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Stature estimation in the South-East Asian population: A systematic review
The Malaysian Journal of Pathology ; : 83-89, 2019.
Article in English | WPRIM | ID: wpr-750438
ABSTRACT
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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 SouthEast Asian population were from the Thailand population. Further research is recommended to develop regression equations for other South-East Asian countries.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Systematic reviews Language: English Journal: The Malaysian Journal of Pathology Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Systematic reviews Language: English Journal: The Malaysian Journal of Pathology Year: 2019 Type: Article