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1. Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania

Author

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

Subjects
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.

Published
2018

3. Influence of maternal obesity on the association between common pregnancy complications and risk of childhood obesity: an individual participant data meta-analysis

Author

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

Subjects
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).

Published
2018

4. Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium

Author

Sharp, Gemma C, Salas, Lucas A, Monnereau, Claire, Allard, Catherine, Yousefi, Paul, Everson, Todd M, Bohlin, Jon, Xu, Zongli, Huang, Rae-Chi, Reese, Sarah E, Xu, Cheng-Jian, Baïz, Nour, Hoyo, Cathrine, Agha, Golareh, Roy, Ritu, Holloway, John W, Ghantous, Akram, Merid, Simon K, Bakulski, Kelly M, Küpers, Leanne K, Zhang, Hongmei, Richmond, Rebecca C, Page, Christian M, Duijts, Liesbeth, Lie, Rolv T, Melton, Phillip E, Vonk, Judith M, Nohr, Ellen A, Williams-DeVane, ClarLynda, Huen, Karen, Rifas-Shiman, Sheryl L, Ruiz-Arenas, Carlos, Gonseth, Semira, Rezwan, Faisal I, Herceg, Zdenko, Ekström, Sandra, Croen, Lisa, Falahi, Fahimeh, Perron, Patrice, Karagas, Margaret R, Quraishi, Bilal M, Suderman, Matthew, Magnus, Maria C, Jaddoe, Vincent WV, Taylor, Jack A, Anderson, Denise, Zhao, Shanshan, Smit, Henriette A, Josey, Michele J, Bradman, Asa, Baccarelli, Andrea A, Bustamante, Mariona, Håberg, Siri E, Pershagen, Göran, Hertz-Picciotto, Irva, Newschaffer, Craig, Corpeleijn, Eva, Bouchard, Luigi, Lawlor, Debbie A, Maguire, Rachel L, Barcellos, Lisa F, Smith, George Davey, Eskenazi, Brenda, Karmaus, Wilfried, Marsit, Carmen J, Hivert, Marie-France, Snieder, Harold, Fallin, M Daniele, Melén, Erik, Munthe-Kaas, Monica C, Arshad, Hasan, Wiemels, Joseph L, Annesi-Maesano, Isabella, Vrijheid, Martine, Oken, Emily, Holland, Nina, Murphy, Susan K, Sørensen, Thorkild IA, Koppelman, Gerard H, Newnham, John P, Wilcox, Allen J, Nystad, Wenche, London, Stephanie J, Felix, Janine F, and Relton, Caroline L

Subjects
Biological Sciences, Genetics, Perinatal Period - Conditions Originating in Perinatal Period, Contraception/Reproduction, Pediatric, Human Genome, Obesity, 2.1 Biological and endogenous factors, Aetiology, Reproductive health and childbirth, Adult, Body Mass Index, Cohort Studies, DNA Methylation, Epigenesis, Genetic, Epigenomics, Female, Humans, Infant, Newborn, Male, Maternal Inheritance, Mothers, Pregnancy, Pregnancy Outcome, Prenatal Exposure Delayed Effects, Medical and Health Sciences, Genetics & Heredity
Abstract

Pre-pregnancy maternal obesity is associated with adverse offspring outcomes at birth and later in life. Individual studies have shown that epigenetic modifications such as DNA methylation could contribute. Within the Pregnancy and Childhood Epigenetics (PACE) Consortium, we meta-analysed the association between pre-pregnancy maternal BMI and methylation at over 450,000 sites in newborn blood DNA, across 19 cohorts (9,340 mother-newborn pairs). We attempted to infer causality by comparing the effects of maternal versus paternal BMI and incorporating genetic variation. In four additional cohorts (1,817 mother-child pairs), we meta-analysed the association between maternal BMI at the start of pregnancy and blood methylation in adolescents. In newborns, maternal BMI was associated with small (

Published
2017

6. Nasal DNA methylation profiling of asthma and rhinitis

Author

Qi, Cancan, Jiang, Yale, Yang, Ivana V., Forno, Erick, Wang, Ting, Vonk, Judith M., Gehring, Ulrike, Smit, Henriëtte A., Milanzi, Edith B., Carpaij, Orestes A., Berg, Marijn, Hesse, Laura, Brouwer, Sharon, Cardwell, Jonathan, Vermeulen, Cornelis J., Acosta-Pérez, Edna, Canino, Glorisa, Boutaoui, Nadia, van den Berge, Maarten, Teichmann, Sarah A., Nawijn, Martijn C., Chen, Wei, Celedón, Juan C., Xu, Cheng-Jian, and Koppelman, Gerard H.

Published
2020
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7. DNA methylation in childhood asthma: an epigenome-wide meta-analysis

Author

Xu, Cheng-Jian, Söderhäll, Cilla, Bustamante, Mariona, Baïz, Nour, Gruzieva, Olena, Gehring, Ulrike, Mason, Dan, Chatzi, Leda, Basterrechea, Mikel, Llop, Sabrina, Torrent, Maties, Forastiere, Francesco, Fantini, Maria Pia, Carlsen, Karin C Lødrup, Haahtela, Tari, Morin, Andréanne, Kerkhof, Marjan, Merid, Simon Kebede, van Rijkom, Bianca, Jankipersadsing, Soesma A, Bonder, Marc Jan, Ballereau, Stephane, Vermeulen, Cornelis J, Aguirre-Gamboa, Raul, de Jongste, Johan C, Smit, Henriette A, Kumar, Ashish, Pershagen, Göran, Guerra, Stefano, Garcia-Aymerich, Judith, Greco, Dario, Reinius, Lovisa, McEachan, Rosemary R C, Azad, Raf, Hovland, Vegard, Mowinckel, Petter, Alenius, Harri, Fyhrquist, Nanna, Lemonnier, Nathanaël, Pellet, Johann, Auffray, Charles, van der Vlies, Pieter, van Diemen, Cleo C, Li, Yang, Wijmenga, Cisca, Netea, Mihai G, Moffatt, Miriam F, Cookson, William O C M, Anto, Josep M, Bousquet, Jean, Laatikainen, Tiina, Laprise, Catherine, Carlsen, Kai-Håkon, Gori, Davide, Porta, Daniela, Iñiguez, Carmen, Bilbao, Jose Ramon, Kogevinas, Manolis, Wright, John, Brunekreef, Bert, Kere, Juha, Nawijn, Martijn C, Annesi-Maesano, Isabella, Sunyer, Jordi, Melén, Erik, and Koppelman, Gerard H

Published
2018
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8. Impact of Repeated Influenza Immunization on Respiratory Illness in Children With Preexisting Medical Conditions

Author

de Hoog, Marieke L.A., Venekamp, Roderick P., Damoiseaux, Roger A.M.J., Schilder, Anne G.M., Sanders, Elisabeth A.M., Smit, Henriette A., and Bruijning-Verhagen, Patricia C.J.L.

Subjects
Pediatric respiratory diseases -- Risk factors -- Prevention, Influenza vaccines -- Dosage and administration -- Testing, Health, Science and technology
Abstract

PURPOSE Annual influenza immunization in medical risk groups is recommended in many countries. Recent evidence suggests that repeated inactivated influenza vaccine (IIV) immunization throughout childhood may impair long-term immunity against influenza. We assessed whether prior immunization altered the effect of IIV in children with preexisting medical conditions on primary care-diagnosed respiratory illness (RI) episodes during the influenza season. METHODS Electronic records of IIV-immunized children who met the criteria for annual IIV immunization according to Dutch guidelines were extracted from a primary care database from 2004 to 2015. For each year, we collected information on IIV immunization status, primary care-attended RI episodes (including influenza-like illness, acute RI, and asthma exacerbation), and potential confounders. Generalized estimating equations were used to model the association between prior IIV and occurrence of at least one RI episode during the influenza season, with 'current year immunized but without IIV history' as reference group. RESULTS A total of 4,183 children (follow-up duration: 11,493 child-years) were IIV immunized at least once. Adjusted estimates showed lower odds for RI in current year-immunized children with prior IIV compared with those without (odds ratio [OR] = 0.61; 95% CI, 0.47-0.78 for 'current year immunized and one IIV in previous 2 years'; OR = 0.85; 95% CI, 0.68-1.07 for 'current year immunized and [greater than or equal to]2 IIVs in previous 3 years, including prior year'). CONCLUSION Repeated IIV immunization in children with preexisting medical conditions has no negative impact on, and may even increase, long-term protection against RI episodes diagnosed during the influenza season in primary care. Key words: influenza; immunization; preexisting medical condition; children; pediatrics; respiratory illness, INTRODUCTION Influenza is a leading cause of respiratory illness (RI) and health care resource use worldwide. (1) Influenza infection and associated complications pose a particular threat to people with preexisting [...]

Published
2019
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11. Mechanisms of the Development of Allergy (MeDALL): Introducing novel concepts in allergy phenotypes

Author

Anto, Josep M., Bousquet, Jean, Akdis, Mubeccel, Auffray, Charles, Keil, Thomas, Momas, Isabelle, Postma, Dirkje S., Valenta, Rudolf, Wickman, Magnus, Cambon-Thomsen, Anne, Haahtela, Tari, Lambrecht, Bart N., Lodrup Carlsen, Karin C., Koppelman, Gerard H., Sunyer, Jordi, Zuberbier, Torsten, Annesi-Maesano, Isabelle, Arno, Albert, Bindslev-Jensen, Carsten, De Carlo, Giuseppe, Forastiere, Francesco, Heinrich, Joachim, Kowalski, Marek L., Maier, Dieter, Melén, Erik, Smit, Henriette A., Standl, Marie, Wright, John, Asarnoj, Anna, Benet, Marta, Ballardini, Natalia, Garcia-Aymerich, Judith, Gehring, Ulrike, Guerra, Stefano, Hohmann, Cynthia, Kull, Inger, Lupinek, Christian, Pinart, Mariona, Skrindo, Ingebjorg, Westman, Marit, Smagghe, Delphine, Akdis, Cezmi, Andersson, Niklas, Bachert, Claus, Ballereau, Stephane, Ballester, Ferran, Basagana, Xavier, Bedbrook, Anna, Bergstrom, Anna, von Berg, Andrea, Brunekreef, Bert, Burte, Emilie, Carlsen, Kai-Hakon, Chatzi, Leda, Coquet, Jonathan M., Curin, Mirela, Demoly, Pascal, Eller, Esben, Fantini, Maria Pia, von Hertzen, Leena, Hovland, Vergard, Jacquemin, Benedicte, Just, Jocelyne, Keller, Theresa, Kiss, Renata, Kogevinas, Manolis, Koletzko, Sibylle, Lau, Susanne, Lehmann, Irina, Lemonnier, Nicolas, Mäkelä, Mika, Mestres, Jordi, Mowinckel, Peter, Nadif, Rachel, Nawijn, Martijn C., Pellet, Johan, Pin, Isabelle, Porta, Daniela, Rancière, Fanny, Rial-Sebbag, Emmanuelle, Saeys, Yvan, Schuijs, Martijn J., Siroux, Valerie, Tischer, Christina G., Torrent, Mathies, Varraso, Raphaelle, Wenzel, Kalus, and Xu, Cheng-Jian

Published
2017
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17. MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis

Author

Aberer, Werner, Adachi, Mitsuru, Agache, Ioana, Akdis, Cezmi, Akdis, Mubeccel, Annesi-Maesano, Isabella, Ansotegui, Ignacio J., Anto, Josep M., Arshad, S. Hasan, Baiardini, Ilaria, Baigenzhin, Abay K., Barbara, Cristina, Bateman, Eric D., Beghé, Bianca, Bel, Elisabeth H., Ben Kheder, Ali, Bennoor, Kazi S., Benson, Michael, Bernstein, David, Michael, Bewick, Thomas, Bieber, Bindslev-Jensen, Carsten, Bjermer, Leif, Blain, Hubert, Boner, Attilio, Bonini, Matteo, Bonini, Sergio, Bosse, Isabelle, Bouchard, Jacques, Boulet, Louis-Philippe, Bourret, Rodolphe A., Bousquet, Philippe J., Braido, Fulvio, Briggs, Andrew H., Brightling, Christopher E., Buhl, Roland, Burney, Peter, Bush, Andrew, Caballero-Fonseca, Fernando, Caimmi, Davide P., Camargos, Paulo, Camuzat, Thierry, Carlsen, Kai-Hakon, Carr, Warner, Casale, Thomas B., Sarabia, Alfonso Cepeda, Chatzi, Leda, Chen, Yuzhi, Chiron, Raphaël, Chkhartishvili, Ekaterine, Chuchalin, Alexander, Ciprandi, Georgio, Cirule, Ieva, Correia de Sousa, Jaime, Costa, David, Crooks, George, Custovic, Adnan, Dahlen, Sven-Erik, Darsow, Ulf, De Blay, Frédéric, De Manuel Keenoy, Esteban, Dedeu, Tony, Deleanu, Diana, Denburg, Judah, Didier, Alain, Dinh-Xuan, Anh-Tuan, Dokic, Dejan, Douagui, Habib B., Dubakiene, Ruta, Durham, Stephen, Dykewicz, Mark, El-Gamal, Yehia, Emuzyte, Regina, Fink-Wagner, Antje, Fiocchi, Alessandro, Forastiere, Francesco, Gamkrelidze, Amiran, Gemicioğlu, Bilun, Gereda, Jose E., Gerth van Wijk, Roy, Gotua, Maia, Grisle, Ineta, Guzmán, M. Antonieta, Haahtela, Tari, Heinrich, Joachim, Hellquist-Dahl, Birthe, Horak, Friedrich, Howarth, Peter H., Humbert, Marc, Hyland, Michael, Ivancevich, Juan-Carlos, Jares, Edgardo J., Johnston, Sebastian L., Jonquet, Olivier, Joos, Guy, Jung, Ki-Suck, Just, Jocelyne, Jutel, Marek, Kaidashev, Igor P., Khaitov, Musa, Kalayci, Omer, Kalyoncu, Fuat, Keith, Paul, Khaltaev, Nikolai, Kleine-Tebbe, Jorg, Klimek, Ludger, N'Goran, Bernard Koffi, Kolek, Vitezlav, Koppelman, Gerard H., Kowalski, Marek, Kull, Inger, Kvedariene, Violeta, Lambrecht, Bart, Lau, Susanne, Laune, Daniel, Le Thi Tuyet, Lan, Li, Jing, Lieberman, Phillipe, Lipworth, Brian J., Renaud, Louis, Magard, Yves, Magnan, Antoine, Mahboub, Bassam, Majer, Ivan, Makela, Mika, Manning, Peter J., Masjedi, Mohamad R., Maurer, Marcus, Mavale-Manuel, Sandra, Melén, Erik, Melo-Gomes, Elisabete, Mercier, Jacques, Merk, Hans, Miculinic, Neven, Mihaltan, Florin, Milenkovic, Branislava, Mohammad, Yousser, Molimard, Mathieu, Momas, Isabelle, Montilla-Santana, Anna, Morais-Almeida, Mario, Mösges, Ralph, Nadif, Rachel, Namazova-Baranova, Leyla, Neffen, Hugo, Nekam, Kristof, Neou, Angelos, Niggemann, Bodo, Nyembue, Dieudonné, O'Hehir, Robyn, Ohta, Ken, Okamoto, Yoshitaka, Okubo, Kim, Ouedraogo, Solange, Paggiaro, Pier-Luigi, Pali-Schöll, Isabella, Palmer, Stephen, Panzner, Petr, Papi, Alberto, Park, Hae-Sim, Pavord, Ian, Pawankar, Ruby, Pfaar, Oliver, Picard, Robert, Pigearias, Bernard, Pin, Isabelle, Plavec, Davor, Pohl, Wolfgang, Popov, Todor, Postma, Dirkje S., Potter, Paul, Poulsen, Lars K., Rabe, Klaus F., Raciborski, Filip, Pontal, Françoise Radier, Reitamo, Sakari, Repka-Ramirez, Maria-Susana, Robalo-Cordeiro, Carlos, Roberts, Graham, Rodenas, Francisco, Rolland, Christine, Rodriguez, Miguel Roman, Romano, Antonino, Rosado-Pinto, José, Rosario, Nelson A., Rosenwasser, Larry, Rottem, Menachem, Sanchez-Borges, Mario, Sastre-Dominguez, Joaquim, Schmid-Grendelmeier, Peter, Serrano, Eli, Simons, F. Estelle R., Sisul, Juan-Carlos, Skrindo, Ingebjorg, Smit, Henriette A., Solé, Dirceu, Sooronbaev, Talant, Spranger, Otto, Stelmach, Rafael, Strandberg, Timo, Sunyer, Jordi, Thijs, Carel, Todo-Bom, Ana-Maria, Triggiani, Massimo, Valenta, Rudolf, Valero, Antonio L., van Hage, Marianne, Vandenplas, Olivier, Vezzani, Giorgio, Vichyanond, Pakit, Viegi, Giovanni, Wagenmann, Martin, Wahn, Ulrich, De Yun, Wang, Williams, Denis, Wright, John, Yawn, Barbara P., Yiallouros, Panayiotis, Yusuf, Osman M., Zar, Heather J., Zernotti, Mario, Zhang, Luo, Zhong, Nanshan, Zidarn, Mihaela, Bousquet, Jean, Schünemann, Holger J., Hellings, Peter W., Arnavielhe, Sylvie, Bachert, Claus, Bedbrook, Anna, Bergmann, Karl-Christian, Bosnic-Anticevich, Sinthia, Brozek, Jan, Calderon, Moises, Canonica, G. Walter, Chavannes, Niels H., Cox, Linda, Chrystyn, Henry, Cruz, Alvaro A., Dahl, Ronald, De Carlo, Giuseppe, Demoly, Pascal, Devillier, Phillipe, Dray, Gérard, Fletcher, Monica, Fokkens, Wytske J., Fonseca, Joao, Gonzalez-Diaz, Sandra N., Grouse, Lawrence, Keil, Thomas, Kuna, Piotr, Larenas-Linnemann, Désirée, Lodrup Carlsen, Karin C., Meltzer, Eli O., Mullol, Jaoquim, Muraro, Antonella, Naclerio, Robert N., Palkonen, Susanna, Papadopoulos, Nikolaos G., Passalacqua, Giovanni, Price, David, Ryan, Dermot, Samolinski, Boleslaw, Scadding, Glenis K., Sheikh, Aziz, Spertini, François, Valiulis, Arunas, Valovirta, Erkka, Walker, Samantha, Wickman, Magnus, Yorgancioglu, Arzu, and Zuberbier, Torsten

Published
2016
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18. Doublesex and mab-3 related transcription factor 1 (DMRT1) is a sex-specific genetic determinant of childhood-onset asthma and is expressed in testis and macrophages

Author

Schieck, Maximilian, Schouten, Jan P., Michel, Sven, Suttner, Kathrin, Toncheva, Antoaneta A., Gaertner, Vincent D., Illig, Thomas, Lipinski, Simone, Franke, Andre, Klintschar, Michael, Kalayci, Omer, Sahiner, Umit M., Birben, Esra, Melén, Erik, Pershagen, Göran, Freidin, Maxim B., Ogorodova, Ludmila M., Granell, Raquel, Henderson, John, Brunekreef, Bert, Smit, Henriëtte A., Vogelberg, Christian, von Berg, Andrea, Bufe, Albrecht, Heinzmann, Andrea, Laub, Otto, Rietschel, Ernst, Simma, Burkhard, Genuneit, Jon, Jonigk, Danny, Postma, Dirkje S., Koppelman, Gerard H., Vonk, Judith M., Timens, Wim, Boezen, H. Marike, and Kabesch, Michael

Published
2016
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21. Exposure to air pollution and development of asthma and rhinoconjunctivitis throughout childhood and adolescence: a population-based birth cohort study

Author

Gehring, Ulrike, Wijga, Alet H, Hoek, Gerard, Bellander, Tom, Berdel, Dietrich, Brüske, Irene, Fuertes, Elaine, Gruzieva, Olena, Heinrich, Joachim, Hoffmann, Barbara, de Jongste, Johan C, Klümper, Claudia, Koppelman, Gerard H, Korek, Michal, Krämer, Ursula, Maier, Dieter, Melén, Erik, Pershagen, Göran, Postma, Dirkje S, Standl, Marie, von Berg, Andrea, Anto, Josep M, Bousquet, Jean, Keil, Thomas, Smit, Henriette A, and Brunekreef, Bert

Published
2015
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27. Birth cohorts in asthma and allergic diseases: Report of a NIAID/NHLBI/MeDALL joint workshop

Author

Bousquet, Jean, Gern, James E., Martinez, Fernando D., Anto, Josep M., Johnson, Christine C., Holt, Patrick G., Lemanske, Robert F., Jr., Le Souëf, Peter N., Tepper, Robert S., von Mutius, Erika R.M., Arshad, S. Hasan, Bacharier, Leonard B., Becker, Allan, Belanger, Kathleen, Bergström, Anna, Bernstein, David I., Cabana, Michael D., Carroll, Kecia N., Castro, Mario, Cooper, Philip J., Gillman, Matthew W., Gold, Diane R., Henderson, John, Heinrich, Joachim, Hong, Soo-Jong, Jackson, Daniel J., Keil, Thomas, Kozyrskyj, Anita L., Lødrup Carlsen, Karin C., Miller, Rachel L., Momas, Isabelle, Morgan, Wayne J., Noel, Patricia, Ownby, Dennis R., Pinart, Mariona, Ryan, Patrick H., Schwaninger, Julie M., Sears, Malcolm R., Simpson, Angela, Smit, Henriette A., Stern, Debra A., Subbarao, Padmaja, Valenta, Rudolf, Wang, Xiaobin, Weiss, Scott T., Wood, Robert, Wright, Anne L., Wright, Rosalind J., Togias, Alkis, and Gergen, Peter J.

Published
2014
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29. Elemental Composition of Particulate Matter and the Association with Lung Function

Author

Eeftens, Marloes, Hoek, Gerard, Gruzieva, Olena, Mölter, Anna, Agius, Raymond, Beelen, Rob, Brunekreef, Bert, Custovic, Adnan, Cyrys, Josef, Fuertes, Elaine, Heinrich, Joachim, Hoffmann, Barbara, de Hoogh, Kees, Jedynska, Aleksandra, Keuken, Menno, Klümper, Claudia, Kooter, Ingeborg, Krämer, Ursula, Korek, Michal, Koppelman, Gerard H., Kuhlbusch, Thomas A., Simpson, Angela, Smit, Henriëtte A., Tsai, Ming-Yi, Wang, Meng, Wolf, Kathrin, Pershagen, Göran, and Gehring, Ulrike

Published
2014

33. Detecting Acute Otitis Media Symptom Episodes Using a Mobile App: Cohort Study

Author

Prins-van Ginkel, Annemarijn C, de Hoog, Marieke LA, Uiterwaal, C, Smit, Henriette A, and Bruijning-Verhagen, Patricia CJ

Subjects
Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270
Abstract

BackgroundPopulation cohort studies are useful to study infectious diseases episodes not attended by health care services, but conventional paper diaries and questionnaires to capture cases are prone to noncompliance and recall bias. Use of smart technology in this setting may improve case finding. ObjectiveThe objective of our study was to validate an interactive mobile app for monitoring occurrence of acute infectious diseases episodes in individuals, independent of health care seeking, using acute otitis media (AOM) symptom episodes in infants as a case study. We were interested in determining participant compliance and app performance in detecting and ascertaining (parent-reported) AOM symptom episodes with this novel tool compared with traditional methods used for monitoring study participants. MethodsWe tested the InfectieApp research app to detect AOM symptom episodes. In 2013, we followed 155 children aged 0 to 3 years for 4 months. Parents recorded the presence of AOM symptoms in a paper diary for 4 consecutive months and completed additional disease questionnaires when AOM symptoms were present. In 2015 in a similar cohort of 69 children, parents used an AOM diary and questionnaire app instead. ResultsDuring conventional and app-based recording, 93.13% (17,244/18,516) and 94.56% (7438/7866) of symptom diaries were returned, respectively, and at least one symptom was recorded for 32.50% (n=5606) and 43.99% (n=3272) of diary days (P

Published
2017
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47. The joint effect of maternal smoking during pregnancy and maternal pre-pregnancy overweight on infants' term birth weight

Author

Chattrapiban, Thanin, Smit, Henriette A, Wijga, Alet H, Brunekreef, Bert, Vonk, Judith M, Gehring, Ulrike, van Rossem, Lenie, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Groningen Research Institute for Asthma and COPD (GRIAC), IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, and Obstetrics & Gynecology

Subjects
Adult, Male, medicine.medical_specialty, Interaction, Maternal smoking, Birth weight, Reproductive medicine, Netherlands/epidemiology, Overweight/epidemiology, Overweight, lcsh:Gynecology and obstetrics, Sensitivity and Specificity, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Pregnancy, Surveys and Questionnaires, medicine, Birth Weight, EPIDEMIOLOGY, Humans, 030212 general & internal medicine, lcsh:RG1-991, Netherlands, 030219 obstetrics & reproductive medicine, Obstetrics, Pre pregnancy, business.industry, Smoking, Infant, Newborn, Infant, Obstetrics and Gynecology, Smoking/epidemiology, Newborn, medicine.disease, BODY-MASS INDEX, OBESITY, Term Birth, Female, CIGARETTE-SMOKING, medicine.symptom, GAIN, Infants term, business, Research Article
Abstract

Background It is well known that maternal smoking during pregnancy and maternal pre-pregnancy overweight have opposite effects on the infants’ birth weight. We report on the association of the combination between both risk factors and the infants’ birth weight. Methods We studied 3241 infants born at term in the PIAMA birth cohort. Maternal smoking during pregnancy and pre-pregnancy height and weight were self-reported. Multivariable regression analysis was performed to assess the associations between infants of mothers who only smoked during pregnancy, who only had pre-pregnancy overweight and who had both risk factors simultaneously, on term birth weight and the risk of being SGA or LGA. Results Of 3241 infants, 421 infants (13%) were born to smoking, non-overweight mothers, 514 (15.8%) to non-smoking, overweight mothers, 129 (4%) to smoking and overweight mothers and 2177 (67%) to non-smoking, non-overweight mothers (reference group). Infants of mothers who smoked and also had pre-pregnancy overweight had similar term birth weight (− 26.6 g, 95%CI: − 113.0, 59.8), SGA risk (OR = 1.06, 95%CI: 0.56, 2.04), and LGA risk (OR = 1.09, 95%CI: 0.61, 1.96) as the reference group. Conclusions Our findings suggested that the effects of maternal smoking during pregnancy and maternal pre-pregnancy overweight on infants’ birth weight cancel each other out. Therefore, birth weight may not be a good indicator of an infant’s health status in perinatal practice because it may mask potential health risks due to these maternal risk factors when both present together.

Published
2021

48. A widening gap between boys and girls in musculoskeletal complaints, while growing up from age 11 to age 20 - The PIAMA Birth Cohort Study

Author

Picavet, H Susan J, Gehring, Ulrike, van Haselen, Amanda, Koppelman, Gerard H, van de Putte, Elise M, Vader, Sarah, van der Wouden, J Hans C, Schmits, Ruben J H, Smit, Henriette A, Wijga, Alet, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, One Health Chemisch, LS IRAS EEPI ME (Milieu epidemiologie), Groningen Research Institute for Asthma and COPD (GRIAC), APH - Quality of Care, APH - Aging & Later Life, General practice, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, One Health Chemisch, and LS IRAS EEPI ME (Milieu epidemiologie)

Subjects
Adult, Male, Adolescent, Logistic regression, upper extremity complaints, Musculoskeletal complaints, Cohort Studies, Young Adult, 03 medical and health sciences, Sex Factors, 0302 clinical medicine, lower extremity complaints, Hypersensitivity, Animals, Humans, Medicine, 030212 general & internal medicine, Child, boys and girls, Asthma, Early onset, Mites, back complaints, business.industry, Incidence, Persistent pain, Incidence (epidemiology), Original Articles, medicine.disease, Anesthesiology and Pain Medicine, Lifestyle factors, children and adolescents, Original Article, Female, Birth cohort, business, Psychosocial, 030217 neurology & neurosurgery, Demography
Abstract

Introduction: The adolescent years represent a key period for the development of musculoskeletal complaints (MSC) and the differences between boys and girls. We evaluated the prevalence and course of MSC and factors associated with MSC while growing up from age 11 to age 20. Methods: Questionnaire-based data at age 11 (n = 2,638), age 14 (n = 2,517), age 17 (n = 2,094) and at age 20 (n = 2,206) from the ongoing Prevention and Incidence of Asthma and Mite Allergy (PIAMA) birth cohort were analyzed. MSC refers to pain of lower back, upper- and/or lower extremities. A multivariable logistic regression analysis was used to evaluate a number of factors in relation to persistent pain (pain reported at three out of four measurements). Results: Prevalence of MSC increased from 14.2% at age 11 to 22.1% at age 20 for boys, and from 17.4% at age 11 to 37.9% at age 20 for girls. Persistent pain was found among 5.1% of the boys and 16.5% of the girls. Being bullied, sleeping problems and tiredness during the day were significantly associated with persistent pain, in both boys and girls, while the latter two were more prevalent among girls. Self-reported (sports-) accidents, and among girls also early onset of puberty, were also significantly associated with persistent pain, but lifestyle factors, such as physical activity and smoking, were not. Conclusion: The prevalence of MSC increases during adolescence, with a widening gap between boys and girls. The factors associated with MSC are similar in boys and girls, though the prevalence of some of these differ by sex. Significance: Measuring a group of youngsters 4 times between age 11 and 20 shows an increase in the percentage reporting musculoskeletal complaints (MSC) with a widening gap between girls and boys, with more pain among girls. Boys and girls do hardly differ with respect to factors associated with MSC, being mainly psychosocial factors and (sports) accidents.

Published
2021

49. A widening gap between boys and girls in musculoskeletal complaints, while growing up from age 11 to age 20 - the PIAMA birth Cohort study

Author

IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, One Health Chemisch, LS IRAS EEPI ME (Milieu epidemiologie), Picavet, H Susan J, Gehring, Ulrike, van Haselen, Amanda, Koppelman, Gerard H, van de Putte, Elise M, Vader, Sarah, van der Wouden, J Hans C, Schmits, Ruben J H, Smit, Henriette A, Wijga, Alet, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, One Health Chemisch, LS IRAS EEPI ME (Milieu epidemiologie), Picavet, H Susan J, Gehring, Ulrike, van Haselen, Amanda, Koppelman, Gerard H, van de Putte, Elise M, Vader, Sarah, van der Wouden, J Hans C, Schmits, Ruben J H, Smit, Henriette A, and Wijga, Alet

Published
2021

50. A widening gap between boys and girls in musculoskeletal complaints, while growing up from age 11 to age 20 - the PIAMA birth Cohort study

Author

Sociale pediatrie onderzoek 1, Child Health, Regenerative Medicine and Stem Cells, Public Health Practice, Public Health Epidemiologie, Picavet, H. Susan J., Gehring, Ulrike, van Haselen, Amanda, Koppelman, Gerard H., van de Putte, Elise M., Vader, Sarah, van der Wouden, J. (Hans) C., Schmits, Ruben J.H., Smit, Henriette A., Wijga, Alet, Sociale pediatrie onderzoek 1, Child Health, Regenerative Medicine and Stem Cells, Public Health Practice, Public Health Epidemiologie, Picavet, H. Susan J., Gehring, Ulrike, van Haselen, Amanda, Koppelman, Gerard H., van de Putte, Elise M., Vader, Sarah, van der Wouden, J. (Hans) C., Schmits, Ruben J.H., Smit, Henriette A., and Wijga, Alet

Published
2021

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