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Khubchandani, Jagdish

https://orcid.org/0000-0002-9058-4278

A5086548439 | I10052268

Mayo Clinic

New Mexico State University

Citations 6

Modifiable Risk Factors and Attributable Ischemic Heart Disease Mortality in US States, 1990-2023

JAMA Cardiology | July 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jamacardio.2026.2435 | PMID 42455550

Importance Ischemic heart disease (IHD), the leading cause of death in the US, is predominantly due to modifiable risk factors. Estimates of IHD mortality attributable to risk factors provide evidence for health policy decision-making. Objective To estimate the burden of IHD death attributable to risk factors in the US from 1990-2023. Design, Setting, and Participants The Global Burden of Disease Study 2023 (GBD 2023) used vital records and a broad set of epidemiologic data to estimate IHD death rates, risk factor exposure, and relative risk curves for risk-outcome pairs for 1990-2023 for the general population. Data analysis was performed from October 2024 to December 2025. Exposure Twelve metabolic, behavioral, and environmental risk factors. Main Outcomes and Measures The primary outcomes were IHD death rates per 100 000 persons, counts, and attributable risks from 1990-2023 by age, sex, and US state. Estimates include 95% uncertainty intervals (UI). IHD death rates were estimated using ensemble modeling methods. Risk exposures were estimated using bayesian meta-regression methods. Relative risks were estimated following the Burden of Proof framework. Results In 2023, there were 473 000 IHD deaths (95% UI, 414 000-510 000) in the US, a decrease of 58.7% (95% UI, 56.8%-61.0%) in age-standardized rate since 1990. Between 2010 and 2023, there was a 19.0% decrease (95% UI, 15.0%-22.9%) for males and a 24.5% decrease (95% UI, 20.3%-29.7%) for females in IHD death rates. High systolic blood pressure (SBP), dietary risks, and high low-density lipoprotein cholesterol (LDL-C) were the leading risk factors for IHD deaths in 2023, accounting for 47.2% (95% UI, 36.4%-57.0%), 38.6% (95% UI, 17.2%-56.8%), and 28.5% (95% UI, 19.3%-39.6%) of IHD deaths, respectively. Increased exposure to several risk factors substantially increased their attributable burden for IHD deaths in 2023, with high fasting plasma glucose (FPG) increasing 38.8% (95% UI, 11.5%-81.1%) and high body mass index (BMI) increasing 54.5% (95% UI, 41.8%-66.3%) since 1990. Smoking and particulate matter pollution had the greatest decrease in attributable IHD mortality since 1990, at 33.3% (95% UI, 23.6%-41.7%) and 74.9% (95% UI, 46.7%-88.8%), respectively. Conclusion and Relevance Per the results of this systematic analysis of GBD 2023, a total of 88.7% (95% UI, 83.4%-92.5%) of IHD deaths were attributable to modifiable risk factors in the US in 2023, with high SBP, dietary risks, and high LDL-C being the greatest contributors. High BMI and high FPG showed the largest attribution increases, while exposure to other risks did not increase significantly for the population.
Burden of Neurological Disorders Across the US From 1990-2017

JAMA Neurology | November 2, 2020 | Volume: 78 | Issue: 2 | Pages: 165

10.1001/jamaneurol.2020.4152 | PMID 33136137

Burden of injury along the development spectrum: associations between the Socio-demographic Index and disability-adjusted life year estimates from the Global Burden of Disease Study 2017

Injury Prevention | January 9, 2020 | Volume: 26 | Issue: Suppl 2 | Pages: i12-i26

10.1136/injuryprev-2019-043296 | PMID 31915273

Background The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates. Methods Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm—the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate. Results For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced. Conclusions The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.
Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017

JAMA Oncology | September 27, 2019 | Volume: 5 | Issue: 12 | Pages: 1749

10.1001/jamaoncol.2019.2996 | PMID 31560378

The State of US Health, 1990-2016

JAMA | April 10, 2018 | Volume: 319 | Issue: 14 | Pages: 1444

10.1001/jama.2018.0158 | PMID 29634829

Community-Engaged Strategies to Increase Diversity of Participants in Health Education Research

Health Promotion Practice | April 18, 2016 | Volume: 17 | Issue: 3 | Pages: 323-327

10.1177/1524839916644713 | PMID 27091602

Minorities have historically been underrepresented in health-related research. Several strategies have been recommended to increase the participation of minorities in health-related research. However, most of the recommendations and guidelines apply to research in clinical or laboratory contexts. One of the more prominent methods to enhance minority participation in health-related research that has recently come to the fore is the use of community-engaged strategies. The purpose of this article is to summarize community-engaged outreach efforts that can be translated into useable strategies for health education research teams seeking to diversify the pool of research participants. Also, we provide a succinct overview of the various components of a research endeavor that may influence minority participation in health-related research. Finally, we analyze how health education specialists and SOPHE (Society of Public Health Education) can play a leading role in helping enhance minority participation in health-related research.