322 results on '"Polanska, Kinga"'
Search Results
2. Assessing external exposome by implementing an Environmental Data Management System using Open Data
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Tagliaferro, Sofia, Maio, Sara, Pirona, Federico, Stanisci, Ilaria, Sarno, Giuseppe, Silvi, Patrizia, Kermenidou, Marianthi, Papaioannou, Nafsika, Perchard, Reena, Prpic, Igor, Polanska, Kinga, Jerzynska, Joanna, Ramos, Elisabete, Rovira, Joaquim, Belmonte, Jordina, Snoj Tratnik, Janja Snoj, Horvat, Milena, Kocman, David, Spiric, Zdravko, Zickella, Jacqueline, Fasola, Salvatore, La Grutta, Stefania, Malizia, Velia, Montalbano, Laura, Baldacci, Sandra, and Annesi-Maesano, Isabella
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- 2024
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3. 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
4. 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
5. Susceptibility to tobacco use and associated factors among youth in five central and eastern European countries
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Polanska, Kinga, Znyk, Malgorzata, and Kaleta, Dorota
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- 2022
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6. Working life, health and well-being of parents : a joint effort to uncover hidden treasures in European birth cohorts
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Ubalde-Lopez, Monica, Garani-Papadatos, Tina, Scelo, Ghislaine, Casas, Maribel, Lissåker, Claudia, Peters, Susan, Nohr, Ellen Aagaard, Albin, Maria, Lucas, Raquel, Papantoniou, Kyriaki, Polańska, Kinga, Ramlau-Hansen, Cecilia H, Šarac, Jelena, Selander, Jenny, Skröder, Helena, Vasileiou, Elena, Kogevinas, Manolis, Bültmann, Ute, Mehlum, Ingrid Sivesind, and Maule, Milena
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- 2021
7. 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
8. Maternal dietary quality, inflammatory potential and childhood adiposity: an individual participant data pooled analysis of seven European cohorts in the ALPHABET consortium
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Chen, Ling-Wei, Aubert, Adrien M., Shivappa, Nitin, Bernard, Jonathan Y., Mensink-Bout, Sara M., Geraghty, Aisling A., Mehegan, John, Suderman, Matthew, Polanska, Kinga, Hanke, Wojciech, Jankowska, Agnieszka, Relton, Caroline L., Crozier, Sarah R., Harvey, Nicholas C., Cooper, Cyrus, Hanson, Mark, Godfrey, Keith M., Gaillard, Romy, Duijts, Liesbeth, Heude, Barbara, Hébert, James R., McAuliffe, Fionnuala M., Kelleher, Cecily C., and Phillips, Catherine M.
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- 2021
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9. Human-Biomonitoring derived exposure and Daily Intakes of Bisphenol A and their associations with neurodevelopmental outcomes among children of the Polish Mother and Child Cohort Study
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Garí, Mercè, Moos, Rebecca, Bury, Daniel, Kasper-Sonnenberg, Monika, Jankowska, Agnieszka, Andysz, Aleksandra, Hanke, Wojciech, Nowak, Dennis, Bose-O’Reilly, Stephan, Koch, Holger M., and Polanska, Kinga
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- 2021
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10. Prenatal polyunsaturated fatty acids and childhood atopic dermatitis
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Polanska, Kinga, primary, Korzeniowska, Monika Bobrowska, additional, Trafalska, Elzbieta, additional, and Jerzynska, Alexandra, additional
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- 2023
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11. Biomarkers of exposure in environment-wide association studies – Opportunities to decode the exposome using human biomonitoring data
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Steckling, Nadine, Gotti, Alberto, Bose-O’Reilly, Stephan, Chapizanis, Dimitris, Costopoulou, Danae, De Vocht, Frank, Garí, Mercè, Grimalt, Joan O., Heath, Ester, Hiscock, Rosemary, Jagodic, Marta, Karakitsios, Spyros P., Kedikoglou, Kleopatra, Kosjek, Tina, Leondiadis, Leondios, Maggos, Thomas, Mazej, Darja, Polańska, Kinga, Povey, Andrew, Rovira, Joaquim, Schoierer, Julia, Schuhmacher, Marta, Špirić, Zdravko, Stajnko, Anja, Stierum, Rob, Tratnik, Janja Snoj, Vassiliadou, Irene, Annesi-Maesano, Isabella, Horvat, Milena, and Sarigiannis, Dimosthenis A.
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- 2018
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12. Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project - EU Child Cohort Network: A Cohort Description
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Nader, Johanna L., primary, López-Vicente, Mònica, additional, Julvez, Jordi, additional, Guxens, Monica, additional, Cadman, Tim, additional, Elhakeem, Ahmed, additional, Järvelin, Marjo-Riitta, additional, Rautio, Nina, additional, Miettunen, Jouko, additional, El Marroun, Hanan, additional, Melchior, Maria, additional, Heude, Barbara, additional, Charles, Marie-Aline, additional, Yang, Tiffany C., additional, McEachan, Rosemary R. C., additional, Wright, John, additional, Polanska, Kinga, additional, Carson, Jennie, additional, Lin, Ashleigh, additional, Rauschert, Sebastian, additional, Huang, Rae-Chi, additional, Popovic, Maja, additional, Richiardi, Lorenzo, additional, Corpeleijn, Eva, additional, Cardol, Marloes, additional, Mikkola, Tuija M., additional, Eriksson, Johan G., additional, Salika, Theodosia, additional, Inskip, Hazel, additional, Vinther, Johan Lerbech, additional, Strandberg-Larsen, Katrine, additional, Gürlich, Kathrin, additional, Grote, Veit, additional, Koletzko, Berthold, additional, Vafeiadi, Marina, additional, Sunyer, Jordi, additional, Jaddoe, Vincent W. V., additional, and Harris, Jennifer R., additional
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- 2023
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13. Measures of Early-life Behavior and Later Psychopathology in the LifeCycle Project-EU Child Cohort Network:A Cohort Description
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Nader, Johanna L., López-Vicente, Mònica, Julvez, Jordi, Guxens, Monica, Cadman, Tim, Elhakeem, Ahmed, Järvelin, Marjo Riitta, Rautio, Nina, Miettunen, Jouko, Marroun, Hanan El, Melchior, Maria, Heude, Barbara, Charles, Marie Aline, Yang, Tiffany C., McEachan, Rosemary R.C., Wright, John, Polanska, Kinga, Carson, Jennie, Lin, Ashleigh, Rauschert, Sebastian, Huang, Rae Chi, Popovic, Maja, Richiardi, Lorenzo, Corpeleijn, Eva, Cardol, Marloes, Mikkola, Tuija M., Eriksson, Johan G., Salika, Theodosia, Inskip, Hazel, Vinther, Johan Lerbech, Strandberg-Larsen, Katrine, Gürlich, Kathrin, Grote, Veit, Koletzko, Berthold, Vafeiadi, Marina, Sunyer, Jordi, Jaddoe, Vincent W.V., Harris, Jennifer R., Nader, Johanna L., López-Vicente, Mònica, Julvez, Jordi, Guxens, Monica, Cadman, Tim, Elhakeem, Ahmed, Järvelin, Marjo Riitta, Rautio, Nina, Miettunen, Jouko, Marroun, Hanan El, Melchior, Maria, Heude, Barbara, Charles, Marie Aline, Yang, Tiffany C., McEachan, Rosemary R.C., Wright, John, Polanska, Kinga, Carson, Jennie, Lin, Ashleigh, Rauschert, Sebastian, Huang, Rae Chi, Popovic, Maja, Richiardi, Lorenzo, Corpeleijn, Eva, Cardol, Marloes, Mikkola, Tuija M., Eriksson, Johan G., Salika, Theodosia, Inskip, Hazel, Vinther, Johan Lerbech, Strandberg-Larsen, Katrine, Gürlich, Kathrin, Grote, Veit, Koletzko, Berthold, Vafeiadi, Marina, Sunyer, Jordi, Jaddoe, Vincent W.V., and Harris, Jennifer R.
- Abstract
Background: The EU LifeCycle Project was launched in 2017 to combine, harmonize, and analyze data from more than 250,000 participants across Europe and Australia, involving cohorts participating in the EU-funded LifeCycle Project. The purpose of this cohort description is to provide a detailed overview of the major measures within mental health domains that are available in 17 European and Australian cohorts participating in the LifeCycle Project. Methods: Data on cognitive, behavioral, and psychological development has been collected on participants from birth until adulthood through questionnaire and medical data. We developed an inventory of the available data by mapping individual instruments, domain types, and age groups, providing the basis for statistical harmonization across mental health measures. Results: The mental health data in LifeCycle contain longitudinal and cross-sectional data from birth throughout the life course, covering domains across a wide range of behavioral and psychopathology indicators and outcomes, including executive function, depression, ADHD, and cognition. These data span a unique combination of qualitative data collected through behavioral/cognitive/mental health questionnaires and examination, as well as data from biological samples and indices in the form of imaging (MRI, fetal ultrasound) and DNA methylation data. Harmonized variables on a subset of mental health domains have been developed, providing statistical equivalence of measures required for longitudinal meta-analyses across instruments and cohorts. Conclusion: Mental health data harmonized through the LifeCycle project can be used to study life-course trajectories and exposure-outcome models that examine early life risk factors for mental illness and develop predictive markers for later-life disease.
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- 2023
14. Cohort description:Measures of early-life behaviour and later psychopathology in the LifeCycle Project - EU Child Cohort Network
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Nader, Johanna L, López-Vicente, Mònica, Julvez, Jordi, Guxens, Monica, Cadman, Tim, Elhakeem, Ahmed, Järvelin, Marjo-Riitta, Rautio, Nina, Miettunen, Jouko, El Marroun, Hanan, Melchior, Maria, Heude, Barbara, Charles, Marie-Aline, Yang, Tiffany C, McEachan, Rosemary R C, Wright, John, Polanska, Kinga, Carson, Jennie, Lin, Ashleigh, Rauschert, Sebastian, Huang, Rae-Chi, Popovic, Maja, Richiardi, Lorenzo, Corpeleijn, Eva, Cardol, Marloes, Mikkola, Tuija M, Eriksson, Johan G, Salika, Theodosia, Inskip, Hazel, Vinther, Johan Lerbech, Strandberg-Larsen, Katrine, Gürlich, Kathrin, Grote, Veit, Koletzko, Berthold, Vafeiadi, Marina, Sunyer, Jordi, Jaddoe, Vincent W V, Harris, Jennifer R, Nader, Johanna L, López-Vicente, Mònica, Julvez, Jordi, Guxens, Monica, Cadman, Tim, Elhakeem, Ahmed, Järvelin, Marjo-Riitta, Rautio, Nina, Miettunen, Jouko, El Marroun, Hanan, Melchior, Maria, Heude, Barbara, Charles, Marie-Aline, Yang, Tiffany C, McEachan, Rosemary R C, Wright, John, Polanska, Kinga, Carson, Jennie, Lin, Ashleigh, Rauschert, Sebastian, Huang, Rae-Chi, Popovic, Maja, Richiardi, Lorenzo, Corpeleijn, Eva, Cardol, Marloes, Mikkola, Tuija M, Eriksson, Johan G, Salika, Theodosia, Inskip, Hazel, Vinther, Johan Lerbech, Strandberg-Larsen, Katrine, Gürlich, Kathrin, Grote, Veit, Koletzko, Berthold, Vafeiadi, Marina, Sunyer, Jordi, Jaddoe, Vincent W V, and Harris, Jennifer R
- Abstract
BACKGROUND: The EU LifeCycle Project was launched in 2017 to combine, harmonise, and analyse data from more than 250,000 participants across Europe and Australia, involving cohorts participating in the EU-funded LifeCycle Project. The purpose of this cohort description is to provide a detailed overview over the major measures within mental health domains that are available in 17 European and Australian cohorts participating in the LifeCycle Project.METHODS: Data on cognitive, behavioural and psychological development has been collected on participants from birth until adulthood through questionnaire and medical data. We developed an inventory of the available data by mapping individual instruments, domain types, and age groups, providing the basis for statistical harmonization across mental health measures.RESULTS: The mental health data in LifeCycle contain longitudinal and cross-sectional data for ages 0-18+ years, covering domains across a wide range of behavioural and psychopathology indicators and outcomes (including executive function, depression, ADHD and cognition). These data span a unique combination of qualitative data collected through behavioural/cognitive/mental health questionnaires and examination, as well as data from biological samples and indices in the form of brain imaging (MRI, foetal ultrasound) and DNA methylation data. Harmonized variables on a subset of mental health domains have been developed, providing statistical equivalence of measures required for longitudinal meta-analyses across instruments and cohorts.CONCLUSION: Mental health data harmonized through the LifeCycle project can be used to study life course trajectories and exposure-outcome models that examine early life risk factors for mental illness and develop predictive markers for later-life disease.
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- 2023
15. Associations of maternal dietary inflammatory potential and quality with offspring birth outcomes: An individual participant data pooled analysis of 7 European cohorts in the ALPHABET consortium
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Chen, Ling-Wei, Aubert, Adrien M., Shivappa, Nitin, Bernard, Jonathan Y., Mensink-Bout, Sara M., Geraghty, Aisling A., Mehegan, John, Suderman, Matthew, Polanska, Kinga, Hanke, Wojciech, Trafalska, Elzbieta, Relton, Caroline L., Crozier, Sarah R., Harvey, Nicholas C., Cooper, Cyrus, Duijts, Liesbeth, Heude, Barbara, Hébert, James R., McAuliffe, Fionnuala M., Kelleher, Cecily C., and Phillips, Catherine M.
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Birth weight, Low -- Risk factors ,Pregnant women -- Food and nutrition ,Gestational age -- Health aspects ,Prenatal influences -- Health aspects ,Diet -- Health aspects ,Biological sciences - Abstract
Background Adverse birth outcomes are major causes of morbidity and mortality during childhood and associate with a higher risk of noncommunicable diseases in adult life. Maternal periconception and antenatal nutrition, mostly focusing on single nutrients or foods, has been shown to influence infant birth outcomes. However, evidence on whole diet that considers complex nutrient and food interaction is rare and conflicting. We aim to elucidate the influence of whole-diet maternal dietary inflammatory potential and quality during periconceptional and antenatal periods on birth outcomes. Methods and findings We harmonized and pooled individual participant data (IPD) from up to 24,861 mother-child pairs in 7 European mother-offspring cohorts [cohort name, country (recruitment dates): ALSPAC, UK (1 April 1991 to 31 December 1992); EDEN, France (27 January 2003 to 6 March 2006); Generation R, the Netherlands (1 April 2002 to 31 January 2006); Lifeways, Ireland (2 October 2001 to 4 April 2003); REPRO_PL, Poland (18 September 2007 to 16 December 2011); ROLO, Ireland (1 January 2007 to 1 January 2011); SWS, United Kingdom (6 April 1998 to 17 December 2002)]. Maternal diets were assessed preconceptionally (n = 2 cohorts) and antenatally (n = 7 cohorts). Maternal dietary inflammatory potential and quality were ranked using the energy-adjusted Dietary Inflammatory Index (E-DII) and Dietary Approaches to Stop Hypertension (DASH) index, respectively. Primary outcomes were birth weight and gestational age at birth. Adverse birth outcomes, i.e., low birth weight (LBW), macrosomia, small-for-gestational-age (SGA), large-for-gestational-age (LGA), preterm and postterm births were defined according to standard clinical cutoffs. Associations of maternal E-DII and DASH scores with infant birth outcomes were assessed using cohort-specific multivariable regression analyses (adjusted for confounders including maternal education, ethnicity, prepregnancy body mass index (BMI), maternal height, parity, cigarettes smoking, and alcohol consumption), with subsequent random-effects meta-analyses. Overall, the study mothers had a mean ± SD age of 29.5 ± 4.9 y at delivery and a mean BMI of 23.3 ± 4.2 kg/m.sup.2 . Higher pregnancy DASH score (higher dietary quality) was associated with higher birth weight [[beta](95% CI) = 18.5(5.7, 31.3) g per 1-SD higher DASH score; P value = 0.005] and head circumference [0.03(0.01, 0.06) cm; P value = 0.004], longer birth length [0.05(0.01, 0.10) cm; P value = 0.010], and lower risk of delivering LBW [odds ratio (OR) (95% CI) = 0.89(0.82, 0.95); P value = 0.001] and SGA [0.87(0.82, 0.94); P value < 0.001] infants. Higher maternal prepregnancy E-DII score (more pro-inflammatory diet) was associated with lower birth weight [[beta](95% CI) = -18.7(-34.8, -2.6) g per 1-SD higher E-DII score; P value = 0.023] and shorter birth length [-0.07(-0.14, -0.01) cm; P value = 0.031], whereas higher pregnancy E-DII score was associated with a shorter birth length [-0.06(-0.10, -0.01) cm; P value = 0.026] and higher risk of SGA [OR(95% CI) = 1.18(1.11, 1.26); P value < 0.001]. In male, but not female, infants higher maternal prepregnancy E-DII was associated with lower birth weight and head circumference, shorter birth length, and higher risk of SGA (P-for-sex-interaction = 0.029, 0.059, 0.104, and 0.075, respectively). No consistent associations were observed for maternal E-DII and DASH scores with gestational age, preterm and postterm birth, or macrosomia and LGA. Limitations of this study were that self-reported dietary data might have increased nondifferential measurement error and that causality cannot be claimed definitely with observational design. Conclusions In this cohort study, we observed that maternal diet that is of low quality and high inflammatory potential is associated with lower offspring birth size and higher risk of offspring being born SGA in this multicenter meta-analysis using harmonized IPD. Improving overall maternal dietary pattern based on predefined criteria may optimize fetal growth and avert substantial healthcare burden associated with adverse birth outcomes., Author(s): Ling-Wei Chen 1,*, Adrien M. Aubert 2, Nitin Shivappa 3,4, Jonathan Y. Bernard 2,5, Sara M. Mensink-Bout 6,7, Aisling A. Geraghty 8, John Mehegan 1, Matthew Suderman 9, Kinga [...]
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- 2021
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16. Ergonomics of E-Learning Workstations and the Prevalence of Musculoskeletal Disorders—Study among University Students
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Janc, Magdalena, primary, Jozwiak, Zbigniew, additional, Jankowska, Agnieszka, additional, Makowiec-Dabrowska, Teresa, additional, Kujawa, Jolanta, additional, and Polanska, Kinga, additional
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- 2023
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17. Maternal occupation during pregnancy, birth weight, and length of gestation: combined analysis of 13 European birth cohorts
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Casas, Maribel, Cordier, Sylvaine, Martínez, David, Barros, Henrique, Bonde, Jens Peter, Burdorf, Alex, Costet, Nathalie, dos Santos, Ana Cristina, Danilevičiūtė, Asta, Eggesbø, Merete, Fernandez, Mariana F, Fevotte, Joelle, García, Ana M, Gražulevičienė, Regina, Hallner, Eva, Hanke, Wojciech, Kogevinas, Manolis, Kull, Inger, Larsen, Pernille Stemann, Melaki, Vasiliki, Monfort, Christine, Nordby, Karl-Christian, Andersen, Anne-Marie Nybo, Patelarou, Evridiki, Polanska, Kinga, Richiardi, Lorenzo, Marina, Loreto Santa, Snijder, Claudia, Tardón, Adonina, van Eijsden, Manon, Vrijkotte, Tanja GM, Zugna, Daniela, Nieuwenhuijsen, Mark, and Vrijheid, Martine
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- 2015
18. Trihalomethanes in Drinking Water and Bladder Cancer Burden in the European Union
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Evlampidou, Iro, Font-Ribera, Laia, Rojas-Rueda, David, Gracia-Lavedan, Esther, Coste, Nathalie, Pearce, Neil, Vineis, Paolo, Jaakkola, Jouni J.K., Delloye, Francis, Makris, Konstantinos C., Stephanou, Euripides G., Kargaki, Sophia, Kozisek, Frantisek, Sigsgaard, Torben, Hansen, Birgitte, Schullehner, Jorg, Nahkur, Ramon, Galey, Catherine, Zwiener, Christian, Vargha, Marta, Righi, Elena, Aggazzotti, Gabriella, Kalnina, Gunda, Grazuleviciene, Regina, Polanska, Kinga, Gubkova, Dasa, Bitenc, Katarina, Goslan, Emma H., Kogevinas, Manolis, and Villanueva, Cristina M.
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United States. Environmental Protection Agency -- Officials and employees ,Bladder cancer ,Cancer research ,Trihalomethanes ,Drinking water ,Infection control ,Water ,Medical research ,Diseases ,Environmental issues ,Health ,European Union -- Officials and employees ,European Union. European Council -- Officials and employees ,World Health Organization -- Officials and employees - Abstract
Background: Trihalomethanes (THMs) are widespread disinfection by-products (DBPs) in drinking water, and long-term exposure has been consistently associated with increased bladder cancer risk. OBJECTIVE: We assessed THM levels in drinking water in the European Union as a marker of DBP exposure and estimated the attributable burden of bladder cancer. METHODS: We collected recent annual mean THM levels in municipal drinking water in 28 European countries (EU28) from routine monitoring records. We estimated a linear exposure-response function for average residential THM levels and bladder cancer by pooling data from studies included in the largest international pooled analysis published to date in order to estimate odds ratios (ORs) for bladder cancer associated with the mean THM level in each country (relative to no exposure), population-attributable fraction (PAF), and number of attributable bladder cancer cases in different scenarios using incidence rates and population from the Global Burden of Disease study of 2016. Results: We obtained 2005-2018 THM data from EU26, covering 75% of the population. Data coverage and accuracy were heterogeneous among countries. The estimated population-weighted mean THM level was 11.7 [micro]g/L [standard deviation (SD) of 11.2]. The estimated bladder cancer PAF was 4.9% [95% confidence interval (CI): 2.5, 7.1] overall (range: 0-23%), accounting for 6,561 (95% CI: 3,389, 9,537) bladder cancer cases per year. Denmark and the Netherlands had the lowest PAF (0.0% each), while Cyprus (23.2%), Malta (17.9%), and Ireland (17.2%) had the highest among EU26. In the scenario where no country would exceed the current EU mean, 2,868 (95% CI: 1,522, 4,060; 43%) annual attributable bladder cancer cases could potentially be avoided. Discussion: Efforts have been made to reduce THM levels in the European Union. However, assuming a causal association, current levels in certain countries still could lead to a considerable burden of bladder cancer that could potentially be avoided by optimizing water treatment, disinfection, and distribution practices, among other possible measures. https://doi.org/10.1289/EHP4495, Introduction Drinking water disinfection is essential for public health protection against waterborne infections. However, disinfection byproducts (DBPs) are formed as an unintended consequence of water disinfection. DBPs form a complex [...]
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- 2020
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19. Early-life respiratory tract infections and the risk of school-age lower lung function and asthma
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van Meel, Evelien R, Mensink-Bout, Sara M, den Dekker, Herman T, Ahluwalia, Tarunveer S, Annesi-Maesano, Isabella, Arshad, Syed Hasan, Baïz, Nour, Barros, Henrique, von Berg, Andrea, Bisgaard, Hans, Bønnelykke, Klaus, Carlsson, Christian J, Casas, Maribel, Chatzi, Leda, Chevrier, Cecile, Dalmeijer, Geertje, Dezateux, Carol, Duchen, Karel, Eggesbø, Merete, van der Ent, Cornelis, Fantini, Maria, Flexeder, Claudia, Frey, Urs, Forastiere, Fransesco, Gehring, Ulrike, Gori, Davide, Granell, Raquel, Griffiths, Lucy J, Inskip, Hazel, Jerzynska, Joanna, Karvonen, Anne M, Keil, Thomas, Kelleher, Cecily, Kogevinas, Manolis, Koppen, Gudrun, Kuehni, Claudia E, Lambrechts, Nathalie, Lau, Susanne, Lehmann, Irina, Ludvigsson, Johnny, Magnus, Maria Christine, Mélen, Erik, Mehegan, John, Mommers, Monique, Nybo Andersen, Anne-Marie, Nystad, Wenche, Pedersen, Eva S L, Pekkanen, Juha, Peltola, Ville, Pike, Katharine C, Pinot de Moira, Angela, Pizzi, Costanza, Polanska, Kinga, Popovic, Maja, Porta, Daniela, Roberts, Graham, Santos, Ana Cristina, Schultz, Erica S, Standl, Marie, Sunyer, Jordi, Thijs, Carel, Toivonen, Laura, Uphoff, Eleonora, Usemann, Jakob, Vafeidi, Marina, Wright, John, de Jongste, Johan C, Jaddoe, Vincent W V, Duijts, Liesbeth, IRAS OH Epidemiology Chemical Agents, Salvy-Córdoba, Nathalie, The Generation R Study Group, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Herlev and Gentofte Hospital, Institut Desbrest de santé publique (IDESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Epidemiology of Allergic and Respiratory Diseases Department [iPlesp] (EPAR), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), St Mary's Hospital [London], University Hospital Southampton NHS Foundation Trust, Departamento de Ciências da Saúde Pública e Forenses e Educação Médica [Porto, Portugal], Faculdade de Medicina da Universidade do Porto (FMUP), Universidade do Porto = University of Porto-Universidade do Porto = University of Porto, ISPUP-EPIUnit, University of Porto Medical School and Institute of Public Health, Marien-Hospital Wesel gGmbH, Instituto de Salud Global - Institute For Global Health [Barcelona] (ISGlobal), Universitat Pompeu Fabra [Barcelona] (UPF), CIBER de Epidemiología y Salud Pública (CIBERESP), University of Southern California (USC), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Julius Center for Health Sciences and Primary Care, University Medical Center [Utrecht], Barts & The London School of Medicine and Dentistry, Linköping university hospital, Norwegian Institute of Public Health [Oslo] (NIPH), Alma Mater Studiorum University of Bologna (UNIBO), Helmholtz Zentrum München = German Research Center for Environmental Health, University Children’s Hospital Basel = Hôpital pédiatrique universitaire des deux Bâle [Bâle, Suisse] (UKBB), Lazio Regional Health Service [Rome], Institute for Risk Assessment Sciences [Utrecht, The Netherlands] (IRAS), Utrecht University [Utrecht], MRC Integrative Epidemiology Unit [Bristol, Royaume-Uni] (MRC IEU), University of Bristol [Bristol], Swansea University Medical School [Swansea, Royaume-Uni], Swansea University, University of Southampton, Nofer Institute of Occupational Medicine (NIOM), Finnish Institute for Health and Welfare [Helsinki, Finland] (FIHW), Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], University of Würzburg = Universität Würzburg, Bavarian Health and Food Safety Authority, School of Public Health, Physiotherapy and Sports Science [Dublin, Irlande], University College Dublin [Dublin] (UCD), National School of Public Health [Athens], IMIM-Hospital del Mar, Generalitat de Catalunya, Flemish Institute for Technological Research (VITO), Institute of Social and Preventive Medicine [Bern] (ISPM), Universität Bern [Bern] (UNIBE), Bern University Hospital [Berne] (Inselspital), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Sach's Children's Hospital [Stockholm], Maastricht University Medical Centre (MUMC), Maastricht University [Maastricht], University of Copenhagen = Københavns Universitet (UCPH), TKK Helsinki University of Technology (TKK), Turku University Hospital (TYKS), Bristol Royal Hospital for Children, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Department of Medical Sciences [Turin, Italy] (DMS), Università degli studi di Torino = University of Turin (UNITO), The David Hide Asthma and Allergy Research Centre, St Mary's Hospital-University Hospital Southampton NHS Foundation Trust, Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, German Research Center for Environmental Health - Helmholtz Center München (GmbH), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK, University of Crete [Heraklion] (UOC), Epidemiologie, RS: CAPHRI - R5 - Optimising Patient Care, Pediatrics, Epidemiology, IRAS OH Epidemiology Chemical Agents, and Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK (BIHR)
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Pulmonary and Respiratory Medicine ,[SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics ,Vital Capacity ,Infant ,610 Medicine & health ,ALSPAC ,[SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract ,Asthma ,[SDV.MHEP.PED] Life Sciences [q-bio]/Human health and pathology/Pediatrics ,360 Social problems & social services ,Child, Preschool ,Forced Expiratory Volume ,[SDV.MHEP.PSR] Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract ,Humans ,Prospective Studies ,Child ,Preschool ,Lung ,Respiratory Tract Infections - Abstract
Background: Early-life respiratory tract infections might affect chronic obstructive respiratory diseases, but conclusive studies from general populations are lacking. Our objective was to examine if children with early-life respiratory tract infections had increased risks of lower lung function and asthma at school age. Methods: We used individual participant data of 150 090 children primarily from the EU Child Cohort Network to examine the associations of upper and lower respiratory tract infections from age 6 months to 5 years with forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), FEV1/FVC, forced expiratory flow at 75% of FVC (FEF75%) and asthma at a median (range) age of 7 (4-15) years. Results: Children with early-life lower, not upper, respiratory tract infections had a lower school-age FEV1, FEV1/FVC and FEF75% (z-score range: -0.09 (95% CI -0.14- -0.04) to -0.30 (95% CI -0.36- -0.24)). Children with early-life lower respiratory tract infections had a higher increased risk of school-age asthma than those with upper respiratory tract infections (OR range: 2.10 (95% CI 1.98-2.22) to 6.30 (95% CI 5.64-7.04) and 1.25 (95% CI 1.18-1.32) to 1.55 (95% CI 1.47-1.65), respectively). Adjustment for preceding respiratory tract infections slightly decreased the strength of the effects. Observed associations were similar for those with and without early-life wheezing as a proxy for early-life asthma. Conclusions: Our findings suggest that early-life respiratory tract infections affect development of chronic obstructive respiratory diseases in later life, with the strongest effects for lower respiratory tract infections. A comprehensive list of grant funding is available on the ALSPAC website (www.bristol.ac.uk/alspac/external/documents/grant-acknowledgements.pdf). BAMSE: BAMSE was funded by the Swedish Research Council, the Swedish Heart Lung Foundation, ALF Region Stockholm and SFO Epidemiology Karolinska Institutet. E. Mélen is supported by a European Research Council grant (TRIBAL, 757919). BiB (Born in Bradford): BiB is only possible because of the enthusiasm and commitment of the children and parents in BiB. We are grateful to all the participants, practitioners and researchers who have made BiB happen. The BiB study presents independent research commissioned by the National Institute for Health Research Collaboration for Applied Health Research and Care (NIHR CLAHRC) and the Programme Grants for Applied Research funding scheme (RP-PG-0407-10044). Core support for BiB is also provided by the Wellcome Trust (WT101597MA). BILD: This study was funded by the Swiss National Science Foundation (320030_163311). CoNER: Funds were obtained from the special programme (Programmi speciali – Art.12 bis, comma 6 D.lgs.229/99 Sanitaria e della Vigilanza sugli Enti) funded by the Italian Ministry of Health. Approval for the study was obtained from the Ethics Committee of the S. Orsola-Malpighi Teaching Hospital in April 2004 (52/2004/U/Tess). COPSAC 2000 and COPSAC 2010: All funding received by COPSAC is listed on www.copsac.com. The Lundbeck Foundation (R16-A1694), Ministry of Health (903516), Danish Council for Strategic Research (0603-00280B) and Capital Region Research Foundation have provided core support to the COPSAC research centre. We express our deepest gratitude to the children and families of the COPSAC 2000 and COPSAC 2010 cohort studies for all their support and commitment. We acknowledge and appreciate the unique efforts of the COPSAC research team. DNBC (Danish National Birth Cohort): The authors would like to thank the participants, the first Principal Investigator of DNBC, Jørn Olsen, the scientific managerial team and DNBC secretariat for being, establishing, developing and consolidating the DNBC. The DNBC was established with a significant grant from the Danish National Research Foundation. Additional support was obtained from the Danish Regional Committees, Pharmacy Foundation, Egmont Foundation, March of Dimes Birth Defects Foundation, Health Foundation and other minor grants. The DNBC Biobank has been supported by the Novo Nordisk Foundation and Lundbeck Foundation. Follow-up of mothers and children has been supported by the Danish Medical Research Council (SSVF 0646, 271-08-0839/06-066023, O602-01042B, 0602-02738B), Lundbeck Foundation (195/04, R100-A9193), Innovation Fund Denmark 0603-00294B (09-067124), Nordea Foundation (02-2013-2014), Aarhus Ideas (AU R9-A959-13-S804), University of Copenhagen Strategic Grant (IFSV 2012) and Danish Council for Independent Research (DFF-4183-00594, DFF-4183-00152). A. Pinot de Moira is funded by a Lundbeck Foundation grant (R264-2017-3099). EDEN: We thank the EDEN mother–child cohort study group (I. Annesi-Maesano, J.Y. Bernard, J. Botton, M.A. Charles, P. Dargent-Molina, B. de Lauzon-Guillain, P. Ducimetière, M. de Agostini, B. Foliguet, A. Forhan, X. Fritel, A. Germa, V. Goua, R. Hankard, B. Heude, M. Kaminski, B. Larroque†, N. Lelong, J. Lepeule, G. Magnin, L. Marchand, C. Nabet, F. Pierre, R. Slama, M.J. Saurel-Cubizolles, M. Schweitzer and O. Thiebaugeorges). We thank all funding sources for the EDEN study (not allocated for the present study but for the cohort): Foundation for Medical Research (FRM), National Agency for Research (ANR), National Institute for Research in Public health (IRESP: TGIR cohorte santé 2008 programme), French Ministry of Health (DGS), French Ministry of Research, INSERM Bone and Joint Diseases National Research (PRO-A) and Human Nutrition National Research Programs, Paris-Sud University, Nestlé, French National Institute for Population Health Surveillance (InVS), French National Institute for Health Education (INPES), the European Union FP7 programmes (FP7/2007-2013, HELIX, ESCAPE, ENRIECO, MeDALL projects), Diabetes National Research Program (in collaboration with the French Association of Diabetic Patients (AFD)), French Agency for Environmental Health Safety (now ANSES), Mutuelle Générale de l'Education Nationale complementary health insurance (MGEN), French national agency for food security, and French speaking association for the study of diabetes and metabolism (ALFEDIAM). The funding source had no involvement in the conception of the present study. FLEHS: This study was conducted within the framework of the Flemish Centre of Expertise on Environment and Health, funded by the Dept of the Environment of the Flemish Government, Flemish Agency of Care and Health, and Flemish Dept of Economy, Science and Innovation. GASPII: The GASPII cohort was funded by the Italian Ministry of Health (2001), the research leading to these results has received funding from the European Community's Seventh Framework Program under grant agreement 261357 (MeDALL). Generation R: This study was funded by Erasmus MC Rotterdam, Erasmus University Rotterdam and the Netherlands Organisation for Health Research and Development. V.W.V. Jaddoe received a grant from the European Research Council (ERC-2014-CoG-648916). L. Duijts received funding from cofunded ERA-Net on Biomarkers for Nutrition and Health (ERA HDHL), Horizon 2020 (696295; 2017), the Netherlands Organisation for Health Research and Development (ZonMw; 529051014; 2017), Science Foundation Ireland (SFI/16/ERA-HDHL/3360), and European Union (ALPHABET project). The project received funding from the European Union's Horizon 2020 research and innovation programme (LIFECYCLE, 733206, 2016; EUCAN-Connect 824989; ATHLETE, 874583). The researchers are independent from the funders. The study sponsors had no role in the study design, data analysis, interpretation of data or writing of this report. Generation XXI: Generation XXI was supported by the European Regional Development Fund (ERDF) through the Operational Programme Competitiveness and Internationalization and national funding from the Foundation for Science and Technology (FCT), Portuguese Ministry of Science, Technology and Higher Education, and by the Unidade de Investigação em Epidemiologia – Instituto de Saúde Pública da Universidade do Porto (EPIUnit) (UIDB/04750/2020), Administração Regional de Saúde Norte (Regional Dept of Ministry of Health) and Fundação Calouste Gulbenkian. A.C. Santos is founded by FCT Investigator contracts IF/01060/2015. GINI: The GINIplus study was mainly supported for the first 3 years by the Federal Ministry for Education, Science, Research and Technology (interventional arm) and Helmholtz Zentrum München (former GSF) (observational arm). The 4- and 6-year follow-up examinations of the GINIplus study were covered from the respective budgets of the five study centres (Helmholtz Zentrum München (former GSF), Research Institute at Marien-Hospital, Wesel, LMU Munich, TU Munich and from 6 years onwards also from IUF – Leibniz Research Institute for Environmental Medicine at the University of Düsseldorf). HUMIS: We thank all mothers for participating in the HUMIS study. HUMIS was funded by a grant from the Norwegian Research Council (226402). The HUMIS study was approved by the Norwegian Data Inspectorate (2002/1398) and by the Regional Ethics Committee for Medical Research in Norway (S-02122), and the specific use in the current study was approved by the Ethics Committee as well (2010/1259/REK sør-øst). INMA: Gipuzkoa: This study was funded by grants from Instituto de Salud Carlos III (FIS-PI09/00090, FIS-PI18/01142 including FEDER funds), CIBERESP, Dept of Health of the Basque Government (2013111089) and annual agreements with the municipalities of the study area (Zumarraga, Urretxu, Legazpi, Azkoitia y Azpeitia and Beasain). Menorca: This study was funded by grants from Instituto de Salud Carlos III (Red INMA G03/176; CB06/02/0041; 97/0588; 00/0021-2, PI061756; PS0901958, PI14/00677 including FEDER funds), CIBERESP, Beca de la IV convocatoria de Ayudas a la Investigación en Enfemerdades Neurodegeneratives de La Caixa, and EC contract QLK4-CT-200-00263. Sabadell: This study was funded by grants from Instituto de Salud Carlos III (Red INMA G03/176; CB06/02/0041; PI041436; PI081151 including FEDER funds), Generalitat de Catalunya-CIRIT 1999SGR 00241 and Fundació La marató de TV3 (090430). ISGlobal is a member of the CERCA Programme, Generalitat de Catalunya. M. Casas holds a Miguel Servet fellowship (CP16/00128) funded by Instituto de Salud Carlos III and cofunded by the European Social Fund “Investing in your future”. Valencia: This study was funded by grants from the European Union (FP7-ENV-2011 cod 282957 and HEALTH.2010.2.4.5-1), Spain: Instituto de Salud Carlos III (Red INMA G03/176, CB06/02/0041; FIS-FEDER: PI03/1615, PI04/1509, PI04/1112, PI04/1931, PI05/1079, PI05/1052, PI06/1213, PI07/0314, PI09/02647, PI11/01007, PI11/02591, PI11/02038, PI13/1944, PI13/2032, PI14/00891, PI14/01687, PI16/1288, PI17/00663; Miguel Servet-FEDER CP11/00178, CP15/00025, CPII16/00051), Generalitat Valenciana: FISABIO (UGP 15-230, UGP-15-244, UGP-15-249), and Alicia Koplowitz Foundation 2017. Isle of Wight: This study was funded by grants from the National Institutes of Health USA (R01HL082925), Asthma UK (364), Isle of Wight NHS Trust and the British Medical Association. KOALA: The collection of data relevant for this study was funded by grants from the Netherlands Organisation for Health Research and Development (ZonMw; 2100.0090) and the Netherlands Asthma Foundation (3.2.03.48, 3.2.07.022). The researchers are independent from the funders. The funders had no role in the study design, data analysis, interpretation of data or writing of this report. We thank the children and parents for their participation in the KOALA study. LRC (Leicestershire Respiratory Cohorts): This study was funded by grants from the Swiss National Science Foundation (SNF: 320030-182628, 320030-162820, 3233-069348, 3200-069349) and Asthma UK 07/048. Lifeways Cross-Generation Cohort Study: This study was funded by the Health Research Board, Ireland, and the Irish Dept of Health and Children's Health Promotion Policy Unit. LISA: The LISA study was mainly supported by grants from the Federal Ministry for Education, Science, Research and Technology and in addition from Helmholtz Zentrum München (former GSF), Helmholtz Centre for Environmental Research – UFZ, Leipzig, Research Institute at Marien-Hospital Bad Honnef for the first 2 years. The 4-, 6-, 10- and 15-year follow-up examinations of the LISA study were covered from the respective budgets of the involved partners (Helmholtz Zentrum München (former GSF), Helmholtz Centre for Environmental Research – UFZ, Leipzig, Research Institute at Marien-Hospital Wesel, Pediatric Practice, Bad Honnef, IUF – Leibniz Research Institute for Environmental Medicine at the University of Düsseldorf) and in addition by a grant from the Federal Ministry for Environment (IUF Düsseldorf, FKZ 20462296). Further, the 15-year follow-up examination of the LISA study was supported by the Commission of the European Communities, the Seventh Framework Program: MeDALL project. This project has received funding from the European Research Council under the European Union’s Horizon 2020 research and innovation programme (949906). LucKi: LucKi is supported by Child and Youth Health Care Zuyderland, Public Health Service South Limburg and Maastricht University. We thank all parents and children for their participation in LucKi. LUKAS: This study was funded by research grants from the Academy of Finland (139021, 287675, 296814, 296817, 308254); Juho Vainio Foundation; EVO/VTR funding; Päivikki and Sakari Sohlberg Foundation; Farmers’ Social Insurance Institution (Mela); Finnish Cultural Foundation; Foundation for Pediatric Research; European Union QLK4-CT-2001-00250; and Finnish Institute for Health and Welfare, Finland. MAS-90: This study was funded by grants from the German Federal Ministry of Education and Research (MBMF; 07015633m 07ALE27, 01EE9405/5, 01EE9406) and the German Research Foundation (DFG; KE1462/2-1). Millennium Cohort Study: This study was funded by the Economic and Social Research Council and a consortium of UK government funders. We are grateful to the participating families and the Centre for Longitudinal Studies (CLS), UCL Institute of Education, for the use of these data and to the UK Data Service for making them available. However, neither CLS nor the UK Data Service bear any responsibility for the analysis or interpretation of these data. This work was supported by the Welcome Trust (187389/B/08/Z). MoBa: The Norwegian Mother, Father and Child Cohort Study is supported by the Norwegian Ministry of Health and Care Services and Ministry of Education and Research. We are grateful to all the participating families in Norway who take part in this ongoing cohort study. This research was supported by the Research Council of Norway through its Centres of Excellence funding scheme (262700). NINFEA: The authors are grateful to all the participants of the NINFEA cohort. The NINFEA study was partially funded by the Compagnia San Paolo Foundation. This research was partially funded by the European Union's Horizon 2020 research and innovation programme (LIFECYCLE, 733206). PELAGIE: We are grateful to the families who participated and continue to participate in the study. The cohort is supported by INSERM and received funding from the French National Research Agency, Fondation de France, French Agency for Food, Environmental and Occupational Health & Safety, National Institute for Public Health Surveillance (InVS), French Ministry of Labour, and French Ministry of Ecology. PIAMA: This study was funded by the Netherlands Organisation of Health Research and Development, Netherlands Organisation for Scientific Research, Netherlands Asthma Fund, Netherlands Ministry of Spatial Planning, Housing and the Environment, and Netherlands Ministry of Health, Welfare and Sport. REPRO_PL: This study was funded by the National Science Center Poland (DEC-2014/15/B/N27/00998). Rhea: This study was funded by the European Union Social Fund and the Hellenic Ministry of Health (“Program of prevention and early diagnosis of obesity and neurodevelopment disorders in preschool age children in the prefecture of Heraklion, Crete, Greece”; MIS 349580, NSRF 2007–2013). Additional funding from the National Institute of Environmental Health Sciences (NIEHS) supported L. Chatzi (R01ES030691, R01ES029944, R01ES030364, R21ES029681, R21ES028903, P30ES007048). STEPS: This study was funded by the University of Turku, Abo Akademi University, Turku University Hospital, Academy of Finland (123571, 140251, 277535) and Foundation for Pediatric Research Finland. SWS: This study was funded by the Medical Research Council, British Heart Foundation, Arthritis Research UK, Food Standards Agency, NIHR Southampton Biomedical Research Centre and the European Union's Seventh Framework Programme (FP7/2007–2013), project EarlyNutrition (289346), and the European Union's Horizon 2020 research and innovation programme (LIFECYCLE, 733206). WHISTLER: The WHISTLER birth cohort was supported with a grant from the Netherlands Organisation for Health Research and Development (2001-1-1322) and by an unrestricted grant from GlaxoSmithKline Netherlands. GlaxoSmithKline had no role in study design, in the collection, analysis and interpretation of data, in the writing of the report, and in the decision to submit the report for publication. WHISTLER-Cardio was supported with an unrestricted strategic grant from the University Medical Center Utrecht (UMCU).
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20. Application of a hierarchical Bayesian model for air pollution prediction in Poland and its association with neurodevelopmental outcomes in children
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Garí, Mercè, primary, Saez, Marc, additional, Jankowska, Agnieszka, additional, Hanke, Wojciech, additional, Barceló, Maria A., additional, Polanska, Kinga, additional, and Tobias, Aurelio, additional
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- 2022
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21. Associations between Gestational Exposure to Air Pollution and Maternal Vitamin D Levels
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Ghassabian, Akhgar, primary, Binter, Anne-Claire, additional, El Marroun, Hanan, additional, Polanska, Kinga, additional, Switkowski, Karen, additional, Vrijkotte, Tanja G., additional, McEachan, Rosie, additional, Fernández Somoano, Ana, additional, Estarlich, Marisa, additional, Lertxundi, Aitana, additional, Sunyer, Jordi, additional, and Guxens, Mònica, additional
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- 2022
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22. Exposure to phthalates, non-phthalate plasticizers and bisphenols and neurodevelopmental outcomes in school age children from Poland
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Polanska, Kinga, primary, Jankowska, Agnieszka, additional, Koch, Holger, additional, Bury, Daniel, additional, Pälmke, Claudia, additional, Moos, Rebecca, additional, Hanke, Wojciech, additional, and Garí, Mercè, additional
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- 2022
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23. Urban labs – The personalized building block of exposome research
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Jeong, Ayoung, primary, Katsouyanni, Klea, additional, Samoli, Evangelia, additional, Polanska, Kinga, additional, Vermeulen, Roel, additional, Vlaanderen, Jelle, additional, Huss, Anke, additional, Tonne, Cathryn, additional, and Probst-Hensch, Nicole, additional
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- 2022
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24. Predictors of maternal dietary quality and dietary inflammation during pregnancy: An individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium
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Aubert, Adrien M., primary, Chen, Ling-Wei, additional, Shivappa, Nitin, additional, Cooper, Cyrus, additional, Crozier, Sarah R., additional, Duijts, Liesbeth, additional, Forhan, Anne, additional, Hanke, Wojciech, additional, Harvey, Nicholas C., additional, Jankowska, Agnieszka, additional, Kelleher, Cecily C., additional, de Lauzon-Guillain, Blandine, additional, McAuliffe, Fionnuala M., additional, Mensink-Bout, Sara M., additional, Polanska, Kinga, additional, Relton, Caroline L., additional, Suderman, Matthew, additional, Hebert, James R., additional, Phillips, Catherine M., additional, Bernard, Jonathan Y., additional, and Heude, Barbara, additional
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- 2022
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25. Preterm birth, infant weight gain, and childhood asthma risk: A meta-analysis of 147,000 European children
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Sonnenschein-van der Voort, Agnes M.M., Arends, Lidia R., de Jongste, Johan C., Annesi-Maesano, Isabella, Arshad, S. Hasan, Barros, Henrique, Basterrechea, Mikel, Bisgaard, Hans, Chatzi, Leda, Corpeleijn, Eva, Correia, Sofia, Craig, Leone C., Devereux, Graham, Dogaru, Cristian, Dostal, Miroslav, Duchen, Karel, Eggesbø, Merete, van der Ent, C. Kors, Fantini, Maria P., Forastiere, Francesco, Frey, Urs, Gehring, Ulrike, Gori, Davide, van der Gugten, Anne C., Hanke, Wojciech, Henderson, A. John, Heude, Barbara, Iñiguez, Carmen, Inskip, Hazel M., Keil, Thomas, Kelleher, Cecily C., Kogevinas, Manolis, Kreiner-Møller, Eskil, Kuehni, Claudia E., Küpers, Leanne K., Lancz, Kinga, Larsen, Pernille S., Lau, Susanne, Ludvigsson, Johnny, Mommers, Monique, Nybo Andersen, Anne-Marie, Palkovicova, Lubica, Pike, Katharine C., Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Roberts, Graham, Schmidt, Anne, Sram, Radim J., Sunyer, Jordi, Thijs, Carel, Torrent, Maties, Viljoen, Karien, Wijga, Alet H., Vrijheid, Martine, Jaddoe, Vincent W.V., and Duijts, Liesbeth
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- 2014
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26. Fish intake during pregnancy, fetal growth, and gestational length in 19 European birth cohort studies
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Leventakou, Vasiliki, Roumeliotaki, Theano, Martinez, David, Barros, Henrique, Brantsaeter, Anne-Lise, Casas, Maribel, Charles, Marie-Aline, Cordier, Sylvaine, Eggesbø, Merete, van Eijsden, Manon, Forastiere, Francesco, Gehring, Ulrike, Govarts, Eva, Halldórsson, Thorhallur I, Hanke, Wojciech, Haugen, Margaretha, Heppe, Denise HM, Heude, Barbara, Inskip, Hazel M, Jaddoe, Vincent WV, Jansen, Maria, Kelleher, Cecily, Meltzer, Helle Margrete, Merletti, Franco, Moltó-Puigmartí, Carolina, Mommers, Monique, Murcia, Mario, Oliveira, Andreia, Olsen, Sjúrður F, Pele, Fabienne, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Robinson, Siân M, Stigum, Hein, Strøm, Marin, Sunyer, Jordi, Thijs, Carel, Viljoen, Karien, Vrijkotte, Tanja GM, Wijga, Alet H, Kogevinas, Manolis, Vrijheid, Martine, and Chatzi, Leda
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- 2014
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27. Measures of Early-Iife Behavior and Later Psychopathology in the LifeCycIe Project - EU Child Cohort Network: A Cohort Description.
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Nader, Johanna L., López-Vicente, Mònica, Julvez, Jordi, Guxens, Monica, Cadman, Tim, Elhakeem, Ahmed, Järvelin, Marjo-Riitta, Rautio, Nina, Miettunen, Jouko, El Marroun, Hanan, Melchior, Maria, Heude, Barbara, Charles, Marie-Aline, Yang, Tiffany C., McEachan, Rosemary R. C., Wright, John, Polanska, Kinga, Carson, Jennie, Lin, Ashleigh, and Rauschert, Sebastian
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- 2023
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28. Early-life respiratory tract infections and the risk of school-age lower lung function and asthma: A meta-analysis of 150 000 European children
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van Meel, Evelien R, Mensink-Bout, Sara M, den Dekker, Herman T, Ahluwalia, Tarunveer S, Annesi-Maesano, Isabella, Arshad, Syed Hasan, Baïz, Nour, Barros, Henrique, von Berg, Andrea, Bisgaard, Hans, Bønnelykke, Klaus, Carlsson, Christian J, Casas, Maribel, Chatzi, Leda, Chevrier, Cecile, Dalmeijer, Geertje, Dezateux, Carol, Duchen, Karel, Eggesbø, Merete, van der Ent, Cornelis, Fantini, Maria, Flexeder, Claudia, Frey, Urs, Forastiere, Fransesco, Gehring, Ulrike, Gori, Davide, Granell, Raquel, Griffiths, Lucy J, Inskip, Hazel, Jerzynska, Joanna, Karvonen, Anne M, Keil, Thomas, Kelleher, Cecily, Kogevinas, Manolis, Koppen, Gudrun, Kuehni, Claudia E, Lambrechts, Nathalie, Lau, Susanne, Lehmann, Irina, Ludvigsson, Johnny, Magnus, Maria Christine, Mélen, Erik, Mehegan, John, Mommers, Monique, Nybo Andersen, Anne-Marie, Nystad, Wenche, Pedersen, Eva S L, Pekkanen, Juha, Peltola, Ville, Pike, Katharine C, Pinot de Moira, Angela, Pizzi, Costanza, Polanska, Kinga, Popovic, Maja, Porta, Daniela, Roberts, Graham, Santos, Ana Cristina, Schultz, Erica S, Standl, Marie, Sunyer, Jordi, Thijs, Carel, Toivonen, Laura, Uphoff, Eleonora, Usemann, Jakob, Vafeidi, Marina, Wright, John, de Jongste, Johan C, Jaddoe, Vincent W V, Duijts, Liesbeth, van Meel, Evelien R, Mensink-Bout, Sara M, den Dekker, Herman T, Ahluwalia, Tarunveer S, Annesi-Maesano, Isabella, Arshad, Syed Hasan, Baïz, Nour, Barros, Henrique, von Berg, Andrea, Bisgaard, Hans, Bønnelykke, Klaus, Carlsson, Christian J, Casas, Maribel, Chatzi, Leda, Chevrier, Cecile, Dalmeijer, Geertje, Dezateux, Carol, Duchen, Karel, Eggesbø, Merete, van der Ent, Cornelis, Fantini, Maria, Flexeder, Claudia, Frey, Urs, Forastiere, Fransesco, Gehring, Ulrike, Gori, Davide, Granell, Raquel, Griffiths, Lucy J, Inskip, Hazel, Jerzynska, Joanna, Karvonen, Anne M, Keil, Thomas, Kelleher, Cecily, Kogevinas, Manolis, Koppen, Gudrun, Kuehni, Claudia E, Lambrechts, Nathalie, Lau, Susanne, Lehmann, Irina, Ludvigsson, Johnny, Magnus, Maria Christine, Mélen, Erik, Mehegan, John, Mommers, Monique, Nybo Andersen, Anne-Marie, Nystad, Wenche, Pedersen, Eva S L, Pekkanen, Juha, Peltola, Ville, Pike, Katharine C, Pinot de Moira, Angela, Pizzi, Costanza, Polanska, Kinga, Popovic, Maja, Porta, Daniela, Roberts, Graham, Santos, Ana Cristina, Schultz, Erica S, Standl, Marie, Sunyer, Jordi, Thijs, Carel, Toivonen, Laura, Uphoff, Eleonora, Usemann, Jakob, Vafeidi, Marina, Wright, John, de Jongste, Johan C, Jaddoe, Vincent W V, and Duijts, Liesbeth
- Abstract
BACKGROUND: Early-life respiratory tract infections might affect chronic obstructive respiratory diseases, but conclusive studies from general populations are lacking. Our objective was to examine if children with early-life respiratory tract infections had increased risks of lower lung function and asthma at school age.METHODS: We used individual participant data of 150 090 children primarily from the EU Child Cohort Network to examine the associations of upper and lower respiratory tract infections from age 6 months to 5 years with forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), FEV1/FVC, forced expiratory flow at 75% of FVC (FEF75%) and asthma at a median (range) age of 7 (4-15) years.RESULTS: Children with early-life lower, not upper, respiratory tract infections had a lower school-age FEV1, FEV1/FVC and FEF75% (z-score range: -0.09 (95% CI -0.14- -0.04) to -0.30 (95% CI -0.36- -0.24)). Children with early-life lower respiratory tract infections had a higher increased risk of school-age asthma than those with upper respiratory tract infections (OR range: 2.10 (95% CI 1.98-2.22) to 6.30 (95% CI 5.64-7.04) and 1.25 (95% CI 1.18-1.32) to 1.55 (95% CI 1.47-1.65), respectively). Adjustment for preceding respiratory tract infections slightly decreased the strength of the effects. Observed associations were similar for those with and without early-life wheezing as a proxy for early-life asthma.CONCLUSIONS: Our findings suggest that early-life respiratory tract infections affect development of chronic obstructive respiratory diseases in later life, with the strongest effects for lower respiratory tract infections.
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29. Early-life respiratory tract infections and the risk of school-age lower lung function and asthma: A meta-analysis of 150 000 European children
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IRAS OH Epidemiology Chemical Agents, van Meel, Evelien R, Mensink-Bout, Sara M, den Dekker, Herman T, Ahluwalia, Tarunveer S, Annesi-Maesano, Isabella, Arshad, Syed Hasan, Baïz, Nour, Barros, Henrique, von Berg, Andrea, Bisgaard, Hans, Bønnelykke, Klaus, Carlsson, Christian J, Casas, Maribel, Chatzi, Leda, Chevrier, Cecile, Dalmeijer, Geertje, Dezateux, Carol, Duchen, Karel, Eggesbø, Merete, van der Ent, Cornelis, Fantini, Maria, Flexeder, Claudia, Frey, Urs, Forastiere, Fransesco, Gehring, Ulrike, Gori, Davide, Granell, Raquel, Griffiths, Lucy J, Inskip, Hazel, Jerzynska, Joanna, Karvonen, Anne M, Keil, Thomas, Kelleher, Cecily, Kogevinas, Manolis, Koppen, Gudrun, Kuehni, Claudia E, Lambrechts, Nathalie, Lau, Susanne, Lehmann, Irina, Ludvigsson, Johnny, Magnus, Maria Christine, Mélen, Erik, Mehegan, John, Mommers, Monique, Nybo Andersen, Anne-Marie, Nystad, Wenche, Pedersen, Eva S L, Pekkanen, Juha, Peltola, Ville, Pike, Katharine C, Pinot de Moira, Angela, Pizzi, Costanza, Polanska, Kinga, Popovic, Maja, Porta, Daniela, Roberts, Graham, Santos, Ana Cristina, Schultz, Erica S, Standl, Marie, Sunyer, Jordi, Thijs, Carel, Toivonen, Laura, Uphoff, Eleonora, Usemann, Jakob, Vafeidi, Marina, Wright, John, de Jongste, Johan C, Jaddoe, Vincent W V, Duijts, Liesbeth, IRAS OH Epidemiology Chemical Agents, van Meel, Evelien R, Mensink-Bout, Sara M, den Dekker, Herman T, Ahluwalia, Tarunveer S, Annesi-Maesano, Isabella, Arshad, Syed Hasan, Baïz, Nour, Barros, Henrique, von Berg, Andrea, Bisgaard, Hans, Bønnelykke, Klaus, Carlsson, Christian J, Casas, Maribel, Chatzi, Leda, Chevrier, Cecile, Dalmeijer, Geertje, Dezateux, Carol, Duchen, Karel, Eggesbø, Merete, van der Ent, Cornelis, Fantini, Maria, Flexeder, Claudia, Frey, Urs, Forastiere, Fransesco, Gehring, Ulrike, Gori, Davide, Granell, Raquel, Griffiths, Lucy J, Inskip, Hazel, Jerzynska, Joanna, Karvonen, Anne M, Keil, Thomas, Kelleher, Cecily, Kogevinas, Manolis, Koppen, Gudrun, Kuehni, Claudia E, Lambrechts, Nathalie, Lau, Susanne, Lehmann, Irina, Ludvigsson, Johnny, Magnus, Maria Christine, Mélen, Erik, Mehegan, John, Mommers, Monique, Nybo Andersen, Anne-Marie, Nystad, Wenche, Pedersen, Eva S L, Pekkanen, Juha, Peltola, Ville, Pike, Katharine C, Pinot de Moira, Angela, Pizzi, Costanza, Polanska, Kinga, Popovic, Maja, Porta, Daniela, Roberts, Graham, Santos, Ana Cristina, Schultz, Erica S, Standl, Marie, Sunyer, Jordi, Thijs, Carel, Toivonen, Laura, Uphoff, Eleonora, Usemann, Jakob, Vafeidi, Marina, Wright, John, de Jongste, Johan C, Jaddoe, Vincent W V, and Duijts, Liesbeth
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30. Early-life respiratory tract infections and the risk of school-age lower lung function and asthma: a meta-analysis of 150 000 European children
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van Meel, Evelien R., Mensink-Bout, Sara M., den Dekker, Herman T., Ahluwalia, Tarunveer S., Annesi-Maesano, Isabella, Arshad, Syed Hasan, Baiz, Nour, Barros, Henrique, von Berg, Andrea, Bisgaard, Hans, Bonnelykke, Klaus, Carlsson, Christian J., Casas, Maribel, Chatzi, Leda, Chevrier, Cecile, Dalmeijer, Geertje, Dezateux, Carol, Duchén, Karel, Eggesbo, Merete, van der Ent, Cornelis, Fantini, Maria, Flexeder, Claudia, Frey, Urs, Forastiere, Fransesco, Gehring, Ulrike, Gori, Davide, Granell, Raquel, Griffiths, Lucy J., Inskip, Hazel, Jerzynska, Joanna, Karvonen, Anne M., Keil, Thomas, Kelleher, Cecily, Kogevinas, Manolis, Koppen, Gudrun, Kuehni, Claudia E., Lambrechts, Nathalie, Lau, Susanne, Lehmann, Irina, Ludvigsson, Johnny, Magnus, Maria Christine, Melen, Erik, Mehegan, John, Mommers, Monique, Andersen, Anne-Marie Nybo, Nystad, Wenche, Pedersen, Eva S. L., Pekkanen, Juha, Peltola, Ville, Pike, Katharine C., de Moira, Angela Pinot, Pizzi, Costanza, Polanska, Kinga, Popovic, Maja, Porta, Daniela, Roberts, Graham, Santos, Ana Cristina, Schultz, Erica S., Standl, Marie, Sunyer, Jordi, Thijs, Carel, Toivonen, Laura, Uphoff, Eleonora, Usemann, Jakob, Vafeidi, Marina, Wright, John, de Jongste, Johan C., Jaddoe, Vincent W. V., Duijts, Liesbeth, van Meel, Evelien R., Mensink-Bout, Sara M., den Dekker, Herman T., Ahluwalia, Tarunveer S., Annesi-Maesano, Isabella, Arshad, Syed Hasan, Baiz, Nour, Barros, Henrique, von Berg, Andrea, Bisgaard, Hans, Bonnelykke, Klaus, Carlsson, Christian J., Casas, Maribel, Chatzi, Leda, Chevrier, Cecile, Dalmeijer, Geertje, Dezateux, Carol, Duchén, Karel, Eggesbo, Merete, van der Ent, Cornelis, Fantini, Maria, Flexeder, Claudia, Frey, Urs, Forastiere, Fransesco, Gehring, Ulrike, Gori, Davide, Granell, Raquel, Griffiths, Lucy J., Inskip, Hazel, Jerzynska, Joanna, Karvonen, Anne M., Keil, Thomas, Kelleher, Cecily, Kogevinas, Manolis, Koppen, Gudrun, Kuehni, Claudia E., Lambrechts, Nathalie, Lau, Susanne, Lehmann, Irina, Ludvigsson, Johnny, Magnus, Maria Christine, Melen, Erik, Mehegan, John, Mommers, Monique, Andersen, Anne-Marie Nybo, Nystad, Wenche, Pedersen, Eva S. L., Pekkanen, Juha, Peltola, Ville, Pike, Katharine C., de Moira, Angela Pinot, Pizzi, Costanza, Polanska, Kinga, Popovic, Maja, Porta, Daniela, Roberts, Graham, Santos, Ana Cristina, Schultz, Erica S., Standl, Marie, Sunyer, Jordi, Thijs, Carel, Toivonen, Laura, Uphoff, Eleonora, Usemann, Jakob, Vafeidi, Marina, Wright, John, de Jongste, Johan C., Jaddoe, Vincent W. V., and Duijts, Liesbeth
- Abstract
Background Early-life respiratory tract infections might affect chronic obstructive respiratory diseases, but conclusive studies from general populations are lacking. Our objective was to examine if children with early-life respiratory tract infections had increased risks of lower lung function and asthma at school age. Methods We used individual participant data of 150 090 children primarily from the EU Child Cohort Network to examine the associations of upper and lower respiratory tract infections from age 6 months to 5 years with forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), FEV1/FVC, forced expiratory flow at 75% of FVC (FEF75%) and asthma at a median (range) age of 7 (4-15) years. Results Children with early-life lower, not upper, respiratory tract infections had a lower school-age FEV1, FEV1/FVC and FEF75% (z-score range: -0.09 (95% CI -0.14- -0.04) to -0.30 (95% CI -0.36- -0.24)). Children with early-life lower respiratory tract infections had a higher increased risk of school-age asthma than those with upper respiratory tract infections (OR range: 2.10 (95% CI 1.98-2.22) to 6.30 (95% CI 5.64-7.04) and 1.25 (95% CI 1.18-1.32) to 1.55 (95% CI 1.47-1.65), respectively). Adjustment for preceding respiratory tract infections slightly decreased the strength of the effects. Observed associations were similar for those with and without early-life wheezing as a proxy for early-life asthma. Conclusions Our findings suggest that early-life respiratory tract infections affect development of chronic obstructive respiratory diseases in later life, with the strongest effects for lower respiratory tract infections., Funding Agencies|Swedish Research Council [K2005-72X-11242-11A, K2008-69X-20826-01-4]; Swedish Child Diabetes Foundation (Barndiabetesfonden); JDRF Wallenberg Foundation [K 98-99D-12813-01A]; Medical Research Council of Southeast Sweden (FORSS); Swedish Council for Working Life and Social Research [FAS2004-1775]; Ostgota Brandstodsbolag; UK Medical Research Council; Wellcome [217065/Z/19/Z]; University of Bristol; Swedish Heart Lung Foundation; ALF Region Stockholm; SFO Epidemiology Karolinska Institutet; European Research Council [757919, ERC-2014-CoG-648916]; Programme Grants for Applied Research funding scheme [RP-PG-0407-10044]; Wellcome Trust [WT101597MA]; Swiss National Science Foundation [320030_163311, SNF: 320030-182628, 320030-162820, 3233-069348, 3200-069349]; Italian Ministry of Health; Lundbeck Foundation [R16-A1694, 195/04, R100-A9193, R264-2017-3099]; Ministry of Health [903516]; Danish Council for Strategic Research [0603-00280B]; Capital Region Research Foundation; Danish National Research Foundation; Danish Regional Committees; Egmont Foundation; March of Dimes Birth Defects Foundation; Novo Nordisk Foundation; Danish Medical Research Council [SSVF 0646, 271-08-0839/06-066023, O602-01042B, 0602-02738B]; Innovation Fund Denmark [0603-00294B (09-067124)]; Nordea Foundation [02-2013-2014]; University of Copenhagen; Danish Council for Independent Research [DFF-4183-00594, DFF-4183-00152]; Foundation for Medical Research (FRM); National Institute for Research in Public health; French Ministry of Health (DGS); French Ministry of Research; INSERM Bone and Joint Diseases National Research (PRO-A) and Human Nutrition National Research Programs; French National Institute for Health Education (INPES); European Union [733206]; Diabetes National Research Program; Mutuelle Generale de lEducation Nationale complementary health insurance (MGEN); French national agency for food security; European Community [261357]; Erasmus MC Rotterdam; Erasmus University Rotte
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- 2022
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31. Predictors of maternal dietary quality and dietary inflammation during pregnancy:An individual participant data meta-analysis of seven European cohorts from the ALPHABET consortium
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Aubert, Adrien M., Chen, Ling Wei, Shivappa, Nitin, Cooper, Cyrus, Crozier, Sarah R., Duijts, Liesbeth, Forhan, Anne, Hanke, Wojciech, Harvey, Nicholas C., Jankowska, Agnieszka, Kelleher, Cecily C., de Lauzon-Guillain, Blandine, McAuliffe, Fionnuala M., Mensink-Bout, Sara M., Polanska, Kinga, Relton, Caroline L., Suderman, Matthew, Hebert, James R., Phillips, Catherine M., Bernard, Jonathan Y., Heude, Barbara, Aubert, Adrien M., Chen, Ling Wei, Shivappa, Nitin, Cooper, Cyrus, Crozier, Sarah R., Duijts, Liesbeth, Forhan, Anne, Hanke, Wojciech, Harvey, Nicholas C., Jankowska, Agnieszka, Kelleher, Cecily C., de Lauzon-Guillain, Blandine, McAuliffe, Fionnuala M., Mensink-Bout, Sara M., Polanska, Kinga, Relton, Caroline L., Suderman, Matthew, Hebert, James R., Phillips, Catherine M., Bernard, Jonathan Y., and Heude, Barbara
- Abstract
Background & aims: Maternal diet during pregnancy is a modifiable behaviour which plays an important role in maternal, neonatal and child health outcomes. Thus, knowledge of predictors of dietary quality and dietary inflammatory potential in European countries may contribute to developing maternal diet-related public health policies that target specific at-risk populations in Europe. Methods: We used harmonised data from >26,000 pregnant women enrolled in the ALSPAC, EDEN, Generation R, Lifeways, REPRO_PL, ROLO and SWS cohorts, as part of the ALPHABET consortium. Maternal dietary quality and inflammatory potential were assessed using the Dietary Approaches to Stop Hypertension (DASH) and the energy-adjusted Dietary Inflammatory Index (E-DII). We conducted an individual participant data meta-analysis to investigate the maternal sociodemographic, health and behavioural predictors of maternal diet before and during pregnancy. Results: DASH and E-DII scores were moderately correlated: from −0.63 (95% CI: −0.66, −0.59) to −0.48 (95% CI: −0.49, −0.47) across cohorts. Higher maternal age, education, household income, and physical activity during pregnancy were associated with a better dietary quality and a more anti-inflammatory diet. Conversely, multiparity and smoking during pregnancy were associated with a poorer dietary quality and a more proinflammatory diet. Women with obesity had a poorer pregnancy dietary quality than women with a normal body mass index range. Conclusions: The results will help identify population subgroups who may benefit from targeted public health strategies and interventions aimed at improving women's dietary quality during pregnancy.
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- 2022
32. Maternal diet in pregnancy and child’s respiratory outcomes:an individual participant data meta-analysis of 18 000 children
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Mensink-Bout, Sara M., van Meel, Evelien R., de Jongste, Johan C., Annesi-Maesano, Isabella, Aubert, Adrien M., Bernard, Jonathan Y., Chen, Ling Wei, Cooper, Cyrus, Crozier, Sarah, Hanke, Wojciech, Harvey, Nincholas C., Hebert, James R., Heude, Barbara, Jerzynska, Joanna, Kelleher, Cecily C., Mehegan, John, McAuliffe, Fionnuala M., Phillips, Catherine M., Polanska, Kinga, Relton, Caroline L., Shivappa, Nitin, Suderman, Matthew, Jaddoe, Vincent, Duijts, Liesbeth, Mensink-Bout, Sara M., van Meel, Evelien R., de Jongste, Johan C., Annesi-Maesano, Isabella, Aubert, Adrien M., Bernard, Jonathan Y., Chen, Ling Wei, Cooper, Cyrus, Crozier, Sarah, Hanke, Wojciech, Harvey, Nincholas C., Hebert, James R., Heude, Barbara, Jerzynska, Joanna, Kelleher, Cecily C., Mehegan, John, McAuliffe, Fionnuala M., Phillips, Catherine M., Polanska, Kinga, Relton, Caroline L., Shivappa, Nitin, Suderman, Matthew, Jaddoe, Vincent, and Duijts, Liesbeth
- Abstract
Rationale Severe fetal malnutrition has been related to an increased risk of respiratory diseases later in life, but evidence for the association of a suboptimal diet during pregnancy with respiratory outcomes in childhood is conflicting. We aimed to examine whether a pro-inflammatory or low-quality maternal diet during pregnancy was associated with child's respiratory health. Methods We performed an individual participant meta-analysis among 18 326 mother-child pairs from seven European birth cohorts. Maternal pro-inflammatory and low-quality diets were estimated by energyadjusted Dietary Inflammatory Index (E-DII) and Dietary Approaches to Stop Hypertension (DASH) scores. Preschool wheezing and school-age asthma were measured using questionnaires and lung function by spirometry. Results After adjustment for lifestyle and sociodemographic factors, we observed that a higher maternal E-DII score (a more pro-inflammatory diet) during pregnancy was associated only with a lower forced vital capacity (FVC) in children (z-score difference -0.05, 95% CI -0.08- -0.02, per interquartile range increase). No linear associations of the maternal E-DII or DASH score with child's wheezing or asthma were observed. In an exploratory examination of the extremes, a very low DASH score (<10th percentile) (a very low dietary quality) was associated with an increased risk of preschool wheezing and a low forced expiratory volume in 1 s/FVC (z-score <-1.64) (OR 1.20, 95% CI 1.06-1.36 and z-score difference 1.40, 95% CI 1.06-1.85, compared to ≥10th percentile), with corresponding population attributable risk fractions of 1.7% and 3.3%, respectively. Conclusion The main results from this individual participant data meta-analysis do not support the hypothesis that maternal pro-inflammatory or low-quality diet in pregnancy are related to respiratory diseases in childhood.
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- 2022
33. Micronutrients during pregnancy and child psychomotor development: Opposite effects of Zinc and Selenium
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Polanska, Kinga, Hanke, Wojciech, Krol, Anna, Gromadzinska, Jolanta, Kuras, Renata, Janasik, Beata, Wasowicz, Wojciech, Mirabella, Fiorino, Chiarotti, Flavia, and Calamandrei, Gemma
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- 2017
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34. Maternal stress during pregnancy and neurodevelopmental outcomes of children during the first 2 years of life
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Polanska, Kinga, Krol, Anna, Merecz‐Kot, Dorota, Jurewicz, Joanna, Makowiec‐Dabrowska, Teresa, Chiarotti, Flavia, Calamandrei, Gemma, and Hanke, Wojciech
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- 2017
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35. European Birth Cohorts for Environmental Health Research
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Vrijheid, Martine, Casas, Maribel, Bergström, Anna, Carmichael, Amanda, Cordier, Sylvaine, Eggesbø, Merete, Eller, Esben, Fantini, Maria P., Fernández, Mariana F., Fernández-Somoano, Ana, Gehring, Ulrike, Grazuleviciene, Regina, Hohmann, Cynthia, Karvonen, Anne M., Keil, Thomas, Kogevinas, Manolis, Koppen, Gudrun, Krämer, Ursula, Kuehni, Claudia E., Magnus, Per, Majewska, Renata, Andersen, Anne-Marie Nybo, Patelarou, Evridiki, Petersen, Maria Skaalum, Pierik, Frank H., Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Santos, Ana Cristina, Slama, Rémy, Sram, Radim J., Thijs, Carel, Tischer, Christina, Toft, Gunnar, Trnovec, Tomáš, Vandentorren, Stephanie, Vrijkotte, Tanja G.M., Wilhelm, Michael, Wright, John, and Nieuwenhuijsen, Mark
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- 2012
36. Additional file 1 of Susceptibility to tobacco use and associated factors among youth in five central and eastern European countries
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Polanska, Kinga, Znyk, Malgorzata, and Kaleta, Dorota
- Abstract
Additional file 1: Table S1. Susceptibility to tobacco use among never smokers from five central and eastern European countries. Table S2. Factors associated with susceptibility to tobacco use among never smoking youth from five central and eastern European countries - univariable logistic regression. Fig. S1. Forest plots showing adjusted associations of selected sociodemographic factors and susceptibility to tobacco use among never smoking youth from five central and eastern European countries. Country-specific odds ratio (OR) and 95% confidence interval (CI) were estimated by multivariable logistic regression models, and overall OR and 95% CI were estimated by random-effects meta-analysis by country. The following factors were included in the model: sex, age, money available for own expenses, SHS exposure at home and in public places, parental and peers smoking, knowledge about harmfulness of active and passive smoking, difficulty of quitting smoking, attractiveness and popularity of smoking, antismoking education provided by the school or family, tobacco advertising at point of sale, noticing people smoking at school and in movies. I2, percentage of the total variability attributable to between-country heterogeneity; p, p value of heterogeneity using the Cochran���s Q test. Fig. S2. Forest plots showing adjusted associations of selected factors related to SHS exposure and susceptibility to tobacco use among never smoking youth from five central and eastern European countries. Country-specific odds ratio (OR) and 95% confidence interval (CI) were estimated by multivariable logistic regression models, and overall OR and 95% CI were estimated by random-effects meta-analysis by country. The following factors were included in the model: sex, age, money available for own expenses, SHS exposure at home and in public places, parental and peers smoking, knowledge about harmfulness of active and passive smoking, difficulty of quitting smoking, attractiveness and popularity of smoking, antismoking education provided by the school or family, pro-tobacco media and advertising. I2, percentage of the total variability attributable to between-country heterogeneity; p, p value of heterogeneity using the Cochran���s Q test. Fig. S3. Forest plots showing adjusted associations of noticing tobacco advertising at point of sale, people smoking at school and in movies and susceptibility to tobacco use among never smoking youth from five central and eastern European countries. Country-specific odds ratio (OR) and 95% confidence interval (CI) were estimated by multivariable logistic regression models, and overall OR and 95% CI were estimated by random-effects meta-analysis by country. The following factors were included in the model: sex, age, money available for own expenses, SHS exposure at home and in public places, parental and peers smoking, knowledge about harmfulness of active and passive smoking, difficulty of quitting smoking, attractiveness and popularity of smoking, antismoking education provided by the school or family, pro-tobacco media and advertising. I2, percentage of the total variability attributable to between-country heterogeneity; p, p value of heterogeneity using the Cochran���s Q test. Fig. S4. Forest plots showing adjusted associations of knowledge about harmfulness of active and passive smoking, difficulty of quitting smoking, and susceptibility to tobacco use among never smoking youth from five central and eastern European countries. Country-specific odds ratio (OR) and 95% confidence interval (CI) were estimated by multivariable logistic regression models, and overall OR and 95% CI were estimated by random-effects meta-analysis by country. The following factors were included in the model: sex, age, money available for own expenses, SHS exposure at home and in public places, parental and peers smoking, knowledge about harmfulness of active and passive smoking, difficulty of quitting smoking, attractiveness and popularity of smoking, antismoking education provided by the school or family, tobacco advertising at point of sale, noticing people smoking at school and in movies. I2, percentage of the total variability attributable to between-country heterogeneity; p, p value of heterogeneity using the Cochran���s Q test. Fig. S5. Forest plots showing adjusted associations of attractiveness and popularity of smoking and susceptibility to tobacco use among never smoking youth from five central and eastern European countries. Country-specific odds ratio (OR) and 95% confidence interval (CI) were estimated by multivariable logistic regression models, and overall OR and 95% CI were estimated by random-effects meta-analysis by country. The following factors were included in the model: sex, age, money available for own expenses, SHS exposure at home and in public places, parental and peers smoking, knowledge about harmfulness of active and passive smoking, difficulty of quitting smoking, attractiveness and popularity of smoking, antismoking education provided by the school or family, tobacco advertising at point of sale, noticing people smoking at school and in movies. I2, percentage of the total variability attributable to between-country heterogeneity; p, p value of heterogeneity using the Cochran���s Q test.
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- 2022
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37. Review of the Existing Evidence for Sex-Specific Relationships between Prenatal Phthalate Exposure and Children’s Neurodevelopment
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Jankowska, Agnieszka, primary, Nazareth, Linda, additional, Kaleta, Dorota, additional, and Polanska, Kinga, additional
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- 2021
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38. Maternal diet in pregnancy and child's respiratory outcomes: an individual participant data meta-analysis of 18 000 children
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Mensink-Bout, Sara M., primary, van Meel, Evelien R., additional, de Jongste, Johan C., additional, Annesi-Maesano, Isabella, additional, Aubert, Adrien M., additional, Bernard, Jonathan Y., additional, Chen, Ling-Wei, additional, Cooper, Cyrus, additional, Crozier, Sarah R., additional, Hanke, Wojciech, additional, Harvey, Nicholas C., additional, Hébert, James R., additional, Heude, Barbara, additional, Jerzynska, Joanna, additional, Kelleher, Cecily C., additional, Mehegan, John, additional, McAuliffe, Fionnuala M., additional, Phillips, Catherine M., additional, Polanska, Kinga, additional, Relton, Caroline L., additional, Shivappa, Nitin, additional, Suderman, Matthew, additional, Jaddoe, Vincent W.V., additional, and Duijts, Liesbeth, additional
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- 2021
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39. Trends of e-cigarettes and tobacco use among secondary and high school students from Poland over three years observation
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Kaleta, Dorota, primary and Polanska, Kinga, additional
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- 2021
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40. The youth’s awareness of regulations banning e-cigarette advertising, promotion, sponsorship and their use in educational buildings
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Kaleta, Dorota, primary and Polanska, Kinga, additional
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- 2021
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41. Neurodevelopmental effects of prenatal co-exposure to heavy metals and phthalates
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Anesti, Ourania, primary, Sarigiannis, Denis A., additional, Polanska, Kinga, additional, and Hanke, Wojzech, additional
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- 2021
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42. Neurodevelopmental exposome: The effect of in utero co-exposure to heavy metals and phthalates on child neurodevelopment
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Sarigiannis, Denis A., primary, Papaioannou, Nafsika, additional, Handakas, Evangelos, additional, Anesti, Ourania, additional, Polanska, Kinga, additional, Hanke, Woijcek, additional, Salifoglou, Athanasios, additional, Gabriel, Catherine, additional, and Karakitsios, Spyros, additional
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- 2021
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43. Additional file 1 of Human-Biomonitoring derived exposure and Daily Intakes of Bisphenol A and their associations with neurodevelopmental outcomes among children of the Polish Mother and Child Cohort Study
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Garí, Mercè, Moos, Rebecca, Bury, Daniel, Kasper-Sonnenberg, Monika, Jankowska, Agnieszka, Andysz, Aleksandra, Hanke, Wojciech, Nowak, Dennis, Bose-O’Reilly, Stephan, Koch, Holger M., and Polanska, Kinga
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Data_FILES - Abstract
Additional file 1.
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- 2021
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44. Predictors of Smoking Relapse After Delivery: Prospective Study in Central Poland
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Polanska, Kinga, Hanke, Wojciech, Sobala, Wojciech, Lowe, John B., and Jaakkola, Jouni J. K.
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- 2011
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45. Dietary Quality and Dietary Inflammatory Potential During Pregnancy and Offspring Emotional and Behavioral Symptoms in Childhood: An Individual Participant Data Meta-analysis of Four European Cohorts
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Polanska, Kinga, primary, Kaluzny, Pawel, additional, Aubert, Adrien M., additional, Bernard, Jonathan Y., additional, Duijts, Liesbeth, additional, El Marroun, Hanan, additional, Hanke, Wojciech, additional, Hébert, James R., additional, Heude, Barbara, additional, Jankowska, Agnieszka, additional, Mancano, Giulia, additional, Mensink-Bout, Sara M., additional, Relton, Caroline, additional, Shivappa, Nitin, additional, Suderman, Matthew, additional, Trafalska, Elzbieta, additional, Wesolowska, Ewelina, additional, Garcia-Esteban, Raquel, additional, Guxens, Mònica, additional, Casas, Maribel, additional, and Phillips, Catherine M., additional
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- 2021
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46. Changes in parental smoking during pregnancy and risks of adverse birth outcomes and childhood overweight in Europe and North America:An individual participant data meta-analysis of 229,000 singleton births
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Philips, Elise M., Santos, Susana, Trasande, Leonardo, Aurrekoetxea, Juan J., Barros, Henrique, von Berg, Andrea, Bergström, Anna, Bird, Philippa K., Brescianini, Sonia, Chaoimh, Carol Ni, Charles, Marie-Aline, Chatzi, Leda, Chevrier, Cécile, Chrousos, George P., Costet, Nathalie, Criswell, Rachel, Crozier, Sarah, Eggesbo, Merete, Fantini, Maria Pia, Farchi, Sara, Forastiere, Francesco, van Gelder, Marleen M. H. J., Georgiu, Vagelis, Godfrey, Keith M., Gori, Davide, Hanke, Wojciech, Heude, Barbara, Hryhorczuk, Daniel, Iñiguez, Carmen, Inskip, Hazel, Karvonen, Anne M., Kenny, Louise C., Kull, Inger, Lawlor, Debbie A., Lehmann, Irina, Magnus, Per, Manios, Yannis, Melén, Erik, Mommers, Monique, Morgen, Camilla S., Moschonis, George, Murray, Deirdre, Nohr, Ellen A., Nybo Andersen, Anne-Marie, Oken, Emily, Oostvogels, Adriëtte J. J. M., Papadopoulou, Eleni, Pekkanen, Juha, Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Rifas-Shiman, Sheryl L., Roeleveld, Nel, Rusconi, Franca, Santos, Ana C., Sørensen, Thorkild I.A., Standl, Marie, Stoltenberg, Camilla, Sunyer, Jordi, Thiering, Elisabeth, Thijs, Carel, Torrent, Maties, Vrijkotte, Tanja G. M., Wright, John, Zvinchuk, Oleksandr, Gaillard, Romy, Jaddoe, Vincent W. V., Philips, Elise M., Santos, Susana, Trasande, Leonardo, Aurrekoetxea, Juan J., Barros, Henrique, von Berg, Andrea, Bergström, Anna, Bird, Philippa K., Brescianini, Sonia, Chaoimh, Carol Ni, Charles, Marie-Aline, Chatzi, Leda, Chevrier, Cécile, Chrousos, George P., Costet, Nathalie, Criswell, Rachel, Crozier, Sarah, Eggesbo, Merete, Fantini, Maria Pia, Farchi, Sara, Forastiere, Francesco, van Gelder, Marleen M. H. J., Georgiu, Vagelis, Godfrey, Keith M., Gori, Davide, Hanke, Wojciech, Heude, Barbara, Hryhorczuk, Daniel, Iñiguez, Carmen, Inskip, Hazel, Karvonen, Anne M., Kenny, Louise C., Kull, Inger, Lawlor, Debbie A., Lehmann, Irina, Magnus, Per, Manios, Yannis, Melén, Erik, Mommers, Monique, Morgen, Camilla S., Moschonis, George, Murray, Deirdre, Nohr, Ellen A., Nybo Andersen, Anne-Marie, Oken, Emily, Oostvogels, Adriëtte J. J. M., Papadopoulou, Eleni, Pekkanen, Juha, Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Rifas-Shiman, Sheryl L., Roeleveld, Nel, Rusconi, Franca, Santos, Ana C., Sørensen, Thorkild I.A., Standl, Marie, Stoltenberg, Camilla, Sunyer, Jordi, Thiering, Elisabeth, Thijs, Carel, Torrent, Maties, Vrijkotte, Tanja G. M., Wright, John, Zvinchuk, Oleksandr, Gaillard, Romy, and Jaddoe, Vincent W. V.
- Abstract
Author summaryWhy was this study done? Maternal smoking during pregnancy is an important risk factor for various birth complications and childhood overweight. It is not clear whether this increased risk is also present if mothers smoke during the first trimester only or reduce the number of cigarettes during pregnancy. The associations of paternal smoking with birth and childhood outcomes also remain unknown. What did the researchers do and find? We conducted an individual participant data meta-analysis using data from 229,158 families from 28 pregnancy and birth cohorts from Europe and North America to assess the associations of parental smoking during pregnancy, specifically of quitting or reducing smoking and maternal and paternal smoking combined, with preterm birth, small size for gestational age, and childhood overweight. We observed that smoking in the first trimester only did not increase the risk of preterm birth and small size for gestational age but was associated with a higher risk of childhood overweight, as compared to nonsmoking. Reducing the number of cigarettes during pregnancy, without quitting, was still associated with higher risks of these adverse outcomes. Paternal smoking seems to be associated, independently of maternal smoking, with the risks of childhood overweight. What do these findings mean? Population strategies should focus on parental smoking prevention before or at the start of, rather than during, pregnancy. Future studies are needed to assess the specific associations of smoking in the preconception and childhood periods with offspring outcomes.Background Fetal smoke exposure is a common and key avoidable risk factor for birth complications and seems to influence later risk of overweight. It is unclear whether this increased risk is also present if mothers smoke during the first trimester only or reduce the number of cigarettes during pregnancy, or when only fathers smoke. We aimed to assess the associations of parental s
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- 2020
47. Tobacco and E-Cigarettes Point of Sale Advertising—Assessing Compliance with Tobacco Advertising, Promotion and Sponsorship Bans in Poland
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Polanska, Kinga, primary and Kaleta, Dorota, additional
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- 2021
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48. Susceptibility to smoking and associated factors among the youth in central and eastern European countries.
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Polanska, Kinga, primary, Znyk, Malgorzata, additional, and Kaleta, Dorota, additional
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- 2021
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49. Correlates of Alcohol Consumption Among a Socially-Disadvantaged Population in Poland
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Polanska, Kinga, primary and Kaleta, Dorota, additional
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- 2020
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50. Pregnancy and Birth Cohort Resources in Europe: a Large Opportunity for Aetiological Child Health Research
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Larsen, Pernille Stemann, Kamper-Jrgensen, Mads, Adamson, Ashley, Barros, Henrique, Bonde, Jens Peter, Brescianini, Sonia, Brophy, Sinead, Casas, Maribel, Devereux, Graham, Eggesb, Merete, Fantini, Maria Pia, Frey, Urs, Gehring, Ulrike, Grazuleviciene, Regina, Henriksen, Tine Brink, Hertz-Picciotto, Irva, Heude, Barbara, Hryhorczuk, Daniel O., Inskip, Hazel, Jaddoe, Vincent W.V., Lawlor, Debbie A, Ludvigsson, Johnny, Kelleher, Cecily, Kiess, Wieland, Koletzko, Berthold, Kuehni, Claudia Elisabeth, Kull, Inger, Kyhl, Henriette Boye, Magnus, Per, Momas, Isabelle, Murray, Dierdre, Pekkanen, Juha, Polanska, Kinga, Porta, Daniela, Poulsen, Gry, Richiardi, Lorenzo, Roeleveld, Nel, Skovgaard, Anne Mette, Sram, Radim J., Strandberg-Larsen, Katrine, Thijs, Carel, Van Eijsden, Manon, Wright, John, Vrijheid, Martine, and Andersen, Anne-Marie Nybo
- Published
- 2013
- Full Text
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