Non-fatal injuries among Chinese aged 65 years and older: findings from the Fourth National Health Services Survey

ArticleinInjury Prevention 16(4):230-4 · August 2010with6 Reads
DOI: 10.1136/ip.2009.025080 · Source: PubMed
To understand the epidemiology of non-fatal injuries among adults aged 65 years and older in China. Cross-sectional survey (the Fourth National Health Services Survey of China). Urban and rural residents aged 65 years and older from 56,400 households in China. The incidence rate was calculated as the number of persons injured in the previous 12 months divided by the population x 1000. The incidence rate of non-fatal injuries among elderly individuals in the previous 12 months was 37.5 per 1000 population. Home, street, working environment, and public buildings were the most common places of occurrence, accounting for more than 90% of injuries. Falls were the leading cause of non-fatal injuries. After adjusting for other factors, Han people were 39% more likely to be injured than non-Han people, and the divorced and the widowed were found to have, respectively, 4.6 and 2.2 times the risk of injury compared with single persons, p<0.05. Education, per capita household income and urbanisation did not significantly affect the injury risk when confounding factors were controlled for. Almost 4% of adults aged 65 years and over sustain injuries each year in China. Falls should be a priority of injury prevention for elderly people, efficient home injury prevention programmes need to be developed, and the divorced and widowed should be targeted as groups at high risk of injury.
    • "Even in the United States, large differences were reported in average days of being bedridden and of being off work that were caused by two-week illness between metropolitan statistical areas [2] . Unfortunately, very limited urban–rural disparity data are available regarding urban–rural gaps in the severity of non-fatal diseases and injuries for China, the largest low-and middle-income country in the world, despite that the urban–rural disparity has been documented for injury mortality [3], morbidity [4] and hypertension prevalence [5]. Currently, two-week illness causes a huge number of days of being bedridden and of being off work in China. "
    [Show abstract] [Hide abstract] ABSTRACT: Background: To examine urban-rural differences in the severity of non-fatal disease and injury using the latest household interview survey data of Hunan Province, China. Methods: Two-week illness data were from the first provincial health household interview survey of Hunan in 2013. The proportion of patients being bedridden, the average days of being bedridden and the average off-work days were calculated to measure the severity of two-week illness. Rao-Scott-adjusted chi-square test was performed to examine the significance of two-week illness severity differences from demographic variables. Multiple logistic regression and linear regression were used to control for sex, age and household income. Results: The two-week illness prevalence was 22.8 % in Hunan province. Despite similar two-week ill prevalence rates between urban areas and rural areas (23.0 % vs. 22.8 %), rural residents had higher proportions of being bedridden and of being off work than urban residents after controlling for sex, age and household income, with adjusted odds ratios of 3.4 and 6.9, respectively. Similarly, the average days of being bedridden and of being off work in rural residents were 0.45 days and 1.61 days longer than in urban residents after controlling for demographic variables, respectively. Conclusion: The recent data shows that two-week illness in rural residents is more serious than urban residents in Hunan Province, China in spite of very similar two-week prevalence rates. The neglected urban-rural disparities in the severity of two-week illness deserve the attention of health policy-makers and researchers.
    Full-text · Article · Dec 2016
    • "However, many countries do not have high-quality prevalence data of chronic diseases [3]. A household interview survey is a common method of collecting prevalence data, in addition to population-or hospital-based disease registries [3,4]. Many countries adopt household interview surveys to estimate the prevalence rates of chronic diseases [5]. "
    [Show abstract] [Hide abstract] ABSTRACT: Background: Undergoing a routine medical examination may be associated with the prevalence rate of chronic diseases from a population-based household interview survey. However, this important issue has not been examined so far. Methods: Data came from the first health service household interview of Hunan province, China, in 2013. A Rao-Scott chi-square test was performed to examine the difference in prevalence rates between subgroups. Adjusted odds ratio (OR) was calculated using the PROC SURVEYLOGISTIC procedure of SAS9.1 statistical software. Results: In total, 24,282 residents of 8400 households were surveyed. A higher proportion of elderly adults had undergone a medical examination within the prior 12 months compared with young adults (≥65 years, 60%; 45-64 years, 46%; 18-44 years, 37%). After controlling for location, sex, and household income per capita, undergoing a medical examination was significantly associated with high prevalence rates of hypertension (adjusted OR: 2.0, 95% CI: 1.1-3.5) and of diabetes mellitus (adjusted OR: 3.3, 95% CI: 1.7-6.5) for young adults aged 18-44 years. The associations were not statistically significant for age groups 45-64 years and 65 years or older. Conclusion: The prevalence rates of hypertension and diabetes mellitus may be seriously underestimated for young adults not undergoing a routine medical examination in a health household interview survey.
    Full-text · Article · Jun 2016
  • [Show abstract] [Hide abstract] ABSTRACT: To determine the relationship between admission diagnosis and admission score on Functional Independence Measure (FIM) to the likelihood that a patient will fall. To measure the effectiveness of a multifactorial program to reduce falls. The Quality Improvement Team put in place a multifactorial program to reduce the incidence of falls on an inpatient rehabilitation unit. The authors reviewed the records of all patients admitted to the rehabilitation unit between January 2006 and December 2009 to determine if the program resulted in a reduced rate of falls. The authors also reviewed the data to evaluate if admission score on the FIM and the diagnosis or impairment group of the patient are related to the risk of fall. FIM score is inversely related to the rate of falls. Patients with admission diagnosis of stroke, brain injury, amputation, neurologic disorders (Parkinson's disease, multiple sclerosis, Guillain-Barre, myopathy, peripheral neuropathy), and spinal cord injury are at higher risk for fall than patients whose admission diagnosis related to orthopedic, cardiac, pulmonary disorders, prolonged stay on medical or surgical units, or trauma without spinal cord injury or head injury. There was a significant reduction in the rate of falls from 14.9% to 7.3% of patients admitted to the IRF. Patients with low FIM scores, disorders of the central and peripheral nervous system, and amputations are at high risk of fall. Compliance with recommended guidelines can reduce the rate of fall and improve patient safety. The rate of falls on an IRF will be determined in part by the case mix and functional levels of the patients on the unit. Strict adherence to appropriate nursing protocols can reduce the rate of falls.
    Article · Mar 2012
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