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)

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

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.

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)

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

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.

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

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

Abstract copyright UK Data Service and data collection copyright owner. To examine variations in the heights and circumferences of children in different occupations during 1841. Main Topics: Industry and place where employed; family name; first name; sex; age in years and months; height in feet and inches; chest circumference in feet and inches; subjective assessment of physical condition; ability to read and write; occupation; years employed; months employed; where employed (name of pit, farm, factory or works). No sampling (total universe)

American citizens of African descent, living in Maryland.

Abstract copyright UK Data Service and data collection copyright owner.

To examine variations in the heights and circumferences of children in different occupations during 1841.
Main Topics:

Industry and place where employed; family name; first name; sex; age in years and months; height in feet and inches; chest circumference in feet and inches; subjective assessment of physical condition; ability to read and write; occupation; years employed; months employed; where employed (name of pit, farm, factory or works).

Database of high-quality craniofacial anthropometric normative data for the research and clinical community based on digital stereophotogrammetry. Unlike traditional craniofacial normative datasets that are limited to measures obtained with handheld calipers and tape measurers, the anthropometric data provided here are based on digital stereophotogrammetry, a method of 3D surface imaging ideally suited for capturing human facial surface morphology. Also unlike more traditional normative craniofacial resources, the 3D Facial Norms Database allows users to interact with data via an intuitive graphical interface and - given proper credentials - gain access to individual-level data, allowing users to perform their own analyses.

Data associated to the article "Historical recollection of anthropometric data from schoolchildren attending summer camps from 1887 to 1934 in Spain. Interpretations and comparison with coetaneous and modern references." published in the American Journal of Physical Anthropology, 2019. DOI: 10.1002/ajpa.23907

Background: Population-level health and nutrition surveys provide critical anthropometric data used to monitor trends of the prevalence of under nutrition and overweight in children under 5 years old, and overweight and obesity in the population over 5 years of age.Objective: Analyze the children malnutrition and overweight and obesity in children, teenagers and adults through the National Health and Nutrition Surveys information available from public databases.Materials and Methods: Comparable anthropometric data was gathered by five Mexican National Health and Nutrition Surveys (in Spanish, ENSANUT). In pre-school-age children, under nutrition status was identified through underweight (Z-score below −2 in weight-for-age), stunting (chronic malnutrition) (Z-score below −2 for length/height-for-age), or wasting (Z-score below −2, for weight-for-length/height); overweight status was defined as a body mass index (BMI, kg/m2) for age over +2. For school-age children and adolescents, a Z-score BMI between +1 and +2 deviations was defined as overweight, and between +2 and +5.5 as obesity. In adults (≥20 years of age), overweight status was classified as a BMI between 25.0 and 29.9, and obesity as ≥30.Results: The anthropometric data presented derives from the databases of five survey years of the Mexican National Health and Nutrition Survey: 2006, 2012, 2016, 2018, and 2020. They include a total of 210,915 subjects with complete anthropometric data (weight, length/height) distributed on five survey moments; subjects were categorized by age group: pre-school-age children (n = 25,968), school-age children (n = 42,255), adolescents (n = 39,275), and adults (n = 103,417). Prevalence of malnutrition by indicator was calculated: in pre-school-age children: low height- and weight-for-age, low weight-for-height, and overweight; and in school-age children, adolescents, and adults, the indicators calculated were overweight and obesity.Conclusions: Results demonstrate the importance of maintaining systematic, reliable, and timely national anthropometric data in the population, in order to detect and track trends and to form the basis of nutrition-related public policy.

These pages contain the anthropometric data that have been collected in dissection studies on the human shoulder. Studies were performed between 1988 and 1995, at the VU in Amsterdam (VU study), later followed by studies at Leiden University (Leiden) and the Mayo Clinic in Rochester (MN).

In the VU study we dissected seven specimen, from which we took both left and right shoulders. For each specimen, anthropometric data were collected before dissection. Subsequently, all relevant muscle attachments and bony elements on the thorax, scapula, clavicle and humerus were digitized. The dissection procedure ended with the measurement of the Physiological Cross-sectional Area of each muscle. Given are the anthropometric data for all seven specimen and the attachments for all right shoulders (N=7). To facilitate interpretation, we added a brief description of the data collection and processing procedures.

In the Mayo studies we added four arms to the set, including the orientations of the kinematic linkages.

See the referenced papers for more detailed information.

Veeger et al (1991) Inertia and muscle contraction parameters for musculoskeletal modelling of the shoulder mechanism. J Biomech. 1991;24(7):615-29.

Van der Helm et al (1992)Geometry parameters for musculoskeletal modelling of the shoulder system. J. Biomech . 1992 Feb;25(2):129-44.

Veeger et al. Parameters for modeling the upper extremity. J Biomech. 1997 Jun;30(6):647-52.

Supplementary research data to the paper:

Davide Fantini, Federico Avanzini, Stavros Ntalampiras and Giorgio Presti (2024) "Toward a Novel Set of Pinna Anthropometric Features for Individualizing Head-Related Transfer Functions", Sound and Music Computing Conference

The repository includes the research data generated in the abovementioned paper. In particular, the repository includes:

README.md: instructions for the data

pinna_images.mat: pinna depth images extracted from the 3D head meshes of the HUTUBS dataset

landmarks.mat: coordinates of the landmarks manually annotated on pinna depth images

anthropometry.mat: anthropometric parameters automatically extracted from manually annotated landmarks

anthropometry_documentation.pdf: documentation of the pinna anthropometric parameters

poster.pdf: poster presented at the SMC conference 2024

The data are provided in the Matlab file format MAT. Nevertheless, the MAT files can be read with other programming languages, such as Python (scipy.io.loadmat).

A GitHub repository to automatically extract the pinna landmarks and features as described in the paper is available here.

HW: Healthy Women; FM: Fibromyalgia women. Data are shown as mean ± standard error.*100% volunteers.

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

Anthropometric data of the subjects.

Anthropometry measurements provide one of the most important indicators of children’s nutritional status. In this survey, height and weight measurements were obtained for children under five years i.e. below 59 months.