Dataset

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Title of Dataset
Data from: Inter-Ethnic/Racial Facial Variations: A Systematic Review and Bayesian Meta-Analysis of Photogrammetric Studies
Author of Dataset
Wen, Yi Feng1
Lin, Ruitao2
Contact
Wong, Hai Ming1
Date of Dataset Creation
2015-08-06
Description
Background Numerous facial photogrammetric studies have been published around the world. We aimed to critically review these studies so as to establish population norms for various angular and linear facial measurements; and to determine inter-ethnic/racial facial variations. Methods and Findings A comprehensive and systematic search of PubMed, ISI Web of Science, Embase, and Scopus was conducted to identify facial photogrammetric studies published before December, 2014. Subjects of eligible studies were either Africans, Asians or Caucasians. A Bayesian hierarchical random effects model was developed to estimate posterior means and 95% credible intervals (CrI) for each measurement by ethnicity/race. Linear contrasts were constructed to explore inter-ethnic/racial facial variations. We identified 38 eligible studies reporting 11 angular and 18 linear facial measurements. Risk of bias of the studies ranged from 0.06 to 0.66. At the significance level of 0.05, African males were found to have smaller nasofrontal angle (posterior mean difference: 8.1°, 95% CrI: 2.2°–13.5°) compared to Caucasian males and larger nasofacial angle (7.4°, 0.1°–13.2°) compared to Asian males. Nasolabial angle was more obtuse in Caucasian females than in African (17.4°, 0.2°–35.3°) and Asian (9.1°, 0.4°–17.3°) females. Additional inter-ethnic/racial variations were revealed when the level of statistical significance was set at 0.10. Conclusions A comprehensive database for angular and linear facial measurements was established from existing studies using the statistical model and inter-ethnic/racial variations of facial features were observed. The results have implications for clinical practice and highlight the need and value for high quality photogrammetric studies.
Citation
Wen, YF, Wong, HM, Lin, R, Yin, G, McGrath, C. (2015). Data from: Inter-Ethnic/Racial Facial Variations: A Systematic Review and Bayesian Meta-Analysis of Photogrammetric Studies. [Data File]. All relevant data are within the paper and its Supporting Information files. Click on “Linked Publications” to access the publication and access supporting information on figshare at https://figshare.com/articles/_Inter_Ethnic_Racial_Facial_Variations_A_Systematic_Review_and_Bayesian_Meta_Analysis_of_Photogrammetric_Studies_/1504182
Subject (RGC Codes)
M2 — Medicine, Dentistry & Health — 醫學, 牙科學及保健
  • 1208 — Dentistry — 牙科學
Subject (ANZSRC)
11 — MEDICAL AND HEALTH SCIENCES — 醫學與衛生科學
  • 1105 — DENTISTRY — 牙科醫學
    • 110599 — Dentistry not elsewhere classified
Keyword
measurement
quality photogrammetric studies
isi
Photogrammetric Studies BackgroundNumerous
photogrammetric studies
caucasian
variation
asian
Affiliations
  1. Univ Hong Kong, Fac Dent, Paediat Dent & Orthodont, Hong Kong, Hong Kong, Peoples R China
  2. Univ Hong Kong, Fac Sci, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China
  3. Univ Hong Kong, Fac Dent, Periodontol & Publ Hlth, Hong Kong, Hong Kong, Peoples R China