Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10654-016-0131-0
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
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