monica monograph and multimedia sourcebook: slide presentations from the cd-rom slides without...
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MONICA Monograph and Multimedia Sourcebook:
Slide Presentations from the CD-ROM
Slides without spoken commentary:
Six presentations combined in one file
Prepared by Hanna Tolonen and Hugh Tunstall-Pedoe
MONICA Monograph Slide Presentations
Graphics A: Populations, Data Collection and Official Mortality
Prepared by Hanna Tolonen and Hugh Tunstall-Pedoe
CHN-BEI
NEZ-AUCAUS-NEW
RUS-NOV
USA-STACAN-HAL
AUS-PER
G1
ITA-FRI
FIN-TUL
SWE-GOT
DEN-GLO
ICE-ICE
UNK-GLA
BEL-CHA
FRA-STR
SWI-VAF
FRA-TOU
SPA-CAT
ITA-BRI
LTU-KAU
POL-TARCZE-CZE
FIN-NKA
YUG-NOS
GER-EGE
SWE-NSW
FRA-LIL
BEL-GHE
SWI-TIC
GER-AUG
RUS-MOS
GER-BRE
UNK-BEL
POL-WAR
FIN-KUO
G2
POL-WARLTU-KAU
RUS-NOCUNK-GLAFIN-NKARUS-NOI
RUS-MOCCZE-CZE
YUG-NOSRUS-MOIBEL-CHA
FRA-LILPOL-TARFIN-KUOUNK-BELFIN-TUL
FRA-STRGER-EGE
ITA-FRIGER-BREBEL-GHEUSA-STADEN-GLOGER-AUGSWE-GOTNEZ-AUC
ITA-BRIAUS-NEWCAN-HALSWI-VAFICE-ICE
SWE-NSSWI-TIC
AUS-PERFRA-TOUSPA-CATCHN-BEI
0 500 1000 1500 2000
Annual mortality rate per 100 000
CHD
Stroke
Other CVD
Non CVD
Men
UNK-GLAPOL-WARLTU-KAUUSA-STADEN-GLOBEL-CHA
RUS-NOCYUG-NOSCZE-CZEUNK-BEL
RUS-MOCBEL-GHEGER-EGERUS-NOIRUS-MOINEZ-AUCPOL-TAR
FRA-LILAUS-NEW
CHN-BEICAN-HALGER-BRE
FIN-NKASWE-GOT
FIN-KUOITA-FRI
GER-AUGFIN-TUL
FRA-STRICE-ICE
AUS-PERITA-BRI
SWE-NSFRA-TOUSPA-CAT
0 250 500 750 1000
Annual mortality rate per 100 000
Women
G3
RUS-NOILTU-KAU
RUS-MOCRUS-MOI
POL-WARUNK-GLAPOL-TAR
YUG-NOSCZE-CZE
FRA-LILFIN-NKA
BEL-CHAFIN-KUOFIN-TUL
RUS-NOCGER-EGEGER-BREDEN-GLOFRA-STRUNK-BELUSA-STABEL-GHE
ITA-FRIGER-AUGNEZ-AUC
SWE-GOTSWI-VAFCAN-HAL
ITA-BRIAUS-NEWSPA-CATFRA-TOU
SWI-TICSWE-NS
AUS-PERICE-ICE
CHN-BEI
0 500 1000 1500 2000
Annual mortality rate per 100 000
Men
RUS-NOIUNK-GLAPOL-WARRUS-MOILTU-KAU
YUG-NOSDEN-GLOCZE-CZENEZ-AUCUSA-STAUNK-BELRUS-MO
GER-EGEBEL-CHAPOL-TARGER-BRE
FRA-LILBEL-GHE
FIN-TULCAN-HAL
SWE-GOTFIN-NKAFIN-KUOCHN-BEIICE-ICE
AUS-NEWRUS-NOCGER-AUGFRA-STR
ITA-FRISWE-NSITA-BRI
AUS-PERFRA-TOUSPA-CAT
0 250 500 750 1000
Annual mortality rate per 100 000
CHD
Stroke
Other CVD
Non CVD
Women
G4
FIN-NKAFIN-KUOICE-ICE
SWE-NSUNK-BELRUS-MOIRUS-NOIRUS-MO
NEZ-AUCFIN-TUL
CAN-HALAUS-NE
CZE-CZERUS-NO
UNK-GLAYUG-NO
POL-TARDEN-GL
USA-STAAUS-PERCHN-BEILTU-KAUGER-EGE
GER-AUSWI-TIC
SWE-GOGER-BRE
POL-WAITA-FRI
BEL-CHAITA-BRI
SWI-VAFBEL-GHESPA-CATFRA-STRFRA-TOU
FRA-LIL
0 20 40 60 80 100
Percentage of deaths
CHD Stroke Other CVD Non CVD
Men
RUS-NOIRUS-NOCHN-BEIPOL-TARFIN-KUORUS-MORUS-MOIFIN-NKA
YUG-NOSAUS-NE
CZE-CZEUNK-BELUNK-GLA
FIN-TULPOL-WA
USA-STANEZ-AUCLTU-KAUBEL-CHAGER-EGE
ITA-FRISWE-NS
CAN-HALITA-BRI
AUS-PERGER-AUGBEL-GHE
ICE-ICESWE-GO
GER-BREFRA-STRSPA-CATDEN-GLO
FRA-LILFRA-TOU
0 20 40 60 80 100
Percentage of deaths
WomenG5
FIN-NKARUS-MORUS-MOIRUS-NOI
YUG-NOSPOL-TARFIN-KUOUNK-BELSWE-NS
RUS-NOCCZE-CZENEZ-AUCUNK-GLA
FIN-TULICE-ICE
LTU-KAUAUS-NEW
CHN-BEIGER-AUGGER-EGEDEN-GLOCAN-HALAUS-PERPOL-WARSWE-GOTGER-BREUSA-STA
ITA-BRISWI-TICITA-FRI
SWI-VAFBEL-CHABEL-GHESPA-CATFRA-STR
FRA-LILFRA-TOU
0 20 40 60 80 100
Percentage of deaths
Men
RUS-NOCPOL-TARRUS-NOI
YUG-NOSCHN-BEIRUS-MORUS-MOIUNK-GLACZE-CZEFIN-NKA
POL-WARLTU-KAUUNK-BEL
AUS-NEWFIN-KUO
NEZ-AUCUSA-STAFIN-TUL
GER-AUGGER-EGESWE-NSBEL-CHACAN-HAL
SWE-GOTAUS-PERSPA-CAT
ITA-FRIDEN-GLOGER-BREFRA-STRBEL-GHE
ITA-BRIICE-ICEFRA-LIL
FRA-TOU
0 20 40 60 80 100
Percentage of deaths
CHD Stroke Other CVD Non CVD
WomenG6
Hot pursuit
Mixed pursuitCold pursuit
G7
AUS-NEWAUS-PERBEL-CHABEL-GHECAN-HALCHN-BEICZE-CZEDEN-GLOFIN-KUOFIN-NKAFIN-TULFRA-LIL
FRA-STRFRA-TOUGER-AURGER-AUUGER-BREGER-EGE
ICE-ICEITA-BRIITA-FRI
LTU-KAUNEZ-AUCPOL-TAR
POL-WARRUS-MOCRUS-MOIRUS-NOCRUS-NOISPA-CAT
SWE-GOTSWE-NSSWI-TIC
SWI-VAFUNK-BELUNK-GLAUSA-STAYUG-NOS
1980 1985 1990 1995
Early registration period Lagged registration period
G8
CHN-BEI
DEN-GLO
FIN-KUO
FIN-NKA
FIN-TUL
ITA-FRI
LTU-KAU
POL-WAR
RUS-MOC
RUS-MOI
RUS-NOC
RUS-NOI
SWE-GOT
SWE-NS
YUG-NOS
1980 1985 1990 1995
Early registration period Lagged registration period
G9
AUS-NEWAUS-PERBEL-CHABEL-GHECAN-HALCHN-BEICZE-CZEDEN-GLOFIN-KUOFIN-NKAFIN-TULFRA-LIL
FRA-STRFRA-TOUGER-AURGER-AUUGER-BREGER-EGE
ICE-ICEITA-BRIITA-FRI
LTU-KAUNEZ-AUCPOL-TAR
POL-WARRUS-MOCRUS-MOIRUS-NOCRUS-NOISPA-CAT
SWE-GOTSWE-NSSWI-TIC
SWI-VAFUNK-BELUNK-GLAUSA-STAYUG-NOS
1980 1985 1990 1995
Initial survey Middle survey Final survey
G10
AUS-NEW
AUS-PER
BEL-GCH
CAN-HALCHN-BEI
CZE-CZE
DEN-GLO
FIN-FIN
FRA-LIL
FRA-STRFRA-TOU
GER-AUG
GER-BRE
GER-EGE
ICE-ICEITA-BRI
ITA-FRI
LTU-KAU
NEZ-AUC
POL-TAR
POL-WARRUS-MOS
RUS-NOV
SPA-CAT
SWE-GOT
SWE-NS
SWI-SWIUNK-BEL
UNK-GLA
USA-STA
YUG-NOS
1980 1985 1990 1995
AUS-NEW
AUS-PER
BEL-GCH
CAN-HALCHN-BEI
CZE-CZE
DEN-GLO
FIN-FIN
FRA-LIL
FRA-STRFRA-TOU
GER-AUG
GER-BRE
GER-EGE
ICE-ICEITA-BRI
ITA-FRI
LTU-KAU
NEZ-AUC
POL-TAR
POL-WARRUS-MOS
RUS-NOV
SPA-CAT
SWE-GOT
SWE-NS
SWI-SWIUNK-BEL
UNK-GLA
USA-STA
YUG-NOS
1980 1985 1990 1995
First coronary event registration period Second coronary event registration period First coronary care recording period Second coronary care recording period
G11
end of presentation A
MONICA Monograph Slide Presentations
Graphics B: Coronary Events, Incidence, Case Fatality and Mortality Rates
Prepared by Hanna Tolonen and Hugh Tunstall-Pedoe
FIN-NKAFIN-KUO
UNK-GLAUNK-BELFIN-TUL
CAN-HALSWE-NSW
ICE-ICEDEN-GLOAUS-NEWPOL-WARCZE-CZEUSA-STA
RUS-MOCNEZ-AUCLTU-KAURUS-MOIBEL-CHARUS-NOCAUS-PERPOL-TARYUG-NOSSWE-GOT
RUS-NOIGER-BREBEL-GHEGER-EGEFRA-STRSWI-TIC
GER-AUGFRA-LILITA-BRIITA-FRI
SWI-VAFFRA-TOUSPA-CATCHN-BEI
0 200 400 600 800 10000
Average annual event rate per 100 000
Men
UNK-GLAUNK-BEL
AUS-NEWFIN-NKA
USA-STADEN-GLOPOL-WAR
FIN-KUOCAN-HAL
SWE-NSNEZ-AUCRUS-NOIICE-ICE
POL-TARFIN-TUL
RUS-NOCRUS-MOCBEL-CHARUS-MOI
YUG-NOSAUS-PER
SWE-GOTCZE-CZEBEL-GHEGER-BREFRA-STRGER-EGELTU-KAU
FRA-LILGER-AUG
ITA-FRIITA-BRI
FRA-TOUCHN-BEISPA-CAT
0 100 200 300 400 5000
Average annual event rate per 100 000
Women
G12
UNK-GLAFIN-NKA
POL-WARFIN-KUOUNK-BELRUS-NOILTU-KAUCZE-CZEBEL-CHARUS-NOC
FIN-TULPOL-TAR
RUS-MOCCAN-HALRUS-MOIDEN-GLOYUG-NOSAUS-NEWSWE-NSW
ICE-ICEGER-EGENEZ-AUCAUS-PERUSA-STAGER-BRESWE-GOTBEL-GHE
FRA-LILSWI-TIC
FRA-STRITA-BRIITA-FRI
GER-AUGFRA-TOUSPA-CATSWI-VAFCHN-BEI
0 200 400 600 800 10000
Average annual event rate per 100 000
Men
UNK-GLAUNK-BEL
POL-WARRUS-NOI
CAN-HALDEN-GLORUS-NOCUSA-STA
AUS-NEWBEL-CHAYUG-NOS
FIN-NKACZE-CZEFIN-KUOPOL-TARSWE-NS
NEZ-AUCGER-EGELTU-KAUGER-BRERUS-MOIFIN-TUL
AUS-PERICE-ICE
SWE-GOTRUS-MOCBEL-GHEGER-AUG
FRA-LILFRA-STR
ITA-FRISPA-CAT
ITA-BRICHN-BEIFRA-TOU
0 100 200 300 400 5000
Average annual event rate per 100 000
Women
G13
80 82 84 86 88 90 92 94 96
Calender years 19--
0
200
400
600
800
1000
1200
Ave
rag
e an
nu
al e
ven
t ra
te p
er 1
00 0
00
Men
80 82 84 86 88 90 92 94 96
Calendar years 19--
0
200
400
600
800
1000
1200
Ave
rage
ann
ual e
vent
rat
e pe
r 10
0 00
0
Men
FIN-NKA
AUS-NEW
AUS-PERBEL-CHA
BEL-GHE
CAN-HAL
CHN-BEI
DEN-GLO
FIN-KUO
FIN-TUL
FRA-LILFRA-STR
FRA-TOU
GER-AUGGER-BREGER-EGE
ICE-ICE
ITA-BRI
ITA-FRI
LTU-KAUNEZ-AUC
POL-TAR
POL-WAR
RUS-MOCRUS-MOI
RUS-NOC
RUS-NOI
SPA-CAT
SWE-GOT
SWE-NSW
SWI-TIC
SWI-VAF
UNK-BELUNK-GLA
USA-STAYUG-NOS
80 82 84 86 88 90 92 94 96
Calender years 19--
0
50
100
150
200
250
300
350
Ave
rag
e an
nu
al e
ven
t ra
te p
er 1
00 0
00
Women
80 82 84 86 88 90 92 94 96
Calendar years 19--
0
50
100
150
200
250
300
350
Ave
rage
ann
ual e
vent
rat
e pe
r 10
0 00
0
Women
AUS-NEW
AUS-PERBEL-CHA
BEL-GHE
CAN-HAL
CHN-BEI
CZE-CZE
DEN-GLOFIN-KUO
FIN-NKA
FIN-TUL
FRA-LILFRA-STR
FRA-TOU
GER-AUG
GER-BRE
GER-EGE
ICE-ICE
ITA-BRI
ITA-FRILTU-KAU
NEZ-AUCPOL-TAR
POL-WAR
RUS-MOC
RUS-MOI
RUS-NOCRUS-NOI
SPA-CAT
SWE-GOT
SWE-NSW
UNK-BEL
UNK-GLA
USA-STA
YUG-NOS
G14
FIN-NKAFIN-KUOICE-ICE
SWE-NSAUS-NE
NEZ-AUCCAN-HALUNK-BELGER-AURUSA-STAFIN-TUL
DEN-GLOSWE-GOFRA-STRSWI-VAFBEL-GHEAUS-PERRUS-MOIGER-BRE
SWI-TICITA-BRI
FRA-TOUGER-AUUUNK-GLA
FRA-LILRUS-MO
ITA-FRIRUS-NO
GER-EGECZE-CZEBEL-CHA
YUG-NOSPOL-WA
POL-TARLTU-KAUSPA-CATCHN-BEIRUS-NOI
-15 -10 -5 0 5 100
Annual trend per cent
Men
RUS-MOCFRA-STR
AUS-NEWFIN-NKAFIN-TULFIN-KUOICE-ICE
SWE-GOTITA-BRI
NEZ-AUCBEL-GHEDEN-GLOUSA-STAUNK-BELSWE-NS
AUS-PERFRA-TOURUS-MOI
FRA-LILITA-FRI
CHN-BEIGER-AUUGER-BREPOL-TARUNK-GLACAN-HALPOL-WARBEL-CHA
RUS-NOCRUS-NOI
GER-EGESPA-CATCZE-CZELTU-KAU
YUG-NOSGER-AUR
-15 -10 -5 0 5 100
Annual trend per cent
Women
G15
POL-TARPOL-WAR
FRA-LILRUS-NOC
CHN-BEIRUS-MOI
YUG-NOSRUS-MORUS-NOILTU-KAU
GER-AUGFRA-STRNEZ-AUCUSA-STACZE-CZEBEL-GHEDEN-GLOBEL-CHA
ITA-FRIGER-BRE
FIN-NKAUNK-GLA
FIN-TULGER-EGEFIN-KUOUNK-BELFRA-TOU
SWE-GOTAUS-NEW
SWI-VAFICE-ICEITA-BRI
SPA-CATCAN-HALSWE-NS
AUS-PERSWI-TIC
0 20 40 60 80 1000
Average case fatality per cent
Men
POL-TARCHN-BEIFRA-LIL
GER-EGEGER-AUGPOL-WARBEL-GHEFRA-TOURUS-NOCRUS-MOIFRA-STRRUS-NOI
ITA-BRIBEL-CHACZE-CZELTU-KAUUSA-STARUS-MO
ITA-FRIGER-BRE
FIN-TULDEN-GLOYUG-NOSNEZ-AUCUNK-GLA
AUS-NEWSPA-CATAUS-PERUNK-BEL
SWE-GOTFIN-KUOICE-ICEFIN-NKA
CAN-HALSWE-NS
0 20 40 60 80 1000
Average case fatality per cent
Women
G16
POL-TARRUS-MOI
RUS-MOCRUS-NOICHN-BEI
POL-WARRUS-NOCGER-AUGLTU-KAU
FRA-LILDEN-GLOYUG-NOSCZE-CZEGER-EGEGER-BREFIN-KUO
NEZ-AUCFIN-TULFIN-NKA
FRA-STRBEL-CHABEL-GHE
ITA-FRIUNK-GLA
SWE-GOTUSA-STA
ITA-BRIUNK-BEL
AUS-NEWSWI-VAFFRA-TOUSPA-CAT
ICE-ICEAUS-PERCAN-HALSWE-NSSWI-TIC
0 20 40 60 80 1000
Average case fatality per cent
Men
POL-TARCHN-BEIRUS-NOIFRA-LIL
RUS-MOIRUS-MO
GER-AUGRUS-NO
DEN-GLOGER-EGEYUG-NOSFRA-STRUSA-STAFRA-TOULTU-KAUBEL-GHEPOL-WA
NEZ-AUCCZE-CZEBEL-CHAGER-BRESPA-CATSWE-GO
ITA-FRIITA-BRI
UNK-GLAFIN-NKAAUS-NE
AUS-PERUNK-BELFIN-TULFIN-KUOICE-ICE
SWE-NSCAN-HAL
0 20 40 60 80 1000
Average case fatality per cent
Women
G17
SWI-TICFRA-TOUSWI-VAF
SWE-NSWAUS-NEW
ICE-ICEITA-FRI
BEL-CHAFRA-STRSPA-CATUSA-STABEL-GHEAUS-PERCAN-HALUNK-BELUNK-GLAGER-BRE
ITA-BRINEZ-AUCFIN-NKA
POL-WARYUG-NOS
FRA-LILFIN-TUL
RUS-NOCSWE-GOTCZE-CZEFIN-KUOLTU-KAUCHN-BEIPOL-TAR
GER-AUGRUS-NOI
DEN-GLOGER-EGERUS-MOCRUS-MOI
-15 -10 -5 0 5 10
Annual relative trend per cent
Men
ITA-BRICAN-HALFRA-TOUAUS-NEWGER-BREAUS-PERFRA-STRGER-EGEUNK-GLAPOL-WAR
ITA-FRIFIN-TUL
BEL-CHABEL-GHEUNK-BELLTU-KAUCZE-CZE
ICE-ICEPOL-TARUSA-STA
GER-AUGFIN-NKA
RUS-NOCSWE-NSWYUG-NOSNEZ-AUC
FRA-LILFIN-KUO
SWE-GOTCHN-BEI
RUS-MOCSPA-CATRUS-MOIDEN-GLORUS-NOI
-15 -10 -5 0 5 10
Annual relative trend per cent
Women
G18
MONICA CHDOfficial CHD
Women
Average annual mortality rate per 100 000
UNK-GLAPOL-TARRUS-NOI
POL-WARDEN-GLOUNK-BEL
RUS-NOCUSA-STABEL-CHA
AUS-NEWRUS-MOINEZ-AUCFIN-NKA
CZE-CZERUS-MOCYUG-NOSGER-EGEFIN-KUOCAN-HALFIN-TUL
BEL-GHEFRA-LIL
LTU-KAUGER-BRE
SWE-NSWGER-AUGAUS-PER
SWE-GOTFRA-STR
ICE-ICECHN-BEI
ITA-FRIITA-BRI
FRA-TOUSPA-CAT
0 20 40 60 80 100 120 140
Men
Average annual mortality rate per 100 000
FIN-NKAPOL-TARUNK-GLAPOL-WAR
FIN-KUORUS-MOCRUS-MOIUNK-BELRUS-NOI
RUS-NOCLTU-KAU
DEN-GLOCZE-CZEFIN-TUL
BEL-CHAYUG-NOSNEZ-AUCUSA-STACAN-HAL
AUS-NEWGER-EGE
SWE-NSWGER-BRE
ICE-ICEFRA-LIL
BEL-GHESWE-GOTGER-AUGAUS-PERFRA-STR
ITA-FRIITA-BRI
SWI-TICFRA-TOUSWI-VAFSPA-CATCHN-BEI
0 100 200 300 400 500
G19
MONICA CHDOfficial CHD
Men
SWE-NSWAUS-NEW
FIN-NKASWI-VAF
ICE-ICECAN-HALFRA-TOUUNK-BELSWI-TIC
FRA-STRUSA-STANEZ-AUCFIN-KUOBEL-GHEFIN-TUL
AUS-PERGER-BRE
SWE-GOTITA-BRIITA-FRI
DEN-GLOUNK-GLAGER-AUG
FRA-LILBEL-CHA
YUG-NOSRUS-NOCSPA-CATCZE-CZE
POL-WARGER-EGELTU-KAU
RUS-MOCPOL-TARRUS-MOICHN-BEIRUS-NOI
-15 -10 -5 0 5 10 Annual trend per cent
Women
ITA-BRI
AUS-NEWFRA-STR
FIN-TULFIN-NKA
RUS-MOCBEL-GHEFRA-TOU
ICE-ICEFIN-KUOCAN-HALAUS-PERUNK-BELNEZ-AUCUSA-STA
SWE-GOTITA-FRI
SWE-NSWUNK-GLAGER-BRE
POL-WARBEL-CHAPOL-TAR
FRA-LILRUS-MOIGER-EGEDEN-GLOGER-AUGCHN-BEICZE-CZELTU-KAU
RUS-NOCSPA-CAT
YUG-NOSRUS-NOI
-15 -10 -5 0 5 10 Annual trend per cent
G20
0 0.5 1 1.5 20
Coronary event quality score
-10
-5
0
5Tr
end
in M
ON
ICA
CH
D m
orta
lity
rate
0 0.5 1 1.5 20
Coronary event quality score
-10
-5
0
5
Tren
d in
cor
onar
y ev
ent r
ate
0 0.5 1 1.5 20
Coronary event quality score
-10
-5
0
5
Tren
d in
cas
e fa
talit
y
0 0.5 1 1.5 20
Coronary event quality score
-10
-5
0
5
Tren
d in
MO
NIC
A C
HD
mor
talit
y ra
te
0 0.5 1 1.5 20
Coronary event quality score
-10
-5
0
5Tr
end
in c
oron
ary
even
t rat
e
0 0.5 1 1.5 20
Coronary event quality score
-10
-5
0
5
Tren
d in
cas
e fa
talit
y
Men
Wom
enMortality rate Event rate Case fatality
G21
SWE-NSAUS-NEW
FIN-NKASWI-VAFICE-ICE
CAN-HALFRA-TOUUNK-BELSWI-TIC
FRA-STRUSA-STANEZ-AUCFIN-KUO
BEL-GHEFIN-TUL
AUS-PERGER-BRESWE-GOT
ITA-BRIITA-FRI
DEN-GLOUNK-GLAGER-AUG
FRA-LILBEL-CHA
YUG-NOSRUS-NOCSPA-CATCZE-CZE
POL-WARGER-EGELTU-KAU
RUS-MOCPOL-TARRUS-MOICHN-BEIRUS-NOI
-15 -10 -5 0 5 10
Annual trend per cent
Men
AUS-NEWFRA-STR
ITA-BRIFIN-TULFIN-NKA
RUS-MOCBEL-GHEFRA-TOU
ICE-ICEFIN-KUO
CAN-HALAUS-PERUNK-BELNEZ-AUCUSA-STA
SWE-GOTITA-FRI
SWE-NSUNK-GLAGER-BREPOL-WARBEL-CHAPOL-TAR
FRA-LILRUS-MOIGER-EGEDEN-GLOGER-AUG
CHN-BEICZE-CZELTU-KAU
RUS-NOCSPA-CAT
YUG-NOSRUS-NOI
-15 -10 -5 0 5 10
Annual trend per cent
Women
G22
SWE-NSWAUS-NEW
FIN-NKASWI-VAFICE-ICE
CAN-HALFRA-TOUUNK-BELSWI-TIC
FRA-STRUSA-STANEZ-AUCFIN-KUOBEL-GHEFIN-TUL
AUS-PERGER-BRE
SWE-GOTITA-BRIITA-FRI
DEN-GLOUNK-GLAGER-AUG
FRA-LILBEL-CHAYUG-NOSRUS-NOCSPA-CATCZE-CZEPOL-WARGER-EGELTU-KAU
RUS-MOCPOL-TARRUS-MOICHN-BEIRUS-NOI
-15 -10 -5 0 5 10
Annual trend per cent
Event rate
Case fatality
Men
AUS-NEWFRA-STR
ITA-BRIFIN-TULFIN-NKA
RUS-MOCBEL-GHEFRA-TOU
ICE-ICEFIN-KUOCAN-HALAUS-PERUNK-BELNEZ-AUCUSA-STA
SWE-GOTITA-FRI
SWE-NSWUNK-GLAGER-BREPOL-WARBEL-CHAPOL-TAR
FRA-LIL
RUS-MOIGER-EGEDEN-GLOGER-AUGCHN-BEICZE-CZELTU-KAU
RUS-NOCSPA-CAT
YUG-NOSRUS-NOI
-15 -10 -5 0 5 100
Annual trend per cent
Event rate
Case fatality
Women
G23
Change in coronary event rate
Change in MONICA CHD mortality
Change in case fatality
Significant increaseInsignificant changeSignificant decrease
Men
G24
Change in coronary event rate
Change in MONICA CHD mortality
Change in case fatality
WomenSignificant increaseInsignificant changeSignificant decrease
G25
end of presentation B
MONICA Monograph Slide Presentations:
Graphics C: Strokes, Incidence, Case Fatality and Mortality Rates
Prepared by Hanna Tolonen and Hugh Tunstall-Pedoe
RUS-NOI
RUS-NOC
FIN-KUOLTU-KAU
FIN-NKA
RUS-MOCCHN-BEI
FIN-TUL
YUG-NOSSWE-NS
DEN-GLO
RUS-MOIPOL-WAR
SWE-GOT
ITA-FRI
0 100 200 300 400 500
Average annual event rate per 100 000
RUS-NOI
RUS-NOC
FIN-KUOCHN-BEI
LTU-KAU
RUS-MOCFIN-NKA
SWE-NS
FIN-TULYUG-NOS
RUS-MOI
DEN-GLOPOL-WAR
SWE-GOT
ITA-FRI
0 100 200 300 400 500
Average annual event rate per 100 000
RUS-NOI
RUS-NOC
LTU-KAUFIN-KUO
FIN-NKA
CHN-BEIFIN-TUL
RUS-MOI
SWE-NSRUS-MOC
YUG-NOS
POL-WARDEN-GLO
SWE-GOT
ITA-FRI
0 100 200 300 400 500
Average annual event rate per 100 000
RUS-NOI
RUS-NOC
CHN-BEILTU-KAU
SWE-NS
FIN-KUOYUG-NOS
FIN-NKA
FIN-TULRUS-MOC
POL-WAR
DEN-GLORUS-MOI
SWE-GOT
ITA-FRI
0 100 200 300 400 500
Average annual event rate per 100 000
Men WomenF
irst p
erio
dF
inal
per
iod
G26
82 84 86 88 90 92 94 96
Calendar years 19--
0
100
200
300
400
500
600
Eve
nt r
ate
per
100
000
82 84 86 88 90 92 94 96
Calendar years 19--
0
100
200
300
400
500
600E
vent
rat
e pe
r 10
0 00
0
CHN-BEI
DEN-GLO
FIN-KUOFIN-NKA
FIN-TUL
ITA-FRI
LTU-KAU
POL-WAR
RUS-MOC
RUS-MOI
RUS-NOC
RUS-NOI
SWE-GOT
SWE-NSW
YUG-NOS
Men
CHN-BEI
DEN-GLO
FIN-KUO
FIN-NKA
FIN-TUL
ITA-FRI
LTU-KAU
POL-WAR
RUS-MOC
RUS-MOI
RUS-NOC
RUS-NOI
SWE-GOT
SWE-NSWYUG-NOS
WomenG27
POL-WARRUS-MOI
RUS-NOCYUG-NOS
ITA-FRI
RUS-MOCRUS-NOICHN-BEI
FIN-TULLTU-KAU
FIN-NKAFIN-KUO
SWE-GOT
DEN-GLOSWE-NS
0 20 40 60 80 100
Average case fatality per cent
POL-WARYUG-NOS
RUS-MOIITA-FRI
RUS-MOC
RUS-NOCCHN-BEIFIN-KUO
RUS-NOIFIN-TUL
SWE-GOTLTU-KAUFIN-NKA
SWE-NSDEN-GLO
0 20 40 60 80 100
Average case fatality per cent
RUS-MOIRUS-MOC
YUG-NOSPOL-WARRUS-NOI
RUS-NOCLTU-KAUCHN-BEI
ITA-FRIDEN-GLO
FIN-NKASWE-GOT
FIN-TUL
FIN-KUOSWE-NS
0 20 40 60 80 100
Average case fatality per cent
RUS-MOIRUS-MOC
POL-WARYUG-NOSRUS-NOC
ITA-FRICHN-BEILTU-KAU
SWE-GOTFIN-TUL
RUS-NOIDEN-GLOFIN-NKA
SWE-NSFIN-KUO
0 20 40 60 80 100
Average case fatality per cent
Firs
t per
iod
Fin
al p
erio
dMen Women
G28
DEN-GLO
RUS-MOCFIN-KUO
FIN-NKA
FIN-TULRUS-NOC
YUG-NOS
ITA-FRICHN-BEI
SWE-NS
POL-WARRUS-NOI
SWE-GOT
RUS-MOILTU-KAU
-20 -10 0 10 20 30
Annual trend per cent
RUS-MOC
FIN-KUO
RUS-MOI
DEN-GLOFIN-TUL
FIN-NKA
ITA-FRISWE-GOT
RUS-NOC
YUG-NOS
CHN-BEIPOL-WAR
LTU-KAU
RUS-NOI
SWE-NS
-20 -10 0 10 20 30
Annual trend per cent
ITA-FRI
FIN-TUL
POL-WARFIN-NKA
SWE-NS
FIN-KUOCHN-BEI
SWE-GOT
DEN-GLOLTU-KAU
YUG-NOS
RUS-NOIRUS-NOC
RUS-MOC
RUS-MOI
-20 -10 0 10 20 30
Annual relative trend per cent
FIN-KUO
ITA-FRI
CHN-BEIPOL-WAR
SWE-NS
FIN-NKARUS-NOC
YUG-NOS
RUS-NOISWE-GOT
DEN-GLO
FIN-TULLTU-KAU
RUS-MOC
RUS-MOI
-20 -10 0 10 20 30
Annual relative trend per cent
Men WomenE
vent
rat
eC
ase
fata
lity
G29
RUS-NOC
RUS-NOI
POL-WARRUS-MOC
YUG-NOS
RUS-MOIFIN-KUO
LTU-KAU
FIN-NKACHN-BEI
FIN-TUL
ITA-FRISWE-NS
DEN-GLO
SWE-GOT
0 40 80 120 160
Average annual mortality rate per 100 000
RUS-NOC
RUS-NOI
YUG-NOSCHN-BEI
RUS-MOC
FIN-KUOPOL-WAR
RUS-MOI
LTU-KAUFIN-NKA
FIN-TUL
ITA-FRISWE-NS
DEN-GLO
SWE-GOT
0 40 80 120 160
Average annual mortality rate per 100 000
RUS-NOI
RUS-MOI
RUS-NOCRUS-MOC
LTU-KAU
YUG-NOSPOL-WAR
CHN-BEI
FIN-NKAFIN-KUO
FIN-TUL
DEN-GLOITA-FRI
SWE-GOT
SWE-NS
0 40 80 120 160
Average annual mortality rate per 100 000
RUS-NOI
RUS-NOC
YUG-NOSCHN-BEI
RUS-MOI
RUS-MOCLTU-KAU
POL-WAR
FIN-TULFIN-NKA
SWE-NS
FIN-KUODEN-GLO
ITA-FRI
SWE-GOT
0 40 80 120 160
Average annual mortality rate per 100 000
Men WomenF
irst p
erio
dF
inal
per
iod
G30
ITA-FRI
FIN-TUL
FIN-KUO
FIN-NKADEN-GLO
POL-WAR
SWE-NSCHN-BEI
YUG-NOS
SWE-GOT
RUS-NOILTU-KAU
RUS-NOC
RUS-MOC
RUS-MOI
-20 -10 0 10 20 30
Annual trend per cent
FIN-KUO
ITA-FRI
RUS-MOC
CHN-BEIDEN-GLO
POL-WAR
FIN-NKARUS-NOC
SWE-NS
YUG-NOS
SWE-GOTRUS-NOI
FIN-TUL
RUS-MOI
LTU-KAU
-20 -10 0 10 20 30
Annual trend per cent
ITA-FRI
FIN-TUL
FIN-KUO
FIN-NKADEN-GLO
POL-WAR
SWE-NSCHN-BEI
YUG-NOS
SWE-GOT
RUS-NOILTU-KAU
RUS-NOC
RUS-MOC
RUS-MOI
-20 -10 0 10 20 30
Annual trend per cent
Event rate
Case fatality
FIN-KUO
ITA-FRI
RUS-MOC
CHN-BEIDEN-GLO
POL-WAR
FIN-NKARUS-NOC
SWE-NS
YUG-NOS
SWE-GOTRUS-NOI
FIN-TUL
RUS-MOI
LTU-KAU
-20 -10 0 10 20 30
Annual trend per cent
Event rate
Case fatality
Men WomenM
orta
lity
rate
Eve
nt r
ate
and
ca
se fa
talit
yG31
Change in stroke event rate
Change in MONICA stroke mortality rate
Change in stroke case fatality
Men
Significant increaseInsignificant changeSignificant decrease
G32
Change in MONICA stroke mortality rate Change in stroke event rate Change in stroke case fatality
WomenSignificant increaseInsignificant changeSignificant decrease
G33
0 0.5 1 1.5 20
Stroke event quality score
-12
-8
-4
0
4
8
12Tr
end
in s
trok
e m
orta
lity
rate
0 0.5 1 1.5 20
Stroke event quality score
-12
-8
-4
0
4
8
12
Tren
d in
str
oke
mor
talit
y ra
te
0 0.5 1 1.5 20
Stroke event quality score
-12
-8
-4
0
4
8
12
Tren
d in
str
oke
even
t rat
e
0 0.5 1 1.5 20
Stroke event quality score
-10
-5
0
5
10
Tren
d in
str
oke
even
t rat
e
0 0.5 1 1.5 20
Stroke event quality score
-12
-8
-4
0
4
8
12
Tren
d in
str
oke
case
fata
lity
0 0.5 1 1.5 20
Stroke event quality score
-12
-8
-4
0
4
8
12
Tren
d in
str
oke
case
fata
lity
Men
Wom
en
Mortality rate Event rate Case fatality
G34
FIN-KUO
FIN-NKA
FIN-TUL
SWE-NS
POL-WAR
LTU-KAU
RUS-MOI
DEN-GLO
SWE-GOT
RUS-MOC
ITA-FRI
YUG-NOS
CHN-BEI
0 10 20 30 40 50
Average annual event rate per 100 000
FIN-KUO
SWE-NS
FIN-NKA
FIN-TUL
DEN-GLO
SWE-GOT
POL-WAR
LTU-KAU
ITA-FRI
YUG-NOS
RUS-MOC
RUS-MOI
CHN-BEI
0 10 20 30 40 50
Average annual event rate per 100 000
RUS-MOI
RUS-MOC
LTU-KAU
YUG-NOS
FIN-TUL
FIN-NKA
POL-WAR
FIN-KUO
ITA-FRI
DEN-GLO
SWE-NS
SWE-GOT
CHN-BEI
0 20 40 60 80 100
Average case fatality per cent
RUS-MOI
RUS-MOC
YUG-NOS
LTU-KAU
FIN-KUO
POL-WAR
DEN-GLO
ITA-FRI
FIN-TUL
SWE-NS
FIN-NKA
SWE-GOT
CHN-BEI
0 20 40 60 80 100
Average case fatality per cent
Men WomenE
vent
rat
eC
ase
fata
lity
G35
end of presentation C
MONICA Monograph Slide Presentations:
Graphics D: Risk Factors
Prepared by Hanna Tolonen and Hugh Tunstall-Pedoe
MONICA Monograph Slide Presentations:
Graphics D: Risk Factors
Part 1. Cigarette Smoking
RUS-NOCPOL-WARPOL-TARRUS-NOIUNK-GLABEL-CHACHN-BEI
YUG-NOSRUS-MOCSPA-CATDEN-GLOGER-BRECZE-CZE
ITA-BRIBEL-GHERUS-MOI
FRA-LILSWI-TIC
LTU-KAUGER-EGEFRA-TOUUSA-STA
GER-AUUITA-FRI
FIN-KUOFRA-STR
AUS-NEWUNK-BELAUS-PERSWI-VAF
SWE-GOTFIN-TUL
GER-AURFIN-NKA
NEZ-AUCCAN-HAL
ICE-ICESWE-NSW
0 20 40 60 80 100
Percentage of daily cigarette smokers
Men
UNK-GLADEN-GLO
ICE-ICESWE-GOTUSA-STA
POL-WARUNK-BELGER-BRECAN-HAL
SWE-NSWYUG-NOS
ITA-FRIBEL-GHENEZ-AUC
SWI-TICBEL-CHA
AUS-NEWAUS-PERCZE-CZESWI-VAF
ITA-BRIGER-AUUFRA-TOU
FIN-TULCHN-BEI
GER-EGEFRA-STR
FRA-LILRUS-MOI
RUS-MOCGER-AURPOL-TARFIN-KUOFIN-NKA
SPA-CATLTU-KAU
RUS-NOCRUS-NOI
0 20 40 60 80 100
Percentage of daily cigarette smokers
WomenG36
CHN-BEIRUS-NOCRUS-NOIPOL-TAR
POL-WARYUG-NOSBEL-CHARUS-MO
GER-BREDEN-GLOBEL-GHERUS-MOISPA-CATUNK-GLACZE-CZESWI-TIC
GER-AUULTU-KAU
ITA-BRIFRA-LIL
CAN-HALFIN-KUOFIN-TULITA-FRI
UNK-BELFIN-NKASWI-VAF
GER-EGESWE-GOTGER-AURFRA-TOUAUS-PERFRA-STR
ICE-ICEUSA-STA
AUS-NEWSWE-NS
NEZ-AUC
0 20 40 60 80 100
Percentage of daily cigarette smokers
Men
DEN-GLOUNK-GLAPOL-WAR
ICE-ICEGER-BREYUG-NOSBEL-CHA
SWE-GOTSWE-NS
BEL-GHESWI-TIC
GER-AUUCAN-HALSWI-VAFUNK-BELCZE-CZE
ITA-BRIITA-FRI
FRA-TOUPOL-TARUSA-STAFIN-TULFRA-LIL
AUS-NEWGER-AURSPA-CATFRA-STRNEZ-AUCRUS-MOIRUS-MOFIN-KUO
AUS-PERFIN-NKA
GER-EGECHN-BEIRUS-NOI
RUS-NOCLTU-KAU
0 20 40 60 80 100
Percentage of daily cigarette smokers
Women
G37
USA-STAITA-BRI
FRA-TOUUNK-GLAFRA-STR
AUS-NEWGER-EGENEZ-AUCAUS-PERSPA-CAT
POL-WARCZE-CZE
SWE-GOTUNK-BELSWI-VAF
ITA-FRIFRA-LIL
GER-AURFIN-KUOSWI-TIC
LTU-KAUFIN-NKA
POL-TARICE-ICE
BEL-CHASWE-NS
RUS-MOCDEN-GLO
FIN-TULBEL-GHERUS-NOCGER-AUUGER-BREYUG-NOSRUS-MOICAN-HALRUS-NOICHN-BEI
-30 -20 -10 0 10 20 30
Ten-year trend in percentage of daily smokers
Men
USA-STAUNK-BELNEZ-AUCUNK-GLA
ICE-ICECHN-BEI
AUS-PERAUS-NEWSWE-GOTGER-EGE
ITA-FRICAN-HALPOL-WARFRA-STRDEN-GLOGER-BRELTU-KAUFIN-TUL
RUS-MOCRUS-MOISWE-NS
RUS-NOCFIN-KUOSWI-TIC
CZE-CZEFIN-NKA
GER-AURYUG-NOSFRA-TOU
FRA-LILSWI-VAF
ITA-BRIBEL-GHERUS-NOI
GER-AUUBEL-CHASPA-CATPOL-TAR
-30 -20 -10 0 10 20 30
Ten-year trend in percentage of daily smokers
Women
G38
Men Women
Significant increaseInsignificant change Significant decrease
G39
MONICA Monograph Slide Presentations:
Risk Factors
Part 2. Systolic Blood Pressure
FIN-KUOFRA-STRFIN-NKAFIN-TUL
POL-WARRUS-MOI
ITA-FRIGER-EGEGER-BRE
FRA-LILCZE-CZELTU-KAUUNK-GLA
ITA-BRIRUS-MOCGER-AUUGER-AURYUG-NOSRUS-NOIUNK-BELPOL-TARAUS-PER
SWI-TICSWE-GOT
SWI-VAFAUS-NEWRUS-NOCNEZ-AUCFRA-TOUSWE-NSCHN-BEIBEL-CHAUSA-STABEL-GHEDEN-GLO
ICE-ICECAN-HALSPA-CAT
100 110 120 130 140 150
Mean systolic blood pressure in mmHg
Men
FIN-KUORUS-MOIFIN-NKA
POL-WARRUS-MOCGER-EGE
FIN-TULGER-BRE
ITA-FRIFRA-STRLTU-KAUPOL-TARRUS-NOICZE-CZE
YUG-NOSFRA-LIL
UNK-GLARUS-NOC
ITA-BRIGER-AURUNK-BELSWI-TIC
GER-AUUAUS-NEW
CHN-BEISWE-NS
SWE-GOTAUS-PERSWI-VAFFRA-TOUNEZ-AUCBEL-CHADEN-GLOUSA-STASPA-CATBEL-GHE
ICE-ICECAN-HAL
100 110 120 130 140 150
Mean systolic blood pressure in mmHg
Women
G40
FIN-NKAGER-EGEFIN-KUO
ITA-FRIFIN-TUL
LTU-KAUCZE-CZEGER-AUUYUG-NOSGER-AURFRA-STRRUS-NOIUNK-BEL
FRA-LILAUS-PER
SWE-GOTPOL-TARRUS-MOIUNK-GLAPOL-WARSWI-VAF
GER-BRESWI-TIC
RUS-NOCCHN-BEI
AUS-NEWBEL-CHA
ITA-BRISWE-NSRUS-MO
CAN-HALBEL-GHEUSA-STANEZ-AUCDEN-GLOFRA-TOU
ICE-ICESPA-CAT
100 110 120 130 140 150
Mean systolic blood pressure in mmHg
Men
FIN-KUOGER-EGE
FIN-NKAYUG-NOSRUS-NOIFIN-TULITA-FRI
LTU-KAUPOL-TARCZE-CZERUS-MOI
RUS-MOCRUS-NOCGER-AUUCHN-BEI
SWE-GOTUNK-BEL
GER-AURFRA-LIL
GER-BREPOL-WARAUS-NEWFRA-STR
ITA-BRIUNK-GLA
SWE-NSWCAN-HALAUS-PERBEL-CHASWI-VAFSWI-TIC
NEZ-AUCBEL-GHEDEN-GLO
ICE-ICEUSA-STASPA-CATFRA-TOU
100 110 120 130 140 150
Mean systolic blood pressure in mmHg
Women
G41
POL-WARGER-BRERUS-MOIFRA-STR
ITA-BRIFIN-KUO
RUS-MOCFRA-TOU
FRA-LILUNK-GLANEZ-AUC
FIN-TULSPA-CATSWI-TICITA-FRI
FIN-NKADEN-GLO
SWE-NSWCZE-CZEUSA-STA
AUS-NEWAUS-PERRUS-NOC
ICE-ICERUS-NOI
GER-AURPOL-TARSWI-VAFBEL-CHA
YUG-NOSLTU-KAU
GER-EGECHN-BEI
GER-AUUUNK-BEL
SWE-GOTBEL-GHECAN-HAL
-20 -15 -10 -5 0 5 10 15
Ten-year trend in systolic blood pressure in mmHg
Men
POL-WARGER-BRERUS-MOIFRA-STR
RUS-MOCFRA-TOU
SWI-TICUNK-GLA
ITA-BRIFIN-KUOFRA-LILFIN-NKA
SPA-CATITA-FRI
USA-STADEN-GLOSWE-NS
GER-AURSWI-VAFLTU-KAUFIN-TUL
CZE-CZERUS-NOCNEZ-AUCAUS-PERPOL-TARGER-EGEUNK-BEL
AUS-NEWBEL-CHABEL-GHEGER-AUURUS-NOIICE-ICE
SWE-GOTCHN-BEI
YUG-NOSCAN-HAL
-20 -15 -10 -5 0 5 10 15
Ten-year trend in systolic blood pressure in mmHg
Women
G42
Men Women
Significant increaseInsignificant change Significant decrease
G43
MONICA Monograph Slide Presentations:
Risk Factors
Part 3. Total Cholesterol
FRA-LILSWI-VAFFIN-KUOFIN-NKA
CZE-CZESWE-NSW
ITA-FRIGER-AUUUNK-GLA
FIN-TULGER-AURSWE-GOT
ICE-ICEBEL-GHEBEL-CHAGER-BREUNK-BELLTU-KAU
GER-EGEDEN-GLOCAN-HALFRA-TOUAUS-PER
AUS-NEWSPA-CATNEZ-AUCRUS-MOI
ITA-BRIFRA-STR
RUS-NOCSWI-TIC
POL-WARRUS-MOCUSA-STARUS-NOI
YUG-NOSPOL-TARCHN-BEI
4 4.5 5 5.5 6 6.5 7
Mean total cholesterol in mmol/l
Men
UNK-GLACZE-CZEFIN-NKAICE-ICEFRA-LIL
SWE-NSWFIN-KUO
SWE-GOTFIN-TUL
SWI-VAFITA-FRI
GER-BREGER-AUULTU-KAUUNK-BELBEL-CHA
GER-AURBEL-GHE
GER-EGEDEN-GLOCAN-HALRUS-MOIRUS-NOIAUS-PERRUS-NOCNEZ-AUC
AUS-NEWFRA-TOU
RUS-MOCSPA-CAT
YUG-NOSPOL-WARPOL-TAR
ITA-BRIFRA-STRSWI-TIC
USA-STACHN-BEI
4 4.5 5 5.5 6 6.5 7
Mean total cholesterol in mmol/l
WomenG44
SWI-TICYUG-NOSSWI-VAFSWE-NSICE-ICE
GER-AUUGER-BREBEL-CHACZE-CZEGER-AURUNK-GLABEL-GHEFIN-NKA
FRA-STRFIN-KUOLTU-KAUDEN-GLO
ITA-BRIUNK-BELFIN-TULITA-FRIFRA-LIL
FRA-TOUGER-EGEAUS-NEWPOL-WARNEZ-AUCCAN-HALSPA-CATPOL-TAR
SWE-GOTAUS-PERUSA-STARUS-NOIRUS-MOIRUS-MO
RUS-NOCCHN-BEI
4 4.5 5 5.5 6 6.5 7
Mean total cholesterol in mmol/l
Men
LTU-KAUSWI-TIC
YUG-NOSGER-BRECZE-CZESWE-NSBEL-CHAUNK-GLASWI-VAFICE-ICE
BEL-GHEGER-AURGER-AUUUNK-BELFRA-STR
ITA-BRIFRA-LIL
DEN-GLOGER-EGECAN-HALFIN-KUOFIN-NKAFIN-TULITA-FRI
POL-WARFRA-TOU
AUS-NEWNEZ-AUC
RUS-MOCSPA-CATPOL-TARRUS-MOI
SWE-GOTRUS-NOIAUS-PERRUS-NOCUSA-STACHN-BEI
4 4.5 5 5.5 6 6.5 7
Mean total cholesterol in mmol/l
WomenG45
FRA-LILRUS-NOCSWE-GOT
ITA-FRIRUS-MOIFIN-KUO
CAN-HALFIN-NKAFIN-TUL
RUS-NOIRUS-MOCCZE-CZEBEL-GHEUNK-GLAAUS-PERSPA-CATGER-EGEUNK-BELSWI-VAFUSA-STAFRA-TOUGER-AUUGER-AURAUS-NEWLTU-KAUSWE-NS
DEN-GLONEZ-AUCBEL-CHA
ICE-ICEGER-BREPOL-WARPOL-TARCHN-BEIFRA-STR
ITA-BRIYUG-NOS
SWI-TIC
-1.5 -1 -0.5 0 0.5 1 1.5 2
Ten-year trend in total cholesterol in mmol/l
Men
SWE-GORUS-NOFRA-LILFIN-NKAITA-FRI
RUS-NOIFIN-KUOFIN-TUL
RUS-MOIAUS-PERUNK-GLACZE-CZE
ICE-ICERUS-MOUNK-BELNEZ-AUCGER-AUUGER-EGESPA-CATAUS-NE
FRA-TOUSWE-NS
DEN-GLOSWI-VAFCAN-HALGER-AURBEL-GHEUSA-STAPOL-TARLTU-KAUPOL-WA
GER-BREBEL-CHACHN-BEIFRA-STR
YUG-NOSITA-BRISWI-TIC
-1.5 -1 -0.5 0 0.5 1 1.5 2
Ten-year trend in total cholesterol in mmol/l
Women
G46
Men Women
Significant increaseInsignificant change Significant decrease
G47
MONICA Monograph Slide Presentations
Risk Factors
Part 4 Obesity - Body Mass Index
LTU-KAURUS-NOCRUS-NOI
RUS-MOCCZE-CZERUS-MOI
YUG-NOSPOL-TAR
POL-WARFIN-NKA
SPA-CATBEL-CHAFRA-STR
GER-AURFIN-KUO
ITA-FRIGER-BREBEL-GHE
GER-AUUFIN-TUL
UNK-GLAGER-EGECAN-HAL
FRA-LILUNK-BEL
SWE-NSWAUS-NEW
SWI-TICITA-BRI
SWI-VAFAUS-PER
ICE-ICEUSA-STAFRA-TOUNEZ-AUCCHN-BEI
DEN-GLOSWE-GOT
20 22 24 26 28 30
Mean body mass index (BMI) in kg/m
Women
2
LTU-KAUGER-AURCZE-CZEFRA-STRSWI-TIC
GER-AUUFIN-NKAFIN-TUL
CAN-HALBEL-CHAFIN-KUO
YUG-NOSPOL-WA
GER-BREITA-FRI
AUS-NEGER-EGERUS-MOISWI-VAFRUS-NO
BEL-GHERUS-NOISPA-CATRUS-MOUSA-STASWE-NSUNK-BEL
FRA-LILUNK-GLADEN-GLO
ICE-ICEFRA-TOUAUS-PER
ITA-BRINEZ-AUCPOL-TARSWE-GOCHN-BEI
20 22 24 26 28 30
Mean body mass index (BMI) in kg/m
Men
2
G48
RUS-NOIRUS-NOCPOL-TARLTU-KAU
YUG-NOSCZE-CZECAN-HALPOL-WARSPA-CAT
AUS-NEWFIN-KUOFIN-NKA
UNK-GLAGER-AURBEL-CHAUSA-STAGER-AUURUS-MOFRA-LIL
GER-EGERUS-MOIGER-BRE
ICE-ICEFIN-TUL
FRA-STRAUS-PERBEL-GHE
ITA-FRISWE-NS
NEZ-AUCUNK-BEL
ITA-BRISWI-TIC
SWE-GOTSWI-VAF
DEN-GLOFRA-TOUCHN-BEI
20 22 24 26 28 30
Mean body mass index (BMI) in kg/m
Women
2
AUS-NEWGER-AURCZE-CZECAN-HALFIN-NKA
FRA-STRFIN-KUO
YUG-NOSFIN-TUL
GER-AUUBEL-CHA
POL-WARLTU-KAU
GER-EGEUSA-STA
ITA-FRIICE-ICE
UNK-GLAGER-BRENEZ-AUCSPA-CATSWI-VAFSWI-TICITA-BRI
AUS-PERSWE-NSW
FRA-LILBEL-GHEUNK-BEL
SWE-GOTRUS-NOIFRA-TOUDEN-GLORUS-NOCPOL-TARRUS-MOI
RUS-MOCCHN-BEI
20 22 24 26 28 30
Mean body mass index (BMI) in kg/m
Men
2
G49
RUS-MOISWI-TIC
RUS-MOCLTU-KAU
RUS-NOCFRA-STR
GER-AUURUS-NOICZE-CZEDEN-GLO
FIN-TULSWI-VAF
GER-BREITA-FRI
POL-WARGER-AURFRA-TOUFIN-KUOUNK-BEL
GER-EGEFRA-LIL
POL-TARBEL-CHA
YUG-NOSBEL-GHEFIN-NKA
CAN-HALSWE-NSWSPA-CATAUS-PERCHN-BEI
SWE-GOTITA-BRI
NEZ-AUCICE-ICE
UNK-GLAUSA-STA
AUS-NEW
-4 -3 -2 -1 0 1 2 3 4
Ten-year trend in body mass index (BMI) in kg/m
Men
2
RUS-MOCRUS-MOILTU-KAU
RUS-NOCCZE-CZE
ITA-FRIFRA-STRBEL-CHA
YUG-NOSSWI-VAFRUS-NOIFRA-TOUBEL-GHEFIN-NKASWI-TICCHN-BEIUNK-BELGER-BREPOL-WARGER-AURSWE-NSFIN-TUL
DEN-GLOITA-BRI
SPA-CATGER-AUUGER-EGESWE-GOTPOL-TARFIN-KUO
UNK-GLAFRA-LIL
NEZ-AUCAUS-PER
ICE-ICEAUS-NEWUSA-STACAN-HAL
-4 -3 -2 -1 0 1 2 3 4
Ten-year trend in body mass index (BMI) in kg/m
Women
2
G50
Men Women
Significant increaseInsignificant change Significant decrease
G51
MONICA Monograph Slide Presentations:
Risk Factors
Part 5 Coronary Risk-Factor Scores and Coronary Risk-Factor Quality Scores
FIN-KUOFIN-NKA
CZE-CZEFRA-LILITA-FRI
UNK-GLAFIN-TUL
GER-BREPOL-WARGER-AUULTU-KAUGER-EGESWI-VAF
GER-AURFRA-STRBEL-CHARUS-MOI
RUS-NOCUNK-BEL
SWE-GOTSWE-NSRUS-MORUS-NOI
ITA-BRIBEL-GHEYUG-NOSPOL-TARDEN-GLOFRA-TOU
AUS-NEWAUS-PER
SWI-TICICE-ICE
SPA-CATCAN-HALNEZ-AUCUSA-STACHN-BEI
5 5.5 6 6.5 7 7.5 8
Mean risk-factor score
Men
UNK-GLAFIN-KUOFIN-NKA
GER-BREPOL-WAITA-FRI
RUS-MOICZE-CZEFIN-TUL
GER-EGEUNK-BELRUS-MOSWE-GOFRA-LIL
LTU-KAUSWE-NS
YUG-NOSDEN-GLOGER-AUURUS-NOIFRA-STR
ICE-ICEGER-AURPOL-TARSWI-VAFAUS-NEITA-BRI
AUS-PERBEL-CHARUS-NOSWI-TIC
NEZ-AUCFRA-TOUBEL-GHEUSA-STACAN-HALSPA-CATCHN-BEI
5 5.5 6 6.5 7 7.5 8
Mean risk-factor score
WomenG52
YUG-NOSCZE-CZESWI-TICFIN-NKA
GER-AUUFIN-KUO
GER-BREBEL-CHALTU-KAUUNK-GLAGER-AUR
FIN-TULITA-FRI
SWI-VAFPOL-WARGER-EGEFRA-STRBEL-GHEPOL-TAR
FRA-LILUNK-BEL
SWE-NSWRUS-NOI
ITA-BRIDEN-GLO
ICE-ICEAUS-NEWRUS-MOICAN-HAL
SWE-GOTAUS-PERRUS-NOCRUS-MOCFRA-TOUSPA-CATNEZ-AUCUSA-STACHN-BEI
5 5.5 6 6.5 7 7.5 8
Mean risk-factor score
Men
YUG-NOSCZE-CZEFIN-KUO
UNK-GLAGER-BRE
FIN-NKAGER-EGE
FIN-TULLTU-KAUGER-AUU
ITA-FRIUNK-BELSWE-NSPOL-TAR
POL-WARSWI-TIC
BEL-CHADEN-GLORUS-NOI
GER-AURITA-BRI
SWI-VAFRUS-MOIRUS-MO
SWE-GOTFRA-LILICE-ICE
FRA-STRCAN-HALBEL-GHE
AUS-NEWRUS-NOCAUS-PERNEZ-AUCFRA-TOUSPA-CATUSA-STACHN-BEI
5 5.5 6 6.5 7 7.5 8
Mean risk-factor score
WomenG53
FRA-LILRUS-MOI
RUS-NOCFIN-KUO
RUS-MOCITA-FRI
FRA-TOUSWE-GOTUNK-GLA
POL-WARFIN-TUL
SPA-CATCZE-CZEFIN-NKA
GER-BREAUS-PERUSA-STANEZ-AUCGER-EGEFRA-STRSWI-VAF
AUS-NEWRUS-NOIUNK-BELLTU-KAU
GER-AURDEN-GLO
SWE-NSWCAN-HAL
ITA-BRIGER-AUUBEL-CHABEL-GHE
ICE-ICEPOL-TARCHN-BEI
YUG-NOSSWI-TIC
-0.6 -0.3 0 0.3 0.6
Ten-year trend in risk-factor score
Men
RUS-MOIPOL-WARUNK-GLAGER-BRERUS-MOC
ITA-FRIFIN-KUOFRA-LILFIN-NKA
FRA-TOUAUS-PERUSA-STA
SWE-GOTNEZ-AUCUNK-BEL
RUS-NOCFIN-TUL
GER-EGEAUS-NEWDEN-GLOCZE-CZEFRA-STR
ICE-ICESWE-NSSPA-CATRUS-NOISWI-VAF
GER-AURLTU-KAU
ITA-BRIBEL-GHEGER-AUUCHN-BEIPOL-TARBEL-CHASWI-TIC
CAN-HALYUG-NOS
-0.6 -0.3 0 0.3 0.6
Ten-year trend in risk- factor score
Women
.G54
Men Women
Significant increaseInsignificant change Significant decrease
G55
0 0.5 1 1.5 20
Smoking quality score
-20
-10
0
10
20
Tre
nd in
dai
ly s
mok
ing
0 0.5 1 1.5 20
Smoking quality score
-20
-10
0
10
20
Tre
nd in
dai
ly s
mok
ing
0 0.5 1 1.5 20
Blood pressure quality score
-20
-15
-10
-5
0
5
10
15
Tre
nd in
sys
tolic
blo
od p
ress
ure
0 0.5 1 1.5 20
Blood pressure quality score
-20
-15
-10
-5
0
5
10
15
Tre
nd in
sys
tolic
blo
od p
ress
ure
0 0.5 1 1.5 20
Cholesterol quality score
-1
-0.5
0
0.5
1
1.5
Tre
nd in
tota
l cho
lest
erol
0 0.5 1 1.5 20
Cholesterol quality score
-1
-0.5
0
0.5
1
1.5
Tre
nd in
tota
l cho
lest
erol
0 0.5 1 1.5 20
BMI quality score
-3
-2
-1
0
1
2
3
Tre
nd in
BM
I
0 0.5 1 1.5 20
BMI quality score
-3
-2
-1
0
1
2
3
Tre
nd in
BM
I
Men
Daily cigarette smoking
Body mass indexBlood cholesterol concentration
Systolic blood pressure
G56
end of presentation D
MONICA Monograph Slide Presentations
Graphics E: Eight Evidence-Based Treatments in Coronary Care
Prepared by Hanna Tolonen and by Hugh Tunstall-Pedoe
AUS-NEWAUS-PERBEL-GCHCAN-HALCHN-BEICZE-CZE
DEN-GLOFIN-FINFRA-LIL
FRA-STRFRA-TOUGER-AUG
GER-BREGER-EGE
ICE-ICEITA-BRIITA-FRI
LTU-KAUNEZ-AUC
POL-TARPOL-WARRUS-MOSRUS-NOVSPA-CAT
SWE-GOT
SWE-NSSWI-SWIUNK-BELUNK-GLAUSA-STAYUG-NOS
0 10 20 30 40 50
Percentage of beta blocker use in two time periods
Increase
Decrease
No change
Men
AUS-NEWAUS-PERBEL-GCHCAN-HALCHN-BEICZE-CZE
DEN-GLOFIN-FINFRA-LIL
FRA-STRFRA-TOUGER-AUG
GER-BREGER-EGE
ICE-ICEITA-BRIITA-FRI
LTU-KAU
NEZ-AUCPOL-TAR
POL-WARRUS-MOSRUS-NOVSPA-CAT
SWE-GOTSWE-NSSWI-SWIUNK-BELUNK-GLAUSA-STA
YUG-NOS
0 10 20 30 40 50
Percentage of beta blocker use in two time periods
Women
*
G57
AUS-NEWAUS-PERBEL-GCHCAN-HAL
CHN-BEICZE-CZEDEN-GLO
FIN-FINFRA-LIL
FRA-STRFRA-TOUGER-AUGGER-BRE
GER-EGEICE-ICEITA-BRIITA-FRI
LTU-KAU
NEZ-AUCPOL-TAR
POL-WARRUS-MOS
RUS-NOVSPA-CAT
SWE-GOTSWE-NSSWI-SWI
UNK-BELUNK-GLAUSA-STAYUG-NOS
0 20 40 60 80 100
Percentage of beta blocker use in two time periods
Increase
Decrease
No change
Men
AUS-NEWAUS-PERBEL-GCH
CAN-HALCHN-BEICZE-CZEDEN-GLO
FIN-FINFRA-LIL
FRA-STRFRA-TOU
GER-AUGGER-BREGER-EGE
ICE-ICE
ITA-BRIITA-FRI
LTU-KAUNEZ-AUC
POL-TARPOL-WARRUS-MOS
RUS-NOVSPA-CAT
SWE-GOTSWE-NS
SWI-SWIUNK-BELUNK-GLAUSA-STA
YUG-NOS
0 20 40 60 80 100
Percentage of beta blocker use in two time periods
Women
*
G58
AUS-NEWAUS-PERBEL-GCHCAN-HALCHN-BEI
CZE-CZEDEN-GLO
FIN-FINFRA-LIL
FRA-STR
FRA-TOUGER-AUGGER-BREGER-EGE
ICE-ICE
ITA-BRIITA-FRI
LTU-KAUNEZ-AUCPOL-TAR
POL-WAR
RUS-MOSRUS-NOVSPA-CAT
SWE-GOTSWE-NS
SWI-SWIUNK-BELUNK-GLAUSA-STAYUG-NOS
0 10 20 30 40 50
Percentage of antiplatelet use in two time periods
Increase
Decrease
No change
Men
AUS-NEWAUS-PERBEL-GCHCAN-HALCHN-BEI
CZE-CZEDEN-GLO
FIN-FINFRA-LIL
FRA-STR
FRA-TOUGER-AUGGER-BREGER-EGE
ICE-ICEITA-BRI
ITA-FRILTU-KAUNEZ-AUCPOL-TAR
POL-WAR
RUS-MOSRUS-NOVSPA-CAT
SWE-GOTSWE-NS
SWI-SWIUNK-BELUNK-GLAUSA-STA
YUG-NOS
0 10 20 30 40 50
Percentage of antiplatelet use in two time periods
Women
*
G59
AUS-NEWAUS-PERBEL-GCH
CAN-HALCHN-BEICZE-CZEDEN-GLO
FIN-FINFRA-LIL
FRA-STRFRA-TOU
GER-AUGGER-BREGER-EGE
ICE-ICE
ITA-BRIITA-FRI
LTU-KAUNEZ-AUC
POL-TARPOL-WARRUS-MOSRUS-NOV
SPA-CATSWE-GOT
SWE-NSSWI-SWI
UNK-BELUNK-GLAUSA-STAYUG-NOS
0 25 50 75 100
Percentage of antiplatelet use in two time periods
Increase
Decrease
No change
Men
AUS-NEWAUS-PERBEL-GCHCAN-HALCHN-BEICZE-CZE
DEN-GLOFIN-FINFRA-LIL
FRA-STRFRA-TOUGER-AUG
GER-BREGER-EGE
ICE-ICEITA-BRIITA-FRI
LTU-KAU
NEZ-AUCPOL-TAR
POL-WARRUS-MOSRUS-NOVSPA-CAT
SWE-GOTSWE-NSSWI-SWIUNK-BELUNK-GLAUSA-STA
YUG-NOS
0 25 50 75 100
Percentage of antiplatelet use in two time periods
Women
*
G60
AUS-NEWAUS-PERBEL-GCHCAN-HAL
CHN-BEICZE-CZEDEN-GLO
FIN-FINFRA-LIL
FRA-STRFRA-TOUGER-AUGGER-BRE
GER-EGEICE-ICEITA-BRIITA-FRI
LTU-KAU
NEZ-AUCPOL-TAR
POL-WARRUS-MOS
RUS-NOVSPA-CAT
SWE-GOTSWE-NSSWI-SWI
UNK-BELUNK-GLAUSA-STAYUG-NOS
0 10 20 30 40 50
Percentage of ACE inhibitor use in two time periods
Increase
Decrease
No change
Men
AUS-NEW
AUS-PERBEL-GCHCAN-HALCHN-BEICZE-CZEDEN-GLO
FIN-FIN
FRA-LILFRA-STRFRA-TOUGER-AUGGER-BREGER-EGE
ICE-ICE
ITA-BRIITA-FRI
LTU-KAUNEZ-AUCPOL-TAR
POL-WARRUS-MOSRUS-NOV
SPA-CATSWE-GOT
SWE-NSSWI-SWIUNK-BELUNK-GLAUSA-STA
YUG-NOS
0 10 20 30 40 50
Percentage of ACE inhibitor use in two time periods
Women
*
G61
AUS-NEWAUS-PERBEL-GCHCAN-HAL
CHN-BEICZE-CZEDEN-GLO
FIN-FINFRA-LIL
FRA-STRFRA-TOUGER-AUGGER-BRE
GER-EGEICE-ICEITA-BRIITA-FRI
LTU-KAU
NEZ-AUCPOL-TAR
POL-WARRUS-MOS
RUS-NOVSPA-CAT
SWE-GOTSWE-NSSWI-SWI
UNK-BELUNK-GLAUSA-STAYUG-NOS
0 20 40 60 80 100
Percentage of ACE inhibitor use in two time periods
Increase
Decrease
No change
Men
AUS-NEWAUS-PERBEL-GCHCAN-HALCHN-BEI
CZE-CZEDEN-GLO
FIN-FINFRA-LIL
FRA-STR
FRA-TOUGER-AUGGER-BREGER-EGE
ICE-ICE
ITA-BRIITA-FRI
LTU-KAUNEZ-AUCPOL-TAR
POL-WARRUS-MOSRUS-NOVSPA-CAT
SWE-GOT
SWE-NSSWI-SWIUNK-BELUNK-GLAUSA-STA
YUG-NOS
0 20 40 60 80 100
Percentage of ACE inhibitor use in two time periods
Women
*
G62
AUS-NEWAUS-PERBEL-GCHCAN-HALCHN-BEI
CZE-CZEDEN-GLO
FIN-FINFRA-LIL
FRA-STR
FRA-TOUGER-AUGGER-BREGER-EGE
ICE-ICE
ITA-BRIITA-FRI
LTU-KAUNEZ-AUCPOL-TAR
POL-WAR
RUS-MOSRUS-NOVSPA-CAT
SWE-GOTSWE-NS
SWI-SWIUNK-BELUNK-GLAUSA-STAYUG-NOS
0 10 20 30 40 50
Percentage prior revascularization in two time periods
Increase
Decrease
No change
Men
AUS-NEWAUS-PERBEL-GCHCAN-HALCHN-BEICZE-CZEDEN-GLO
FIN-FINFRA-LIL
FRA-STRFRA-TOUGER-AUGGER-BREGER-EGE
ICE-ICEITA-BRIITA-FRI
LTU-KAUNEZ-AUCPOL-TAR
POL-WARRUS-MOSRUS-NOVSPA-CAT
SWE-GOTSWE-NSSWI-SWIUNK-BELUNK-GLAUSA-STA
YUG-NOS
0 10 20 30 40 50
Percentage prior revascularization in two time periods
Women
*
G63
AUS-NEWAUS-PERBEL-GCHCAN-HAL
CHN-BEICZE-CZEDEN-GLO
FIN-FINFRA-LIL
FRA-STRFRA-TOUGER-AUGGER-BRE
GER-EGEICE-ICEITA-BRIITA-FRI
LTU-KAU
NEZ-AUCPOL-TAR
POL-WARRUS-MOS
RUS-NOVSPA-CAT
SWE-GOTSWE-NSSWI-SWI
UNK-BELUNK-GLAUSA-STAYUG-NOS
0 20 40 60 80 100
Percentage of thrombolytic drug use in two time periods
Increase
Decrease
No change
Men
AUS-NEWAUS-PERBEL-GCHCAN-HAL
CHN-BEICZE-CZEDEN-GLO
FIN-FIN
FRA-LILFRA-STRFRA-TOUGER-AUGGER-BRE
GER-EGEICE-ICEITA-BRIITA-FRI
LTU-KAUNEZ-AUCPOL-TAR
POL-WAR
RUS-MOSRUS-NOVSPA-CAT
SWE-GOTSWE-NS
SWI-SWIUNK-BELUNK-GLAUSA-STA
YUG-NOS
0 20 40 60 80 100
Percentage of thrombolytic drug use in two time periods
Women
*
G64
AUS-NEW
AUS-PERBEL-GCH
CAN-HALCHN-BEICZE-CZE
DEN-GLOFIN-FIN
FRA-LILFRA-STR
FRA-TOUGER-AUG
GER-BREGER-EGE
ICE-ICEITA-BRI
ITA-FRILTU-KAUNEZ-AUC
POL-TARPOL-WAR
RUS-MOSRUS-NOV
SPA-CATSWE-GOT
SWE-NSSWI-SWI
UNK-BELUNK-GLA
USA-STAYUG-NOS
0 10 20 30 40 50
Mean treatment score in two time periods
Increase
Decrease
No change
Men
AUS-NEW
AUS-PERBEL-GCHCAN-HAL
CHN-BEICZE-CZEDEN-GLO
FIN-FINFRA-LIL
FRA-STRFRA-TOUGER-AUG
GER-BREGER-EGE
ICE-ICEITA-BRIITA-FRI
LTU-KAUNEZ-AUCPOL-TAR
POL-WARRUS-MOS
RUS-NOVSPA-CAT
SWE-GOT
SWE-NSSWI-SWIUNK-BEL
UNK-GLAUSA-STA
YUG-NOS
0 10 20 30 40 50
Mean treatment score in two time periods
Women
*
G65
YUG-NOSLTU-KAUCZE-CZERUS-NOVGER-EGECHN-BEIPOL-TAR
RUS-MOSPOL-WARDEN-GLO
SWE-GOTGER-AUG
FIN-FINSPA-CATGER-BREBEL-GCHCAN-HAL
FRA-LILFRA-TOU
ICE-ICEAUS-PER
NEZ-AUCSWI-SWIUSA-STA
ITA-FRIAUS-NEW
ITA-BRIUNK-BELSWE-NS
UNK-GLAFRA-STR
0 10 20 30 40 50
Mean treatment score in two time periods
Increase
Decrease
No change
Men
GER-EGE
YUG-NOSCZE-CZE
LTU-KAURUS-NOV
CHN-BEIRUS-MOS
POL-WARPOL-TAR
BEL-GCH
DEN-GLOFIN-FIN
SWE-GOTICE-ICE
CAN-HALGER-AUG
GER-BRENEZ-AUC
USA-STASPA-CAT
FRA-LILAUS-NEW
ITA-BRI
SWE-NSFRA-TOU
AUS-PERUNK-BEL
FRA-STRITA-FRI
UNK-GLA
0 10 20 30 40 50
Mean treatment score in two time periods
Women
G66
0 0.5 1 1.5 20
Acute coronary care quality score
-5
0
5
10
15
20
25
30
Cha
nge
in E
quiv
alen
t Tre
atm
ent S
core
Men
0 0.5 1 1.5 20
Acure coronary care quality score
-5
0
5
10
15
20
25
30
Cha
nge
in E
quiv
alen
t Tre
atm
ent S
core
Women
G67
Men Women
< 15% change >= 15% change
G68
end of presentation E
MONICA Monograph Slide Presentations
Graphics F: Hypothesis Testing
Prepared by Hanna Tolonen and Hugh Tunstall-Pedoe
MONICA Monograph Slide Presentations
Part 1 Hypothesis on Coronary Disease and Coronary Risk Factors
RI
FLRO
FK
FU
FT
IF
PW
SP
UG
SG
RC
AN
CZ
AP
FN
LT
NZ
GE
GB
FSUS
BC
GRSN
SV
UB
IB
DN
GU
BG
CA
PT
IC
RTCN
ST
YU
-8 -6 -4 -2 0 2 4 60
Average annual trend percent in risk score
-8
-6
-4
-2
0
2
4
6
Ave
rage
ann
ual p
erce
ntag
e tr
end
in e
vent
rat
e
Men
RI
GBUG
PW
FL
FK
IF
FN
FTUBAP
RC
RO
SG
US
RT
FU
AN
GE
NZ
SP
FS
GR
DN SN
IBIC
CZ
PTGU
LT
CN
BG
BCCA
YU
-8 -6 -4 -2 0 2 4 60
Average annual trend percent in risk score
-8
-6
-4
-2
0
2
4
6
Ave
rage
ann
ual p
erce
ntag
e tr
end
in e
vent
rat
e
Women
y = -2.19 + 0.17x y = -0.69 + 0.34x
G69
RI
FLRO
FK
FU
FT
IF
PW
SPUG
SG
RC
AN
CZ
AP
FN
LT
NZ
GE
GB
FS
US
BC
GRSN
SV
UB
IB
DN
GUBGCAPT
IC
RT CN
ST
YU
-8 -6 -4 -2 0 2 4 60
Average annual trend percent in risk score
-8
-6
-4
-2
0
2
4
6
Ave
rage
ann
ual p
erce
ntag
e tr
end
in e
vent
rat
e
y = -2.33 + 0.46x
Men
RI
GB
UG
PW
FLFK
IF
FN
FT
UBAP
RC
RO
SG
US
RT
FU
AN
GE
NZ
SP
FS
GRDN
SNIB
IC
CZ
PT
GU
LT
CN
BG
BC
CA YU
-10 -5 0 5 100
Average annual trend percent in risk score
-10
-5
0
5
10
Ave
rage
ann
ual %
tren
d in
eve
nt r
ate
y = -0.37 + 0.56x
Women
G70
Wom
en
-2 -1 0 1 20
Average annual trend in smoking (%)
-8
-6
-4
-2
0
2
4
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
-2 -1 0 1 20
Average annual trend in smoking (%)
-8
-6
-4
-2
0
2
4
0
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
Daily cigarette smoking
-0.1 -0.05 0 0.05 0.1 0.150
Average annual trend in cholesterol (mmol/l)
-8
-6
-4
-2
0
2
4
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
-2 -1.5 -1 -0.5 0 0.5 1 1.5 20
Average annual trend in BP (mm Hg)
-8
-6
-4
-2
0
2
4
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
-0.1 -0.05 0 0.05 0.1 0.150
Average annual trend in cholesterol (mmol/l)
-8
-6
-4
-2
0
2
4
Ave
raga
ann
ual t
rend
(%
) in
eve
nt r
ate
-2 -1.5 -1 -0.5 0 0.5 1 1.5 20
Average annual trend in BP (mm Hg)
-8
-6
-4
-2
0
2
4
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
Systolic blood pressure
Total cholesterol Body mass index
-0.3 -0.2 -0.1 0 0.1 0.2 0.30
Average annual trend in BMI (kg/m )
-8
-6
-4
-2
0
2
4
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
2
-0.2 -0.1 0 0.1 0.2 0.30
Average annual trend in BMI (kg/m )
-8
-6
-4
-2
0
2
4
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
2
G71
Wom
en
-2 -1 0 1 20
Average annual trend in smoking (%)
-10
-5
0
5
10
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
-2 -1 0 1 20
Average annual trend in smoking (%)
-8
-6
-4
-2
0
2
4
0
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
Daily cigarette smoking
-0.1 -0.05 0 0.05 0.1 0.150
Average annual trend in cholesterol (mmol/l)
-10
-5
0
5
10
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
-2 -1.5 -1 -0.5 0 0.5 1 1.5 20
Average annual trend in BP (mm Hg)
-10
-5
0
5
10
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
-0.1 -0.05 0 0.05 0.1 0.150
Average annual trend in cholesterol (mmol/l)
-8
-6
-4
-2
0
2
4
Ave
raga
ann
ual t
rend
(%
) in
eve
nt r
ate
-2 -1.5 -1 -0.5 0 0.5 1 1.5 20
Average annual trend in BP (mm Hg)
-8
-6
-4
-2
0
2
4
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
Systolic blood pressure
Total cholesterol Body mass index
-0.3 -0.2 -0.1 0 0.1 0.2 0.30
Average annual trend in BMI (kg/m )
-10
-5
0
5
10
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
2
-0.2 -0.1 0 0.1 0.2 0.30
Average annual trend in BMI (kg/m )
-8
-6
-4
-2
0
2
4
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
2
G72
MONICA Monograph Slide Presentations:
Part 2. Hypothesis on Stroke and Stroke Risk Factors
Men Women
RI
PW
FK
RO
RC
FUIF
LT
SN
FN
DN
SGRTCN
YU
-5 -4 -3 -2 -1 0 1 2 30
Average annual trend percent in risk score
-15
-10
-5
0
5
10
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
y = -0.66 - 0.16x
RI
RC
PWLT
IF
FK
FNRO
RT
FUDN
SN
CNSGYU
-5 -4 -3 -2 -1 0 1 2 30
Average annual trend percent in risk score
-15
-10
-5
0
5
10
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
y = 0.06 + 0.79x
G73
Men Women
RI
PWFK
RORC
FU
IF
LTSN
FNDN
SG
RT
CN
YU
-5 -4 -3 -2 -1 0 1 2 30
Average annual trend percent in risk score
-15
-10
-5
0
5
10
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
y = -0.50 - 0.60x
RI
RC
PWLT
IF
FK
FNRO
RT
FU
DN
SN
CN
SG
YU
-5 -4 -3 -2 -1 0 1 2 30
Average annual trend percent in risk score
-15
-10
-5
0
5
10
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
y = 1.65 + 2.09x
G74
-0.3 -0.2 -0.1 0 0.10
Average annual trend in BMI (kg/m )
-10
-8
-6
-4
-2
0
2
4
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
Wom
en
-1.5 -1 -0.5 0 0.5 1 1.5 20
Average annual trend in smoking (%)
-5
-4
-3
-2
-1
0
1
2
3
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
Daily cigarette smoking
-1.5 -1 -0.5 0 0.5 10
Average annual trend in smoking (%)
-10
-8
-6
-4
-2
0
2
4
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
Systolic blood pressure
-1.5 -1 -0.5 0 0.5 10
Average annual trend in BP (mm Hg)
-5
-4
-3
-2
-1
0
1
2
3
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
-2 -1.5 -1 -0.5 0 0.5 10
Average annual trend in BP (mmHg)
-10
-8
-6
-4
-2
0
2
4
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
Total cholesterol
-0.1 -0.05 0 0.05 0.10
Average annual trend in cholesterol (mmol/l)
-5
-4
-3
-2
-1
0
1
2
3
Ave
rag
e an
nu
al t
ren
d (
%)
in e
ven
t ra
te
-0.1 -0.05 0 0.05 0.10
Average annual trend in cholesterol (mmol/l)
-10
-8
-6
-4
-2
0
2
4
Ave
rag
e an
nu
al t
ren
d (
%)
in e
ven
t ra
te
Body mass index
-0.2 -0.1 0 0.1 0.20
Average annual trend in BMI (kg/m )
-5
-4
-3
-2
-1
0
1
2
3
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
2
2
G75
Wom
en
-1.5 -1 -0.5 0 0.5 1 1.5 20
Average annual trend in smoking (%)
-6
-4
-2
0
2
4
6
8
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
Daily cigarette smoking
-1.5 -1 -0.5 0 0.5 10
Average annual trend in smoking (%)
-10
-5
0
5
10
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
Systolic blood pressure
-1.5 -1 -0.5 0 0.5 10
Average annual trend in BP (mm Hg)
-6
-4
-2
0
2
4
6
8
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
-2 -1.5 -1 -0.5 0 0.5 10
Average annual trend in BP (mmHg)
-10
-5
0
5
10
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
Total cholesterol
-0.1 -0.05 0 0.05 0.10
Average annual trend in cholesterol (mmol/l)
-6
-4
-2
0
2
4
6
8
Ave
rag
e an
nu
al t
ren
d (
%)
in e
ven
t ra
te
-0.1 -0.05 0 0.05 0.10
Average annual trend in cholesterol (mmol/l)
-10
-5
0
5
10
Ave
rag
e an
nu
al t
ren
d (
%)
in e
ven
t ra
te
Body mass index
-0.2 -0.1 0 0.1 0.20
Average annual trend in BMI (kg/m )
-6
-4
-2
0
2
4
6
8
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
-0.3 -0.2 -0.1 0 0.10
Average annual trend in BMI (kg/m )
-10
-5
0
5
10
Ave
rage
ann
ual t
rend
(%
) in
eve
nt r
ate
2
2
G76
MONICA Monograph Slide Presentations
Part 3. Hypothesis on Coronary Care
FS UG
SN
UB IB
AN IF US SW
NZ
AP
IC FT
FL
CA BE
GB SP
FI GA
SG
DN
PW
RM
PT CN
GE
RN
CZ LT
YU
0 10 20 300
Change in Equivalent Treatment Score
-50
-40
-30
-20
-10
0
10
20
30
40
50
0
Per
cent
age
chan
ge in
cas
e fa
talit
y
y = 12.1 - 0.96x
Men
UG IF
FS UB AP FT
SN
IB
AN
FL
SP
US NZ
GB
GA
CA
IC
SG
FI
DN
BE
PT PW
RM
CN
RN
LT
CZ
YU
GE
0 10 20 300
Change in Equivalent Treatment Score
-50
-40
-30
-20
-10
0
10
20
30
40
50
0
Per
cent
age
chan
ge in
cas
e fa
talit
y
y = 7.8 - 0.8x
Women
G77a
FS
UG
SN UB
IB
AN
IF
US
SW NZ AP
IC
FT FL
CA
BE GB
SP
FI GA SG
DN
PW RM PT
CN
GE RN
CZ LT
YU
0 10 20 300
Change in Equivalent Treatment Score
-50
-40
-30
-20
-10
0
10
20
30
40
50
0
Per
cent
age
chan
ge in
cor
onar
y-ev
ent r
ate
y = 7.6 - 1.27x
Men
UG IF
FS
UB
AP FT
SN
IB
AN
FL
SP
US
NZ
GB GA
CA
IC
SG
FI
DN BE
PT PW
RM
CN
RN LT
CZ
YU
GE
0 10 20 300
Change in Equivalent Treatment Score
-50
-40
-30
-20
-10
0
10
20
30
40
50
0
Per
cent
age
chan
ge in
cor
onar
y-ev
ent r
ate
y = 9.0 - 1.14x
Women
G77b
FS
UG
SN
UB
IB
AN
IF
US
SW
NZ AP
IC
FT
FL
CA
BE GB
SP
FI
GA SG
DN PW
RM
PT
CN
GE
RN
CZ
LT
YU
0 10 20 300
Change in Equivalent Treatment Score
-50
-40
-30
-20
-10
0
10
20
30
40
50
0
Per
cent
age
chan
ge in
CH
D m
orta
lity
rate
y = 18.7 - 2.11x
Men
UG IF
FS
UB AP FT
SN
IB AN
FL
SP
US
NZ
GB
GA
CA
IC
SG
FI
DN
BE
PT
PW RM
CN
RN
LT
CZ
YU
GE
0 10 20 300
Change in Equivalent Treatment Score
-50
-40
-30
-20
-10
0
10
20
30
40
50
0
Per
cent
age
chan
ge in
CH
D m
orta
lity
rate
y = 13.5 - 1.69x
Women
G77c
end of presentation F-end of presentations