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Oral Health-related QOL (oral + health-related_qol)
Selected AbstractsOral Health of Young Children in Mississippi Delta Child Care Centers: A Second Look at Early Childhood Caries Risk AssessmentJOURNAL OF PUBLIC HEALTH DENTISTRY, Issue 4 2008Linda H. Southward PhD Abstract Objectives: To identify the predictors of early childhood caries and urgent dental treatment need among primarily African-American children in child care centers in the Delta region of Mississippi. The purpose of this study was to replicate predictors of caries and urgent dental treatment needs that were identified in an earlier study conducted in Delta child care centers and to assess additional caries risk factors not collected in the original study. Methods: Children in 19 child care centers were examined by the dentists, and the parents provided data on oral health practices, oral health history, and on children's oral health-related quality of life (QOL). The dentists also assessed visible plaque and tested levels of mutans streptococci. Predictors of caries and treatment need among children 24 to 71 months of age were examined using logistic regression. Results: Two parent predictors of caries identified in the earlier study (parent flossing and soft/sugary drink consumption) were not predictive in the current study. Parent history of abscess continued to predict their child's urgent need for treatment. Young children's level of salivary mutans streptococci, maxillary incisor visible plaque, and parents' reports of child oral health-related QOL measures predicted the presence of both caries and urgent treatment need. Some expected predictors, such as frequency of child's toothbrushing, were not predictive of caries. Conclusions: Parental abscess and parent's report of the child's oral health-related QOL are risk indicators for poor oral health outcomes that could be used by nondental personnel to identify young children in need of early preventive intervention and dental referral. [source] Self-reported and clinically determined oral health status predictors for quality of life in dentate older migrant adultsCOMMUNITY DENTISTRY AND ORAL EPIDEMIOLOGY, Issue 1 2008R. Mariño Abstract,,, Objective:, This paper reports the impact of oral health on the quality of life (QOL) of Southern European, dentate older adults, living independently in Melbourne, Australia. Participants were recruited through ethnic social clubs and interviewed about oral health, general health, socio-demographics, and QOL using the Medical Outcomes Study Short-Form 12 (SF-12). The SF-12's physical and mental health component summary scores (PCS and MCS, respectively) were computed. The Oral Health Impact Profile (OHIP-14) assessed the specific impact of oral health on QOL. Participants were also given a clinical oral examination. Results:, A total of 603 eligible older adults volunteered; 308 were from Greek background and 295 were from Italian background. Mean age was 67.7 years (SD 6.2), with 63.7% being female. The PCS score had a mean value of 45.8 (SD 11.8), and MCS had a mean of 47.8 (SD 5.7). PCS was associated with, periodontal status, chronic health condition, self-perceived oral health needs, self-assessed oral health status, oral health impact score and the interaction between gender and level of education [F(11 552) = 10.57; P < 0.0001]. These independent variables accounted for 16% of the variance in PCS. The multivariate model predicting MCS had only one significant variable (self-reported gingival bleeding), explaining 1.5% of the variance. The OHIP-14 ranged from 0 to 48 with a mean score of 5.6 (SD 9.3). The model predicting OHIP-14 contained four significant variables: perceived oral health treatment needs, number of missing natural teeth, reports of having to sip liquid to help swallow food, and gender [F(4576) = 33.39; P < 0.0001], and explained 18% of the variance. The results demonstrated a negative association between oral health indicators and both the oral health-related QOL and the physical component of the SF-12. Conclusion:, The present findings support a growing recognition of the importance of oral health as a mediator of QOL. However, the self-selected sample and modest predictive power of the multivariate models suggest that further research is needed to expand this explanatory model. [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] | ||||||||||