Gender Differences in the Relationship between Forearm Length and Height across Different Age Groups: A Correlation and Regression Analysis
Introduction: Forearm length (FrL) and height (Ht) are important anthropometric measurements used in clinical practice and research. This study aimed to investigate the correlation and regression between FrL and Ht in males and females across different age groups. Materials and Methods: Participants...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2025-04-01
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| Series: | Advances in Human Biology |
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| Online Access: | https://journals.lww.com/10.4103/aihb.aihb_96_24 |
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| author | Aparnamilind Joshi Shweta Shankarrao Thorat |
| author_facet | Aparnamilind Joshi Shweta Shankarrao Thorat |
| author_sort | Aparnamilind Joshi |
| collection | DOAJ |
| description | Introduction:
Forearm length (FrL) and height (Ht) are important anthropometric measurements used in clinical practice and research. This study aimed to investigate the correlation and regression between FrL and Ht in males and females across different age groups.
Materials and Methods:
Participants aged 18 to under 23 years were recruited, and FrL and Ht were measured using standardised techniques. Pearson’s correlation coefficient and regression analysis were used to analyse the data.
Results:
The correlation analysis revealed a moderate-to-strong positive correlation between FrL and Ht in males across all age groups, with correlation coefficients ranging from 0.318 to 0.866. In females, the correlation was weaker, ranging from 0.123 to 0.561. Regression equations were derived to estimate FrL from Ht, showing that Ht explains a larger proportion of the variability in FrL in males compared to females. These findings suggest that FrL can be used as a predictor of Ht, particularly in males, but caution is advised when applying this relationship to females. These results have implications for growth assessment and nutritional status evaluation in clinical practice, especially in populations, where direct measurement of Ht may be challenging.
Conclusion:
The study provides insights into the relationship between FrL and Ht, with implications for Ht estimation and growth assessment in clinical practice. Further research is needed to validate these findings in larger populations. |
| format | Article |
| id | doaj-art-519978d72b7f41e2b1f35ba5085b69f9 |
| institution | DOAJ |
| issn | 2321-8568 2348-4691 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Advances in Human Biology |
| spelling | doaj-art-519978d72b7f41e2b1f35ba5085b69f92025-08-20T03:07:38ZengWolters Kluwer Medknow PublicationsAdvances in Human Biology2321-85682348-46912025-04-0115220721010.4103/aihb.aihb_96_24Gender Differences in the Relationship between Forearm Length and Height across Different Age Groups: A Correlation and Regression AnalysisAparnamilind JoshiShweta Shankarrao ThoratIntroduction: Forearm length (FrL) and height (Ht) are important anthropometric measurements used in clinical practice and research. This study aimed to investigate the correlation and regression between FrL and Ht in males and females across different age groups. Materials and Methods: Participants aged 18 to under 23 years were recruited, and FrL and Ht were measured using standardised techniques. Pearson’s correlation coefficient and regression analysis were used to analyse the data. Results: The correlation analysis revealed a moderate-to-strong positive correlation between FrL and Ht in males across all age groups, with correlation coefficients ranging from 0.318 to 0.866. In females, the correlation was weaker, ranging from 0.123 to 0.561. Regression equations were derived to estimate FrL from Ht, showing that Ht explains a larger proportion of the variability in FrL in males compared to females. These findings suggest that FrL can be used as a predictor of Ht, particularly in males, but caution is advised when applying this relationship to females. These results have implications for growth assessment and nutritional status evaluation in clinical practice, especially in populations, where direct measurement of Ht may be challenging. Conclusion: The study provides insights into the relationship between FrL and Ht, with implications for Ht estimation and growth assessment in clinical practice. Further research is needed to validate these findings in larger populations.https://journals.lww.com/10.4103/aihb.aihb_96_24anthropometrycorrelationforearm lengthgrowth assessmentheightregression |
| spellingShingle | Aparnamilind Joshi Shweta Shankarrao Thorat Gender Differences in the Relationship between Forearm Length and Height across Different Age Groups: A Correlation and Regression Analysis Advances in Human Biology anthropometry correlation forearm length growth assessment height regression |
| title | Gender Differences in the Relationship between Forearm Length and Height across Different Age Groups: A Correlation and Regression Analysis |
| title_full | Gender Differences in the Relationship between Forearm Length and Height across Different Age Groups: A Correlation and Regression Analysis |
| title_fullStr | Gender Differences in the Relationship between Forearm Length and Height across Different Age Groups: A Correlation and Regression Analysis |
| title_full_unstemmed | Gender Differences in the Relationship between Forearm Length and Height across Different Age Groups: A Correlation and Regression Analysis |
| title_short | Gender Differences in the Relationship between Forearm Length and Height across Different Age Groups: A Correlation and Regression Analysis |
| title_sort | gender differences in the relationship between forearm length and height across different age groups a correlation and regression analysis |
| topic | anthropometry correlation forearm length growth assessment height regression |
| url | https://journals.lww.com/10.4103/aihb.aihb_96_24 |
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