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Oral Health-Related Quality (oral + health-relat_quality)
Selected AbstractsOral health-related quality of life and its relationship with health locus of control among Indian dental university studentsEUROPEAN JOURNAL OF DENTAL EDUCATION, Issue 4 2008S. Acharya Abstract Objectives:, The objectives of this study were to assess the relationship between Oral Health-Related Quality of Life (OHRQoL) and Health Locus of Control (HLC) among students in an Indian dental school. Materials and methods:, A cross sectional study design was used. Three hundred and twenty-five dental students returned completed forms containing the 14 item Oral Health Impact Profile (OHIP-14) and the 18 item Multidimensional Health Locus of Control Scale (MHLC). Results:, The results showed that the perceived OHRQoL differed among students studying in different stages of the dental course. The OHRQoL dimensions of ,Social Handicap' and ,Handicap' were significantly (P < 0.01) lower among the later years of the course than the freshman year students. There was a sharp increase in Self-reported dental problems, in particular, Malocclusion, Tooth decay, Calculus among the third year and final year students respectively. The OHIP-14 scores were significantly higher among those with self-reported oral problems. Correlation analysis between the OHIP-14 and the MHLC scores also showed a statistically significant (P < 0.01) correlation between the ,Chance' dimension of the MHLC and OHIP-14 scores. Conclusions:, The results of this study underscored the relationship between the OHRQoL and HLC and of importance of assessing health attitudes and their impact on OHRQoL among the dental student community. [source] Relationship between Oral Health-Related Quality of Life, Satisfaction, and Personality in Patients with Prosthetic RehabilitationsJOURNAL OF PROSTHODONTICS, Issue 1 2010FDS RCS (England), Jordanian Board, Mahmoud K. AL-Omiri BDS Abstract Purpose: This study investigated the relationship between oral health-related quality of life, satisfaction with dentition, and personality profiles among patients with fixed and/or removable prosthetic rehabilitations. Materials and Methods: Thirty-seven patients (13 males, 24 females; mean age 37.6 ± 13.3 years) with fitted prosthetic rehabilitations and 37 controls who matched the patients by age and gender were recruited into the study. The Dental Impact on Daily Living (DIDL) questionnaire was used to assess dental impacts on daily living and satisfaction with the dentition. The Oral Health Impact Profile (OHIP) was used to measure self-reported discomfort, disability, and dysfunction caused by oral conditions. Oral health-related quality of life was assessed by the United Kingdom Oral Health-Related Quality of Life (OHQoL-UK) measure. Moreover, the NEO five-factor inventory was used to assess participants' personality profiles. Results: Prosthetic factors had no relationship to the DIDL, OHIP, and OHQoL-UK scores. Patients with the least oral health impacts had better oral health-related quality of life (p= 0.023, r =,0.37), higher levels of total satisfaction, and satisfaction with appearance, pain, oral comfort, general performance, and eating (p < 0.05, r =,0.79, ,0.35, ,0.59, ,0.56, ,0.58, and ,0.50, respectively). Patients with better oral health-related quality of life (QoL) had higher total satisfaction, satisfaction with oral comfort, general performance, and eating (p < 0.05, r = 0.34, 0.39, 0.33, and 0.37, respectively). Patients with lower neuroticism scores had less oral health impact (p= 0.006, r = 0.44), better oral health-related QoL (p= 0.032, r =,0.35), higher total satisfaction, satisfaction with appearance, pain, oral comfort, and eating (p < 0.05, r =,0.58, ,0.35, ,0.33, ,0.39, and ,0.35, respectively). Conclusion: Patients' satisfaction with their dentition and prosthetic rehabilitations has positive effects on oral health-related QoL and oral health impacts and improves patients' daily living and dental perceptions. Neuroticism might influence and predict patients' satisfaction with their dentition, oral health impacts, and oral health-related QoL. Satisfaction with the dentition might predict a patient's level of neuroticism. [source] Assessing Levels of Agreement between Two Commonly Used Oral Health-Related Quality of Life MeasuresJOURNAL OF PUBLIC HEALTH DENTISTRY, Issue 3 2009Eduardo Bernabé MSc Abstract Objective: This study aimed to assess the level of agreement between two commonly used oral health-related quality of life (OHRQoL) measures, the short form of the Oral Health Impact Profile (OHIP14) and the Oral Impacts on Daily Performances (OIDP). Methods: A sample of 1,675 15- to 16-year-old students attending all schools in Bauru (Sao Paulo, Brazil) was selected. The impact of oral conditions on quality of life in the last 6 months was reported using both OHIP14 and OIDP. To allow for comparison with the 100 percent OIDP score, OHIP14 scores were converted to percentages. Then, agreement between the two OHRQoL measures was analyzed using the Bland and Altman method. Results: The mean difference between OHIP14 and OIDP was 6.48 percent [confidence interval95% (6.08; 6.89)], with higher scores reported for OHIP14 than for OIDP. Besides, 95 percent of the differences between the two OHRQoL measures were between ,10.59 and 23.56 percent. Finally, differences between OHIP14 and OIDP increased significantly as the magnitude of their average increased (P < 0.001). Conclusion: There was a moderate level of agreement between OHIP14 and OIDP, which may be partly due to the fact that both OHRQoL measures assess different levels of oral impacts on quality of life in addition to having different scoring systems. [source] Oral health-related quality of life for 8,10-year-old children: an assessment of a new measureCOMMUNITY DENTISTRY AND ORAL EPIDEMIOLOGY, Issue 5 2005Gerry Humphris Abstract , Objectives:, The aim of the study was to assess the reliability and construct validity of the Child Oral Health-Related Quality of Life for 8,10-year-olds (COHRQoL [8,10]) using confirmatory factor analysis (CFA) and to test the measurement properties of latent variables believed to define the multidimensional construct of OHRQoL. Methods:, A convenience sample of 270, year 4 children from six schools was obtained. The administered questionnaire included the 25-item COHRQoL [8,10] and the Coopersmith Self-Esteem Inventory-School Form. The analytical method was based upon CFA using maximum likelihood estimation. A second-order factoring approach was applied to determine the extent that the latent variables tapped a single over-arching domain of quality of life. Results:, Seven items were withdrawn for low endorsement and poor association with resultant factors. The COHRQoL [8,10] was confirmed to measure a single construct of three latent variables invariant to gender. Internal consistency of the three scales derived comprising a total of 18 retained items was acceptable. Associations with self-esteem and with a single question on the extent that the mouth was a problem were confirmed and strengthened the construct validity of the COHRQoL [8,10] measure. Conclusions:, Reliability and construct validity were demonstrated for COHRQoL [8,10] and supported the scale for adoption as an epidemiological and scientific tool for group comparisons. CFA showed that the three constructs or latent variables underlying the overall COHRQoL ratings were discrete measures that can be reliably assessed in children. Further model testing with additional data will increase generalization of these findings. [source] Validity of two oral health-related quality of life measuresCOMMUNITY DENTISTRY AND ORAL EPIDEMIOLOGY, Issue 2 2003Peter G. Robinson Abstract , Objectives: To assess the validity of the Oral Impacts on Daily Performance (OIDP) and the short form of the Oral Health Impact Profile (OHIP 14) in the UK. Setting: Primary care department at a UK dental hospital. Sample: Consecutive patients. Method: Cross-sectional comparison of impacts using OIDP and OHIP 14 against clinical findings, Global Oral Health Ratings and pain. Results: A total of 179 patients participated (83.2% response rate). OIDP had weak face validity because it contained contingency questions. Both instruments were developed from the same theoretical model and appeared to have reasonable content validity. In regression analyses, the number of impacts detected by each measure and the total score using OHIP 14 were related to the presence of oral disease and inversely related to age. No suitable transformation could be found to allow regression analysis of OIDP total scores. OHIP 14 correlated more closely with Global Oral Health Ratings but both measures correlated similarly to the experience of pain (0.43 < r < 0.47). The correlation between OHIP and OIDP scores was +0.78. The use of a simple additive method for calculating the total OHIP 14 score did not compromise its validity. Conclusion: Both instruments have some validity as measures of Oral Health-Related Quality of Life (OHRQoL) among dental hospital patients. The superior face, criterion and convergent validity and greater amenability to analysis of OHIP 14 render it more suitable for questionnaire-based research and for comparing groups. The additive method may be used to calculate the total score for OHIP 14. [source] Is negative affectivity associated with oral quality of life?COMMUNITY DENTISTRY AND ORAL EPIDEMIOLOGY, Issue 6 2001Nancy R. Kressin Abstract ,Objectives: The personality trait of negative affectivity (NA) is associated with reports of worse physical health, more symptoms and worse health-related quality of life but its associations with oral quality of life (OQOL) are unexplored. In this study we examined the association of NA with OQOL. Methods: We drew on data from two samples of older men: The VA Dental Longitudinal Study (DLS; n=177) and the Veterans Health Study (VHS; n=514), which included three measures of oral quality of life: the Oral Health-Related Quality of Life Measure (OHQOL), the Oral Health Impact Profile (OHIP), and the Geriatric Oral Health Assessment Instrument (GOHAI). For each OQOL measure, and the GOHAI and OHIP subscales, two regression models were estimated to examine the marginal change in variance due to NA: the first model included age, number of teeth, and self-rated oral health, and the second added NA. Results: In both bivariate and multivariate analyses, higher NA was consistently associated with worse scores on the OQOL measures. In the regression analyses, NA explained an additional .01 to 18% of the variance in OQOL, explaining the most variance in the OHIP and the least in the OHQOL. The addition of NA explained more variance in the more subjective, psychologically oriented GOHAI and OHIP subscales than it did in the more objective, physical function oriented subscales. Conclusions: Psychosocial factors such as personality are significantly associated with quality of life ratings. Such associations should be taken into account when OQOL measurements are used and interpreted. [source] | ||||||||||