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A Study of Association of Premature Graying of Hair and Osteopenia in North Indian Population
CONTEXT: Hair graying is one of the signs of human aging and is caused by a progressive loss of pigmentation from growing hair shafts. Studies have shown a correlation of early hair graying with osteopenia, indicating that premature graying could serve as an early marker of osteopenia. AIM: To compa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7362968/ https://www.ncbi.nlm.nih.gov/pubmed/32684679 http://dx.doi.org/10.4103/ijt.ijt_123_19 |
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author | Agarwal, Soumya Choudhary, Anshul Kumar, Arushi Zaidi, Aliza Mohanty, Swosti Yadav, Shivani |
author_facet | Agarwal, Soumya Choudhary, Anshul Kumar, Arushi Zaidi, Aliza Mohanty, Swosti Yadav, Shivani |
author_sort | Agarwal, Soumya |
collection | PubMed |
description | CONTEXT: Hair graying is one of the signs of human aging and is caused by a progressive loss of pigmentation from growing hair shafts. Studies have shown a correlation of early hair graying with osteopenia, indicating that premature graying could serve as an early marker of osteopenia. AIM: To compare the degree of osteopenia in individuals with premature graying of hair (PGH) compared to ordinary individuals. SETTINGS AND DESIGN: We conducted an observational, case–control study among 132 healthy individuals between 18 and 30 years of age. SUBJECTS AND METHODS: Detailed history and examination of PGH was taken. Bone mineral density (BMD) was assessed using Furuno CM-200 ultrasound bone densitometer. STATISTICAL ANALYSIS: SPSS 21 software was used, and the data were summarized in the form of mean ± standard deviation for quantitative values and percentages for qualitative values. Chi–square test, Student's t-test, analysis of variance, and other appropriate tests were applied for comparison, and P < 0.05 was considered statistically significant. RESULTS: PGH was present in 82 (62.1%) cases, whereas osteopenia was present in 56 (42.4%) cases. The mean age of onset of graying of hair among the cases was 20.62 ± 3.74 years. A higher age group of 25–30 years (P = 0.016) and family history of PGH (P < 0.001) were significant risk factors for PGH. The mean BMD of the case group was 0.76 ± 1.00 and the control group was 0.68 ± 1.11, but the difference was not statistically significant (P = 0.649). CONCLUSION: The study concluded that there is no significant association between osteopenia and PGH. |
format | Online Article Text |
id | pubmed-7362968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-73629682020-07-17 A Study of Association of Premature Graying of Hair and Osteopenia in North Indian Population Agarwal, Soumya Choudhary, Anshul Kumar, Arushi Zaidi, Aliza Mohanty, Swosti Yadav, Shivani Int J Trichology Original Article CONTEXT: Hair graying is one of the signs of human aging and is caused by a progressive loss of pigmentation from growing hair shafts. Studies have shown a correlation of early hair graying with osteopenia, indicating that premature graying could serve as an early marker of osteopenia. AIM: To compare the degree of osteopenia in individuals with premature graying of hair (PGH) compared to ordinary individuals. SETTINGS AND DESIGN: We conducted an observational, case–control study among 132 healthy individuals between 18 and 30 years of age. SUBJECTS AND METHODS: Detailed history and examination of PGH was taken. Bone mineral density (BMD) was assessed using Furuno CM-200 ultrasound bone densitometer. STATISTICAL ANALYSIS: SPSS 21 software was used, and the data were summarized in the form of mean ± standard deviation for quantitative values and percentages for qualitative values. Chi–square test, Student's t-test, analysis of variance, and other appropriate tests were applied for comparison, and P < 0.05 was considered statistically significant. RESULTS: PGH was present in 82 (62.1%) cases, whereas osteopenia was present in 56 (42.4%) cases. The mean age of onset of graying of hair among the cases was 20.62 ± 3.74 years. A higher age group of 25–30 years (P = 0.016) and family history of PGH (P < 0.001) were significant risk factors for PGH. The mean BMD of the case group was 0.76 ± 1.00 and the control group was 0.68 ± 1.11, but the difference was not statistically significant (P = 0.649). CONCLUSION: The study concluded that there is no significant association between osteopenia and PGH. Wolters Kluwer - Medknow 2020 2020-05-05 /pmc/articles/PMC7362968/ /pubmed/32684679 http://dx.doi.org/10.4103/ijt.ijt_123_19 Text en Copyright: © 2020 International Journal of Trichology http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Agarwal, Soumya Choudhary, Anshul Kumar, Arushi Zaidi, Aliza Mohanty, Swosti Yadav, Shivani A Study of Association of Premature Graying of Hair and Osteopenia in North Indian Population |
title | A Study of Association of Premature Graying of Hair and Osteopenia in North Indian Population |
title_full | A Study of Association of Premature Graying of Hair and Osteopenia in North Indian Population |
title_fullStr | A Study of Association of Premature Graying of Hair and Osteopenia in North Indian Population |
title_full_unstemmed | A Study of Association of Premature Graying of Hair and Osteopenia in North Indian Population |
title_short | A Study of Association of Premature Graying of Hair and Osteopenia in North Indian Population |
title_sort | study of association of premature graying of hair and osteopenia in north indian population |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7362968/ https://www.ncbi.nlm.nih.gov/pubmed/32684679 http://dx.doi.org/10.4103/ijt.ijt_123_19 |
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