Literature DB >> 27019510

Diversity in human hair growth, diameter, colour and shape. An in vivo study on young adults from 24 different ethnic groups observed in the five continents.

Geneviève Loussouarn1, Isabelle Lozano1, Ségolène Panhard1, Catherine Collaudin1, Charles El Rawadi1, Gilles Genain1.   

Abstract

Based on previous findings, from a worldwide study, classified the shapes of human hair into 8 major types, from straight to highly curly. This clearly extended the usual classification of hair into African, Asian or Caucasian types. However, determinations of hair growth parameters and hair density were excluded from such studies. To measure and compare the hair growth profiles of young adults without alopecia living in the five continents. 2249 young adults (18-35 years, females and males) without alopecia, originating from 24 various human ethnic groups were included in the study. Total hair density, telogen percentage and growth rate on three different scalp areas were measured, using non-invasive validated techniques. Natural hair colour level, curliness and hair diameter were additionally recorded, when practically possible. Diversity in hair growth parameters among the entire cohort was a key finding, with differences linked to scalp area, gender and geographic origin. Statistical approaches depicted African hair as having lower density and a slower growth rate. Asian hair showed a thicker diameter, with faster growth. Caucasian hair showed a high total hair density. On the one hand, this inter-continental study of hair growth parameters provides initial valuable base-line data on hair in young adults without alopecia, and on the other hand, further extends our knowledge of this unique human appendage, with some mosaic features, observed worldwide.

Entities:  

Keywords:  hair; hair density; hair growth; telogen percentage

Mesh:

Year:  2016        PMID: 27019510     DOI: 10.1684/ejd.2015.2726

Source DB:  PubMed          Journal:  Eur J Dermatol        ISSN: 1167-1122            Impact factor:   3.328


  21 in total

Review 1.  Hair Aging in Different Races and Ethnicities.

Authors:  Mayra B C Maymone; Melissa Laughter; Samara Pollock; Iman Khan; Thaís Marques; Rana Abdat; Lynne J Goldberg; Neelam A Vashi
Journal:  J Clin Aesthet Dermatol       Date:  2021-01-01

2.  Exogen Hairs in Women with and without Hair Loss.

Authors:  Marcella Guarrera; Alfredo Rebora
Journal:  Skin Appendage Disord       Date:  2017-05-12

3.  Hair sampling for cortisol analysis with mother-toddler dyads living in low-income homes.

Authors:  Randi A Bates; Pamela J Salsberry; Jodi L Ford; Rita H Pickler; Jaclyn M Dynia; Laura M Justice
Journal:  Infant Behav Dev       Date:  2020-10-14

4.  A Prospective Six-month Single-blind Study Evaluating Changes in Hair Growth and Quality Using a Nutraceutical Supplement in Men and Women of Diverse Ethnicities.

Authors:  Thomas J Stephens; Sheryl Berkowitz; Tess Marshall; Sophia Kogan; Isabelle Raymond
Journal:  J Clin Aesthet Dermatol       Date:  2022-01

5.  Evaluation of Hair Density in Different Ethnicities in a Healthy American Population Using Quantitative Trichoscopic Analysis.

Authors:  Mathew R Birnbaum; Beth N McLellan; Jerry Shapiro; Kenny Ye; Sophia D Reid
Journal:  Skin Appendage Disord       Date:  2017-12-16

6.  Getting under the skin: Physiological stress and witnessing paternal arrest in young children with incarcerated fathers.

Authors:  Luke Muentner; Amita Kapoor; Lindsay Weymouth; Julie Poehlmann-Tynan
Journal:  Dev Psychobiol       Date:  2021-02-25       Impact factor: 3.038

7.  Development and validation of a liquid chromatography-tandem mass spectrometry method for quantifying delamanid and its metabolite in small hair samples.

Authors:  Andrew Reckers; Stella Huo; Ali Esmail; Keertan Dheda; Peter Bacchetti; Monica Gandhi; John Metcalfe; Roy Gerona
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2020-12-10       Impact factor: 3.205

8.  Variation of Hair Follicle Counts among Different Scalp Areas: A Quantitative Histopathological Study.

Authors:  Suthinee Rutnin; Kumutnart Chanprapaph; Kallapan Pakornphadungsit; Kanchana Leerunyakul; Yingluck Visessiri; Smith Srisont; Poonkiat Suchonwanit
Journal:  Skin Appendage Disord       Date:  2021-09-01

9.  Towards gender equity in artificial intelligence and machine learning applications in dermatology.

Authors:  Michelle S Lee; Lisa N Guo; Vinod E Nambudiri
Journal:  J Am Med Inform Assoc       Date:  2022-01-12       Impact factor: 7.942

10.  Meta-analysis of genome-wide association studies identifies 8 novel loci involved in shape variation of human head hair.

Authors:  Fan Liu; Yan Chen; Gu Zhu; Pirro G Hysi; Sijie Wu; Kaustubh Adhikari; Krystal Breslin; Ewelina Pospiech; Merel A Hamer; Fuduan Peng; Charanya Muralidharan; Victor Acuna-Alonzo; Samuel Canizales-Quinteros; Gabriel Bedoya; Carla Gallo; Giovanni Poletti; Francisco Rothhammer; Maria Catira Bortolini; Rolando Gonzalez-Jose; Changqing Zeng; Shuhua Xu; Li Jin; André G Uitterlinden; M Arfan Ikram; Cornelia M van Duijn; Tamar Nijsten; Susan Walsh; Wojciech Branicki; Sijia Wang; Andrés Ruiz-Linares; Timothy D Spector; Nicholas G Martin; Sarah E Medland; Manfred Kayser
Journal:  Hum Mol Genet       Date:  2018-02-01       Impact factor: 6.150

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