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Asian Pacific Journal of Cancer... Feb 2022Breast surgery requires a high aesthetic outcome and should be individualized according to anthropometric breast and body characteristics. This study aimed to measure...
OBJECTIVES
Breast surgery requires a high aesthetic outcome and should be individualized according to anthropometric breast and body characteristics. This study aimed to measure the anthropometric parameters and volume of Vietnamese female breasts and their application in breast surgery.
SUBJECTS AND METHODS
A cross-sectional descriptive study enrolled 240 women treated at Vietnam National Cancer Hospital aged 18 to 78 years old. The measurements were obtained with the patient sitting upright in the anatomic position based on key landmarks and breast volume was also assessed. Differences in breast anthropometric measurements and breast volume were compared between groups of age, BMI, and the number of children. The correlation between breast volume calculated by anthropometric method and surgical specimen volume was evaluated to determine the accuracy of this method.
RESULTS
The mean values of the right and left breast volumes are less statistically different. Mean breast volume of the right breast and left breast were 396.1±182.3ml and 399.4±182.2ml, respectively. The proportion of breast ptosis increased with age (p=0.027), Body mass index (p<0.0001), and the number of children (p=0.004). The most important factor affecting the size and shape of the breast was body mass index (BMI). Mastectomy specimen volume and breast volume calculated by the anthropometric method are highly correlated with r=0.966.
CONCLUSIONS
The results of this study should be applied in clinical practice in breast surgery for Vietnamese women.
.Topics: Adolescent; Adult; Age Factors; Aged; Anatomic Landmarks; Anthropometry; Asian People; Body Mass Index; Breast; Cross-Sectional Studies; Female; Gravidity; Humans; Mastectomy; Middle Aged; Organ Size; Pregnancy; Sitting Position; Vietnam; Young Adult
PubMed: 35225480
DOI: 10.31557/APJCP.2022.23.2.665 -
Annals of Emergency Medicine Oct 2016We seek to collect, review, evaluate, and synthesize the current literature focusing on all published methods of pediatric weight estimation. (Review)
Review
STUDY OBJECTIVE
We seek to collect, review, evaluate, and synthesize the current literature focusing on all published methods of pediatric weight estimation.
METHODS
We conducted a literature review using PubMed and Web of Science databases, and the Google Scholar search engine, with the "similar articles" feature, as well as review of the bibliographies of identified studies. We excluded studies estimating weight of neonates, predominantly adults without separate information for children, child self-reported weight, and studies estimating outcomes other than weight. Quantitative outcomes of accuracy (proportion within 10% of actual weight), mean percentage error, and mean bias were preferred.
RESULTS
Eighty studies met inclusion criteria with predominant methods: parent or health care worker weight estimation, age-based formulae, and length-based estimation without (eg, Broselow) or with adjustment for body habitus (eg, Pediatric Advanced Weight-Prediction in the Emergency Room, Mercy). Parent estimation was the most accurate at predicting total (actual) body weight, with length-based methods with habitus adjustment next. Length-based methods outperformed age-based formulae, and both tended to underestimate the weight of children from populations with high obesity rates and overestimate the weight of children from populations with high malnourishment rates. Health care worker estimation was not accurate.
CONCLUSION
Parent estimation and length-based methods with adjustment for body habitus are the most accurate methods to predict children's total (actual) body weight. Age-based formulae and length-based methods without habitus adjustment likely tend to predict ideal body weight.
Topics: Adolescent; Anthropometry; Body Weight; Child; Child, Preschool; Emergency Service, Hospital; Female; Humans; Infant; Infant, Newborn; Male
PubMed: 27105839
DOI: 10.1016/j.annemergmed.2016.02.043 -
Australian Critical Care : Official... Jan 2021Critically ill patients experience acute muscle wasting and long-term functional impairments, yet this has been inadequately categorised early in recovery. (Observational Study)
Observational Study
BACKGROUND
Critically ill patients experience acute muscle wasting and long-term functional impairments, yet this has been inadequately categorised early in recovery.
OBJECTIVE
This observational study aimed to evaluate anthropometry, strength, and muscle function after intensive care unit discharge.
METHODS
Adult patients able to complete study measures after prolonged intensive care unit stay (≥5 d) were eligible. Demographic and clinical data were collected, and bodyweight, height, triceps skinfold, trunk length, handgrip strength, 6-minute walk test, whole-body dual-energy x-ray absorptiometry, and mid-thigh, knee, and above-ankle circumferences were measured. Body cell mass was calculated from these data. Data are presented as mean (standard deviation) or median [interquartile range].
RESULTS
Fourteen patients (50% male; 57 [10.5] years) were assessed 11.1 (6.9) d after intensive care unit discharge. Patients lost 4.76 (6.66) kg in the intensive care unit. Triceps skinfold thickness (17.00 [8.65] mm) and handgrip strength (12.60 [8.57] kg) were lower than normative data. No patient could commence the 6-minute walk test. Dual-energy x-ray absorptiometry-derived muscle mass correlated with handgrip strength (R = 0.57; 95% confidence interval = 0.06-0.85; p = 0.03), but body cell mass did not.
CONCLUSIONS
Anthropometry and strength in intensive care unit survivors are below normal. Muscle mass derived from dual-energy x-ray absorptiometry correlates with handgrip strength but body cell mass does not.
Topics: Anthropometry; Body Weight; Critical Illness; Female; Hand Strength; Humans; Male; Survivors
PubMed: 32727702
DOI: 10.1016/j.aucc.2020.05.007 -
Work (Reading, Mass.) 2019It is important for the designers and manufacturers to produce products with good usability and fit. The Korean anthropometric database is important as Korean industries... (Review)
Review
BACKGROUND
It is important for the designers and manufacturers to produce products with good usability and fit. The Korean anthropometric database is important as Korean industries focus on developing products with better usability.
OBJECTIVE
To investigate how well the present national Size Korea anthropometric database adopted by companies and industries in Korea, in particular how well the dynamic anthropometric data are adopted.
METHODS
The investigation methodology consisted of three stages: literature review, expert review and in-depth interviews. The literature review was based on a PubMed search. An online survey of 1,000 Korean civilians was carried out using a questionnaire developed by experts in anthropometry. Finally, industry professionals and professors participated in in-depth interviews.
RESULTS
The anthropometric data appear to be used mainly by universities and research institutions in Korea. Many industries including the automobile, medical, shipping, mattress and construction industries need dynamic anthropometric data, such as range of motion, angle between body parts, spinal curvature, centre of pressure and so on.
CONCLUSIONS
The Size Korea database-building process needs to be modified to take into account the needs of companies and industries.
Topics: Adult; Anthropometry; Databases, Factual; Female; Humans; Interviews as Topic; Male; Middle Aged; Qualitative Research; Republic of Korea; Software Design; Surveys and Questionnaires
PubMed: 30689594
DOI: 10.3233/WOR-182845 -
Frontiers in Endocrinology 2022
Topics: Anthropometry; Humans; Metabolic Syndrome; Waist Circumference
PubMed: 36004337
DOI: 10.3389/fendo.2022.951571 -
International Journal of Epidemiology Apr 2015Associations between anthropometry and head and neck cancer (HNC) risk are inconsistent. We aimed to evaluate these associations while minimizing biases found in... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Associations between anthropometry and head and neck cancer (HNC) risk are inconsistent. We aimed to evaluate these associations while minimizing biases found in previous studies.
METHODS
We pooled data from 1,941,300 participants, including 3760 cases, in 20 cohort studies and used multivariable-adjusted Cox proportional hazard regression models to estimate hazard ratios (HR) and 95% confidence intervals (CI) for the association of anthropometric measures with HNC risk overall and stratified by smoking status.
RESULTS
Greater waist circumference (per 5 cm: HR = 1.04, 95% CI 1.03-1.05, P-value for trend = <0.0001) and waist-to-hip ratio (per 0.1 unit: HR = 1.07, 95% CI 1.05-1.09, P-value for trend = <0.0001), adjusted for body mass index (BMI), were associated with higher risk and did not vary by smoking status (P-value for heterogeneity = 0.85 and 0.44, respectively). Associations with BMI (P-value for interaction = <0.0001) varied by smoking status. Larger BMI was associated with higher HNC risk in never smokers (per 5 kg/m(2): HR = 1.15, 95% CI 1.06-1.24, P-value for trend = 0.0006), but not in former smokers (per 5 kg/m(2): HR = 0.99, 95% CI 0.93-1.06, P-value for trend = 0.79) or current smokers (per 5 kg/m(2): HR = 0.76, 95% CI 0.71-0.82, P-value for trend = <0.0001). Larger hip circumference was not associated with a higher HNC risk. Greater height (per 5 cm) was associated with higher risk of HNC in never and former smokers, but not in current smokers.
CONCLUSIONS
Waist circumference and waist-to-hip ratio were associated positively with HNC risk regardless of smoking status, whereas a positive association with BMI was only found in never smokers.
Topics: Adult; Aged; Aged, 80 and over; Anthropometry; Body Height; Body Mass Index; Cohort Studies; Female; Head and Neck Neoplasms; Humans; Male; Middle Aged; Smoking; Waist Circumference; Waist-Hip Ratio; Young Adult
PubMed: 26050257
DOI: 10.1093/ije/dyv059 -
Applied Ergonomics Jan 2023This paper presents a shape classification scheme for the female torso, based on anthropometric measurements and 3D body scans from a large scale anthropometric survey....
This paper presents a shape classification scheme for the female torso, based on anthropometric measurements and 3D body scans from a large scale anthropometric survey. The ability to classify the female body shape is highly desired by the clothing industry and apparel researchers for improving pattern design and fit. In order to objectively classify female torso shapes, we employed principal component analysis on torso related anthropometric measurements and three-dimensional (3D) torso surface data to identify the most dominant measurements. The principal component analysis of the anthropometric measurements show that Waist Circumference is the most dominant variable to define overall female torso size, and that Chest-Waist Drop and Waist-Buttock Drop jointly define the local shape of the torso. Using these findings, a torso shape classification scheme was developed, where nine shape categories were defined from Chest-Waist Drop and Waist-Buttock Drop while torso sizes were divided by Waist Circumference. The distribution of nine shape categories is dependent on the value of Waist Circumference. Mean shape of each shape category was then generated from 3D scans.
Topics: Humans; Female; Anthropometry; Torso; Principal Component Analysis; Abdomen; Body Mass Index
PubMed: 36126362
DOI: 10.1016/j.apergo.2022.103904 -
PloS One 2023General obesity is a recognized risk factor for various metabolically related diseases, including hypertension, dyslipidemia, and pre-diabetes. In epidemiological...
General obesity is a recognized risk factor for various metabolically related diseases, including hypertension, dyslipidemia, and pre-diabetes. In epidemiological studies, anthropometric variables such as height and weight are often self-reported. However, misreporting of self-reported data may bias estimates of associations between anthropometry and health outcomes. Further, few validation studies have compared self-reported and measured waist circumference (WC). This study aimed to quantify the agreement between self-reported and measured height, weight, body mass index (BMI), WC, and waist-to-height ratio (WHtR), and to investigate associations of these anthropometric measures with cardiometabolic biomarkers. A total of 39,514 participants aged above 18 years were included into the Diet, Cancer, and Health-Next Generation Cohort in 2015-19. Self-reported and measured anthropometric variables, blood pressure, and cardiometabolic biomarkers (HbA1c, lipid profiles, C-reactive protein and creatinine) were collected by standard procedures. Pearson correlations (r) and Lin's concordance correlations were applied to evaluate misreporting. Misreporting by age, sex and smoking status was investigated in linear regression models. Multivariable regression models and Receiver Operating Characteristic analyses assessed associations of self-reported and measured anthropometry with cardiometabolic biomarkers. Self-reported height was overreported by 1.07 cm, and weight was underreported by 0.32 kg on average. Self-reported BMI and WC were 0.42 kg/m2 and 0.2 cm lower than measured, respectively. Self-reported and measured height, weight, BMI, WC and WtHR were strongly correlated (r = 0.98, 0.99, 0.98, 0.88, 0.86, respectively). Age, sex, smoking, and BMI contributed to misreporting of all anthropometric measures. Associations between self-reported or measured anthropometric measures and cardiometabolic biomarkers were similar in direction and strength. Concordance between self-reported and measured anthropometric measures, including WC, was very high. Self-reported anthropometric measures were reliable when estimating associations with cardiometabolic biomarkers.
Topics: Humans; Aged; Cohort Studies; Self Report; Anthropometry; Body Mass Index; Risk Factors; Hypertension; Waist Circumference; Biomarkers; Denmark; Waist-Height Ratio
PubMed: 37498855
DOI: 10.1371/journal.pone.0279795 -
Public Health Apr 2016To investigate methodological aspects in body fat (BF) measurements in 7-to-10-year-old children. (Review)
Review
OBJECTIVE
To investigate methodological aspects in body fat (BF) measurements in 7-to-10-year-old children.
STUDY DESIGN
Systematic review of the literature.
METHODS
The studies were chosen from the PubMed and Scielo databases according to a protocol that defined: inclusion criteria; a search and quality-assessment strategy; and information extraction.
RESULTS
27 studies published from 2004 to 2014 were included. The literature describes skinfold measurements and dual energy X-ray absorptiometry (DEXA) as being the reference methods most widely used in the assessment of the ability of methods to identify BF. The most commonly-used statistical analyses were the Pearson correlation coefficient, and sensitivity and specificity performance analyses. The comparison between the tested methods and the references showed that body mass index (BMI) and waist circumference (WC) are strongly correlated to BF as calculated by bioelectrical impedance or skinfolds, and that there is a moderate positive correlation with percent body fat as calculated by DEXA, air-displacement plethysmography (ADP) or isotope dilution. There was a moderate positive correlation between waist-to-height ratio (WHtR) and BF, as estimated by ADP and skinfolds. Performance studies suggest that BMI and WC are very specific but less sensitive methods.
CONCLUSIONS
The results of this systematic review show favourable evidence for the use of anthropometric indicators - above all BMI and WC- in the measurement of BF, when more accurate techniques such as DEXA and ADP are not feasible. They also demonstrate features that make them advantageous for epidemiological studies in a child population, since they are easy and safe to obtain and well tolerated by the children.
Topics: Absorptiometry, Photon; Adipose Tissue; Anthropometry; Body Mass Index; Child; Electric Impedance; Humans; Sensitivity and Specificity; Skinfold Thickness; Waist Circumference
PubMed: 26774698
DOI: 10.1016/j.puhe.2015.11.025 -
Legal Medicine (Tokyo, Japan) Mar 2016Personal identification in the forensic context commonly concerns unknown decedents. However, recently there has been an increase in cases which require identification... (Review)
Review
Personal identification in the forensic context commonly concerns unknown decedents. However, recently there has been an increase in cases which require identification of living persons, especially from surveillance systems. These cases bring about a relatively new challenge for forensic anthropologists and pathologists concerning the selection of the most suitable methodological approaches with regard to the limitations of the photographic representation of a given person for individualization and identity. Facial features are instinctively the primary focus for identification approaches. However, other body parts (e.g. hands), and body height and gait (on videos) have been considered in cases of personal identification. This review aims at summarizing the state-of-the-art concerning the identification of the living on images and videos, including a critical evaluation of the advantages and limitations of different methods. Recommendations are given in order to aid forensic practitioners who face cases of identification of living persons.
Topics: Anthropometry; Body Height; Facial Recognition; Forensic Anthropology; Gait; Humans; Photography; Video Recording
PubMed: 26980255
DOI: 10.1016/j.legalmed.2016.02.001