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Meat Intake, Cooking Methods, Doneness Preferences and Risk of Gastric Adenocarcinoma in the MCC-Spain Study. Nutrients 2022; 14:nu14224852. [PMID: 36432538 PMCID: PMC9695943 DOI: 10.3390/nu14224852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/09/2022] [Accepted: 11/11/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The association of meat intake with gastric adenocarcinoma is controversial. We examined the relation between white, red, and processed meat intake and gastric adenocarcinoma, considering doneness preference and cooking methods, by histological subtype and anatomical subsite. METHODS MCC-Spain is a multicase-control study that included 286 incident gastric adenocarcinoma cases and 2993 controls who answered a food-frequency questionnaire. The association of gastric adenocarcinoma with meat intake, doneness preference and cooking methods was assessed using binary multivariate logistic regression mixed models and a possible interaction with sex was considered. Multinomial logistic regression models were used to estimate risk by tumor subsite (cardia vs. non-cardia) and subtype (intestinal vs. diffuse). Sensitivity analyses were conducted comparing models with and without data on Helicobacter pylori infection. RESULTS The intake of red and processed meat increased gastric adenocarcinoma risk (OR for one serving/week increase (95% CI) = 1.11 (1.02;1.20) and 1.04 (1.00;1.08), respectively), specifically among men and for non-cardia and intestinal gastric adenocarcinoma. Those who consume well done white or red meat showed higher risk of non-cardia (white: RRR = 1.57 (1.14;2.16); red: RRR = 1.42 (1.00;2.02)) and intestinal tumors (white: RRR = 1.69 (1.10;2.59); red: RRR = 1.61 (1.02;2.53)) than those with a preference for rare/medium doneness. Stewing and griddling/barbequing red and white meat, and oven baking white meat, seemed to be the cooking methods with the greatest effect over gastric adenocarcinoma. The reported associations remained similar after considering Helicobacter pylori seropositivity. CONCLUSIONS Reducing red and processed meat intake could decrease gastric adenocarcinoma risk, especially for intestinal and non-cardia tumors. Meat cooking practices could modify the risk of some gastric cancer subtypes.
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Consumption of Ultra-Processed Food and Drinks and Chronic Lymphocytic Leukemia in the MCC-Spain Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18105457. [PMID: 34065213 PMCID: PMC8160774 DOI: 10.3390/ijerph18105457] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/13/2021] [Accepted: 05/18/2021] [Indexed: 01/30/2023]
Abstract
Chronic lymphocytic leukemia (CLL) is the most common leukemia in adults in Western countries. Its etiology is largely unknown but increasing incidence rates observed worldwide suggest that lifestyle and environmental factors such as diet might play a role in the development of CLL. Hence, we hypothesized that the consumption of ultra-processed food and drinks (UPF) might be associated with CLL. Data from a Spanish population-based case-control study (MCC-Spain study) including 230 CLL cases (recruited within three years of diagnosis) and 1634 population-based controls were used. The usual diet during the previous year was collected through a validated food frequency questionnaire and food and drink consumption was categorized using the NOVA classification scheme. Logistic regression models adjusted for potential confounders were used. Overall, no association was reported between the consumption of UPF and CLL cases (OR per each 10% increase of the relative contribution of UPF to total dietary intake = 1.09 (95% CI: 0.94; 1.25)), independently of the Rai stage at diagnosis. However, when analyses were restricted to cases diagnosed within <1 year (incident), each 10% increment in the consumption of UPF was associated with a 22% higher odds ratio of CLL (95% CI: 1.02, 1.47) suggesting that the overall results might be affected by the inclusion of prevalent cases, who might have changed their dietary habits after cancer diagnosis. Given the low number of cases in the subgroup analyses and multiple tests performed, chance findings cannot totally be ruled out. Nonetheless, positive associations found in CLL incident cases merit further research, ideally in well-powered studies with a prospective design.
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Romaguera D, Fernández-Barrés S, Gracia-Lavedán E, Vendrell E, Azpiri M, Ruiz-Moreno E, Martín V, Gómez-Acebo I, Obón M, Molinuevo A, Fresán U, Molina-Barceló A, Olmedo-Requena R, Tardón A, Alguacil J, Solans M, Huerta JM, Ruiz-Dominguez JM, Aragonés N, Fernández-Villa T, Dierssen-Sotos T, Moreno V, Guevara M, Vanaclocha-Espi M, Lozano-Lorca M, Fernández-Tardón G, Castaño-Vinyals G, Pérez-Gómez B, Molina AJ, Llorca J, Gil L, Castilla J, Pollán M, Kogevinas M, Amiano P. Consumption of ultra-processed foods and drinks and colorectal, breast, and prostate cancer. Clin Nutr 2021; 40:1537-1545. [PMID: 33743289 DOI: 10.1016/j.clnu.2021.02.033] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 02/12/2021] [Accepted: 02/14/2021] [Indexed: 12/11/2022]
Abstract
AIMS To study whether the consumption of ultra-processed foods and drinks is associated with breast, colorectal, and prostate cancers. METHODS Multicentric population-based case-control study (MCC-Spain) conducted in 12 Spanish provinces. Participants were men and women between 20 and 85 years of age with diagnoses of colorectal (n = 1852), breast (n = 1486), or prostate cancer (n = 953), and population-based controls (n = 3543) frequency-matched by age, sex, and region. Dietary intake was collected using a validated food frequency questionnaire. Foods and drinks were categorized according to their degree of processing based on the NOVA classification. Unconditional multivariable logistic regression was used to evaluate the association between ultra-processed food and drink consumption and colorectal, breast, and prostate cancer. RESULTS In multiple adjusted models, consumption of ultra-processed foods and drinks was associated with a higher risk of colorectal cancer (OR for a 10% increase in consumption: 1.11; 95% CI 1.04-1.18). The corresponding odds for breast (OR 1.03; 95% CI 0.96-1.11) and prostate cancer (OR 1.02; 95% CI 0.93-1.12) were indicative of no association. CONCLUSIONS Results of this large population-based case-control study suggest an association between the consumption of ultra-processed foods and drinks and colorectal cancer. Food policy and public health should include a focus on food processing when formulating dietary guidelines.
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Affiliation(s)
- Dora Romaguera
- Instituto de Salud Global de Barcelona (ISGlobal), Barcelona, Spain; Instituto de Investigación Sanitaria Illes Balears (IdISBa), Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Spain.
| | - Sílvia Fernández-Barrés
- Instituto de Salud Global de Barcelona (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
| | - Esther Gracia-Lavedán
- Instituto de Salud Global de Barcelona (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
| | - Eva Vendrell
- Faculty of Health Sciences, Universitat Oberta de Catalunya (Open University of Catalonia, UOC), 08018, Barcelona, Spain.
| | - Mikel Azpiri
- Public Health Division of Gipuzkoa, Biodonostia Research Institute, San Sebastian, Spain.
| | - Emma Ruiz-Moreno
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Cancer & Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain.
| | - Vicente Martín
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; The Research Group in Gene - Environment and Health Interactions (GIIGAS)/Institut of Biomedicine (IBIOMED), Universidad de León, León, Spain; Faculty of Health Sciences, Department of Biomedical Sciences, Area of Preventive Medicine and Public Health, Universidad de León, Spain.
| | - Inés Gómez-Acebo
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Universidad de Cantabria - IDIVAL, Santander, Spain.
| | - Mireia Obón
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain; Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.
| | - Amaia Molinuevo
- Public Health Division of Gipuzkoa, Biodonostia Research Institute, San Sebastian, Spain.
| | - Ujué Fresán
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Navarra Public Health Institute, Pamplona, Spain.
| | - Ana Molina-Barceló
- Cancer and Public Health Area, FISABIO - Public Health, Valencia, Spain.
| | - Rocío Olmedo-Requena
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Department of Preventive Medicine and Public Health, School of Medicine, University of Granada, Spain; Instituto de Investigación Biosanitaria de Granada ibs.GRANADA, Spain.
| | - Adonina Tardón
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Department of Medicine, University of Oviedo, Oviedo, Spain.
| | - Juan Alguacil
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Centro de Investigación en Recursos Naturales, Salud y Medio Ambiente (RENSMA), Universidad de Huelva, Huelva, Spain.
| | - Marta Solans
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona, Spain.
| | - Jose M Huerta
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain.
| | | | - Nuria Aragonés
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Epidemiology Section, Public Health Division, Department of Health, Madrid, Spain.
| | - Tania Fernández-Villa
- The Research Group in Gene - Environment and Health Interactions (GIIGAS)/Institut of Biomedicine (IBIOMED), Universidad de León, León, Spain; Faculty of Health Sciences, Department of Biomedical Sciences, Area of Preventive Medicine and Public Health, Universidad de León, Spain.
| | - Trinidad Dierssen-Sotos
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Universidad de Cantabria - IDIVAL, Santander, Spain.
| | - Victor Moreno
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain; Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain.
| | - Marcela Guevara
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Navarra Public Health Institute, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain.
| | | | - Macarena Lozano-Lorca
- Department of Preventive Medicine and Public Health, School of Medicine, University of Granada, Spain.
| | - Guillermo Fernández-Tardón
- Department of Medicine, University of Oviedo, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Spain.
| | - Gemma Castaño-Vinyals
- Instituto de Salud Global de Barcelona (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
| | - Beatriz Pérez-Gómez
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Cancer & Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain.
| | - Antonio J Molina
- The Research Group in Gene - Environment and Health Interactions (GIIGAS)/Institut of Biomedicine (IBIOMED), Universidad de León, León, Spain; Faculty of Health Sciences, Department of Biomedical Sciences, Area of Preventive Medicine and Public Health, Universidad de León, Spain.
| | - Javier Llorca
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Universidad de Cantabria - IDIVAL, Santander, Spain.
| | - Leire Gil
- Public Health Division of Gipuzkoa, Biodonostia Research Institute, San Sebastian, Spain.
| | - Jesús Castilla
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Navarra Public Health Institute, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain.
| | - Marina Pollán
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Cancer & Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain.
| | - Manolis Kogevinas
- Instituto de Salud Global de Barcelona (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Public Health Division of Gipuzkoa, Biodonostia Research Institute, San Sebastian, Spain.
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Dietary Constituents: Relationship with Breast Cancer Prognostic (MCC-SPAIN Follow-Up). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 18:ijerph18010084. [PMID: 33374289 PMCID: PMC7794807 DOI: 10.3390/ijerph18010084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 12/20/2020] [Accepted: 12/21/2020] [Indexed: 12/21/2022]
Abstract
The aim of this study was to characterize the relationship between the intake of the major nutrients and prognosis in breast cancer. A cohort based on 1350 women with invasive (stage I-IV) breast cancer (BC) was followed up. Information about their dietary habits before diagnosis was collected using a semi-quantitative Food Frequency Questionnaire. Participants without FFQ or with implausible energy intake were excluded. The total amount consumed of each nutrient (Kcal/day) was divided into tertiles, considering as “high intakes” those above third tertile. The main effect studied was overall survival. Cox regression was used to assess the association between death and nutrient intake. During a median follow-up of 6.5 years, 171 deaths were observed. None of the nutrients analysed was associated with mortality in the whole sample. However, in normal-weight women (BMI 18.5–25 kg/m2) a high intake of carbohydrates (≥809 Kcal/day), specifically monosaccharides (≥468 Kcal/day), worsened prognostic compared to lowest (≤352 Kcal/day). Hazard Ratios (HRs) for increasing tertiles of intake were HR:2.22 95% CI (1.04 to 4.72) and HR:2.59 95% CI (1.04 to 6.48), respectively (p trend = 0.04)). Conversely, high intakes of polyunsaturated fats (≥135 Kcal/day) improved global survival (HR: 0.39 95% CI (0.15 to 1.02) p-trend = 0.05) compared to the lowest (≤92.8 kcal/day). In addition, a protective effect was found substituting 100 kcal of carbohydrates with 100 kcal of fats in normal-weight women (HR: 0.76 95% CI (0.59 to 0.98)). Likewise, in premenopausal women a high intake of fats (≥811 Kcal/day) showed a protective effect (HR:0.20 95% CI (0.04 to 0.98) p trend = 0.06). Finally, in Estrogen Receptors (ER) negative tumors, we found a protective effect of high intake of animal proteins (≥238 Kcal/day, HR: 0.24 95% CI (0.06 to 0.98). According to our results, menopausal status, BMI and ER status could play a role in the relationship between diet and BC survival and must be taken into account when studying the influence of different nutrients.
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Changes in dietary patterns when females engage in a weight management programme and their ability to meet Scientific Advisory Committee on Nutrition’s fibre and sugar recommendations. Public Health Nutr 2020; 23:2189-2198. [DOI: 10.1017/s1368980019004762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
AbstractObjective:To investigate how dietary patterns (DP) change following engagement in a weight management programme. Using the DP identified, to study their relationship with weight loss achieved and ability to meet the Scientific Advisory Committee on Nutrition’s 2015 fibre and sugar recommendations.Design:Secondary analysis of FFQ data, which collected dietary information at two time points: retrospectively before (T0) and presently during (T1) Slimming World’s programme, was analysed. Principal component analysis derived the DP present.Setting:Online FFQ, hosted by Slimming World (SW) in the UK.Participants:Female SW members (n 325; 17–68 years old).Results:At T0, two DP, ‘plant based’ and ‘processed meat and sugar added by the consumer’ were identified. At T1, three DP were identified, ‘high meat’, ‘high fat salt and sugar (HFSS) products’ and ‘nuts and oils’. Participants with a diet low in ‘HFSS products’ lost significantly more weight (P for trend = 0·001), were more likely to consume breakfast (P = 0·021) and consumed less free sugar compared with high ‘HFSS product’ consumers. Those initially presenting with a low ‘plant based’ diet score lost more weight at T1 (P for trend = 0·046). With engagement, mean fibre intake increased from 24·3 to 32·4 g/d (P < 0·001) and free sugar intake decreased from 12·6 to 8·7 % total dietary energy (P < 0·001).Conclusions:An individual’s DP before and with engagement in a weight management programme may indicate their weight loss success. Advising reduced HFSS product intake may aid initial weight loss. SW appears to promote dietary changes towards UK fibre and sugar recommendations.
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Vitelli-Storelli F, Zamora-Ros R, Molina AJ, Fernández-Villa T, Castelló A, Barrio JP, Amiano P, Ardanaz E, Obón-Santacana M, Gómez-Acebo I, Fernández-Tardón G, Molina-Barceló A, Alguacil J, Marcos-Gragera R, Ruiz-Moreno E, Pedraza M, Gil L, Guevara M, Castaño-Vinyals G, Dierssen-Sotos T, Kogevinas M, Aragonés N, Martín V. Association between Polyphenol Intake and Breast Cancer Risk by Menopausal and Hormone Receptor Status. Nutrients 2020; 12:nu12040994. [PMID: 32260135 PMCID: PMC7231201 DOI: 10.3390/nu12040994] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 03/27/2020] [Accepted: 04/02/2020] [Indexed: 12/24/2022] Open
Abstract
There is limited evidence of phenolic compounds acting as protective agents on several cancer types, including breast cancer (BC). Nevertheless, some polyphenol classes have not been investigated and there is a lack of studies assessing the effect on menopausal status and hormone receptor status as influenced by these compounds. The objective of this study is to evaluate the association between the intake of all polyphenol classes in relation to the BC risk by menopausal and hormone receptor status. We used data from a population-based multi-case-control study (MCC-Spain) including 1472 BC cases and 1577 controls from 12 different regions of Spain. The odds ratios (ORs) with 95% CI were calculated using logistic regression of mixed effects by quartiles and log2 of polyphenol intakes (adjusted for the residual method) of overall BC, menopausal and receptor status. No associations were found between total intake of polyphenols and BC risk. However, inverse associations were found between stilbenes and all BC risk (ORQ4 vs. Q1: 0.70, 95%CI: 0.56–0.89, Ptrend = 0.001), the consumption of hydroxybenzaldehydes (ORQ4 vs. Q1: 0.75, 95%CI: 0.59–0.93, Ptrend = 0.012) and hydroxycoumarins (ORQ4 vs. Q1: 0.73, 95%CI: 0.57–0.93; Ptrend = 0.005) were also inversely associated. The intake of stilbenes, hydroxybenzaldehydes and hydroxycoumarins can contribute to BC reduction risk on all menopausal and receptor statuses.
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Affiliation(s)
- Facundo Vitelli-Storelli
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS)/Institute of Biomedicine (IBIOMED), Universidad de León, 24071 León, Spain; (F.V.-S.); (A.J.M.); (T.F.-V.); (J.P.B.); (V.M.)
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet del Llobregat, 08908 Barcelona, Spain
- Correspondence: ; Tel.: +34-932607401
| | - Antonio J. Molina
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS)/Institute of Biomedicine (IBIOMED), Universidad de León, 24071 León, Spain; (F.V.-S.); (A.J.M.); (T.F.-V.); (J.P.B.); (V.M.)
| | - Tania Fernández-Villa
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS)/Institute of Biomedicine (IBIOMED), Universidad de León, 24071 León, Spain; (F.V.-S.); (A.J.M.); (T.F.-V.); (J.P.B.); (V.M.)
| | - Adela Castelló
- School of Medicine, University of Alcalá, 28871 Alcalá de Henares, Madrid, Spain;
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
| | - Juan Pablo Barrio
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS)/Institute of Biomedicine (IBIOMED), Universidad de León, 24071 León, Spain; (F.V.-S.); (A.J.M.); (T.F.-V.); (J.P.B.); (V.M.)
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, 20014 San Sebastian, Spain
| | - Eva Ardanaz
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
- Public Health Institute of Navarra, IdiSNA, 31003 Pamplona, Spain
| | - Mireia Obón-Santacana
- Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L’Hospitalet del Llobregat, 08908 Barcelona, Spain;
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, 08908 Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
| | - Inés Gómez-Acebo
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
| | - Guillermo Fernández-Tardón
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
- Oncology Institute, University of Oviedo, 33003 Oviedo, Spain
| | - Ana Molina-Barceló
- Cancer and Public Health Area, FISABIO—Public Health, 46035 Valencia, Spain;
| | - Juan Alguacil
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
- Centro de Investigación en Salud y Medio Ambiente (CYSMA), Universidad de Huelva, Campus Universitario de El Carmen, 21071 Huelva, Spain
| | - Rafael Marcos-Gragera
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
- Catalan Institute of Oncology, Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, 17007 Girona, Spain
- Descriptive Epidemiology, Genetics and Cancer Prevention Group, Biomedical Research Institute (IDIBGI), 17090 Girona, Spain
- Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17004 Girona, Spain
| | - Emma Ruiz-Moreno
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
- National Center for Epidemiology, Carlos III Institute of Health, 20014 San Sebastián, Spain
| | - Manuela Pedraza
- Department of Oncology, Complejo Asistencial Universitario de León, 24071 León, Spain;
| | - Leire Gil
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
- Biodonostia Health Research Institute, 20013 San Sebastian, Spain
| | - Marcela Guevara
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
- Public Health Institute of Navarra, IdiSNA, 31003 Pamplona, Spain
| | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
- ISGlobal, Barcelona, 08036 Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Campus del Mar, 08003 Barcelona, Spain
| | - Trinidad Dierssen-Sotos
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
- Universidad de Cantabria—IDIVAL, 39011 Santander, Spain
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
- ISGlobal, Barcelona, 08036 Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Campus del Mar, 08003 Barcelona, Spain
| | - Nuria Aragonés
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
- Epidemiology Section, Public Health Division, Department of Health of Madrid, 28035 Madrid, Spain
| | - Vicente Martín
- Group of Investigation in Interactions Gene-Environment and Health (GIIGAS)/Institute of Biomedicine (IBIOMED), Universidad de León, 24071 León, Spain; (F.V.-S.); (A.J.M.); (T.F.-V.); (J.P.B.); (V.M.)
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública—CIBERESP), 28029 Madrid, Spain; (P.A.); (E.A.); (I.G.-A.);
(G.F.-T.); (J.A.); (R.M.-G.); (E.R.-M.); (L.G.); (M.G.); (G.C.-V.); (T.D.-S.); (M.K.); (N.A.)
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7
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A comparison of the effect of a Growing Up Milk - Lite (GUMLi) v. cows' milk on longitudinal dietary patterns and nutrient intakes in children aged 12-23 months: the GUMLi randomised controlled trial. Br J Nutr 2020; 121:678-687. [PMID: 30912737 DOI: 10.1017/s0007114518003847] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The second year of life is a period of nutritional vulnerability. We aimed to investigate the dietary patterns and nutrient intakes from 1 to 2 years of age during the 12-month follow-up period of the Growing Up Milk - Lite (GUMLi) trial. The GUMLi trial was a multi-centre, double-blinded, randomised controlled trial of 160 healthy 1-year-old children in Auckland, New Zealand and Brisbane, Australia. Dietary intakes were collected at baseline, 3, 6, 9 and 12 months post-randomisation, using a validated FFQ. Dietary patterns were identified using principal component analysis of the frequency of food item consumption per d. The effect of the intervention on dietary patterns and intake of eleven nutrients over the duration of the trial were investigated using random effects mixed models. A total of three dietary patterns were identified at baseline: 'junk/snack foods', 'healthy/guideline foods' and 'breast milk/formula'. A significant group difference was observed in 'breast milk/formula' dietary pattern z scores at 12 months post-randomisation, where those in the GUMLi group loaded more positively on this pattern, suggesting more frequent consumption of breast milk. No difference was seen in the other two dietary patterns. Significant intervention effects were seen on nutrient intake between the GUMLi (intervention) and cows' milk (control) groups, with lower protein and vitamin B12, and higher Fe, vitamin D, vitamin C and Zn intake in the GUMLi (intervention) group. The consumption of GUMLi did not affect dietary patterns, however, GUMLi participants had lower protein intake and higher Fe, vitamins D and C and Zn intake at 2 years of age.
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8
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Flores JC, Gracia-Lavedan E, Benavente Y, Amiano P, Romaguera D, Costas L, Robles C, Gonzalez-Barca E, de la Banda E, Alonso E, Aymerich M, Campo E, Dierssen-Sotos T, Marcos-Gragera R, Rodriguez-Suarez MM, Solans M, Gimeno E, Garcia Martin P, Aragones N, Shivappa N, Hébert JR, Pollan M, Kogevinas M, de Sanjose S, Castaño-Vinyals G, Casabonne D. The Dietary Inflammatory Index and Chronic Lymphocytic Leukaemia in the MCC Spain Study. Nutrients 2019; 12:E48. [PMID: 31878004 PMCID: PMC7019557 DOI: 10.3390/nu12010048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 12/09/2019] [Accepted: 12/09/2019] [Indexed: 12/17/2022] Open
Abstract
Chronic inflammation plays a role in the development of chronic lymphocytic leukaemia (CLL), and diet might modulate chronic inflammation. This study aims to evaluate the association between the dietary inflammatory index (DII®) and CLL. A total of 366 CLL cases and 1643 controls of the Spanish multicase-control (MCC) Spain study were included. The inflammatory potential of the diet was assessed using the energy-adjusted dietary inflammatory index (E-DII) based on 30 items from a validated semi-quantitative food frequency questionnaire. Odds ratios (OR) and 95% confidence intervals (CI) were estimated using logistic regression models controlling for potential confounders. Overall, a modest, non-statistically significant, positive association was observed between CLL and E-DII scores (OR for a one-unit increase in E-DII: 1.05 (CI 95%: 0.99, 1.12), p-value = 0.09 and by tertiles: ORT2vsT1: 1.20 (CI 95%: 0.90, 1.59); OR T3vsT1: 1.21 (CI 95%: 0.90, 1.62), p trend = 0.21). These results were independent from disease severity (p-het: 0.70), time from diagnosis (p-het: 0.67) and CLL treatment received (p-het: 0.56). No interactions were detected. In conclusion, the consumption of a diet with high pro-inflammatory components was not significantly associated with CLL. Changes towards a more pro-inflammatory dietary pattern in younger generations not included here warrant future research.
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Grants
- the Spanish Ministry of Economy and Competitiveness,cofunded by FEDER funds/ European Regional Development Fund (ERDF) - a way to build Europe (grants PI17/01280, PI11/01810, PI14/01219, PI11/02213, PI09/1662, PI15/00966) Instituto de Salud Carlos III
- the Spanish Ministry of Economy and Competitiveness,cofunded by FEDER funds/ European Regional Development Fund (ERDF) - a way to build Europe (grants RCESP C03/09, RTICESP C03/10, RTIC RD06/0020/0095, RD12/0036/0056) Instituto de Salud Carlos III
- the Spanish Ministry of Economy and Competitiveness,cofunded by FEDER funds/ European Regional Development Fund (ERDF) - a way to build Europe (grants Rio Hortega CM13/00232, Juan de la Cierva de Incorporacion IJCI-2016-29502 and SV-09-CLINIC-1) Instituto de Salud Carlos III
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP, Spain) Instituto de Salud Carlos III
- Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR), CERCA Programme / Generalitat de Catalunya for institutional support (2017SGR1085) Agència de Gestió d'Ajuts Universitaris i de Recerca
- FEDER European Regional Development Fund
- MINECO) through the Instituto de Salud Carlos III (ISCIII), PMP15/00007 which is part of Plan Nacional de I+D+I and is co-financed by the ISCIII-Sub-Directorate General for Evaluation and FEDER Instituto de Salud Carlos III
- NA Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición
- NA Centro de Investigación Biomédica en Red de Cáncer,
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Affiliation(s)
- José Carlos Flores
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08002, Spain; (J.C.F.); (E.G.-L.); (M.K.)
| | - Esther Gracia-Lavedan
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08002, Spain; (J.C.F.); (E.G.-L.); (M.K.)
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid 28029, Spain; (Y.B.); (P.A.); (T.D.-S.); (R.M.-G.); (M.S.); (N.A.); (M.P.); (S.d.S.)
- Instituto de Salud Global de Barcelona (ISGlobal), Barcelona 08003, Spain;
| | - Yolanda Benavente
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid 28029, Spain; (Y.B.); (P.A.); (T.D.-S.); (R.M.-G.); (M.S.); (N.A.); (M.P.); (S.d.S.)
- Unit of Molecular Epidemiology and Genetic in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme (IDIBELL), Catalan Institute of Oncology, L’Hospitalet de Llobregat 08908, Spain;
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid 28029, Spain; (Y.B.); (P.A.); (T.D.-S.); (R.M.-G.); (M.S.); (N.A.); (M.P.); (S.d.S.)
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian 20014, Spain
| | - Dora Romaguera
- Instituto de Salud Global de Barcelona (ISGlobal), Barcelona 08003, Spain;
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma 07120, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Madrid 28029, Spain
| | - Laura Costas
- Unit of Molecular Epidemiology and Genetic in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme (IDIBELL), Catalan Institute of Oncology, L’Hospitalet de Llobregat 08908, Spain;
| | - Claudia Robles
- Unit of Information and Interventions in Infections and Cancer (UNIC-I&I), Cancer Epidemiology Research Programme, (IDIBELL), Catalan Institute of Oncology, L’Hospitalet de Llobregat 08908, Spain;
| | - Eva Gonzalez-Barca
- Haematology, Bellvitge Biomedical Research Institute (IDIBELL), Catalan Institute of Oncology, L’Hospitalet de Llobregat 08908, Spain;
| | - Esmeralda de la Banda
- Haematology Laboratory, Department of Pathology, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat 08908, Spain; (E.d.l.B.); (E.A.)
| | - Esther Alonso
- Haematology Laboratory, Department of Pathology, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat 08908, Spain; (E.d.l.B.); (E.A.)
| | - Marta Aymerich
- Hematopathology Unit, Department of Pathology, Hospital Clínic, (IDIBAPS), Barcelona 08036, Spain; (M.A.); (E.C.)
| | - Elias Campo
- Hematopathology Unit, Department of Pathology, Hospital Clínic, (IDIBAPS), Barcelona 08036, Spain; (M.A.); (E.C.)
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos III (ISCIII), Madrid 28029, Spain
| | - Trinidad Dierssen-Sotos
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid 28029, Spain; (Y.B.); (P.A.); (T.D.-S.); (R.M.-G.); (M.S.); (N.A.); (M.P.); (S.d.S.)
- Marqués de Valdecilla Research Institute (IDIVAL), University of Cantabria, Santander 39011, Spain
| | - Rafael Marcos-Gragera
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid 28029, Spain; (Y.B.); (P.A.); (T.D.-S.); (R.M.-G.); (M.S.); (N.A.); (M.P.); (S.d.S.)
- Research group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona 17071, Spain
- Epidemiology Unit and Girona Cancer Registry, Catalan Institute of Oncology, Girona 17007, Spain
| | - Marta María Rodriguez-Suarez
- Universidad de Oviedo, área de medicina Preventiva y Salud Pública, Oviedo 33003, Spain;
- Hospital Universitario Central de Asturias (HUCA), Oviedo 33011, Spain
- IUOPA: Instituto de Oncología de Asturias (IUOPA), Oviedo 33003, Spain
| | - Marta Solans
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid 28029, Spain; (Y.B.); (P.A.); (T.D.-S.); (R.M.-G.); (M.S.); (N.A.); (M.P.); (S.d.S.)
- Research group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona 17071, Spain
- Epidemiology Unit and Girona Cancer Registry, Catalan Institute of Oncology, Girona 17007, Spain
| | - Eva Gimeno
- Haematology Department, Hospital del Mar, Barcelona 08003, Spain;
| | - Paloma Garcia Martin
- Unidad de Gestión Clínica de Hematología. Hospital Universitario San Cecilio PTS de Granada, Granada 18016, Spain;
| | - Nuria Aragones
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid 28029, Spain; (Y.B.); (P.A.); (T.D.-S.); (R.M.-G.); (M.S.); (N.A.); (M.P.); (S.d.S.)
- Epidemiology Section, Public Health Division, Department of Health of Madrid, Madrid 28035, Spain
| | - Nitin Shivappa
- Cancer Prevention and Control Program, University of South Carolina, Columbia, SC 29208, USA; (N.S.); (J.R.H.)
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
- Department of Nutrition, Connecting Health Innovations LLC (CHI), Columbia, SC 29201, USA
| | - James R. Hébert
- Cancer Prevention and Control Program, University of South Carolina, Columbia, SC 29208, USA; (N.S.); (J.R.H.)
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
- Department of Nutrition, Connecting Health Innovations LLC (CHI), Columbia, SC 29201, USA
| | - Marina Pollan
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid 28029, Spain; (Y.B.); (P.A.); (T.D.-S.); (R.M.-G.); (M.S.); (N.A.); (M.P.); (S.d.S.)
- Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Madrid 28029, Spain
| | - Manolis Kogevinas
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08002, Spain; (J.C.F.); (E.G.-L.); (M.K.)
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid 28029, Spain; (Y.B.); (P.A.); (T.D.-S.); (R.M.-G.); (M.S.); (N.A.); (M.P.); (S.d.S.)
- Instituto de Salud Global de Barcelona (ISGlobal), Barcelona 08003, Spain;
- Hospital del Mar Medical Research Institute (IMIM), Barcelona 08003, Spain
| | - Silvia de Sanjose
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid 28029, Spain; (Y.B.); (P.A.); (T.D.-S.); (R.M.-G.); (M.S.); (N.A.); (M.P.); (S.d.S.)
- Unit of Molecular Epidemiology and Genetic in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme (IDIBELL), Catalan Institute of Oncology, L’Hospitalet de Llobregat 08908, Spain;
- PATH, Sexual and Reproductive Health, Seattle, WA 98121, USA
| | - Gemma Castaño-Vinyals
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona 08002, Spain; (J.C.F.); (E.G.-L.); (M.K.)
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid 28029, Spain; (Y.B.); (P.A.); (T.D.-S.); (R.M.-G.); (M.S.); (N.A.); (M.P.); (S.d.S.)
- Instituto de Salud Global de Barcelona (ISGlobal), Barcelona 08003, Spain;
- Hospital del Mar Medical Research Institute (IMIM), Barcelona 08003, Spain
| | - Delphine Casabonne
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid 28029, Spain; (Y.B.); (P.A.); (T.D.-S.); (R.M.-G.); (M.S.); (N.A.); (M.P.); (S.d.S.)
- Unit of Molecular Epidemiology and Genetic in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme (IDIBELL), Catalan Institute of Oncology, L’Hospitalet de Llobregat 08908, Spain;
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9
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Solans M, Romaguera D, Gracia-Lavedan E, Molinuevo A, Benavente Y, Saez M, Marcos-Gragera R, Costas L, Robles C, Alonso E, de la Banda E, Gonzalez-Barca E, Llorca J, Rodriguez-Suarez MM, Lozano-Lorca M, Aymerich M, Campo E, Gimeno-Vázquez E, Castaño-Vinyals G, Aragonés N, Pollán M, Kogevinas M, de Sanjose S, Amiano P, Casabonne D. Adherence to the 2018 WCRF/AICR cancer prevention guidelines and chronic lymphocytic leukemia in the MCC-Spain study. Cancer Epidemiol 2019; 64:101629. [PMID: 31756676 DOI: 10.1016/j.canep.2019.101629] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 10/28/2019] [Accepted: 10/31/2019] [Indexed: 01/28/2023]
Abstract
INTRODUCTION Preventable risk factors for chronic lymphocytic leukemia (CLL) remain largely unknown. The aim of this study was to evaluate the association between adherence to nutrition-based guidelines for cancer prevention and CLL, in the MCC-Spain case-control study. METHODS A total of 318 CLL cases and 1293 population-based controls were included in the present study. The World Cancer Research Fund/American Institute for Cancer Research (WCRC/AICR) score based on the 2018 recommendations for cancer prevention (on body fatness, physical activity, and diet) was constructed. We used logistic regression analysis adjusting for potential confounders. RESULTS Individuals in the highest tertile of the WCRF/AICR score had an odds ratio for CLL of 1.25 (95 % CI 0.91; 1.73) compared with individuals with low adherence (p-trend = 0.172). Each point increment in the score was associated with an OR for CLL of 1.06 (95 % CI 0.91; 1.23). Analyses by severity of disease did not show significant heterogeneity of effects. CONCLUSION Overall, our results do not support an association between the WCRF/AICR score and CLL, yet we might have been limited by statistical power and study design to detect modest associations. Further research, ideally with a prospective design, long follow-up, and including additional lymphoma subtypes, is warranted to confirm the impact of composite healthy lifestyle behaviors on lymphoma risk.
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Affiliation(s)
- Marta Solans
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003, Girona, Spain; Epidemiology Unit and Girona Cancer Registry, Catalan Institute of Oncology, 17004, Girona, Spain
| | - Dora Romaguera
- Balearic Islands Health Research Institute (IdISBa), University Hospital Son Espases, 07120, Palma de Mallorca, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain; ISGlobal, 08003, Barcelona, Spain
| | - Esther Gracia-Lavedan
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; ISGlobal, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain
| | - Amaia Molinuevo
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, 20014, San Sebastian, Spain
| | - Yolanda Benavente
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; Unit of Molecular and Genetic Epidemiology in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, 08908, Hospitalet De Llobregat, Spain
| | - Marc Saez
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003, Girona, Spain
| | - Rafael Marcos-Gragera
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003, Girona, Spain; Epidemiology Unit and Girona Cancer Registry, Catalan Institute of Oncology, 17004, Girona, Spain
| | - Laura Costas
- Unit of Molecular and Genetic Epidemiology in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, 08908, Hospitalet De Llobregat, Spain
| | - Claudia Robles
- Unit of information and interventions in infections and cancer (UNIC-I&I), Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, 08908, Hospitalet de Llobregat, Spain
| | - Esther Alonso
- Department of Patology, Hospital Universitari de Bellvitge, IDIBELL, 08907, L'Hospitalet de Llobregat, Spain
| | - Esmeralda de la Banda
- Department of Patology, Hospital Universitari de Bellvitge, IDIBELL, 08907, L'Hospitalet de Llobregat, Spain
| | - Eva Gonzalez-Barca
- Hematology, IDIBELL, Catalan Institute of Oncology, 08908, L'Hospitalet de Llobregat, Spain
| | - Javier Llorca
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; Universidad de Cantabria - IDIVAL, 39011, Santander, Spain
| | - Marta Maria Rodriguez-Suarez
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; IUOPA, University of Oviedo, ISPA-FINBA, 33003, Oviedo, Spain
| | - Macarena Lozano-Lorca
- Dpto. de Medicina Preventiva y Salud Pública. Universidad de Granada, 18071, Granada, Spain; Instituto de Investigación Biosanitaria de Granada.ibs, 18012, Granada, Spain
| | - Marta Aymerich
- Hematopathology Unit, Pathology Department, Hospital Clínic, University of Barcelona, Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), 08008, Barcelona, Spain
| | - Elias Campo
- Hematopathology Unit, Pathology Department, Hospital Clínic, University of Barcelona, Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), 08008, Barcelona, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Eva Gimeno-Vázquez
- Hematology Department, Hematology Department. Grup de Recerca Clínica Aplicada en Neoplàsies Hematològiques, Cancer Research Programme, IMIM-Hospital del Mar, 08003, Barcelona, Spain
| | - Gemma Castaño-Vinyals
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; ISGlobal, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), 08003, Barcelona, Spain
| | - Nuria Aragonés
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; Epidemiology Section, Public Health Division, Department of Health of Madrid, 28035, Madrid, Spain
| | - Marina Pollán
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, 28029, Madrid, Spain
| | - Manolis Kogevinas
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; ISGlobal, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), 08003, Barcelona, Spain
| | - Silvia de Sanjose
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; Unit of Molecular and Genetic Epidemiology in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, 08908, Hospitalet De Llobregat, Spain; PATH, Reproductive Health, Seattle, United States
| | - Pilar Amiano
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; Public Health Division of Gipuzkoa, BioDonostia Research Institute, 20014, San Sebastian, Spain
| | - Delphine Casabonne
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain; Unit of Molecular and Genetic Epidemiology in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, 08908, Hospitalet De Llobregat, Spain.
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10
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Dierssen-Sotos T, Gómez-Acebo I, Palazuelos C, Gracia-Lavedan E, Pérez-Gómez B, Oribe M, Martín V, Guevara M, Rodríguez-Cundín P, Fernández-Tardón G, Marcos-Gragera R, Molina-Barceló A, Díaz-Santos M, Castaño-Vinyals G, Aragonés N, López-Gonzalez A, Amiano P, Castilla J, Alonso-Molero J, Kogevinas M, Pollán M, Llorca J. Fatty acid intake and breast cancer in the Spanish multicase-control study on cancer (MCC-Spain). Eur J Nutr 2019; 59:1171-1179. [PMID: 31069457 DOI: 10.1007/s00394-019-01977-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 04/25/2019] [Indexed: 12/24/2022]
Abstract
PURPOSE To evaluate the association between dietary fat and fat subtype and breast cancer development. METHODS We conducted a case-control study with 1181 cases of incident breast cancer, diagnosed between 2007 and 2012, and 1682 population controls frequency matched (by age, sex, and region) from the Spanish multicenter case-control study MCC-Spain. RESULTS We found a significant protective effect in premenopausal women of total fat intake [OR 0.51 95% CI (0.31-0.86) highest versus lowest tertile], but no effect was observed in menopausal women [OR 1.15 95% CI (0.83-1.60)]. Analyzing by type of fat, this protective effect persisted only for the monounsaturated fatty acids [OR 0.51 95% CI (0.32-0.82)]. In contrast, other fatty acids did not have a significant effect. In addition, a protection against risk of breast cancer was found when polyunsaturated fats were "substituted" by monounsaturated, maintaining the same total fat intake [OR 0.68 95% CI (0.47-0.99)]. Finally, analyzing by breast cancer subtype, we found no effect, except in premenopausal women where intake of moderate [OR 0.52 95% CI (0.33-0.82)] and high monounsaturated fatty acids [OR 0.47 95% CI (0.27-0.82)] maintains a protective effect against ER/PR + tumors. In contrast, in menopausal women, a high intake of monounsaturated fatty acids was associated with higher risk of HER2 + tumors [OR 2.00 95% CI (0.97-4.13)]. CONCLUSION Our study shows a differential effect of monounsaturated fatty acids according to menopausal status and breast cancer subtype.
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Affiliation(s)
- Trinidad Dierssen-Sotos
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), Madrid, Spain. .,Facultad de Medicina, Universidad de Cantabria-IDIVAL, Avda. Herrera Oria s/n, 39011, Santander, Spain.
| | - Inés Gómez-Acebo
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), Madrid, Spain.,Facultad de Medicina, Universidad de Cantabria-IDIVAL, Avda. Herrera Oria s/n, 39011, Santander, Spain
| | - Camilo Palazuelos
- Facultad de Medicina, Universidad de Cantabria-IDIVAL, Avda. Herrera Oria s/n, 39011, Santander, Spain
| | - Esther Gracia-Lavedan
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), Madrid, Spain.,ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Beatriz Pérez-Gómez
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), Madrid, Spain.,Cardiovascular and Metabolic Diseases Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Madalen Oribe
- Public Health Division of Gipuzkoa, Health Department, BioDonostia Research Institute, San Sebastian, Basque Country, Spain
| | - Vicente Martín
- Instituto de Biomedicina (IBIOMED), Universidad de León, León, Spain
| | - Marcela Guevara
- Instituto de Salud Pública de Navarra, IdiSNA, Pamplona, Spain
| | - Paz Rodríguez-Cundín
- Servicio de Medicina Preventiva, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | | | - Rafael Marcos-Gragera
- Research Group on Statistics, Econometrics and Health (GRECS), Universitat de Girona, Girona, Spain.,Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona, Spain
| | | | - Marian Díaz-Santos
- Centro de Investigación en Recursos Naturales, Salud y Medio Ambiente (RENSMA), Universidad de Huelva, Huelva, Spain
| | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), Madrid, Spain.,ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Nuria Aragonés
- Epidemiology Section, Public Health Division, Department of Health of Madrid, Madrid, Spain
| | - Ana López-Gonzalez
- Servicio de Oncología, Complejo Asistencial Universitario de León, León, Spain
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), Madrid, Spain.,Public Health Division of Gipuzkoa, Health Department, BioDonostia Research Institute, San Sebastian, Basque Country, Spain
| | - Jesús Castilla
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), Madrid, Spain.,Instituto de Salud Pública de Navarra, IdiSNA, Pamplona, Spain
| | - Jessica Alonso-Molero
- Facultad de Medicina, Universidad de Cantabria-IDIVAL, Avda. Herrera Oria s/n, 39011, Santander, Spain
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), Madrid, Spain.,ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Marina Pollán
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), Madrid, Spain.,Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Javier Llorca
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), Madrid, Spain.,Facultad de Medicina, Universidad de Cantabria-IDIVAL, Avda. Herrera Oria s/n, 39011, Santander, Spain.,ISGlobal, Barcelona, Spain
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11
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Vitelli Storelli F, Molina AJ, Zamora-Ros R, Fernández-Villa T, Roussou V, Romaguera D, Aragonés N, Obón-Santacana M, Guevara M, Gómez-Acebo I, Fernández-Tardón G, Molina-Barceló A, Olmedo-Requena R, Capelo R, Chirlaque MD, Pérez-Gómez B, Moreno V, Castilla J, Rubín-García M, Pollán M, Kogevinas M, Lera JPB, Martín V. Flavonoids and the Risk of Gastric Cancer: An Exploratory Case-Control Study in the MCC-Spain Study. Nutrients 2019; 11:nu11050967. [PMID: 31035601 PMCID: PMC6566880 DOI: 10.3390/nu11050967] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Revised: 04/19/2019] [Accepted: 04/24/2019] [Indexed: 12/12/2022] Open
Abstract
Several epidemiological studies have investigated the association between the dietary flavonoid intake and gastric cancer (GC) risk; however, the results remain inconclusive. Investigating the relationship between the different classes of flavonoids and the histological types and origin of GC can be of interest to the research community. We used data from a population-based multi-case control study (MCC-Spain) obtained from 12 different regions of Spain. 2700 controls and 329 GC cases were included in this study. Odds ratios (ORs) were calculated using the mixed effects logistic regression considering quartiles of flavonoid intakes and log2. Flavonoid intake was associated with a lower GC risk (ORlog2 = 0.76; 95% CI = 0.65-0.89; ORq4vsq1 = 0.60; 95%CI = 0.40-0.89; ptrend = 0.007). Inverse and statistically significant associations were observed with anthocyanidins, chalcones, dihydroflavonols and flavan-3-ols. The isoflavanoid intake was positively associated with higher cancer risk, but without reaching a statistical significance. In general, no differences were observed in the GC risk according to the location and histological type. The flavonoid intake seems to be a protective factor against GC within the MCC-study. This effect may vary depending on the flavonoid class but not by the histological type and location of the tumor. Broader studies with larger sample size and greater geographical variability are necessary.
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Affiliation(s)
- Facundo Vitelli Storelli
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud (GIIGAS)/Instituto de Biomedicina (IBIOMED), Universidad de León, 24071 León, Spain.
| | - Antonio José Molina
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud (GIIGAS)/Instituto de Biomedicina (IBIOMED), Universidad de León, 24071 León, Spain.
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), 08908 L'Hospitalet de Llobregat (Barcelona), Spain.
| | - Tania Fernández-Villa
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud (GIIGAS)/Instituto de Biomedicina (IBIOMED), Universidad de León, 24071 León, Spain.
| | - Vasiliki Roussou
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud (GIIGAS)/Instituto de Biomedicina (IBIOMED), Universidad de León, 24071 León, Spain.
| | - Dora Romaguera
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Spain.
- Instituto de Salud Global de Barcelona (ISGlobal), 08003 Barcelona, Spain.
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029 Madrid, Spain.
| | - Nuria Aragonés
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), 28029 Madrid, Spain.
- Cancer Epidemiology Section, Public Health Division, Department of Health of Madrid, 28035 Madrid, Spain.
| | - Mireia Obón-Santacana
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), 28029 Madrid, Spain.
- Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, 08003 Barcelona, Spain.
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain.
| | - Marcela Guevara
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), 28029 Madrid, Spain.
- Public Health Institute of Navarra-IDISNA, 31003 Pamplona, Spain.
| | - Inés Gómez-Acebo
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), 28029 Madrid, Spain.
- University of Cantabria⁻IDIVAL, Santander, Spain.
| | - Guillermo Fernández-Tardón
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), 28029 Madrid, Spain.
- University of Cantabria⁻IDIVAL, Santander, Spain.
| | - Ana Molina-Barceló
- Cancer and Public Health Area, FISABIO-Public Health, 46020 Valencia, Spain.
| | - Rocío Olmedo-Requena
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), 28029 Madrid, Spain.
- Department of Preventive Medicine and Public Health, University of Granada, 18071 Granada, Spain.
| | - Rocío Capelo
- Centro de Investigación en Recursos Naturales, Salud, y Medio Ambiente (RENSMA), Universidad de Huelva, 21071 Huelva, Spain.
| | - María Dolores Chirlaque
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), 28029 Madrid, Spain.
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, 30007 Murcia, Spain.
| | - Beatriz Pérez-Gómez
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), 28029 Madrid, Spain.
- Department of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Carlos III Institute of Health, 28029 Madrid, Spain.
| | - Victor Moreno
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), 28029 Madrid, Spain.
- Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, 08908 Barcelona, Spain.
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, 08908 Barcelona, Spain.
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, 08907 Barcelona, Spain.
| | - Jesús Castilla
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), 28029 Madrid, Spain.
- Public Health Institute of Navarra-IDISNA, 31003 Pamplona, Spain.
| | - María Rubín-García
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud (GIIGAS)/Instituto de Biomedicina (IBIOMED), Universidad de León, 24071 León, Spain.
| | - Marina Pollán
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), 28029 Madrid, Spain.
- Department of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Carlos III Institute of Health, 28029 Madrid, Spain.
| | - Manolis Kogevinas
- Instituto de Salud Global de Barcelona (ISGlobal), 08003 Barcelona, Spain.
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), 28029 Madrid, Spain.
- IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Departament de Ciències Experimentals i de la Salut, 08002 Barcelona, Spain.
| | - Juan Pablo Barrio Lera
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud (GIIGAS)/Instituto de Biomedicina (IBIOMED), Universidad de León, 24071 León, Spain.
| | - Vicente Martín
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud (GIIGAS)/Instituto de Biomedicina (IBIOMED), Universidad de León, 24071 León, Spain.
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), 28029 Madrid, Spain.
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12
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Olmedo-Requena R, González-Donquiles C, Dávila-Batista V, Romaguera D, Castelló A, Molina de la Torre AJ, Amiano P, Dierssen-Sotos T, Guevara M, Fernández-Tardón G, Lozano-Lorca M, Alguacil J, Peiró R, Huerta JM, Gracia-Lavedan E, Aragonés N, Fernández-Villa T, Solans M, Gómez-Acebo I, Castaño-Vinyals G, Kogevinas M, Pollán M, Martín V. Agreement among Mediterranean Diet Pattern Adherence Indexes: MCC-Spain Study. Nutrients 2019; 11:E488. [PMID: 30813581 PMCID: PMC6471750 DOI: 10.3390/nu11030488] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Revised: 02/07/2019] [Accepted: 02/21/2019] [Indexed: 11/29/2022] Open
Abstract
There are many different methods used to measure the degree of adherence to a Mediterranean diet (MD), limiting comparison and interpretation of their results. The concordance between different methodologies has been questioned and their evaluation recommended. The aim of this study was to evaluate the agreement among five indexes that measure adherence to a Mediterranean dietary pattern. The study population included healthy adults selected in the Multi-Case Control Spain (MCC-Spain) study recruited in 12 provinces. A total of 3640 controls were matched to cases by age and sex. To reach the aim, the following scores of adherence to a Mediterranean dietary pattern were calculated: Mediterranean diet score (MDS), alternative Mediterranean diet (aMED), relative Mediterranean diet (rMED), dietary score (DS) and literature-based adherence score (LBAS). The relative frequency of subjects with a high level of adherence to a MD varied from 22% (aMED index) to 37.2% (DS index). Similarly, a high variability was observed for the prevalence of a low level of MD: from 24% (rMED) to 38.4% (aMED). The correlation among MDS, aMED and rMED indexes was moderate, except for MDS and aMED with a high coefficient of correlation 0.75 (95% CI 0.74⁻0.77). The Cohen's Kappa coefficient among indexes showed a moderate⁻fair concordance, except for MDS and aMED with a 0.56 (95% CI 0.55⁻0.59) and 0.67 (95% CI 0.66⁻0.68) using linear and quadratic weighting, respectively. The existing MD adherence indexes measured the same, although they were based on different constructing algorithms and varied in the food groups included, leading to a different classification of subjects. Therefore, concordance between these indexes was moderate or low.
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Affiliation(s)
- Rocío Olmedo-Requena
- Department of Preventive Medicine and Public Health, University of Granada, 18071 Granada, Spain.
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- Inst Invest Biosanitaria Ibs GRANADA, 18071 Granada, Spain.
| | - Carmen González-Donquiles
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- The Research Group in Gene-Environment and Health Interactions (GIIGAS), University of León, 24071 León, Spain.
- Instituto de Biomedicina (IBIOMED), University of León, 24071 León, Spain.
| | - Verónica Dávila-Batista
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- The Research Group in Gene-Environment and Health Interactions (GIIGAS), University of León, 24071 León, Spain.
- Instituto de Biomedicina (IBIOMED), University of León, 24071 León, Spain.
| | - Dora Romaguera
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), 08003 Barcelona, Spain.
- Instituto de Investigación Sanitaria de Palma (IdISPa), Hospital Universitario Son Espases, Unidad de Investigación, I-1. Carretera de Valldemossa, 79, 07120 Palma de Mallorca, Spain.
- CIBER Fisiopatología de la Obesidad y la Nutrición (CIBER-OBN), 28029 Madrid, Spain.
| | - Adela Castelló
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- Cancer Epidemiology Unit, National Centre for Epidemiology, Instituto de Salud Carlos III, Av/Monforte de Lemos, 5, 28029 Madrid, Spain.
- Faculty of Medicine, University of Alcalá, Alcalá de Henares, 28801 Madrid, Spain.
| | - Antonio José Molina de la Torre
- The Research Group in Gene-Environment and Health Interactions (GIIGAS), University of León, 24071 León, Spain.
- Instituto de Biomedicina (IBIOMED), University of León, 24071 León, Spain.
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- Public Health Division of Guipuzkoa, BioDonostia Research Institute, 20014 San Sebastian, Spain.
| | - Trinidad Dierssen-Sotos
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- Universidad de Cantabria-IDIVAL, 39011 Santander, Spain.
| | - Marcela Guevara
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- Instituto de Salud Pública de Navarra, IdiSNA, 31003 Pamplona, Spain.
| | - Guillermo Fernández-Tardón
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- Instituto de Oncología IUOPA (Instituto Universitario de Oncología del Principado de Asturias), University of Oviedo, 33003 Oviedo, Spain.
| | - Macarena Lozano-Lorca
- Department of Preventive Medicine and Public Health, University of Granada, 18071 Granada, Spain.
| | - Juan Alguacil
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- Centro de Investigación en Recursos Naturales, Salud y Medio Ambiente (RENSMA), Universidad de Huelva, 21071 Huelva, Spain.
| | - Rosana Peiró
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana FISABIO-Salud Pública, 46020 Valencia, Spain.
| | - José María Huerta
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, 30007 Murcia, Spain.
| | - Esther Gracia-Lavedan
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), 08003 Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain.
| | - Nuria Aragonés
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- Epidemiology Section, Public Health Division, Department of Health of Madrid, 28035 Madrid, Spain.
| | - Tania Fernández-Villa
- The Research Group in Gene-Environment and Health Interactions (GIIGAS), University of León, 24071 León, Spain.
- Instituto de Biomedicina (IBIOMED), University of León, 24071 León, Spain.
| | - Marta Solans
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- Research Group on Statistics, Econometrics and Health (GRECS), Universitat de Girona, Campus Montilivi, 17003 Girona, Spain.
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, 17004 Girona, Spain.
| | - Inés Gómez-Acebo
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- Universidad de Cantabria-IDIVAL, 39011 Santander, Spain.
| | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), 08003 Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain.
- IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain.
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), 08003 Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain.
- IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Spain.
| | - Marina Pollán
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- Cancer Epidemiology Unit, National Centre for Epidemiology, Instituto de Salud Carlos III, Av/Monforte de Lemos, 5, 28029 Madrid, Spain.
| | - Vicente Martín
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain.
- The Research Group in Gene-Environment and Health Interactions (GIIGAS), University of León, 24071 León, Spain.
- Instituto de Biomedicina (IBIOMED), University of León, 24071 León, Spain.
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13
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Relative Validity and Reproducibility of a Food Frequency Questionnaire to Assess Nutrients and Food Groups of Relevance to the Gut Microbiota in Young Children. Nutrients 2018; 10:nu10111627. [PMID: 30400145 PMCID: PMC6266661 DOI: 10.3390/nu10111627] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Revised: 10/19/2018] [Accepted: 10/22/2018] [Indexed: 01/28/2023] Open
Abstract
Dietary fiber is an important nutrient for the gut microbiota, with different fiber fractions having different effects. The aim of this study was to determine the relative validity and reproducibility of a food frequency questionnaire (EAT5 FFQ) for measuring intake of fiber, and low and high fiber foods, in studies examining diet and gut microbiota in young children. One hundred parents of 5-year old children completed the 123-item EAT5 FFQ on two occasions four weeks apart. A 3-day weighed diet record (WDR) was completed on non-consecutive days between FFQ appointments. Mean correlations between the (randomly chosen) FFQ and WDR were acceptable for nutrient and food group intakes (r = 0.34 and r = 0.41 respectively). Gross misclassification was below chance (12.5%) for quartiles of nutrient (mean 5.7%) and food group (mean 5.1%) intake. ‘Absolute values for surrogate categories’ suggested the FFQ clearly differentiated between highest and lowest quartiles for all nutrients and food groups tested. Mean correlations between repeat administrations of the FFQ suggested very good reproducibility for nutrients (r = 0.83) and food groups (r = 0.80). The EAT5 FFQ appears to be an appropriate tool for investigating the intake of nutrients and food groups of relevance to the gut microbiota, and is the first FFQ validated to measure total, soluble and insoluble non-starch polysaccharide intakes in young children.
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14
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Kogevinas M, Espinosa A, Castelló A, Gómez-Acebo I, Guevara M, Martin V, Amiano P, Alguacil J, Peiro R, Moreno V, Costas L, Fernández-Tardón G, Jimenez JJ, Marcos-Gragera R, Perez-Gomez B, Llorca J, Moreno-Iribas C, Fernández-Villa T, Oribe M, Aragones N, Papantoniou K, Pollán M, Castano-Vinyals G, Romaguera D. Effect of mistimed eating patterns on breast and prostate cancer risk (MCC-Spain Study). Int J Cancer 2018; 143:2380-2389. [PMID: 30016830 PMCID: PMC6220994 DOI: 10.1002/ijc.31649] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Revised: 05/23/2018] [Accepted: 06/01/2018] [Indexed: 12/21/2022]
Abstract
Modern life involves mistimed sleeping and eating patterns that in experimental studies are associated with adverse health effects. We assessed whether timing of meals is associated with breast and prostate cancer risk taking into account lifestyle and chronotype, a characteristic correlating with preference for morning or evening activity. We conducted a population‐based case‐control study in Spain, 2008–2013. In this analysis we included 621 cases of prostate and 1,205 of breast cancer and 872 male and 1,321 female population controls who had never worked night shift. Subjects were interviewed on timing of meals, sleep and chronotype and completed a Food Frequency Questionaire. Adherence to the World Cancer Research Fund/American Institute of Cancer Research recommendations for cancer prevention was examined. Compared with subjects sleeping immediately after supper, those sleeping two or more hours after supper had a 20% reduction in cancer risk for breast and prostate cancer combined (adjusted Odds Ratio [OR] = 0.80, 95%CI 0.67–0.96) and in each cancer individually (prostate cancer OR = 0.74, 0.55–0.99; breast cancer OR = 0.84, 0.67–1.06). A similar protection was observed in subjects having supper before 9 pm compared with supper after 10 pm. The effect of longer supper‐sleep interval was more pronounced among subjects adhering to cancer prevention recommendations (OR both cancers= 0.65, 0.44–0.97) and in morning types (OR both cancers = 0.66, 0.49–0.90). Adherence to diurnal eating patterns and specifically a long interval between last meal and sleep are associated with a lower cancer risk, stressing the importance of evaluating timing in studies on diet and cancer. What's new? Evidence shows that long‐term disruption of endogenous circadian rhythms may be associated with cancer. The effects of mistimed sleeping and eating patterns that come with modern life are however less clear. This large Spanish population‐based study examined whether meal timing and sleep patterns are associated with the two most common nightshift‐related cancers. Adherence to a more diurnal eating pattern, and specifically an early supper and a long interval between last meal and sleep were associated with a lower breast and prostate cancer risk, stressing the importance of evaluating circadian rhythms in diet and cancer studies and revisiting recommendations for prevention.
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Affiliation(s)
- Manolis Kogevinas
- ISGlobal, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ana Espinosa
- ISGlobal, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Adela Castelló
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Environmental and Cancer Epidemiology Unit, National Center of Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.,Faculty of Medicine, University of Alcalá, Madrid, Spain
| | - Inés Gómez-Acebo
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Universidad de Cantabria - IDIVAL, Santander, Spain
| | - Marcela Guevara
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Public Health Institute of Navarra, IdiSNA, Pamplona, Spain
| | - Vicente Martin
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Grupo de Investigación en Interacciones Gen-Ambiente y Salud, Instituto de Biomedicina (IBIOMED), Universidad de León, León, Spain
| | - Pilar Amiano
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Juan Alguacil
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Centro de Investigación en Recursos Naturales, Salud, y Medio Ambiente (RENSMA), Universidad de Huelva, Huelva, Spain
| | - Rosana Peiro
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana FISABIO - Salud Pública, Valencia, Spain
| | - Victor Moreno
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,IDIBELL-Catalan Institute of Oncology, L'Hospitalet de Llobregat, Catalonia, Spain.,Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Laura Costas
- Unit of Molecular Epidemiology and Genetics in Infections and Cancer, Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, Barcelona, Spain
| | - Guillermo Fernández-Tardón
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Asturias, Spain
| | - Jose Juan Jimenez
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - Rafael Marcos-Gragera
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona Biomedical Research Institute (IdiBGi), Girona, Spain
| | - Beatriz Perez-Gomez
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Environmental and Cancer Epidemiology Unit, National Center of Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.,Cardiovascular & Metabolic Diseases Unit, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Javier Llorca
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Universidad de Cantabria - IDIVAL, Santander, Spain
| | | | - Tania Fernández-Villa
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud, Instituto de Biomedicina (IBIOMED), Universidad de León, León, Spain
| | - Madalen Oribe
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Nuria Aragones
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Public Health Division, Department of Health, Epidemiology Section, Madrid, Spain
| | - Kyriaki Papantoniou
- ISGlobal, Barcelona, Spain.,Department of Epidemiology, Center of Public Health, Medical University of Vienna, Vienna, Austria
| | - Marina Pollán
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Environmental and Cancer Epidemiology Unit, National Center of Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
| | - Gemma Castano-Vinyals
- ISGlobal, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Dora Romaguera
- ISGlobal, Barcelona, Spain.,Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitari Son Espases, Palma de Mallorca, Spain.,CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Madrid, Spain
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15
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Association study of dietary non-enzymatic antioxidant capacity (NEAC) and colorectal cancer risk in the Spanish Multicase-Control Cancer (MCC-Spain) study. Eur J Nutr 2018; 58:2229-2242. [PMID: 29995245 DOI: 10.1007/s00394-018-1773-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 07/03/2018] [Indexed: 10/28/2022]
Abstract
PURPOSE Studies attempting to link dietary non-enzymatic antioxidant activity (NEAC) and colorectal cancer (CRC) risk have reported mixed results. We examined this association in the Spanish Multicase-Control Study considering the likely influence of coffee and other dietary factors. METHODS 1718 CRC cases and 3312 matched-controls provided information about diet through a validated 140-item food frequency questionnaire. Dietary NEAC was estimated for three methods [total radical-trapping antioxidant parameters (TRAP), ferric reducing/antioxidant power (FRAP) and TEAC-ABTS] using published values of NEAC content in food, with and without coffee's NEAC. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated through unconditional logistic regression models adjusted for lifestyle and dietary factors. RESULTS Overall dietary intake of NEAC was significantly lower in cases compared to controls and associated with a significantly reduced CRC risk, in both men (ORQ5vsQ1 = 0.67, 95% CI 0.47-0.96 for FRAP) and women (ORQ5vsQ1 = 0.53, 95% CI 0.32-085 for FRAP), in multivariate models with and without the antioxidant contribution from coffee. The effect was similar for all the NEAC methods evaluated and for both colon and rectum. The association between dietary NEAC and CRC risk became non-significant when adjusting for fiber intake. However, intakes of NEAC and fiber were correlated. CONCLUSION This study indicates that intake of an antioxidant-rich plant-based diet, both with and without NEAC from coffee, is associated with decreased CRC risk.
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16
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Solans M, Castelló A, Benavente Y, Marcos-Gragera R, Amiano P, Gracia-Lavedan E, Costas L, Robles C, Gonzalez-Barca E, de la Banda E, Alonso E, Aymerich M, Campo E, Dierssen-Sotos T, Fernández-Tardón G, Olmedo-Requena R, Gimeno E, Castaño-Vinyals G, Aragonés N, Kogevinas M, de Sanjose S, Pollán M, Casabonne D. Adherence to the Western, Prudent, and Mediterranean dietary patterns and chronic lymphocytic leukemia in the MCC-Spain study. Haematologica 2018; 103:1881-1888. [PMID: 29954942 PMCID: PMC6278961 DOI: 10.3324/haematol.2018.192526] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 06/25/2018] [Indexed: 12/12/2022] Open
Abstract
Diet is a modifiable risk factor for several neoplasms but evidence for chronic lymphocytic leukemia (CLL) is sparse. Previous studies examining the association between single-food items and CLL risk have yielded mixed results, while few studies have been conducted on overall diet, reporting inconclusive findings. This study aimed to evaluate the association between adherence to three dietary patterns and CLL in the multicase-control study (MCC-Spain) study. Anthropometric, sociodemographic, medical and dietary information was collected for 369 CLL cases and 1605 controls. Three validated dietary patterns, Western, Prudent and Mediterranean, were reconstructed in the MCC-Spain data. The association between adherence to each dietary pattern and CLL was assessed, overall and by Rai stage, using mixed logistic regression models adjusted for potential confounders. High adherence to a Western dietary pattern (i.e. high intake of high-fat dairy products, processed meat, refined grains, sweets, caloric drinks, and convenience food) was associated with CLL [ORQ4 vs. Q1=1.63 (95%CI 1.11; 2.39); P-trend=0.02; OR 1-SD increase=1.19 (95%CI: 1.03; 1.37)], independently of Rai stages. No differences in the association were observed according to sex, Body Mass Index, energy intake, tobacco, physical activity, working on a farm, or family history of hematologic malignancies. No associations were observed for Mediterranean and Prudent dietary patterns and CLL. This study provides the first evidence for an association between a Western dietary pattern and CLL, suggesting that a proportion of CLL cases could be prevented by modifying dietary habits. Further research, especially with a prospective design, is warranted to confirm these findings.
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Affiliation(s)
- Marta Solans
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Spain.,Epidemiology Unit and Girona Cancer Registry, Catalan Institute of Oncology, Girona, Spain
| | - Adela Castelló
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain.,Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain
| | - Yolanda Benavente
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Unit of Molecular Epidemiology and Genetic in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme (IDIBELL), Catalan Institute of Oncology, L' Hospitalet De Llobregat, Spain
| | - Rafael Marcos-Gragera
- Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Spain.,Epidemiology Unit and Girona Cancer Registry, Catalan Institute of Oncology, Girona, Spain
| | - Pilar Amiano
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Esther Gracia-Lavedan
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Laura Costas
- Unit of Molecular Epidemiology and Genetic in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme (IDIBELL), Catalan Institute of Oncology, L' Hospitalet De Llobregat, Spain
| | - Claudia Robles
- Unit of Information and Interventions in Infections and Cancer (UNIC-I&I), Cancer Epidemiology Research Programme, (IDIBELL), Catalan Institute of Oncology, L' Hospitalet De Llobregat, Spain
| | - Eva Gonzalez-Barca
- Hematology, Bellvitge Biomedical Research Institute (IDIBELL), Catalan Institute of Oncology, L'Hospitalet de Llobregat, Spain
| | - Esmeralda de la Banda
- Hematology Laboratory, Department of Pathology, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain
| | - Esther Alonso
- Hematology Laboratory, Department of Pathology, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain
| | - Marta Aymerich
- Hospital Clinic de Barcelona, University of Barcelona, CIBERONC, Barcelona Spain
| | - Elias Campo
- Hospital Clinic de Barcelona, University of Barcelona, CIBERONC, Barcelona Spain
| | - Trinidad Dierssen-Sotos
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,University of Cantabria - Marqués de Valdecilla Research Institute (IDIVAL), Santander, Spain
| | - Guillermo Fernández-Tardón
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,University Institute of Oncology (IUOPA), University of Oviedo, Spain
| | - Rocio Olmedo-Requena
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Department of Preventive Medicine and Public Health, University of Granada, Spain.,Instituto de Investigación Biosanitaria de Granada, Hospitales Universitarios de Granada, Spain
| | - Eva Gimeno
- Hematology Department, Hospital del Mar, Barcelona, Spain
| | - Gemma Castaño-Vinyals
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Nuria Aragonés
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Epidemiology Section, Public Health Division, Department of Health of Madrid, Spain
| | - Manolis Kogevinas
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Silvia de Sanjose
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Unit of Molecular Epidemiology and Genetic in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme (IDIBELL), Catalan Institute of Oncology, L' Hospitalet De Llobregat, Spain.,PATH, Reproductive Health, Seattle, WA, USA
| | - Marina Pollán
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Delphine Casabonne
- Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Madrid, Spain .,Unit of Molecular Epidemiology and Genetic in Infections and Cancer (UNIC-Molecular), Cancer Epidemiology Research Programme (IDIBELL), Catalan Institute of Oncology, L' Hospitalet De Llobregat, Spain
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17
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Castelló A, Fernández de Larrea N, Martín V, Dávila-Batista V, Boldo E, Guevara M, Moreno V, Castaño-Vinyals G, Gómez-Acebo I, Fernández-Tardón G, Peiró R, Olmedo-Requena R, Capelo R, Navarro C, Pacho-Valbuena S, Pérez-Gómez B, Kogevinas M, Pollán M, Aragonés N. High adherence to the Western, Prudent, and Mediterranean dietary patterns and risk of gastric adenocarcinoma: MCC-Spain study. Gastric Cancer 2018; 21:372-382. [PMID: 29139048 DOI: 10.1007/s10120-017-0774-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Accepted: 10/10/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND The influence of dietary habits on the development of gastric adenocarcinoma is not clear. The objective of the present study was to explore the association of three previously identified dietary patterns with gastric adenocarcinoma by sex, age, cancer site, and morphology. METHODS MCC-Spain is a multicase-control study that included 295 incident cases of gastric adenocarcinoma and 3040 controls. The association of the Western, Prudent, and Mediterranean dietary patterns-derived in another Spanish case-control study-with gastric adenocarcinoma was assessed using multivariable logistic regression models with random province-specific intercepts and considering a possible interaction with sex and age. Risk according to tumor site (cardia, non-cardia) and morphology (intestinal/diffuse) was evaluated using multinomial regression models. RESULTS A high adherence to the Western pattern increased gastric adenocarcinoma risk [odds ratiofourth_vs._first_quartile (95% confidence interval), 2.09 (1.31; 3.33)] even at low levels [odds ratiosecond_vs._first_quartile (95% confidence interval), 1.63 (1.05; 2.52)]. High adherence to the Mediterranean dietary pattern could prevent gastric adenocarcinoma [odds ratiofourth_vs._first_quartile (95% confidence interval), 0.53 (0.34; 0.82)]. Although no significant heterogeneity of effects was observed, the harmful effect of the Western pattern was stronger among older participants and for non-cardia adenocarcinomas, whereas the protective effect of the Mediterranean pattern was only observed among younger participants and for non-cardia tumors. CONCLUSION Decreasing the consumption of fatty and sugary products and of red and processed meat in favor of an increase in the intake of fruits, vegetables, legumes, olive oil, nuts, and fish might prevent gastric adenocarcinoma.
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Affiliation(s)
- Adela Castelló
- Cancer Epidemiology Unit, National Centre for Epidemiology, Instituto de Salud Carlos III, Av/Monforte de Lemos, 5, 28029, Madrid, Spain. .,Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Av/Monforte de Lemos, 5, 28029, Madrid, Spain. .,Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain.
| | - Nerea Fernández de Larrea
- Cancer Epidemiology Unit, National Centre for Epidemiology, Instituto de Salud Carlos III, Av/Monforte de Lemos, 5, 28029, Madrid, Spain.,Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Av/Monforte de Lemos, 5, 28029, Madrid, Spain
| | - Vicente Martín
- The Research Group in Gene-Environment and Health Interactions, Vegazana Campus, University of León, León, Spain
| | - Verónica Dávila-Batista
- The Research Group in Gene-Environment and Health Interactions, Vegazana Campus, University of León, León, Spain
| | - Elena Boldo
- Cancer Epidemiology Unit, National Centre for Epidemiology, Instituto de Salud Carlos III, Av/Monforte de Lemos, 5, 28029, Madrid, Spain.,Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Av/Monforte de Lemos, 5, 28029, Madrid, Spain
| | - Marcela Guevara
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Av/Monforte de Lemos, 5, 28029, Madrid, Spain.,Public Health Institute of Navarra, IdiSNA, Pamplona, Spain
| | - Víctor Moreno
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Av/Monforte de Lemos, 5, 28029, Madrid, Spain.,Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge, L'Hospitalet de Llobregat, Spain.,Unit of Biomarkers and Susceptibility, Cancer Prevention and Control Program, Catalan Institute of Oncology (ICO), IDIBELL, Gran Via km 2.7, 08907, L'Hospitalet de Llobregat, Spain
| | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Av/Monforte de Lemos, 5, 28029, Madrid, Spain.,ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | | | | | - Rosana Peiró
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Av/Monforte de Lemos, 5, 28029, Madrid, Spain.,Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana FISABIO-Salud Pública, Valencia, Spain
| | - Rocío Olmedo-Requena
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Av/Monforte de Lemos, 5, 28029, Madrid, Spain.,Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain.,Instituto de Investigación Biosanitaria ibs.GRANADA, Complejo Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - Rocio Capelo
- Centro de Investigación en Salud y Medio Ambiente (CYSMA), Universidad de Huelva, Huelva, Spain
| | - Carmen Navarro
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Av/Monforte de Lemos, 5, 28029, Madrid, Spain.,Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain.,Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain
| | | | - Beatriz Pérez-Gómez
- Cancer Epidemiology Unit, National Centre for Epidemiology, Instituto de Salud Carlos III, Av/Monforte de Lemos, 5, 28029, Madrid, Spain.,Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Av/Monforte de Lemos, 5, 28029, Madrid, Spain
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Av/Monforte de Lemos, 5, 28029, Madrid, Spain.,ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Marina Pollán
- Cancer Epidemiology Unit, National Centre for Epidemiology, Instituto de Salud Carlos III, Av/Monforte de Lemos, 5, 28029, Madrid, Spain.,Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Av/Monforte de Lemos, 5, 28029, Madrid, Spain
| | - Nuria Aragonés
- Cancer Epidemiology Unit, National Centre for Epidemiology, Instituto de Salud Carlos III, Av/Monforte de Lemos, 5, 28029, Madrid, Spain.,Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Av/Monforte de Lemos, 5, 28029, Madrid, Spain
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18
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Boldo E, Castelló A, Aragonés N, Amiano P, Pérez-Gómez B, Castaño-Vinyals G, Martín V, Guevara M, Urtiaga C, Dierssen-Sotos T, Fernández-Tardón G, Moreno V, Solans M, Peiró R, Capelo R, Gómez-Acebo I, Castilla J, Molina AJ, Castells X, Altzibar JM, Lope V, Kogevinas M, Romieu I, Pollán M. Meat intake, methods and degrees of cooking and breast cancer risk in the MCC-Spain study. Maturitas 2018; 110:62-70. [PMID: 29563037 DOI: 10.1016/j.maturitas.2018.01.020] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 11/14/2017] [Accepted: 01/20/2018] [Indexed: 12/22/2022]
Abstract
OBJECTIVE To analyse the relationship of the risk of breast cancer (BC) to meat intake, preference regarding degree of cooking ('doneness') and cooking methods, using data from a population-based case-control study (MCC-Spain). STUDY DESIGN 1006 Histologically confirmed incident BC cases and 1370 controls were recruited in 10 Spanish provinces. Participants were 23-85 years old. They answered an epidemiological survey and a food frequency questionnaire. BC risk was assessed overall, by menopausal status and by pathological subtypes, using logistic and multinomial regression mixed models adjusted for known confounding factors and including province as a random effects term. MAIN OUTCOME MEASURES Breast cancer and pathological subtype. RESULTS High total intake of meat (ORQ4-Q1 (95% IC) = 1.39 (1.03-1.88)) was associated with increased BC risk among post-menopausal women. Similar results were found for processed/cured meat (ORQ4-Q1 (95% IC) = 1.47 (1.10-1.97)), and this association was particularly strong for triple-negative tumours (ER-, PR- and HER2-) (ORQ4-Q1 (95% IC) = 2.52 (1.15-5.49)). Intakes of well-done (ORwell-donevsrare (95% CI) = 1.62 (1.15-2.30)) and stewed (OR (95% CI) = 1.49 (1.20-1.84)) red meat were associated with increased BC risk, with a high risk observed for HR+ tumours (ER+/PR+ and HER2-). Pan-fried/bread-coated fried white meat, but not doneness preference, was associated with an increased BC risk for all women (OR (95% CI) = 1.38 (1.14-1.65)), with a stronger association for pre-menopausal women (OR (95% CI) = 1.78 (1.29-2.46)). CONCLUSION The risk of developing BC could be reduced by moderating the consumption of well-done or stewed red meat, pan-fried/bread-coated fried white meat and, especially, processed/cured meat.
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Affiliation(s)
- Elena Boldo
- Cancer and Environmental Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222 Madrid, Spain.
| | - Adela Castelló
- Cancer and Environmental Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222 Madrid, Spain.
| | - Nuria Aragonés
- Cancer and Environmental Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222 Madrid, Spain.
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Public Health Division of Gipuzkoa, BioDonostia Research Institute, Paseo Dr Beguiristain s/n, 20014 San Sebastian, Spain.
| | - Beatriz Pérez-Gómez
- Cancer and Environmental Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222 Madrid, Spain.
| | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Plaça de la Mercè, 10, 08002 Barcelona, Spain.
| | - Vicente Martín
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Instituto de Biomedicina (IBIOMED), Grupo de Investigación en Interacciones Gen-Ambiente y Salud, Universidad de León, Campus Vegazana, s/n, 24071 León, Spain.
| | - Marcela Guevara
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Early Detection Section, Public Health Institute of Navarre, IdiSNA, C/Irunlarrea, 3, 31008 Pamplona, Spain.
| | - Carmen Urtiaga
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Paseo Dr Beguiristain s/n, 20014 San Sebastian, Spain.
| | - Trinidad Dierssen-Sotos
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Universidad de Cantabria - IDIVAL, Avenida Cardenal Herrera Oria s/n, 39011 Santander, Spain.
| | - Guillermo Fernández-Tardón
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Instituto Universitario de Oncología IUOPA, University of Oviedo, Facultad de Medicina, Planta 7, Campus de El Cristo B, 33006, Oviedo, Spain.
| | - Victor Moreno
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Cancer Prevention and Control Program, Catalan Institute of Oncology (ICO), IDIBELL, Gran Via, 199-203, 08907, L'Hospitalet de Llobregat, Barcelona, Spain; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge, Pavelló de Govern, Feixa Llarga s/n, 08907, Barcelona, L'Hospitalet del Llobregat, Spain.
| | - Marta Solans
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Research Group on Statistics, Econometrics and Health (GRECS), Universitat de Girona, Campus Montilivi, 17071 Girona, Spain; Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona, Spain.
| | - Rosanna Peiró
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana FISABIO-Salud Pública, Valencia. Avda. Cataluña, 21, 46020, Valencia, Spain.
| | - Rocio Capelo
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Centre for Research in Health and Environment (CYSMA), Universidad de Huelva, Campus Universitario de El Carmen, 21071, Huelva, Spain.
| | - Inés Gómez-Acebo
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Universidad de Cantabria - IDIVAL, Avenida Cardenal Herrera Oria s/n, 39011 Santander, Spain.
| | - Jesús Castilla
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Early Detection Section, Public Health Institute of Navarre, IdiSNA, C/Irunlarrea, 3, 31008 Pamplona, Spain.
| | - Antonio José Molina
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Instituto de Biomedicina (IBIOMED), Grupo de Investigación en Interacciones Gen-Ambiente y Salud, Universidad de León, Campus Vegazana, s/n, 24071 León, Spain.
| | - Xavier Castells
- Departments of Epidemiology and Evaluation-IMIM (Hospital del Mar Medical Research Institute), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain; Research Network on Health Services in Chronic Diseases (REDISSEC), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Autonoma de Barcelona, Av. Universitat Autònoma, 20, 08290 Cerdanyola del Vallès, Barcelona, Spain.
| | - Jone M Altzibar
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Breast Cancer Screening Program, Osakidetza-Health Basque Region Service, Avenida Navarra, 4, 20013, San Sebastián, Spain.
| | - Virginia Lope
- Cancer and Environmental Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222 Madrid, Spain.
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Carrer del Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Plaça de la Mercè, 10, 08002 Barcelona, Spain.
| | - Isabelle Romieu
- Nutrition and Metabolism Section, International Agency for Research on Cancer, 150 Cours Albert Thomas, 69372 Lyon, France.
| | - Marina Pollán
- Cancer and Environmental Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029 Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222 Madrid, Spain.
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19
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Castelló A, Amiano P, Fernández de Larrea N, Martín V, Alonso MH, Castaño-Vinyals G, Pérez-Gómez B, Olmedo-Requena R, Guevara M, Fernandez-Tardon G, Dierssen-Sotos T, Llorens-Ivorra C, Huerta JM, Capelo R, Fernández-Villa T, Díez-Villanueva A, Urtiaga C, Castilla J, Jiménez-Moleón JJ, Moreno V, Dávila-Batista V, Kogevinas M, Aragonés N, Pollán M. Low adherence to the western and high adherence to the mediterranean dietary patterns could prevent colorectal cancer. Eur J Nutr 2018; 58:1495-1505. [PMID: 29582162 DOI: 10.1007/s00394-018-1674-5] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 03/22/2018] [Indexed: 01/14/2023]
Abstract
PURPOSE To assess if the associations found between three previously identified dietary patterns with breast, prostate and gastric cancer are also observed for colorectal cancer (CRC). METHODS MCC-Spain is a multicase-control study that collected information of 1629 incident cases of CRC and 3509 population-based controls from 11 Spanish provinces. Western, Prudent and Mediterranean data-driven dietary patterns-derived in another Spanish case-control study-were reconstructed in MCC-Spain. Their association with CRC was assessed using mixed multivariable logistic regression models considering a possible interaction with sex. Risk by tumor site (proximal colon, distal colon, and rectum) was evaluated using multinomial regression models. RESULTS While no effect of the Prudent pattern on CRC risk was observed, a high adherence to the Western dietary pattern was associated with increased CRC risk for both males [ORfourth(Q4) vs. first(Q1)quartile (95% CI): 1.45 (1.11;1.91)] and females [ORQ4 vs. Q1 (95% CI): 1.50 (1.07;2.09)] but seem to be confined to distal colon [ORfourth(Q4) vs. first(Q1)quartile (95% CI): 2.02 (1.44;2.84)] and rectal [ORQ4 vs. Q1 (95% CI): 1.46 (1.05;2.01)] tumors. The protective effect of the Mediterranean dietary pattern against CRC was observed for both sexes [males: ORQ4 vs. Q1 (95% CI): 0.71 (0.55;0.92); females: ORQ4 vs. Q1 (95% CI): 0.56 (0.40;0.77)] and for all cancer sites: proximal colon [ORQ4 vs. Q1 (95% CI): 0.70 (0.51;0.97)], distal colon [ORQ4 vs. Q1 (95% CI): 0.65 (0.48;0.89)], and rectum (ORQ4 vs. Q1 (95% CI): 0.60 (0.45;0.81)]. CONCLUSION Our results are consistent with most of the associations previously found between these patterns and breast, prostate and gastric cancer risk and indicate that consuming whole fruits, vegetables, legumes, olive oil, nuts, and fish and avoiding red and processed meat, refined grains, sweets, caloric drinks, juices, convenience food, and sauces might reduce CRC risk.
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Affiliation(s)
- Adela Castelló
- Cancer Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain.
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain.
- Faculty of Medicine, University of Alcalá, Campus Universitario-C/ 19, Av. de Madrid, Km 33,600, 28871, Alcalá de Henares, Madrid, Spain.
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
- Public Health Department of Gipuzkoa, Government of the Basque Country, Avenida Navarra, 4, 20013, San Sebastián, Spain
- Biodonostia Research Institute, Paseo Dr Beguiristain s/n, 20014, San Sebastián, Spain
| | - Nerea Fernández de Larrea
- Cancer Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
| | - Vicente Martín
- The Research Group in Gene-Environment and Health Interactions, Vegazana Campus, University of León, Campus Vegazana, s/n, 24071, León, Spain
| | - Maria Henar Alonso
- Unit of Biomarkers and Susceptibility, Cancer Prevention and Control Program, Catalan Institute of Oncology (ICO) and IDIBELL, Gran Via km 2.7, 08907, L'Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge, Pavelló de Govern, Feixa Llarga s/n, 08907, L'Hospitalet de Llobregat, Spain
| | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain
| | - Beatriz Pérez-Gómez
- Cancer Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
| | - Rocío Olmedo-Requena
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Av, de la Investigación, 11, 18016, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Complejo Hospitales Universitarios de Granada/Universidad de Granada, Edificio Licinio de la Fuente, Calle Dr. Azpitarte, 4, 18012, Granada, Spain
| | - Marcela Guevara
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
- Public Health Institute of Navarra, Calle Leyre 15, 31003, Pamplona, Spain
| | - Guillermo Fernandez-Tardon
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
- IUOPA, University of Oviedo, Facultad de Medicina, Planta 7, Campus de El Cristo B, 33006, Oviedo, Spain
| | - Trinidad Dierssen-Sotos
- Universidad de Cantabria, IDIVAL, Avenida Cardenal Herrera Oria s/n, 39011, Santander, Spain
| | - Cristobal Llorens-Ivorra
- Centro de Salud Pública de Dénia, Consellería de Sanidad Universal y Salud Pública, Plaza Jaime I, 5, 03700, Denia, Spain
| | - Jose María Huerta
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, C/ Luis Fontes Pagán nº 9-1ª planta, C.P.-30003, Murcia, Spain
| | - Rocío Capelo
- Centro de Investigación en Salud y Medio Ambiente (CYSMA), Universidad de Huelva, Campus Universitario de El Carmen, 21071, Huelva, Spain
| | - Tania Fernández-Villa
- The Research Group in Gene-Environment and Health Interactions, Vegazana Campus, University of León, Campus Vegazana, s/n, 24071, León, Spain
| | - Anna Díez-Villanueva
- Unit of Biomarkers and Susceptibility, Cancer Prevention and Control Program, Catalan Institute of Oncology (ICO) and IDIBELL, Gran Via km 2.7, 08907, L'Hospitalet de Llobregat, Spain
| | - Carmen Urtiaga
- Biodonostia Research Institute, Paseo Dr Beguiristain s/n, 20014, San Sebastián, Spain
| | - Jesús Castilla
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
- Public Health Institute of Navarra, Calle Leyre 15, 31003, Pamplona, Spain
| | - Jose Juan Jiménez-Moleón
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Av, de la Investigación, 11, 18016, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Complejo Hospitales Universitarios de Granada/Universidad de Granada, Edificio Licinio de la Fuente, Calle Dr. Azpitarte, 4, 18012, Granada, Spain
| | - Víctor Moreno
- Unit of Biomarkers and Susceptibility, Cancer Prevention and Control Program, Catalan Institute of Oncology (ICO) and IDIBELL, Gran Via km 2.7, 08907, L'Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge, Pavelló de Govern, Feixa Llarga s/n, 08907, L'Hospitalet de Llobregat, Spain
| | - Verónica Dávila-Batista
- The Research Group in Gene-Environment and Health Interactions, Vegazana Campus, University of León, Campus Vegazana, s/n, 24071, León, Spain
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain
| | - Nuria Aragonés
- Cancer Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
| | - Marina Pollán
- Cancer Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain
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20
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de Batlle J, Gracia-Lavedan E, Romaguera D, Mendez M, Castaño-Vinyals G, Martín V, Aragonés N, Gómez-Acebo I, Olmedo-Requena R, Jimenez-Moleon JJ, Guevara M, Azpiri M, Llorens-Ivorra C, Fernandez-Tardon G, Lorca JA, Huerta JM, Moreno V, Boldo E, Pérez-Gómez B, Castilla J, Fernández-Villa T, Barrio JP, Andreu M, Castells A, Dierssen T, Altzibar JM, Kogevinas M, Pollán M, Amiano P. Meat intake, cooking methods and doneness and risk of colorectal tumours in the Spanish multicase-control study (MCC-Spain). Eur J Nutr 2018; 57:643-653. [PMID: 27885555 DOI: 10.1007/s00394-016-1350-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 11/18/2016] [Indexed: 11/25/2022]
Abstract
PURPOSE Although there is convincing evidence that red and processed meat intake increases the risk of colorectal cancer (CRC), the potential role of meat cooking practices has not been established yet and could partly explain the current heterogeneity of results among studies. Therefore, we aimed to investigate the association between meat consumption and cooking practices and the risk of CRC in a population-based case-control study. METHODS A total of 1671 CRC cases and 3095 controls recruited in Spain between September 2008 and December 2013 completing a food frequency questionnaire with a meat-specific module were included in the analyses. Odds ratios (OR) and confidence intervals (CI) were estimated by logistic regression models adjusted for known confounders. RESULTS Total meat intake was associated with increased risk of CRC (OR T3-T1 1.41; 95% CI 1.19-1.67; p trend < 0.001), and similar associations were found for white, red and processed/cured/organ meat. Rare-cooked meat preference was associated with low risk of CRC in red meat (ORrare vs. medium 0.66; 95% CI 0.51-0.85) and total meat (ORrare vs. medium 0.56; 95% CI 0.37-0.86) consumers, these associations being stronger in women than in men. Griddle-grilled/barbecued meat was associated with an increased CRC risk (total meat: OR 1.45; 95% CI 1.13-1.87). Stewing (OR 1.25; 95% CI 1.04-1.51) and oven-baking (OR 1.18; 95% CI 1.00-1.40) were associated with increased CRC risk of white, but not red, meat. CONCLUSIONS Our study supports an association of white, red, processed/cured/organ and total meat intake with an increased risk of CRC. Moreover, our study showed that cooking practices can modulate such risk.
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Affiliation(s)
- Jordi de Batlle
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Esther Gracia-Lavedan
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Dora Romaguera
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
- Instituto de Investigación Sanitaria de Palma (IdISPa), Hospital Universitario Son Espases, Unidad de Investigación, I-1. Carretera de Valldemossa, 79, 07120, Palma de Mallorca, Spain.
- CIBER Fisiopatología de la Obesidad y la Nutrición (CIBER-OBN), Madrid, Spain.
| | - Michelle Mendez
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Carolina Population Center and Lineberger Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Gemma Castaño-Vinyals
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Grupo de Investigación en Interacciones gen-ambiente y salud, Universidad de León, León, Spain
| | - Núria Aragonés
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Instituto de Salud Carlos III, Madrid, Spain
- Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
- Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Majadahonda, Madrid, Spain
| | - Inés Gómez-Acebo
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Universidad de Cantabria - IDIVAL, Santander, Spain
| | - Rocío Olmedo-Requena
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Complejo Hospitales Universitarios de Granada, Universidad de Granada, Granada, Spain
| | - José Juan Jimenez-Moleon
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Complejo Hospitales Universitarios de Granada, Universidad de Granada, Granada, Spain
| | - Marcela Guevara
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Instituto de Salud Pública de Navarra, IdiSNA, Pamplona, Spain
| | - Mikel Azpiri
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Government of the Basque Country, San Sebastian, Spain
| | - Cristóbal Llorens-Ivorra
- Centro de Salud Pública de Dénia, Consellería de Sanidad Universal y Salud Pública, Generalitat Valenciana, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), València, Spain
| | - Guillermo Fernandez-Tardon
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- IUOPA, Preventive Medicine Department, University of Oviedo, Oviedo, Spain
| | - Jose Andrés Lorca
- Centro de Investigación en Salud y Medio Ambiente (CYSMA), Universidad de Huelva, Huelva, Spain
| | - José María Huerta
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Victor Moreno
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- IDIBELL-Catalan Institute of Oncology, L'Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge, L'Hospitalet del Llobregat, Barcelona, Spain
| | - Elena Boldo
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Instituto de Salud Carlos III, Madrid, Spain
- Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
- Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Majadahonda, Madrid, Spain
| | - Beatriz Pérez-Gómez
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Instituto de Salud Carlos III, Madrid, Spain
- Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
- Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Majadahonda, Madrid, Spain
| | - Jesús Castilla
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Instituto de Salud Pública de Navarra, IdiSNA, Pamplona, Spain
| | - Tania Fernández-Villa
- Grupo de Investigación en Interacciones gen-ambiente y salud, Universidad de León, León, Spain
| | - Juan Pablo Barrio
- Grupo de Investigación en Interacciones gen-ambiente y salud, Universidad de León, León, Spain
| | - Montserrat Andreu
- Department of Gastroenterology, Hospital del Mar, IMIM (Hospital del Mar Medical Research Institute), Pompeu Fabra University, Barcelona, Spain
| | - Antoni Castells
- Gastroenterology Department, Hospital Clínic, IDIBAPS, CIBERehd, University of Barcelona, Barcelona, Catalonia, Spain
| | - Trinidad Dierssen
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Universidad de Cantabria - IDIVAL, Santander, Spain
| | - Jone M Altzibar
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Government of the Basque Country, San Sebastian, Spain
| | - Manolis Kogevinas
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Marina Pollán
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Instituto de Salud Carlos III, Madrid, Spain
- Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
- Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Majadahonda, Madrid, Spain
| | - Pilar Amiano
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, Government of the Basque Country, San Sebastian, Spain
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21
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Ashton LM, Pezdirc KB, Hutchesson MJ, Rollo ME, Collins CE. Is Skin Coloration Measured by Reflectance Spectroscopy Related to Intake of Nutrient-Dense Foods? A Cross-Sectional Evaluation in Australian Young Adults. Nutrients 2017; 10:nu10010011. [PMID: 29295504 PMCID: PMC5793239 DOI: 10.3390/nu10010011] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 12/18/2017] [Accepted: 12/20/2017] [Indexed: 11/16/2022] Open
Abstract
The current study examines associations between the dietary intakes of nutrient-dense foods, measured using brief indices and skin coloration, measured using reflectance spectroscopy in young adults. This is a cross-sectional analysis of 148 young Australian males and females (55% female) aged 18 to 25 years. Dietary intake was assessed using a validated food frequency questionnaire, with responses used to calculate two dietary indices: (i) the Australian Recommended Food Score (ARFS); and (ii) the Fruit And Vegetable VAriety Score (FAVVA). Skin yellowness was measured at three body locations using reflectance spectroscopy. Associations were assessed using Spearman's correlation coefficients, regression analysis, and agreement using weighted kappa (Kw). Significant, moderate correlations were found between skin yellowness and diet index scores for the ARFS (ρ = 0.30, p < 0.001) and FAVVA score (ρ = 0.39, p < 0.001). These remained significant after adjustment for confounders (total fat intake, sex, skin lightness) and for agreement based on categorical rankings. Results suggest that measurement of skin coloration by reflectance spectroscopy can be used as an indicator of overall dietary quality and variety in young adults. Further exploration in diverse populations is required.
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Affiliation(s)
- Lee M Ashton
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
| | - Kristine B Pezdirc
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
| | - Melinda J Hutchesson
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
| | - Megan E Rollo
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
| | - Clare E Collins
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan 2308, Australia.
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22
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Alonso-Molero J, González-Donquiles C, Palazuelos C, Fernández-Villa T, Ramos E, Pollán M, Aragonés N, Llorca J, Henar Alonso M, Tardón A, Amiano P, Moleon JJJ, Pérez RP, Capelo R, Molina AJ, Acebo IG, Guevara M, Perez-Gomez B, Lope V, Huerta JM, Castaño-Vinyals G, Kogevinas M, Moreno V, Martín V. The RS4939827 polymorphism in the SMAD7 GENE and its association with Mediterranean diet in colorectal carcinogenesis. BMC MEDICAL GENETICS 2017; 18:122. [PMID: 29084532 PMCID: PMC5661920 DOI: 10.1186/s12881-017-0485-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 10/18/2017] [Indexed: 02/06/2023]
Abstract
Background The objective of our investigation is to study the relationship between the rs4939827 SNP in the SMAD7 gene, Mediterranean diet pattern and the risk of colorectal cancer. Methods We examined 1087 cases of colorectal cancer and 2409 population controls with available DNA samples from the MCC-Spain study, 2008–2012. Descriptive statistical analyses, and multivariate logistic mixed models were performed. The potential synergistic effect of rs4939827 and the Mediterranean diet pattern was evaluated with logistic regression in different strata of of adherence to the Mediterranean diet and the genotype. Results High adherence to Mediterrenean diet was statistically significantly associated with colorectal cancer risk. A decreased risk for CRC cancer was observed for the CC compared to the TT genotype (OR = 0.65 and 95% CI = 0.51–0.81) of the rs4939827 SNP Also, we could show an association between the Mediterranean diet pattern (protective factor) and rs4939827. Although the decreased risk for the CC genotype was slightly more pronounced in subjects with high adherence to Mediterrenean diet, there was no statistically significant synergistic effect between genotype CC and adherence to the Mediterranean dietary pattern factors. Conclusion The SMAD7 gene and specifically the allele C could be protective for colorectal cancer. An independent protective association was also observed between high adherence Mediterranean diet pattern and CRC risk. Findings form this study indicate that high adherence to Mediterranean diet pattern has a protective role for CRC cancer probably involving the Tumor Growth Factor- β pathway in this cancer. Electronic supplementary material The online version of this article (10.1186/s12881-017-0485-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jéssica Alonso-Molero
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud. Instituto de Biomedicina (IBIOMED), Universidad de León, León, Spain
| | - Carmen González-Donquiles
- Centro de Investigación Biomédica en Red (CIBERESP) and Oviedo University; Departamento de Ciencias Biomédicas. Universidad de León. Campus de Vegazana, León, Spain.
| | | | - Tania Fernández-Villa
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud. Instituto de Biomedicina (IBIOMED), Universidad de León, León, Spain
| | - Elena Ramos
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud. Instituto de Biomedicina (IBIOMED), Universidad de León, León, Spain
| | - Marina Pollán
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Cancer and Environmental Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Nuria Aragonés
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Cancer and Environmental Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Javier Llorca
- Universidad de Cantabria, Santander, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - M Henar Alonso
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Cancer Prevention and Control Program, Catalan Institute of Oncology, Hospitalet de Llobregat, Barcelona, Spain.,Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain.,Colorectal Cancer Group, Bellvitge Biomedical Research Institute (IDIBELL). Hospitalet de Llobregat, Barcelona, Spain
| | - Adonina Tardón
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Oncology Institute IUOPA, Universidad de Oviedo, Oviedo, Asturias, Spain
| | - Pilar Amiano
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Instituto de Salud Pública de Navarra, Pamplona, Navarra, Spain
| | - José Juan Jiménez Moleon
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - Rosana Peiró Pérez
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Dirección General de Salud Pública, Fundación para el fomento de la investigación sanitaria y biomédica de la Comunidad Valenciana, FISABIO-Salud Pública, Barcelona, Spain
| | - Rocío Capelo
- Centro de Investigación en Salud y Medio Ambiente (CYSMA), Universidad de Huelva, Huelva, Spain
| | - Antonio J Molina
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud. Instituto de Biomedicina (IBIOMED), Universidad de León, León, Spain
| | - Inés Gómez Acebo
- Universidad de Cantabria, Santander, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Marcela Guevara
- Instituto de Salud Pública de Navarra, Pamplona, Navarra, Spain
| | - Beatriz Perez-Gomez
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Cancer and Environmental Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain.,Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta De Hierro, Madrid, Spain
| | - Virginia Lope
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Cancer and Environmental Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - José María Huerta
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Gemma Castaño-Vinyals
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Manolis Kogevinas
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,School of Public Health, Athens, Greece
| | - Victor Moreno
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Cancer Prevention and Control Program, Catalan Institute of Oncology, Hospitalet de Llobregat, Barcelona, Spain.,Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain.,Colorectal Cancer Group, Bellvitge Biomedical Research Institute (IDIBELL). Hospitalet de Llobregat, Barcelona, Spain
| | - Vicente Martín
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,Grupo de Investigación en Interacciones Gen-Ambiente y Salud de la Universidad de León, León, Spain
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23
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Castelló A, Boldo E, Amiano P, Castaño-Vinyals G, Aragonés N, Gómez-Acebo I, Peiró R, Jimenez-Moleón JJ, Alguacil J, Tardón A, Cecchini L, Lope V, Dierssen-Sotos T, Mengual L, Kogevinas M, Pollán M, Pérez-Gómez B. Mediterranean Dietary Pattern is Associated with Low Risk of Aggressive Prostate Cancer: MCC-Spain Study. J Urol 2017; 199:430-437. [PMID: 28842246 DOI: 10.1016/j.juro.2017.08.087] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/24/2017] [Indexed: 01/04/2023]
Abstract
PURPOSE We explored the association of the previously described Western, prudent and Mediterranean dietary patterns with prostate cancer risk by tumor aggressiveness and extension. MATERIALS AND METHODS MCC-Spain (Multicase-Control Study on Common Tumors in Spain) is a population based, multicase-control study that was done in 7 Spanish provinces between September 2008 and December 2013. It collected anthropometric, epidemiological and dietary information on 754 histologically confirmed incident cases of prostate cancer and 1,277 controls 38 to 85 years old. Three previously identified dietary patterns, including Western, prudent and Mediterranean, were reconstructed using MCC-Spain data. The association of each pattern with prostate cancer risk was assessed by logistic regression models with random, province specific intercepts. Risk according to tumor aggressiveness (Gleason score 6 vs greater than 6) and extension (cT1-cT2a vs cT2b-cT4) was evaluated by multinomial regression models. RESULTS High adherence to a Mediterranean dietary pattern rich not only in fruits and vegetables but also in fish, legumes and olive oil was specifically associated with a lower risk of Gleason score greater than 6 prostate cancer (quartile 3 vs 1 relative RR 0.66, 95% CI 0.46-0.96 and quartile 4 vs 1 relative RR 0.68, 95% CI 0.46-1.01, p-trend = 0.023) or with higher clinical stage (cT2b-T4 quartile 4 vs 1 relative RR 0.49, 95% CI 0.25-0.96, p-trend = 0.024). This association was not observed with the prudent pattern, which combines vegetables and fruits with low fat dairy products, whole grains and juices. The Western pattern did not show any association with prostate cancer risk. CONCLUSIONS Nutritional recommendations for prostate cancer prevention should consider whole dietary patterns instead of individual foods. We found important differences between the Mediterranean dietary pattern, which was associated with a lower risk of aggressive prostate cancer, and Western and prudent dietary patterns, which had no relationship with prostate cancer risk.
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Affiliation(s)
- Adela Castelló
- Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain.
| | - Elena Boldo
- Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology and Public Health, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain; Public Health Division of Gipuzkoa, BioDonostia Research Health Institute, San Sebastian, Spain
| | - Gemma Castaño-Vinyals
- ISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain; Medical Research Institute, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain
| | - Nuria Aragonés
- Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain
| | | | - Rosana Peiró
- Consortium for Biomedical Research in Epidemiology and Public Health, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain; Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana FISABIO-Salud Pública, Valencia, Spain
| | - Jose Juan Jimenez-Moleón
- Consortium for Biomedical Research in Epidemiology and Public Health, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain; Instituto de Investigación Biosanitaria de Granada and Department of Preventive Medicine and Public Health, School of Medicine. University of Granada, Granada, Spain
| | - Juan Alguacil
- Centro de Investigación en Salud y Medio Ambiente. Universidad de Huelva, Huelva, Spain
| | - Adonina Tardón
- Consortium for Biomedical Research in Epidemiology and Public Health, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain; Facultad de Medicina, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
| | | | - Virginia Lope
- Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain
| | | | - Lourdes Mengual
- Laboratory and Department of Urology, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain; Centre de Recerca Biomèdica CELLEX, Barcelona, Spain
| | - Manolis Kogevinas
- ISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain; Medical Research Institute, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain
| | - Marina Pollán
- Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain
| | - Beatriz Pérez-Gómez
- Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Instituto de Salud Carlos III, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Madrid, Spain
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24
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Ashton L, Williams R, Wood L, Schumacher T, Burrows T, Rollo M, Pezdirc K, Callister R, Collins C. Comparison of Australian Recommended Food Score (ARFS) and Plasma Carotenoid Concentrations: A Validation Study in Adults. Nutrients 2017; 9:nu9080888. [PMID: 28817083 PMCID: PMC5579681 DOI: 10.3390/nu9080888] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 08/10/2017] [Accepted: 08/15/2017] [Indexed: 12/29/2022] Open
Abstract
Diet quality indices can predict nutritional adequacy of usual intake, but validity should be determined. The aim was to assess the validity of total and sub-scale score within the Australian Recommended Food Score (ARFS), in relation to fasting plasma carotenoid concentrations. Diet quality and fasting plasma carotenoid concentrations were assessed in 99 overweight and obese adults (49.5% female, aged 44.6 ± 9.9 years) at baseline and after three months (198 paired observations). Associations were assessed using Spearman’s correlation coefficients and regression analysis, and agreement using weighted kappa (Kw). Small, significantly positive correlations were found between total ARFS and plasma concentrations of total carotenoids (r = 0.17, p < 0.05), β-cryptoxanthin (r = 0.18, p < 0.05), β-carotene (r = 0.20, p < 0.01), and α-carotene (r = 0.19, p < 0.01). Significant agreement between ARFS categories and plasma carotenoid concentrations was found for total carotenoids (Kw 0.12, p = 0.02), β-carotene (Kw 0.14, p < 0.01), and α-carotene (Kw 0.13, p < 0.01). In fully-adjusted regression models the only signification association with ARFS total score was for α-carotene (β = 0.19, p < 0.01), while ARFS meat and fruit sub-scales demonstrated significant relationships with α-carotene, β-carotene, and total carotenoids (p < 0.05). The weak associations highlight the issues with self-reporting dietary intakes in overweight and obese populations. Further research is required to evaluate the use of the ARFS in more diverse populations.
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Affiliation(s)
- Lee Ashton
- Faculty of Health and Medicine, School of Health Sciences, University of Newcastle, Callaghan, NSW 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW 2308, Australia.
| | - Rebecca Williams
- Faculty of Health and Medicine, School of Health Sciences, University of Newcastle, Callaghan, NSW 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW 2308, Australia.
| | - Lisa Wood
- Priority Research Centre in Physical Activity and Nutrition, Faculty of Health and Medicine, School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW 2308, Australia.
| | - Tracy Schumacher
- Faculty of Health and Medicine, School of Health Sciences, University of Newcastle, Callaghan, NSW 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW 2308, Australia.
- Gomeroi gaaynggal Centre, Department of Rural Health, University of Newcastle, Tamworth, NSW 2340, Australia.
| | - Tracy Burrows
- Faculty of Health and Medicine, School of Health Sciences, University of Newcastle, Callaghan, NSW 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW 2308, Australia.
| | - Megan Rollo
- Faculty of Health and Medicine, School of Health Sciences, University of Newcastle, Callaghan, NSW 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW 2308, Australia.
| | - Kristine Pezdirc
- Faculty of Health and Medicine, School of Health Sciences, University of Newcastle, Callaghan, NSW 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW 2308, Australia.
| | - Robin Callister
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, Faculty of Health and Medicine, School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW 2308, Australia.
| | - Clare Collins
- Faculty of Health and Medicine, School of Health Sciences, University of Newcastle, Callaghan, NSW 2308, Australia.
- Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW 2308, Australia.
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25
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Castelló A, Boldo E, Pérez-Gómez B, Lope V, Altzibar JM, Martín V, Castaño-Vinyals G, Guevara M, Dierssen-Sotos T, Tardón A, Moreno V, Puig-Vives M, Llorens-Ivorra C, Alguacil J, Gómez-Acebo I, Castilla J, Gràcia-Lavedán E, Dávila-Batista V, Kogevinas M, Aragonés N, Amiano P, Pollán M. Adherence to the Western, Prudent and Mediterranean dietary patterns and breast cancer risk: MCC-Spain study. Maturitas 2017; 103:8-15. [PMID: 28778338 DOI: 10.1016/j.maturitas.2017.06.020] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Revised: 06/01/2017] [Accepted: 06/09/2017] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To externally validate the previously identified effect on breast cancer risk of the Western, Prudent and Mediterranean dietary patterns. STUDY DESIGN MCC-Spain is a multicase-control study that collected epidemiological information on 1181 incident cases of female breast cancer and 1682 healthy controls from 10 Spanish provinces. Three dietary patterns derived in another Spanish case-control study were analysed in the MCC-Spain study. These patterns were termed Western (high intakes of fatty and sugary products and red and processed meat), Prudent (high intakes of low-fat dairy products, vegetables, fruits, whole grains and juices) and Mediterranean (high intake of fish, vegetables, legumes, boiled potatoes, fruits, olives, and vegetable oil, and a low intake of juices). Their association with breast cancer was assessed using logistic regression models with random province-specific intercepts considering an interaction with menopausal status. Risk according to tumour subtypes - based on oestrogen (ER), progesterone (PR) and human epidermal growth factor 2 (HER2) receptors (ER+/PR+ & HER2-; HER2+; ER-/PR- & HER2-) - was evaluated with multinomial regression models. MAIN OUTCOME MEASURES Breast cancer and histological subtype. RESULTS Our results confirm most of the associations found in the previous case-control study. A high adherence to the Western dietary pattern seems to increase breast cancer risk in both premenopausal women (OR4thvs.1stquartile (95% CI):1.68 (1.02;2.79); OR1SD-increase (95% CI):1.19 (1.02;1.40)) and postmenopausal women (OR4thvs.1stquartile(95% CI):1.48(1.07;2.05); OR1SD-increase(95% CI): 1.14 (1.01;1.29)). While high adherence to the Prudent pattern did not show any effect on breast cancer, the Mediterranean dietary pattern seemed to be protective, but only among postmenopausal women (OR4thvs.1stquartile (95% CI): 0.72 (95% CI 0.53;0.98); p-int=0.075). There were no significant differences by tumour subtype. CONCLUSION Dietary recommendations based on a departure from the Western dietary pattern in favour of the Mediterranean diet could reduce breast cancer risk in the general population.
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Affiliation(s)
- Adela Castelló
- Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222, Madrid, Spain.
| | - Elena Boldo
- Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222, Madrid, Spain.
| | - Beatriz Pérez-Gómez
- Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222, Madrid, Spain.
| | - Virginia Lope
- Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222, Madrid, Spain.
| | - Jone M Altzibar
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Breast Cancer Screening Program, Osakidetza-Health Basque Region Service, Avenida Navarra, 4, 20013, San Sebastián, Spain.
| | - Vicente Martín
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud, Universidad de León, Campus Vegazana, s/n, 24071, León, Spain.
| | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain.
| | - Marcela Guevara
- Early Detection Section, Public Health Institute of Navarra, Calle Leyre 15, 31003, Pamplona, Spain.
| | - Trinidad Dierssen-Sotos
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Universidad de Cantabria - IDIVAL, Avenida Cardenal Herrera Oria s/n, 39011 Santander, Spain.
| | - Adonina Tardón
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Instituto Universitario de Oncología, Universidad de Oviedo, Facultad de Medicina, Planta 7, Campus de El Cristo B, 33006, Oviedo, Spain.
| | - Víctor Moreno
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; IDIBELL-Catalan Institute of Oncology, Gran Via km 2.7, 08907, L'Hospitalet de Llobregat, Spain; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge, Pavelló de Govern, Feixa Llarga s/n, 08907, L'Hospitalet del Llobregat, Spain.
| | - Montserrat Puig-Vives
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona Biomedical Research Institute (IdiBGi), Carrer del Sol 15, 17004 Girona, Spain.
| | - Cristóbal Llorens-Ivorra
- Centro de Salud Pública de Dénia, Consellería de Sanidad Universal y Salud Pública, Plaza Jaime I, 5, 03700, Denia, Spain; Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Avda. Cataluña, 21, 46020, Valencia, Spain.
| | - Juan Alguacil
- Centro de Investigación en Salud y Medio Ambiente (CYSMA), Universidad de Huelva, Campus Universitario de El Carmen, 21071, Huelva, Spain.
| | - Inés Gómez-Acebo
- Universidad de Cantabria - IDIVAL, Avenida Cardenal Herrera Oria s/n, 39011 Santander, Spain.
| | - Jesús Castilla
- Early Detection Section, Public Health Institute of Navarra, Calle Leyre 15, 31003, Pamplona, Spain.
| | - Esther Gràcia-Lavedán
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain.
| | - Verónica Dávila-Batista
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud, Universidad de León, Campus Vegazana, s/n, 24071, León, Spain.
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain.
| | - Nuria Aragonés
- Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222, Madrid, Spain.
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Public Health Department of Gipuzkoa, Government of the Basque Country, Avenida Navarra, 4, 20013, San Sebastian, Spain; Biodonostia Research Institute, Paseo Dr Beguiristain s/n, 20014, San Sebastian, Spain.
| | - Marina Pollán
- Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222, Madrid, Spain.
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26
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Romaguera D, Gracia-Lavedan E, Molinuevo A, de Batlle J, Mendez M, Moreno V, Vidal C, Castelló A, Pérez-Gómez B, Martín V, Molina AJ, Dávila-Batista V, Dierssen-Sotos T, Gómez-Acebo I, Llorca J, Guevara M, Castilla J, Urtiaga C, Llorens-Ivorra C, Fernández-Tardón G, Tardón A, Lorca JA, Marcos-Gragera R, Huerta JM, Olmedo-Requena R, Jimenez-Moleon JJ, Altzibar J, de Sanjosé S, Pollán M, Aragonés N, Castaño-Vinyals G, Kogevinas M, Amiano P. Adherence to nutrition-based cancer prevention guidelines and breast, prostate and colorectal cancer risk in the MCC-Spain case-control study. Int J Cancer 2017; 141:83-93. [PMID: 28380695 DOI: 10.1002/ijc.30722] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2016] [Accepted: 03/16/2017] [Indexed: 01/02/2023]
Abstract
Prostate, breast and colorectal cancer are the most common tumours in Spain. The aim of the present study was to evaluate the association between adherence to nutrition-based guidelines for cancer prevention and prostate, breast and colorectal cancer, in the MCC-Spain case-control study. A total of 1,718 colorectal, 1,343 breast and 864 prostate cancer cases and 3,431 population-based controls recruited between 2007 and 2012, were included in the present study. The World Cancer Research Fund/American Institute for Cancer Research (WCRC/AICR) score based on six recommendations for cancer prevention (on body fatness, physical activity, foods and drinks that promote weight gain, plant foods, animal foods and alcoholic drinks; score range 0-6) was constructed. We used unconditional logistic regression analysis adjusting for potential confounders. One-point increment in the WCRF/AICR score was associated with 25% (95% CI 19-30%) lower risk of colorectal, and 15% (95% CI 7-22%) lower risk of breast cancer; no association with prostate cancer was detected, except for cases with a Gleason score ≥7 (poorly differentiated/undifferentiated tumours) (OR 0.87, 95% CI 0.76-0.99). These results add to the wealth of evidence indicating that a great proportion of common cancer cases could be avoided by adopting healthy lifestyle habits.
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Affiliation(s)
- Dora Romaguera
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,Balearic Islands Health Research Institute (IdISBa), University Hospital Son Espases, Palma de Mallorca, Spain.,CIBER Fisiopathology of Obesity and Nutrition (CIBER-OBN), Health Research Institute Carlos III, Madrid, Spain
| | - Esther Gracia-Lavedan
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain
| | - Amaia Molinuevo
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain
| | - Jordi de Batlle
- IRBLleida, Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova, Lleida, Spain
| | - Michelle Mendez
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC.,Carolina Population Center and Lineberger Cancer Center, University of North Carolina, Chapel Hill, NC
| | - Victor Moreno
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,IDIBELL-Catalan Institute of Oncology, L'Hospitalet de Llobregat, Spain.,Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge, L'Hospitalet del Llobregat, Barcelona, Spain
| | - Carmen Vidal
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,IDIBELL-Catalan Institute of Oncology, L'Hospitalet de Llobregat, Spain.,Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge, L'Hospitalet del Llobregat, Barcelona, Spain
| | - Adela Castelló
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.,Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Majadahonda, Madrid, Spain
| | - Beatriz Pérez-Gómez
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.,Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Majadahonda, Madrid, Spain
| | - Vicente Martín
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Research Group on Gene-Environment Interactions and Health, University of León, León, Spain
| | - Antonio J Molina
- Research Group on Gene-Environment Interactions and Health, University of León, León, Spain
| | | | - Trinidad Dierssen-Sotos
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,University of Cantabria-IDIVAL, Santander, Spain
| | - Inés Gómez-Acebo
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,University of Cantabria-IDIVAL, Santander, Spain
| | - Javier Llorca
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,University of Cantabria-IDIVAL, Santander, Spain
| | - Marcela Guevara
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Instituto de Salud Pública de Navarra, IdiSNA, Pamplona, Spain
| | - Jesús Castilla
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Instituto de Salud Pública de Navarra, IdiSNA, Pamplona, Spain
| | - Carmen Urtiaga
- Health Department, Public Health Division of Gipuzkoa, Basque Region, Spain
| | - Cristóbal Llorens-Ivorra
- Centro de Salud Pública de Dénia. Consellería de Sanidad Universal y Salud Pública, Generalitat Valenciana, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Valencia, Spain
| | - Guillermo Fernández-Tardón
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,IUOPA University of Oviedo, Oviedo, Spain
| | - Adonina Tardón
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,IUOPA University of Oviedo, Oviedo, Spain
| | - José Andrés Lorca
- Centro de Investigación en Salud y Medio Ambiente (CYSMA), Universidad de Huelva, Huelva, Spain
| | - Rafael Marcos-Gragera
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan Department of Health Government of Catalonia, Catalan Institute of Oncology, Girona, Spain
| | - José María Huerta
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Rocío Olmedo-Requena
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, University of Granada, Spain.,Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Complejo Hospitales Universitarios de Granada/Universidad de Granada, Spain
| | - José Juan Jimenez-Moleon
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Department of Preventive Medicine and Public Health, University of Granada, Spain.,Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Complejo Hospitales Universitarios de Granada/Universidad de Granada, Spain
| | - Jone Altzibar
- Breast Cancer Detection Programme, Osakidetza-Health Basque Service, San Sebastian, Gipuzkoa, Spain
| | - Silvia de Sanjosé
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Unit of Infections and Cancer, Cancer Epidemiology Research Programme, IDIBELL, Catalan Institute of Oncology, Barcelona, Spain
| | - Marina Pollán
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.,Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Majadahonda, Madrid, Spain
| | - Núria Aragonés
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Cancer Epidemiology Unit, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.,Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Majadahonda, Madrid, Spain
| | - Gemma Castaño-Vinyals
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Hospital del Mar Medical Research Institute, Barcelona, Spain.,University Pompeu Fabra (UPF), Barcelona, Spain
| | - Manolis Kogevinas
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.,CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Hospital del Mar Medical Research Institute, Barcelona, Spain.,University Pompeu Fabra (UPF), Barcelona, Spain
| | - Pilar Amiano
- CIBER Epidemiology and Public Health (CIBER-ESP), Health Research Institute Carlos III, Madrid, Spain.,Health Department, Public Health Division of Gipuzkoa, Basque Region, Spain
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Lassale C, Castetbon K, Laporte F, Deschamps V, Vernay M, Camilleri GM, Faure P, Hercberg S, Galan P, Kesse-Guyot E. Correlations between Fruit, Vegetables, Fish, Vitamins, and Fatty Acids Estimated by Web-Based Nonconsecutive Dietary Records and Respective Biomarkers of Nutritional Status. J Acad Nutr Diet 2016; 116:427-438.e5. [DOI: 10.1016/j.jand.2015.09.017] [Citation(s) in RCA: 107] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2015] [Accepted: 09/21/2015] [Indexed: 12/11/2022]
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Relative validity and reproducibility of a parent-administered semi-quantitative FFQ for assessing food intake in Danish children aged 3-9 years. Public Health Nutr 2015; 19:1184-94. [PMID: 26434501 DOI: 10.1017/s136898001500275x] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To assess the relative validity and reproducibility of the semi-quantitative FFQ (SFFQ) applied in the evaluation of a community intervention study, SoL-Bornholm, for estimating food intakes. DESIGN The reference measure was a 4 d estimated food record. The SFFQ was completed two times separated by a 1-month period in order to test reproducibility. SETTING The Capital Region and the Regional Municipality of Bornholm, Denmark. SUBJECTS A total of fifty-four children aged 3-9 years were enrolled in the study. RESULTS In terms of validity, the SFFQ generally overestimated intakes compared with the food records, especially for vegetables. For most intakes, the mean difference increased with increasing intake. Gross misclassification was on average higher for energy and nutrients (17%) than for foods (8%). Spearman correlation coefficients were significant for twelve out of fourteen intakes, ranging from 0·29 to 0·63 for foods and from 0·12 to 0·48 for energy and nutrients. Comparing the repeated SFFQ administrations, the intakes of the first SFFQ were slightly higher than those of the second SFFQ. Gross misclassification was low for most intakes; on average 6% for foods and 8% for energy and nutrients. Intra-class correlations were significant for all intakes, ranging from 0·30 to 0·82 for foods and from 0·46 to 0·81 for energy and nutrients. CONCLUSIONS The results indicate that the SFFQ gives reproducible estimates. The relative validity of the SFFQ was low to moderate for most intakes but comparable to other studies among children.
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Relative validity and reproducibility of an FFQ to determine nutrient intakes of New Zealand toddlers aged 12-24 months. Public Health Nutr 2015; 18:3265-71. [PMID: 25824599 DOI: 10.1017/s1368980015000841] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE The study objective was to determine the relative validity and reproducibility of a modified FFQ for ranking the nutrient intakes of New Zealand toddlers aged 12-24 months. DESIGN Cross-sectional study. SETTING Dunedin, New Zealand. SUBJECTS One hundred and fifty-two participants completed a ninety-five-item FFQ twice, and five days of weighed diet recording (WDR), over one month. Validity and reproducibility were assessed for crude data and for data that were weighted for total fruit and vegetable intake (FV-adjusted). RESULTS De-attenuated correlations between FV-adjusted FFQ data and WDR data ranged from 0.45 (Zn) to 0.77 (Ca). The percentage classified to the correct WDR quartile by the FV-adjusted FFQ data ranged from 34.6% (total fat, Zn) to 50.3% (Fe). Average gross misclassification was 3%. Bland-Altman statistics showed crude data had a range of 128-178% agreement with the WDR and mean FV-adjusted intakes had 112-160% agreement. FV-adjusted intra-class correlations, assessing reproducibility, ranged from 0.65 (vitamin C) to 0.75 (Ca). CONCLUSIONS The Eating Assessment in Toddlers (EAT) FFQ showed acceptable to good relative validity, and good reproducibility, for ranking participants' nutrient intake and is able to identify toddlers at extremes of the nutrient intake distribution. It will be a useful tool for investigating toddlers' nutrient intakes in studies that require a method of dietary assessment with low respondent burden.
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Sarmento RA, Antonio JP, Riboldi BP, Montenegro KR, Friedman R, de Azevedo MJ, de Almeida JC. Reproducibility and validity of a quantitative FFQ designed for patients with type 2 diabetes mellitus from southern Brazil. Public Health Nutr 2014; 17:2237-45. [PMID: 24107661 PMCID: PMC10282628 DOI: 10.1017/s1368980013002644] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2013] [Revised: 08/11/2013] [Accepted: 08/25/2013] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To evaluate the reproducibility and validity of a previously constructed FFQ to assess the usual diet of patients with type 2 diabetes mellitus (T2DM). DESIGN Cross-sectional survey using two quantitative FFQ (1-month interval) supported by a food photograph portfolio, a 3 d weighed diet record (WDR) and urinary N output measurement (as a biomarker of protein intake). SETTING Group of Nutrition in Endocrinology, southern Brazil. SUBJECTS Out-patients with T2DM. RESULTS From a total of 104 eligible T2DM patients, eighty-eight were included in the evaluation of FFQ reproducibility and seventy-two provided data for the validity study. The intakes estimated from the two FFQ did not differ (P > 0·05) and the correlation coefficients were significant (P < 0·01) for energy and nutrients, ranging from 0·451 (soluble fibre) to 0·936 (PUFA). Regarding the validity evaluation, data from the FFQ were higher than those from the WDR for total (28·3%), soluble (27·4%) and insoluble fibres (29·1%), and SFA (13·5%), MUFA (11·1 %) and total lipids (9·2%; all P < 0·05). There were significant correlation coefficients between the FFQ and WDR for most nutrients, when adjusted for energy intake and de-attenuated. Also, the Bland-Altman plots between the FFQ and WDR for energy and macronutrient intakes showed that the FFQ may be used as alternative method to the WDR. The validity coefficient (using the method of triads) for the FFQ protein intake was 0·522 (95% CI 0·414, 0·597). CONCLUSIONS This quantitative FFQ was valid and precise to assess the usual diet of patients with T2DM, according to its validity and reproducibility.
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Affiliation(s)
- Roberta Aguiar Sarmento
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2350, Prédio 12, 4° andar, 90035-003 Porto Alegre, Rio Grande do Sul, Brazil
| | - Juliana Peçanha Antonio
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2350, Prédio 12, 4° andar, 90035-003 Porto Alegre, Rio Grande do Sul, Brazil
| | - Bárbara Pelicioli Riboldi
- Nutrition College, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Karina Romeu Montenegro
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2350, Prédio 12, 4° andar, 90035-003 Porto Alegre, Rio Grande do Sul, Brazil
- Nutrition College, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Rogério Friedman
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2350, Prédio 12, 4° andar, 90035-003 Porto Alegre, Rio Grande do Sul, Brazil
- Department of Internal Medicine, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Mirela Jobim de Azevedo
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2350, Prédio 12, 4° andar, 90035-003 Porto Alegre, Rio Grande do Sul, Brazil
- Department of Internal Medicine, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Jussara Carnevale de Almeida
- Endocrinology Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2350, Prédio 12, 4° andar, 90035-003 Porto Alegre, Rio Grande do Sul, Brazil
- Nutrition College, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Department of Internal Medicine, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
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Williams EA, Welfare M, Spiers A, Hill MH, Bal W, Gibney ER, Duckworth Y, Powers HJ, Mathers JC. Systemic folate status, rectal mucosal folate concentration and dietary intake in patients at differential risk of bowel cancer (The FAB2 Study). Eur J Nutr 2012; 52:1801-10. [PMID: 23271614 DOI: 10.1007/s00394-012-0483-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2012] [Accepted: 12/09/2012] [Indexed: 12/14/2022]
Abstract
BACKGROUND/OBJECTIVES Folate has been strongly implicated in the aetiology of colorectal cancer. However, the relationship between dietary folate intake, rectal mucosal folate status and colorectal cancer risk is uncertain. The study aimed to estimate nutrient intakes and measure systemic folate status and rectal mucosal folate concentration in people at differential risk of developing colorectal cancer. METHODS Two hundred and twenty-eight individuals were recruited from gastroenterology clinics and subdivided into three patient groups: untreated colorectal cancer (n = 43), adenomatous polyps (n = 90) or normal bowel (n = 95). Biopsies from macroscopically normal rectal mucosa and blood were collected and used for the measurement of rectal mucosal 5-methyltetrahydrofolate (5-MeTHF) and systemic markers of folate status, respectively. Nutrient intake was estimated using a validated food frequency questionnaire. RESULTS Dietary intake variables, plasma 5-MeTHF and red cell folate and plasma homocysteine concentrations were similar in all three subject groups and 95% CI fell within normal range for each variable. Rectal mucosal 5-MeTHF concentration was higher in the normal mucosa of adenomatous polyp patients than in normal subjects (P = 0.055). Rectal mucosal 5-MeTHF was associated significantly with plasma folate (P < 0.001, r = 0.294), red cell folate (P = 0.014, r = 0.305), plasma homocysteine (P = 0.017, r = -0.163) and dietary folate intake (P = 0.036, r = 0.152). CONCLUSIONS This study demonstrates adequate folate status of patients attending gastroenterology clinics for the investigation of bowel symptoms, with no significant difference in dietary intakes or systemic folate status indices according to diagnosis. Rectal mucosal 5-MeTHF concentrations were elevated in adenomatous polyp patients, but failed to reach significance. Further studies are required to determine the biological significance of this observation.
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Affiliation(s)
- Elizabeth A Williams
- Human Nutrition Unit, Department of Oncology, Faculty of Medicine, Dentistry and Health Sciences, University of Sheffield, Sheffield, S10 2RX, UK,
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Vitamin C intake from diary recordings and risk of breast cancer in the UK Dietary Cohort Consortium. Eur J Clin Nutr 2011; 66:561-8. [PMID: 22127331 DOI: 10.1038/ejcn.2011.197] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
BACKGROUND/OBJECTIVES Vitamin C intake has been inversely associated with breast cancer risk in case-control studies, but not in meta-analyses of cohort studies using Food Frequency Questionnaires, which can over-report fruit and vegetable intake, the main source of vitamin C. This is the first study to investigate associations between vitamin C intake and breast cancer risk using food diaries. SUBJECTS/METHODS Estimated dietary vitamin C intake was derived from 4-7 day food diaries pooled from five prospective studies in the UK Dietary Cohort Consortium. This nested case-control study of 707 incident breast cancer cases and 2144 matched controls examined breast cancer risk in relation to dietary vitamin C intake using conditional logistic regression adjusting for relevant covariates. Additionally, total vitamin C intake from supplements and diet was analysed in three cohorts. RESULTS No evidence of associations was observed between breast cancer risk and vitamin C intake analysed for dietary vitamin C intake (odds ratios (OR)=0.98 per 60 mg/day, 95% confidence interval (CI): 0.88-1.09, P (trend)=0.7), dietary vitamin C density (OR=0.97 per 60 mg/day, 95% CI: 0.87-1.07, P (trend)=0.5 ) or total vitamin C intake (OR=1.01 per 60 mg/day, 95% CI: 0.99-1.03, P (trend)=0.3). Additionally, there was no significant association for post-menopausal women (OR=1.02 per 60 mg/day, 95% CI: 0.99-1.05, P (trend)=0.3). CONCLUSIONS This pooled analysis of individual UK women found no evidence of significant associations between breast cancer incidence and dietary or total vitamin C intake derived uniquely from detailed diary recordings.
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Arab L, Cambou MC, Craft N, Wesseling-Perry K, Jardack P, Ang A. Racial differences in correlations between reported dietary intakes of carotenoids and their concentration biomarkers. Am J Clin Nutr 2011; 93:1102-8. [PMID: 21389177 PMCID: PMC3076659 DOI: 10.3945/ajcn.110.010322] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2010] [Accepted: 02/17/2011] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The predictive ability of dietary assessment methods to estimate specific circulating plasma carotenoid concentrations has been compared between African Americans and whites in only one study to date. OBJECTIVE The predictive abilities of 24-h dietary recalls and a food-frequency questionnaire in reporting dietary carotenoids when measured against concentration biomarkers were assessed in African Americans and compared with the findings in whites. DESIGN Data were collected from 250 generally healthy, nonsmoking white and African American participants aged 21-69 y, who completed 8 self-administered online 24-h dietary recalls and one National Cancer Institute diet-history questionnaire in the University of California Los Angeles (UCLA) Energetics Study. Mean intakes from 4-d dietary recalls were correlated with plasma xanthophyll concentrations (lutein + zeaxanthin and β-cryptoxanthin) and hydrocarbon carotenoids (lycopene, α-carotene, and β-carotene). RESULTS Adjusted correlations of plasma carotenoids with reported dietary intakes for African Americans in the 24-h dietary recall ranged from 0.03 for β-carotene to 0.40 for β-cryptoxanthin. For whites, the correlations ranged from 0.13 for lycopene to 0.51 for β-cryptoxanthin. CONCLUSIONS Despite stronger validity in reported energy intakes for African Americans than for whites in the 24-h dietary recall in the Energetics Study, both recalls and food-frequency dietary assessment methods yielded lower correlations in African Americans than in whites. This finding might be attributable to reporting differences in both dietary sources and food preparation or to racially related genetic variants influencing circulating concentrations. The current findings support the need to account for differences in race, age, sex, and body mass index in regression calibrations of dietary reports and measurement error adjustments.
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Affiliation(s)
- Lenore Arab
- General Internal Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
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Abstract
OBJECTIVE To adapt and test the relative validity of an instrument measuring the usual food intake of 6-10-year-old children. DESIGN An FFQ encompassing the preceding 6 months was adapted and compared with the average of three 24 h dietary recalls. SETTING Private and public schools in Porto Alegre, capital city of Rio Grande do Sul, the southernmost state in Brazil, with 1·5 million inhabitants. SUBJECTS Children aged 6-10 years attending grades 1-4 in private and public schools in Porto Alegre. RESULTS Ninety-one children were studied. The FFQ overestimated all nutrients. Correlations with the values obtained by 24 h dietary recalls were mostly above 0·50. The deattenuated correlations increased for all nutrients. The κ coefficients for the adjusted nutrients varied from 0·12 (weak) to 0·34 (reasonable). Graphically, the FFQ was shown to underestimate some of the parameters and to overestimate others, with a wide CI for all nutrients. CONCLUSIONS The FFQ does not have the required relative validity to classify the intake levels of schoolchildren, and further investigation is required to understand the sources of error.
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Abstract
BACKGROUND No studies to date have demonstrated a clear association with breast cancer risk and dietary exposure to acrylamide. METHODS A 217-item food frequency questionnaire was used to estimate dietary acrylamide intake in 33,731 women aged 35-69 years from the UK Women's Cohort Study followed up for a median of 11 years. RESULTS In all, 1084 incident breast cancers occurred during follow-up. There was no evidence of an overall association between acrylamide intake and breast cancer (hazard ratio=1.08 per 10 μg day(-1), 95% CI: 0.98-1.18, P(trend)=0.1). There was a suggestion of a possible weak positive association between dietary acrylamide intake and premenopausal breast cancer after adjustment for potential confounders (hazard ratio=1.2, 95% CI: 1.0-1.3, P(trend)=0.008). There was no suggestion of any association for postmenopausal breast cancer (hazard ratio=1.0, 95% CI: 0.9-1.1, P(trend)=0.99). CONCLUSIONS There is no evidence of an association between dietary acrylamide intake and breast cancer. A weak association may exist with premenopausal breast cancer, but requires further investigation.
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Polymorphisms in xenobiotic metabolizing enzymes and diet influence colorectal adenoma risk. Pharmacogenet Genomics 2010; 20:315-26. [PMID: 20375710 DOI: 10.1097/fpc.0b013e3283395c6a] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVES We have earlier shown that diet and xenobiotic metabolizing enzyme genotypes influence colorectal cancer risk, and now investigate whether similar associations are seen in patients with premalignant colorectal adenomas (CRA), recruited during the pilot phase of the Scottish Bowel Screening Programme. METHODS Nineteen polymorphisms in 13 genes [cytochrome P450 (P450), glutathione S-transferase (GST), N-acetyl transferase, quinone reductase (NQ01) and microsomal epoxide hydrolase (EPHX1) genes] were genotyped using multiplex PCR or Taqman-based allelic discrimination assays and analyzed in conjunction with diet, assessed by food frequency questionnaire, in a case-control study [317 CRA cases (308 cases genotyped), 296 controls]. Findings significant at a nominal 5% level are reported. RESULTS CRA risk was inversely associated with fruit (P=0.02, test for trend) and vegetable (P=0.001, test for trend) consumption. P450 CYP2C9*3 heterozygotes had reduced CRA risk compared with homozygotes for the reference allele [odds ratio (OR): 0.60; 95% confidence interval (CI): 0.36-0.99], whereas CYP2D6*4 homozygotes (OR: 2.72; 95% CI: 1.18-6.27) and GSTM1 'null' individuals (OR: 1.43; 95% CI: 1.04-1.98) were at increased risk. The protective effect of fruit consumption was confined to GSTP1 (Ala114Val) reference allele homozygotes (OR: 0.49; 95% CI: 0.34-0.71, P=0.03 for interaction). CRA risk was not associated with meat consumption, although a significant interaction between red meat consumption and EPHX1 (His139Arg) genotype was noted (P=0.02 for interaction). CONCLUSION We report the novel associations between P450 genotype and CRA risk, and highlight the risk association with GSTM1 genotype, common to our CRA and cancer case-control series. In addition, we report a novel modifying influence of GSTP1 genotype on dietary chemoprevention. These novel findings require independent confirmation.
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Bakolis I, Hooper R, Thompson RL, Shaheen SO. Dietary patterns and adult asthma: population-based case-control study. Allergy 2010; 65:606-15. [PMID: 19845575 DOI: 10.1111/j.1398-9995.2009.02215.x] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
BACKGROUND Epidemiological studies of diet and asthma have focused on relations with intakes of individual nutrients and foods and evidence has been conflicting. Few studies have examined associations with dietary patterns. METHODS We carried out a population-based case-control study of asthma in adults aged between 16 and 50 in South London, UK. Information about usual diet was obtained by food frequency questionnaire and we used principal components analysis to define five dietary patterns in controls. We used logistic and linear regression, controlling for confounders, to relate these patterns to asthma, asthma severity, rhinitis and chronic bronchitis in 599 cases and 854 controls. RESULTS Overall, there was weak evidence that a 'vegetarian' dietary pattern was positively associated with asthma [adjusted odds ratio comparing top vs bottom quintile of pattern score 1.43 (95% CI: 0.93-2.20), P trend 0.075], and a 'traditional' pattern (meat and vegetables) was negatively associated [OR 0.68 (0.45-1.03), P trend 0.071]. These associations were stronger amongst nonsupplement users (P trend 0.030 and 0.001, respectively), and the association with the 'vegetarian' pattern was stronger amongst whites (P trend 0.008). No associations were observed with asthma severity. A 'prudent' dietary pattern (wholemeal bread, fish and vegetables) was positively associated with chronic bronchitis [OR 2.61 (1.13-6.05), P trend 0.025], especially amongst nonsupplement users (P trend 0.002). CONCLUSIONS Overall there were no clear relations between dietary patterns and adult asthma; associations in nonsupplement users and whites require confirmation. The finding for chronic bronchitis was unexpected and also requires replication.
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Affiliation(s)
- I Bakolis
- National Heart and Lung Institute, Imperial College London, UK
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Cade JE, Burley VJ, Warm DL, Thompson RL, Margetts BM. Food-frequency questionnaires: a review of their design, validation and utilisation. Nutr Res Rev 2009; 17:5-22. [PMID: 19079912 DOI: 10.1079/nrr200370] [Citation(s) in RCA: 333] [Impact Index Per Article: 22.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
A review of the literature concerning the design, utilisation and validation of food-frequency questionnaires (FFQ) has been carried out using a semi-systematic approach to obtaining, reviewing and extracting data from articles. Databases were searched from 1980 to 1999. The present review identified 227 validation (from 1980 to September 1999) and 164 utilisation (for 1998 only) studies. A number of design issues have been evaluated through the present review. These include: the need to consider how portion sizes have been described, self-defined giving higher mean correlations; how an FFQ was administered, interviewer-administered giving higher mean correlations for some nutrients; how many items to include on an FFQ, those with the largest number of items having higher correlations. Validation techniques were described. Most validation studies involved comparing an FFQ against another dietary assessment method; only 19 % compared an FFQ to a biomarker. Measurement differences were most commonly assessed by correlation coefficients as opposed to other more appropriate methods. Mean correlation coefficients were highest for Ca and fat, and lowest for vitamin A and vegetables. The utilisation studies showed that FFQ were most commonly used in cross-sectional surveys, with ninety-three of the FFQ being designed to be disease-specific. The present review results were presented to a group of experts and a consensus arrived at concerning the development, validation and use of FFQ. Recommendations derived from the consensus arising from the literature review are presented as an appendix to the present paper.
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Affiliation(s)
- J E Cade
- Nutritional Epidemiology Group, University of Leeds, Leeds LS2 9JT, UK.
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Maynard MJ, Blane D. Dietary assessment in early old age: experience from the Boyd Orr cohort. Eur J Clin Nutr 2009; 63 Suppl 1:S58-63. [PMID: 19190646 DOI: 10.1038/ejcn.2008.66] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND The assessment of the impact of data quality issues, such as omitting to answer questions on a food frequency questionnaire (FFQ), is important in all study populations, including those in early old age. Assumptions about the limited nature of diets of older participants may influence the treatment and interpretation of their dietary data. SUBJECTS/METHODS The Boyd Orr cohort is a long-term study based on 4999 UK men and women whose families took part in a survey of diet and health during 1937-1939. In 1997-1998, all 3182 traced, surviving study members, then aged 60 years and over, were sent a health and lifestyle questionnaire, including a 113-item FFQ, primarily to examine relationships between childhood and adult fruit, vegetable and antioxidant intakes. In-depth interviews were conducted with a purposively sampled subset of 31 respondents. RESULTS Of the 1475 subjects who returned the questionnaire, 11% (n=161) had missing data on their FFQ. Those who omitted answers to more than 10 questions (n=127; 8.6%) were more likely to be aged over 70, to be female, but no more likely to report being overweight than those with 10 or fewer missing answers. Follow-up by telephone or post to reassess missing FFQ data was successful for 102 of the subjects with more than 10 omitted answers. Mean intakes of energy, fruit and vegetables, and selected nutrients were significantly increased after reassessment. The use of 'cross-check' questions to weigh fruit and vegetable intake (n=1383) showed potentially systematic errors in the reporting of these foods, vitamin C and carotene. Analysis of interview data among a subset of participants partially challenged stereotypical views of the diets of older people with, for example, increased freedom in food choice associated with life transitions. CONCLUSIONS Food frequency questionnaires for those in early old age, as for others, need to meet competing demands of being comprehensive for those with varied diets, while not being so onerous that they deter completion. Reviewing questionnaires with participants remains important in this group, as omitting to answer questions on the FFQ does not necessarily equate to non-consumption. Qualitative interviews may aid in the interpretation of the quantitative data obtained.
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Affiliation(s)
- M J Maynard
- MRC Social and Public Health Sciences Unit, Glasgow, UK.
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Reproducibility of food and nutrient intake estimates using a semi-quantitative FFQ in Australian adults. Public Health Nutr 2009; 12:2359-65. [PMID: 19257921 DOI: 10.1017/s1368980009005023] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To assess the reproducibility of a 135-item self-administered semi-quantitative FFQ. DESIGN Control subjects who had previously completed an FFQ relating to usual dietary intake in a nationwide case-control study of cancer between November 2003 and April 2004 were randomly selected, re-contacted, and invited to complete the same FFQ a second time approximately one year later (between January and April 2005). Agreement between the two FFQ was compared using weighted kappa statistics and intraclass correlation coefficients (ICC) for food groups and nutrients. Summary questions, included in the FFQ, were used to assess overall intakes of vegetables, fruits and meat. SETTING General community in Australia. SUBJECTS One hundred men and women aged 22-79 years, randomly selected from the previous control population. RESULTS The weighted kappa and ICC measures of agreement for food groups were moderate to substantial for seventeen of the eighteen food groups. For nutrients, weighted kappa ranged from 0.44 for starch to 0.83 for alcohol while ICC ranged from 0.51 to 0.91 for the same nutrients. Estimates of meat, fruit and vegetable intake using summary questions were similar for both survey periods, but were significantly lower than estimates from summed individual food items. CONCLUSIONS The FFQ produced reproducible results and is reasonable in assessing the usual intake of various foods and nutrients among an Australian adult population.
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Giacomello A, Schmidt MI, Nunes MAA, Duncan BB, Soares RM, Manzolli P, Camey S. Validação relativa de Questionário de Freqüência Alimentar em gestantes usuárias de serviços do Sistema Único de Saúde em dois municípios no Rio Grande do Sul, Brasil. REVISTA BRASILEIRA DE SAÚDE MATERNO INFANTIL 2008. [DOI: 10.1590/s1519-38292008000400010] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
OBJETIVOS: avaliar o desempenho do Questionário de Frequência Alimentar (QFA), desenvolvido por Sichieri e Everhart, em medir o consumo alimentar de gestantes atendidas pelo Sistema Único de Saúde (SUS), comparando as estimativas de consumo de energia e nutrientes com as obtidas por recordatórios alimentares. MÉTODOS: foram realizadas duas entrevistas com gestantes em atendimento pré-natal em Bento Gonçalves e Porto Alegre, no Rio Grande do Sul, Brasil. Na primeira, foi aplicado o QFA e, depois, os recordatórios alimentares relativos aos dois dias prévios. Na segunda, foram obtidos novos recordatórios. Médias e limites de concordância para as diferenças entre as duas avaliações de ingestão alimentar foram calculadas conforme Bland-Altman. RESULTADOS: a diferença entre os métodos mostrou que o QFA superestimou o consumo de energia e nutrientes. O coeficiente de correlação ajustado para energia variou de 0,01 (gordura insaturada) a 0,47 (cálcio). Correlações maiores foram observadas para fibras, vitamina C, ácido fólico, cálcio e potássio. Em média, 30% das gestantes foram classificadas no mesmo quartil de consumo. CONCLUSÕES: o QFA pode ser uma ferramenta útil para avaliar consumo de gestantes em estudos epidemiológicos, contanto que sejam realizados esforços para melhorar seu desempenho. É necessário avaliar a influência de características sócio-demográficas e estado de saúde na validade do método.
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Affiliation(s)
| | | | | | | | | | | | - Suzi Camey
- Universidade Federal do Rio Grande do Sul, Brasil
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Nutritional methodologies and their use in inter-disciplinary antioxidant research. Food Chem 2008; 108:425-38. [DOI: 10.1016/j.foodchem.2007.10.076] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2007] [Revised: 10/11/2007] [Accepted: 10/29/2007] [Indexed: 11/20/2022]
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Thompson FE, Midthune D, Williams GC, Yaroch AL, Hurley TG, Resnicow K, Hebert JR, Toobert DJ, Greene GW, Peterson K, Nebeling L. Evaluation of a short dietary assessment instrument for percentage energy from fat in an intervention study. J Nutr 2008; 138:193S-199S. [PMID: 18156424 DOI: 10.1093/jn/138.1.193s] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The need for an inexpensive measure of dietary intake in intervention studies led to evaluation of the National Cancer Institute (NCI) Percentage Energy from Fat short instrument (PFat) in a subgroup of the Behavioral Change Consortium (BCC) intervention sites. The PFat's performance was evaluated using multiple nonconsecutive 24-h dietary recalls (24HR) as a reference instrument among participants at baseline in 4 demographically diverse intervention sites of the BCC. Mean estimates of percentage energy from fat for 24HR and PFat were within 2.1 percentage points of each other in all but 2 site/gender comparisons. 24HR and PFat estimates were not significantly different (P < 0.05) among men for 2 of 3 sites, and among women for 2 of 4 sites. Deattenuated Pearson correlation coefficients for the PFat and true intake (as estimated from the 24HR using a measurement error model) were significantly different from 0 (P < 0.05) for men and women in all sites, ranging from 0.52 to 0.77 among men and 0.36 to 0.59 among women. Besides gender and site, no other factors examined (age, education, smoking status, and BMI) consistently moderated validity estimates. If accurate assessment of diet at baseline (and presumably at follow-up) is essential, a more detailed instrument such as multiple 24HR may be warranted. The question of whether the PFat adequately measures change in diet is addressed in another article in this supplement.
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Affiliation(s)
- Frances E Thompson
- Applied Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD 20892-7344, USA.
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Hebert JR, Hurley TG, Peterson KE, Resnicow K, Thompson FE, Yaroch AL, Ehlers M, Midthune D, Williams GC, Greene GW, Nebeling L. Social desirability trait influences on self-reported dietary measures among diverse participants in a multicenter multiple risk factor trial. J Nutr 2008; 138:226S-234S. [PMID: 18156429 DOI: 10.1093/jn/138.1.226s] [Citation(s) in RCA: 135] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Data collected at 4 Behavioral Change Consortium sites were used to assess social desirability bias in self-reports derived from a dietary fat screener (PFat), a dietary fruit and vegetable screener (FVS), and a 1-item question on fruit and vegetable intake. Comparisons were made with mean intakes derived from up to 3 24-h recall interviews at baseline and follow-up (at 12 mo in 3 sites, 6 mo in the fourth). A social-desirability-related underestimate in fat intake on the PFat relative to the 24HR (percentage energy as fat) was evident in women [baseline b = -0.56 (P = 0.005); follow-up b = -0.62 (P < 0.001)]. There was an overestimate in FVS-derived fruit and vegetable consumption (servings/week) in men enrolled in any intervention at follow-up (b = 0.39, P = 0.05) vs. baseline (b = 0.04, P = 0.75). The 1-item fruit and vegetable question was associated with an overestimate at baseline in men according to SD score (b = 0.14, P = 0.02), especially men with less than college education (b = 0.23, P = 0.01). Women with less than college education expressed a similar bias at follow-up (b = 0.13, P = 0.02). Differences in the magnitude of bias according to gender, type of instrument used, and randomization condition are comparable to what has been seen for other instruments and have important implications for both measuring change in studies of diet and health outcomes and for developing methods to control for such biases.
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Affiliation(s)
- James R Hebert
- South Carolina Statewide Cancer Prevention and Control Program, Department of Epidemiology and Biostatistics, Arnold School of Public Health University of South Carolina, Columbia, SC 29208, USA.
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Williams GC, Hurley TG, Thompson FE, Midthune D, Yaroch AL, Resnicow K, Toobert DJ, Greene GW, Peterson K, Nebeling L, Patrick H, Hardin JW, Hebert JR. Performance of a short percentage energy from fat tool in measuring change in dietary intervention studies. J Nutr 2008; 138:212S-217S. [PMID: 18156427 DOI: 10.1093/jn/138.1.212s] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Measurement of percentage energy from fat is important in surveillance of populations and in epidemiologic studies examining relationships between diet and disease as well as for behavioral intervention studies seeking to change dietary behavior. The NCI percentage energy from fat screener (PFat) has adequately predicted percentage of energy from fat compared with 24-h recalls (24HR) in cross-sectional analyses. However, the instrument has not been evaluated for its ability to assess change of percentage energy from fat over time or in response to interventions to change dietary intake of fat. The objective of this analysis is to evaluate the performance of the PFat in assessing change in percentage energy intake from fat in a behavioral intervention setting. Four individual sites participating in the Behavior Change Consortium Nutrition Working Group administered both the PF at and multiple 24HR at baseline and follow-up to 278 participants. A measurement error model was used to assess agreement between the PFat and 24HR at baseline and follow-up. The PFat was consistent with 24HR in finding there was no significant change in percentage energy from fat as a result of the intervention. Both male and female participants in the intervention group demonstrated a significant increase in the correlation between PFat and 24HR from baseline to follow-up. Percentage energy from fat measured by PFat may be useful to provide estimates of change in mean intake of populations over time in longitudinal studies. Further methodologic research is called for in interventions producing significant changes and in diverse populations with adequate sample size.
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Affiliation(s)
- Geoffrey C Williams
- Department of Medicine, Clinical and Social Sciences in Psychology, University of Rochester, Rochester, NY 14642, USA.
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Mendez MA, Wynter S, Wilks R, Forrester T. Under- and overreporting of energy is related to obesity, lifestyle factors and food group intakes in Jamaican adults. Public Health Nutr 2007; 7:9-19. [PMID: 14972067 DOI: 10.1079/phn2003508] [Citation(s) in RCA: 101] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
AbstractObjective:Research in industrialised countries has documented a high prevalence of underreported energy intakes associated with characteristics such as obesity. This paper examines the prevalence, patterns and impact of energy under- and overreporting on diet–obesity relationships in a middle-income developing country.Design:A 70-item food-frequency questionnaire was used. Underreporters had reported energy intakes < 1.35 × basal metabolic rate (BMR), overreporters > 2.4 × BMR. Multinomial models were used to identify characteristics associated with implausible reporting. Intakes were compared across reporting groups to assess evidence of bias. Associations between diet and obesity were compared with and without adjustment for implausible reporting.Setting:Spanish Town, neighbouring the capital city of Kingston, Jamaica.Subjects:Eight hundred and ninety-one Jamaican adults, aged 25–75 years, were randomly recruited.Results:More women than men (38.6% vs. 22.5%) underreported, but more men overreported energy (23.7% vs. 16.0%). Underreporting was positively associated with obesity, special diets, smoking and age; age was inversely associated with overreporting. Underreporters estimated lower energy from potentially socially undesirable food groups (e.g. snacks) and higher intakes of ‘healthy’ foods (e.g. fruit) than did plausible reporters. For some of these food groups, significant differences in intakes among normal-weight versus obese subjects observed among plausible reporters were absent when implausible reporters were included. In models of food group–obesity associations, adjusting for implausible energy yielded more credible results that more closely resembled findings in plausible reporters.Conclusions:Energy under- and overreporting are highly prevalent in Jamaica. Adjusting for implausible reporting may help to reduce bias in diet–health outcome associations.
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Affiliation(s)
- Michelle A Mendez
- Carolina Population Center, University of North Carolina-Chapel Hill, CB# 8120, University Square, 123 West Franklin Street, Chapel Hill, NC 27516-2524, USA.
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Cade JE, Burley VJ, Greenwood DC. The UK Women's Cohort Study: comparison of vegetarians, fish-eaters and meat-eaters. Public Health Nutr 2007; 7:871-8. [PMID: 15482612 DOI: 10.1079/phn2004620] [Citation(s) in RCA: 95] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
AbstractBackground:This paper describes the development of the UK Women's Cohort Study and presents cohort baseline characteristics.Methods:In total, 35 372 women, aged 35–69 years at recruitment, were selected to ensure a wide range of dietary intakes. Diet was assessed by a 217-item food-frequency questionnaire (FFQ). Detailed lifestyle information was collected by postal questionnaire. Vegetarians, fish-eaters and meat-eaters were compared.Results:The cohort women are mainly white, well-educated, middle-class and married with children. They are health-conscious with only 11% current smokers and 58% taking dietary supplements. Twenty-eight per cent of subjects self-report as being vegetarian and 1% as vegan. However, only 18% are defined as 'vegetarian' from the FFQ. Fat provides 32% of energy; vitamin and mineral intakes are high, with a broad range of intakes. Meat-eaters are older, with a higher body mass index (BMI) and the lowest intakes of carbohydrate, fibre, vitamin C, folate, iron and calcium. Other fish-eaters are similar to vegetarians. Vegetarians have the lowest intakes of protein, fat and saturated fat. Oily fish-eaters have the lowest BMI; are the least likely to smoke or use full-fat milk; and are the most likely to use dietary supplements and consume the most fruit and vegetables. Oily fish-eaters have the highest total energy intake and vegetarians the lowest. Semi-skimmed milk, bread, potatoes, wine, bananas and muesli are important contributors to energy for all groups.Conclusion:A large cohort of middle-aged women has been created encompassing a wide range of different eating patterns, including diets currently of interest to research into protection against cancer and coronary heart disease. Participants will be followed up to study the effects of different food and nutrient intakes on long-term health outcomes.
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Affiliation(s)
- J E Cade
- Nutritional Epidemiology Group, University of Leeds, UK.
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Turner F, Smith G, Sachse C, Lightfoot T, Garner RC, Wolf CR, Forman D, Bishop DT, Barrett JH. Vegetable, fruit and meat consumption and potential risk modifying genes in relation to colorectal cancer. Int J Cancer 2004; 112:259-64. [PMID: 15352038 DOI: 10.1002/ijc.20404] [Citation(s) in RCA: 57] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Epidemiological evidence shows high red meat consumption to increase the risk of colorectal cancer, while the consumption of fruit and vegetables has been shown to be protective. Many genes have been identified that encode for enzymes involved in the metabolism of dietary carcinogens or anti-carcinogens. A study of 500 incident colorectal cancer cases and population controls, matched for age, sex and general practitioner, was conducted in the United Kingdom to investigate whether 6 such genes (CYP1A1, GSTT1, GSTM1, GSTP1, EPHX1 and NQO1) modify the relationship between diet and disease risk. Usual diet was estimated using a detailed questionnaire administered by interview. Fruit and vegetable consumption were both found to protect against colorectal cancer, while overall meat and red meat consumption were found to increase risk. There was some evidence of interaction between GSTT1 and vegetable consumption (p=0.006, not adjusted for multiple tests) but no evidence of interaction with GSTM1. The protective effect of vegetables was only seen in those with deficient or intermediate GSTT1 predicted phenotype [OR 0.3, 95% confidence interval (0.1, 0.6), and OR 0.6 (0.4, 0.96), OR 1.4 (0.3, 2.4) for those with fast phenotype], and a similar result was observed for cruciferous vegetables. There was also weak evidence of interaction between red meat intake and GSTT1 (p=0.06), GSTP1 (p=0.16, with p=0.02 after adjustment for potential confounders) and NQO1 predicted phenotype (p=0.01). Because of the multiple hypotheses tested in our study, these findings require independent confirmation.
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Affiliation(s)
- Faye Turner
- Genetic Epidemiology Division, Cancer Research UK Clinical Centre, St. James's University Hospital, Leeds, United Kingdom.
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Hampson G, Martin FC, Moffat K, Vaja S, Sankaralingam S, Cheung J, Blake GM, Fogelman I. Effects of dietary improvement on bone metabolism in elderly underweight women with osteoporosis: a randomised controlled trial. Osteoporos Int 2003; 14:750-6. [PMID: 12904840 DOI: 10.1007/s00198-003-1440-1] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2003] [Accepted: 05/23/2003] [Indexed: 11/25/2022]
Abstract
Malnutrition in elderly people contributes to osteoporosis and fracture. The aim of the study was to investigate the effects of nutritional improvement on bone metabolism in elderly community-dwelling women. A 12-month randomized controlled trial of 71 ambulant women aged > or =70 years with BMI < or =21 kg/m(2 )and osteoporosis at the hip was undertaken. They received either calcium (1 g) and vitamin D (800 units of cholecalciferol) only (group 1: n=35) or calcium/vitamin D and one or two cartons of a nutritional supplement drink which provided 300 Kcal, 12 g protein, 11.6 g fat and 36.8 g carbohydrate per carton (group 2: n=36). Body composition and bone mineral density (BMD) were assessed at baseline and 12 months. Biochemical markers of bone turnover were measured at baseline and at 1, 3, 6, 9 and 12 months. Group 2 gained significantly more weight [mean (SD) group 1: 0.15 (2.45), group 2:2.66 (2.8) kg P<0.001] and fat mass [group 1: -0.26 (1.8), group 2:1.9 (1.7) kg P<0.001]. BMD at the spine, femoral neck and total hip did not change significantly, although there was a positive trend at the total hip in group 2 [group 1: -0.5 (5.2), group 2:1.25 (3.3)%, P=0.13]. In a subgroup analysis, irrespective of their treatment group, there was a significant difference in changes in BMD at the lumbar spine and total hip in those who lost body weight (A) compared to those who had maintained or increased their weight (B), [mean (SD) % change in BMD lumbar spine; A: -1.64 (3.75), B: 0.96 (2.75) P=0.013, total hip A: -2.09 (6.0), B: 1.04 (3.3), P=0.05)] A significant reduction in serum CTX, a marker of bone resorption, was seen in group 2 [% decrease at 3 months, group 1: 1 (8.7), Group 2: 32 (5.8), P<0.01]. Serum osteoprotegerin (OPG) increased significantly in group 2 with a maximal increase (27%) observed at 6 ( P<0.01) and 9 months ( P<0.05). A small increase in bone-specific alkaline phosphatase was seen at 12 months in group 2 [% increase group 1:5 (5), group 2: 17 (6), P=0.05]. Serum osteocalcin increased at 12 months in group 2 ( P=0.01). Dietary improvement in elderly women with low BMI is associated with a reduction in bone resorption with a small but "net" positive effect on bone formation.
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Affiliation(s)
- Geeta Hampson
- Department of Chemical Pathology, 5th Floor, North Wing, St Thomas' Hospital, SE1 7EH, London, UK.
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Golding C, Cade J, Kirk S, Lawton C, Greenwood D. Comparison of low and high fat consumers in the UK Women’s Cohort Study. Nutr Res 2003. [DOI: 10.1016/s0271-5317(02)00536-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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