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Hjorth T, Huseinovic E, Hallström E, Strid A, Johansson I, Lindahl B, Sonesson U, Winkvist A. Changes in dietary carbon footprint over ten years relative to individual characteristics and food intake in the Västerbotten Intervention Programme. Sci Rep 2020; 10:20. [PMID: 31913331 PMCID: PMC6949226 DOI: 10.1038/s41598-019-56924-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 12/18/2019] [Indexed: 01/06/2023] Open
Abstract
The objective was to examine 10-year changes in dietary carbon footprint relative to individual characteristics and food intake in the unique longitudinal Västerbotten Intervention Programme, Sweden. Here, 14 591 women and 13 347 men had been followed over time. Food intake was assessed via multiple two study visits 1996–2016, using a 64-item food frequency questionnaire. Greenhouse gas emissions (GHGE) related to food intake, expressed as kg carbon dioxide equivalents/1000 kcal and day, were estimated. Participants were classified into GHGE quintiles within sex and 10-year age group strata at both visits. Women and men changing from lowest to highest GHGE quintile exhibited highest body mass index within their quintiles at first visit, and the largest increase in intake of meat, minced meat, chicken, fish and butter and the largest decrease in intake of potatoes, rice and pasta. Women and men changing from highest to lowest GHGE quintile exhibited basically lowest rates of university degree and marriage and highest rates of smoking within their quintiles at first visit. Among these, both sexes reported the largest decrease in intake of meat, minced meat and milk, and the largest increase in intake of snacks and, for women, sweets. More research is needed on how to motivate dietary modifications to reduce climate impact and support public health.
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Affiliation(s)
- Therese Hjorth
- Department of Internal Medicine and Clinical Nutrition, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Ena Huseinovic
- Department of Internal Medicine and Clinical Nutrition, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Elinor Hallström
- Department of Agrifood and Bioscience, RISE- Research Institutes of Sweden, Gothenburg, Sweden
| | - Anna Strid
- Department of Internal Medicine and Clinical Nutrition, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Bernt Lindahl
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
| | - Ulf Sonesson
- Department of Agrifood and Bioscience, RISE- Research Institutes of Sweden, Gothenburg, Sweden
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. .,Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden.
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Huseinovic E, Hörnell A, Johansson I, Esberg A, Lindahl B, Winkvist A. Changes in food intake patterns during 2000-2007 and 2008-2016 in the population-based Northern Sweden Diet Database. Nutr J 2019; 18:36. [PMID: 31299991 PMCID: PMC6626352 DOI: 10.1186/s12937-019-0464-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 07/04/2019] [Indexed: 02/05/2023] Open
Abstract
Background Food intake patterns provide a summary of dietary intake. Few studies have examined trends in food intake patterns over time in large, population-based studies. We examined food intake patterns and related sociodemographic and individual characteristics in the large Northern Sweden Diet Database during the two time windows 2000–2007 and 2008–2016. Methods In total, 100 507 participants (51% women) who had filled in a 64-item food frequency questionnaire and provided background and sociodemographic data between 2000 and 2016 were included. Food intake patterns were evaluated for women and men separately for the two time windows 2000–2007 and 2008–2016, respectively. Latent class analysis was used to identify distinct, latent clusters based on 40 food groups. Results Among both women and men, a greater proportion of participants were classified into food intake patterns characterized by high-fat spread and high-fat dairy during 2008–2016 compared to 2000–2007. In the earlier time window, these high-fat clusters were related to lower educational level and smoking. Simultaneously, the proportion of women and men classified into a cluster characterized by high intake of fruit, vegetables, and fibre decreased from the earlier to the later time window. Conclusion From a public health perspective, the increase in clusters with a high conditional mean for high-fat spread and high-fat dairy and decrease in clusters with a high conditional mean for fruit and vegetables, during the time period 2008–2016 compared to 2000–2007, is worrisome as it indicates a shift away from the recommended food habits. Subgroups of women and men with less healthy dietary patterns in the time window 2008–2016 with lower education, lower age, higher body mass index, lower levels of physical activity and more smoking were identified and future interventions may be targeted towards these groups. Electronic supplementary material The online version of this article (10.1186/s12937-019-0464-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ena Huseinovic
- Department of Internal Medicine and Clinical Nutrition, the Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden
| | - Agneta Hörnell
- Department of Food and Nutrition, Umeå University, Umeå, Sweden
| | | | - Anders Esberg
- Department of Odontology, Umeå University, Umeå, Sweden
| | - Bernt Lindahl
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, the Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden. .,Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden.
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Huseinovic E, Winkvist A, Freisling H, Slimani N, Boeing H, Buckland G, Schwingshackl L, Olsen A, Tjønneland A, Stepien M, Boutron-Ruault MC, Mancini F, Artaud F, Kühn T, Katzke V, Trichopoulou A, Naska A, Orfanos P, Tumino R, Masala G, Krogh V, Santucci de Magistris M, Ocké MC, Brustad M, Jensen TE, Skeie G, Rodríguez-Barranco M, Huerta JM, Ardanaz E, Quirós JR, Jakszyn P, Sonestedt E, Ericson U, Wennberg M, Key TJ, Aune D, Riboli E, Weiderpass E, Bertéus Forslund H. Timing of eating across ten European countries - results from the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study. Public Health Nutr 2019; 22:324-335. [PMID: 30326988 PMCID: PMC10260579 DOI: 10.1017/s1368980018002288] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 06/08/2018] [Accepted: 08/06/2018] [Indexed: 01/03/2023]
Abstract
OBJECTIVE To examine timing of eating across ten European countries. DESIGN Cross-sectional analysis of the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study using standardized 24 h diet recalls collected during 1995-2000. Eleven predefined food consumption occasions were assessed during the recall interview. We present time of consumption of meals and snacks as well as the later:earlier energy intake ratio, with earlier and later intakes defined as 06.00-14.00 and 15.00-24.00 hours, respectively. Type III tests were used to examine associations of sociodemographic, lifestyle and health variables with timing of energy intake. SETTING Ten Western European countries. SUBJECTS In total, 22 985 women and 13 035 men aged 35-74 years (n 36 020). RESULTS A south-north gradient was observed for timing of eating, with later consumption of meals and snacks in Mediterranean countries compared with Central and Northern European countries. However, the energy load was reversed, with the later:earlier energy intake ratio ranging from 0·68 (France) to 1·39 (Norway) among women, and from 0·71 (Greece) to 1·35 (the Netherlands) among men. Among women, country, age, education, marital status, smoking, day of recall and season were all independently associated with timing of energy intake (all P<0·05). Among men, the corresponding variables were country, age, education, smoking, physical activity, BMI and day of recall (all P<0·05). CONCLUSIONS We found pronounced differences in timing of eating across Europe, with later meal timetables but greater energy load earlier during the day in Mediterranean countries compared with Central and Northern European countries.
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Affiliation(s)
- Ena Huseinovic
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Heinz Freisling
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Nadia Slimani
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | - Genevieve Buckland
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - Lukas Schwingshackl
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Magdalena Stepien
- Nutrition and Metabolism Section, International Agency for Research on Cancer, Lyon, France
| | - Marie-Christine Boutron-Ruault
- Université Paris-Saclay, Université Paris-Sud, UVSQ, CESP, INSERM, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Francesca Mancini
- Université Paris-Saclay, Université Paris-Sud, UVSQ, CESP, INSERM, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Fanny Artaud
- Université Paris-Saclay, Université Paris-Sud, UVSQ, CESP, INSERM, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Tilman Kühn
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Verena Katzke
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Androniki Naska
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Philippos Orfanos
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, ‘Civic – M.P. Arezzo’ Hospital, ASP, Ragusa, Italy
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute – ISPO, Florence, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Marga C Ocké
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | | | | | - Guri Skeie
- UiT The Arctic University of Norway, Tromsø, Norway
| | - Miguel Rodríguez-Barranco
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs. GRANADA, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | | | - Eva Ardanaz
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | | | - Paula Jakszyn
- Unit of Nutrition, Environment and Cancer, L’Hospitallet de Llobregat, Barcelona, Spain
| | - Emily Sonestedt
- Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - Ulrika Ericson
- Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - Maria Wennberg
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, UIT The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center, and Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Heléne Bertéus Forslund
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden
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Hagberg L, Winkvist A, Brekke HK, Bertz F, Hellebö Johansson E, Huseinovic E. Cost-effectiveness and quality of life of a diet intervention postpartum: 2-year results from a randomized controlled trial. BMC Public Health 2019; 19:38. [PMID: 30621673 PMCID: PMC6325882 DOI: 10.1186/s12889-018-6356-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Accepted: 12/21/2018] [Indexed: 12/23/2022] Open
Abstract
Background Pregnancy has been identified as a contributor to obesity. We have shown that a diet intervention postpartum produced a 2-y weight loss of 8%. Here, we present the impact of the diet intervention on cost-effectiveness and explore changes in quality of life (QOL). Methods A total of 110 postpartum women with overweight/obesity were randomly assigned to diet (D-group) or control (C-group). D-group received a 12-wk diet intervention within primary health care followed by monthly emails up to the 1-y follow-up. C-group received a brochure. Changes in QOL were measured using the 36-item Short Form Health Survey and EQ-5D. The analysis of cost-effectiveness was a cost-utility analysis with a health care perspective and included costs of intervention for stakeholder, quality-adjusted life-years (QALYs) gained and savings in health care. The likelihood of cost-effectiveness was examined using the net monetary benefit method. Results The D-group increased their QOL more than the C-group at 12 wk. and 1 y, with pronounced differences for the dimensions general health and mental health, and the mental component summary score (all p < 0.05). Cost per gained QALY was 1704–7889 USD. The likelihood for cost-effectiveness, based on a willingness to pay 50,000 USD per QALY, was 0.77–1.00. Conclusions A diet intervention that produced clinically relevant postpartum weight loss also resulted in increased QOL and was cost-effective. Trial registration Clinical trials, NCT01949558, 2013-09-24
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Affiliation(s)
- Lars Hagberg
- Centre for Health Care Science, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden
| | - Hilde K Brekke
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden.,Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Fredrik Bertz
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden
| | - Else Hellebö Johansson
- Närhälsan, Research and Development Primary Health Care, Region Västra Götaland, Borås, Sweden
| | - Ena Huseinovic
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden.
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5
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Deschasaux M, Huybrechts I, Murphy N, Julia C, Hercberg S, Srour B, Kesse-Guyot E, Latino-Martel P, Biessy C, Casagrande C, Jenab M, Ward H, Weiderpass E, Dahm CC, Overvad K, Kyrø C, Olsen A, Affret A, Boutron-Ruault MC, Mahamat-Saleh Y, Kaaks R, Kühn T, Boeing H, Schwingshackl L, Bamia C, Peppa E, Trichopoulou A, Masala G, Krogh V, Panico S, Tumino R, Sacerdote C, Bueno-de-Mesquita B, Peeters PH, Hjartåker A, Rylander C, Skeie G, Ramón Quirós J, Jakszyn P, Salamanca-Fernández E, Huerta JM, Ardanaz E, Amiano P, Ericson U, Sonestedt E, Huseinovic E, Johansson I, Khaw KT, Wareham N, Bradbury KE, Perez-Cornago A, Tsilidis KK, Ferrari P, Riboli E, Gunter MJ, Touvier M. Nutritional quality of food as represented by the FSAm-NPS nutrient profiling system underlying the Nutri-Score label and cancer risk in Europe: Results from the EPIC prospective cohort study. PLoS Med 2018; 15:e1002651. [PMID: 30226842 PMCID: PMC6143197 DOI: 10.1371/journal.pmed.1002651] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 08/09/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Helping consumers make healthier food choices is a key issue for the prevention of cancer and other diseases. In many countries, political authorities are considering the implementation of a simplified labelling system to reflect the nutritional quality of food products. The Nutri-Score, a five-colour nutrition label, is derived from the Nutrient Profiling System of the British Food Standards Agency (modified version) (FSAm-NPS). How the consumption of foods with high/low FSAm-NPS relates to cancer risk has been studied in national/regional cohorts but has not been characterized in diverse European populations. METHODS AND FINDINGS This prospective analysis included 471,495 adults from the European Prospective Investigation into Cancer and Nutrition (EPIC, 1992-2014, median follow-up: 15.3 y), among whom there were 49,794 incident cancer cases (main locations: breast, n = 12,063; prostate, n = 6,745; colon-rectum, n = 5,806). Usual food intakes were assessed with standardized country-specific diet assessment methods. The FSAm-NPS was calculated for each food/beverage using their 100-g content in energy, sugar, saturated fatty acid, sodium, fibres, proteins, and fruits/vegetables/legumes/nuts. The FSAm-NPS scores of all food items usually consumed by a participant were averaged to obtain the individual FSAm-NPS Dietary Index (DI) scores. Multi-adjusted Cox proportional hazards models were computed. A higher FSAm-NPS DI score, reflecting a lower nutritional quality of the food consumed, was associated with a higher risk of total cancer (HRQ5 versus Q1 = 1.07; 95% CI 1.03-1.10, P-trend < 0.001). Absolute cancer rates in those with high and low (quintiles 5 and 1) FSAm-NPS DI scores were 81.4 and 69.5 cases/10,000 person-years, respectively. Higher FSAm-NPS DI scores were specifically associated with higher risks of cancers of the colon-rectum, upper aerodigestive tract and stomach, lung for men, and liver and postmenopausal breast for women (all P < 0.05). The main study limitation is that it was based on an observational cohort using self-reported dietary data obtained through a single baseline food frequency questionnaire; thus, exposure misclassification and residual confounding cannot be ruled out. CONCLUSIONS In this large multinational European cohort, the consumption of food products with a higher FSAm-NPS score (lower nutritional quality) was associated with a higher risk of cancer. This supports the relevance of the FSAm-NPS as underlying nutrient profiling system for front-of-pack nutrition labels, as well as for other public health nutritional measures.
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Affiliation(s)
- Mélanie Deschasaux
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Cité Epidemiology and Statistics Research Centre (CRESS), Inserm U1153, Inra U1125, Cnam, COMUE Sorbonne Paris Cité, Paris 13 University, Bobigny, France
| | - Inge Huybrechts
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Neil Murphy
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Chantal Julia
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Cité Epidemiology and Statistics Research Centre (CRESS), Inserm U1153, Inra U1125, Cnam, COMUE Sorbonne Paris Cité, Paris 13 University, Bobigny, France
- Department of Public Health, Avicenne Hospital (AP-HP), Bobigny, France
| | - Serge Hercberg
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Cité Epidemiology and Statistics Research Centre (CRESS), Inserm U1153, Inra U1125, Cnam, COMUE Sorbonne Paris Cité, Paris 13 University, Bobigny, France
- Department of Public Health, Avicenne Hospital (AP-HP), Bobigny, France
| | - Bernard Srour
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Cité Epidemiology and Statistics Research Centre (CRESS), Inserm U1153, Inra U1125, Cnam, COMUE Sorbonne Paris Cité, Paris 13 University, Bobigny, France
| | - Emmanuelle Kesse-Guyot
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Cité Epidemiology and Statistics Research Centre (CRESS), Inserm U1153, Inra U1125, Cnam, COMUE Sorbonne Paris Cité, Paris 13 University, Bobigny, France
| | - Paule Latino-Martel
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Cité Epidemiology and Statistics Research Centre (CRESS), Inserm U1153, Inra U1125, Cnam, COMUE Sorbonne Paris Cité, Paris 13 University, Bobigny, France
| | - Carine Biessy
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Corinne Casagrande
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Mazda Jenab
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Heather Ward
- Faculty of Medicine, School of Public Health, Imperial College London, London, United Kingdom
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Centre and Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Christina C. Dahm
- Aarhus University, Department of Public Health, Section for Epidemiology, Aarhus C, Denmark
| | - Kim Overvad
- Aarhus University, Department of Public Health, Section for Epidemiology, Aarhus C, Denmark
| | - Cecilie Kyrø
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Aurélie Affret
- CESP, INSERM U1018, Univ. Paris-Sud, UVSQ, Université Paris-Saclay, Paris, France
- Gustave Roussy, Villejuif, France
| | | | - Yahya Mahamat-Saleh
- CESP, INSERM U1018, Univ. Paris-Sud, UVSQ, Université Paris-Saclay, Paris, France
- Gustave Roussy, Villejuif, France
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition (DIfE), Potsdam-Rehbrücke, Germany
| | - Lukas Schwingshackl
- Department of Epidemiology, German Institute of Human Nutrition (DIfE), Potsdam-Rehbrücke, Germany
| | - Christina Bamia
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute–ISPO, Florence, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Rosario Tumino
- Cancer registry and histopathology unit, "CIVIC-M.P. AREZZO" Hospital, ASP Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Petra H. Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Anette Hjartåker
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Charlotta Rylander
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | | | - Paula Jakszyn
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology, L´Hospitallet de Llobregat, Barcelona, Spain
- Facultat de Ciències de la Salut Blanquerna, Universitat Ramón Llull, Barcelona, Spain
| | - Elena Salamanca-Fernández
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs.GRANADA, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - José María Huerta
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Eva Ardanaz
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Pilar Amiano
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Department of Gipuzkoa, Basque Government, San Sebastian, Spain
| | - Ulrika Ericson
- Diabetes and Cardiovascular disease, Genetic Epidemiology, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Ena Huseinovic
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Kay-Tee Khaw
- University of Cambridge, School of Clinical Medicine, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - Nick Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - Kathryn E. Bradbury
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Konstantinos K. Tsilidis
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Pietro Ferrari
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Elio Riboli
- Faculty of Medicine, School of Public Health, Imperial College London, London, United Kingdom
| | - Marc J. Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Mathilde Touvier
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Cité Epidemiology and Statistics Research Centre (CRESS), Inserm U1153, Inra U1125, Cnam, COMUE Sorbonne Paris Cité, Paris 13 University, Bobigny, France
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6
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Landais E, Moskal A, Mullee A, Nicolas G, Gunter MJ, Huybrechts I, Overvad K, Roswall N, Affret A, Fagherazzi G, Mahamat-Saleh Y, Katzke V, Kühn T, La Vecchia C, Trichopoulou A, Valanou E, Saieva C, Santucci de Magistris M, Sieri S, Braaten T, Skeie G, Weiderpass E, Ardanaz E, Chirlaque MD, Garcia JR, Jakszyn P, Rodríguez-Barranco M, Brunkwall L, Huseinovic E, Nilsson L, Wallström P, Bueno-de-Mesquita B, Peeters PH, Aune D, Key T, Lentjes M, Riboli E, Slimani N, Freisling H. Coffee and Tea Consumption and the Contribution of Their Added Ingredients to Total Energy and Nutrient Intakes in 10 European Countries: Benchmark Data from the Late 1990s. Nutrients 2018; 10:E725. [PMID: 29874819 PMCID: PMC6024313 DOI: 10.3390/nu10060725] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Revised: 05/31/2018] [Accepted: 06/01/2018] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Coffee and tea are among the most commonly consumed nonalcoholic beverages worldwide, but methodological differences in assessing intake often hamper comparisons across populations. We aimed to (i) describe coffee and tea intakes and (ii) assess their contribution to intakes of selected nutrients in adults across 10 European countries. METHOD Between 1995 and 2000, a standardized 24-h dietary recall was conducted among 36,018 men and women from 27 European Prospective Investigation into Cancer and Nutrition (EPIC) study centres. Adjusted arithmetic means of intakes were estimated in grams (=volume) per day by sex and centre. Means of intake across centres were compared by sociodemographic characteristics and lifestyle factors. RESULTS In women, the mean daily intake of coffee ranged from 94 g/day (~0.6 cups) in Greece to 781 g/day (~4.4 cups) in Aarhus (Denmark), and tea from 14 g/day (~0.1 cups) in Navarra (Spain) to 788 g/day (~4.3 cups) in the UK general population. Similar geographical patterns for mean daily intakes of both coffee and tea were observed in men. Current smokers as compared with those who reported never smoking tended to drink on average up to 500 g/day more coffee and tea combined, but with substantial variation across centres. Other individuals' characteristics such as educational attainment or age were less predictive. In all centres, coffee and tea contributed to less than 10% of the energy intake. The greatest contribution to total sugar intakes was observed in Southern European centres (up to ~20%). CONCLUSION Coffee and tea intake and their contribution to energy and sugar intake differed greatly among European adults. Variation in consumption was mostly driven by geographical region.
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Affiliation(s)
- Edwige Landais
- UMR Nutripass, IRD-UM-Sup'Agro, 34394 Montpellier, France.
| | - Aurélie Moskal
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
| | - Amy Mullee
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
- School of Public Health, Physiotherapy and Sports Science, Woodview House, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Geneviève Nicolas
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
| | - Inge Huybrechts
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Bartholins Alle 2, room 2.26, DK-8000 Aarhus, Denmark.
| | - Nina Roswall
- Danish Cancer Society Research Center, Diet, Genes and Environment, Strandboulevarden 49, DK-2100 Copenhagen, Denmark.
| | - Aurélie Affret
- Inserm CESP U1018, Gustave Roussy, Université Paris-Sud, Paris-Saclay, 94800 Villejuif, France.
| | - Guy Fagherazzi
- Inserm CESP U1018, Gustave Roussy, Université Paris-Sud, Paris-Saclay, 94800 Villejuif, France.
| | - Yahya Mahamat-Saleh
- Inserm CESP U1018, Gustave Roussy, Université Paris-Sud, Paris-Saclay, 94800 Villejuif, France.
| | - Verena Katzke
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, 69120 Heidelberg, Germany.
| | - Tilman Kühn
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, 69120 Heidelberg, Germany.
| | - Carlo La Vecchia
- Hellenic Health Foundation, 115 27 Athens, Greece.
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milano, Italy.
| | | | | | - Calogero Saieva
- Molecular and Nutritional Epidemiology Unit, ISPO Cancer Prevention and Research Institute, 50139 Florence, Italy.
| | | | - Sabina Sieri
- Epidemiology and Prevention Unit Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.
| | - Tonje Braaten
- Department of Community Medicine UiT, The Arctic University of Norway, 9037 Tromsø, Norway.
| | - Guri Skeie
- Department of Community Medicine UiT, The Arctic University of Norway, 9037 Tromsø, Norway.
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, 9037 Tromsø, Norway.
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, NO-0304 Oslo, Norway.
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
- Genetic Epidemiology Group, Folkhälsan Research Center and Faculty of Medicine, University of Helsinki, 00014 Helsinkiv, Finland.
| | - Eva Ardanaz
- Navarra Public Health Institute, Pamplona, Spain IdiSNA, Navarra Institute for Health Research, 31003 Pamplona, Spain.
- CIBER Epidemiology and Public Health CIBERESP, 28029 Madrid, Spain.
| | - Maria-Dolores Chirlaque
- CIBER Epidemiology and Public Health CIBERESP, 28029 Madrid, Spain.
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, 30008 Murcia, Spain.
- Department of Health and Social Sciences, Universidad de Murcia, 30008 Murcia, Spain.
| | - Jose Ramon Garcia
- EPIC Asturias, Public Health Directorate, Asturias, 33006 Oviedo, Spain.
| | - Paula Jakszyn
- Unit of Nutrition, Environment and Cancer, Catalan Institute of Oncology, 08908 Barcelona, Spain.
| | - Miguel Rodríguez-Barranco
- CIBER Epidemiology and Public Health CIBERESP, 28029 Madrid, Spain.
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs, 18011 Granada, Spain.
- Hospitales Universitarios de Granada, Universidad de Granada, 18014 Granada, Spain.
| | | | - Ena Huseinovic
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, SE-405 30 Gothenburg, Sweden.
| | - Lena Nilsson
- Public Health and Clinical Medicine, Nutritional Research, Umeå University, and Arctic Research Centre at Umeå University, SE-901 85 Umeå, Sweden.
| | | | - Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London W2 1PG, UK.
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
| | - Petra H Peeters
- University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London W2 1PG, UK.
| | - Tim Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
| | - Marleen Lentjes
- Strangeways Research Laboratories, Department of Public Health & Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London W2 1PG, UK.
| | - Nadia Slimani
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
| | - Heinz Freisling
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 69372 Lyon, France.
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7
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Park MK, Freisling H, Huseinovic E, Winkvist A, Huybrechts I, Crispim SP, de Vries JHM, Geelen A, Niekerk M, van Rossum C, Slimani N. Comparison of meal patterns across five European countries using standardized 24-h recall (GloboDiet) data from the EFCOVAL project. Eur J Nutr 2018; 57:1045-1057. [PMID: 28275868 DOI: 10.1007/s00394-017-1388-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Accepted: 01/25/2017] [Indexed: 01/22/2023]
Abstract
PURPOSE To examine meal patterns in terms of frequency and circadian timing of eating in five European countries participating in the EFCOVAL project. METHODS In this cross-sectional study, 559 men and women, aged 44-65 years, were recruited in Belgium, the Czech Republic, France (Southern part), The Netherlands, and Norway. Dietary data were collected by trained interviewers using standardized computerised 24-h recalls (GloboDiet). Means ± SE of (1) eating frequency, (2) overnight fasting, and (3) time between eating occasions were estimated by country using means from 2 days of 24-h recalls. We also estimated the frequency of eating occasions per hour by country as well as the proportional energy intake of meals/snacks by country compared to the mean energy intake of all countries. RESULTS Mean eating frequency ranged from 4.3 times/day in France to 7.1 times/day in The Netherlands (p < 0.05). Mean overnight fasting was shortest in the Netherlands (9.2 h) and longest in Czech Republic (10.9 h) (p < 0.05). Mean time between single eating occasions was shortest in The Netherlands (2.4 h) and longest in France (4.3 h) (p < 0.05). Different patterns of energy intake by meals and snacks throughout the day were observed across the five countries. CONCLUSIONS We observed distinct differences in meal patterns across the five European countries included in the current study in terms of frequency and circadian timing of eating, and the proportion of energy intake from eating occasions.
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Affiliation(s)
- Min Kyung Park
- International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69372, Lyon, France
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69372, Lyon, France
| | - Ena Huseinovic
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Nutritional Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Inge Huybrechts
- International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69372, Lyon, France
| | - Sandra Patricia Crispim
- Department of Nutrition, Federal University of Parana, Avenida Prefeito Lothário Meissner, 632, Curitiba, Paraná, 80210-170, Brazil
| | - Jeanne H M de Vries
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Anouk Geelen
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Maryse Niekerk
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Caroline van Rossum
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Nadia Slimani
- International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69372, Lyon, France.
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Huseinovic E, Bertz F, Brekke HK, Winkvist A. Two-year follow-up of a postpartum weight loss intervention: Results from a randomized controlled trial. Matern Child Nutr 2017; 14:e12539. [PMID: 28984033 DOI: 10.1111/mcn.12539] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Revised: 07/21/2017] [Accepted: 09/11/2017] [Indexed: 12/31/2022]
Abstract
We recently reported that a 12-week diet intervention among postpartum women produced a weight loss of 12% after 1 year, compared to 5% in controls. Here, we present 2-year results after 1 year of unsupervised follow-up. In total, 110 women with a self-reported body mass index of ≥27 kg/m2 at 6-15-week postpartum were randomized to diet group (D-group) or control group (C-group). D-group received a 12-week diet intervention by a dietitian followed by monthly e-mails up to the 1-year follow-up. C-group received a brochure on healthy eating. No contact was provided from 1 to 2 years to either group. Eighty-nine women (81%) completed the 2-year follow-up. Median (1st; 3rd quartile) weight change from 0 to 2 years was -6.9 (-11.0; -2.2) kg in D-group and -4.3 (-8.7; -0.2) kg in C-group. There was no group by time interaction at 2 years (p = .082); however, when women with a new pregnancy between 1 and 2 years were excluded, the interaction became significant (-8.2 vs. -4.6 kg, p = .038). From 1 to 2 years, women in D- and C-group gained 2.5 ± 5.0 kg and 1.1 ± 4.4 kg, respectively (p = .186). Women who gained weight from 1 to 2 years reported a decrease in self-weighing frequency compared to women who maintained or lost weight (p = .008). Both groups achieved clinically relevant 2-year weight loss, but the significant between-group-difference observed at 1 year was not maintained at 2 years in the main analysis. However, when women with a new pregnancy between 1 and 2 years were excluded, a significant weight loss effect was observed also at 2 years.
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Affiliation(s)
- Ena Huseinovic
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Fredrik Bertz
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Hilde Kristin Brekke
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Huseinovic E, Ohlin M, Winkvist A, Bertz F, Sonesson U, Brekke HK. Does diet intervention in line with nutrition recommendations affect dietary carbon footprint? Results from a weight loss trial among lactating women. Eur J Clin Nutr 2017; 71:1241-1245. [PMID: 28488687 DOI: 10.1038/ejcn.2017.63] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Revised: 03/23/2017] [Accepted: 03/30/2017] [Indexed: 11/09/2022]
Abstract
BACKGROUND/OBJECTIVES Results from studies evaluating the sustainability of diets combining environmental and nutritional aspects have been diverse; thus, greenhouse gas emissions (that is, carbon footprint (CF)) of diets in line with dietary recommendations in free-living individuals warrants further examination. Here, changes in dietary CF related to changes in food choice during a weight loss trial among lactating women who received a 12-week diet intervention based on the Nordic Nutrition Recommendations (NNR) 2004 were analyzed. The objective of this study was to examine if a diet intervention based on NNR 2004 results in reduced dietary CF. SUBJECTS/METHODS Changes in dietary CF were analyzed among 61 lactating women participating in a weight loss trial. Food intake data from 4-day weighed diet records and results from life cycle analyses were used to examine changes in dietary CF across eight food groups during the intervention, specified in the unit carbon dioxide equivalent (CO2eq/day). Differences in changes in dietary CF between women receiving diet treatment (D-group) and women not receiving it (ND-group) were compared. RESULTS There was no difference in change in dietary CF of the overall diet between D- and ND-group (P>0.05). As for the eight food groups, D-group increased their dietary CF from fruit and vegetables (+0.06±0.13 kg CO2eq/day) compared with a decrease in ND-group (-0.01±0.01 kg CO2eq/day) during the intervention, P=0.01. CONCLUSIONS A diet intervention in line with NNR 2004 produced clinically relevant weight loss, but did not reduce dietary CF among lactating women with overweight and obesity. Dietary interventions especially designed to decrease dietary CF and their coherence with dietary recommendations need further exploration.
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Affiliation(s)
- E Huseinovic
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - M Ohlin
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - A Winkvist
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - F Bertz
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - U Sonesson
- Department of Agrifood and Bioscience, RISE- Research Institutes of Sweden, Gothenburg, Sweden
| | - H K Brekke
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
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10
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Huseinovic E, Winkvist A, Slimani N, Park MK, Freisling H, Boeing H, Buckland G, Schwingshackl L, Weiderpass E, Rostgaard-Hansen AL, Tjønneland A, Affret A, Boutron-Ruault MC, Fagherazzi G, Katzke V, Kühn T, Naska A, Orfanos P, Trichopoulou A, Pala V, Palli D, Ricceri F, Santucci de Magistris M, Tumino R, Engeset D, Enget T, Skeie G, Barricarte A, Bonet CB, Chirlaque MD, Amiano P, Quirós JR, Sánchez MJ, Dias JA, Drake I, Wennberg M, Boer JMA, Ocké MC, Verschuren WMM, Lassale C, Perez-Cornago A, Riboli E, Ward H, Forslund HB. Meal patterns across ten European countries - results from the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study. Public Health Nutr 2016; 19:2769-80. [PMID: 27194183 PMCID: PMC10271196 DOI: 10.1017/s1368980016001142] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 03/23/2016] [Accepted: 04/14/2016] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To characterize meal patterns across ten European countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study. DESIGN Cross-sectional study utilizing dietary data collected through a standardized 24 h diet recall during 1995-2000. Eleven predefined intake occasions across a 24 h period were assessed during the interview. In the present descriptive report, meal patterns were analysed in terms of daily number of intake occasions, the proportion reporting each intake occasion and the energy contributions from each intake occasion. SETTING Twenty-seven centres across ten European countries. SUBJECTS Women (64 %) and men (36 %) aged 35-74 years (n 36 020). RESULTS Pronounced differences in meal patterns emerged both across centres within the same country and across different countries, with a trend for fewer intake occasions per day in Mediterranean countries compared with central and northern Europe. Differences were also found for daily energy intake provided by lunch, with 38-43 % for women and 41-45 % for men within Mediterranean countries compared with 16-27 % for women and 20-26 % for men in central and northern European countries. Likewise, a south-north gradient was found for daily energy intake from snacks, with 13-20 % (women) and 10-17 % (men) in Mediterranean countries compared with 24-34 % (women) and 23-35 % (men) in central/northern Europe. CONCLUSIONS We found distinct differences in meal patterns with marked diversity for intake frequency and lunch and snack consumption between Mediterranean and central/northern European countries. Monitoring of meal patterns across various cultures and populations could provide critical context to the research efforts to characterize relationships between dietary intake and health.
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Affiliation(s)
- E Huseinovic
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden
| | - A Winkvist
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - N Slimani
- Dietary Exposure Assessment Group, International Agency for Research on Cancer, Lyon, France
| | - MK Park
- Dietary Exposure Assessment Group, International Agency for Research on Cancer, Lyon, France
| | - H Freisling
- Dietary Exposure Assessment Group, International Agency for Research on Cancer, Lyon, France
| | - H Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | - G Buckland
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - L Schwingshackl
- Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany
| | - E Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway – Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | | | - A Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - A Affret
- Université Paris-Saclay, Université Paris-Sud, UVSQ, CESP, INSERM, Villejuif, France
- Gustave Roussy, Villejuif, France
| | - MC Boutron-Ruault
- Université Paris-Saclay, Université Paris-Sud, UVSQ, CESP, INSERM, Villejuif, France
- Gustave Roussy, Villejuif, France
| | - G Fagherazzi
- Université Paris-Saclay, Université Paris-Sud, UVSQ, CESP, INSERM, Villejuif, France
- Gustave Roussy, Villejuif, France
| | - V Katzke
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - T Kühn
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - A Naska
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - P Orfanos
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - A Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - V Pala
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - D Palli
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute – ISPO, Florence, Italy
| | - F Ricceri
- Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco (TO), Italy
- Unit of Cancer Epidemiology, Department of Medical Sciences, University of Turin, Turin, Italy
| | | | - R Tumino
- Cancer Registry and Histopathology Unit, ‘Civic – M.P. Arezzo’ Hospital, ASP Ragusa, Ragusa, Italy
| | - D Engeset
- Norwegian Food Safety Authority, Head Office, Oslo, Norway
| | - T Enget
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - G Skeie
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - A Barricarte
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - CB Bonet
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - MD Chirlaque
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain
| | - P Amiano
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - JR Quirós
- Public Health Directorate, Asturias, Spain
| | - MJ Sánchez
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.GRANADA, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - JA Dias
- Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - I Drake
- Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden
| | - M Wennberg
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - JMA Boer
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - MC Ocké
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - WMM Verschuren
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - C Lassale
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - A Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - E Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - H Ward
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - H Bertéus Forslund
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Box 459, SE-405 30, Gothenburg, Sweden
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Huseinovic E, Bertz F, Leu Agelii M, Hellebö Johansson E, Winkvist A, Brekke HK. Effectiveness of a weight loss intervention in postpartum women: results from a randomized controlled trial in primary health care. Am J Clin Nutr 2016; 104:362-70. [PMID: 27413127 DOI: 10.3945/ajcn.116.135673] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Accepted: 06/08/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Reproduction has been identified as an important factor for long-term weight gain among women. A previous efficacy trial has successfully produced postpartum weight loss; however, the effectiveness of this intervention needs to be established. OBJECTIVE This study was designed to evaluate the short- and long-term effectiveness of a diet behavior modification treatment to produce weight loss in postpartum women within the primary health care setting in Sweden. DESIGN During 2011-2014, 110 women with a self-reported body mass index (BMI; in kg/m(2)) of ≥27 at 6-15 wk postpartum were randomly assigned to the diet behavior modification group (D group) or the control group (C group). Women randomly assigned to the D group (n = 54) received a structured 12-wk diet behavior modification treatment by a dietitian and were instructed to gradually implement a diet plan based on the Nordic Nutrition Recommendations and to self-weigh ≥3 times/wk. Women randomly assigned to the C group (n = 56) were given a brochure on healthy eating. The primary outcome was change in body weight after 12 wk and 1 y. The retention rate was 91% and 85% at 12 wk and 1 y, respectively. RESULTS At baseline, women had a median (1st, 3rd quartile) BMI of 31.0 (28.8, 33.6), and 84% were breastfeeding. After 12 wk, median weight change in the D group was -6.1 kg (-8.4, -3.2 kg) compared with -1.6 kg (-3.5, -0.4 kg) in the C group (P < 0.001). The difference was maintained at the 1-y follow-up for the D group, -10.0 kg (-11.7, -5.9 kg) compared with -4.3 kg (-10.2, -1.0 kg) in the C group (P = 0.004). In addition, the D group reduced BMI, waist circumference, hip circumference, and body fat percentage more than did the C group at both 12 wk and 1 y (all P < 0.05). CONCLUSION A low-intensity diet treatment delivered by a dietitian within the primary health care setting can produce clinically relevant and sustainable weight loss in postpartum women with overweight and obesity. This trial was registered at clinicaltrials.gov as NCT01949558.
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Affiliation(s)
- Ena Huseinovic
- Department of Internal Medicine and Clinical Nutrition and
| | - Fredrik Bertz
- Department of Internal Medicine and Clinical Nutrition and
| | - Monica Leu Agelii
- Section for Epidemiology and Social Medicine, Department of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Else Hellebö Johansson
- Närhälsan, Research and Development Primary Health Care, Region Västra Götaland, Borås, Sweden; and
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition and
| | - Hilde Kristin Brekke
- Department of Internal Medicine and Clinical Nutrition and Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
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Huseinovic E, Winkvist A, Bertz F, Hellebö Johansson E, Brekke HK. Dietary assessment among women with overweight and obesity in early postpartum. J Hum Nutr Diet 2015; 29:411-7. [PMID: 26696534 DOI: 10.1111/jhn.12350] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND The present study aimed to assess dietary intake and evaluate the degree of agreement of group-level dietary intake as measured by 24-h recall against a 4-day diet record among postpartum women with overweight and obesity. METHODS A cross-sectional study was conducted of 110 Swedish women with a body mass index of ≥27 kg m(-2) at 6-15 weeks postpartum who were recruited to a weight loss trial and randomised to diet intervention or control. One 24-h recall was conducted among all women prior to randomisation. In addition, women subsequently randomised to diet intervention also conducted a 4-day diet record before receiving dietary treatment (n = 54). Paired tests were used to evaluate agreement of group-level dietary intake as measured by 24-h recall against 4-day diet record among women randomised to diet intervention. RESULTS Women reported a median (25th and 75th percentiles) energy intake of 9.1 (6.9, 11.7) MJ day(-1) and an intake of fibre, vitamin D, folate and iron below the recommended intake as assessed by 24-h recall prior to randomisation (n = 110). Group-level median intakes of energy (9.9 versus 10.0 MJ day(-1) ), fibre (21.9 versus 21.3 g day(-1) ), vitamin D (4.8 versus 6.5 μg day(-1) ), folate (296 versus 287 μg day(-1) ), iron (11.0 versus 11.3 mg day(-1) ) and calcium (915 versus 968 mg day(-1) ) did not differ significantly between the methods; however, the record captured a higher energy-adjusted intake of fat, saturated fat and alcohol, as well as a lower intake of carbohydrates, compared to the recall (n = 54). CONCLUSIONS We found no difference in group-level estimates of energy or micronutrients between the recall and the record; however, there were some differences for macronutrients.
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Affiliation(s)
- E Huseinovic
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - A Winkvist
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - F Bertz
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - E Hellebö Johansson
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Närhälsan, Research and Development, Primary Health Care, Region Västra Gätaland, Borås, Sweden
| | - H K Brekke
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Huseinovic E, Winkvist A, Bertz F, Brekke HK. Changes in food choice during a successful weight loss trial in overweight and obese postpartum women. Obesity (Silver Spring) 2014; 22:2517-23. [PMID: 25234605 DOI: 10.1002/oby.20895] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2014] [Accepted: 08/18/2014] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To examine changes in intake across food groups during a weight loss trial that produced significant and sustainable weight loss in lactating women receiving dietary treatment. METHODS At 10-14 wk postpartum, 61 overweight and obese lactating Swedish women were randomized to a 12-wk dietary (D), exercise (E), combined (DE), or control (C) treatment. Food intake was assessed by 4-d weighed diet records which were used to examine changes in intake across seven food groups from baseline to 12 wk and 1 y after randomization. Differences in changes in food choice between women receiving dietary treatment (D+DE) and no dietary treatment (E+C) were examined using multivariate linear regression. RESULTS At baseline, sweets and salty snacks contributed to 21±10 percent of total energy intake (E%). During the intervention period, women receiving dietary treatment reduced their E% from sweets and salty snacks and caloric drinks and increased their E% from vegetables more than did women not receiving dietary treatment (all P < 0.010). At 1 y, the increased E% from vegetables was maintained significantly higher among women receiving dietary treatment (P = 0.002). CONCLUSIONS Lactating women receiving dietary treatment achieved sustainable weight loss through changes in food choice in line with current dietary guidelines.
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Affiliation(s)
- Ena Huseinovic
- Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Huseinovic E, Winkvist A, Bertz F, Brekke H. Dietary changes during a successful weight loss trial in postpartum women (LB314). FASEB J 2014. [DOI: 10.1096/fasebj.28.1_supplement.lb314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Ena Huseinovic
- Department of Internal Medicine and Clinical Nutrition Institute of MedicineUniversity of GothenburgGothenburgSweden
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition Institute of MedicineUniversity of GothenburgGothenburgSweden
| | - Fredrik Bertz
- Department of Nutritional SciencesCornell UniversityIthacaNYUnited States
- Department of Internal Medicine and Clinical Nutrition Institute of MedicineUniversity of GothenburgGothenburgSweden
| | - Hilde Brekke
- Department of Nutritional SciencesCornell UniversityIthacaNYUnited States
- Department of Internal Medicine and Clinical Nutrition Institute of MedicineUniversity of GothenburgGothenburgSweden
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