2015
DOI: 10.1093/pubmed/fdv160
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A statistical model to describe longitudinal and correlated metabolic risk factors: the Whitehall II prospective study

Abstract: BackgroundNovel epidemiology models are required to link correlated variables over time, especially haemoglobin A1c (HbA1c) and body mass index (BMI) for diabetes prevention policy analysis. This article develops an epidemiology model to correlate metabolic risk factor trajectories.MethodBMI, fasting plasma glucose, 2-h glucose, HbA1c, systolic blood pressure, total cholesterol and high density lipoprotein (HDL) cholesterol were analysed over 16 years from 8150 participants of the Whitehall II prospective coho… Show more

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Cited by 17 publications
(18 citation statements)
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References 26 publications
(27 reference statements)
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“…Individuals were sampled at random with replacement from this dataset to populate the model in which 5 000 000 individuals were simulated. In the model, each individual follows trajectories for HbA 1c , BMI, systolic blood pressure and cholesterol derived from the Whitehall II cohort . In yearly cycles, people visit their general practitioner and may be diagnosed with diabetes, hypertension or dyslipidaemia and treated accordingly.…”
Section: Methodsmentioning
confidence: 99%
“…Individuals were sampled at random with replacement from this dataset to populate the model in which 5 000 000 individuals were simulated. In the model, each individual follows trajectories for HbA 1c , BMI, systolic blood pressure and cholesterol derived from the Whitehall II cohort . In yearly cycles, people visit their general practitioner and may be diagnosed with diabetes, hypertension or dyslipidaemia and treated accordingly.…”
Section: Methodsmentioning
confidence: 99%
“…The model incorporates individual‐level trajectories for BMI, HbA 1c , 2‐h glucose, fasting plasma glucose, systolic blood pressure, total cholesterol and HDL cholesterol. The trajectories are based upon statistical analysis of the Whitehall II cohort . The model was designed to simulate a representative sample of the UK population, by using individuals from survey data from the 2011 Health Survey for England .…”
Section: Methodsmentioning
confidence: 99%
“…Full details of this analysis are described elsewhere. 278 The characteristics of the Whitehall II cohort 277 (civil servants living in London) are likely to differ significantly from that of the STOP Diabetes population. However, there are, to our knowledge, no available longitudinal surveys of populations with ID on which to base a similar analysis, and no other analysis of metabolic trajectories takes into account the correlations between risk factors that make the Whitehall model 277 so powerful.…”
Section: Long-term Longitudinal Trajectories Of Metabolic Factorsmentioning
confidence: 99%