Literature DB >> 9088692

Skewed distributions--new outcome measures.

A J Spencer1.   

Abstract

The traditional measure of caries, the DMF index, either as prevalence or incidence of disease, has become highly positively skewed among children and young adults. Most discussion of skewed distributions has focused on the properties of statistical analyses using such data or the implications for sample sizes and subject selection in clinical trials. This paper examines the full range of epidemiologic studies, their aims and constitutive interest in order to identify the measurement problems associated with skewed DMF index data. Constitutive interests include: description; documentation; explanation and prediction; evaluation; advocacy; and, experimentation. 'New' outcome measures that would assist in reaching the aims and constitutive interests of the epidemiology of caries include caries severity grading, variants of prevalence, extent and severity and their combination into case definitions, and weighting of the components of the DMF index. Research questions for each area of 'new' outcome measures are identified as steps in the codifying of their use in the epidemiology of caries.

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Year:  1997        PMID: 9088692     DOI: 10.1111/j.1600-0528.1997.tb00899.x

Source DB:  PubMed          Journal:  Community Dent Oral Epidemiol        ISSN: 0301-5661            Impact factor:   3.383


  11 in total

1.  For debate: problems with the DMF index pertinent to dental caries data analysis.

Authors:  J M Broadbent; W M Thomson
Journal:  Community Dent Oral Epidemiol       Date:  2005-12       Impact factor: 3.383

2.  Trend of income-related inequality of child oral health in Australia.

Authors:  L G Do; A J Spencer; G D Slade; D H Ha; K F Roberts-Thomson; P Liu
Journal:  J Dent Res       Date:  2010-06-11       Impact factor: 6.116

Review 3.  Salivary biomarkers for caries risk assessment.

Authors:  Lihong Guo; Wenyuan Shi
Journal:  J Calif Dent Assoc       Date:  2013-02

4.  Changing trend of caries from 1989 to 2004 among 12-year old Sardinian children.

Authors:  Guglielmo Campus; Gianluca Sacco; MariaGrazia Cagetti; Silvio Abati
Journal:  BMC Public Health       Date:  2007-03-01       Impact factor: 3.295

5.  The association between caries and childhood lead exposure.

Authors:  J R Campbell; M E Moss; R F Raubertas
Journal:  Environ Health Perspect       Date:  2000-11       Impact factor: 9.031

6.  Risk indicators of oral health status among young adults aged 18 years analyzed by negative binomial regression.

Authors:  Hai-Xia Lu; May Chun Mei Wong; Edward Chin Man Lo; Colman McGrath
Journal:  BMC Oral Health       Date:  2013-08-19       Impact factor: 2.757

7.  Factors Influencing Early Feeding of Foods and Drinks Containing Free Sugars-A Birth Cohort Study.

Authors:  Diep H Ha; Loc G Do; Andrew John Spencer; William Murray Thomson; Rebecca K Golley; Andrew J Rugg-Gunn; Steven M Levy; Jane A Scott
Journal:  Int J Environ Res Public Health       Date:  2017-10-23       Impact factor: 3.390

8.  Salivary Protein Roles in Oral Health and as Predictors of Caries Risk.

Authors:  Galina Laputková; Vladimíra Schwartzová; Juraj Bánovčin; Michal Alexovič; Ján Sabo
Journal:  Open Life Sci       Date:  2018-05-18       Impact factor: 0.938

9.  The accuracy of caries risk assessment in children attending South Australian School Dental Service: a longitudinal study.

Authors:  Diep H Ha; A John Spencer; Gary D Slade; Andrew D Chartier
Journal:  BMJ Open       Date:  2014-01-29       Impact factor: 2.692

10.  Common risk factor approach to address socioeconomic inequality in the oral health of preschool children--a prospective cohort study.

Authors:  Loc G Do; Jane A Scott; W Murray Thomson; John W Stamm; Andrew J Rugg-Gunn; Steven M Levy; Ching Wong; Gemma Devenish; Diep H Ha; A John Spencer
Journal:  BMC Public Health       Date:  2014-05-06       Impact factor: 3.295

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