Risk Factors for Dental Caries Experience in Children and Adolescents with Cerebral Palsy-A Scoping Review.
Sarah CuiRahena AkhterDaniel YaoXin-Yun PengMary-Anne FeghaliWinnie ChenEmily BlackburnElizabeth Fieldja MartinGulam KhandakerPublished in: International journal of environmental research and public health (2022)
Cerebral palsy is a developmental motor disorder which has far-reaching impacts on oral health. This scoping review examined the extent of research undertaken regarding the risk factors affecting dental caries experience in children and adolescents with cerebral palsy. Data were obtained from the electronic databases Web of Science and PubMed, using 10 search strings, for studies published between 1983 and 2018. Eligible studies were required to have investigated caries in children under 18 with cerebral palsy, as well as be written in English. 30 papers published were identified for inclusion in the review. These included 23 cross-sectional, 6 case-control, and 1 longitudinal study. Studies were categorized into six domains of risk factors: socioeconomic status (SE); cerebral palsy subtype (CPS); demographics (D); condition of oral cavity (OC); dental habits (DH); nutrition and diet (ND). This review was conducted and reported in accordance with Preferred Reporting Items for Systematic reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. The most significant risk factors were caregiver-related education levels, oral health literacy, and sugar intake; this underlines the important role of special education and dental awareness in reducing dental caries incidence in CP children. Other factors showed divergent findings, highlighting the need for standardization and culturally specific studies in future literature.
Keyphrases
- cerebral palsy
- case control
- meta analyses
- oral health
- risk factors
- systematic review
- healthcare
- cross sectional
- physical activity
- randomized controlled trial
- young adults
- quality improvement
- emergency department
- public health
- weight loss
- body mass index
- big data
- machine learning
- adverse drug
- clinical practice
- mass spectrometry
- electronic health record
- current status