Drivers of Food Choice (DFC) Dataverse

The Drivers of Food Choice (DFC) Competitive Grants Program (2015-2020) aimed to facilitate, synthesize and disseminate research to provide a deep understanding of the drivers of food choice among the poor in low- and middle-income countries. The DFC portfolio consists of 15 sub-awards across 10 countries. This research is funded by the Bill and Melinda Gates Foundation and the UK Government’s Foreign, Commonwealth & Development Office. For more information, please visit https://driversoffoodchoice.org.

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31 to 40 of 51 Results

Pile sort data Sep 30, 2020 - Drivers of Food Choice Among Overweight Mothers and Children in Malawi Dataverse Flax, Valerie, 2020, "Pile sort data", https://doi.org/10.7910/DVN/6H8DQR, Harvard Dataverse, V1, UNF:6:1KcFq52+aLXxMjdXN0+Qwg== [fileUNF] Women who participated in the in-depth interviews were given 12 different factors that could be related to food choice and asked to divide them into piles that sometimes, always, or never influence their food choices. The pile sorts were conducted during both the rainy and dry seasons.
Observation data Sep 30, 2020 - Drivers of Food Choice Among Overweight Mothers and Children in Malawi Dataverse Flax, Valerie, 2020, "Observation data", https://doi.org/10.7910/DVN/T31QQ9, Harvard Dataverse, V1, UNF:6:JQzFbKxNVi5fLIGiwne4jA== [fileUNF] We conducted observations with a subset of participants in the dry and rainy seasons. In the dry season, an interviewer accompanied each woman on a food shopping trip and recorded the types, quantities, costs, and reasons for purchase. In the rainy season, an interviewer observed the types of food available in the household, the weight, value, and...
Drivers of Food Choice Among Overweight Mothers and Children in Malawi Dataverse(RTI International; University of Malawi; Harvard University) Sep 30, 2020 This was a mixed methods study to identify and explain predictors of dietary intake and food choice among Malawian mother-child dyads (N=274) containing an overweight mother, child (6 months-5 years), or both. Dyads were divided by urban/rural location and were followed longitudinally during the rainy and dry seasons. In each season, we used questi...
Oil Palm and Diets in Indonesia: Papua Sep 16, 2020 - CIFOR Harvested Dataverse Ickowitz, A.; Utami, M.M.H.; Purwestri, R.C.; Powell, B.; Rowland, D.; Wirawan, N.N.; Waliyo, E.; Lamanepa; Maxi; Habibie, Y., 2020, "Oil Palm and Diets in Indonesia: Papua", https://doi.org/10.17528/CIFOR/DATA.00245, Center for International Forestry Research (CIFOR) The dataset is comprised of survey data collected in Jayapura-Kerom and Merauke (Papua). Data included here are from household surveys with female heads of households and include socio-demographic information, information on health, agricultural practices, food source information, asset ownership, dietary intake based on 24-hour dietary recall of m... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Replication Data for: Nudging children toward healthier food choices: an experiment combining school and home gardens Aug 23, 2020 - Healthier food choices in Nepal Schreinemachers, Pepijn, 2020, "Replication Data for: Nudging children toward healthier food choices: an experiment combining school and home gardens", https://doi.org/10.7910/DVN/VNLWCB, Harvard Dataverse, V1, UNF:6:lQUiR3llydZdCQ8swDDrXw== [fileUNF] These data were used to evaluate the impact of a combined school and home garden program in Nepal on a range of outcomes with the primary outcome being the frequency of vegetable consumption. The dataset contains survey data collected from children (aged 8-12 years old) and their caregivers. Data were collected from 15 treatment and 15 control scho...
Dietary transitions in Ghana(Univ. of Ghana, Univ. of Health and Allied Sciences - Ghana, Univ. of Sheffield, Univ. of Liverpool, Loughborough Univ., CIRAD, IRD) Jun 30, 2020 [Objective] Mapping the factors in the social and physical food environments that drive consumption of energy dense nutrient-poor (EDNP) foods and beverages, to identify interventions targeting women and adolescent girls throughout the reproductive life course. [Description] Africa is currently experiencing rapid change partly driven by increasing...
Behavioral experiment data on food choice in eastern India Jun 3, 2020 - IRRI Drivers of Food Choice Ynion, Jhoanne; Custodio, Marie Claire; Samaddar, Arindam; Ray (Chakravarti), Anindita; Demont, Matty, 2020, "Behavioral experiment data on food choice in eastern India", https://doi.org/10.7910/DVN/NFJZ7Z, Harvard Dataverse, V2, UNF:6:ZjJVuFtwpCFZ5AoURx0syg== [fileUNF] A behavioral experiment was conducted with households belonging to urban and rural low- and middle-income classes in West Bengal, India. Invited households (both husband and wife) were given a chance to express their food choice by creating their optimal meal portfolio using an offline Windows-based interactive food choice application (FCA) uploade...
Field notes and interview guides for the study "In the mood for snack food: drivers of food choice among children and caregivers in post-earthquake Nepal" May 20, 2020 - Healthier food choices in Nepal Schreinemachers, Pepijn, 2020, "Field notes and interview guides for the study "In the mood for snack food: drivers of food choice among children and caregivers in post-earthquake Nepal"", https://doi.org/10.7910/DVN/BXQERY, Harvard Dataverse, V1 This entry contains anonymized field notes and interview guides used for the study.
Healthier food choices in Nepal(World Vegetable Center) May 20, 2020 This dataverse contains data, study plans and data collection tools used by the project "Nudging children towards healthier food choices: an experiment combining school and home gardens", which is part of the Drivers of Food Choice program.
List of dishes and ingredients from expert elicitation workshop conducted in eastern India (2017) Mar 16, 2020 - IRRI Drivers of Food Choice Ynion, Jhoanne; Samaddar, Arindam; Mohanty, Suva Kanta; Cuevas, Rosa Paula; Custodio, Marie Claire; Demont, Matty, 2020, "List of dishes and ingredients from expert elicitation workshop conducted in eastern India (2017)", https://doi.org/10.7910/DVN/CRQFBO, Harvard Dataverse, V3, UNF:6:TRNnXOYA8UDX5vaZprwyow== [fileUNF] Food experts (i.e., nutritionists, food scientists, restaurant holders, and home scientists) identified a maximum of 20 most important dishes per occasion--1) breakfast, 2) morning snacks, 3) lunch, 4) afternoon snacks, and 5) dinner, 6) special occasion) in West Bengal and Odisha, India. The target population is households in the low and middle-in...

Pile sort data

Sep 30, 2020 - Drivers of Food Choice Among Overweight Mothers and Children in Malawi Dataverse

Flax, Valerie, 2020, "Pile sort data", https://doi.org/10.7910/DVN/6H8DQR, Harvard Dataverse, V1, UNF:6:1KcFq52+aLXxMjdXN0+Qwg== [fileUNF]

Women who participated in the in-depth interviews were given 12 different factors that could be related to food choice and asked to divide them into piles that sometimes, always, or never influence their food choices. The pile sorts were conducted during both the rainy and dry seasons.

Observation data

Sep 30, 2020 - Drivers of Food Choice Among Overweight Mothers and Children in Malawi Dataverse

Flax, Valerie, 2020, "Observation data", https://doi.org/10.7910/DVN/T31QQ9, Harvard Dataverse, V1, UNF:6:JQzFbKxNVi5fLIGiwne4jA== [fileUNF]

We conducted observations with a subset of participants in the dry and rainy seasons. In the dry season, an interviewer accompanied each woman on a food shopping trip and recorded the types, quantities, costs, and reasons for purchase. In the rainy season, an interviewer observed the types of food available in the household, the weight, value, and...

Drivers of Food Choice Among Overweight Mothers and Children in Malawi Dataverse(RTI International; University of Malawi; Harvard University)

Sep 30, 2020

This was a mixed methods study to identify and explain predictors of dietary intake and food choice among Malawian mother-child dyads (N=274) containing an overweight mother, child (6 months-5 years), or both. Dyads were divided by urban/rural location and were followed longitudinally during the rainy and dry seasons. In each season, we used questi...

Oil Palm and Diets in Indonesia: Papua

Sep 16, 2020 - CIFOR Harvested Dataverse

Ickowitz, A.; Utami, M.M.H.; Purwestri, R.C.; Powell, B.; Rowland, D.; Wirawan, N.N.; Waliyo, E.; Lamanepa; Maxi; Habibie, Y., 2020, "Oil Palm and Diets in Indonesia: Papua", https://doi.org/10.17528/CIFOR/DATA.00245, Center for International Forestry Research (CIFOR)

The dataset is comprised of survey data collected in Jayapura-Kerom and Merauke (Papua). Data included here are from household surveys with female heads of households and include socio-demographic information, information on health, agricultural practices, food source information, asset ownership, dietary intake based on 24-hour dietary recall of m...

This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

Replication Data for: Nudging children toward healthier food choices: an experiment combining school and home gardens

Aug 23, 2020 - Healthier food choices in Nepal

Schreinemachers, Pepijn, 2020, "Replication Data for: Nudging children toward healthier food choices: an experiment combining school and home gardens", https://doi.org/10.7910/DVN/VNLWCB, Harvard Dataverse, V1, UNF:6:lQUiR3llydZdCQ8swDDrXw== [fileUNF]

These data were used to evaluate the impact of a combined school and home garden program in Nepal on a range of outcomes with the primary outcome being the frequency of vegetable consumption. The dataset contains survey data collected from children (aged 8-12 years old) and their caregivers. Data were collected from 15 treatment and 15 control scho...

Dietary transitions in Ghana(Univ. of Ghana, Univ. of Health and Allied Sciences - Ghana, Univ. of Sheffield, Univ. of Liverpool, Loughborough Univ., CIRAD, IRD)

Jun 30, 2020

[Objective] Mapping the factors in the social and physical food environments that drive consumption of energy dense nutrient-poor (EDNP) foods and beverages, to identify interventions targeting women and adolescent girls throughout the reproductive life course. [Description] Africa is currently experiencing rapid change partly driven by increasing...

Behavioral experiment data on food choice in eastern India

Jun 3, 2020 - IRRI Drivers of Food Choice

Ynion, Jhoanne; Custodio, Marie Claire; Samaddar, Arindam; Ray (Chakravarti), Anindita; Demont, Matty, 2020, "Behavioral experiment data on food choice in eastern India", https://doi.org/10.7910/DVN/NFJZ7Z, Harvard Dataverse, V2, UNF:6:ZjJVuFtwpCFZ5AoURx0syg== [fileUNF]

A behavioral experiment was conducted with households belonging to urban and rural low- and middle-income classes in West Bengal, India. Invited households (both husband and wife) were given a chance to express their food choice by creating their optimal meal portfolio using an offline Windows-based interactive food choice application (FCA) uploade...

Field notes and interview guides for the study "In the mood for snack food: drivers of food choice among children and caregivers in post-earthquake Nepal"

May 20, 2020 - Healthier food choices in Nepal

Schreinemachers, Pepijn, 2020, "Field notes and interview guides for the study "In the mood for snack food: drivers of food choice among children and caregivers in post-earthquake Nepal"", https://doi.org/10.7910/DVN/BXQERY, Harvard Dataverse, V1

This entry contains anonymized field notes and interview guides used for the study.

Healthier food choices in Nepal(World Vegetable Center)

May 20, 2020

This dataverse contains data, study plans and data collection tools used by the project "Nudging children towards healthier food choices: an experiment combining school and home gardens", which is part of the Drivers of Food Choice program.

List of dishes and ingredients from expert elicitation workshop conducted in eastern India (2017)

Mar 16, 2020 - IRRI Drivers of Food Choice

Ynion, Jhoanne; Samaddar, Arindam; Mohanty, Suva Kanta; Cuevas, Rosa Paula; Custodio, Marie Claire; Demont, Matty, 2020, "List of dishes and ingredients from expert elicitation workshop conducted in eastern India (2017)", https://doi.org/10.7910/DVN/CRQFBO, Harvard Dataverse, V3, UNF:6:TRNnXOYA8UDX5vaZprwyow== [fileUNF]

Food experts (i.e., nutritionists, food scientists, restaurant holders, and home scientists) identified a maximum of 20 most important dishes per occasion--1) breakfast, 2) morning snacks, 3) lunch, 4) afternoon snacks, and 5) dinner, 6) special occasion) in West Bengal and Odisha, India. The target population is households in the low and middle-in...

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