Science method
Anthropometry - Science method
The technique that deals with the measurement of the size, weight, and proportions of the human or other primate body.
Questions related to Anthropometry
Dear Colleagues
One of the things that has to be done so that design researchers and marketing researchers can work together is to agree the languages they use. It seems to me that one of the language barriers to overcome is using the "aesthetics" category in marketing.
For marketing researchers (Homburg 2015), "aesthetics" means "... is good looking; agree 12345 disagree".
It is difficult to consider such an understanding of "aesthetics" as relevant when taking into account, for instance, the designs of Celine tunics inspired by the works of Ives Klein Anthropometry, presented at fashion week Paris, spring-summer 2017.
Design researchers would rather ask "what does it mean?" or "what values embody these tunics?"
As the importance of competing with meanings increases, marketing researchers should research values as "what does it mean?" rather than "does it look good?" This could be one of the things that closes the gap between marketing and design languages and, consequently, research.
What do you think about it? Any interesting research published? I haven't seen any.
Maybe it's a topic for the
Creativity and Innovation Management
Special Issue – Call for papers
“Design & Marketing: Intersections and Challenges”
Richard Kleczek
I've only been able to find % body fat data based off sum of 4 skinfold sites. It would be wonderful if anyone knows of a good dataset for sum of 7 sites for elite female gymnasts. Thanks in advance.
I am looking for knowing the levels of body fat (BF%) estimated by 4 skinfolds (biceps+tricipital+subscapular+ suprailiac) in children aged 6-12y .
Thanks!
I am analyzing a dataset. There I have a group of participants whose age range is 10-17 years. I have their gender, date of birth, height and weight. I want to measure their BMI for age, z-score and percentile using WHO guidelines. WHO provides "Anthro Survey Analyser" to calculate these but in the default format, it can calculate the BMI for the age of under 5 years children (0-60 months) only (both in online anthro tool and offline anthro software).
So, how can I calculate the BMI for age, z score, and percentile of 10-17 years age group children using WHO Anthro Software or Online Survey Analyzer?
OMS
Dear colleagues,
I’m looking for a standard method to perform anthropometric measurements among newborn infants.
Does anybody have experience in the assessment of neonatal anthropometry.
Thank you in advance
Ron Clijsen
I have to run several simulation on which one of the entry data is the average (plus sigma) height of people at eye-level in two positions: Standing up and sitting down in an office chair.
Currently I have the average full height (plus sigma) of the population studied.
Any idea of how I can obtain those values ?
Prompted by a design project from students working on a height-adjustable product, I'm wondering whether there have been any studies into ergonomic / human-factors aspects of couples, such as height differences between partners.
Especially I find of interest the use of kinect and the determination of the measurements through photo.
It is my understanding that, regardless of the formula used, that RMR is 15% higher than BMR. So, theoretically, if one had BMR's from a large sample (humans), and just multiplied by 1.15, then one should have a reliable RMR for everyone, correct? Would anyone have any different advice or strategies for this?
We are doing a prevalence study on Obstructive sleep apnea (OSA). There is an established association with neck circumference. Neck circumference increases with height and there is a variable called PPNC to correct for this. PPNC also has an established association with OSA
PPNC = (1000 × NC) / [(0.55 × Height) +310]
The parameter is actually calculating the percentage of the neck circumference to the predicted NC for the height. The original paper by Davies & Stradling, 1990 seems to be unavailable online. The correction equation suggested therein is population-dependent.
Would the correction be valid for the population under our study, if the value of PPNC for the controls (assumed normal) does not include the 100% (i.e. the predicted normal circumference) mark within +/- 1 SD?
Does it point to the fact that the correction is not valid for our population, since the predicted normal circumference value is not found even among the un-diseased population?
Or is there any other parameter which could be used in such a situation?
Hello everyone,
in some biomechanical papers, the center of volume of a body segment is assumed to be equal to the center of mass. Is anyone aware of studies that provide statistical data on the three-dimensional spatial difference between the center of volume and mass for different body segments in female and male subjects?
So far, I could find some information in a technical report [1] (page 68f) using cadavers. They measured the percentage of body segment volume proximal to the center of mass. The positional difference is estimated to be "two to three centimeters" proximal.
Thank you in advance for your input.
[1] Clauser C, McConville J, Young J; Weight, volume and center of mass of segments of the human body; AMRL Technical Report; 1969
Dear all,
I have studied two populations of school boys (8-16 yrs age). The indices of malnutrition were calculated according to the classification of World Health Organization (WHO, 1995). Results shows that Population 2 has lower stunting values, but higher thinness and overweight values in comparison to population 1.
So, Which population has better nutritional status?
Can anybody answer the cause of this type of prevalence .
Is there any similar publication?
I am trying to build a scalable (based on anthropometry) multi-body model of adult human leg and thigh. Femur and tibia are represented by a set of segments (3-4) connected together with torsional springs to capture the bending of bones in Medio lateral and anterio posterior mode. The model is mainly aimed to capture and assess the injury risk in the medial lateral bending in case of pedestrian to automotive vehicle crashes.
3 point bending data of bones is available and there is considerable variation among the responses owing to the difference in length, geometry and other biological variation among specimens. Current models are based on optimizing the models response to the mean/average response of the specimen data. However this methodology does not take into account the cross sectional properties of bone and may only work in the validated case. To develop a generic model i wish to incorporate the bending stiffness calculated from beam theory into the torsional springs in the model. To do that i would need to know the variation of area moment of inertia through out the length of the bone. I have some CT data available to analyze this variation however i wish to know if this sort of work has already been done before. From the literature i have looked so far (Ruff et al.), this analysis has been done on archaeological bone specimens on a larger scale but i do not know the relevance of this older data.
If you can suggest me some authors and good articles it would be of great help. I am attaching a paper on the type of model i am talking about.
With disuse, say bed-rest, casting or micro-gravity, within what time-frame would phenotype muscle atrophy occur that is measurable ? Measured by anthropometry or some imaging technique. Limited to humans only,
In this study, the results showed an association between nutritional status with intelligence by using the correlation test. But it was not clearly stated in the abstract if the nutritional statuses, which were used in the analysis of correlation with intelligence, were by height for age or weight for age.
The journal must be exclusively on the SCI or SCIe list, interested in publishing comparative anthropometric data of eleven-year old children in Serbia (in time of sanctions and now).
The research is looking how BMI changes with age from 12yrs old to adult elite dancers and as I need to use percentiles for the adolescents I need equivalents for adults
I am searching for sources of information on anthropometric measures in order to make my project to graduate. the aim is to check if the bone structure is associated with increased fat mass.
I am searching for sources of information on anthropometric and psychomotor (e.g. force) changes occurring with age such as anthropometric atlases comparing general populations with elderly.
Researchers are familiar with how blunt the BMI (mass in kg divided by the square of stature in m) is at assessing fatness. My obervations, together with historic data from the work of Tyrell et al (1985), imply a shift by about one BMI unit within a 24 hour cycle, and greater values in children. I have long been concerned about the potential for mis-measurement, but misclassification arising from the asynchronous circadian rhythms of stature and mass have gone undetected. Ski jumpers commonly lie down for several hours prior to their stature measurement to enable them to jump using longer skis, thereby gaining a biomechanical advantage for their sports performance. I worry that borderline cases in medicine are not considered with the same diligence, because the ubiquitous use of BMI in clinical care pathways has hitherto not been informed of the potential for misclassification and poorer care as a consequence. My question is: Have other researchers noticed circadian fluctuation in BMI, and if so, by how much?
Tyrrell, A.R., Reilly, T. & Troup J.D.G. (1985). Circadian variation in stature and the effects of spinal loading. Spine 10, 161-164.
In a community based cross-sectional research, socio-demographic variables and anthropometry is assessed by qualitative questionnaire and measurements. Most of the time deficiency of micronutrients have to be associated with various socio-demographic variables like, family-size, family income, dietary habits, water sources etc. What are the socio-demographic variables that need to be included for impact in public health policy of the Government?
