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Xu B, Feng M, Tiliwa ES, Yan W, Wei B, Zhou C, Ma H, Wang B, Chang L. Multi-frequency power ultrasound green extraction of polyphenols from Pingyin rose: Optimization using the response surface methodology and exploration of the underlying mechanism. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2021.113037] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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El Mesmoudi N, Al Dhaheri AS, Ali HI. Development of a nutrient dataset based on a standardized approach for a nutrition survey conducted in the United Arab Emirates. J Food Compost Anal 2021. [DOI: 10.1016/j.jfca.2021.103899] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Amin MR, Ali M. Response to evaluation of the food composition tables: Beyond the divergence and agreement of intakes. MATERNAL & CHILD NUTRITION 2021; 17:e13195. [PMID: 33945213 PMCID: PMC8189210 DOI: 10.1111/mcn.13195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 03/30/2021] [Accepted: 04/07/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Md Ruhul Amin
- Institute of Nutrition and Food Science (INFS) University of Dhaka Dhaka Bangladesh
| | - Masum Ali
- Department of Food Business and Development University College Cork Cork Ireland
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Van Puyvelde H, Versele V, De Backer M, Casagrande C, Nicolas G, Clasen JL, Julián C, Skeie G, Chirlaque MD, Mahamat-Saleh Y, Amiano P, Pauwels S, Godderis L, Gunter MJ, Van Herck K, Huybrechts I. Methodological approaches to compile and validate a food composition database for methyl-group carriers in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Food Chem 2020; 330:127231. [PMID: 32535317 DOI: 10.1016/j.foodchem.2020.127231] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 03/05/2020] [Accepted: 06/01/2020] [Indexed: 02/02/2023]
Abstract
A standardised methodology was used to compile and validate a methyl-group carrier database (MGDB) including folate, choline, betaine and methionine, for use in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Compilation was performed by following structured guidelines to match the EPIC dietary intake data to food items from four food composition databases, according to their assigned priority of use. To assess relative validity, calculated dietary folate intakes were compared between the MGDB and the EPIC nutrient database (ENDB), used as the reference database. Folate intakes based on the MGDB and those generated using the ENDB showed good agreement (weighted κ = 0.63) and were strongly correlated (r = 0.81). This MGDB can be used for investigating potential associations between methyl-group carrier intakes and risk or prognosis of cancer and other diseases in the EPIC study population.
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Affiliation(s)
- Heleen Van Puyvelde
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, C. Heymanslaan 10, K3, 9000 Ghent, Belgium; Research Foundation - Flanders (FWO), Egmontstraat 5, 1000 Brussels, Belgium; Nutrition and Metabolism Section (NME), International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon CEDEX 08, France.
| | - Vickà Versele
- Department of Movement and Sport Sciences, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.
| | - Marlène De Backer
- Department of Nutrition and Dietetics, Faculty of Education, Health and Social Work, HoGent, Keramiekstraat 80, 9000 Gent, Belgium
| | - Corinne Casagrande
- Nutrition and Metabolism Section (NME), International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon CEDEX 08, France.
| | - Geneviève Nicolas
- Nutrition and Metabolism Section (NME), International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon CEDEX 08, France.
| | - Joanna L Clasen
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Hospital, Praed St, London W2 1NY, UK.
| | - Cristina Julián
- GENUD (Growth, Exercise, NUtrition and Development) Research Group, Department of Physiatry and Nursery, University of Zaragoza, Pedro Cerbuna, 12, 50009 Zaragoza, Spain.
| | - Guri Skeie
- Department of Community Medicine, UiT the Arctic University of Norway, Hansine Hansens veg 18, 9073 Tromsø, Norway; Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Woodhouse Ln, Leeds LS2 9JT, UK.
| | - Maria-Dolores Chirlaque
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Ronda de Levante, 11. E30008 Murcia, Spain; CIBER in Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029 Madrid, Spain.
| | - Yahya Mahamat-Saleh
- CESP, Fac. de médecine, Univ. Paris-Sud, Fac. de médecine - UVSQ, INSERM, Université Paris-Saclay, 114, rue Edouard-Vaillant, 94805 Villejuif, France; Institut Gustave Roussy, 114, rue Edouard-Vaillant, 94 805 Villejuif, France.
| | - Pilar Amiano
- CIBER in Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029 Madrid, Spain; Public Health Division of Gipuzkoa, BioDonostia Health Research Institute, Nafarro hiribidea 4, 20013 San Sebastian, Spain.
| | - Sara Pauwels
- Department of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 35 blok D box 7001, 3000 Leuven, Belgium; Unit Environmental Risk and Health, Flemish Institute of Technological Research (VITO), Vlasmeer 7, 2400 Mol, Belgium.
| | - Lode Godderis
- Department of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 35 blok D box 7001, 3000 Leuven, Belgium; IDEWE (Externe dienst voor Preventie en Bescherming op het Werk), Interleuvenlaan 58, 3001 Heverlee.
| | - Marc J Gunter
- Nutrition and Metabolism Section (NME), International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon CEDEX 08, France.
| | - Koen Van Herck
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, C. Heymanslaan 10, K3, 9000 Ghent, Belgium.
| | - Inge Huybrechts
- Nutrition and Metabolism Section (NME), International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon CEDEX 08, France.
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Van Puyvelde H, Perez-Cornago A, Casagrande C, Nicolas G, Versele V, Skeie G, B. Schulze M, Johansson I, María Huerta J, Oliverio A, Ricceri F, Halkjær J, Amiano Etxezarreta P, Van Herck K, Weiderpass E, J. Gunter M, Huybrechts I. Comparing Calculated Nutrient Intakes Using Different Food Composition Databases: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort. Nutrients 2020; 12:E2906. [PMID: 32977480 PMCID: PMC7650652 DOI: 10.3390/nu12102906] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 09/09/2020] [Accepted: 09/21/2020] [Indexed: 01/10/2023] Open
Abstract
This study aimed to compare calculated nutrient intakes from two different food composition databases using data from the European prospective investigation into cancer and nutrition (EPIC) cohort. Dietary intake data of the EPIC cohort was recently matched to 150 food components from the U.S. nutrient database (USNDB). Twenty-eight of these nutrients were already included in the EPIC nutrient database (ENDB-based upon country specific food composition tables), and used for comparison. Paired sample t-tests, Pearson's correlations (r), weighted kappa's (κ) and Bland-Altman plots were used to compare the dietary intake of 28 nutrients estimated by the USNDB and the ENDB for 476,768 participants. Small but significant differences were shown between the USNDB and the ENDB for energy and macronutrient intakes. Moderate to very strong correlations (r = 0.60-1.00) were found for all macro- and micronutrients. A strong agreement (κ > 0.80) was found for energy, water, total fat, carbohydrates, sugar, alcohol, potassium and vitamin C, whereas a weak agreement (κ < 0.60) was found for starch, vitamin D and vitamin E. Dietary intakes estimated via the USNDB compare adequately with those obtained via the ENDB for most macro- and micronutrients, although the agreement was weak for starch, vitamin D and vitamin E. The USNDB will allow exposure assessments for 150 nutrients to investigate associations with disease outcomes within the EPIC cohort.
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Affiliation(s)
- Heleen Van Puyvelde
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium; (H.V.P.); (K.V.H.)
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 150 cours Albert Thomas, CEDEX 08, 69372 Lyon, France; (C.C.); (G.N.); (M.J.G.)
- Research Foundation—Flanders (FWO), Egmontstraat 5, 1000 Brussels, Belgium
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Roosevelt dr, Oxford OX3 7LF, UK;
| | - Corinne Casagrande
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 150 cours Albert Thomas, CEDEX 08, 69372 Lyon, France; (C.C.); (G.N.); (M.J.G.)
| | - Geneviève Nicolas
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 150 cours Albert Thomas, CEDEX 08, 69372 Lyon, France; (C.C.); (G.N.); (M.J.G.)
| | - Vickà Versele
- Department of Movement and Sport Sciences, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium;
| | - Guri Skeie
- Head of Nutrition Studies, Department of Community Medicine, UiT the Arctic University of Norway, Hansine Hansens veg 18, 9037 Tromsø, Norway;
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany;
- Institute of Nutritional Science, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam OT Golm, Germany
| | - Ingegerd Johansson
- School of Dentistry, Cariology, Department of Odontology, Umeå University, 1D, Våning 5, Norrlands Universitetssjukhus, 901 85 Umeå, Sweden;
| | - José María Huerta
- Murcia Regional Health Council, Instituto Murciano de Investigación Biosanitaria (IMIB-Arrixaca), Ronda de Levante, 11., 30008 Murcia, Spain;
- CIBER de Epidemiología y Salud Pública (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029 Madrid, Spain;
| | - Andreina Oliverio
- Epidemiology and Prevention Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy;
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Regione Gonzole 10, 10043 Orbassano (TO), Italy;
- Unit of Epidemiology, Regional Health Service ASL TO3, 10095 Turin, Italy
| | - Jytte Halkjær
- Diet, Genes and Environment, Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark;
| | - Pilar Amiano Etxezarreta
- CIBER de Epidemiología y Salud Pública (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029 Madrid, Spain;
- Ministry of Health of the Basque Government, Public Health Division of Gipuzkoa, Avda de Navarra nº 4, 20013 Donostia-San Sebastian, Spain
- Biodonostia Health Research Institute, Paseo Doctor Begiristain, s/n, 20014 Donostia-San Sebastián, Spain
| | - Koen Van Herck
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium; (H.V.P.); (K.V.H.)
| | - Elisabete Weiderpass
- Office of the Director, International Agency for Research on Cancer, 150 Cours Albert Thomas, CEDEX 08, 69372 Lyon, France;
| | - Marc J. Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 150 cours Albert Thomas, CEDEX 08, 69372 Lyon, France; (C.C.); (G.N.); (M.J.G.)
| | - Inge Huybrechts
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 150 cours Albert Thomas, CEDEX 08, 69372 Lyon, France; (C.C.); (G.N.); (M.J.G.)
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Saito A, Okada E, Matsumoto M, Takimoto H. Impact of updated standard tables of food composition on nutrient intakes in Japan. J Food Compost Anal 2019. [DOI: 10.1016/j.jfca.2019.02.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Dzięciołowska-Baran E, Mularczyk M, Gawlikowska-Sroka A, Michnik K, Rębacz-Maron E. Analysis of eating behaviors and eating habits, body mass index and waist-to-hip ratio in association with spirometry results of young adults. ANTHROPOLOGICAL REVIEW 2017. [DOI: 10.1515/anre-2017-0011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Behavior and eating habits stands as an important factor in terms of maintaining a good health condition in every age group. This involves optimal digestion, maintaining proper metabolism of the entire organism and thus maintaining proper body weight. It is especially important for students, as the increased mental activity results in increased energy expenditure. The state of body weight can affect the respiratory efficiency measured in spirometry. The aim of the study was to assessthe relation between behavior and eating habits, body mass index (BMI), waist-to-hip ratio (WHR) and results from spirometry tests among young adults.
The study sample included 185 students from the University of Szczecin (mean age 21.2±1.3). Using a questionnaire prepared for the study, information on the eating plan of students for three consecutive days was collected. Dietary analysis was concerned with: eating in stressful situations, dieting, regularity of main meals, eating between main meals. Afterwards spirometry examination was performed along with a detailed measurement of body weight and height, waist and hip circumferences in order to calculate BMI and WHR index of each respondent. The data obtained was processed statistically. Significant correlations between FVC and “dieting” (Spearman’s rs=0.3) were recorded in the group of women. However, the association of other behavior and eating habits with spirometry parameters did reveal null results in both males and females.
Correct behaviors and eating habits at a young age affect spirometry parameters to a negligible extent. The absence of direct health related effects of bad consumption habits at a young age makes it all the more important to raise the awareness of students, that their current decisions will have an apparent effect in the future, maybe only after a few years.
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DREHMER M, MELERE C, REINHEIMER SM, CAMEY SA. Agreement of dietary fiber and calorie intake values according to the choice of nutrient composition and household measure tables. REV NUTR 2017. [DOI: 10.1590/1678-98652017000200008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
ABSTRACT Objective: To analyze the variations in the daily intake of dietary fiber and calories according to the different nutrient composition and homemade measure tables. Methods: Five different methods based on different nutrient composition and household measure tables were used to calculate daily calorie and fiber intake, measured using a food frequency questionnaire, of 633 pregnant women receiving care in primary health care units in the Southern region of Brazil; they were selected to participate in a cohort study. The agreement between the five methods was evaluated using the Kappa and weighted Kappa coefficients. The Nutritional Support Table, a Brazilian traditional food composition table and the Brazilian household expenditure survey were used in Method 1. Brazilian Food Composition Table and the Table for the Assessment of Household Measures (Pinheiro) were used in Methods 2 and 3. The average values of all subtypes of food listed in the Brazilian Food Composition Table for each corresponding item in the food frequency questionnaire were calculated in the method 3. The United States Department of Agriculture Food Composition Table and the table complied by Pinheiro were used in Method 4. The Brazilian Food Composition Table and the Brazilian household expenditure survey were used in Method 5. Results: The highest agreement of calorie intake values were found between Methods 2 and 3 (Kappa=0.94; 0.92-0.95), and the lowest agreement was found between Methods 4 and 5 (Kappa=0.46; 0.42-0.50). As for the fiber intake, the highest agreement was found between Methods 2 and 5 (Kappa=0.87; 0.82-0.90), and the lowest agreement was observed between Methods 1 and 4 (Kappa=0.36; 0.3-0.43). Conclusion: Considerable differences were found between the nutritional composition tables. Therefore, the choice of the table can influence the comparability between studies.
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Ventilatory function in young adults and dietary antioxidant intake. Nutrients 2015; 7:2879-96. [PMID: 25884660 PMCID: PMC4425179 DOI: 10.3390/nu7042879] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Revised: 03/18/2015] [Accepted: 03/26/2015] [Indexed: 11/17/2022] Open
Abstract
Dietary antioxidants may protect against poor ventilatory function. We assessed the relation between ventilatory function and antioxidant components of diet in young Chileans. Forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and the ratio FEV1/FVC were measured in 1232 adults aged 22–28 years, using a Vitalograph device. Dietary intake was ascertained with a food frequency questionnaire (FFQ) designed for this study, from which nutrient and flavonoid intakes were estimated. Dietary patterns were derived with Principal Component Analysis (PCA). After controlling for potential confounders, dietary intake of total catechins was positively associated with FVC (Regression coefficient (RC) of highest vs. lowest quintile of intake 0.07; 95% CI 0.01 to 0.15; p per trend 0.006). Total fruit intake was related to FVC (RC of highest vs. lowest quintile 0.08; 95% CI 0.003 to 0.15; p per trend 0.02). Intake of omega 3 fatty acids was associated with a higher FEV1 (RC for highest vs. lowest quintile 0.08; 95% CI 0.01 to 0.15 L; p per trend 0.02) and with FVC 0.08 (RC in highest vs. lowest quintile of intake 0.08, 95% CI 0.001 to 0.16; p per trend 0.04). Our results show that fresh fruits, flavonoids, and omega 3 fatty acids may contribute to maintain ventilatory function.
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Comparison of national food supply, household food availability and individual food consumption data in Portugal. J Public Health (Oxf) 2007. [DOI: 10.1007/s10389-007-0102-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Slimani N, Deharveng G, Unwin I, Southgate DAT, Vignat J, Skeie G, Salvini S, Parpinel M, Møller A, Ireland J, Becker W, Farran A, Westenbrink S, Vasilopoulou E, Unwin J, Borgejordet A, Rohrmann S, Church S, Gnagnarella P, Casagrande C, van Bakel M, Niravong M, Boutron-Ruault MC, Stripp C, Tjønneland A, Trichopoulou A, Georga K, Nilsson S, Mattisson I, Ray J, Boeing H, Ocké M, Peeters PHM, Jakszyn P, Amiano P, Engeset D, Lund E, de Magistris MS, Sacerdote C, Welch A, Bingham S, Subar AF, Riboli E. The EPIC nutrient database project (ENDB): a first attempt to standardize nutrient databases across the 10 European countries participating in the EPIC study. Eur J Clin Nutr 2007; 61:1037-56. [PMID: 17375121 DOI: 10.1038/sj.ejcn.1602679] [Citation(s) in RCA: 288] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE This paper describes the ad hoc methodological concepts and procedures developed to improve the comparability of Nutrient databases (NDBs) across the 10 European countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC). This was required because there is currently no European reference NDB available. DESIGN A large network involving national compilers, nutritionists and experts on food chemistry and computer science was set up for the 'EPIC Nutrient DataBase' (ENDB) project. A total of 550-1500 foods derived from about 37,000 standardized EPIC 24-h dietary recalls (24-HDRS) were matched as closely as possible to foods available in the 10 national NDBs. The resulting national data sets (NDS) were then successively documented, standardized and evaluated according to common guidelines and using a DataBase Management System specifically designed for this project. The nutrient values of foods unavailable or not readily available in NDSs were approximated by recipe calculation, weighted averaging or adjustment for weight changes and vitamin/mineral losses, using common algorithms. RESULTS The final ENDB contains about 550-1500 foods depending on the country and 26 common components. Each component value was documented and standardized for unit, mode of expression, definition and chemical method of analysis, as far as possible. Furthermore, the overall completeness of NDSs was improved (>or=99%), particularly for beta-carotene and vitamin E. CONCLUSION The ENDB constitutes a first real attempt to improve the comparability of NDBs across European countries. This methodological work will provide a useful tool for nutritional research as well as end-user recommendations to improve NDBs in the future.
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Affiliation(s)
- N Slimani
- Nutrition and Hormones Group, International Agency for Research on Cancer, Lyon, France.
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González S, Huerta JM, Fernández S, Patterson EM, Lasheras C. Food Intake and Serum Selenium Concentration in Elderly People. ANNALS OF NUTRITION AND METABOLISM 2006; 50:126-31. [PMID: 16391467 DOI: 10.1159/000090633] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2004] [Accepted: 05/03/2005] [Indexed: 11/19/2022]
Abstract
BACKGROUND/AIMS It is becoming apparent that the essential trace element selenium plays a critical role in the maintenance of optimal health status. The objective of this study was to identify the food groups that most contributed to selenium intake and its serum levels in elderly people. METHODS Dietary intake was assessed in 205 institutionalized elderly by means of a 1-year food frequency questionnaire (FFQ). Intake of macronutrients and minerals of the diet were estimated. Selenium was determined in serum and analyzed by graphite-furnace atomic absorption spectrometry. RESULTS Selenium intake and serum concentration were both within the normal range. The major contributors to selenium intake were cereals and bakery, fish and shellfish, meat and meat products and dairy products. All of them except cereals were also associated to serum selenium. Intake of animal protein, but not the vegetable one, contributed to serum selenium. CONCLUSION An adequate intake of fish and meat would be of importance to improve selenium status and health principally in elderly people who are at high risk of mineral deficiency.
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Affiliation(s)
- Sonia González
- Departamento de Biología Funcional, Area de Fisiología, Facultad de Medicina, Universidad de Oviedo, Asturias, Spain
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Merchant AT, Dehghan M. Food composition database development for between country comparisons. Nutr J 2006; 5:2. [PMID: 16423289 PMCID: PMC1388230 DOI: 10.1186/1475-2891-5-2] [Citation(s) in RCA: 67] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2005] [Accepted: 01/19/2006] [Indexed: 11/10/2022] Open
Abstract
Nutritional assessment by diet analysis is a two-stepped process consisting of evaluation of food consumption, and conversion of food into nutrient intake by using a food composition database, which lists the mean nutritional values for a given food portion. Most reports in the literature focus on minimizing errors in estimation of food consumption but the selection of a specific food composition table used in nutrient estimation is also a source of errors. We are conducting a large prospective study internationally and need to compare diet, assessed by food frequency questionnaires, in a comparable manner between different countries. We have prepared a multi-country food composition database for nutrient estimation in all the countries participating in our study. The nutrient database is primarily based on the USDA food composition database, modified appropriately with reference to local food composition tables, and supplemented with recipes of locally eaten mixed dishes. By doing so we have ensured that the units of measurement, method of selection of foods for testing, and assays used for nutrient estimation are consistent and as current as possible, and yet have taken into account some local variations. Using this common metric for nutrient assessment will reduce differential errors in nutrient estimation and improve the validity of between-country comparisons.
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Affiliation(s)
- Anwar T Merchant
- Population Health Research Institute, McMaster University, Hamilton ON, Canada
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton ON, Canada
| | - Mahshid Dehghan
- Population Health Research Institute, McMaster University, Hamilton ON, Canada
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton ON, Canada
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Dehghan M, Al Hamad N, Yusufali A, Nusrath F, Yusuf S, Merchant AT. Development of a semi-quantitative food frequency questionnaire for use in United Arab Emirates and Kuwait based on local foods. Nutr J 2005; 4:18. [PMID: 15921524 PMCID: PMC1166573 DOI: 10.1186/1475-2891-4-18] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2005] [Accepted: 05/27/2005] [Indexed: 11/23/2022] Open
Abstract
Background The Food Frequency Questionnaire (FFQ) is one of the most commonly used tools in epidemiologic studies to assess long-term nutritional exposure. The purpose of this study is to describe the development of a culture specific FFQ for Arab populations in the United Arab Emirates (UAE) and Kuwait. Methods We interviewed samples of Arab populations over 18 years old in UAE and Kuwait assessing their dietary intakes using 24-hour dietary recall. Based on the most commonly reported foods and portion sizes, we constructed a food list with the units of measurement. The food list was converted to a Semi-Quantitative Food Frequency Questionnaire (SFFQ) format following the basic pattern of SFFQ using usual reported portions. The long SFFQ was field-tested, shortened and developed into the final SFFQ. To estimate nutrients from mixed dishes we collected recipes of those mixed dishes that were commonly eaten, and estimated their nutritional content by using nutrient values of the ingredients that took into account method of preparation from the US Department of Agriculture's Food Composition Database. Results The SFFQs consist of 153 and 152 items for UAE and Kuwait, respectively. The participants reported average intakes over the past year. On average the participants reported eating 3.4 servings/d of fruits and 3.1 servings/d of vegetables in UAE versus 2.8 servings/d of fruits and 3.2 servings/d of vegetables in Kuwait. Participants reported eating cereals 4.8 times/d in UAE and 5.3 times/d in Kuwait. The mean intake of dairy products was 2.2/d in UAE and 3.4 among Kuwaiti. Conclusion We have developed SFFQs to measure diet in UAE and Kuwait that will serve the needs of public health researchers and clinicians and are currently validating those instruments.
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Affiliation(s)
- Mahshid Dehghan
- Hamilton General Hospital, Population Health Research Institute, 237 Barton, Street East, Hamilton, ON L8L 2X2, Canada
| | - Nawal Al Hamad
- Administration of Food and Nutrition, Ministry of Health, P.O. Box 42432, Shuwaikh 70655, Kuwait
| | - AfzalHussein Yusufali
- Cardiology & Cardio Thoracic Centre, Dubai Hospital, Department of Health & Medical Services, P.O.Box – 7272, Dubai, UAE
| | - Fathimunissa Nusrath
- Cardiology & Cardio Thoracic Centre, Dubai Hospital, Department of Health & Medical Services, P.O.Box – 7272, Dubai, UAE
| | - Salim Yusuf
- Hamilton General Hospital, Population Health Research Institute, 237 Barton, Street East, Hamilton, ON L8L 2X2, Canada
| | - Anwar T Merchant
- Hamilton General Hospital, Population Health Research Institute, 237 Barton, Street East, Hamilton, ON L8L 2X2, Canada
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