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European Journal of Epidemiology

, Volume 27, Issue 9, pp 739–756 | Cite as

The Generation R Study: design and cohort update 2012

  • Vincent W. V. JaddoeEmail author
  • Cornelia M. van Duijn
  • Oscar H. Franco
  • Albert J. van der Heijden
  • Marinus H. van IIzendoorn
  • Johan C. de Jongste
  • Aad van der Lugt
  • Johan P. Mackenbach
  • Henriëtte A. Moll
  • Hein Raat
  • Fernando Rivadeneira
  • Eric A. P. Steegers
  • Henning Tiemeier
  • Andre G. Uitterlinden
  • Frank C. Verhulst
  • Albert Hofman
STUDY UPDATE

Abstract

The Generation R Study is a population-based prospective cohort study from fetal life until adulthood. The study is designed to identify early environmental and genetic causes and causal pathways leading to normal and abnormal growth, development and health during fetal life, childhood and adulthood. The study focuses on six areas of research: (1) maternal health; (2) growth and physical development; (3) behavioural and cognitive development; (4) respiratory health and allergies; (5) diseases in childhood; and (6) health and healthcare for children and their parents. Main exposures of interest include environmental, endocrine, genetic and epigenetic, lifestyle related, nutritional and socio-demographic determinants. In total, n = 9,778 mothers with a delivery date from April 2002 until January 2006 were enrolled in the study. Response at baseline was 61 %, and general follow-up rates until the age of 6 years exceed 80 %. Data collection in mothers, fathers and children include questionnaires, detailed physical and ultrasound examinations, behavioural observations, and biological samples. A genome and epigenome wide association screen is available in the participating children. From the age of 5 years, regular detailed hands-on assessments are performed in a dedicated research center including advanced imaging facilities such as Magnetic Resonance Imaging. Eventually, results forthcoming from the Generation R Study contribute to the development of strategies for optimizing health and healthcare for pregnant women and children.

Keywords

Cohort Pregnancy Child Fetal 

Notes

Acknowledgments

The Generation R Study is conducted by the Erasmus Medical Center in close collaboration with the School of Law and Faculty of Social Sciences of the Erasmus University Rotterdam, the Municipal Health Service Rotterdam area, Rotterdam, the Rotterdam Homecare Foundation, Rotterdam and the Stichting Trombosedienst & Artsenlaboratorium Rijnmond (STAR-MDC), Rotterdam. We gratefully acknowledge the contribution of children and parents, general practitioners, hospitals, midwives and pharmacies in Rotterdam. We thank Marjolein Kooijman, Claudia Kruithof, Natalia Loekabino, Patricia Maeijer, Ronald van den Nieuwenhof, and Karien Toebes for their study coordination. The general design of Generation R Study is made possible by financial support from the Erasmus Medical Center, Rotterdam, the Erasmus University Rotterdam, the Netherlands Organization for Health Research and Development (ZonMw), the Netherlands Organisation for Scientific Research (NWO), the Ministry of Health, Welfare and Sport. Vincent Jaddoe received an additional grant from the Netherlands Organization for Health Research and Development (ZonMw 907.00303, ZonMw 916.10159).

References

  1. 1.
    Hofman A, Jaddoe VW, Mackenbach JP, Moll HA, Snijders RF, Steegers EA, Verhulst FC, Witteman JC, Büller HA. Growth, development and health from early fetal life until young adulthood: the Generation R Study. Paediatr Perinat Epidemiol. 2004;18:61–72.PubMedCrossRefGoogle Scholar
  2. 2.
    Jaddoe VW, van Duijn CM, van der Heijden AJ, Mackenbach JP, Moll HA, Steegers EA, Tiemeier H, Uitterlinden AG, Verhulst FC, Hofman A. The Generation R Study: design and cohort update until the age of 4 years. Eur J Epidemiol. 2008;23(12):801–11.PubMedCrossRefGoogle Scholar
  3. 3.
    Jaddoe VW, van Duijn CM, van der Heijden AJ, Mackenbach JP, Moll HA, Steegers EA, Tiemeier H, Uitterlinden AG, Verhulst FC, Hofman A. The Generation R Study: design and cohort update 2010. Eur J Epidemiol. 2010;25(12):823–40.PubMedCrossRefGoogle Scholar
  4. 4.
    Jaddoe VW. Fetal nutritional origins of adult diseases: challenges for epidemiological research. Eur J Epidemiol. 2008;23(12):767–71.PubMedCrossRefGoogle Scholar
  5. 5.
    Geelhoed JJ, Jaddoe VW. Early influences on cardiovascular and renal development. Eur J Epidemiol. 2010;25(10):677–92.PubMedCrossRefGoogle Scholar
  6. 6.
    Bakker H, Jaddoe VW. Cardiovascular and metabolic influences of fetal smoke exposure. Eur J Epidemiol. 2011;26(10):763–70.PubMedCrossRefGoogle Scholar
  7. 7.
    Gluckman PD, Hanson MA, Cooper C, Thornburg KL. Effect of in utero and early-life conditions on adult health and disease. N Engl J Med. 2008;359(1):61–73.PubMedCrossRefGoogle Scholar
  8. 8.
    Adamsson Eryd S, Smith JG, Melander O, Hedblad B, Engstrom G. Inflammation-sensitive proteins and risk of atrial fibrillation: a population-based cohort study. Eur J Epidemiol. 2011;26(6):449–55.PubMedCrossRefGoogle Scholar
  9. 9.
    Alberts VP, Bos MJ, Koudstaal PJ, Hofman A, Witteman JC, Stricker BH, et al. Heart failure and the risk of stroke: the Rotterdam Study. Eur J Epidemiol. 2010;25(11):807–12.PubMedCrossRefGoogle Scholar
  10. 10.
    Bernstein AM, Rosner BA, Willett WC. Cereal fiber and coronary heart disease: a comparison of modeling approaches for repeated dietary measurements, intermediate outcomes, and long follow-up. Eur J Epidemiol. 2011;26(11):877–86.PubMedCrossRefGoogle Scholar
  11. 11.
    Borne Y, Engstrom G, Essen B, Sundquist J, Hedblad B. Country of birth and risk of hospitalization due to heart failure: a Swedish population-based cohort study. Eur J Epidemiol. 2011;26(4):275–83.PubMedCrossRefGoogle Scholar
  12. 12.
    Costanzo S, Di Castelnuovo A, Donati MB, Iacoviello L, de Gaetano G. Wine, beer or spirit drinking in relation to fatal and non-fatal cardiovascular events: a meta-analysis. Eur J Epidemiol. 2011;26(11):833–50.PubMedCrossRefGoogle Scholar
  13. 13.
    Daniel M, Paquet C, Auger N, Zang G, Kestens Y. Association of fast-food restaurant and fruit and vegetable store densities with cardiovascular mortality in a metropolitan population. Eur J Epidemiol. 2010;25(10):711–9.PubMedCrossRefGoogle Scholar
  14. 14.
    Faramawi MF, Caffrey JL, Amanzadeh J, Sharpa LD, Qualls-Hampton R. Cystatin C estimated renal dysfunction predicts T wave axis deviation in US adults: results from NHANES III. Eur J Epidemiol. 2011;26(2):101–7.PubMedCrossRefGoogle Scholar
  15. 15.
    Honjo K, Iso H, Inoue M, Tsugane S. Adult height and the risk of cardiovascular disease among middle aged men and women in Japan. Eur J Epidemiol. 2011;26(1):13–21.PubMedCrossRefGoogle Scholar
  16. 16.
    Jacobsen BK, Knutsen SF, Oda K, Fraser GE. Parity and total, ischemic heart disease and stroke mortality. the Adventist Health Study, 1976–1988. Eur J Epidemiol. 2011;26(9):711–8.PubMedCrossRefGoogle Scholar
  17. 17.
    Kardys I, Deckers JW, Stricker BH, Vletter WB, Hofman A, Witteman J. Distribution of echocardiographic parameters and their associations with cardiovascular risk factors in the Rotterdam Study. Eur J Epidemiol. 2010;25(7):481–90.PubMedCrossRefGoogle Scholar
  18. 18.
    Kataja-Tuomola M, Sundell J, Mannisto S, Virtanen MJ, Kontto J, Albanes D, et al. Short-term weight change and fluctuation as risk factors for type 2 diabetes in Finnish male smokers. Eur J Epidemiol. 2010;25(5):333–9.PubMedCrossRefGoogle Scholar
  19. 19.
    Lehto HR, Lehto S, Havulinna AS, Ketonen M, Lehtonen A, Kesaniemi YA, et al. Sex differences in short- and long-term case-fatality of myocardial infarction. Eur J Epidemiol. 2011;26(11):851–61.PubMedCrossRefGoogle Scholar
  20. 20.
    Lindman AS, Veierod MB, Tverdal A, Pedersen JI, Selmer R. Nonfasting triglycerides and risk of cardiovascular death in men and women from the Norwegian Counties Study. Eur J Epidemiol. 2010;25(11):789–98.PubMedCrossRefGoogle Scholar
  21. 21.
    Lindschou Hansen J, Tolstrup JS, Jensen MK, Gronbaek M, Tjonneland A, Schmidt EB, et al. Alcohol intake and risk of acute coronary syndrome and mortality in men and women with and without hypertension. Eur J Epidemiol. 2011;26(6):439–47.PubMedCrossRefGoogle Scholar
  22. 22.
    Marsh RW. Predicting cardiovascular events using three stage Discriminant Function is much more accurate than Framingham or QRISK. Eur J Epidemiol. 2011;26(12):915–8.PubMedCrossRefGoogle Scholar
  23. 23.
    Morkedal B, Romundstad PR, Vatten LJ. Informativeness of indices of blood pressure, obesity and serum lipids in relation to ischaemic heart disease mortality: the HUNT-II study. Eur J Epidemiol. 2011;26(6):457–61.PubMedCrossRefGoogle Scholar
  24. 24.
    Pan XQ, Zhang YH, Liu YY, Tong WJ. Interaction between the C(-344)T polymorphism of CYP11B2 and alcohol consumption on the risk of essential hypertension in a Chinese Mongolian population. Eur J Epidemiol. 2010;25(11):813–21.PubMedCrossRefGoogle Scholar
  25. 25.
    Qin L, Knol MJ, Corpeleijn E, Stolk RP. Does physical activity modify the risk of obesity for type 2 diabetes: a review of epidemiological data. Eur J Epidemiol. 2010;25(1):5–12.PubMedCrossRefGoogle Scholar
  26. 26.
    Schneider C, Bothner U, Jick SS, Meier CR. Chronic obstructive pulmonary disease and the risk of cardiovascular diseases. Eur J Epidemiol. 2010;25(4):253–60.PubMedCrossRefGoogle Scholar
  27. 27.
    Smith JG, Platonov PG, Hedblad B, Engstrom G, Melander O. Atrial fibrillation in the Malmo Diet and Cancer study: a study of occurrence, risk factors and diagnostic validity. Eur J Epidemiol. 2010;25(2):95–102.PubMedCrossRefGoogle Scholar
  28. 28.
    Sonestedt E, Wirfalt E, Wallstrom P, Gullberg B, Orho-Melander M, Hedblad B. Dairy products and its association with incidence of cardiovascular disease: the Malmo diet and cancer cohort. Eur J Epidemiol. 2011;26(8):609–18.PubMedCrossRefGoogle Scholar
  29. 29.
    Strandhagen E, Berg C, Lissner L, Nunez L, Rosengren A, Toren K, et al. Selection bias in a population survey with registry linkage: potential effect on socioeconomic gradient in cardiovascular risk. Eur J Epidemiol. 2010;25(3):163–72.PubMedCrossRefGoogle Scholar
  30. 30.
    Yetkin E. Increased risk of stroke after the diagnosis of heart failure: is it a paradox of initiating heart failure treatment? Eur J Epidemiol. 2011;26(5):429–30.PubMedCrossRefGoogle Scholar
  31. 31.
    Zhang HL, Yang Y, Wu J. Can prevalence of apolipoprotein E epsilon 4 allele explain the geographical variation of coronary heart disease mortality rates in Western Europe? Eur J Epidemiol. 2010;25(12):897–8.PubMedCrossRefGoogle Scholar
  32. 32.
    Alatupa S, Pulkki-Raback L, Hintsanen M, Ravaja N, Raitakari OT, Telama R, et al. School performance as a predictor of adulthood obesity: a 21-year follow-up study. Eur J Epidemiol. 2010;25(4):267–74.PubMedCrossRefGoogle Scholar
  33. 33.
    Altmaier E, Kastenmuller G, Romisch-Margl W, Thorand B, Weinberger KM, Illig T, et al. Questionnaire-based self-reported nutrition habits associate with serum metabolism as revealed by quantitative targeted metabolomics. Eur J Epidemiol. 2011;26(2):145–56.PubMedCrossRefGoogle Scholar
  34. 34.
    Beyerlein A, Ruckinger S, Toschke AM, Schaffrath RA, von Kries R. Is low birth weight in the causal pathway of the association between maternal smoking in pregnancy and higher BMI in the offspring? Eur J Epidemiol. 2011;26(5):413–20.PubMedCrossRefGoogle Scholar
  35. 35.
    Bot M, Spijkerman AM, Twisk JW, Verschuren WM. Weight change over five-year periods and number of components of the metabolic syndrome in a Dutch cohort. Eur J Epidemiol. 2010;25(2):125–33.PubMedCrossRefGoogle Scholar
  36. 36.
    Cerqueira C, Knudsen N, Ovesen L, Laurberg P, Perrild H, Rasmussen LB, et al. Doubling in the use of thyroid hormone replacement therapy in Denmark: association to iodization of salt? Eur J Epidemiol. 2011;26(8):629–35.PubMedCrossRefGoogle Scholar
  37. 37.
    Durmus B, Ay L, Hokken-Koelega AC, Raat H, Hofman A, Steegers EA, et al. Maternal smoking during pregnancy and subcutaneous fat mass in early childhood. The Generation R Study. Eur J Epidemiol. 2011;26(4):295–304.PubMedCrossRefGoogle Scholar
  38. 38.
    Engeland A, Bjorge T, Daltveit AK, Skurtveit S, Vangen S, Vollset SE, et al. Risk of diabetes after gestational diabetes and preeclampsia. A registry-based study of 230,000 women in Norway. Eur J Epidemiol. 2011;26(2):157–63.PubMedCrossRefGoogle Scholar
  39. 39.
    Ghasemi A, Zahediasl S, Azizi F. Nitric oxide and clustering of metabolic syndrome components in pediatrics. Eur J Epidemiol. 2010;25(1):45–53.PubMedCrossRefGoogle Scholar
  40. 40.
    Joseph J, Svartberg J, Njolstad I, Schirmer H. Risk factors for type 2 diabetes in groups stratified according to metabolic syndrome: a 10-year follow-up of the Tromso Study. Eur J Epidemiol. 2011;26(2):117–24.PubMedCrossRefGoogle Scholar
  41. 41.
    Kowall B, Rathmann W, Strassburger K, Heier M, Holle R, Thorand B, et al. Association of passive and active smoking with incident type 2 diabetes mellitus in the elderly population: the KORA S4/F4 cohort study. Eur J Epidemiol. 2010;25(6):393–402.PubMedCrossRefGoogle Scholar
  42. 42.
    Laaksonen MA, Knekt P, Rissanen H, Harkanen T, Virtala E, Marniemi J, et al. The relative importance of modifiable potential risk factors of type 2 diabetes: a meta-analysis of two cohorts. Eur J Epidemiol. 2010;25(2):115–24.PubMedCrossRefGoogle Scholar
  43. 43.
    Lagiou P, Samoli E, Lipworth L, Lagiou A, Fang F, Rossi M, et al. Energy intake during pregnancy in relation to offspring gender by maternal height. Eur J Epidemiol. 2011;26(1):39–44.PubMedCrossRefGoogle Scholar
  44. 44.
    Lehto SM, Ruusunen A, Niskanen L, Tolmunen T, Voutilainen S, Viinamaki H, et al. Elevated depressive symptoms and compositional changes in LDL particles in middle-aged men. Eur J Epidemiol. 2010;25(6):403–9.PubMedCrossRefGoogle Scholar
  45. 45.
    Liu G, Zhu H, Dong Y, Podolsky RH, Treiber FA, Snieder H. Influence of common variants in FTO and near INSIG2 and MC4R on growth curves for adiposity in African- and European-American youth. Eur J Epidemiol. 2011;26(6):463–73.PubMedCrossRefGoogle Scholar
  46. 46.
    Moebus S, Gores L, Losch C, Jockel KH. Impact of time since last caloric intake on blood glucose levels. Eur J Epidemiol. 2011;26(9):719–28.PubMedCrossRefGoogle Scholar
  47. 47.
    Montonen J, Drogan D, Joost HG, Boeing H, Fritsche A, Schleicher E, et al. Estimation of the contribution of biomarkers of different metabolic pathways to risk of type 2 diabetes. Eur J Epidemiol. 2011;26(1):29–38.PubMedCrossRefGoogle Scholar
  48. 48.
    Morseth B, Emaus N, Wilsgaard T, Jacobsen BK, Jorgensen L. Leisure time physical activity in adulthood is positively associated with bone mineral density 22 years later. The Tromso study. Eur J Epidemiol. 2010;25(5):325–31.PubMedCrossRefGoogle Scholar
  49. 49.
    Nagaya T, Yoshida H, Takahashi H, Kawai M. Heart rate-corrected QT interval in resting ECG predicts the risk for development of type-2 diabetes mellitus. Eur J Epidemiol. 2010;25(3):195–202.PubMedCrossRefGoogle Scholar
  50. 50.
    Schottker B, Raum E, Rothenbacher D, Muller H, Brenner H. Prognostic value of haemoglobin A1c and fasting plasma glucose for incident diabetes and implications for screening. Eur J Epidemiol. 2011;26(10):779–87.PubMedCrossRefGoogle Scholar
  51. 51.
    Schuur M, Henneman P, van Swieten JC, Zillikens MC, de Koning I, Janssens AC, et al. Insulin-resistance and metabolic syndrome are related to executive function in women in a large family-based study. Eur J Epidemiol. 2010;25(8):561–8.PubMedCrossRefGoogle Scholar
  52. 52.
    van Noord C, Dorr M, Sturkenboom MC, Straus SM, Reffelmann T, Felix SB, et al. The association of serum testosterone levels and ventricular repolarization. Eur J Epidemiol. 2010;25(1):21–8.PubMedCrossRefGoogle Scholar
  53. 53.
    Castello A, Rio I, Sandin-Vazquez M, Bolumar F. Shortening of gestational length among native-born and immigrants in Spain (1997–2008). Eur J Epidemiol. 2011;26(7):563–70.PubMedCrossRefGoogle Scholar
  54. 54.
    Feart C, Peres K, Samieri C, Letenneur L, Dartigues JF, Barberger-Gateau P. Adherence to a Mediterranean diet and onset of disability in older persons. Eur J Epidemiol. 2011;26(9):747–56.PubMedCrossRefGoogle Scholar
  55. 55.
    Fraga AM, Fraga GP, Stanley C, Costantini TW, Coimbra R. Children at danger: injury fatalities among children in San Diego County. Eur J Epidemiol. 2010;25(3):211–7.PubMedCrossRefGoogle Scholar
  56. 56.
    Heys M, Jiang C, Schooling CM, Zhang W, Cheng KK, Lam TH, et al. Is childhood meat eating associated with better later adulthood cognition in a developing population? Eur J Epidemiol. 2010;25(7):507–16.PubMedCrossRefGoogle Scholar
  57. 57.
    Huisman M, Araya R, Lawlor DA, Ormel J, Verhulst FC, Oldehinkel AJ. Cognitive ability, parental socioeconomic position and internalising and externalising problems in adolescence: findings from two European cohort studies. Eur J Epidemiol. 2010;25(8):569–80.PubMedCrossRefGoogle Scholar
  58. 58.
    Liu J, Blair SN, Teng Y, Ness AR, Lawlor DA, Riddoch C. Physical activity during pregnancy in a prospective cohort of British women: results from the Avon longitudinal study of parents and children. Eur J Epidemiol. 2011;26(3):237–47.PubMedCrossRefGoogle Scholar
  59. 59.
    Reuser M, Willekens FJ, Bonneux L. Higher education delays and shortens cognitive impairment: a multistate life table analysis of the US Health and Retirement Study. Eur J Epidemiol. 2011;26(5):395–403.PubMedCrossRefGoogle Scholar
  60. 60.
    Strand BH, Cooper R, Hardy R, Kuh D, Guralnik J. Lifelong socioeconomic position and physical performance in midlife: results from the British 1946 birth cohort. Eur J Epidemiol. 2011;26(6):475–83.PubMedCrossRefGoogle Scholar
  61. 61.
    Thomas S, Heinrich S, von Kries R, Radon K. Exposure to radio-frequency electromagnetic fields and behavioural problems in Bavarian children and adolescents. Eur J Epidemiol. 2010;25(2):135–41.PubMedCrossRefGoogle Scholar
  62. 62.
    Autenrieth CS, Baumert J, Baumeister SE, Fischer B, Peters A, Doring A, et al. Association between domains of physical activity and all-cause, cardiovascular and cancer mortality. Eur J Epidemiol. 2011;26(2):91–9.PubMedCrossRefGoogle Scholar
  63. 63.
    Behrens G, Leitzmann MF, Sandin S, Lof M, Heid IM, Adami HO, et al. The association between alcohol consumption and mortality: the Swedish women’s lifestyle and health study. Eur J Epidemiol. 2011;26(2):81–90.PubMedCrossRefGoogle Scholar
  64. 64.
    Bellocco R, Jia C, Ye W, Lagerros YT. Effects of physical activity, body mass index, waist-to-hip ratio and waist circumference on total mortality risk in the Swedish National March Cohort. Eur J Epidemiol. 2010;25(11):777–88.PubMedCrossRefGoogle Scholar
  65. 65.
    Berard E, Bongard V, Arveiler D, Amouyel P, Wagner A, Dallongeville J, et al. Ten-year risk of all-cause mortality: assessment of a risk prediction algorithm in a French general population. Eur J Epidemiol. 2011;26(5):359–68.PubMedCrossRefGoogle Scholar
  66. 66.
    Carlsson AC, Theobald H, Wandell PE. Health factors and longevity in men and women: a 26-year follow-up study. Eur J Epidemiol. 2010;25(8):547–51.PubMedCrossRefGoogle Scholar
  67. 67.
    Empana JP, Bean K, Guibout C, Thomas F, Bingham A, Pannier B, et al. Paris Prospective Study III: a study of novel heart rate parameters, baroreflex sensitivity and risk of sudden death. Eur J Epidemiol. 2011;26(11):887–92.PubMedCrossRefGoogle Scholar
  68. 68.
    Faeh D, Braun J, Tarnutzer S, Bopp M. Obesity but not overweight is associated with increased mortality risk. Eur J Epidemiol. 2011;26(8):647–55.PubMedCrossRefGoogle Scholar
  69. 69.
    Fedorowski A, Hedblad B, Melander O. Early postural blood pressure response and cause-specific mortality among middle-aged adults. Eur J Epidemiol. 2011;26(7):537–46.PubMedCrossRefGoogle Scholar
  70. 70.
    Kerneis S, Boelle PY, Grais RF, Pavillon G, Jougla E, Flahault A, et al. Mortality trends in systemic sclerosis in France and USA, 1980–1998: an age-period-cohort analysis. Eur J Epidemiol. 2010;25(1):55–61.PubMedCrossRefGoogle Scholar
  71. 71.
    Kjelsberg E, Laake P. Is the high mortality risk in sentenced offenders independent of previous imprisonment? Eur J Epidemiol. 2010;25(4):237–43.PubMedCrossRefGoogle Scholar
  72. 72.
    Kowall B, Rathmann W, Heier M, Giani G, Peters A, Thorand B, et al. Categories of glucose tolerance and continuous glycemic measures and mortality. Eur J Epidemiol. 2011;26(8):637–45.PubMedCrossRefGoogle Scholar
  73. 73.
    Kvamme JM, Wilsgaard T, Florholmen J, Jacobsen BK. Body mass index and disease burden in elderly men and women: the Tromso Study. Eur J Epidemiol. 2010;25(3):183–93.PubMedCrossRefGoogle Scholar
  74. 74.
    Mackenbach JP, Slobbe L, Looman CW, van der Heide A, Polder J, Garssen J. Sharp upturn of life expectancy in the Netherlands: effect of more health care for the elderly? Eur J Epidemiol. 2011;26(12):903–14.PubMedCrossRefGoogle Scholar
  75. 75.
    Neovius K, Rasmussen F, Sundstrom J, Neovius M. Forecast of future premature mortality as a result of trends in obesity and smoking: nationwide cohort simulation study. Eur J Epidemiol. 2010;25(10):703–9.PubMedCrossRefGoogle Scholar
  76. 76.
    Niedhammer I, Bourgkard E, Chau N, Lorhandicap Study G. Occupational and behavioural factors in the explanation of social inequalities in premature and total mortality: a 12.5-year follow-up in the Lorhandicap study. Eur J Epidemiol. 2011;26(1):1–12.PubMedCrossRefGoogle Scholar
  77. 77.
    Oksuzyan A, Crimmins E, Saito Y, O’Rand A, Vaupel JW, Christensen K. Cross-national comparison of sex differences in health and mortality in Denmark, Japan and the US. Eur J Epidemiol. 2010;25(7):471–80.PubMedCrossRefGoogle Scholar
  78. 78.
    Pedersen GS, Mortensen LH, Andersen AM. Ethnic variations in mortality in pre-school children in Denmark, 1973–2004. Eur J Epidemiol. 2011;26(7):527–36.PubMedCrossRefGoogle Scholar
  79. 79.
    Puddu PE, Menotti A, Tolonen H, Nedeljkovic S, Kafatos AG. Determinants of 40-year all-cause mortality in the European cohorts of the Seven Countries Study. Eur J Epidemiol. 2011;26(8):595–608.PubMedCrossRefGoogle Scholar
  80. 80.
    Regidor E, Astasio P, Ortega P, Martinez D, Calle ME, de la Fuente L. Healthy and unhealthy migrant effect on the mortality of immigrants from wealthy countries residing in Spain. Eur J Epidemiol. 2011;26(4):265–73.PubMedCrossRefGoogle Scholar
  81. 81.
    Savela S, Koistinen P, Tilvis RS, Strandberg AY, Pitkala KH, Salomaa VV, et al. Leisure-time physical activity, cardiovascular risk factors and mortality during a 34-year follow-up in men. Eur J Epidemiol. 2010;25(9):619–25.PubMedCrossRefGoogle Scholar
  82. 82.
    Tamakoshi K, Yatsuya H, Tamakoshi A, Group JS. Early age at menarche associated with increased all-cause mortality. Eur J Epidemiol. 2011;26(10):771–8.PubMedCrossRefGoogle Scholar
  83. 83.
    Tolonen H, Laatikainen T, Helakorpi S, Talala K, Martelin T, Prattala R. Marital status, educational level and household income explain part of the excess mortality of survey non-respondents. Eur J Epidemiol. 2010;25(2):69–76.PubMedCrossRefGoogle Scholar
  84. 84.
    Waller K, Kujala UM, Rantanen T, Kauppinen M, Silventoinen K, Koskenvuo M, et al. Physical activity, morbidity and mortality in twins: a 24-year prospective follow-up. Eur J Epidemiol. 2010;25(10):731–9.PubMedCrossRefGoogle Scholar
  85. 85.
    Wu SH, Liu Z, Ho SC. Metabolic syndrome and all-cause mortality: a meta-analysis of prospective cohort studies. Eur J Epidemiol. 2010;25(6):375–84.PubMedCrossRefGoogle Scholar
  86. 86.
    Ngo AD, Taylor R, Roberts CL. Paternal exposure to Agent Orange and spina bifida: a meta-analysis. Eur J Epidemiol. 2010;25(1):37–44.PubMedCrossRefGoogle Scholar
  87. 87.
    Risselada R, Lingsma HF, Bauer-Mehren A, Friedrich CM, Molyneux AJ, Kerr RS, et al. Prediction of 60 day case-fatality after aneurysmal subarachnoid haemorrhage: results from the International Subarachnoid Aneurysm Trial (ISAT). Eur J Epidemiol. 2010;25(4):261–6.PubMedCrossRefGoogle Scholar
  88. 88.
    Sellier E, Surman G, Himmelmann K, Andersen G, Colver A, Krageloh-Mann I, et al. Trends in prevalence of cerebral palsy in children born with a birthweight of 2,500 g or over in Europe from 1980 to 1998. Eur J Epidemiol. 2010;25(9):635–42.PubMedCrossRefGoogle Scholar
  89. 89.
    Wang A, Costello S, Cockburn M, Zhang X, Bronstein J, Ritz B. Parkinson’s disease risk from ambient exposure to pesticides. Eur J Epidemiol. 2011;26(7):547–55.PubMedCrossRefGoogle Scholar
  90. 90.
    Both MI, Overvest MA, Wildhagen MF, Golding J, Wildschut HI. The association of daily physical activity and birth outcome: a population-based cohort study. Eur J Epidemiol. 2010;25(6):421–9.PubMedCrossRefGoogle Scholar
  91. 91.
    Diouf I, Charles MA, Thiebaugeorges O, Forhan A, Kaminski M, Heude B, et al. Maternal weight change before pregnancy in relation to birthweight and risks of adverse pregnancy outcomes. Eur J Epidemiol. 2011;26(10):789–96.PubMedCrossRefGoogle Scholar
  92. 92.
    Greenwood DC, Alwan N, Boylan S, Cade JE, Charvill J, Chipps KC, et al. Caffeine intake during pregnancy, late miscarriage and stillbirth. Eur J Epidemiol. 2010;25(4):275–80.PubMedCrossRefGoogle Scholar
  93. 93.
    Gudmundsson P, Andersson S, Gustafson D, Waern M, Ostling S, Hallstrom T, et al. Depression in Swedish women: relationship to factors at birth. Eur J Epidemiol. 2011;26(1):55–60.PubMedCrossRefGoogle Scholar
  94. 94.
    Timmermans S, Bonsel GJ, Steegers-Theunissen RP, Mackenbach JP, Steyerberg EW, Raat H, et al. Individual accumulation of heterogeneous risks explains perinatal inequalities within deprived neighbourhoods. Eur J Epidemiol. 2011;26(2):165–80.PubMedCrossRefGoogle Scholar
  95. 95.
    Cnattingius S, Svensson T, Granath F, Iliadou A. Maternal smoking during pregnancy and risks of suicidal acts in young offspring. Eur J Epidemiol. 2011;26(6):485–92.PubMedCrossRefGoogle Scholar
  96. 96.
    Danziger PD, Silverwood R, Koupil I. Fetal growth, early life circumstances, and risk of suicide in late adulthood. Eur J Epidemiol. 2011;26(7):571–81.PubMedCrossRefGoogle Scholar
  97. 97.
    Slachtova H, Gehring U, Hoek G, Tomaskova H, Luttmann-Gibson H, Moshammer H, et al. Parental education and lung function of children in the PATY study. Eur J Epidemiol. 2011;26(1):45–54.PubMedCrossRefGoogle Scholar
  98. 98.
    Gimeno D, Delclos GL, Ferrie JE, De Vogli R, Elovainio M, Marmot MG, et al. Association of CRP and IL-6 with lung function in a middle-aged population initially free from self-reported respiratory problems: the Whitehall II study. Eur J Epidemiol. 2011;26(2):135–44.PubMedCrossRefGoogle Scholar
  99. 99.
    Centre for Research and Statistics, Rotterdam (COS). http://www.cos.rotterdam.nl; 2012.
  100. 100.
    Statistics Netherlands. Allochtonen in Nederland 2004. Voorburg/Heerlen: Statistics Netherlands; 2004.Google Scholar
  101. 101.
    Troe EJ, Raat H, Jaddoe VW, Hofman A, Looman CW, Moll HA, Steegers EA, Verhulst FC, Witteman JC, Mackenbach JP, The Generation R Study. Explaining differences in birthweight between ethnic populations. BJOG. 2007;114:1557–65.PubMedCrossRefGoogle Scholar
  102. 102.
    Silva LM, Jansen PW, Steegers EA, Jaddoe VW, Arends LR, Tiemeier H, Verhulst FC, Moll HA, Hofman A, Mackenbach JP, Raat H. Mother’s educational level and fetal growth: the genesis of health inequalities. Int J Epidemiol. 2010;39(5):1250–61.Google Scholar
  103. 103.
    Raat H, Wijtzes A, Jaddoe VW, Moll HA, Hofman A, Mackenbach JP. The health impact of social disadvantage in early childhood; the Generation R Study. Early Hum Dev. 2011;87(11):729–33.Google Scholar
  104. 104.
    Statistics Netherlands. Standaard Onderwijsindeling 2003. Voorburg/Heerlen: Statistics Netherlands; 2004.Google Scholar
  105. 105.
    Jacobsen TN, Nohr EA, Frydenberg M. Selection by socioeconomic factors into the Danish National Birth Cohort. Eur J Epidemiol. 2010;25(5):349–55.Google Scholar
  106. 106.
    Jaddoe VW, Bakker R, van Duijn CM, van der Heijden AJ, Lindemans J, Mackenbach JP, Moll HA, Steegers EA, Tiemeier H, Uitterlinden AG, Verhulst FC, Hofman A. The Generation R Study Biobank: a resource for epidemiological studies in children and their parents. Eur J Epidemiol. 2007;22:917–23.Google Scholar
  107. 107.
    Bergen NE, Jaddoe VW, Timmermans S, Hofman A, Lindemans J, Russcher H, Raat H, Steegers-Theunissen RP, Steegers EA. Homocysteine and folate concentrations in early pregnancy and the risk of adverse pregnancy outcomes: the Generation R Study. BJOG. 2012;119(6):739–51.Google Scholar
  108. 108.
    Steenweg-de Graaff J, Roza SJ, Steegers EA, Hofman A, Verhulst FC, Jaddoe VW, Tiemeier H. Maternal folate status in early pregnancy and child emotional and behavioral problems: the Generation R Study. Am J Clin Nutr. 2012;95(6):1413–21.Google Scholar
  109. 109.
    Coolman M, Timmermans S, de Groot CJ, Russcher H, Lindemans J, Hofman A, Geurts-Moespot AJ, Sweep FC, Jaddoe VV, Steegers EA. Angiogenic and fibrinolytic factors in blood during the first half of pregnancy and adverse pregnancy outcomes. Obstet Gynecol. 2012;119(6):1190–200.Google Scholar
  110. 110.
    Henrichs J, Bongers-Schokking JJ, Schenk JJ, Ghassabian A, Schmidt HG, Visser TJ, Hooijkaas H, de Muinck Keizer-Schrama SM, Hofman A, Jaddoe VV, Visser W, Steegers EA, Verhulst FC, de Rijke YB, Tiemeier H. Maternal thyroid function during early pregnancy and cognitive functioning in early childhood: the Generation R Study. J Clin Endocrinol Metab. 2010;95(9):4227–34.Google Scholar
  111. 111.
    Ernst GD, de Jonge LL, Hofman A, Lindemans J, Russcher H, Steegers EA, Jaddoe VW. C-reactive protein levels in early pregnancy, fetal growth patterns, and the risk for neonatal complications: the Generation R Study. Am J Obstet Gynecol. 2011;205(2):132.e1–12.Google Scholar
  112. 112.
    Rours GI, Verkooyen RP, Willemse HF, van der Zwaan EA, van Belkum A, de Groot R, Verbrugh HA, Ossewaarde JM. Use of pooled urine samples and automated DNA isolation to achieve improved sensitivity and cost-effectiveness of large-scale testing for Chlamydia trachomatis in pregnant women. R J Clin Microbiol. 2005;43:4684–90.Google Scholar
  113. 113.
    Rours GI, de Krijger RR, Ott A, Willemse HF, de Groot R, Zimmermann LJ, et al. Chlamydia trachomatis and placental inflammation in early preterm delivery. Eur J Epidemiol. 2011;26(5):421–8.Google Scholar
  114. 114.
    Rours GI, Duijts L, Moll HA, Arends LR, de Groot R, Jaddoe VW, Hofman A, Steegers EA, Mackenbach JP, Ott A, Willemse HF, van der Zwaan EA, Verkooijen RP, Verbrugh HA. Chlamydia trachomatis infection during pregnancy associated with preterm delivery: a population-based prospective cohort study. Eur J Epidemiol. 2011;26(6):493–502.Google Scholar
  115. 115.
    El Marroun H, Tiemeier H, Jaddoe VW, Hofman A, Verhulst FC, van den Brink W, Huizink AC. Agreement between maternal cannabis use during pregnancy according to self-report and urinalysis in a population-based cohort: the Generation R Study. Eur Addict Res. 2011;17(1):37–43.Google Scholar
  116. 116.
    Ye X, Pierik FH, Hauser R, Duty S, Angerer J, Park MM, Burdorf A, Hofman A, Jaddoe VW, Mackenbach JP, Steegers EA, Tiemeier H, Longnecker MP. Urinary metabolite concentrations of organophosphorous pesticides, bisphenol A, and phthalates among pregnant women in Rotterdam, the Netherlands: the Generation R Study. Environ Res. 2008;108:260–7.Google Scholar
  117. 117.
    Verburg BO, Steegers EA, De Ridder M, Snijders RJ, Smith E, Hofman A, Moll HA, Jaddoe VW, Witteman JC. New charts for ultrasound dating of pregnancy and assessment of fetal growth: longitudinal data from a population-based cohort study. Ultrasound Obstet Gynecol. 2008;31:388–96.Google Scholar
  118. 118.
    Gaillard R, de Ridder MA, Verburg BO, Witteman JC, Mackenbach JP, Moll HA, et al. Individually customised fetal weight charts derived from ultrasound measurements: the Generation R Study. Eur J Epidemiol. 2011;26(12):919–26.Google Scholar
  119. 119.
    Gaillard R, Steegers EA, Hofman A, Jaddoe VW. Second and third trimester placental haemodynamics and the risks of pregnancy complications. The Generation R Study. Am J Epidemiol. 2012 (In press).Google Scholar
  120. 120.
    Verburg BO, Jaddoe VW, Wladimiroff JW, Hofman A, Witteman JC, Steegers EA. Fetal hemodynamic adaptive changes related to intrauterine growth: the Generation R Study. Circulation. 2008;117:649–59.Google Scholar
  121. 121.
    Verburg BO, Geelhoed JJ, Steegers EA, Hofman A, Moll HA, Witteman JC, Jaddoe VW. Fetal kidney volume and its association with growth and blood flow in fetal life: the Generation R Study. Kidney Int. 2007;72:754–61.Google Scholar
  122. 122.
    Roza SJ, Steegers EA, Verburg BO, Jaddoe VW, Moll HA, Hofman A, Verhulst FC, Tiemeier H. What is spared by fetal brain-sparing? Fetal circulatory redistribution and behavioral problems in the general population. Am J Epidemiol. 2008;168(10):1145–52.Google Scholar
  123. 123.
    Coolman M, de Groot CJ, Jaddoe VW, Hofman A, Raat H, Steegers EA. Medical record validation of maternally reported history of preeclampsia. J Clin Epidemiol. 2010 Feb 26.Google Scholar
  124. 124.
    van Batenburg-Eddes T, de Groot L, Arends L, de Vries A, Moll HA, Steegers EA, Hofman A, Jaddoe VW, Verhulst FC, Tiemeier H. Does gestational duration within the normal range predict infant neuromotor development? Early Hum Dev. 2008;84:659–65.Google Scholar
  125. 125.
    Rijlaarsdam J, Stevens GW, van der Ende J, Arends LR, Hofman A, Jaddoe VW, Mackenbach JP, Verhulst FC, Tiemeier H. A brief observational instrument for the assessment of infant home environment: development and psychometric testing. Int J Methods Psychiatr Res. 2012;21(3):195–204.Google Scholar
  126. 126.
    Burgmeijer RJF, Merkx JAM. Pakket...En hoe pakt het uit: Ouder en Kindzorg tussen wetenschap en praktijk. Nederlands Congres Ouder en Kindzorg. Assen, the Netherlands: van Gorcum; 1999.Google Scholar
  127. 127.
    Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF- 36). I. Conceptual framework and item selection. Med Care 1992;30:473–83.Google Scholar
  128. 128.
    Lloyd-Jones DM, Hong Y, Labarthe D, Mozaffarian D, Appel LJ, Van Horn L, et al. Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association’s strategic Impact Goal through 2020 and beyond. Circulation. 2010;121(4):586–613.Google Scholar
  129. 129.
    Carver DJ, Chapman CA, Thomas VS, Stadnyk KJ, Rockwood K. Validity and reliability of the Medical Outcomes Study Short Form-20 questionnaire as a measure of quality of life in elderly people living at home. Age Ageing. 1999;28:169–74.Google Scholar
  130. 130.
    Israel AC, Roderick HA. A measure of the stability of family activities: an initial examination. Assessment. 2001;8(4):417–24.Google Scholar
  131. 131.
    De Brock AJLL, Vermulst AA, Gerris JRM, Abidin RR. Nijmeegse Ouderlijke Stress Index. Lisse 1992: Swets en Zeitlinger b.v.Google Scholar
  132. 132.
    Gerris JR, Boxtel DA, Vermulst AA, Janssens JM, van Zuthpen RA, Felling AJ. Parenting in Dutch families, University of Nijmegen, Institute of Family Studies, Nijmegen, The Netherlands; 1993.Google Scholar
  133. 133.
    Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression. Development of the 10 item Edinburgh Postnatal Depression Scale. Br J Psychiatry. 1987;150:782-6.Google Scholar
  134. 134.
    Derogatis LR, Melisaratos N. The brief symptom inventory: an introductory report. Psychol Med. 1983;13:595–605.Google Scholar
  135. 135.
    Epstein N, Baldwin L, Bishop D. The McMaster family assessment device. J Marital Fam Ther 1983;9(2):171–80.Google Scholar
  136. 136.
    van Rossem L, Oenema A, Steegers EA, Moll HA, Jaddoe VW, Hofman A, Mackenbach JP, Raat H. Are starting and continuing breastfeeding related to educational background? The Generation R Study. Pediatrics. 2009;123(6):e1017–27.Google Scholar
  137. 137.
    Duijts L, Jaddoe VW, Hofman A, Moll HA. Prolonged and exclusive breastfeeding reduces the risk of infectious diseases in infancy. Pediatrics. 2010;126:(1):e18–25.Google Scholar
  138. 138.
    Wardle J, Guthrie CA, Sanderson S, Rapoport LJ. Development of the Children’s Eating Behaviour Questionnaire. Child Psychol Psychiatry. 2001;42:963–70.Google Scholar
  139. 139.
    Landgraf JM, Maunsell E, Speechley KN, Bullinger M, Campbell S, Abetz L, et al. Canadian-French, German and UK versions of the Child Health Questionnaire: methodology and preliminary item scaling results. Qual Life Res. 1998;7(5):433–45.Google Scholar
  140. 140.
    van der Horst K, Oenema A, van de Looij-Jansen P, Brug J. The ENDORSE study: research into environmental determinants of obesity related behaviors in Rotterdam schoolchildren. BMC Public Health. 2008;8:142.Google Scholar
  141. 141.
    Birch LL, Fisher JO, Grimm-Thomas K, Markey CN, Sawyer R, Johnson SL. Confirmatory factor analysis of the Child Feeding Questionnaire: a measure of parental attitudes, beliefs and practices about child feeding and obesity proneness. Appetite. 2001;36(3):201–10.Google Scholar
  142. 142.
    Veldhuis L, Struijk MK, Kroeze W, Oenema A, Renders CM, Bulk-Bunschoten AM, et al. ‘Be active, eat right’, evaluation of an overweight prevention protocol among 5-year-old children: design of a cluster randomised controlled trial. BMC Public Health. 2009;9:177.Google Scholar
  143. 143.
    Owens J, Maxim R, McGuinn M, Nobile C, Msall M, Alario A. Television-viewing habits and sleep disturbance in school children. Pediatrics. 1999;104(3):e27.Google Scholar
  144. 144.
    Raat H, Botterweck AM, Landgraf JM, Hoogeveen WC, Essink-Bot ML. Reliability and validity of the short form of the child health questionnaire for parents (CHQ-PF28) in large random school based and general population samples. J Epidemiol Community Health. 2005;59:75–82.Google Scholar
  145. 145.
    Raat H, Mohangoo AD, Grootenhuis MA. Pediatric health-related quality of life questionnaires in clinical trials. Curr Opin Allergy Clin Immunol. 2006;6(3):180–5.Google Scholar
  146. 146.
    Raat H, Landgraf JM, Oostenbrink R, Moll HA, Essink-Bot ML. Reliability and validity of the infant and toddler quality of life questionnaire (ITQOL) in a general population and respiratory disease sample. Qual Life Res. 2007;16(3):445–60.Google Scholar
  147. 147.
    Raat H, van Rossem L, Jaddoe VW, Landgraf JM, Feeny D, Moll HA, Hofman A, Mackenbach JP. The Generation R Study: a candidate gene study and genome-wide association study (GWAS) on health-related quality of life (HRQOL) of mothers and young children. Qual Life Res. 2010;19(10):1439–46.Google Scholar
  148. 148.
    Duijts L, Jaddoe VW, Hofman A, Steegers EA, Mackenbach JP, de Jongste JC, Moll HA. Maternal smoking in prenatal and early postnatal life and the risk of respiratory tract infections in infancy. The Generation R Study. Eur J Epidemiol. 2008;23(8):547–55.Google Scholar
  149. 149.
    Jenkins MA, Clarke JR. Validation of a questionnaire and bronchial hyper-responsiveness against respiratory physician assessment in the diagnosis of asthma. Int J Epidemiol. 1996;25:609–16.Google Scholar
  150. 150.
    Asher MI, Keil U, Anderson HR, Beasley R, Crane J, Martinez F, et al. International study of asthma and allergies in childhood (ISAAC): rationale and methods. Eur Respir J. 1995;8(3):483–91.Google Scholar
  151. 151.
    Weiland SK, Bjorksten B, Brunekreef B, Cookson WO, von Mutius E, Strachan DP, et al. Phase II of the international study of asthma and allergies in childhood (ISAAC II): rationale and methods. Eur Respir J. 2004;24(3):406–12.Google Scholar
  152. 152.
    Flohr C, Weinmayr G, Weiland SK, Addo-Yobo E, Annesi-Maesano I, Bjorksten B, et al. How well do questionnaires perform compared with physical examination in detecting flexural eczema? Findings from the international study of asthma and allergies in childhood (ISAAC) phase two. Br J Dermatol. 2009;161(4):846–53.Google Scholar
  153. 153.
    Clark EM, Ness AR, Tobias JH. Bone fragility contributes to the risk of fracture in children, even after moderate and severe trauma. J Bone Miner Res. 2008;23(2):173–9.Google Scholar
  154. 154.
    van Beelen ME, Beirens TM, Struijk MK, den Hertog P, Oenema A, van Beeck EF, Raat H. BeSAFE’, effect-evaluation of internet-based, tailored safety information combined with personal counselling on parents’ child safety behaviours: study design of a randomized controlled trial. BMC Public Health. 2010;10:466. doi: 10.1186/1471-2458-10-466.
  155. 155.
    Rasquin A, Di Lorenzo C, Forbes D, Guiraldes E, Hyams JS, Staiano A, et al. Childhood functional gastrointestinal disorders: child/adolescent. Gastroenterology. 2006;130(5):1527–37.Google Scholar
  156. 156.
    Vogel I, Verschuure H, van der Ploeg CP, Brug J, Raat H. Estimating adolescent risk for hearing loss based on data from a large school-based survey. Am J Public Health. 2010;100(6):1095–100.Google Scholar
  157. 157.
    St James-Roberts I. Persistent crying in infancy. J Child Psychol Psychiatry. 1989;30(2):189–95.Google Scholar
  158. 158.
    van den Berg MP, van der Ende J, Crijnen AA, Jaddoe VW, Moll HA, Mackenbach JP, Hofman A, Hengeveld MW, Tiemeier H, Verhulst FC. Paternal depressive symptoms during pregnancy are related to excessive infant crying. Pediatrics. 2009;124(1):e96–103.Google Scholar
  159. 159.
    Gartstein MA, Rothbart MK. Studying infant temperament via the revised infant behavior questionnaire. Infant Behav Dev. 2003;26:64–86.Google Scholar
  160. 160.
    Putnam SP, Rothbart MK. Development of short and very short forms of the Children’s Behavior Questionnaire. J Pers Assess. 2006;87(1):102–12.Google Scholar
  161. 161.
    Kochanska G, DeVet K, Goldman M, Murray K, Putnam SP. Maternal reports of conscience development and temperament in young children. Child Dev. 1994;65(3):852–68.Google Scholar
  162. 162.
    Ireton H, Glascoe FP. Assessing children’s development using parents’ reports. The Child Development Inventory. Clin Pediatr. 1995;34:248–55.Google Scholar
  163. 163.
    St James-Roberts I, Wolke D. Differences between maternal and objective ratings of difficult neonatal behavioural style: implications for temperament research and clinical perspectives. J Reprod Infant Psychol. 1983;1:53–60.Google Scholar
  164. 164.
    St James-Roberts I, Wolke D. Convergences and discrepancies, among mothers’ and professionals’ assessments of difficult neonatal behaviour. J Child Psychol Psych All Discipl; 1989;29:21–42.Google Scholar
  165. 165.
    Achenbach TM. Manual for the child behavior checklist/4-18 and 1991 profile. Burlington: University of Vermont Department of Psychiatry; 1991.Google Scholar
  166. 166.
    Verhulst FC, Van der Ende J, Koot HM. Manual for the CBCL/4-18. Rotterdam, the Netherlands: Erasmus Universiteit/ Dept of Child and Adolescent Psychiatry, Sophia Children’s Hospital; 1996.Google Scholar
  167. 167.
    Walker LS, Garber SJ, van Slyke DA. Development and validation of the pain response inventory for children. Psychol Assess. 1997;9:392–405.Google Scholar
  168. 168.
    Wolff NJ, Darlington AS, Hunfeld JA, Verhulst FC, Jaddoe VW, Moll HA, Hofman A, Passchier J, Tiemeier H. The association of parent behaviors, chronic pain, and psychological problems with venipuncture distress in infants: the Generation R study. Health Psychol. 2009;28(5):605–13.Google Scholar
  169. 169.
    Perquin CW, Hazebroek-Kampschreur AA, Hunfeld JA, Bohnen AM, van Suijlekom-Smit LW, Passchier J, et al. Pain in children and adolescents: a common experience. Pain. 2000;87(1):51–8.Google Scholar
  170. 170.
    Fenson L, Dale PS, Reznick JS, Thal D, Bates E, Hartung JP. MacArthur communicative development inventories; user’s guide and technical manual. San Diego: Singular Publishing Group, Inc.; 1983.Google Scholar
  171. 171.
    Saudino KJ, Dale PS, Oliver B, Petrill SA, Richardson V, Rutter M, Simonoff E, Stevenson J, Plomin R. The validity of parent-based assessment of cognitive abilities of 2-year-olds. Br J Develop Psychol. 1998;16:349–363.Google Scholar
  172. 172.
    Isquith PK, Gioia GA, Espy KA. Executive function in preschool children: examination through everyday behavior. Dev Neuropsychol. 2004;26:403–22.Google Scholar
  173. 173.
    Goodman R. The strengths and difficulties questionnaire: a research note. J Child Psychol Psychiatry. 1997;38(5):581–6.Google Scholar
  174. 174.
    Constantino JN, Davis SA, Todd RD, Schindler MK, Gross MM, Brophy SL, et al. Validation of a brief quantitative measure of autistic traits: comparison of the social responsiveness scale with the autism diagnostic interview-revised. J Autism Dev Disord. 2003;33(4):427–33.Google Scholar
  175. 175.
    St James-Roberts I, Halil T. Infant crying patterns in the first year: normal community and clinical findings. J Child Psychol Psychiatry. 1991;32:951–968.Google Scholar
  176. 176.
    Hoekstra RA, Vinkhuyzen AA, Wheelwright S, Bartels M, Boomsma DI, Baron-Cohen S, et al. The construction and validation of an abridged version of the autism-spectrum quotient (AQ-Short). J Autism Dev Disord. 2011;41(5):589–96.Google Scholar
  177. 177.
    Parker JG, Low CM, Walker AR, Gamm BK. Friendship jealousy in young adolescents: individual differences and links to sex, self-esteem, aggression, and social adjustment. Dev Psychol. 2005;41(1):235–50.Google Scholar
  178. 178.
    Veldhuis L, Struijk MK, Kroeze W, Oenema A, Renders CM, Bulk-Bunschoten AM, Hirasing RA, Raat H. ‘Be active, eat right’, evaluation of an overweight prevention protocol among 5-year-old children: design of a cluster randomised controlled trial. BMC Public Health. 2009;9:177.Google Scholar
  179. 179.
    Wijtzes AI, Jansen W, Kamphuis CB, Jaddoe VW, Moll HA, Tiemeier H, Verhulst FC, Hofman A, Mackenbach JP, Raat H. Increased risk of exceeding entertainment-media guidelines in preschool children from low socioeconomic background: the Generation R Study. Prev Med. 2012. doi: 10.1016/j.ypmed.2012.07.023.
  180. 180.
    Ay L, Hokken-Koelega AC, Mook-Kanamori DO, Hofman A, Moll HA, Mackenbach JP, Witteman JC, Steegers EA, Jaddoe VW. Tracking and determinants of subcutaneous fat mass in early childhood: the Generation R Study. Int J Obes. 2008;32:1050–9.Google Scholar
  181. 181.
    Durmus B, Mook-Kanamori DO, Holzhauer S, Hofman A, van der Beek EM, Boehm G, Steegers EA, Jaddoe VW. Growth in foetal life and infancy is associated with abdominal adiposity at the age of 2 years: the Generation R Study. Clin Endocrinol (Oxf). 2010;72(5):633–40.Google Scholar
  182. 182.
    Roza SJ, Govaert PP, Vrooman HA, Lequin MH, Hofman A, Steegers EA, Moll HA, Jaddoe VW, Verhulst FC, Tiemeier H. Foetal growth determines cerebral ventricular volume in infants. The Generation R Study. Neuroimage. 2008;39(4):1491–8.Google Scholar
  183. 183.
    de Jonge LL, van Osch-Gevers L, Willemsen SP, Steegers EA, Hofman A, Helbing WA, Jaddoe VW. Growth, obesity, and cardiac structures in early childhood: the Generation R Study. Hypertension. 2011;57(5):934–40.Google Scholar
  184. 184.
    Geelhoed JJ, Verburg BO, Nauta J, Lequin M, Hofman A, Moll HA, Witteman JC, van der Heijden AJ, Steegers EA, Jaddoe VW. Tracking and determinants of kidney size from fetal life until the age of 2 years: the Generation R Study. Am J Kidney Dis. 2008. doi: 10.1053/j.ajkd.2008.07.030.
  185. 185.
    Ay L, Van Houten VA, Steegers EA, Hofman A, Witteman JC, Jaddoe VW, Hokken-Koelega AC. Fetal and postnatal growth and body composition at 6 months of age. J Clin Endocrinol Metab. 2009;94(6):2023–30.Google Scholar
  186. 186.
    Gabriele C, Asgarali R, Jaddoe VW, Hofman A, Moll HA, de Jongste JC. Smoke exposure, airway symptoms and exhaled nitric oxide in infants: the Generation R Study. Eur Respir J. 2008;32:307–13.Google Scholar
  187. 187.
    van Houten VA, Steegers EA, Witteman JC, Moll HA, Hofman A, Jaddoe VW. Fetal and postnatal growth and blood pressure at the age of 2 years. The Generation R Study. J Hypertens. 2009;27(6):1152–7.Google Scholar
  188. 188.
    Dierckx B, Tulen JH, van den Berg MP, Tharner A, Jaddoe VW, Moll HA, Hofman A, Verhulst FC, Tiemeier H. Maternal psychopathology influences infant heart rate variability: generation R Study. Psychosom Med. 2009;71(3):313–21.Google Scholar
  189. 189.
    Ghassabian A, Herba CM, Roza SJ, Govaert P, Schenk JJ, Jaddoe VW, Hofman A, White T, Verhulst FC, Tiemeier H. Infant brain structures, executive function, and attention deficit/hyperactivity problems at preschool age. A prospective study. J Child Psychol Psychiatry. 2012. doi: 10.1111/j.1469-7610.2012.02590.x.
  190. 190.
    Tharner A, Luijk MP, Raat H, Ijzendoorn MH, Bakermans-Kranenburg MJ, Moll HA, Jaddoe VW, Hofman A, Verhulst FC, Tiemeier H. Breastfeeding and its relation to maternal sensitivity and infant attachment. J Dev Behav Pediatr. 2012;33(5):396–404.Google Scholar
  191. 191.
    Kok R, Bakermans-Kranenburg MJ, van Ijzendoorn MH, Velders FP, Linting M, Jaddoe VW, Hofman A, Verhulst FC, Tiemeier H. The role of maternal stress during pregnancy, maternal discipline, and child COMT Val158Met genotype in the development of compliance. Dev Psychobiol. 2012. doi: 10.1002/dev.21049.
  192. 192.
    Kok R, van Ijzendoorn MH, Linting M, Bakermans-Kranenburg MJ, Tharner A, Luijk MP, Székely E, Jaddoe VW, Hofman A, Verhulst FC, Tiemeier H. Attachment insecurity predicts child active resistance to parental requests in a compliance task. Child Care Health Dev. 2012. doi: 10.1111/j.1365-2214.2012.01374.x.
  193. 193.
    Labout JA, Duijts L, Arends LR, Jaddoe VW, Hofman A, de Groot R, Verbrugh HA, Hermans PW, Moll HA. Factors associated with pneumococcal carriage in healthy dutch infants: the generation R study. J Pediatr. 2008;153:771–6.Google Scholar
  194. 194.
    Labout JA, Duijts L, Lebon A, de Groot R, Hofman A, Jaddoe VV, et al. Risk factors for otitis media in children with special emphasis on the role of colonization with bacterial airway pathogens: the Generation R Study. Eur J Epidemiol. 2011;26(1):61–6.Google Scholar
  195. 195.
    Duijts L, Bakker-Jonges LE, Labout JA, Jaddoe VW, Hofman A, Steegers EA, Van Dongen JJ, Hooijkaas H, Moll HA. Perinatal stress influences lymphocyte subset counts in neonates. The Generation R Study. Pediatr Res. 2008;63:292–8.Google Scholar
  196. 196.
    Saridjan NS, Huizink AC, Koetsier JA, Jaddoe VW, Mackenbach JP, Hofman A, Kirschbaum C, Verhulst FC, Tiemeier H. Do social disadvantage and early family adversity affect the diurnal cortisol rhythm in infants? The Generation R Study. Horm Behav. 2010;57(2):247–54.Google Scholar
  197. 197.
    Langeslag SJ, Schmidt M, Ghassabian A, Jaddoe VW, Hofman A, van der Lugt A, Verhulst FC, Tiemeier H, White TJ. Functional connectivity between parietal and frontal brain regions and intelligence in young children: The Generation R Study. Hum Brain Mapp. 2012. doi: 10.1002/hbm.22143.
  198. 198.
    Hofman A, van Duijn CM, Franco OH, Ikram MA, Janssen HL, Klaver CC, Kuipers EJ, Nijsten TE, Stricker BH, Tiemeier H, Uitterlinden AG, Vernooij MW, Witteman JC. The Rotterdam Study: 2012 objectives and design update. Eur J Epidemiol. 2011;26(8):657–86. doi: 10.1007/s10654-011-9610-5.
  199. 199.
    Ikram MA, van der Lugt A, Niessen WJ, Krestin GP, Koudstaal PJ, Hofman A, et al. The Rotterdam Scan Study: design and update up to 2012. Eur J Epidemiol. 2011;26(10):811–24.Google Scholar
  200. 200.
    Freathy RM, Mook-Kanamori DO, Sovio U, Prokopenko I, Timpson NJ, Berry DJ, Warrington NM, Widen E, Hottenga JJ, Kaakinen M, Lange LA, Bradfield JP, Kerkhof M, Marsh JA, Magi R, Chen CM, Lyon HN, Kirin M, Adair LS, Aulchenko YS, Bennett AJ, Borja JB, Bouatia-Naji N, Charoen P, Coin LJ, Cousminer DL, de Geus EJ, Deloukas P, Elliott P, Evans DM, Froguel P, Genetic Investigation of ATC, Glaser B, Groves CJ, Hartikainen AL, Hassanali N, Hirschhorn JN, Hofman A, Holly JM, Hypponen E, Kanoni S, Knight BA, Laitinen J, Lindgren CM, Meta-Analyses of G, Insulin-related traits C, McArdle WL, O’Reilly PF, Pennell CE, Postma DS, Pouta A, Ramasamy A, Rayner NW, Ring SM, Rivadeneira F, Shields BM, Strachan DP, Surakka I, Taanila A, Tiesler C, Uitterlinden AG, van Duijn CM, Wellcome Trust Case Control C, Wijga AH, Willemsen G, Zhang H, Zhao J, Wilson JF, Steegers EA, Hattersley AT, Eriksson JG, Peltonen L, Mohlke KL, Grant SF, Hakonarson H, Koppelman GH, Dedoussis GV, Heinrich J, Gillman MW, Palmer LJ, Frayling TM, Boomsma DI, Davey Smith G, Power C, Jaddoe VW, Jarvelin MR, Early Growth Genetics C, McCarthy MI. Variants in ADCY5 and near CCNL1 are associated with fetal growth and birth weight. Nat Genet. 2010;42(5):430–5.Google Scholar
  201. 201.
    Taal HR, St Pourcain B, Thiering E, Das S, Mook-Kanamori DO, Warrington NM, Kaakinen M, Kreiner-Moller E, Bradfield JP, Freathy RM, Geller F, Guxens M, Cousminer DL, Kerkhof M, Timpson NJ, Ikram MA, Beilin LJ, Bonnelykke K, Buxton JL, Charoen P, Chawes BL, Eriksson J, Evans DM, Hofman A, Kemp JP, Kim CE, Klopp N, Lahti J, Lye SJ, McMahon G, Mentch FD, Muller-Nurasyid M, O'Reilly PF, Prokopenko I, Rivadeneira F, Steegers EA, Sunyer J, Tiesler C, Yaghootkar H, Cohorts for H, Aging Research in Genetic Epidemiology C, Breteler MM, Decarli C, Debette S, Fornage M, Gudnason V, Launer LJ, van der Lugt A, Mosley TH, Jr., Seshadri S, Smith AV, Vernooij MW, Early G, Lifecourse Epidemiology C, Blakemore AI, Chiavacci RM, Feenstra B, Fernandez-Banet J, Grant SF, Hartikainen AL, van der Heijden AJ, Iniguez C, Lathrop M, McArdle WL, Molgaard A, Newnham JP, Palmer LJ, Palotie A, Pouta A, Ring SM, Sovio U, Standl M, Uitterlinden AG, Wichmann HE, Vissing NH, van Duijn CM, McCarthy MI, Koppelman GH, Estivill X, Hattersley AT, Melbye M, Bisgaard H, Pennell CE, Widen E, Hakonarson H, Smith GD, Heinrich J, Jarvelin MR, Jaddoe VW. Common variants at 12q15 and 12q24 are associated with infant head circumference. Nat Genet. 2012;44:532–8.Google Scholar
  202. 202.
    Bradfield JP, Taal HR, Timpson NJ, Scherag A, Lecoeur C, Warrington NM, Hypponen E, Holst C, Valcarcel B, Thiering E, Salem RM, Schumacher FR, Cousminer DL, Sleiman PM, Zhao J, Berkowitz RI, Vimaleswaran KS, Jarick I, Pennell CE, Evans DM, St Pourcain B, Berry DJ, Mook-Kanamori DO, Hofman A, Rivadeneira F, Uitterlinden AG, van Duijn CM, van der Valk RJ, de Jongste JC, Postma DS, Boomsma DI, Gauderman WJ, Hassanein MT, Lindgren CM, Magi R, Boreham CA, Neville CE, Moreno LA, Elliott P, Pouta A, Hartikainen AL, Li M, Raitakari O, Lehtimaki T, Eriksson JG, Palotie A, Dallongeville J, Das S, Deloukas P, McMahon G, Ring SM, Kemp JP, Buxton JL, Blakemore AI, Bustamante M, Guxens M, Hirschhorn JN, Gillman MW, Kreiner-Moller E, Bisgaard H, Gilliland FD, Heinrich J, Wheeler E, Barroso I, O'Rahilly S, Meirhaeghe A, Sorensen TI, Power C, Palmer LJ, Hinney A, Widen E, Farooqi IS, McCarthy MI, Froguel P, Meyre D, Hebebrand J, Jarvelin MR, Jaddoe VW, Smith GD, Hakonarson H, Grant SF, Early Growth Genetics C. A genome-wide association meta-analysis identifies new childhood obesity loci. Nat Genet. 2012;44:526–31.Google Scholar
  203. 203.
    Paternoster L, Standl M, Chen CM, Ramasamy A, Bonnelykke K, Duijts L, Ferreira MA, Alves AC, Thyssen JP, Albrecht E, Baurecht H, Feenstra B, Sleiman PM, Hysi P, Warrington NM, Curjuric I, Myhre R, Curtin JA, Groen-Blokhuis MM, Kerkhof M, Saaf A, Franke A, Ellinghaus D, Folster-Holst R, Dermitzakis E, Montgomery SB, Prokisch H, Heim K, Hartikainen AL, Pouta A, Pekkanen J, Blakemore AI, Buxton JL, Kaakinen M, Duffy DL, Madden PA, Heath AC, Montgomery GW, Thompson PJ, Matheson MC, Le Souef P, Australian Asthma Genetics C, St Pourcain B, Smith GD, Henderson J, Kemp JP, Timpson NJ, Deloukas P, Ring SM, Wichmann HE, Muller-Nurasyid M, Novak N, Klopp N, Rodriguez E, McArdle W, Linneberg A, Menne T, Nohr EA, Hofman A, Uitterlinden AG, van Duijn CM, Rivadeneira F, de Jongste JC, van der Valk RJ, Wjst M, Jogi R, Geller F, Boyd HA, Murray JC, Kim C, Mentch F, March M, Mangino M, Spector TD, Bataille V, Pennell CE, Holt PG, Sly P, Tiesler CM, Thiering E, Illig T, Imboden M, Nystad W, Simpson A, Hottenga JJ, Postma D, Koppelman GH, Smit HA, Soderhall C, Chawes B, Kreiner-Moller E, Bisgaard H, Melen E, Boomsma DI, Custovic A, Jacobsson B, Probst-Hensch NM, Palmer LJ, Glass D, Hakonarson H, Melbye M, Jarvis DL, Jaddoe VW, Gieger C, Genetics of Overweight Young Adults C, Strachan DP, Martin NG, Jarvelin MR, Heinrich J, Evans DM, Weidinger S, Genetics EA, Lifecourse Epidemiology C. Metaanalysis of genome-wide association studies identifies three new risk loci for atopic dermatitis. Nat Genet. 2012;44:187–92.Google Scholar
  204. 204.
    Ikram MA, Fornage M, Smith AV, Seshadri S, Schmidt R, Debette S, Vrooman HA, Sigurdsson S, Ropele S, Taal HR, Mook-Kanamori DO, Coker LH, Longstreth WT, Jr., Niessen WJ, DeStefano AL, Beiser A, Zijdenbos AP, Struchalin M, Jack CR, Jr., Rivadeneira F, Uitterlinden AG, Knopman DS, Hartikainen AL, Pennell CE, Thiering E, Steegers EA, Hakonarson H, Heinrich J, Palmer LJ, Jarvelin MR, McCarthy MI, Grant SF, St Pourcain B, Timpson NJ, Smith GD, Sovio U, Early Growth Genetics C, Nalls MA, Au R, Hofman A, Gudnason H, van der Lugt A, Harris TB, Meeks WM, Vernooij MW, van Buchem MA, Catellier D, Jaddoe VW, Gudnason V, Windham BG, Wolf PA, van Duijn CM, Mosley TH, Jr., Schmidt H, Launer LJ, Breteler MM, DeCarli C, Cohorts for H, Aging Research in Genomic Epidemiology C. Common variants at 6q22 and 17q21 are associated with intracranial volume. Nat Genet. 2012;44:539–44.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Vincent W. V. Jaddoe
    • 1
    • 2
    • 3
    Email author
  • Cornelia M. van Duijn
    • 2
  • Oscar H. Franco
    • 2
  • Albert J. van der Heijden
    • 3
  • Marinus H. van IIzendoorn
    • 4
  • Johan C. de Jongste
    • 3
  • Aad van der Lugt
    • 5
  • Johan P. Mackenbach
    • 6
  • Henriëtte A. Moll
    • 3
  • Hein Raat
    • 6
  • Fernando Rivadeneira
    • 7
  • Eric A. P. Steegers
    • 8
  • Henning Tiemeier
    • 2
    • 9
  • Andre G. Uitterlinden
    • 2
    • 7
  • Frank C. Verhulst
    • 9
  • Albert Hofman
    • 2
  1. 1.The Generation R Study Group (AE006)Erasmus Medical CenterRotterdamThe Netherlands
  2. 2.Department of EpidemiologyErasmus Medical CenterRotterdamThe Netherlands
  3. 3.Department of PediatricsSophia Children’s Hospital, Erasmus Medical CenterRotterdamThe Netherlands
  4. 4.School for Pedagogical and Educational SciencesErasmus UniversityRotterdamThe Netherlands
  5. 5.Department of RadiologyErasmus Medical CenterRotterdamThe Netherlands
  6. 6.Department of Public HealthErasmus Medical CenterRotterdamThe Netherlands
  7. 7.Department of Internal MedicineErasmus Medical CenterRotterdamThe Netherlands
  8. 8.Department of Obstetrics and GynaecologyErasmus Medical CenterRotterdamThe Netherlands
  9. 9.Department of Child and Adolescent PsychiatrySophia Children’s Hospital, Erasmus Medical CenterRotterdamThe Netherlands

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