Literature DB >> 30938594

Child and Parent Demographic Characteristics and Oral Health Perceptions Associated with Clinically Measured Oral Health.

M Marcus1, C A Maida1,2, Y Wang1,3, D Xiong1,3, R D Hays4,5,6, I D Coulter1,6, S Y Lee7, V W Spolsky1, J Shen1, J J Crall1, H Liu1,3,5.   

Abstract

OBJECTIVE: To examine child and parent reports about the child's oral health and assess the associations of these reports with clinical assessments of oral health status by dental examiners.
METHODS: Surveys with 139 items for children and 133 items for parents were administered by Audio Computer-Assisted Self-Interview Software. In addition, the Children's Oral Health Status Index (COHSI) was computed from a dental examination.
RESULTS: A total of 334 families with children ages 8 to 17 y participated at 12 dental practices in Los Angeles County. Ordinary least squares regression models were estimated separately for child and parent surveys to identify items uniquely associated with the COHSI. Ten of 139 items the children reported regarding their oral health were associated with the COHSI. The strongest associations were found for child's age, aesthetic factors (straight teeth and pleased with teeth), and cognitive factors related to perception of dental appearance (pleased/happy with the look of the child's mouth, teeth, and jaws). Nine of 133 parent items about the child's oral health were associated with the COHSI in the parent model, notably being a single parent, parent's gender, parent born in the United States, pleased or happy with the look of their child's teeth, and accessing the Internet.
CONCLUSION: These child and parent survey items have potential to be used to assess oral health status for groups of children in programs and practices in lieu of dental screenings. KNOWLEDGE TRANSLATION STATEMENT: The paper's results inform the development of a toolkit that can be used by schools, public health agencies, and dental programs to identify children with low oral health status based on parents' and children's responses to survey items across demographic, physical, mental, and social domains. These survey items can be used to inform parents of the desirability of proactively addressing inadequacies in their child's oral health status, enabling them to more rationally address dental needs.

Entities:  

Keywords:  epidemiology; health services research; oral health status; outcomes research; pediatric dentistry; psychosocial

Mesh:

Year:  2018        PMID: 30938594      PMCID: PMC6794669          DOI: 10.1177/2380084418774549

Source DB:  PubMed          Journal:  JDR Clin Trans Res        ISSN: 2380-0844


  26 in total

1.  Adolescents' sense of coherence, oral health status, and oral health-related behaviours.

Authors:  M C Freire; A Sheiham; R Hardy
Journal:  Community Dent Oral Epidemiol       Date:  2001-06       Impact factor: 3.383

2.  The T-Health index: a composite indicator of dental health.

Authors:  Eduardo Bernabé; Anna L Suominen-Taipale; Miira M Vehkalahti; Anne Nordblad; Aubrey Sheiham
Journal:  Eur J Oral Sci       Date:  2009-08       Impact factor: 2.612

3.  A new definition for oral health developed by the FDI World Dental Federation opens the door to a universal definition of oral health.

Authors:  Michael Glick; David M Williams; Dushanka V Kleinman; Marko Vujicic; Richard G Watt; Robert J Weyant
Journal:  J Am Dent Assoc       Date:  2016-12       Impact factor: 3.634

4.  Using dentists' judgments to identify the components of children's oral health.

Authors:  J A Gershen; M Marcus; A Koch
Journal:  ASDC J Dent Child       Date:  1980 Nov-Dec

5.  PROMIS(®) pediatric self-report scales distinguish subgroups of children within and across six common pediatric chronic health conditions.

Authors:  Darren A DeWalt; Heather E Gross; Debbie S Gipson; David T Selewski; Esi Morgan DeWitt; Carlton D Dampier; Pamela S Hinds; I-Chan Huang; David Thissen; James W Varni
Journal:  Qual Life Res       Date:  2015-02-26       Impact factor: 4.147

Review 6.  Oral health, health, and health-related quality of life.

Authors:  H C Gift; K A Atchison
Journal:  Med Care       Date:  1995-11       Impact factor: 2.983

7.  Comparison between the DMF indices and two alternative composite indicators of dental health.

Authors:  M Benigeri; M Payette; J M Brodeur
Journal:  Community Dent Oral Epidemiol       Date:  1998-10       Impact factor: 3.383

8.  Disparities in oral health-related quality of life in a population of Canadian children.

Authors:  David Locker
Journal:  Community Dent Oral Epidemiol       Date:  2007-10       Impact factor: 3.383

Review 9.  Oral health-related quality of life in children: part III. Is there agreement between parents in rating their children's oral health-related quality of life? A systematic review.

Authors:  T S Barbosa; M B D Gavião
Journal:  Int J Dent Hyg       Date:  2008-05       Impact factor: 2.477

10.  Patient-Reported oral health outcome measurement for children and adolescents.

Authors:  Honghu Liu; Ron D Hays; Marvin Marcus; Ian Coulter; Carl Maida; Francisco Ramos-Gomez; Jie Shen; Yan Wang; Vladimir Spolsky; Steve Lee; Li Cai; James Crall
Journal:  BMC Oral Health       Date:  2016-09-15       Impact factor: 2.757

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  4 in total

1.  Development of toolkits for detecting dental caries and caries experience among children using self-report and parent report.

Authors:  Marvin Marcus; Di Xiong; Yan Wang; Carl A Maida; Ron D Hays; Ian D Coulter; Vladimir W Spolsky; Steve Y Lee; Jie Shen; James J Crall; Honghu Liu
Journal:  Community Dent Oral Epidemiol       Date:  2019-10-01       Impact factor: 3.383

2.  Investigating Perceptions of Teachers and School Nurses on Child and Adolescent Oral Health in Los Angeles County.

Authors:  Carl A Maida; Marvin Marcus; Di Xiong; Paula Ortega-Verdugo; Elizabeth Agredano; Yilan Huang; Linyu Zhou; Steve Y Lee; Jie Shen; Ron D Hays; James J Crall; Honghu Liu
Journal:  Int J Environ Res Public Health       Date:  2022-04-14       Impact factor: 4.614

3.  Computerized adaptive testing and short form development for child and adolescent oral health patient-reported outcomes measurement.

Authors:  Jie Shen; Ron D Hays; Yan Wang; Marvin Marcus; Carl A Maida; Di Xiong; Steve Y Lee; Vladimir W Spolsky; Ian D Coulter; James J Crall; Honghu Liu
Journal:  Clin Exp Dent Res       Date:  2019-12-28

4.  Using a Machine Learning Algorithm to Predict the Likelihood of Presence of Dental Caries among Children Aged 2 to 7.

Authors:  Francisco Ramos-Gomez; Marvin Marcus; Carl A Maida; Yan Wang; Janni J Kinsler; Di Xiong; Steve Y Lee; Ron D Hays; Jie Shen; James J Crall; Honghu Liu
Journal:  Dent J (Basel)       Date:  2021-12-01
  4 in total

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