Socioeconomic Inequalities and Occupational Injury Disability in China: A Population-Based Survey

Abstract

Objective: To estimate the prevalence of occupational injury disability (OID) and to examine the socioeconomic status of OID in China. Methods: The data derived from the China National Sample Survey on Disability in 2006 involving people aged 16–59 years old. Descriptive statistics are used to measure OID’s prevalence, and a binary logistic regression is used to identify the risk factors. Results: The population-weighted prevalence of OID is 1.81 (95% confidence interval (CI): 1.67–1.94). Socioeconomic risk factors include male sex, older age, living in urban areas, junior high school education, income below the poverty line, a lack of occupational injury insurance, living in the western region and working in high-risk occupations. Conclusions: OID is common among Chinese people aged 16–59 years old. Being male or older and having a lower income are risk factors for OID, similar to the results of previous research, but education is different. More training and education needs to be implemented to prevent OID.

The disease burden attributable to 18 occupational risks in China: an analysis for the global burden of disease study 2017

“…Occupational injuries were the leading risk for attributable DALYs in China. A previous report showed occupational injuries and disabilities were common among Chinese workers [24]. In comparison, the leading risk for occupational burden was ergonomic factors in developed countries.…”

“…In comparison, the leading risk for occupational burden was ergonomic factors in developed countries. Socioeconomic inequality is one of the main reasons for this difference [24][25][26][27][28]. The type and income of occupations, age, and education levels are important influence factors of occupational injuries [25,26].…”

“…The economic transition from agriculture to manufacturing industry causes the migration of great rural labor forces into factories, and migrant workers have become an important part of the population who are subject to occupational hazards [29,30]. For example, migrant workers account for 80% of total workers in the construction industry [24]. With poor educational backgrounds, migrant workers are only able to locate jobs with low wages, high-risk operation, and long working hours.…”

Hospitalization Rates Difference of Adult Emergency Patients between Urban and Suburban in Tianjin

“…With the rapid development of economic, more and more factories, highways as well as buildings were founded in suburban districts, which attracted a great deal of younger people working and living these places and meanwhile, it led to an increased incidence of injuries sustained in road traffic accidents [14]. In addition, their relative lower socioeconomic status leads to more injury, especially traffic accidents [34,35].…”

“On the books” yet “off the record”-occupational injury and migrant women: scoping review findings from OECD countries, with implications for New Zealand

“…Further, the WRI experiences of migrant women workers may be shaped by family responsibilities as primary caregivers of children ( 21 ), family separation ( 20 , 22 ), and provision of remittances to support family remaining in the country of origin ( 23 ). These may occur alongside other recognized mechanisms of WRI disparity including gender ( 24 – 28 ), race ( 29 – 31 ), ethnicity ( 28 , 31 – 34 ), immigration status ( 26 , 35 – 37 ), socio-economic status ( 38 , 39 ), educational background ( 40 ), and language proficiency ( 41 , 42 ).…”