• Anti-Müllerian Hormone Trajectories Are Associated With Cardiovascular Disease in Women: Results From the Doetinchem Cohort Study.

      de Kat, Annelien C; Verschuren, W Monique; Eijkemans, Marinus J C; Broekmans, Frank J M; van der Schouw, Yvonne T (2017-02-07)
      Earlier age at menopause is widely considered to be associated with an increased risk of cardiovascular disease. However, the underlying mechanisms of this relationship remain undetermined. Indications suggest that anti-Müllerian hormone (AMH), an ovarian reserve marker, plays a physiological role outside of the reproductive system. Therefore, we investigated whether longitudinal AMH decline trajectories are associated with an increased risk of cardiovascular disease (CVD) occurrence.
    • Coffee Drinking and Mortality in 10 European Countries: A Multinational Cohort Study.

      Gunter, Marc J; Murphy, Neil; Cross, Amanda J; Dossus, Laure; Dartois, Laureen; Fagherazzi, Guy; Kaaks, Rudolf; Kühn, Tilman; Boeing, Heiner; Aleksandrova, Krasimira; Tjønneland, Anne; Olsen, Anja; Overvad, Kim; Larsen, Sofus Christian; Redondo Cornejo, Maria Luisa; Agudo, Antonio; Sánchez Pérez, María José; Altzibar, Jone M; Navarro, Carmen; Ardanaz, Eva; Khaw, Kay-Tee; Butterworth, Adam; Bradbury, Kathryn E; Trichopoulou, Antonia; Lagiou, Pagona; Trichopoulos, Dimitrios; Palli, Domenico; Grioni, Sara; Vineis, Paolo; Panico, Salvatore; Tumino, Rosario; Bueno-de-Mesquita, Bas; Siersema, Peter; Leenders, Max; Beulens, Joline W J; Uiterwaal, Cuno U; Wallström, Peter; Nilsson, Lena Maria; Landberg, Rikard; Weiderpass, Elisabete; Skeie, Guri; Braaten, Tonje; Brennan, Paul; Licaj, Idlir; Muller, David C; Sinha, Rashmi; Wareham, Nick; Riboli, Elio (2017-08-15)
      The relationship between coffee consumption and mortality in diverse European populations with variable coffee preparation methods is unclear.
    • Is aircraft noise exposure associated with cardiovascular disease and hypertension? Results from a cohort study in Athens, Greece.

      Dimakopoulou, Konstantina; Koutentakis, Konstantinos; Papageorgiou, Ifigeneia; Kasdagli, Maria-Iosifina; Haralabidis, Alexandros S; Sourtzi, Panayota; Samoli, Evangelia; Houthuijs, Danny; Swart, Wim; Hansell, Anna L; Katsouyanni, Klea (2017-11)
      We followed up, in 2013, the subjects who lived near the Athens International Airport and had participated in the cross-sectional multicountry HYENA study in 2004-2006.
    • Pubertal Timing and Cardiometabolic Markers at Age 16 Years.

      Berentzen, Nina E; Wijga, Alet H; van Rossem, Lenie; Postma, Dirkje S; Gehring, Ulrike; Smit, Henriëtte A (2017-08)
      To examine the association between pubertal timing and cardiometabolic markers among adolescents.
    • Self-rated health and all-cause and cause-specific mortality of older adults: Individual data meta-analysis of prospective cohort studies in the CHANCES Consortium.

      Bamia, Christina; Orfanos, Philippos; Juerges, Hendrik; Schöttker, Ben; Brenner, Hermann; Lorbeer, Roberto; Aadahl, Mette; Matthews, Charles E; Klinaki, Eleni; Katsoulis, Michael; Lagiou, Pagona; Bueno-de-Mesquita, H B As; Eriksson, Sture; Mons, Ute; Saum, Kai-Uwe; Kubinova, Ruzena; Pajak, Andrzej; Tamosiunas, Abdonas; Malyutina, Sofia; Gardiner, Julian; Peasey, Anne; de Groot, Lisette Cpgm; Wilsgaard, Tom; Boffetta, Paolo; Trichopoulou, Antonia; Trichopoulos, Dimitrios (2017-09)
      To evaluate, among the elderly, the association of self-rated health (SRH) with mortality, and to identify determinants of self-rating health as "at-least-good".
    • Use of Repeated Blood Pressure and Cholesterol Measurements to Improve Cardiovascular Disease Risk Prediction: An Individual-Participant-Data Meta-Analysis.

      Paige, Ellie; Barrett, Jessica; Pennells, Lisa; Sweeting, Michael; Willeit, Peter; Di Angelantonio, Emanuele; Gudnason, Vilmundur; Nordestgaard, Børge G; Psaty, Bruce M; Goldbourt, Uri; Best, Lyle G; Assmann, Gerd; Salonen, Jukka T; Nietert, Paul J; Verschuren, W M Monique; Brunner, Eric J; Kronmal, Richard A; Salomaa, Veikko; Bakker, Stephan J L; Dagenais, Gilles R; Sato, Shinichi; Jansson, Jan-Håkan; Willeit, Johann; Onat, Altan; de la Cámara, Agustin Gómez; Roussel, Ronan; Völzke, Henry; Dankner, Rachel; Tipping, Robert W; Meade, Tom W; Donfrancesco, Chiara; Kuller, Lewis H; Peters, Annette; Gallacher, John; Kromhout, Daan; Iso, Hiroyasu; Knuiman, Matthew; Casiglia, Edoardo; Kavousi, Maryam; Palmieri, Luigi; Sundström, Johan; Davis, Barry R; Njølstad, Inger; Couper, David; Danesh, John; Thompson, Simon G; Wood, Angela (2017-10-15)
      The added value of incorporating information from repeated blood pressure and cholesterol measurements to predict cardiovascular disease (CVD) risk has not been rigorously assessed. We used data on 191,445 adults from the Emerging Risk Factors Collaboration (38 cohorts from 17 countries with data encompassing 1962-2014) with more than 1 million measurements of systolic blood pressure, total cholesterol, and high-density lipoprotein cholesterol. Over a median 12 years of follow-up, 21,170 CVD events occurred. Risk prediction models using cumulative mean values of repeated measurements and summary measures from longitudinal modeling of the repeated measurements were compared with models using measurements from a single time point. Risk discrimination (C-index) and net reclassification were calculated, and changes in C-indices were meta-analyzed across studies. Compared with the single-time-point model, the cumulative means and longitudinal models increased the C-index by 0.0040 (95% confidence interval (CI): 0.0023, 0.0057) and 0.0023 (95% CI: 0.0005, 0.0042), respectively. Reclassification was also improved in both models; compared with the single-time-point model, overall net reclassification improvements were 0.0369 (95% CI: 0.0303, 0.0436) for the cumulative-means model and 0.0177 (95% CI: 0.0110, 0.0243) for the longitudinal model. In conclusion, incorporating repeated measurements of blood pressure and cholesterol into CVD risk prediction models slightly improves risk prediction.