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European Journal of Epidemiology
Published in: European Journal of Epidemiology 11/2010

Open Access 01-11-2010 | Developmental Epidemiology

The Generation R Study: design and cohort update 2010

Authors: Vincent W. V. Jaddoe, Cock M. van Duijn, Albert J. van der Heijden, Johan P. Mackenbach, Henriëtte A. Moll, Eric A. P. Steegers, Henning Tiemeier, Andre G. Uitterlinden, Frank C. Verhulst, Albert Hofman

Published in: European Journal of Epidemiology | Issue 11/2010

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Abstract

The Generation R Study is a population-based prospective cohort study from fetal life until young adulthood. The study is designed to identify early environmental and genetic causes of normal and abnormal growth, development and health during fetal life, childhood and adulthood. The study focuses on four primary areas of research: (1) growth and physical development; (2) behavioural and cognitive development; (3) diseases in childhood; and (4) health and healthcare for pregnant women and children. In total, 9,778 mothers with a delivery date from April 2002 until January 2006 were enrolled in the study. General follow-up rates until the age of 4 years exceed 75%. Data collection in mothers, fathers and preschool children included questionnaires, detailed physical and ultrasound examinations, behavioural observations, and biological samples. A genome wide association screen is available in the participating children. Regular detailed hands on assessment are performed from the age of 5 years onwards. Eventually, results forthcoming from the Generation R Study have to contribute to the development of strategies for optimizing health and healthcare for pregnant women and children.
Literature
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.PubMedCrossRef
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.PubMedCrossRef
3.
Jaddoe VW. Fetal nutritional origins of adult diseases: challenges for epidemiological research. Eur J Epidemiol. 2008;23(12):767–71.PubMedCrossRef
4.
Lawlor DA, Batty GD, Clark H, McIntyre S, Leon DA. Association of childhood intelligence with risk of coronary heart disease and stroke: findings from the Aberdeen Children of the 1950s cohort study. Eur J Epidemiol. 2008;23(10):695–706.PubMedCrossRef
5.
Lawlor DA, Cooper AR, Bain C, Davey Smith G, Irwin A, Riddoch C, et al. Associations of birth size and duration of breast feeding with cardiorespiratory fitness in childhood: findings from the avon longitudinal study of parents and children (ALSPAC). Eur J Epidemiol. 2008;23(6):411–22.PubMedCrossRef
6.
Nguyen QM, Srinivasan SR, Xu JH, Chen W, Berenson GS. Influence of childhood parental history of type 2 diabetes on the pre-diabetic and diabetic status in adulthood: the Bogalusa heart study. Eur J Epidemiol. 2009;24(9):537–9.PubMedCrossRef
7.
Osler M, Lund R, Kriegbaum M, Andersen AM. The influence of birth weight and body mass in early adulthood on early coronary heart disease risk among Danish men born in 1953. Eur J Epidemiol. 2009;24(1):57–61.PubMedCrossRef
8.
Pearce MS, Relton CL, Parker L, Unwin NC. Sex differences in the association between infant feeding and blood cholesterol in later life: the Newcastle thousand families cohort study at age 49–51 years. Eur J Epidemiol. 2009;24(7):375–80.PubMedCrossRef
9.
Rask CU, Olsen EM, Elberling H, Christensen MF, Ornbol E, Fink P, et al. Functional somatic symptoms and associated impairment in 5–7-year-old children: the Copenhagen child cohort 2000. Eur J Epidemiol. 2009;24(10):625–34.PubMedCrossRef
10.
Rzehak P, Sausenthaler S, Koletzko S, Bauer CP, Schaaf B, von Berg A, et al. Period-specific growth, overweight and modification by breastfeeding in the GINI and LISA birth cohorts up to age 6 years. Eur J Epidemiol. 2009;24(8):449–67.PubMedCrossRef
11.
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.PubMedCrossRef
12.
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.PubMedCrossRef
13.
Ghasemi A, Zahediasl S, Azizi F. Nitric oxide and clustering of metabolic syndrome components in pediatrics. Eur J Epidemiol. 2010;25(1):45–53.PubMedCrossRef
14.
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.PubMedCrossRef
15.
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.
16.
Wiesbauer F, Blessberger H, Goliasch G, Holy EW, Pfaffenberger S, Tentzeris I, et al. Elevated risk of myocardial infarction in very young immigrants from former Yugoslavia. Eur J Epidemiol. 2009;24(11):691–6.PubMedCrossRef
17.
Vikan T, Johnsen SH, Schirmer H, Njolstad I, Svartberg J. Endogenous testosterone and the prospective association with carotid atherosclerosis in men: the Tromso study. Eur J Epidemiol. 2009;24(6):289–95.PubMedCrossRef
18.
Turin TC, Kita Y, Rumana N, Sugihara H, Morita Y, Tomioka N, et al. Incidence, admission and case-fatality of acute myocardial infarction: weekend versus weekday in a Japanese population: 16-year results from Takashima AMI registry (1988–2003). Eur J Epidemiol. 2009;24(2):93–100.PubMedCrossRef
19.
Andreotti G, Menashe I, Chen J, Chang SC, Rashid A, Gao YT, et al. Genetic determinants of serum lipid levels in Chinese subjects: a population-based study in Shanghai, China. Eur J Epidemiol. 2009;24(12):763–74.PubMedCrossRef
20.
Ruan L, Chen W, Srinivasan SR, Xu J, Toprak A, Berenson GS. Plasma homocysteine is adversely associated with glomerular filtration rate in asymptomatic black and white young adults: the Bogalusa heart study. Eur J Epidemiol. 2009;24(6):315–9.PubMedCrossRef
21.
Qi Y, Niu W, Zhu T, Zhou W, Qiu C. Synergistic effect of the genetic polymorphisms of the renin-angiotensin-aldosterone system on high-altitude pulmonary edema: a study from Qinghai-Tibet altitude. Eur J Epidemiol. 2008;23(2):143–52.PubMedCrossRef
22.
Regidor E, Astasio P, Calle ME, Martinez D, Ortega P, Dominguez V. The association between birthplace in different regions of the world and cardiovascular mortality among residents of Spain. Eur J Epidemiol. 2009;24(9):503–12.PubMedCrossRef
23.
Oliveira A, Barros H, Azevedo A, Bastos J, Lopes C. Impact of risk factors for non-fatal acute myocardial infarction. Eur J Epidemiol. 2009;24(8):425–32.PubMedCrossRef
24.
Niemiec P, Zak I, Wita K. The M235T polymorphism of the AGT gene modifies the risk of coronary artery disease associated with the presence of hypercholesterolemia. Eur J Epidemiol. 2008;23(5):349–54.PubMedCrossRef
25.
Merry AH, Boer JM, Schouten LJ, Feskens EJ, Verschuren WM, Gorgels AP, et al. Validity of coronary heart diseases and heart failure based on hospital discharge and mortality data in the Netherlands using the cardiovascular registry Maastricht cohort study. Eur J Epidemiol. 2009;24(5):237–47.PubMedCrossRef
26.
Mayer O Jr, Simon J, Plaskova M, Cifkova R, Trefil L. N-terminal pro B-type natriuretic peptide as prognostic marker for mortality in coronary patients without clinically manifest heart failure. Eur J Epidemiol. 2009;24(7):363–8.PubMedCrossRef
27.
Britton A, Malik M, Marmot M. The cardioprotective effects of alcohol consumption: does cardiac autonomic function play a role? Eur J Epidemiol. 2008;23(2):105–8.PubMedCrossRef
28.
Casiglia E, Schiavon L, Tikhonoff V, Bascelli A, Martini B, Mazza A, et al. Electrocardiographic criteria of left ventricular hypertrophy in general population. Eur J Epidemiol. 2008;23(4):261–71.PubMedCrossRef
29.
Chimonas T, Fanouraki I, Liberopoulos EN, Chimonas E, Elisaf M. Diverging trends in cardiovascular morbidity and mortality in a low risk population. Eur J Epidemiol. 2009;24(8):415–23.PubMedCrossRef
30.
Greiser KH, Kluttig A, Schumann B, Swenne CA, Kors JA, Kuss O, et al. Cardiovascular diseases, risk factors and short-term heart rate variability in an elderly general population: the CARLA study 2002–2006. Eur J Epidemiol. 2009;24(3):123–42.PubMedCrossRef
31.
Dorr M, Wallaschofski H, Friedrich N. Association of low total testosterone levels and prevalent carotid plaques: result of the study of health in Pomerania. Eur J Epidemiol. 2009;24(7):389–91.PubMedCrossRef
32.
Dragano N, Hoffmann B, Stang A, Moebus S, Verde PE, Weyers S, et al. Subclinical coronary atherosclerosis and neighbourhood deprivation in an urban region. Eur J Epidemiol. 2009;24(1):25–35.PubMedCrossRef
33.
Fallah N, Mohammad K, Nourijelyani K, Eshraghian MR, Seyyedsalehi SA, Raiessi M, et al. Nonlinear association between serum testosterone levels and coronary artery disease in Iranian men. Eur J Epidemiol. 2009;24(6):297–306.PubMedCrossRef
34.
Faramawi MF, Wildman RP, Gustat J, Rice J, Abdul Kareem MY. The association of the metabolic syndrome with QTc interval in NHANES III. Eur J Epidemiol. 2008;23(7):459–65.PubMedCrossRef
35.
Gasparrini A, Gorini G, Barchielli A. On the relationship between smoking bans and incidence of acute myocardial infarction. Eur J Epidemiol. 2009;24(10):597–602.PubMedCrossRef
36.
Gemes K, Ahnve S, Janszky I. Inflammation a possible link between economical stress and coronary heart disease. Eur J Epidemiol. 2008;23(2):95–103.PubMedCrossRef
37.
Hedlund E, Pehrsson K, Lange A, Hammar N. Country of birth and survival after a first myocardial infarction in Stockholm, Sweden. Eur J Epidemiol. 2008;23(5):341–7.PubMedCrossRef
38.
Thomas W, Birgit R, Edith S. Changing geographical distribution of diabetes mellitus type 1 incidence in Austrian children 1989–2005. Eur J Epidemiol. 2008;23(3):213–8.PubMedCrossRef
39.
Spencer EA, Pirie KL, Stevens RJ, Beral V, Brown A, Liu B, et al. Diabetes and modifiable risk factors for cardiovascular disease: the prospective million women study. Eur J Epidemiol. 2008;23(12):793–9.PubMedCrossRef
40.
Romon I, Jougla E, Balkau B, Fagot-Campagna A. The burden of diabetes-related mortality in France in 2002: an analysis using both underlying and multiple causes of death. Eur J Epidemiol. 2008;23(5):327–34.PubMedCrossRef
41.
Sabanayagam C, Shankar A, Li J, Pollard C, Ducatman A. Serum gamma-glutamyl transferase level and diabetes mellitus among US adults. Eur J Epidemiol. 2009;24(7):369–73.PubMedCrossRef
42.
Olafsdottir E, Aspelund T, Sigurdsson G, Thorsson B, Benediktsson R, Harris TB, et al. Unfavourable risk factors for type 2 diabetes mellitus are already apparent more than a decade before onset in a population-based study of older persons: from the age, gene/environment susceptibility-reykjavik study (AGES-Reykjavik). Eur J Epidemiol. 2009;24(6):307–14.PubMedCrossRef
43.
Pires de Sousa AG, Pereira AC, Marquezine GF, Marques do Nascimento-Neto R, Freitas SN, de C Nicolato RL, et al. Derivation and external validation of a simple prediction model for the diagnosis of type 2 diabetes mellitus in the Brazilian urban population. Eur J Epidemiol. 2009;24(2):101–9.PubMedCrossRef
44.
Manda SO, Feltbower RG, Gilthorpe MS. Investigating spatio-temporal similarities in the epidemiology of childhood leukaemia and diabetes. Eur J Epidemiol. 2009;24(12):743–52.PubMedCrossRef
45.
Balk L, Hoekstra T, Twisk J. Relationship between long-term coffee consumption and components of the metabolic syndrome: the Amsterdam growth and health longitudinal study. Eur J Epidemiol. 2009;24(4):203–9.PubMedCrossRef
46.
Aarts S, van den Akker M, van Boxtel MP, Jolles J, Winkens B, Metsemakers JF. Diabetes mellitus type II as a risk factor for depression: a lower than expected risk in a general practice setting. Eur J Epidemiol. 2009;24(10):641–8.PubMedCrossRef
47.
Bindraban NR, van Valkengoed IG, Mairuhu G, Koster RW, Holleman F, Hoekstra JB, et al. A new tool, a better tool? Prevalence and performance of the International Diabetes Federation and the National Cholesterol Education Program criteria for metabolic syndrome in different ethnic groups. Eur J Epidemiol. 2008;23(1):37–44.PubMedCrossRef
48.
Bloch F, Jegou D, Dhainaut JF, Rigaud AS, Coste J, Lundy JE, et al. Can metabolic abnormalities after a fall predict short term mortality in elderly patients? Eur J Epidemiol. 2009;24(7):357–62.PubMedCrossRef
49.
Heidemann C, Boeing H, Pischon T, Nothlings U, Joost HG, Schulze MB. Association of a diabetes risk score with risk of myocardial infarction, stroke, specific types of cancer, and mortality: a prospective study in the European prospective investigation into cancer and nutrition (EPIC)-Potsdam cohort. Eur J Epidemiol. 2009;24(6):281.PubMedCrossRef
50.
Corpeleijn E, Bakker SJ, Stolk RP. Obesity and impaired renal function: potential for lifestyle intervention? Eur J Epidemiol. 2009;24(6):275–80.PubMedCrossRef
51.
Klenk J, Nagel G, Ulmer H, Strasak A, Concin H, Diem G, et al. Body mass index and mortality: results of a cohort of 184, 697 adults in Austria. Eur J Epidemiol. 2009;24(2):83–91.PubMedCrossRef
52.
Reuser M, Bonneux L, Willekens F. The burden of mortality of obesity at middle and old age is small. A life table analysis of the US health and retirement survey. Eur J Epidemiol. 2008;23(9):601–7.PubMedCrossRef
53.
Setia MS, Quesnel-Vallee A, Abrahamowicz M, Tousignant P, Lynch J. Convergence of body mass index of immigrants to the Canadian-born population: evidence from the National Population Health Survey (1994–2006). Eur J Epidemiol. 2009;24(10):611–23.PubMedCrossRef
54.
Ahmed LA, Schirmer H, Bjornerem A, Emaus N, Jorgensen L, Stormer J, et al. The gender- and age-specific 10-year and lifetime absolute fracture risk in Tromso, Norway. Eur J Epidemiol. 2009;24(8):441–8.PubMedCrossRef
55.
Bruyere O, Varela AR, Adami S, Detilleux J, Rabenda V, Hiligsmann M, et al. Loss of hip bone mineral density over time is associated with spine and hip fracture incidence in osteoporotic postmenopausal women. Eur J Epidemiol. 2009;24(11):707–12.PubMedCrossRef
56.
de Luise C, Brimacombe M, Pedersen L, Sorensen HT. Chronic obstructive pulmonary disease and mortality following hip fracture: a population-based cohort study. Eur J Epidemiol. 2008;23(2):115–22.PubMedCrossRef
57.
Emaus N, Omsland TK, Ahmed LA, Grimnes G, Sneve M, Berntsen GK. Bone mineral density at the hip in Norwegian women and men-prevalence of osteoporosis depends on chosen references: the Tromso Study. Eur J Epidemiol. 2009;24(6):321–8.PubMedCrossRef
58.
Forsen L, Berntsen GK, Meyer HE, Tell GS, Fonnebo V. Differences in precision in bone mineral density measured by SXA and DXA: the NOREPOS study. Eur J Epidemiol. 2008;23(9):615–24.PubMedCrossRef
59.
Moayyeri A, Kaptoge S, Luben RN, Wareham NJ, Bingham S, Reeve J, et al. Estimation of absolute fracture risk among middle-aged and older men and women: the EPIC-Norfolk population cohort study. Eur J Epidemiol. 2009;24(5):259–66.PubMedCrossRef
60.
Yaegashi Y, Onoda T, Tanno K, Kuribayashi T, Sakata K, Orimo H. Association of hip fracture incidence and intake of calcium, magnesium, vitamin D, and vitamin K. Eur J Epidemiol. 2008;23(3):219–25.PubMedCrossRef
61.
Hugg T, Ruotsalainen R, Jaakkola MS, Pushkarev V, Jaakkola JJ. Comparison of allergic diseases, symptoms and respiratory infections between Finnish and Russian school children. Eur J Epidemiol. 2008;23(2):123–33.PubMedCrossRef
62.
Berg-Beckhoff G, Schuz J, Blettner M, Munster E, Schlaefer K, Wahrendorf J, et al. History of allergic disease and epilepsy and risk of glioma and meningioma (INTERPHONE study group, Germany). Eur J Epidemiol. 2009;24(8):433–40.PubMedCrossRef
63.
Graff-Iversen S, Anderssen SA, Holme IM, Jenum AK, Raastad T. Two short questionnaires on leisure-time physical activity compared with serum lipids, anthropometric measurements and aerobic power in a suburban population from Oslo, Norway. Eur J Epidemiol. 2008;23(3):167–74.PubMedCrossRef
64.
Jacobi D, Charles MA, Tafflet M, Lommez A, Borys JM, Oppert JM. Relationships of self-reported physical activity domains with accelerometry recordings in French adults. Eur J Epidemiol. 2009;24(4):171–9.PubMedCrossRef
65.
Lagerros YT. Physical activity—the more we measure, the more we know how to measure. Eur J Epidemiol. 2009;24(3):119–22.PubMedCrossRef
66.
Lagerros YT, Bellocco R, Adami HO, Nyren O. Measures of physical activity and their correlates: the Swedish national march cohort. Eur J Epidemiol. 2009;24(4):161–9.PubMedCrossRef
67.
Matthiessen J, Biltoft-Jensen A, Rasmussen LB, Hels O, Fagt S, Groth MV. Comparison of the Danish physical activity questionnaire with a validated position and motion instrument. Eur J Epidemiol. 2008;23(5):311–22.PubMedCrossRef
68.
Seabra AF, Mendonca DM, Goring HH, Thomis MA, Maia JA. Genetic and environmental factors in familial clustering in physical activity. Eur J Epidemiol. 2008;23(3):205–11.PubMedCrossRef
69.
Saleheen D, Zaidi M, Rasheed A, Ahmad U, Hakeem A, Murtaza M, et al. The Pakistan risk of myocardial infarction study: a resource for the study of genetic, lifestyle and other determinants of myocardial infarction in South Asia. Eur J Epidemiol. 2009;24(6):329–38.PubMedCrossRef
70.
Orsini N, Bellocco R, Bottai M, Hagstromer M, Sjostrom M, Pagano M, et al. Validity of self-reported total physical activity questionnaire among older women. Eur J Epidemiol. 2008;23(10):661–7.PubMedCrossRef
71.
72.
Statistics Netherlands. Allochtonen in Nederland 2004. Voorburg/Heerlen: Statistics Netherlands; 2004.
73.
Troe EJ, Raat H, Jaddoe VW, Hofman A, Looman CW, Moll HA, Steegers EA, Verhulst FC, Witteman JC, Mackenbach JP. Explaining differences in birthweight between ethnic populations. The Generation R Study. BJOG. 2007;114:1557–65.PubMedCrossRef
74.
Statistics Netherlands. Standaard Onderwijsindeling 2003. Voorburg/Heerlen: Statistics Netherlands; 2004.
75.
Troe EJ, Raat H, Jaddoe VW, Hofman A, Steegers EA, Verhulst FC, et al. Smoking during pregnancy in ethnic populations: the Generation R Study. Nicotine Tob Res. 2008;10(8):1373–84.PubMedCrossRef
76.
Chote AA, Koopmans GT, Redekop WK, de Groot CJ, Hoefman RJ, Jaddoe VW, et al. Explaining ethnic differences in late antenatal care entry by predisposing, enabling and need factors in the Netherlands. The Generation R Study. Matern Child Health J. 2010. doi:10.​1007/​s10995-010-0619-2.
77.
Chote AA, de Groot CJ, Bruijnzeels MA, Redekop K, Jaddoe VW, Hofman A, et al. Ethnic differences in antenatal care use in a large multi-ethnic urban population in the Netherlands. Midwifery. 2009. doi:10.​1016/​j.​midw.​2009.​07.​008.
78.
El Marroun H, Tiemeier H, Jaddoe VW, Hofman A, Mackenbach JP, Steegers EA, et al. Demographic, emotional and social determinants of cannabis use in early pregnancy: the Generation R Study. Drug Alcohol Depend. 2008;98(3):218–26.PubMedCrossRef
79.
Timmermans S, Jaddoe VW, Mackenbach JP, Hofman A, Steegers-Theunissen RP, Steegers EA. Determinants of folic acid use in early pregnancy in a multi-ethnic urban population in The Netherlands: the Generation R Study. Prev Med. 2008;47(4):427–32.PubMedCrossRef
80.
van Rossem L, Vogel I, Steegers E, Moll H, Jaddoe V, Hofman A, et al. Breastfeeding patterns among ethic minorities: the Generation R Study. J Epidemiol Community Health. 2009. doi:10.​1136/​jech.​2009.​095380.
81.
Silva LM, Steegers EA, Burdorf A, Jaddoe VW, Arends LR, Hofman A, Mackenbach JP, Raat H. No midpregnancy fall in diastolic blood pressure in women with a low educational level: the Generation R Study. Hypertension. 2008;52:645–51.PubMedCrossRef
82.
Silva LM, Coolman M, Steegers EA, Jaddoe VW, Moll HA, Hofman A, et al. Low socioeconomic status is a risk factor for preeclampsia: the Generation R Study. J Hypertens. 2008;26(6):1200–8.PubMedCrossRef
83.
Silva L, Coolman M, Steegers E, Jaddoe V, Moll H, Hofman A, et al. Maternal educational level and risk of gestational hypertension: the Generation R Study. J Hum Hypertens. 2008;22(7):483–92.PubMedCrossRef
84.
Silva LM, Jansen PW, Steegers EA, Jaddoe VW, Arends LR, Tiemeier H, et al. Mother’s educational level and fetal growth: the genesis of health inequalities. Int J Epidemiol. 2010. doi:10.​1093/​ije/​dyq069.
85.
Jansen PW, Tiemeier H, Jaddoe VW, Hofman A, Steegers EA, Verhulst FC, et al. Explaining educational inequalities in preterm birth: the Generation R Study. Arch Dis Child Fetal Neonatal Ed. 2009;94(1):F28–34.PubMedCrossRef
86.
Jansen PW, Tiemeier H, Looman CW, Jaddoe VW, Hofman A, Moll HA, et al. Explaining educational inequalities in birthweight: the Generation R Study. Paediatr Perinat Epidemiol. 2009;23(3):216–28.PubMedCrossRef
87.
Jansen PW, Tiemeier H, Verhulst FC, Burdorf A, Jaddoe VW, Hofman A, et al. Employment status and the risk of pregnancy complications: the Generation R Study. Occup Environ Med. 2010;67(6):387–94.PubMedCrossRef
88.
Jansen PW, Raat H, Mackenbach JP, Jaddoe VW, Hofman A, Verhulst FC, et al. Socioeconomic inequalities in infant temperament: the Generation R Study. Soc Psychiatry Psychiatr Epidemiol. 2009;44(2):87–95.PubMedCrossRef
89.
Jansen PW, Raat H, Mackenbach JP, Jaddoe VW, Hofman A, van Oort FV, et al. National origin and behavioural problems of toddlers: the role of family risk factors and maternal immigration characteristics. J Abnorm Child Psychol. 2010. doi:10.​1007/​s10802-010-9424-z.
90.
van Rossem L, Oenema A, Steegers EA, Moll HA, Jaddoe VW, Hofman A, et al. Are starting and continuing breastfeeding related to educational background? The Generation R Study. Pediatrics. 2009;123(6):e1017–27.PubMedCrossRef
91.
van Rossem L, Silva LM, Hokken-Koelega A, Arends LR, Moll HA, Jaddoe VW, et al. Socioeconomic status is not inversely associated with overweight in preschool children. J Pediatr. 2010. doi:10.​1016/​j.​jpeds.​2010.​06.​008.
92.
Jacobsen TN, Nohr EA, Frydenberg M. Selection by socioeconomic factors into the Danish national birth cohort. Eur J Epidemiol. 2010;25(5):349–55.PubMedCrossRef
93.
Rodrigues T, Barros H. Maternal unemployment: an indicator of spontaneous preterm delivery risk. Eur J Epidemiol. 2008;23(10):689–93.PubMedCrossRef
94.
Quansah R, Gissler M, Jaakkola JJ. Work as a physician and adverse pregnancy outcomes: a Finnish nationwide population-based registry study. Eur J Epidemiol. 2009;24(9):531–6.PubMedCrossRef
95.
McFadden E, Luben R, Wareham N, Bingham S, Khaw KT. Occupational social class, risk factors and cardiovascular disease incidence in men and women: a prospective study in the European prospective investigation of cancer and nutrition in Norfolk (EPIC-Norfolk) cohort. Eur J Epidemiol. 2008;23(7):449–58.PubMedCrossRef
96.
McFadden E, Luben R, Khaw KT. Different measures of social class in women and mortality. Eur J Epidemiol. 2009;24(5):231–6.PubMedCrossRef
97.
McFadden E, Luben R, Wareham N, Bingham S, Khaw KT. How far can we explain the social class differential in respiratory function? A cross-sectional population study of 21, 991 men and women from EPIC-Norfolk. Eur J Epidemiol. 2009;24(4):193–201.PubMedCrossRef
98.
McFadden E, Luben R, Wareham N, Bingham S, Khaw KT. Occupational social class, educational level, smoking and body mass index, and cause-specific mortality in men and women: a prospective study in the European prospective investigation of cancer and nutrition in Norfolk (EPIC-Norfolk) cohort. Eur J Epidemiol. 2008;23(8):511–22.PubMedCrossRef
99.
Abatih E, Van Oyen H, Bossuyt N, Bruckers L. Variance estimation methods for health expectancy by relative socio-economic status. Eur J Epidemiol. 2008;23(4):243–9.PubMedCrossRef
100.
Heraclides A, Witte D, Brunner EJ. The association between father’s social class and adult obesity is not explained by educational attainment and an unhealthy lifestyle in adulthood. Eur J Epidemiol. 2008;23(8):573–9.PubMedCrossRef
101.
Lallukka T, Sarlio-Lahteenkorva S, Kaila-Kangas L, Pitkaniemi J, Luukkonen R, Leino-Arjas P. Working conditions and weight gain: a 28-year follow-up study of industrial employees. Eur J Epidemiol. 2008;23(4):303–10.PubMedCrossRef
102.
Laszlo KD, Janszky I, Ahnve S. Income and recurrent events after a coronary event in women. Eur J Epidemiol. 2008;23(10):669–80.PubMedCrossRef
103.
Schlaefer K, Schlehofer B, Schuz J. Validity of self-reported occupational noise exposure. Eur J Epidemiol. 2009;24(8):469–75.PubMedCrossRef
104.
Pfefferle PI, Kramer A. Helicobacter pylori-infection status and childhood living conditions are associated with signs of allergic diseases in an occupational population. Eur J Epidemiol. 2008;23(9):635–40.PubMedCrossRef
105.
Baste V, Riise T, Moen BE. Radiofrequency electromagnetic fields; male infertility and sex ratio of offspring. Eur J Epidemiol. 2008;23(5):369–77.PubMedCrossRef
106.
Muller-Riemenschneider F, Reinhold T, Berghofer A, Willich SN. Health-economic burden of obesity in Europe. Eur J Epidemiol. 2008;23(8):499–509.PubMedCrossRef
107.
Hublin C, Partinen M, Koskenvuo K, Silventoinen K, Koskenvuo M, Kaprio J. Shift-work and cardiovascular disease: a population-based 22-year follow-up study. Eur J Epidemiol. 2010;25(5):315–23.PubMedCrossRef
108.
109.
Thomas C, Power C. Shift work and risk factors for cardiovascular disease: a study at age 45 years in the 1958 British birth cohort. Eur J Epidemiol. 2010;25(5):305–14.PubMedCrossRef
110.
Ay L, Kruithof CJ, Bakker R, Steegers EA, Witteman JC, Moll HA, et al. Maternal anthropometrics are associated with fetal size in different periods of pregnancy and at birth. The Generation R Study. BJOG. 2009;116(7):953–63.PubMedCrossRef
111.
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.PubMedCrossRef
112.
Verburg BO, Mulder PG, Hofman A, Jaddoe VW, Witteman JC, Steegers EA. Intra- and interobserver reproducibility study of early fetal growth parameters. Prenat Diagn. 2008;28(4):323–31.PubMedCrossRef
113.
Tunon K, Eik-Nes SH, Grottum P. A comparison between ultrasound and a reliable last menstrual period as predictors of the day of delivery in 15,000 examinations. Ultrasound Obstet Gynecol. 1996;8:178–85.PubMedCrossRef
114.
Jaddoe VW, Verburg BO, de Ridder MA, Hofman A, Mackenbach JP, Moll HA, Steegers EA, Witteman JC. Maternal smoking and fetal growth characteristics in different periods of pregnancy: the Generation R Study. Am J Epidemiol. 2007;165:1207–15.PubMedCrossRef
115.
Bakker R, Steegers EA, Obradov A, Raat H, Hofman A, Jaddoe VW. Maternal caffeine intake from coffee and tea, fetal growth, and the risks of adverse birth outcomes: the Generation R Study. Am J Clin Nutr. 2010;91(6):1691–8.PubMedCrossRef
116.
Bakker R, Pluimgraaff LE, Steegers EA, Raat H, Tiemeier H, Hofman A, et al. Associations of light and moderate maternal alcohol consumption with fetal growth characteristics in different periods of pregnancy: the Generation R Study. Int J Epidemiol. 2010;39(3):777–89.PubMedCrossRef
117.
El Marroun H, Tiemeier H, Steegers EA, Jaddoe VW, Hofman A, Verhulst FC, van den Brink W, Huizink AC. Intrauterine Cannabis exposure affects fetal growth trajectories: the Generation R Study. J Am Acad Child Adolesc Psychiatry. 2009;48(12):1173–81.
118.
Henrichs J, Schenk JJ, Roza SJ, van den Berg MP, Schmidt HG, Steegers EA, Hofman A, Jaddoe VW, Verhulst FC, Tiemeier H. Maternal psychological distress and fetal growth trajectories: the Generation R Study. Psychol Med. 2010;40(4):633–43.PubMedCrossRef
119.
Roza SJ, Verburg BO, Jaddoe VW, Hofman A, Mackenbach JP, Steegers EA, et al. Effects of maternal smoking in pregnancy on prenatal brain development. The Generation R Study. Eur J Neurosci. 2007;25(3):611–7.PubMedCrossRef
120.
Roza SJ, van Lier PA, Jaddoe VW, Steegers EA, Moll HA, Mackenbach JP, et al. Intrauterine growth and infant temperamental difficulties: the Generation R Study. J Am Acad Child Adolesc Psychiatry. 2008;47(3):264–72.PubMedCrossRef
121.
Henrichs J, Schenk JJ, Schmidt HG, Arends LR, Steegers EA, Hofman A, et al. Fetal size in mid- and late pregnancy is related to infant alertness: the Generation R Study. Dev Psychobiol. 2009;51(2):119–30.PubMedCrossRef
122.
Henrichs J, Schenk JJ, Barendregt CS, Schmidt HG, Steegers EA, Hofman A, et al. Fetal growth from mid- to late pregnancy is associated with infant development: the Generation R Study. Dev Med Child Neurol. 2010;52(7):644–51.PubMedCrossRef
123.
Timmermans S, Jaddoe VW, Hofman A, Steegers-Theunissen RP, Steegers EA. Periconception folic acid supplementation, fetal growth and the risks of low birth weight and preterm birth: the Generation R Study. Br J Nutr. 2009;102(5):777–85.PubMedCrossRef
124.
Mook-Kanamori DO, Steegers EA, Eilers PH, Raat H, Hofman A, Jaddoe VW. Risk factors and outcomes associated with first-trimester fetal growth restriction. JAMA. 2010;303(6):527–34.PubMedCrossRef
125.
Timmermans S, Jaddoe VW, Silva LM, Hofman A, Raat H, Steegers-Theunissen RP, et al. Folic acid is positively associated with uteroplacental vascular resistance: the Generation R Study. Nutr Metab Cardiovasc Dis. 2009. doi:10.​1016/​j.​numecd.​2009.​07.​002.
126.
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.PubMedCrossRef
127.
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.PubMedCrossRef
128.
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.PubMedCrossRef
129.
El Marroun H, Tiemeier H, Steegers EA, Roos-Hesselink JW, Jaddoe VW, Hofman A, Verhulst FC, van den Brink W, Huizink AC. A prospective study on intrauterine cannabis exposure and fetal blood flow. Early Hum Dev. 2010;86(4):231–6.PubMedCrossRef
130.
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;63(8):932–7.PubMedCrossRef
131.
Troude P, L’Helias LF, Raison-Boulley AM, Castel C, Pichon C, Bouyer J, et al. Perinatal factors reported by mothers: do they agree with medical records? Eur J Epidemiol. 2008;23(8):557–64.PubMedCrossRef
132.
Jaddoe VW, Troe EJ, Hofman A, Mackenbach JP, Moll HA, Steegers EA, et al. Active and passive maternal smoking during pregnancy and the risks of low birthweight and preterm birth: the Generation R Study. Paediatr Perinat Epidemiol. 2008;22(2):162–71.PubMedCrossRef
133.
Jaddoe VW, Bakker R, Hofman A, Mackenbach JP, Moll HA, Steegers EA, et al. Moderate alcohol consumption during pregnancy and the risk of low birth weight and preterm birth. The Generation R Study. Ann Epidemiol. 2007;17(10):834–40.PubMedCrossRef
134.
van den Hooven EH, Jaddoe VW, de Kluizenaar Y, Hofman A, Mackenbach JP, Steegers EA, et al. Residential traffic exposure and pregnancy-related outcomes: a prospective birth cohort study. Environ Health. 2009;8:59.PubMedCrossRef
135.
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. doi: 10.​1007/​s10654-010-9458-0.
136.
Khashan AS, Kenny LC. The effects of maternal body mass index on pregnancy outcome. Eur J Epidemiol. 2009;24(11):697–705.PubMedCrossRef
137.
Abdullah NA, Pearce MS, Parker L, Wilkinson JR, McNally RJ. Evidence of an environmental contribution to the aetiology of cryptorchidism and hypospadias? Eur J Epidemiol. 2007;22(9):615–20.PubMedCrossRef
138.
Astolfi P, De Pasquale A, Zonta LA. Gestational age shortening in single births at term. Italy 1990–1998. Eur J Epidemiol. 2007;22(4):263–5.PubMedCrossRef
139.
Bartels DB, Wenzlaff P, Poets CF. Obstetrical volume and early neonatal mortality in preterm infants. Eur J Epidemiol. 2007;22(11):791–8.PubMedCrossRef
140.
Nabet C, Lelong N, Ancel PY, Saurel-Cubizolles MJ, Kaminski M. Smoking during pregnancy according to obstetric complications and parity: results of the EUROPOP study. Eur J Epidemiol. 2007;22(10):715–21.PubMedCrossRef
141.
Tu YK, Manda SO, Ellison GT, Gilthorpe MS. Revisiting the interaction between birth weight and current body size in the foetal origins of adult disease. Eur J Epidemiol. 2007;22(9):565–75.PubMedCrossRef
142.
Banhidy F, Acs N, Puho EH, Czeizel AE. Maternal acute respiratory infectious diseases during pregnancy and birth outcomes. Eur J Epidemiol. 2008;23(1):29–35.PubMedCrossRef
143.
Hernandez-Diaz S, Wilcox AJ, Schisterman EF, Hernan MA. From causal diagrams to birth weight-specific curves of infant mortality. Eur J Epidemiol. 2008;23(3):163–6.PubMedCrossRef
144.
See LC, Shen YM, Lin SR. Lower early neonatal mortality among singletons in transnational marriage families: Taiwan birth registry. Eur J Epidemiol. 2008;23(7):483–9.PubMedCrossRef
145.
Strandberg-Larsen K, Rod Nielsen N, Nybo Andersen AM, Olsen J, Gronbaek M. Characteristics of women who binge drink before and after they become aware of their pregnancy. Eur J Epidemiol. 2008;23(8):565–72.PubMedCrossRef
146.
Zhu JL, Vestergaard M, Madsen KM, Olsen J. Paternal age and mortality in children. Eur J Epidemiol. 2008;23(7):443–7.PubMedCrossRef
147.
Julihn A, Ekbom A, Modeer T. Maternal overweight and smoking: prenatal risk factors for caries development in offspring during the teenage period. Eur J Epidemiol. 2009;24(12):753–62.PubMedCrossRef
148.
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.PubMedCrossRef
149.
150.
Ludvigsson JF, Otterblad-Olausson P, Pettersson BU, Ekbom A. The Swedish personal identity number: possibilities and pitfalls in healthcare and medical research. Eur J Epidemiol. 2009;24(11):659–67.PubMedCrossRef
151.
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.PubMedCrossRef
152.
Henrichs J, Bongers-Schokking JJ, Schenk JJ, Ghassabian A, Schmidt HG, Visser TJ, et al. 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.
153.
Asfeldt AM, Straume B, Steigen SE, Lochen ML, Florholmen J, Bernersen B, et al. Changes in the prevalence of dyspepsia and Helicobacter pylori infection after 17 years: the Sorreisa gastrointestinal disorder study. Eur J Epidemiol. 2008;23(9):625–33.PubMedCrossRef
154.
Sandven I, Abdelnoor M, Wethe M, Nesheim BI, Vikanes A, Gjonnes H, et al. Helicobacter pylori infection and Hyperemesis gravidarum. An institution-based case-control study. Eur J Epidemiol. 2008;23(7):491–8.PubMedCrossRef
155.
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.CrossRef
156.
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.PubMedCrossRef
157.
Wang WY, Barratt BJ, Clayton DG, Todd JA. Genome-wide association studies: theoretical and practical concerns. Nat Rev Genet. 2005;6:109–18.PubMedCrossRef
158.
Hofman A, Breteler MM, van Duijn CM, Janssen HL, Krestin GP, Kuipers EJ, Stricker BH, Tiemeier H, Uitterlinden AG, Vingerling JR, Witteman JC. The Rotterdam study: 2010 objectives and design update. Eur J Epidemiol. 2009;24(9):553–72.PubMedCrossRef
159.
Huang L, Li Y, Singleton AB, Hardy JA, Abecasis G, Rosenberg NA, Scheet P. Genotype-imputation accuracy across worldwide human populations. Am J Hum Genet. 2009;84(2):235–50.PubMedCrossRef
160.
Freathy RM, Mook-Kanamori DO, Sovio U, Prokopenko I, Timpson NJ, Berry DJ, et al. Variants in ADCY5 and near CCNL1 are associated with fetal growth and birth weight. Nat Genet. 2010;42(5):430–5.PubMedCrossRef
161.
162.
Thompson A. Thinking big: large-scale collaborative research in observational epidemiology. Eur J Epidemiol. 2009;24(12):727–31.PubMedCrossRef
163.
Isaacs A, Sayed-Tabatabaei FA, Aulchenko YS, Zillikens MC, Sijbrands EJ, Schut AF, et al. Heritabilities, apolipoprotein E, and effects of inbreeding on plasma lipids in a genetically isolated population: the Erasmus Rucphen family study. Eur J Epidemiol. 2007;22(2):99–105.PubMedCrossRef
164.
Collaboration CCG. Collaborative pooled analysis of data on C-reactive protein gene variants and coronary disease: judging causality by Mendelian randomisation. Eur J Epidemiol. 2008;23(8):531–40.CrossRef
165.
Little J, Higgins JP, Ioannidis JP, Moher D, Gagnon F, von Elm E, et al. Strengthening the reporting of genetic association studies (STREGA): an extension of the STROBE statement. Eur J Epidemiol. 2009;24(1):37–55.PubMedCrossRef
166.
Miettinen OS. Up from ‘false positives’ in genetic-and other-epidemiology. Eur J Epidemiol. 2009;24(1):1–5.PubMedCrossRef
167.
Thelle DS. STROBE and STREGA: instruments for improving transparency and quality of reporting scientific results. Eur J Epidemiol. 2009;24(1):7–8.PubMedCrossRef
168.
van Wieren-de Wijer DB, Maitland-van der Zee AH, de Boer A, Belitser SV, Kroon AA, de Leeuw PW, et al. Determinants of DNA yield and purity collected with buccal cell samples. Eur J Epidemiol. 2009;24(11):677–82.PubMedCrossRef
169.
Psaty BM, Hofman A. Genome-wide association studies and large-scale collaborations in epidemiology. Eur J Epidemiol. 2010;25(8):525–9.
170.
Tan Q, Zhao JH, Li S, Kruse TA, Christensen K. Power assessment for genetic association study of human longevity using offspring of long-lived subjects. Eur J Epidemiol. 2010;25(7):501–6.PubMedCrossRef
171.
Janssens AC. Is the time right for translation research in genomics? Eur J Epidemiol. 2008;23(11):707–10.PubMedCrossRef
172.
Amin N, van Duijn CM, Janssens AC. Genetic scoring analysis: a way forward in genome wide association studies? Eur J Epidemiol. 2009;24(10):585–7.PubMedCrossRef
173.
Mook-Kanamori DO, Miranda Geelhoed JJ, Steegers EA, Witteman JC, Hofman A, Moll HA, et al. Insulin gene variable number of tandem repeats is not associated with weight from fetal life until infancy: the Generation R Study. Eur J Endocrinol. 2007;157(6):741–8.PubMedCrossRef
174.
Geelhoed JJ, Mook-Kanamori DO, Witteman JC, Hofman A, van Duijn CM, Moll HA, et al. Variation in the IGF1 gene and growth in foetal life and infancy. The Generation R Study. Clin Endocrinol (Oxf). 2008;68(3):382–9.
175.
van Houten VA, Mook-Kanamori DO, van Osch-Gevers L, Steegers EA, Hofman A, Moll HA, et al. A variant of the IGF-I gene is associated with blood pressure but not with left heart dimensions at the age of 2 years: the Generation R Study. Eur J Endocrinol. 2008;159(3):209–16.PubMedCrossRef
176.
Duijts L, Bakker-Jonges LE, Mook-Kanamori DO, Labout JA, Hofman A, van Duijn CM, et al. Variation in the IGF-1 gene is associated with lymphocyte subset counts in neonates: the Generation R Study. Clin Endocrinol (Oxf). 2009;70(1):53–9.CrossRef
177.
Maas JA, Mook-Kanamori DO, Ay L, Steegers EA, van Duijn CM, Hofman A, et al. Insulin VNTR and IGF-1 promoter region polymorphisms are not associated with body composition in early childhood: the Generation R Study. Horm Res Paediatr. 2010;73(2):120–7.PubMedCrossRef
178.
Mook-Kanamori DO, Steegers EA, Uitterlinden AG, Moll HA, van Duijn CM, Hofman A, et al. Breast-feeding modifies the association of PPARgamma2 polymorphism Pro12Ala with growth in early life: the Generation R Study. Diabetes. 2009;58(4):992–8.PubMedCrossRef
179.
Mook-Kanamori DO, de Kort SW, van Duijn CM, Uitterlinden AG, Hofman A, Moll HA, et al. Type 2 diabetes gene TCF7L2 polymorphism is not associated with fetal and postnatal growth in two birth cohort studies. BMC Med Genet. 2009;10:67.PubMedCrossRef
180.
Geelhoed MJ, Steegers EA, Koper JW, van Rossum EF, Moll HA, Raat H, et al. Glucocorticoid receptor gene polymorphisms do not affect growth in fetal and early postnatal life. The Generation R Study. BMC Med Genet. 2010;11:39.PubMedCrossRef
181.
Mook-Kanamori DO, Ay L, Hofman A, van Duijn CM, Moll HA, Raat H, et al. No association of obesity gene FTO with body composition at the age of 6 months. The Generation R Study. J Endocrinol Invest. 2010 (in press).
182.
Luijk MP, Velders FP, Tharner A, van Ijzendoorn MH, Bakermans-Kranenburg MJ, Jaddoe VW, et al. FKBP5 and resistant attachment predict cortisol reactivity in infants: gene-environment interaction. Psychoneuroendocrinology. 2010. doi:10.​1016/​j.​psyneuen.​2010.​04.​012.
183.
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.PubMedCrossRef
184.
van Batenburg-Eddes T, de Groot L, Steegers EA, Hofman A, Jaddoe VW, Verhulst FC, et al. Fetal programming of infant neuromotor development: the Generation R Study. Pediatr Res. 2010;67(2):132–7.PubMedCrossRef
185.
van Batenburg-Eddes T, de Groot L, Huizink AC, Steegers EA, Hofman A, Jaddoe VW, et al. Maternal symptoms of anxiety during pregnancy affect infant neuromotor development: the Generation R Study. Dev Neuropsychol. 2009;34(4):476–93.PubMedCrossRef
186.
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.
187.
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.PubMedCrossRef
188.
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.PubMedCrossRef
189.
De Brock AJLL, Vermulst AA, Gerris JRM, Abidin RR. Nijmeegse Ouderlijke Stress Index. Lisse: Swets en Zeitlinger b.v.; 1992.
190.
Gerris JR, Boxtel DA, Vermulst AA, Janssens JM, van Zuthpen RA, Felling AJ. Parenting in Dutch families. Nijmegen, The Netherlands: University of Nijmegen, Institute of Family Studies; 1993.
191.
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.PubMedCrossRef
192.
Derogatis LR, Melisaratos N. The brief symptom inventory: an introductory report. Psychol Med. 1983;13:595–605.PubMedCrossRef
193.
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.PubMedCrossRef
194.
Wardle J, Guthrie CA, Sanderson S, Rapoport LJ. Development of the children’s eating behaviour questionnaire. Child Psychol Psychiatry. 2001;42:963–70.CrossRef
195.
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.PubMedCrossRef
196.
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.PubMedCrossRef
197.
Taylor JC, Law GR, Boyle PJ, Feng Z, Gilthorpe MS, Parslow RC, et al. Does population mixing measure infectious exposure in children at the community level? Eur J Epidemiol. 2008;23(9):593–600.PubMedCrossRef
198.
Raoult D. Recent and future developments in the epidemiology of the infectious diseases. Eur J Epidemiol. 2009;24(8):393–5.PubMedCrossRef
199.
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.PubMedCrossRef
200.
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(2):307–13.PubMedCrossRef
201.
Mohangoo AD, de Koning HJ, Hafkamp-de Groen E, van der Wouden JC, Jaddoe VW, Moll HA, et al. A comparison of parent-reported wheezing or shortness of breath among infants as assessed by questionnaire and physician-interview: The Generation R Study. Pediatr Pulmonol. 2010;45(5):500–7.PubMed
202.
Kompauer I, Demmelmair H, Koletzko B, Bolte G, Linseisen J, Heinrich J. Association of fatty acids in serum phospholipids with lung function and bronchial hyperresponsiveness in adults. Eur J Epidemiol. 2008;23(3):175–90.PubMedCrossRef
203.
Rzehak P, Schoefer Y, Wichmann HE, Heinrich J. A prospective study on the association between hay fever among children and incidence of asthma in East Germany. Eur J Epidemiol. 2008;23(1):17–22.PubMedCrossRef
204.
205.
Visser AM, Jaddoe VW, Arends LR, Tiemeier H, Hofman A, Moll HA, et al. Paroxysmal disorders in infancy and their risk factors in a population-based cohort: the Generation R Study. Dev Med Child Neurol. 2010. doi:10.​1111/​j.​1469-8749.​2010.​03689.​x.
206.
Kiefte-de Jong JC, Escher JC, Arends LR, Jaddoe VW, Hofman A, Raat H, et al. Infant nutritional factors and functional constipation in childhood: the Generation R Study. Am J Gastroenterol. 2010;105(4):940–5.PubMedCrossRef
207.
St James-Roberts I, Halil T. Infant crying patterns in the first year: normal community and clinical findings. J Child Psychol Psychiatry. 1991;32:951–68.PubMedCrossRef
208.
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.PubMedCrossRef
209.
Gartstein MA, Rothbart MK. Studying infant temperament via the revised infant behavior questionnaire. Infant Behav Dev. 2003;26:64–86.CrossRef
210.
Ireton H, Glascoe FP. Assessing children’s development using parents’ reports. The child development inventory. Clin Pediatr. 1995;34:248–55.CrossRef
211.
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.CrossRef
212.
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.CrossRef
213.
Achenbach TM. Manual for the child behavior checklist/4–18 and 1991 profile. Burlington: University of Vermont Department of Psychiatry; 1991.
214.
Verhulst FC, Van der Ende J, Koot HM. Manual for the CBCL/4-18. Rotterdam, the Netherlands: Erasmus Universiteit/Deptartment of Child and Adolescent Psychiatry, Sophia Children’s Hospital; 1996.
215.
Cents RA, Tiemeier H, Luijk MP, Jaddoe VW, Hofman A, Verhulst FC, et al. Grandparental anxiety and depression predict young children’s internalizing and externalizing problems The Generation R Study. J Affect Disord. 2010. doi:10.​1016/​j.​jad.​2010.​06.​020.
216.
Roza SJ, van Batenburg-Eddes T, Steegers EA, Jaddoe VW, Mackenbach JP, Hofman A, et al. Maternal folic acid supplement use in early pregnancy and child behavioural problems: the Generation R Study. Br J Nutr. 2010;103(3):445–52.PubMedCrossRef
217.
Roza SJ, Verhulst FC, Jaddoe VW, Steegers EA, Mackenbach JP, Hofman A, et al. Maternal smoking during pregnancy and child behaviour problems: the Generation R Study. Int J Epidemiol. 2009;38(3):680–9.PubMedCrossRef
218.
Walker LS, Garber SJ, van Slyke DA. Development and validation of the pain response inventory for children. Psychol Assess. 1997;9:392–405.CrossRef
219.
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.PubMedCrossRef
220.
Wolff N, Darlington AS, Hunfeld J, Verhulst F, Jaddoe V, Hofman A, et al. Determinants of somatic complaints in 18-month-old children: the Generation R Study. J Pediatr Psychol. 2010;35(3):306–16.PubMedCrossRef
221.
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.
222.
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;16:349–63.
223.
Isquith PK, Gioia GA, Espy KA. Executive function in preschool children: examination through everyday behavior. Dev Neuropsychol. 2004;26:403–22.PubMedCrossRef
224.
Ay L, Hokken-Koelega AC, Mook-Kanamori DO, Hofman A, Moll HA, Mackenbach JP, et al. Tracking and determinants of subcutaneous fat mass in early childhood: the Generation R Study. Int J Obes (Lond). 2008;32(7):1050–9.CrossRef
225.
Holzhauer S, Hokken Koelega AC, Ridder M, Hofman A, Moll HA, Steegers EA, et al. Effect of birth weight and postnatal weight gain on body composition in early infancy: The Generation R Study. Early Hum Dev. 2009;85(5):285–90.PubMedCrossRef
226.
Roza SJ, Govaert PP, Vrooman HA, Lequin MH, Hofman A, Steegers EA, et al. Foetal growth determines cerebral ventricular volume in infants The Generation R Study. Neuroimage. 2008;39(4):1491–8.PubMedCrossRef
227.
Roza SJ, Govaert PP, Lequin MH, Jaddoe VW, Moll HA, Steegers EA, et al. Cerebral ventricular volume and temperamental difficulties in infancy The Generation R Study. J Psychiatry Neurosci. 2008;33(5):431–9.PubMed
228.
Geelhoed MJ, Snijders SP, Kleyburg-Linkers VE, Steegers EA, van Osch-Gevers L, Jaddoe VW. Reliability of echocardiographic measurements of left cardiac structures in healthy children. Cardiol Young. 2009;19(5):494–500.PubMedCrossRef
229.
Geelhoed JJ, Steegers EA, van Osch-Gevers L, Verburg BO, Hofman A, Witteman JC, et al. Cardiac structures track during the first 2 years of life and are associated with fetal growth and hemodynamics: the Generation R Study. Am Heart J. 2009;158(1):71–7.PubMedCrossRef
230.
Geelhoed JJ, VANO-G L, Verburg BO, Steegers EA, Hofman A, Helbing W, et al. Maternal anthropometrics in pregnancy are associated with left ventricular mass in infancy. The Generation R Study. Pediatr Res. 2008;63(1):62–6.PubMedCrossRef
231.
de Jonge LL, van Osch-Gevers L, Geelhoed JJ, Hofman A, Steegers EA, Helbing WA, et al. Breastfeeding is not associated with left cardiac structures and blood pressure during the first two years of life. The Generation R Study. Early Hum Dev. 2010;86(8):463–8.
232.
Geelhoed JJ, Kleyburg-Linkers VE, Snijders SP, Lequin M, Nauta J, Steegers EA, et al. Reliability of renal ultrasound measurements in children. Pediatr Nephrol. 2009;24(7):1345–53.PubMedCrossRef
233.
Geelhoed JJ, Taal HR, Steegers EA, Arends LR, Lequin M, Moll HA, et al. Kidney growth curves in healthy children from the third trimester of pregnancy until the age of two years. The Generation R Study. Pediatr Nephrol. 2010;25(2):289–98.PubMedCrossRef
234.
Geelhoed JJ, Verburg BO, Nauta J, Lequin M, Hofman A, Moll HA, et al. Tracking and determinants of kidney size from fetal life until the age of 2 years: the Generation R Study. Am J Kidney Dis. 2009;53(2):248–58.PubMedCrossRef
235.
Mook-Kanamori DO, Holzhauer S, Hollestein LM, Durmus B, Manniesing R, Koek M, et al. Abdominal fat in children measured by ultrasound and computed tomography. Ultrasound Med Biol. 2009;35(12):1938–46.PubMedCrossRef
236.
Durmus B, Mook-Kanamori DO, Holzhauer S, Hofman A, van der Beek EM, Boehm G, et al. 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.CrossRef
237.
Holzhauer S, Zwijsen RM, Jaddoe VW, Boehm G, Moll HA, Mulder PG, et al. Sonographic assessment of abdominal fat distribution in infancy. Eur J Epidemiol. 2009;24(9):521–9.PubMedCrossRef
238.
Ay L, Van Houten VA, Steegers EA, Hofman A, Witteman JC, Jaddoe VW, et al. Fetal and postnatal growth and body composition at 6 months of age. J Clin Endocrinol Metab. 2009;94(6):2023–30.PubMedCrossRef
239.
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.PubMedCrossRef
240.
Dierckx B, Tulen JH, van den Berg MP, Tharner A, Jaddoe VW, Moll HA, et al. Maternal psychopathology influences infant heart rate variability: Generation R Study. Psychosom Med. 2009;71(3):313–21.PubMedCrossRef
241.
Dierckx B, Tulen JH, Tharner A, Jaddoe VW, Hofman A, Verhulst FC, et al. Low autonomic arousal as vulnerability to externalising behaviour in infants with hostile mothers. Psychiatry Res. 2010. doi:10.​1016/​j.​psychres.​2009.​09.​014.
242.
Labout JA, Duijts L, Arends LR, Jaddoe VW, Hofman A, de Groot R, et al. Factors associated with pneumococcal carriage in healthy Dutch infants: the Generation R Study. J Pediatr. 2008;153(6):771–6.PubMedCrossRef
243.
Lebon A, Labout JA, Verbrugh HA, Jaddoe VW, Hofman A, van Wamel W, et al. Dynamics and determinants of Staphylococcus aureus carriage in infancy: the Generation R Study. J Clin Microbiol. 2008;46(10):3517–21.PubMedCrossRef
244.
Lebon A, Moll HA, Tavakol M, van Wamel WJ, Jaddoe VW, Hofman A, et al. Correlation of bacterial colonization status between mother and child: the Generation R Study. J Clin Microbiol. 2010;48(3):960–2.PubMedCrossRef
245.
Verkaik NJ, Lebon A, de Vogel CP, Hooijkaas H, Verbrugh HA, Jaddoe VW, et al. Induction of antibodies by Staphylococcus aureus nasal colonization in young children. Clin Microbiol Infect. 2010;16(8):1312–7.PubMedCrossRef
246.
Verhaegh SJ, Lebon A, Saarloos JA, Verbrugh HA, Jaddoe VW, Hofman A, et al. Determinants of Moraxella catarrhalis colonization in healthy Dutch children during the first 14 months of life. Clin Microbiol Infect. 2009. doi:10.​1111/​j.​1469-0691.​2009.​03008.​x.
247.
Lebon A, Labout JA, Verbrugh HA, Jaddoe VW, Hofman A, van Wamel WJ, et al. Role of Staphylococcus aureus nasal colonization in atopic dermatitis in infants: the Generation R Study. Arch Pediatr Adolesc Med. 2009;163(8):745–9.PubMedCrossRef
248.
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.PubMedCrossRef
249.
Luijk MP, Saridjan N, Tharner A, van Ijzendoorn MH, Bakermans-Kranenburg MJ, Jaddoe VW, et al. Attachment, depression, and cortisol: deviant patterns in insecure-resistant and disorganized infants. Dev Psychobiol. 2010;52(5):441–52.PubMedCrossRef
250.
Duijts L, Bakker-Jonges LE, Labout JA, Jaddoe VW, Hofman A, Steegers EA, et al. Perinatal stress influences lymphocyte subset counts in neonates. The Generation R Study. Pediatr Res. 2008;63(3):292–8.PubMedCrossRef
251.
Duijts L, Bakker-Jonges LE, Labout JA, Jaddoe VW, Hofman A, Steegers EA, et al. Fetal growth influences lymphocyte subset counts at birth: the Generation R Study. Neonatology. 2009;95(2):149–56.PubMedCrossRef
252.
Alonso A, de Irala J, Martinez-Gonzalez MA. Representativeness, losses to follow-up and validity in cohort studies. Eur J Epidemiol. 2007;22(7):481–2.PubMedCrossRef
253.
Richiardi L, Baussano I, Vizzini L, Douwes J, Pearce N, Merletti F, et al. Feasibility of recruiting a birth cohort through the Internet: the experience of the NINFEA cohort. Eur J Epidemiol. 2007;22(12):831–7.PubMedCrossRef
254.
Cardis E, Richardson L, Deltour I, Armstrong B, Feychting M, Johansen C, et al. The INTERPHONE study: design, epidemiological methods, and description of the study population. Eur J Epidemiol. 2007;22(9):647–64.PubMedCrossRef
255.
Pitrou I, Dauchet L, Bailly L, Koubi SE, Tavolacci MP, Ladner J. Mobile phone follow-up of subjects included in a prospective cohort study: unexpected difficulties. Eur J Epidemiol. 2007;22(6):411–2.PubMedCrossRef
256.
Ekman A, Klint A, Dickman PW, Adami HO, Litton JE. Optimizing the design of web-based questionnaires—experience from a population-based study among 50, 000 women. Eur J Epidemiol. 2007;22(5):293–300.PubMedCrossRef
257.
Touvier M, Mejean C, Kesse-Guyot E, Pollet C, Malon A, Castetbon K, et al. Comparison between web-based and paper versions of a self-administered anthropometric questionnaire. Eur J Epidemiol. 2010;25(5):287–96.PubMedCrossRef
258.
Barakat-Haddad CP, Elliott SJ, Eyles J, Pengelly D. Predictors of locating children participants in epidemiological studies 20 years after last contact: internet resources and longitudinal research. Eur J Epidemiol. 2009;24(8):397–405.PubMedCrossRef
259.
Bexelius C, Merk H, Sandin S, Ekman A, Nyren O, Kuhlmann-Berenzon S, et al. SMS versus telephone interviews for epidemiological data collection: feasibility study estimating influenza vaccination coverage in the Swedish population. Eur J Epidemiol. 2009;24(2):73–81.PubMedCrossRef
260.
Clarisse B, Nikasinovic L, Poinsard R, Just J, Momas I. The Paris prospective birth cohort study: which design and who participates? Eur J Epidemiol. 2007;22(3):203–10.PubMedCrossRef
261.
Stolk RP, Rosmalen JG, Postma DS, de Boer RA, Navis G, Slaets JP, et al. Universal risk factors for multifactorial diseases: LifeLines: a three-generation population-based study. Eur J Epidemiol. 2008;23(1):67–74.PubMedCrossRef
262.
Kim BM, Ha M, Park HS, Lee BE, Kim YJ, Hong YC, et al. The mothers and children’s environmental health (MOCEH) study. Eur J Epidemiol. 2009;24(9):573–83.PubMedCrossRef
263.
Nur U, Longford NT, Cade JE, Greenwood DC. The impact of handling missing data on alcohol consumption estimates in the UK women cohort study. Eur J Epidemiol. 2009;24(10):589–95.PubMedCrossRef
264.
Delaney JA, Platt RW, Suissa S. The impact of unmeasured baseline effect modification on estimates from an inverse probability of treatment weighted logistic model. Eur J Epidemiol. 2009;24(7):343–9.PubMedCrossRef
265.
Foraita R. A conditional synergy index to assess biological interaction. Eur J Epidemiol. 2009;24(9):485–94.PubMedCrossRef
266.
Goodman A, Gatward R. Who are we missing? Area deprivation and survey participation. Eur J Epidemiol. 2008;23(6):379–87.PubMedCrossRef
267.
Lundbye-Christensen S, Dethlefsen C, Gorst-Rasmussen A, Fischer T, Schonheyder HC, Rothman KJ, et al. Examining secular trends and seasonality in count data using dynamic generalized linear modelling: a new methodological approach illustrated with hospital discharge data on myocardial infarction. Eur J Epidemiol. 2009;24(5):225–30.PubMedCrossRef
268.
Hafeman DM. A sufficient cause based approach to the assessment of mediation. Eur J Epidemiol. 2008;23(11):711–21.PubMedCrossRef
269.
Miettinen OS. Survival analysis: up from Kaplan–Meier-Greenwood. Eur J Epidemiol. 2008;23(9):585–92.PubMedCrossRef
270.
Pekkanen J, Sunyer J. Problems in using incidence to analyze risk factors in follow-up studies. Eur J Epidemiol. 2008;23(9):581.PubMedCrossRef
271.
Stang A. Appropriate epidemiologic methods as a prerequisite for valid study results. Eur J Epidemiol. 2008;23(12):761–5.PubMedCrossRef
272.
Stromberg U. Empirical bayes and semi-bayes adjustments for a vast number of estimations. Eur J Epidemiol. 2009;24(12):737–41.PubMedCrossRef
273.
274.
Walter S, Tiemeier H. Variable selection: current practice in epidemiological studies. Eur J Epidemiol. 2009;24(12):733–6.PubMedCrossRef
Metadata
Title
The Generation R Study: design and cohort update 2010
Authors
Vincent W. V. Jaddoe
Cock M. van Duijn
Albert J. van der Heijden
Johan P. Mackenbach
Henriëtte A. Moll
Eric A. P. Steegers
Henning Tiemeier
Andre G. Uitterlinden
Frank C. Verhulst
Albert Hofman
Publication date
01-11-2010
Publisher
Springer Netherlands
Published in
European Journal of Epidemiology / Issue 11/2010
Print ISSN: 0393-2990
Electronic ISSN: 1573-7284
DOI
https://doi.org/10.1007/s10654-010-9516-7

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