100+ datasets found
  1. D

    NIOSH Anthropometric Data and ISO Digital Headforms

    • data.cdc.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Nov 14, 2024
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    (2024). NIOSH Anthropometric Data and ISO Digital Headforms [Dataset]. https://data.cdc.gov/National-Institute-for-Occupational-Safety-and-Hea/NIOSH-Anthropometric-Data-and-ISO-Digital-Headform/c2hx-eeis
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    csv, tsv, json, xml, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Nov 14, 2024
    Description

    In 2003, the National Institute for Occupational Safety and Health (NIOSH) conducted a nationwide anthropometric survey of 3,997 subjects. The resulting head and face measurements were used to develop an anthropometric database detailing the face size distributions of respirator users using both traditional measurement methods and three-dimensional (3D) scanning systems. This database was used to establish fit test panels to be incorporated into NIOSH respirator certification and international standards. One of the panels developed, called the principal component analysis (PCA) panel, uses the first two principal components obtained from a set of 10 facial dimensions (age and race adjusted) and divides user population into five face-size categories. These 10 dimensions are associated with respirator fit and leakage and can predict the remaining face dimensions as well. Respirators designed to fit these panels are expected to accommodate more than 95% of the current U.S. civilian workers.

    From the 3,997 subje

  2. l

    All anthropometry data - Malawi

    • kpsmw.lshtm.ac.uk
    Updated Aug 31, 2022
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    Malawi Epidemiology and Intervention Research Unit (2022). All anthropometry data - Malawi [Dataset]. https://kpsmw.lshtm.ac.uk/nada/index.php/catalog/6
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    Dataset updated
    Aug 31, 2022
    Dataset authored and provided by
    Malawi Epidemiology and Intervention Research Unit
    Area covered
    Malawi
    Description

    Abstract

    Anthropometric measurements have been taken in many studies in Karonga: this dataset combines and harmonises all these sources.

    Analysis unit

    Individual

    Mode of data collection

    Face-to-face [f2f]

  3. D

    Anthropometric Database for the EMTs in the United States

    • data.cdc.gov
    • data.virginia.gov
    • +2more
    application/rdfxml +5
    Updated Nov 14, 2024
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    (2024). Anthropometric Database for the EMTs in the United States [Dataset]. https://data.cdc.gov/National-Institute-for-Occupational-Safety-and-Hea/Anthropometric-Database-for-the-EMTs-in-the-United/2tj4-nah7
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    application/rssxml, json, csv, application/rdfxml, xml, tsvAvailable download formats
    Dataset updated
    Nov 14, 2024
    Description

    Deaths or serious injuries among emergency medical technicians (EMTs) and other ambulance occupants occur at a high rate during transport. According to a study by the National Institute for Occupational Safety and Health (NIOSH), EMTs and paramedics have higher fatality rates when compared to all workers, with forty-five percent of EMT deaths resulting from highway incidents, primarily due to vehicle collisions.1 Data from the National Highway and Traffic Safety Administration showed that among the persons killed in crashes involving an ambulance between 1992 and 2011, twenty one percent were EMTs and patients, while four percent were ambulance drivers.2 To reduce injury potential to the EMTs and other ambulance occupants, NIOSH, the Department of Homeland Security, the U.S. General Services Administration, and the National Institute of Standards and Technology, along with private industry partners, have committed to improving the workspace design of ambulance patient compartments for safe and effective perfo

  4. D

    Dutch adults (DINED - anthropometric database)

    • data.4tu.nl
    • figshare.com
    zip
    Updated Aug 31, 2018
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    J.M. Dirken; L.P.A. Steenbekkers; Daanen; A.I.M. Voorbij; J.F.M. (Johan) Molenbroek (2018). Dutch adults (DINED - anthropometric database) [Dataset]. http://doi.org/10.4121/uuid:1b214a8f-f59c-460f-8eb9-3ef8db5e85ee
    Explore at:
    zipAvailable download formats
    Dataset updated
    Aug 31, 2018
    Dataset provided by
    4TU.Centre for Research Data
    Authors
    J.M. Dirken; L.P.A. Steenbekkers; Daanen; A.I.M. Voorbij; J.F.M. (Johan) Molenbroek
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Time period covered
    1993 - 2004
    Area covered
    The Netherlands
    Description

    The most recent version of the DINED-series was based on two sources. The first is the Geron-project 1993-1998 of the TU Delft Ergonomics group (see also the Geron 1998 table), which provides the basic body dimensions. Second source is the Caesar-project from TNO Human Factors Soesterberg, which provides the circumferences. (2004)

  5. Guatemala Anthropometry Data

    • catalog.data.gov
    Updated Jul 13, 2024
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    data.usaid.gov (2024). Guatemala Anthropometry Data [Dataset]. https://catalog.data.gov/dataset/guatemala-anthropometry-data-c42a4
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    Dataset updated
    Jul 13, 2024
    Dataset provided by
    United States Agency for International Developmenthttp://usaid.gov/
    Area covered
    Guatemala
    Description

    Data describing the anthropometry in Segamil and Paisano in Guatemala

  6. Data from: Anthropometry of Law Enforcement Officers

    • healthdata.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Nov 19, 2024
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    data.cdc.gov (2024). Anthropometry of Law Enforcement Officers [Dataset]. https://healthdata.gov/dataset/Anthropometry-of-Law-Enforcement-Officers/j6f8-x6e7
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    application/rdfxml, csv, application/rssxml, xml, json, tsvAvailable download formats
    Dataset updated
    Nov 19, 2024
    Dataset provided by
    data.cdc.gov
    Description

    The accommodation of worker anthropometric variability in the workplace and personal protective equipment (PPE) is key to safe and efficient completion of work tasks. Previously, the best data available was 46 years old, which has largely become outdated due to demographic changes. These data tables consist of 34 traditional semi-nude body dimensions without gear (e.g., chest depth, standing; foot breadth, horizontal, standing; hip circumference; stature; elbow rest height, sitting; and eye height, sitting) and 15 dimension measurements over clothing and with gear (e.g., abdominal extension depth, sitting; hip breadth, sitting; and should-grip length, sitting) of 756 male and 218 female Law Enforcement Officers (LEOs). For many LEOs, patrol vehicles are the workplace where they spend significant portions of their workday and PPE is vital gear to safeguard LEOs from the harm of assaults. Design improvements of vehicle console space, vehicle ingress/egress, and LEO body-worn equipment can result in reduced LEO fatigue, pain, or injury.

  7. f

    Dutch children (DINED - anthropometric database)

    • figshare.com
    • data.4tu.nl
    zip
    Updated Jun 17, 2023
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    L.P.A. Steenbekkers; J.J. Houtkamp; H. Lok; H.J Arisz; B Kip; J.M. Dirken; J.F.M. (Johan) Molenbroek (2023). Dutch children (DINED - anthropometric database) [Dataset]. http://doi.org/10.4121/uuid:f1268983-6293-4f90-84c5-9fa81d06c4b1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 17, 2023
    Dataset provided by
    4TU.ResearchData
    Authors
    L.P.A. Steenbekkers; J.J. Houtkamp; H. Lok; H.J Arisz; B Kip; J.M. Dirken; J.F.M. (Johan) Molenbroek
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    This study contains the measurements of children aged 2 - 12 years. (1993)

  8. f

    Dutch students 2016 (DINED - anthropometric database)

    • figshare.com
    • data.4tu.nl
    zip
    Updated Jul 21, 2020
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    W. (Wytske) de Jong; T. (Titus) Lotgering; M. (Matthijs) van Leeuwen; K. (Karlien) Berghman; L. (Lucas) van den Elshout; J.F.M. (Johan) Molenbroek (2020). Dutch students 2016 (DINED - anthropometric database) [Dataset]. http://doi.org/10.4121/uuid:1411a8ac-5944-41d2-81c1-1edf32106d99
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    zipAvailable download formats
    Dataset updated
    Jul 21, 2020
    Dataset provided by
    4TU.ResearchData
    Authors
    W. (Wytske) de Jong; T. (Titus) Lotgering; M. (Matthijs) van Leeuwen; K. (Karlien) Berghman; L. (Lucas) van den Elshout; J.F.M. (Johan) Molenbroek
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    This study contains measurements of 347 Dutch students taking part in the first year of the Industrial Design Engineer Bachelor's programme at TU Delft. Measurements were conducted in 2014 in the traditional way, with calipers and tape in combination with a measurement chair. (2016)

  9. t

    2012 Anthropometric Survey of U.S. Army Personnel

    • invenio01-demo.tugraz.at
    csv
    Updated Apr 8, 2025
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    Sonja M. Fitterer; Sonja M. Fitterer (2025). 2012 Anthropometric Survey of U.S. Army Personnel [Dataset]. http://doi.org/10.0356/k7g2e-zd592
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    csvAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    U.S. Army Natick Soldier Research, Development and Engineering Center Natick, Massachusetts 01760-2642
    Authors
    Sonja M. Fitterer; Sonja M. Fitterer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 2010 - Apr 2012
    Area covered
    United States
    Description

    The 2012 US Army Anthropometric Survey (ANSUR II) was executed by the Natick Soldier Research, Development and Engineering Center (NSRDEC) from October 2010 to April 2012 and is comprised of personnel representing the total US Army force to include the US Army Active Duty, Reserves, and National Guard. The data was made publicly available in 2017. In addition to the anthropometric and demographic data described below, the ANSUR II database also consists of 3D whole body, foot, and head scans of Soldier participants. These 3D data are not publicly available out of respect for the privacy of ANSUR II participants. The data from this survey are used for a wide range of equipment design, sizing, and tariffing applications within the military and has many potential commercial, industrial, and academic applications.These data have replaced ANSUR I as the most comprehensive publicly accessible dataset on body size and shape. The ANSUR II dataset includes 93 measurements from over 6,000 adult US military personnel, comprising 4,082 men (ANSUR_II_MALE_Public.csv) and 1,986 women (ANSUR_II_FEMALE_Public.csv).

    The ANSUR II working databases contain 93 anthropometric measurements which were directly measured, and 15 demographic/administrative variables.

    Much more information about the data collection methodology and content of the ANSUR II Working Databases may be found in the following Technical Reports, available from theDefense Technical Information Center (www.dtic.mil) through:

    a. 2010-2012 Anthropometric Survey of U.S. Army Personnel: Methods and Summary
    Statistics. (NATICK/TR-15/007)
    b. Measurer’s Handbook: US Army and Marine Corps Anthropometric Surveys,
    2010-2011 (NATICK/TR-11/017)

  10. Anthropometric data set

    • zenodo.org
    txt
    Updated Nov 30, 2020
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    Inga Dabolina; Inga Dabolina; Eva Lapkovska; Eva Lapkovska (2020). Anthropometric data set [Dataset]. http://doi.org/10.5281/zenodo.4296031
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    txtAvailable download formats
    Dataset updated
    Nov 30, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Inga Dabolina; Inga Dabolina; Eva Lapkovska; Eva Lapkovska
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data set describes anthropometric data in extreme positions: standard, relaxed posture, self-hug, leaning, tilting, arms raised, lingering. Data were analyzed in tight clothing. The protective clothing used during the Covid-19 pandemic was analyzed in two positions for the same test subject (relaxed and raised arms). The data show the fit of the suit to the body. And changes in the body's anthropometric data as a result of various movements.

  11. NIOSH US Firefighters Anthropometric Measurements Data

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). NIOSH US Firefighters Anthropometric Measurements Data [Dataset]. https://www.johnsnowlabs.com/marketplace/niosh-us-firefighters-anthropometric-measurements-data/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    2014
    Area covered
    United States
    Description

    The dataset contains recent anthropometric measurements data useful for updating ergonomic and safety specifications for fire apparatus and firefighter personal protective equipment (PPE). Data collected during the anthropometric measurements performed and from the consecutive analysis done on primary data is segregated by gender of individuals, posture and wearing or not of the gear during measurements and as well by the type of units (metric or imperial).

  12. f

    Dutch students 1986 (DINED - anthropometric database)

    • figshare.com
    • data.4tu.nl
    • +1more
    zip
    Updated Jun 17, 2023
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    J.F.M. (Johan) Molenbroek (2023). Dutch students 1986 (DINED - anthropometric database) [Dataset]. http://doi.org/10.4121/uuid:9f0ad3f0-6ab1-4ac2-82ae-20d72f6bc1c7
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 17, 2023
    Dataset provided by
    4TU.ResearchData
    Authors
    J.F.M. (Johan) Molenbroek
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    This study is the result of a third year practicum with Delft Industrial Design Engineering students, measurements on students are done in three successive years.

  13. f

    Dutch elderly 1998 (DINED - anthropometric database)

    • figshare.com
    • data.4tu.nl
    zip
    Updated Jun 18, 2023
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    C.E.M. van Beijsterveldt; J.M. Dirken; J.J. Houtkamp; J.F.M. (Johan) Molenbroek; L.P.A. Steenbekkers; A.I.M. Voorbij (2023). Dutch elderly 1998 (DINED - anthropometric database) [Dataset]. http://doi.org/10.4121/uuid:f3150ffc-c588-41fb-af6c-3a78cc865380
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 18, 2023
    Dataset provided by
    4TU.ResearchData
    Authors
    C.E.M. van Beijsterveldt; J.M. Dirken; J.J. Houtkamp; J.F.M. (Johan) Molenbroek; L.P.A. Steenbekkers; A.I.M. Voorbij
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    The TU Delft Geron project was a national study in which 750 subjects, who lived independently, were assessed. In total about 80 variables, all more or less important for product use, were measured. The sample consisted of four age groups ranging from 50 to over 80 years of age; a group of young people (20 - 30 years) was also studied for the purpose of comparison (see DINED 2004 table). Women and men participated in about equal numbers. (1998)

  14. i

    Dataset of the IEEE IC 3DBP Comparative Analysis of Anthropometric Methods

    • ieee-dataport.org
    Updated Jun 16, 2022
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    Alfredo Ballester (2022). Dataset of the IEEE IC 3DBP Comparative Analysis of Anthropometric Methods [Dataset]. https://ieee-dataport.org/open-access/dataset-ieee-ic-3dbp-comparative-analysis-anthropometric-methods
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    Dataset updated
    Jun 16, 2022
    Authors
    Alfredo Ballester
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    This open dataset is subject to CC BY-NC-SA 4.0 License. The dataset is intended for scientific research purposes and it cannot be used for commercial purposes. The authors encourage users to use it for public research and as a testbench for private research. Please note that any promotional/marketing material built upon this dataset should be backed by publicly available description of the work leading to the promotional/marketing claims.This dataset was gathered by the IEEE IC 3DBP working group.

  15. m

    Anthropometric-Data-Aged-2-19-Pak

    • data.mendeley.com
    Updated Dec 3, 2020
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    Muhammad Aslam (2020). Anthropometric-Data-Aged-2-19-Pak [Dataset]. http://doi.org/10.17632/sxgymx5xjm.1
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    Dataset updated
    Dec 3, 2020
    Authors
    Muhammad Aslam
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The dataset is of 10,782 children and adolescents, aged 2 to 19 years, who belonged to four major cities of Pakistan including Lahore, Multan, Rawalpindi/Islamabad. The dataset consists of data about variables age (years), gender status (boys/girls), residential city (Multan/ Lahore/ Rawalpindi or Islamabad) and anthropometric measurements i.e., height (0.1cm), weight (kg.), WC (0.1cm), HpC (0.1cm), MUAC (0.1cm), NC (0.1cm) and WrC (0.1cm).

  16. G

    Anthropometry measures of the household population

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Jan 17, 2023
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    Statistics Canada (2023). Anthropometry measures of the household population [Dataset]. https://open.canada.ca/data/en/dataset/85875487-b669-4c4d-849c-ef76cfa27392
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Anthropometry measures of the household population, by sex and age group.

  17. Feed the Future Senegal: Yaajeende Children's Anthropometry Data

    • catalog.data.gov
    Updated Jun 25, 2024
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    data.usaid.gov (2024). Feed the Future Senegal: Yaajeende Children's Anthropometry Data [Dataset]. https://catalog.data.gov/dataset/feed-the-future-senegal-yaajeende-childrens-anthropometry-data-a3f54
    Explore at:
    Dataset updated
    Jun 25, 2024
    Dataset provided by
    United States Agency for International Developmenthttp://usaid.gov/
    Area covered
    Senegal
    Description

    The purpose of this study is to evaluate the impact that the Feed the Future Nutrition-led Agriculture Project for Food Security in Senegal (known as "Yaajeende") has had on reducing malnutrition and poverty in its intervention area. This report details the findings, conclusions and recommendations of a mixed-methods quasi-experimental final impact evaluation (FIE) of the United States Agency for International Development’s (USAID) $50 million, seven-year Feed the Future Nutrition-Led Agriculture Project for Food Security in Senegal, known as “Yaajeende.” The National Cooperative Business Association’s Cooperative League of the USA (NCBA CLUSA) implemented the project. To combat poverty and child malnutrition, Yaajeende sought to accelerate the participation of the very poor in rural economic growth and improve the four dimensions of food security: availability, access, utilization and stability. Yaajeende worked in 790 villages across 49 municipalities (“communes” in French) and nine departments in the Matam, Tambacounda, Kédougou and Kolda regions. The project’s implementation period was November 1, 2010, to September 30, 2017. The FIE aims to provide USAID with an evidence base on the impacts of the nutrition-led agriculture (NLA) approach that the project utilized on its key objectives, including reduced poverty and malnutrition. The findings are expected to provide accountability and learning value to USAID, including both the Senegal Mission and USAID/Feed the Future. Additional stakeholders include the Government of Senegal, implementing partners and other agencies, donors and practitioners active in nutrition, health, agriculture and integrated sectors.

  18. f

    Dutch elderly 1984 (DINED - anthropometric database)

    • figshare.com
    • data.4tu.nl
    zip
    Updated Jun 18, 2023
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    J.F.M. (Johan) Molenbroek; J.J. Houtkamp; A.K.C. Burger (2023). Dutch elderly 1984 (DINED - anthropometric database) [Dataset]. http://doi.org/10.4121/uuid:3ab472c3-22ea-417b-8897-2adab457016b
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 18, 2023
    Dataset provided by
    4TU.ResearchData
    Authors
    J.F.M. (Johan) Molenbroek; J.J. Houtkamp; A.K.C. Burger
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    This data was measured in 1982 in cooperation with Gemeentelijke Dienst Verpleging en Verzorging, the association for elderly care and housing in The Hague. (1984)

  19. Feed the Future Senegal: Yaajeende Women's Anthropometry Data

    • catalog.data.gov
    Updated Jun 25, 2024
    + more versions
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    data.usaid.gov (2024). Feed the Future Senegal: Yaajeende Women's Anthropometry Data [Dataset]. https://catalog.data.gov/dataset/feed-the-future-senegal-yaajeende-womens-anthropometry-data-5a394
    Explore at:
    Dataset updated
    Jun 25, 2024
    Dataset provided by
    United States Agency for International Developmenthttp://usaid.gov/
    Area covered
    Senegal
    Description

    The purpose of this study is to evaluate the impact that the Feed the Future Nutrition-led Agriculture Project for Food Security in Senegal (known as "Yaajeende") has had on reducing malnutrition and poverty in its intervention area. This report details the findings, conclusions and recommendations of a mixed-methods quasi-experimental final impact evaluation (FIE) of the United States Agency for International Development’s (USAID) $50 million, seven-year Feed the Future Nutrition-Led Agriculture Project for Food Security in Senegal, known as “Yaajeende.” The National Cooperative Business Association’s Cooperative League of the USA (NCBA CLUSA) implemented the project. To combat poverty and child malnutrition, Yaajeende sought to accelerate the participation of the very poor in rural economic growth and improve the four dimensions of food security: availability, access, utilization and stability. Yaajeende worked in 790 villages across 49 municipalities (“communes” in French) and nine departments in the Matam, Tambacounda, Kédougou and Kolda regions. The project’s implementation period was November 1, 2010, to September 30, 2017. The FIE aims to provide USAID with an evidence base on the impacts of the nutrition-led agriculture (NLA) approach that the project utilized on its key objectives, including reduced poverty and malnutrition. The findings are expected to provide accountability and learning value to USAID, including both the Senegal Mission and USAID/Feed the Future. Additional stakeholders include the Government of Senegal, implementing partners and other agencies, donors and practitioners active in nutrition, health, agriculture and integrated sectors.

  20. n

    Cambodia Anthropometric Survey 2008 - Cambodia

    • microdata.nis.gov.kh
    • nada.nis.gov.kh
    Updated Jan 8, 2021
    + more versions
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    National Institute of Statistics (2021). Cambodia Anthropometric Survey 2008 - Cambodia [Dataset]. https://microdata.nis.gov.kh/index.php/catalog/2
    Explore at:
    Dataset updated
    Jan 8, 2021
    Dataset authored and provided by
    National Institute of Statistics
    Time period covered
    2008
    Area covered
    Cambodia
    Description

    Abstract

    The 2008 Cambodia Anthropometrics Survey (CAS) is a nationally representative sample of 7,495 households with children 0 to 59 months of age. The survey includes representative samples of nineteen survey domains, or areas, throughout the country. The 2008 CAS includes valid anthropometric measurements of over seven thousand children, making it the largest national sample of child measurements ever collected in the country. The main purpose of the survey is to provide policymakers and planners with updated information on nutrition in light of steep increases in the price of food. In order to provide a comprehensive view on nutrition in the country, data on anthropometry, micronutrient deficiency, food consumption, disease, coping strategies, infant/young child feeding, and health services were included in the survey. In addition to the national survey, 400 households in the informal settlements of Phnom Penh were sampled using the same methodology and questionnaire.

    Geographic coverage

    • National

    • Province: Fourteen individual provinces and Five groups of provinces

    Analysis unit

    Individuals

    Households

    Children 0 to 59 months of age

    Women aged 15- 49 years old

    Universe

    All private households with children 0 to 59 months ofage

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sample design of this survey is based on the most appropriate design for the multiple objectives of the survey, which were determined by starting with the intended actions. After the actions were listed a survey matrix was completed to decide which questions were needed to guide the actions and what data was needed to answer those questions.

    Please refer to Technical Documents for details.

    Sampling deviation

    Not available

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The questionnaire for this survey is designed to make trend analysis possible. It is largely based on the 2005 CDHS questionnaire. The questions used to calculate indicators shared by CAS 2008 and CDHS 2005 are identical. Indicators of coping strategies are compared to the CDRI 2008 survey and the questions used in CAS 2008 are the same as CDRI 2008. The layout of the questionnaire is designed to ensure data collection could be carried out in one month. The CAS 2008 questionnaire consists of three sections: household, child, and mother. The household section includes a list of women, their anthropometric measurements and questions on socio-economic characteristics and coping strategies. The child section consists of a child list and anthropometric measurements. A separate child section was given to each mother age 15-49 years in the household. The final section includes background characteristics, disease, health services, and food consumption. For some indicators CAS 2008 does differ from the CDHS 2005 because the base population of some indicators is different. All comparisons made in this report are of comparable estimates. A detailed account of analysis is provided in the Analysis Methodology section.

    Cleaning operations

    Not available

    Response rate

    Not available

    Sampling error estimates

    Not available

    Data appraisal

    Not available

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(2024). NIOSH Anthropometric Data and ISO Digital Headforms [Dataset]. https://data.cdc.gov/National-Institute-for-Occupational-Safety-and-Hea/NIOSH-Anthropometric-Data-and-ISO-Digital-Headform/c2hx-eeis

NIOSH Anthropometric Data and ISO Digital Headforms

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csv, tsv, json, xml, application/rdfxml, application/rssxmlAvailable download formats
Dataset updated
Nov 14, 2024
Description

In 2003, the National Institute for Occupational Safety and Health (NIOSH) conducted a nationwide anthropometric survey of 3,997 subjects. The resulting head and face measurements were used to develop an anthropometric database detailing the face size distributions of respirator users using both traditional measurement methods and three-dimensional (3D) scanning systems. This database was used to establish fit test panels to be incorporated into NIOSH respirator certification and international standards. One of the panels developed, called the principal component analysis (PCA) panel, uses the first two principal components obtained from a set of 10 facial dimensions (age and race adjusted) and divides user population into five face-size categories. These 10 dimensions are associated with respirator fit and leakage and can predict the remaining face dimensions as well. Respirators designed to fit these panels are expected to accommodate more than 95% of the current U.S. civilian workers.

From the 3,997 subje

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