AGE MODE: een leeftijdsafhankelijk model voor toetsing van de inneming van voedingsstoffen; geillustreerd voor foliumzuur en vitamine A

Dit rapport beschrijft de werking van het model AGE MODE. AGE MODE is een methode om de gebruikelijke inneming van microvoedingsstoffen, vitaminen en mineralen, te schatten en te toetsen aan de voedingsnorm. AGE MODE is ontwikkeld door het RIVM. AGE MODE is een kwantitatieve methode om de voorziening van microvoedingsstoffen te beoordelen. Het kan gebruikt worden om prioriteiten te stellen in beleid dat gericht is op een adequate voedingsstoffenvoorziening voor de bevolking. Het model schat de gebruikelijke inneming van microvoedingsstoffen uit inneminggegevens afkomstig uit voedselconsumptiepeilingen en zet deze af tegen de behoefte aan dergelijke microvoedingsstoffen. Zo kan het percentage individuen voor wie de voorziening onder de voedingsnorm is, worden bepaald. AGE MODE heeft een aantal voordelen ten opzichte van bestaande methoden. Het is een leeftijdsafhankelijk model. Bovendien is het een transparant model, waardoor goed inzicht kan worden gekregen in de onderliggende gegevens. Ter illustratie is AGE MODE gebruikt om een schatting te maken van de gebruikelijke inneming van foliumzuur en vitamine A en dit te vergelijken met de voedingsnormen.The 'Age dependent dietary evaluation model' (AGE MODE), described and demonstrated in this report, allows one to estimate usual intakes of micronutrients and to evaluate these intakes in relation to requirements. A quantitative evaluation of micronutrient intakes is warranted for setting policy priorities and determining the need for political measures. Habitual micronutrient intakes are estimated using AGE MODE from short-term measurements, and the prevalence of inadequate intakes is obtained by relating habitual intakes to requirements. AGE MODE has several advantages above currently used methods. Most important is the feature of age dependency. Furthermore, the model is transparent, which provides insight into the data. As case-study, AGE MODE is used to estimate the habitual intake of folate and vitamin A and to compare this to the dietary reference intakes

The association of the Mediterranean diet with heart failure risk in a Dutch population

Background and aims: It is still unclear whether a healthy diet can prevent heart failure (HF). Therefore, this study aimed to investigate the association between adherence to a Mediterranean-style diet, reflected by modified Mediterranean Diet Scores (mMDS), and the incidence of HF in men and women. / Methods and results: This observational study comprised 9316 men and 27,645 women from the EPIC-NL cohort free from cardiovascular disease at baseline. Dietary intakes were assessed using a validated food frequency questionnaire. mMDS was calculated using a 9-point scale based on consumption of vegetables, legumes, fruit, nuts, seeds, grains, fish, fat ratio, dairy, meat and alcohol. HF events were ascertained by linkage to nation-wide registries. Multivariable Hazard Ratios (HR) and 95% confidence intervals (CI) were estimated by Cox proportional hazards regression models. Over a median follow-up of 15 years (IQR 14–16), 633 HF events occurred: 144 in men (1.5%) and 489 in women (1.8%). The median mMDS was 4 (IQR 3–5). There was significant effect modification by sex (P-value for interaction <0.001), therefore results are stratified for men and women. For men, a higher mMDS associated with lower HF risk (HR: 0.88; 95% CI: 0.79, 0.98 per point increase in mMDS; HR upper category: 0.53; 95% CI: 0.33, 0.86), whereas no association was found in women (HR: 0.98; 95% CI: 0.93, 1.04 per point increase; HR upper category: 1.07; 95% CI: 0.83, 1.36). / Conclusion: Adherence to a Mediterranean-style diet may reduce HF risk, particularly in men. The underlying reasons for the differences in findings between men and women need further study

Development of Chemical Strategies for Specifically Probing and Identifying Sulfur Carrier Proteins and Vitamin B6-Dependent Enzymes in Bacteria

Activity based protein profiling (ABPP) is a functional proteomic technology that uses chemical probes to detect mechanistically related classes of enzymes. Chemically probing a certain class of proteins helps to understand their biological function as a group, and discover new biosynthetic pathways for drug design. This research describes two activity based proteomic methods that have been developed to probe and identify sulfur carrier proteins and vitamin B6 dependent proteins, respectively. Sulfur carrier proteins are small proteins (<10 kDa) involved in pathways for efficient sulfur delivery. A chemical probe with sulfonyl-azide functional group was designed to label and identify the sulfur carrier proteins through a thioacid-azide reaction. This method identified a new sulfur carrier protein in Streptomyces coelicolor. Further study of its biological function led to the discovery and characterization of a new pathway of homocysteine formation, which is probably another direct sulfurylation of methionine biosynthesis. Vitamin B6 dependent proteins are a class of enzymes that cover a wide range of cellular functions such as transamination, racemization, and decarboxylation. Also, vitamin B6 dependent proteins have a critical role in human disease and the metabolic pathways of pathogens and plants. We used Escherichia coli as a model system to develop both radioactive and nonradioactive based methods to probe and identify vitamin B6 containing proteins in the bacterial proteome. This technique was then used to study how vitamin B6 proteins are regulated in response to cellular stress

Consumption of ultra-processed foods and risk of multimorbidity of cancer and cardiometabolic diseases: a multinational cohort study

Background It is currently unknown whether ultra-processed foods (UPFs) consumption is associated with a higher incidence of multimorbidity. We examined the relationship of total and subgroup consumption of UPFs with the risk of multimorbidity defined as the co-occurrence of at least two chronic diseases in an individual among first cancer at any site, cardiovascular disease, and type 2 diabetes. Methods This was a prospective cohort study including 266,666 participants (60% women) free of cancer, cardiovascular disease, and type 2 diabetes at recruitment from seven European countries in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Foods and drinks consumed over the previous 12 months were assessed at baseline by food-frequency questionnaires and classified according to their degree of processing using Nova classification. We used multistate modelling based on Cox regression to estimate cause-specific hazard ratios (HR) and their 95% confidence intervals (CI) for associations of total and subgroups of UPFs with the risk of multimorbidity of cancer and cardiometabolic diseases. Findings After a median of 11.2 years of follow-up, 4461 participants (39% women) developed multimorbidity of cancer and cardiometabolic diseases. Higher UPF consumption (per 1 standard deviation increment, ∼260 g/day without alcoholic drinks) was associated with an increased risk of multimorbidity of cancer and cardiometabolic diseases (HR: 1.09, 95% CI: 1.05, 1.12). Among UPF subgroups, associations were most notable for animal-based products (HR: 1.09, 95% CI: 1.05, 1.12), and artificially and sugar-sweetened beverages (HR: 1.09, 95% CI: 1.06, 1.12). Other subgroups such as ultra-processed breads and cereals (HR: 0.97, 95% CI: 0.94, 1.00) or plant-based alternatives (HR: 0.97, 95% CI: 0.91, 1.02) were not associated with risk. Interpretation Our findings suggest that higher consumption of UPFs increases the risk of cancer and cardiometabolic multimorbidity. Funding Austrian Academy of Sciences, Fondation de France, Cancer Research UK, World Cancer Research Fund International, and the Institut National du Cancer

Co-benefits from sustainable dietary shifts for population and environmental health: an assessment from a large European cohort study

Funding European Commission (DG-SANCO) , the International Agency for Research on Cancer (IARC) , MRC Early Career Fellowship (MR/M501669/1) .Background Unhealthy diets, the rise of non-communicable diseases, and the declining health of the planet are highly intertwined, where food production and consumption are major drivers of increases in greenhouse gas emissions, substantial land use, and adverse health such as cancer and mortality. To assess the potential co-benefits from shifting to more sustainable diets, we aimed to investigate the associations of dietary greenhouse gas emissions and land use with all-cause and cause-specific mortality and cancer incidence rates. Methods Using data from 443 991 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study, a multicentre prospective cohort, we estimated associations between dietary contributions to greenhouse gas emissions and land use and all-cause and cause-specific mortality and incident cancers using Cox proportional hazards regression models. The main exposures were modelled as quartiles. Co-benefits, encompassing the potential effects of alternative diets on all-cause mortality and cancer and potential reductions in greenhouse gas emissions and land use, were estimated with counterfactual attributable fraction intervention models, simulating potential effects of dietary shifts based on the EAT–Lancet reference diet. Findings In the pooled analysis, there was an association between levels of dietary greenhouse gas emissions and allcause mortality (adjusted hazard ratio [HR] 1·13 [95% CI 1·10–1·16]) and between land use and all-cause mortality (1·18 [1·15–1·21]) when comparing the fourth quartile to the first quartile. Similar associations were observed for cause-specific mortality. Associations were also observed between all-cause cancer incidence rates and greenhouse gas emissions, when comparing the fourth quartile to the first quartile (adjusted HR 1·11 [95% CI 1·09–1·14]) and between all-cause cancer incidence rates and land use (1·13 [1·10–1·15]); however, estimates differed by cancer type. Through counterfactual attributable fraction modelling of shifts in levels of adherence to the EAT–Lancet diet, we estimated that up to 19–63% of deaths and up to 10–39% of cancers could be prevented, in a 20-year risk period, by different levels of adherence to the EAT–Lancet reference diet. Additionally, switching from lower adherence to the EAT–Lancet reference diet to higher adherence could potentially reduce food-associated greenhouse gas emissions up to 50% and land use up to 62%. Interpretation Our results indicate that shifts towards universally sustainable diets could lead to co-benefits, such as minimising diet-related greenhouse gas emissions and land use, reducing the environmental footprint, aiding in climate change mitigation, and improving population health.European Commission European Commission Joint Research CentreWorld Health OrganizationUK Research & Innovation (UKRI) Medical Research Council UK (MRC) MR/M501669/

Milk intake and incident stroke and CHD in populations of European descent: a Mendelian randomisation study.

Higher milk intake has been associated with a lower stroke risk, but not with risk of CHD. Residual confounding or reverse causation cannot be excluded. Therefore, we estimated the causal association of milk consumption with stroke and CHD risk through instrumental variable (IV) and gene-outcome analyses. IV analysis included 29 328 participants (4611 stroke; 9828 CHD) of the European Prospective Investigation into Cancer and Nutrition (EPIC)-CVD (eight European countries) and European Prospective Investigation into Cancer and Nutrition-Netherlands (EPIC-NL) case-cohort studies. rs4988235, a lactase persistence (LP) SNP which enables digestion of lactose in adulthood was used as genetic instrument. Intake of milk was first regressed on rs4988235 in a linear regression model. Next, associations of genetically predicted milk consumption with stroke and CHD were estimated using Prentice-weighted Cox regression. Gene-outcome analysis included 777 024 participants (50 804 cases) from MEGASTROKE (including EPIC-CVD), UK Biobank and EPIC-NL for stroke, and 483 966 participants (61 612 cases) from CARDIoGRAM, UK Biobank, EPIC-CVD and EPIC-NL for CHD. In IV analyses, each additional LP allele was associated with a higher intake of milk in EPIC-CVD (β = 13·7 g/d; 95 % CI 8·4, 19·1) and EPIC-NL (36·8 g/d; 95 % CI 20·0, 53·5). Genetically predicted milk intake was not associated with stroke (HR per 25 g/d 1·05; 95 % CI 0·94, 1·16) or CHD (1·02; 95 % CI 0·96, 1·08). In gene-outcome analyses, there was no association of rs4988235 with risk of stroke (OR 1·02; 95 % CI 0·99, 1·05) or CHD (OR 0·99; 95 % CI 0·95, 1·03). Current Mendelian randomisation analysis does not provide evidence for a causal inverse relationship between milk consumption and stroke or CHD risk

Characterization of the degree of food processing in the European Prospective Investigation into Cancer and Nutrition: Application of the Nova classification and validation using selected biomarkers of food processing

Background: Epidemiological studies have demonstrated an association between the degree of food processing in our diet and the risk of various chronic diseases. Much of this evidence is based on the international Nova classification system, which classifies food into four groups based on the type of processing: (1) Unprocessed and minimally processed foods, (2) Processed culinary ingredients, (3) Processed foods, and (4) “Ultra-processed” foods (UPF). The ability of the Nova classification to accurately characterise the degree of food processing across consumption patterns in various European populations has not been investigated so far. Therefore, we applied the Nova coding to data from the European Prospective Investigation into Cancer and Nutrition (EPIC) in order to characterize the degree of food processing in our diet across European populations with diverse cultural and socio-economic backgrounds and to validate this Nova classification through comparison with objective biomarker measurements. Methods: After grouping foods in the EPIC dataset according to the Nova classification, a total of 476,768 participants in the EPIC cohort (71.5% women; mean age 51 [standard deviation (SD) 9.93]; median age 52 [percentile (p)25–p75: 58–66] years) were included in the cross-sectional analysis that characterised consumption patterns based on the Nova classification. The consumption of food products classified as different Nova categories were compared to relevant circulating biomarkers denoting food processing, measured in various subsamples (N between 417 and 9,460) within the EPIC cohort via (partial) correlation analyses (unadjusted and adjusted by sex, age, BMI and country). These biomarkers included an industrial transfatty acid (ITFA) isomer (elaidic acid; exogenous fatty acid generated during oil hydrogenation and heating) and urinary 4-methyl syringol sulfate (an indicator for the consumption of smoked food and a component of liquid smoke used in UPF). Results: Contributions of UPF intake to the overall diet in % grams/day varied across countries from 7% (France) to 23% (Norway) and their contributions to overall % energy intake from 16% (Spain and Italy) to >45% (in the UK and Norway). Differences were also found between sociodemographic groups; participants in the highest fourth of UPF consumption tended to be younger, taller, less educated, current smokers, more physically active, have a higher reported intake of energy and lower reported intake of alcohol. The UPF pattern as defined based on the Nova classification (group 4;% kcal/day) was positively associated with blood levels of industrial elaidic acid (r = 0.54) and 4-methyl syringol sulfate (r = 0.43). Associations for the other 3 Nova groups with these food processing biomarkers were either inverse or non-significant (e.g., for unprocessed and minimally processed foods these correlations were –0.07 and –0.37 for elaidic acid and 4-methyl syringol sulfate, respectively). Conclusion: These results, based on a large pan-European cohort, demonstrate sociodemographic and geographical differences in the consumption of UPF. Furthermore, these results suggest that the Nova classification can accurately capture consumption of UPF, reflected by stronger correlations with circulating levels of industrial elaidic acid and a syringol metabolite compared to diets high in minimally processed foods

Physical activity, sedentary behaviour, and childhood asthma: a European collaborative analysis

OBJECTIVES: To investigate the associations of physical activity (PA) and sedentary behaviour in early childhood with asthma and reduced lung function in later childhood within a large collaborative study. DESIGN: Pooling of longitudinal data from collaborating birth cohorts using meta-analysis of separate cohort-specific estimates and analysis of individual participant data of all cohorts combined. SETTING: Children aged 0-18 years from 26 European birth cohorts. PARTICIPANTS: 136 071 individual children from 26 cohorts, with information on PA and/or sedentary behaviour in early childhood and asthma assessment in later childhood. MAIN OUTCOME MEASURE: Questionnaire-based current asthma and lung function measured by spirometry (forced expiratory volume in 1 s (FEV1), FEV1/forced vital capacity) at age 6-18 years. RESULTS: Questionnaire-based and accelerometry-based PA and sedentary behaviour at age 3-5 years was not associated with asthma at age 6-18 years (PA in hours/day adjusted OR 1.01, 95% CI 0.98 to 1.04; sedentary behaviour in hours/day adjusted OR 1.03, 95% CI 0.99 to 1.07). PA was not associated with lung function at any age. Analyses of sedentary behaviour and lung function showed inconsistent results. CONCLUSIONS: Reduced PA and increased sedentary behaviour before 6 years of age were not associated with the presence of asthma later in childhood. © Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.The authors received no specific funding for this article. Funding information per cohort: ABCD: The ABCD study has been supported by grants from The Netherlands Organisation for Health Research and Development (ZonMW) and The Netherlands Heart Foundation. ABIS: Special thanks to the participating families in the ABIS study, and all staff at Obstetric departments and Well-Baby Clinics. ABIS has been supported by Swedish Research Council (K2005-72X-11242-11A and K2008-69X-20826-01-4) and the Swedish Child Diabetes Foundation (Barndiabetesfonden), JDRF Wallenberg Foundation (K 98-99D-12813-01A), Medical Research Council of Southeast Sweden (FORSS), and the Swedish Council for Working Life and Social Research (FAS2004-1775) and Östgöta Brandstodsbolag. BAMSE: This BAMSE birth cohort was supported by grants from the Swedish Research Council, the Swedish Research Council for Health, Working Life and Welfare, Formas, the Swedish Heart-Lung Foundation, the Swedish Asthma and Allergy Research Foundation, Region Stockholm (ALF project, and for cohort and database maintenance), and the European Research Council (TRIBAL, grant agreement 757919). CHOP: The CHOP study reported herein have been carried out with partial financial support from the Commission of the European Community, specific RTD Programme 'Quality of Life and Management of Living Resources', within the European Union's Seventh Framework Programme (FP7/2007-2013), project EarlyNutrition under grant agreement no. 289346, partial financial support from Polish Ministry of Science and Higher Education (2571/7.PR/2012/2), the EU H2020 project PHC-2014-DynaHealth under grant no. 633595 and the European Research Council Advanced Grant META-GROWTH (ERC-2012-AdG-no.322605). COPSAC2000: All funding received by COPSAC is listed on www.copsac.com. The Lundbeck Foundation (Grant no R16-A1694); The Ministry of Health (Grant no 903516); Danish Council for Strategic Research (Grant no 0603-00280B) and The Capital Region Research Foundation have provided core support to the COPSAC research center. DNBC: The Danish National Birth Cohort was established with a significant grant from the Danish National Research Foundation. Additional support was obtained from the Danish Regional Committees, the Pharmacy Foundation, the Egmont Foundation, the March of Dimes Birth Defects Foundation, the Health Foundation and other minor grants. The DNBC Biobank has been supported by the Novo Nordisk Foundation and the Lundbeck Foundation. EDEN: EU FP7 Framework MedAll project, National Institute for Research in Public Health (IRESP TGIR Cohorte Santé 2008 Program); National Agency for Research (ANR non-thematic programme); French Speaking Association for the Study of Diabetes and Metabolism (Alfediam); Mutuelle Générale de l’Éducation Nationale; Nestlé; French National Institute for Health Education (INPES); Paris‐Sud University; French National Istitute for Population Health Surveillance (InVS); French Agency for Environment Security (AFFSET); French Ministry of Health Perinatal Program; Inserm Nutrition Research Program; Institut Fédératif de Recherche and Cohort Program; French Ministry of Research; EURIP and FIRE doctoral school–Programme Bettencourt; Fondation pour la Recherche Médicale (FRM). G21: Generation XXI was supported by the European Regional Development Fund (ERDF) through the Operational Programme Competitiveness and Internationalisation and national funding from the Foundation for Science and Technology (FCT), Portuguese Ministry of Science, Technology and Higher Education under the project 'HIneC: When do health inequalities start? Understanding the impact of childhood social adversity on health trajectories from birth to early adolescence' (POCI-01-0145-FEDER-029567; Reference PTDC/SAU-PUB/29567/2017). It is also supported by the Unidade de Investigação em Epidemiologia–Instituto de Saúde Pública da Universidade do Porto (EPIUnit) (UIDB/04750/2020), Administração Regional de Saúde Norte (Regional Department of Ministry of Health) and Fundação Calouste Gulbenkian; PhD Grant SFRH/BD/108742/2015 (to SS) co-funded by FCT and the Human Capital Operational Programme (POCH/FSE Program); ACS is founded by a FCT Investigator contracts IF/01060/2015. Generation R: The Generation R Study is made possible by financial support from the Erasmus Medical Centre, Rotterdam, the Erasmus University Rotterdam and The Netherlands Organization for Health Research and Development. The project received funding for projects from the European Union's Horizon 2020 research and innovation programme (LIFECYCLE, grant agreement No 733206, 2016; EUCAN-Connect grant agreement No 824989; ATHLETE, grant agreement No 874583). LD received funding from the European Union's Horizon 2020 cofunded programme ERA-Net on Biomarkers for Nutrition and Health (ERA HDHL) (ALPHABET project (no 696295; 2017), ZonMW The Netherlands (no 529051014; 2017)). GINIplus: The GINIplus study was mainly supported for the first 3 years of the Federal Ministry for Education, Science, Research and Technology (interventional arm) and Helmholtz Zentrum Munich (former GSF) (observational arm). The 4 years, 6 years, 10 years and 15 years follow-up examinations of the GINIplus study were covered from the respective budgets of the five study centres (Helmholtz Zentrum Munich (former GSF), Research Institute at Marien-Hospital Wesel, LMU Munich, TU Munich and from 6 years onwards also from IUF - Leibniz Research-Institute for Environmental Medicine at the University of Düsseldorf) and a grant from the Federal Ministry for Environment (IUF Düsseldorf, FKZ 20462296). Further, the 15-year follow-up examination of the GINIplus study was supported by the Commission of the European Communities, the 7th Framework Program: MeDALL project, and as well by the companies Mead Johnson and Nestlé. The authors thank all the families for their participation in the GINIplus study. Furthermore, we thank all members of the GINIplus Study Group for their excellent work. The GINIplus Study group consists of the following: Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg (Heinrich J, Brüske I, Schulz H, Flexeder C, Zeller C, Standl M, Schnappinger M, Ferland M, Thiering E, Tiesler C); Department of Pediatrics, Marien-Hospital, Wesel (Berdel D, von Berg A); Ludwig-Maximilians-University of Munich, Dr von Hauner Children’s Hospital (Koletzko S); Child and Adolescent Medicine, University Hospital rechts der Isar of the Technical University Munich (Bauer CP, Hoffmann U); IUF- Environmental Health Research Institute, Düsseldorf (Schikowski T, Link E, Klümper C, Krämer U, Sugiri D). HUMIS: HUMIS is supported by the Research Council of Norway (NevroNor, grant number 226402). INMA Asturias: This study was funded by grants from, FIS-FEDER: PI04/2018, PI09/02311, PI13/02429, PI18/00909; Obra Social Cajastur/Fundación Liberbank, and Universidad de Oviedo. We thank Fundación NOE Alimerka. INMA Gipuzkoa: This study was funded by grants from Instituto de Salud Carlos III (FIS-PI06/0867, FIS-PI09/00090, FIS-PI13/02187 include FEDER funds), CIBERESP, Department of Health of the Basque Government (2005111093, 2009111069, 2013111089 and 2015111065), and the Provincial Government of Gipuzkoa (DFG06/002, DFG08/001 and DFG15/221) and annual agreements with the municipalities of the study area (Zumarraga, Urretxu, Legazpi, Azkoitia y Azpeitia y Beasain). INMA Menorca: This study was funded by grants from Instituto de Salud Carlos III (Red INMA G03/176; CB06/02/0041; 97/0588; 00/0021-2; PI061756; PS0901958; PI14/00677 incl. FEDER funds), CIBERESP, Beca de la IV convocatoria de Ayudas a la Investigación en Enfermedades Neurodegenerativas de La Caixa, and EC Contract No. QLK4-CT-2000-00263. INMA Sabadell: This study was funded by grants from Instituto de Salud Carlos III (Red INMA G03/176; CB06/02/0041; PI041436; PI081151 incl. FEDER funds; CPII/00018), CIBERESP, Generalitat de Catalunya-CIRIT 1999SGR 00241, Generalitat de Catalunya-AGAUR 2009 SGR 501, Fundació La marató de TV3 (090430), EU Commission (261357). ISGlobal is a member of the CERCA Programme, Generalitat de Catalunya. INMA Valencia: This study was funded by grants from UE (FP7-ENV-2011 cod 282957 and HEALTH.2010.2.4.5-1), Spain: ISCIII (Red INMA G03/176, CB06/02/0041; FIS-FEDER: PI03/1615, PI04/1509, PI04/1112, PI04/1931, PI05/1079, PI05/1052, PI06/1213, PI07/0314, PI09/02647, PI11/01007, PI11/02591, PI11/02038, PI13/1944, PI13/2032, PI14/00891, PI14/01687, PI16/1288, PI17/00663, and 19/1338; Miguel Servet-FEDER CP11/00178, CP15/00025 and CPII16/00051), Generalitat Valenciana: FISABIO (UGP 15-230, UGP-15-244, UGP-15-249, and AICO 2020/285), and Alicia Koplowitz Foundation 2017. KOALA: The KOALA cohort study was cofinanced by Friesland Foods (now FrieslandCampina), Netherlands Asthma Foundation (grant numbers 3.2.07.022 and 3.2.03.48) and Netherlands Heart Foundation (grant number 2014 T037), the Netherlands Organization for Health Research and Development (ZonMw Prevention Program number 1.210-00-090). The funding sources had no role in the study design and the collection, analysis and interpretation of data and the writing of the article and the decision to submit it for publication. Lifeways: The Lifeways study has been funded by the Health Research Board, Ireland, and the Irish Department of Health and Children’s Health Promotion Policy Unit. LISA: The LISA study was mainly supported by grants from the Federal Ministry for Education, Science, Research and Technology and in addition from Helmholtz Zentrum Munich (former GSF), Helmholtz Centre for Environmental Research—UFZ, Leipzig, Research Institute at Marien-Hospital Wesel, Pediatric Practice, Bad Honnef for the first 2 years. The 4 years, 6 years, 10 years and 15 years follow-up examinations of the LISA study were covered from the respective budgets of the involved partners (Helmholtz Zentrum Munich (former GSF), Helmholtz Centre for Environmental Research—UFZ, Leipzig, Research Institute at Marien-Hospital Wesel, Pediatric Practice, Bad Honnef, IUF—Leibniz-Research Institute for Environmental Medicine at the University of Düsseldorf) and in addition by a grant from the Federal Ministry for Environment (IUF Düsseldorf, FKZ 20462296). Further, the 15-year follow-up examination of the LISA study was supported by the Commission of the European Communities, the 7th Framework Program: MeDALL project. The authors thank all the families for their participation in the LISA study. Furthermore, we thank all members of the LISA Study Group for their excellent work. The LISA Study group consists of the following: Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Munich (Heinrich J, Schnappinger M, Brüske I, Ferland M, Schulz H, Zeller C, Standl M, Thiering E, Tiesler C, Flexeder C); Department of Pediatrics, Municipal Hospital 'St. Georg', Leipzig (Borte M, Diez U, Dorn C, Braun E); Marien Hospital Wesel, Department of Pediatrics, Wesel (von Berg A, Berdel D, Stiers G, Maas B); Pediatric Practice, Bad Honnef (Schaaf B); Helmholtz Centre of Environmental Research—UFZ, Department of Environmental Immunology/Core Facility Studies, Leipzig (Lehmann I, Bauer M, Röder S, Schilde M, Nowak M, Herberth G, Müller J); Technical University Munich, Department of Pediatrics, Munich (Hoffmann U, Paschke M, Marra S); Clinical Research Group Molecular Dermatology, Department of Dermatology and Allergy, Technische Universität München (TUM), Munich (Ollert M, J. Grosch). LRC: All phases of this study were supported by the Swiss National Science Foundation (grants: SNF 320030_182628, 32003B_162820, PDFMP3 137033, 32003B_162820, 32003B_144068, PZ00P3_147987) and Asthma UK 07/048. LUCKI: This study was supported by Maastricht University and the Public Health Service South Limburg. PIAMA: The Prevention and Incidence of Asthma and Mite Allergy Study has been funded by grants from the Netherlands Organization for Health Research and Development; the Netherlands Organization for Scientific Research; the Lung Foundation of the Netherlands; the Netherlands Ministry of Planning, Housing and the Environment; the Netherlands Ministry of Health, Welfare and Sport; and the National Institute for Public Health and the Environment. SEATON: Medical Research Council, Grant number: 80219, MR/K001035/1; Asthma UK, Grant numbers: 00/011, 02/017. STEPS Study: The Academy of Finland (grant no. 123571 and 121659); the Juho Vainio Foundation; the Foundation for Pediatric Research; the Finnish Medical Foundation. SWS: The SWS was supported by grants from the Medical Research Council (MC_UU_12011/4), Dunhill Medical Trust, British Heart Foundation, Food Standards Agency (contract no N05071), British Lung Foundation. National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, the European Union’s Seventh Framework Programme (FP7/2007-2013), project EarlyNutrition (grant 289346) and European Union’s Horizon 2020 research and innovation programme under grant agreement No 733206 (LifeCycle). WHISTLER: The authors (from the WHISTLER birth cohort) received no specific funding for this article. The WHISTLER birth cohort was supported with a grant from the Netherlands Organization for Health Research and Development (grant no. 2001-1-1322) and by an unrestricted grant from GlaxoSmithKline Netherlands