This historical study examines the development of coronary heart disease (CHD) research and its role in the evolution of post-1945 chronic disease epidemiology in the United States. To give the examination greater salience, it compares the pathway represented by CHD epidemiology with that of lung cancer. Historians have paid less attention to the differences between the two, which later merged into what we now call 'risk factor epidemiology'. This study assesses why CHD epidemiology in the post-war period almost uniformly began with cohort studies and primarily stressed clinical variables as putative aetiological factors. It describes how CHD epidemiologists sought to justify the creation of a non-infectious chronic disease epidemiology, a position reinforced by the relative swiftness with which they obtained important results. It also follows the emergence of 'risk factor thinking' within CHD epidemiology. CHD epidemiology critically differed from its lung cancer counterpart in that it identified multiple factors of risk, each producing relatively small effects, rather than a single factor producing a strong and evident outcome. Consequently, it was difficult for CHD epidemiologists to demonstrate causality and to confirm scientifically that reducing risk factors would lower CHD rates. This had significant consequences for primary prevention and public health policy.
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http://dx.doi.org/10.1093/ije/dyl014 | DOI Listing |
PLoS One
January 2025
Department of Global Public Health and Primary Care, Faculty of Medicine, University of Bergen, Bergen, Norway.
Background: Studies have reported that pregnancies conceived by fathers with modifiable cardiovascular risk factors are at higher risk of ending in losses compared to those without such risk factors. Our objective was to examine the association between paternal family history _a non-modifiable risk factor_ of premature atherosclerotic disease and perinatal death.
Methods: This is a population-based cohort study.
Nat Commun
January 2025
Department of Endocrinology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
The role of dairy products in cardiovascular disease (CVD) prevention remains controversial. This study investigates the association between dairy consumption and CVD incidence using data from the China Kadoorie Biobank and the UK Biobank, complemented by an updated meta-analysis. Among Chinese participants, regular dairy consumption (primarily whole milk) is associated with a 9% increased risk of coronary heart disease (CHD) and a 6% reduced risk of stroke compared to non-consumers.
View Article and Find Full Text PDFJACC Adv
January 2025
Department of Epidemiology, University of California, Los Angeles, California, USA.
Background: There is significant heterogeneity in cardiovascular disease (CVD) risk among patients with diabetes mellitus (DM).
Objectives: The purpose of this study was to develop risk scores for total CVD and its components from a contemporary pooled, observational cohort of U.S.
Clin Epidemiol
December 2024
Cardiovascular Epidemiology Research Centre, School of Population and Global Health, The University of Western Australia, Crawley, Western Australia, Australia.
Purpose: Measures of disease burden using hospital administrative data are susceptible to over-inflation if the patient is transferred during their episode of care. We aimed to identify and compare measures of coronary heart disease (CHD) and myocardial infarction (MI) episodes using six algorithms that account for transfers.
Patient And Methods: We used person-linked hospitalisations for CHD and MI for 2000-2016 in Western Australia based on the interval between discharge and subsequent admission (date, datetime algorithms), pathway (admission source, discharge destination) and any combination to generate machine learning models (random forest [RF], gradient boosting machine [GBM]).
PLoS One
December 2024
Public Health School, Gansu University of Chinese Medicine, Lanzhou, China.
Background And Objective: The prevalence rate of LDH and its influencing factors in Gansu is unclear. This study aims to analyze the prevalence of LDH and influencing factors in Gansu.
Methods: A stratified multi-stage random sampling method was used to obtain representative samples of residents more than 18 years old from <1500m, 1500-3500m, and >3500m altitude sites in Gansu, China, in June 2022 to August 2022.
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