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March 8, 2016European Journal of Epidemiology54 citationsOpen Access

Trajectories of body mass index before the diagnosis of cardiovascular disease: a latent class trajectory analysis

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Population

6126 participants from the prospective population-based Rotterdam Study, of whom 1748 developed…

Design

Cohort

Follow-up

over 22 years

Key result

Among 1,748 participants who developed cardiovascular disease, 87.8% had a stable body mass index trajectory prior to diagnosis, indicating that BMI alone is a poor predictor of CVD risk in older adults.

Authors

KDKlodian DhanaJRJoost van RosmalenDVDorte Vistisen

Discussion

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Overview

Stable weight predominates in this cohort; leaves open associations with cardiometabolic outcomes pending further study.

Study Design

Type

Cohort (n=6,126)

Multicenter

No

Structured PICO

P
Population
6,126 middle-aged and older adults (mean age 68.8 years, 61.8% female) free of prevalent CVD at baseline, followed for a median of 14.7 years to assess BMI trajectories prior to incident cardiovascular disease.
O
Outcome
Trajectories of change in body mass index (BMI) and other cardio-metabolic risk factors before CVD diagnosissurrogate

Most individuals who develop CVD maintain a stable weight prior to diagnosis, suggesting that BMI alone is insufficient for identifying high-risk middle-aged and elderly individuals.

Limitations

  • Latent class analysis creates subgroups with very different sizes, making statistical power comparisons difficult.
  • While participants in the same group tend to be homogenous, some individual variation around the group mean is allowed.

Cite This Study

Dhana et al. (2016) conducted a cohort in Cardiovascular Disease (n=6,126). Body mass index (BMI) trajectories vs. Within-group comparisons of trajectories (stable, progressive gain, progressive loss) was evaluated on Incident cardiovascular disease (coronary heart disease and stroke). Among 1,748 participants who developed cardiovascular disease, 87.8% had a stable body mass index trajectory prior to diagnosis, indicating that BMI alone is a poor predictor of CVD risk in older adults.

synapsesocial.com/papers/6a5f5e4ca2fbe976fe60103bhttps://doi.org/10.1007/s10654-016-0131-0
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