Evidence map›Paper›PMID 42118203›Full record

ArticleHealth economics review2026

Longitudinal trends and future projections of injury-related economic burden among middle-aged and older adults in China: analysis of CHARLS data 2011-2018.

Shaobo Zeng, Chen Liang, Shuanglong Yuan, Shuang Han, Caihong Li, Abulikemu Aili, Yaying Zhang, Guliziba Kuerbanjiang, Mingqin Cao

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Article in Health economics review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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9 authors.

Shaobo ZengDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830017, China.
Chen LiangDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830017, China.
Shuanglong YuanDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830017, China.
Shuang HanDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830017, China.
Caihong LiDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830017, China.
Abulikemu AiliDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830017, China.
Yaying ZhangDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830017, China.
Guliziba KuerbanjiangDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830017, China.
Mingqin CaoDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830017, China. 573596229@qq.com.

Funding

The National Natural Science Foundation of China 82460669
6 · The paper itself

Abstract

backgroundExisting studies on the economic burden of injury in China lack dynamic, national-level assessments. Using data from the China Health and Retirement Longitudinal Study (CHARLS, 2011-2018), this study examined trends in injury prevalence and economic burden among middle-aged and elderly adults and predicted the burden for 2021-2025. The findings aim to inform national injury prevention strategies and health policy-making.

methodsData were extracted from four waves of the CHARLS database (2011, 2013, 2015, and 2018). After excluding missing values, the study included 9,742, 9,586, 10,198, and 12,202 residents aged 45 and above, respectively. To address the common issues of excess zeros and skewed distributions in medical expenditure data, a two-part model was employed to estimate the per capita direct and indirect economic burdens of the injured population, and to analyze the variations in these burdens across different demographic characteristics. Furthermore, a GM(1,1) model was utilized on limited time-series data to forecast the economic burden of injuries from 2021 to 2025.

resultsThe prevalence of injury among middle-aged and elderly individuals was 22.57% in 2011, 18.10% in 2013, 20.58% in 2015, and 19.45% in 2018, demonstrating an overall downward trend. Compared to 2011, the direct economic burden of injuries in 2018 decreased by 93.62% (from 9,689.6 CNY to 618.4 CNY), while the indirect economic burden decreased by 64.12% (from 321.1 CNY to 115.2 CNY). Stratified analysis indicated that the overall economic burden was higher for urban residents than for their rural counterparts; females bore a higher direct economic burden than males; and individuals with lower cognitive levels faced a higher economic burden than those with better cognitive function. Projections for 2021-2025 suggest that the economic burden of injuries in China will continue to decline, with the average direct and indirect economic burdens expected to drop to 191.3 CNY and 77.2 CNY, respectively, by 2025.

conclusionThe prevalence and economic burden of injury among middle-aged and older Chinese adults generally declined. However, urban residents, females, and populations with low cognitive levels continued to sustain comparatively higher economic burdens. Governments and society should refine policies targeting these key populations and strengthen injury prevention education in communities and public spaces to further reduce injury incidence and the associated economic losses.

Indexed as

CHARLSEconomic BurdenInjuryMiddle-aged and Older AdultsTwo-Part Model

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PMID42118203
PMCPMC13343630

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