• No results found

Developing regional weight-for-age growth references to optimize age-based dosing of antimalarials

N/A
N/A
Protected

Academic year: 2020

Share "Developing regional weight-for-age growth references to optimize age-based dosing of antimalarials"

Copied!
17
0
0

Loading.... (view fulltext now)

Full text

(1)

WHO Western pacific and South-East Asian office

C

o

u

n

tr

y

St

u

d

y

n

am

e

Su

rv

e

y

p

e

ri

o

d

Sa

m

p

le

s

iz

e

e

n

tr

ie

s

u

se

d

St

u

d

y

d

e

si

gn

Sa

m

p

lin

g

m

e

th

o

d

A

d

d

iti

o

n

al

in

fo

rm

ati

o

n

Bangladesh DHS children '07 6150 5454 HS MRS PA

Bangladesh DHS women '07 10996 10865 HS MRS PA

Bhutan MICS '10 6457 6086 HS MRS PA

Bhutan STEPS ‘04 436 212 HS MRS

Burma MICS '00 14441 8423 HS MRS PA

Cambodia Montresor et al ‘95 4525 3228 Cs / SS /

HS S

Cambodia DHS children '10 8232 3797 HS MRS PA

Cambodia DHS women '11 18754 9335 HS MRS PA

India DHS children '05-06 51555 43523 HS MRS PA

India DHS women '05-06 124385 118804 HS MRS PA

India Brooker et al ‘85-04 2871 2868 Cs / SS RS

Indonesia Hall et al ? 2262 2262 Cs / SS RS Anaemia survey

Laos MICS '06 4204 4001 HS MRS PA

Nepal DHS children '10-11 5306 2346 HS MRS PA

Nepal DHS women '10-11 12674 6146 HS MRS PA

Philippines Leenstra et al ‘02-03 823 729 L S Base

Solomon STEPS ‘05-06 2180 1629 HS MRS

Thailand Guest et al ‘02-07 42917 31817 Cs / DSS MRS

Thailand MICS '05-06 9444 9103 HS MRS PA

Vanuatu MICS '07 1741 1304 HS MRS PA

Vanuatu STEPS ‘05 1540 1240 HS MRS

Vietnam Hall et al ? 3055 3055 Cs / SS RS Anaemia survey

(2)

St

u

d

y

n

am

e

(r

e

p

e

at

)

A

re

a

su

rv

e

ye

d

A

ge

r

an

ge

M

o

n

th

s,

Y

e

ar

s

A

ge

P

re

ci

si

o

n

(

%

)

D

ay

s,

M

o

n

th

s,

Y

e

ar

s

Se

x

F

e

m

al

e,

M

al

e

,

B

o

th

W

e

ig

h

t

(D

e

ci

m

al

s)

DHS children National 0-59M D 88 M 12 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 88 M 12 B 1*

STEPS National 25-64Y Y100 B 1

MICS National 0-59M D 82 M 18 B 1**

Montresor et al 3 villages & 19

communities all Y 100 B 0

DHS children National 0-59M D 75 M 25 B 1

DHS women National 15-49Y M 100 F 1

DHS children National 0-59M D 69 M 31 B 1

DHS women National 15-49Y M 100 F 1

Brooker et al ? 5-20Y Y 100 B 1*

Hall et al Rural schools 5-18Y Y 100 B 1*

MICS National 0-59M D 71 M 29 B 1

DHS children National 0-59M M 100 B 1

DHS women National 15-49Y M 100 F 1

Leenstra et al 3 villages Leyte 7-31Y M 100 B 1

STEPS National 25-64Y Y 100 B 1**

Guest et al National All D 78 M 7 Y 15 B 0

MICS National 0-59M D 99 M 1 B 1*

MICS National 0-59M D 97 M 3 B 1

STEPS National 25-64Y Y 100 B 0

Hall et al Rural schools 5-18Y Y 100 B 1**

(3)

WHO African Office (1)

C

o

u

n

tr

y

St

u

d

y

n

am

e

Su

rv

e

y

p

e

ri

o

d

Sa

m

p

le

s

iz

e

e

n

tr

ie

s

u

se

d

St

u

d

y

d

e

si

gn

Sa

m

p

li

n

g

m

e

th

o

d

A

d

d

iti

o

n

al

in

fo

rm

ati

o

n

Angola MICS ‘01 5663 5350 HS MRS PA

Benin DHS children ‘06 16075 13271 HS MRS PA

Benin DHS Women ‘06 17794 16779 HS MRS PA

Burkina Faso DHS children ‘10 15044 6667 HS MRS PA

Burkina Faso DHS Women ‘10 17087 8464 HS MRS PA

Burkina Faso MICS '06 5677 5054 HS MRS PA

Burkina Faso Sawadogo et al ‘02 4529 4525 Cs MPPS

Burkina Faso Martin-Prével PC ‘02 2235 2234 Cs MPPS Up

Burkina Faso Martin-Prével PC ‘02 658 491 Cs MPPS Up

Burkina Faso Savy et al ‘02 2631 2430 Cs MPPS Up

Burkina Faso Brooker et al ’96-04 2198 1190 Cs / SS RS PD

Burundi DHS children ‘10-11 7742 3479 HS MRS PA

Burundi DHS women ‘10-11 9389 4589 HS MRS PA

Burundi MICS '00 3325 2655 HS MRS PA

Cameroon DHS children ‘11 11732 5157 HS MRS PA

Cameroon DHS women ‘11 15426 7892 HS MRS PA

Cameroon MICS '06 6495 6079 HS MRS PA

Cameroon STEPS ‘04 9906 7616 HS MRS

Cameroon SPAQ trial ’04-05 687 673 L RS Up; Clinical trial

CAR DHS children ’94-95 2816 909 HS MRS PA

CAR DHS women ‘94-95 5884 921 HS MRS PA

CAR MICS '06 9820 9072 HS MRS PA

Chad DHS children ‘04 5635 4623 HS MRS PA

Chad DHS women ‘04 6085 3585 HS MRS PA

Chad MICS '00 5384 5230 HS MRS PA

Chad Brooker et al ‘96-04 1017 1017 Cs / SS RS PD

Comoros DHS children ‘96 1056 992 HS MRS PA

Comoros DHS women ‘96 3050 890 HS MRS PA

Comoros MICS '00 4870 4351 HS MRS PA

The Congo DHS children '05 4835 4047 HS MRS PA

The Congo DHS women '05 7051 6871 HS MRS PA

The Congo Martin-Prével ‘96 2182 2182 Cs CRS

The Congo Martin-Prével ‘96 848 848 Cs CRS

The Congo Martin-Prével ‘96 1605 1605 Cs CRS

The Congo Martin-Prével ‘96 3211 2915 Cs CRS

The Congo STEPS ‘04 2095 1752 HS MRS

Djibouti MICS ‘06 2565 2202 HS MRS PA

DRC DHS children '07 8992 3672 HS MRS PA

DRC DHS women '07 9995 4758 HS MRS PA

DRC MICS '10 11245 10796 HS MRS PA

DRC STEPS ‘05 2000 1589 HS MRS

Eritrea DHS children '03 11654 9852 HS MRS PA

Eritrea DHC women '03 16515 15997 HS MRS PA

Eritrea STEPS ‘04 2346 1575 HS MRS

(4)

St

u

d

y

n

am

e

(r

e

p

e

at

)

A

re

a

su

rv

e

ye

d

A

ge

r

an

ge

M

o

n

th

s,

Y

e

ar

s

A

ge

P

re

ci

si

o

n

(

%

)

D

ay

s,

M

o

n

th

s,

Y

e

ar

s

Se

x

F

e

m

al

e,

M

al

e

,

B

o

th

W

ei

gh

t

(D

e

ci

m

al

s)

MICS National 0-59M D99 M1 B 1

DHS children National 0-59M D 61 M 39 B 1*

DHS Women National 15-49Y M 100 F 1

DHS children National 0-59M D 44 M 56 B 1

DHS Women National 15-49Y M 100 F 1

MICS National 0-59M D 64 M 36 B 1***

Sawadogo et al 80 villages Gnagna 0-59M M 100 B 2

Martin-Prével PC 30 villages Gnagna 5-20Y Y 100 B 2

Martin-Prével PC 30 villages Gnagna Adults Y 100 M 1

Savy et al 30 villages Gnagna Adults Y 100 F 1

Brooker et al 8 schools Bazega 2-21Y Y 100 B 1

DHS children National 0-59M D 43 M 57 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 85 M 15 B 1*

DHS Children National 0-59M D 43 M 57 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 82 M 18 B 1

STEPS National 25-64Y Y 100 B 0***

SPAQ trial η 6-60M M 100 B 0***

DHS children National 0-36M D 82 Y 18 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 68 M 32 B 1

DHS children National 0-59M D 72 M 28 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 54 M 46 F 1

Brooker et al 20 schools, National 2-21Y Y 100 B 1

DHS children National 0-59M D 83 M 17 B 1*

DHS women National 15-49Y D 100 F 1*

MICS National 0-59M M 100 B 1**

DHS children National 0-59M D 83 M17 B 1

DHS women National 15-49Y M 100 B 1

Martin-Prével Brazzaville 0-59M M 100 B 2**

Martin-Prével Brazzaville 5-10Y M 100 B 1**

Martin-Prével Brazzaville 10-20Y M 100 B 1**

Martin-Prével Brazzaville Adults Y 100 B 1**

STEPS National 25-64Y Y 100 B 0***

MICS National 0-59M D 99 M 1 B 1

DHS Children National 0-59M D 40 M 60 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 82 M 18 B 1

STEPS National 25-64Y Y 100 B 1

DHS children National 0-59M D 82 M 18 B 1

DHC women National 15-49Y M 100 F 1

STEPS National 25-64Y Y 100 B 1**

(5)

C

o

u

n

tr

y

St

u

d

y

n

am

e

Su

rv

e

y

p

e

ri

o

d

Sa

m

p

le

si

ze

e

n

tr

ie

s

u

se

d

St

u

d

y

d

e

si

gn

Sa

m

p

lin

g

m

e

th

o

d

A

d

d

iti

o

n

al

in

fo

rm

ati

o

n

Gabon DHS women ‘00 6183 2795 HS MRS PA

The Gambia MICS '06 6641 6372 HS MRS PA

The Gambia Hawkesworth et al ‘06 1706 1706 Cs RCT α

The Gambia Davies PC ‘06 320 320 Cs S Up; β

The Gambia Fulford PC ‘00 943 943 Cs / DSS S Up; γ

The Gambia Bojang et al ’01-02 166 165 Cs S vaccine trial

Ghana DHS children ‘08 2992 2539 HS MRS PA

Ghana DHS women ‘08 4916 4842 HS MRS PA

Ghana MICS '06 3545 3381 HS MRS PA

Ghana Brooker et al ‘96-04 2198 2195 Cs / SS RS PD

Guinea DHS children ‘05 6364 2721 HS MRS PA

Guinea DHS women ‘05 7954 3965 HS MRS PA

Guinea Montresor et al ‘97 1356 1356 Cs / SS CRS PD

Guinea Bissau MICS ‘06 6570 5484 Cs MRS PA

Guinea Bissau Gustafson et al ‘99-01 1919 1767 CC S δ

Guinea Bissau Lundsby PC ‘06 726 481 ? / DSS ? Up

Guinea Bissau Lundsby PC ‘06 717 303 ? / DSS ? Up

Guinea Bissau Atopicity cohort ‘99 717 610 L ? Up

Ivory Coast DHS children ‘98-99 1992 1589 HS MRS PA

Ivory Coast DHS women ‘98-99 3040 3015 HS MRS PA

Ivory Coast MICS '06 8604 6686 HS MRS PA

Kenya Shanks et al ‘00 249 229 RCT s

Prophylaxis trial; HI

Kenya Woodruff et al ‘98 257 255 Cs S anaemia trial

Kenya Woodruff et al ‘98 135 134 Cs S anaemia trial

Kenya Handzel et al ‘01 1239 1226 HS RS π

Kenya DHS children ‘08-09 6079 5308 HS MRS PA

Kenya DHS women ‘08-09 8444 8362 HS MRS PA

Kenya MICS '00 7266 6686 HS MRS PA

Kenya STEPS ‘05 3691 1498 HS MRS

Kenya Friedman et al ‘97-99 883 883 L / SS MRS Base

Kenya Leenstra et al ‘98 322 322 RCT MRS ε

Kenya Leenstra et al ‘97-99 946 946 Cs / SS MRS / RS PD

Kenya KEMRI/CDC Kenya ‘07 1094 1091 Cs / SS SCS Up

Kenya Brooker et al ‘96-04 5527 5474 Cs / SS RS PD

Liberia DHS children '06-07 5799 4533 HS MRS PA

Liberia DHS women '06-07 7092 6970 HS MRS PA

Madagascar DHS children ‘03-04 5415 4675 HS MRS PA

Madagascar DHS women ‘08-09 17375 8400 HS MRS PA

Malawi DHS children ‘10 19967 4861 HS MRS PA

Malawi DHS women ‘10 23020 7656 HS MRS PA

Malawi MICS '06 23238 22261 HS MRS PA

Malawi Maleta et al ‘95-05 797 568 L S Cs at 10yrs

Mali Montresor et al ? 1195 1191 Cs S

Mali DHS children ‘06 14238 11465 HS MRS PA

Mali DHS women ‘06 14583 14293 HS MRS PA

(6)

St

u

d

y

n

am

e

(r

e

p

e

at

)

A

re

a

su

rv

e

ye

d

A

ge

r

an

ge

M

o

n

th

s,

Y

e

ar

s

A

ge

P

re

ci

si

o

n

(%

)

D

ay

s,

M

o

n

th

s,

Y

ea

rs

Se

x

F

e

m

al

e,

B

o

th

W

ei

gh

t

(D

e

ci

m

al

s)

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 99 M 1 B 1

Hawkesworth et al 30 villages, West Kiang 5-17Y D 100 B 1

Davies PC Keneba 18-29Y D 100 B 1

Fulford PC θ 10-30Y D 93 M 1 Y 6 B 2

Bojang et al Dampha Kunda 6-11Y D 100 B 1

DHS children National 0-59M D 84 M 16 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 89 M 11 B 1

Brooker et al ? 2-21Y Y 100 B 1

DHS children National 0-59M D 21 M 80 B 1

DHS women National 15-49Y M 100 F 1

Montresor et al 25 schools, 5 sub-prefectures 5-20Y Y 100 B 1

MICS National 0-59M D 91 M 9 B 1**

Gustafson et al Bissau >=6 Y 100 B 1***

Lundsby PC Bandim 27-87Y Y 100 B 1

Lundsby PC Bandim 31-63Y Y 100 B 1

Atopicity cohort Bissau 25-36Y Y 100 B 0

DHS children National 0-59M D 70 M 30 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 87 M 13 B 1*

Shanks et al Western province 18-55Y Y 100 B 1***

Woodruff et al Kakuma refugee camp 10-19Y Y 100 B 1

Woodruff et al Kakuma refugee camp 10-19Y Y 100 B 1

Handzel et al 32 primary schools, Asembo 10-12Y Y 100 B 1***

DHS children National 0-59M D 88 M 12 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 92 M 8 B 1

STEPS National 25-64Y Y 100 B 0***

Friedman et al Asembo 5-20Y Y 100 B 1

Leenstra et al 10 schools, Kisumu 10-18Y Y 100 F 1

Leenstra et al Western province 12-19Y Y 100 F 1

KEMRI/CDC Kenya Asembo Bay region 7-15Y D 100 B 0*

Brooker et al 78 schools national 2-21Y Y 100 B 1***

DHS children National 0-59M D 78 M 22 B 1

DHS women National 15-49Y M 100 F 1

DHS children National 0-59M D 79 M 21 B 1*

DHS women National 15-49Y M 100 F 1**

DHS children National 0-59M D 25 M 75 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 97 M 3 B 1

Maleta et al Lungwena 10Y D 100 B 1

Montresor et al 2 villages 6-19Y D 100 B 1

DHS children National 0-59M D 55 M 45 B 1*

DHS women National 15-49Y M 100 F 1

(7)

WHO African Office (3)

C

o

u

n

tr

y

St

u

d

y

n

am

e

Su

rv

e

y

p

e

ri

o

d

Sa

m

p

le

s

iz

e

e

n

tr

ie

s

u

se

d

St

u

d

y

d

e

si

gn

Sa

m

p

li

n

g

m

e

th

o

d

A

d

d

iti

o

n

al

in

fo

rm

ati

o

n

Mali Brooker et al ‘96-04 393 393 Cs / SS RS PD

Mauritania MICS '07 8981 8247 HS MRS PA

Mauritania STEPS ’03 '06 2644 1971 HS MRS

Mozambique DHS children ‘03 10326 8248 HS MRS PA

Mozambique DHS women ‘03 12418 11734 HS MRS PA

Mozambique MICS '08 11818 10765 HS MRS PA

Mozambique Brooker et al ‘96-04 995 995 Cs / SS RS PD

Namibia DHS children ‘06-07 5168 3815 HS MRS PA

Namibia DHS women '06-07 9804 9561 HS MRS PA

Niger DHS children '06 9193 3831 HS MRS PA

Niger DHS women '06 9223 4548 HS MRS PA

Niger MICS '00 5080 4862 HS MRS PA

Nigeria DHS children ‘08 28647 22959 HS MRS PA

Nigeria DHS women ‘08 33385 32504 HS MRS PA

Nigeria MICS '07 17093 16156 HS MRS PA

Rwanda DHS children ‘10-11 9002 4102 HS MRS PA

Rwanda DHS women ‘10-11 13671 6959 HS MRS PA

Rwanda MICS '06 3154 2804 HS MRS PA

Sao Tome DHS children '08-09 1931 1637 HS MRS PA

Sao Tome DHS women '08-09 2615 2391 HS MRS PA

Sao Tome MICS '00 2208 1740 HS MRS PA

Senegal DHS children ‘10-11 12326 3875 HS MRS PA

Senegal DHS women ‘10-11 15688 5758 HS MRS PA

Senegal MICS '00 9064 8605 HS MRS PA

Senegal Montresor et al ? 625 507 Cs S

Senegal Simondon et al ‘95 2902 2902 Cs / DSS S Nutritional survey

Sierra Leone DHS children '08 5631 2259 HS MRS PA

Sierra Leone DHS women '08 7374 3547 HS MRS PA

Sierra Leone MICS '10 8798 8281 HS MRS PA

Swaziland DHS children '06-07 2812 2098 HS MRS PA

Swaziland DHS women '06-07 4987 4861 HS MRS PA

Swaziland MICS ‘10 2711 2557 HS MRS PA

Tanzania Montresor et al ? 1114 901 Cs S

Tanzania DHS children ‘10 8023 6893 HS MRS PA

Tanzania DHS women ‘10 10139 10048 HS MRS PA

(8)

St

u

d

y

n

am

e

(r

ep

e

at

)

A

re

a

s

u

rv

e

ye

d

A

ge

r

an

ge

M

o

n

th

s,

Y

e

ar

s

A

ge

P

re

ci

si

o

n

(

%

)

D

ay

s,

M

o

n

th

s,

Y

e

ar

s

Se

x

F

em

al

e

,

B

o

th

W

e

ig

h

t

(D

e

ci

m

al

s)

Brooker et al 5 schools, Sikasso 2-21Y Y 100 B 1

MICS National 0-59M D 45 M 55 B 1

STEPS National 25-64Y D 16 Y 84 B 1**

DHS children National 0-59M D 82 M 18 B 1

DHS women National 15-49Y M 100 F 1

MICS National D 96 M 4 B 1

Brooker et al ι 2-21Y Y 100 B 1

DHS children National 0-59M D 75 M 25 B 1

DHS women National 15-49Y M 100 F 1

DHS children National 0-59M D 24 M 76 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 52 M 48 B 1

DHS children National 0-59M D 77 M 23 B 1*

DHS women National 15-49Y M 100 F 1*

MICS National 0-59M D 62 M 38 B 1**

DHS children National 0-59M D 45 M 55 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 85 M 15 B 1**

DHS children National 0-59M D 92 M 8 B 1**

DHS women National 15-49Y M 100 F 1**

MICS National 0-59M D 92 M 8 B 1***

DHS children National 0-59M D 25 M 75 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 67 M 33 B 1*

Montresor et al 2 villages >=1Y Y 100 B 0

Simondon et al Niakhar study area 10-17Y D 100 B 1

DHS children National 0-59M D 40 M 60 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 77 M 23 B 1

DHS children National 0-59M D 76 M 24 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 97 M 3 B 1

Montresor et al 1 village >=2Y Y 100 B 0

DHS children National 0-59M D 88 M 12 B 1

DHS women National 15-49Y M 100 F 1

(9)

C

o

u

n

tr

y

St

u

d

y

n

am

e

Su

rv

e

y

p

er

io

d

Sa

m

p

le

s

iz

e

e

n

tr

ie

s

u

se

d

St

u

d

y

d

e

si

gn

Sa

m

p

lin

g

m

e

th

o

d

A

d

d

iti

o

n

al

in

fo

rm

ati

o

n

Tanzania Ndossi et al ‘05 904 904 Cs MRS Nutritional survey

Tanzania Cordeiro et al ‘04 691 653 HS MRS

Tanzania Lukmanji et al ‘04-05 1872 1632 Cs MRS Vitamin A survey

Tanzania Brooker et al ‘96-04 9547 9547 Cs / SS RS PD

Togo DHS children ‘98 4168 3741 HS MRS PA

Togo DHS women ‘98 8569 3730 HS MRS PA

Togo MICS '06 4154 3949 HS MRS PA

Uganda DHS children '11 7878 2090 HS MRS PA

Uganda DHS women '11 8674 2711 HS MRS PA

Zambia DHS children '07 6401 5382 HS MRS PA

Zambia DHS women '07 7146 7055 HS MRS PA

Zambia MICS '00 6142 4279 HS MRS PA

Zambia Brooker et al ‘96-04 686 686 Cs / SS RS PD

Zimbabwe DHS children '10-11 5563 4402 HS MRS PA

Zimbabwe DHS women '10-11 9171 8791 HS MRS PA

Zimbabwe MICS '09 7499 6242 HS MRS PA

α) Children from mothers of 2 pregnancy supplementation trials; Jarjou et al , Ceesay at al β) Keneba antenatal scheme follow-up;

γ) Individuals visiting clinic

δ) TB case-control study; controls only ε) Iron supplementation trial

ζ) Caretakers accompanying child to malaria clinic η) South West, Centre, North Provinces

θ) Keneba, Manduar, Kanton, Kundah ι) 21 schools in Marromeu, Xai-Xai, Bilene ω) Ilala District, Dar es Salaam; Shari, Kilimanjaro λ) Multiple schools in Beasley, Mwanza, Tanga

μ) 89 schools, Eastern, Southern provinces

ξ) National Statistics Office

(10)

St

u

d

y

n

am

e

(r

e

p

e

at

)

A

re

a

su

rv

e

ye

d

A

ge

r

an

ge

M

o

n

th

s,

Y

e

ar

s

A

ge

P

re

ci

si

o

n

(

%

)

D

ay

s,

M

o

n

th

s,

Y

e

ar

s

Se

x

F

e

m

al

e,

B

o

th

W

ei

gh

t

(D

e

ci

m

al

s)

Ndossi et al Temeke district, Dar Es Salaam 0-59M M 100 B 1

Cordeiro et al Kilosa District 10-19Y M 100 B 2

Lukmanji et al Zanzibar 6-59M M 100 B 1

Brooker et al λ 2-21Y Y 100 B 1

DHS children National 0-59M D 77 M 23 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 78 M 22 B 1*

DHS children National 0-59M D 26 M 74 B 1

DHS women National 15-49Y M 100 F 1

DHS children National 0-59M D 87 M 13 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 100 B 1

Brooker et al μ 2-21Y Y 100 B 1***

DHS children National 0-59M D 83 M 17 B 1

DHS women National 15-49Y M 100 F 1

(11)

WHO Office of the Americas

C

o

u

n

tr

y

St

u

d

y

n

am

e

Su

rv

e

y

p

e

ri

o

d

Sa

m

p

le

s

iz

e

e

n

tr

ie

s

u

se

d

St

u

d

y

d

e

si

gn

Sa

m

p

li

n

g

m

e

th

o

d

A

d

d

iti

o

n

al

in

fo

rm

ati

o

n

Belize MICS ‘06 796 730 HS MRS PA

Bolivia DHS children ‘08 8605 7786 HS MRS PA

Bolivia DHS women ‘08 16939 16467 HS MRS PA

Brazil DHS children ‘96 5045 4330 HS MRS PA

Brazil DHS women ‘96 12612 3529 HS MRS PA

Brazil IBGE ‘02- 03 182333 39837 HS MRS Nutritional survey

Colombia DHS children ’09-10 17756 15906 HS MRS PA

Colombia DHS women ’09-10 53521 49648 HS MRS PA

Dominican Rep. DHS children ‘07 11149 9437 HS MRS PA

Dominican Rep. DHS women ‘96 8422 8022 HS MRS PA

Dominican Rep. MICS ‘00 1997 1888 HS MRS PA

El Salvador FESAL ‘02-03 30567 9358 HS MRS Family health survey

Guatemala ENSMI ‘02 28731 15203 HS MRS PA

Guatemala DHS children ‘98-99 4943 4015 HS MRS PA

Guatemala DHS women ‘98-99 6021 2750 HS MRS PA

Guyana DHS children ‘09 2178 1719 HS MRS PA

Guyana DHC women ‘09 4996 4764 HS MRS PA

Guyana MICS ‘06 2541 2302 HS MRS PA

Haiti DHS children ’05-06 6015 2561 HS MRS PA

Haiti DHS women ’05-06 10757 5258 HS MRS PA

Honduras DHS children ’05-06 10800 9339 HS MRS PA

Honduras DHS women ’05-06 19948 19265 HS MRS PA

Honduras ENESF ‘01 29715 9645 Cs SS PA

Nicaragua DHS children ‘01 6986 6094 HS MRS PA

Nicaragua DHS women ‘01 13060 12671 HS MRS PA

Peru DHS children ’05-08 17189 10488 HS MRS PA

Peru DHS women ’05-08 41648 27256 HS MRS PA

(12)

St

u

d

y

n

am

e

(r

e

p

e

at

)

A

re

a

su

rv

e

ye

d

A

ge

r

an

ge

M

o

n

th

s,

Y

e

ar

s

A

ge

P

re

ci

si

o

n

(%

)

D

ay

s,

M

o

n

th

s,

Y

e

ar

s

Se

x

F

em

al

e

,

M

al

e

,

B

o

th

W

ei

gh

t

(D

e

ci

m

al

s)

MICS National 0-59M D 99 M 1 B 1

DHS children National 0-59M D 94 M 6 B 1*

DHS women National 15-49Y M 100 F 1*

DHS children National 0-59M D 86 M 14 B 1*

DHS women National 15-49Y M 100 F 1*

IBGE National All D 100 B 1***

DHS children National 0-59M D 89 M 11 B 1

DHS women National 15-49Y M 100 F 1

DHS children National 0-59M D 86 M 14 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 97 M 3 B 1

FESAL National 0-6, 15-49Y D 100 B 1

ENSMI National 0-5, 15-49Y D 100 B 1

DHS children National 0-59M D 83 M 17 B 1*

DHS women National 15-49Y M 100 F 1

DHS children National 0-59M D 84 M 16 B 1

DHS women National 15-49Y M 100 F 1

MICS National 0-59M D 99 M 1 B 1

DHS children National 0-59M D 43 M 57 B 1

DHS women National 15-49Y M 100 F 1

DHS children National 0-59M D 94 M 6 B 1

DHS women National 15-49Y M 100 F 1

ENESF National 0-6, 15-49Y D 100 B 1

DHS children National 0-59M D93 M7 B 1

DHS women National 15-49Y M 100 F 1

DHS children National 0-59M D 66 M 34 B 1

DHS women National 15-49Y M 100 F 1

(13)

WHO Eastern Mediterranean and Europe Offices

C

o

u

n

tr

y

St

u

d

y

n

am

e

Su

rv

e

y

p

er

io

d

Sa

m

p

le

s

iz

e

e

n

tr

ie

s

u

se

d

St

u

d

y

d

e

si

gn

Sa

m

p

li

n

g

m

e

th

o

d

A

d

d

iti

o

n

al

in

fo

rm

ati

o

n

Armenia DHS children ‘05 1430 1299 HS MRS PA

Armenia DHS women ‘05 6430 6304 HS MRS PA

Azerbaijan MICS ‘00 1890 1791 HS MRS PA

Egypt DHS children ‘05 13851 13174 HS MRS PA

Egypt DHS women ‘05 19474 19284 HS MRS PA

Kyrgyzstan DHS children ‘97 1127 995 HS MRS PA

Kyrgyzstan DHS women ‘97 3848 3783 HS MRS PA

Morocco DHS children ‘03-04 6180 5685 HS MRS PA

Morocco DHS women ‘03-04 16798 16645 HS MRS PA

Turkey DHS children ‘03 3565 4154 HS MRS PA

Turkey DHS women ‘03 8576 3289 HS MRS PA

Uzbekistan DHS children ‘02 1324 1098 HS MRS PA

(14)

St

u

d

y

n

am

e

(r

ep

e

at

)

A

re

a

su

rv

e

ye

d

A

ge

r

an

ge

M

o

n

th

s,

Y

ea

rs

A

ge

P

re

ci

si

o

n

(%

)

D

ay

s,

M

o

n

th

s,

Y

ea

rs

Se

x

F

em

al

e

,

M

al

e

,

B

o

th

W

e

ig

h

t

(D

e

ci

m

al

s)

DHS children National 0-59M D 100 B 1***

DHS women National 15-49Y M 100 F 1*

MICS National 0-59M D 99 Y 1 B 1*

DHS children National 0-59M D 93 M 7 B 1

DHS women National 15-49Y M 100 F 1

DHS children National 0-59M D 98 M 2 B 1*

DHS women National 15-49Y M 100 F 1**/***

DHS children National 0-59M D 96 M 4 B 1***

DHS women National 15-49Y M 100 F 1***

DHS children National 0-59M D 80 M 20 B 1

DHS women National 15-49Y M 100 F 1

DHS children National 0-59M D 99 M 1 B 1**

(15)

Abbreviations

(16)

1.

Montresor A, Odermatt P, Muth S, Iwata F, Raja'a YA, Assis AM, et al. The WHO dose pole for

the administration of praziquantel is also accurate in non-African populations. Trans R Soc Trop Med

Hyg. 2005;99(1):78-81.

2.

Hall A, Bobrow E, Brooker S, Jukes M, Nokes K, Lambo J, et al. Anaemia in schoolchildren in

eight countries in Africa and Asia. Public Health Nutr. 2001;4(3):749-56.

3.

Leenstra T, Coutinho HM, Acosta LP, Langdon GC, Su L, Olveda RM, et al. Schistosoma

japonicum reinfection after praziquantel treatment causes anemia associated with inflammation. Infect

Immun. 2006;74(11):6398-407.

4.

Guest P, Jampaklay A. Report of Round 4 Census (2003) / Philip Guest and Aree Jampaklay.

Nakhonpathom: 2005.

5.

Sawadogo PS, Martin-Prevel Y, Savy M, Kameli Y, Traissac P, Traore AS, et al. An infant and

child feeding index is associated with the nutritional status of 6- to 23-month-old children in rural

Burkina Faso. The Journal of nutrition. 2006;136(3):656-63.

6.

Savy M, Martin-Prevel Y, Sawadogo P, Kameli Y, Delpeuch F. Use of variety/diversity scores

for diet quality measurement: relation with nutritional status of women in a rural area in Burkina Faso.

Eur J Clin Nutr. 2005;59(5):703-16.

7.

Brooker S, Clements AC, Hotez PJ, Hay SI, Tatem AJ, Bundy DA, et al. The co-distribution of

Plasmodium falciparum and hookworm among African schoolchildren. Malar J. 2006;5:99.

8.

Martin-Prével Y. Étude des changements nutritionnels dans un milieu urbain africain en période

de crise et d'ajustements économique: l'exemple de Brazzaville (Congo). Paris: l'Université Paris 6;

2001.

9.

Hawkesworth S, Prentice AM, Fulford AJ, Moore SE. Maternal protein-energy supplementation

does not affect adolescent blood pressure in The Gambia. Int J Epidemiol. 2009;38(1):119-27.

10.

Bojang KA, Olodude F, Pinder M, Ofori-Anyinam O, Vigneron L, Fitzpatrick S, et al. Safety and

immunogenicty of RTS,S/AS02A candidate malaria vaccine in Gambian children. Vaccine.

2005;23(32):4148-57.

11.

Montresor A, Engels D, Chitsulo L, Bundy DA, Brooker S, Savioli L. Development and

validation of a 'tablet pole' for the administration of praziquantel in sub-Saharan Africa. Trans R Soc

Trop Med Hyg. 2001;95(5):542-4.

12.

Gustafson P, Lisse I, Gomes V, Vieira CS, Lienhardt C, Naucler A, et al. Risk factors for

positive tuberculin skin test in Guinea-Bissau. Epidemiology. 2007;18(3):340-7.

13.

Shanks GD, Oloo AJ, Aleman GM, Ohrt C, Klotz FW, Braitman D, et al. A new primaquine

analogue, tafenoquine (WR 238605), for prophylaxis against Plasmodium falciparum malaria. Clin

Infect Dis. 2001;33(12):1968-74.

14.

Woodruff BA, Blanck HM, Slutsker L, Cookson ST, Larson MK, Duffield A, et al. Anaemia,

iron status and vitamin A deficiency among adolescent refugees in Kenya and Nepal. Public Health

Nutr. 2006;9(1):26-34.

15.

Handzel T, Karanja DM, Addiss DG, Hightower AW, Rosen DH, Colley DG, et al. Geographic

distribution of schistosomiasis and soil-transmitted helminths in Western Kenya: implications for

anthelminthic mass treatment. Am J Trop Med Hyg. 2003;69(3):318-23.

16.

Leenstra T, Kariuki SK, Kurtis JD, Oloo AJ, Kager PA, ter Kuile FO. The effect of weekly iron

and vitamin A supplementation on hemoglobin levels and iron status in adolescent schoolgirls in

western Kenya. Eur J Clin Nutr. 2009;63(2):173-82.

(17)

18.

Leenstra T, Petersen LT, Kariuki SK, Oloo AJ, Kager PA, ter Kuile FO. Prevalence and severity

of malnutrition and age at menarche; cross-sectional studies in adolescent schoolgirls in western Kenya.

Eur J Clin Nutr. 2005;59(1):41-8.

19.

Leenstra T, ter Kuile FO, Kariuki SK, Nixon CP, Oloo AJ, Kager PA, et al.

Dehydroepiandrosterone sulfate levels associated with decreased malaria parasite density and increased

hemoglobin concentration in pubertal girls from western Kenya. J Infect Dis. 2003;188(2):297-304.

20.

Maleta K, Virtanen S, Espo M, Kulmala T, Ashorn P. Timing of growth faltering in rural

Malawi. Arch Dis Child. 2003;88(7):574-8.

21.

Simondon KB, Simon I, Simondon F. Nutritional status and age at menarche of Senegalese

adolescents. Ann Hum Biol. 1997;24(6):521-32.

22.

Simondon KB, Simondon F, Simon I, Diallo A, Benefice E, Traissac P, et al. Preschool stunting,

age at menarche and adolescent height: a longitudinal study in rural Senegal. Eur J Clin Nutr.

1998;52(6):412-8.

23.

Aspray TJ, Mugusi F, Rashid S, Whiting D, Edwards R, Alberti KG, et al. Rural and urban

differences in diabetes prevalence in Tanzania: the role of obesity, physical inactivity and urban living.

Trans R Soc Trop Med Hyg. 2000;94(6):637-44.

24.

Ndossi GD. Tanzania Mainland Nutrition Survey 2005 (TMNS 2005). The Tanzania Food and

Nutrition Centre (TFNC), 2005.

25.

Cordeiro L. Household Food Security, Nutritional Status, and Sexual Behaviors among

Adolescents (10-19 years) in Kilosa District, Tanzania: Tufts University Gerald J. and Dorothy R.

Friedman School of Nutrition Science and Policy; 2007.

26.

Lukmanji Z. Vitamin A status, growth, anemia and their corellates among children 6-59 months

in Zanzibar. Ifakara Health Research and Development Centre (IHRDC) 2005 JUNE. Report No.

27.

. !!! INVALID CITATION !!!

28.

(IBGE) IBdGeE. esquisa de Orçamento Familiar , Antropometria e análise do estado nutricional

de crianças e adolescentes no Brasil, 2002-2003. Rio de Janeiro: Instituto Brasileiro de Geografia e

Estatística (IBGE). 2006.

29.

(ADS) SDA. National Family Health Survey - FESAL 2002–2003. San Salvador: Salvadoran

Demographic Association (ADS), 2002-2003.

30.

Ministerio de Salud Pública y Asistencia Social UdV, Centers for Disease Control and

Prevention. Encuesta Nacional de Salud Materno Infantil, 2002 (ENSMI-2002). Ministerio de Salud

Pública y Asistencia Social, 2002.

References

Related documents

To determine the effect of deletions of the 4 human candidate genes (XPO1, USP34, REL, and BCL11A) and of 2 additional genes (FANCL and VRK2) from a CNV in a patient (case 2) with

This result is shown from the mediator test conducted, which is the C effect; and D has a significant value, while effect A which is an indirect influence

The Switches in DMTL phase shifter in up and down conditions altered the impedance of the line which change the return loss of the CPW.. Impedance mismatch in DMTL

The purpose of this course is to enable students to develop knowledge and skills specified in individual and dual sports and to maintain health related fitness. The content

In addition to phytoceramide, yeast-derived sphingoid bases and authentic PHS and DHS treatment activated PPARs (Figure 5C), while ceramide and dihydrocera- mide treatment did

Data-driven decision making, popularized in the 1980s and 1990s, is evolving into a vastly more sophisticated concept known as big data that relies on software approaches

Before discussing the focus of this study, it is important to understand the wind structure of a tropical cyclone. Schematic shown in Figure 1 is the typical wind strength