4 results
Number of results to display per page
Search Results
2. Bulky DNA adducts, 4-aminobiphenyl-haemoglobin adducts and diet in the European Prospective Investigation into Cancer and Nutrition (EPIC) prospective study
- Author
-
Carmen Martinez, Petra H.M. Peeters, Merethe Kumle, Paolo Vineis, Armelle Munnia, Seymour Garte, Bas Bueno-de-Mesquita, Emmanuelle Gormally, Ole Raaschou-Nielsen, Antonio Agudo, Giuseppe Matullo, Bengt Järvholm, Françoise Clavel-Chapelon, José Ramón Quirós, Göran Berglund, Marco Peluso, Alison M. Dunning, Rosario Tumino, Alessandro Colombi, Salvatore Panico, Timothy J. Key, Luisa Airoldi, Elio Riboli, S Bingham, Fabrizio Veglia, Rudolf Kaaks, Antonia Trichopoulou, Aurelio Barricarte, Vittorio Krogh, Christian Malaveille, Nicholas E. Day, Kim Overvad, Rodolfo Saracci, Herman Autrup, María José Tormo, Domenico Palli, J. Linseisen, Heiner Boeing, Miren Dorronsoro, Faculteit Medische Wetenschappen/UMCG, Peluso, M, Airoldi, L, Munnia, A, Colombi, A, Veglia, F, Autrup, H, Dunning, A, Garte, S, Gormally, E, Malaveille, C, Matullo, G, Overvad, K, Raaschou Nielsen, O, Clavel Chapelon, F, Linseisen, J, Boeing, H, Trichopoulou, A, Palli, D, Krogh, V, Tumino, R, Panico, Salvatore, Bueno De Mesquita, Bh, Peeters, Ph, Kumle, M, Agudo, A, Martinez, C, Dorronsoro, M, Barricarte, A, Tormo, Mj, Quiros, Jr, Berglund, G, Jarvholm, B, Day, Ne, Key, Tj, Saracci, R, Kaaks, R, Riboli, E, Bingham, S, Vineis, P., [Peluso,M, Munnia, A] Cancer Risk Factor Branch, Analytical and Biomolecular Cytology Unit, CSPO-Scientific Institute of Tuscany, Florence, Italy. [Airoldi,L, Colombi,A] Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy. [Veglia, F, Matullo,G] ISI Foundation, Turin, Italy. [Autrup,H] Department of Environmental and Occupational Medicine, Aarhus, Denmark. [Dunning, A] Department of Oncology, University of Cambridge, Cambridge, UK. [Garte,S] Genetics Research Institute, Milan, Italy. [Gormally,E, Malaveille,C] International Agency for Research on Cancer, Lyon, France. [Overhad,K] Department of Clinical Epidemiology, Aalborg Hospital, Aarhus University Hospital, Aalborg, Denmark. [Raaschou-Nielsen,O] Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark. [Clavel-Chapelon,F] INSERM (Institut National de la Sante´ et de la Recherche Me´dicale), ERI 20, EA 4045, and Institut Gustave Roussy, Villejuif, F-94805, France. [Linseisen,J] Division of Clinical Epidemiology, Deutsches Krebsforschungszentrum, Heidelberg, German. [Boeing,H] German Institute of Human Nutrition, Potsdam-Rehbu¨cke, Germany. [Trichopoulou,A] Department of Hygiene and Epidemiology, Medical School, University of Athens, Athens, Greece. [Palli,D] Molecular and Nutritional Epidemiology Unit, CSPO-Scientific Institute of Cancer Prevention Tuscany Region, Florence, Italy. [Krogh,V] Department of Epidemiology, National Cancer Institute, Milan, Italy. [Tumino,R] Cancer Registry, Azienda Ospedaliera ‘Civile MP Arezzo’, Ragusa, Ital. [Panico,S] Dipartimento di Medicina Clinica e Sperimentale, Universita` Federico II, Naples, Italy. [Bueno-De-Mesquita,BH] Centre for Nutrition and Health, National Institute for Public Health and the Environment, Bilthoven, The Netherland. [Peeters,PH] Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands. [Kumle,M] Institute of Community Medicine, University of Tromso, Tromso, Norway. [Agudo,A] Department of Epidemiology, Catalan Institute of Oncology, Barcelona, Spain. [Martinez,C] Andalusian School of Public Health, Granada, Spain. [Dorronsoro,M] Department of Public Health of Guipuzkoa, San Sebastian, Spain. [Barricarte,A] Public Health Institute, Navarra, Spain. [Tormo,MJ] Epidemiology Department, Murcia Health Council, Murcia, Spain. Quiros, JR] Direccio´n General de Salud Pu´blica, Consejerı´a de Salud y Servicios Sanitarios Asturias, Oviedo, Spain. [Berglund,G] Malmo¨ Diet and Cancer Study, Lund University, Malmo¨, Sweden. [Jarvholm,G] Department of Nutritional Research, University of Umea˚, Umea˚ , Sweden. [Day,ND, Bingham,S] MRC Dunn Human Nutrition Unit, Cambridge University, UK. [Key,TJ].Cancer Research UK Epidemiology Unit, University of Oxford, Oxford, UK. [Saracci,R] IFC National Research Council, Pisa, Italy. [Kaas,R] Division of Epidemiology, DKFZ Heidelberg, Germany. [Riboli,E] Imperial College London, London, UK. [Vineis,P] University of Turin, Turin, Italy. Department of Epidemiology and Public Health, Imperial College of Science, Technology and Medicine, Norfolk Place, London W2 1PG, UK, This paper was made possible by a grant of the European Community (5th Framework Programme) to P. V. (grant QLK4–CT–1999–00 927) and a grant of the Compagnia di San Paolo to the ISI Foundation. All authors are independent from funders. Mortality data for the Netherlands were obtained from Statistics Netherlands. Also, the work described in the paper was carried out with the financial support of: Europe Against Cancer Program of the European Commission (SANCO), ISCIII, Red de Centros RCESP, C03/09, Deutsche Krebshilfe, Deutsches Krebsforschungszentrum, German Federal Ministry of Education and Research, Danish Cancer Society, Health Research Fund (FIS) of the Spanish Ministry of Health, Spanish Regional Governments of Andalucia, Asturias, Basque Country, Murcia and Navarra, Cancer Research UK, Medical Research Council, UK, Stroke Association, UK, British Heart Foundation, Department of Health, UK, Food Standards Agency, UK, Wellcome Trust, UK, Greek Ministry of Health, Greek Ministry of Education, Italian Association for Research on Cancer (AIRC), Italian National Research Council, Dutch Ministry of Public Health, Welfare and Sports, World Cancer Research Fund, Swedish Cancer Society, Swedish Scientific Council, Regional Government of Ska°ne, Sweden, Norwegian Cancer Society, and Research Council of Norway.
- Subjects
Dietary Fiber ,Male ,Aflatoxin ,Erythrocytes ,Chemicals and Drugs::Amino Acids, Peptides, and Proteins::Proteins::Blood Proteins::Hemoglobins [Medical Subject Headings] ,medicine.medical_treatment ,air pollution ,RESISTANT STARCH ,Medicine (miscellaneous) ,GUIDELINES ,Carcinógenos ,Body Mass Index ,COLORECTAL-CANCER ,Food group ,chemistry.chemical_compound ,Hemoglobins ,Vegetables ,Chemicals and Drugs::Chemical Actions and Uses::Toxic Actions::Environmental Pollutants::Air Pollutants [Medical Subject Headings] ,Leukocytes ,Aductos de ADN ,Nutritional Physiological Phenomena ,Food science ,Prospective Studies ,RISK ,DNA adducts ,Haemoglobin adducts ,Non-smokers ,Fibre intake ,Air pollution ,Publication Characteristics::Study Characteristics::Multicenter Study [Medical Subject Headings] ,Air Pollutants ,Nutrition and Dietetics ,Chemistry ,Technology, Industry, Agriculture::Food and Beverages::Food::Dietary Fiber [Medical Subject Headings] ,Chemicals and Drugs::Chemical Actions and Uses::Toxic Actions::Noxae::Carcinogens [Medical Subject Headings] ,COLON-CANCER ,Phenomena and Processes::Genetic Phenomena::Genetic Processes::DNA Damage::DNA Adducts [Medical Subject Headings] ,Fabaceae ,Middle Aged ,fibre intake ,European Prospective Investigation into Cancer and Nutrition ,Europe ,Biochemistry ,4-Aminobiphenyl ,Colonic Neoplasms ,Hemoglobinas ,Female ,SMOKERS ,Alcohol Drinking ,BLADDER-CANCER ,European Prospective Investigation into Cancer and Nutrition (EPIC) ,haemoglobin adducts ,non-smokers ,RATS ,POLYCYCLIC AROMATIC-HYDROCARBONS ,Ozone ,LUNG-CANCER ,DNA adduct ,medicine ,Humans ,Contaminantes del aire ,ddc:610 ,Carcinogen ,Aged ,Estudio multicéntrico ,Vitamin E ,Fruit ,Multivariate Analysis ,Fibras en la dieta ,Carcinogens ,Biomarkers ,Food contaminant - Abstract
Udgivelsesdato: 2008-Feb-14 In contrast to some extensively examined food mutagens, for example, aflatoxins, N-nitrosamines and heterocyclic amines, some other food contaminants, in particular polycyclic aromatic hydrocarbons (PAH) and other aromatic compounds, have received less attention. Therefore, exploring the relationships between dietary habits and the levels of biomarkers related to exposure to aromatic compounds is highly relevant. We have investigated in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort the association between dietary items (food groups and nutrients) and aromatic DNA adducts and 4-aminobiphenyl-Hb adducts. Both types of adducts are biomarkers of carcinogen exposure and possibly of cancer risk, and were measured, respectively, in leucocytes and erythrocytes of 1086 (DNA adducts) and 190 (Hb adducts) non-smokers. An inverse, statistically significant, association has been found between DNA adduct levels and dietary fibre intake (P = 0.02), vitamin E (P = 0.04) and alcohol (P = 0.03) but not with other nutrients or food groups. Also, an inverse association between fibre and fruit intake, and BMI and 4-aminobiphenyl-Hb adducts (P = 0.03, 0.04, and 0.03 respectively) was observed. After multivariate regression analysis these inverse correlations remained statistically significant, except for the correlation adducts v. fruit intake. The present study suggests that fibre intake in the usual range can modify the level of DNA or Hb aromatic adducts, but such role seems to be quantitatively modest. Fibres could reduce the formation of DNA adducts in different manners, by diluting potential food mutagens and carcinogens in the gastrointestinal tract, by speeding their transit through the colon and by binding carcinogenic substances.
- Published
- 2008
3. Differences in motivations and social impacts across urban agriculture types: Case studies in Europe and the US
- Author
-
Kathrin Specht, Rositsa T. Ilieva, Chris Blythe, Runrid Fox-Kämper, Victoria Schoen, Lidia Poniży, Agnès Lelièvre, Silvio Caputo, Caitlin K. Kirby, Jason K. Hawes, Nevin Cohen, Nebraska Wesleyan University (NWU), ILS - Research Institute for Regional and Urban Development (ILS - Research Institute for Regional and Urban Development), ILS - Research Institute for Regional and Urban Development, University of Michigan System, City University of New York [New York] (CUNY), University of Kent [Canterbury], Sciences pour l'Action et le Développement : Activités, Produits, Territoires (SADAPT), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Adam Mickiewicz University in Poznań (UAM), Social Farms & Gardens, This paper is based on FEW-meter project, funded by ESRC, UK, grant number ES/S002170/2, by BMBF: Germany, grant number 01LF1801A, by ANR: France, grant number ANR-17-SUGI-0001-01, by NSF: USA, Belmont Forum 18929627, by NCN: Poland, grant no 2017/25/Z/HS4/03048, and by European Union's Horizon 2020 research and innovation programme (GA No 730254) under the JPI Urban Europe's call 'SUGI FWE Nexus'. The German-American Fulbright Commission also provided support for this project., and Elsevier
- Subjects
Multivariate analysis ,[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy ,0211 other engineering and technologies ,02 engineering and technology ,010501 environmental sciences ,Management, Monitoring, Policy and Law ,01 natural sciences ,Multivariate analysis of variance ,Urban farms ,11. Sustainability ,General wellbeing ,Urban agriculture ,Socioeconomics ,0105 earth and related environmental sciences ,Nature and Landscape Conservation ,2. Zero hunger ,Ecology ,Socialization ,1. No poverty ,Social benefits ,021107 urban & regional planning ,15. Life on land ,Health and wellbeing ,Urban Studies ,Geography ,Survey data collection ,Motivations ,Community gardens ,Allotment gardens - Abstract
International audience; Urban agriculture is an increasingly popular approach to addressing negative social and health effects of cities. Social benefits of urban agriculture include improved health and wellbeing, economic opportunities, social cohesion, and education. However, the extent to which urban agriculture participants are motivated by or experience these impacts has rarely been measured quantitatively, especially across the many different types of urban agriculture. We analyzed survey data from 74 urban agriculture sites in France, Germany, Poland, the United Kingdom, and the United States to quantitatively assess the relationships between urban agriculture types, farmers and gardeners' motivations, and the social impacts of urban agriculture. Through factor analysis, we established valid and reliable measurements of participants' motivations and impacts. We identified four scales: general wellbeing impacts, nutritional health impacts, economic interests, and socialization motivations. Through multivariate analysis of variance, we document significant differences in motivations and reported impacts across types of urban agriculture. Finally, we conducted a multilevel multivariate analysis to explore the predictors of general wellbeing impacts. Participants with stronger economic interests, stronger socialization motivations, and who are owners or primary operators of their plots would be predicted to report greater general wellbeing impacts of urban agriculture. These results provide data about the impacts of urban agriculture projects that enable urban planners and policymakers to maximize the desired social benefits of urban agriculture.
- Published
- 2021
4. Alcohol use in early and late adolescence among the Birth to Twenty cohort in Soweto, South Africa
- Author
-
Shane A. Norris, Leane Ramsoomar, Neo K. Morojele, and CARNEGIE CORPORATION TRANSFORMATION PROGRAMME AT the UNIVERSITY of the WITWATERSRAND for the funding provided to support this paper, and the funders of Bt20: University of the Witwatersrand, South African Medical Research Council, Human Sciences Research
- Subjects
Male ,maternal correlates ,Multivariate analysis ,adolescent alcohol use ,Adolescent ,Alcohol Drinking ,socio-economic status ,Building New Knowledge Supplement ,Poison control ,Mothers ,Developmental psychology ,03 medical and health sciences ,0302 clinical medicine ,Sex Factors ,Acquired immunodeficiency syndrome (AIDS) ,Risk Factors ,Adolescent alcohol use, alcohol prevalence, maternal correlates, socio-economic status ,Surveys and Questionnaires ,Injury prevention ,Prevalence ,Medicine ,Humans ,030212 general & internal medicine ,Risk factor ,Socioeconomic status ,Marital Status ,business.industry ,030503 health policy & services ,Health Policy ,alcohol prevalence ,lcsh:Public aspects of medicine ,1. No poverty ,Public Health, Environmental and Occupational Health ,Age Factors ,lcsh:RA1-1270 ,medicine.disease ,3. Good health ,Logistic Models ,Socioeconomic Factors ,Cohort ,Multivariate Analysis ,RA421-790.95 ,Marital status ,Educational Status ,Female ,Public Health ,0305 other medical science ,business ,Demography - Abstract
Background : Alcohol is a risk factor for the leading causes of mortality and morbidity among young people globally. Youth drinking, initiated in early adolescence and continued into early adulthood, is influenced by maternal socio-demographic factors and maternal education. Limited prospective data exists in South Africa on the prevalence of alcohol use during adolescence and adolescent and maternal socio-demographic correlates. Objective : To examine the prevalence of lifetime alcohol use during early (13 years) and late (18 years) adolescence in Soweto, South Africa, and its association with child and maternal socio-demographic factors. Methods : Data on alcohol use in early adolescence (age 13 years) and late adolescence (age 18 years) were collected using self-completed pen and paper and self-completed computer-based questionnaires, respectively. Univariate analyses were conducted on child (gender and number of school years repeated by grade 7), maternal socio-demographic correlates (education, marital status, and age), and household socioeconomic status (SES). Bivariate logistic regression analyses examined associations between alcohol use and all child and maternal socio-demographic factors. Multivariate logistic regression analyses were conducted on all the variables found to be significantly (p< 0.10) associated with alcohol use to examine the predictive value on alcohol use at early and late adolescence. Results : Lifetime alcohol use increased from 22% at early adolescence to 66% at late adolescence. In multivariate analyses, gender, maternal education, and SES predicted lifetime alcohol use at early adolescence, while gender, maternal education, marital status, and SES were predictive of the same at late adolescence. Conclusion : This study aids researchers and practitioners to identify maternal and child socio-demographic risk profiles for alcohol use to inform policies and programmes. Keywords : adolescent alcohol use; alcohol prevalence; maternal correlates; socio-economic status (Published: 24 January 2013) Citation: Glob Health Action 2013, 6 : 19274 - http://dx.doi.org/10.3402/gha.v6i0.19274
- Published
- 2013
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.