Stature estimation in the South-East Asian population: A systematic review

N. A. Ismail, S. N. Abu Bakar, N. Abdullah, M. S. Shafie, Faridah Mohd. Nor

Research output: Contribution to journalArticle

Abstract

INTRODUCTION: Stature estimation is population dependent, and population-specific regression equations should be generated for accurate anthropological assessments. Nevertheless, stature estimation data was inaccessible and limited in some of the South-East Asian countries. The systematic review was conducted to analyse the regression equations of stature estimations developed in South-East Asian region. MATERIALS AND METHODS: A systematic literature search was performed through SCOPUS database and Google Scholar from January till March 2018. All published articles which developed stature estimation from different types of bone, methods and type of statures (i.e. living stature, forensic stature and cadaveric stature) were included in this study. Risks of biases were also assessed. Population studies with no regression equations were excluded from the study. RESULTS: Seven studies that met the inclusion criteria were identified. In the South-East Asia region, regression equations for stature estimation were developed in Thailand and Malaysia. In these studies, bone measurements were done either by radiography, direct bone measurement, or palpation on body surface for anatomical bony prominence. All of these studies used various parts of bones for stature estimation. CONCLUSION: The most widely used regression equations for stature estimation in South-East Asian population were from the Thailand population. Further research is recommended to develop regression equations for other South-East Asian countries.

Original languageEnglish
Pages (from-to)83-89
Number of pages7
JournalThe Malaysian journal of pathology
Volume41
Issue number2
Publication statusPublished - 1 Aug 2019

Fingerprint

Bone and Bones
Population
Thailand
Anthropology
Far East
Palpation
Malaysia
Radiography
Regression Analysis
Databases
Research

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Histology
  • Cell Biology

Cite this

Ismail, N. A., Abu Bakar, S. N., Abdullah, N., Shafie, M. S., & Mohd. Nor, F. (2019). Stature estimation in the South-East Asian population: A systematic review. The Malaysian journal of pathology, 41(2), 83-89.

Stature estimation in the South-East Asian population : A systematic review. / Ismail, N. A.; Abu Bakar, S. N.; Abdullah, N.; Shafie, M. S.; Mohd. Nor, Faridah.

In: The Malaysian journal of pathology, Vol. 41, No. 2, 01.08.2019, p. 83-89.

Research output: Contribution to journalArticle

Ismail, NA, Abu Bakar, SN, Abdullah, N, Shafie, MS & Mohd. Nor, F 2019, 'Stature estimation in the South-East Asian population: A systematic review', The Malaysian journal of pathology, vol. 41, no. 2, pp. 83-89.
Ismail, N. A. ; Abu Bakar, S. N. ; Abdullah, N. ; Shafie, M. S. ; Mohd. Nor, Faridah. / Stature estimation in the South-East Asian population : A systematic review. In: The Malaysian journal of pathology. 2019 ; Vol. 41, No. 2. pp. 83-89.
@article{f3dfcc51adbc44439ce99dfcf42d2698,
title = "Stature estimation in the South-East Asian population: A systematic review",
abstract = "INTRODUCTION: Stature estimation is population dependent, and population-specific regression equations should be generated for accurate anthropological assessments. Nevertheless, stature estimation data was inaccessible and limited in some of the South-East Asian countries. The systematic review was conducted to analyse the regression equations of stature estimations developed in South-East Asian region. MATERIALS AND METHODS: A systematic literature search was performed through SCOPUS database and Google Scholar from January till March 2018. All published articles which developed stature estimation from different types of bone, methods and type of statures (i.e. living stature, forensic stature and cadaveric stature) were included in this study. Risks of biases were also assessed. Population studies with no regression equations were excluded from the study. RESULTS: Seven studies that met the inclusion criteria were identified. In the South-East Asia region, regression equations for stature estimation were developed in Thailand and Malaysia. In these studies, bone measurements were done either by radiography, direct bone measurement, or palpation on body surface for anatomical bony prominence. All of these studies used various parts of bones for stature estimation. CONCLUSION: The most widely used regression equations for stature estimation in South-East Asian population were from the Thailand population. Further research is recommended to develop regression equations for other South-East Asian countries.",
author = "Ismail, {N. A.} and {Abu Bakar}, {S. N.} and N. Abdullah and Shafie, {M. S.} and {Mohd. Nor}, Faridah",
year = "2019",
month = "8",
day = "1",
language = "English",
volume = "41",
pages = "83--89",
journal = "Malaysian Journal of Pathology",
issn = "0126-8635",
publisher = "Malaysian Society of Pathologists",
number = "2",

}

TY - JOUR

T1 - Stature estimation in the South-East Asian population

T2 - A systematic review

AU - Ismail, N. A.

AU - Abu Bakar, S. N.

AU - Abdullah, N.

AU - Shafie, M. S.

AU - Mohd. Nor, Faridah

PY - 2019/8/1

Y1 - 2019/8/1

N2 - INTRODUCTION: Stature estimation is population dependent, and population-specific regression equations should be generated for accurate anthropological assessments. Nevertheless, stature estimation data was inaccessible and limited in some of the South-East Asian countries. The systematic review was conducted to analyse the regression equations of stature estimations developed in South-East Asian region. MATERIALS AND METHODS: A systematic literature search was performed through SCOPUS database and Google Scholar from January till March 2018. All published articles which developed stature estimation from different types of bone, methods and type of statures (i.e. living stature, forensic stature and cadaveric stature) were included in this study. Risks of biases were also assessed. Population studies with no regression equations were excluded from the study. RESULTS: Seven studies that met the inclusion criteria were identified. In the South-East Asia region, regression equations for stature estimation were developed in Thailand and Malaysia. In these studies, bone measurements were done either by radiography, direct bone measurement, or palpation on body surface for anatomical bony prominence. All of these studies used various parts of bones for stature estimation. CONCLUSION: The most widely used regression equations for stature estimation in South-East Asian population were from the Thailand population. Further research is recommended to develop regression equations for other South-East Asian countries.

AB - INTRODUCTION: Stature estimation is population dependent, and population-specific regression equations should be generated for accurate anthropological assessments. Nevertheless, stature estimation data was inaccessible and limited in some of the South-East Asian countries. The systematic review was conducted to analyse the regression equations of stature estimations developed in South-East Asian region. MATERIALS AND METHODS: A systematic literature search was performed through SCOPUS database and Google Scholar from January till March 2018. All published articles which developed stature estimation from different types of bone, methods and type of statures (i.e. living stature, forensic stature and cadaveric stature) were included in this study. Risks of biases were also assessed. Population studies with no regression equations were excluded from the study. RESULTS: Seven studies that met the inclusion criteria were identified. In the South-East Asia region, regression equations for stature estimation were developed in Thailand and Malaysia. In these studies, bone measurements were done either by radiography, direct bone measurement, or palpation on body surface for anatomical bony prominence. All of these studies used various parts of bones for stature estimation. CONCLUSION: The most widely used regression equations for stature estimation in South-East Asian population were from the Thailand population. Further research is recommended to develop regression equations for other South-East Asian countries.

UR - http://www.scopus.com/inward/record.url?scp=85071426538&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85071426538&partnerID=8YFLogxK

M3 - Article

C2 - 31427544

AN - SCOPUS:85071426538

VL - 41

SP - 83

EP - 89

JO - Malaysian Journal of Pathology

JF - Malaysian Journal of Pathology

SN - 0126-8635

IS - 2

ER -