25
DYING TOO YOUNG: CHALLENGES AND OPTIONS IN THE RUSSIAN FEDERATION THE WORLD BANK Human Development Sector Unit Russia Country Department Europe and Central Asia Region Patricio Marquez December 2005

DYING TOO YOUNG: CHALLENGES AND OPTIONS IN THE RUSSIAN FEDERATION

  • Upload
    tiva

  • View
    30

  • Download
    0

Embed Size (px)

DESCRIPTION

DYING TOO YOUNG: CHALLENGES AND OPTIONS IN THE RUSSIAN FEDERATION. THE WORLD BANK Human Development Sector Unit Russia Country Department Europe and Central Asia Region Patricio Marquez December 2005. President Vladimir Putin - PowerPoint PPT Presentation

Citation preview

  • DYING TOO YOUNG: CHALLENGES AND OPTIONS IN THE RUSSIAN FEDERATIONTHE WORLD BANK

    Human Development Sector Unit Russia Country DepartmentEurope and Central Asia Region

    Patricio Marquez December 2005

  • President Vladimir PutinState-of-the-Nation Address, Federal Assembly of the Russian Federation, April 25, 2005We cannot reconcile ourselves to the fact that the life expectancy of Russian women is nearly 10 years and of men nearly 16 years shorter than in Western Europe. Many of the current mortality factors can be remedied, and without particular expenseThe reasons are well known. And we should implement a whole range of measures to overcome this dreadful situation.

  • Presentation OverviewThe demographic decline and the health deficitDeterminants ConsequencesStrategies and interventions to prevent non-communicable diseases and injuries in RussiaActions to confront non-communicable diseases and injuriesExpected health improvements Potential economic benefitsConclusions and the way forward

  • Estimated Population Growth Rates, Russia, 198085 to 202025 Source: UN Population Projections, 2004 Revisions

    Chart3

    0.66

    0.68

    -0.02

    -0.34

    -0.57

    -0.58

    -0.6

    -0.67

    -0.73

    Percent

    Sheet6

    Dependency Ratios

    1995200020052010201520202025

    Total50444037394449

    Child32262018192020

    Elderly18182018202429

    Population 60+ and

  • Life Expectancy and Adult Mortality in Selected Countries, 20002001 Source: World Bank World Development Indicators

  • Mortality among the Working-Age Population in Russia Drives Fluctuations in Life Expectancy Source: WHO European Health for All Database

  • Life Expectancy at Birth: Russia and the EU, 19702000Source: WHO European Health for All Database

  • European Unionaverage

    Russia

    M+F combined

  • Healthy Life Expectancy (HALE) at Birth in Russia and Four European Countries, 2002 Source: WHO Health For All Database

  • Male Adult Mortality and Gross National Income per Capita in Selected Countries, 2000 Source: World Bank World Development Indicators. Note: PPP is purchasing power parity.

    Chart1

    5.3423342525.3423342526.0799331951

    5.40717177155.40717177155.0434251169

    5.56452040735.5645204073

    5.94279937515.9427993751

    5.29831736655.29831736656.1984787165

    5.47646355195.47646355195.2094861528

    5.03695260245.03695260245.2149357576

    5.15905529925.1590552992

    5.75574221365.75574221364.605170186

    5.52146091795.52146091794.8283137373

    5.68697535635.68697535635.5872486584

    5.90263333345.90263333344.7874917428

    5.81413053185.81413053185.5683445038

    5.79301360845.79301360845.1929568509

    5.65599181085.65599181084.8520302639

    5.07517381525.07517381525.2983173665

    5.78382518235.78382518235.9506425526

    5.42053499935.4205349993

    5.5606816315.5606816315.5909869805

    6.05912319566.05912319565.5759491031

    5.19295685095.19295685096.5553568918

    5.37527840775.37527840775.5568280617

    5.13579843715.13579843714.9698132996

    5.6801726095.6801726096.3261494732

    5.63764267225.63764267226.4738906964

    5.89989735365.89989735365.9427993751

    5.64190707095.64190707096.1903154059

    6.07993319514.6151205168

    5.04342511695.3471075307

    6.429719478

    6.19847871656.1070228877

    5.20948615284.7858236857

    5.21493575765.0172798368

    5.081404365

    4.6051701865.4722706737

    4.82831373735.9427993751

    5.58724865846.3473892097

    4.78749174286.163314804

    5.56834450384.8751973232

    5.19295685096.3153580015

    4.85203026394.9628446303

    5.29831736654.7535901911

    5.95064255264.8598124044

    6.3801225369

    5.59098698055.2094861528

    5.57594910315.4553211154

    6.55535689185.2933048247

    5.55682806175.3471075307

    4.96981329965.5214609179

    6.32614947325.8260001074

    6.47389069646.200509174

    5.94279937516.3868793194

    6.1903154059

    4.61512051685.4806389233

    5.34710753074.9698132996

    4.9698132996

    6.4297194785.1873858058

    6.10702288775.9401712527

    4.78582368575.9215784196

    5.01727983684.836281907

    5.0814043655.9375362051

    5.47227067374.7361984484

    5.9427993751

    6.34738920975.3082676974

    6.1633148045.022563865

    4.87519732325.6559918108

    6.31535800156.0684255882

    4.96284463036.2045577626

    4.75359019115.7004435734

    4.85981240446.2614916843

    6.38012253695.3981627015

    5.20948615284.6221374248

    5.45532111544.4426512565

    5.29330482475.5214609179

    5.34710753075.4475990693

    5.52146091795.1357984371

    5.82600010745.5529595849

    6.2005091744.6821312271

    6.3868793194

    4.5951198501

    5.48063892334.7004803658

    4.96981329965.1298987149

    4.96981329964.5849674787

    5.18738580585.2933048247

    5.94017125276.3595738687

    5.92157841965.5947113796

    4.8362819075.4722706737

    5.93753620515.2257466737

    4.73619844844.605170186

    5.8721177895

    5.30826769745.257495372

    5.0225638656.5027900459

    5.65599181086.1047932324

    6.06842558825.3471075307

    6.2045577626

    5.70044357344.9052747784

    6.26149168434.3870141762

    5.39816270155.9532433343

    4.62213742486.552507887

    4.44265125655.3082676974

    5.52146091795.429345629

    5.44759906936.2499752423

    5.13579843714.7095302013

    5.55295958495.7104270174

    4.68213122715.8777357818

    5.429345629

    4.5951198501

    4.70048036585.1929568509

    5.12989871495.4930614433

    4.5849674787

    5.29330482475.6347896032

    6.35957386875.1590552992

    5.59471137966.5132301109

    5.47227067375.8377304472

    5.22574667376.5439118456

    4.6051701865.7493929859

    5.87211778954.5538768916

    5.2574953724.8828019226

    6.50279004595.1873858058

    6.10479323244.6821312271

    5.34710753075.4161004022

    6.1590953885

    4.90527477846.09356977

    4.3870141762

    5.95324333434.6728288345

    6.5525078875.2311086169

    5.30826769745.3981627015

    5.429345629

    6.24997524234.9767337424

    4.70953020135.8833223885

    5.71042701745.1532915945

    5.87773578185.2470240722

    5.4293456295.5174528965

    5.0998664278

    5.19295685095.0159544556

    5.49306144335.1532915945

    6.5027900459

    5.63478960325.4889377262

    5.1590552992

    6.51323011095.5947113796

    5.83773044725.1984970313

    6.54391184565.8721177895

    5.74939298595.5909869805

    4.55387689166.3750248198

    4.88280192264.7361984484

    5.18738580585.3981627015

    4.68213122716.2461067655

    5.41610040226.3403593037

    6.15909538854.8040210447

    6.093569775.4971682253

    5.4930614433

    4.67282883455.2430037208

    5.23110861695.5053315359

    5.39816270155.8318824773

    5.4380793089

    4.97673374246.4409465406

    5.88332238854.5108595065

    5.15329159454.5951198501

    5.24702407225.1357984371

    5.51745289656.3438804341

    5.09986642785.5012582105

    5.0159544556

    5.15329159456.1312264895

    6.50279004595.4205349993

    5.48893772625.342334252

    5.1298987149

    5.59471137965.3844950628

    5.19849703136.4248690239

    5.87211778954.9628446303

    5.59098698054.6913478822

    6.37502481984.9904325868

    4.73619844845.2203558251

    5.39816270155.4806389233

    6.24610676555.1817835503

    6.34035930375.313205979

    4.80402104474.6405373298

    5.49716822535.0776706954

    5.49306144335.6276211137

    5.24300372086.5861716549

    5.50533153596.4769723629

    5.8318824773

    5.4380793089

    6.4409465406

    4.5108595065

    4.5951198501

    5.1357984371

    6.3438804341

    5.5012582105

    6.1312264895

    5.4205349993

    5.342334252

    5.1298987149

    5.3844950628

    6.4248690239

    4.9628446303

    4.6913478822

    4.9904325868

    5.2203558251

    5.4806389233

    5.1817835503

    5.313205979

    4.6405373298

    5.0776706954

    5.6276211137

    6.5861716549

    6.4769723629

    GNI per capita PPP 2000 (in log)

    Male adult mortality 2000 (in log)

    ALB

    ARM

    AZE

    BLR

    BGR

    HRV

    CZE

    EST

    GEO

    HUN

    KAZ

    KGZ

    LVA

    LTU

    MKD

    MDA

    POL

    ROM

    RUSSIA

    SVK

    SVN

    TJK

    TKM

    UKR

    UZB

    WDI adult mortality

    Adult male mortalityAdult female mortalityGNI pc PPPAdult male mortalityAdult female mortalityGNI pc PPPAdult male mortalityAdult female mortalityGNI pc PPPAdult male mortalityAdult female mortalityGNI pc PPP

    Figure 1.10.Male Adult Mortality and Gross National Income per Capita in Selected Countries, 2000

    Adult male mortalityAdult female mortalityGNI pc PPP

    Country CodeCountry Name200020002000ln GNIpc 2000ln Adu Male Mort 2000ln GNIpc 2000ln Adu Female Mort 2000

    ALBAlbania209954,180ALB8.33815.34238.33814.5539

    ARMArmenia2231062,490ARM7.82005.40727.82004.6634

    AZEAzerbaijan2611502,430AZE7.79565.56457.79565.0106

    BLRBelarus3811334,810BLR8.47855.94288.47854.8903

    BIHBosnia and Herzegovina20093BIH5.29834.5326

    BGRBulgaria2391036,070BGR8.71115.47658.71114.6347Y=8.8118 - 0.3915X; R2=0.6517

    HRVCroatia1541178,880HRV9.09165.03709.09164.7622

    CZECzech Republic1747513,620CZE9.51935.15919.51934.3175

    ESTEstonia3161149,870EST9.19735.75579.19734.7362

    GEOGeorgia2501331,950GEO7.57565.52157.57564.8903

    HUNHungary29512311,930HUN9.38685.68709.38684.8122

    KAZKazakhstan3662014,310KAZ8.36875.90268.36875.3033

    KGZKyrgyz Republic3352991,460KGZ7.28625.81417.28625.7004

    LVALatvia3281227,640LVA8.94125.79308.94124.8040

    LTULithuania2861068,570LTU9.05605.65609.05604.6634

    MKDMacedonia, FYR160896,490MKD8.77805.07528.77804.4886

    MDAMoldova3251651,350MDA7.20795.78387.20795.1059

    POLPoland226889,850POL9.19525.42059.19524.4773

    ROMRomania2601175,670ROM8.64295.56078.64294.7622

    RUSRussian Federation4281567,050RUS8.86086.05918.86085.0499

    YUGSerbia and Montenegro180100YUG5.19304.6052

    SVKSlovak Republic2168311,250SVK9.32815.37539.32814.4188

    SVNSlovenia1707616,640SVN9.71965.13589.71964.3307

    TJKTajikistan293204760TJK6.63335.68026.63335.3181

    TKMTurkmenistan280.8157.23,440TKM8.14325.63768.14325.0575

    UKRUkraine3651353,980UKR8.28905.89998.28904.9053

    UZBUzbekistan2821761,490UZB7.30655.64197.30655.1705

    AFGAfghanistan4373766.07995.9296

    DZAAlgeria1551195,1508.54685.04348.54684.7791

    ASMAmerican Samoa

    ADOAndorra

    AGOAngola4923861,5907.37156.19857.37155.9558

    ATGAntigua and Barbuda1831339,6709.17685.20959.17684.8903

    ARGArgentina1849211,8209.37755.21499.37754.5218

    ABWAruba

    AUSAustralia1005425,43010.14374.605210.14373.9890

    AUTAustria1256027,57010.22454.828310.22454.0943

    BHSBahamas, The26716116,0809.68535.58729.68535.0814

    BHRBahrain1209315,2209.63044.78759.63044.5326

    BGDBangladesh2622521,6107.38405.56837.38405.5294

    BRBBarbados18011514,8709.60715.19309.60714.7449

    BELBelgium1286726,99010.20324.852010.20324.2047

    BLZBelize2001245,1308.54295.29838.54294.8203

    BENBenin3843289706.87735.95066.87735.7930

    BMUBermuda

    BTNBhutan2682225.59105.4027

    BOLBolivia2642192,3207.74935.57597.74935.3891

    BWABotswana7036697,0408.85946.55548.85946.5058

    BRABrazil2591367,1708.87775.55688.87774.9127

    BRNBrunei144944.96984.5433

    BFABurkina Faso5595071,0106.91776.32616.91776.2285

    BDIBurundi6486035906.38016.47396.38016.4019

    KHMCambodia3813221,7707.47875.94287.47875.7746

    CMRCameroon4884401,7507.46746.19037.46746.0868

    CANCanada1015727,18010.21024.615110.21024.0431

    CPVCape Verde2101214,6008.43385.34718.43384.7958

    CYMCayman Islands

    CAFCentral African Republic6205731,1507.04756.42977.04756.3509

    TCDChad4493618606.75696.10706.75695.8889

    CHIChannel Islands119.845.64.78583.8199

    CHLChile151678,8909.09275.01739.09274.2047

    CHNChina1611103,8108.24545.08148.24544.7005

    COLColombia2381155,9608.69285.47238.69284.7449

    COMComoros3813251,6307.39635.94287.39635.7838

    ZARCongo, Dem. Rep.5714936406.46156.34746.46156.2005

    COGCongo, Rep.4754066806.52216.16336.52216.0064

    CRICosta Rica131788,2109.01314.87529.01314.3567

    CIVCote d'Ivoire5534941,4807.29986.31547.29986.2025

    CUBCuba143944.96284.5433

    CYPCyprus1165917,0709.74514.75369.74514.0775

    DNKDenmark1298228,72010.26534.859810.26534.4067

    DJIDjibouti5905411,9807.59096.38017.59096.2934

    DMADominica1831055,2608.56795.20958.56794.6540

    DOMDominican Republic2341465,8308.67085.45538.67084.9836

    ECUEcuador1991203,0608.02625.29338.02624.7875

    EGYEgypt, Arab Rep.2101473,5808.18315.34718.18314.9904

    SLVEl Salvador2501484,6108.43605.52158.43604.9972

    GNQEquatorial Guinea3392805,6508.63945.82608.63945.6348

    ERIEritrea4934419406.84596.20056.84596.0890

    ETHEthiopia5945357006.55116.38696.55116.2823

    FROFaeroe Islands

    FJIFiji2401804,7908.47435.48068.47435.1930

    FINFinland1446124,83010.11984.969810.11984.1109

    FRAFrance1446125,53010.14764.969810.14764.1109

    PYFFrench Polynesia17998.65.18744.5911

    GABGabon3803305,2908.57365.94028.57365.7991

    GMBGambia, The3733201,6607.41465.92167.41465.7683

    DEUGermany1266025,95010.16394.836310.16394.0943

    GHAGhana3793261,9107.55495.93757.55495.7869

    GRCGreece1144716,8609.73274.73629.73273.8501

    GRLGreenland

    GRDGrenada2021596,8108.82615.30838.82615.0689

    GUMGuam151.882.65.02264.4140

    GTMGuatemala2861823,9208.27385.65608.27385.2040

    GINGuinea4323661,9207.56016.06847.56015.9026

    GNBGuinea-Bissau4954277506.62016.20466.62016.0568

    GUYGuyana2992093,7608.23225.70048.23225.3423

    HTIHaiti5243731,6607.41466.26157.41465.9216

    HNDHonduras2211572,4507.80385.39827.80385.0562

    HKGHong Kong, China101.711252.426,31010.17774.622110.17773.9589

    ISLIceland855127,96010.23854.442710.23853.9318

    INDIndia2501912,4007.78325.52157.78325.2523

    IDNIndonesia232.2180.22,8407.95165.44767.95165.1941

    IRNIran, Islamic Rep.1701395,9408.68955.13588.68954.9345

    IRQIraq2582085.55305.3375

    IRLIreland1086225,97010.16474.682110.16474.1271

    IMYIsle of Man

    ISRIsrael995619,4909.87774.59519.87774.0254

    ITAItaly1105324,73010.11584.700510.11583.9703

    JAMJamaica1691273,5108.16345.12998.16344.8442

    JPNJapan984426,30010.17734.585010.17733.7842

    JORJordan1991443,9108.27135.29338.27134.9698

    KENKenya5785299906.89776.35966.89776.2710

    KIRKiribati2692085.59475.3375

    PRKKorea, Dem. Rep.2381925.47235.2575

    KORKorea, Rep.1867115,1409.62515.22579.62514.2627

    KWTKuwait1006818,6309.83254.60529.83254.2195

    LAOLao PDR3552991,5107.31995.87217.31995.7004

    LBNLebanon1921364,4508.40075.25758.40074.9127

    LSOLesotho6676302,7307.91216.50287.91216.4457

    LBRLiberia4483856.10485.9532

    LBYLibya2101575.34715.0562

    LIELiechtenstein

    LUXLuxembourg1356450,94010.83844.905310.83844.1589

    MACMacao, China80.451.619,1409.85954.38709.85953.9435

    MDGMadagascar3853228106.69705.95326.69705.7746

    MWIMalawi7016535906.38016.55256.38016.4816

    MYSMalaysia2021138,2109.01315.30839.01314.7274

    MDVMaldives2282265.42935.4205

    MLIMali5184467306.59306.25006.59306.1003

    MLTMalta1114617,3509.76134.70959.76133.8286

    MHLMarshall Islands3022305.71045.4381

    MRTMauritania3573021,6907.43255.87777.43255.7104

    MUSMauritius2281099,5809.16745.42939.16744.6913

    MYTMayotte

    MEXMexico1801018,6909.06995.19309.06994.6151

    FSMMicronesia, Fed. Sts.2431885.49315.2364

    MCOMonaco

    MNGMongolia2801991,6007.37785.63487.37785.2933

    MARMorocco1741133,3908.12865.15918.12864.7274

    MOZMozambique6746128206.70936.51326.70936.4167

    MMRMyanmar3432455.83775.5013

    NAMNamibia6956616,6208.79796.54398.79796.4938

    NPLNepal3143141,3307.19295.74947.19295.7494

    NLDNetherlands956427,34010.21614.553910.21614.1589

    ANTNetherlands Antilles13266.84.88284.2017

    NCLNew Caledonia17992.45.18744.5261

    NZLNew Zealand1086918,7609.83954.68219.83954.2341

    NICNicaragua2251612,3007.74075.41617.74075.0814

    NERNiger4733087406.60676.15916.60675.7301

    NGANigeria4433937906.67206.09366.67205.9738

    MNPNorthern Mariana Islands

    NORNorway1076134,79010.45714.672810.45714.1109

    OMNOman18713512,0909.40015.23119.40014.9053

    PAKPakistan2211981,8807.53905.39827.53905.2883

    PLWPalau

    PANPanama145935,9608.69284.97678.69284.5326

    PNGPapua New Guinea3593292,3007.74075.88337.74075.7961

    PRYParaguay1731294,6208.43815.15338.43814.8598

    PERPeru1901394,6208.43815.24708.43814.9345

    PHLPhilippines2491424,1708.33575.51758.33574.9558

    PRTPortugal1646616,9309.73685.09999.73684.1897

    PRIPuerto Rico150.85715,1309.62445.01609.62444.0431

    QATQatar1731215.15334.7958

    RWARwanda6675991,1007.00316.50287.00316.3953

    WSMSamoa2421515,0908.53505.48898.53505.0173

    SMRSan Marino

    STPSao Tome and Principe2692265.59475.4205

    SAUSaudi Arabia18111612,6109.44225.19859.44224.7536

    SENSenegal3553031,4607.28625.87217.28625.7137

    SYCSeychelles2681225.59104.8040

    SLESierra Leone5875314506.10926.37506.10926.2748

    SGPSingapore1146123,78010.07664.736210.07664.1109

    SLBSolomon Islands2211541,8507.52295.39827.52295.0370

    SOMSomalia5164526.24616.1137

    ZAFSouth Africa5675029,2209.12916.34049.12916.2186

    ESPSpain1224919,7609.89144.80409.89143.8918

    LKASri Lanka2441243,4008.13155.49728.13154.8203

    KNASt. Kitts and Nevis24314810,2809.23805.49319.23804.9972

    LCASt. Lucia189.2376667117.31166675,2308.56225.24308.56224.7648

    VCTSt. Vincent and the Grenadines2461654,9908.51525.50538.51525.1059

    SDNSudan3412911,5607.35245.83197.35245.6733

    SURSuriname2301385.43814.9273

    SWZSwaziland6275874,5208.41636.44098.41636.3750

    SWESweden9156.3333333324,34010.09994.510910.09994.0313

    CHESwitzerland995830,91010.33884.595110.33884.0604

    SYRSyrian Arab Republic1701323,1908.06785.13588.06784.8828

    TZATanzania5695205106.23446.34396.23446.2538

    THAThailand2451506,2708.74355.50138.74355.0106

    TMPTimor-Leste

    TGOTogo4604061,4007.24426.13127.24426.0064

    TONTonga2261596,3408.75465.42058.75465.0689

    TTOTrinidad and Tobago2091338,2909.02285.34239.02284.8903

    TUNTunisia169995,9708.69455.12998.69454.5951

    TURTurkey2181206,3008.74835.38458.74834.7875

    UGAUganda6175671,2407.12296.42497.12296.3404

    AREUnited Arab Emirates1439325,22010.13544.962810.13544.5326

    GBRUnited Kingdom1096724,84010.12024.691310.12024.2047

    USAUnited States1478434,69010.45424.990410.45424.4308

    URYUruguay185898,7409.07575.22049.07574.4886

    VUTVanuatu2401852,9407.98625.48067.98625.2204

    VENVenezuela, RB178995,5808.62695.18188.62694.5951

    VNMVietnam2031391,9907.59595.31327.59594.9345

    VIRVirgin Islands (U.S.)103.6754.64054.3175

    WBGWest Bank and Gaza160.41035.07774.6347

    YEMYemen, Rep.2782267606.63335.62766.63335.4205

    ZMBZambia7256877406.60676.58626.60676.5323

    ZWEZimbabwe6506122,5007.82406.47707.82406.4167

    &A

    Page &P

    WDI adult mortality

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    000

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    00

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    0

    GNI per capita PPP 2000 (in log)

    Male adult mortality 2000 (in log)

    UZB

    UKR

    TKM

    TJK

    SVN

    SVK

    RUSSIA

    ROM

    POL

    MDA

    MKD

    LTU

    LVA

    KGZ

    KAZ

    HUN

    GEO

    EST

    CZE

    HRV

    BGR

    BLR

    AZE

    ARM

    ALB

  • Is Economic Growth Sustainable in Russia without Good Health in Russia?Source: World Bank World Development Indicators 2005/WHO/ERO HFA Database 2005.Note: When calculating GNI in U.S. dollars from GNI reported in national currencies, the World Bank follows the Atlasconversion method, using a three-year average of exchange rates to smooth the effects of transitory exchange ratefluctuations.

  • The Russian Population Structure:2005 and 2020 Source: UN Population Projections, 2004 Revisions

    Chart1

    -5.3779463564.513527404

    -5.21538878354.393605946

    -5.9453926975.0063914184

    -9.06408982817.7896234993

    -8.92109937087.847607501

    -7.98639332917.1755202087

    -7.61762846566.7511827419

    -6.95987236226.1199478144

    -8.11884764747.5128816731

    -8.77810891368.4406257001

    -7.58903037427.6314853129

    -5.81895902956.2266910902

    -2.68671543393.2471040945

    -4.75480899496.5192467351

    -2.44137391253.8651608397

    -2.72735482716.9567623842

    Percentage

    Russia 2005

    Sheet6

    Dependency Ratios

    1995200020052010201520202025

    Total50444037394449

    Child32262018192020

    Elderly18182018202429

    Population 60+ and

  • Deaths and DALYs Lost Attributable to the 10 Leading Diseases and Injuries in Russia, 2002 Source: WHO/EURO Health Database

  • Cause-Specific Adult Mortality Rates, Age 1564Deaths per 100,000 populationSource: WHO Mortality Database

  • Deaths and DALYs Lost Attributable to 10 Leading Risk Factors in Russia, 2002 Source: WHO/EURO Health Database.

    RankRisk factorTotal Deaths %RankRisk factorTotal DALYs %1High blood pressure35.51Alcohol16.52High cholesterol23.02High blood pressure16.33Tobacco17.13Tobacco13.44Low fruit and vegetable intake12.94High cholesterol12.35High BMI12.55High BMI8.56Alcohol11.96Low fruit and vegetable intake7.07Physical inactivity9.07Physical inactivity4.68Urban outdoor air pollution1.28Illicit drugs2.29Lead1.29Lead1.110Illicit drugs0.910Unsafe sex1.0

  • Non-Communicable Diseases and Injuries Are the Leading Causes of Death and Ill Health in RussiaCardiovascular Disease: CVD death rate in Russia (2002) = 994 per 100,000 population (United States = 317, Portugal = 363, Brazil = 225)Traffic Injuries: Mortality due to traffic injuries in Russia = 20.6 deaths per 100,000 population (G-8 rate = 11) Suicide: Russias suicide rate is much higher than that of EU countries (when it peaked in 1994, suicide rate for Russian men aged 5054 was over six times that in the United States) Alcohol Abuse: Adult per capita alcohol consumption in 1999 was 10.7 liters per adult in Russia versus 8.6 liters in the United States and 9.7 liters in the United Kingdom Violence: In 1999, close to 30,000 persons died from homicide in Russia. Alcoholism is closely related to crime; the proportion of crimes committed by men and women while intoxicated in 2002 was about 30 percent and 12 percent, respectively.

  • The Preventable Risk Factors for NCDs and InjuriesTobacco Consumption: Russia has one of the worlds highest rates of smoking among men. While smoking prevalence among men decreased slightly to 61 percent in 2004, the prevalence of smoking among women increased from 7.3 percent in 1992 to 15 percent in 2004. Drug Use: At the beginning of 2005, drugs users were estimated to number 500,000. High Cholesterol: About 60 percent of Russian adults have higher than recommended cholesterol levels, and about 20 percent are at high risk and in need of medical attention.Psychosocial Stress: Stress resulting from the economic transition and reduction in the social safety net manifests as depression and anxiety and can lead to incapacity, suicide, and other violence-related injuries.Low Socioeconomic Status: People of lower socioeconomic status have higher mortality and are more likely to report bad health than people of higher status.

  • Consequences of the Demographic Decline and The Health DeficitImpact on labor: Fewer workers; high absenteeism due to ill health; and job lossesDestabilization of families: The death of a household member affects other household members welfare and behavior, including alcohol abuseGrowing regional disparities: Disparities in life expectancy in different regions and among social and ethnic groups could exacerbate existing differences and may give rise to social and political challenges, especially in a country as vast as RussiaChronic illness has negatively affected household incomes, particularly during 19982002, when it is estimated that chronic illness contributed to an annual loss of 5.6 percent of per capita incomeHigh medical treatment costs on the economy

  • Impact Of NCDs and Injuries on Health Care Costs and the Economy Source: Frid 2005.

  • Distribution of Risk Factors in a PopulationSource: Rose 1992, as shown in North Karelia Project Presentation, National Public Health Institute, 2005

  • Strategies and Interventions to Prevent Non-communicable Diseases and Injuries Policies, Strategies, and Capacity-building at the Federal Level:Develop legal, policy, and strategy support for priority population-based subprogramsBuild institutional capacity to implement priority subprogramsAssure federal oversight and accountability

    Priority Subprograms in the Regions:Population-based Primary Prevention Interventions: Alcohol, Tobacco, Changes in Diet, and Promotion of Physical ActivitySecondary Prevention: Hypertension, Cholesterol, Diabetes ControlRegional support subprograms for implementing the national mortality reduction programImproved road safety and emergency medical services

  • What Health Improvements Could Result from an Intensified Program of Action?Estimated Improvements in Life Expectancy if Mortality Rates Are Reduced by 20 and 40 Percent, Russian Males, 2000

    Source: Authors calculations

  • What Health Improvements Could Result from an Intensified Program of Action?Estimated Improvements in Life Expectancy if Mortality Rates Are Reduced by 20 and 40 Percent, Russian Females, 2000

    Source: Authors calculations

  • Main FindingsThe static economic benefits of gradually bringing the adult NCD- and injury-mortality rates down to the European Union (EU-15) rates by 2025 are estimated at 3.6 to 7.1 percent of the 2002 Russian GDP When a broader concept than GDP per capita is considered, the welfare benefits from achieving EU-15 rates by 2025 are estimated to be as high as 29 percent of the 2002 Russian GDP The impact of improving adult health on economic growth rates is significant and grows over time: while in 2005 the difference in the per capita GDP between the status quo scenario and the most optimistic scenario is US$105$324, by 2025 this difference grows to US$2,856$9,243

  • What Are the Potential Economic Benefits of Mortality Reduction in Russia? Russian GDP per Capita Forecasts in the Three Scenarios1996 constant U.S. dollarsSource: Suhrcke at al. 2005

  • ConclusionsRussia is experiencing a major and complex demographic and health crisis characterized by premature mortality; ill health and disability among young adults; and a reduction in population size, coupled with the aging of its population. Poor adult health negatively affects economic well-being at the individual and household level; if effective action were taken in Russia, improved health would play an important role in economic growthMost non-communicable diseases and injuries could be prevented and controlled through a comprehensive national program operating at the federal, regional, and municipal levels, adapting best practices that have proven effective internationally The time has come to acknowledge the breadth of social and economic factors that affect health, including the responsibility of individuals for their own health and government responsibility for creating an enabling environment for its population to make healthier choices