Addressing women and children’s nutrition – measures of food intake and nutritional status discusses indicators to measure the impact of programs on women and children's nutrition. It presents a conceptual framework showing the multiple factors that influence nutrition outcomes. Commonly used individual indicators are described such as dietary diversity scores, anthropometry, and knowledge/attitudes. Methods for collecting data on women's and children's dietary intake and diversity are outlined. The document advocates for using dietary diversity measures as they provide a simple proxy for nutrient adequacy. It also discusses desirable "do no harm" indicators and presents examples of how to measure the impact of agriculture and aquaculture interventions on nutrition.
Presented by Muntita Hambayi
Presented at Report Launch "Mapping Linkages Between Agriculture, Food Security and Nutrition in Malawi"
Ufulu Gardens, 28th April, 2015
POSHAN District Nutrition Profile_Subarnapur_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_Sambalpur_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_Kalahandi_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_Nayagarh_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.
Presented by Muntita Hambayi
Presented at Report Launch "Mapping Linkages Between Agriculture, Food Security and Nutrition in Malawi"
Ufulu Gardens, 28th April, 2015
POSHAN District Nutrition Profile_Subarnapur_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_Sambalpur_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_Kalahandi_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_Nayagarh_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_Nuapada_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_Malkanagiri_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_Keonjhar_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_Mayurbhanj_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.
An assessment of adolescent eating habits in public schools of chak shahzad, ...Zubia Qureshi
Abstract: Eating patterns influence the nutritional status, health, learning process and academic performance of the school children. This study was conducted to explore the food availability at school canteens and food intake by adolescents in break period. A cross sectional study was conducted on 290 adolescents (145 were girls and 145 boys) of 6th, 7th and 8th grade from public schools of Chak Shahzad, Islamabad. Pre-structured questionnaire was used for data collection. Chi square / fisher exact test was done by using SPSS to check the association. The mean age of adolescents was 12.6 ± 1.33 years. They were reported normal, underweight, overweight and obese as 176 (60.7%), 79 (27.2%), 27 (9.3%) and 9 (2.8%) respectively. Nutritional status was significantly related with gender, age and grade of adolescents with p-value <0.05. Response showed that 199 (68.6%) adolescents prefer canteen food during break time, and 66 (22.8%) give preference to homemade lunch. Few of them 25 (8.6%) take fruits in school break time. About (24.8%) took drink with lunch which were juices 30 (10.3%), milk/milk shake 14 (5.9%), carbonated drinks 6 (2.1%), and tea/coffee 13 (4.5%). Consumption of carbohydrates, protein, fruits, vegetables, and dairy products was found as 64 (22.1%), 26 (0.9%), 32 (11%), 4 (1.4%) and 1 (0.3%) respectively in adolescents who brought their lunch from home. Around 49% of students were not satisfied with food provided on their school canteens. Availability of food items on school canteens and overall eating pattern of adolescents is not satisfactory. There is a need of school canteen guidelines/policy and nutritional education to canteen staff and pupils.
Keywords: School Canteen, Pakistan, Eating Habits, Adolescents
POSHAN District Nutrition Profile_Ganjam_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_Puri_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_Khordha_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_Koraput_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_Baragarh_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_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.
This was done as a student presentation using photographs & content from various web sites & textbooks on the assumption of fair usage for studying & is for NON-COMMERCIAL purposes.
POSHAN District Nutrition Profile_Kendrapara_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_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_Dhenkanal_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.
Brooke Krause is a Ph.D. Candidate in Applied Economics at the University of Minnesota and recipient of the Women’s Empowerment in Agriculture Doctoral Dissertation Fellowship. She has an MS degree in Applied Economics from the University of Wisconsin - Madison and a BS in Economics, International Studies, and Latin American Studies from University of Wisconsin - Madison. Her research interests are in international development, with emphases on education, health and gender. She has worked internationally in Costa Rica, Dominican Republic, Guatemala, Tanzania, and Uganda. In addition to her dissertation work on women’s empowerment and child health knowledge, she studies youth entrepreneurship training programs in East Africa as the lead quantitative research assistant on a six-year-long evaluation.
Presentation: Women's Empowerment, Participation in Information Networks, and Child Health Knowledge in Highland Guatemala
Abstract: Using primary data collected in the Guatemalan highlands, this paper analyzes how a woman's empowerment impacts her ability to participate in health information networks and, thus, her knowledge of child health. This paper conceptualizes empowerment using the WEAI, specifically focusing on a woman's decision-making influence over household expenditures; agricultural production; income generated from agricultural production; productive capital and assets; and credit. The findings suggest that increased women's empowerment increases participation in both formal and informal health information networks. Increased empowerment has implications for increasing a woman's capability to participate in informal networks, including family, friends and neighbors, and improve her social support network. The results furthermore show that an increase in participation in more formal networks of knowledge -- such as trained medical professionals, books or brochures -- is what leads to more accurate child health knowledge.
The pdf of the PowerPoint presentation Prof Prabhu Pingali used for his Distinguished Lecture at the Institute of Economic Growth on Monday, 10 March 2014.
POSHAN District Nutrition Profile_Nuapada_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_Malkanagiri_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_Keonjhar_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_Mayurbhanj_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.
An assessment of adolescent eating habits in public schools of chak shahzad, ...Zubia Qureshi
Abstract: Eating patterns influence the nutritional status, health, learning process and academic performance of the school children. This study was conducted to explore the food availability at school canteens and food intake by adolescents in break period. A cross sectional study was conducted on 290 adolescents (145 were girls and 145 boys) of 6th, 7th and 8th grade from public schools of Chak Shahzad, Islamabad. Pre-structured questionnaire was used for data collection. Chi square / fisher exact test was done by using SPSS to check the association. The mean age of adolescents was 12.6 ± 1.33 years. They were reported normal, underweight, overweight and obese as 176 (60.7%), 79 (27.2%), 27 (9.3%) and 9 (2.8%) respectively. Nutritional status was significantly related with gender, age and grade of adolescents with p-value <0.05. Response showed that 199 (68.6%) adolescents prefer canteen food during break time, and 66 (22.8%) give preference to homemade lunch. Few of them 25 (8.6%) take fruits in school break time. About (24.8%) took drink with lunch which were juices 30 (10.3%), milk/milk shake 14 (5.9%), carbonated drinks 6 (2.1%), and tea/coffee 13 (4.5%). Consumption of carbohydrates, protein, fruits, vegetables, and dairy products was found as 64 (22.1%), 26 (0.9%), 32 (11%), 4 (1.4%) and 1 (0.3%) respectively in adolescents who brought their lunch from home. Around 49% of students were not satisfied with food provided on their school canteens. Availability of food items on school canteens and overall eating pattern of adolescents is not satisfactory. There is a need of school canteen guidelines/policy and nutritional education to canteen staff and pupils.
Keywords: School Canteen, Pakistan, Eating Habits, Adolescents
POSHAN District Nutrition Profile_Ganjam_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_Puri_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_Khordha_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_Koraput_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_Baragarh_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_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.
This was done as a student presentation using photographs & content from various web sites & textbooks on the assumption of fair usage for studying & is for NON-COMMERCIAL purposes.
POSHAN District Nutrition Profile_Kendrapara_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_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_Dhenkanal_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.
Brooke Krause is a Ph.D. Candidate in Applied Economics at the University of Minnesota and recipient of the Women’s Empowerment in Agriculture Doctoral Dissertation Fellowship. She has an MS degree in Applied Economics from the University of Wisconsin - Madison and a BS in Economics, International Studies, and Latin American Studies from University of Wisconsin - Madison. Her research interests are in international development, with emphases on education, health and gender. She has worked internationally in Costa Rica, Dominican Republic, Guatemala, Tanzania, and Uganda. In addition to her dissertation work on women’s empowerment and child health knowledge, she studies youth entrepreneurship training programs in East Africa as the lead quantitative research assistant on a six-year-long evaluation.
Presentation: Women's Empowerment, Participation in Information Networks, and Child Health Knowledge in Highland Guatemala
Abstract: Using primary data collected in the Guatemalan highlands, this paper analyzes how a woman's empowerment impacts her ability to participate in health information networks and, thus, her knowledge of child health. This paper conceptualizes empowerment using the WEAI, specifically focusing on a woman's decision-making influence over household expenditures; agricultural production; income generated from agricultural production; productive capital and assets; and credit. The findings suggest that increased women's empowerment increases participation in both formal and informal health information networks. Increased empowerment has implications for increasing a woman's capability to participate in informal networks, including family, friends and neighbors, and improve her social support network. The results furthermore show that an increase in participation in more formal networks of knowledge -- such as trained medical professionals, books or brochures -- is what leads to more accurate child health knowledge.
The pdf of the PowerPoint presentation Prof Prabhu Pingali used for his Distinguished Lecture at the Institute of Economic Growth on Monday, 10 March 2014.
Does nutrition education improve complementary feeding practices and mothers nutrition knowledge? A case study of Western Kenya presented by Jacqueline Kipkorir PhD Student,, Kenyatta University
Find out more about this research:
http://www.bioversityinternational.org/news/detail/improving-nutrition-through-local-agricultural-biodiversity-in-kenya/
Core disciplines in agriculture-nutrition-health research: NutritionILRI
Presented by Jody Harris, Paula Dominguez and Dominic Rowland at the Agriculture, Nutrition and Health (ANH) Academy Week, Addis Ababa, Ethiopia, 20-24 June 2016.
Junk Food Consumption is a Nutrition Problem among Infants and Young Children: Evidence and Program Considerations for Low and Middle Income (LMIC) Countries (MCSP Presentation)
"OptiFood - Future Approach to Improve Nutrition Programme Planning and Policy Decisions in SE Asia" from the Regional Conference on Micronutrient Fortification of Foods 2013 (10 ~ 11 October 2013 in Bangkok, Thailand)
Community-based educational Intervention improved the diversity of complementary diets in Western Kenya. Community-based educational intervention improved the diversity of complementary diets in Western Kenya: results from a randomized control trial improving the diversity of complementary diets in Western Kenya. Presentation by Lydiah M. Waswa: PhD Student, Justus Liebig University- Giessen
Find out more about this research:
http://www.bioversityinternational.org/news/detail/improving-nutrition-through-local-agricultural-biodiversity-in-kenya/
Supplementary nutritional programmes in indiaDrBabu Meena
This presentation was made to describe the scarcity of food in the country and to teach about the steps taken by the government. This decribes about the various nutritional supplementation progammes in the India, their advantage and disadvantages.
A Conversation with the Dean of the Tufts School of Human Nutrition. 9-17-15 Recording here: https://www.dropbox.com/s/8qly017hyhct6ut/Darius%20Tufts%20Nutrition%20Talk.m4a?dl=0
Presentation made at a two-day workshop "Stepping up to India’s Nutrition Challenge: The Critical Role of Policy Makers" for district administrators from India’s Aspirational Districts, on 6-7 Aug 2018, at Mussoorie.
Contribution of indigenous fruits and vegetables to dietary diversity and qua...Bioversity International
Presentation given by Dr. Bruce Cogill at the International Horticultural Congress 2014.
The world has a historically unprecedented abundance of food, though contemporary food systems face numerous new challenges from population growth, natural resource
depletion, and rapid dietary transitions away from diverse, locally-sourced and sustainable mix of foods towards diets dominated by homogenous, highly-processed, energy-dense, and animal-source foods The alarming increase in diet and lifestyle-related non-communicable diseases (NCDs) alongside persistent poverty and undernutrition demands a reassessment of dietary choices, guidelines, policies and programmes.
This presentation presents 5 case studies on the contribution of diverse foods, particularly indigenous fruits and vegetables, to culturally-acceptable, cost-effective, sustainable, and nutritious diets.
Read more about our work on diet diversity for nutrition and health here: http://www.bioversityinternational.org/research-portfolio/diet-diversity/
Understanding sustainable diets - Four papers, three published in high impact peer-reviewed journals, further our understanding of sustainable diets. Find out more here: http://www.bioversityinternational.org/news/detail/understanding-sustainable-diets/
ICN2-Diet Matters: Approaches and Indicators to Assess Agriculture's Role in ...FAO
Diet Matters:Approaches and Indicators to Assess Agriculture's Role in Nutrition
By Diego Rose, Brian Luckett, and Adrienne Mundorf
School of Public Health & Tropical Medicine
Tulane University
Nourishing Children Sustainably Using Locally Prepared Complementary Foods by...Peace Chiamaka Ezekwem
Dietary Care for infants and young children is very crucial for growth and development. Commercial food products has become increasingly expensive due to inflation and cost of production. How can be nourish these little ones with readily available and healthy staples?
A dietitian's perspective...
Cost of Diets - assessing the potential contribution of agricultural biodiver...Bioversity International
Bioversity International researcher Céline Termote spoke about her research on the Cost of Diets at Tropentag 2014 that took place in Czech Republic.
In her presentation she spoke about a modeling tool to assess the potential contribution of agricultural biodiversity to nutritious diets at affordable cost, highlighting a particular case study from eastern Baringo District, Kenya.
Learn more: http://www.bioversityinternational.org/fileadmin/user_upload/online_library/publications/pdfs/Role_of_wild__neglected_and_underutilized_foods_in_reducing_the_cost_of_a_nutritionally_Poster_1595_01.pdf
Similar to Day 1 Session 5 Harris and Kennedy_ Indicators (20)
Value Chains for Nutrition in Rural India: investigating barriers among womenAg4HealthNutrition
A4NH and IFPRI Gender Task Force seminar on “Value Chains for Nutrition in Rural India: Investigating barriers to fruit and vegetable consumption among women of reproductive age” presented by Sarah Kehoe, Senior Research Fellow Medical Research Council Lifecourse Epidemiology Unit (MRC LEU), University of Southampton, UK
Measuring Infant and Young Child Complementary Feeding PracticesAg4HealthNutrition
In this presentation, Dr. Marie Ruel, Director of the Poverty, Health, and Nutrition Division of the International Food Policy Research Institute (IFPRI) tackles the important issue of how to measure infant and young child feeding practices, as they relate to child nutrition. She explains indicators, current practices, and research gaps. Dr. Ruel also serves as leader of the research flagship on integrated nutrition programs and policies for the CGIAR Research Program on Agriculture for Nutrition and Health (A4NH), led by IFPRI. This presentation was delivered at the 87th Nestle Nutrition Institute Workshop in Singapore May 8-11, 2016.
For more information on child nutrition research, please visit ifpri.org or a4nh.cgiar.org.
Training Session 4 – Raneri – Adapting the Gender Norms Case Study for NutritionAg4HealthNutrition
Training Session 4: Global Study on Gender Norms and Capacities to Innovate in Agriculture
Jessica Raneri
Adapting the Gender Norms Case Study for Nutrition
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Day 1 Session 5 Harris and Kennedy_ Indicators
1. Addressing women and children’s
nutrition – measures of food intake
and nutritional status
Gina Kennedy and Jody Harris
Bioversity International and IFPRI
6 December, 2013
2. National
economic
growth
National
nutrition
profile
Environmental
contaminants
or vectors
Food market environment
Agricultural Production
Household assets and livelihoods
Food
production &
gathering
Health
environment
Individual diet
Food prices
and
availability
Natural resources
Production
diversity
diversity
Target nutrient
consumption
Processing
& storage
Target food
consumption
Food Household
Food access
expenditure security
food
Agricultural Consumption
income / Expenditure
Health care
Non-food
expenditure
Women’s
Women’s Empowerment
empowerment in Ag Index
Household
Enabling
environment
Caring capacity
& practices
Diet
Health status
Infant and
young child
feeding
Time use
Female energy
expenditure
Nutrition and health knowledge
Child
nutrition
outcomes
Anthropometry /
biomarkers
Mother’s
nutrition
outcomes
Energy
expenditure
Individual
Knowledge /
attitudes
3. Commonly used individual indicators
Indicator
Relationship to Food Security
Examples of Commonly used
indicators
Individual Dietary Diversity and
Frequency
Ability of the diet of the diet to meet energy
and micronutrient needs
Individual Dietary Diversity Score (IDDS)
Minimum Dietary Diversity (MDD)
% Consuming target foods
% Meeting Requirements for Nutrients
Knowledge and attitudes
Provides important information on barriers
or optimizers related to dietary practices
Knowledge on nutritious foods
Attitudes toward good/bad foods for
children
Anthropometry
Outcome indicators of multiple factors
Stunting, Underweight Wasting
Body Mass Index
Desirable “ Do No Harm” Indicators
Provides important desirable information
often related to “ do no harm”
Breastfeeding
Minimum meal Frequency
Women’s energy expenditure
4. Individual dietary intakes
• FOOD and DIET are THE KEY areas for agnutrition pathway
• Womens’ dietary diversity
• Infant and young child dietary diversity
(Minimum Dietary Diversity)
• 24 hour recall/Food frequency
5. Rationale for development of individual dietary diversity
Quantitative dietary assessment cumbersome and
difficult
need for a simple proxy of intake
Objective of dietary diversity
provide tools to produce relevant and dietary intake
information related to diet particularly at
decentralized level
the collection of information on diet is meant to
complement other indicators related to food security,
health and nutritional status; thereby forming a suite
of relevant indicators
6. INDIVIDUAL DIETARY DIVERSITY
SCORES
• Sum of food groups consumed over
the past 24 hours
–Women’s Dietary Diversity Score
–Minimum Dietary Diversity of children
6-23 months of age
8. Method of data collection –
Women’s dietary diversity
• Use open recall questionnaire form
• When open recall is finished go through food
group list and mark “1” next to food groups
consumed
• For any blank food group ask respondent if any
food from this group was consumed the previous
day. Mark “1” for yes and “0” for no
• Use tabulation sheet or computer program for
WDD 9* food groups
9. Dietary Diversity (open)
“Please describe the foods (meals and snacks)
that you ate yesterday during the day and
night, whether at home or outside the home.
Start with the first food eaten in the morning.
After the respondent tells you about the first thing they had to
eat of drink, ask about what they ate or drank next. Write
down all food and drinks mentioned by the respondent. When
the respondent has finished, probe for meals and snacks not
mentioned. If they had tea or coffee ask if there was milk or
sugar added. Ask the respondent to mention the ingredients of
any mixed dishes.
10.
11. Food Group
1
Starchy Staples
2
Dark green leafy vegetables
3
Other vitamin A rich vegetables and
fruits
4
Other fruits and vegetables
5
Organ meat
6
Eggs
7
Meat and Fish and other seafood
8
Legumes, nuts and seeds
9
DDS record “1” yes
“0” no
Milk and milk products
Sum above for WDDS
Oils and fats
Sweets, candy , sugar
Spices, condiments
Alcoholic beverages
12. Calculation of WDDS
• Sum the total number of food groups out of nine
consumed during the 24 hour recall period
• Score range 0-9
• Calculate average WDDS
• Analyze frequency of food group consumption
• CAN MODIFY TOOL FOR TARGET FOODS
14. Minimum Dietary Diversity (MDD)
• The indicator is meant to reflect the quality of
the complementary food diet of infants and
young children 6-23 months of age
15. Data collection for MDD
• A standardized questionnaire can be
downloaded from WHO (IYCF) indicators
• Data collected on children 6-23 months of age
• Could be disaggregated by boys/girls
• Breastfeeding status and child age also need to
be collected for correct calculation of the
indicator
17. Strengths of DD measures
• Simple to administer
• Quick to analyze
• Have undergone robust validation as
proxy indicators for micronutrient
adequacy of the diet
18. DD measures recently recommended
Masset, Haddad Cornelius & Isaza-Castro, 2012
Review of effectiveness of agriculture interventions that
aim to improve nutritional status of children
“Indices of diversity of the diet should be used to assess
the effect on production and dietary composition”
Headey and Ecker, 2012
“dietary diversity indicators have substantial scope to add
more value to food security measurement, especially if
they can be refined and improved, rendered more
comparable across populations and measured more
frequently over time”
19. Dietary diversity tools are useful in programmes and
initiatives where a primary or secondary objective is to
improve the diet of the beneficiary population
• Agriculture, Fishery, Forestry programmes
▫ Crop diversification/integration
▫ Promotion of indigenous plant and animal foods
• Cross-cutting issues
• Food security and nutrition programmes
▫
▫
▫
▫
Sustainable livelihood support and diversification
Programmes in HIV affected areas
Food-based nutrition programmes
Nutrition education
The cost will be marginal !
▫ Gender
▫ HIV/AIDS
▫ Right to Food
20. Quantitative food intake
(target nutrient consumption and
women’s energy intakes)
• Quantitative 24 hour recalls can be used to
assess intakes of energy, protein, fat and
micronutrients
▫ Requires high level skills in training, supervision
of data collection and analysis
▫ Special equipment (weighing scales, recipes, food
composition tables)
21. Additional Infant and young child
indicators
• These and fall under “ Do no harm” principle
• Minimum meal frequency
• Breastfeeding
• SEE WHO GUIDELINES
23. Anthropometry in children and adults
Children
• STUNTING: height-for-age < -2 standard deviations of the WHO Child
Growth Standards Median (chronic malnutrition)
• WASTHING: weight-for-height < -2 standard deviations of the WHO
Child Growth Standards Median (acute malnutrition)
• UNDERWEIGHT: weight-for-age < -2 standard deviations of the WHO
Child Growth Standards Median (global malnutrition)
Adults
Body Mass Index (BMI)
• Requires specialized training of enumerators
• Special equipment, height board/ weighing scales
24.
25. Anthropometric data can be obtained from:
- WHO GLOBAL DATABASE
- http://www.who.int/nutgrowthdb/en/
- National nutrition surveys
- Nutritional monitoring/surveillance
- (e.g. IFAD, WFP monitoring systems)
- Demographpic and Health and (DHS) and Multiple
Indicator Cluster (MICS) surveys
26. Biochemical indicators
• To assess if the program actually changed
micronutrient status of the population a
biochemical marker such as serum retinol or
hemoglobin can be used
▫ REQUIRES BLOOD SAMPLE AND ADDITIONAL
LEVELS OF ETHICAL CLEARANCE
27. EXAMPLES OF KAP INDICATORS
Short to medium term indicators
Knowledge
Attitudes
Practices
Percent of mothers who can
identify three local foods
rich in vitamin A
Example
Percent of mothers who
think eggs are a good
source of food for children
Example
Percent of children 6-23
Example
months fed an iron-rich
food source the previous
day
28. Food Insecurity Scales and Seasonality
• Household Food Insecurity Access Scale
(HFIAS)
• Household Hunger Scale (HHS)
• Coping Strategies Index (CSI) and Reduced CSI
• Others (ECLSA and FIES)
• Months of Inadequate HH food provisioning
29. Additional indicators of interest
• Child morbidity (see DHS for example
questions)
• Water and sanitation sources
• Socio-economic indicators
▫ Some form of wealth index
• Level of education (men and women)
• Literacy (men and women)
30. Aquaculture - Nutrition Linkages
Bangladesh: Case Study
Shakuntala Haraksingh Thilsted
Senior Nutrition Scientist
31. Bangladesh has made great strides in
aquaculture in the past 25 years
Focus on:
•
•
•
•
Production and productivity
Large fish
Men in aquaculture
Household income
32. Nutrition sensitive household pond aquaculture
Production Technology:
• Polyculture of Carps (large fish)
and Nutrient-rich Small Fish,
carried out by both men and
women
Focus on:
• Partial Frequent Harvesting of
Small Amounts of Small Fish
• Household Consumption,
especially in Women and Young
Children
• Sale of Carps for Household
Income
• Additional Diversification
strategies
33. Small Fish
Irreplaceable Animal-source
Food
Rich Source of Multiple Nutrients
Animal Protein
Essential Fats
Essential Micronutrients:
Minerals and Vitamins
Common Food eaten with Rice
Adds Flavour and Taste to the Meal
Improves Diet Diversity
Enhances Mineral Bioavailability from
Foods in the Meal
Cooked with Vegetables, Oil and Spices,
further Improving Diet Diversity, Adding
Nutrients and Growth-promoting
Substances
Processed (dried), Stored - Prolonging
Duration of Consumption, Reaching
Non-fish Producing Areas
34. Promotion of Orange Fleshed Sweet Potato
(OFSP)
• Suitable for small areas homestead gardens and dykes
• Requires minimal labour,
fertilizer and pesticides; grows
well in marginal soils
• Leaves and roots are
consumed
• Valuable in times of food
scarcity and natural disasters
• Vines are easily preserved by
households for planting in
subsequent season
35. M/E Indicators
• Increased production
• Increase Consumption of Target Food (Small fish) – Quantity, Frequency
and by Target Groups (Women and young children)
• Men and women in decision-making and work load sharing in production
• Women’s work load
• Intra-household food allocation
• Men’s purchase of foods (Knowledge and Practices)
36. Zero Sum Game? Gender and Work Load
Is it embarrassing for a man to help with
household work?
100%
90%
80%
70%
60%
Strongly Disagree
50%
Disagree
40%
Agree
Strongly Agree
30%
20%
10%
0%
Husband
Wife
Mother-in-law
Helen Keller International (HKI) 2012
38. 38
How to choose indicators…?
• Which pathway(s) is your program trying to address?
• Which of the boxes along that pathway (or any
intermediate steps not adequately captured there) can
you feasibly measure?(As many as possible!)
• What (preferably validated) tools and metrics exist to
measure each of these?
• In what way will each of these need to be adapted to your
particular context (without losing the validity of the tool)?
• How does the totality of your indicators build a picture of
how your agriculture program is affecting food and
diets/nutrition?