• The association between anthropometric measures of adiposity and the progression of carotid atherosclerosis 

      Imahori, Yume; Mathiesen, Ellisiv B.; Morgan, Katy E.; Frost, Chris; Hughes, Alun D.; Hopstock, Laila Arnesdatter; Johnsen, Stein Harald; Emaus, Nina; Leon, David Adrew (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-17)
      <i>Background</i> - Few reports are available on the contribution of general and abdominal obesity to the progression of carotid atherosclerosis in late adulthood. This study investigated the impact of four simple anthropometric measures of general and abdominal obesity on the progression of carotid atherosclerosis and the extent to which the association between adiposity and the progression of ...
    • Effect of adiposity on differences in carotid plaque burden in studies conducted in Norway and Russia: a cross-sectional analysis of two populations at very different risk of cardiovascular mortality 

      Imahori, Yume; Frost, Chris; Mathiesen, Ellisiv B.; Ryabikov, Andrey; Kudryavtsev, Alexander V; Malyutina, Sofia; Kornev, Michael; Hughes, Alun D; Hopstock, Laila Arnesdatter; Leon, David Adrew (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-05-06)
      <i>Objectives</i> - Large differences exist in the burden of cardiovascular disease (CVD) between Russia and Western European countries including Norway. Obesity prevalence may contribute to the differences. We investigated whether difference in the level of adiposity, assessed using body mass index and waist-to-hip ratio(WHR), could explain intercountry differences in the burden of carotid plaque, ...
    • Reflection on modern methods: Calculating a sample size for a repeatability sub-study to correct for measurement error in a single continuous exposure 

      Morgan, Katy E; Cook, Sarah; Leon, David Adrew; Frost, Chris (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-04-23)
      Using a continuous exposure variable that is measured with random error in a univariable linear regression model leads to regression dilution bias: the observed association between the exposure and outcome is smaller than it would be if the true value of the exposure could be used. A repeatability sub-study, where a sample of study participants have their data measured again, can be used to correct ...