicina, Departamento de Medicina Interna, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil. .,Division of Endocrinology and Metabolism, Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil. .,Division of Endocrinology and Metabolism, Hospital Moinhos de Vento, Porto Alegre, Brazil.
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Association between Long-Term Changes in Dietary Percentage of Energy from Fat and Obesity: Evidence from over 20 Years of Longitudinal Data. Nutrients 2022; 14:nu14163373. [PMID: 36014882 PMCID: PMC9414001 DOI: 10.3390/nu14163373] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/10/2022] [Accepted: 08/11/2022] [Indexed: 11/23/2022] Open
Abstract
Objectives: This study assessed the associations between long-term trajectories of percentage of energy from fat (PEF) and obesity among Chinese adults. Methods: Longitudinal data collected by the China Health and Nutrition Survey from 1991 to 2015 were analyzed. A body mass index ≥28.0 was defined as general obesity. Participants’ baseline PEF levels were categorized as lower than the recommendation of the Chinese Dietary Guideline (<20%), meeting the recommendation (20−30%), and higher than the recommendation (>30%). Patterns of PEF trajectories were identified by latent class trajectory analysis for overall participants and participants in different baseline PEF groups, respectively. Cox proportional hazards regression models with shared frailty were used to estimate associations between PEF and obesity. Results: Data on 13,025 participants with 72,191 visits were analyzed. Four patterns of PEF trajectory were identified for overall participants and participants in three different baseline PEF groups, respectively. Among overall participants, compared with “Baseline Low then Increase Pattern” (from 12% to 20%), participants with “Baseline Normal-Low then Increase-to-High Pattern” (from 20% to 32%) had a higher hazard of obesity (hazard ratio (HR) and 95% confident interval (CI) at 1.18 (1.01−1.37)). Compared with the “Stable Pattern” group (stable at around 18% and 22%, respectively), participants with “Sudden-Increase Pattern” (from 18% to 30%) in the baseline group whose PEF levels were lower than the recommendation and those with “Sudden-Increase then Decrease Pattern” (rapidly increased from 25% to 40%, and then decreased) in the baseline group who met the recommendation had higher hazards of obesity (HRs and 95% CIs being 1.65 (1.13−2.41) and 1.59 (1.03−2.46), respectively). Conclusions: Adults with a trajectory that involved a sudden increase to a high-level PEF had a higher risk of general obesity. People should avoid increasing PEF suddenly.
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González-Rámila S, Mateos R, García-Cordero J, Seguido MA, Bravo-Clemente L, Sarriá B. Olive Pomace Oil versus High Oleic Sunflower Oil and Sunflower Oil: A Comparative Study in Healthy and Cardiovascular Risk Humans. Foods 2022; 11:foods11152186. [PMID: 35892771 PMCID: PMC9331821 DOI: 10.3390/foods11152186] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 07/18/2022] [Accepted: 07/19/2022] [Indexed: 12/10/2022] Open
Abstract
Olive pomace oil (OPO) is mainly a source of monounsaturated fat together with a wide variety of bioactive compounds, such as triterpenic acids and dialcohols, squalene, tocopherols, sterols and aliphatic fatty alcohols. To date, two long-term intervention studies have evaluated OPO’s health effects in comparison with high oleic sunflower oil (HOSO, study-1) and sunflower oil (SO, study-2) in healthy and cardiovascular risk subjects. The present study integrates the health effects observed with the three oils. Two randomized, blinded, cross-over controlled clinical trials were carried out in 65 normocholesterolemic and 67 moderately hypercholesterolemic subjects. Each study lasted fourteen weeks, with two four-week intervention phases (OPO versus HOSO or SO), each preceded by a three-week run-in or washout period. Regular OPO consumption reduced total cholesterol (p = 0.017) and LDL cholesterol (p = 0.018) levels as well as waist circumference (p = 0.026), and only within the healthy group did malondialdehyde (p = 0.004) levels decrease after OPO intake versus HOSO. Contrarily, after the SO intervention, apolipoprotein (Apo) B (p < 0.001) and Apo B/Apo A ratio (p < 0.001) increased, and to a lower extent Apo B increased with OPO. There were no differences between the study groups. OPO intake may improve cardiometabolic risk, particularly through reducing cholesterol-related parameters and waist circumference in healthy and hypercholesterolemic subjects.
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Bays HE, Antoun J, Censani M, Bailony R, Alexander L. Obesity pillars roundtable: Obesity and individuals from the Mediterranean region and Middle East. OBESITY PILLARS 2022; 2:100013. [PMID: 37990716 PMCID: PMC10661985 DOI: 10.1016/j.obpill.2022.100013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 03/12/2022] [Accepted: 03/16/2022] [Indexed: 11/23/2023]
Abstract
Background The rates of obesity in Mediterranean and Middle East regions are increasing. This may be related to worsening physical inactivity, and gravitation away from more healthful nutrition. Methods This roundtable discussion includes 4 obesity specialists with experience in the clinical management of obesity. Included in this discussion are citations regarding obesity and populations from the Mediterranean and Middle East regions. Results Among the most studied nutritional dietary pattern having evidence-based data supporting improved cardiometabolic health is the Mediterranean Diet. Prospective studies such as the PREvención con DIeta MEDiterránea (PREDIMED) study support the cardiometabolic benefits of dietary consumption of plant-based, higher fiber foods having a relatively high proportion of unsaturated fats. Cuisine from the Middle East has both similarities and some differences compared to the Mediterranean Diet. Interim analyses of the PREDIMED-Plus study suggest the Mediterranean Diet plus caloric restriction and physical activity intervention reduces body weight and improves cardiometabolic risk factors. As with any dietary intake, Mediterranean and Middle Eastern food choices and preparation affect their nutritional healthfulness. Conclusion The panelists of this roundtable discussion describe their practical diagnostic processes and treatment plans for patients with obesity from the Mediterranean Region and Middle East.
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Affiliation(s)
- Harold Edward Bays
- Diplomate of American Board of Obesity Medicine, Medical Director / President Louisville Metabolic and Atherosclerosis Research Center, Clinical Associate Professor / University of Louisville Medical School, 3288 Illinois Avenue, Louisville, KY, 40213, USA
| | | | - Marisa Censani
- Diplomate of American Board of Obesity Medicine, Associate Professor of Clinical Pediatrics, New York Presbyterian Hospital, Weill Cornell Medicine, 525 East 68th Street, Box 103, New York, NY, 10021, USA
| | - Rami Bailony
- Enara Health, 3050 S Delaware St, Ste 130, San Mateo, CA, 94402, USA
| | - Lydia Alexander
- Enara Health, 3050 S Delaware St, Ste 130, San Mateo, CA, 94402, USA
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Ren X, Larsen SC, Lauritzen L, Olsen NJ, Rohde JF, Specht IO, Heitmann BL. Association between intake of marine fat and adiposity development among 2-6 year old children: Substitution analyses from the Healthy Start intervention study. Nutrition 2022; 103-104:111775. [DOI: 10.1016/j.nut.2022.111775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 06/03/2022] [Accepted: 06/06/2022] [Indexed: 10/31/2022]
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22
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Thomas DB, Leak TM. Healthy Eating Index Scores, Body Mass Index and Abdominal Obesity Among Asian Americans: NHANES 2011-2018. FRONTIERS IN EPIDEMIOLOGY 2022; 2:879264. [PMID: 38455322 PMCID: PMC10910918 DOI: 10.3389/fepid.2022.879264] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 04/11/2022] [Indexed: 03/09/2024]
Abstract
Objective Obesity rates are increasing among Asian Americans so, the objective of this study was to examine associations between Healthy Eating Index scores (a measure of adherence to the Dietary Guidelines for Americans (DGAs)) and body mass index (BMI) and waist circumference (measure of abdominal obesity) among Asian American adults. Methods Included in these analyses were Asian Americans ≥20 years from the National Health and Nutrition Examination Survey (2011-18) who had: (1) two 24 h diet recalls to calculate HEI and HEI subcomponent scores, (2) height and weight data to calculate BMI overweight ≥25 kg/m2 and obese ≥ 30kg/m (2), and (3) waist circumference data (high risk ≥ 80 cm for women and ≥ 90 cm for men; n = 1024 women and n = 904 men). Multinomial logistic regression models were run with BMI as the outcome and logistic regression models were run with waist circumference as the outcome, controlling for age, income, marital status, education, and physical activity. Results Among women, a diet with greater adherence to the DGAs for total fruit, fatty acids and total protein was associated with lower likelihood of developing obesity, but a diet with greater adherence to the DGAs in terms of whole grains and sodium (i.e., lower sodium intake) was associated with a higher likelihood of obesity. Among men, greater adherence to the DGAs for fatty acids was associated with a lower likelihood of obesity but greater adherence to the DGAs in terms of whole grains and sodium (i.e., lower sodium intake) was associated with a greater likelihood of obesity. Conclusions Future research is needed to examine associations between consumption of specific foods and beverages and how they are associated with BMI and waist circumference among Asian American adults. Furthermore, there is a need culturally relevant obesity prevention interventions for Asian American adults, especially interventions that take into consideration cultural food norms of specific Asian American subgroups.
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Affiliation(s)
| | - Tashara M. Leak
- Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States
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23
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Claro-Cala CM, Jiménez-Altayó F, Zagmutt S, Rodriguez-Rodriguez R. Molecular Mechanisms Underlying the Effects of Olive Oil Triterpenic Acids in Obesity and Related Diseases. Nutrients 2022; 14:nu14081606. [PMID: 35458168 PMCID: PMC9024864 DOI: 10.3390/nu14081606] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/07/2022] [Accepted: 04/11/2022] [Indexed: 12/16/2022] Open
Abstract
Dietary components exert protective effects against obesity and related metabolic and cardiovascular disturbances by interfering with the molecular pathways leading to these pathologies. Dietary biomolecules are currently promising strategies to help in the management of obesity and metabolic syndrome, which are still unmet medical issues. Olive oil, a key component of the Mediterranean diet, provides an exceptional lipid matrix highly rich in bioactive molecules. Among them, the pentacyclic triterpenic acids (i.e., oleanolic acid) have gained clinical relevance in the last decade due to their wide range of biological actions, particularly in terms of vascular function, obesity and insulin resistance. Considering the promising effects of these triterpenic compounds as nutraceuticals and components of functional foods against obesity and associated complications, the aim of our review is to decipher and discuss the main molecular mechanisms underlying these effects driven by olive oil triterpenes, in particular by oleanolic acid. Special attention is paid to their signaling and targets related to glucose and insulin homeostasis, lipid metabolism, adiposity and cardiovascular dysfunction in obesity. Our study is aimed at providing a better understanding of the impact of dietary components of olive oil in the long-term management of obesity and metabolic syndrome in humans.
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Affiliation(s)
- Carmen M. Claro-Cala
- Departament of Pharmacology, Pediatríc y Radiology, Faculty of Medicine, University of Seville, 41009 Seville, Spain;
| | - Francesc Jiménez-Altayó
- Departament de Farmacologia, de Terapèutica i de Toxicologia, Facultat de Medicina, Institut de Neurociències, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain;
| | - Sebastián Zagmutt
- Basic Sciences Department, Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya, 08195 Sant Cugat del Valles, Spain;
| | - Rosalia Rodriguez-Rodriguez
- Basic Sciences Department, Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya, 08195 Sant Cugat del Valles, Spain;
- Correspondence: ; Tel.: +34-935-042-002
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24
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Thamrin SA, Arsyad DS, Kuswanto H, Lawi A, Arundhana AI. Obesity Risk-Factor Variation Based on Island Clusters: A Secondary Analysis of Indonesian Basic Health Research 2018. Nutrients 2022; 14:nu14050971. [PMID: 35267946 PMCID: PMC8912714 DOI: 10.3390/nu14050971] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/21/2022] [Accepted: 02/22/2022] [Indexed: 02/01/2023] Open
Abstract
Obesity has become a rising global health problem affecting quality of life for adults. The objective of this study is to describe the prevalence of obesity in Indonesian adults based on the cluster of islands. The study also aims to identify the risk factors of obesity in each island cluster. This study analyzes the secondary data of Indonesian Basic Health Research 2018. Data for this analysis comprised 618,910 adults (≥18 years) randomly selected, proportionate to the population size throughout Indonesia. We included 20 variables for the socio-demographic and obesity-related risk factors for analysis. The obesity status was defined using Body Mass Index (BMI) ≥ 25 kg/m2. Our current study defines 7 major island clusters as the unit analysis consisting of 34 provinces in Indonesia. Descriptive analysis was conducted to determine the characteristics of the population and to calculate the prevalence of obesity within the provinces in each of the island clusters. Multivariate logistic regression analyses to calculate the odds ratios (ORs) was performed using SPSS version 27. The study results show that all the island clusters have at least one province with an obesity prevalence above the national prevalence (35.4%). Six out of twenty variables, comprising four dietary factors (the consumption of sweet food, high-salt food, meat, and carbonated drinks) and one psychological factor (mental health disorders), varied across the island clusters. In conclusion, there was a variation of obesity prevalence of the provinces within and between island clusters. The variation of risk factors found in each island cluster suggests that a government rethink of the current intervention strategies to address obesity is recommended.
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Affiliation(s)
- Sri Astuti Thamrin
- Department of Statistics, Faculty of Mathematics and Natural Science, Universitas Hasanuddin, Makassar 90245, Indonesia;
- Correspondence: ; Tel./Fax: +62-(411)-588-551
| | - Dian Sidik Arsyad
- Department of Epidemiology, Faculty of Public Health, Universitas Hasanuddin, Makassar 90245, Indonesia;
- Department of Cardiology, Division of Heart and Lungs, University Medical Centre Utrecht, University of Utrecht, 3584CS Utrecht, The Netherlands
| | - Hedi Kuswanto
- Department of Statistics, Faculty of Mathematics and Natural Science, Universitas Hasanuddin, Makassar 90245, Indonesia;
| | - Armin Lawi
- Department of Mathematics, Faculty of Mathematics and Natural Science, Universitas Hasanuddin, Makassar 90245, Indonesia;
| | - Andi Imam Arundhana
- Department of Nutrition, Faculty of Public Health, Universitas Hasanuddin, Makassar 90245, Indonesia;
- Central Clinical School, Faculty of Medicine and Health Science, The University of Sydney, Sydney 2050, Australia
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25
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Animal-based food choice and associations with long-term weight maintenance and metabolic health after a large and rapid weight loss: The PREVIEW study. Clin Nutr 2022; 41:817-828. [DOI: 10.1016/j.clnu.2022.02.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/21/2022] [Accepted: 02/01/2022] [Indexed: 02/06/2023]
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26
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Intake of n-3 LCPUFA and trans-fatty acids is unrelated to development in body mass index and body fat among children. BMC Nutr 2022; 8:1. [PMID: 34980278 PMCID: PMC8722340 DOI: 10.1186/s40795-021-00493-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 12/16/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The number of children and adolescents with obesity has increased worldwide. Some studies have found an increase in the intake of n-3 long-chain polyunsaturated fatty acid (LCPUFA) to be beneficial for weight and obesity status. The objectives of this study were to examine if intake of trans-fatty acids (TFA) and n-3 LCPUFA at school start was associated with weight and body fat development in the following 3 and 7 years, and if substituting other fats for n-3 LCPUFA in regression models influenced weight and body fat development. METHODS A total of 285 children (boys:130, girls:155) were included in this study. Weight, height and skinfold thickness (SF) of children were measured at age 6, 9 and 13 years by trained research personnel. Multivariate linear regression models were used to investigate the associations between n-3 LCPUFA or TFA intake and subsequent changes in body mass index (BMI) or SF. To investigate substitution effects, we constructed regression models including information on n-3 LCPUFA and all other energy given components of the diet, except for the nutrient to be substituted (all other fats and specific subgroups; saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs) and other polyunsaturated fatty acids (PUFAs)). RESULTS No significant associations were observed between intake of TFA or n-3 LCPUFA and changes in BMI and SF. Also, results from regression analysis showed substituting other fats for n-3 LCPUFA did not associate with BMI or SF development. CONCLUSION The lack of associations between n-3 LCPUFA and TFA and adiposity suggests that fat composition in the diet does not play a major role in obesity development among school-aged children.
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27
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The Comparison of the Effects between Continuous and Intermittent Energy Restriction in Short-Term Bodyweight Loss for Sedentary Population: A Randomized, Double-Blind, Controlled Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111645. [PMID: 34770157 PMCID: PMC8583133 DOI: 10.3390/ijerph182111645] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 10/27/2021] [Accepted: 11/03/2021] [Indexed: 11/17/2022]
Abstract
Objective: To compare the effects of continuous energy restriction (CER) and intermittent energy restriction (IER) in bodyweight loss plan in sedentary individuals with normal bodyweight and explore the influence factors of effect and individual retention. Methods: 26 participants were recruited in this randomized controlled and double-blinded trial and allocated to CER and IER groups. Bodyweight (BW), body mass index (BMI), and resting metabolic rate (RMR) would be collected before and after a 4-week (28 days) plan which included energy restriction (CER or IER) and moderate-intensity exercise. Daily intake of three major nutrients (protein, carbohydrate, fat) and calories were recorded. Results: A significant decrease in BW and BMI were reported within each group. No statistically significant difference in the change of RMR in CERG. No statistically significant difference was reported in the effect between groups, neither as well the intake of total calories, three major nutrients, and individual plan retention. The influence factors of IER and CER are different. Conclusion: Both CER and IER are effective and safe energy restriction strategies in the short term. Daily energy intake and physical exercise are important to both IER and CER.
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28
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Brayner B, Kaur G, Keske MA, Perez-Cornago A, Piernas C, Livingstone KM. Dietary Patterns Characterized by Fat Type in Association with Obesity and Type 2 Diabetes: A Longitudinal Study of UK Biobank Participants. J Nutr 2021; 151:3570-3578. [PMID: 34522964 DOI: 10.1093/jn/nxab275] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 06/30/2021] [Accepted: 07/27/2021] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND The fat type consumed is considered a risk factor for developing obesity and type 2 diabetes (T2D). However, these associations have not been investigated using a dietary patterns approach, which can capture combinations of foods and fat type consumed. OBJECTIVES This study aimed to investigate associations between dietary patterns with varying proportions of SFAs, MUFAs, or PUFAs and obesity, abdominal obesity, and self-reported T2D incidence. METHODS This study included UK Biobank participants with 2 or more 24-h dietary assessments, free from the outcome of interest at recruitment, and with outcome data at follow-up (n = 16,523; mean follow-up: 6.3 y). Reduced rank regression was used to derive dietary patterns with SFAs, MUFAs, and PUFAs (% of energy intake) as response variables. Logistic regression, adjusted for sociodemographic and health characteristics, was used to investigate the associations between dietary patterns and obesity [BMI (kg/m2) ≥30], abdominal obesity (waist circumference; men: ≥102 cm; women: ≥88 cm) and T2D incidence. RESULTS Two dietary patterns, DP1 and DP2, were identified: DP1 positively correlated with SFAs (r = 0.48), MUFAs (r = 0.67), and PUFAs (r = 0.56), characterized by higher intake of nuts, seeds, and butter and lower intake of fruit and low-fat yogurt; DP2 positively correlated with SFAs (r = 0.76) and negatively with PUFAs (r = -0.64) and MUFAs (r = -0.01), characterized by higher intake of butter and high-fat cheese and lower intake of nuts and seeds. Only DP2 was associated with higher obesity and abdominal obesity incidence (OR: 1.24; 95% CI: 1.02, 1.45; and OR: 1.19; 95% CI: 1.02, 1.38, respectively). Neither of the dietary patterns was associated with T2D incidence. CONCLUSIONS These findings provide evidence that a dietary pattern characterized by higher SFA and lower PUFA foods is associated with obesity and abdominal obesity incidence, but not T2D.
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Affiliation(s)
- Barbara Brayner
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Gunveen Kaur
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Michelle A Keske
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Carmen Piernas
- Nuffield Department of Primary Care Health Sciences, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Katherine M Livingstone
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
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29
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Semmler G, Datz C, Reiberger T, Trauner M. Diet and exercise in NAFLD/NASH: Beyond the obvious. Liver Int 2021; 41:2249-2268. [PMID: 34328248 PMCID: PMC9292198 DOI: 10.1111/liv.15024] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/06/2021] [Accepted: 07/10/2021] [Indexed: 12/12/2022]
Abstract
Lifestyle represents the most relevant factor for non-alcoholic fatty liver disease (NAFLD) as the hepatic manifestation of the metabolic syndrome. Although a tremendous body of clinical and preclinical data on the effectiveness of dietary and lifestyle interventions exist, the complexity of this topic makes firm and evidence-based clinical recommendations for nutrition and exercise in NAFLD difficult. The aim of this review is to guide readers through the labyrinth of recent scientific findings on diet and exercise in NAFLD and non-alcoholic steatohepatitis (NASH), summarizing "obvious" findings in a holistic manner and simultaneously highlighting stimulating aspects of clinical and translational research "beyond the obvious". Specifically, the importance of calorie restriction regardless of dietary composition and evidence from low-carbohydrate diets to target the incidence and severity of NAFLD are discussed. The aspect of ketogenesis-potentially achieved via intermittent calorie restriction-seems to be a central aspect of these diets warranting further investigation. Interactions of diet and exercise with the gut microbiota and the individual genetic background need to be comprehensively understood in order to develop personalized dietary concepts and exercise strategies for patients with NAFLD/NASH.
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Affiliation(s)
- Georg Semmler
- Division of Gastroenterology and HepatologyDepartment of Internal Medicine IIIMedical University of ViennaViennaAustria
| | - Christian Datz
- Department of Internal MedicineGeneral Hospital OberndorfTeaching Hospital of the Paracelsus Medical University SalzburgSalzburgAustria
| | - Thomas Reiberger
- Division of Gastroenterology and HepatologyDepartment of Internal Medicine IIIMedical University of ViennaViennaAustria
| | - Michael Trauner
- Division of Gastroenterology and HepatologyDepartment of Internal Medicine IIIMedical University of ViennaViennaAustria
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30
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Clemente G, Giorgini M, Della Pia N, Cerbara L, Liuzzi R, Cipriano P, Riccardi G, Vaccaro O. Effectiveness on major cardiovascular risk factors of an educational program to promote a Mediterranean type of diet among the employees of the company FCA Italia S.p.A. Diabetes Res Clin Pract 2021; 179:109009. [PMID: 34411623 DOI: 10.1016/j.diabres.2021.109009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 08/10/2021] [Accepted: 08/13/2021] [Indexed: 11/24/2022]
Abstract
AIMS The educational program implemented at the Pratola Serra (Avellino, Italy) facility of the company FCA (Fiat Chrysler Automobiles), had as its goal to raise awareness among people to adopt behaviors inspired by the principles of a Mediterranean diet, physical activity and prevention of the main cardiovascular risk factors. METHODS The educational program was implemented in two different ways in order to compare, according to an intervention-control scheme, the performance of the subgroups and the effect of the types of intervention. On both groups measurements of the vital parameters were carried out and compared by means of statistical probabilistic tests. RESULTS The educational intervention was shown to be effective in: encouraging healthy food choices both in the workplace and at home (with a statistically significant reduction in caloric intake, animal protein, saturated fatty acids, cholesterol and glycemic load and an increase in vegetable proteins), significantly increasing physical activity and reducing body weight, body mass index, waist circumference, total cholesterol, LDL cholesterol and blood glucose in the participants. CONCLUSIONS The educational campaign proved effective in increasing the well-being of the participants, confirming the effectiveness of a multifactorial intervention based on the promotion of a dietary model rather than individual foods.
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Affiliation(s)
- Gennaro Clemente
- IRPPS-Institute for Research on Population and Social Policies of the Italian National Research Council, Fisciano, Salerno, Italy.
| | - Marisa Giorgini
- IRPPS-Institute for Research on Population and Social Policies of the Italian National Research Council, Fisciano, Salerno, Italy
| | - Nila Della Pia
- IRPPS-Institute for Research on Population and Social Policies of the Italian National Research Council, Fisciano, Salerno, Italy
| | - Loredana Cerbara
- IRPPS-Institute for Research on Population and Social Policies of the Italian National Research Council, Fisciano, Salerno, Italy
| | - Raffaele Liuzzi
- IBB-Institute of Biostructure and Bioimaging, of the Italian National Research Council, Naples, Italy
| | - Paola Cipriano
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Gabriele Riccardi
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Olga Vaccaro
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
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31
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Domínguez-López I, Marhuenda-Muñoz M, Tresserra-Rimbau A, Hernáez Á, Moreno JJ, Martínez-González MÁ, Salas-Salvadó J, Corella D, Fitó M, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Bernal-Lopez MR, Lapetra J, Serra-Majem JL, Bueno-Cavanillas A, Tur JA, Martín-Sánchez V, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Serra-Mir M, Vázquez-Ruiz Z, Nishi SK, Sorli JV, Castañer O, Abete I, Luna JV, Carabaño-Moral R, Asencio A, Prohens L, Garcia-Rios A, Casas R, Gomez-Perez AM, Santos-Lozano JM, Razquin C, Martínez MÁ, Saiz C, Robledo-Pastor V, Zulet MA, Salaverria I, Eguaras S, Babio N, Malcampo M, Ros E, Estruch R, López-Sabater MC, Lamuela-Raventós RM. Fruit and Vegetable Consumption is Inversely Associated with Plasma Saturated Fatty Acids at Baseline in Predimed Plus Trial. Mol Nutr Food Res 2021; 65:e2100363. [PMID: 34273124 DOI: 10.1002/mnfr.202100363] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 05/31/2021] [Indexed: 12/27/2022]
Abstract
SCOPE Plasma fatty acids (FAs) are associated with the development of cardiovascular diseases and metabolic syndrome. The aim of our study is to assess the relationship between fruit and vegetable (F&V) consumption and plasma FAs and their subtypes. METHODS AND RESULTS Plasma FAs are assessed in a cross-sectional analysis of a subsample of 240 subjects from the PREDIMED-Plus study. Participants are categorized into four groups of fruit, vegetable, and fat intake according to the food frequency questionnaire. Plasma FA analysis is performed using gas chromatography. Associations between FAs and F&V consumption are adjusted for age, sex, physical activity, body mass index (BMI), total energy intake, and alcohol consumption. Plasma saturated FAs are lower in groups with high F&V consumption (-1.20 mg cL-1 [95% CI: [-2.22, -0.18], p-value = 0.021), especially when fat intake is high (-1.74 mg cL-1 [95% CI: [-3.41, -0.06], p-value = 0.042). Total FAs and n-6 polyunsaturated FAs tend to be lower in high consumers of F&V only in the high-fat intake groups. CONCLUSIONS F&V consumption is associated with lower plasma saturated FAs when fat intake is high. These findings suggest that F&V consumption may have different associations with plasma FAs depending on their subtype and on the extent of fat intake.
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Affiliation(s)
- Inés Domínguez-López
- Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences and XIA, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramenet, 08921, Spain
| | - María Marhuenda-Muñoz
- Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences and XIA, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramenet, 08921, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Anna Tresserra-Rimbau
- Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences and XIA, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramenet, 08921, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Álvaro Hernáez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.,Blanquerna School of Health Sciences, Universitat Ramon Llull, Barcelona, Spain
| | - Juan José Moreno
- Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences and XIA, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramenet, 08921, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, Spain.,Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - José Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Nutritional Control of the Epigenome Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain.,Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Nursing, Institute of Biomedical Research in Malaga (IBIMA), University of Málaga, Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.,Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - M Rosa Bernal-Lopez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Internal Medicine, Instituto de Investigación Biomédica de Malaga (IBIMA), Regional University Hospital of Malaga
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Research Institute of Biomedical and Health Sciences (IUIBS), Canarian Health Service, Las Palmas de Gran Canaria, University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Spain
| | - Aurora Bueno-Cavanillas
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL-UMH), Alicante, Spain.,Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, and IDISBA, Palma de Mallorca, Spain
| | - Vicente Martín-Sánchez
- Nutritional Control of the Epigenome Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.,Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Lipids and Vascular Risk Unit, Internal Medicine, Hospitalet de Llobregat, Hospital Universitario de Bellvitge, Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Nutritional Control of the Epigenome Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain.,Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.,Department of Endocrinology, Institut d'Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Mercè Serra-Mir
- Lipid Clinic, Endocrinology and Nutrition Service, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Zenaida Vázquez-Ruiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - Stephanie K Nishi
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, Spain.,Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jose V Sorli
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Nutritional Control of the Epigenome Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Jessica Vaquero Luna
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain.,Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Rosa Carabaño-Moral
- Distrito de Atención Primaria Costa del Sol, Servicio Andaluz de Salud, Unidad de Gestión Clínica Arroyo de la Miel, Benalmádena, Spain
| | - Alberto Asencio
- Centro Atención Primaria de Mutxamel de FISABIO, Alicante, Spain
| | - Lara Prohens
- Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Internal Medicine Department, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Ana Maria Gomez-Perez
- Department of Internal Medicine, Instituto de Investigación Biomédica de Malaga (IBIMA), Regional University Hospital of Malaga
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Cristina Razquin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain
| | - María Ángeles Martínez
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, Spain.,Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Carmen Saiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Vanesa Robledo-Pastor
- Atenció Primària Barcelona Ciutat, Institut Català de la Salut (ICS), Barcelona, Spain
| | - María Angeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Nutritional Control of the Epigenome Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Itziar Salaverria
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute, Vitoria-Gasteiz, Spain
| | - Sonia Eguaras
- Department of Preventive Medicine and Public Health, IDISNA, University of Navarra, Pamplona, Spain.,Primary Care Services, Servicio Navarro de Salud (Osasunbidea), Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, Reus, Spain.,Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain.,Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), Barcelona, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Lipid Clinic, Endocrinology and Nutrition Service, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Internal Medicine Department, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - M Carmen López-Sabater
- Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences and XIA, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramenet, 08921, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Rosa M Lamuela-Raventós
- Department of Nutrition, Food Science and Gastronomy, School of Pharmacy and Food Sciences and XIA, Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramenet, 08921, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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Sharma S. High fat diet and its effects on cognitive health: alterations of neuronal and vascular components of brain. Physiol Behav 2021; 240:113528. [PMID: 34260890 DOI: 10.1016/j.physbeh.2021.113528] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 07/03/2021] [Accepted: 07/06/2021] [Indexed: 01/01/2023]
Abstract
It has been well recognized that intake of diets rich in saturated fats could result in development of metabolic disorders such as type 2 diabetes mellitus, obesity and cardiovascular diseases. Recent studies have suggested that intake of high fat diet (HFD) is also associated with cognitive dysfunction. Various preclinical studies have demonstrated the impact of short and long term HFD feeding on the biochemical and behavioural alterations. This review summarizes studies and the protocols used to assess the impacts of HFD feeding on cognitive performance in rodents. Further, it discuss the key mechanisms that are altered by HFD feeding, such as, insulin resistance, oxidative stress, neuro-inflammation, transcriptional dysregulation and loss of synaptic plasticity. Along with these, HFD feeding also alters the vascular components of brain such as loss of BBB integrity and reduced cerebral blood flow. It is highly possible that these factors are responsible for the development of cognitive deficits as a result of HFD feeding.
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Affiliation(s)
- Sorabh Sharma
- Division of Medical Sciences, University of Victoria, PO Box 1700 STN CSC, Victoria, BC, V8W2Y2, Canada.
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33
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Yokose C, McCormick N, Choi HK. Dietary and Lifestyle-Centered Approach in Gout Care and Prevention. Curr Rheumatol Rep 2021; 23:51. [PMID: 34196878 PMCID: PMC9281000 DOI: 10.1007/s11926-021-01020-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/21/2021] [Indexed: 12/13/2022]
Abstract
PURPOSE OF REVIEW We aim to provide a comprehensive review of the available literature to inform dietary recommendations for patients with gout and hyperuricemia that have the potential to simultaneously lower serum urate and reduce gout morbidity while addressing gout's cardiometabolic comorbidities holistically. RECENT FINDINGS The global burden of gout is rising worldwide, particularly in developed nations as well as in women. Patients with gout are often recommended to follow a low-purine (i.e., low-protein) diet to avoid purine-loading. However, such an approach may lead to increased consumption of unhealthy carbohydrates and fats, which in turn contributes to metabolic syndrome and subsequently raises serum urate levels and leads to adverse cardiovascular outcomes. On the other hand, several well-established diets for cardiometabolic health, such as the Mediterranean and Dietary Approaches to Stop Hypertension (DASH) diets, in combination with weight loss for those who are overweight or obese, also have beneficial effects on relevant gout endpoints. It is important to recognize not only the direct effect of diet on hyperuricemia and gout, but its mediated effect through obesity and insulin resistance. Thus, several preeminent healthy dietary patterns that have proven benefits in cardiometabolic health have the power to holistically address not only gout morbidity but also its associated comorbidities that lead to premature mortality among patients with gout.
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Affiliation(s)
- Chio Yokose
- Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, 55 Fruit Street, Bulfinch 165, Boston, MA, 02114, USA.
- Clinical Epidemiology Program, Mongan Institute, Massachusetts General Hospital, 55 Fruit Street, Bulfinch 165, Boston, MA, 02114, USA.
| | - Natalie McCormick
- Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, 55 Fruit Street, Bulfinch 165, Boston, MA, 02114, USA
- Clinical Epidemiology Program, Mongan Institute, Massachusetts General Hospital, 55 Fruit Street, Bulfinch 165, Boston, MA, 02114, USA
- Arthritis Research Canada, Richmond, British Columbia, Canada
| | - Hyon K Choi
- Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, 55 Fruit Street, Bulfinch 165, Boston, MA, 02114, USA
- Clinical Epidemiology Program, Mongan Institute, Massachusetts General Hospital, 55 Fruit Street, Bulfinch 165, Boston, MA, 02114, USA
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34
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The Microbiota and the Gut-Brain Axis in Controlling Food Intake and Energy Homeostasis. Int J Mol Sci 2021; 22:ijms22115830. [PMID: 34072450 PMCID: PMC8198395 DOI: 10.3390/ijms22115830] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 05/21/2021] [Accepted: 05/26/2021] [Indexed: 12/12/2022] Open
Abstract
Obesity currently represents a major societal and health challenge worldwide. Its prevalence has reached epidemic proportions and trends continue to rise, reflecting the need for more effective preventive measures. Hypothalamic circuits that control energy homeostasis in response to food intake are interesting targets for body-weight management, for example, through interventions that reinforce the gut-to-brain nutrient signalling, whose malfunction contributes to obesity. Gut microbiota-diet interactions might interfere in nutrient sensing and signalling from the gut to the brain, where the information is processed to control energy homeostasis. This gut microbiota-brain crosstalk is mediated by metabolites, mainly short chain fatty acids, secondary bile acids or amino acids-derived metabolites and subcellular bacterial components. These activate gut-endocrine and/or neural-mediated pathways or pass to systemic circulation and then reach the brain. Feeding time and dietary composition are the main drivers of the gut microbiota structure and function. Therefore, aberrant feeding patterns or unhealthy diets might alter gut microbiota-diet interactions and modify nutrient availability and/or microbial ligands transmitting information from the gut to the brain in response to food intake, thus impairing energy homeostasis. Herein, we update the scientific evidence supporting that gut microbiota is a source of novel dietary and non-dietary biological products that may beneficially regulate gut-to-brain communication and, thus, improve metabolic health. Additionally, we evaluate how the feeding time and dietary composition modulate the gut microbiota and, thereby, the intraluminal availability of these biological products with potential effects on energy homeostasis. The review also identifies knowledge gaps and the advances required to clinically apply microbiome-based strategies to improve the gut-brain axis function and, thus, combat obesity.
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The Effect of Dietary Intake and Nutritional Status on Anthropometric Development and Systemic Inflammation: An Observational Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18115635. [PMID: 34070364 PMCID: PMC8197533 DOI: 10.3390/ijerph18115635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 05/19/2021] [Accepted: 05/24/2021] [Indexed: 11/21/2022]
Abstract
(1) Background: Daily caloric intake should aim to reduce the risk of obesity or poor anthropometric development. Our study objective was to analyze the association between food consumption, inflammatory status and anthropometric development; (2) Methods: We performed a prospective observational analytical research during September 2020 and April 2021 on a group of 160 healthy subjects, aged between 6 and 12 years old, by analyzing food ingestion, the basal metabolic rate, anthropometric development and the inflammatory status; (3) Results: IL-6 was significantly correlated to the sum of skinfolds, along with both serum proteins and triglycerides. The skin folds were significantly correlated with the caloric intake and with total fat intake, next to saturated and trans fats. Unlike the skin folds, the body weight was significantly correlated with the caloric intake along with some vitamins, such as Vitamin A and Vitamin B12. Inactive mass increased with excessive folic acid, Vitamin E, Vitamin K and saturated fat intake; (4) Conclusions: The inflammatory status was influenced by the ingestion of micronutrients, total serum lipids and proteins. The anthropometric development was associated with the ingestion of carbohydrates, energy balance and energy intake. We can conclude that daily menu and nutrition imbalances can influence both the risk of obesity and the inflammatory status.
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36
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Liput KP, Lepczyński A, Nawrocka A, Poławska E, Ogłuszka M, Jończy A, Grzybek W, Liput M, Szostak A, Urbański P, Roszczyk A, Pareek CS, Pierzchała M. Effects of Three-Month Administration of High-Saturated Fat Diet and High-Polyunsaturated Fat Diets with Different Linoleic Acid (LA, C18:2n-6) to α-Linolenic Acid (ALA, C18:3n-3) Ratio on the Mouse Liver Proteome. Nutrients 2021; 13:1678. [PMID: 34063343 PMCID: PMC8156955 DOI: 10.3390/nu13051678] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 05/12/2021] [Indexed: 12/13/2022] Open
Abstract
The aim of the study was to evaluate the effect of different types of high-fat diets (HFDs) on the proteomic profile of mouse liver. The analysis included four dietary groups of mice fed a standard diet (STD group), a high-fat diet rich in SFAs (SFA group), and high-fat diets dominated by PUFAs with linoleic acid (LA, C18:2n-6) to α-linolenic acid (ALA, C18:3n-3) ratios of 14:1 (14:1 group) and 5:1 (5:1 group). After three months of diets, liver proteins were resolved by two-dimensional gel electrophoresis (2DE) using 17 cm non-linear 3-10 pH gradient strips. Protein spots with different expression were identified by MALDI-TOF/TOF. The expression of 13 liver proteins was changed in the SFA group compared to the STD group (↓: ALB, APOA1, IVD, MAT1A, OAT and PHB; ↑: ALDH1L1, UniProtKB-Q91V76, GALK1, GPD1, HMGCS2, KHK and TKFC). Eleven proteins with altered expression were recorded in the 14:1 group compared to the SFA group (↓: ARG1, FTL1, GPD1, HGD, HMGCS2 and MAT1A; ↑: APOA1, CA3, GLO1, HDHD3 and IVD). The expression of 11 proteins was altered in the 5:1 group compared to the SFA group (↓: ATP5F1B, FTL1, GALK1, HGD, HSPA9, HSPD1, PC and TKFC; ↑: ACAT2, CA3 and GSTP1). High-PUFA diets significantly affected the expression of proteins involved in, e.g., carbohydrate metabolism, and had varying effects on plasma total cholesterol and glucose levels. The outcomes of this study revealed crucial liver proteins affected by different high-fat diets.
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Affiliation(s)
- Kamila P. Liput
- Department of Genomics and Biodiversity, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, ul. Postepu 36A, Jastrzebiec, 05-552 Magdalenka, Poland; (K.P.L.); (A.N.); (E.P.); (M.O.); (A.S.); (P.U.); (A.R.)
- Department of Molecular Biology, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, ul. Postepu 36A, Jastrzebiec, 05-552 Magdalenka, Poland;
| | - Adam Lepczyński
- Department of Physiology, Cytobiology and Proteomics, West Pomeranian University of Technology, K. Janickiego 32 Str., 71-270 Szczecin, Poland;
| | - Agata Nawrocka
- Department of Genomics and Biodiversity, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, ul. Postepu 36A, Jastrzebiec, 05-552 Magdalenka, Poland; (K.P.L.); (A.N.); (E.P.); (M.O.); (A.S.); (P.U.); (A.R.)
- Department of Experimental Genomics, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, ul. Postepu 36A, Jastrzebiec, 05-552 Magdalenka, Poland
| | - Ewa Poławska
- Department of Genomics and Biodiversity, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, ul. Postepu 36A, Jastrzebiec, 05-552 Magdalenka, Poland; (K.P.L.); (A.N.); (E.P.); (M.O.); (A.S.); (P.U.); (A.R.)
| | - Magdalena Ogłuszka
- Department of Genomics and Biodiversity, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, ul. Postepu 36A, Jastrzebiec, 05-552 Magdalenka, Poland; (K.P.L.); (A.N.); (E.P.); (M.O.); (A.S.); (P.U.); (A.R.)
| | - Aneta Jończy
- Department of Molecular Biology, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, ul. Postepu 36A, Jastrzebiec, 05-552 Magdalenka, Poland;
| | - Weronika Grzybek
- Department of Biotechnology and Nutrigenomics, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, ul. Postepu 36A, Jastrzebiec, 05-552 Magdalenka, Poland;
| | - Michał Liput
- Department of Stem Cell Bioengineering, Mossakowski Medical Research Institute of the Polish Academy of Sciences, 02-106 Warsaw, Poland;
| | - Agnieszka Szostak
- Department of Genomics and Biodiversity, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, ul. Postepu 36A, Jastrzebiec, 05-552 Magdalenka, Poland; (K.P.L.); (A.N.); (E.P.); (M.O.); (A.S.); (P.U.); (A.R.)
| | - Paweł Urbański
- Department of Genomics and Biodiversity, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, ul. Postepu 36A, Jastrzebiec, 05-552 Magdalenka, Poland; (K.P.L.); (A.N.); (E.P.); (M.O.); (A.S.); (P.U.); (A.R.)
| | - Agnieszka Roszczyk
- Department of Genomics and Biodiversity, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, ul. Postepu 36A, Jastrzebiec, 05-552 Magdalenka, Poland; (K.P.L.); (A.N.); (E.P.); (M.O.); (A.S.); (P.U.); (A.R.)
| | - Chandra S. Pareek
- Institute of Veterinary Medicine, Faculty of Biological and Veterinary Sciences, Nicolaus Copernicus University, 87-100 Toruń, Poland;
- Division of Functional Genomics in Biological and Biomedical Research, Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, 87-100 Torun, Poland
| | - Mariusz Pierzchała
- Department of Genomics and Biodiversity, Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences, ul. Postepu 36A, Jastrzebiec, 05-552 Magdalenka, Poland; (K.P.L.); (A.N.); (E.P.); (M.O.); (A.S.); (P.U.); (A.R.)
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37
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Russo GL, Siani A, Fogliano V, Geleijnse JM, Giacco R, Giampaoli S, Iacoviello L, Kromhout D, Lionetti L, Naska A, Pellegrini N, Riccardi G, Sofi F, Vitale M, Strazzullo P. The Mediterranean diet from past to future: Key concepts from the second "Ancel Keys" International Seminar. Nutr Metab Cardiovasc Dis 2021; 31:717-732. [PMID: 33558092 DOI: 10.1016/j.numecd.2020.12.020] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Accepted: 12/18/2020] [Indexed: 12/11/2022]
Abstract
The year 2020 celebrated the tenth anniversary of the recognition of the Mediterranean Diet as Intangible Cultural Heritage of Humanity by the UNESCO Intergovernmental Committee. This event represented a milestone in the history of nutrition, as the Mediterranean diet was the first traditional food practice to receive such award. Since then, a lot has been discussed not only on the beneficial aspects of the Mediterranean diet, but also on its complex role as a lifestyle model that includes a set of skills, knowledge and intercultural dialogue. This process ended up with the recognition in 2019 of Mediterranean diet as a possibly universal model of healthy diet from the EAT-Lancet Commission. These concepts were widely debated at the 2019 "Ancel Keys" International Seminar, held in Ascea (Italy) (for more information see: www.mediterraneandietseminar.org) with the aim to stimulate interest and awareness of a young group of participants on the current problems inherent to the effective implementation of the Mediterranean diet. The present article collects the contributions of several lecturers at the Seminar on key issues such as methodological and experimental approach, sustainability, molecular aspects in disease prevention, future exploitation, without neglecting a historical view of the Seven Countries Study. From the Seminar conclusions emerged a still vibrant and modern role of Mediterranean diet. The years to come will see national and international efforts to reduce the barriers that limit adherence to Mediterranean diet in order to plan for multi-factorial and targeted interventions that would guide our populations to a sustainable healthy living.
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Affiliation(s)
- Gian Luigi Russo
- Institute of Food Sciences, National Research Council, Avellino, Italy.
| | - Alfonso Siani
- Institute of Food Sciences, National Research Council, Avellino, Italy
| | - Vincenzo Fogliano
- Food Quality Design Group, Wageningen University, Wageningen, the Netherlands
| | - Johanna M Geleijnse
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Rosalba Giacco
- Institute of Food Sciences, National Research Council, Avellino, Italy; Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Simona Giampaoli
- Former director of the Department of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy; Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Daan Kromhout
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Lillà Lionetti
- Department of Chemistry and Biology "Adolfo Zambelli", University of Salerno, Fisciano (Salerno), Italy
| | - Androniki Naska
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Greece
| | - Nicoletta Pellegrini
- Food Quality Design Group, Wageningen University, Wageningen, the Netherlands; Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
| | - Gabriele Riccardi
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Francesco Sofi
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Marilena Vitale
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
| | - Pasquale Strazzullo
- Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy
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Al-Nimr RI, Wright KCS, Aquila CL, Petersen CL, Gooding TL, Batsis JA. Intensive nutrition counseling as part of a multi-component weight loss intervention improves diet quality and anthropometrics in older adults with obesity. Clin Nutr ESPEN 2020; 40:293-299. [PMID: 33183553 DOI: 10.1016/j.clnesp.2020.09.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 09/01/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND AIMS Obesity significantly impacts older adults. Intensive nutrition counseling can aid in weight reduction and improve diet quality, but data are sparse in this population. The objective of this intervention is to determine how intensive nutrition counseling affects diet quality and anthropometric measures during a multi-component weight loss intervention in rural older adults with obesity. METHODS A series of 12-week, single-arm feasibility pilots were conducted in fall 2017 and winter/spring 2018 in a community aging center in rural Northern New England. Adults were eligible if ≥ 65 years old with a Body Mass Index (BMI) ≥30 kg/m2. Exclusion criteria included dementia/cognitive impairment, uncontrolled psychiatric illness, weight-loss surgery, weight loss >5% in previous 6-months, life-threatening illness, palliative/hospice services, current participation in another weight-loss study/program, obesogenic medications, or presence of major chronic conditions. Participants received once-weekly nutrition counseling by a registered dietitian nutritionist (RDN), and twice-weekly exercise sessions by a physical therapist (PT). Primary outcomes were diet quality changes measured by total Rapid Eating and Activity Assessment for Patients-Short Version (REAP-S) and Automated Self-Administered 24-h dietary recall (ASA-24). Secondary outcome measures were changes in weight (kilograms) and waist circumference (centimeters). McNemar test was conducted for all paired categorical data while paired t-tests were conducted for all paired continuous data. All analyses were conducted in R; p-value<0.05 was significant. RESULTS Total n = 23. Mean age was 72.2 (5.8) years (73.9% female); mean BMI was 35.9 ± 5.0 kg/m2. At 12 weeks, diet quality significantly improved. REAP-S scores increased by 3.53 ± 3.13 points (p < 0.001). Kilocalories, grams fat, grams saturated fat, milligrams sodium, grams added sugar, and grams alcohol via ASA-24 significantly decreased (all p < 0.05). Significant reductions in weight (-5.22 ± 3.13 kg) and waist circumference (-6.88 ± 5.67 cm) were observed (both p < 0.001). CONCLUSION Intensive nutrition counseling significantly enhances diet quality and reduces weight and waist circumference in rural older adults with obesity.
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Affiliation(s)
- Rima Itani Al-Nimr
- The Geisel School of Medicine at Dartmouth, 1 Rope Ferry Road Hanover, NH, 03755, USA; Department of Internal Medicine, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive Lebanon, NH, 03766, USA.
| | - K C S Wright
- Department of Internal Medicine, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive Lebanon, NH, 03766, USA; Wildberrycommunications.com, 1106 Lakeshore Drive, New London, NH, 03257, USA.
| | - Christina L Aquila
- Department of Internal Medicine, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive Lebanon, NH, 03766, USA.
| | - Curtis L Petersen
- The Geisel School of Medicine at Dartmouth, 1 Rope Ferry Road Hanover, NH, 03755, USA; The Dartmouth Institute for Health Policy,1 Medical Center Drive, Lebanon, NH, 03766, USA.
| | - Tyler L Gooding
- Department of Internal Medicine, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive Lebanon, NH, 03766, USA.
| | - John A Batsis
- The Geisel School of Medicine at Dartmouth, 1 Rope Ferry Road Hanover, NH, 03755, USA; Department of Internal Medicine, Dartmouth-Hitchcock Medical Center, 1 Medical Center Drive Lebanon, NH, 03766, USA; The Dartmouth Institute for Health Policy,1 Medical Center Drive, Lebanon, NH, 03766, USA; Division of Geriatric Medicine, Center for Aging and Health, Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, HC, 27517, USA.
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Fatty Acid Profile of Mature Red Blood Cell Membranes and Dietary Intake as a New Approach to Characterize Children with Overweight and Obesity. Nutrients 2020; 12:nu12113446. [PMID: 33182783 PMCID: PMC7696547 DOI: 10.3390/nu12113446] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/06/2020] [Accepted: 11/08/2020] [Indexed: 12/11/2022] Open
Abstract
Obesity is a chronic metabolic disease of high complexity and of multifactorial origin. Understanding the effects of nutrition on childhood obesity metabolism remains a challenge. The aim of this study was to determine the fatty acid (FA) profile of red blood cell (RBC) membranes as a comprehensive biomarker of children’s obesity metabolism, together with the evaluation of their dietary intake. An observational study was carried out on 209 children (107 healthy controls, 41 who were overweight and 61 with obesity) between 6 and 16 years of age. Mature RBC membrane phospholipids were analyzed for FA composition by gas chromatography-mass spectrometry (GC-MS). Dietary habits were evaluated using validated food frequency questionnaires (FFQ) and the Mediterranean Diet Quality Index for children (KIDMED) test. Compared to children with normal weight, children with obesity showed an inflammatory profile in mature RBC FAs, evidenced by higher levels of ω-6 polyunsaturated FAs (mainly arachidonic acid, p < 0.001). Children who were overweight or obese presented lower levels of monounsaturated FA (MUFA) compared to children with normal weight (p = 0.001 and p = 0.03, respectively), resulting in an increased saturated fatty acid (SFA)/MUFA ratio. A lower intake of nuts was observed for children with obesity. A comprehensive membrane lipidomic profile approach in children with obesity will contribute to a better understanding of the metabolic differences present in these individuals.
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Zec MM, Krga I, Takić M, Debeljak-Martačić J, Korićanac G, Ranković S, Popović T, Pantelić M, Glibetic M. Walnut Consumption Induces Tissue-Specific Omega-6/Omega-3 Decrease in High-Fructose-Fed Wistar Rats. ACS OMEGA 2020; 5:28136-28145. [PMID: 33163796 PMCID: PMC7643199 DOI: 10.1021/acsomega.0c03784] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 10/08/2020] [Indexed: 05/08/2023]
Abstract
Increased dietary, blood, and tissue n-6/n-3 fatty acid ratios are associated with obesity and metabolic syndrome. Due to Westernized dietary patterns, the increasing n-6/n-3 ratio is of growing concern worldwide, and dietary strategies aimed at its lowering are of public health importance. Walnuts are rich in dietary fats, and their consumption promotes cardiometabolic health. This study aimed to examine the effect of 6-week walnut consumption on tissue-specific n-6/n-3 ratio and fatty acid metabolic conversion in fructose-fed rats with a cluster of metabolic disorders. Male Wistar rats were fed a standard diet with or without 10% fructose in drinking water for 9 weeks. Diets of half of the animals were then supplemented with walnuts (2.4 g/day) for 6 weeks, upon which fatty acid profiles were determined in plasma, liver, adipose tissue, and kidney total lipids. Results showed that walnuts induced significant decreases in the n-6/n-3 content of total lipid pool in plasma and examined tissues, irrespective of metabolic burden. Walnut intervention decreased plasma and liver palmitoleic/palmitic, arachidonic/linoleic, and docosahexaenoic/α-linolenic acid ratios. It also modulated individual fatty acid levels by reducing arachidonic and palmitic acid and increasing α-linolenic, eicosapentaenoic, and docosapentaenoic acid in plasma and most tissues. Our study demonstrated that 6-week consumption of walnuts favorably modulated n-6/n-3 plasma and tissue ratio in male Wistar rats regardless of high-fructose feeding, underscoring the promising potential of walnuts in both prevention and treatment of the metabolic syndrome.
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Affiliation(s)
- Manja M. Zec
- Centre
of Excellence in Nutrition and Metabolism Research, Institute for
Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia
| | - Irena Krga
- Centre
of Excellence in Nutrition and Metabolism Research, Institute for
Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia
| | - Marija Takić
- Centre
of Excellence in Nutrition and Metabolism Research, Institute for
Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia
| | - Jasmina Debeljak-Martačić
- Centre
of Excellence in Nutrition and Metabolism Research, Institute for
Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia
| | - Goran Korićanac
- Laboratory
for Molecular Biology and Endocrinology, Vinča Institute of
Nuclear Sciences, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11001, Serbia
| | - Slavica Ranković
- Centre
of Excellence in Nutrition and Metabolism Research, Institute for
Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia
| | - Tamara Popović
- Centre
of Excellence in Nutrition and Metabolism Research, Institute for
Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia
| | - Marija Pantelić
- Laboratory
for Molecular Biology and Endocrinology, Vinča Institute of
Nuclear Sciences, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11001, Serbia
| | - Maria Glibetic
- Centre
of Excellence in Nutrition and Metabolism Research, Institute for
Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia
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Type 2 Diabetes Mellitus Associated with Obesity (Diabesity). The Central Role of Gut Microbiota and Its Translational Applications. Nutrients 2020; 12:nu12092749. [PMID: 32917030 PMCID: PMC7551493 DOI: 10.3390/nu12092749] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 08/31/2020] [Accepted: 09/04/2020] [Indexed: 02/07/2023] Open
Abstract
Obesity is a condition of rising prevalence worldwide, with important socioeconomic implications, being considered as a growing public health concern. Frequently, obesity brings other complications in addition to itself—like Type 2 Diabetes Mellitus (T2DM)—sharing origin, risk factors and pathophysiological mechanisms. In this context, some authors have decided to include both conditions as a unique entity known as “diabesity”. In fact, understanding diabesity as a single disease is possible to maximise the benefits from therapies received in these patients. Gut microbiota plays a key role in individual’s health, and their alterations, either in its composition or derived products are related to a wide range of metabolic disorders like T2DM and obesity. The present work aims to collect the different changes reported in gut microbiota in patients with T2DM associated with obesity and their possible role in the onset, development, and establishment of the disease. Moreover, current research lines to modulate gut microbiota and the potential clinical translation derived from the knowledge of this system will also be reviewed, which may provide support for a better clinical management of such a complex condition.
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Spaeth AM, Goel N, Dinges DF. Caloric and Macronutrient Intake and Meal Timing Responses to Repeated Sleep Restriction Exposures Separated by Varying Intervening Recovery Nights in Healthy Adults. Nutrients 2020; 12:nu12092694. [PMID: 32899289 PMCID: PMC7550992 DOI: 10.3390/nu12092694] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 08/31/2020] [Accepted: 09/01/2020] [Indexed: 11/17/2022] Open
Abstract
Sleep restriction (SR) reliably increases caloric intake. It remains unknown whether such intake cumulatively increases with repeated SR exposures and is impacted by the number of intervening recovery sleep opportunities. Healthy adults (33.9 ± 8.9y; 17 women, Body Mass Index: 24.8 ± 3.6) participated in a laboratory protocol. N = 35 participants experienced two baseline nights (10 h time-in-bed (TIB)/night; 22:00–08:00) followed by 10 SR nights (4 h TIB/night; 04:00–08:00), which were divided into two exposures of five nights each and separated by one (n = 13), three (n = 12), or five (n = 10) recovery nights (12 h TIB/night; 22:00–10:00). Control participants (n = 10) were permitted 10 h TIB (22:00–08:00) on all nights. Food and drink consumption were ad libitum and recorded daily. Compared to baseline, sleep-restricted participants increased daily caloric (+527 kcal) and saturated fat (+7 g) intake and decreased protein (−1.2% kcal) intake during both SR exposures; however, intake did not differ between exposures or recovery conditions. Similarly, although sleep-restricted participants exhibited substantial late-night caloric intake (671 kcal), such intake did not differ between exposures or recovery conditions. By contrast, control participants showed no changes in caloric intake across days. We found consistent caloric and macronutrient intake increases during two SR exposures despite varying intervening recovery nights. Thus, energy intake outcomes do not cumulatively increase with repeated restriction and are unaffected by recovery opportunities.
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Affiliation(s)
- Andrea M. Spaeth
- Department of Kinesiology and Health, Division of Life Sciences, School of Arts and Sciences, Rutgers University, New Brunswick, NJ 08901, USA
- Correspondence:
| | - Namni Goel
- Biological Rhythms Research Laboratory, Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL 60612, USA;
| | - David F. Dinges
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA;
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San-Cristobal R, Navas-Carretero S, Martínez-González MÁ, Ordovas JM, Martínez JA. Contribution of macronutrients to obesity: implications for precision nutrition. Nat Rev Endocrinol 2020; 16:305-320. [PMID: 32235875 DOI: 10.1038/s41574-020-0346-8] [Citation(s) in RCA: 100] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/04/2020] [Indexed: 01/03/2023]
Abstract
The specific metabolic contribution of consuming different energy-yielding macronutrients (namely, carbohydrates, protein and lipids) to obesity is a matter of active debate. In this Review, we summarize the current research concerning associations between the intake of different macronutrients and weight gain and adiposity. We discuss insights into possible differential mechanistic pathways where macronutrients might act on either appetite or adipogenesis to cause weight gain. We also explore the role of dietary macronutrient distribution on thermogenesis or energy expenditure for weight loss and maintenance. On the basis of the data discussed, we describe a novel way to manage excessive body weight; namely, prescribing personalized diets with different macronutrient compositions according to the individual's genotype and/or enterotype. In this context, the interplay of macronutrient consumption with obesity incidence involves mechanisms that affect appetite, thermogenesis and metabolism, and the outcomes of these mechanisms are altered by an individual's genotype and microbiota. Indeed, the interactions of the genetic make-up and/or microbiota features of a person with specific macronutrient intakes or dietary pattern consumption help to explain individualized responses to macronutrients and food patterns, which might represent key factors for comprehensive precision nutrition recommendations and personalized obesity management.
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Affiliation(s)
- Rodrigo San-Cristobal
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, Spanish National Research Council, Madrid, Spain
| | - Santiago Navas-Carretero
- Centre for Nutrition Research, University of Navarra, Pamplona, Spain.
- CIBERobn, Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion, Madrid, Spain.
- IdisNA, Navarra Institute for Health Research, Pamplona, Spain.
| | - Miguel Ángel Martínez-González
- CIBERobn, Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion, Madrid, Spain
- IdisNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - José María Ordovas
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
- Department of Cardiovascular Epidemiology and Population Genetics, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- Nutritional Genomics of Cardiovascular Disease and Obesity Fundation IMDEA Food, Campus of International Excellence, Spanish National Research Council, Madrid, Spain
| | - José Alfredo Martínez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, Spanish National Research Council, Madrid, Spain
- Centre for Nutrition Research, University of Navarra, Pamplona, Spain
- CIBERobn, Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion, Madrid, Spain
- IdisNA, Navarra Institute for Health Research, Pamplona, Spain
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Influence of the Mediterranean Diet on 25- Hydroxyvitamin D Levels in Adults. Nutrients 2020; 12:nu12051439. [PMID: 32429342 PMCID: PMC7284708 DOI: 10.3390/nu12051439] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 04/26/2020] [Accepted: 05/14/2020] [Indexed: 02/07/2023] Open
Abstract
The Mediterranean diet (MD) is a dietary pattern effective in terms of prevention of obesity-related diseases, and represents the gold standard in preventive medicine, due to the synergistic action of many nutrients with antioxidant and anti-inflammatory properties. In addition, excess body weight significantly increases the risk of hypovitaminosis D, a well-recognized common feature of individuals with obesity. It is well-known that there is a clear gender difference in the adherence to the MD. The aim of this study was to investigate the association between adherence to the MD and 25-hydroxyvitamin D (25OHD) levels in adults, according to gender. Study population consisted of 617 participants; 296 were males and 321 were females, matched by age and body mass index (BMI). A validated 14-item questionnaire PREDIMED (Prevención con dieta Mediterránea) was used for the assessment of adherence to the MD. The 25OHD levels were determined by a direct competitive chemiluminescence immunoassay. Females have a higher PREDIMED score than males (7.4 ± 2.8 vs. 6.7 ± 3.1 score, p = 0.001), and according to PREDIMED categories, a greater percentage of males had low adherence to the MD compared to their female counterparts (40.2% vs. 37.1%; χ2 = 8.94, p = 0.003). The 25OHD levels were higher in males than in females (18.3 ± 7.3 vs. 16.8 ± 7.8 ng/mL, p = 0.01), and a higher percentage of males had sufficient 25OHD levels (>30 ng/mL) than their female counterparts (10.5% vs. 3.4%, χ2 = 10.96, p < 0.001). Stratifying the sample population according to 25OHD categories, BMI decreased and PREDIMED score increased significantly along with the increased 25OHD levels, in both males and females, respectively (p < 0.001). Looking at the bivariate correlations, PREDIMED score was positively correlated with 25OHD levels after adjusting for age and BMI, in both males (r = 0.21, p < 0.001) and females (r = 0.30, p < 0.001). At the bivariate proportional odds ratio (OR) model, 25OHD levels presented the highest OR values in the category low adherence vs. high adherence to the MD, in both genders (OR 1.21 and OR 1.31, in males and females, respectively). Receiver operator characteristic (ROC) analysis was performed to determine the cut-off values of PREDIMED scores predictive of 25OHD levels: PREDIMED score >5 in males (p < 0.001) and >7 in females (p < 0.001) could serve as thresholds for 25OHD levels above the median. The results of our study highlighted a novel positive association between adherence to the MD and 25OHD levels in both genders. Although 25OHD levels were higher in males than females, 69.7% were deficient. To the best of our knowledge, this is the first study to show that high adherence to the MD is associated with low BMI and high 25OHD levels in both genders, probably through the anti-inflammatory and anti-oxidant effects that are synergistically exerted by either MD or vitamin D on body weight.
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Claro-Cala CM, Quintela JC, Pérez-Montero M, Miñano J, Alvarez de Sotomayor M, Herrera MD, Rodríguez-Rodríguez R. Pomace Olive Oil Concentrated in Triterpenic Acids Restores Vascular Function, Glucose Tolerance and Obesity Progression in Mice. Nutrients 2020; 12:nu12020323. [PMID: 31991894 PMCID: PMC7071211 DOI: 10.3390/nu12020323] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 01/16/2020] [Accepted: 01/22/2020] [Indexed: 02/06/2023] Open
Abstract
Pomace olive oil, an olive oil sub-product, is a promising source of bioactive triterpenoids such as oleanolic acid and maslinic acid. Considering the vascular actions of pomace olive oil and the potential effects of the isolated oleanolic acid on metabolic complications of obesity, this study investigates for the first time the dietary intervention with a pomace olive oil with high concentrations of the triterpenic acids (POCTA), oleanolic and maslinic acid, during diet-induced obesity in mice. The results demonstrate that obese mice, when switched to a POCTA-diet for 10 weeks, show a substantial reduction of body weight, insulin resistance, adipose tissue inflammation, and particularly, improvement of vascular function despite high caloric intake. This study reveals the potential of a functional food based on pomace olive oil and its triterpenic fraction against obesity progression. Our data also contribute to understanding the health-promoting effects attributable to the Mediterranean diet.
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Affiliation(s)
- Carmen Maria Claro-Cala
- Department of Pharmacology, Pediatric and Radiology, Faculty of Medicine, University of Sevilla, E-41009 Sevilla, Spain;
- Correspondence: (C.M.C.-C.); (R.R.-R.); Tel.: +34-954-550-988 (C.M.C.-C.); +34-935-042-002 (R.R.-R.)
| | | | - Marta Pérez-Montero
- Basic Sciences Department, Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya, E-08195 Sant Cugat del Vallès, Spain;
| | - Javier Miñano
- Department of Pharmacology, Pediatric and Radiology, Faculty of Medicine, University of Sevilla, E-41009 Sevilla, Spain;
| | - María Alvarez de Sotomayor
- Departamento de Farmacología, Facultad de Farmacia, Universidad de Sevilla, E-41012 Sevilla, Spain; (M.A.d.S.); (M.D.H.)
| | - María Dolores Herrera
- Departamento de Farmacología, Facultad de Farmacia, Universidad de Sevilla, E-41012 Sevilla, Spain; (M.A.d.S.); (M.D.H.)
| | - Rosalía Rodríguez-Rodríguez
- Basic Sciences Department, Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya, E-08195 Sant Cugat del Vallès, Spain;
- Correspondence: (C.M.C.-C.); (R.R.-R.); Tel.: +34-954-550-988 (C.M.C.-C.); +34-935-042-002 (R.R.-R.)
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Shapira N. The Metabolic Concept of Meal Sequence vs. Satiety: Glycemic and Oxidative Responses with Reference to Inflammation Risk, Protective Principles and Mediterranean Diet. Nutrients 2019; 11:E2373. [PMID: 31590352 PMCID: PMC6835480 DOI: 10.3390/nu11102373] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 08/31/2019] [Accepted: 09/17/2019] [Indexed: 02/06/2023] Open
Abstract
With increasing exposure to eating opportunities and postprandial conditions becoming dominant states, acute effects of meals are garnering interest. In this narrative review, meal components, combinations and course sequence were questioned vis-à-vis resultant postprandial responses, including satiety, glycemic, oxidative and inflammatory risks/outcomes vs. protective principles, with reference to the Mediterranean diet. Representative scientific literature was reviewed and explained, and corresponding recommendations discussed and illustrated. Starting meals with foods, courses and/or preloads high in innate/added/incorporated water and/or fibre, followed by protein-based courses, delaying carbohydrates and fatty foods and minimizing highly-processed/sweetened hedonic foods, would increase satiety-per-calorie vs. obesogenic passive overconsumption. Similarly, starting with high-water/fibre dishes, followed by high-protein foods, oils/fats, and delayed/reduced slowly-digested whole/complex carbohydrate sources, optionally closing with simpler carbohydrates/sugars, would reduce glycaemic response. Likewise, starting with foods high in innate/added/incorporated water/fibre/antioxidants, high monounsaturated fatty acid foods/oils, light proteins and whole/complex carbohydrate foods, with foods/oils low in n-6 polyunsaturated fatty acids (PUFA) and n-6:n-3 PUFA ratios, and minimal-to-no red meat and highly/ultra-processed foods/lipids, would reduce oxidative/inflammatory response. Pyramids illustrating representative meal sequences, from most-to-least protective foods, visually communicate similarities between axes, suggesting potential unification for optimal meal sequence, consistent with anti-inflammatory nutrition and Mediterranean diet/meal principles, warranting application and outcome evaluation.
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Julibert A, Bibiloni MDM, Mateos D, Angullo E, Tur JA. Dietary Fat Intake and Metabolic Syndrome in Older Adults. Nutrients 2019; 11:E1901. [PMID: 31416272 PMCID: PMC6723812 DOI: 10.3390/nu11081901] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 08/09/2019] [Accepted: 08/12/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Metabolic Syndrome (MetS) is associated with higher rates of cardiovascular disease (CVD), type 2 diabetes mellitus, and cancer worldwide. OBJECTIVE To assess fat intake in older adults with or without MetS. DESIGN Cross-sectional nutritional survey in older adults living in the Balearic Islands (n = 477, 48% women, 55-80 years old) with no previous CVD. METHODS Assessment of fat (total fat, MUFA, PUFA, SFA, TFA, linoleic acid, α-linolenic acid, marine and non-marine ω-3 FA, animal fat and vegetable fat, cholesterol) and macronutrient intake using a validated food frequency questionnaire, and its comparison with recommendations of the US Institute of Medicine (IOM) and the Spanish Society of Community Nutrition (SENC). RESULTS Participants with MetS showed higher BMI, lower physical activity, higher total fat and MUFA intake, and lower intake of energy, carbohydrates, and fiber than participants without MetS. Men and women with MetS were below the Acceptable Macronutrient Distribution Range (AMDR) proposed by IOM for carbohydrates and above the AMDR for total fat and MUFAs, and women were below the AMDR proposed for α-linolenic acid (ALA) compared with participants without MetS. CONCLUSIONS Subjects with MetS were less likely to meet IOM and SENC recommendations for fat and macronutrient intakes as compared to non-MetS subjects.
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Affiliation(s)
- Alicia Julibert
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, IDISBA & CIBEROBN, 07122 Palma de Mallorca, Spain
| | - Maria Del Mar Bibiloni
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, IDISBA & CIBEROBN, 07122 Palma de Mallorca, Spain
| | - David Mateos
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, IDISBA & CIBEROBN, 07122 Palma de Mallorca, Spain
| | - Escarlata Angullo
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, IDISBA & CIBEROBN, 07122 Palma de Mallorca, Spain
- Escola Graduada Primary Health Care Center, IBSalut, 07001 Palma de Mallorca, Spain
| | - Josep A Tur
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, IDISBA & CIBEROBN, 07122 Palma de Mallorca, Spain.
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48
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Julibert A, Bibiloni MDM, Bouzas C, Martínez-González MÁ, Salas-Salvadó J, Corella D, Zomeño MD, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Tinahones FJ, Lapetra J, Pintó X, Lopez-Miranda J, García-Molina L, Gaforio JJ, Matía-Martín P, Daimiel L, Martín-Sánchez V, Vidal J, Vázquez C, Ros E, Toledo E, Becerra-Tomás N, Pórtoles O, Pérez-Vega KA, Fiol M, Torres-Collado L, Tojal-Sierra L, Carabaño-Moral R, Abete I, Sanchez-Villegas A, Casas R, Bernal-López MR, Santos-Lozano JM, Galera A, Ugarriza L, Ruiz-Canela M, Babio N, Coltell O, Schröder H, Konieczna J, Orozco-Beltrán D, Sorto-Sánchez C, Eguaras S, Barrubés L, Fitó M, Tur JA. Total and Subtypes of Dietary Fat Intake and Its Association with Components of the Metabolic Syndrome in a Mediterranean Population at High Cardiovascular Risk. Nutrients 2019; 11:E1493. [PMID: 31261967 PMCID: PMC6682917 DOI: 10.3390/nu11071493] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 06/23/2019] [Accepted: 06/27/2019] [Indexed: 12/22/2022] Open
Abstract
Background: The effect of dietary fat intake on the metabolic syndrome (MetS) and in turn on cardiovascular disease (CVD) remains unclear in individuals at high CVD risk. Objective: To assess the association between fat intake and MetS components in an adult Mediterranean population at high CVD risk. Design: Baseline assessment of nutritional adequacy in participants (n = 6560, men and women, 55-75 years old, with overweight/obesity and MetS) in the PREvención con DIeta MEDiterránea (PREDIMED)-Plus randomized trial. Methods: Assessment of fat intake (total fat, monounsatured fatty acids: MUFA, polyunsaturated fatty acids: PUFA, saturated fatty acids: SFA, trans-fatty acids: trans-FA, linoleic acid, α-linolenic acid, and ω-3 FA) using a validated food frequency questionnaire, and diet quality using 17-item Mediterranean dietary questionnaire and fat quality index (FQI). Results: Participants in the highest quintile of total dietary fat intake showed lower intake of energy, carbohydrates, protein and fiber, but higher intake of PUFA, MUFA, SFA, TFA, LA, ALA and ω-3 FA. Differences in MetS components were found according to fat intake. Odds (5th vs. 1st quintile): hyperglycemia: 1.3-1.6 times higher for total fat, MUFA, SFA and ω-3 FA intake; low high-density lipoprotein cholesterol (HDL-c): 1.2 higher for LA; hypertriglyceridemia: 0.7 lower for SFA and ω-3 FA intake. Conclusions: Dietary fats played different role on MetS components of high CVD risk patients. Dietary fat intake was associated with higher risk of hyperglycemia.
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Grants
- PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI16/00473, PI16/00662, PI16/01873, PI1 Instituto de Salud Carlos III
- CIBEROBN Instituto de Salud Carlos III
- Advanced Research Grant 2013-2018; 340918 European Research Council
- 2013ACUP00194 Recercaixa
- PI0458/2013; PS0358/2016; PI0137/2018 Consejería de Salud de la Junta de Andalucía
- PROMETEO/2017/017 Generalitat Valenciana
- no ref. SEMERGEN grant
- no ref. FEDER funds
- 201302 ISCIII. International Nut & Dried Fruit Council - FESNAD
- 35/2011 Balearic Islands Gov
- CA16112 European Cooperation in Science and Technology
- 201630.10 Fundació La Marató TV3
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Affiliation(s)
- Alicia Julibert
- 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
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, 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, 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
| | - 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
| | - 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
| | - Jesús Vioque
- Miguel Hernández University, ISABIAL-FISABIO, 46020 Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Ángel M Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, 01009 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
| | - J Alfredo Martínez
- 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
- Cardiometabolics Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, 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 de Gran Canaria, 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
| | - 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 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 Cordoba, Spain
| | - Laura García-Molina
- 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
| | - José Juan Gaforio
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Health Sciences, 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
| | - Vicente Martín-Sánchez
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, 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
- Department of Endocrinology, Fundación Jiménez-Díaz, 28040 Madrid, Spain
| | - Emili 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
| | - Estefanía Toledo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- 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
- Human Nutrition Unit, Biochemistry and Biotechnology Department, IISPV, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Olga Pórtoles
- 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
| | - Karla A Pérez-Vega
- 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
| | - Miquel Fiol
- 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
| | - Laura Torres-Collado
- Miguel Hernández University, ISABIAL-FISABIO, 46020 Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Lucas Tojal-Sierra
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Rosa Carabaño-Moral
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Unidad de Gestión Clínica de Arroyo de la Miel. Distrito de Atención Primaria Costa del Sol, Servicio Andaluz de Salud, 29630 Benalmádena, 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
| | - Almudena Sanchez-Villegas
- 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 de Gran Canaria, Spain
| | - Rosa Casas
- 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
| | - María Rosa Bernal-López
- 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
| | - Ana Galera
- 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
| | - Lucía Ugarriza
- 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 Ruiz-Canela
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
| | - Nancy Babio
- 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, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Oscar Coltell
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Computer Languages and Systems. Universitat Jaume I, 12071 Castellon, 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
| | - Jadwiga Konieczna
- 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
| | - Domingo Orozco-Beltrán
- Miguel Hernández University, ISABIAL-FISABIO, 46020 Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Carolina Sorto-Sánchez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Sonia Eguaras
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, IdISNA, University of Navarra, 31008 Pamplona, Spain
| | - Laura Barrubés
- 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, Universitat Rovira i Virgili, 43201 Reus, Spain
| | - Montserrat Fitó
- 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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