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Title: | Trajectories of body mass index before the diagnosis of cardiovascular disease: a latent class trajectory analysis | Authors: | Dhana, K van Rosmalen, J Vistisen, D Ikram, M.A Hofman, A Franco, O.H Kavousi, M |
Keywords: | glucose high density lipoprotein cholesterol high density lipoprotein cholesterol adult aged Article body mass cardiometabolic risk cardiovascular disease cardiovascular risk cholesterol blood level clinical examination cohort analysis diastolic blood pressure female follow up glucose blood level human major clinical study male middle aged outcome assessment population research prospective study systolic blood pressure waist circumference weight gain weight reduction blood pressure Cardiovascular Diseases health survey Netherlands obesity pathophysiology physiology risk factor Aged Blood Pressure Body Mass Index Cardiovascular Diseases Cholesterol, HDL Female Follow-Up Studies Humans Male Middle Aged Netherlands Obesity Population Surveillance Prospective Studies Risk Factors Waist Circumference Weight Gain |
Issue Date: | 2016 | Publisher: | Springer Netherlands | Citation: | Dhana, K, van Rosmalen, J, Vistisen, D, Ikram, M.A, Hofman, A, Franco, O.H, Kavousi, M (2016). Trajectories of body mass index before the diagnosis of cardiovascular disease: a latent class trajectory analysis. European Journal of Epidemiology 31 (6) : 583-592. ScholarBank@NUS Repository. https://doi.org/10.1007/s10654-016-0131-0 | Rights: | Attribution 4.0 International | Abstract: | Patients with cardiovascular disease (CVD) are a heterogeneous group regarding their body mass index (BMI) levels at the time of diagnosis. To address the heterogeneity of CVD, we examined the trajectories of change in body mass index (BMI) and in other cardio-metabolic risk factors before CVD diagnosis. The study included 6126 participants from the prospective population-based Rotterdam Study, followed over 22 years with clinical examinations every 4 years. Latent class trajectory analysis and mixed-effect models were used to develop trajectories of BMI and other cardio-metabolic risk factors respectively. During follow-up, 1748 participants developed CVD, among whom we identified 3 distinct BMI trajectories. The majority of participants (n = 1534, 87.8 %) had steady BMI levels during follow-up, comprising the “stable weight” group. This group showed decrease in mean high-density lipoprotein (HDL) cholesterol over time. The second group, the “progressive weight gain” group (n = 112, 6.4 %), showed a progressive increase in BMI levels. In this group, mean waist circumference increased, mean HDL cholesterol decreased and mean fasting glucose levels were fluctuating over follow-up. In the third group, the “progressive weight loss” group (n = 102, 5.8 %), BMI levels decreased during follow-up. This group showed a decrease in mean waist circumference and in fasting glucose. In conclusion, the majority of individuals who developed CVD had a stable weight during follow-up, suggesting that BMI alone is not a good indicator for identifying middle-aged and elderly individuals at high risk of CVD. Waist circumference, HDL cholesterol, and glucose trajectories differed between the identified BMI subgroups, further highlighting that CVD is a heterogeneous disease with different pathophysiological pathways. © 2016, The Author(s). | Source Title: | European Journal of Epidemiology | URI: | https://scholarbank.nus.edu.sg/handle/10635/179571 | ISSN: | 0393-2990 | DOI: | 10.1007/s10654-016-0131-0 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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