Health Effects of Metabolic Risks in the United States From 1990 to 2019.

Ruifang Chen, Saeid Safiri, Masoud Behzadifar, Jude Dzevela Kong, Mohamed Sami Zguira, Nicola Luigi Bragazzi, Wen Zhong, Weiru Zhang

Journal: Frontiers in public health 2022;10():751126

PMID: 35174121

Abstract

INTRODUCTION

Metabolic risks including high body mass index, high fasting plasma glucose, high low-density lipoprotein cholesterol, high systolic blood pressure, kidney dysfunction and low bone mineral density, contribute heavy burden to the US health systems. We aimed to investigate the burden attributable to metabolic risks in the US from 1990 to 2019.

METHODS

Using methodology of Global Burden of Disease Study, the deaths and DALYs attributable to metabolic risks were analyzed by age, gender, states, Socio-demographic Index (SDI) and diseases from 1990 to 2019 in the US.

RESULTS

In 2019, the age-standardized death and DALY rates attributable to metabolic risks were 174.9 and 4738.7 per 100,000 people, accounting for 33.1% and 18.2% of death and DALY rates from all causes in the US, and there was a decrease by -32.5% and -21.2% in age-standardized death and DALY rates since 1990. The burden attributable to metabolic risks increased with age, and was higher in males than females. In addition, the burden varied widely across the states, generally in inverse proportion to the SDI levels, and the heaviest burden was observed in East and West South-Central of the US. Cardiovascular diseases carried heavy burden attributable to metabolic risks.

CONCLUSION

The burden attributable to metabolic risks remained major public health concerns in the US. Prevention of metabolic risks should be a high priority in the US.

Copyright © 2022 Chen, Safiri, Behzadifar, Kong, Zguira, Bragazzi, Zhong and Zhang.

Address: Medical Experimental Center, The Third Xiangya Hospital, Central South University, Changsha, China.; Neurosciences Research Center, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran.; Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran.; Department of Mathematics and Statistics, Centre for Disease Modelling, York University, Toronto, ON, Canada.; Department of Physiology and Lung Function Testing, Faculty of Medicine Ibn-El-Jazzar, University of Sousse, Sousse, Tunisia.; Department of General Medicine, Xiangya Hospital, Central South University, Changsha, China.; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
Bant logo

© Copyright 2026, Nutrition Evidence

NED wishes to thank the following organisations for their support:

We use cookies to improve your experience and analyze site traffic with Google Analytics. By continuing to use our site, you agree to our use of cookies. Learn more.