IFPRI Country Representative for Bangladesh Dr. Akhter Ahmed presents BIHS panel data at the Nutrition Policy Roundtable on Improving Diets to Achieve the Sustainable Development Goal.
Presented by Lini Wollenberg, CCAFS, on 28 June 2021 at the Asian Development Bank (ADB) Webinar on Sustainable Protein Case Study: Outputs and Synthesis of Results.
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According to the Bangladesh water act, 2013 wetland defines as "Wetland means any land where water remains at the level of surface or close to it and which inundates with shallow water from time to time, and where grows such plants that may usually grow and survive in marsh land." Rivers, floodplains, haor, baor, beel, jheel, ponds, low-lying places, etc. are commonly thought of as wetlands in Bangladesh. Wetlands also refer to inlands that flood periodically and coastal regions where water is deposited owing to tidal effect.
Presentation by Ethiopia - experiences with mainstreaming biodiversity and de...OECD Environment
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Changes in climate affects the land and farming immensely. Due to this,the crop growth is affected and results in inadequacy of seasonal crop outcome which does not meet the demands of the living beings. Hence, Climatic change has become a chief issue to be looked forth in order to prevent further threatenings to the livelihood. I have made a gist of the existing issue on climate changes and the insecurities of food resources in India.
Presented by Lini Wollenberg, CCAFS, on 28 June 2021 at the Asian Development Bank (ADB) Webinar on Sustainable Protein Case Study: Outputs and Synthesis of Results.
Wetland Restoration, Rehabilitation & Management Strategies for Conservation ...Sezan Sakawat
A wetland is an ecosystem characterized by the presence of water, either permanently or seasonally. It covered by various geographical areas, including coastal areas, inland regions, and even also arid environments.
The definition of the Ramsar Convention is:
“Wetlands are areas of marsh, fen, peat land or water, whether natural or artificial, permanent or temporary, with water that is static or flowing, fresh, brackish or salt, including areas of marine water the depth of which at low tide does not exceed six meters”
According to the Bangladesh water act, 2013 wetland defines as "Wetland means any land where water remains at the level of surface or close to it and which inundates with shallow water from time to time, and where grows such plants that may usually grow and survive in marsh land." Rivers, floodplains, haor, baor, beel, jheel, ponds, low-lying places, etc. are commonly thought of as wetlands in Bangladesh. Wetlands also refer to inlands that flood periodically and coastal regions where water is deposited owing to tidal effect.
Presentation by Ethiopia - experiences with mainstreaming biodiversity and de...OECD Environment
Presentation by Dr. Gemedo Dalle at OECD side-event ‘Mainstreaming Biodiversity and Development’ at CBD COP 13: Experiences with mainstreaming biodiversity and development in Ethiopia
Changes in climate affects the land and farming immensely. Due to this,the crop growth is affected and results in inadequacy of seasonal crop outcome which does not meet the demands of the living beings. Hence, Climatic change has become a chief issue to be looked forth in order to prevent further threatenings to the livelihood. I have made a gist of the existing issue on climate changes and the insecurities of food resources in India.
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Malnutrition in India-Background and solutions proposedRohen Agrawal
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Malnutrition in India-Background and solutions proposedRohen Agrawal
Despite India's 50% increase in GDP since 1991, more than one third of the world's malnourished children live in India. Among these, half of them under 3 are underweight and a third of wealthiest children are over-nutriented. The World Bank estimates that India is one of the highest ranking countries in the world for the number of children suffering from malnutrition. The presentation proposes how this problem of malnourishment can be eliminated from India.
IFPRI Country Representative for Bangladesh Dr. Akhter Ahmed presents panel data from IFPRI's Bangladesh Integrated Household Survey (BIHS) in New Delhi, India.
POSHAN District Nutrition Profile_Boudh_OdishaPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Bhojpur_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Purnia_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Sheohar_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Gopalganj_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Vaishali_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Jajpur_OdishaPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Nabarangpur_OdishaPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Sitamarhi_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Madhubani_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Deogarh_OdishaPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Balangir_OdishaPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Samastipur_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Nalanda_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Jagatsinghpur_OdishaPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
POSHAN District Nutrition Profile_Khagaria_BiharPOSHAN
POSHAN District Nutrition Profiles (DNPs) draw on diverse sources of data to compile a set of indicators on the state of nutrition and its cross-sectoral determinants. The profiles are intended to be conversation-starters at the district level and to enable discussions about why undernutrition levels are high, and which factors, at multiple levels, might need to be addressed to improve nutrition.
PLEASE NOTE that POSHAN is regularly tracking data sources as they are released and updating the profiles accordingly.
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IFPRI-Bangladesh "Dietary Patterns and Healthy Diets: What is Needed to Close the Gaps?"
1. Dietary Patterns and Healthy Diets:
What is Needed to Close the Gaps?
Akhter Ahmed
Country Representative for Bangladesh
International Food Policy Research Institute
Nutrition Policy Roundtable on Improving Diets to Achieve the
Sustainable Development Goal
CIRDAP | Dhaka | 21 November 2017
1
2. Analysis used data from BIHS
Bangladesh Integrated Household Survey (BIHS) conducted
by IFPRI under USAID-funded Policy Research and Strategy
Support Program (PRSSP) is most comprehensive, nationally
representative rural household survey to date. Largest panel
survey.
4 unique features of data collection:
1. plot-level agricultural production
2. individual food intakes of all HH members
3. anthropometry measurements of all HH members
4. data to measure women’s empowerment in
agriculture index (WEAI)
BIHS sampling is statistically representative
nationally of rural Bangladesh
rural areas for each of the 7 administrative divisions
USAID-supported Feed the Future Zone in southern
Bangladesh 2
3. Overwhelming dominance of rice in diet
Share of nutrient from rice of total nutrient intake
3
71
57
62
44
78
67
70
52
63
46
52
36
0
10
20
30
40
50
60
70
80
90
Food energy (calorie) Protein Zinc Iron
Percentageoftotalnutrientintake
All Poorest 20% Richest 20%
4. Most farmers grow one crop – Rice
4
54.4
20.1
12.5
5.9
3.9
51.0
0
10
20
30
40
50
60
1 2 3 4 5 Only rice
Percentageoffarmers
Number of crops grown in 2011
6. Desirable dietary patterns and actual food intakes
Gaps reduced from 2011/12 to 2015
Group Food
Desirable daily
intake
(gram/person)a
Actual daily
intake in 2012
(gram/person) b
Actual daily
intake in 2015
(gram/person) b
1 Rice 350 495 442
2 Wheat & other cereals 50 31 37
3 Pulses 50 10 15
4 Fish 60 64 57
5 Poultry & meat 40 20 22
6 Egg 30 5 10
7 Milk & milk products 130 20 36
8 Fruits 100 10 35
9 Leafy vegetable 100 38 41
10 Non-leafy vegetable 200 200 187
11 Potato 100 116 106
12 Cooking oil 30 21 26
13 Sugar/Gur/ Molasses 20 8 6
14 Spices 20 7 6
Source a: Desirable Dietary Patters (DDP) 2013
Source b: IFPRI BIHS 2011/12 and 2015
7. Frequency of food groups consumed in past 7
days increased on average
7
7.0 6.9
1.6
1.2
1.6
4.8
6.9
2.7
7.0 7.0
2.3
2.1
2.4
5.5
6.9
3.5
0
1
2
3
4
5
6
7
8
Numberofdayseachfoodgroupwasconsumedin
past7days
2011/12 Baseline 2015 Midline
8. Proportion of people who have not consumed
food groups in past 7 days declined
Average food consumption frequency hides severity
8
0.0 0.4
43.8
52.0
65.2
4.5
0.8
41.2
0.0 0.0
29.3
23.0
47.4
2.4
0.2
23.9
0
10
20
30
40
50
60
70
Percentageofpeoplewithoutconsumption
offoodgroupinpast7days
2011/12 Baseline 2015 Midline
9. Calculation of the WFP Food Consumption
Score to measure diet quality
(# of days consumed of each food group in past 7 days, weighted by
“nutritional importance”)
9
10. Household diet quality is worse for the poor,
but quality improved for all
(using WFP’s Food Consumption Score: 0-112)
10
42.3
50.5
55.5
62.7
71.0
56.4
52.6
61.4
67.0
72.7
79.7
66.7
0
10
20
30
40
50
60
70
80
90
1st Quintile
(Poorest)
2nd Quintile 3rd Quintile 4th Quintile 5th Quintile
(Richest)
All
FoodConsumptionScore
Average FCS
2011/12 Baseline 2015 Midline
12. 12
76.8
1.5 0.8 2.0 2.3 1.7
3.8
0.4
73.1
2.2 2.0 2.3 3.9
1.8
3.9
0.6
0
20
40
60
80
Rice Wheat Maize Pulses Oilseeds Potatoes Vegetables Bananas
Totalcroppedarea(%)
2012 2015
Share of rice decreased and non-rice food crops
increased in total cropped area: 2012 to 2015
13. Evidence from IFPRI research in Bangladesh
Increased agricultural diversity improves household dietary
diversity (Sraboni et al. 2014)
Increased women’s empowerment in agriculture (measured by
WEAI) helps
Improve household, child, and maternal dietary diversity;
(Sraboni et al. 2014) and
Increase agricultural diversity (Ahmed & Sraboni 2014)
Nutrition behavior change communication (BCC) training for
women and men improves household diet quality, child
nutrition and complementary feeding practices (TMRI: Ahmed
et al. 2016; A&T: Menon et al. 2016).
14. Policy considerations
Improve diet quality:
Develop value chains for nutrient-dense foods
Promote nutrition knowledge among consumers, farmers,
and women and men
Add nutrition BCC to social protection programs
Promote agricultural diversity:
Reduce risk of high-value, high nutritive value food
production via contract farming, agricultural credit, etc.
Create an enabling policy environment for the private
sector for agricultural value chains development
Support women’s empowerment:
Women’s empowerment in agriculture improves dietary
diversity, increases agricultural diversity, and helps
households move out of poverty (IFPRI 2016).
14
15. For more information, contact: Akhter Ahmed
a.ahmed@cgiar.org | Mobile: 01760744486
Thank you
15