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Positive and negative affect and oral health-related quality of life
BACKGROUND: The aims of the study were to assess the impact of both positive (PA) and negative affect (NA) on self-reported oral health-related quality of life and to determine the effect of including affectivity on the relationship between oral health-related quality of life and a set of explanator...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2006
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1626449/ https://www.ncbi.nlm.nih.gov/pubmed/17052358 http://dx.doi.org/10.1186/1477-7525-4-83 |
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author | Brennan, David S Singh, Kiran A Spencer, A John Roberts-Thomson, Kaye F |
author_facet | Brennan, David S Singh, Kiran A Spencer, A John Roberts-Thomson, Kaye F |
author_sort | Brennan, David S |
collection | PubMed |
description | BACKGROUND: The aims of the study were to assess the impact of both positive (PA) and negative affect (NA) on self-reported oral health-related quality of life and to determine the effect of including affectivity on the relationship between oral health-related quality of life and a set of explanatory variables consisting of oral health status, socio-economic status and dental visiting pattern. METHODS: A random sample of 45–54 year-olds from metropolitan Adelaide, South Australia was surveyed by mailed self-complete questionnaire during 2004–05 with up to four follow-up mailings of the questionnaire to non-respondents (n = 986 responded, response rate = 44.4%). Oral health-related quality of life was measured using OHIP-14 and affectivity using the Bradburn scale. Using OHIP-14 and subscales as the dependent variables, regression models were constructed first using oral health status, socio-economic characteristics and dental visit pattern and then adding PA and NA as independent variables, with nested models tested for change in R-squared values. RESULTS: PA and NA exhibited a negative correlation of -0.49 (P < 0.01). NA accounted for a larger percentage of variance in OHIP-14 scores (3.0% to 7.3%) than PA (1.4% to 4.6%). In models that included both PA and NA, PA accounted for 0.2% to 1.1% of variance in OHIP-14 scores compared to 1.8% to 3.9% for NA. CONCLUSION: PA and NA both accounted for additional variance in quality of life scores, but did not substantially diminish the effect of established explanatory variables such as oral health status, socio-economic status and dental visit patterns. |
format | Text |
id | pubmed-1626449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-16264492006-10-28 Positive and negative affect and oral health-related quality of life Brennan, David S Singh, Kiran A Spencer, A John Roberts-Thomson, Kaye F Health Qual Life Outcomes Research BACKGROUND: The aims of the study were to assess the impact of both positive (PA) and negative affect (NA) on self-reported oral health-related quality of life and to determine the effect of including affectivity on the relationship between oral health-related quality of life and a set of explanatory variables consisting of oral health status, socio-economic status and dental visiting pattern. METHODS: A random sample of 45–54 year-olds from metropolitan Adelaide, South Australia was surveyed by mailed self-complete questionnaire during 2004–05 with up to four follow-up mailings of the questionnaire to non-respondents (n = 986 responded, response rate = 44.4%). Oral health-related quality of life was measured using OHIP-14 and affectivity using the Bradburn scale. Using OHIP-14 and subscales as the dependent variables, regression models were constructed first using oral health status, socio-economic characteristics and dental visit pattern and then adding PA and NA as independent variables, with nested models tested for change in R-squared values. RESULTS: PA and NA exhibited a negative correlation of -0.49 (P < 0.01). NA accounted for a larger percentage of variance in OHIP-14 scores (3.0% to 7.3%) than PA (1.4% to 4.6%). In models that included both PA and NA, PA accounted for 0.2% to 1.1% of variance in OHIP-14 scores compared to 1.8% to 3.9% for NA. CONCLUSION: PA and NA both accounted for additional variance in quality of life scores, but did not substantially diminish the effect of established explanatory variables such as oral health status, socio-economic status and dental visit patterns. BioMed Central 2006-10-20 /pmc/articles/PMC1626449/ /pubmed/17052358 http://dx.doi.org/10.1186/1477-7525-4-83 Text en Copyright © 2006 Brennan et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Brennan, David S Singh, Kiran A Spencer, A John Roberts-Thomson, Kaye F Positive and negative affect and oral health-related quality of life |
title | Positive and negative affect and oral health-related quality of life |
title_full | Positive and negative affect and oral health-related quality of life |
title_fullStr | Positive and negative affect and oral health-related quality of life |
title_full_unstemmed | Positive and negative affect and oral health-related quality of life |
title_short | Positive and negative affect and oral health-related quality of life |
title_sort | positive and negative affect and oral health-related quality of life |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1626449/ https://www.ncbi.nlm.nih.gov/pubmed/17052358 http://dx.doi.org/10.1186/1477-7525-4-83 |
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