1,336 results on '"Richiardi, Lorenzo"'
Search Results
2. Maternal antenatal mental health and its associations with perinatal outcomes and the use of healthcare services in children from the NINFEA birth cohort study
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Bua, Adriana, Moirano, Giovenale, Pizzi, Costanza, Rusconi, Franca, Migliore, Enrica, Richiardi, Lorenzo, and Popovic, Maja
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- 2024
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3. Socioeconomic position, family context, and child cognitive development
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González, Llúcia, Popovic, Maja, Rebagliato, Marisa, Estarlich, Marisa, Moirano, Giovenale, Barreto-Zarza, Florencia, Richiardi, Lorenzo, Arranz, Enrique, Santa-Marina, Loreto, Zugna, Daniela, Ibarluzea, Jesús, and Pizzi, Costanza
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- 2024
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4. A Pregnancy and Childhood Epigenetics Consortium (PACE) meta-analysis highlights potential relationships between birth order and neonatal blood DNA methylation
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Li, Shaobo, Spitz, Natalia, Ghantous, Akram, Abrishamcar, Sarina, Reimann, Brigitte, Marques, Irene, Silver, Matt J, Aguilar-Lacasaña, Sofía, Kitaba, Negusse, Rezwan, Faisal I, Röder, Stefan, Sirignano, Lea, Tuhkanen, Johanna, Mancano, Giulia, Sharp, Gemma C, Metayer, Catherine, Morimoto, Libby, Stein, Dan J, Zar, Heather J, Alfano, Rossella, Nawrot, Tim, Wang, Congrong, Kajantie, Eero, Keikkala, Elina, Mustaniemi, Sanna, Ronkainen, Justiina, Sebert, Sylvain, Silva, Wnurinham, Vääräsmäki, Marja, Jaddoe, Vincent WV, Bernstein, Robin M, Prentice, Andrew M, Cosin-Tomas, Marta, Dwyer, Terence, Håberg, Siri Eldevik, Herceg, Zdenko, Magnus, Maria C, Munthe-Kaas, Monica Cheng, Page, Christian M, Völker, Maja, Gilles, Maria, Send, Tabea, Witt, Stephanie, Zillich, Lea, Gagliardi, Luigi, Richiardi, Lorenzo, Czamara, Darina, Räikkönen, Katri, Chatzi, Lida, Vafeiadi, Marina, Arshad, S Hasan, Ewart, Susan, Plusquin, Michelle, Felix, Janine F, Moore, Sophie E, Vrijheid, Martine, Holloway, John W, Karmaus, Wilfried, Herberth, Gunda, Zenclussen, Ana, Streit, Fabian, Lahti, Jari, Hüls, Anke, Hoang, Thanh T, London, Stephanie J, and Wiemels, Joseph L
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Reproductive Medicine ,Biomedical and Clinical Sciences ,Genetics ,Biological Sciences ,Human Genome ,Contraception/Reproduction ,Pediatric ,Clinical Research ,Perinatal Period - Conditions Originating in Perinatal Period ,2.1 Biological and endogenous factors ,Aetiology ,Reproductive health and childbirth ,Good Health and Well Being ,Child ,Female ,Humans ,Infant ,Newborn ,Pregnancy ,Birth Order ,DNA Methylation ,Epigenesis ,Genetic ,Epigenomics ,Biological sciences ,Biomedical and clinical sciences - Abstract
Higher birth order is associated with altered risk of many disease states. Changes in placentation and exposures to in utero growth factors with successive pregnancies may impact later life disease risk via persistent DNA methylation alterations. We investigated birth order with Illumina DNA methylation array data in each of 16 birth cohorts (8164 newborns) with European, African, and Latino ancestries from the Pregnancy and Childhood Epigenetics Consortium. Meta-analyzed data demonstrated systematic DNA methylation variation in 341 CpGs (FDR adjusted P
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- 2024
5. Smoking and alcohol by HPV status in head and neck cancer: a Mendelian randomization study
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Thakral, Abhinav, Lee, John JW., Hou, Tianzhichao, Hueniken, Katrina, Dudding, Tom, Gormley, Mark, Virani, Shama, Olshan, Andrew, Diergaarde, Brenda, Ness, Andrew R., Waterboer, Tim, Smith-Byrne, Karl, Brennan, Paul, Hayes, D. Neil, Sanderson, Eleanor, Brown, M. Catherine, Huang, Sophie, Bratman, Scott V., Spreafico, Anna, De Almeida, John, Davies, Joel C., Bierut, Laura, Macfarlane, Gary J., Lagiou, Pagona, Lagiou, Areti, Polesel, Jerry, Agudo, Antonio, Alemany, Laia, Ahrens, Wolfgang, Healy, Claire M., Conway, David I., Nygard, Mari, Canova, Cristina, Holcatova, Ivana, Richiardi, Lorenzo, Znaor, Ariana, Goldstein, David P., Hung, Rayjean J., Xu, Wei, Liu, Geoffrey, and Espin-Garcia, Osvaldo
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- 2024
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6. Spatio-temporal pattern and Meteo-climatic determinants of visceral leishmaniasis in Italy
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Moirano, Giovenale, Ellena, Marta, Mercogliano, Paola, Richiardi, Lorenzo, and Maule, Milena
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- 2022
7. Internet-Based Birth-Cohort Studies: Is This the Future for Epidemiology?
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Firestone, Ridvan, Cheng, Soo, Pearce, Neil, Douwes, Jeroen, Merletti, Franco, Pizzi, Costanza, Pivetta, Emanuele, Rusconi, Franca, and Richiardi, Lorenzo
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Medicine ,Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
BackgroundInternational collaborative cohorts the NINFEA and the ELF studies are mother-child cohorts that use the internet for recruitment and follow-up of their members. The cohorts investigated the association of early life exposures and a wide range of non-communicable diseases. ObjectiveThe objective is to report the research methodology, with emphasis on the advantages and limitations offered by an Internet-based design. These studies were conducted in Turin, Italy and Wellington, New Zealand. MethodsThe cohorts utilized various online/offline methods to recruit participants. Pregnant women who became aware volunteered, completed an online questionnaire, thus obtaining baseline information. ResultsThe NINFEA study has recruited 7003 pregnant women, while the ELF study has recruited 2197 women. The cohorts targeted the whole country, utilizing a range of support processes to reduce the attrition rate of the participants. For the NINFEA and ELF cohorts, online participants were predominantly older (35% and 28.9%, respectively), highly educated (55.6% and 84.9%, respectively), and were in their final trimester of pregnancy (48.5% and 53.6%, respectively). ConclusionsInternet-based cohort epidemiological studies are feasible, however, it is clear that participants are self-selective samples, as is the case for many birth cohorts. Internet-based cohort studies are potentially cost-effective and novel methodology for conducting long-term epidemiology research. However, from our experience, participants tend to be self-selective. In marked time, if the cohorts are to form part of a larger research program they require further use and exploration to address biases and overcome limitations.
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- 2015
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8. Regression discontinuity design in perinatal epidemiology and birth cohort research
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Popovic, Maja, Zugna, Daniela, and Richiardi, Lorenzo
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Statistics - Applications ,Statistics - Methodology - Abstract
Regression discontinuity design (RDD) is a quasi-experimental approach to study the causal effects of an intervention/treatment on later health outcomes. It exploits a continuously measured assignment variable with a clearly defined cut-off above or below which the population is at least partially assigned to the intervention/treatment. We describe the RDD and outline the applications of RDD in the context of perinatal epidemiology and birth cohort research. There is an increasing number of studies using RDD in perinatal and pediatric epidemiology. Most of these studies were conducted in the context of education, social and welfare policies, healthcare organization, insurance, and preventive programs. Additional thematic fields include clinically relevant research questions, shock events, social and environmental factors, and changes in guidelines. Maternal and perinatal characteristics, such as age, birth weight and gestational age are frequently used assignment variables to study the effects of the type and intensity of neonatal care, health insurance, and supplemental newborn benefits. Different socioeconomic measures have been used to study the effects of social, welfare and cash transfer programs, while age or date of birth served as assignment variables to study the effects of vaccination programs, pregnancy-specific guidelines, maternity and paternity leave policies and introduction of newborn-based welfare programs. RDD has advantages, including relatively weak and testable assumptions, strong internal validity, intuitive interpretation, and transparent and simple graphical representation. However, its use in birth cohort research is hampered by the rarity of settings outside of policy and program evaluations, low statistical power, limited external validity (geographic- and time-specific settings) and potential contamination by other exposures/interventions., Comment: Main text: 32 pages, 6 figures, 2 tables, Supplementary material: 24 pages
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- 2022
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9. Socioeconomic position during pregnancy and pre-school exposome in children from eight European birth cohort studies
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Pizzi, Costanza, Moirano, Giovenale, Moccia, Chiara, Maule, Milena, D'Errico, Antonio, Vrijheid, Martine, Cadman, Timothy J., Fossati, Serena, Nieuwenhuijsen, Mark, Beneito, Andrea, Calas, Lucinda, Duijts, Liesbeth, Elhakeem, Ahmed, Harris, Jennifer R., Heude, Barbara, Jaddoe, Vincent, Lawlor, Deborah A., Lioret, Sandrine, McEachan, Rosemary RC., Nader, Johanna L., Pedersen, Marie, Pinot de Moira, Angela, Strandberg-Larsen, Katrine, Subiza-Pérez, Mikel, Vafeiadi, Marina, Welten, Marieke, Wright, John, Yang, Tiffany C., and Richiardi, Lorenzo
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- 2024
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10. Patients with cancer who will be cured and projections of complete prevalence in Italy from 2018 to 2030
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Crocetti, Emanuele, Mallone, Sandra, Pierannunzio, Daniela, Contiero, Paolo, Tagliabue, Giovanna, Memo, Laura, Manneschi, Gianfranco, Ravaioli, Alessandra, Cuccaro, Francesco, Richiardi, Lorenzo, Casella, Claudia, Anna di Prima, Alessia, Maifredi, Giovanni, Lanzoni, Monica, Cirilli, Claudia, Leite, Silvia, Michiara, Maria, Ferraioli, Serena, Zarcone, Maurizio, Vitale, Maria Francesca, Giacomazzi, Erica, Ghisleni, Silvia, Bisceglia, Isabella, Gentilini, Maria A., Vittadello, Fabio, Spata, Eugenia, Marguati, Stefano, Del Riccio, Luciana, Concas, Elisa, Sessa, Alessandra, Colanino, Antonino Ziino, Prazzoli, Rita, Ferrari, Gianfabrizio, Canu, Luisa, Guzzinati, S., Toffolutti, F., Francisci, S., De Paoli, A., Giudici, F., De Angelis, R., Demuru, E., Botta, L., Tavilla, A., Gatta, G., Capocaccia, R., Zorzi, M., Caldarella, A., Bidoli, E., Falcini, F., Bruni, R., Migliore, E., Puppo, A., Ferrante, M., Gasparotti, C., Gambino, M.L., Carrozzi, G., Bianconi, F., Musolino, A., Cavallo, R., Mazzucco, W., Fusco, M., Ballotari, P., Sampietro, G., Ferretti, S., Mangone, L., Mantovani, W., Mian, M., Cascone, G., Manzoni, F., Galasso, R., Piras, D., Pesce, M.T., Bella, F., Seghini, P., Fanetti, A.C., Pinna, P., Serraino, D., Rossi, S., and Dal Maso, L.
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- 2024
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11. Green space exposure and blood DNA methylation at birth and in childhood – A multi-cohort study
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Aguilar-Lacasaña, Sofia, Fontes Marques, Irene, de Castro, Montserrat, Dadvand, Payam, Escribà, Xavier, Fossati, Serena, González, Juan R, Nieuwenhuijsen, Mark, Alfano, Rossella, Annesi-Maesano, Isabella, Brescianini, Sonia, Burrows, Kimberley, Calas, Lucinda, Elhakeem, Ahmed, Heude, Barbara, Hough, Amy, Isaevska, Elena, W V Jaddoe, Vincent, Lawlor, Deborah A, Monaghan, Genevieve, Nawrot, Tim, Plusquin, Michelle, Richiardi, Lorenzo, Watmuff, Aidan, Yang, Tiffany C., Vrijheid, Martine, F Felix, Janine, and Bustamante, Mariona
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- 2024
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12. Examining the relationship between the environmental impact of diet and child growth from a co-benefit perspective
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Maritano, Silvia, Moirano, Giovenale, Isaevska, Elena, Pizzi, Costanza, Ponzo, Valentina, Moccia, Chiara, Maule, Milena, Lastrucci, Vieri, Alderotti, Giorgia, Ronfani, Luca, Brumatti, Liza Vecchi, Rusconi, Franca, Gagliardi, Luigi, Brescianini, Sonia, Nisticò, Lorenza, De Sario, Manuela, Culasso, Martina, and Richiardi, Lorenzo
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- 2024
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13. The impact of income-support interventions on life course risk factors and health outcomes during childhood: a systematic review in high income countries
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Boccia, Delia, Maritano, Silvia, Pizzi, Costanza, Richiardi, Matteo G., Lioret, Sandrine, and Richiardi, Lorenzo
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- 2023
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14. Cord blood epigenome-wide meta-analysis in six European-based child cohorts identifies signatures linked to rapid weight growth
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Alfano, Rossella, Zugna, Daniela, Barros, Henrique, Bustamante, Mariona, Chatzi, Leda, Ghantous, Akram, Herceg, Zdenko, Keski-Rahkonen, Pekka, de Kok, Theo M., Nawrot, Tim S, Relton, Caroline L, Robinson, Oliver, Roumeliotaki, Theano, Scalbert, Augustin, Vrijheid, Martine, Vineis, Paolo, Richiardi, Lorenzo, and Plusquin, Michelle
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- 2023
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15. Comparison Among Ultra-Thin Coronary Stents: A Network Meta-Analysis
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Marengo, Giorgio, Bruno, Francesco, Scudeler, Luca, Savoca, Federica, Zugna, Daniela, Isaevska, Elena, Pilgrim, Thomas, Jensen, Lisette Okkels, De Filippo, Ovidio, Richiardi, Lorenzo, De Ferrari, Gaetano Maria, and D'Ascenzo, Fabrizio
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- 2024
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16. Prevalence and indicators of cure of Italian women with vulvar squamous cell carcinoma: A population-based study
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Botta, Laura, Contiero, Paolo, Tagliabue, Giovanna, De Angelis, Roberta, Demuru, Elena, Francisci, Silvia, Mallone, Sandra, Rossi, Silvia, Tavilla, Andrea, Capocaccia, Riccardo, Zorzi, Manuel, Taborelli, Martina, Manneschi, Gianfranco, Zamagni, Federica, Lupi, Chiara, Bruno, Danila, Lanzoni, Monica, Puppo, Antonella, Ferraioli, Serena, Irato, Eleonora, Richiardi, Lorenzo, Cirilli, Claudia, Michiara, Maria, Amodio, Rosalba, Maifredi, Giovanni, Vitale, Maria Francesca, Giacomazzi, Erica, Zanchi, Andreina, Braghiroli, Barbara, Gentilini, Maria A., Giurdanella, Maria Concetta, Vittadello, Fabio, Marguati, Stefano, Sessa, Alessandra, Del Riccio, Luciana, Colanino, Antonino Ziino, Prazzoli, Rita, Ferrari, Gianfabrizio, Concas, Elisa, Canu, Luisa, Bucchi, Lauro, Giudici, Fabiola, Toffolutti, Federica, De Paoli, Angela, Mancini, Silvia, Preti, Mario, Gatta, Gemma, Ferretti, Stefano, Crocetti, Emanuele, Fiore, Anna Rita, Bidoli, Ettore, Caldarella, Adele, Falcini, Fabio, Gili, Alessio, Cuccaro, Francesco, Gambino, Maria Letizia, Casella, Claudia, Cavallo, Rossella, Ferrante, Margherita, Migliore, Enrica, Carrozzi, Giuliano, Musolino, Antonino, Mazzucco, Walter, Gasparotti, Cinzia, Fusco, Mario, Ballotari, Paola, Sampietro, Giuseppe, Mangone, Lucia, Mantovani, William, Cascone, Giuseppe, Mian, Michael, Manzoni, Federica, Pesce, Maria Teresa, Galasso, Rocco, Bella, Francesca, Seghini, Pietro, Fanetti, Anna Clara, Piras, Daniela, Pinna, Pasquala, Serraino, Diego, Guzzinati, Stefano, and Dal Maso, Luigino
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- 2024
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17. Lung Cancer Risks Associated with Occupational Exposure to Pairs of Five Lung Carcinogens: Results from a Pooled Analysis of Case-Control Studies (SYNERGY)
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Olsson, Ann, Bouaoun, Liacine, Schuz, Joachim, Vermeulen, Roel, Behrens, Thomas, Ge, Calvin, Kromhout, Hans, Siemiatycki, Jack, Gustavsson, Per, Boffetta, Paolo, Kendzia, Benjamin, Radoi, Loredana, Barul, Christine, Karrasch, Stefan, Wichmann, Heinz-Erich, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E., Merletti, Franco, Migliore, Enrica, Richiardi, Lorenzo, Jockel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernandez-Tardon, Guillermo, Zaridze, David, Field, John K., Lissowska, Jolanta, Swiatkowska, Beata, McLaughlin, John R., Demers, Paul A., Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Pandics, Tamas, Fabianova, Eleonora, Mates, Dana, Forastiere, Francesco, Straif, Kurt, Bruning, Thomas, Vlaanderen, Jelle, and Peters, Susan
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Smoking -- Research -- Risk factors ,Lung cancer -- Research -- Risk factors ,Polycyclic aromatic hydrocarbons -- Research ,Silica -- Research ,Cigarettes -- Research ,Environmental issues ,Health - Abstract
Background: While much research has been done to identify individual workplace lung carcinogens, little is known about joint effects on risk when workers are exposed to multiple agents. Objectives: We investigated the pairwise joint effects of occupational exposures to asbestos, respirable crystalline silica, metals (i.e., nickel, chromium-VI), and polycyclic aromatic hydrocarbons (PAH) on lung cancer risk, overall and by major histologic subtype, while accounting for cigarette smoking. Methods: In the international 14-center SYNERGY project, occupational exposures were assigned to 16,901 lung cancer cases and 20,965 control subjects using a quantitative job-exposure matrix (SYN-JEM). Odds ratios (ORs) and 95% confidence intervals (CIs) were computed for ever vs. never exposure using logistic regression models stratified by sex and adjusted for study center, age, and smoking habits. Joint effects among pairs of agents were assessed on multiplicative and additive scales, the latter by calculating the relative excess risk due to interaction (RERI). Results: All pairwise joint effects of lung carcinogens in men were associated with an increased risk of lung cancer. However, asbestos/metals and metals/PAH resulted in less than additive effects; while the chromium-VI/silica pair showed marginally synergistic effect in relation to adenocarcinoma (RERI: 0.24; CI: 0.02, 0.46; p = 0.05). In women, several pairwise joint effects were observed for small cell lung cancer including exposure to PAH/silica (OR = 5.12; CI: 1.77, 8.48), and to asbestos/silica (OR = 4.32; CI: 1.35, 7.29), where exposure to PAH/silica resulted in a synergistic effect (RERI: 3.45; CI: 0.10, 6.8). Discussion: Small or no deviation from additive or multiplicative effects was observed, but co-exposure to the selected lung carcinogens resulted generally in higher risk than exposure to individual agents, highlighting the importance to reduce and control exposure to carcinogens in workplaces and the general environment. https://doi.org/10.1289/EHP13380, Introduction Occupational carcinogens represent a significant threat on worker's health, and exposed workers may be (simultaneously) exposed to more than one carcinogen. The European CAREX project estimated that 23% of [...]
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- 2024
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18. Alcohol drinking and head and neck cancer risk: the joint effect of intensity and duration
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Di Credico, Gioia, Polesel, Jerry, Dal Maso, Luigino, Pauli, Francesco, Torelli, Nicola, Luce, Daniele, Radoï, Loredana, Matsuo, Keitaro, Serraino, Diego, Brennan, Paul, Holcatova, Ivana, Ahrens, Wolfgang, Lagiou, Pagona, Canova, Cristina, Richiardi, Lorenzo, Healy, Claire M, Kjaerheim, Kristina, Conway, David I, Macfarlane, Gary J, Thomson, Peter, Agudo, Antonio, Znaor, Ariana, Franceschi, Silvia, Herrero, Rolando, Toporcov, Tatiana N, Moyses, Raquel A, Muscat, Joshua, Negri, Eva, Vilensky, Marta, Fernandez, Leticia, Curado, Maria Paula, Menezes, Ana, Daudt, Alexander W, Koifman, Rosalina, Wunsch-Filho, Victor, Olshan, Andrew F, Zevallos, Jose P, Sturgis, Erich M, Li, Guojun, Levi, Fabio, Zhang, Zuo-Feng, Morgenstern, Hal, Smith, Elaine, Lazarus, Philip, La Vecchia, Carlo, Garavello, Werner, Chen, Chu, Schwartz, Stephen M, Zheng, Tongzhang, Vaughan, Thomas L, Kelsey, Karl, McClean, Michael, Benhamou, Simone, Hayes, Richard B, Purdue, Mark P, Gillison, Maura, Schantz, Stimson, Yu, Guo-Pei, Chuang, Shu-Chun, Boffetta, Paolo, Hashibe, Mia, Yuan-Chin, Amy Lee, and Edefonti, Valeria
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Dental/Oral and Craniofacial Disease ,Alcoholism ,Alcohol Use and Health ,Digestive Diseases ,Cancer ,Prevention ,Rare Diseases ,Tobacco ,Substance Misuse ,Tobacco Smoke and Health ,2.2 Factors relating to the physical environment ,Aetiology ,Good Health and Well Being ,Adolescent ,Adult ,Aged ,Aged ,80 and over ,Alcohol Drinking ,Case-Control Studies ,Female ,Head and Neck Neoplasms ,Humans ,Laryngeal Neoplasms ,Male ,Middle Aged ,Mouth Neoplasms ,Oropharyngeal Neoplasms ,Risk Factors ,Severity of Illness Index ,Smoking ,Time Factors ,Young Adult ,Public Health and Health Services ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
BackgroundAlcohol is a well-established risk factor for head and neck cancer (HNC). This study aims to explore the effect of alcohol intensity and duration, as joint continuous exposures, on HNC risk.MethodsData from 26 case-control studies in the INHANCE Consortium were used, including never and current drinkers who drunk ≤10 drinks/day for ≤54 years (24234 controls, 4085 oral cavity, 3359 oropharyngeal, 983 hypopharyngeal and 3340 laryngeal cancers). The dose-response relationship between the risk and the joint exposure to drinking intensity and duration was investigated through bivariate regression spline models, adjusting for potential confounders, including tobacco smoking.ResultsFor all subsites, cancer risk steeply increased with increasing drinks/day, with no appreciable threshold effect at lower intensities. For each intensity level, the risk of oral cavity, hypopharyngeal and laryngeal cancers did not vary according to years of drinking, suggesting no effect of duration. For oropharyngeal cancer, the risk increased with durations up to 28 years, flattening thereafter. The risk peaked at the higher levels of intensity and duration for all subsites (odds ratio = 7.95 for oral cavity, 12.86 for oropharynx, 24.96 for hypopharynx and 6.60 for larynx).ConclusionsPresent results further encourage the reduction of alcohol intensity to mitigate HNC risk.
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- 2020
19. Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort children
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Moccia, Chiara, Pizzi, Costanza, Moirano, Giovenale, Popovic, Maja, Zugna, Daniela, d'Errico, Antonio, Isaevska, Elena, Fossati, Serena, Nieuwenhuijsen, Mark J., Fariselli, Piero, Sanavia, Tiziana, Richiardi, Lorenzo, and Maule, Milena
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- 2023
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20. Internet-Based Epidemiology
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Richiardi, Lorenzo, primary, Pizzi, Costanza, additional, Paolotti, Daniela, additional, and Blumenberg, Cauane, additional
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- 2023
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21. Development and external validation of a head and neck cancer risk prediction model
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Smith, Craig D. L., primary, McMahon, Alex D., additional, Lyall, Donald M., additional, Goulart, Mariel, additional, Inman, Gareth J., additional, Ross, Al, additional, Gormley, Mark, additional, Dudding, Tom, additional, Macfarlane, Gary J., additional, Robinson, Max, additional, Richiardi, Lorenzo, additional, Serraino, Diego, additional, Polesel, Jerry, additional, Canova, Cristina, additional, Ahrens, Wolfgang, additional, Healy, Claire M., additional, Lagiou, Pagona, additional, Holcatova, Ivana, additional, Alemany, Laia, additional, Znoar, Ariana, additional, Waterboer, Tim, additional, Brennan, Paul, additional, Virani, Shama, additional, and Conway, David I., additional
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- 2024
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22. Cord blood metabolites and rapid postnatal growth as multiple mediators in the prenatal propensity to childhood overweight
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Alfano, Rossella, Plusquin, Michelle, Robinson, Oliver, Brescianini, Sonia, Chatzi, Lida, Keski-Rahkonen, Pekka, Handakas, Evangelos, Maitre, Lea, Nawrot, Tim, Robinot, Nivonirina, Roumeliotaki, Theano, Sassi, Franco, Scalbert, Augustin, Vrijheid, Martine, Vineis, Paolo, Richiardi, Lorenzo, and Zugna, Daniela
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- 2022
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23. Pharmacists in Italy
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Pagano, Eva, primary, Pagliero, Mario, additional, Pivetta, Emanuele, additional, and Richiardi, Lorenzo, additional
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- 2022
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24. Joint effects of intensity and duration of cigarette smoking on the risk of head and neck cancer: A bivariate spline model approach
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Di Credico, Gioia, Edefonti, Valeria, Polesel, Jerry, Pauli, Francesco, Torelli, Nicola, Serraino, Diego, Negri, Eva, Luce, Daniele, Stucker, Isabelle, Matsuo, Keitaro, Brennan, Paul, Vilensky, Marta, Fernandez, Leticia, Curado, Maria Paula, Menezes, Ana, Daudt, Alexander W, Koifman, Rosalina, Wunsch-Filho, Victor, Holcatova, Ivana, Ahrens, Wolfgang, Lagiou, Pagona, Simonato, Lorenzo, Richiardi, Lorenzo, Healy, Claire, Kjaerheim, Kristina, Conway, David I, Macfarlane, Tatiana V, Thomson, Peter, Agudo, Antonio, Znaor, Ariana, Rios, Leonardo F Boaventura, Toporcov, Tatiana N, Franceschi, Silvia, Herrero, Rolando, Muscat, Joshua, Olshan, Andrew F, Zevallos, Jose P, La Vecchia, Carlo, Winn, Deborah M, Sturgis, Erich M, Li, Guojun, Fabianova, Eleonora, Lissowska, Jolanda, Mates, Dana, Rudnai, Peter, Shangina, Oxana, Swiatkowska, Beata, Moysich, Kirsten, Zhang, Zuo-Feng, Morgenstern, Hal, Levi, Fabio, Smith, Elaine, Lazarus, Philip, Bosetti, Cristina, Garavello, Werner, Kelsey, Karl, McClean, Michael, Ramroth, Heribert, Chen, Chu, Schwartz, Stephen M, Vaughan, Thomas L, Zheng, Tongzhang, Menvielle, Gwenn, Boccia, Stefania, Cadoni, Gabriella, Hayes, Richard B, Purdue, Mark, Gillison, Maura, Schantz, Stimson, Yu, Guo-Pei, Brenner, Hermann, D'Souza, Gypsyamber, Gross, Neil D, Chuang, Shu-Chun, Boffetta, Paolo, Hashibe, Mia, Lee, Yuan-Chin Amy, and Dal Maso, Luigino
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Prevention ,Tobacco Smoke and Health ,Substance Misuse ,Tobacco ,Dental/Oral and Craniofacial Disease ,Rare Diseases ,Cancer ,2.2 Factors relating to the physical environment ,Good Health and Well Being ,Adult ,Aged ,Aged ,80 and over ,Case-Control Studies ,Cigarette Smoking ,Female ,Head and Neck Neoplasms ,Humans ,Male ,Middle Aged ,Risk Factors ,Bivariate spline models ,Cigarette smoking duration ,Cigarette smoking intensity ,Head and neck cancer ,INHANCE ,Laryngeal cancer ,Oral cavity and pharyngeal cancers ,Dentistry ,Public Health and Health Services ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
ObjectivesThis study aimed at re-evaluating the strength and shape of the dose-response relationship between the combined (or joint) effect of intensity and duration of cigarette smoking and the risk of head and neck cancer (HNC). We explored this issue considering bivariate spline models, where smoking intensity and duration were treated as interacting continuous exposures.Materials and methodsWe pooled individual-level data from 33 case-control studies (18,260 HNC cases and 29,844 controls) participating in the International Head and Neck Cancer Epidemiology (INHANCE) consortium. In bivariate regression spline models, exposures to cigarette smoking intensity and duration (compared with never smokers) were modeled as a linear piecewise function within a logistic regression also including potential confounders. We jointly estimated the optimal knot locations and regression parameters within the Bayesian framework.ResultsFor oral-cavity/pharyngeal (OCP) cancers, an odds ratio (OR) >5 was reached after 30 years in current smokers of ∼20 or more cigarettes/day. Patterns of OCP cancer risk in current smokers differed across strata of alcohol intensity. For laryngeal cancer, ORs >20 were found for current smokers of ≥20 cigarettes/day for ≥30 years. In former smokers who quit ≥10 years ago, the ORs were approximately halved for OCP cancers, and ∼1/3 for laryngeal cancer, as compared to the same levels of intensity and duration in current smokers.ConclusionReferring to bivariate spline models, this study better quantified the joint effect of intensity and duration of cigarette smoking on HNC risk, further stressing the need of smoking cessation policies.
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- 2019
25. Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight.
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Küpers, Leanne K, Monnereau, Claire, Sharp, Gemma C, Yousefi, Paul, Salas, Lucas A, Ghantous, Akram, Page, Christian M, Reese, Sarah E, Wilcox, Allen J, Czamara, Darina, Starling, Anne P, Novoloaca, Alexei, Lent, Samantha, Roy, Ritu, Hoyo, Cathrine, Breton, Carrie V, Allard, Catherine, Just, Allan C, Bakulski, Kelly M, Holloway, John W, Everson, Todd M, Xu, Cheng-Jian, Huang, Rae-Chi, van der Plaat, Diana A, Wielscher, Matthias, Merid, Simon Kebede, Ullemar, Vilhelmina, Rezwan, Faisal I, Lahti, Jari, van Dongen, Jenny, Langie, Sabine AS, Richardson, Tom G, Magnus, Maria C, Nohr, Ellen A, Xu, Zongli, Duijts, Liesbeth, Zhao, Shanshan, Zhang, Weiming, Plusquin, Michelle, DeMeo, Dawn L, Solomon, Olivia, Heimovaara, Joosje H, Jima, Dereje D, Gao, Lu, Bustamante, Mariona, Perron, Patrice, Wright, Robert O, Hertz-Picciotto, Irva, Zhang, Hongmei, Karagas, Margaret R, Gehring, Ulrike, Marsit, Carmen J, Beilin, Lawrence J, Vonk, Judith M, Jarvelin, Marjo-Riitta, Bergström, Anna, Örtqvist, Anne K, Ewart, Susan, Villa, Pia M, Moore, Sophie E, Willemsen, Gonneke, Standaert, Arnout RL, Håberg, Siri E, Sørensen, Thorkild IA, Taylor, Jack A, Räikkönen, Katri, Yang, Ivana V, Kechris, Katerina, Nawrot, Tim S, Silver, Matt J, Gong, Yun Yun, Richiardi, Lorenzo, Kogevinas, Manolis, Litonjua, Augusto A, Eskenazi, Brenda, Huen, Karen, Mbarek, Hamdi, Maguire, Rachel L, Dwyer, Terence, Vrijheid, Martine, Bouchard, Luigi, Baccarelli, Andrea A, Croen, Lisa A, Karmaus, Wilfried, Anderson, Denise, de Vries, Maaike, Sebert, Sylvain, Kere, Juha, Karlsson, Robert, Arshad, Syed Hasan, Hämäläinen, Esa, Routledge, Michael N, Boomsma, Dorret I, Feinberg, Andrew P, Newschaffer, Craig J, Govarts, Eva, Moisse, Matthieu, Fallin, M Daniele, Melén, Erik, and Prentice, Andrew M
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Fetus ,Humans ,Prenatal Exposure Delayed Effects ,Birth Weight ,Folic Acid ,DNA ,Body Mass Index ,Smoking ,DNA Methylation ,Epigenesis ,Genetic ,CpG Islands ,Fetal Development ,Pregnancy ,Genome ,Human ,Adolescent ,Adult ,Child ,Infant ,Newborn ,Female ,Male ,Genome-Wide Association Study ,Epigenesis ,Genetic ,Genome ,Human ,Infant ,Newborn - Abstract
Birthweight is associated with health outcomes across the life course, DNA methylation may be an underlying mechanism. In this meta-analysis of epigenome-wide association studies of 8,825 neonates from 24 birth cohorts in the Pregnancy And Childhood Epigenetics Consortium, we find that DNA methylation in neonatal blood is associated with birthweight at 914 sites, with a difference in birthweight ranging from -183 to 178 grams per 10% increase in methylation (PBonferroni
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- 2019
26. Maternal body mass index, gestational weight gain, and the risk of overweight and obesity across childhood: An individual participant data meta-analysis
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Voerman, Ellis, Santos, Susana, Golab, Bernadeta Patro, Amiano, Pilar, Ballester, Ferran, Barros, Henrique, Bergström, Anna, Charles, Marie-Aline, Chatzi, Leda, Chevrier, Cécile, Chrousos, George P, Corpeleijn, Eva, Costet, Nathalie, Crozier, Sarah, Devereux, Graham, Eggesbø, Merete, Ekström, Sandra, Fantini, Maria Pia, Farchi, Sara, Forastiere, Francesco, Georgiu, Vagelis, Godfrey, Keith M, Gori, Davide, Grote, Veit, Hanke, Wojciech, Hertz-Picciotto, Irva, Heude, Barbara, Hryhorczuk, Daniel, Huang, Rae-Chi, Inskip, Hazel, Iszatt, Nina, Karvonen, Anne M, Kenny, Louise C, Koletzko, Berthold, Küpers, Leanne K, Lagström, Hanna, Lehmann, Irina, Magnus, Per, Majewska, Renata, Mäkelä, Johanna, Manios, Yannis, McAuliffe, Fionnuala M, McDonald, Sheila W, Mehegan, John, Mommers, Monique, Morgen, Camilla S, Mori, Trevor A, Moschonis, George, Murray, Deirdre, Chaoimh, Carol Ní, Nohr, Ellen A, Andersen, Anne-Marie Nybo, Oken, Emily, Oostvogels, Adriëtte JJM, Pac, Agnieszka, Papadopoulou, Eleni, Pekkanen, Juha, Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Rifas-Shiman, Sheryl L, Ronfani, Luca, Santos, Ana C, Standl, Marie, Stoltenberg, Camilla, Thiering, Elisabeth, Thijs, Carel, Torrent, Maties, Tough, Suzanne C, Trnovec, Tomas, Turner, Steve, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja GM, West, Jane, Wijga, Alet, Wright, John, Zvinchuk, Oleksandr, Sørensen, Thorkild IA, Lawlor, Debbie A, Gaillard, Romy, and Jaddoe, Vincent WV
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Biomedical and Clinical Sciences ,Public Health ,Health Sciences ,Nutrition and Dietetics ,Reproductive Medicine ,Nutrition ,Prevention ,Pediatric ,Clinical Research ,Obesity ,Oral and gastrointestinal ,Stroke ,Reproductive health and childbirth ,Cardiovascular ,Generic health relevance ,Metabolic and endocrine ,Cancer ,Australia ,Body Mass Index ,Cohort Studies ,Data Analysis ,Europe ,Female ,Gestational Weight Gain ,Humans ,North America ,Overweight ,Pediatric Obesity ,Pregnancy ,Risk Factors ,Medical and Health Sciences ,General & Internal Medicine ,Biomedical and clinical sciences ,Health sciences - Abstract
BackgroundMaternal obesity and excessive gestational weight gain may have persistent effects on offspring fat development. However, it remains unclear whether these effects differ by severity of obesity, and whether these effects are restricted to the extremes of maternal body mass index (BMI) and gestational weight gain. We aimed to assess the separate and combined associations of maternal BMI and gestational weight gain with the risk of overweight/obesity throughout childhood, and their population impact.Methods and findingsWe conducted an individual participant data meta-analysis of data from 162,129 mothers and their children from 37 pregnancy and birth cohort studies from Europe, North America, and Australia. We assessed the individual and combined associations of maternal pre-pregnancy BMI and gestational weight gain, both in clinical categories and across their full ranges, with the risks of overweight/obesity in early (2.0-5.0 years), mid (5.0-10.0 years) and late childhood (10.0-18.0 years), using multilevel binary logistic regression models with a random intercept at cohort level adjusted for maternal sociodemographic and lifestyle-related characteristics. We observed that higher maternal pre-pregnancy BMI and gestational weight gain both in clinical categories and across their full ranges were associated with higher risks of childhood overweight/obesity, with the strongest effects in late childhood (odds ratios [ORs] for overweight/obesity in early, mid, and late childhood, respectively: OR 1.66 [95% CI: 1.56, 1.78], OR 1.91 [95% CI: 1.85, 1.98], and OR 2.28 [95% CI: 2.08, 2.50] for maternal overweight; OR 2.43 [95% CI: 2.24, 2.64], OR 3.12 [95% CI: 2.98, 3.27], and OR 4.47 [95% CI: 3.99, 5.23] for maternal obesity; and OR 1.39 [95% CI: 1.30, 1.49], OR 1.55 [95% CI: 1.49, 1.60], and OR 1.72 [95% CI: 1.56, 1.91] for excessive gestational weight gain). The proportions of childhood overweight/obesity prevalence attributable to maternal overweight, maternal obesity, and excessive gestational weight gain ranged from 10.2% to 21.6%. Relative to the effect of maternal BMI, excessive gestational weight gain only slightly increased the risk of childhood overweight/obesity within each clinical BMI category (p-values for interactions of maternal BMI with gestational weight gain: p = 0.038, p < 0.001, and p = 0.637 in early, mid, and late childhood, respectively). Limitations of this study include the self-report of maternal BMI and gestational weight gain for some of the cohorts, and the potential of residual confounding. Also, as this study only included participants from Europe, North America, and Australia, results need to be interpreted with caution with respect to other populations.ConclusionsIn this study, higher maternal pre-pregnancy BMI and gestational weight gain were associated with an increased risk of childhood overweight/obesity, with the strongest effects at later ages. The additional effect of gestational weight gain in women who are overweight or obese before pregnancy is small. Given the large population impact, future intervention trials aiming to reduce the prevalence of childhood overweight and obesity should focus on maternal weight status before pregnancy, in addition to weight gain during pregnancy.
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- 2019
27. Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania
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Santos, Susana, Eekhout, Iris, Voerman, Ellis, Gaillard, Romy, Barros, Henrique, Charles, Marie-Aline, Chatzi, Leda, Chevrier, Cécile, Chrousos, George P, Corpeleijn, Eva, Costet, Nathalie, Crozier, Sarah, Doyon, Myriam, Eggesbø, Merete, Fantini, Maria Pia, Farchi, Sara, Forastiere, Francesco, Gagliardi, Luigi, Georgiu, Vagelis, Godfrey, Keith M, Gori, Davide, Grote, Veit, Hanke, Wojciech, Hertz-Picciotto, Irva, Heude, Barbara, Hivert, Marie-France, Hryhorczuk, Daniel, Huang, Rae-Chi, Inskip, Hazel, Jusko, Todd A, Karvonen, Anne M, Koletzko, Berthold, Küpers, Leanne K, Lagström, Hanna, Lawlor, Debbie A, Lehmann, Irina, Lopez-Espinosa, Maria-Jose, Magnus, Per, Majewska, Renata, Mäkelä, Johanna, Manios, Yannis, McDonald, Sheila W, Mommers, Monique, Morgen, Camilla S, Moschonis, George, Murínová, Ľubica, Newnham, John, Nohr, Ellen A, Andersen, Anne-Marie Nybo, Oken, Emily, Oostvogels, Adriëtte JJM, Pac, Agnieszka, Papadopoulou, Eleni, Pekkanen, Juha, Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Rifas-Shiman, Sheryl L, Roeleveld, Nel, Santa-Marina, Loreto, Santos, Ana C, Smit, Henriette A, Sørensen, Thorkild IA, Standl, Marie, Stanislawski, Maggie, Stoltenberg, Camilla, Thiering, Elisabeth, Thijs, Carel, Torrent, Maties, Tough, Suzanne C, Trnovec, Tomas, van Gelder, Marleen MHJ, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja GM, Zvinchuk, Oleksandr, van Buuren, Stef, and Jaddoe, Vincent WV
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Reproductive Medicine ,Biomedical and Clinical Sciences ,Health Sciences ,Conditions Affecting the Embryonic and Fetal Periods ,Pediatric ,Nutrition ,Obesity ,Clinical Research ,Prevention ,Perinatal Period - Conditions Originating in Perinatal Period ,Metabolic and endocrine ,Reproductive health and childbirth ,Good Health and Well Being ,Adult ,Body Mass Index ,Europe ,Female ,Gestational Weight Gain ,Humans ,North America ,Oceania ,Pregnancy ,Pregnancy Complications ,Pregnancy Outcome ,Risk Factors ,Weight gain ,Charts ,References ,Medical and Health Sciences ,General & Internal Medicine ,Biomedical and clinical sciences ,Health sciences - Abstract
BackgroundGestational weight gain differs according to pre-pregnancy body mass index and is related to the risks of adverse maternal and child health outcomes. Gestational weight gain charts for women in different pre-pregnancy body mass index groups enable identification of women and offspring at risk for adverse health outcomes. We aimed to construct gestational weight gain reference charts for underweight, normal weight, overweight, and grades 1, 2 and 3 obese women and to compare these charts with those obtained in women with uncomplicated term pregnancies.MethodsWe used individual participant data from 218,216 pregnant women participating in 33 cohorts from Europe, North America, and Oceania. Of these women, 9065 (4.2%), 148,697 (68.1%), 42,678 (19.6%), 13,084 (6.0%), 3597 (1.6%), and 1095 (0.5%) were underweight, normal weight, overweight, and grades 1, 2, and 3 obese women, respectively. A total of 138, 517 women from 26 cohorts had pregnancies with no hypertensive or diabetic disorders and with term deliveries of appropriate for gestational age at birth infants. Gestational weight gain charts for underweight, normal weight, overweight, and grade 1, 2, and 3 obese women were derived by the Box-Cox t method using the generalized additive model for location, scale, and shape.ResultsWe observed that gestational weight gain strongly differed per maternal pre-pregnancy body mass index group. The median (interquartile range) gestational weight gain at 40 weeks was 14.2 kg (11.4-17.4) for underweight women, 14.5 kg (11.5-17.7) for normal weight women, 13.9 kg (10.1-17.9) for overweight women, and 11.2 kg (7.0-15.7), 8.7 kg (4.3-13.4) and 6.3 kg (1.9-11.1) for grades 1, 2, and 3 obese women, respectively. The rate of weight gain was lower in the first half than in the second half of pregnancy. No differences in the patterns of weight gain were observed between cohorts or countries. Similar weight gain patterns were observed in mothers without pregnancy complications.ConclusionsGestational weight gain patterns are strongly related to pre-pregnancy body mass index. The derived charts can be used to assess gestational weight gain in etiological research and as a monitoring tool for weight gain during pregnancy in clinical practice.
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- 2018
28. Prenatal exposure to PM10 and changes in DNA methylation and telomere length in cord blood
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Isaevska, Elena, Fiano, Valentina, Asta, Federica, Stafoggia, Massimo, Moirano, Giovenale, Popovic, Maja, Pizzi, Costanza, Trevisan, Morena, De Marco, Laura, Polidoro, Silvia, Gagliardi, Luigi, Rusconi, Franca, Brescianini, Sonia, Nisticò, Lorenza, Stazi, Maria Antonietta, Ronfani, Luca, Porta, Daniela, and Richiardi, Lorenzo
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- 2022
- Full Text
- View/download PDF
29. Extracorporeal membrane oxygenation for COVID-19 and influenza H1N1 associated acute respiratory distress syndrome: a multicenter retrospective cohort study
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Fanelli, Vito, Giani, Marco, Grasselli, Giacomo, Mojoli, Francesco, Martucci, Gennaro, Grazioli, Lorenzo, Alessandri, Francesco, Mongodi, Silvia, Sales, Gabriele, Montrucchio, Giorgia, Pizzi, Costanza, Richiardi, Lorenzo, Lorini, Luca, Arcadipane, Antonio, Pesenti, Antonio, Foti, Giuseppe, Patroniti, Nicolò, Brazzi, Luca, and Ranieri, VMarco
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- 2022
- Full Text
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30. Maternal pesticides exposure in pregnancy and the risk of wheezing in infancy: A prospective cohort study
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Maritano, Silvia, Moirano, Giovenale, Popovic, Maja, D'Errico, Antonio, Rusconi, Franca, Maule, Milena, and Richiardi, Lorenzo
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- 2022
- Full Text
- View/download PDF
31. Application of two job indices for general occupational demands in a pooled analysis of case–control studies on lung cancer
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Hovanec, Jan, Siemiatycki, Jack, Conway, David I, Olsson, Ann, Guenel, Pascal, Luce, Danièle, Jöckel, Karl-Heinz, Pohlabeln, Hermann, Ahrens, Wolfgang, Karrasch, Stefan, Wichmann, Heinz-Erich, Gustavsson, Per, Consonni, Dario, Merletti, Franco, Richiardi, Lorenzo, Simonato, Lorenzo, Fortes, Cristina, Parent, Marie-Élise, McLaughlin, John R, Demers, Paul, Landi, Maria Teresa, Caporaso, Neil, Fernández-Tardón, Guillermo, Zaridze, David, Świątkowska, Beata, Pándics, Tamas, Lissowska, Jolanta, Fabianova, Eleonora, Field, John K, Mates, Dana, Bencko, Vladimir, Foretova, Lenka, Janout, Vladimir, Kromhout, Hans, Vermeulen, Roel, Boffetta, Paolo, Straif, Kurt, Schüz, Joachim, Casjens, Swaantje, Pesch, Beate, Brüning, Thomas, and Behrens, Thomas
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- 2021
32. Influence of maternal obesity on the association between common pregnancy complications and risk of childhood obesity: an individual participant data meta-analysis
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Golab, Bernadeta Patro, Santos, Susana, Voerman, Ellis, Lawlor, Debbie A, Jaddoe, Vincent WV, Gaillard, Romy, Authors, MOCO Study Group, Barros, Henrique, Bergström, Anna, Charles, Marie-Aline, Chatzi, Leda, Chevrier, Cécile, Chrousos, George P, Corpeleijn, Eva, Costet, Nathalie, Crozier, Sarah, Devereux, Graham, Eggesbø, Merete, Ekström, Sandra, Fantini, Maria P, Farchi, Sara, Forastiere, Francesco, Georgiu, Vagelis, Godfrey, Keith M, Gori, Davide, Hanke, Wojciech, Hertz-Picciotto, Irva, Heude, Barbara, Hryhorczuk, Daniel, Inskip, Hazel, Ibarluzea, Jesus, Kenny, Louise C, Küpers, Leanne K, Lagström, Hanna, Lehmann, Irina, Lenters, Virissa, Llop, Sabrina Llop, Magnus, Per, Majewska, Renata, Mäkelä, Johanna, Manios, Yannis, McAuliffe, Fionnuala M, McDonald, Sheila W, Mehegan, John, Mommers, Monique, Morgen, Camilla S, Moschonis, George, Murray, Deirdre, Chaoimh, Carol Ní, Nøhr, Ellen A, Andersen, Anne-Marie Nybo, Oken, Emily, Oostvogels, Adriëtte JJM, Pac, Agnieszka, Papadopoulou, Eleni, Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Rifas-Shiman, Sheryl L, Rusconi, Franca, Santos, Ana C, Smit, Henriette A, Sørensen, Thorkild IA, Standl, Marie, Stoltenberg, Camilla, Sunyer, Jordi, Taylor, Michelle, Thiering, Elisabeth, Thijs, Carel, Torrent, Maties, Tough, Suzanne C, Trnovec, Tomas, Turner, Steve, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja, West, Jane, Wright, John, and Zvinchuk, Oleksandr
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Nutrition ,Contraception/Reproduction ,Pediatric ,Obesity ,Prevention ,Clinical Research ,Cardiovascular ,Perinatal Period - Conditions Originating in Perinatal Period ,Diabetes ,Aetiology ,2.1 Biological and endogenous factors ,Metabolic and endocrine ,Reproductive health and childbirth ,Adolescent ,Animals ,Body Mass Index ,Child ,Child ,Preschool ,Diabetes ,Gestational ,Europe ,Female ,Humans ,Hypertension ,Pregnancy-Induced ,Life Style ,North America ,Pediatric Obesity ,Pre-Eclampsia ,Pregnancy ,Pregnancy Complications ,Risk Factors ,MOCO Study Group Authors - Abstract
BackgroundGestational diabetes and gestational hypertensive disorders are associated with offspring obesity, but the role of maternal adiposity in these associations remains unclear. We aimed to investigate whether these pregnancy complications affect the odds of offspring obesity independently of maternal obesity.MethodsWe did an individual participant data (IPD) meta-analysis of mother-offspring pairs from prospective birth cohort studies that had IPD on mothers with singleton liveborn children born from 1989 onwards and had information available about maternal gestational diabetes, gestational hypertension or pre-eclampsia, and childhood body-mass index (BMI). We applied multilevel mixed-effects models to assess associations of gestational diabetes, gestational hypertension, and pre-eclampsia with BMI SD scores and the odds of overweight and obesity throughout childhood, adjusting for lifestyle characteristics (offspring's sex, maternal age, educational level, ethnicity, parity, and smoking during pregnancy). We then explored the extent to which any association was explained by maternal pre-pregnancy or early-pregnancy BMI.Findings160 757 mother-offspring pairs from 34 European or North American cohorts were analysed. Compared with uncomplicated pregnancies, gestational diabetes was associated with increased odds of overweight or obesity throughout childhood (odds ratio [OR] 1·59 [95% CI 1·36 to 1·86] for early childhood [age 2·0-4·9 years], 1·41 [1·26 to 1·57] for mid childhood [5·0-9·9 years], and 1·32 [0·97 to 1·78] for late childhood [10·0-17·9 years]); however, these associations attenuated towards the null following adjustment for maternal BMI (OR 1·35 [95% CI 1·15 to 1·58] for early childhood, 1·12 [1·00 to 1·25] for mid childhood, and 0·96 [0·71 to 1·31] for late childhood). Likewise, gestational hypertension was associated with increased odds of overweight throughout childhood (OR 1·19 [95% CI 1·01 to 1·39] for early childhood, 1·23 [1·15 to 1·32] for mid childhood, and 1·49 [1·30 to 1·70] for late childhood), but additional adjustment for maternal BMI largely explained these associations (1·01 [95% CI 0·86 to 1·19] for early childhood, 1·02 [0·95 to 1·10] for mid childhood, and 1·18 [1·03 to 1·36] for late childhood). Pre-eclampsia was associated with decreased BMI in early childhood only (difference in BMI SD score -0·05 SD score [95% CI -0·09 to -0·01]), and this association strengthened following additional adjustment for maternal BMI.InterpretationAlthough lowering maternal risk of gestational diabetes, gestational hypertension, and pre-eclampsia is important in relation to maternal and fetal pregnancy outcomes, such interventions are unlikely to have a direct impact on childhood obesity. Preventive strategies for reducing childhood obesity should focus on maternal BMI rather than on pregnancy complications.FundingEU's Horizon 2020 research and innovation programme (LifeCycle Project).
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- 2018
33. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium
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Felix, Janine F, Joubert, Bonnie R, Baccarelli, Andrea A, Sharp, Gemma C, Almqvist, Catarina, Annesi-Maesano, Isabella, Arshad, Hasan, Baïz, Nour, Bakermans-Kranenburg, Marian J, Bakulski, Kelly M, Binder, Elisabeth B, Bouchard, Luigi, Breton, Carrie V, Brunekreef, Bert, Brunst, Kelly J, Burchard, Esteban G, Bustamante, Mariona, Chatzi, Leda, Munthe-Kaas, Monica Cheng, Corpeleijn, Eva, Czamara, Darina, Dabelea, Dana, Smith, George Davey, De Boever, Patrick, Duijts, Liesbeth, Dwyer, Terence, Eng, Celeste, Eskenazi, Brenda, Everson, Todd M, Falahi, Fahimeh, Fallin, M Daniele, Farchi, Sara, Fernandez, Mariana F, Gao, Lu, Gaunt, Tom R, Ghantous, Akram, Gillman, Matthew W, Gonseth, Semira, Grote, Veit, Gruzieva, Olena, Håberg, Siri E, Herceg, Zdenko, Hivert, Marie-France, Holland, Nina, Holloway, John W, Hoyo, Cathrine, Hu, Donglei, Huang, Rae-Chi, Huen, Karen, Järvelin, Marjo-Riitta, Jima, Dereje D, Just, Allan C, Karagas, Margaret R, Karlsson, Robert, Karmaus, Wilfried, Kechris, Katerina J, Kere, Juha, Kogevinas, Manolis, Koletzko, Berthold, Koppelman, Gerard H, Küpers, Leanne K, Ladd-Acosta, Christine, Lahti, Jari, Lambrechts, Nathalie, Langie, Sabine AS, Lie, Rolv T, Liu, Andrew H, Magnus, Maria C, Magnus, Per, Maguire, Rachel L, Marsit, Carmen J, McArdle, Wendy, Melén, Erik, Melton, Phillip, Murphy, Susan K, Nawrot, Tim S, Nisticò, Lorenza, Nohr, Ellen A, Nordlund, Björn, Nystad, Wenche, Oh, Sam S, Oken, Emily, Page, Christian M, Perron, Patrice, Pershagen, Göran, Pizzi, Costanza, Plusquin, Michelle, Raikkonen, Katri, Reese, Sarah E, Reischl, Eva, Richiardi, Lorenzo, Ring, Susan, Roy, Ritu P, Rzehak, Peter, Schoeters, Greet, Schwartz, David A, Sebert, Sylvain, Snieder, Harold, Sørensen, Thorkild IA, and Starling, Anne P
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Epidemiology ,Public Health ,Health Sciences ,Statistics ,Mathematical Sciences ,Child Health ,Cohort Studies ,DNA Methylation ,Environmental Pollution ,Epigenesis ,Genetic ,Female ,Folic Acid ,Humans ,Infant ,Newborn ,Maternal Exposure ,Maternal Health ,Pregnancy ,Prenatal Exposure Delayed Effects ,Public Health and Health Services ,Public health - Published
- 2018
34. Applying the exposome concept in birth cohort research : a review of statistical approaches
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Santos, Susana, Maitre, Léa, Warembourg, Charline, Agier, Lydiane, Richiardi, Lorenzo, Basagaña, Xavier, and Vrijheid, Martine
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- 2020
35. The LifeCycle Project-EU Child Cohort Network : a federated analysis infrastructure and harmonized data of more than 250,000 children and parents
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LifeCycle Project Group, Jaddoe, Vincent W. V., Felix, Janine F., Andersen, Anne-Marie Nybo, Charles, Marie-Aline, Chatzi, Leda, Corpeleijn, Eva, Donner, Nina, Elhakeem, Ahmed, Eriksson, Johan G., Foong, Rachel, Grote, Veit, Haakma, Sido, Hanson, Mark, Harris, Jennifer R., Heude, Barbara, Huang, Rae-Chi, Inskip, Hazel, Järvelin, Marjo-Riitta, Koletzko, Berthold, Lawlor, Deborah A., Lindeboom, Maarten, McEachan, Rosemary R. C., Mikkola, Tuija M., Nader, Johanna L. T., de Moira, Angela Pinot, Pizzi, Costanza, Richiardi, Lorenzo, Sebert, Sylvain, Schwalber, Ameli, Sunyer, Jordi, Swertz, Morris A., Vafeiadi, Marina, Vrijheid, Martine, Wright, John, and Duijts, Liesbeth
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- 2020
36. Genome-wide association analyses identify new susceptibility loci for oral cavity and pharyngeal cancer
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Lesseur, Corina, Diergaarde, Brenda, Olshan, Andrew F, Wünsch-Filho, Victor, Ness, Andrew R, Liu, Geoffrey, Lacko, Martin, Eluf-Neto, José, Franceschi, Silvia, Lagiou, Pagona, Macfarlane, Gary J, Richiardi, Lorenzo, Boccia, Stefania, Polesel, Jerry, Kjaerheim, Kristina, Zaridze, David, Johansson, Mattias, Menezes, Ana M, Curado, Maria Paula, Robinson, Max, Ahrens, Wolfgang, Canova, Cristina, Znaor, Ariana, Castellsagué, Xavier, Conway, David I, Holcátová, Ivana, Mates, Dana, Vilensky, Marta, Healy, Claire M, Szeszenia-Dąbrowska, Neonila, Fabiánová, Eleonóra, Lissowska, Jolanta, Grandis, Jennifer R, Weissler, Mark C, Tajara, Eloiza H, Nunes, Fabio D, de Carvalho, Marcos B, Thomas, Steve, Hung, Rayjean J, Peters, Wilbert HM, Herrero, Rolando, Cadoni, Gabriella, Bueno-de-Mesquita, H Bas, Steffen, Annika, Agudo, Antonio, Shangina, Oxana, Xiao, Xiangjun, Gaborieau, Valérie, Chabrier, Amélie, Anantharaman, Devasena, Boffetta, Paolo, Amos, Christopher I, McKay, James D, and Brennan, Paul
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Biological Sciences ,Genetics ,Cancer ,Clinical Research ,Dental/Oral and Craniofacial Disease ,Digestive Diseases ,Human Genome ,Aetiology ,2.1 Biological and endogenous factors ,Aged ,Case-Control Studies ,Female ,Genetic Markers ,Genetic Predisposition to Disease ,Genetic Variation ,Genome-Wide Association Study ,HLA Antigens ,Haplotypes ,Humans ,Male ,Middle Aged ,Mouth ,Mouth Neoplasms ,Papillomaviridae ,Papillomavirus Infections ,Pharyngeal Neoplasms ,Medical and Health Sciences ,Developmental Biology ,Agricultural biotechnology ,Bioinformatics and computational biology - Abstract
We conducted a genome-wide association study of oral cavity and pharyngeal cancer in 6,034 cases and 6,585 controls from Europe, North America and South America. We detected eight significantly associated loci (P < 5 × 10-8), seven of which are new for these cancer sites. Oral and pharyngeal cancers combined were associated with loci at 6p21.32 (rs3828805, HLA-DQB1), 10q26.13 (rs201982221, LHPP) and 11p15.4 (rs1453414, OR52N2-TRIM5). Oral cancer was associated with two new regions, 2p23.3 (rs6547741, GPN1) and 9q34.12 (rs928674, LAMC3), and with known cancer-related loci-9p21.3 (rs8181047, CDKN2B-AS1) and 5p15.33 (rs10462706, CLPTM1L). Oropharyngeal cancer associations were limited to the human leukocyte antigen (HLA) region, and classical HLA allele imputation showed a protective association with the class II haplotype HLA-DRB1*1301-HLA-DQA1*0103-HLA-DQB1*0603 (odds ratio (OR) = 0.59, P = 2.7 × 10-9). Stratified analyses on a subgroup of oropharyngeal cases with information available on human papillomavirus (HPV) status indicated that this association was considerably stronger in HPV-positive (OR = 0.23, P = 1.6 × 10-6) than in HPV-negative (OR = 0.75, P = 0.16) cancers.
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- 2016
37. Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure-response relationships
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Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz-Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Jolanta Lissowska, Jolanta Lissowska, Beata Swiatkowska, Beata Swiatkowska, John K Field, John K Field, McLaughlin, John R, Demers, Paul A, Pandics, Tamas, Forastiere, Francesco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, Peters, Susan, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz-Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Jolanta Lissowska, Jolanta Lissowska, Beata Swiatkowska, Beata Swiatkowska, John K Field, John K Field, McLaughlin, John R, Demers, Paul A, Pandics, Tamas, Forastiere, Francesco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, and Peters, Susan
- Abstract
OBJECTIVES: The quantitative job-exposure matrix SYN-JEM consists of various dimensions: job-specific estimates, region-specific estimates, and prior expert ratings of jobs by the semi-quantitative DOM-JEM. We analyzed the effect of different JEM dimensions on the exposure-response relationships between occupational silica exposure and lung cancer risk to investigate how these variations influence estimates of exposure by a quantitative JEM and associated health endpoints.METHODS: Using SYN-JEM, and alternative SYN-JEM specifications with varying dimensions included, cumulative silica exposure estimates were assigned to 16 901 lung cancer cases and 20 965 controls pooled from 14 international community-based case-control studies. Exposure-response relationships based on SYN-JEM and alternative SYN-JEM specifications were analyzed using regression analyses (by quartiles and log-transformed continuous silica exposure) and generalized additive models (GAM), adjusted for age, sex, study, cigarette pack-years, time since quitting smoking, and ever employment in occupations with established lung cancer risk.RESULTS: SYN-JEM and alternative specifications generated overall elevated and similar lung cancer odds ratios ranging from 1.13 (1st quartile) to 1.50 (4th quartile). In the categorical and log-linear analyses SYN-JEM with all dimensions included yielded the best model fit, and exclusion of job-specific estimates from SYN-JEM yielded the poorest model fit. Additionally, GAM showed the poorest model fit when excluding job-specific estimates.CONCLUSION: The established exposure-response relationship between occupational silica exposure and lung cancer was marginally influenced by varying the dimensions of SYN-JEM. Optimized modelling of exposure-response relationships will be obtained when incorporating all relevant dimensions, namely prior rating, job, time, and region. Quantitative job-specific estimates appeared to be the most prominent dimens
- Published
- 2024
38. Occupational Benzene Exposure and Lung Cancer Risk: A Pooled Analysis of 14 Case-Control Studies
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Wan, Wenxin, Peters, Susan, Portengen, Lützen, Olsson, Ann, Schüz, Joachim, Ahrens, Wolfgang, Schejbalova, Miriam, Boffetta, Paolo, Behrens, Thomas, Brüning, Thomas, Kendzia, Benjamin, Consonni, Dario, Demers, Paul A, Fabiánová, Eleonóra, Fernández-Tardón, Guillermo, Field, John K, Forastiere, Francesco, Foretova, Lenka, Guénel, Pascal, Gustavsson, Per, Jöckel, Karl-Heinz, Karrasch, Stefan, Landi, Maria Teresa, Lissowska, Jolanta, Barul, Christine, Mates, Dana, McLaughlin, John R, Merletti, Franco, Migliore, Enrica, Richiardi, Lorenzo, Pándics, Tamás, Pohlabeln, Hermann, Siemiatycki, Jack, Świątkowska, Beata, Wichmann, Heinz-Erich, Zaridze, David, Ge, Calvin, Straif, Kurt, Kromhout, Hans, Vermeulen, Roel, Wan, Wenxin, Peters, Susan, Portengen, Lützen, Olsson, Ann, Schüz, Joachim, Ahrens, Wolfgang, Schejbalova, Miriam, Boffetta, Paolo, Behrens, Thomas, Brüning, Thomas, Kendzia, Benjamin, Consonni, Dario, Demers, Paul A, Fabiánová, Eleonóra, Fernández-Tardón, Guillermo, Field, John K, Forastiere, Francesco, Foretova, Lenka, Guénel, Pascal, Gustavsson, Per, Jöckel, Karl-Heinz, Karrasch, Stefan, Landi, Maria Teresa, Lissowska, Jolanta, Barul, Christine, Mates, Dana, McLaughlin, John R, Merletti, Franco, Migliore, Enrica, Richiardi, Lorenzo, Pándics, Tamás, Pohlabeln, Hermann, Siemiatycki, Jack, Świątkowska, Beata, Wichmann, Heinz-Erich, Zaridze, David, Ge, Calvin, Straif, Kurt, Kromhout, Hans, and Vermeulen, Roel
- Abstract
Rationale: Benzene has been classified as carcinogenic to humans, but there is limited evidence linking benzene exposure to lung cancer. Objectives: We aimed to examine the relationship between occupational benzene exposure and lung cancer. Methods: Subjects from 14 case-control studies across Europe and Canada were pooled. We used a quantitative job-exposure matrix to estimate benzene exposure. Logistic regression models assessed lung cancer risk across different exposure indices. We adjusted for smoking and five main occupational lung carcinogens and stratified analyses by smoking status and lung cancer subtypes. Measurements and Main Results: Analyses included 28,048 subjects (12,329 cases, 15,719 control subjects). Lung cancer odds ratios ranged from 1.12 (95% confidence interval, 1.03-1.22) to 1.32 (95% confidence interval, 1.18-1.48) (Ptrend = 0.002) for groups with the lowest and highest cumulative occupational exposures, respectively, compared with unexposed subjects. We observed an increasing trend of lung cancer with longer duration of exposure (Ptrend < 0.001) and a decreasing trend with longer time since last exposure (Ptrend = 0.02). These effects were seen for all lung cancer subtypes, regardless of smoking status, and were not influenced by specific occupational groups, exposures, or studies. Conclusions: We found consistent and robust associations between different dimensions of occupational benzene exposure and lung cancer after adjusting for smoking and main occupational lung carcinogens. These associations were observed across different subgroups, including nonsmokers. Our findings support the hypothesis that occupational benzene exposure increases the risk of developing lung cancer. Consequently, there is a need to revisit published epidemiological and molecular data on the pulmonary carcinogenicity of benzene.
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- 2024
39. Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure–response relationships
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Planetary Health & Exposoom, Cancer, Circulatory Health, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E., Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Lissowska, Jolanta, Swiatkowska, Beata, Field, John K., McLaughlin, John R., Demers, Paul A., Pandics, Tamas, Forastiere, Franc Esco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, Peters, Susan, Planetary Health & Exposoom, Cancer, Circulatory Health, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E., Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Lissowska, Jolanta, Swiatkowska, Beata, Field, John K., McLaughlin, John R., Demers, Paul A., Pandics, Tamas, Forastiere, Franc Esco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, and Peters, Susan
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- 2024
40. Lung Cancer Risks Associated with Occupational Exposure to Pairs of Five Lung Carcinogens: Results from a Pooled Analysis of Case-Control Studies (SYNERGY)
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IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Olsson, Ann, Bouaoun, Liacine, Schüz, Joachim, Vermeulen, Roel, Behrens, Thomas, Ge, Calvin, Kromhout, Hans, Siemiatycki, Jack, Gustavsson, Per, Boffetta, Paolo, Kendzia, Benjamin, Radoi, Loredana, Barul, Christine, Karrasch, Stefan, Wichmann, Heinz-Erich, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Merletti, Franco, Migliore, Enrica, Richiardi, Lorenzo, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Field, John K, Lissowska, Jolanta, Świątkowska, Beata, McLaughlin, John R, Demers, Paul A, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Pándics, Tamás, Fabianova, Eleonora, Mates, Dana, Forastiere, Francesco, Straif, Kurt, Brüning, Thomas, Vlaanderen, Jelle, Peters, Susan, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Olsson, Ann, Bouaoun, Liacine, Schüz, Joachim, Vermeulen, Roel, Behrens, Thomas, Ge, Calvin, Kromhout, Hans, Siemiatycki, Jack, Gustavsson, Per, Boffetta, Paolo, Kendzia, Benjamin, Radoi, Loredana, Barul, Christine, Karrasch, Stefan, Wichmann, Heinz-Erich, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Merletti, Franco, Migliore, Enrica, Richiardi, Lorenzo, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Field, John K, Lissowska, Jolanta, Świątkowska, Beata, McLaughlin, John R, Demers, Paul A, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Pándics, Tamás, Fabianova, Eleonora, Mates, Dana, Forastiere, Francesco, Straif, Kurt, Brüning, Thomas, Vlaanderen, Jelle, and Peters, Susan
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- 2024
41. Occupational Benzene Exposure and Lung Cancer Risk: A Pooled Analysis of 14 Case-Control Studies
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IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Wan, Wenxin, Peters, Susan, Portengen, Lützen, Olsson, Ann, Schüz, Joachim, Ahrens, Wolfgang, Schejbalova, Miriam, Boffetta, Paolo, Behrens, Thomas, Brüning, Thomas, Kendzia, Benjamin, Consonni, Dario, Demers, Paul A, Fabiánová, Eleonóra, Fernández-Tardón, Guillermo, Field, John K, Forastiere, Francesco, Foretova, Lenka, Guénel, Pascal, Gustavsson, Per, Jöckel, Karl-Heinz, Karrasch, Stefan, Landi, Maria Teresa, Lissowska, Jolanta, Barul, Christine, Mates, Dana, McLaughlin, John R, Merletti, Franco, Migliore, Enrica, Richiardi, Lorenzo, Pándics, Tamás, Pohlabeln, Hermann, Siemiatycki, Jack, Świątkowska, Beata, Wichmann, Heinz-Erich, Zaridze, David, Ge, Calvin, Straif, Kurt, Kromhout, Hans, Vermeulen, Roel, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Wan, Wenxin, Peters, Susan, Portengen, Lützen, Olsson, Ann, Schüz, Joachim, Ahrens, Wolfgang, Schejbalova, Miriam, Boffetta, Paolo, Behrens, Thomas, Brüning, Thomas, Kendzia, Benjamin, Consonni, Dario, Demers, Paul A, Fabiánová, Eleonóra, Fernández-Tardón, Guillermo, Field, John K, Forastiere, Francesco, Foretova, Lenka, Guénel, Pascal, Gustavsson, Per, Jöckel, Karl-Heinz, Karrasch, Stefan, Landi, Maria Teresa, Lissowska, Jolanta, Barul, Christine, Mates, Dana, McLaughlin, John R, Merletti, Franco, Migliore, Enrica, Richiardi, Lorenzo, Pándics, Tamás, Pohlabeln, Hermann, Siemiatycki, Jack, Świątkowska, Beata, Wichmann, Heinz-Erich, Zaridze, David, Ge, Calvin, Straif, Kurt, Kromhout, Hans, and Vermeulen, Roel
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- 2024
42. Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure-response relationships
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IRAS OH Epidemiology Chemical Agents, Institute for Risk Assesment Sciences, IRAS – One Health Chemical, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz-Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Jolanta Lissowska, Jolanta Lissowska, Beata Swiatkowska, Beata Swiatkowska, John K Field, John K Field, McLaughlin, John R, Demers, Paul A, Pandics, Tamas, Forastiere, Francesco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, Peters, Susan, IRAS OH Epidemiology Chemical Agents, Institute for Risk Assesment Sciences, IRAS – One Health Chemical, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz-Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Jolanta Lissowska, Jolanta Lissowska, Beata Swiatkowska, Beata Swiatkowska, John K Field, John K Field, McLaughlin, John R, Demers, Paul A, Pandics, Tamas, Forastiere, Francesco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, and Peters, Susan
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- 2024
43. Safety and efficacy of drug-eluting stents for patients at high risk of bleedings: A network meta-analysis
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Giacobbe, Federico, Valente, Eduardo, Morena, Arianna, Nebiolo, Marco, Giannino, Giuseppe, De Filippo, Ovidio, Bruno, Francesco, Isaevska, Elena, Richiardi, Lorenzo, Iannaccone, Mario, Zoccai, Giuseppe Biondi, Burzotta, Francesco, D'Ascenzo, Fabrizio, Ferrari, Gaetano Maria De, Burzotta, Francesco (ORCID:0000-0002-6569-9401), Giacobbe, Federico, Valente, Eduardo, Morena, Arianna, Nebiolo, Marco, Giannino, Giuseppe, De Filippo, Ovidio, Bruno, Francesco, Isaevska, Elena, Richiardi, Lorenzo, Iannaccone, Mario, Zoccai, Giuseppe Biondi, Burzotta, Francesco, D'Ascenzo, Fabrizio, Ferrari, Gaetano Maria De, and Burzotta, Francesco (ORCID:0000-0002-6569-9401)
- Abstract
Introduction: Among different coronary stents implanted in High Bleeding Risk (HBR) patients with an indication for short antiplatelet therapy, no comparisons in terms of efficacy have been provided. Methods: A Network Meta Analysis was performed including all randomized controlled trials comparing different coronary stents evaluated in HBR patients. Major Adverse Cardiovascular Events (MACEs) as defined by each included trial were the primary end point, whereas TLR (target lesion revascularization), TVR (target vessel revascularization), stent thrombosis and total and major (BARC3-5) bleedings were the secondary ones. Results: A total of four studies (ONYX ONE, LEADERS FREE, SENIOR and HBR in BIO-RESORT) including 6637 patients were analyzed with different kind of stents and dual antiplatelet therapy (DAPT) length (1 or 6 months) on 12 months follow-up. About one-third of these patients were defined HBR due to indication for oral anticoagulation. All drug eluting stents (DESs) reduced risk of MACE compared to Bare Metal Stents (BMSs) when followed by a 1-month DAPT. At SUCRA analysis, Orsiro was the device with the highest probability of performing best. Rates of TLR and TVR were significantly lower when using Resolute Onyx, Synergy and BioFreedom stents in comparison to BMS when followed by 1-month DAPT, with Synergy ranking best. Synergy also showed a significantly lower number of stent thrombosis compared to BMS (RR 0.28, 95% CI 0.06-0.93), while Orsiro and Resolute Integrity showed the highest probability of performing best. Conclusion: In HBRs patients, all DESs were superior to BMSs in terms of efficacy and safety. Among DESs, Orsiro was the one with the highest ranking in terms of MACE, mainly driven by a reduced incidence of repeated revascularization and stent thrombosis.
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- 2024
44. Transporting results in an observational epidemiology setting: purposes, methods, and applied example
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Scelo, Ghislaine, primary, Zugna, Daniela, additional, Popovic, Maja, additional, Strandberg-Larsen, Katrine, additional, and Richiardi, Lorenzo, additional
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- 2024
- Full Text
- View/download PDF
45. Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure–response relationships
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Ohlander, Johan, primary, Kromhout, Hans, additional, Vermeulen, Roel, additional, Portengen, Lützen, additional, Kendzia, Benjamin, additional, Savary, Barbara, additional, Cavallo, Domenico, additional, Cattaneo, Andrea, additional, Migliori, Enrica, additional, Richiardi, Lorenzo, additional, Plato, Nils, additional, Wichmann, Heinz-Erich, additional, Karrasch, Stefan, additional, Consonni, Dario, additional, Landi, Maria Teresa, additional, Caporaso, Neil E, additional, Siemiatycki, Jack, additional, Gustavsson, Per, additional, Jöckel, Karl-Heinz, additional, Ahrens, Wolfgang, additional, Pohlabeln, Hermann, additional, Fernández-Tardón, Guillermo, additional, Zaridze, David, additional, Jolanta Lissowska, Jolanta Lissowska, additional, Beata Swiatkowska, Beata Swiatkowska, additional, John K Field, John K Field, additional, McLaughlin, John R, additional, Demers, Paul A, additional, Pandics, Tamas, additional, Forastiere, Francesco, additional, Fabianova, Eleonora, additional, Schejbalova, Miriam, additional, Foretova, Lenka, additional, Janout, Vladimir, additional, Mates, Dana, additional, Barul, Christine, additional, Brüning, Thomas, additional, Behrens, Thomas, additional, Straif, Kurt, additional, Schüz, Joachim, additional, Olsson, Ann, additional, and Peters, Susan, additional
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- 2024
- Full Text
- View/download PDF
46. Correction to “Statistical Approaches to Study Exposome-Health Associations in the Context of Repeated Exposure Data: A Simulation Study”
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Warembourg, Charline, primary, Anguita-Ruiz, Augusto, additional, Siroux, Valérie, additional, Slama, Rémy, additional, Vrijheid, Martine, additional, Richiardi, Lorenzo, additional, and Basagaña, Xavier, additional
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- 2024
- Full Text
- View/download PDF
47. Prevalent occupational exposures and risk of lung cancer among women: Results from the application of the Canadian Job‐Exposure Matrix (CANJEM) to a combined set of ten case–control studies
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Xu, Mengting, primary, Ho, Vikki, additional, Lavoué, Jérôme, additional, Olsson, Ann, additional, Schüz, Joachim, additional, Richardson, Lesley, additional, Parent, Marie‐Elise, additional, McLaughlin, John R., additional, Demers, Paul A., additional, Guénel, Pascal, additional, Radoi, Loredana, additional, Wichmann, Heinz‐Erich, additional, Ahrens, Wolfgang, additional, Jöckel, Karl‐Heinz, additional, Consonni, Dario, additional, Landi, Maria T., additional, Richiardi, Lorenzo, additional, Simonato, Lorenzo, additional, 't' Mannetje, Andrea, additional, Świątkowska, Beata, additional, Field, John K., additional, Pearce, Neil, additional, and Siemiatycki, Jack, additional
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- 2024
- Full Text
- View/download PDF
48. Baseline selection on a collider : a ubiquitous mechanism occurring in both representative and selected cohort studies
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Richiardi, Lorenzo, Pearce, Neil, Pagano, Eva, Di Cuonzo, Daniela, Zugna, Daniela, and Pizzi, Costanza
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- 2019
49. Identification of 22 susceptibility loci associated with testicular germ cell tumors
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Pluta, John, Pyle, Louise C., Nead, Kevin T., Wilf, Rona, Li, Mingyao, Mitra, Nandita, Weathers, Benita, D’Andrea, Kurt, Almstrup, Kristian, Anson-Cartwright, Lynn, Benitez, Javier, Brown, Christopher D., Chanock, Stephen, Chen, Chu, Cortessis, Victoria K., Ferlin, Alberto, Foresta, Carlo, Gamulin, Marija, Gietema, Jourik A., Grasso, Chiara, Greene, Mark H., Grotmol, Tom, Hamilton, Robert J., Haugen, Trine B., Hauser, Russ, Hildebrandt, Michelle A. T., Johnson, Matthew E., Karlsson, Robert, Kiemeney, Lambertus A., Lessel, Davor, Lothe, Ragnhild A., Loud, Jennifer T., Loveday, Chey, Martin-Gimeno, Paloma, Meijer, Coby, Nsengimana, Jérémie, Quinn, David I., Rafnar, Thorunn, Ramdas, Shweta, Richiardi, Lorenzo, Skotheim, Rolf I., Stefansson, Kari, Turnbull, Clare, Vaughn, David J., Wiklund, Fredrik, Wu, Xifeng, Yang, Daphne, Zheng, Tongzhang, Wells, Andrew D., Grant, Struan F. A., Rajpert-De Meyts, Ewa, Schwartz, Stephen M., Bishop, D. Timothy, McGlynn, Katherine A., Kanetsky, Peter A., and Nathanson, Katherine L.
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- 2021
- Full Text
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50. Developing an integrated microsimulation model for the impact of fiscal policies on child health in Europe: the example of childhood obesity in Italy
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Rasella, Davide, Richiardi, Lorenzo, Brachowicz, Nicolai, Jara, H. Xavier, Hanson, Mark, Boccia, Delia, Richiardi, Matteo G., and Pizzi, Costanza
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- 2021
- Full Text
- View/download PDF
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