Evidence map›Paper›PMID 39543580›Full record

ArticleBMC medicine2024

Analysing premature cardiovascular disease mortality in the United States by obesity status and educational attainment.

Han Li, Tim Adair

Abstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Han LiCentre for Actuarial Studies, Faculty of Business and Economics, The University of Melbourne, Level 3, Building 105, 111 Barry Street, Melbourne, VIC, 3010, Australia.
Tim AdairNossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Level 2, 32 Lincoln Square North, Melbourne, VIC, 3010, Australia. timothy.adair@unimelb.edu.au.

Funding

Society of Actuaries ML212
6 · The paper itself

Abstract

backgroundIn the United States (US), premature cardiovascular disease (CVD) mortality rates (35-74 years) have exhibited increases in recent years, particularly in younger adults, and large differentials by educational attainment. This trend has occurred concurrently with high and increasing obesity prevalence, which also show significant differences by education. This study aims to jointly model premature CVD mortality trends in the US according to obesity status and educational attainment.

methodsWe used multiple cause of death data from the National Center for Health Statistics, obesity prevalence data from the National Health and Nutrition Examination Survey (NHANES), and educational attainment data from the American Community Survey and NHANES. We applied Bayes' theorem to these data to calculate the conditional probability of premature CVD mortality given obesity status and educational attainment for 2003-2019. We then projected this conditional probability for 2020-2029 using the Lee-Carter model.

resultsThe probability of premature CVD mortality was greatest for obesity and low education (not graduated high school) and was substantially higher (females 6.7 times higher, males 5.9) compared with non-obesity and high education (Bachelor's degree or higher) in 2019. There was a widening of the gap in premature CVD mortality from 2003 to 2019 between the obese and non-obese populations, which occurred at each education level and was projected to continue in 2020-2029, especially for males. The conditional probability of premature CVD death for obesity and middle education (finished high school but no Bachelor's degree) increased substantially and was projected to surpass the level for non-obesity and low education in coming years for males and in younger age groups. At high education, the conditional probability of premature CVD death for the obese population was projected to increase to 2029, while for non-obesity it was projected to remain steady for females and fall for males; this projected widening is greatest at older age groups.

conclusionsThe findings demonstrate the public health challenge to reduce premature US CVD mortality posed by continued high obesity prevalence, especially for younger ages, lower education groups and males. The relative importance of obesity in influencing premature CVD mortality trends has risen partly due to the decline in CVD mortality attributable to other risk factors.

Indexed as

Cardiovascular DiseasesEducational StatusMortality, PrematureObesityAdultAgedBayes TheoremFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceUnited StatesCardiovascular diseasesEducationMortalityMultiple causes of deathObesityUnited States

Identifiers

PMID39543580
PMCPMC11566442

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.