Periodontal disease and the special needs patient

Lf, Brown; Ford, Pauline; Symons, A. L.

doi:10.1111/prd.12198

Cited by 14 publications

(14 citation statements)

References 70 publications

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“…The wide variation in caries experiences might be due to several factors like race, geographical locations, cultural and ethnic differences (Olatosi, Inem, Sofola, Prakash, & Sote, ). Moreover, the existing evidence supported that individuals with SHCN had high levels of dental plaque, as well as high incidence and severity of periodontal diseases (Brown et al., ; Gandhi & Klein, ; Zhou et al., ). A cross‐sectional study reported that above 90% of children with SHCN presented with gingival bleeding or had supra‐ or sub‐gingival calculus (Fakroon, Arheiam, & Omar, ).…”

Section: Discussionmentioning

confidence: 92%

“…Previous studies also further revealed that individual with SHCN had an increased risk of poor oral health (Brown, Ford, & Symons, ; Gandhi & Klein, ; Nqcobo, Yengopal, Rudolph, Thekiso, & Joosab, ; Zhou, Wong, Wen, & Mcgrath, ), limited studies had been conducted among young children with SHCN to explore the covariates which were associated with their oral health status. The aims of this study were to determine the oral health status among preschool children with SHCN, and explore the factors which had a potential impact on their oral health status.…”

Section: Introductionmentioning

confidence: 99%

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Oral health and associated factors among preschool children with special healthcare needs

2019

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Objective To investigate the oral health status and associated factors among preschool children with special healthcare needs. Subjects and methods This was designed as a cross‐sectional study. Dental examination was provided to 383 children at Special Child Care Centres. Covariates of interest included children's age, developmental profile, oral health‐related behaviours and family social‐economic status. The association between children's dental caries experiences, dental plaque deposition and gingival health status were analysed by negative binomial regression, multiple factor ANOVA and binary logistic regression when appropriate. Results The proportion of children with caries, gingival inflammation and plaque were 30.3%, 89.6% and 95.0%, respectively. Final regression models indicated that (a) tooth decay was associated with dental visit experiences, night bottle‐feeding habit, fluoridated toothpaste and monthly income; (b) plaque deposition was associated with intellectual functioning, practical skills, night bottle‐feeding habit, use of toothpaste, initiation of toothbrushing habit, toothbrushing duration and additional cleaning habit; (c) gingival status was associated with children's intellectual functioning and toothbrushing frequency. Conclusions Poor oral hygiene status existed among preschool children with special healthcare needs. Children's oral health status was associated with their developmental profile, oral health‐related behaviours and social‐economic status.

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Section: Discussionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Oral health and associated factors among preschool children with special healthcare needs

2019

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“…Individuals with special needs are at higher risk of dental disease, including periodontal diseases, and special needs patients have a greater prevalence and incidence of periodontal diseases compared with the rest of the population . Genetic or medical conditions, and/or the use of prescription medication or recreational substances, may further increase the risk for susceptibility to periodontal disease.…”

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confidence: 99%

Interdisciplinary periodontics: the multidisciplinary approach to the planning and treatment of complex cases

Lyons¹,

Darby²

2017

Periodontology 2000

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Periodontics cannot be practiced in isolation as frequently many patients have multiple dental needs or medical health issues requiring management. In addition, pathology may manifest in the periodontal tissues, and the onset and progression of periodontitis can be affected by systemic conditions, such as diabetes, and vice versa. The focus of this volume of Periodontology 2000 is interdisciplinary periodontics, and the articles included discuss the interactions and the interrelationshipbetween periodontal tissues/periodontal diseases and endodontics, fixed prosthodontics, implant dentistry, esthetics, gerodontology, radiology, orthodontics, pediatric dentistry, oral and maxillofacial surgery, oral pathology, special needs dentistry and general medicine. Previous volumes of Periodontology 2000 have covered some of the interactions between periodontal diseases and other dental disciplines, especially implant dentistry, 'and the interaction between periodontal disease and systemic disease', but there has not been a volume on interdisciplinary periodontics. The intention therefore is to show how and why periodontics should be interdisciplinary, as well as the benefits of an interdisciplinary approach; in addition, the potential consequences of using a discipline in isolation are discussed.

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“…This study found that a lower level of education (up to elementary school) and severe stress were significant risk factors for PD in rural areas. Many previous studies have also found that the risk of PD is inversely correlated with the level of education, and that stress and psychological factors such as depression, anxiety, and emotional and work stress are potential risk indicators or risk factors for PD . Excessive stress not only exerts an indirect negative effect when combined with smoking and alcohol intake, but also reportedly leads directly to physiological changes in the periodontium .…”

Section: Discussionmentioning

confidence: 98%

Predictive data mining for diagnosing periodontal disease: the Korea National Health and Nutrition Examination Surveys (KNHANES V and VI) from 2010 to 2015

Lee

Jeong

Choi

2018

J Public Health Dent

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Objectives This study aimed to identify patients with the highest risk of periodontal disease (PD), and to provide recommendations for the effective use and application of data mining (DM) techniques when establishing evidence‐based dental‐care policies for vulnerable groups at a high risk of PD. Methods This study used the SEMMA (Sample, Explore, Modify, Model, and Assess) methodology to construct DM models based on data acquired from the fifth and sixth Korea National Health and Nutrition Examination Surveys (2000‐2015). We analyzed the sociodemographic and comorbidity variables that influence PD by applying the popular DM techniques of decision‐tree, neural‐network, and regression models, and also attempted to improve the predictive power and reliability by comparing the results obtained by these three models. Results Our comparisons of the three DM algorithms confirmed that the average squared error, misclassification rate, receiver operating characteristic index, Gini coefficient, and Kolmogorov–Smirnov test results were the most appropriate for the decision‐tree model. The analysis of the decision‐tree model revealed that age and smoking status exert major effects on the risk of PD, and that stress and education level exert effects in rural areas, whereas education level, sex, hyperlipidemia, and alcohol intake exert effects in urban areas. Conclusions We demonstrated that the decision‐tree model is an effective DM technique for identifying the complex risk factors for PD. These results are expected to be helpful in improving the equality and efficacy of dental‐care policies for vulnerable groups at a high risk of PD.

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Periodontal disease and the special needs patient

Cited by 14 publications

References 70 publications

Oral health and associated factors among preschool children with special healthcare needs

Oral health and associated factors among preschool children with special healthcare needs

Interdisciplinary periodontics: the multidisciplinary approach to the planning and treatment of complex cases

Predictive data mining for diagnosing periodontal disease: the Korea National Health and Nutrition Examination Surveys (KNHANES V and VI) from 2010 to 2015

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