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Book (stand-alone)GuidelineFAO/INFOODS Guidelines for Converting Units, Denominators and Expressions. Version 1.0 2012
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Conversion of food data is done in the areas of nutrition (i.e. food composition and dietary assessment) and food safety (exposure assessment), and when reporting analytical data, including their publication in scientific articles. Food composition data are expressed in a variety of ways, depending on national conventions, practices of various institutions and journals requirements. However, to aggregate or compare data from diverse sources, it is often necessary to convert them. -
Book (stand-alone)Technical bookFAO/INFOODS Density Database Version 2.0 (2012) 2012
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No results found.FAO/INFOODS prepared this database to provide a tool for researchers and professionals to convert volume into weight and vice-versa. Data were collected from the literature, various national food composition tables and measurements conducted by the authors (see bibliography). Version 1.0 included density data for 214 food entries in 16 food groups from six sources and version 2.0 includes 638 foods entries in 20 food groups from 11 sources. For version 2, in addition to density data it was decid ed to also present data on specific gravity and to define the terms used. The data presented in this database are divided between density (including mass density and bulk density) and specific gravity. Like version 1.0, the data can be downloaded in Excel format from the INFOODS website. French version of this publication "Base de données FAO/INFOODS sur la densité. Version 2.0 (2015)" is published under job number i3057 -
Book (stand-alone)GuidelineFAO/INFOODS Guidelines for Checking Food Composition Data prior to the Publication of a User Table/Database-Version 1.0 2012
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Food composition data play an essential role in many sectors, including nutrition, health, agriculture, environment, food labelling and trade (Burlingame, 2004; Greenfield and Southgate, 2003; Pennington, 2008). Over the last 25 years, INFOODS has developed many international standards, guidelines and tools to obtain harmonized food composition data. They contain criteria for analytical data, guidelines on component identifiers, data compilation, food nomenclature, interchange and quality evalua tion (INFOODS, 2012a; Greenfield and Southgate, 2003; Klensin et al., 1989; Rand et al., 1991; Truswell et al.,1991). They were supplemented by guidelines from others such as EuroFIR (EuroFIR, 2012a; Westenbrink et al., 2009). However, as there are no guidelines on the validation/verification of data prior to publishing them in a user table/database (DB), INFOODS and FAO decided to develop such guidelines through the INFOODS network. The document was constructed on the assumption that the user t able/DB was developed according to the criteria set by Greenfield and Southgate (2003, pp.14-15) as outlined in Figure 1. It reflects the different stages of food composition database management until the production of user tables/DBs. Checks should be performed at all levels of the food composition database (FCDB) and a final check is recommended before the release of a user table/DB. The checks described in this document are related to compiled/aggregated data before publication in user tables /DBs. The objective of this document is to outline comprehensively the internal checks to be carried out on the food composition data and documentation prior to their publication in the user table/DB (section 3). For those compilers not yet familiar with the compilation and publication procedures of food composition data, a section on general issues (section 2) was added to give a brief overview of important issues which are useful for a better understanding of the checks and for keeping the c hecks as short as possible, i.e. without the need for further explanations. which provide further useful information for those with less experience in database compilation
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Book (stand-alone)GuidelineFAO/INFOODS Guidelines for Checking Food Composition Data prior to the Publication of a User Table/Database-Version 1.0 2012
Also available in:
Food composition data play an essential role in many sectors, including nutrition, health, agriculture, environment, food labelling and trade (Burlingame, 2004; Greenfield and Southgate, 2003; Pennington, 2008). Over the last 25 years, INFOODS has developed many international standards, guidelines and tools to obtain harmonized food composition data. They contain criteria for analytical data, guidelines on component identifiers, data compilation, food nomenclature, interchange and quality evalua tion (INFOODS, 2012a; Greenfield and Southgate, 2003; Klensin et al., 1989; Rand et al., 1991; Truswell et al.,1991). They were supplemented by guidelines from others such as EuroFIR (EuroFIR, 2012a; Westenbrink et al., 2009). However, as there are no guidelines on the validation/verification of data prior to publishing them in a user table/database (DB), INFOODS and FAO decided to develop such guidelines through the INFOODS network. The document was constructed on the assumption that the user t able/DB was developed according to the criteria set by Greenfield and Southgate (2003, pp.14-15) as outlined in Figure 1. It reflects the different stages of food composition database management until the production of user tables/DBs. Checks should be performed at all levels of the food composition database (FCDB) and a final check is recommended before the release of a user table/DB. The checks described in this document are related to compiled/aggregated data before publication in user tables /DBs. The objective of this document is to outline comprehensively the internal checks to be carried out on the food composition data and documentation prior to their publication in the user table/DB (section 3). For those compilers not yet familiar with the compilation and publication procedures of food composition data, a section on general issues (section 2) was added to give a brief overview of important issues which are useful for a better understanding of the checks and for keeping the c hecks as short as possible, i.e. without the need for further explanations. which provide further useful information for those with less experience in database compilation -
Book (stand-alone)Technical bookMinimum dietary diversity for women
An updated guide to measurement - from collection to action
2021Also available in:
Women of reproductive age (WRA) are often nutritionally vulnerable because of the physiological demands of pregnancy and lactation. Requirements for most nutrients are higher for pregnant and lactating women than for adult men. The Minimum Dietary Diversity for WRA (MDD-W) indicator is a food-based diversity indicator that has been shown to reflect one key dimension of diet quality: micronutrient adequacy summarized across 11 micronutrients (Martin-Prével et al., 2015).Since the launch of the MDD-W indicator in 2015, new global developments and research conducted in three countries to further determine best practices in the data collection resulted in new information and guidelines. This research was supported by capacity-development activities on the assessment of individual food consumption. This publication is an update to the 2016 FAO/FHI 360 joint publication MDD-W: A Guide to Measurement. It includes guidance on the most accurate and valid methodologies on collecting, analyzing, interpreting, and presenting data on women’s dietary diversity, for use in research, impact assessment and large-scale, health and nutrition surveys such as the Demographic Health Survey (DHS), to generate nationally representative data, that are comparable over time and across countries.In addition to supporting the regular collection of high-quality dietary data following standardized methodologies, the publication also aims to promote dialogues on and appropriate application of the data towards informing policy and programming decisions and monitoring and evaluation of nutrition outcomes and progress at global, regional, and country levels. -
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Book (stand-alone)GuidelineFAO/INFOODS Guidelines for Checking Food Composition Data prior to the Publication of a User Table/Database-Version 1.0 2012
Also available in:
Food composition data play an essential role in many sectors, including nutrition, health, agriculture, environment, food labelling and trade (Burlingame, 2004; Greenfield and Southgate, 2003; Pennington, 2008). Over the last 25 years, INFOODS has developed many international standards, guidelines and tools to obtain harmonized food composition data. They contain criteria for analytical data, guidelines on component identifiers, data compilation, food nomenclature, interchange and quality evalua tion (INFOODS, 2012a; Greenfield and Southgate, 2003; Klensin et al., 1989; Rand et al., 1991; Truswell et al.,1991). They were supplemented by guidelines from others such as EuroFIR (EuroFIR, 2012a; Westenbrink et al., 2009). However, as there are no guidelines on the validation/verification of data prior to publishing them in a user table/database (DB), INFOODS and FAO decided to develop such guidelines through the INFOODS network. The document was constructed on the assumption that the user t able/DB was developed according to the criteria set by Greenfield and Southgate (2003, pp.14-15) as outlined in Figure 1. It reflects the different stages of food composition database management until the production of user tables/DBs. Checks should be performed at all levels of the food composition database (FCDB) and a final check is recommended before the release of a user table/DB. The checks described in this document are related to compiled/aggregated data before publication in user tables /DBs. The objective of this document is to outline comprehensively the internal checks to be carried out on the food composition data and documentation prior to their publication in the user table/DB (section 3). For those compilers not yet familiar with the compilation and publication procedures of food composition data, a section on general issues (section 2) was added to give a brief overview of important issues which are useful for a better understanding of the checks and for keeping the c hecks as short as possible, i.e. without the need for further explanations. which provide further useful information for those with less experience in database compilation -
Book (stand-alone)Technical bookMinimum dietary diversity for women
An updated guide to measurement - from collection to action
2021Also available in:
Women of reproductive age (WRA) are often nutritionally vulnerable because of the physiological demands of pregnancy and lactation. Requirements for most nutrients are higher for pregnant and lactating women than for adult men. The Minimum Dietary Diversity for WRA (MDD-W) indicator is a food-based diversity indicator that has been shown to reflect one key dimension of diet quality: micronutrient adequacy summarized across 11 micronutrients (Martin-Prével et al., 2015).Since the launch of the MDD-W indicator in 2015, new global developments and research conducted in three countries to further determine best practices in the data collection resulted in new information and guidelines. This research was supported by capacity-development activities on the assessment of individual food consumption. This publication is an update to the 2016 FAO/FHI 360 joint publication MDD-W: A Guide to Measurement. It includes guidance on the most accurate and valid methodologies on collecting, analyzing, interpreting, and presenting data on women’s dietary diversity, for use in research, impact assessment and large-scale, health and nutrition surveys such as the Demographic Health Survey (DHS), to generate nationally representative data, that are comparable over time and across countries.In addition to supporting the regular collection of high-quality dietary data following standardized methodologies, the publication also aims to promote dialogues on and appropriate application of the data towards informing policy and programming decisions and monitoring and evaluation of nutrition outcomes and progress at global, regional, and country levels.