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European Journal of Vascular and... Nov 1997
Topics: Anthropometry; Humans; Infrared Rays; Leg; Venous Insufficiency
PubMed: 9413388
DOI: 10.1016/s1078-5884(97)80297-3 -
The Angle Orthodontist Jul 1968
Topics: Anthropometry; Asian People; Black People; Cephalometry; Face; Humans; Indians, North American; Racial Groups; White People
PubMed: 5242878
DOI: 10.1043/0003-3219(1968)038<0175:CR>2.0.CO;2 -
Archives of Disease in Childhood Jan 2001
Topics: Anthropometry; Body Height; Body Weight; Child; Child, Preschool; Growth; Humans; Infant
PubMed: 11213779
DOI: 10.1136/adc.84.1.89c -
Maternal & Child Nutrition Oct 2015The objective was to investigate the association of maternal weight, height and body composition with fetal growth. We recruited 425 women at the University Hospital of...
The objective was to investigate the association of maternal weight, height and body composition with fetal growth. We recruited 425 women at the University Hospital of the West Indies, Jamaica, who had singleton pregnancies, were less than 15 weeks gestation and had no systemic illness. Maternal weight, height and skinfold thicknesses were measured at the first antenatal visit and lean mass was calculated. Sonographic measurements of the fetus were made at 15, 25 and 35 weeks gestation. Weight, crown-heel length and head circumference were measured at birth. Analyses were confined to 360 (85%) women; 65 women did not complete the study. Maternal height was positively associated with femoral length at 25 and 35 weeks gestation and with head circumference at 35 weeks (all P < 0.02). Maternal weight was positively associated with abdominal circumference and femoral length at 25 weeks, and with larger head and abdominal circumference and longer femur at 35 weeks (all P < 0.02). Maternal lean mass had similar associations to maternal weight and they were both positively associated with estimated fetal weight (all P < 0.02). All three maternal measurements were positively associated with birthweight, length and head circumference. Maternal size was associated with fetal size as early as 25 weeks gestation, with height strongly associated with femoral length, and with weight and lean mass strongly associated with abdominal circumference.
Topics: Adult; Anthropometry; Birth Weight; Body Height; Body Weight; Crown-Rump Length; Female; Fetal Development; Humans; Jamaica; Pregnancy; Skinfold Thickness; Ultrasonography, Prenatal; Young Adult
PubMed: 23241104
DOI: 10.1111/mcn.12027 -
BMC Pediatrics Sep 2020Accurate anthropometric measurements are essential for assessing nutritional status, monitoring child growth, and informing clinical care. We aimed to improve height...
BACKGROUND
Accurate anthropometric measurements are essential for assessing nutritional status, monitoring child growth, and informing clinical care. We aimed to improve height measurements of hospitalized pediatrics patients through implementation of gold standard measurement techniques.
METHODS
A quality improvement project implemented computerized training modules on anthropometry and standardized wooden boards for height measurements in a tertiary children's hospital. Heights were collected pre- and post-intervention on general pediatric inpatients under 5 years of age. Accuracy of height measurements was determined by analyzing the variance and by comparing to World Health Organization's defined biologically plausible height-for-age z-scores. Qualitative interviews assessed staff attitudes.
RESULTS
Ninety-six hospital staff completed the anthropometry training. Data were available on 632 children pre- and 933 post-intervention. Training did not increase the proportion of patients measured for height (78.6% pre-intervention vs. 75.8% post-intervention, p = 0.19). Post-intervention, wooden height boards were used to measure height of 34.8% patients, while tape measures and wingspan accounted for 42.0% and 3.5% of measurements, respectively. There was no improvement in the quality of height measurements based on plausibility (approximately 3% height-for-age z-scores measurements flagged out of range pre- and post-intervention), digit preference (13.4% of digits pre- and 12.3% post-intervention requiring reclassification), or dispersion of measurements (height-for-age z-scores standard deviation 1.9 pre- and post-intervention). Staff reported that using the wooden board was too labor consuming and cumbersome.
CONCLUSIONS
Our findings suggest that efforts to improve anthropometric measurements of hospitalized children have multiple obstacles, and further investigation of less cumbersome methods of measurements may be warranted.
Topics: Anthropometry; Body Height; Body Weight; Child; Family; Hospitals, Pediatric; Humans; Inpatients; Nutritional Status
PubMed: 32883257
DOI: 10.1186/s12887-020-02289-1 -
PloS One 2018The usefulness of anthropometry to define childhood malnutrition is undermined by poor measurement quality, which led to calls for new measurement approaches. We...
The usefulness of anthropometry to define childhood malnutrition is undermined by poor measurement quality, which led to calls for new measurement approaches. We evaluated the ability of a 3D imaging system to correctly measure child stature (length or height), head circumference and arm circumference. In 2016-7 we recruited and measured children at 20 facilities in and around metro Atlanta, Georgia, USA; including at daycare, higher education, religious, and medical facilities. We selected recruitment sites to reflect a generally representative population of Atlanta and to oversample newborns and children under two years of age. Using convenience sampling, a total of 474 children 0-5 years of age who were apparently healthy and who were present at the time of data collection were included in the analysis. Two anthropometrists each took repeated manual measures and repeated 3D scans of each child. We evaluated the reliability and accuracy of 3D scan-derived measurements against manual measurements. The mean child age was 26 months, and 48% of children were female. Based on reported race and ethnicity, the sample was 42% Black, 28% White, 8% Asian, 21% multiple races, other or race not reported; and 16% Hispanic. Measurement reliability of repeated 3D scans was within 1 mm of manual measurement reliability for stature, head circumference and arm circumference. We found systematic bias when analyzing accuracy-on average 3D imaging overestimated stature and head circumference by 6 mm and 3 mm respectively, and underestimated arm circumference by 2 mm. The 3D imaging system used in this study is reliable, low-cost, portable, and can handle movement; making it ideal for use in routine nutritional assessment. However, additional research, particularly on accuracy, and further development of the scanning and processing software is needed before making policy and clinical practice recommendations on the routine use of 3D imaging for child anthropometry.
Topics: Anthropometry; Asian People; Body Height; Body Weight; Cephalometry; Child Development; Child Nutrition Disorders; Child, Preschool; Ethnicity; Female; Georgia; Humans; Imaging, Three-Dimensional; Infant; Infant, Newborn; Male; Software
PubMed: 30356325
DOI: 10.1371/journal.pone.0205320 -
Arquivos Brasileiros de Cardiologia Oct 2021
Topics: Anthropometry; Cardiovascular Diseases; Humans; Waist Circumference
PubMed: 34709298
DOI: 10.36660/abc.20210716 -
PloS One 2018Expressing anthropometric parameters (height, weight, BMI) as z-score is a key principle in the clinical assessment of children and adolescents. The Centre for Disease...
BACKGROUND
Expressing anthropometric parameters (height, weight, BMI) as z-score is a key principle in the clinical assessment of children and adolescents. The Centre for Disease Control and Prevention (CDC) growth charts and the CDC-LMS method for z-score calculation are widely used to assess growth and nutritional status, though they can be imprecise in some percentiles.
OBJECTIVE
To improve the accuracy of z-score calculation by revising the statistical method using the original data used to develop current z-score calculators.
DESIGN
A Gaussian Process Regressions (GPR) was designed and internally validated. Z-scores for weight-for-age (WFA), height-for-age (HFA) and BMI-for-age (BMIFA) were compared with WHO and CDC-LMS methods in 1) standard z-score cut-off points, 2) simulated population of 3000 children and 3) real observations 212 children aged 2 to 18 yo.
RESULTS
GPR yielded more accurate calculation of z-scores for standard cut-off points (p<<0.001) with respect to CDC-LMS and WHO approaches. WFA, HFA and BMIFA z-score calculations based on the 3 different methods using simulated and real patients, showed a large variation irrespective of gender and age. Z-scores around 0 +/- 1 showed larger variation than the values above and below +/- 2.
CONCLUSION
The revised z-score calculation method was more accurate than CDC-LMS and WHO methods for standard cut-off points. On simulated and real data, GPR based calculation provides more accurate z-score determinations, and thus, a better classification of patients below and above cut-off points. Statisticians and clinicians should consider the potential benefits of updating their calculation method for an accurate z-score determination.
Topics: Anthropometry; Body Height; Body Mass Index; Body Weight; Child; Child, Preschool; Female; Humans; Infant; Infant, Newborn; Male; Nutritional Status; Regression Analysis
PubMed: 30571681
DOI: 10.1371/journal.pone.0208362 -
Scientific Reports May 2023We aimed to compare the relationship between hypertension and obesity-related anthropometric indices (waist circumference [WC], waist-height ratio, waist-hip ratio...
We aimed to compare the relationship between hypertension and obesity-related anthropometric indices (waist circumference [WC], waist-height ratio, waist-hip ratio [WHR], and body mass index; unconventional: new body shape index [ABSI] and body roundness index [BRI]) to identify best predictors of new-onset hypertension. The study included 4123 adult participants (2377 women). Hazard ratios (HRs) and 95% confidence intervals (CIs) were determined using a Cox regression model to estimate the risk of new-onset hypertension with respect to each obesity index. In addition, we assessed the predictive value of each obesity index for new-onset hypertension using area under the receiver operating characteristic curve (AUC) after adjusting for common risk factors. During the median follow-up of 2.59 years, 818 (19.8%) new hypertension cases were diagnosed. The non-traditional obesity indices BRI and ABSI had predictive value for new-onset hypertension; however, they were not better than the traditional indexes. WHR was the best predictor of new-onset hypertension in women aged ≤ 60 and > 60 years, with HRs of 2.38 and 2.51 and AUCs of 0.793 and 0.716. However, WHR (HR 2.28, AUC = 0.759) and WC (HR 3.24, AUC = 0.788) were the best indexes for predicting new-onset hypertension in men aged ≤ 60 and > 60 years, respectively.
Topics: Adult; Male; Humans; Female; Predictive Value of Tests; Obesity; Hypertension; Risk Factors; Anthropometry; Body Mass Index; Waist Circumference; Waist-Hip Ratio; ROC Curve; Waist-Height Ratio
PubMed: 37179428
DOI: 10.1038/s41598-023-34969-0 -
PloS One 2020Tape measurement is a commonly used method in the clinical assessment of lymphedema. However, few studies have assessed the precision and reliability of tape measurement...
OBJECTIVES
Tape measurement is a commonly used method in the clinical assessment of lymphedema. However, few studies have assessed the precision and reliability of tape measurement in assessing head and neck lymphedema. This study aimed to evaluate the reliability and precision of using tape measurement, performed by different evaluators, for the assessment of head and neck lymphedema.
METHODS
This study was conducted at a tertiary care cancer hospital. Between January and December 2019, 50 patients with head and neck cancers and 50 normal subjects were enrolled. Each subject was examined using tape measurements for 7 point-to-point distances of facial landmarks, 3 circumferences of the neck (upper, middle, and lower), and 2 circumferences of the face (vertical and oblique) by 3 random examiners. Test precision and reliability were assessed with the within-subject standard deviation (Sw) and intra-class correlation coefficient (ICC), respectively.
RESULTS
Overall, the standard deviation of the tape measurements varied in the range of 4.6 mm to 18.3 mm. The measurement of distance between the tragus and mouth angle (Sw: 4.6 mm) yielded the highest precision, but the reliability (ICC: 0.66) was moderate. The reliabilities of neck circumference measurements (ICC: 0.90-0.95) were good to excellent, but the precisions (Sw: 8.3-12.3 mm) were lower than those of point-to-point facial measurements (Sw: 4.6-8.8 mm).
CONCLUSIONS
The different methods of tape measurements varied in precision and reliability. Thus, clinicians should not rely on a single measurement when evaluating head and neck lymphedema.
Topics: Adult; Anthropometry; Body Weights and Measures; Dimensional Measurement Accuracy; Female; Head; Humans; Lymphedema; Male; Middle Aged; Neck; Reproducibility of Results
PubMed: 32421740
DOI: 10.1371/journal.pone.0233395