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 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)

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 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)

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]

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

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)

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)

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).

Table 1 List of 25 anthropometric dimensions and measures that can be used in hygienic and ergonomic practice, especially when designing the optimal spatial arrangement of the workplace and creating an optimal working environment. Table 2 Database of measured data of selected anthropometric characteristics of the adult population in Slovakia for the years 2003-2023. Table 3 Summary data of the basic statistical analysis of descriptive statistics for the measured data of anthropometric dimensions in differentiation by gender.

Note: BMI = Body Mass Index

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.

The anthropometric datasets presented here are virtual datasets. The unweighted virtual dataset was generated using a synthesis and subsequent validation algorithm (Ackermann et al., 2023). The underlying original dataset used in the algorithm was collected within a regional epidemiological public health study in northeastern Germany (SHIP, see Völzke et al., 2022). Important details regarding the collection of the anthropometric dataset within SHIP (e.g. sampling strategy, measurement methodology & quality assurance process) are discussed extensively in the study by Bonin et al. (2022).

To approximate nationally representative values for the German working-age population, the virtual dataset was weighted with reference data from the first survey wave of the Study on health of adults in Germany (DEGS1, see Scheidt-Nave et al., 2012). Two different algorithms were used for the weighting procedure: (1) iterative proportional fitting (IPF), which is described in more detail in the publication by Bonin et al. (2022), and (2) a nearest neighbor approach (1NN), which is presented in the study by Kumar and Parkinson (2018). Weighting coefficients were calculated for both algorithms and it is left to the practitioner which coefficients are used in practice. Therefore, the weighted virtual dataset has two additional columns containing the calculated weighting coefficients with IPF ("WeightCoef_IPF") or 1NN ("WeightCoef_1NN"). Unfortunately, due to the sparse data basis at the distribution edges of SHIP compared to DEGS1, values underneath the 5th and above the 95th percentile should be considered with caution.

In addition, the following characteristics describe the weighted and unweighted virtual datasets: According to ISO 15535, values for "BMI" are in [kg/m2], values for "Body mass" are in [kg], and values for all other measures are in [mm]. Anthropometric measures correspond to measures defined in ISO 7250-1. Offset values were calculated for seven anthropometric measures because there were systematic differences in the measurement methodology between SHIP and ISO 7250-1 regarding the definition of two bony landmarks: the acromion and the olecranon. Since these seven measures rely on one of these bony landmarks, and it was not possible to modify the SHIP methodology regarding landmark definitions, offsets had to be calculated to obtain ISO-compliant values. In the presented datasets, two columns exist for these seven measures. One column contains the measured values with the landmarking definitions from SHIP, and the other column (marked with the suffix "_offs") contains the calculated ISO-compliant values (for more information concerning the offset values see Bonin et al., 2022). The sample size is N = 5000 for the male and female subsets. The original SHIP dataset has a sample size of N = 1152 (women) and N = 1161 (men). Due to this discrepancy between the original SHIP dataset and the virtual datasets, users may get a false sense of comfort when using the virtual data, which should be mentioned at this point. In order to get the best possible representation of the original dataset, a virtual sample size of N = 5000 is advantageous and has been confirmed in pre-tests with varying sample sizes, but it must be kept in mind that the statistical properties of the virtual data are based on an original dataset with a much smaller sample size.

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

Number of male students: 300 Number of female students: 80

The anthropometric and NMQ data was collected from the students, including batches 2k18, 2k19, 2k20, and 2k21. Confidentiality of participant responses was strictly maintained. All data collected were anonymized and stored securely. Only the research team has access to the raw data, and findings will be reported in aggregate form to ensure the anonymity of participants. Participants were provided with informed consent forms detailing the purpose of the study, their rights as participants, and procedures for data handling. Participation in the survey was voluntary, and participants had the right to withdraw at any time without penalty.

The NMQ study identified and ensured that musculoskeletal pain exists in university students. Cronbach alpha reliability test assured that the survey was within the acceptable range, thus being reliable.

Abstract The anthropometric assessment of a person or population is used by professionals from different areas (health, sports, education, ergonomics, engineering), and the quality of the measures obtained by them determines the success of their interventions. This point of view aims to underline the importance of training these professionals through The International Anthropometry Accreditation Scheme (IAAS) implemented by The International Society for the Advancement of Kinanthropometry (ISAK), which aims to create and maintain an international network of professionals updated continuously from the practical and scientific point of view in the anthropometric measurement of excellence. We describe the four-level hierarchical structure of IAAS, which is guided by the rules defined in the ISAK Handbook and the anthropometric procedures described in the ISAK manuals, as well as the importance and functionality of the ISAK website. It is suggested that an ISAK mobile app be developed to, among other things, facilitate communication among its members, streamline data management of accreditation courses and increase the organization’s international projection.

Terminal digit preference expressed as percentage of anthropometrists’ first measurement for height, head circumference and arm circumference ending in .0 to .9 compared to the expected 10% among children 0–4.9 years (n = 948 observations from 474 children), BINA 2017.

Note: BMI = Body Mass Index; MUAC = Mid Upper Arm Circumference