JDR Clinical & Translational Research最新文献

{"title":"Variation in General Dentists' Patterns of Sealant Use in Children with Elevated Caries Risk.","authors":"S C McKernan,&nbsp;E T Momany,&nbsp;J M C Sukalski,&nbsp;M P Jones,&nbsp;P C Damiano,&nbsp;R A Kuthy","doi":"10.1177/23800844221102836","DOIUrl":"10.1177/23800844221102836","url":null,"abstract":"<p><strong>Introduction: </strong>Strong evidence supports use of dental sealants to prevent tooth decay, and professional guidelines recommend use in children with elevated caries risk. However, not all children indicated for sealants receive this preventive intervention, even when they use routine dental care.</p><p><strong>Objective: </strong>The aim of this study was to explore the extent to which dentists' use of sealants varied in pediatric patients with elevated caries risk.</p><p><strong>Methods: </strong>Claims and enrollment data from a private dental program were used to identify a cohort of 6- to 17-y-olds with elevated caries risk (<u>N</u> = 27,677) and general dentists (<u>N</u> = 818) who provided services to the children. Children were identified as having elevated caries risk based on history of restorative treatment over a 5-y period (2010-2014). The 2 outcomes of interest were whether a dentist provided any sealants to children with elevated risk and, if so, the extent to which these were used during a 2-y observation period (2013-2014). A 2-stage hurdle model was used for multivariable analysis to identify dentist characteristics associated with sealant use.</p><p><strong>Results: </strong>Over the observation period, 13.3% (<u>n</u> = 109) of dentists did not provide any sealants to their elevated risk patients from the study cohort. Logistic regression found that female dentists were significantly more likely to have used sealants (odds ratio = 2.27); dentist age and practice in an isolated small rural town were negatively associated with any sealant use. However, among dentists who did place sealants (<u>n</u> = 709), female dentists, older dentists, dentists in solo practice, and those working full-time were significantly more likely to provide sealants to a child. Overall, substantial variation in practitioners' use of sealants was observed.</p><p><strong>Conclusion: </strong>This is the first study to explore provider-level variation in sealant use, representing a critical step in future efforts to increase routine use of sealants by dentists and eliminate oral health disparities.</p><p><strong>Knowledge transfer statement: </strong>Findings from this study can be used to design targeted policy and behavioral interventions to increase sealant use by general dentists. This study provides foundational evidence for future research that explores motivation and barriers to routine use of preventive dental interventions by clinicians.</p>","PeriodicalId":14783,"journal":{"name":"JDR Clinical & Translational Research","volume":"8 4","pages":"367-373"},"PeriodicalIF":3.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504877/pdf/10.1177_23800844221102836.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10286516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Considering Sentinel Indicators to Promote Integrating Oral Health Care in UHC and Primary Care.","authors":"P J Allison,&nbsp;D Proaño,&nbsp;C Quiñonez","doi":"10.1177/23800844231195265","DOIUrl":"10.1177/23800844231195265","url":null,"abstract":"The World Health Organization (WHO) recently adopted the Global Oral Health Action Plan (GOHAP) at its 76th World Health Assembly in May 2023 (WHO 2023), stating the need to integrate oral health care into primary health care and universal health coverage (UHC). The WHO and all signatory countries agree that oral health is integral to health and that it must be part of national health plans and systems. They do so for a few salient reasons: oral diseases are the most common noncommunicable diseases globally; significant inequity exists in oral health and oral health care both between highand low-income countries and within them, with poor and marginalized groups having the highest levels of disease and the poorest access to care; and our current largely privatized, siloed model of dental care provision is not working (Watt et al. 2019). While much of what needs to be done to improve oral health and reduce inequity is upstream and unrelated to health care delivery, significant changes to oral health care delivery are needed to better address the needs of all populations. And if we are to make progress on this much needed work, we must monitor and measure the effects of the changes made. Furthermore, to make progress in the desired direction, we must define and measure the pathway and related goals within a guiding framework. Within the GOHAP, the WHO has created such a framework, identifying 11 core and 29 complementary indicators, with the aim that all countries collect the core data, while the remainder are for countries to choose from according to their own contexts (WHO 2023). Among the core indicators, 2 are overarching global targets for oral health care to be incorporated in UHC and the reduction of the global burden of oral diseases (i.e., “Proportion of the population entitled to essential oral health interventions” and “Prevalence of the main oral diseases and conditions”). The majority, however, concern the presence or absence of a range of policies in each country (e.g., a national oral health policy, a national oral health research agenda, policies to reduce sugar intake, workforce training, optimal fluoride delivery, etc.). Among the complementary indicators suggested, 4 cover topics that are highly relevant to integrating oral health care into UHC (unmet oral health care needs, outof-pocket payments [OPPs] for oral health care, catastrophic spending on oral health care, and consulting an oral health care professional). However, other complementary indicators cover the same broad topics as core indicators but get into more detail. Among these are disease burden, assessed largely using classic clinical indicators and selfreported oral health status with questions on oral function, symptoms, and days off work or school (WHO 2023). This framework represents an excellent direction to promote the adoption of oral health care within UHC and primary care. Nevertheless, further reflection and clarification are needed. To move in the directio","PeriodicalId":14783,"journal":{"name":"JDR Clinical & Translational Research","volume":"8 4","pages":"308-310"},"PeriodicalIF":3.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10288714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perception of Oral Health-Related Quality of Life in Children with Epidermolysis Bullosa: A Quantitative and Qualitative Study.","authors":"M Marty,&nbsp;C Chiaverini,&nbsp;C Milon,&nbsp;L Costa-Mendes,&nbsp;P Kémoun,&nbsp;J Mazereeuw-Hautier,&nbsp;C Joseph","doi":"10.1177/23800844221118362","DOIUrl":"10.1177/23800844221118362","url":null,"abstract":"<p><strong>Knowledge transfer statement: </strong>The results of this study confirm the difficulties experienced by patients in the oral sphere. They also show that patients are able to adapt and that their demands go beyond functional rehabilitation. This work should encourage dental practitioners to be part of the overall management of the disease, involving regular checkups, preventive dental measures, and oral hygiene education. Therefore, more effective communication is required, not only between the dental and dermatological teams but also with the parents and caregivers.</p>","PeriodicalId":14783,"journal":{"name":"JDR Clinical & Translational Research","volume":"8 4","pages":"349-355"},"PeriodicalIF":3.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10266005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Hydrocodone Rescheduling on Dental Prescribing of Opioids.","authors":"C H Yan,&nbsp;C C Hubbard,&nbsp;T A Lee,&nbsp;L K Sharp,&nbsp;C T Evans,&nbsp;G S Calip,&nbsp;S A Rowan,&nbsp;J C McGregor,&nbsp;W F Gellad,&nbsp;K J Suda","doi":"10.1177/23800844221102830","DOIUrl":"10.1177/23800844221102830","url":null,"abstract":"<p><strong>Introduction: </strong>In the United States, dentists frequently prescribe hydrocodone. In October 2014, the US Drug Enforcement Administration rescheduled hydrocodone from controlled substance schedule III to II, introducing more restricted prescribing and dispensing regulations, which may have changed dental prescribing of opioids.</p><p><strong>Objective: </strong>The study aim was to evaluate the impact of the hydrocodone rescheduling on dental prescribing of opioids in the United States.</p><p><strong>Methods: </strong>This was a cross-sectional study of opioids prescribed by dentists between October 2012 and October 2016, using the IQVIA Longitudinal Prescription Dataset. Monthly dentist-based opioid prescribing rate (opioid prescription [Rx]/1,000 dentists) and monthly average opioid dosages per prescription (mean morphine milligram equivalent per day [MME/d]) were measured in the 24 mo before and after hydrocodone rescheduling in October 2014 (index or interruption). An interrupted time-series analysis was conducted using segmented ordinary least square regression models, with Newey-West standard errors to handle autocorrelation.</p><p><strong>Results: </strong>Dentists prescribed 50,412,942 opioid prescriptions across the 49 mo. Hydrocodone was the most commonly prescribed opioid pre- and postindex (74.9% and 63.8%, respectively), followed by codeine (13.8% and 21.6%), oxycodone (8.1% and 9.5%), and tramadol (2.9% and 4.8%). At index, hydrocodone prescribing immediately decreased by -834.8 Rx/1,000 dentists (95% confidence interval [CI], -1,040.2 to -629.4), with increased prescribing of codeine (421.9; 95% CI, 369.7-474.0), oxycodone (85.3; 95% CI, 45.4-125.2), and tramadol (111.8; 95% CI, 101.4-122.3). The mean MME increased at index for all opioids except for hydrocodone, and dosages subsequently decreased during the postindex period.</p><p><strong>Conclusion: </strong>Following the rescheduling, dentist prescribing of hydrocodone declined while prescribing of nonhydrocodone opioids increased. Understanding the impact of this regulation informs strategies to ensure appropriate prescribing of opioids for dental pain.</p><p><strong>Knowledge transfer statement: </strong>The study findings can be used by policy makers to make informed decisions in developing future risk mitigation strategies aimed to regulate opioid prescribing behaviors. Furthermore, dentist-specific resources and guidelines are needed subsequent to these policies in order to meet the dental population needs.</p>","PeriodicalId":14783,"journal":{"name":"JDR Clinical & Translational Research","volume":"8 4","pages":"402-412"},"PeriodicalIF":3.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10275972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Socioeconomic and Clinical Demography of Dental Missed Care Opportunities.","authors":"K Discepolo,&nbsp;P Melvin,&nbsp;M Ghazarians,&nbsp;N Tennermann,&nbsp;V L Ward","doi":"10.1177/23800844221104790","DOIUrl":"10.1177/23800844221104790","url":null,"abstract":"<p><strong>Introduction: </strong>Missed care opportunities (MCOs) contribute to poor health outcomes, and pediatric dental patients are particularly vulnerable; identifying associated patient characteristics will help inform development of targeted interventional programs.</p><p><strong>Objective: </strong>To assess socioeconomic and demographic disparities associated with MCOs among children in an urban pediatric hospital's dental clinic. MCOs lead to a lack of continuous care and increased emergent needs, so understanding MCOs is required to achieve equitable pediatric dental health.</p><p><strong>Methods: </strong>A retrospective 2-y (2019-2020) cohort of MCOs in children 1 to 17 y old, with scheduled dental visits. MCOs were defined as appointments not attended or canceled and not rescheduled prior to initial scheduled visit. Multivariable mixed-effects logistic regression models with patient-level clustering assessed the associations of demographics, neighborhood-level socioeconomic factors (using social vulnerability index [SVI]), and clinic characteristics with MCOs.</p><p><strong>Results: </strong>Of 30,095 visits, 30.9% were MCOs. Multivariable logistic regression estimated increased likelihood of MCOs in Black/non-Hispanic (odds ratio [OR], 1.20; 95% confidence interval [CI], 1.09-1.32) and Hispanic (OR, 1.18; 95% CI, 1.06-1.31) patients, patients with public insurance (OR, 1.25; 95% CI, 1.15-1.36) or no insurance (OR, 1.46; 95% CI, 1.15-1.85), patients with complex chronic conditions (OR, 1.11; 95% CI, 1.03-1.19), visits scheduled during the COVID-19 pandemic (OR, 9.48; 95% CI, 8.89-10.11), appointments with wait days over 21 d (OR, 4.07; 95% CI, 3.49-4.74), and children from neighborhoods of high social vulnerability (75th percentile SVI) (OR, 1.08; 95% CI, 1.01-1.16).</p><p><strong>Conclusions: </strong>Children with highest dental MCOs were from neighborhoods with high SVI, had public insurance, and were from marginalized populations. MCOs contribute to inequities in overall health; hence, interventions that address barriers related to characteristics associated with pediatric dental MCOs are needed.</p><p><strong>Knowledge transfer statement: </strong>Missed care opportunities contribute to poor health outcomes; identifying associated patient characteristics will help inform development of targeted interventional programs. Providing these findings to stakeholders will better impart understanding access barriers and drive research and program development. Dissemination of this information in the form of altering appointment practices will better accommodate specific patient population needs.</p>","PeriodicalId":14783,"journal":{"name":"JDR Clinical & Translational Research","volume":"8 4","pages":"356-366"},"PeriodicalIF":3.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10272875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction Model Development and Validation of 12-Year Incident Edentulism of Older Adults in the United States.","authors":"J S Preisser,&nbsp;K Moss,&nbsp;T L Finlayson,&nbsp;J A Jones,&nbsp;J A Weintraub","doi":"10.1177/23800844221112062","DOIUrl":"10.1177/23800844221112062","url":null,"abstract":"<p><strong>Introduction: </strong>Edentulism affects health and quality of life.</p><p><strong>Objectives: </strong>Identify factors that predict older adults becoming edentulous over 12 y in the US Health and Retirement Study (HRS) by developing and validating a prediction model.</p><p><strong>Methods: </strong>The HRS includes data on a representative sample of US adults aged >50 y. Selection criteria included participants in 2006 and 2018 who answered, \"Have you lost all of your upper and lower natural permanent teeth?\" Persons who answered \"no\" in 2006 and \"yes\" in 2018 experienced incident edentulism. Excluding 2006 edentulous, the data set (<i>n</i> = 4,288) was split into selection (70%, <i>n</i> = 3,002) and test data (30%, <i>n</i> = 1,286), and Monte Carlo cross-validation was applied to 500 random partitions of the selection data into training (<i>n</i> = 1,716) and validation (<i>n</i> = 1,286) data sets. Fitted logistic models from the training data sets were applied to the validation data sets to obtain area under the curve (AUC) for 32 candidate models. Six variables were included in all models (age, race/ethnicity, gender, education, smoking, last dental visit) while all combinations of 5 variables (income, alcohol use, self-rated health, loneliness, cognitive status) were considered for inclusion. The best parsimonious model based on highest mean AUC was fitted to the selection data set to obtain a final prediction equation. It was applied to the test data to estimate AUC and 95% confidence interval using 1,000 bootstrap samples.</p><p><strong>Results: </strong>From 2006 to 2018, 9.7% of older adults became edentulous. The 2006 mean (SD) age was 66.7 (8.7) for newly edentulous and 66.3 (8.4) for dentate (<i>P</i> = 0.31). The baseline 6-variable model mean AUC was 0.740. The 7-variable model with cognition had AUC = 0.749 and test data AUC = 0.748 (95% confidence interval, 0.715-0.781), modestly improving prediction. Negligible improvement was gained from adding more variables.</p><p><strong>Conclusion: </strong>Cognition information improved the 12-y prediction of becoming edentulous beyond the modifiable risk factors of smoking and dental care use, as well as nonmodifiable demographic factors.</p><p><strong>Knowledge transfer statement: </strong>This prediction modeling and validation study identifies cognition as well as modifiable (dental care use, smoking) and nonmodifiable factors (race, ethnicity, gender, age, education) associated with incident complete tooth loss in the United States. This information is useful for the public, dental care providers, and health policy makers in improving approaches to preventive care, oral and general health, and quality of life for older adults.</p>","PeriodicalId":14783,"journal":{"name":"JDR Clinical & Translational Research","volume":"8 4","pages":"384-393"},"PeriodicalIF":3.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504805/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10346717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is Dichotomization into Regular versus Irregular Dental Attenders Valid? A Qualitative Analysis.","authors":"M M van der Zande,&nbsp;C E Exley,&nbsp;R Freeman,&nbsp;C Thetford,&nbsp;R V Harris","doi":"10.1177/23800844221118515","DOIUrl":"10.1177/23800844221118515","url":null,"abstract":"<p><strong>Aims: </strong>To discover whether dental visiting behavior can be understood as a dichotomy of planned versus problem based, or whether there were a range of different types of understanding and patient behavior, recognizable as patterns of dental visiting behavior.</p><p><strong>Methods: </strong>Secondary analysis drawing on 2 qualitative studies of patients' accounts of dental attendance and oral health, with 1) opportunistic interviews with people attending urgent dental care services (<i>n</i> = 43; including 19 with follow-up) and 2) home-based, in-depth interviews with people attending a dental practice with a mixture of improved or deteriorated/poor periodontal health (<i>n</i> = 25).</p><p><strong>Results: </strong>Four distinguishable patterns of dental visiting were identified in patients' accounts: Accepting and Active Monitoring, as well as Ambivalent and Active Problem-based dental visiting behavior. Individuals' patterns were relatively stable over time but could shift at turning points. Accepting Monitors were characterized as accepting dentists' recommendations and dental practice policies relating to oral health and visits, whereas Active Monitors were more independent in judging how often to attend for preventive appointments, while still valuing anticipatory care. Ambivalent Problem-based visitors placed a relatively low value on anticipatory care for oral health maintenance and drifted into lapsed attendance, in part because of service-related factors. This contrasted with Active Problem-based visitors, for whom using services only in an emergency was a conscious decision, with low value placed on anticipatory care.</p><p><strong>Conclusion: </strong>This article demonstrates the dynamic nature of patterns of dental visiting where the dental system itself is partly instrumental in shaping patterns of utilization in an ecological way. Thus, service-related factors tend to combine with patients' behavior in expanding inequalities. This illuminates the reasons why risk-based recalls are challenging to implement as a dental policy.</p><p><strong>Knowledge transfer statement: </strong>The results of this analysis can be used by clinicians and policymakers to inform policy around supporting uptake of preventive health care visits, contributing in particular to understanding how risk-based preventive visiting policies may be better adapted to patients' understanding of the purpose of visits, taking into account that this is in part shaped by service-related factors in an ecological way, arising from patients' and dental teams' expectations.</p>","PeriodicalId":14783,"journal":{"name":"JDR Clinical & Translational Research","volume":"8 4","pages":"337-348"},"PeriodicalIF":3.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504811/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10660024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Prospective Longitudinal Study of Early Childhood Caries Onset in Initially Caries-Free Children.","authors":"D T Kopycka-Kedzierawski,&nbsp;R J Billings,&nbsp;C Feng,&nbsp;P G Ragusa,&nbsp;K Flint,&nbsp;G E Watson,&nbsp;C L Wong,&nbsp;S Manning,&nbsp;S R Gill,&nbsp;T G O'Connor","doi":"10.1177/23800844221101800","DOIUrl":"10.1177/23800844221101800","url":null,"abstract":"<p><strong>Introduction: </strong>Early childhood caries (ECC) is a complex oral disease that is prevalent in US children.</p><p><strong>Objectives: </strong>The purpose of this 2-y prospective cohort study was to examine baseline and time-dependent risk factors for ECC onset in initially caries-free preschool children.</p><p><strong>Methods: </strong>A cohort of 189 initially caries-free children aged 1 to 3 y was recruited. At each 6-mo study visit, children were examined using the ICDAS index; salivary samples were collected to assess mutans streptococci (MS), lactobacilli, <i>Candida</i> species, salivary cortisol (prior and after a stressor), and salivary IgA. Diet and oral health behavior were assessed from parent report. Child and family stress exposure was assessed from measures of psychological symptoms, stressful life event exposure, family organization and violence exposure, and social support. Sociodemographic factors were also considered. A Kaplan-Meier estimator of survival function of time to ECC and a Cox proportional hazards model were used to identify predictors of ECC onset.</p><p><strong>Results: </strong>Onset of ECC was associated with high salivary MS levels at baseline (log-rank test, <i>P</i> < 0.0001). Cox proportional hazards regression showed that the risk of dental caries significantly increased with salivary MS in log scale over the 6-mo period (hazard ratio, 1.08; <i>P</i> = 0.01). Other risk factors in the model did not reach statistical significance.</p><p><strong>Conclusion: </strong>Our results provide prospective evidence that an increase in salivary MS predicts ECC onset in young, initially caries-free children, confirming that a high salivary MS count likely plays a causal role in ECC onset, independent of covariates.</p><p><strong>Knowledge transfer statement: </strong>These results suggest that we must focus on reducing salivary MS counts in young children and preventing or delaying MS colonization in infants and young children determined to be at risk for ECC.</p>","PeriodicalId":14783,"journal":{"name":"JDR Clinical & Translational Research","volume":"8 4","pages":"394-401"},"PeriodicalIF":3.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504875/pdf/10.1177_23800844221101800.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10286509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Fluoride on Associations between Free Sugars Intake and Dental Caries in US Children.","authors":"M M Melough, S Sathyanarayana, F V Zohoori, H C Gustafsson, E L Sullivan, D L Chi, S M Levy, C M McKinney","doi":"10.1177/23800844221093038","DOIUrl":"10.1177/23800844221093038","url":null,"abstract":"<p><strong>Objective: </strong>Dental caries is the most prevalent chronic disease in US children, with the highest burden among Black and Hispanic youth. Sugars are a primary risk factor, but few studies have specifically measured intakes of free sugars and related this to dental caries or explored the extent to which water fluoride mitigates the cariogenicity of free sugars. Furthermore, the cariogenicity of certain free sugars sources, such as extruded fruit and vegetable products, is unclear.</p><p><strong>Methods: </strong>Using cross-sectional data on 4,906 children aged 2 to 19 y in the US National Health and Nutrition Examination Survey 2013-2016, we examined associations of free sugars intake with counts of decayed or filled primary tooth surfaces (dfs) and decayed, missing, or filled permanent surfaces (DMFS) in negative binomial regressions. Stratified models examined these associations in children with home water fluoride above or below the Centers for Disease Control and Prevention (CDC)-recommended level of 0.7 ppm.</p><p><strong>Results: </strong>Free sugars accounted for 16.4% of energy, primarily contributed by added sugars. In adjusted models, a doubling in the percentage of energy from free sugars was associated with 22% (95% confidence interval [CI], 1%-47%) greater dfs among children aged 2 to 8. A doubling in energy from added sugars was associated with 20% (95% CI, 1%-42%) greater dfs and 10% (95% CI, 2%-20%) greater DMFS in children aged 6 to 19 y. Beverages were the most important source of added sugars associated with increased caries. Other free sugars were not associated with dfs or DMFS. Associations between free sugars and caries were diminished among children with home water fluoride of 0.7 ppm or greater.</p><p><strong>Conclusions: </strong>Free sugars intake, especially in the form of added sugars and specifically in sweetened beverages, was associated with higher dental caries. Water fluoride exposures modify these associations, reducing caries risk in the primary dentition of children whose home water meets recommended fluoride levels.</p><p><strong>Knowledge transfer statement: </strong>Intake of free sugars, especially in the form of added sugars and specifically in beverages, was associated with higher dental caries in US children in this study. Water fluoride exposure at CDC-recommended levels protected against caries, especially in the primary dentition. These findings suggest that household water fluoridation at CDC-recommended levels protects against the cariogenic potential of free and added sugars during childhood.</p>","PeriodicalId":14783,"journal":{"name":"JDR Clinical & Translational Research","volume":"8 3","pages":"215-223"},"PeriodicalIF":2.2,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404899/pdf/10.1177_23800844221093038.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10312661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating Trust in the Patient-Dentist Relationship: A Mixed-Method Study.","authors":"T Tiwari,&nbsp;N N Maliq,&nbsp;N Rai,&nbsp;J Holtzmann,&nbsp;L Yates,&nbsp;V Diep,&nbsp;E P Tranby,&nbsp;J Frantsve-Hawley","doi":"10.1177/23800844221087592","DOIUrl":"https://doi.org/10.1177/23800844221087592","url":null,"abstract":"Background: The objective of this article was to understand the trust of study participants in dental providers and trust-building practices used by dentists to establish and maintain trust with their patients. Methods: This study used a concurrent cross-sectional mixed-methods design to measure the participants’ trust in their dental providers. An 11-item Dental Trust Scale (DTS) questionnaire was administered to 150 White, Black, and Hispanic study participants. In addition, the research team conducted semistructured interviews with 7 dentists in order to understand their perspectives related to patient trust. The internal consistency of the DTS was tested using Cronbach’s α. Univariate and multivariable logistic regression models were run to test the association between the DTS mean score and individual participant factors. Qualitative information from interviews was analyzed using a thematic analysis approach. Results: The overall mean score of dental trust for the entire sample was 3.4. The DTS had good internal consistency (α = 0.93). Overall, dental trust was significantly higher in participants who had a regular dentist (F = 8.74, P = 0.003). The qualitative data were grouped under these key thematic categories: the importance of trust, building trust, and trust in treatment planning. Qualitative analysis also showed that the 2 main trust-building tools used by dentists were communication and understanding the patient’s lifestyle or social determinants of health. Knowledge Transfer Statement: This study provides insight into the dentist–patient relationship. It increases our understanding of levels of dental trust among patients and examines methods used by the dentist to build trust. The outcomes of this study can be considered by dentists in their everyday practice as they seek to build trust with their patients.","PeriodicalId":14783,"journal":{"name":"JDR Clinical & Translational Research","volume":"8 3","pages":"287-298"},"PeriodicalIF":3.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9705290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}