International Journal of Cardiology

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International Journal of Cardiology At the heart of the problem - A person-centred, developmental perspective on the link between alcohol consumption and cardio-vascular events Valéria Lima Passos, Sven Klijn, Kevin van Zandvoort, Latifa Abidi, Paul Lemmens International Journal of Cardiology Volume 232, Pages 304-314 (April 2017) DOI: 10.1016/j.ijcard.2016.12.094 Copyright © 2017 The Authors Terms and Conditions

Fig. 1 Flow charts of subjects. International Journal of Cardiology 2017 232, 304-314DOI: (10.1016/j.ijcard.2016.12.094) Copyright © 2017 The Authors Terms and Conditions

Fig. 2 Spaghetti plots based on a random sample of 500 subjects (top row) and estimated mean trajectories plots with 95% confidence bands (bottom row). Horizontal dashed lines represent the lower and upper boundaries of the ex-ante moderate drinking class (7/8 to 14 glasses a week). Baseline prevalence (trajectories' size in %) is also given. International Journal of Cardiology 2017 232, 304-314DOI: (10.1016/j.ijcard.2016.12.094) Copyright © 2017 The Authors Terms and Conditions

Fig. 3 Absolute counts of CVE and CVE-free subjects assigned to the extracted latent trajectories. Crude CVE prevalence per trajectory (%) is given. International Journal of Cardiology 2017 232, 304-314DOI: (10.1016/j.ijcard.2016.12.094) Copyright © 2017 The Authors Terms and Conditions

Fig. 4 Odds Ratios (OR) for CVE and 95% confidence intervals estimated by the multivariable logistic regression model weighted by subjects posterior probability of assignment – Females. International Journal of Cardiology 2017 232, 304-314DOI: (10.1016/j.ijcard.2016.12.094) Copyright © 2017 The Authors Terms and Conditions

Fig. 5 Odds Ratios (OR) for CVE and 95% confidence intervals estimated by the multivariable logistic regression model weighted by subjects posterior probability of assignment – Males. International Journal of Cardiology 2017 232, 304-314DOI: (10.1016/j.ijcard.2016.12.094) Copyright © 2017 The Authors Terms and Conditions

Fig. 6 A. Multi-trajectories latent classes (6 in total denoted A to F) showing interdependencies among beverage-specific AC in late life (solid lines) as well as their link to early total volume AC (dotted lines). AC is glasses/week. B. Conditional distributions of the total AC volume latent trajectories (1 to 7) within each extracted multi-trajectory class (A to F). The colours on the bar charts are the same as the AC trajectory colours displayed in Fig. 2. International Journal of Cardiology 2017 232, 304-314DOI: (10.1016/j.ijcard.2016.12.094) Copyright © 2017 The Authors Terms and Conditions

Fig. 7 Multi-trajectory latent classes odds Ratios (OR) for CVE with 95% confidence intervals. ORs were estimated by multivariable logistic regression models with adjustment for age, education and pack years, weighted by subjects' posterior probability of assignment – Males only. International Journal of Cardiology 2017 232, 304-314DOI: (10.1016/j.ijcard.2016.12.094) Copyright © 2017 The Authors Terms and Conditions

Fig. 8 Deterministic ex-ante classes odds Ratios (OR) for CVE with 95% confidence intervals. ORs were estimated by multivariable logistic regression models with adjustment for age, education and pack years – Males only. International Journal of Cardiology 2017 232, 304-314DOI: (10.1016/j.ijcard.2016.12.094) Copyright © 2017 The Authors Terms and Conditions