Improving Data To Analyze Food And Nutrition Policies

Several changes in the United States over the past two decades have implications for diet, nutrition, and food safety, including patterns of food consumption that have produced an increase in overweight and obese Americans and threats to food safety from pathogens and bioterrorism. The changes raise a number of critical policy and research questions: How do differences in food prices and availability or in households' time resources for shopping and food preparation affect what people consume and where they eat? How do factors outside of the household, such as the availability of stores and restaurants, food preparation technology, and food marketing and labeling policies, affect what people are consuming? What effects have food assistance programs had on the nutritional quality of diets and the health of those served by the programs? Where do people buy and consume food and how does food preparation affect food safety? To address these and related questions, the Economic Research Service (ERS) of the U.S. Department of Agriculture (USDA) asked the Committee on National Statistics to convene a panel of experts to provide advice for improving the data infrastructure on food consumption and nutrition. The panel was charged to review data needs to support research and decision making for food and nutrition policies and programs in USDA and to assess the adequacy of the current data infrastructure and recommend enhancements to improve it. The primary basis for the panel's deliberations, given limited resources, was a workshop on Enhancing the Data Infrastructure in Support of Food and Nutrition Programs, Research, and Decision Making, which the panel convened on May 27-28, 2004. This report is based on the discussions at the workshop and the deliberations of the panel. The report outlines key data that are needed to better address questions related to food consumption, diet, and health; discusses the available data and some limitations of those data; and offers recommendations for improvements in those data. The panel was charged to consider USDA data needs for policy making and the focus of the report is on those needs.

Several changes in the United States over the past two decades have implications for diet, nutrition, and food safety, including patterns of food consumption that have produced an increase in overweight and obese Americans and threats to food safety from pathogens and bioterrorism. The changes raise a number of critical policy and research questions: How do differences in food prices and availability or in households' time resources for shopping and food preparation affect what people consume and where they eat? How do factors outside of the household, such as the availability of stores and restaurants, food preparation technology, and food marketing and labeling policies, affect what people are consuming? What effects have food assistance programs had on the nutritional quality of diets and the health of those served by the programs? Where do people buy and consume food and how does food preparation affect food safety? To address these and related questions, the Economic Research Service (ERS) of the U.S. Department of Agriculture (USDA) asked the Committee on National Statistics to convene a panel of experts to provide advice for improving the data infrastructure on food consumption and nutrition. The panel was charged to review data needs to support research and decision making for food and nutrition policies and programs in USDA and to assess the adequacy of the current data infrastructure and recommend enhancements to improve it. The primary basis for the panel's deliberations, given limited resources, was a workshop on Enhancing the Data Infrastructure in Support of Food and Nutrition Programs, Research, and Decision Making, which the panel convened on May 27-28, 2004. This report is based on the discussions at the workshop and the deliberations of the panel. The report outlines key data that are needed to better address questions related to food consumption, diet, and health; discusses the available data and some limitations of those data; and offers recommendations for improvements in those data. The panel was charged to consider USDA data needs for policy making and the focus of the report is on those needs.

Patterns of food consumption and nutritional intake strongly affect the population's health and well-being. The Food Economics Division of USDA's Economic Research Service (ERS) engages in research and data collection to inform policy making related to the leading federal nutrition assistance programs managed by USDA's Food and Nutrition Service. The ERS uses the Consumer Food Data System to understand why people choose foods, how food assistance programs affect these choices, and the health impacts of those choices. At the request of ERS, A Consumer Food Data System for 2030 and Beyond provides a blueprint for ERS's Food Economics Division for its data strategy over the next decade. This report explores the quality of data collected, the data collection process, and the kinds of data that may be most valuable to researchers, policy makers, and program administrators going forward. The recommendations of A Consumer Food Data System for 2030 and Beyond will guide ERS to provide and sustain a multisource, interconnected, reliable data system.

Food Security, Poverty and Nutrition Analysis provides essential insights into the evaluative techniques necessary for creating appropriate and effective policies and programs to address these worldwide issues. Food scientists and nutritionists will use this important information, presented in a conceptual framework and through case studies for exploring representative problems, identifying and implementing appropriate methods of measurement and analysis, understanding examples of policy applications, and gaining valuable insight into the multidisciplinary requirements of successful implementation. This book provides core information in a format that provides not only the concept behind the method, but real-world applications giving the reader valuable, practical knowledge. * Identify proper analysis method, apply to available data, develop appropriate policy * Demonstrates analytical techniques using real-world scenario application to illustrate approaches for accurate evaluation improving understanding of practical application development * Tests reader comprehension of the statistical and analytical understanding vital to the creation of solutions for food insecurity, malnutrition and poverty-related nutrition issues using hands-on exercises

Patterns of food consumption and nutritional intake strongly affect the population's health and well-being. The Food Economics Division of USDA's Economic Research Service (ERS) engages in research and data collection to inform policy making related to the leading federal nutrition assistance programs managed by USDA's Food and Nutrition Service. The ERS uses the Consumer Food Data System to understand why people choose foods, how food assistance programs affect these choices, and the health impacts of those choices. At the request of ERS, A Consumer Food Data System for 2030 and Beyond provides a blueprint for ERS's Food Economics Division for its data strategy over the next decade. This report explores the quality of data collected, the data collection process, and the kinds of data that may be most valuable to researchers, policy makers, and program administrators going forward. The recommendations of A Consumer Food Data System for 2030 and Beyond will guide ERS to provide and sustain a multisource, interconnected, reliable data system.

The percentage of population suffering from overweight or obesity is increasing worldwide, both in developed and developing countries, and for all subpopulations of age and gender (although data on the incidence of those problems seem to differ somewhat across sources; see Díaz-Bonilla and Paz, 2019). High body mass is a risk factor for many non-communicable diseases such as diabetes, high blood pressure, coronary heart disease and stroke. High Body Mass also tends to increase the risks of various types of cancer, gallbladder disease, musculoskeletal disorders and respiratory symptoms among others. In consequence, it constitutes one of the leading risk factors causing early death and disability, as measured in disability-adjusted life years (DALYs).1 It is estimated that in recent years overweight and obesity contributed to about an estimated 4 million deaths (7.1% of all deaths) and 120 million DALYs worldwide (4.9% of all DALYs among adults); overweight and obesity also carry economic costs, estimated globally in US$500 billion per year (Development Initiatives, and Institute for Health Metrics and Evaluation (IHME) , 2018). Consequently, there is an increasing interest to develop policies and interventions that may reduce the incidence of overweight and obesity.

Taking a food systems approach is a promising strategy for improving diets. Implementing such an approach would require the use of a comprehensive set of metrics to characterize food systems, set meaningful goals, track food systems performance, and evaluate the impacts of food systems interventions. Food systems metrics are also useful to structure debates and communicate to policy makers and the general public. This paper provides an updated analytical framework of food systems and uses this to systematically identify relevant metrics and indicators based on data availability in low- and middle-income countries (LMICs). The list of indicators partly overlaps with the Sustainable Development Goals (SDG) indicators, but these do not cover all aspects of the food system. We conclude that public data are relatively available on food systems drivers and outcomes, and on some, but not all, of the activities. With only minor additional investments, existing surveys could be extended to cove

Many development programs that aim to alleviate poverty and improve investments in human capital consider women’s empowerment a key pathway by which to achieve impact and often target women as their main beneficiaries. Despite this, women’s empowerment dimensions are often not rigorously measured and are at times merely assumed. This paper starts by reflecting on the concept and measurement of women’s empowerment and then reviews some of the structural interventions that aim to influence underlying gender norms in society and eradicate gender discrimination. It then proceeds to review the evidence of the impact of three types of interventions—cash transfer programs, agricultural interventions, and microfinance programs—on women’s empowerment, nutrition, or both. Qualitative evidence on conditional cash transfer (CCT) programs generally points to positive impacts on women’s empowerment, although quantitative research findings are more heterogenous. CCT programs produce mixed results on long-term nutritional status, and very limited evidence exists of their impacts on micronutrient status. The little evidence available on unconditional cash transters (UCT) indicates mixed impacts on women’s empowerment and positive impacts on nutrition; however, recent reviews comparing CCT and UCT programs have found little difference in terms of their effects on stunting and they have found that conditionality is less important than other factors, such as access to healthcare and child age and sex. Evidence of cash transfer program impacts depending on the gender of the transfer recipient or on the conditionality is also mixed, although CCTs with non-health conditionalities seem to have negative impacts on nutritional status. The impacts of programs based on the gender of the transfer recipient show mixed results, but almost no experimental evidence exists of testing gender-differentiated impacts of a single program. Agricultural interventions—specifically home gardening and dairy projects—show mixed impacts on women’s empowerment measures such as time, workload, and control over income; but they demonstrate very little impact on nutrition. Implementation modalities are shown to determine differential impacts in terms of empowerment and nutrition outcomes. With regard to the impact of microfinance on women’s empowerment, evidence is also mixed, although more recent reviews do not find any impact on women’s empowerment. The impact of microfinance on nutritional status is mixed, with no evidence of impact on micronutrient status. Across all three types of programs (cash transfer programs, agricultural interventions, and microfinance programs), very little evidence exists on pathways of impact, and evidence is often biased toward a particular region. The paper ends with a discussion of the findings and remaining evidence gaps and an outline of recommendations for research.

The new edition of the Handbook of Nutrition and Food follows the format of the bestselling earlier editions, providing a reference guide for many of the issues on health and well being that are affected by nutrition. Completely revised, the third edition contains 20 new chapters, 50 percent new figures. A comprehensive resource, this book is a reference guide for many of the issues on health and well being that are affected by nutrition. Divided into five parts, the sections cover food, including its composition, constituents, labeling, and analysis; nutrition as a science, covering basic terminology, nutritional biochemistry, nutrition and genetics, food intake regulation, and micronutrients; nutrient needs throughout the human life cycle; assessment of nutrient intake adequacy; and clinical nutrition, from assessments to a wide variety of disease and health topics.