Simple linear regression approach for evaluating models to estimate stature based on upper limb dimensions of adult Bangladeshi males

Background: The stature of a living human reflects the nutritional, genetic, and disease patterns of individual experiences. This study adopted a simple linear regression method and R2 values to identify the preferred model for stature estimation based on the lengths of the arm, radius, ulna, and ha...

Full description

Saved in:
Bibliographic Details
Main Authors: M Tanveer Hossain Parash, Mohammad Mostafzur Rahman, Humaira Naushaba, Sharmin Haque, Sadia Choudhury Shimmi
Format: Article
Language:English
English
Published: Springer 2022
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/33515/1/Simple%20linear%20regression%20approach%20for%20evaluating%20models%20to%20estimate%20stature%20based%20on%20upper%20limb%20dimensions%20of%20adult%20Bangladeshi%20males.pdf
https://eprints.ums.edu.my/id/eprint/33515/3/Simple%20linear%20regression%20approach%20for%20evaluating%20models%20to%20estimate%20stature%20based%20on%20upper%20limb%20dimensions%20of%20adult%20Bangladeshi%20males%20_ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/33515/
https://ejfs.springeropen.com/track/pdf/10.1186/s41935-022-00277-3.pdf
https://doi.org/10.1186/s41935-022-00277-3
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Sabah
Language: English
English
id my.ums.eprints.33515
record_format eprints
spelling my.ums.eprints.335152022-07-25T01:18:02Z https://eprints.ums.edu.my/id/eprint/33515/ Simple linear regression approach for evaluating models to estimate stature based on upper limb dimensions of adult Bangladeshi males M Tanveer Hossain Parash Mohammad Mostafzur Rahman Humaira Naushaba Sharmin Haque Sadia Choudhury Shimmi RB24-33 Pathological anatomy and histology Background: The stature of a living human reflects the nutritional, genetic, and disease patterns of individual experiences. This study adopted a simple linear regression method and R2 values to identify the preferred model for stature estimation based on the lengths of the arm, radius, ulna, and hand; breadth of the hand; and circumference of the wrist of the adult Bangladeshi male population. This cross-sectional study was performed in the Anatomy Department of Sir Salimullah Medical College, Dhaka, from January 2009 to June 2011. One hundred right-handed adult Muslim Bangladeshi males aged 25 to 45 years participated in the study. Results: The regression model using right and left ulnar length explained 63% of the measured stature with the least standard error of the estimate (0.435 and 0.436), the model using left and right arm length explained 60%, the model using left and right radius length explained 51%, and the model using left- and right-hand length explained 44% of the measured stature. However, the models using left and right handbreadth and wrist circumference explained only 11 to 13% of the measured stature with a higher standard error of the estimate (6.66 to 6.73). For 25- to 45-year-old Bangladeshi Muslim males, the ulnar length of both sides was the best predictor of stature. Conclusions: Linear regression equations in estimating stature effectively may encourage its application in future studies addressing different age groups, sexes, nutritional statuses, religions, and ethnicities of Bangladesh. Springer 2022 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/33515/1/Simple%20linear%20regression%20approach%20for%20evaluating%20models%20to%20estimate%20stature%20based%20on%20upper%20limb%20dimensions%20of%20adult%20Bangladeshi%20males.pdf text en https://eprints.ums.edu.my/id/eprint/33515/3/Simple%20linear%20regression%20approach%20for%20evaluating%20models%20to%20estimate%20stature%20based%20on%20upper%20limb%20dimensions%20of%20adult%20Bangladeshi%20males%20_ABSTRACT.pdf M Tanveer Hossain Parash and Mohammad Mostafzur Rahman and Humaira Naushaba and Sharmin Haque and Sadia Choudhury Shimmi (2022) Simple linear regression approach for evaluating models to estimate stature based on upper limb dimensions of adult Bangladeshi males. Egyptian Journal of Forensic Sciences, 12. pp. 1-9. ISSN 2090-536X (P-ISSN) , 2090-5939 (E-ISSN) https://ejfs.springeropen.com/track/pdf/10.1186/s41935-022-00277-3.pdf https://doi.org/10.1186/s41935-022-00277-3
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic RB24-33 Pathological anatomy and histology
spellingShingle RB24-33 Pathological anatomy and histology
M Tanveer Hossain Parash
Mohammad Mostafzur Rahman
Humaira Naushaba
Sharmin Haque
Sadia Choudhury Shimmi
Simple linear regression approach for evaluating models to estimate stature based on upper limb dimensions of adult Bangladeshi males
description Background: The stature of a living human reflects the nutritional, genetic, and disease patterns of individual experiences. This study adopted a simple linear regression method and R2 values to identify the preferred model for stature estimation based on the lengths of the arm, radius, ulna, and hand; breadth of the hand; and circumference of the wrist of the adult Bangladeshi male population. This cross-sectional study was performed in the Anatomy Department of Sir Salimullah Medical College, Dhaka, from January 2009 to June 2011. One hundred right-handed adult Muslim Bangladeshi males aged 25 to 45 years participated in the study. Results: The regression model using right and left ulnar length explained 63% of the measured stature with the least standard error of the estimate (0.435 and 0.436), the model using left and right arm length explained 60%, the model using left and right radius length explained 51%, and the model using left- and right-hand length explained 44% of the measured stature. However, the models using left and right handbreadth and wrist circumference explained only 11 to 13% of the measured stature with a higher standard error of the estimate (6.66 to 6.73). For 25- to 45-year-old Bangladeshi Muslim males, the ulnar length of both sides was the best predictor of stature. Conclusions: Linear regression equations in estimating stature effectively may encourage its application in future studies addressing different age groups, sexes, nutritional statuses, religions, and ethnicities of Bangladesh.
format Article
author M Tanveer Hossain Parash
Mohammad Mostafzur Rahman
Humaira Naushaba
Sharmin Haque
Sadia Choudhury Shimmi
author_facet M Tanveer Hossain Parash
Mohammad Mostafzur Rahman
Humaira Naushaba
Sharmin Haque
Sadia Choudhury Shimmi
author_sort M Tanveer Hossain Parash
title Simple linear regression approach for evaluating models to estimate stature based on upper limb dimensions of adult Bangladeshi males
title_short Simple linear regression approach for evaluating models to estimate stature based on upper limb dimensions of adult Bangladeshi males
title_full Simple linear regression approach for evaluating models to estimate stature based on upper limb dimensions of adult Bangladeshi males
title_fullStr Simple linear regression approach for evaluating models to estimate stature based on upper limb dimensions of adult Bangladeshi males
title_full_unstemmed Simple linear regression approach for evaluating models to estimate stature based on upper limb dimensions of adult Bangladeshi males
title_sort simple linear regression approach for evaluating models to estimate stature based on upper limb dimensions of adult bangladeshi males
publisher Springer
publishDate 2022
url https://eprints.ums.edu.my/id/eprint/33515/1/Simple%20linear%20regression%20approach%20for%20evaluating%20models%20to%20estimate%20stature%20based%20on%20upper%20limb%20dimensions%20of%20adult%20Bangladeshi%20males.pdf
https://eprints.ums.edu.my/id/eprint/33515/3/Simple%20linear%20regression%20approach%20for%20evaluating%20models%20to%20estimate%20stature%20based%20on%20upper%20limb%20dimensions%20of%20adult%20Bangladeshi%20males%20_ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/33515/
https://ejfs.springeropen.com/track/pdf/10.1186/s41935-022-00277-3.pdf
https://doi.org/10.1186/s41935-022-00277-3
_version_ 1760231173823397888