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Malnutrition in the OIC Member

Countries: A Trap for Poverty

COMCEC

Overweight affects 5.9% of children in Tajikistan. More generally, obesity affects 30% of

women of reproductive age (38% in urban areas), with rates increasing in recent years.

Cardiovascular diseases are responsible for 39% of all deaths in Tajikistan. Overweight among

children is more common when their mothers are educated (6.1% against 3.6%) and when

they belong to the third and fourth richest groups. Regional variations are extremely

pronounced, with overweight being very low in GBAO (1.1%) and very high in Sughd (11.8%).

Table 17: Breakdown of Malnutrition Indicators by Key Characteristics, Tajikistan 2012

Stunting

Wasting

Overweight

Sex: Male

25.5

9.9

6.1

Sex: Female

26.8

10

5.6

Residence: Urban

21.4

9.9

5.5

Residence: Rural

27.4

9.9

6

Education (2 groups): No education or

primary

27.6

13.5

3.6

Education (2 groups): Secondary or

higher

25.9

9.5

6.1

Wealth quintile: Lowest

32.1

9.5

4.3

Wealth quintile: Second

29

10.9

3.3

Wealth quintile: Middle

23.4

9.6

7.4

Wealth quintile: Fourth

24.9

10.5

8. 1

Wealth quintile: Highest

20.9

9

6.4

Region: Dushanbe

18.9

10.3

5.4

Region: GBAO

24.3

8. 1

1.1

Region: Sughd

27.2

8.4

11 . 8

Region: DRS

26.3

9.8

4.3

Region: Khatlon

26.9

11 . 1

3

Mean

26.2

9.9

5.9

Source:

1CF International,

2015.

The DHS

Program STATcompiler.

Funded by

USA1D.

http://www.statcompHer.com.

October 19 2016

Trends in Malnutrition

Figure 36 d

isplays the evolution of child malnutrition between 1999 and 2012, based on the

Joint Malnutrition Estimates. One can see that while chronic malnutrition (stunting, anaemia)

have gone down over the entire period, acute malnutrition and overweight are roughly at the

same level of prevalence at the end of the period than they were at the beginning.

The rate of stunting has gone down from 41.5% in 1999 to 26.8% in 2012, which corresponds

to a decline of 55%; or 1.13 percentage point per year. The evolution has not been steady,

however, with stunting alternating periods of increase and decrease. A local health expert

described the trends in malnutrition reduction as a “sinusoidal” function, which was attributed

to dependence on migration and remittances. The reduction in malnutrition rates were seen in

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