Coding of Obesity-related Mortality Impacts Estimates of Obesity on U.S. Life Expectancy
Tilstra, A. M.; Aburto, J. M.; Gutin, I.; Dowd, J. B.
Show abstract
BackgroundHigh levels of obesity remain an important population health problem in the U.S. and a possible contributor to stalling life expectancy. However, reliable estimates of the contribution of obesity to mortality in the U.S. are lacking, because of inconsistent coding of obesity-related causes of death. MethodsWe compare five International Classification of Diseases version 10 (ICD-10) coding schemes for obesity-related mortality used in the literature and examine how the magnitude of obesity-related mortality burdens varies across different schemes. We use U.S. multiple cause of death data and population estimates for the Black, white, and Latino population in the years 2010, 2015, and 2020. In sex- and race/ethnic-stratified analyses, we estimate the potential years of life expectancy gained if obesity-related mortality had not occurred as measured by each coding scheme. ResultsWe estimate that obesity-related mortality contributes to up to 78 months (6.5 years) of lost U.S. life expectancy, though estimates range from as low as 0 months, with a median contribution across ICD-10 coding schemes of about 20 months (1.7 years). Despite substantial variation across coding schemes, obesity-related mortality consistently contributes more to life expectancy deficits for Black Americans compared to white and Latino Americans. Across all ICD-10 coding schemes, the age pattern of obesity follows a J-shaped curve, suggesting exponential increases in obesity-related mortality after age 25. ConclusionsThe estimation of the burden of obesity-related mortality on life expectancy in the United States varies widely depending on the causes of death used in analyses. This inconsistency may obscure our understanding of the contribution of obesity-related mortality to trends in life expectancy. We propose a standardization of the coding of obesity-related mortality for future studies and outline which causes should be included.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Reductions in US life expectancy from COVID-19 by Race and Ethnicity: Is 2021 a repetition of 2020? 94%
- Magnitude, pattern and correlates of multimorbidity among patients attending chronic outpatient medical care in Bahir Dar, northwest Ethiopia: the application of latent class analysis model 92%
- Inflammatory Markers And Body Mass Index Amoung Hispanic Children 91%
Similar papers in this journal
- Genetic and environmental effects on weight gain from young adulthood to old age and its association with body mass index at early young adulthood: an individual-based pooled analysis of 16 twin cohorts 91%
- Genetic and environmental influences on educational disparities in adult weight change: an individual-based pooled analysis of 11 twin cohorts 90%
- Evidence for protein leverage on Total Energy Intake, but not Body Mass Index, in a large cohort of older adults 90%
Similar papers in this journal
- The US Midlife Mortality Crisis Continues: Excess Cause-Specific Mortality During 2020 91%
- A hypothetical intervention to reduce inequities in anxiety for Multiracial people: simulating an intervention on childhood adversity 91%
- A structural mean modelling Mendelian randomization approach to investigate the lifecourse effect of adiposity: applied and methodological considerations 90%
Similar papers in this journal
- Reductions in 2020 US life expectancy due to COVID-19 and the disproportionate impact on the Black and Latino populations 94%
- Significant impacts of the COVID-19 pandemic on race/ethnic differences in USA mortality 93%
- Estimating the lives that could be saved by expanded access to weight-loss drugs 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.