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Articles| Volume 374, ISSUE 9693, P881-892, September 12, 2009

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Global patterns of mortality in young people: a systematic analysis of population health data

Open AccessPublished:September 12, 2009DOI:https://doi.org/10.1016/S0140-6736(09)60741-8

      Summary

      Background

      Pronounced changes in patterns of health take place in adolescence and young adulthood, but the effects on mortality patterns worldwide have not been reported. We analysed worldwide rates and patterns of mortality between early adolescence and young adulthood.

      Methods

      We obtained data from the 2004 Global Burden of Disease Study, and used all-cause mortality estimates developed for the 2006 World Health Report, with adjustments for revisions in death from HIV/AIDS and from war and natural disasters. Data for cause of death were derived from national vital registration when available; for other countries we used sample registration data, verbal autopsy, and disease surveillance data to model causes of death. Worldwide rates and patterns of mortality were investigated by WHO region, income status, and cause in age-groups of 10–14 years, 15–19 years, and 20–24 years.

      Findings

      2·6 million deaths occurred in people aged 10–24 years in 2004. 2·56 million (97%) of these deaths were in low-income and middle-income countries, and almost two thirds (1·67 million) were in sub-Saharan Africa and southeast Asia. Pronounced rises in mortality rates were recorded from early adolescence (10–14 years) to young adulthood (20–24 years), but reasons varied by region and sex. Maternal conditions were a leading cause of female deaths at 15%. HIV/AIDS and tuberculosis contributed to 11% of deaths. Traffic accidents were the largest cause and accounted for 14% of male and 5% of female deaths. Other prominent causes included violence (12% of male deaths) and suicide (6% of all deaths).

      Interpretation

      Present global priorities for adolescent health policy, which focus on HIV/AIDS and maternal mortality, are an important but insufficient response to prevent mortality in an age-group in which more than two in five deaths are due to intentional and unintentional injuries.

      Funding

      WHO and National Health and Medical Research Council.

      Introduction

      Adolescence is commonly regarded as a healthy time of life, with peaks in strength, speed, fitness, and many cognitive abilities. However, major shifts in health take place around puberty as new health risks with potentially life-threatening consequences become prominent.
      • Kleinert S
      Adolescent health: an opportunity not to be missed.
      • Resnick MD
      • Bearman PS
      • Blum RW
      • et al.
      Protecting adolescents from harm: findings from the National Longitudinal Study on Adolescent Health.
      • Patton GC
      • Viner R
      Pubertal transitions in health.
      Reproductive maturity brings about risks for sexually transmitted diseases including HIV, and for women, particularly in low-income and middle-income countries, risks linked to pregnancy and child birth.
      • Ronsmans C
      • Graham WJ
      Maternal mortality: who, when, where and why.
      Patterns of injury change with physical maturity, with young men in particular incurring trauma from war, violence, and traffic accidents. Puberty also indicates the onset of many mental health disorders of adulthood, which can be associated with a heightened risk of suicide.
      • Patel V
      • Flisher AJ
      • Hetrick SE
      • McGorry PD
      Mental health of young people: a global public-health challenge.
      Consequently, health profiles change rapidly from early adolescence to young adulthood.
      Economic development typically brings about reductions in morbidity and mortality from communicable diseases, undernutrition, and maternal causes.
      • Beaglehole R
      • Bonita R
      However, its effect on the health of young people might differ from that of older age-groups. For example, a long duration of education, with delays in marriage and parenthood, will probably reduce rates of early maternal death.
      • Gluckman PD
      • Hanson MA
      Evolution, development and timing of puberty.
      Increased availability of motor vehicles is likely to raise the risk of traffic injuries.
      • Kopits E
      • Cropper M
      Traffic fatalities and economic growth.
      Furthermore, ease of access to psychoactive substances might heighten risks for mental health disorders and suicide.
      • Patel V
      • Flisher AJ
      • Hetrick SE
      • McGorry PD
      Mental health of young people: a global public-health challenge.
      The inexperience and ongoing neurodevelopment of adolescents might leave them vulnerable to some health risks associated with economic change.
      • Krug EG
      • Sharma GK
      • Lozano R
      The global burden of injuries.
      No comprehensive studies of death in people aged 10–24 years have been done, even though this group consists of around 30% of the world's population.
      • Goodburn EA
      • Ross DA
      Young people's health in developing countries: a neglected problem and opportunity.
      Reports have generally used country data to address overall mortality or specific causes of death.
      • Pan SY
      • Desmeules M
      • Morrison H
      • et al.
      Adolescent injury deaths and hospitalization in Canada: magnitude and temporal trends (1979–2003).
      • Singh GK
      • Yu SM
      Trends and differential in adolescent and young adult mortality in the United States, 1950 through 1993.
      • Schlueter V
      • Narring F
      • Munch U
      • Michaud PA
      Trends in violent deaths among young people 10–24 years olds, in Switzerland, 1969–1997.
      Some studies have compared mortality between countries
      • Borrell C
      • Pasarin MI
      • Cirera E
      • Klutke P
      • Pipitone E
      • Plasencia A
      Trends in young adult mortality in three European cities: Barcelona, Bologna and Munich. 1986–1995.
      or used longitudinal data,
      • Singh GK
      • Yu SM
      Trends and differential in adolescent and young adult mortality in the United States, 1950 through 1993.
      but none have taken a worldwide approach. Blum and Nelson-Nmari
      • Blum RW
      • Nelson-Nmari K
      The health of young people in a global context.
      reported five leading causes of death in people aged 15–29 years (unintentional injuries, HIV/AIDS, other communicable diseases, violence, and suicide) and reported substantial regional variation in the number of deaths due to each cause. However, they were neither able to separate data into narrow age bands, nor extrapolate mortality rates to a regional or worldwide population. Similarly, studies of mortality in late childhood have grouped data for children aged 5–14 years, without scope for analysis of changes in patterns of death before and after puberty.
      • Murray CJL
      • Lopez AD
      Mortality by cause for eight regions of the world: Global Burden of Disease Study.
      We examined whether changes in profiles of health during adolescent development is shown in shifts in mortality between early adolescence and young adulthood. We aimed to describe international rates and patterns of mortality between early adolescence and young adulthood, differences in youth mortality patterns between middle-income or low-income countries and that in high-income countries, and regional variations.

      Methods

      Data collection

      Data used in these analyses were derived from the Global Burden of Disease study
      WHO
      for 2004, and were separated into 5-year groups up to age 24 years. We investigated changes in mortality in young adolescence (10–14 years), late adolescence (15–19 years), and young adulthood (20–24 years). WHO member states were classified into seven groups on the basis of income and region (panel). All countries with a gross national income per head of US$10 066 or higher, estimated by the World Bank, were defined as high-income countries, irrespective of region.
      World Bank
      This definition allowed some comparison of mortality patterns with economic development. Low-income or middle-income countries were grouped into regions according to WHO regional classifications, which are an indicator of an important administrative framework for international health policies (panel).
      Countries grouped by WHO region and income per head, 2004
      High-income countries
      WHO member states were classified as high income when their 2004 gross national income per head was US$10 066 or higher as estimated by the World Development Report 2004.
      World Bank
      Region of the Americas
      • Bahamas, Canada, USA
      Mediterranean region
      • Bahrain, Kuwait, Qatar, Saudi Arabia, United Arab Emirates
      European region
      • Andorra, Austria, Belgium, Cyprus, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Israel, Italy, Luxembourg, Malta, Monaco, Netherlands, Norway, Portugal, San Marino, Slovenia, Spain, Sweden, Switzerland, UK
      Western Pacific region
      • Australia, Brunei Darussalam, Japan, New Zealand, South Korea, Singapore
      Low-income and middle-income countries
      Low-income and middle-income coutries include those with a 2004 gross national income per head lower than US$10 066.
      African region
      • Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Comoros, Congo, Côte d'Ivoire, Democratic Republic of the Congo, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mozambique, Namibia, Niger, Nigeria, Rwanda, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, South Africa, Swaziland, Togo, Uganda, Tanzania, Zambia, Zimbabwe
      Region of the Americas
      • Antigua and Barbuda, Argentina, Barbados, Belize, Bolivia, Brazil, Chile, Colombia, Costa Rica, Dominica, Dominican Republic, Ecuador, El Salvador, Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Nicaragua, Panama, Paraguay, Peru, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Suriname, Trinidad and Tobago, Uruguay, Venezuela
      Eastern Mediterranean region
      • Afghanistan, Djibouti, Egypt, Iran, Iraq, Jordan, Lebanon, Libya, Morocco, Oman, Pakistan, Somalia, Sudan, Syria, Tunisia, Yemen
      European region
      • Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, Georgia, Hungary, Kazakhstan, Kyrgyzstan, Latvia, Lithuania, Poland, Moldova, Romania, Russian Federation, Serbia and Montenegro, Slovakia, Tajikistan, The former Yugoslav Republic of Macedonia, Turkey, Turkmenistan, Uzbekistan, Ukraine
      Southeast Asia region
      • Bangladesh, Bhutan, North Korea, India, Indonesia, Maldives, Burma, Nepal, Sri Lanka, Thailand, Timor-Leste
      Western Pacific region
      • Cambodia, China, Cook Islands, Fiji, Kiribati, Laos, Malaysia, Marshall Islands, Micronesia, Mongolia, Nauru, Niue, Palau, Papua New Guinea, Philippines, Samoa, Solomon Islands, Tonga, Tuvalu, Vanuatu, Vietnam
      Non-member states or territories
      • American Samoa, Anguilla, Aruba, Bermuda, British Virgin Islands, Cayman Islands, Channel Islands, Faeroe Islands, Falkland Islands (Malvinas), French Guiana, French Polynesia, Gibraltar, Greenland, Guadeloupe, Guam, Holy See, Isle of Man, Liechtenstein, Martinique, Montserrat, Netherlands Antilles, New Caledonia, Northern Mariana Islands, West Bank and Gaza Strip, Pitcairn, Puerto Rico, Réunion, Saint Helena, Saint Pierre et Miquelon, Tokelau, Turks and Caicos Islands, Virgin Islands, Wallis and Futuna Islands, Western Sahara

      Estimates of all-cause mortality

      Life tables for the 192 WHO member states in 2004 were developed from death-registration data and sample-registration systems (India and China), and data for child and adult mortality from censuses and surveys, such as the Demographic and Health Surveys and UNICEF's Multiple Indicator Cluster Surveys. Age-specific and sex-specific death rates for countries were established with one of three standard approaches:
      • Mathers CD
      • Lopez AD
      • Murray CJL
      The burden of disease and mortality by condition: data, methods and results for 2001.
      routine life table methods for countries with complete vital registration, standard demographic methods to correct for under-registration of deaths, or model life tables when vital registration data were unavailable.
      • Murray CJL
      • Ferguson BD
      • Lopez AD
      • Guillot M
      • Salomon JA
      • Ahmad O
      Modified logit life table system: principles, empirical validation and application.
      55 countries, 42 of which were in sub-Saharan Africa, had no information available. On the basis of predicted rates of early childhood mortality in 2004, the most likely corresponding rates of adult mortality (excluding any HIV/AIDS deaths) were selected, along with uncertainty ranges, with use of regression models of child versus adult mortality from a set of almost 2000 life tables judged to be of good quality.
      • Murray CJL
      • Ferguson BD
      • Lopez AD
      • Guillot M
      • Salomon JA
      • Ahmad O
      Modified logit life table system: principles, empirical validation and application.
      For China, death rates recorded by age for children older than 5 years from the 2000 census were adjusted for an estimated under-reporting of 11·3% for boys and 18·1% for girls and predicted for 2004, with an assumed yearly rate of decrease in mortality of 1·5% on the basis of two intercensal periods: 1982–90 and 1990–2000.
      • Bannister J
      • Hill K
      Mortality in China, 1964–2000.
      This projection takes into account other sources of data such as the Child Mortality Surveillance System.
      • Yang GH
      • Hu J
      • Rao KQ
      • Ma J
      • Rao C
      • Lopez AD
      Mortality registration and surveillance in China: history, current situation and challenges.
      For India, all-cause mortality was derived from a time-series analysis of age-specific death rates from the sample registration system for 1990–2002, after correction for under-registration (88% completeness).
      • Bhat PN Mari
      Completeness of India's sample registration system: an assessment using the general growth balance method.
      An early version of these life tables was published in the 2006 World Health Report.
      WHO
      All-cause mortality rates for age and sex were further adjusted for the revised estimates of mortality from HIV/AIDS, conflict, and natural disasters.
      WHO
      Total deaths by age and sex were estimated for each country by application of these rates to the estimated 2004 resident populations prepared by the United Nations Population Division in its 2006 revision.

      Estimates of causes of death

      78 countries in 2004 had complete data (coverage of 85% or more, and most were coded to the third or fourth character of the International Statistical Classification of Disease and Related Health Problems version 10 (ICD-10; table 1). We used vital registration data to estimate deaths by cause for 78 countries. However, usable death-registration data to establish cause of death were available for 112 countries, most of which were in the high-income group, and low-income and middle-income countries in Latin America and the Caribbean, Europe, and central Asia.
      Table 1Data sources for cause-of-death estimation for 2004 Global Burden of Disease study
      WHO
      High-income countries Low-income and middle-income countries by WHO region
      AFR AMR EMR EUR SEAR WPR World
      Death registration data with coverage of ≥85% 33 3 18 .. 17 1 6 78
      Death registration data with coverage of <85% with CodMod 2 .. 12 6 10 1 3 34
      Sample registration system .. .. .. .. .. 1 1 2
      CodMod, regional pattern of causes of death, and cause-specific estimates
      Epidemiological estimates obtained from studies, WHO technical programmes, and UNAIDS for: AIDS, tuberculosis, diphtheria, measles, pertussis, poliomyelitis, tetanus, dengue, malaria, schistosomiasis, trypanosomiasis, Japanese encephalitis, Chagas disease, maternal conditions (including abortion), cancers, drug-use disorders, rheumatoid arthritis, and war.
      4 43 2 10 .. 8 11 78
      Total countries 39 46 32 16 27 11 21 192
      AFR=African region. AMR=region of the Americas. EMR=eastern Mediterranean region. EUR=European region. SEAR=southeast Asia region. WPR=western Pacific region. CodMod=cause-of-death modelling. ..=no countries with this data type as highest level of data available.
      * Epidemiological estimates obtained from studies, WHO technical programmes, and UNAIDS for: AIDS, tuberculosis, diphtheria, measles, pertussis, poliomyelitis, tetanus, dengue, malaria, schistosomiasis, trypanosomiasis, Japanese encephalitis, Chagas disease, maternal conditions (including abortion), cancers, drug-use disorders, rheumatoid arthritis, and war.
      Statistics for cause of death are reported to WHO every year by country, year, cause, age, and sex. Deaths assigned to ICD codes for symptoms, signs, and ill-defined conditions, and some ill-defined codes in the cancer, cardiovascular disease, and injury chapters of ICD, were redistributed across defined causes. Percentages of deaths coded to these ill-defined causes varied from 4% in New Zealand to more than 30% in Sri Lanka and Thailand.
      • Mathers CD
      • Lopez AD
      • Murray CJL
      The burden of disease and mortality by condition: data, methods and results for 2001.
      When the latest available year for data was earlier than 2004, death-registration data from 1980 to the latest available year were used to project cause-specific trends for 2004. When distributions for very small countries were estimated, an average of data from the most recent 3 years was used to keep random variation to a minimum. For 34 countries with less than 85% coverage, cause-of-death modelling was used to adjust proportions of deaths in the three broad groups of causes to account for likely biases in cause-of-death distribution.
      • Mathers CD
      • Lopez AD
      • Murray CJL
      The burden of disease and mortality by condition: data, methods and results for 2001.
      Cause-of-death modelling for calculation of cause-of-death composition used 1613 country-years of historical death-registration data.
      For the 43 countries in the African region without useable death-registration data, regional patterns for broad-cause distribution were established on the basis of information that included the South African 2004 vital registration data, the Zimbabwe National Burden of Disease study 1997,
      • Chapman G
      • Hansen K
      • Jelsma J
      • et al.
      The burden of disease in Zimbabwe in 1997 as measured by disability-adjusted life years lost.
      INDEPTH
      • Adjuik M
      • Smith T
      • Clark S
      • et al.
      Cause-specific mortality rates in sub-Saharan Africa and Bangladesh.
      (international network of field sites with continuous demographic evaluation of populations and their health) verbal autopsy data from seven sites in Africa for 1999–2002, data from Antananarivo in Madagascar for 1976–95, and Mozambique Maputo Central Hospital Mortuary data for 1993–2004. For broad disease groups I, II, and III, the proportional distributions of total deaths (excluding those from HIV/AIDS and war) for urban populations were calculated on the basis of averages from the Madagascar urban death-registration data, South African death-registration data for 2004, the Zimbabwean 1997 estimates, and cause-of-death modelling predictions for 2004. All African INDEPTH sites were rural, and thus these data were regarded as representative of rural populations. Distributions of rural deaths were based on averages from data from the INDEPTH sites, the distribution in South African rural provinces, and distributions predicted with cause-of-death modelling.
      To estimate deaths by cause for the 34 countries outside Africa without usable death-registration data, we used cause-of-death modelling to estimate proportions of deaths in broad disease groups (I–III) by age and sex. These models were based on all-cause mortality (excluding deaths from HIV/AIDS, war, and natural disasters), gross national income per head, and region.
      • Murray CJL
      • Lopez AD
      Mortality by cause for eight regions of the world: Global Burden of Disease Study.
      For countries without complete death-registration data, 21 specific causes were further adjusted on the basis of epidemiological evidence from population-based studies, disease registers and notifications systems, and analyses by WHO programmes (more than 2700 datasets). These specific causes included HIV/AIDS, malaria, tuberculosis, cancers, drug dependence, war, and natural disasters. Almost a third of these datasets related to sub-Saharan Africa.
      Deaths were categorised with the framework of three broad-cause groups from previous burden-of-disease studies, but with maternal mortality as a distinct group to allow comparison between sex in group I causes of death.
      • Murray CJL
      • Lopez AD
      Mortality by cause for eight regions of the world: Global Burden of Disease Study.
      The four groups of death were: group IA, maternal mortality; group IB, communicable disease mortality including nutritional disorders; group II, non-communicable disease; and group III, injury including traffic accidents, fires, drowning, self-inflicted injury, and violence and war. Deaths assigned to ICD codes for symptoms, signs, and ill-defined conditions were proportionately redistributed to causes within groups I and II.

      Role of the funding source

      WHO funding allowed age-disaggregation of data. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.

      Results

      Of a worldwide population of 1·8 billion people aged 10–24 years, all-cause mortality was estimated at about 2·6 million deaths in 2004 (table 2). More than a third of deaths were in southeast Asia, with Africa having the next highest mortality (table 2). Relative risks (RR) for death in Africa were higher than in any other region, and nearly seven times higher than in high-income countries (table 2). Table 3 shows rates of all-cause mortality by the three age-groups for both sexes.
      Table 2Estimated total number of deaths and all-cause mortality rates (per 100 000) in people aged 10–24 years in 2004, classified by economic and geographic groupings
      Population per 100 000 (%) Number of deaths (%) Deaths per 100 000 population (RR
      Relative risks (RR) are estimated with high-income countries as the comparison.
      )
      High-income countries 189 869 (11%) 86 111 (3%) 45 (1)
      LMIC 1 575 878 (89%) 2 560 220 (97%) 162 (3·6)
      AFR
      No high-income countries in these regions.
      243 735 (14%) 744 222 (28%) 305 (6·7)
      AMR 157 273 (9%) 171 796 (6%) 109 (2·4)
      EMR 166 731 (9%) 282 320 (11%) 169 (3·7)
      EUR 118 428 (7%) 119 568 (5%) 101 (2·2)
      SEAR
      No high-income countries in these regions.
      498 093 (28%) 929 092 (35%) 187 (4·1)
      WPR 391 618 (22%) 313 222 (12%) 80 (1·8)
      World 1 765 746 (100%) 2 646 331 (100%) 150 (NA)
      LMIC=low-income and middle-income countries. AFR=African region. AMR=region of the Americas. EMR=eastern Mediterranean region. EUR=European region. SEAR=southeast Asia region. WPR=western Pacific region. NA=not applicable.
      * Relative risks (RR) are estimated with high-income countries as the comparison.
      No high-income countries in these regions.
      Table 32004 all-cause mortality rates (per 100 000) stratified by country classification, age-group, and sex
      Total mortality (per 100 000) All-cause mortality rates by sex
      Male mortality (per 100 000 males) Female mortality (per 100 000 females) Risk of death for males relative to females
      10–14 years 15–19 years 20–24 years Total 10–14 years 15–19 years 20–24 years Total 10–14 years 15–19 years 20–24 years Total 10–14 years 15–19 years 20–24 years Total
      High-income countries 16 49 69 45 19 67 101 63 12 29 34 27 1·6 2·3 2·9 2·4
      LMIC 103 150 244 162 103 156 275 174 104 143 211 150 1·0 1·1 1·3 1·2
      AFR
      No high-income countries in these regions.
      205 249 505 305 196 202 488 281 215 296 522 330 0·91 0·68 0·93 0·85
      AMR 45 113 175 109 52 160 269 157 39 66 81 61 1·3 2·4 3·3 2·6
      EMR 113 146 264 169 119 158 341 198 104 131 179 139 1·1 1·2 1·9 1·4
      EUR 39 90 168 101 49 125 257 147 30 54 77 54 1·6 2·3 3·3 2·7
      SEAR
      No high-income countries in these regions.
      122 184 264 187 117 176 261 181 127 192 266 192 0·92 0·92 0·98 0·94
      WPR 44 85 114 80 50 114 156 105 37 52 67 52 1·4 2·2 2·3 2·0
      World 95 139 224 150 95 147 255 162 94 131 191 137 1·0 1·1 1·3 1·2
      LMIC=low-income and middle-income countries. AFR=African region. AMR=region of the Americas. EMR=eastern Mediterranean region. EUR=European region. SEAR=southeast Asia region. WPR=western Pacific region.
      * No high-income countries in these regions.
      Relative risk of death in countries of low and middle income, compared with those of high income, was greatest in young adolescents, but the absolute difference was greatest in young adulthood (table 3). Males died at higher rates than did females in all age-groups and regions apart from Africa and southeast Asia (table 2). Risk in poor countries compared with high-income countries was higher for females than for males (RR 5·6 vs 2·8), largely because of the low rates for young women in high-income countries.
      Worldwide mortality rates were 2·4-fold higher in young adults than in young adolescents. High-income countries had the steepest relative rise in mortality from young adolescence to young adulthood (table 3). In low-income and middle-income countries, all-cause mortality in young adults was 2·4-times higher than in young adolescents (table 3). In the African region, all-cause mortality was high for all age-groups, with a female predominance most evident in the 15–19 year age-group. In low-income and middle-income countries in the American region, male mortality rose more than five-fold between early adolescence and young adulthood, and brought about a pronounced difference between sexes (RR 3·3; table 3).
      Low-income and middle-income countries in the eastern Mediterranean region had fairly high mortality in young adolescents, but did not have the pronounced rise that was noted for women aged 15–24 years in Africa and southeast Asia. In low-income and middle-income countries in the European region, mortality in young adolescents was low, but in males increased more than five times by young adulthood, with a resultant mortality gap compared with females. In the southeast Asian region, females died at greater rates than did males in all age-groups. Mortality in young adolescents varied from a high of around 22% in southeast Asia, Africa, and the eastern Mediterranean to a low of 13% in eastern Europe. Low-income and middle-income countries in the western Pacific region had the lowest regional mortality and an overall pattern similar to that of high-income countries (table 3).
      Causes of death were grouped into four broad categories. Figure 1 shows cause-specific mortality groups for high-income countries, low-income and middle-income countries by region, and the world. For worldwide deaths, group IA (maternal causes) and IB (communicable, perinatal, and nutritional causes) accounted for the highest proportion (48%) of mortality in young women aged 10–24 years. Overall group I deaths were almost 50% greater (RR 1·47) in females than in males, but this excess was attributable to maternal deaths. Worldwide mortality for group IB in the 10–24 year age-group was very similar for females and males (1·01). Early adolescent rates of deaths for group II (non-communicable diseases; 21 per 100 000 deaths per year) and group III (injuries; 26 per 100 000 per year) doubled by young adulthood (41 per 100 000 per year and 53 per 100 000, respectively).
      Figure thumbnail gr1
      Figure 1Mortality rates (per 100 000) due to maternal, communicable, non-communicable, and injury causes
      Mortality rates shown by sex, country classification, and age-group: 10–14 years (A), 15–19 years (B), and 20–24 years (C). Maternal=group IA. Communicable=group IB. Non-communicable=group II. Injury=group III. M=male deaths. F=female deaths. High income=high-income countries. LMICs=low-income and middle-income countries. AFR=African region. AMR=region of the Americas. EMR=eastern Mediterranean region. EUR=European region. SEAR=southeast Asia region. WPR=western Pacific region.
      For males, 28% of deaths were group I and 21% were group II. Worldwide, group III deaths were the most prominent and accounted for 51% of all male mortality. Group II deaths in males increased 2·6-fold (from 20 to 51 per 100 000 per year) and group I 1·7-fold (from 39 to 63 per 100 000 per year) between early adolescence and young adulthood. An almost four-fold rise in male deaths in group III was reported between early adolescence and young adulthood (from 36 to 141 per 100 000 per year). Mortality rates in all categories were lower in high-income countries than in other countries, and the largest differences were in group I deaths (figure 1). Both group IA and IB deaths were uncommon in high-income countries, and accounted for only 4% of mortality.
      The African region had the highest rates for both sexes and had high rates in each category (figure 1). Of note were the large numbers of group I female deaths, which grew 2·6-fold (from 155 to 402 per 100 000) between early adolescence and young adulthood. In low-income and middle-income countries in the American region, the increase in male mortality between early adolescence and young adulthood was largely from an eight-fold rise in group III deaths, which accounted for 72% of all male deaths and 52% of all deaths in adolescents and young adults in the region. In the eastern Mediterranean region, mortality was moderately high for both sexes in each age-group, but a pronounced rise in group III male deaths was noted between early adolescence and young adulthood (figure 1).
      In low-income and middle-income countries in the European region, the male predominance of deaths was largely due to more than a seven-fold rise in group III deaths between early adolescence and young adulthood (from 24 to 179 per 100 000), which accounted for 65% of male deaths and 48% of all deaths. In the southeast Asia region, group III causes were predominant (43%), with many deaths in groups I (36%) and II (21%). In western Pacific countries of low and middle incomes, 62% of male deaths and 42% of all deaths were due to group III causes.
      Figure 2 shows specific causes of group I deaths. Worldwide, maternal mortality accounted for 15% of all female deaths and 7% of all deaths in people aged 10–24 years. 11% of deaths were due to HIV/AIDS and tuberculosis, and rates of death from these diseases rose around five-fold between early adolescence and young adulthood (from 6·5 to 34 per 100 000 per year). However, mortality from lower respiratory tract infections was lower in young adults than in young adolescents (figure 2). Figure 3 shows specific causes of group II deaths. Cardiovascular-related deaths were the largest subgroup within group II, accounting for 6% of all deaths in 10–24-year-olds. 5% of all deaths were from cancer, and 5% were attributed to neuropsychiatric disorders and epilepsy.
      Figure thumbnail gr2
      Figure 2Specific group I causes of death stratified by sex, age-group, and region
      Specific group I causes of death are tuberculosis, HIV/AIDS, acute lower respiratory infection (ALRI), and maternal deaths. M=male deaths. F=female deaths. (A) Data for world, high-income countries, and low-income and middle-income countries (LMICs). (B) LMICs grouped by WHO region. AFR=African region. AMR=region of the Americas. EMR=eastern Mediterranean region. EUR=European region. SEAR=southeast Asia region. WPR=western Pacific region.
      Figure thumbnail gr3
      Figure 3Specific group II causes of death stratified by sex, age-group, and region
      Specific group II causes of death are cancer, cardiovascular disease (CVD), diabetes, epilepsy, and other neuropsychiatric causes. M=male deaths. F=female deaths. (A) Data for world, high-income countries, and low-income and middle-income countries (LMICs). (B) LMICs grouped by WHO region. AFR=African region. AMR=region of the Americas. EMR=eastern Mediterranean region. EUR=European region. SEAR=southeast Asia region. WPR=western Pacific region.
      Figure 4 shows specific causes of group III deaths. Traffic accidents were the largest contributor to group III in all age-groups and caused 14% of male and 5% of female deaths. 9% of young males died from violence and 6% of both sexes from suicide. Fire-related death was the third most common group III cause, accounting for 4% of female deaths. Drowning was common in both sexes and accounted for 5% of male and 2% of female deaths.
      Figure thumbnail gr4
      Figure 4Specific group III causes of death stratified by sex, age-group, and region
      Specific group III causes of death are traffic accidents, fire-related deaths, drowning, self-inflicted injury, and violence. Violence refers to deaths from both violence in and outside of war. M=male deaths. F=female deaths. (A) Data for world, high-income countries, and low-income and middle-income countries (LMICs). (B) LMICs grouped by WHO region. AFR=African region. AMR=region of the Americas. EMR=eastern Mediterranean region. EUR=European region. SEAR=southeast Asia region. WPR=western Pacific region.
      In high-income countries, traffic accidents caused 32% of deaths in males aged 10–24 years. Violence and suicide accounted for 10% and 15% of male mortality, respectively. Young adults had higher rates of death due to traffic accidents (RR 7·7), suicide (16), and violence (18) than did young adolescents. In females, traffic accidents (27%) and suicide (12%) were the main causes of death. Traffic accidents, violence, and suicide accounted for almost 80% of group III deaths in both sexes and more than half of all-cause mortality.
      In low-income and middle-income countries, group I mortality was largely due to HIV/AIDS and tuberculosis, and in females, due to maternal causes. In group III, violence and traffic accidents were most prominent in males, and suicide and fire-related deaths in females. Cardiovascular-related mortality was the most common group II cause, with rates in low-income and middle-income countries 3·4-fold higher in males and 4·7-fold higher in females than in high-income countries. Mortality rates for epilepsy (RR 4·3) and diabetes (3·4) were also higher in countries of low and middle income. In the African region, maternal mortality caused 26% of female deaths in those aged 10–24 years, with a clear rise in mortality with age (figure 2). Deaths due to HIV/AIDS and tuberculosis also increased with age, accounting for more than one in five of all deaths between early adolescence and young adulthood. The largest subgroup of group III causes in males was violence and war (16% of all deaths), followed by traffic accidents (8%), drowning (3%), and suicide (2%).
      In countries of low and middle income in the American region, high mortality rates for boys in late adolescence and young men were mainly due to violence. Such deaths were 26-fold higher in young men than in young adolescent males, and accounted for more than 42% of all deaths in those aged 15–24 years and for 9% of female deaths. Additionally, a rise of almost six-fold in traffic deaths and nine-fold in suicide was recorded for males between early adolescence and young adulthood.
      In low-income and middle-income countries in the eastern Mediterranean region, deaths due to violence and traffic accidents (17% and 16% of all male deaths, respectively) largely accounted for the rise in group III mortality with age. The main group III causes of female deaths were suicide (6%), traffic accidents (6%), fire-related (5%), and violence (4%). Maternal mortality contributed to the rise in group I deaths with age, accounting for 16% of all female deaths. For males, infectious diseases, especially tuberculosis, accounted for the rise in group I deaths with age.
      In European countries of low and middle income, the major group III causes of deaths in males aged 10–24 years were traffic accidents (17%), suicide (14%), and violence (9%), which largely contributed to the reported rise with age. In southeast Asian countries, male deaths in group I increased partly due to HIV/AIDS and tuberculosis, which constituted 10% of deaths in males aged 10–24 years. For females, the rise in group I deaths was largely the result of maternal mortality, with some contribution from HIV/AIDS and tuberculosis. For males, traffic accidents (9%), suicide (8%), and violence (4%) were the most common cause of group III deaths in this region. Fires (8%) and suicide (8%) contributed to the high group III mortality in females.
      In low-income and middle-income countries in the western Pacific, the main causes of group III deaths in males were traffic accidents (24%), drowning (14%), suicide (6%), and violence (6%). Increased mortality by age was mostly from traffic accidents (RR 9·2), which accounted for almost half of group III deaths. However, rates of drowning halved between early adolescence and young adulthood. For females, suicide (12%), road traffic accidents (11%), and drowning (11%) were the main group III causes of death. Cancer accounted for 9% and cardiovascular disease around 5% of all deaths.
      Table 4 shows the ten most common ICD-10 causes of mortality by age-group. Traffic accidents were the most frequent cause in all male age-groups and were the most common cause in young people overall. Suicide increased in both sexes in people aged 15–24 years, and was overall the second most common cause. Violence was common in males aged 15–24 years, and was the third most frequent cause overall.
      Table 4Ten most common causes of death by sex and age-group
      Males Females Total
      Cause Total deaths (×1000) (%) Cause Total deaths (×1000) (%) Cause Total deaths (×1000) (%)
      10–24 years
      1 Road traffic accidents 202 (13·9%) Low RTI 77 (6·7%) Road traffic accidents 259 (10·0%)
      2 Violence 133 (9·2%) Self-inflicted injuries 71 (6·2%) Self-inflicted injuries 164 (6·3%)
      3 Self-inflicted injuries 93 (6·4%) HIV/AIDS 71 (6·1%) Violence 157 (6·0%)
      4 Drownings 77 (5·3%) Tuberculosis 66 (5·8%) Low RTI 153 (5·9%)
      5 Tuberculosis 76 (5·2%) Road traffic accidents 57 (5·0%) Tuberculosis 142 (5·5%)
      6 Low RTI 76 (5·2%) Fire-related 50 (4·3%) HIV/AIDS 142 (5·5%)
      7 HIV/AIDS 71 (4·9%) Maternal haemorrhage 36 (3·2%) Drownings 106 (4·1%)
      8 War 41 (2·8%) Abortion 31 (2·6%) Fire-related 67 (2·6%)
      9 Leukaemia 28 (1·9%) Drownings 28 (2·5%) Meningitis 53 (2·0%)
      10 Meningitis 26 (1·8%) Meningitis 27 (2·3%) War 46 (1·8%)
      10–14 years
      1 Low RTI 30 (10·1%) Low RTI 36 (13·3%) Low RTI 66 (11·7%)
      2 Road traffic accidents 27 (9·4%) Meningitis 15 (5·3%) Road traffic accidents 41 (7·2%)
      3 Drownings 26 (9·0%) Malaria 13 (4·9%) Drownings 38 (6·7%)
      4 Malaria 13 (4·5%) Road traffic accidents 13 (4·9%) Malaria 27 (4·7%)
      5 HIV/AIDS 11 (3·9%) Drownings 12 (4·4%) Meningitis 24 (4·2%)
      6 Meningitis 9 (3·2%) HIV/AIDS 11 (4·1%) HIV/AIDS 23 (4·0%)
      7 Tuberculosis 8 (2·8%) Diarrhoeal diseases 10 (3·5%) Tuberculosis 17 (3·1%)
      8 Diarrhoeal diseases 7 (2·4%) Tuberculosis 9 (3·4%) Diarrhoeal diseases 17 (2·9%)
      9 War 7 (2·2%) Protein-energy malnutrition 7 (2·7%) Protein-energy malnutrition 13 (2·3%)
      10 Self-inflicted injuries 6 (2·2%) Fire-related 7 (2·6%) Self-inflicted injuries 11 (2·0%)
      15–19 years
      1 Road traffic accidents 72 (16·2%) Self-inflicted injuries 31 (8·2%) Road traffic accidents 96 (11·6%)
      2 Violence 42 (9·3%) Road traffic accidents 23 (6·2%) Self-inflicted injuries 60 (7·3%)
      3 Self-inflicted injuries 29 (6·5%) Low RTI 21 (5·6%) Violence 51 (6·2%)
      4 Drownings 29 (6·4%) Tuberculosis 20 (5·2%) Low RTI 45 (5·4%)
      5 Low RTI 24 (5·3%) Fire-related death 17 (4·7%) Drownings 40 (4·8%)
      6 Tuberculosis 20 (4·4%) Maternal haemorrhage 13 (3·4%) Tuberculosis 39 (4·8%)
      7 Leukaemia 11 (2·6%) Abortion 12 (3·2%) Fire-related 22 (2·7%)
      8 HIV/AIDS 10 (2·3%) Drownings 11 (2·9%) HIV/AIDS 19 (2·3%)
      9 Meningitis 9 (2·1%) Hypertensive disorders 10 (2·7%) Leukaemia 18 (2·1%)
      10 Falls 8 (1·8%) Violence 10 (2·5%) Meningitis 16 (1·9%)
      20–24 years
      1 Road traffic accidents 102 (14·4%) HIV/AIDS 51 (10·1%) Road traffic accidents 122 (10·1%)
      2 Violence 85 (12·0%) Tuberculosis 37 (7·4%) HIV/AIDS 101 (8·3%)
      3 Self-inflicted injuries 58 (8·2%) Self-inflicted injuries 35 (7·0%) Violence 96 (8·0%)
      4 HIV/AIDS 50 (7·0%) Fire-related 25 (5·0%) Self-inflicted injuries 93 (7·7%)
      5 Tuberculosis 48 (6·8%) Maternal haemorrhage 24 (4·7%) Tuberculosis 85 (7·1%)
      6 War 28 (4·0%) Road traffic accidents 21 (4·1%) Low RTI 42 (3·5%)
      7 Drownings 22 (3·2%) Low RTI 20 (4·0%) Fire-related 34 (2·8%)
      8 Low RTI 22 (3·1%) Abortion 19 (3·7%) War 29 (2·4%)
      9 Poisonings 14 (1·9%) Hypertensive disorders 12 (2·4%) Drownings 28 (2·3%)
      10 Leukaemia 11 (1·5%) Maternal sepsis 11 (2·3%) Maternal haemorrhage 24 (2·0%)
      Low RTI=lower respiratory tract infections.
      Infectious diseases were frequent in both sexes in all age-groups. Deaths from lower respiratory tract infections were the most common cause in young adolescents, and although rates fell somewhat with age, it was the fourth most frequent cause of mortality overall. Rates of HIV/AIDS and tuberculosis increased substantially between early adolescence and young adulthood, and accounted for 17% of female and almost 14% of male deaths in young adulthood. Overall, tuberculosis and HIV/AIDS were ranked fifth and sixth, and accounted for more deaths than did traffic accidents. Maternal causes of death (maternal haemorrhage, sepsis, and abortion) were common in females aged 15–24 years.

      Discussion

      Findings from this study have shown that only 3% of deaths were in high-income countries, even though 11% of young people live in these settings. Mortality rates in low-income and middle-incomes countries were almost four-fold higher than were those in high-income countries, a difference that was particularly pronounced for young women. Rates were highest in Africa and southeast Asia; these regions accounted for around two-thirds of worldwide deaths in young people, but constituted only 42% of the population. Female death rates were generally lower than were those for males, apart from in African and southeast Asian regions, where the increased number of female deaths was largely from maternal mortality, with deaths from suicide, fire, HIV/AIDS, and tuberculosis also contributing. High rates of death from injury in young women in southeast Asia and Africa contrasted greatly with low rates in low-income and middle-income countries of Central and South America, western Pacific, and eastern Europe.
      Major barriers exist to presentation of an adequate worldwide profile of mortality in any age-group.
      • AbouZahr C
      • Cleland J
      • Coullare F
      • et al.
      The way forward.
      Less than a third of the world's populations have complete national registration data for cause-specific deaths. Countries with the lowest life expectancies have the greatest scarcity of data.
      • Murray CJL
      • Lopez AD
      Mortality by cause for eight regions of the world: Global Burden of Disease Study.
      • Setel P
      • Macfarlane SB
      • Szreter S
      • et al.
      A scandal of invisibility: making everyone count by counting everyone.
      Sample registration systems provide a source of cause-specific mortality data for some countries with low and middle incomes.
      • Hill K
      • Lopez AD
      • Shibuya K
      • Jha P
      Interim measures for meeting needs for health sector data: births, deaths, and causes of death.
      However, for many poor countries, including most of sub-Saharan Africa, verbal autopsy within recent surveys was the main source of data.
      • Hill K
      • Lopez AD
      • Shibuya K
      • Jha P
      Interim measures for meeting needs for health sector data: births, deaths, and causes of death.
      We included estimates of cause-specific deaths for regions with scarce death-registration data and wide uncertainty ranges, because exclusion of these regions would result in a potentially biased picture of worldwide mortality. In an early analysis of the 2001 Global Burden of Disease study,
      • Mathers CD
      • Salomon JA
      • Ezzati M
      • Begg S
      • Lopez AD
      Sensitivity and uncertainty analyses for burden of disease and risk factor estimates.
      researchers estimated that uncertainty in all-cause mortality ranged from 1% for high-income countries to 15–20% for sub-Saharan Africa. Uncertainty ranges were generally large for deaths from specific diseases. Uncertainty for deaths from traffic accidents ranged from 3% for high-income countries to 25% for sub-Saharan Africa, and for stroke from 10% for high-income countries to 30% for sub-Saharan Africa.
      WHO
      In our analyses, uncertainty ranges are almost certainly larger than are those from the Global Burden of Disease study
      • Bryce J
      • Boshi-Pinto C
      • Shibuya K
      • Black RE
      WHO estimates of the causes of death in children.
      for all ages combined. Improved registration of deaths and development of alternative research methods for study of mortality in this age-group remains important.
      • AbouZahr C
      • Cleland J
      • Coullare F
      • et al.
      The way forward.
      Since progress towards civil registration in many low-income countries will probably be slow, attainment of valid data for young people from these sources will be essential in the foreseeable future.
      • Boerma JT
      • Sommerfelt E
      • Van Ginneken JK
      • Chandramohan D
      • Shibuya K
      • Setel P
      • et al.
      Should data from demographic surveillance systems be made more widely available to researchers.
      Some caution is needed when regional mortality estimates are extrapolated to a country level. For example, in the western Pacific all-cause rates of death were low and cause-specific mortality was similar to that in high-income countries. However, these estimates are dominated by China—the most populous country in the region. Small countries in this region, such as Papua New Guinea, have patterns of death similar to those in regions of high mortality.
      • Duke T
      • Michael A
      • Mgone J
      • Frank D
      • Wal T
      • Sehuko R
      Etiology of child mortality in Goroka, Papua New Guinea: a prospective two-year study.
      Regional differences in age of onset of sexual activity and availability and accessibility of condoms, contraception, safe abortion, antenatal and obstetric care, and HIV testing are some of the reasons for the rise in female mortality with age.
      • Ronsmans C
      • Graham WJ
      Maternal mortality: who, when, where and why.
      • Bearinger LH
      • Sieving RE
      • Ferguson J
      • Sharma V
      Global perspectives on the sexual and reproductive health of adolescents: patterns, prevention, and potential.
      High maternal mortality rates in some low-income and middle-income countries have been previously described,
      • Hill K
      • Thomas K
      • AbouZahr C
      • et al.
      Estimates of maternal mortality worldwide between 1990 and 2005: an assessment of available data.
      and are the target of the fifth Millennium Development Goal. Prominence of maternal death in this young age-group should be a further incentive for promotion of developmentally appropriate sexual and reproductive health services for young people.
      • Bearinger LH
      • Sieving RE
      • Ferguson J
      • Sharma V
      Global perspectives on the sexual and reproductive health of adolescents: patterns, prevention, and potential.
      In view of the high number of deaths due to abortion, to ensure not only that contraception is available but also that all abortions are safe would do much towards reduction of mortality in young women.
      • Sedgh G
      • Henshaw S
      • Singh S
      • Ahman E
      • Shah IH
      Induced abortion: estimated rates and trends worldwide.
      In regions without substantial maternal mortality, rates of female deaths generally remained low throughout adolescence and young adulthood.
      In males, injury deaths contributed most to the rise in mortality with age worldwide, but rates and patterns of causes varied substantially across regions. Injuries account for around 10% of worldwide mortality for all ages, but in people aged 10–24 years they accounted for more than 40% of all deaths and about half of male deaths.
      • Murray CJL
      • Lopez AD
      Mortality by cause for eight regions of the world: Global Burden of Disease Study.
      • Lopez A
      Health and health-research priorities: has WHO got it right?.
      The importance of injury deaths in young people in high-income countries has been recognised.
      • Singh GK
      • Yu SM
      Trends and differential in adolescent and young adult mortality in the United States, 1950 through 1993.
      • Schlueter V
      • Narring F
      • Munch U
      • Michaud PA
      Trends in violent deaths among young people 10–24 years olds, in Switzerland, 1969–1997.
      However, injury mortality was most prominent in low-income and middle-income countries. This finding emphasises the need for heightened investment in injury-prevention programmes for this age-group.
      • Stuckler D
      • King L
      • Robinson H
      • McKee M
      WHO's budgetry allocations and burden of disease: a comparative analysis.
      Diverse responses are needed because patterns of injury deaths varied substantially between regions. An increase in traffic-related deaths in many high-income countries up until the 1980s resulted in coordinated intersectoral policy responses, with a subsequent fall in mortality.
      • Krug EG
      • Sharma GK
      • Lozano R
      The global burden of injuries.
      • Sells CW
      • Blum RW
      Morbidity and mortality among US adolescents: an overview of data and trends.
      Typical preventive measures include investments in road infrastructure, compulsory seatbelts and helmets, and enforcement of legislation for use of alcohol and other drugs when driving.
      Further regional differences in priorities exist for prevention. In the western Pacific region, drowning caused most injury deaths in children aged 10–14 years.
      • Yang I
      • Nong QQ
      • Li CI
      • Feng QM
      • Lo SK
      Risk factors for childhood drowning in rural regions of a developing country.
      Simple policy responses such as improved availability of swimming lessons in childhood and teaching about the hazards of water could prevent many deaths.
      WHO, UNICEF
      World report on child injury prevention.
      • Wang SY
      • Li YH
      • Chi GB
      • et al.
      Injury-related fatalities in China: an under-recognised public-health problem.
      For deaths caused by violence, suicide, and accidental injury, policy responses will probably need to be complex and target a wide range of ages, but with particular benefits for this young age-group.
      • Karkhaneh M
      • Kalenga JC
      • Hagel BE
      • Rowe BH
      Effectiveness of bicycle helmet legislation to increase helmet use: a systematic review.
      In Central and South America, violence was the major cause of injury deaths in young men. Firearms are responsible for up to 97% of homicide deaths in countries in this region, making a strong case for strengthened gun control.
      • Falbo GH
      • Buzzetti R
      • Cattaneo A
      Homicide in children and adolescents: a case-control study in Recife, Brazil.
      However, without policies to address the illicit drug industry, few employment opportunities, urban segregation, and a culture of machismo, gun control alone is unlikely to be effective.
      • Briceno-Leon R
      • Villaveces A
      • Concha-Eastman A
      Understanding the uneven distribution of the incidence of homicide in Latin America.
      In eastern Europe, patterns of injury deaths in young men were complex, with homicide, traffic injuries, and suicide all common. The emergence of a large black or underground economy with a so-called criminological transition and exposure to violence might be one reason why rapid socioeconomic transition affects mortality in young men.
      • Ahmed N
      • Andersson R
      Unintentional injury mortality and socio-economic development among 15–44-year-olds in a health transition perspective.
      • Pridmore WA
      Change and stability of characteristics of homicide victims, offender and incidents during rapid social change.
      Furthermore, heightened alcohol misuse has been linked to changes in rates of suicide, accidental injury, and homicide, and could be a further target for prevention.
      • Bye K
      Alcohol and homicide in Eastern Europe.
      • Nemtsov A
      Suicides and alcohol consumption in Russia, 1965–1999.
      • McKee M
      • Shkolnikov V
      Understanding the toll of premature death among men in eastern Europe.
      In southeast Asia, the number of injury deaths in young women, particularly from fire-related death and suicide, was pronounced. Previous reports
      • Murray CJL
      • Lopez AD
      Mortality by cause for eight regions of the world: Global Burden of Disease Study.
      • Ambade V
      • Godbole H
      Study of burn deaths in Nagpur, central India.
      • Batra A
      Burn mortality: recent trends and socio-cultural determinants in rural India.
      from India have attributed these deaths to suicide and accidents, but the role of violence from family members is important in many cases. Restricted access to pesticides in rural India will probably be an important element of suicide prevention.
      • Wang SY
      • Li YH
      • Chi GB
      • et al.
      Injury-related fatalities in China: an under-recognised public-health problem.
      • Aaron R
      • Joseph A
      • Abraham S
      • et al.
      Suicides in young people in rural Southern India.
      • Kanchan T
      • Menezes RG
      Suicidal poisoning in Southern India: gender differences.
      Increases in mortality between early adolescence and young adulthood suggest major underlying shifts in health status that have so far attracted little attention from policy-makers. In some regions, including Africa and southeast Asia, group I causes of death rise in adolescence and young adulthood and thus are of major importance. Present global health policies for the prevention and management of HIV, and provision of access to information and services for sexual and reproductive health, will probably have major benefits.
      • Caldwell JC
      Population health in transition.
      However, even in these regions, tuberculosis and lower respiratory tract infections cause more youth deaths than does HIV/AIDS, but have not yet attracted a similar response in policy. Importantly, group I causes of death were not prominent in most low-income and-middle-income countries. In the western Pacific and eastern Europe, although overall death rates were increased, patterns of death resembled those reported in high-income regions, suggesting a need for very different strategies.
      Contributors
      GCP conceived the idea for this report in consultation with WHO's authors (JF, KB, CDM) and developed the analytical plan with CC, CDM, DMH, SMS, and RMV. CDM was responsible for development of the dataset and advised about data analyses. CC and GCP undertook the data analysis in consultation with CDM and RMV. GCP prepared the initial draft in consultation with all authors. TV participated in drafting the report. All authors commented on subsequent drafts.
      Conflicts of interest
      RMV has undertaken paid consultation about adolescent health for WHO. All other authors declare that they have no conflicts of interest.
      Acknowledgments
      The age disaggregation of the Global Burden of Disease data was supported with funds from WHO. GCP is supported by a Senior Principal Research Fellowship from the National Health and Medical Research Council. We thank Professor John Carlin for his comments on an early version of the analysis.

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      • Young people: not as healthy as they seem
        • Over the past 25 years, there have been major shifts in causes of mortality and morbidity among young people (aged 10–24 years). HIV/AIDS was essentially unknown 25 years ago, and other infectious diseases, such as pulmonary infections, were leading causes of death in this age-group. Suicide was less common than it is today, and deaths from motor vehicles were much less frequent in many countries of the world than they are now. Additionally, in 1985, more young women married at an earlier age than they do today, fewer young people went to school, and increased numbers lived in rural areas.
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