167 results on '"Jaddoe, Vincent"'
Search Results
2. Social inequalities in child mental health trajectories: a longitudinal study using birth cohort data 12 countries
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Cadman, Tim, Avraam, Demetris, Carson, Jennie, Elhakeem, Ahmed, Grote, Veit, Guerlich, Kathrin, Guxens, Mònica, Howe, Laura D., Huang, Rae-Chi, Harris, Jennifer R., Houweling, Tanja A. J., Hyde, Eleanor, Jaddoe, Vincent, Jansen, Pauline W., Julvez, Jordi, Koletzko, Berthold, Lin, Ashleigh, Margetaki, Katerina, Melchior, Maria, Nader, Johanna Thorbjornsrud, Pedersen, Marie, Pizzi, Costanza, Roumeliotaki, Theano, Swertz, Morris, Tafflet, Muriel, Taylor-Robinson, David, Wootton, Robyn E., and Strandberg-Larsen, Katrine
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- 2024
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3. Author Correction: Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes
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Bradfeld, Jonathan P., Kember, Rachel L., Ulrich, Anna, Balkhiyarova, Zhanna, Alyass, Akram, Aris, Izzuddin M., Bell, Joshua A., Broadaway, K. Alaine, Chen, Zhanghua, Chai, Jin-Fang, Davies, Neil M., Fernandez-Orth, Dietmar, Bustamante, Mariona, Fore, Ruby, Ganguli, Amitavo, Heiskala, Anni, Hottenga, Jouke-Jan, Íñiguez, Carmen, Kobes, Sayuko, Leinonen, Jaakko, Lowry, Estelle, Lyytikainen, Leo-Pekka, Mahajan, Anubha, Pitkänen, Niina, Schnurr, Theresia M., Have, Christian Theil, Strachan, David P., Thiering, Elisabeth, Vogelezang, Suzanne, Wade, Kaitlin H., Wang, Carol A., Wong, Andrew, Holm, Louise Aas, Chesi, Alessandra, Choong, Catherine, Cruz, Miguel, Elliott, Paul, Franks, Steve, Frithiof-Bøjsøe, Christine, Gauderman, W. James, Glessner, Joseph T., Gilsanz, Vicente, Griesman, Kendra, Hanson, Robert L., Kaakinen, Marika, Kalkwarf, Heidi, Kelly, Andrea, Kindler, Joseph, Kähönen, Mika, Lanca, Carla, Lappe, Joan, Lee, Nanette R., McCormack, Shana, Mentch, Frank D., Mitchell, Jonathan A., Mononen, Nina, Niinikoski, Harri, Oken, Emily, Pahkala, Katja, Sim, Xueling, Teo, Yik-Ying, Baier, Leslie J., van Beijsterveldt, Toos, Adair, Linda S., Boomsma, Dorret I., de Geus, Eco, Guxens, Mònica, Eriksson, Johan G., Felix, Janine F., Gilliland, Frank D., Hansen, Torben, Hardy, Rebecca, Hivert, Marie-France, Holm, Jens-Christian, Jaddoe, Vincent W. V., Järvelin, Marjo-Riitta, Lehtimäki, Terho, Mackey, David A., Meyre, David, Mohlke, Karen L., Mykkänen, Juha, Oberfeld, Sharon, Pennell, Craig E., Perry, John R. B., Raitakari, Olli, Rivadeneira, Fernando, Saw, Seang-Mei, Sebert, Sylvain, Shepherd, John A., Standl, Marie, Sørensen, Thorkild I. A., Timpson, Nicholas J., Torrent, Maties, Willemsen, Gonneke, Hypponen, Elina, Power, Chris, McCarthy, Mark I., Freathy, Rachel M., Widén, Elisabeth, Hakonarson, Hakon, Prokopenko, Inga, Voight, Benjamin F., Zemel, Babette S., Grant, Struan F. A., and Cousminer, Diana L.
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- 2024
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4. Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes
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Bradfield, Jonathan P., Kember, Rachel L., Ulrich, Anna, Balkhiyarova, Zhanna, Alyass, Akram, Aris, Izzuddin M., Bell, Joshua A., Broadaway, K. Alaine, Chen, Zhanghua, Chai, Jin-Fang, Davies, Neil M., Fernandez-Orth, Dietmar, Bustamante, Mariona, Fore, Ruby, Ganguli, Amitavo, Heiskala, Anni, Hottenga, Jouke-Jan, Íñiguez, Carmen, Kobes, Sayuko, Leinonen, Jaakko, Lowry, Estelle, Lyytikainen, Leo-Pekka, Mahajan, Anubha, Pitkänen, Niina, Schnurr, Theresia M., Have, Christian Theil, Strachan, David P., Thiering, Elisabeth, Vogelezang, Suzanne, Wade, Kaitlin H., Wang, Carol A., Wong, Andrew, Holm, Louise Aas, Chesi, Alessandra, Choong, Catherine, Cruz, Miguel, Elliott, Paul, Franks, Steve, Frithioff-Bøjsøe, Christine, Gauderman, W. James, Glessner, Joseph T., Gilsanz, Vicente, Griesman, Kendra, Hanson, Robert L., Kaakinen, Marika, Kalkwarf, Heidi, Kelly, Andrea, Kindler, Joseph, Kähönen, Mika, Lanca, Carla, Lappe, Joan, Lee, Nanette R., McCormack, Shana, Mentch, Frank D., Mitchell, Jonathan A., Mononen, Nina, Niinikoski, Harri, Oken, Emily, Pahkala, Katja, Sim, Xueling, Teo, Yik-Ying, Baier, Leslie J., van Beijsterveldt, Toos, Adair, Linda S., Boomsma, Dorret I., de Geus, Eco, Guxens, Mònica, Eriksson, Johan G., Felix, Janine F., Gilliland, Frank D., Biobank, Penn Medicine, Hansen, Torben, Hardy, Rebecca, Hivert, Marie-France, Holm, Jens-Christian, Jaddoe, Vincent W. V., Järvelin, Marjo-Riitta, Lehtimäki, Terho, Mackey, David A., Meyre, David, Mohlke, Karen L., Mykkänen, Juha, Oberfield, Sharon, Pennell, Craig E., Perry, John R. B., Raitakari, Olli, Rivadeneira, Fernando, Saw, Seang-Mei, Sebert, Sylvain, Shepherd, John A., Standl, Marie, Sørensen, Thorkild I. A., Timpson, Nicholas J., Torrent, Maties, Willemsen, Gonneke, Hypponen, Elina, Power, Chris, McCarthy, Mark I., Freathy, Rachel M., Widén, Elisabeth, Hakonarson, Hakon, Prokopenko, Inga, Voight, Benjamin F., Zemel, Babette S., Grant, Struan F. A., and Cousminer, Diana L.
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- 2024
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5. Defining type 2 diabetes polygenic risk scores through colocalization and network-based clustering of metabolic trait genetic associations
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Ghatan, Samuel, van Rooij, Jeroen, van Hoek, Mandy, Boer, Cindy G., Felix, Janine F., Kavousi, Maryam, Jaddoe, Vincent W., Sijbrands, Eric J. G., Medina-Gomez, Carolina, Rivadeneira, Fernando, and Oei, Ling
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- 2024
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6. Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude
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Kadalayil, Latha, Alam, Md. Zahangir, White, Cory Haley, Ghantous, Akram, Walton, Esther, Gruzieva, Olena, Merid, Simon Kebede, Kumar, Ashish, Roy, Ritu P., Solomon, Olivia, Huen, Karen, Eskenazi, Brenda, Rzehak, Peter, Grote, Veit, Langhendries, Jean-Paul, Verduci, Elvira, Ferre, Natalia, Gruszfeld, Darek, Gao, Lu, Guan, Weihua, Zeng, Xuehuo, Schisterman, Enrique F., Dou, John F., Bakulski, Kelly M., Feinberg, Jason I., Soomro, Munawar Hussain, Pesce, Giancarlo, Baiz, Nour, Isaevska, Elena, Plusquin, Michelle, Vafeiadi, Marina, Roumeliotaki, Theano, Langie, Sabine A. S., Standaert, Arnout, Allard, Catherine, Perron, Patrice, Bouchard, Luigi, van Meel, Evelien R., Felix, Janine F., Jaddoe, Vincent W. V., Yousefi, Paul D., Ramlau-Hansen, Cecilia H., Relton, Caroline L., Tobi, Elmar W., Starling, Anne P., Yang, Ivana V., Llambrich, Maria, Santorelli, Gillian, Lepeule, Johanna, Salas, Lucas A., Bustamante, Mariona, Ewart, Susan L., Zhang, Hongmei, Karmaus, Wilfried, Röder, Stefan, Zenclussen, Ana Claudia, Jin, Jianping, Nystad, Wenche, Page, Christian M., Magnus, Maria, Jima, Dereje D., Hoyo, Cathrine, Maguire, Rachel L., Kvist, Tuomas, Czamara, Darina, Räikkönen, Katri, Gong, Tong, Ullemar, Vilhelmina, Rifas-Shiman, Sheryl L., Oken, Emily, Almqvist, Catarina, Karlsson, Robert, Lahti, Jari, Murphy, Susan K., Håberg, Siri E., London, Stephanie, Herberth, Gunda, Arshad, Hasan, Sunyer, Jordi, Grazuleviciene, Regina, Dabelea, Dana, Steegers-Theunissen, Régine P. M., Nohr, Ellen A., Sørensen, Thorkild I. A., Duijts, Liesbeth, Hivert, Marie-France, Nelen, Vera, Popovic, Maja, Kogevinas, Manolis, Nawrot, Tim S., Herceg, Zdenko, Annesi-Maesano, Isabella, Fallin, M. Daniele, Yeung, Edwina, Breton, Carrie V., Koletzko, Berthold, Holland, Nina, Wiemels, Joseph L., Melén, Erik, Sharp, Gemma C., Silver, Matt J., Rezwan, Faisal I., and Holloway, John W.
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- 2023
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7. Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course: a multi-cohort study
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Elhakeem, Ahmed, Ronkainen, Justiina, Mansell, Toby, Lange, Katherine, Mikkola, Tuija M., Mishra, Binisha H., Wahab, Rama J., Cadman, Tim, Yang, Tiffany, Burgner, David, Eriksson, Johan G., Järvelin, Marjo-Riitta, Gaillard, Romy, Jaddoe, Vincent W. V., Lehtimäki, Terho, Raitakari, Olli T., Saffery, Richard, Wake, Melissa, Wright, John, Sebert, Sylvain, and Lawlor, Deborah A.
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- 2023
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8. Depression, cardiometabolic disease, and their co-occurrence after childhood maltreatment: an individual participant data meta-analysis including over 200,000 participants
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Souama, Camille, Lamers, Femke, Milaneschi, Yuri, Vinkers, Christiaan H., Defina, Serena, Garvert, Linda, Stein, Frederike, Woofenden, Tom, Brosch, Katharina, Dannlowski, Udo, Galenkamp, Henrike, de Graaf, Ron, Jaddoe, Vincent W. V., Lok, Anja, van Rijn, Bas B., Völzke, Henry, Cecil, Charlotte A. M., Felix, Janine F., Grabe, Hans J., Kircher, Tilo, Lekadir, Karim, Have, Margreet ten, Walton, Esther, and Penninx, Brenda W. J. H.
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- 2023
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9. Preconception and early-pregnancy risk prediction for birth complications: development of prediction models within a population-based prospective cohort
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Wahab, Rama J., Jaddoe, Vincent W. V., van Klaveren, David, Vermeulen, Marijn J., Reiss, Irwin K. M., Steegers, Eric A. P., and Gaillard, Romy
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- 2022
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10. Rates of spectacle wear in early childhood in the Netherlands
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Iyer, Vasanthi, Enthoven, Clair A., van Dommelen, Paula, van Samkar, Ashwin, Groenewoud, Johanna H., Jaddoe, Vincent V. W., Reijneveld, Sijmen A., and Klaver, Caroline C. W.
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- 2022
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11. Genetics of early-life head circumference and genetic correlations with neurological, psychiatric and cognitive outcomes
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Vogelezang, Suzanne, Bradfield, Jonathan P., Grant, Struan F. A., Felix, Janine F., and Jaddoe, Vincent W. V.
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- 2022
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12. Epigenome-wide contributions to individual differences in childhood phenotypes: a GREML approach
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Neumann, Alexander, Pingault, Jean-Baptiste, Felix, Janine F., Jaddoe, Vincent W. V., Tiemeier, Henning, Cecil, Charlotte, and Walton, Esther
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- 2022
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13. Fetal exposure to phthalates and bisphenols and DNA methylation at birth: the Generation R Study
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Sol, Chalana M., Gaylord, Abigail, Santos, Susana, Jaddoe, Vincent W. V., Felix, Janine F., and Trasande, Leonardo
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- 2022
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14. Associations of circulating folate, vitamin B12 and homocysteine concentrations in early pregnancy and cord blood with epigenetic gestational age: the Generation R Study
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Monasso, Giulietta S., Küpers, Leanne K., Jaddoe, Vincent W. V., Heil, Sandra G., and Felix, Janine F.
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- 2021
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15. Epigenetic age acceleration and cardiovascular outcomes in school-age children: The Generation R Study
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Monasso, Giulietta S., Jaddoe, Vincent W. V., Küpers, Leanne K., and Felix, Janine F.
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- 2021
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16. Maternal bisphenol urine concentrations, fetal growth and adverse birth outcomes: A population-based prospective cohort
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Sol, Chalana M., van Zwol - Janssens, Charissa, Philips, Elise M., Asimakopoulos, Alexandros G., Martinez-Moral, Maria-Pilar, Kannan, Kurunthachalam, Jaddoe, Vincent W. V., Trasande, Leonardo, and Santos, Susana
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- 2021
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17. DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies
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Vehmeijer, Florianne O. L., Küpers, Leanne K., Sharp, Gemma C., Salas, Lucas A., Lent, Samantha, Jima, Dereje D., Tindula, Gwen, Reese, Sarah, Qi, Cancan, Gruzieva, Olena, Page, Christian, Rezwan, Faisal I., Melton, Philip E., Nohr, Ellen, Escaramís, Geòrgia, Rzehak, Peter, Heiskala, Anni, Gong, Tong, Tuominen, Samuli T., Gao, Lu, Ross, Jason P., Starling, Anne P., Holloway, John W., Yousefi, Paul, Aasvang, Gunn Marit, Beilin, Lawrence J., Bergström, Anna, Binder, Elisabeth, Chatzi, Leda, Corpeleijn, Eva, Czamara, Darina, Eskenazi, Brenda, Ewart, Susan, Ferre, Natalia, Grote, Veit, Gruszfeld, Dariusz, Håberg, Siri E., Hoyo, Cathrine, Huen, Karen, Karlsson, Robert, Kull, Inger, Langhendries, Jean-Paul, Lepeule, Johanna, Magnus, Maria C., Maguire, Rachel L., Molloy, Peter L., Monnereau, Claire, Mori, Trevor A., Oken, Emily, Räikkönen, Katri, Rifas-Shiman, Sheryl, Ruiz-Arenas, Carlos, Sebert, Sylvain, Ullemar, Vilhelmina, Verduci, Elvira, Vonk, Judith M., Xu, Cheng-jian, Yang, Ivana V., Zhang, Hongmei, Zhang, Weiming, Karmaus, Wilfried, Dabelea, Dana, Muhlhausler, Beverly S., Breton, Carrie V., Lahti, Jari, Almqvist, Catarina, Jarvelin, Marjo-Riitta, Koletzko, Berthold, Vrijheid, Martine, Sørensen, Thorkild I. A., Huang, Rae-Chi, Arshad, Syed Hasan, Nystad, Wenche, Melén, Erik, Koppelman, Gerard H., London, Stephanie J., Holland, Nina, Bustamante, Mariona, Murphy, Susan K., Hivert, Marie-France, Baccarelli, Andrea, Relton, Caroline L., Snieder, Harold, Jaddoe, Vincent W. V., and Felix, Janine F.
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- 2020
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18. Associations of maternal early-pregnancy blood glucose and insulin concentrations with DNA methylation in newborns
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Geurtsen, Madelon L., Jaddoe, Vincent W. V., Gaillard, Romy, and Felix, Janine F.
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- 2020
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19. Maternal cardiovascular adaptation to twin pregnancy: a population-based prospective cohort study
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Adank, Maria C., Broere-Brown, Zoe A., Gonçalves, Romy, Ikram, M. Kamran, Jaddoe, Vincent W. V., Steegers, Eric A. P., and Schalekamp-Timmermans, Sarah
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- 2020
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20. Second and third trimester fetal ultrasound population screening for risks of preterm birth and small-size and large-size for gestational age at birth: a population-based prospective cohort study: Fetal ultrasound screening for common adverse birth outcomes
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Erkamp, Jan S., Voerman, Ellis, Steegers, Eric A. P., Mulders, Annemarie G. M. G. J., Reiss, Irwin K. M., Duijts, Liesbeth, Jaddoe, Vincent W. V., and Gaillard, Romy
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- 2020
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21. Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age
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Merid, Simon Kebede, Novoloaca, Alexei, Sharp, Gemma C., Küpers, Leanne K., Kho, Alvin T., Roy, Ritu, Gao, Lu, Annesi-Maesano, Isabella, Jain, Pooja, Plusquin, Michelle, Kogevinas, Manolis, Allard, Catherine, Vehmeijer, Florianne O., Kazmi, Nabila, Salas, Lucas A., Rezwan, Faisal I., Zhang, Hongmei, Sebert, Sylvain, Czamara, Darina, Rifas-Shiman, Sheryl L., Melton, Phillip E., Lawlor, Debbie A., Pershagen, Göran, Breton, Carrie V., Huen, Karen, Baiz, Nour, Gagliardi, Luigi, Nawrot, Tim S., Corpeleijn, Eva, Perron, Patrice, Duijts, Liesbeth, Nohr, Ellen Aagaard, Bustamante, Mariona, Ewart, Susan L., Karmaus, Wilfried, Zhao, Shanshan, Page, Christian M., Herceg, Zdenko, Jarvelin, Marjo-Riitta, Lahti, Jari, Baccarelli, Andrea A., Anderson, Denise, Kachroo, Priyadarshini, Relton, Caroline L., Bergström, Anna, Eskenazi, Brenda, Soomro, Munawar Hussain, Vineis, Paolo, Snieder, Harold, Bouchard, Luigi, Jaddoe, Vincent W., Sørensen, Thorkild I. A., Vrijheid, Martine, Arshad, S. Hasan, Holloway, John W., Håberg, Siri E., Magnus, Per, Dwyer, Terence, Binder, Elisabeth B., DeMeo, Dawn L., Vonk, Judith M., Newnham, John, Tantisira, Kelan G., Kull, Inger, Wiemels, Joseph L., Heude, Barbara, Sunyer, Jordi, Nystad, Wenche, Munthe-Kaas, Monica C., Räikkönen, Katri, Oken, Emily, Huang, Rae-Chi, Weiss, Scott T., Antó, Josep Maria, Bousquet, Jean, Kumar, Ashish, Söderhäll, Cilla, Almqvist, Catarina, Cardenas, Andres, Gruzieva, Olena, Xu, Cheng-Jian, Reese, Sarah E., Kere, Juha, Brodin, Petter, Solomon, Olivia, Wielscher, Matthias, Holland, Nina, Ghantous, Akram, Hivert, Marie-France, Felix, Janine F., Koppelman, Gerard H., London, Stephanie J., and Melén, Erik
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- 2020
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22. Newborn and childhood differential DNA methylation and liver fat in school-age children
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Geurtsen, Madelon L., Jaddoe, Vincent W. V., Salas, Lucas A., Santos, Susana, and Felix, Janine F.
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- 2019
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23. Customized versus population birth weight charts for identification of newborns at risk of long-term adverse cardio-metabolic and respiratory outcomes: a population-based prospective cohort study
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Erkamp, Jan S., Jaddoe, Vincent W. V., Mulders, Annemarie G. M. G. J., Steegers, Eric A. P., Reiss, Irwin K. M., Duijts, Liesbeth, and Gaillard, Romy
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- 2019
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24. Deceleration of fetal growth rate as alternative predictor for childhood outcomes: a birth cohort study
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Broere-Brown, Zoe A., Schalekamp-Timmermans, Sarah, Jaddoe, Vincent W. V., and Steegers, Eric A. P.
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- 2019
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25. Prenatal maternal antidepressants, anxiety, and depression and offspring DNA methylation: epigenome-wide associations at birth and persistence into early childhood
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Cardenas, Andres, Faleschini, Sabrina, Cortes Hidalgo, Andrea, Rifas-Shiman, Sheryl L., Baccarelli, Andrea A., DeMeo, Dawn L., Litonjua, Augusto A., Neumann, Alexander, Felix, Janine F., Jaddoe, Vincent W. V., El Marroun, Hanan, Tiemeier, Henning, Oken, Emily, Hivert, Marie-France, and Burris, Heather H.
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- 2019
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26. 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 J. J. M., 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 I. A., Standl, Marie, Stanislawski, Maggie, Stoltenberg, Camilla, Thiering, Elisabeth, Thijs, Carel, Torrent, Maties, Tough, Suzanne C., Trnovec, Tomas, van Gelder, Marleen M. H. J., van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja G. M., Zvinchuk, Oleksandr, van Buuren, Stef, and Jaddoe, Vincent W. V.
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- 2018
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27. Eating behavior and body composition across childhood: a prospective cohort study
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Derks, Ivonne P. M., Sijbrands, Eric J. G., Wake, Melissa, Qureshi, Farah, van der Ende, Jan, Hillegers, Manon H. J., Jaddoe, Vincent W. V., Tiemeier, Henning, and Jansen, Pauline W.
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- 2018
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28. Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania
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LS IRAS EEPI ME (Milieu epidemiologie), Leerstoel van Buuren, Methodology and statistics for the behavioural and social sciences, 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 J J M, 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 I A, Standl, Marie, Stanislawski, Maggie, Stoltenberg, Camilla, Thiering, Elisabeth, Thijs, Carel, Torrent, Maties, Tough, Suzanne C, Trnovec, Tomas, van Gelder, Marleen M H J, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja G M, Zvinchuk, Oleksandr, van Buuren, Stef, Jaddoe, Vincent W V, LS IRAS EEPI ME (Milieu epidemiologie), Leerstoel van Buuren, Methodology and statistics for the behavioural and social sciences, 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 J J M, 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 I A, Standl, Marie, Stanislawski, Maggie, Stoltenberg, Camilla, Thiering, Elisabeth, Thijs, Carel, Torrent, Maties, Tough, Suzanne C, Trnovec, Tomas, van Gelder, Marleen M H J, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja G M, Zvinchuk, Oleksandr, van Buuren, Stef, and Jaddoe, Vincent W V
- Published
- 2018
29. Gestational weight gain charts for different body mass index groups for women in Europe, North America, and Oceania
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Public Health Epidemiologie, Circulatory Health, Child Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, JC onderzoeksprogramma Infectieziekten, 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 J J M, 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 I A, Standl, Marie, Stanislawski, Maggie, Stoltenberg, Camilla, Thiering, Elisabeth, Thijs, Carel, Torrent, Maties, Tough, Suzanne C, Trnovec, Tomas, van Gelder, Marleen M H J, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja G M, Zvinchuk, Oleksandr, van Buuren, Stef, Jaddoe, Vincent W V, Public Health Epidemiologie, Circulatory Health, Child Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, JC onderzoeksprogramma Infectieziekten, 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 J J M, 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 I A, Standl, Marie, Stanislawski, Maggie, Stoltenberg, Camilla, Thiering, Elisabeth, Thijs, Carel, Torrent, Maties, Tough, Suzanne C, Trnovec, Tomas, van Gelder, Marleen M H J, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja G M, Zvinchuk, Oleksandr, van Buuren, Stef, and Jaddoe, Vincent W V
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- 2018
30. Gestational hypertensive disorders and retinal microvasculature: the Generation R Study.
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Benschop, Laura, Schalekamp-Timmermans, Sarah, Roeters van Lennep, Jeanine E., Jaddoe, Vincent W. V., Tien Yin Wong, Cheung, Carol Y., Steegers, Eric A. P., Ikram, Kamran M., Wong, Tien Yin, and Ikram, M Kamran
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HYPERTENSION in pregnancy ,RETINAL blood vessels ,MATERNAL health ,CARDIOVASCULAR diseases risk factors ,PREECLAMPSIA ,DIAGNOSIS ,PATIENTS ,THERAPEUTICS ,BLOOD pressure ,BLOOD vessels ,LONGITUDINAL method ,RESEARCH funding ,RETINA - Abstract
Background: Changes in the microvasculature associated with pre-eclampsia and gestational hypertension have been proposed as a potential pathway in the development of cardiovascular disease. We examined whether gestational hypertensive disorders, such as pre-eclampsia and gestational hypertension, are related to the maternal retinal microvasculature status after pregnancy.Methods: This study is part of an ongoing population-based prospective cohort study. During pregnancy and 6.2 years after the index pregnancy (90% range 5.7-7.4 years), we examined 3391 women with available information on pre-eclampsia, gestational hypertension, and retinal vascular calibers. Retinal arteriolar and venular calibers were measured in the left eye from digitized retinal photographs.Results: Women with pre-eclampsia had smaller retinal arteriolar calibers 6 years after pregnancy than women with a normotensive pregnancy (adjusted difference: -0.40 standard deviation score [SDS]; 95% confidence interval [CI]: -0.62, -0.19). For women with previous gestational hypertension, similar trends were observed (-0.20 SDS; 95% CI: -0.34, -0.05). With respect to retinal venular calibers, we did not observe consistent trends for women with previous pre-eclampsia. However, in women with previous gestational hypertension, we observed larger venular calibers (0.22 SDS; 95% CI: 0.07-0.36) than in women with a previous normotensive pregnancy. The association of gestational hypertensive disorders with retinal vessel calibers was mediated through mean arterial pressure at the time of retinal imaging.Conclusions: Compared to women with a previous normotensive pregnancy, women with pre-eclampsia and gestational hypertension show an altered status of the microvasculature 6 years after the index pregnancy. This is reflected by smaller retinal arteriolar calibers and wider retinal venular calibers. These microvascular changes may possibly contribute to the development of cardiovascular disease in later life. [ABSTRACT FROM AUTHOR]- Published
- 2017
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31. Sex-specific differences in fetal and infant growth patterns: a prospective populationbased cohort study.
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Broere-Brown, Zoe A., Baan, Esme, Schalekamp-Timmermans, Sarah, Verburg, Bero O., Jaddoe, Vincent W. V., and Steegers, Eric A. P.
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INFANT growth ,INFANT diseases ,INFANT health - Abstract
Background: The objective of this study was to assess whether sex-specific differences in fetal and infant growth exist. Methods: This study was embedded in the Generation R Study, a population-based prospective birth cohort. In total, 8556 live singleton births were included. Fetal growth was assessed by ultrasound. During the first trimester, crown-rump-length (CRL) was measured. In the second and third trimester of pregnancy head circumference (HC), abdominal circumference (AC) and femur length (FL) were assessed. Information on infant growth during the first 2 years of life was obtained from Community Health Centers and included HC, body weight and length. Results: In the first trimester, male CRL was larger than female CRL (0.12 SD [95% CI 0.03,0.22]). From the second trimester onwards, HC and AC were larger in males than in females (0.30 SD [95% CI 0.26,0.34] and 0. 09 SD [95% CI 0.05,0.014], respectively). However, FL in males was smaller compared to female fetuses (0.21 SD [95% CI 0.17,0.26]). Repeated measurement analyses showed a different prenatal as well as postnatal HC growth pattern between males and females. A different pattern in body weight was observed with a higher body weight in males until the age of 12 months where after females have a higher body weight. Conclusions: Sex affects both fetal as well as infant growth. Besides body size, also body proportions differ between males and females with different growth patterns. This sexual dimorphism might arise from differences in fetal programming with sex specific health differences as a consequence in later life. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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32. In utero origin of sex-related differences in future cardiovascular disease.
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Schalekamp-Timmermans, Sarah, Cornette, Jerome, Hofman, Albert, Helbing, Willem A., Jaddoe, Vincent W. V., Steegers, Eric A. P., and Verburg, Bero O.
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CARDIOVASCULAR disease diagnosis ,SEX differences (Biology) ,HEMODYNAMICS - Abstract
Background: There are sex differences in the risk of development of cardiovascular disease (CVD). According to the developmental origins of health and disease paradigm (DOHaD), CVD originates in fetal life. This study examines fetal sex differences in cardiovascular development in utero. Methods: In 1028 pregnant women, we assessed fetal circulation using pulsed wave Doppler examinations between 28 and 34 weeks gestation. To test associations between fetal sex and fetal circulation measurements, linear regression models were used adjusting for fetal size, gestational age, and fetal heart rate. Results: A higher pulsatility index in the ductus venosus was observed in male fetuses compared to female fetuses (difference 0.02, 95% CI 0.01; 0.05) with a lower E/A ratio of the tricuspid (difference -0.01, 95% CI -0.03; -0.00) and mitral (difference -0.02, 95% CI -0.03; -0.01) valves. This was mainly determined by differences in the E wave of the tricuspid and mitral valves (differences -1.02, 95% CI -1.81; -0.24 and -1.28, 95% CI -2.11; -0.46, respectively). Also in males, a lower peak systolic velocity was seen in the pulmonary artery (difference -1.33, 95% CI -2.63; -0.03) with a similar lower trend regarding peak systolic velocity in the ascending aorta. Conclusions: Male fetuses exhibit an increased preload and reduced afterload conditions compared to females. While it is difficult to relate these measurements to exact cardiac function, our findings strongly suggest that the known differences in cardiovascular performance between the sexes already start in utero. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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33. Ethnic differences in prevalence and risk factors for hypertension in the Suriname Health Study: a cross sectional population study.
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Krishnadath, Ingrid S. K., Jaddoe, Vincent W. V., Nahar-van Venrooij, Lenny M., and Toelsie, Jerry R.
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HYPERTENSION risk factors , *CONFIDENCE intervals , *CROSS-sectional method , *ANTHROPOMETRY , *HISPANIC Americans , *BLACK people , *CREOLES , *PHYSICAL activity , *DISEASE prevalence , *CHI-squared test , *RESEARCH funding , *BODY mass index , *ODDS ratio , *WHITE people , *SECONDARY analysis - Abstract
Background: Limited information is available about the prevalence, ethnic disparities, and risk factors of hypertension within developing countries. We used data from a nationwide study on non-communicable disease (NCD) risk factors to estimate, explore, and compare the prevalence of hypertension overall and in subgroups of risk factors among different ethnic groups in Suriname. Method: The Suriname Health Study used the World Health Organization Steps design to select respondents with a stratified multistage cluster sample of households. The overall and ethnic specific prevalences of hypertension were calculated in general and in subgroups of sex, age, marital status, educational level, income status, employment, smoking status, residence, physical activity, body mass index (BMI), and waist circumference (WC). Differences in the prevalence between ethnic subgroups were assessed using the Chi-square test. We used several adjustment models to explore whether the observed ethnic differences were explained by biological, demographic, lifestyle, or anthropometric risk factors. Results: The prevalence of hypertension was 26.2 % (95 % confidence interval 25.1 %-27.4 %). Men had higher mean values for systolic and diastolic blood pressure compared to women. Blood pressure increased with age. The prevalence was highest for Creole, Hindustani, and Javanese and lowest for Amerindians, Mixed, and Maroons. Differences between ethnic groups were measured in the prevalence of hypertension in subcategories of sex, marital status, education, income, smoking, physical activity, and BMI. The major difference in association of ethnic groups with hypertension was between Hindustani and Amerindians. Conclusion: The prevalence of hypertension in Suriname was in the range of developing countries. The highest prevalence was found in Creoles, Hindustani, and Javanese. Differences in the prevalence of hypertension were observed between ethnic subgroups with biological, demographic, lifestyle, and anthropometric risk factors. These findings emphasize the need for ethnic-specific research and prevention and intervention programs. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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34. Associations of genetic risk scores based on adult adiposity pathways with childhood growth and adiposity measures.
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Monnereau, Claire, Vogelezang, Suzanne, Kruithof, Claudia J., Jaddoe, Vincent W. V., and Felix, Janine F.
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OBESITY ,GROWTH of children ,BODY mass index ,REGRESSION analysis ,MEMBRANE proteins ,HOMEOSTASIS - Abstract
Background: Results from genome-wide association studies (GWAS) identified many loci and biological pathways that influence adult body mass index (BMI). We aimed to identify if biological pathways related to adult BMI also affect infant growth and childhood adiposity measures. Methods: We used data from a population-based prospective cohort study among 3,975 children with a mean age of 6 years. Genetic risk scores were constructed based on the 97 SNPs associated with adult BMI previously identified with GWAS and on 28 BMI related biological pathways based on subsets of these 97 SNPs. Outcomes were infant peak weight velocity, BMI at adiposity peak and age at adiposity peak, and childhood BMI, total fat mass percentage, android/ gynoid fat ratio, and preperitoneal fat area. Analyses were performed using linear regression models. Results: A higher overall adult BMI risk score was associated with infant BMI at adiposity peak and childhood BMI, total fat mass, android/gynoid fat ratio, and preperitoneal fat area (all p-values < 0.05). Analyses focused on specific biological pathways showed that the membrane proteins genetic risk score was associated with infant peak weight velocity, and the genetic risk scores related to neuronal developmental processes, hypothalamic processes, cyclicAMP, WNT-signaling, membrane proteins, monogenic obesity and/or energy homeostasis, glucose homeostasis, cell cycle, and muscle biology pathways were associated with childhood adiposity measures (all p-values <0.05). None of the pathways were associated with childhood preperitoneal fat area. Conclusions: A genetic risk score based on 97 SNPs related to adult BMI was associated with peak weight velocity during infancy and general and abdominal fat measurements at the age of 6 years. Risk scores based on genetic variants linked to specific biological pathways, including central nervous system and hypothalamic processes, influence body fat development from early life onwards. [ABSTRACT FROM AUTHOR]
- Published
- 2016
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35. Longitudinal association between preschool fussy eating and body composition at 6 years of age: The Generation R Study.
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de Barse, Lisanne M., Tiemeier, Henning, Leermakers, Elisabeth T. M., Voortman, Trudy, Jaddoe, Vincent W. V., Edelson, Lisa R., Franco, Oscar H., and Jansen, Pauline W.
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BODY composition ,CONFIDENCE intervals ,FOOD habits ,LONGITUDINAL method ,MEDICAL cooperation ,PROBABILITY theory ,QUESTIONNAIRES ,REGRESSION analysis ,RESEARCH ,RESEARCH funding ,SCALE analysis (Psychology) ,MATHEMATICAL variables ,MULTIPLE regression analysis ,SECONDARY analysis ,SOCIOECONOMIC factors ,BONE density ,BODY mass index ,LEAN body mass ,DATA analysis software ,DESCRIPTIVE statistics ,PHOTON absorptiometry ,ODDS ratio ,CHILDREN - Abstract
Background: Children's fussy eating behavior has been related to both underweight and overweight in cross-sectional studies, but the direction of these associations and the relation with more detailed measures of body composition remains unclear. We aimed to examine whether fussy eating at age 4 years is longitudinally related to body mass index (BMI), fat mass index (FMI) and fat-free mass index (FFMI) at 6 years of age. Methods: This study was embedded in Generation R, a population-based, prospective cohort. Data were available for 4191 children. The Children's Eating Behaviour Questionnaire (CEBQ), administered at age 4 years, was used to derive a fussy eating profile. This profile is characterized by high scores on food avoidant scales and low scores on food approach scales. At age 6 years, height and weight were measured at our research center. Body fat and fat-free mass were measured using Dual-energy-X-ray absorptiometry. We used age- and sex-specific standard deviation scores (SDS) for all outcomes. Results: After adjustment for confounders, the fussy eating profile was related to lower BMI-SDS (B = -0.37, 95 % CI: -0.47;-0.26), lower FMI-SDS (B = -0.22, 95 % CI: -0.33;-0.12) and lower FFMI-SDS (B = -0.41, 95 % CI: -0.54;-0.29). When adjusting for baseline BMI at 4 years, the fussy eating profile predicted a 0.11 lower BMI-SDS at age 6 (95 % CI: -0.19;-0.04). This change in BMI was mainly due to a decrease in FFMI (B = -0.19, 95 % CI: -0.29;-0.09). Fussy eaters also had a higher risk of becoming underweight than non-fussy eaters (OR = 2.28, 95 % CI: 1.34;3.87). Conclusions: Our findings suggest that young fussy eaters are at risk of having a lower fat free mass and of becoming underweight over a 2-year period. This implies that fussy eaters may benefit from careful monitoring to prevent an adverse growth development. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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36. Sugar-containing beverage intake at the age of 1 year and cardiometabolic health at the age of 6 years: the Generation R Study.
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Leermakers, Elisabeth T. M., Felix, Janine F., Jaddoe, Vincent W. V., Raat, Hein, Franco, Oscar H., and Kiefte- de Jong, Jessica C.
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BEVERAGES ,BLOOD pressure ,CAREGIVERS ,CONFIDENCE intervals ,DIET ,HEART ,LONGITUDINAL method ,METABOLISM ,QUESTIONNAIRES ,SEX distribution ,CAUSAL models ,DATA analysis software ,DESCRIPTIVE statistics ,ODDS ratio ,DIETARY sucrose - Abstract
Background: Consumption of sugar-containing beverages (SCBs) in adults has been associated with an increased risk of metabolic syndrome. Although the effect of SCB on body weight in children is well established, little is known about the cardiometabolic effects in young children. We studied the associations of SCB intake at the age of 1 year with cardiometabolic health at age 6 years. Methods: This study was performed among 2,045 Dutch children from a population based prospective birth cohort. SCB intake was assessed with a semi-quantitative food frequency questionnaire at the age of 13 months and sex-specific tertiles were created. Children visited the research center at the age of 6 years. We created a continuous cardiometabolic risk factor score including: body fat percentage, blood pressure, insulin, HDL-cholesterol and triglycerides. Age-and sex-specific standard deviation (SD) scores were created for all outcomes. Multivariable linear regression was performed with adjustment for socio-demographic and lifestyle variables of mother and child. Results: In the total population, we observed an association between higher SCB intake at 13 months of age and a higher cardiometabolic risk factor score at the age of 6 years (0.13SD (95 % CI 0.01; 0.25), highest vs. lowest tertile) After stratification by sex, we found that boys in the highest tertile of SCB intake had a higher cardiometabolic risk factor score (0.18 SD (95 % CI 0.01; 0.34)), as compared to boys in the lowest tertile of SCB intake. There was no significant association in girls. We did not find associations of SCB intake with the individual cardiometabolic risk factors in the total population, or in the stratified analyses. Conclusion: Higher SCB intake at 1 year of age was associated with a higher cardiometabolic risk factor score at age 6 years in boys, but not in girls. Further research on sex-specific effects of SCBs is needed. [ABSTRACT FROM AUTHOR]
- Published
- 2015
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37. Prenatal parental tobacco smoking, gene specific DNA methylation, and newborns size: the Generation R study.
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Bouwland-Both, Marieke I., van Mil, Nina H., Tolhoek, Catharina P., Stolk, Lisette, Eilers, Paul H. C., Verbiest, Michael M. P. J., Heijmans, Bastiaan T., Uitterlinden, André G., Hofman, Albert, van Ijzendoorn, Marinus H., Duijts, Liesbeth, de Jongste, Johan C., Tiemeier, Henning, Steegers, Eric A. P., Jaddoe, Vincent W. V., and Steegers-Theunissen, Régine P. M.
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- 2015
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38. Social inequalities in young children’s sports participation and outdoor play.
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Wijtzes, Anne I., Jansen, Wilma, Bouthoorn, Selma H., Pot, Niek, Hofman, Albert, Jaddoe, Vincent W. V., and Raat, Hein
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ATTITUDE (Psychology) ,CHI-squared test ,CONFIDENCE intervals ,ETHNIC groups ,GROUP identity ,LONGITUDINAL method ,PLAY ,PROBABILITY theory ,QUESTIONNAIRES ,RESEARCH funding ,STATISTICS ,LOGISTIC regression analysis ,DATA analysis ,MULTIPLE regression analysis ,SOCIOECONOMIC factors ,SPORTS participation ,CROSS-sectional method ,DATA analysis software ,DESCRIPTIVE statistics ,ODDS ratio - Abstract
Background Research on social inequalities in sports participation and unstructured physical activity among young children is scarce. This study aimed to assess the associations of family SEP and ethnic background with children’s sports participation and outdoor play. Methods We analyzed data from 4726 ethnically diverse 6-year-old children participating in the Generation R Study. Variables were assessed by parent-reported questionnaires when the child was 6 years old. Low level of outdoor play was defined as outdoor play <1 hour per day. Series of multiple logistic regression analyses were performed to assess associations of family socioeconomic position (SEP) and ethnic background with children’s sports participation and outdoor play. Results Socioeconomic inequalities in children’s sports participation were found when using maternal educational level (p < 0.05), paternal educational level (p < 0.05), maternal employment status (p < 0.05), and household income (p < 0.05) as family SEP indicator (less sports participation among low SEP children). Socioeconomic inequalities in children’s outdoor play were found when using household income only (p < 0.05) (more often outdoor play <1 hour per day among children from low income household). All ethnic minority children were significantly more likely to not to participate in sports and play outdoor <1 hour per day compared with native Dutch children. Adjustment for family SEP attenuated associations considerably, especially with respect to sports participation. Conclusion Low SEP children and ethnic minority children are more likely not to participate in sports and more likely to display low levels of outdoor play compared with high SEP children and native Dutch children, respectively. In order to design effective interventions, further research, including qualitative studies, is needed to explore more in detail the pathways relating family SEP and ethnic background to children’s sports participation and outdoor play. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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39. Sedentary behaviors, physical activity behaviors, and body fat in 6-year-old children: the Generation R Study.
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Wijtzes, Anne I., Bouthoorn, Selma H., Jansen, Wilma, Franco, Oscar H., Hofman, Albert, Jaddoe, Vincent W. V., and Raat, Hein
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ADIPOSE tissues ,ANALYSIS of variance ,ANTHROPOMETRY ,CHI-squared test ,CONFIDENCE intervals ,STATISTICAL correlation ,REGRESSION analysis ,RESEARCH funding ,STATISTICS ,LOGISTIC regression analysis ,SOCIOECONOMIC factors ,SPORTS participation ,CROSS-sectional method ,SEDENTARY lifestyles ,PHYSICAL activity ,DATA analysis software ,DESCRIPTIVE statistics ,PHOTON absorptiometry ,ODDS ratio - Abstract
Background Childhood overweight and obesity is a major public health concern. Knowledge on modifiable risk factors is needed to design effective intervention programs. This study aimed to assess associations of children’s sedentary behaviors (television viewing and computer game use) and physical activity behaviors (sports participation, outdoor play, and active transport to/from school) with three indicators of body fat, i.e., percent fat mass, body mass index (BMI) standard deviation scores, and weight status (normal weight, overweight). Methods Cross-sectional data from 5913 6-year-old ethnically diverse children were analyzed. Children’s weight and height were objectively measured and converted to BMI. Weight status was defined according to age- and sex-specific cut-off points of the International Obesity Task Force. BMI standard deviation scores were created, based on Dutch reference growth curves. Fat mass was measured my dual-energy X-ray absorptiometry (DXA). Sedentary and physical activity behaviors were assessed by parent-reported questionnaires. Series of logistic and linear regression analyses were performed, controlling for confounders (i.e., socio-demographic factors, family lifestyle factors, and other sedentary behaviors and physical activity behaviors). Results Sports participation was inversely associated with fat mass (p < 0.001), even after adjustment for socio-demographic factors, family lifestyle factors, and other sedentary behaviors and physical activity behaviors. No other independent associations were observed. Conclusions The results of this study indicate that sports participation is inversely associated with percent body fat among ethnically diverse 6-year-old children. More research in varied populations including objective measurements and longitudinal designs are needed to confirm these current results. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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40. The role of early life factors in the development of ethnic differences in growth and overweight in preschool children: a prospective birth cohort.
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van Rossem, Lenie, Hafkamp-de Groen, Esther, Jaddoe, Vincent WV, Hofman, Albert, Mackenbach, Johan P, and Raat, Hein
- Abstract
Background: Ethnic differences in childhood and adulthood are known, but ethnic differences in preschool overweight and associated factors are less studied. We assessed ethnic differences in pre-school age overweight, and studied the mediating role of early life factors in this association. Furthermore, we assessed body mass index (BMI) z-score development from birth to age 4 years to study ethnic-specific differences in BMI z-score trajectory. Methods: We used data on 4581 children participating in a birth cohort who were born between 2002 and 2006 in Rotterdam, the Netherlands. Child’s ethnicity was defined according to country of birth of the parents. Weight and length/height was repeatedly measured between 1 and 45 months of age. Overweight at age 4 years was defined according to cut-off points for BMI from the international obesity task force. We performed logistic regression to obtain independent estimates of the association between ethnicity and preschool-age overweight, and to assess the mediating role of early life risk factors. Mixed models were used to describe BMI-z development for each ethnic group from birth to preschool age. Results: Relative to native Dutch children, non-Dutch children were more likely to be overweight at age 4 years, except for Surinamese-Hindustani children. Socio-demographic factors, parental BMI, and infant weight change in the first 6 months after birth reduced associations. After full adjustment, Turkish (OR: 2.02, 95% CI: 1.34-3.04) and Antillean/Surinamese Creole (OR: 1.78, 95% CI: 1.06-3.02) children were still more likely to be overweight at age 4 years. Conclusion: Ethnic differences on the prevalence of overweight in preschool children can be partially explained by maternal educational level, parental overweight and early infant weight change. These may be possible targets to reduce ethnic inequalities in preschool age overweight. [ABSTRACT FROM AUTHOR]
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- 2014
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- View/download PDF
41. Television viewing through ages 2-5 years and bullying involvement in early elementary school.
- Author
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Verlinden, Marina, Tiemeier, Henning, Veenstra, René, Mieloo, Cathelijne L., Jansen, Wilma, Jaddoe, Vincent W. V., Raat, Hein, Hofman, Albert, Verhulst, Frank C., and Jansen, Pauline W.
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BULLYING ,ELEMENTARY schools ,BEHAVIOR disorders in children ,SOCIODEMOGRAPHIC factors ,AGGRESSION (Psychology) in children - Abstract
Background High television exposure time at young age has been described as a potential risk factor for developing behavioral problems. However, less is known about the effects of preschool television on subsequent bullying involvement. We examined the association between television viewing time through ages 2-5 and bullying involvement in the first grades of elementary school. We hypothesized that high television exposure increases the risk of bullying involvement. Method TV viewing time was assessed repeatedly in early childhood using parental report. To combine these repeated assessments we used latent class analyses. Four exposure classes were identified and labeled "low", "mid-low", "mid-high" and "high". Bullying involvement was assessed by teacher questionnaire (n = 3423, mean age 6.8 years). Additionally, peer/self-report of bullying involvement was obtained using a peer nomination procedure (n = 1176, mean age 7.6 years). We examined child risk of being a bully, victim or a bully-victim (compared to being uninvolved in bullying). Results High television exposure class was associated with elevated risks of bullying and victimization. Also, in both teacher- and child-reported data, children in the high television exposure class were more likely to be a bully-victim (OR = 2.11, 95%CI: 1.42-3.13 and OR = 3.68, 95%CI: 1.75-7.74 respectively). However, all univariate effect estimates attenuated and were no longer statistically significant once adjusted for maternal and child confounders. Conclusions The association between television viewing time through ages 2-5 and bullying involvement in early elementary school is confounded by maternal and child socio-demographic characteristics. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
42. Toward an operative diagnosis of fussy/picky eating: a latent profile approach in a population-based cohort.
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Tharner, Anne, Jansen, Pauline W., Kiefte-de Jong, Jessica C., Moll, Henriette A., van der Ende, Jan, Jaddoe, Vincent W. V., Hofman, Albert, Tiemeier, Henning, and Franco, Oscar H.
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ANALYSIS of variance ,CHI-squared test ,STATISTICAL correlation ,FOOD habits ,LATENT structure analysis ,LONGITUDINAL method ,MULTIVARIATE analysis ,NUTRITION disorders in children ,QUESTIONNAIRES ,RESEARCH ,SCALE analysis (Psychology) ,BODY mass index ,DESCRIPTIVE statistics ,CHILDREN - Abstract
Background Definitions and assessment methods of fussy/picky eating are heterogeneous and remain unclear. We aimed to identify an eating behavior profile reflecting fussy/picky eating in children and to describe characteristics of fussy eaters. Methods Eating behavior was assessed with the Child Eating Behavior Questionnaire (CEBQ) in 4914 4-year olds in a population-based birth cohort study. Latent Profile Analysis (LPA) was used to identify eating behavior profiles based on CEBQ subscales. Results and discussion We found a "fussy" eating behavior profile (5.6% of children) characterized by high food fussiness, slowness in eating, and satiety responsiveness in combination with low enjoyment of food and food responsiveness. Fussy eaters were more often from families with low household income than non-fussy eaters (42% vs. 31.8% respectively; X² (1) = 9.97, p < .01). When they were 14 months old, fussy eaters had a lower intake of vegetables (t [3008] = 2.42, p < .05) and fish (t [169.77] = 2.40,p < .05) but higher intake of savory snacks (t [153.69] = -2.03, p < .05) and sweets (t [3008] = -2.30, p < .05) compared to non-fussy eaters. Also, fussy eaters were more likely to be underweight at 4 years of age (19.3%) than non-fussy eaters (12.3%; X² (1) = 7.71, p < .01). Conclusions A distinct fussy eating behavior profile was identified by LPA, which was related to family and child characteristics, food intake, and BMI. This behavior profile might be used in future research and the development of interventions. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
43. Differences in problem behaviour among ethnic minority and majority preschoolers in the Netherlands and the role of family functioning and parenting factors as mediators: the Generation R. Study.
- Author
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Flink, Ilse J. E., Jansen, Pauline W., Beirens, Tinneke M. J., Tiemeier, Henning, van IJzendoorn, Marinus H., Jaddoe, Vincent W. V., Hofman, Albert, and Raat, Hein
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PRESCHOOL children ,CHILDREN'S health ,PSYCHOLOGICAL stress ,MEDICAL care - Abstract
Background: Studies have shown that, compared to native counterparts, preschoolers from ethnic minorities are at an increased risk of problem behaviour. Socio-economic factors only partly explain this increased risk. This study aimed to further unravel the differences in problem behaviour among ethnic minority and native preschoolers by examining the mediating role of family functioning and parenting factors. Methods: We included 4,282 preschoolers participating in the Generation R Study, an ethnically-diverse cohort study with inclusion in early pregnancy. At child age 3 years, parents completed the Child Behavior Checklist (CBCL/1,5-5); information on demographics, socio-economic status and measures of family functioning (maternal psychopathology; general family functioning) and parenting (parenting stress; harsh parenting) were retrieved from questionnaires. CBCL Total Problems scores in each ethnic subgroup were compared with scores in the Dutch reference population. Mediation was evaluated using multivariate regression models. Results: After adjustment for confounders, preschoolers from ethnic minorities were more likely to present problem behaviour than the Dutch subgroup (e.g. CBCL Total Problems Turkish subgroup (OR 7.0 (95% CI 4.9; 10.1)). When considering generational status, children of first generation immigrants were worse off than the second generation (P<0.01). Adjustment for socio-economic factors mediated the association between the ethnic minority status and child problem behaviour (e.g. attenuation in OR by 54.4% (P<0.05) from OR 5.1 (95% CI 2.8; 9.4) to OR 2.9 (95% CI 1.5; 5.6) in Cape Verdean subgroup). However, associations remained significant in most ethnic subgroups. A final adjustment for family functioning and parenting factors further attenuated the association (e.g. attenuation in OR by 55.5% (P<0.05) from OR 2.2 (95% CI 1.3; 4.4) to OR 1.5 (95% CI 1.0; 2.4) in European other subgroup). Conclusions: This study showed that preschoolers from ethnic minorities and particularly children of first generation immigrants are at an increased risk of problem behaviour compared to children born to a Dutch mother. Although socio-economic factors were found to partly explain the association between the ethnic minority status and child problem behaviour, a similar part was explained by family functioning and parenting factors. Considering these findings, it is important for health care workers to also be attentive to symptoms of parental psychopathology (e.g. depression), poor family functioning, high levels of parenting stress or harsh parenting in first and second generation immigrants with young children. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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44. Predicting asthma in preschool children with asthma symptoms: study rationale and design.
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Hafkamp-de Groen, Esther, Lingsma, Hester F., Caudri, Daan, Wijga, Alet, Jaddoe, Vincent W. V., Steyerberg, Ewout W., de Jongste, Johan C., and Raat, Hein
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ASTHMA in children ,ASTHMATICS ,RESPIRATORY allergy ,PRESCHOOL children ,MULTICULTURALISM - Abstract
Background: In well-child care it is difficult to determine whether preschool children with asthma symptoms actually have or will develop asthma at school age. The PIAMA (Prevention and Incidence of Asthma and Mite Allergy) Risk Score has been proposed as an instrument that predicts asthma at school age, using eight easy obtainable parameters, assessed at the time of first asthma symptoms at preschool age. The aim of this study is to present the rationale and design of a study 1) to externally validate and update the PIAMA Risk Score, 2) to develop an Asthma Risk Appraisal Tool to predict asthma at school age in (specific subgroups of) preschool children with asthma symptoms and 3) to test implementation of the Asthma Risk Appraisal Tool in well-child care. Methods and design: The study will be performed within the framework of Generation R, a prospective multi-ethnic cohort study. In total, consent for postnatal follow-up was obtained from 7893 children, born between 2002 and 2006. At preschool age the PIAMA Risk Score will be assessed and used to predict asthma at school age. Discrimination (C-index) and calibration will be assessed for the external validation. We will study whether the predictive ability of the PIAMA Risk Score can be improved by removing or adding predictors (e.g. preterm birth). The (updated) PIAMA Risk Score will be converted to the Asthma Risk Appraisal Tool- to predict asthma at school age in preschool children with asthma symptoms. Additionally, we will conduct a pilot study to test implementation of the Asthma Risk Appraisal Tool in well-child care. Discussion: Application of the Asthma Risk Appraisal Tool in well-child care will help to distinguish preschool children at high- and low-risk of developing asthma at school age when asthma symptoms appear. This study will increase knowledge about the validity of the PIAMA risk score and might improve risk assessment of developing asthma at school age in (specific subgroups of) preschool children, who present with asthma symptoms at well-child care. [ABSTRACT FROM AUTHOR]
- Published
- 2012
- Full Text
- View/download PDF
45. Children's eating behavior, feeding practices of parents and weight problems in early childhood: results from the population-based Generation R Study.
- Author
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Jansen, Pauline W., Roza, Sabine J., Jaddoe, Vincent W. V., Mackenbach, Joreintje D., Raat, Hein, Hofman, Albert, Verhulst, Frank C., and Tiemeier, Henning
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ANALYSIS of variance ,ANTHROPOMETRY ,REGULATION of body weight ,CHI-squared test ,CHILD nutrition ,CONFIDENCE intervals ,STATISTICAL correlation ,EPIDEMIOLOGY ,FOOD habits ,MULTIVARIATE analysis ,PARENT-child relationships ,QUESTIONNAIRES ,RESEARCH funding ,SCALE analysis (Psychology) ,STATISTICS ,LOGISTIC regression analysis ,DATA analysis ,CROSS-sectional method ,DATA analysis software - Abstract
Background: Weight problems that arise in the first years of life tend to persist. Behavioral research in this period can provide information on the modifiable etiology of unhealthy weight. The present study aimed to replicate findings from previous small-scale studies by examining whether different aspects of preschooler's eating behavior and parental feeding practices are associated with body mass index (BMI) and weight status--including underweight, overweight and obesity- in a population sample of preschool children. Methods: Cross-sectional data on the Child Eating Behaviour Questionnaire, Child Feeding Questionnaire and objectively measured BMI was available for 4987 four-year-olds participating in a population-based cohort in the Netherlands. Results: Thirteen percent of the preschoolers had underweight, 8% overweight, and 2% obesity. Higher levels of children's Food Responsiveness, Enjoyment of Food and parental Restriction were associated with a higher mean BMI independent of measured confounders. Emotional Undereating, Satiety Responsiveness and Fussiness of children as well as parents' Pressure to Eat were negatively related with children's BMI. Similar trends were found with BMI categorized into underweight, normal weight, overweight and obesity. Part of the association between children's eating behaviors and BMI was accounted for by parental feeding practices (changes in effect estimates: 20-43%), while children's eating behaviors in turn explained part of the relation between parental feeding and child BMI (changes in effect estimates: 33-47%). Conclusions: This study provides important information by showing how young children's eating behaviors and parental feeding patterns differ between children with normal weight, underweight and overweight. The high prevalence of under- and overweight among preschoolers suggest prevention interventions targeting unhealthy weights should start early in life. Although longitudinal studies are necessary to ascertain causal directions, efforts to prevent or treat unhealthy child weight might benefit from a focus on changing the behaviors of both children and their parents. [ABSTRACT FROM AUTHOR]
- Published
- 2012
- Full Text
- View/download PDF
46. Air pollution, fetal and infant tobacco smoke exposure, and wheezing in preschool children: a population-based prospective birth cohort.
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Sonnenschein-van der Voort, Agnes M. M., de Kluizenaar, Yvonne, Jaddoe, Vincent W. V., Gabriele, Carmelo, Raat, Hein, Moll, Henri‰tte A., Hofman, Albert, Pierik, Frank H., Miedema, Henk M. E., de Jongste, Johan C., and Duijts, Liesbeth
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AIR pollution ,ASTHMA ,PARTICULATE matter ,RESPIRATORY allergy ,CARDIOPULMONARY system - Abstract
Background: Air pollution is associated with asthma exacerbations. We examined the associations of exposure to ambient particulate matter (PM
10 ) and nitrogen dioxide (NO2 ) with the risk of wheezing in preschool children, and assessed whether these associations were modified by tobacco smoke exposure. Methods: This study was embedded in the Generation R Study, a population-based prospective cohort study among 4,634 children. PM10 and NO2 levels were estimated for the home addresses using dispersion modeling. Annual parental reports of wheezing until the age of 3 years and fetal and infant tobacco smoke exposure was obtained by questionnaires. Results: Average annual PM10 or NO2 exposure levels per year were not associated with wheezing in the same year. Longitudinal analyses revealed non-significant tendencies towards positive associations of PM10 or NO2 exposure levels with wheezing during the first 3 years of life (overall odds ratios (95% confidence interval): 1.21 (0.79, 1.87) and 1.06 (0.92, 1.22)) per 10 µg/m2 increase PM10 and NO2 , respectively). Stratified analyses showed that the associations were stronger and only significant among children who were exposed to both fetal and infant tobacco smoke (overall odds ratios 4.54 (1.17, 17.65) and 1.85 (1.15, 2.96)) per 10 µg/m3 increase PM10 and NO2 , respectively (p-value for interactions <0.05). Conclusions: Our results suggest that long term exposure to traffic-related air pollutants is associated with increased risks of wheezing in children exposed to tobacco smoke in fetal life and infancy. Smoke exposure in early life might lead to increased vulnerability of the lungs to air pollution. [ABSTRACT FROM AUTHOR]- Published
- 2012
- Full Text
- View/download PDF
47. Early detection and counselling intervention of asthma symptoms in preschool children: study design of a cluster randomised controlled trial.
- Author
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Groen, Esther Hafkamp-de, Mohangoo, Ashna D., de Jongste, Johan C., van der Wouden, Johannes C., Moll, Henriëtte A., Jaddoe, Vincent W. V., Hofman, Albert, de Koning, Harry J., and Raat, Hein
- Subjects
PUBLIC health research ,CHILDREN'S health ,ASTHMA ,OBSTRUCTIVE lung diseases ,QUALITY of life - Abstract
Background: Prevention of childhood asthma is an important public health objective. This study evaluates the effectiveness of early detection of preschool children with asthma symptoms, followed by a counselling intervention at preventive child health centres. Early detection and counselling is expected to reduce the prevalence of asthma symptoms and improve health-related quality of life at age 6 years. Methods/design: This cluster randomised controlled trial was embedded within the Rotterdam population-based prospective cohort study Generation R in which 7893 children (born between April 2002 and January 2006) participated in the postnatal phase. Sixteen child health centres are involved, randomised into 8 intervention and 8 control centres. Since June 2005, an early detection tool has been applied at age 14, 24, 36 and 45 months at the intervention centres. Children who met the intervention criteria received counselling intervention (personal advice to parents to prevent smoke exposure of the child, and/or referral to the general practitioner or asthma nurse). The primary outcome was asthma diagnosis at age 6 years. Secondary outcomes included frequency and severity of asthma symptoms, health-related quality of life, fractional exhaled nitric oxide and airway resistance at age 6 years. Analysis was according to the intention-to-treat principle. Data collection will be completed end 2011. Discussion: This study among preschool children provides insight into the effectiveness of early detection of asthma symptoms followed by a counselling intervention at preventive child health centres. [ABSTRACT FROM AUTHOR]
- Published
- 2010
- Full Text
- View/download PDF
48. Glucocorticoid receptor gene polymorphisms do not affect growth in fetal and early postnatal life. The Generation R Study.
- Author
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Geelhoed, Miranda J. J., Steegers, Eric A. P., Koper, Jan W., van Rossum, Elisabeth F. C., Moll, Henriette A., Raat, Hein, Tiemeier, Henning, Hofman, Albert, and Jaddoe, Vincent W. V.
- Subjects
GLUCOCORTICOID receptors ,GENES ,GENETIC polymorphisms ,ANTHROPOMETRY ,POSTNATAL care - Abstract
Background: Glucocorticoids have an important role in early growth and development. Glucocorticoid receptor gene polymorphisms have been identified that contribute to the variability in glucocorticoid sensitivity. We examined whether these glucocorticoid receptor gene polymorphisms are associated with growth in fetal and early postnatal life. Methods: This study was embedded in a population-based prospective cohort study from fetal life onwards. The studied glucocorticoid receptor gene polymorphisms included BclI (rs41423247), TthIIII (rs10052957), GR-9β (rs6198), N363S (rs6195) and R23K (rs6789 and6190). Fetal growth was assessed by ultrasounds in second and third trimester of pregnancy. Anthropometric measurements in early childhood were performed at birth and at the ages of 6, 14 and 24 months postnatally. Analyses focused on weight, length and head circumference. Analyses were based on 2,414 healthy, Caucasian children. Results: Glucocorticoid receptor gene polymorphisms were not associated with fetal weight, birth weight and early postnatal weight. Also, no associations were found with length and head circumference. Neither were these polymorphisms associated with the risks of low birth weight or growth acceleration from birth to 24 months of age. Conclusions: We found in a large population-based cohort no evidence for an effect of known glucocorticoid receptor gene polymorphisms on fetal and early postnatal growth characteristics. Further systematic searches for common genetic variants by means of genome-wide association studies will enable us to obtain a more complete understanding of what genes and polymorphisms are involved in growth in fetal life and infancy. [ABSTRACT FROM AUTHOR]
- Published
- 2010
- Full Text
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49. Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age
- Author
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Merid, Simon Kebede, Novoloaca, Alexei, Sharp, Gemma C., Küpers, Leanne K., Kho, Alvin T., Roy, Ritu, Gao, Lu, Annesi-Maesano, Isabella, Jain, Pooja, Plusquin, Michelle, Kogevinas, Manolis, Allard, Catherine, Vehmeijer, Florianne O., Kazmi, Nabila, Salas, Lucas A., Rezwan, Faisal I., Zhang, Hongmei, Sebert, Sylvain, Czamara, Darina, Rifas-Shiman, Sheryl L., Melton, Phillip E., Lawlor, Debbie A., Pershagen, Göran, Breton, Carrie V., Huen, Karen, Baiz, Nour, Gagliardi, Luigi, Nawrot, Tim S., Corpeleijn, Eva, Perron, Patrice, Duijts, Liesbeth, Nohr, Ellen Aagaard, Bustamante, Mariona, Ewart, Susan L., Karmaus, Wilfried, Zhao, Shanshan, Page, Christian M., Herceg, Zdenko, Jarvelin, Marjo-Riitta, Lahti, Jari, Baccarelli, Andrea A., Anderson, Denise, Kachroo, Priyadarshini, Relton, Caroline L., Bergström, Anna, Eskenazi, Brenda, Soomro, Munawar Hussain, Vineis, Paolo, Snieder, Harold, Bouchard, Luigi, Jaddoe, Vincent W., Sørensen, Thorkild I. A., Vrijheid, Martine, Arshad, S. Hasan, Holloway, John W., Håberg, Siri E., Magnus, Per, Dwyer, Terence, Binder, Elisabeth B., DeMeo, Dawn L., Vonk, Judith M., Newnham, John, Tantisira, Kelan G., Kull, Inger, Wiemels, Joseph L., Heude, Barbara, Sunyer, Jordi, Nystad, Wenche, Munthe-Kaas, Monica C., Räikkönen, Katri, Oken, Emily, Huang, Rae-Chi, Weiss, Scott T., Antó, Josep Maria, Bousquet, Jean, Kumar, Ashish, Söderhäll, Cilla, Almqvist, Catarina, Cardenas, Andres, Gruzieva, Olena, Xu, Cheng-Jian, Reese, Sarah E., Kere, Juha, Brodin, Petter, Solomon, Olivia, Wielscher, Matthias, Holland, Nina, Ghantous, Akram, Hivert, Marie-France, Felix, Janine F., Koppelman, Gerard H., London, Stephanie J., and Melén, Erik
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3. Good health
50. Correction to: Gestational hypertensive disorders and retinal microvasculature: the Generation R Study.
- Author
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Benschop, Laura, Schalekamp-Timmermans, Sarah, Roeters van Lennep, Jeanine E, Jaddoe, Vincent W V, Wong, Tien Yin, Cheung, Carol Y, Steegers, Eric A P, and Ikram, M Kamran
- Subjects
HYPERTENSION ,PREGNANCY - Abstract
A correction is presented to the article "Gestational hypertensive disorders and retinal microvasculature: the Generation R Study" published in the periodical.
- Published
- 2017
- Full Text
- View/download PDF
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