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Determining the relationship among stress, xerostomia, salivary flow rate, and the quality of life of undergraduate dental students

OBJECTIVE: Xerostomia may result in several oral conditions, which ultimately affect oral health-related quality of life (OHRQOL). This study aims to evaluate the relationship of stress, xerostomia, salivary flow rate, and OHRQOL among young adults. METHOD: We invited 72 participants to complete thr...

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Autores principales: Atif, Saira, Syed, Sofia A., Sherazi, Ume R., Rana, Sadia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taibah University 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7858027/
https://www.ncbi.nlm.nih.gov/pubmed/33603626
http://dx.doi.org/10.1016/j.jtumed.2020.10.019
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author Atif, Saira
Syed, Sofia A.
Sherazi, Ume R.
Rana, Sadia
author_facet Atif, Saira
Syed, Sofia A.
Sherazi, Ume R.
Rana, Sadia
author_sort Atif, Saira
collection PubMed
description OBJECTIVE: Xerostomia may result in several oral conditions, which ultimately affect oral health-related quality of life (OHRQOL). This study aims to evaluate the relationship of stress, xerostomia, salivary flow rate, and OHRQOL among young adults. METHOD: We invited 72 participants to complete three validated questionnaires including the Perceived Stress Scale-10 (PSS-10), a shortened version of the Xerostomia Inventory (SXI), and the shortened Oral Health Impact Profile (S–OHIP). Unstimulated saliva was collected, and flow rate was determined. Based on the SXI scores and hyposalivation, the participants were categorised into four groups: subjective xerostomia, subjective and objective xerostomia, objective xerostomia, and true non-xerostomia. Based on the median PSS score, participants were categorised into high stress and low stress groups. Data were analysed using the Mann–Whitney U test, Kruskal–Wallis H test, and Spearman's correlation coefficient. A p value of 0.05 was set for all tests. RESULTS: A significant difference was observed in the unstimulated salivary flow rate (χ(2)(3) = 26.677, p < 0.001) and PSS scores (X(2)(3) = 8.552, p = 0.036) between xerostomia groups, while OHIP scores were not statistically different (X(2)(3) = 5.488, p = 0.139). A significant correlation was observed between SXI and S–OHIP scores (r = 0.348, p = 0.003) and unstimulated salivary flow rate and PSS (r = −0.259, p = 0.028). CONCLUSION: This study shows that perceived stress can influence salivary flow rate. Among the xerostomia groups, stress scores and salivary flow rates varied significantly. Additionally, subjective xerostomia has an impact on OHRQOL.
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spelling pubmed-78580272021-02-17 Determining the relationship among stress, xerostomia, salivary flow rate, and the quality of life of undergraduate dental students Atif, Saira Syed, Sofia A. Sherazi, Ume R. Rana, Sadia J Taibah Univ Med Sci Original Article OBJECTIVE: Xerostomia may result in several oral conditions, which ultimately affect oral health-related quality of life (OHRQOL). This study aims to evaluate the relationship of stress, xerostomia, salivary flow rate, and OHRQOL among young adults. METHOD: We invited 72 participants to complete three validated questionnaires including the Perceived Stress Scale-10 (PSS-10), a shortened version of the Xerostomia Inventory (SXI), and the shortened Oral Health Impact Profile (S–OHIP). Unstimulated saliva was collected, and flow rate was determined. Based on the SXI scores and hyposalivation, the participants were categorised into four groups: subjective xerostomia, subjective and objective xerostomia, objective xerostomia, and true non-xerostomia. Based on the median PSS score, participants were categorised into high stress and low stress groups. Data were analysed using the Mann–Whitney U test, Kruskal–Wallis H test, and Spearman's correlation coefficient. A p value of 0.05 was set for all tests. RESULTS: A significant difference was observed in the unstimulated salivary flow rate (χ(2)(3) = 26.677, p < 0.001) and PSS scores (X(2)(3) = 8.552, p = 0.036) between xerostomia groups, while OHIP scores were not statistically different (X(2)(3) = 5.488, p = 0.139). A significant correlation was observed between SXI and S–OHIP scores (r = 0.348, p = 0.003) and unstimulated salivary flow rate and PSS (r = −0.259, p = 0.028). CONCLUSION: This study shows that perceived stress can influence salivary flow rate. Among the xerostomia groups, stress scores and salivary flow rates varied significantly. Additionally, subjective xerostomia has an impact on OHRQOL. Taibah University 2020-11-24 /pmc/articles/PMC7858027/ /pubmed/33603626 http://dx.doi.org/10.1016/j.jtumed.2020.10.019 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Atif, Saira
Syed, Sofia A.
Sherazi, Ume R.
Rana, Sadia
Determining the relationship among stress, xerostomia, salivary flow rate, and the quality of life of undergraduate dental students
title Determining the relationship among stress, xerostomia, salivary flow rate, and the quality of life of undergraduate dental students
title_full Determining the relationship among stress, xerostomia, salivary flow rate, and the quality of life of undergraduate dental students
title_fullStr Determining the relationship among stress, xerostomia, salivary flow rate, and the quality of life of undergraduate dental students
title_full_unstemmed Determining the relationship among stress, xerostomia, salivary flow rate, and the quality of life of undergraduate dental students
title_short Determining the relationship among stress, xerostomia, salivary flow rate, and the quality of life of undergraduate dental students
title_sort determining the relationship among stress, xerostomia, salivary flow rate, and the quality of life of undergraduate dental students
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7858027/
https://www.ncbi.nlm.nih.gov/pubmed/33603626
http://dx.doi.org/10.1016/j.jtumed.2020.10.019
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