Cohort Profile: The DynaHEALTH consortium – a European consortium for a life-course bio-psychosocial model of healthy ageing of glucose homeostasis
暂无分享,去创建一个
A. Lewin | J. Eriksson | M. Järvelin | I. Prokopenko | S. Keinänen-Kiukaanniemi | T. Sørensen | V. Jaddoe | S. Sebert | E. Tzala | N. Wasenius | S. Poupakis | B. Koletzko | O. Uhl | T. Roseboom | S. D. de Rooij | J. Felix | K. Herzig | R. Rueda | C. Webster | Jennifer L Baker | C. Campoy | J. Miettunen | N. Rautio | H. El Marroun | S. Hummel | J. Verdejo-Román | G. Conti | Giacomo Mason | D. Much | Estelle Lowry | L. Ala-Mursula | F. Vehmeijer | C. van de Beek | L. G. Bjerregaard | N. Aumueller | M. G. Bermúdez | Maneka De Silva | Nadine Hummel | T. Juola | E. Oliveros | Phillipp Schwarzfischer | Maria Rodriguez-Palermo | Jayne Evans | E. Lowry | N. Aumüller
[1] С.О. Грищенко. 2014 , 2019, The Winning Cars of the Indianapolis 500.
[2] A. Lewin,et al. Understanding the complexity of glycaemic health: systematic bio-psychosocial modelling of fasting glucose in middle-age adults; a DynaHEALTH study , 2018, International Journal of Obesity.
[3] T. Sørensen,et al. Change in Overweight from Childhood to Early Adulthood and Risk of Type 2 Diabetes , 2018, The New England journal of medicine.
[4] J. Eriksson,et al. Work-loss years among people diagnosed with diabetes: a reappraisal from a life course perspective , 2018, Acta Diabetologica.
[5] A. Geelen,et al. Women, their Offspring and iMproving lifestyle for Better cardiovascular health of both (WOMB project): a protocol of the follow-up of a multicentre randomised controlled trial , 2018, BMJ Open.
[6] O. Franco,et al. The Rotterdam Study: 2018 update on objectives, design and main results , 2017, European Journal of Epidemiology.
[7] M. Hernán,et al. Nature as a Trialist?: Deconstructing the Analogy Between Mendelian Randomization and Randomized Trials. , 2017, Epidemiology.
[8] M. Järvelin,et al. Accumulated exposure to unemployment is related to impaired glucose metabolism in middle-aged men: A follow-up of the Northern Finland Birth Cohort 1966. , 2017, Primary care diabetes.
[9] M. Jarvelin,et al. Association of pre-pregnancy body mass index with offspring metabolic profile: Analyses of 3 European prospective birth cohorts , 2017, PLoS medicine.
[10] ClarLynda R. Williams-DeVane,et al. Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium , 2017, bioRxiv.
[11] D. Lawlor,et al. Using Genetic Variation to Explore the Causal Effect of Maternal Pregnancy Adiposity on Future Offspring Adiposity: A Mendelian Randomisation Study , 2017, PLoS medicine.
[12] O. Franco,et al. The Generation R Study: design and cohort update 2017 , 2016, European journal of epidemiology.
[13] Kyle J. Gaulton,et al. Genome-wide associations for birth weight and correlations with adult disease , 2016 .
[14] D. Lawlor,et al. Metabolic signatures of birthweight in 18 288 adolescents and adults , 2016, International journal of epidemiology.
[15] V. Jaddoe,et al. Associations of genetic risk scores based on adult adiposity pathways with childhood growth and adiposity measures , 2016, BMC Genetics.
[16] J. Lorente,et al. Maternal, fetal and perinatal alterations associated with obesity, overweight and gestational diabetes: an observational cohort study (PREOBE) , 2016, BMC Public Health.
[17] Alex Broadbent,et al. Causality and causal inference in epidemiology: the need for a pluralistic approach , 2016, International journal of epidemiology.
[18] S. Sebert,et al. Maternal Body Weight and Gestational Diabetes Differentially Influence Placental and Pregnancy Outcomes , 2015, The Journal of clinical endocrinology and metabolism.
[19] John D Potter,et al. Toward Rigorous Data Harmonization in Cancer Epidemiology Research: One Approach. , 2015, American journal of epidemiology.
[20] T. Sørensen,et al. Cohort Profile Cohort Profile : The Danish Conscription Database ( DCD ) : A cohort of 728 160 men born from 1939 through 1959 , 2015 .
[21] T. Sørensen,et al. Effects of body size and change in body size from infancy through childhood on body mass index in adulthood , 2014, International Journal of Obesity.
[22] J. Eriksson,et al. Prevention of gestational diabetes through lifestyle intervention: study design and methods of a Finnish randomized controlled multicenter trial (RADIEL) , 2014, BMC Pregnancy and Childbirth.
[23] U. Sovio,et al. How do changes in body mass index in infancy and childhood associate with cardiometabolic profile in adulthood? Findings from the Northern Finland Birth Cohort 1966 Study , 2014, International Journal of Obesity.
[24] T. Roseboom,et al. The developmental origins of ageing: study protocol for the Dutch famine birth cohort study on ageing , 2013, BMJ Open.
[25] A. Beyerlein,et al. Postpartum outcomes in women with gestational diabetes and their offspring: POGO study design and first-year results. , 2013, The review of diabetic studies : RDS.
[26] T. Sørensen,et al. Weight and weight gain during early infancy predict childhood obesity: a case-cohort study , 2012, International Journal of Obesity.
[27] M. Ezzati,et al. National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants , 2011, The Lancet.
[28] A. Hofman,et al. The Generation R Study: design and cohort update 2010 , 2010, European Journal of Epidemiology.
[29] A. Ziegler,et al. Prevalence and Predictors of Overweight and Insulin Resistance in Offspring of Mothers With Gestational Diabetes Mellitus , 2010, Diabetes Care.
[30] Philippe Froguel,et al. Variants in ADCY5 and near CCNL1 are associated with fetal growth and birth weight , 2010, Nature Genetics.
[31] T. Sørensen,et al. Cohort profile: the Copenhagen School Health Records Register. , 2009, International journal of epidemiology.
[32] B. Koletzko,et al. Lower protein in infant formula is associated with lower weight up to age 2 y: a randomized clinical trial. , 2009, The American journal of clinical nutrition.
[33] J. Eriksson,et al. Infant Growth and Stroke in Adult Life: The Helsinki Birth Cohort Study , 2007, Stroke.
[34] S. Keinänen-Kiukaanniemi,et al. Association of low‐insulin sensitivity measured by quantitative insulin sensitivity check index with hair loss in 55‐year‐old men. A Finnish population‐based study , 2006, Diabetes, obesity & metabolism.
[35] S. Keinänen-Kiukaanniemi,et al. Non-insulin-dependent diabetes mellitus and depression in a middle-aged Finnish population , 1997, Social Psychiatry and Psychiatric Epidemiology.
[36] P. Rantakallio,et al. Labour induction policy in hospitals of different levels of specialisation , 1993, British journal of obstetrics and gynaecology.
[37] P. Rantakallio,et al. The longitudinal study of the northern Finland birth cohort of 1966. , 1988, Paediatric and perinatal epidemiology.