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ORIGINAL RESEARCH

Changing Trends in the Disease Burden of Cataract and Forecasted Trends in China and Globally from 1990 to 2030

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Pages 525-534 | Received 21 Feb 2023, Accepted 18 Apr 2023, Published online: 01 May 2023
 

Abstract

Aim

To explore the trends in the prevalence and disease burden of cataract from 1990 to 2019, evaluate attributable risk factors, and predict trends over the next decade in China and globally.

Methods

Data was obtained from Global Burden of Disease Study 2019. We calculated the age-standardized prevalence rate (ASR) and annual percentage change (EAPC) to show the trends of cataract in China and different regions. We calculated and reported the proportion of disability adjusted life years (DALYs) attributable to risk factors by sex in China and different regions. Then, the Bayesian age-period-cohort (BAPC) analysis model was also used to predict the prevalence trends from 2020 to 2030 in China and globally.

Results

The ASR increased from 867.09 in 1990 to 991.56 in 2019 per 100,000 with an EAPC of 0.88 in China. The age-standardized DALY rate of females was higher than males. DALY rates were correlated to household air pollution from solid fuels, tobacco, high fasting plasma glucose and high body-mass index. The projective model indicates that the ASR for cataracts will rise to 1101.35×106 for male and 1616.63×106 for female by 2030.

Conclusion

The trends from 1990 to 2030 suggested that the burden of cataract remains high in China. Maintaining good lifestyle habits such as switching to clean energy, reducing cigar intake, controlling blood glucose and weight can reduce the risk of cataracts. As aging increases, China should pay more attention to cataract-induced low vision and blindness and develop public policies to reduce the disease burden.

Acknowledgments

We thank the GBD Collaborators who shared these publicly available data. Thanks to Xiao Ming ([email protected]) for his work in the GBD database. His excellent sharing of GBD database analysis procedure, makes it easier for us to explore the GBD database.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

The authors declared no conflict of interest.

Additional information

Funding

This research was funded by the National Natural Science Foundation of China (82070920), Project supported by Clinical Research Project of Tongji Hospital of Tongji University (ITJ(ZD)2101), and Excellent Personnel Training Plan for the Shanghai Health System (SHDC2022CRD008).