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Oral health‐related quality of life (OHRQoL) is an important patient‐reported outcome measure in dental research. This study was conducted to analyse the association between OHRQoL, as measured using the five‐item version of the Oral Health Impact Profile (OHIP‐5), and different socio‐economic indices. A national survey of randomly selected adult individuals in Sweden (n = 3,500) was performed using telephone interviews. The questions asked for the purpose of this study were defined by the items of the OHIP‐5, just as questions were asked regarding socio‐economic variables, including education, income, and economic resources. Poor OHRQoL, as identified by an OHIP‐5 score of 3 or higher on at least two of the five items, was statistically significantly associated in multivariate analysis with low income (OR = 1.84) and having no economic resources (OR = 2.19). The statistical models were adjusted for age, gender, ethnicity, marital status, dental‐care utilization, dental anxiety, and smoking. The OHIP‐5 may be used in larger epidemiological surveys because it demonstrates the ability to discriminate for a range of important areas of measurement in dental public health, including social determinants.  相似文献   

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The aim of this study was to describe the patterns of multimorbidities of oral clinical conditions in children. The association between social position and number of oral clinical conditions, and the relationship of social position and number of oral clinical conditions with oral health‐related quality of life [OHRQoL, measured using the Brazilian Child‐Oral Impacts on Daily Performance (Child‐OIDP)] were also investigated. The study analysed data on 7,208 children, 12 yr of age, from the Brazilian Oral Health Survey (SBBrasil Project). Cluster analysis based on the observed/expected (O/E) ratios identified six significant clusters of oral clinical conditions: (i) dental caries and missing teeth; (ii) dental caries and dental trauma; (iii) dental trauma and gingivitis; (iv) dental caries, missing teeth, and dental trauma; (v) dental caries, dental trauma, and gingivitis; and (vi) all oral clinical conditions. Ordinal regression showed that poor social position was associated with a large number of oral clinical conditions. Poisson regression demonstrated that low social position and greater number of oral clinical conditions increased the likelihood of poor OHRQoL (Child‐OIDP extent). The four oral clinical conditions clustered into six distinct clusters among Brazilian children. Multimorbidity of oral clinical conditions predicted poor OHRQoL. Social position was of high relevance to multimorbidity of oral clinical conditions and children′s OHRQoL.  相似文献   

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The aim of this study was to investigate the impact of oral diseases and disorders on the oral‐health‐related quality of life (OHRQoL) of children with CP, adjusting this impact by socioeconomic factors. Data were collected from 60 pairs of parents–children with CP. Parents answered the child oral health quality of life questionnaire (parental‐caregivers perception questionnaire and family impact scale) and a socioeconomic questionnaire. Dental caries experience, traumatic dental injuries, malocclusions, bruxism, and dental fluorosis were also evaluated. The multivariate adjusted model showed that dental caries experience (p < 0.001) and the presence of bruxism had a negative impact (p = 0.046) on the OHRQoL. A greater family income had a positive impact on it (p < 0.001). Dental caries experience and bruxism are conditions strongly associated with a negative impact on OHRQoL of children with CP and their parents, but a higher family income can improve this negative impact.  相似文献   

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Abstract – Objective: To assess the prevalence and characteristics of oral impacts on daily life, and the relationship between certain dental conditions and impacts attributed to them, in a nationally representative population of Thai school children aged 12 and 15 years. Methods: A cross‐sectional study on a representative sample of children in Sixth Thailand National Oral Health Survey. Sample included half the children aged 12‐ and 15‐year‐old selected in Bangkok and all participants in 8 of 16 provinces included in national survey. Children were individually interviewed using the Child‐OIDP (12‐year‐old) and OIDP indices (15‐year‐old), and two questions for overall subjective assessments. Results: A total of 1066 12‐year‐olds and 815 15‐year‐olds were interviewed. Some 85.2% of 12‐year‐olds reported experiencing oral impacts during the past 3 months. Child‐OIDP scores ranged from 0 to 68.0 (mean = 7.83, SD = 7.8). Eating was the most commonly affected performance (64.4%), followed by cleaning teeth (51.7%) and maintaining emotional state (49.1%). Among 15‐year‐old children, 83.3% had oral impacts during the past 6 months. OIDP scores ranged from 0 to 39.5 (mean = 5.47, SD = 6.0). The three most commonly affected performances were eating (64.0%), cleaning teeth (55.3%) and maintaining emotional state (53.1%). Toothache and oral ulcers were the two most important perceived causes in 12‐year‐olds. Impacts from toothache were the most prevalent (39.2%) and had a condition‐specific (CS) Child‐OIDP score of 7.0, while oral ulcers affected 24.7% of children; mean CS‐score of 8.0. Among 15‐year‐olds, oral ulcers ranked first in terms of both prevalence (36.2%) and CS‐score (6.0), followed by toothache (prevalence 33.9% and CS‐score 5.0). For both age groups, problems with gums were of less concern. Conclusions: Oral impacts were common but not severe in Thai children and adolescents. For both age groups, impacts were mostly on eating performance; toothache and oral ulcers were the two important perceived causes reflecting needs for oral health promotion and treatment of dental caries and oral ulcers.  相似文献   

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Background: There is limited information on the impact of poor oral health on Indigenous Australian quality of life. This study aimed to determine the prevalence, extent and severity of, and to calculate risk indicators for, poor oral health‐related quality of life among a convenience sample of rural‐dwelling Indigenous Australians. Methods: Participants (n = 468) completed a questionnaire that included socio‐demographic, lifestyle, dental service utilization, dental self‐care and oral health‐related quality of life (OHIP‐14) factors. Results: The prevalence of having experienced one or more of OHIP‐14 items ‘fairly often’ or ‘very often’ was 34.8%. The extent of OHIP‐14 scores was 1.88, while the severity was 15.0. Risk indicators for having experienced one or more of OHIP‐14 items ‘fairly often’ or ‘very often’ included problem‐based dental attendance, avoiding dental care because of cost, difficulty paying a $100 dental bill and non‐ownership of a toothbrush. An additional risk indicator for OHIP‐14 extent was healthcare card ownership, while additional indicators for OHIP‐14 severity were healthcare card ownership and having had 5+ teeth extracted. Conclusions: Risk indicators for poor oral health‐related quality of life among this marginalized population included socio‐economic factors, dentate status factors, dental service utilization patterns, financial factors and dental self‐care factors.  相似文献   

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How dental patients are affected by oral conditions can be described with the concept of oral health‐related quality of life (OHRQoL). This concept intends to make the patient experience measurable. OHRQoL is multidimensional, and Oral Function, Oro‐facial Pain, Oro‐facial Appearance and Psychosocial Impact were suggested as its four dimensions and consequently four scores are needed for comprehensive OHRQoL assessment. When only the presence of dimensional impact is measured, a pattern of affected OHRQoL dimensions would describe in a simple way how oral conditions influence the individual. By determining which patterns of impact on OHRQoL dimensions exist in prosthodontic patients and general population subjects, we aimed to identify in which combinations oral conditions’ functional, painful, aesthetical and psychosocial impact occurs. Data came from the Dimensions of OHRQoL Project with Oral Health Impact Profile (OHIP)‐49 data from 6349 general population subjects and 2999 prosthodontic patients in the Learning Sample (= 5173) and the Validation Sample (= 5022). We hypothesised that all 16 patterns of OHRQoL dimensions should occur in these individuals who suffered mainly from tooth loss, its causes and consequences. A dimension was considered impaired when at least one item in the dimension was affected frequently. The 16 possible patterns of impaired OHRQoL dimensions were found in patients and general population subjects in both Learning and Validation Samples. In a four‐dimensional OHRQoL model consisting Oral Function, Oro‐facial Pain, Oro‐facial Appearance and Psychosocial Impact, oral conditions’ impact can occur in any combination of the OHRQoL dimensions.  相似文献   

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Reduced food intake ability can restrict an individual's choice of foods and might have a significant impact on the individual's quality of life and mental health. The aim of this study was to evaluate the correlations between self‐reported masticatory ability and oral health‐related quality of life (OHRQOL) and psychological health. The study included 72 (26 men, 46 women) adults with a mean age of 26·4 ± 8·6 years. Each participant completed the key subjective food intake ability (KFIA) test for five key foods, the Korean version of the Oral Health Impact Profile‐14 (OHIP‐14K) and three questionnaires for measuring anxiety, depression and self‐esteem. The participants were distributed into two groups by sex (a mean age of 23·9 ± 5·2 for men and 27·9 ± 9·8 for women) and by the median KFIA score. There were no significant differences in any of the variables according to sex. Thirty‐two participants (12 men, 20 women) in the lower KFIA group had a higher total OHIP‐14K (P < 0·001) and depression level (P < 0·05) than the 40 participants (14 men, 26 women) in the higher KFIA group. As the KFIA decreased, OHRQOL worsened (P < 0·001) and depression increased (P < 0·05). Participants with lower KFIA scores were more than 4·3 times as likely as to have a poor OHRQOL than the reference group (odds ratio, 4·348; 95% confidence interval, 1·554–12·170, P < 0·01). Lower subjective food intake ability is associated with a poor oral health‐related quality of life and higher depression level.  相似文献   

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