INTRODUCTION

For the present, advanced countries and some developing countries show such a trend that the importance of traditional health problems, namely contagious diseases (the first group) decreases, but the significance of death and injury by noninfectious diseases, chronic degenerative diseases, traffic accidents and industrial accidents increase [1]. Injuries by traffic accidents, suicides and falls were regarded insignificantly in health circles in the past, but now these are assessed as an important cause of death and disorder throughout the world [2,3].

Injury-oriented death occurs in younger age group of 15 to 44, thus presenting a very severe loss of workforce and social and economical damage [4]. The changes of disease structure seem to be a severe burden to medical systems for all the countries in the world and make the efficient use of limited resources difficult all the more. However recently, from the aspect of measuring lost years via adjusting with a discount rate according to age and time, the measurement of premature death-based disease burden has been attempted [5]. Research teams working in the project of world disease burden presented a new health index, namely Disability-Adjusted Life Years (DALY), in order to examine the motality of total disease burden in a society. Used in this study, standard expected years of life lost (SEYLL) is a preceding step of estimating a complete form of DALY and one of four indices of YLL [6-8]. The index of SEYLL establishes an ideal standard for every age as standard expected years of life lost, multiplies the number of death by standard expected years of life lost, and then sums up all the ages. Since the index of SEYLL adopts a standardized life table as a standard of estimation, it is of advantage to conveniently compare with other studies [5,9].

Also, this study was to examine injury-oriented social and economical loss using the estimation method of total lost earnings. Total lost earnings in this study are one of social overhead capitals and seem to refer to the present values of expected income, namely the opportunity cost of death, which can be earned by a person if he lives a healthy life to the expected years of life without accidental death.

METHODS

This study used original statistical data on the causes of death in 1991, 1994, 1996, 2000, 2003, and 2006 worked out by the National Statistical Office and examined the expected years of life lost, together with the changing trend of total lost earnings in relation to 10 causes of death by sexes and ages. In order to calculate premature death-oriented standard expected years of life lost, first, standard expected years were established by ages. As for the criterion of standard expected years, the life table which was worked out by the National Statistical Office was used. As for the life table, the life tables in 1991, 1994 (of which base year was 1991), 1996 (of which base year was 1995), 2000 (of which base year was 1999), 2003, and 2006 were used. Second, using the index of standard expected years of life lost, the years of life lost for traffic accidents, suicides and fall of 10 major causes of death in every year were calculated by sexes and ages. Its functional formula is as follow:

Here, e^*_x refers to standard expected years of life in the age of x. L is last dying person's age in subject population and dx refers to the death toll at the age of x.

The estimating method of premature death-oriented lost earnings is as follows: the economical costs of disease are classified into such direct costs as an outpatient medical cost and a hospitalized medical cost and such indirect costs as lost earnings and lost working costs. Lost earnings of indirect costs estimated in this study are a method of calculating expected earnings in the future if a person maintains his existence and it is estimated with a calculation method of total production lost which substituting death-oriented lost earnings with present values. As a first step of calculation of lost earnings, it was calculated with lifetime earnings which can be earned by a person in his every age, by means of using monthly total wages by years, sexes and ages presented in the survey of basic statistics for wage structure by the Ministry of Labor. In other words, by summing up expected lost earnings over the period from the age of premature death to the expected years of life, premature death-oriented lost earnings were estimated. This study supposed there were no earnings in the ages of 0 to 19 and after 60 years of age in life cycle, by establishing 59 years as an average age of retirement. In addition, in order to convert future earnings into present values, a discount rate of 3% (r) was established on the assumption that the increase of wages exceeded time preference, thus estimating future earnings as present values [10,11].

According to this process, the present values of future earnings can be defined with following formula (1):

Here, EIt means expected earnings when a person died in the time of t. I_t+_T refers to the earnings generated in t+T. And r is a discount rate and it is established in 0.97 in this study, in order to compare with the findings of domestic preceding studies. But at the time of analyzing sensitivity, discount rates of 5% and 10% were applied [11,12]. And t+T (=59) refers to an average age of retirement. Because not all the main agents of economic activity take part in economical activity at the time of t, it is necessary to calculate expected earnings by taking economic activity rate and employment rate into account. Considering the above fact, the formula (1) can be presented as follow:

Here, π represents the multiplication of t's economic activity rate and employment rate. In addition, if the number of death (ND) is combined with formula (2), death cause-oriented total lost earnings (TEI) can be calculated with following formula (3):

RESULTS

I. Rank Trend of Standard Expected Years of Life Lost and Lost Earnings

Traffic accidents, suicides and falls are included 10 causes of death except falls in 2006 from 1991 to 2006. Rank of SEYLL and total lost earnings is a higher standard than death rank (Table1).

II. Mortality Rate and Outcome of That Injuries

Mortality rate and the burden of traffic accidents, suicides and falls by gender were calculated and results are presented in Table 2. The mortality rate, SEYLL and total lost earnings of traffic accidents increased until 2000 and then have decreased after 2000 in men and women alike. Suicides have increased year after year in men and women alike. Male falls results are higher than female falls. The burden of that injuries by ages shows that is higher in younger age group of 20s to 40s (Figures 1 and 2)

III. Sensitivity Analysis

In this study, the discount rate which was applied to the conversion of future earnings into present values at the time of estimating premature death-oriented lost earnings was established in 3% and future earnings were converted into present values. In addition, by applying the discount rates of 5% and 10%, sensitivity was examined. Results are presented in Table 3.

DISCUSSION

This study was examined 10 major causes of death over the period of 1991 to 2006 and assessed the change of 10 death causes and the extent of socioeconomic burden, in order to understand major injury-oriented mortality and its extent of socioeconomic loss. Among 10 causes of death for the period of 1991 to 2006, traffic accidents and suicide-oriented accidental death occupy great proportion. In 2003, falls were included in 10 causes of death. The literature by Krug et al. [2] also presents the fact that traffic accidents and suicides are injury-related major causes of death throughout the world. Also, the mortality rate and SEYLL of suicides has increased radically.

Studies by Kim [4], Chong [10], and Chong [11] present the same findings that traffic accidents decreased whereas suicides and falls increased in 2000 than in 1990. The reason why traffic accidents has decreased since 2000 is that with the revision of the Road Traffic Act in 1999, bike lane has separated from the road, and every city has intensified their effort for the education of traffic safety by carrying out such measures as traffic safety campaign, traffic safety facility establishment, traffic accident reduction campaign and turn-on-the-headlight campaign in the daytime since 2000. In addition, since 2001, bus lane has been introduced for the first time and the use of mobile phone at the wheel has been prohibited, thus seemingly resulting in the reduction of the number of traffic accidents and its death toll. Like foreign countries, the consistent increase of suicide-oriented premature death is closely related to national economy. The study by Park et al. [13] argues that the stagnation of national economy has significant influence upon workers' socio-psychological stress.

In this study, SEYLL which presenting the sum of hours lost by premature death, were used as measuring index of premature death-oriented burden of disease and loss. SEYLL has various advantages. In the calculation of disease burden, all the deaths in every age group are included and the death in the same sex and age has the same weight in the burden of disease. Another advantage is that comparing to other methods, the change of expected years of life is closer in SEYLL [14,15].

As for the SEYLL by traffic accidents, suicides and falls, domestic preceding studies were insufficient and it was impossible to compare with other literature. According to WHO reports, injury-oriented death in 2000 was 83.7 per 100000 people, resulting in the death toll of about 5 million people worldwide [16,17]. And injuries occur in younger age groups, injury-oriented workforce loss and socioeconomic loss are severe. In the age group of 15 to 44, there are a lot of traffic accidents, explosion, self-injury, war, addiction and exposure to fire. In the age group of 45 and above, many died with self-injury [4]. This study was confirmed high premature death at a young age of 20 to 40.

In order to examine the extent of major injury-oriented socioeconomic burden, this study estimated total lost earnings which were indirect costs that presenting socioeconomic costs as monetary values. The discount rate, which was used to convert future earnings into present values, was established at 3% in this study. The study by Park et al. [18] was also used 3% discount rate. And at the same time, the results of 5% and 10% discount rate presented. By means of examining 147 theses, Smith and Gravelle [19] looked into discount rates which were used to assess economic feasibility. Thirty-five percent of the theses used 0% discount rate, whereas 47% used 5% discount rate and 10% used 3% discount rate.

Study findings present that total lost earnings by traffic accidents and suicides ranked in higher places. This finding is consistent with the study by Chong [10] and Chong [11] which presenting the fact that among accidental deaths, traffic accidents, and suicides ranked in the first and second place respectively. Also, among 10 causes of death in 2003 and 2006, total lost earnings by falls ranked in the 7th and 8th place respectively, thus presenting the fact that the economical loss of premature death by falls was severe. However, there were no preceding studies on total lost earnings. So it was impossible to compare with other studies. In the study by Kim [4], the domestic mortality of falls was higher than that of the United Kingdom, the United States and Japan. And it was higher in men than women. The limitation of this study was the inaccuracy of computerized statistical data on the causes of death in the 1990s [20]. Although studies on the change of injury and its extent of socioeconomic burden have been carried out in many countries, domestic studies on them are very rare. In this vein, study findings seem to provide basic data to the studies on injuries.

Notes

The authors have no conflicts of interest with the material presented in this paper.

This article is available at http://jpmph.org/.

REFERENCES

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Figure 1

Standard expected years of life lost trend of traffic accidents, suicides and falls.

Figure 2

Total lost earnings trend of traffic accidents, suicides and falls.

Table 1.

Death rank and rank of SEYLL (1000 person year) and lost earnings (billion won)

Year	Rank			SEYLL	Lost earnings
	Death	SEYLL	Lost earnings
1991
TA	4	2	1	545	1039
Suicides	10	7	6	124	2922
1994
TA	4	2	1	608	15782
Suicides	9	6	4	166	5306
1996
TA	3	2	1	716	23551
Suicides	7	6	4	242	9674
2002
TA	4	3	2	453	15359
Suicides	8	5	3	237	10252
2003
TA	7	3	2	331	13322
Suicides	5	5	3	239	12542
Falls	10	9	7	84	2627
2006
TA	6	4	3	271	11812
Suicides	5	5	2	262	14996
Falls	n/a	8	8	74	2301

SEYLL, standard expected years of life lost; TA, traffic accidents; n/a, not applicable.

Table 2.

Results of mortality rate(100 000 person), SEYLL(1000 person year) and lost earnings (billion won) by gender

Year	Variable	TA		Suicides		Falls
		Male	Female	Male	Female	Male	Female
1991	Mortality rate	47.7	15.0	9.8	4.3	n/a	n/a
	SEYLL	392	127	79	40	n/a	n/a
	Lost earnings	14 892	747	3454	425	n/a	n/a
1994	Mortality rate	49.5	17.7	12.7	6.1	n/a	n/a
	SEYLL	426	154	103	57	n/a	n/a
	Lost earnings	21 349	1307	5958	818	n/a	n/a
1996	Mortality rate	56.8	20.6	18.3	8.3	n/a	n/a
	SEYLL	501	184	152	81	n/a	n/a
	Lost earnings	30 134	3127	10 622	1549	n/a	n/a
2000	Mortality rate	36.9	14.2	19.3	8.6	n/a	n/a
	SEYLL	314	119	151	76	n/a	n/a
	Lost earnings	18 615	1663	11 073	1689	n/a	n/a
2003	Mortality rate	27.3	10.4	19.0	8.0	11.4	3.7
	SEYLL	231	85	156	73	65	13
	Lost earnings	19 038	1380	15 618	2200	4311	69
2006	Mortality rate	23.1	8.7	20.2	9.3	8.2	5.5
	SEYLL	188	71	163	89	50	20
	Lost earnings	13 744	1311	14 462	3244	3108	146

SEYLL, standard expected years of life lost; TA, traffic accidents; n/a, not applicable.

Table 3.

Results of sensitivity analysis by using different discount rates (billion won)

Year	Type of injury	3%	5%	10%
1991	TA	1107	858	572
	Suicides	296	239	156
1994	TA	15 782	13 006	8860
	Suicides	5306	4367	2967
1996	TA	23 551	19 409	13 231
	Suicides	9674	7969	5425
2000	TA	15 359	12 758	8821
	Suicides	10 252	8552	5949
2003	TA	13 322	11 116	7746
	Suicides	12 542	10 479	7310
	Falls	2627	2240	1620
2006	TA	11 812	9915	6992
	Suicides	14 996	12 556	8805
	Falls	2301	1980	1455

TA, traffic accidents.

Figure & Data

References

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