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WHO long-term strategy for prevention and controlof leading chronic diseasesDerek Yach Representative of the Director-General World Health Organization
Scope and approachExclude mental health (except in relation to co-morbidity) and injuries
Include mainly 4 big killers-CVD, cancer, chronic respiratory disease and diabetes, and 3 major risks-tobacco, diet and physical activity
Current health impact...
Leading causes of mortalityfor adults, 2002 5823469223991398929754735606496478HIV/AIDS Ischaemic heart diseaseTuberculosisRoad traffic accidentsCerebrovascular diseaseSelf-inflicted injuriesViolenceCirrhosis of the liverLower respiratory infectionsChronic obstruc. pulmonary diseaseIschaemic heart diseaseCerebrovascular diseaseChronic obstruc. pulmonary diseaseLower respiratory infectionsTrachea, bronchus, lung cancersDiabetes mellitusHypertensive heart diseaseStomach cancerTuberculosisColon and rectal cancers1559 60 and overSource: WHO, WHR, 2003
Deaths due to Tuberculosis, Malaria and CVD in WHO Regions in 2002thousandsSource: WHR 2003
Cancers, age-specific death rates in China (urban & rural combined),1986 & 1999Source: Bumgarner, 2003
Chart4
90.764582559246.6650884633
269.4619253655133.420539572
542.5135927229373.3251611328
1241.7980548952736.6554695715
1999
1986
rate per 100,000
bumgarner cahrt for lts
bumgarner cahrt for lts
90.764582559246.6650884633
269.4619253655133.420539572
542.5135927229373.3251611328
1241.7980548952736.6554695715
1999
1986
rate per 100,000
chart 3 original
chart 3 original
90.764582559246.6650884633
269.4619253655133.420539572
542.5135927229373.3251611328
1241.7980548952736.6554695715
1999
1986
rate per 100,000
Cancers, age-specific death rates (urban & rural combined) 1986 & 1999
Sheet2
Sheet3
Deaths in South Africa, 2000: men
Risk factors are accumulating throughout the life course
A Life Course Approach to NCD PreventionDevelopment of NCD
Attributable Mortality (20 leading risk factors)
Trends in mean total cholesterol; Beijing China, 25-64Source: Subnational, Beijing, MONICAMean total cholesterol mmol/l
% of students aged 13-15who smoke cigarettesSource: Global Youth Tobacco SurveyOverall / Median AfricaBurkina FasoThe AmericasBoys currently smoke cigarettes15.0 10.428.616.6Girls currently smoke cigarettes6.64.69.612.2Boys/Girls ratio1.9:1.0 2.2:1.03.0:1.01.2:1.0South Africa21.010.62.0:1.0Columbia United StatesEastern MediterraneanEurope31.0 17.722.833.933.417.85.329.00.9:1.0 1.0:1.04.3:1.01.2:1.0Jordan22.09.92.2:1.0Bulgaria Czech RepublicSoutheast AsiaWestern Pacific26.0 34.013.519.039.435.13.23.20.7:1.0 1.0:1.04.2:1.05.9:1.0Indonesia38.94.78.3:1.0Myanmar11.06.41.7:1.0Palau20.023.30.9:1.0
Trends of overweight in childrenSource: de Onis and Blssner. Am. J. Clin. Nutr. 2000; 72: 1032-9Trends of overweight in children
World Health Organization
Trends of overweight in children
Mexico
Tunisia
Nigeria
India
Mali
Source: de Onis and Blssner. Am J Clin Nutr 2000;72:1032-9.
Chart3
0.71987198719871987
0.766666619883.719883.5
0.833333219893.845454545519893.6
0.899999819903.99090909091.53.7
0.966666419914.13636363642.13.8
1.0333331.64.28181818182.73.9
1.09999961.954.42727272733.34
1.16666622.34.572727272719944.1
1.23333282.654.718181818219954.2
1.334.863636363619964.3
199719975.009090909119974.5
199819985.319981998
Mali
India
Mexico
Nigeria
Tunisia
% >+2 SD
newOw_trends
Taken off markers as this looked like there are data points wheras this is a simple trend line
YearMaliIndiaMexicoNigeriaTunisia
19870.7Mali0.0666666
19880.83.73.5India0.35
19890.83.83.6Mexico0.1454545455
19900.94.01.53.7Nigeria0.6
19911.04.12.13.8Tunisia0.1
19921.01.64.32.73.9
19931.12.04.43.34.0
19941.22.34.64.1
19951.22.74.74.2
19961.33.04.94.3
19975.04.5
19985.3
newOw_trends
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
Mali
India
Mexico
Nigeria
Tunisia
%+2 SD
YearMaliIndiaMexicoNigeriaTunisia
19870.73.7Mali0.0666666
19880.83.83.5India0.35
19890.84.03.6Mexico0.1454545455
19900.94.11.53.7Nigeria0.6
19911.04.32.13.8Tunisia0.1
19921.01.64.42.73.9
19931.12.04.63.34.0
19941.22.34.74.1
19951.22.74.94.2
19961.33.05.04.3
19975.24.4
19985.34.5
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
Mali
India
Mexico
Nigeria
Tunisia
%
Future burden of chronic diseases will reflect accumulation of risk
Global Chronic Disease Burden1990-202019902020 (baseline scenario)(by disease group in developing countries)
Prevalence of diabetes mellitus in adults (>20 years) in 2000 and projections for 2030%
and impact on the long-term emergence of health inequalitiesSmoking prevalence among men in Chennai (India) by education levels
Chart4
64
58
42
21
Smoking prevalence %
Education
Smoking prevalence (%)
Sheet1
Education levelSmoking prevalence %
illiterate64
< 6 years58
6-12 years42
> 12 years21
Sheet1
0
0
0
0
Smoking prevalence %
Education
Smoking prevalence (%)
Sheet2
Sheet3
Economic Impact
Costs to the economy: TobaccoTobacco has many negative economic impacts: Health care costs
Fires: Annual cost of fires caused by smoking is US$27 billionAbsenteeism: In the US, smokers take of an average of 6.16 sick days per year compared with 3.86 of people who have never smoked; in 1994, it costs Telecom Australia $16.5 million in costs of loss of time off workCumulative costs on the workplace: In the USA, workplace smoking costs $47 billion every year.Trash collection: 20% of all trash collected in the US is cigarette buttsSource: Mackay and Eriksen, 2002
Country
Health care costs attributable to tobacco, latest available estimates, US$
Australia
$6 billion
Canada
$1.6 billion
China
$3.5 billion
Germany
$14.7 billion
New Zealand
$84 million
Philippines
$600 million
South Africa
$1 billion
UK
$2.25 billion
USA
$76 billion
Economic costs of diet-related chronic diseases in China & India
"The following report on cardiovascular disease estimates that 6 million years of potentially productive life are lost in China each year because of heart disease and stroke. Thus, countries experience the economic impact of these cardiovascular disorders far beyond the health portfolio, including in industry and commerce, in households and in communities."
Jeffrey SachsA Race Against Time: The Challenge Of Cardiovascular Disease In Developing Economies The Earth Institute and Mailman School of Public Health, Columbia University, New York (2004)Chronic diseases impact national economies and pose risks for private foreign investors
Economic growth is an underlying determinant of chronic diseases
Unhealthy consumption - development and policy optionsHighPrevalence ofunhealthy consumptionSocio-economic DevelopmentDesired pathHighLowObserved pattern
Overweight-plus-obesity Prevalence in Women 20-49 by Gross National Income
Risk factors are being transmitted by globalisation...
TradeTrade of cigarettes out of and into the United States
Foreign Direct Investment (FDI)SectorFood/Beverage Retail (Food & Drink)AlcoholTobaccoCorporationHutchinson Whampoa LimitedNestle SAUnileverDiageoProctor & GambleCoca-Cola CompanyMcDonaldsDanone Group SA
Carrefour SAWal-Mart StoresRoyal Ahold NVDiageoPhillip MorrisBATHome economyHong KongSwitzerlandUK/NetherlandsUKUSAUSAUSAFranceFranceUSANetherlandsUKUSAUKForeign Assets (rank) US$ billion40.9 (17)33.1 (21)30.5 (25)19.7 (47)17.3 (58)17.1 (59)12.8 (79)11.4 (86)
29.3 (29)26.3 (24)19.9 (44)19.7 (47)19.3 (49)10.4 (92)Foreign employment53 478223,000204,00060 00043 38126 000251,00088,000235 894303 000183 851
60 00039,00059 000Foreign assets, sales and employment of tobacco, alcohol, food, retail companies in the worlds largest 100 TNCs, 2001, ranked by foreign assets (US$ billion) Source: UNCTAD, 200311 automobile and 10 pharmaceutical companies are also amongst the top 100 TNCs
Marketing
UrbanisationEstimated projected urban and rural populations in the world, 1950-2030
Urbanisation, lifestyles and chronic diseases Tobacco useObesityPhysical activityRisk factors and trends
Unhealthy consumption patterns threaten sustainable developmentUnhealthy consumptionLack of physical activityHigh-fat dietsTobacco useSome associated impact on sustainable developmentMore motorised transport;increased vehicular pollution;destroyed landscapes and citiesGrain for animals not humans;animal husbandry erodes fragile farmlandDeforestation,pesticide residues
Interventions exist and are cost effective but
Many impediments to progress...
Pervasive mythsGlobal economic development will improve all health conditionsChronic diseases result from freely adopted risksChronic diseases are diseases of the elderlyChronic diseases are diseases of affluenceBenefits of chronic disease control accrue only to the individualInfectious disease models are applicable to chronic diseasesWe can wait till infectious diseases are controlled
Screening and treating patients in the health sector is a cost effective prevention strategy
Weak capacityPercentage of countries with specific capacity indicators for NCD prevention and control
Chart1
13218131315
374030274150
595653505056
595150435462
443850755678
585240686464
NCD policy
NCD plan
CVD plan
Tobacco control plan
Diabetes control plan
Cancer control plan
WHO Region
Percent of countries with policies/plans
Chart2
43
41
35
39
43
48
All
National policies and plans
Percentage of countries with policies/plans
Chart3
2833394348506269
Information about NCDs in the national annual health reporting system
NCD prevention and control initiatives not integrated into the primary health care systems.
Special budget line for NCDs
NCD policy
No surveillance systems for major NCDs.
National survey on hypertension prevalece
Dedicated unit for NCD prevention and control,
National diabetes prevention guidelines
Indicator of NCD prevention and control capacity
Percentage of countries reporting
Chart4
28
33
39
43
48
50
62
69
Percentage of countries
Sheet1
Percentage of countries reporting the existence of national policies and plans for NCD prevention and control
AFRAMREMREURSEARWPRAll
NCD policy13375959445843
NCD plan21405651385241
CVD plan8305350504035
Tobacco control plan13275043756839
Diabetes control plan13415054566443
Cancer control plan15505662786448
Sum83225324319341346
Source: Alwan, table 2 page 22
All
NCD policy43
NCD plan41
CVD plan35
Tobacco control plan39
Diabetes control plan43
Cancer control plan48
Percentage of countries
Information about NCDs in the national annual health reporting system28
NCD prevention and control initiatives not integrated into the primary health care systems.33
Special budget line for NCDs39
NCD policy43
No surveillance systems for major NCDs.48
National survey on hypertension prevalence50
Dedicated unit for NCD prevention and control62
National diabetes prevention guidelines69
Sheet2
Sheet3
Powerful interests block progress
attack WHO... discredit key individualscontain, neutralize, reorient WHOWHO...the leading enemytobacco company activities revealed in WHO inquiry
World Bank and Regional Development BanksNo comprehensive policy on chronic disease(though currently developing a policy note)WB Health, Nutrition and Population strategy paper recognises impact of chronic disease on poor populations (eight of the existing 31 PRSPs include chronic diseases or risk factors in their action/expenditure plans or monitoring/evaluation indicators)RDBs have health sector strategies(but concentrate on communicable diseases)
International DonorsIncreased health support by donors mostly directed towards HIV/AIDS, not chronic diseases
Current status of key playersHeads of StateG8 - Health is the key to prosperity;" "poor health drives poverty. Mobilization of resources for Global Fund in 2001. No commitment to chronic diseases.G77 - no focus on chronic diseases but recent support for the FCTC. Critical of the draft Global Strategy on Diet, Health and Physical ActivityHealth MinistriesInadequate capacity and budget for chronic diseases in most countriesWHO
NCD resolutions and global strategies agendas since 1956NCD cluster established at HQ in 1998 and capacity later developed at regions, but commitment not followed by funding
Budgetary allocation and expenditure within WHO HQ to leading chronic and communicable diseases relative to DALYs attributed to leading chronic and communicable diseases, for the biennium 1/1/00 - 31/12/01ONLY US$ 0.25 ALLOCATED TO LEADING CHRONIC DISEASES PER DEATH WITHIN WHO OPERATING BUDGET COMPARED WITH $14 FOR LEADING COMMUNICABLE DISEASES
Policy of theAfrican Development Bank GroupThe Bank does not currently have any specific policy or guidelines to address non-communicable diseases.
Source: Philibert Afrika, Director Operations Policies and Review, ADBG, personal communication, February 2003
Current status of key playersGlobal NGO'sNGO's focused support for chronic diseases not mobilised, although the Framework Convention Alliance supporting FCTC was effectiveHealth and development initiativesMDGs exclude chronic diseasesUNFPA does not include chronic diseases or risk factors in strategy on population and developmentUNICEF's goal setting program, "A World Fit for Children," excludes reference to risk factors for chronic diseases amongst children.World Summit of Sustainable Development does refer to chronic diseasesBusiness & investment communityInvestment analysts warn that chronic disease risk factors are risky investmentsSuperficial CSR initiativesSome new business markets emerging(Continued)
Current status of key players(Continued)MediaChronic diseases not perceived or reported as global health problems by broadcast or print news sources while acute infections are sensationalizedResearch journalsPre-eminent medical journals do not publish content that accurately reflects global burden of disease
New data on research output 1990-3 versus 2000-3
Chart1
2921213
412262215
00000
01001
12885
00000
361266
612313514
00000
1714920
210281435
00000
518143033
3561935357
00000
11545288105
44170233149258
00000
30178180283229
40488672445763
00000
2114183305180
43359358357310
00000
55365336654471
282650634837854
Tobacco
CVD
Obesity
Cancer
Diabetes
Countries
Sheet1
TobaccoCVDObesityCancerDiab
RegionP 1990-1993% TPP 2000 -2003% TPP 1990-1993% TPP 2000 -2003% TPP 1990-1993% TPP 2000 -2003% TPP 1990-1993% TPP 2000 -2003% TPP 1990-1993% TPP 2000 -2003% TPP 1990-1993% TPP 2000 -2003% TP
Africa22.8241.0891.41120.8820.34261.56121.06221.56131.5150.84
Americas66.06256.78274.231098.03416.961398.34907.961309.21546.241508.41
Asia1111.114411.92548.4517012.53528.8323313.99887.7914910.5510512.1325814.47
Australasia55.05359.49182.82614.5142.38935.58302.65533.75333.81573.2
China33.361.6360.94120.8810.17311.86262.3352.4860.69140.79
Europe3030.34010.8417827.8648835.9618030.5667240.3328325.0444531.5222926.4476342.79
India11.0120.5471.1100.74142.38281.6890.8140.99202.31351.96
South Africa0010.2710.1620.150080.480080.5710.1250.28
United Kingdom2121.214311.6514122.0735926.468314.0935821.4930526.9935725.2818020.7931017.39
USA5555.5628276.4236557.1265047.933657.0563438.0665457.8883759.2847154.3985447.9
Total papers99369
Obesity
RegionP 1990-1993% TPP 2000 -2003% TP
Africa20.34261.56
Americas416.961398.34
Asia528.8323313.99
Australasia142.38935.58
China10.17311.86
Europe18030.5667240.33
India142.38281.68
South Africa0080.48
United Kingdom8314.0935821.49
USA33657.0563438.06
Total papers5891666
Cancer
RegionP 1990-1993% TPP 2000 -2003% TP
Africa121.06221.56
Americas907.961309.21
Asia887.7914910.55
Australasia302.65533.75
China262.3352.48
Europe28325.0444531.52
India90.8140.99
South Africa0080.57
United Kingdom30526.9935725.28
USA65457.8883759.28
Total papers11301412
Diabetes
RegionP 1990-1993% TPP 2000 -2003% TP
Africa131.5150.84
Americas546.241508.41
Asia10512.1325814.47
Australasia333.81573.2
China60.69140.79
Europe22926.4476342.79
India202.31351.96
South Africa10.1250.28
United Kingdom18020.7931017.39
USA47154.3985447.9
Total papers8661783
CVD
RegionP 1990-1993% TPP 2000 -2003% TP
Africa91.41120.88
Americas274.231098.03
Asia548.4517012.53
Australasia182.82614.5
China60.94120.88
Europe17827.8648835.96
India71.1100.74
South Africa10.1620.15
United Kingdom14122.0735926.46
USA36557.1265047.9
Total papers6391357
test graphs
Tobacco 90-93Tobacco 00-03CVD 90-93CVD 00-03Obesity 90-93Obesity 00-03Cancer 90-93Cancer 00-03Diab 90-93Diab 00-03Tobacco 90-93Tobacco 00-03CVD 90-93CVD 00-03Obesity 90-93Obesity 00-03Cancer 90-93Cancer 00-03Diab 90-93Diab 00-03
RegionRegion
Africa240912022612221315Africa2.821.0801.410.880.341.561.061.561.50.84
Americas6250271090411399013054150Americas6.066.7804.238.036.968.347.969.216.248.41
Asia114405417005223388149105258Asia11.1111.9208.4512.538.8313.997.7910.5512.1314.47
Australasia535018610149330533357Australasia5.059.4902.824.52.385.582.653.753.813.2
China36061201312635614China3.31.6300.940.880.171.862.32.480.690.79
Europe304001784880180672283445229763Europe30.310.84027.8635.9630.5640.3325.0431.5226.4442.79
India120710014289142035India1.010.5401.10.742.381.680.80.992.311.96
South Africa010120080815South Africa00.2700.160.1500.4800.570.120.28
United Kingdom21430141359083358305357180310United Kingdom21.2111.65022.0726.4614.0921.4926.9925.2820.7917.39
USA5528203656500336634654837471854USA55.5676.42057.1247.957.0538.0657.8859.2854.3947.9
test graphs
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
Africa
Americas
Asia
Australasia
China
Europe
India
South Africa
United Kingdom
USA
final charts
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
0000000000
USA
United Kingdom
South Africa
India
Europe
China
Australasia
Asia
Africa
Sheet3
Sheet3
2921213
412262215
00000
01001
12885
00000
361266
612313514
00000
1714920
210281435
00000
518143033
3561935357
00000
11545288105
44170233149258
00000
30178180283229
40488672445763
00000
2114183305180
43359358357310
00000
55365336654471
282650634837854
Tobacco
CVD
Obesity
Cancer
Diabetes
Countries
2.821.410.341.061.5
1.080.881.561.560.84
00000
00.16000.12
0.270.150.480.570.28
00000
3.30.940.172.30.69
1.630.881.862.480.79
00000
1.011.12.380.82.31
0.540.741.680.991.96
00000
5.052.822.382.653.81
9.494.55.583.753.2
00000
11.118.458.837.7912.13
11.9212.5313.9910.5514.47
00000
30.327.8630.5625.0426.44
10.8435.9640.3331.5242.79
00000
21.2122.0714.0926.9920.79
11.6526.4621.4925.2817.39
00000
55.5657.1257.0557.8854.39
76.4247.938.0659.2847.9
Tobacco
CVD
Obesity
Cancer
Diabetes
Regions
Percent
55.5621.2130.311.115.051.013.302.82
76.4211.6510.8411.929.490.541.630.271.08
000000000
57.1222.0727.868.452.821.10.940.161.41
47.926.4635.9612.534.50.740.880.150.88
000000000
57.0514.0930.568.832.382.380.1700.34
38.0621.4940.3313.995.581.681.860.481.56
000000000
57.8826.9925.047.792.650.82.301.06
59.2825.2831.5210.553.750.992.480.571.56
000000000
54.3920.7926.4412.133.812.310.690.121.5
47.917.3942.7914.473.21.960.790.280.84
000000000
USA
United Kingdom
Europe
Asia
Australasia
India
China
South Africa
Africa
Chronic disease
Percent
2921213
412262215
00000
518143033
3561935357
00000
11545288105
44170233149258
00000
30178180283229
40488672445763
00000
2114183305180
43359358357310
00000
55365336654471
282650634837854
Tobacco
CVD
Obesity
Cancer
Diabetes
Countries
TobaccoCVDObesityCancerDiabetes
Region
Africa (1990-93)2921213
Africa (2000-03)412262215
00000
South Africa (1990-93)01001
South Africa (2000-03)12885
00000
China (1990-93)361266
China (2000-03)612313514
00000
India (1990-93)1714920
India (2000-03)210281435
00000
Australasia (1990-93)518143033
Australasia (2000-03)3561935357
00000
Asia (1990-93)11545288105
Asia (2000-03)44170233149258
00000
Europe (1990-93)30178180283229
Europe (2000-03)40488672445763
00000
United Kingdom (1990-93)2114183305180
United Kingdom (2000-03)43359358357310
00000
USA (1990-93)55365336654471
USA (2000-03)282650634837854
Tobacco 90-93Tobacco 00-03CVD 90-93CVD 00-03Obesity 90-93Obesity 00-03Cancer 90-93Cancer 00-03Diab 90-93Diab 00-03
Region
Africa
Americas6.066.784.238.036.968.347.969.216.248.41
Europe30.310.8427.8635.9630.5640.3325.0431.5226.4442.79
United Kingdom21.2111.6522.0726.4614.0921.4926.9925.2820.7917.39
USA55.5676.4257.1247.957.0538.0657.8859.2854.3947.9
TobaccoCVDObesityCancerDiabetesTobacco 1990-93CVD 1990-93Obesity 1990-93Cancer 1990-93Diabetes 1990-93
RegionTobacco 2000-03CVD 2000-03Obesity 2000-03Cancer 2000-03Diabetes 2000-03
Africa (1990-93)2.821.410.341.061.5
Africa (2000-03)1.080.881.561.560.84Africa
00000South Africa
South Africa (1990-93)00.16000.12China
South Africa (2000-03)0.270.150.480.570.28India
00000Australasia
China (1990-93)3.30.940.172.30.69Asia
China (2000-03)1.630.881.862.480.79Europe
00000United Kingdom
India (1990-93)1.011.12.380.82.31USA
India (2000-03)0.540.741.680.991.96
00000
Australasia (1990-93)5.052.822.382.653.81
Australasia (2000-03)9.494.55.583.753.2
00000
Asia (1990-93)11.118.458.837.7912.13
Asia (2000-03)11.9212.5313.9910.5514.47
00000
Europe (1990-93)30.327.8630.5625.0426.44
Europe (2000-03)10.8435.9640.3331.5242.79
00000
United Kingdom (1990-93)21.2122.0714.0926.9920.79
United Kingdom (2000-03)11.6526.4621.4925.2817.39
00000
USA (1990-93)55.5657.1257.0557.8854.39
USA (2000-03)76.4247.938.0659.2847.9
2921213
412262215
00000
01001
12885
00000
361266
612313514
00000
1714920
210281435
00000
518143033
3561935357
00000
11545288105
44170233149258
00000
30178180283229
40488672445763
00000
2114183305180
43359358357310
00000
55365336654471
282650634837854
Tobacco
CVD
Obesity
Cancer
Diabetes
Countries
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
00000
Tobacco
CVD
Obesity
Cancer
Diabetes
Regions
Percent
What's new about the rationale for action?New epidemiological data: China as a pressing exampleFocus on upstream macroeconomic determinants: chronic diseases spread by globalization (FDI focus), concentrated by urbanizationSynthesis of economic impacts: past studies and support of new initiativesLinks made with sustainable developmentAssessment of WHO resolutions and fundingReview of stakeholder response to chronic diseasesNew financial data on funding of chronic diseasesNew data on research output on chronic diseases
but none of this has to be inevitable
Towards a new strategy for chronic diseases of lifestyleVisionTargets and objectivesBetter quality and years of healthy lifeReduce disparitiesTargets achievable at a stretch for prevalence by age, sex, classCosted and budgeted
New terminologyNCDs-cant catch it, cant communicate itChronic-lifelong, slow onset, seriousLifestyle-chosen risks and behaviour
Summary of changes for WHOFromSporadic advocacy Do it all aloneToHigh level advocacyWork through and with partnersSole impact on governmentsFull range-from schools to neglect of higher order leversInfluence markets, governments & NGOsUpstream health promotionAll diseases separatelyChronic care systems and effective secondary preventionRowingSteering, leading
New roles for key playersGovernmentsNGOs, consumer groups Investment/PensionsCoherent chronic disease programmes & policies across all key sectorsadvocacy: leadership, long-term viewRules and incentives for healthier investmentGlobal networks of influence (Globalink for chronic diseases)Local services: health promotion and careAnalysis of major trends and need for corporate changeDevelop incentives for market changesIndustryDonorsNew models beyond treatment must prioritize healthChanges in products , marketing and researchFinancial support that matches burden and preventive potentialUN and related familyPlacing chronic diseases on development agendaScreen for chronic disease impacts access sectors
Proposed WHO actionsEffective communication and advocacy Global governance for chronic disease controlSupport innovative "up-stream" strategies for prevention-and implement the FCTC and the Global Strategy on diet, physical activity and healthEnhance financial, human, institutional resource capacity Strengthen health systems for chronic disease controlStrengthen the evidence base, evaluate impactUse scenarios to develop targets
Overall, HIV/AIDS is the leading cause of death in adults aged 1559. Ischaemic heart disease is the leading cause of death at older agesNote that 30% of deaths in developing countries occur in young adults this vast premature adult mortality is a major public health concernFigure 53:A different pattern is apparent for the urban population of Beijing, China. Mean total cholesterol has been increasing in both men and women since 1983. This cholesterol pattern predicts the increase in heart disease and stroke now being reported from Beijing.