A quantitative assessment of variations in the palm surface area as a percentage of total body surface area within the general population

Liu, Tina C.; Bhatt, Rajan; Farrell, Kimberly; Baek, Stephen; Liu, Yuk Ming; Malek, Karim Abdel; Arora, Jasbir S.

doi:10.1504/ijhfms.2018.091359

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…There are many possibilities for this finding, and future studies should focus on which TBSA estimation methods and communication processes facilitated this finding. Prior studies did identify a potential difference in TBSA estimate between sexes [13]. It is possible that the findings were different in this study as compared to previous studies done by burn specialists due to research bias or other factors.…”

Section: Discussioncontrasting

confidence: 64%

Estimates of Total Burned Surface Area by Emergency Department Clinicians and Burn Specialists

Hahn

Roh

Price

et al. 2020

Cureus

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Introduction Correctly assessing burn size is extremely important since it is directly associated with a patient's subsequent management. Further, an accurate assessment of the total body surface area (TBSA) involved is crucial to decide if specialty care in a burn unit is necessary, whereby overestimation has the potential to lead to unnecessary patient transfers and undesirable burdens on the healthcare system and inconvenience to patients. The goal of this study was to identify whether burn injury estimates of TBSA percentage correlate between emergency department (ED) clinician and burn specialists. Methods This was a retrospective study conducted between February 1, 2018 and July 31, 2019 of patients with a burn injury who were evaluated by both an ED clinician and a burn specialist during the same ED visit. Charts were reviewed to identify the documentation of TBSA by prehospital personnel, ED nursing staff, ED mid-level providers (MLP), ED attending physicians, burn consultant MLPs, and burn consultant attending physicians. Results During the study period, 189 subjects with both an ED and burn consultant. The median age was 11 years [interquartile range (IQR) 1-49], and 103 (54%) were males. More than half of the subjects (n=106, 56%) were under the age of 18. There was a statistically significant correlation between estimates of TBSA between ED and burn consultants overall (p<0.0001). Furthermore, there was a statistically significant correlation between ED and burn MLPs (p<0.0001) as well as ED and burn attending physicians (p<0.0001). When adjusted for MLP and attending sex, there was still a correlation among all groups (p<0.0001). Conclusions In this study, there was a statistically significant correlation between estimates of TBSA between ED and burn consultants

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Section: Discussioncontrasting

confidence: 64%

Estimates of Total Burned Surface Area by Emergency Department Clinicians and Burn Specialists

Hahn

Roh

Price

et al. 2020

Cureus

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“…The dataset encloses digital 3D whole-body scans of subjects, which is a very unique feature. 3D whole-body scans have been studied in areas such as nutrition/obesity research [9][10][11], medicine/nursing [12,13], psychology/cognition of appearance [14,15], ergonomics/wearable product design [16], and more. However, this study is the first to use 3D whole-body scan data for modeling and analyzing the relationship between family income and body shapes.…”

Section: Introductionmentioning

confidence: 99%

Body shape matters: Evidence from machine learning on body shape-income relationship

Song

Baek

2021

PLoS ONE

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The association between physical appearance and income has been of central interest in social science. However, most previous studies often measured physical appearance using classical proxies from subjective opinions based on surveys. In this study, we use novel data, called CAESAR, which contains three-dimensional (3D) whole-body scans to mitigate possible reporting and measurement errors. We demonstrate the existence of significant nonclassical reporting errors in the reported heights and weights by comparing them with measured counterparts, and show that these discrete measurements are too sparse to provide a complete description of the body shape. Instead, we use a graphical autoencoder to obtain intrinsic features, consisting of human body shapes directly from 3D scans and estimate the relationship between body shapes and family income. We also take into account a possible issue of endogenous body shapes using proxy variables and control functions. The estimation results reveal a statistically significant relationship between physical appearance and family income and that these associations differ across genders. This supports the hypothesis on the physical attractiveness premium in labor market outcomes and its heterogeneity across genders.

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A quantitative assessment of variations in the palm surface area as a percentage of total body surface area within the general population

Cited by 2 publications

References 19 publications

Estimates of Total Burned Surface Area by Emergency Department Clinicians and Burn Specialists

Estimates of Total Burned Surface Area by Emergency Department Clinicians and Burn Specialists

Body shape matters: Evidence from machine learning on body shape-income relationship

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