As the fourth leading cause of death, injury is an important public health concern in Guangdong Province, China. The epidemiological characteristics of injury mortality is changing along with the social development. This study described the epidemiological characteristics of injury mortality in Guangdong Province by analyzing the death surveillance data in a few areas in Guangdong Province in 2015.
Methods
Using the mortality data from the Disease Surveillance Points (DSP) system, injury deaths were classified according to the International Classification of Disease-10th Revision (ICD-10). The data were stratified by areas (urban/rural), gender, age groups, injury types, and then overall and type-specific injury mortality rates were estimated for the whole Guangdong Province, China.
Results
We estimated that about 38,200 individuals died from injury in Guangdong Province in 2015, producing a mortality rate of 43.11/100,000. The overall age-standardized injury mortality in men was higher in rural areas compared with urban areas (41.29/100,000 versus 24.89/100,000). In terms of injury intent, unintentional injuries were the commonnest injury type, which accounted for 83.93% of the overall injury deaths, however, the deaths caused by suicide should not be ignored, which occupied 12.67% of the total injury deaths. In terms of injury cause type, falls, road-traffic accidents, suicide, drowning, and accidental poisoning were the top five leading types of injury deaths.
Conclusions
In Guangdong Province, injury is an important cause of death. Road-traffic accidents, falls, suicide, drowning, and accidental poisoning should be the priorities of intervention. Moreover, in rural areas, the men were the most targeted subpopulation of the prevention activities.
Abkürzungen
ASRc
Age-standardized rates by the China population
ASRw
Age-standardized rates by the world population
CDC
Center for Disease Control and Prevention
ICD
International Classification of Diseases
WHO
World Health Organization
Background
As a major public health problem, injury is responsible for a large proportion of the global disease burden. In 2015, about 5 million deaths were attributable to injury, which was equivalent to about 9% of total global mortality [1]. The pattern of injury mortality varies significantly across countries and areas along with the difference in essential demographic characteristics, economy income, customs, and lifestyle, etc. [2‐8].
China has experienced dramatic changes in lifestyle, environment and economy (Gross Domestic Product (GDP) increased about 7% per year since 2012). All these changes have substantially resulted in changes in the injury mortality pattern [5, 6]. Injury-related mortality has decreased from 1990 to 2010, however the mortality of road-traffic injury is increasing in China. In 2010, the age-standardized injury mortality was 57/100,000 in China, with the leading causes of road-traffic injury, drowning, suicide and fall [5, 6]. The injury spectrums were different among provinces and areas according to the Disease Surveillance Points (DSP) system in China [7, 8]. The leading causes of injury death cis-position was suicide, road-traffic injury, drowning, falls in rural area, whereas, it was road-traffic injury, falls, suicide and drowning in urban areas of Hubei Province, China [7].
Anzeige
Guangdong Province, located in southern China, has a population of more than 100 million, making up 1/14 of the counry’s total population. The GDP of Guangdong Province is the first in the country. The injury was the fourth leading cause of deaths in Guangdong Province, which has drawn attention in recent years [9]. Along with the rapid social developments, the pattern of injury mortality might have changed greatly. However, the mortality patterns of injury in Guangdong Province remain unclear.
In the past 10 years, the number of surveillance areas in Guangdong province has gradually increased, with improved data quality as more resources have been allocated on the prevention and control of injuries. Therefore, we conducted this study using death data from the population-based mortality surveillance system to describe the epidemiological characteristics of injury mortality in Guangdong Province, China in 2015, and estimate the disease burden of injury in the whole province.
Methods
Data collection
The mortality data were collected through the population-based mortality surveillance system in Guangdong Province, China. This system was maintained by the Guangdong Provincial Center for Disease Control and Prevention (CDC). All deaths were reported and re-checked according to a quality control protocol as a part of routine processing operation at provincial, municipal and district levels in Guangdong Province. In 2015, Guangdong Provincial CDC collected the mortality data from 28 areas, 14 of which, including nine urban areas and five rural areas, were used in this analysis since they had a relatively higher data quality, with crude annual overall mortality rates higher than 5%.
Classification of injury deaths
Injury causes were defined using the International Classification of Diseases, Tenth Revision (ICD–10). The codes identified the four major unintentional injury causes of death: transport injuries (V01-V04, V06, V09-V80, V87, V89 and V99), accidental poisonings (X40-X49), accidental falls (W00-W19), drowning (W65-W74), as well as other unintentional causes. In addition, the codes also identified two major intentional injury causes of death: self-inflicted injuries (X60-X84, Y87.0) and interpersonal violence (X85-Y09, and Y87.1), as well as legally interventions, war operations and other intentional causes [2, 10‐12].
Anzeige
Population
The number of people of all age groups (0, 1–4, 5–9, 10–14,... 85+), gender and areas (urban and rural) in the population were deduced according to the overall populations of Guangdong Province in 2015 issued by the Bureau of Statistics of Guangdong. The statistics of fifth and sixth population census and the age distribution of population released by the Center of Statistics and Information of National Health and Family Planning Commission.
Data quality
The population size of the 14 areas was 9,959,716 (5,034,197 males and 4,925,519 females), accounting for 11.25% of the total population in Guangdong Province in 2015. Of them, 7,085,724 were from urban areas and 2,873,992 were from rural areas. In 2015, an under-reporting survey was conducted to investigate the completeness of the mortality data. Under-reporting rate is based on the total number of cases (M) in the surveillance and the estimated overall death toll (N) (under-reporting rate = (N-M) × 100%/N) [13]. The mortality rates were calculated according to the result of the under-reporting survey in 2015:
We checked and evaluated data quality according to the under-reporting survey data quality control protocol and criteria. We combined and aggregated the data of 14 areas for the analysis. The mortality was adjusted according to the under-reporting rate. We calculated both crude rates (CR) and age-standardized rates (ASR) with the Chinese standard population and world standard population as standard population [14].
We estimated the numbers of injury deaths, age and sex-specific mortality for all the injury types from the 14 surveillance areas in Guangdong. For the most common types of injury (road-traffic injury, falls, drowning, suicide, poisoning, violence, and other types), the estimated numbers of injury deaths were stratified by urban/rural areas.
Results
Mortality rate
About 38,200 individuals died from injury in Guangdong Province in 2015. The majority of deaths occurred in rural areas (70.16%, 26,800/38,200), and in males (62.83%, 24,000/38,200). In 2015, the mortality of injury in the whole province was 43.11/100,000 (52.42/100,000 for males, 33.19/100,000 for females), with ASRc of 33.97/100,000 and ASRw of 34.39/100,000. The mortality rate of males were higher than that of females in both urban and rural areas. In urban areas, the injury mortality rate was 31.31/100,000 (38.93/100,000 for males, 23.49/100,000 for females), with ASRc of 24.01/100,000 and ASRw of 24.89/100,000. In rural areas, the injury mortality rate was 51.29/100,000 (61.52/100,000 for males, 40.14/100,000 for females), with ASRc of 41.21/100,000 and ASRw of 41.29/100,000. The injury mortality rate, ASRc and ASRw of both males and females in urban areas were lower than that in rural areas (Table 1).
An approximate “U”-shaped association was observed between age and the injury mortality rate. The injury mortality rate gradually increased from the lowest in the 5-year age group until reaching the peak in over-85 age group. The same trend was also observed in males and females. The injury mortality rates of < 5 years and > 85 years was higher in females than that in males, however, the injury mortality rates of <=85 and > 5 years was lower in females than that in males (Fig. 1).
Fig. 1
Injury death rates by sex in the single years of age: Guangdong Province, China, 2015
×
The trends of the injury mortality rates in urban areas were similar to rural areas (Fig. 2). In comparison to urban areas, rural areas had higher injury mortality rates in all age groups except the 5-year age group. Dramatic rising in injury mortality rates was observed from 5-year to 20-year age group in males in both urban and rural areas. The injury mortality rates of both sex groups in urban and rural areas increased steadily after 20-year age group (Fig. 2, Table 2).
Fig. 2
Injury death rates by sex in different areas by single years of age: Guangdong Province, China, 2015
Table 2
The major injury mortality in Guangdong Province by gender and areas in 2015
All areas
Urban
Rural
Cause
Rate
(1/105)
ASR*
(1/105)
%
Rate
(1/105)
ASR*
(1/105)
%
Rate
(1/105)
ASR*
(1/105)
%
Both
Unintentional
41.17
28.74
83.93
28.15
19.05
81.68
50.21
35.80
87.42
Fall
15.83
7.83
46.52
11.36
5.46
48.88
18.93
9.55
43.28
Transport accidents
13.56
11.55
37.46
8.41
7.18
36.21
17.14
14.76
39.18
Drowning
3.86
3.65
10.12
2.10
2.10
9.03
5.08
4.73
11.62
Poisoning
2.09
1.71
5.90
1.37
1.24
5.88
2.59
2.08
5.92
Intentional
6.13
4.54
13.52
4.99
3.81
14.47
6.92
5.05
12.06
Suicide
5.67
4.13
12.67
4.74
3.58
11.62
6.33
4.51
11.01
Homicide
0.44
0.39
0.78
0.21
0.19
0.57
0.60
0.54
1.04
Undetermined
0.72
0.56
2.55
1.33
1.04
3.85
0.30
0.19
0.52
Male
Unintentional
49.96
40.18
83.89
33.82
26.44
80.24
60.84
49.95
89.64
Fall
14.63
9.55
35.99
10.99
6.77
38.78
17.09
11.58
32.23
Transport accidents
20.39
17.69
46.01
12.53
10.92
44.22
25.68
22.45
48.43
Drowning
5.14
5.08
11.03
2.78
2.95
9.80
6.74
6.52
12.71
Poisoning
2.92
2.33
6.96
2.04
1.76
7.21
3.52
2.76
6.63
Intentional
6.67
5.07
13.53
6.71
5.42
15.92
6.64
4.83
9.78
Suicide
6.18
4.63
12.70
6.36
5.08
15.10
6.05
4.31
8.92
Homicide
0.46
0.41
0.73
0.27
0.27
0.64
0.59
0.52
0.86
Undetermined
0.89
0.73
2.57
1.62
1.32
3.84
0.39
0.28
0.58
Female
Unintentional
32.20
16.80
83.98
22.49
11.76
83.93
39.15
20.58
84.06
Fall
17.04
5.85
63.20
11.72
4.13
64.62
20.85
7.04
61.19
Transport accidents
6.60
5.31
23.92
4.31
3.53
23.73
8.24
6.73
24.18
Drowning
2.55
2.12
8.67
1.42
1.20
7.84
3.36
2.76
9.85
Poisoning
1.24
1.10
4.21
0.69
0.75
3.81
1.63
1.40
4.78
Intentional
5.57
4.06
13.51
3.27
2.28
12.20
7.22
5.37
15.50
Suicide
5.15
3.68
12.64
3.11
2.17
11.62
6.61
4.80
14.19
Homicide
0.42
0.39
0.87
0.15
0.12
0.57
0.61
0.56
1.31
Undetermined
0.55
0.39
2.51
1.04
0.77
3.87
0.20
0.11
0.44
* age standardized mortality rate (China population 2000)
×
Anzeige
Intent and mechanism of injury
Injury intents
In 2015, 83.93% of injury deaths was classified as unintentional injuries (mortality rate of 41.17/100,000, ASRc of 28.74/100,000), 12.67% as suicide (mortality rate of 5.67/100,000, ASRc of 4.13/100,000), 2.55% as of undetermined intents (mortality rate of 0.72/100,000, ASRc of 0.56/100,000), 0.78% as due to violence (mortality rate of 0.44/100,000, ASRc of 0.39/100,000). The intents-of-injury by sex and area were distributed in a pattern similar to the overall intents-of-injury in the whole province (Table 2).
The unintentional injury mortality rate bottomed out in the 5-year age group and then gradually increased till peaking in the over 85 years of age group. The suicide mortality rate consistently grew with slight fluctuations since suicide firstly observed at the age of 10. The violence-related mortality rates were lower than 1/100,000 in most age groups except that in 60 years and 70 years of age group (Fig. 3).
Fig. 3
Injury death rates by intent of injury and single years of age: Guangdong Province, China, 2015
×
Mortality spectrum of unintentional injuries
Overall, the first leading cause of injury deaths was accidental falls (with a mortality rate of 15.83/100,000), followed by road traffic accidents, drowning and accidental poisoning, with mortality rates of 13.56, 3.86 and 2.09 per 100,000 respectively. For males, the four leading causes of injury deaths were road traffic accidents (mortality rate of 20.39/100,000), falls (mortality rate of 14.63/100,000), drowning (mortality rate of 5.14/100,000) and accidental poisoning (mortality rates of 2.92/100,000). For females, falls was the leading mechanism of injury deaths with of mortality rate of 17.04/100,000, followed by road traffic accidents, drowning and accidental poisoning, with mortality rates of 6.60, 2.55 and 1.24 per 100,000 respectively (Table 2).
Similar patterns of the leading causes of injury deaths were observed in the subgroups stratified by sex and area. Falls, road traffic accidents, drowning and accidental poisoning were still the four leading mechanisms of injuries deaths in urban and rural areas. However, the injury mortality rates of these four mechanisms in rural areas were almost twice of that in urban areas. The mortality rates of falls, road traffic accidents, drowning and accidental poisoning were 11.36, 8.41, 2.10 and 1.37 per 100,000 in urban areas; 18.93, 17.14, 5.08 and 2.59 per 100,000 in rural areas respectively (Table 2).
As the first leading mechanism of injury deaths in males, the mortality rates of road traffic accidents were 12.53/100,000 in urban areas and 25.68/100,000 in rural areas. Falls were the second leading mechanism of injury deaths in males. The mortality rates of falls were 10.99/100,000 in urban males and 17.09/100,000 in rural males. The third and fourth leading mechanisms of injury deaths were drowning and accidental poisoning. The mortality rates of drowning were 2.78 and 6.74 per 100,000 in males of urban and rural areas; the mortality rates of accidental poisoning were 2.04 and 3.52 per 100,000 in urban and rural areas (Table 2).
As the first leading mechanism of injury deaths in females, the mortality rates of falls were 11.72/100,000 in urban females, 20.85/100,000 in rural females. Road traffic accidents were the second leading mechanism of injury deaths in females. The mortality rates of road traffic accidents were 4.31/100,000 in urban areas and 8.24/100,000 in rural areas. The third and fourth leading mechanisms of injury deaths were drowning and accidental poisoning. The mortality rates of drowning were 1.42 and 3.36 per 100,000 in urban and rural areas; the mortality rates of accidental poisoning were 0.69 and 1.63 per 100,000 in females of urban and rural areas. (Table 2).
Discussion
In the current study, we provided a comprehensive description of the injury mortality pattern using the latest and most representative data in Guangdong Province, China. The results showed that injury is an important public health problem in Guangdong Province. We summarized the epidemiological characteristics as follows: 1) Crude and age-adjusted injury mortality rates were significantly higher in rural areas than in urban areas, and higher in males than in females. 2) The leading cause of injury deaths was unintentional injuries, but suicide should not be ignored. 3) The mortality spectrum of unintentional injuries was different between rural and urban areas, males and females.
The injury mortality rate in Guangdong Province was lower than that of the global average and national average [11, 15]. The followings may explain the results: there were abundant health resources in Guangdong Province with higher economy than the national average. In addition, there were sufficient emergency medical services and higher awareness of disease prevention in Guangdong Province.
In comparison to the Third National Retrospective Survey on Causes of Death in 2004–2005 [16, 17], the injury mortality rate had decreased in Guangdong Province, with similar tendency to that of the national and other areas [5, 7, 11, 18]. In the past decade, the declining trend of injury mortality may be due to the enforcement of the Traffic Safety Law which provides punishments for both “driving while intoxicated” and “driving after drinking alcohol” in China [19‐23].
The mortality spectrum of injuries in Guangdong Province was similar to the global and national situation [11, 15], the majority of injury deaths was due to unintentional injuries, which constituted 83.93% of all injury deaths in Guangdong Province in 2015. At the same time, suicide could not be ignored, which consisted of 12.67% of all injury deaths. Compared with the global and national suicide mortality rates, the mortality rate of suicide was relatively lower in Guangdong Province [11, 15, 24, 25]. However, homicide was one of the leading causes of injury deaths in other countries [4, 26, 27]. In comparison to the 3rd NRSCD, the first leading causes of injury changed from road traffic accidents to falls, suicide became third leading cause of injury. Therefore, we should pay more attention to falls while Guangdong Province enters an aging society.
Anzeige
The top four leading causes of injury deaths (falls, road traffic accidents, suicide, drowning) in Guangdong Province were different from the whole world (road traffic accidents, suicide, falls and violence) [15], the whole country (road-traffic accidents, falls, drowning, accidental poisoning) [11, 15, 28] and South Africa (homicide, road traffic injuries, suicide and fires, burns and hot substances) [4]. One important underlying reason for the high falls mortality rate was aging, we suggest that Guangdong Province should implement more appropriate strategies (the need for improvement of environmental conditions in communities and home) to prevent the occurrence of falls.
In Guangdong Province, crude and age-adjusted injury mortality rates in 2015 were higher in rural areas and in males. It is consistent with other reports in China [7, 29‐31], and developed countries, such as Australia, Canada [32, 33] and Norway [34]. Generally, individuals in rural areas, are more likely to engage in higher risk work than in urban areas, males were also in higher risk-taking behaviors than females. Limited medical resources and lower levels of health care may also explain the above results. More government-funded health resources and services should be allocated to the injury control in rural areas in Guangdong Province to reduce these apparent urban and rural inequalities.
The injuries mortality rates of road traffic accidents, drowning and accidental poisoning in rural areas were twice of that in urban areas. Similar findings had been reported elsewhere in China [7, 29, 30]. The mortality rate in males was three times higher than that in females in both urban and rural areas. The falls-related injury mortality rates higher in females, whereas, the injury mortality rates resulting from road traffic accidents, drowning and accidental poisoning were higher in males.
These results will serve as a baseline for future assessment of the overall effectiveness of the injury control efforts in Guangdong Province and will provide insights into the areas of greatest need for prioritization.
Anzeige
A few limitations should be noted. Firstly, the current study was based on the surveillance data in a single year, the injury mortality rates lack longitudinal applicability. Secondly, along with the urbanization, development is evident in the rural areas, including the extension of health services and the change of production structure. Growth and development in the urban and rural areas of Guangdong Province are likely to influence the rate and type of injuries over time. Thirdly, the data from the 14 surveillance areas were composed of nine urban areas and five rural areas, with more population in urban areas than in rural areas.
Conclusion
Injury is an important cause of death. Road-traffic accidents, falls, sucide, drowning, and accidental poisoning should be the priorities of intervention. Moreover, in rural areas, men were the most targeted subpopulation of the prevention activities.
Acknowledgements
We sincerely thank all staffs of 14 surveilled areas in Guangdong province who have made a great contribution to the study, especially on data collection, supplements, auditing, and database management.
Funding
This study is supported by a National Program Grant to the surveilled areas from the National Health and Family Planning Commission of China. Since the population-based mortality surveillance is our routines, it is supported by government subsidy. The commission had no role in the design or data collection, analysis, and interpretation.
Availability of data and materials
Original data of this study will not be shared because it is part of a screening survey organized by the Guangdong Provincial Commission of Health and Family Planning.
Ethics approval and consent to participate
Not applicable. The population-based mortality surveillance is our routines. Original data of this study is part of a screening survey organized by the Guangdong Provincial Commission of Health and Family Planning. All data used for this study were permitted to use.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
