4 edition of Assessing the quality of anthropometric data found in the catalog.
Assessing the quality of anthropometric data
Includes bibliographical references (p. -45).
|Series||LSMS working paper,, no. 101|
|LC Classifications||RA645.N87 K67 1994|
|The Physical Object|
|Pagination||xi, 47 p. :|
|Number of Pages||47|
|LC Control Number||93047898|
surveys were reanalyzed to assess standard parameters of quality: standard deviation, skewness, and kurtosis of z-score values for 3 anthropometric indicators (weight for height, height for age, and weight for age), percentage of children with missing measurements and outlier values, digit preference, and. Anthropometry, the measurement of human dimensions, is a well-established field with techniques that have been honed over decades of work. The U.S. military, in particular, has performed a number of comprehensive anthropometric studies to provide information for use in the design of military clothing and equipment (Gordon et al., ).
The first interdisciplinary reference on the subject, the Handbook of Anthropometry brings this wide-ranging field together: basic theory and highly specialized topics in normal and abnormal anthropometry in terms of health, disease prevention, and intervention. Over self-contained chapters cover up-to-date indices, the latest studies on. Morphometry is introduced as quantitative approach to seek information concerning variations and changes in the forms of organisms that described the relationship between the human body and disease. Scientists of all civilization, who existed until today, examined the human body using anthropometric methods. For these reasons, anthropometric data are used in many contexts to screen for or.
Anthropometrics definition, the science of measuring the size and proportions of the human body (called anthropometry), especially as applied to the design of furniture and machines. See more. The anthropometric method is efficient, simple, and fast as well as considered the best approach in this area (). However, we faced challenges in performing anthropometric testing because of the orthopedic characteristics of patients with MMC (8,). OBJECTIVE.
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Assessing the quality of anthropometric data: background and illustrated guidelines for survey managers (English) Abstract. As systematic and random errors in anthropometry can have a great impact on the prevalence estimates of malnutrition, strict quality control of the fieldwork of anthropometry in household surveys is very by: Get this from a library.
Assessing the quality of anthropometric data: background and illustrated guidelines for survey managers. [Kees Kostermans]. The classic quality control methods are summarized and new methods, made possible with the use of personal computers during the fieldwork of household surveys, are offered.
These methods allow for an assessment of the quality of the gathered anthropometric data in general or for an assessment of the performance of a particular surveyor or. A comprehensive sourcebook of reference data for health professionals involved in evaluating people with abnormal features or syndromes.
It includes many graphs, tables, and charts needed by clinicians to define normal patterns of growth and provides standards of comparison for possible congenital abnormalities.
Anthropometry in the Assessment of HIV-Related Lipodystrophy. Pages Using Three-Dimensional (3D) Anthropometric Data in Design. Pages Niu, Jianwei (et al.) Handbook of Anthropometry Book Subtitle Physical Measures of Human Form in Health and Disease Editors. assessing girth measurements an anthropometric tape is also required to accurately locate a number of skinfold sites and mark distances from bony landmarks.
It is preferable that the tape. Assessing the quality of anthropometric data book assessment of nutritional status requires a series of stature, weight, and other anthropometric dimensions.
Anthropometry is the study of the measurement of the human body in terms of the dimensions of bone, muscle, and adipose (fat) tissue. Measures of subcutaneous adipose tissue are important because.
Anthropometric Data Table 1: Normalized Mass and Length of Body Segments (Standard Human) Center of Mass / Segment Mass / Segment Length Density Segment Total Body Mass Proximal Distal (kg/l) Hand Forearm Upper Arm Forearm and Hand Total Arm data quality assessment is a precondition for informing the users about the possible uses of the data, or which results could be published with or without a warning.
Indeed, without good approaches for data quality assessment statistical institutes are working in the blind and can. Accurate anthropometric data are critical to provide reliable information to policy makers, programme managers, researchers and advocates, especially in the nutrition field.
The quality of anthropometric data is also important in assessing how health and nutrition interventions are implemented and in guiding subsequent planning.
Aim: To describe how reliability assessment data in the WHO Multicentre Growth Reference Study (MGRS) were collected and analysed, and to present the results thereof.
Methods: There were two sources of anthropometric data (length, head and arm circumferences, triceps and subscapular skinfolds, and height) for these analyses. Importance of Anthropometric Data Anthropometry is a key component of nutrition status assessment in children and adults.
The NHANES anthropometry data have been used to track growth and weight trends in the U.S. population for more than 40 years (Flegal et al., ; Flegal et al., ; Ogden et al., ; Ogden et al., ).
Anthropometry is a key component of nutritional status assessment in children and adults (1). Anthropometric data for. children reflect general health status, dietary adequacy, and growth and development over time.
In adults, body measurement data are used to evaluate health and dietary status, disease risk, and body composition changes that more.
Requirements For High Quality Measurements. Errors in measurement cannot be avoided completely, but they can be minimized to a large extent. We propose that investigators pay special attention to following a quality assurance protocol comprising of six key steps for anthropometric measurements as depicted in the conceptual framework in Figure 1.
Anthropometric measurements (data) are normally distributed. For all collected data for male students, the normal distribution curves are hereby presented by Fig. 3 as the means to examine the shape and spread of all collected anthropometric data.
There has been less difference in the normal distribution curves for female students also. Biological plausibility, z-score SD, and digit preference are metrics commonly used to assess data quality of single anthropometric measures [3, 7–9], and our study showed excellent quality according to all three metrics.
In addition, the repeated measures in our study enabled analysis of inter- and intra-observer reliability. Best Practices for Quaity Data Coection Page 1 ANTHROPOMETRIC DATA IN THE DHS PROGRAM Anthropometric data were first collected in DHS surveys in Still today, height and weight measurements are obtained for children under age 5 and women age Anthropometric data is also increasingly being captured for men.
In some cases, waist. Anthropometric assessment is based on the study of a small number of somatic measurements. Its advantage is the simplicity of the collection and interpretation of data and the possibility of detecting changes by means of a follow-up within fixed time intervals.
The objective of the paper is to assess the diet and nutritional status of the tribal elderly (> or = 60 years) using data from a cross-sectional study carried out by National Nutrition Monitoring. gress in the standardization of anthropometry, which is the use of body measurements to assess the nutritional status of individuals and groups.
Although other meth ods have been employed for this purpose, including clini cal and biochemical techniques, none is as immediately applicable in purely practical terms as anthropometry.
Anthropometry Data Quality Measures The quality of anthropometric measurements cannot be captured with just a single indicator.
One data quality assessment tool is the standard deviation (SD) of anthropometric z-scores (Mei and Grummer- Strawn ). Mei and Grummer-Strawn () showed th at the SDs of the z-scores computed for 51 DHS.
Anthropometric evaluation is an essential feature of geriatric nutritional evaluation for determining malnutrition, being overweight, obesity, muscular mass loss, fat mass gain and adipose tissue redistribution.
Anthropometric indicators are used to evaluate the prognosis of chronic and acute diseases, and to guide medical intervention in the elderly.Accurate anthropometric measurements are paramount to providers adequately assessing the health of children and adolescents and in choosing appropriate treatments and interventions necessary to maintain or improve health.
This section covers common anthropometric measurements used to assess a child’s health during a routine well-child visit.