Prevalence of Peri-implantitis and Assessment of Oral Health-related Quality of Life Among Patients with Dental Implants at Hospital Universiti Sains Malaysia

ObjectivesTo investigate the correlation between the four dimensions of Oral Health-Related Quality of Life (OHRQoL) and Health-Related Quality of Life (HRQoL) constructs in a dental patient population.MethodsA cross-sectional study carried out at HealthPartners, Minnesota, USA. This study is a secondary data analysis of available adult dental patients’ data. The instruments used to assess the OHRQoL and HRQoL constructs were the Oral Health Impact Profile–version with 49 items (OHIP-49) and Patient-Reported Outcome Measures Information System (PROMIS) measures v.1.1 Global Health instruments Patient Reported Outcome Measures (PROMs), respectively. We used Structural Equation Modeling to determine the correlation between OHRQoL and HRQoL.ResultsTwo thousand and seventy-six dental patients participated in the study. OHRQoL and HRQoL scores correlated with 0.56 (95%CI:0.52–0.60). The OHRQoL and Physical Health dimension of HRQoL correlated with 0.55 (95%CI:0.51–0.59). The OHRQoL and Mental Health dimension of HRQoL correlated with 0.51 (95%CI:0.47–0.55). When adjusted for age, gender, and depression, the correlation coefficients changed only slightly and resulted in 0.52 between OHRQoL and HRQoL Physical Health, and 0.47 between OHRQoL and HRQoL Mental Health. Model fit statistics for all analyses were adequate and indicated a good fit.ConclusionsOHRQoL and HRQoL overlap greatly. For dental practitioners, the OHRQoL score is informative for their patients’ general health status and vice versa. Study results indicate that effective therapeutic interventions by dentists improve patients’ OHRQoL as well as HRQoL.

The purpose of the current study was to assess the oral health related quality of life (OHRQoL), general health related quality of life (HRQoL), clinical oral and denture status, as well as their interrelation, within a hospitalized general population. The Romanian versions of the Oral Health Impact Profile-49 (OHIP-49Ro), SF-36 questionnaires, together with an additional set of oral health assessment questions, were administered under the interview format to 170 patients, hospitalized in the Second Medical Clinic of Internal Medicine, Cluj-Napoca, Romania. The patients also underwent clinical examination, based on which the DMFT was calculated. Denture status, was as well, registered, together with the denture material. Each patient provided informed consent, prior to any examination. Questionnaire scores were calculated and used for the univariate descriptive statistics, reflecting oral health, OHRQoL and HRQoL sample tendencies. Successively, multiple regression analysis was applied, with the purpose of investigating the relationship between: the clinical oral health status, OHRQoL and HRQoL. In the first model, OHRQoL, while in the second model the dependent variable was represented by the HRQoL, each having a set of established predictors. Additionally, for denture wearing patients, OHRQoL variations in respect to the denture material were assessed, using one-way ANOVA. The mean OHIP-49Ro overall score was 31.90. The mean SF-36 subscales score was 60.66. The mean DMFT score was 18.47. For both regression analyses, all the regression models were significant. For the first model, the predictors accounted for 48.5% of variance in OHRQoL. For the second model, the highest percent of variance, explained by the predictors, was registered for the Mental Health subscale (22.8%). DMFT, as a clinical measure, was a statistically significant predictor rather for the perception in general health. However, OHRQoL was a good predictor for HRQoL, as an integrated part of it. Moreover, the one-way ANOVA indicated statistically significant differences in OHRQoL perception, in respect to the denture material F(2, 82) = 3.253, p = 0.044. The current study indicated complex relations between the patients� clinical status, the OHRQoL and HRQoL. The clinical determinants presented direct impact on both OHRQoL and HRQoL. More balanced HRQoL scores suggested that patients focused more on the perception of general health outcomes.

Both oral and global health-related quality of life (HRQoL) are markedly impaired in SSc. In this study we aimed to determine the degree of association between oral HRQoL and global HRQoL in SSc. Subjects were recruited from the Canadian Scleroderma Research Group registry. Global HRQoL was measured using the Medical Outcomes Trust 36-item Short Form Health Survey (SF-36) and oral HRQoL with the Oral Health Impact Profile (OHIP). The Medsger Disease Severity Score was used to determine organ involvement. Multivariate regression models determined the independent association of the OHIP with the SF-36 after adjusting for confounders. This study included 156 SSc subjects. The majority (90%) were women, with a mean age of 56 years, mean disease duration 13.8 years (s.d. 8.5) and 29% of the subjects had dcSSc. Mean total OHIP score was 40.8 (s.d. 32.4). Mean SF-36 mental component summary (MCS) score was 49.7 (s.d. 11.1) and physical component summary (PCS) score was 37.0 (s.d. 10.7). In adjusted analyses, the total OHIP score was significantly associated with the SF-36 MCS and PCS, accounting for 9.7% and 5.6% of their respective variances. Measures of disease severity were not related to OHIP score. Oral HRQoL in SSc is independently associated with global HRQoL. Oral HRQoL, however, is not related to physician-assessed disease severity. This suggests that physicians may be disregarding issues related to oral health. HRQoL is an additional dimension of HRQoL not captured by generic instruments such as the SF-36.

Dental implants have become a mainstream treatment approach in daily practice, and because of their high survival rates over time, they have become the preferred treatment option for prosthetic rehabilitation in many situations. Despite the relatively high predictability of implant therapy and high costs to patients, patient perceptions of success and patient‐reported outcome measures have become increasingly significant in implant dentistry. Increasing numbers of publications deal with oral health‐related quality of life and/or patient‐reported outcome measures. The aim of this paper was to provide an overview of the available evidence on oral health‐related quality of life of fully and partially dentate patients rehabilitated with fixed and removable implant‐supported dental prostheses. A comprehensive electronic search was performed on publications in English up to 2021. A selection of standardized questionnaires and scales used for the evaluation of oral health‐related quality of life were analyzed and explained. The analysis encompassed three aspects: a functional evaluation of oral health‐related quality of life, an esthetic assessment of oral health‐related quality of life, and a cost‐related evaluation of oral health‐related quality of life for rehabilitation with dental implants. The data demonstrated that the preoperative expectations of patients markedly affected the outcomes perceived by the patients. As expected, reconstructions supported by implants substantially improved the stability of conventional dentures and allowed improved function and patient satisfaction. However, from a patient's perspective, oral health‐related quality of life was not significantly greater for dental implants compared with conventional tooth‐supported prostheses. The connection of the implants to the prostheses with locators or balls indicated high oral health‐related quality of life. The data also suggest that patient expectation is not a good predictor of treatment outcome. In terms of esthetic outcomes, the data clearly indicate that patients’ perceptions and clinicians' assessments differed, with those of clinicians yielding higher standards. There were no significant differences found between the esthetic oral health‐related quality of life ratings for soft tissue‐level implants compared with those for bone‐level implants. Comparison of all‐ceramic and metal‐ceramic restorations showed no significant differences in patients’ perceptions in terms of esthetic outcomes. Depending on the choice of outcome measure and financial marginal value, supporting a conventional removable partial denture with implants is cost‐effective when the patient is willing to invest more to achieve a higher oral health‐related quality of life. In conclusion, the oral health‐related quality of life of patients rehabilitated with implant‐supported dental prostheses did not show overall superiority over conventional prosthetics. Clinicians' and patients' evaluations, especially of esthetic outcomes, are, in the majority of cases, incongruent. Nevertheless, patient‐reported outcomes are important in the evaluation of function, esthetics, and the cost‐effectiveness of treatment with implant‐supported dental prostheses, and should be taken into consideration in daily practice.

Health-related quality of life is a multidimensional concept with five broad domains: opportunity/resilience, health perception, functional states, impairments/diseases, and duration of life. It addresses the tradeoff between how long and how well people live. The health-related quality of life approach has provided greater opportunity for investigation of the interrelations among oral health, health, and related outcomes. The inclusion of patient-driven measures, such as perceptions and functional status, is critical. Oral health-related quality of life measures are being developed and used in research on aging populations. Clinical measures of oral health, perceptions of general and oral well-being, and reported physical, social, and psychological functioning are independent, but correlated, components of overall oral health-related quality of life. An oral health-related quality of life approach benefits 1) clinical practitioners in selecting treatments and monitoring patient outcomes; 2) researchers in identifying determinants of health, tracking levels of health risk factors, and determining use of services in populations; and 3) policy-makers establishing program and institutional priorities, policies, and funding decisions. This overview indicates substantial value in pursuing several recommendations. A theoretical framework from which concepts, measures, and models can be derived must be developed to address oral health, oral health-related quality of life, health, and health-related quality of life. Oral health outcomes or states must be identified and classified along some continuum of impairment, function, disability, and opportunity. Indicators of appropriate concepts and domains must be adapted or established. Extended analyses on the relations among oral health, oral health-related quality of life, health, and health-related quality of life should be conducted with use of the Boston VA Normative Aging Study and other appropriate data sets.

To assess the oral health-related quality of life (OHRQoL) of adolescents in Northwest China, and to explore the relationship between sociodemographic characteristics, oral health-related behaviors and OHRQoL. A cross-sectional survey of adolescents aged 12-15 years in Shaanxi, Gansu province and Ningxia Hui Autonomous Region of Northwest China was conducted by stratified cluster random sampling. Oral examinations were performed with World Health Organization (WHO) standards, and the condition of crowns and periodontal was recorded. Adolescents' oral health-related behaviors and OHRQoL were collected by questionnaire. Chi-square test and binary logistic regression analysis were used to examine the relationship. A total of 7,648 subjects were included. The prevalence of low OHRQoL which defined as a score higher than 0, was 83.8%. A low OHRQoL was most prevalent in Gansu Province and least prevalent in Shaanxi Province. Younger (OR = 0.73, CI = 0.60-0.87), female (OR = 1.27, CI = 1.11-1.44), rural (OR = 1.44, CI = 1.21-1.72), and mother with less education (OR = 0.69, CI = 0.60-0.81) all showed statistically significant influence on teenagers' OHRQoL. From a behavior perspective, teens' OHRQoL was correlated with their frequency of sugar consumption (OR = 1.72, CI = 1.41-2.10), dental appointment rate (OR = 1.29, CI = 1.064-1.57), self-assessment of oral health (OR = 3.09, CI = 2.29-4.19), DMFT index (OR = 1.19, CI = 1.04-1.37), number of teeth calculus (OR = 1.20, CI = 1.01-1.43), and dental trauma (OR = 0.47, CI = 0.39-0.57) over the previous year; however, brushing their teeth was not statistically significant. Generally speaking, oral health-related behaviors-such as eating more sugary foods and scheduling dental appointments within the last year-have a significant negative impact on the quality of life of adolescents in Northwest China. Female, and adolescents from families with low educational backgrounds are more likely to be affected by such behaviors in their daily lives.

Oral and general health-related quality of life in oral squamous cell carcinoma patients- comparative analysis of different treatment regims

The relationship between oral and overall health is of interest to health care professionals and patients alike. This study investigated the correlation between oral health-related quality of life (OHRQoL) and health-related quality of life (HRQoL) in a general adult population. This cross-sectional study used a convenience sample of adult participants (N = 607) attending the 2022 Minnesota County and State fairs in USA, the 5-item Oral Health Impact Profile (OHIP-5) assessed OHRQoL, and the 10-item PROMIS v.1.2 Global Health Instrument assessed HRQoL. Spearman and Pearson correlations were used to summarize the bivariable relationship between OHRQoL and HRQoL (both physical and mental health dimensions). A structural equation model determined OHRQoL-HRQoL correlations (r). Correlations' magnitude was interpreted according to Cohen's guidelines (r = 0.10, 0.30, and 0.50 to demarcate "small," "medium," and "large" effects, respectively). OHRQoL and HRQoL correlated with r = 0.52 (95% confidence interval, CI: [0.50-0.55]), indicating that the two constructs shared 27% of their information. According to Cohen, this was a "large" effect. OHRQoL, and the physical and mental HRQoL dimensions correlated with r = 0.55 (95% CI: [0.50-0.59]) and r = 0.43 (95% CI: [0.40-0.46]), respectively, indicating a "large" and a "medium" effect. OHRQoL and HRQoL were substantially correlated in an adult population. Using OHIP-5 to assess their dental patients' oral health impact allows dental professionals to gain insights into patients' overall health-related wellbeing.

The aim of the present paper was to explore the oral health-related quality of life in old Swedish people with pain problems, with special reference to demography, socio-economic factors, health, and general health-related quality of life. Individuals ≥ 80 years (n = 186) who earlier reported pain problems answered two multi-item instruments on oral health-related quality of life (Oral Health Impact Profile, OHIP-14) and general health-related quality of life (Short Form Health Survey, SF-12), respectively. Socio-demographic and health questions were also inquired. Both the oral and general health-related quality of life were rated very low. Two thirds (67.2%) reported at least one of the aspects in the OHIP-14 fairly often, very often or all the time. The mean additive score of the OHIP-14 was 14.6 (SD 10.5). The mean value of the physical component scale (PCS) of SF-12 was 25.9 (SD 6.2) and of the mental component scale (MCS) 44.1 (SD 11.5). The OHIP-14 was consistently and significantly correlated with self-rated general and oral health, chewing ability and MCS. The associations between self-rated general and oral health in relation to the OHIP-14 were independent of possible confounders: OR 3.63 (95% CI 1.58-8.32) and OR 2.68 (95% CI 1.44-4.99), respectively. Old people with pain problems experienced very low oral and general health-related quality of life. Personnel caring for the oldest with pain problems should be aware that oral health problems can contribute to a low quality of life and that oral care should be included in the general care.

This study aimed to investigate the association between excessive daytime sleepiness and oral health-related quality of life (OHRQoL) in dental and dental-hygiene students using a cross-sectional design. Dental students and dental-hygiene students completed a sociodemographic and habits questionnaire. Oral health-related quality (OHRQoL) of life was assessed using the Oral Health Impact Profile (OHIP), and sleep quality was determined using the Epworth Sleepiness Scale. Student's t-tests and chi-squared tests were used to analyse the association between oral health-related quality of life with sleep and other variables. A linear regression model was constructed to adjust the effect of daytime sleepiness for oral health-related quality of life. The dimenstion of the OHIP that had the worst scores was physical pain (mean: 1.45; SD: 1.49). Excessive daytime sleepiness impaired the OHRQoL specifically because of physical pain, functional limitation, physical disability, and psychological disability. In the adjusted analysis, the presence of excessive daytime sleepiness increased the OHIP score to 2.54 points (95% CI: 1.09-3.99). To be female and to study at the technical-school level was also associated with a reduction of OHRQoL. The presence of excessive daytime sleepiness impaired the OHRQoL of students. Excessive daytime sleepiness is a factor associated with lower OHRQoL. Integration of sleep monitoring in interventions aimed at improving the OHRQoL could have a relevant impact on young adult patients.

Implant overdentures and conventional prostheses have been compared in several trials using a variety of functional and oral health-related quality of life (OHQOL) outcomes. In this paper, we describe the impact of implant overdentures on general and OHQOL in seniors. To compare the oral health-related and general quality of life of seniors (aged 65-75 years) who received either mandibular implant overdentures or conventional dentures. Sixty edentulous patients were recruited. Thirty received mandibular overdentures retained by two implants (IOD) and a conventional maxillary denture, the other 30 subjects received new maxillary and mandibular conventional complete dentures (CD). All completed the 20-item version of the Oral Health Impact Profile (OHIP-20) before treatment, then at two and 6 months after delivery of the dentures. The SF-36 general health questionnaire was completed at baseline and 6 months only. Pretreatment and 6-month data from 55 subjects were analyzed. Those who received the IODs had significantly better OHIP-20 total scores at 6 months. Results for IOD subjects were also superior in the functional limitation, physical pain, physical disability and psychological disability subscales. While no significant between group difference was found on the SF-36 health survey, significant pre-post-treatment differences within the IOD group were detected for the role emotional, vitality and the social function scales. Mandibular overdentures retained by two implants provide elderly patients with better OHQOL. General health-related quality of life improved in the implant group.

Children are affected by numerous oral and orofacial disorders, which have the potential to compromise functioning, well-being and the quality of life (QoL). The purpose of this paper was to review the literature about children's clinical oral health status and health-related quality of life (HRQoL) and to assess the respective association. The authors searched Medline, ISI, Lilacs and Scielo for articles from 1985 to 2007. The inclusion criteria were randomized, cross-sectional, longitudinal or retrospective studies that used well-validated oral health-related QoL instruments, children self-applied questionnaires and quantitative measurements of clinical oral health status. Of the 402 articles that were critically assessed, 12 studies were included in the critical appraisal of the project. There is a relationship between clinical oral health status and HRQoL in children. In the studies that suggested weak relationships between children's oral conditions and HRQoL, the explanations were low disease levels in the sample, the conditions under investigation may have caused immeasurably low levels of impact or the impacts were mediated by inter- and intravariables according to culture and education. Moreover, relationships between biological or clinical variables and HRQoL outcomes are not direct, but mediated by a variety or personal, social and environmental variables, as well as by the child development, which have influence on the comprehension about the relationship among health, illness and QoL. So, longitudinal studies are necessary to determine validity, responsiveness and minimal clinically important difference.

Background Early childhood caries (ECC) in preschool children debilitate their quality of life affecting oral function, appearance and social well-being. A tool for measuring oral health-related quality of life for preschoolers may help in making clinical decisions and assist policy makers in planning and management of health programs in the country.
 Objective To translate oral health-related early childhood quality of life (OH-ECQoL) tool into Nepali language and test its validity and reliability.
 Method OH-ECQoL was translated into Nepali language by two Nepalese professional translators which was back translated by professional English translator. This was sent to three independent advisors to see the appropriateness of translation. Pilot testing was done in 20 parents and questionnaire was finalized after needed corrections. Final version was introduced to the 118 parents of children aged 24- 71 months. Caries status was recorded for all children participating in the study. Concurrent, construct, discriminant validity and internal consistency reliability, test -retest reliability were evaluated.
 Result OH-ECQoL scores and perception of parents for general and oral health of their children was significant (at 0.01 level). There was significant difference in OH-ECQoL scores between no ECC and severe ECC groups and moderate and severe ECC groups (at 0.05 level). There was also a significant correlation between child impact section and family impact section (at 0.01 level). Cronbach’s alpha was 0.891 demonstrating good internal consistency. Intra class coefficient was 0.963 suggesting excellent test-retest reliability. Ninety-one (77.1%) children had severe ECC and 40(33.9%) parents were from upper middle class.
 Conclusion The Nepali version of OH-ECQoL is a valid and reliable tool for assessing the oral health-related early childhood quality of life in children of Nepal.

Objective: The relationship between general health and oral health is critical for understanding the broader implications of oral health on overall well-being and vice versa. The impact of oral and general health on individuals can be comprehensively captured by the concepts oral and general health-related quality of life (OHRQoL and HRQoL), respectively. This systematic review and meta-analysis aimed to synthesize existing evidence on the correlation between OHRQoL and HRQoL across different adult populations. Methods: A comprehensive search strategy was executed across six databases (Ovid MEDLINE(R), Embase, CINAHL, APA PsycINFO, Web of Science Core Collection, and Scopus). The search included studies measuring OHRQoL with the Oral Health Impact Profile (OHIP) and HRQoL with a variety of generic patient-reported outcome measures (PROMs). Studies were included if they reported correlations between OHRQoL and HRQoL summary scores in adult populations across dental, medical, or non-patient settings. If a study examined more than one population, each correlation was included for independent analysis. Data extraction and quality assessment were conducted by independent reviewers, with disagreements resolved by a third reviewer. Random effects meta-analysis was used to summarize the OHRQoL-HRQoL correlations. Results: From 10 studies, 13 populations (N=6,053 participants) were included in the analysis. The correlation between general health and oral health-related quality of life was of medium size (r=0.41, 95% CI: 0.32–0.50) with high heterogeneity across populations (I2=95%). Results were not unduly influenced by individual populations, study quality, or publication bias. Conclusions: The correlation between oral health and general health is of medium size, highlighting the potential for medical-dental integration to enhance patient and community health outcomes.

Peri-implant tissue health is a requisite for success of dental implant therapy. Plaque accumulation leads to initiation of gingivitis around natural teeth and peri-implantitis around dental implants. Peri-implantitis around dental implants may result in implant placement failure. For obtaining long-term success, timely assessment of dental implant site is mandatory. To assess and evaluate Quality of Life (OHRQoL) of individuals with dental implants using the Oral Health Impact Profile (OHIP-14). Total 92 patients were evaluated for assessment of the health of peri-implant tissues by recording, Plaque Index (PI), Probing Pocket Depth (PD), Bleeding On Probing (BOP) and Probing Attachment Level (PAL) as compared to contra-lateral natural teeth (control). In the same patients Quality of Life Assessment was done by utilizing Oral Health Impact Profile Index (OHIP-14). The mean plaque index around natural teeth was more compared to implants and it was statistically significant. Other three dimensions mean bleeding on probing; mean probing attachment level and mean pocket depth around both natural teeth and implant surfaces was found to be not statistically significant. OHIP-14 revealed that patients with dental implants were satisfied with their Oral Health-Related Quality of Life (OHRQoL). Similar inflammatory conditions are present around both natural teeth and implant prostheses as suggested by results of mean plaque index, mean bleeding on probing, mean pocket depth and mean probing attachment level, hence reinforcing the periodontal health maintenance both prior to and after incorporation of dental implants. Influence of implant prostheses on patient's oral health related quality of life (as depicted by OHIP-14) and patients' perceptions and expectations may guide the clinician in providing the best implant services.