Literature DB >> 24465534

Study on the trend and disease burden of injury deaths in Chinese population, 2004-2010.

Lijuan Zhang1, Zhiqiang Li1, Xucheng Li1, Jie Zhang1, Liang Zheng1, Chenghua Jiang1, Jue Li1.   

Abstract

Injuries are a growing public health concern in China, accounting for more than 30% of all Person Years of Life Lost (PYLL) due to premature mortality. This study analyzes the trend and disease burden of injury deaths in Chinese population from 2004 to 2010, using data from the National Disease Surveillance Points (DSPs) system, as injury deaths are classified based on the International Classification of Disease-10(th) Revision (ICD-10). We observed that injury death accounted for nearly 10% of all deaths in China throughout the period 2004-2010, and the injury mortality rates were higher in males than those in females, and higher in rural areas than in urban areas. Traffic crashes (33.79-38.47% of all injury deaths) and suicides (16.20-22.01%) were the two leading causes of injury deaths. Alarmingly, suicide surpassed traffic crashes as the leading cause of injury mortality in rural females, yet adults aged 65 and older suffered the greatest number of fatal falls (20,701 deaths, 2004-2010). The burden of injury among men (72.11%) was about three times more than that of women's (28.89%). This study provides indispensible evidence that China Authority needs to improve the surveillance and deterrence of three major types of injuries: Traffic-related injury deaths should be targeted for injury prevention activities in all population, people aged 65+ should be encouraged to take individual fall precautions, and prevention of suicidal behavior in rural females should be another key priority for the government of China.

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Year:  2014        PMID: 24465534      PMCID: PMC3894968          DOI: 10.1371/journal.pone.0085319

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Various types of injuries collectively are a growing public health issue which has become an important cause of death throughout the world. Injuries kill more than five million people worldwide in 2000, accounting for nearly one of every 10 deaths [1]. Around the world, about 16,000 people die every day as a result of an injury [2], [3]. Among the causes of injury are acts of violence, road traffic crashes, assault, drowning, falls and poisoning. The deaths caused by injury have a serious impact on the families and communities, where life is often irrevocably changed by these tragedies. According to the World Health Organization (WHO), over 90% of injury-related deaths occurred in low- and middle-income countries in 2004 [4]. China is a developing country with the largest population in the world. Meantime, China's rapid economic growth has been accompanied by substantial changes in modes of transport, lifestyle and so on, all of which cause many unexpected issues and problems. For instance, in the past two decades, the main transportation mode has changed from animal carts and bicycles to motor vehicles, it is estimated that about 55 thousand new motor vehicles are registered in China every day [5]. The population is ageing; as the proportion of the population aged 65 and above grew from 7.0% to 8.9% throughout the period of 2000–2010 [6]. Moreover, the gap between the rich and the poor is widening; by 2004, the gross domestic product per person in the richest province was 13 times greater than that in the poorest province [7]. All these contribute to the astonishing reality that injury has silently grown to be the fourth leading cause of death in China [8]. Injuries now are an additional public health threat in China, causing at least 800,000 deaths and 50 million non-fatal damages each year, of which 2.3 million cases lead to disability with varying degrees of severity [9], [10] and the hefty medical expenses that cost the taxpayers 65 billion RMB every year [11]. In addition, injury is also the leading cause of death in China from age 1–39 [12], causing annual loss of 12.6 million potentially productive years of life, a loss greater than for any disease group [13]. The estimated annual economic cost of injury is almost 4 times the total public health services budget in China. Considering the status quo of China's injury scenarios and its rapid societal change, the drive for injury prevention and safety promotion need to be further strengthened, and there is an urgent need for the development of a national injury prevention/safe community program. This study was designed to look at the distribution and trend of injury deaths from 2004 to 2010 in China by criterions such as age, gender, urban/rural residence and regions. We further performed a detailed analysis of China-specific characteristics of the leading causes of injury-related mortality, providing some scientific basis for preventing injury and death incidences. The results will serve to national injury prevention strategies, and, hopefully, our conclusions will help push forward the movement of injury control in China.

Results

Basic Information of Injury Deaths in China, 2004–2010

In the DSPs system, the rates and proportions of death from injuries in China are categorized by gender, age and geographical region, respectively. In this investigation, among 73 million people investigated per year from 2004 to 2010, more than 400,000 people died of all causes every year except for the year 2006 (Table 1). The number of deaths caused by injuries accounted for about 10% of all deaths in China during the study period and the total number of injury deaths was 25,858–32,281 in rural areas and 8,645–11,815 in urban areas (2004–2010). The number of injury deaths among rural males was 18,029–22,195 persons/year, which was the highest among groups of different areas, followed by rural female and urban male groups. The number of injury deaths in urban female group was the lowest, 2,912–4,081 persons/year.
Table 1

Basic information of injury deaths in China, 2004–2010.

Year
2004200520062007200820092010
Total people surveyed(*million)71.1771.4973.7871.4875.1475.6775.67
Total number of death430994437490347058401008424683437550453211
Death caused by injury 43979437743450339114405814044740321
Urban 1181511493864510459100411059710922
 Male7734757357337069678271817346
 Female4081392029123390325934163576
Rural 32164322812585828655305402985029399
 Male22195221621802920210212902100820862
 Female99691011978298445925088428537

Demographic Trend of Injury Mortality Rates (/100,000/year) by Gender and Urban/Rural Residence in China, 2004–2010

The injury mortality rate in males was consistently high during the 7 years (Figure 1), in the range of 70.21–82.18 deaths per hundred thousand per year. This was much higher than the rate in females, more than twice as high (Table 2). The injury mortality rate in rural areas was also consistently high in the same time period (Figure 1), in the range of 60.06–68.03 deaths/100 000/year, about 1.37–1.64 times higher than the rate in urban areas (Table 2).
Figure 1

Demographic trend of injury mortality rates (/100,000/year) by gender and urban/rural residence in China, 2004–2010.

The trends of injury mortality rates (/100,000/year) from 2004–2010 in males and females, urban and rural areas in China are showed.

Table 2

Injury mortality rates (100, 000/year) by gender and urban/rural residence in China, 2004–2010.

YearRegression coefficient B t p-Value
2004200520062007200820092010
Total 61.7961.2352.2754.7254.8953.9151.19−1.52−3.040.029
Gender Male82.1881.3570.4974.7674.3473.6370.21−1.70−2.670.044
Female40.4240.1933.2533.8434.5933.3731.39−1.41−3.670.014
Region Urban 49.4447.8840.6042.6138.8339.7536.63−2.02−5.100.004
Male63.7762.2153.2356.8351.9153.2848.74−2.30−4.520.006
Female34.6833.1427.6728.0025.4625.9124.26−1.71−0.930.002
Rural 68.0367.9857.8261.0663.5461.7360.06−1.10−1.710.148
Male91.3890.9078.6084.0386.2184.6983.10−1.06−1.330.242
Female43.3743.8035.9536.9139.5937.5435.80−1.13−2.330.067

Demographic trend of injury mortality rates (/100,000/year) by gender and urban/rural residence in China, 2004–2010.

The trends of injury mortality rates (/100,000/year) from 2004–2010 in males and females, urban and rural areas in China are showed. Linear regression analysis showed a gradual decline in both males and females during the study period, with the regression coefficient was −1.70 and −1.41, respectively (p<0.05). However, the differences were not statistically significant between the rates of rural male and female groups (p>0.05) (Table 2).

The Proportion Dissection of Standardized Injury Mortality by Leading Causes in the Overall Injury Deaths in China, 2004–2010

The number one leading cause of death from injury was road traffic crashes, accounting for 33.79 to 38.47% of all injury deaths during the period 2004–2010 in China; the second was suicide, accounting for 16.20% to 22.01%; and the third was fall, accounting for 11.98% to 14.22%. These top three causes are jointly responsible for 61.97% to 74.82% of all injury deaths. Other leading causes, including drowning, poisoning and assault account about 17% of injury deaths. Proportions of all the leading causes in the gross injury deaths have not significantly changed throughout the study period (p>0.05) (Table 3).
Table 3

The proportion dissection of standardized injury mortality by leading causes in the overall injury deaths during 2004–2010 in China.

Cause2004200520062007200820092010 p-value
Rank%Rank%Rank%Rank%Rank%Rank%Rank%
Traffic133.83133.79134.89138.47136.99137.89138.000.387
Suicide222.01220.39219.34218.40217.28217.09216.200.205
Fall311.98312.86314.34313.57313.49313.95314.220.698
Drowning48.7448.9248.6347.9747.9348.1047.960.683
Poisoning55.4955.5855.3854.9155.4355.8755.940.803
Assault62.7862.6262.3162.2461.7862.1061.810.528
Others-15.17-15.84-15.21-14.44-17.10-15.00-15.870.875
Total-100.00-100.00-100.00-100.00-100.00-100.00-100.00-
We further assessed the differences among different groups from respective urban/rural areas (Table 4). Overall, the top six leading causes were: traffic crashes, suicide, fall, drowning, poisoning and assault, both in urban and rural areas. Traffic crashes caused the most serious life loss with the highest standardized mortality rates, ranging 12.05–15.73 (deaths/100,000/year) in urban areas and 19.78–22.91 in rural areas. Surprisingly, there was a tendency of a decreasing demographic features from 2004 to 2010 for traffic, drowning, poisoning and assault deaths in urban areas, with the regression coefficients ranging from −5.60 to −3.08 (p<0.05). However, in rural areas, though a decreasing trend of suicide and assault was observed (p<0.05), flat trends of the standardized injury mortality rates generated by road traffic crashes, fall, drowning and poisoning only contributed a non-significant rate decrease throughout the period 2004–2010 (p>0.05).
Table 4

Standardized injury mortality rates (/100,000/year)a by leading causes of death in China, 2004–2010.

Causes of deathYearRegression coefficient B t p-Value
2004200520062007200820092010
Urban Traffic15.7315.0712.6914.5513.3113.0112.05−0.52−3.280.022
Suicide8.717.365.875.614.755.124.46−0.66−5.430.003
Fall6.176.175.615.335.025.465.52−0.14−2.310.069
Drowning3.453.342.732.812.432.572.30−0.19−5.600.003
Poisoning2.952.782.252.172.032.382.01−0.14−3.080.027
Assault1.931.611.301.180.850.060.73−0.26−4.500.006
Rural Traffic22.5922.6319.7822.9122.2622.1621.72−0.04−0.180.868
Suicide15.1114.1111.0811.1110.5510.059.16−0.95−5.980.002
Fall6.927.467.027.006.957.607.330.050.980.370
Drowning6.426.495.355.125.305.555.25−0.19−2.420.060
Poisoning3.383.494.102.683.113.223.25−0.07−0.820.449
Assault1.561.551.111.190.981.211.05−0.84−2.780.039

a Standardized to China standard population for the year 2000.

a Standardized to China standard population for the year 2000.

Top Three Leading Causes of Average Injury Mortality by Urban/Rural Areas and Gender, China 2004–2010

The injury mortality rate was 62.89±3.90 in rural areas and 42.24±4.76/100,000/year in urban areas throughout the period 2004–2010. Injuries killed 85.55±4.48 rural residents per 100,000 people a year, approximately 1.5 times higher than the rate of urban residents. Traffic crashes was the number one leading cause of injury deaths in urban areas; followed by fall and suicide for urban males; for urban females, the suicide was the second leading cause of injury deaths, followed by falls. For rural males, traffic crashes killed 34.35±1.86 per 100,000 people a year, 1.5 times higher than the rate of urban males. Nevertheless, the rate of suicide surpassed the rate of road traffic crashes, claiming the number one leading cause of injury mortality in rural females (Table 5).
Table 5

Top three leading causes of average injury mortality rates (/100, 000/year) by urban/rural areas and gender in China, 2004–2010.

RankUrbanRural
MaleFemaleMaleFemale
Total42.24±4.7662.89±3.90
Gender55.71±5.5328.45±3.9785.55±4.4838.99±3.78
1Traffic crashesTraffic crashesTraffic crashesSuicide
22.33±1.9322.33±1.9334.35±1.8611.42±1.93
2FallsSuicideSuicideTraffic crashes
8.06±0.166.48±1.6813.08±2.0710.43±0.46
3SuicideFallsFallsFalls
7.59±1.405.84±0.529.54±0.275.87±0.34

Demographic Trend of Injury Mortality Rate by Age in China, 2004–2010

We further assessed the demographic trends of the diverse injury mortality rates by the criterion of age (Figure 2A and B). The injury mortality rate was 14.68–18.05 deaths/100,000/year in 5–14 year-old age group, the lowest among all age groups. The rates were similar between 1–4 and 15–24 year age groups. During the study period, the injury mortality rate was 35.49–56.39 deaths/100,000/year in the zero-year-old age group and 33.79–44.00 deaths/100,000/year among 25–34 year-old adults. The rates then further increased to 48.33–64.64 and 59.47–75.38 deaths/100,000/year for 35–44 year-old and 45–64 year-old age groups, respectively. The injury mortality was 164.24–210.32 deaths/100,000/year in the 65+ year age group, the highest among all age groups (Figure 2A). Injury accounted for 58.35% of all deaths in the 5–14 year-old age group; meanwhile, injury deaths accounted for some 43.48% of all deaths among 1–4 year-old children and 42.41% among 15–44 year-old individuals, respectively. However, only about 3.92% of deaths were caused by injuries in the group of people aged 65 and beyond (Figure 2B).
Figure 2

Demographic trends of the diverse injury mortality rates by the criterion of age.

(A) The demographic trends of injury mortality by the criterion of age; (B) The proportional mortality rate caused by injury by the criterion of age.

Demographic trends of the diverse injury mortality rates by the criterion of age.

(A) The demographic trends of injury mortality by the criterion of age; (B) The proportional mortality rate caused by injury by the criterion of age.

Top Six Causes of Death for Assorted Age Groups in China, 2004–2010

Drowning, road traffic crashes and falls represented the top three leading causes of injury deaths for children under one-year-old. For 1–4 year-olds, the three leading causes of injury deaths were traffic crashes, falls and drowning, while drowning surfaced as the leading cause of injury mortality for 5–14 year-old youths. For 15 to 64 year-old people, the number one leading cause of injury deaths was due to road traffic crashes. Starting at age 65, fall and suicide were the two most prominent causes of injury deaths (Table 6).
Table 6

Top six causes of death for assorted age groups in China, 2004–2010.

Rank0 year1–4 years5–14 years15–24 years25–34 years35–44 years45–64 years65+ years
1 DrowningTraffic crashesDrowningTraffic crashesTraffic crashesTraffic crashesTraffic crashesFalls
236148453001494917268233883035520701
2 Traffic crashesFallsTraffic crashesSuicideSuicideSuicideSuicideSuicide
193497309236125320166271596119857
3 FallsDrowningFallsDrowningFallsFallsFallsTraffic crashes
164497601289721397742830415275
4 PoisoningPoisoningSuicideFallsPoisoningDrowningPoisoningDrowning
10127244013691866669349574304
5 AssaultAssaultPoisoningPoisoningDrowningPoisoningDrowningPoisoning
731240212801650634734863631
6 SuicideSuicideAssaultAssaultAssaultAssaultAssaultAssault
002531254128640251376523

Demographic Trend of Injury Rates by Geographic Characteristics Analysis of Injury Deaths in China, 2004–2010

In general, injury mortality rates increased gradually from east to west (Figure 3). The injury mortality rate in eastern region was 51.76±4.74 deaths/100,000/year, which was lower than that of western region (61.04±5.28 deaths/100,000/year) (p<0.01). Similarly, the injury mortality rate in central region was 55.79±3.28 deaths/100,000/year, which was also lower than that in western region (p<0.05). The injury mortality rate in western urban region was 48.66±5.28, in central urban region 44.25±4.87 and in eastern urban region 37.74±4.38 deaths/100,000/year. The injury mortality rate in western rural region was 66.05±5.67 deaths/100,000/year, which was the highest among all the subgroups differed by geographical divisions.
Figure 3

Demographic trend of injury mortality rates (/100,000/year) by geographical divisions in China, 2004–2010.

Mortality rates in eastern, central and western regions are compared, respectively. Compared to eastern regions, *p<0.05, **p<0.01; Compared to central regions, # p<0.05.

Demographic trend of injury mortality rates (/100,000/year) by geographical divisions in China, 2004–2010.

Mortality rates in eastern, central and western regions are compared, respectively. Compared to eastern regions, *p<0.05, **p<0.01; Compared to central regions, # p<0.05.

Life Lost Caused by Injuries

In this survey, 218,763 persons died of injuries in China throughout the period 2004–2010, but males suffered almost triple the PYLL as females did. Injuries caused 5,036,969 PYLL in males and 1,949,464 PYLL in females. For each fatal injury, AYLL was 31.14 years in males and was 34.20 years in females, respectively (Table 7).
Table 7

Person Years of Life Lost and Average Years of Life Lost of injury by gender in China, 2004–2010.

YearPYLL (person years)AYLL (years)
MaleFemaleAllMaleFemaleAll
2004798,621333,4441,132,06531.9534.9633.46
2005780,859318,8941,099,75331.7734.9233.34
2006619,903238,028857,93131.4834.0932.79
2007710,180264,718974,89831.3434.2133.78
2008715,094275,448990,54230.7333.9732.35
2009714,550263,665978,21530.5934.1132.35
2010697,762254,266952,02830.1233.1531.64
Total5,036,9691,949,4646,985,43231.1434.2032.67

Discussion

According to World Health Organization (WHO) prediction, by the year 2020, injuries will be responsible for even more morbidity, mortality and disability, with significant socioeconomic impact on the developing countries [14]. As a developing county, it is essential for China to measure injury losses for the productive working population [13]. This study investigated the injury deaths in China from 2004 to 2010 and found important prototypes, disparities and trends in injury mortality rates and patterns by the criteria of urban/rural residency, gender, age and geographic location. Furthermore, this report also provided scientific evidences for the strategic policies and blueprints designed to restrain injury deaths in future. Our results showed that about 10% of all deaths had resulted from injury-related causes, and 7.5% occurred in rural China, which was lower than the rate 8.9% in rural South Africa 2000–2007 [15]. The major finding of our research underscored the facts that males in the rural areas had experienced highest injury mortality rates, and that there was unquestionable urban-rural disparity in overall injury mortality, with urban residents bearing less risk of injury death than rural residents did. The rural rate was 32.83% higher than the urban rate, which was consistent with the results reported by Jiang et al, (2011), who found a high injury mortality rate in rural males of juvenile and young adult age groups (15–34) in Tianjin, China 1999–2006 [16]. Other studies have also identified higher injury mortality rates in rural areas compared to urban locations in most developing and developed countries [17], [18]. During the study period of this report, however, injury mortality rates in males and in rural areas remained high, a phenomenon might relate to high-risk occupations engaged by males, poor working condition and undeveloped medical aid system in rural areas. Most of the high risk occupations are mainly undertaken by males in China, such as drivers, coal miners, loggers, fishermen, construction workers, skyscraper windows cleaners and so on. In addition, rural residents endure more law violations and high-risk behaviors than their fellow urban residents do, such as driving after alcohol consuming, driving without a license, and violating pedestrian and bicycle traffic rules [19], [20]. Another important underline factor is that the education level of rural population is generally lower than that of urban population. A recent study has suggested that fall-related injuries were inversely related to victims' educational level [21]. Interestingly, similar urban-rural disparity in injury mortality has also been reported in the United States [22], Australia [23] and Norway [24]. Explanations for higher rural rate of injury death in the United State include case fatality rate in motor vehicle crashes, traumatic occupational injuries, drowning, residential fires, and suicide [22]. In Australia, machinery, firearms, being struck by/struck against, fire and burns, natural and environmental factors, motor vehicle crashes and interpersonal violence have been cited as contributing factors [23]. As in Norway, rural victims seem to be younger, die mainly at the site of injury, and from road traffic crashes [24]. By contrast, in Ghana the injury-related mortality was slightly higher in the urban (83 per 100,000) than that in the rural area (53 per 100,000) [25]. Difference in urbanization, socioeconomic development, and motorization may partly account for variations in nationwide urban-rural disparities in different reports on injury mortality [20]. It was gratified that during the period 2004–2010 in China, a welcome tendency of a decline of injury mortality rates was observed over the years in all males, females and urban resident groups. A slight decline of injury mortality rate is encouraging and hopeful, albeit data in rural China are not statistically significant. According to the analysis of the 2004–2010 National Injury Mortality Surveillance data, the top six injury death causes involved road traffic crashes, suicide, fall, drowning, accidental poisoning and assault. The most worrying tendency was the high injury mortality rate caused by traffic crashes, being 1.5–15 times higher than other rates resulted from the rest leading causes of fatal injuries. Road traffic crashes were responsible for about one third of all injury deaths, and the traffic injury mortality rate, was 17.39–20.90 deaths/100,000/year during the study period. For rural males, this rate skyrocketed to 34.35±1.86 deaths/100,000/year, higher than any result other subgroups by urban/rural areas, and much higher than that of urban males. In early 2009, China became the world's largest automobile market, surpassing the United States for the first time in total car sales [26]. Corresponding to the rapid growth in road construction and number of vehicles, road traffic injury has become a serious public health concern in China [11]. Although in 2007, the Development and Research Center of Chinese State Council published a report that identified several major shortfalls that were responsible for road traffic injury in China, including lack of safety standards in road construction, and ambiguities in road safety laws and regulations [27]. In particular, the mortality rate caused by road traffic crashes failed to show any tendency of decline. In summary, careless male drivers in rural areas, vehicle overloading, speeding, drink/drunk driving, obsolete safety regulations, limited access to urgent care and/or poor quality of care in the rural areas imply lift up the risks of traffic injury mortality. Overall, the number one leading cause of injury death was road traffic crashes, followed by suicide and falls. Suicide injuries emerged as the most common injury category for rural areas. During 2004–2010, suicide injury mortality rate for rural males and females was 13.08±2.07 and 11.42±1.93 deaths/100,000/year, respectively. Although the rate in rural females was lower than that of rural males, suicide has become the number one causes of injury mortality for rural females. In this report, the suicide rate of rural females was 1.76 times higher that of urban females, distinctively different from the panoramas in high-income countries, where differences in urban and rural suicide rates are marginal and vary only by locations [28]. China and India are the two biggest political entities where absolutely top numbers of suicides exist [29]. Young women in rural areas in both countries are at especially high risk of dying by committing suicide, accounting for about a third of all mortality cases of the age group; and the common methods of suicide is self poisoning with pesticides [30]. In China, the demographic, social, and psychological issues have been assumed as universal risk factors for suicide, much different from the findings in the high-income countries where suicidal behavior is almost always associated with a mental illness, such as depression [31]. Furthermore, there are no strong religious or legal prohibitions against suicide, so people with serious mental disorders or chronic life stressors might commit suicide to relieve themselves from misery and emotional burden [32]. Shan et al have indicated that reasons for attempted suicide in Shanghai Municipality often appear to be related to family conflicts and unemployment [33]. In this issue, residents in urban and rural areas differ in the time needed to reach emergency departments, the availability of health care organizations, and the capacity of health care practitioners [20]. This report also portrays a detailed breakdown of causes of fatal injuries by age, which offers important information to set prevention measures across all age groups. For instance, preventing infants in the zero-year-old age group from drowning is very important, but it is even more imperative for children in the 5–14 year-old age group where deaths resulted from drowning actually exceeds the number from road traffic crashes. Whilst traffic crashes remain the primary prevention target for people across the 1–4, 15–44 and 45–64 year-old age groups, Prevention of falls demands special attention for seniors in the group of 65 year-old and beyond. Without pre-symptoms, senior citizens may fall over road curbs, loopholes, staircases, etc, resulting in injuries or deaths. Sadly, suicide becomes the second leading cause of fatal injury for persons in the groups of 15 year-olds and beyond. According to China CDC, the suicide rate in this country is 22.23 out of every 100,000 people. More than 30% of suicides worldwide occur in China, illustrating the largest suicide problem in the world [34]. In China, about 40% of suicides directly result from anxiety, alcohol abuse, intolerable working conditions and highly toxic pesticides abuse. Table 6 is, therefore, a constructive tool for designing injury prevention programs in different age groups. Economic status has been documented to be an important determinant of injury. In this study, those in western rural regions with the lowest income went through a higher risk of injury incidence. However, Ma et al demonstrated that those in both the lowest- and highest-income brackets were at a higher risk of injury incidence [35]. Another study in America showed that, in the multivariate models, income and education were largely unrelated to overall injury morbidity [36]. Death and potential years of life lost lead to huge economic losses to individuals, families and the society. In this report, the PYLL associated with injury was significantly higher in males than that in females, China 2004–2010. However, the AYLL was significantly lower in males than that in females, 31.14 versus 34.20 years. This phenomenon may again be due to the facts that males more often participate in high-risk professions and engage in more emergent and dangerous activities than females do, and that the life expectancy for females is generally longer than males. Our results show that lack of awareness of traffic regulations, poor road conditions, suicide and drowning are leading risk factors of fatal injuries in China. Males, rural area, and western region should be the key targets for injury prevention policies. More psychological counseling and health education should be performed for rural females. Also, there is an earnest need for injury prevention policies for elderly residents, regarding falls and suicide. Moreover, it is critically important to develop policies and programs that can deliver effective measures in the high risk populations and areas.

Data and Methods

Data Source

Data of this study obtained from Death Surveillance Data Sets, which were summarized in the National Disease Surveillance Point (DSPs) system and compiled by Chinese Center for Disease Control and Prevention (CDC). The DSPs system covers 1% representative sample of China's population in 31 provinces, autonomous regions and municipalities, which is epitomizes the characteristics of Chinese population. Causes of death were classified according to the International Classification of Diseases-10th Revision (ICD-10) (World Health Organization, 1992). We disaggregated the data by age (≤0, 1–4, 5–14, 15–24, 25–34, 35–44, 45–64, ≥65+) [37], gender and major geographic focus (East, Central, West). We also portrayed rate trends for the six leading causes of injury throughout the study period. The age-adjusted mortality rates were cited from the DSPs, whose direct standardization procedure employed China standard population of the year 2000 as the referent.

Geographical Divisions and Population Geography

According to the classification of the National Statistics Bureau, China is divided into 22 provinces, 4 municipalities (Beijing, Shanghai, Tianjin and Chongqing), 5 autonomous regions (Guangxi, Ningxia, Xizang, Xinjiang and Neimenggu), and 2 special administration regions (Hong Kong and Macau). Moreover, according to the first national economic census, China is divided into three regions: eastern, central and western regions (Figure 4). More than half of the secondary and tertiary industry units are concentrated in the eastern regions, and the number of units displays a decreasing trend from east to west. There are economic gaps between the eastern and central and western regions in China. The economy in the eastern region of China is considerably stronger than those in other regions [38], [39].
Figure 4

Map of China with geographical divisions.

A map shows the locations of eastern, central and western regions divided by geographical position. Red: eastern region; blue: central region; write: western region.

Map of China with geographical divisions.

A map shows the locations of eastern, central and western regions divided by geographical position. Red: eastern region; blue: central region; write: western region.

Data Analysis

Epidata 3.1 was used for data input, as statistical software SPSS 20.0 (SPSS, Inc., Chicago, IL, USA) was used for data analysis. Rates and proportions were the main indexes of the study. Age- and gender-specific mortality rates per 100,000 person-years were calculated using the methods suggested by Rothman and Greenland [40]. For comparison purposes, the age- and gender-specific mortality rates by category of injury were also calculated as well. A chi-square test was used for examining the eastern, central and western regions differences in injury mortality. When the assumptions for the chi-square test were violated, it was replaced by Fisher's exact test. Time trends were calculated using linear regression analysis. p<0.05 was selected as the statistically significant level. Formula and calculation [35]: Person Years of Life Lost (PYLL) = , Average Years of Life Lost (AYLL) = . I = age at death; di = number of deaths at age i; N = upper cut-off age, 71 for males and 75 for females were adopted, respectively.
  34 in total

1.  Acute traumatic injuries in rural populations.

Authors:  Corinne Peek-Asa; Craig Zwerling; Lorann Stallones
Journal:  Am J Public Health       Date:  2004-10       Impact factor: 9.308

2.  Urban-rural variation in mortality and hospital admission rates for unintentional injury in Ireland.

Authors:  M Boland; A Staines; P Fitzpatrick; E Scallan
Journal:  Inj Prev       Date:  2005-02       Impact factor: 2.399

Review 3.  China's demographic history and future challenges.

Authors:  Xizhe Peng
Journal:  Science       Date:  2011-07-29       Impact factor: 47.728

4.  Incidence and outcome of injury in Ghana: a community-based survey.

Authors:  C N Mock; F Abantanga; P Cummings; T D Koepsell
Journal:  Bull World Health Organ       Date:  1999       Impact factor: 9.408

5.  The global burden of unintentional injuries and an agenda for progress.

Authors:  Aruna Chandran; Adnan A Hyder; Corinne Peek-Asa
Journal:  Epidemiol Rev       Date:  2010-06-22       Impact factor: 6.222

6.  Leading causes of unintentional and intentional injury mortality: United States, 2000-2009.

Authors:  Ian R H Rockett; Michael D Regier; Nestor D Kapusta; Jeffrey H Coben; Ted R Miller; Randy L Hanzlick; Knox H Todd; Richard W Sattin; Leslie W Kennedy; John Kleinig; Gordon S Smith
Journal:  Am J Public Health       Date:  2012-09-20       Impact factor: 9.308

7.  [Status and trend of injury deaths among Chinese population, 1991-2005].

Authors:  Li-jun Wang; Nan Hu; Xia Wan; Mai-geng Zhou; Jun Wang
Journal:  Zhonghua Yu Fang Yi Xue Za Zhi       Date:  2010-04

8.  Injury-related fatalities in China: an under-recognised public-health problem.

Authors:  S Y Wang; Y H Li; G B Chi; S Y Xiao; J Ozanne-Smith; M Stevenson; M R Phillips
Journal:  Lancet       Date:  2008-10-17       Impact factor: 79.321

9.  The gap in injury mortality rates between urban and rural residents of Hubei Province, China.

Authors:  Qing Liu; Lan Zhang; Junlin Li; Dan Zuo; Deguang Kong; Xingfu Shen; Yi Guo; Qingjun Zhang
Journal:  BMC Public Health       Date:  2012-03-12       Impact factor: 3.295

10.  Epidemiological analysis of injury in Shandong Province, China.

Authors:  Jixiang Ma; Xiaolei Guo; Aiqiang Xu; Jiyu Zhang; Chongqi Jia
Journal:  BMC Public Health       Date:  2008-04-17       Impact factor: 3.295

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  12 in total

Review 1.  The Tsinghua-Lancet Commission on Healthy Cities in China: unlocking the power of cities for a healthy China.

Authors:  Jun Yang; José G Siri; Justin V Remais; Qu Cheng; Han Zhang; Karen K Y Chan; Zhe Sun; Yuanyuan Zhao; Na Cong; Xueyan Li; Wei Zhang; Yuqi Bai; Jun Bi; Wenjia Cai; Emily Y Y Chan; Wanqing Chen; Weicheng Fan; Hua Fu; Jianqing He; Hong Huang; John S Ji; Peng Jia; Xiaopeng Jiang; Mei-Po Kwan; Tianhong Li; Xiguang Li; Song Liang; Xiaofeng Liang; Lu Liang; Qiyong Liu; Yongmei Lu; Yong Luo; Xiulian Ma; Bernhard Schwartländer; Zhiyong Shen; Peijun Shi; Jing Su; Tinghai Wu; Changhong Yang; Yongyuan Yin; Qiang Zhang; Yinping Zhang; Yong Zhang; Bing Xu; Peng Gong
Journal:  Lancet       Date:  2018-04-17       Impact factor: 79.321

2.  Burden and trend analysis of injury mortality in China among children aged 0-14 years from 2004 to 2011.

Authors:  Zhaoxue Yin; Jing Wu; Jiesi Luo; Anita W P Pak; Bernard C K Choi; Xiaofeng Liang
Journal:  BMJ Open       Date:  2015-07-02       Impact factor: 2.692

3.  Application of an autoregressive integrated moving average model for predicting injury mortality in Xiamen, China.

Authors:  Yilan Lin; Min Chen; Guowei Chen; Xiaoqing Wu; Tianquan Lin
Journal:  BMJ Open       Date:  2015-12-09       Impact factor: 2.692

4.  Trend of Suicide Rates According to Urbanity among Adolescents by Gender and Suicide Method in Korea, 1997-2012.

Authors:  Kyung-Hwa Choi; Dong-Hyun Kim
Journal:  Int J Environ Res Public Health       Date:  2015-05-13       Impact factor: 3.390

5.  Relationship between suicide rate and economic growth and stock market in the People's Republic of China: 2004-2013.

Authors:  Honglei Yin; Lin Xu; Yechang Shao; Liping Li; Chengsong Wan
Journal:  Neuropsychiatr Dis Treat       Date:  2016-12-08       Impact factor: 2.570

6.  Analysis of the burden and trend of injury in Sichuan, China, from 2006 to 2015: results from the national injury surveillance system.

Authors:  Peng Cai; Xianping Wu; Zhihao Liu; Ying Deng; Xiaofang Chen; Guanghui Yi; Jiang Xu; Shirong Huang; Rongsheng Luan
Journal:  BMJ Open       Date:  2019-11-18       Impact factor: 2.692

7.  Mortality and Disease Burden of Injuries from 2008 to 2017 in Anhui Province, China.

Authors:  Xiu-Ya Xing; Peng Wang; Zhiwei Xu; Qin He; Rui Li; Ye-Ji Chen; Li-Na Liu; Yan-Mei Mao; Chan-Na Zhao; Yi-Lin Dan; Qian Wu; Hai-Feng Pan; Zhi-Rong Liu; Wenbiao Hu
Journal:  Biomed Res Int       Date:  2020-04-21       Impact factor: 3.411

8.  Urban-rural inequalities in suicide among elderly people in China: a systematic review and meta-analysis.

Authors:  Meizhi Li; Srinivasa Vittal Katikireddi
Journal:  Int J Equity Health       Date:  2019-01-03

9.  Global and regional child deaths due to injuries: an assessment of the evidence.

Authors:  Davies Adeloye; Kirsty Bowman; Kit Yee Chan; Smruti Patel; Harry Campbell; Igor Rudan
Journal:  J Glob Health       Date:  2018-12       Impact factor: 4.413

10.  Is the introduction of violence and injury observatories associated with a reduction in violence-related injury in adult populations? A systematic review and meta-analysis.

Authors:  Ardil Jabar; Francisco Fong; Monica Chavira; Maria Teresa Cerqueira; Dylan Barth; Richard Matzopoulos; Mark E Engel
Journal:  BMJ Open       Date:  2019-07-31       Impact factor: 2.692

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