Principal Investigator: Emanuele Di Angelantonio (Previous PI Dr David Wormser)
Department: Public Health & Primary Care
Institution: University of Cambridge
University of Cambridge
Public Health & Primary Care
Strangeways Research Laboratory
Cambridge, CB1 8RN
There has been a dramatic increase in adiposity over the last few
decades, resulting in more than 1 billion overweight adults and 300
million obese worldwide. Excess body fat has been associated with
several biochemical, lifestyle and other characteristics, as well as with
multiple chronic diseases, including type 2 diabetes, coronary disease,
stroke, and several site-specific cancers.
However, previous studies have been underpowered to directly
compare these associations across various measures of adiposity,
including body-mass index, waist-circumference, waist-to-hip ratio, and
percentage body fat mass.
The objective of this research is:
(1) to assess precisely any cross-sectional associations of adiposity
measures with biological, lifestyle and other characteristics (including
biochemistry markers, when available). This analysis will help to:
(i) determine to what extent adiposity measures share related
(ii) investigate the determinants of adiposity measures; and
(iii) investigate potential biological pathways of the underlying
association between adiposity and disease.
(2) to determine within-person variability in adiposity measures using
(3) to characterise and compare the associations of adiposity measures
with future risk of all-cause mortality, and, when sufficient
events/deaths are available in UK Biobank, with risk of site-specific
cancers and cause-specific mortality.
This research involves the use of data only (ie, no samples are required)
and will help to better understand factors that affect adiposity levels and
clarify the relative importance of adiposity measures on disease risk. The
number and the range of risk factors available in UK Biobank provide a
unique opportunity to study such associations in all participants with
information on weight, height, waist and hip circumference, and
percentage body fat. In the first phase, we would also require
information on socio-demographic, lifestyle, environment, early life,
psychosocial and physical measures. When available in UK Biobank, we
would like data on biomarkers and serial measurements of adiposity
measures to investigate their within-person variability.