Literature DB >> 28820342

Expected years of life lost through road traffic injuries in Mexico.

Efrén Murillo-Zamora1, Oliver Mendoza-Cano2,3, Benjamín Trujillo-Hernández4, José Guzmán-Esquivel5, Alfredo Medina-González6, Miguel Huerta7, Ramón Alberto Sánchez-Piña2, Agustin Lugo-Radillo8.   

Abstract

BACKGROUND: Road traffic injuries (RTIs) are a leading cause of premature mortality, mainly in low- and middle-income countries Objective: To estimate the 2014 burden of RTIs in Mexico calculating years of life lost (YLL) and age-standardized YLL rates (ASYLL), and to evaluate sex, age, and region-related differences in premature mortality.
METHODS: Mortality data were obtained from the National Institute of Statistics and Geography and 14,637 deaths of individuals 15 years of age and older were analyzed. The YLL and ASYLL were computed.
RESULTS: The overall burden of RTIs was 332,922 YLL and 82.4% of the deaths occurred in males. Males from 25 to 34 years of age and females from 15 to 24 years of age showed the highest age-adjusted YLL rates (933 and 158 YLL per 100,000 inhabitants, respectively). The national ASYLL rate was 416 per 100,000 inhabitants and the highest state-stratified mortality rates were observed in Tabasco (851), Sinaloa (709), Durango (656), Zacatecas (642), and Baja California Sur (570).
CONCLUSIONS: RTIs contributed to the premature mortality rate in the study population. Our findings may be useful from a health policy perspective for designing and prioritizing interventions focused on the prevention of premature loss of life.

Entities:  

Keywords:  Mexico; Traffic accidents; burden of illness; health Policy; premature mortality

Mesh:

Year:  2017        PMID: 28820342      PMCID: PMC5645682          DOI: 10.1080/16549716.2017.1360629

Source DB:  PubMed          Journal:  Glob Health Action        ISSN: 1654-9880            Impact factor:   2.640


Background

Road traffic injuries (RTIs) are a leading cause of premature mortality, mainly in low- and middle-income countries [1]. An increase in the related burden has been observed worldwide and pedestrians, cyclists, and two-wheeled motorcycle riders are the most vulnerable populations that contribute to the observed mortality [2,3]. In Mexico, the overall RTI mortality has decreased since 2009; however, an increase in fatal motorcycle mortality has been observed and RTIs are still a main cause of death [4-6]. Traditional mortality rates have been used to evaluate the RTI burden in Mexico, which fail to highlight the premature deaths [7]. In 2015, the country adopted the United Nations Sustainable Development Goal on health (SDG3) and its aim is a 40% reduction of premature deaths by the year 2030. RTIs are one of the targeted causes of premature death [8]. A cost-effectiveness approach is needed to reach the proposed objective and the estimation of standard expected years of life lost (YLL) may be feasible and beneficial. The YLL measure was developed by the Global Burden of Disease (GBD) study and is a useful analytical tool, from an economic and health policy perspective, for measuring preventable loss of life. The disability-adjusted life year (DALY) is calculated as the sum of the YLL and the years lived with disability (YLD). This health measure incorporates strategies (i.e. time-based discounting) used in cost-effectiveness analyses. In addition, the age-standardized YLL (ASYLL) has been used to compare goals across populations [9] and is a valid measure for identifying demographic or regional subgroups (i.e. the states of a country) with the highest premature mortality rate [10]. To the best of our knowledge, there are no published studies evaluating regional premature mortality due to traffic accidents in Mexico. This approach may be useful to identify high risk subgroups where particular interventions focused on the prevention of premature loss of life may be beneficial. The aim of this study was to estimate the burden of RTIs through YLL and ASYLL in Mexican individuals of 15 years of age and older at death in 2014. In addition, sex, age, and region-related differences were evaluated.

Methods

The YLL for RTIs were calculated following the methods described by the GBD study [11]. First, sex and age-stratified (15–24, 25–34, 35–44, 45–64 and ≥65 years of age) mortality data were obtained from the National Institute of Statistics and Geography of Mexico [12]. The following underlying causes of death (International Classification of Diseases 10th revision, ICD-10) were included: V09.2, V09.3, V12–V14, V19.4–V19.9, V20–V28, V29.4–V29.9, V30–V39, V40–V49,V50–V59, V60–V69,V70–V79,V80.3–V80.5, V81.1, V82.1, V83.0–V83.4,V84.0–V86.4, V87.0–V87.8, V89.2, and V89.9. These events are clustered using code E49B (Mexican List of Causes of Death) for statistical purposes [13]. Second, the YLL measure was computed for males and females by multiplying the number of RTI deaths by the number of years of expected remaining life at the respective age interval according to the 2013 Tables of Life (Global Health Observatory) of Mexico [14]. The total population was obtained from the 2010 National Census of Population and Housing [15]. The average age of death, per age interval, was calculated using national data from the Statistical and Epidemiological Death Registration System [16]. The following parameters were fixed: discount rate (r) = 0.03, age-weighting (β) = 0.04, adjustment constant for age-weights (C) = 0.1658, and age-weighting modulation (K) = 0. Templates (Microsoft® Excel®) from the GBD study were used to compute the YLL and the summary statistics were estimated using Stata® MP 13.0 (StataCorp LP). Finally, the ASYLL rates per 100,000 inhabitants were estimated using the World Standard Population (2000–2025). The Local Health Research and Ethics Committee of the Mexican Institute of Social Security approved the present study.

Results

The number of RTI-associated deaths in 2014 was 11,944 in males and 2693 in females (Table 1), representing 2.5% of all deaths occurring in Mexico within the same period. The unadjusted mortality rates per 100,000 inhabitants were 31.7 in males (ranging from 18.4 to 66.0) and 19.0 in females (ranging from 4.2 to 12.1).
Table 1.

Deaths by road traffic injuries, Mexico 2014.

 Males
Females
Overall
Staten%Raten%Raten%Rate
Aguascalientes170(5.9)44.244(1.9)10.4214(4.1)26.5
Baja California250(2.7)22.489(1.5)8.1339(2.2)15.3
Baja California Sur91(5.8)39.625(2.4)11.4116(4.4)25.8
Campeche100(4.5)35.229(1.7)9.8129(3.3)22.3
Coahuila366(4.3)38.992(1.4)9.5458(3.0)23.9
Colima90(4.3)39.416(1.1)6.8106(3.0)22.8
Chiapas455(3.8)30.583(0.8)5.2538(2.4)17.4
Chihuahua364(3.1)31.9123(1.4)10.4487(2.4)21.0
Mexico City580(2.0)18.4209(0.8)5.9789(1.4)11.7
Durango265(5.5)49.366(1.9)11.6331(4.0)29.9
Guanajuato642(4.2)36.5144(1.2)7.2786(2.9)21.0
Guerrero309(3.4)29.089(1.3)7.5398(2.5)17.7
Hidalgo276(3.8)31.685(1.4)8.7361(2.7)19.5
Jalisco875(4.0)35.4209(1.2)7.91084(2.7)21.1
Mexico1557(4.0)30.5359(1.1)6.51916(2.7)18.0
Michoacan370(2.8)26.189(0.9)5.6459(1.9)15.3
Morelos129(2.4)21.640(0.9)6.0169(1.7)13.4
Nayarit146(4.5)38.836(1.5)9.3182(3.2)23.9
Nuevo León400(3.1)24.3123(1.2)7.3523(2.2)15.7
Oaxaca354(3.1)29.386(0.9)6.2440(2.1)17.0
Puebla541(3.2)29.6116(0.8)5.5657(2.1)16.7
Queretaro241(5.2)39.956(1.4)8.4297(3.5)23.4
Quintana Roo131(4.8)27.921(1.1)4.6152(3.3)16.4
San Luis Potosi359(4.7)42.283(1.4)9.0442(3.2)24.9
Sinaloa533(6.3)55.098(1.7)9.8631(4.5)32.0
Sonora371(4.1)39.692(1.5)9.8463(3.1)24.7
Tabasco494(7.8)66.096(2.0)12.1590(5.3)38.2
Tamaulipas383(3.9)34.6123(1.6)10.6506(2.9)22.3
Tlaxcala127(4.4)33.326(1.0)6.1153(2.8)19.0
Veracruz515(2.0)20.1121(0.6)4.2636(1.4)11.7
Yucatan214(3.4)31.246(0.9)6.4260(2.3)18.5
Zacatecas246(5.5)50.349(1.3)9.2295(3.6)28.9
Overall11,944(3.6)31.72963(1.1)7.314,907(2.5)19.0

The absolute frequencies (n), proportions (%) from the total number of registered deaths, and unadjusted mortality rates per 100,000 inhabitants are presented.

Data source: Main causes of mortality by place of residence, age and sex, 2014; National Institute of Statistics and Geography.

Deaths by road traffic injuries, Mexico 2014. The absolute frequencies (n), proportions (%) from the total number of registered deaths, and unadjusted mortality rates per 100,000 inhabitants are presented. Data source: Main causes of mortality by place of residence, age and sex, 2014; National Institute of Statistics and Geography. Table 2 shows the YLL by sex, age group, and state of residence. The YLL was higher in males in all age groups. The overall YLL in males was 274,451 and the highest age-adjusted rate (933 per 100,000 inhabitants) was observed in individuals from 25 to 34 years of age at death. The YLL in females was 58,470 and the highest rates were observed in young females (15–24 years of age, 158 YLL per 100,000 inhabitants).
Table 2.

Years of life lost by road traffic injuries and age-adjusted rates per 100,000 inhabitants, Mexico 2014.

 15–24 yr.
25–34 yr.
35–44 yr.
45–64 yr.
≥65 yr.
StateYLLASYLLYLLASYLLYLLASYLLYLLASYLLYLLASYLL
Males          
 Aguascalientes116110367728928291106811971211769
 Baja California1501506125247014635941444603144219
 Baja California Sur481802746127834170345591576571
 Campeche651825746117346384445571759252
 Coahuila22379022476117715368091464671482654
 Colima6801114612121126861043581785438
 Chiapas3172675303692619747472275727279239
 Chihuahua2549835247698916096751583618296324
 Mexico City3002408364853026084092730339778275
 Durango16141045157114011194119013451124271528
 Guanajuato55511083314281825117562512666828539
 Guerrero34271062141165411706381226524211193
 Hidalgo21248832050112611947251147559144176
 Jalisco62029005272957343772837586871074505
 Mexico849660615,3901329645961854204691184353
 Michoacan2832691253086915115991503475313210
 Morelos821504879719609547514359135237
 Nayarit9359146668437801102772894144376
 Nuevo León1756430199752020965982354623490387
 Oaxaca2407697213088618538881286464406298
 Puebla4701870268967822436722572648440270
 Queretaro15588971411100513411122890695279658
 Quintana Roo736550879696731721593674101504
 San Luis Potosi23799881891109415119771741902457513
 Sinaloa35681368322215822194116325521121566637
 Sonora18987751864898190110122176982389514
 Tabasco33141563303617962486172523341407364637
 Tamaulipas1954687242396818288072018794389429
 Tlaxcala6235657729097311010593729135416
 Veracruz3682534346268422914772394379338130
 Yucatan116161998565010738491128726296454
 Zacatecas215215691331133611461265910848228421
 Overall79,32576876,76693353,38273053,38962311,590362
Females          
 Aguascalientes137119179187116138185198128389
 Baja California467162512195256110463192120161
 Baja California Sur1652921282314710213027138271
 Campeche165205179258478114822945196
 Coahuila43918048722516382611265128155
 Colima110179519770151376738178
 Chiapas38477461123488168315989883
 Chihuahua824272384150465190407149271266
 Mexico City93412661583419591296135474117
 Durango494318307254233213222169105196
 Guanajuato741134692154488128630147263148
 Guerrero60417838415711656352135211168
 Hidalgo439172333154302160296132203215
 Jalisco1675241871148628123907148286115
 Mexico2197154166513112091051778140497121
 Michoacan412945641692799842612012876
 Morelos192114231165937211169105157
 Nayarit1651621792171862589310375192
 Nuevo León71417953814034999704177173117
 Oaxaca3308858920527911437011714389
 Puebla494863337234990630136271135
 Queretaro247136333211937031522398192
 Quintana Roo2821128103474814817738194
 San Luis Potosi52221056428737221520497113118
 Sinaloa961373435206372190259107120128
 Sonora412175435212256137389172211255
 Tabasco494226461241442282407240143242
 Tamaulipas49417592235023398574213211201
 Tlaxcala192169102103931129310145121
 Veracruz6599346178488893895627893
 Yucatan2751461791121631202591546086
 Zacatecas35724725622616316314812683146
 Overall16,72115813,958155929911613,2941415198139

YLL, years of life lost; ASYLL, age-standardized years of life lost; yr., years old.

Years of life lost by road traffic injuries and age-adjusted rates per 100,000 inhabitants, Mexico 2014. YLL, years of life lost; ASYLL, age-standardized years of life lost; yr., years old. In the estimation by region (Table 3), the overall YLL in males ranged from 88.7% (Quintana Roo) to 76.1% (Baja California). The national estimate was 82.4%. The highest ASYLL rates per 100,000 inhabitants were registered in individuals from 25 to 34 years of age (526), followed by those from 15 to 24 years of age (459) and from 35 to 44 years of age (410). The overall ASYLL rate was 416 per 100,000 inhabitants and the highest state-stratified mortality rates were observed in Tabasco (851), Sinaloa (709), Durango (656), Zacatecas, (642) and Baja California Sur (570).
Table 3.

Age-standardized years of life lost by road traffic injuries, Mexico 2014.

StateYLL, n (%)% Males in YLLASYLLa
15–24 yr..25–34 yr..35–44 yr..45–64 yr..≥65 yr.Overall
1Tabasco13,480(4.0)85.6883971973817436851
2Sinaloa14,250(4.3)84.9874882668600375709
3Durango7357(2.2)81.5681806680624358656
4Zacatecas6774(2.0)85.1891744688470280642
5Baja California Sur2606(0.8)80.6555769411600418570
6Aguascalientes4530(1.4)83.5570522593563562561
7San Luis Potosi9752(2.9)81.8593664574481308543
8Sonora9930(3.0)82.9481557575572378527
9Nayarit3993(1.2)82.5539523677489283519
10Coahuila10,022(3.1)81.8544695436462390517
11Queretaro6564(2.1)83.5507584567447403507
12Colima2385(0.7)87.2645640374436303500
13Campeche2958(0.9)80.3512695453471224497
14Tamaulipas11,045(3.3)78.0432652444495307483
15Jalisco24,110(7.2)81.9569539414402295459
16Chihuahua10,863(3.2)78.4555565430375293457
17Guanajuato17,358(5.2)83.8591460421389329449
18Hidalgo8234(2.5)80.9517599423335197433
19Tlaxcala3381(1.0)84.5364475530397259415
20Mexico44,294(13.3)83.4378701349296225402
21Chiapas12,482(3.7)86.0367498444408160397
22Yucatan5578(1.7)83.2383374472428264396
23Guerrero9113(2.7)81.7608389330319180385
24Quintana Roo3429(1.0)88.7289401393432352378
25Oaxaca9792(2.9)82.5380515471279185377
26Puebla14,720(4.4)85.9466351358373195367
27Michoacan10,497(3.2)82.8383495333287139345
28Baja California7621(2.3)76.1336333359397188339
29Nuevo León11,170(3.4)77.8306330347394242335
30Morelos3691(1.1)80.2306423292206194289
31Veracruz14,441(4.3)84.2310357270210110263
32Mexico City16,502(5.0)77.4267298224228182245
 Overall332,922 82.4459526410370242416

YLL, years of life lost; ASYLL, age-standardized years of life lost; yr., years old.

aASYLL rates per 100,000 inhabitants. The World Standard Population 2000–2025 (World Health Organization) was used.

Age-standardized years of life lost by road traffic injuries, Mexico 2014. YLL, years of life lost; ASYLL, age-standardized years of life lost; yr., years old. aASYLL rates per 100,000 inhabitants. The World Standard Population 2000–2025 (World Health Organization) was used.

Discussion

Our findings suggest that the 2014 RTI burden in Mexico was 332,922 YLL and the mortality rate was higher for males (274,451 YLL, 82.4%). We identified sex, age, and region-related patterns that may be useful in designing and prioritizing intervention policies focused on the prevention of premature loss of life. The illness burden of RTIs in Mexico was previously estimated at the national level [1] and the regional (per state) burden was not evaluated. To the best of our knowledge, this is the first study evaluating regional differences in the burden using the YLL and ASYLL rates as health measures. The disparities between the sexes observed in our study are a common global finding and sex-related stereotypes about risk-taking and risk perception while driving have an influence on this phenomenon [17,18]. In urban areas of Mexico, male automobile drivers are more likely to be involved in alcohol-impaired driving and less likely to use seatbelts [19,20]. A higher RTI-related mortality among males has also been described in developed countries, mainly in younger individuals [21]. Nearly 75% of analyzed deaths occurred in individuals ≤44 years of age and the highest ASYLL rate (526 per 100,000 inhabitants) was observed in adults from 25 to 34 years of age. The 25–34 year age group is more likely to be employed, compared with individuals 24 years of age and younger [22], thus increasing the economic burden. Heterogeneous state-specific ASYLL rates were found. The highest rate was observed in Tabasco (southeastern region of Mexico), where 5.3% of all deaths registered in 2014 were due to RTIs. This is double the number of the national estimate (2.5%) within the same period. Interestingly, the motorization rate of Tabasco is lower than the average rate (273.1 vs. 310.3 per 100,000 inhabitants, respectively), but the number of accidents occurring on federal highways (17.6%) and the total number of deaths involving motorcycle riders (36.5%) were higher than the national estimates (5.4% and 12.4%, respectively). These events may have determined the scenario observed. The overall ASYLL rates were low in wealthy (i.e. Nuevo León) and highly motorized (i.e. Mexico City) states, perhaps due to the quality of emergency care provided and the exposure of populations particularly vulnerable to traffic [23]. Within-country disparities in RTI burden have been described in other populations [21,24,25]. This fact may be secondary to multiple risk exposures, including infrastructural characteristics, health care facilities and alcohol drinking prevalence [25]. The conceptual framework of traffic injuries is complex. They result from the interaction of road users, vehicles, and infrastructure [26]. The published data regarding interventions to reduce the related burden in low- and middle-income countries is limited [27]. The World Report on RTI prevention highlights the need for an integrated effort focusing on improved information systems, response capacity strengthening, and reduced exposure to modifiable risk factors plus the availability of resources for targeting them [17]. Several risks factors associated with increased RTI risk and death have been documented in the Mexican population. These factors include those influencing the occurrence of the crash (speeding, alcohol consumption, and hand-held mobile phones) and injury severity (non-use of crash helmets by two-wheeled vehicle users and non-use of retention devices, such as seat belts and child safety seats) [28-30]. Most of the cost-effectiveness strategies to reduce the RTI burden in low- and middle-income countries are linked to legislative interventions [27]. The current Mexican road legislation is permissive and poorly applied [31]. An integrated juridical effort is needed that includes the regulation of alcohol-impaired driving, prohibition of talking on hand-held phones while driving, verification of the use of retention devices by drivers and occupants, and high penalties for offenders. Susceptible populations must be included [32]. The population mobility patterns have changed and a constant growth in motorcycle users has been observed since 2002 [33]. A simultaneous increase in fatal motorcycle injuries has been documented [6]. In addition, also in Mexico, high mortality rates secondary to intentional injuries (i.e. homicide and suicide) are observed [34]. The potential limitations of our study must be cited. First of all, despite the fact that official mortality data were used to compute the YLL and ASYLL rates, the burden of disease may be underestimated, given that approximately 30% of fatal RTIs are misclassified [35]. Second, data to estimate the RTI-associated YLD are not systematically collected in Mexico and therefore we were unable to compute the DALY. However, the YLL and ASYLL rates are valid stand-alone indicators for quantifying premature mortality due to specific events [36-38]. Third, a clustered analysis was performed and no specific populations involved in those injuries were identified. Governmental data indicate that the highest number of victims of fatal RTIs in 2013 were pedestrians (51.5%), followed by occupants of four-wheeled automobiles (34.4%), motorcycle riders (12.3%), and bicyclists (1.8%) [39].

Conclusions

Our findings provide quantitative evidence of the burden of RTIs in Mexico. These are preventable events and efforts to reduce the associated economic and social burden must be made. Sex, age, and region-related patterns were highlighted in our study and they may be useful in improving the impact of public policies focused on the prevention of premature loss of life secondary to traffic injuries.
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