Publications by authors named "J A Critchley"
Background: While people with type 2 diabetes (T2D) are more susceptible to infections, studies potentially underestimate the true burden of infection-related mortality since they rely on clinical coding systems primarily structured by body system, and by only focusing on underlying cause. This study examined cause-specific mortality in people with T2D compared to the general population during 2015-2019, focusing on infections.
Methods: 509,403 people aged 41-90 years with T2D alive on 1/1/2015 in Clinical Practice Research Datalink were matched to 976,431 without diabetes on age, sex, and ethnicity.
Introduction: The COVID-19 pandemic overwhelmed health systems, resulting in a surge in excess deaths. This study clustered countries based on excess mortality to understand their response to the pandemic and the influence of various factors on excess mortality within each cluster.
Materials And Methods: This ecological study is part of the COVID-19 MORtality (C-MOR) Consortium.
Background: Limited evidence suggests elevated risks of cardiovascular disease (CVD) among people diagnosed with tuberculosis (TB) disease, though studies have not adjusted for pre-existing CVD risk. We carried out a cohort study using two separate datasets, estimating CVD incidence in people with TB versus those without.
Methods: Using data from the United States (Veterans Health Administration) and the United Kingdom (Clinical Practice Research Datalink) for 2000-2020 we matched adults with incident TB disease and no CVD history 2-years before TB diagnosis (US n=2,121; UK n=15,820) with up to 10 people without TB on the basis of age, sex, race/ethnicity and healthcare practice.
Introduction: To estimate the impact of reducing obesity, smoking, and physical inactivity (PIA) prevalence, and of introducing physical activity (PA) as an explicit intervention, on the prevalence, incidence, and mortality of type 2 diabetes mellitus (T2DM) in Oman.
Research Design And Methods: A deterministic population-level mathematical model was employed to investigate the impact of different scenarios for reducing T2DM risk factors on T2DM epidemiology. The model was stratified by sex, age group, risk factor status, T2DM status, and intervention status and parameterized with nationally representative data.
Background: There is a growing epidemic of chronic non-communicable diseases in low and middle-income countries, often attributed to urbanization, although there are limited data from marginalized rural populations. This study aimed to estimate prevalence of cardiometabolic diseases and associated risk factors in transitional rural communities.
Methods: A cross-sectional study of Montubio adults aged 18-94 years living in agricultural communities in a tropical coastal region of Ecuador.