Use of the generalized linear models in data related to dental caries index

Javali, Shivalingappa B; Pandit, Parameshwar V.

doi:10.4103/0970-9290.35825

Cited by 9 publications

(8 citation statements)

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“…These estimates can be extrapolated to 15-year-olds because there is a good relationship between caries levels at 12 and at other ages as shown in trend data. Among adults aged 26, with a DMFT score of 1.5 the prevalence of caries was 48% [Javali and Pandit, 2009].…”

Section: Discussionmentioning

confidence: 99%

Using Universal Patterns of Caries for Planning and Evaluating Dental Care

Sheiham¹,

Sabbah²

2010

Caries Res

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There are universal patterns of caries, in terms of prevalence, incidence, frequency distribution and rates of progression, in permanent teeth that can be considered working rules that can be applied when planning dental care. The universal patterns are: (1) caries levels follow trend lines; therefore, knowing the caries level at one age can be used to predict the levels at later ages in that cohort by looking at the trend line for that cohort; (2) the distribution of dental caries of a population exhibits the following characteristics: as the mean DMFT increases, the percentage of caries-free individuals falls and the caries distribution widens; this changing relationship between the mean DMFT and prevalence is not limited to a subgroup of the population who already have had some caries experience; (3) there is a specific mathematical relationship between the mean DMFT and mean DMFS; (4) there is a hierarchy of caries susceptibility by tooth type and sites on teeth; for a given DMFT or DMFS, there is a specific intra-oral pattern of caries by tooth type; (5) changes in mean DMFT scores for individuals and groups are not linear, but ‘stepped’; there are groupings of teeth and tooth sites that may have similar ‘resistance’ to caries; (6) as the mean DMFT declines, the posteruptive time for initiation of caries increases and the progression rate of caries through enamel decreases. This is true regardless of the presence of fluoride. Any improvement in dental health will cause this effect.

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Section: Discussionmentioning

confidence: 99%

Using Universal Patterns of Caries for Planning and Evaluating Dental Care

Sheiham¹,

Sabbah²

2010

Caries Res

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“…Testing with the Shapiro-Wilk W found that neither the number of natural teeth nor FTUs were normally distributed. Therefore, we used a generalized linear model (GLM) of the negative binominal distribution with a logit builtin link function (Lewsey and Thomson, 2004;Javali and Parameshwar 2008). For the GLM, the numbers of natural teeth and FTUs were treated as response variables and the diabetic status as an explanatory variable.…”

Section: Discussionmentioning

confidence: 99%

Association between Diabetes Mellitus and Oral Health Status in Japanese Adults

et al. 2010

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Aim The objective of this study was to analyze the oral health among Japanese adults, with and without diabetes mellitus. MethodologyThe subjects were 518 community residents aged 20 to 91 years in Japan, who participated in the "Akita health and nutrition survey" and the "Akita dental disease survey", conducted in 2006. The surveys comprised a self-administered questionnaire, along with medical and dental examinations.Results Using the community periodontal index (CPI), the mean numbers of sextants presenting codes 0, 1 and 2 were significantly lower in diabetics than non-diabetics among the 59 years or younger age group. Although the mean numbers of sextants with codes 0, 1 and 2 among the 60 to 69 years age group were lower, and sextants with a code X among the 59 years or younger age group were higher in diabetics than non-diabetics, no statistically significant differences were detected. The tendency of lower mean numbers of natural teeth and functional tooth units in diabetics than non-diabetics was observed, however no differences were statistically significant. ConclusionThe outcome of periodontal disease seemed to be influenced by the diabetic state to some degree, but a clear association between diabetes and oral health status was not found.

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“…Another type of analytical obstacle arose because some studies did not conduct or report statistical tests of intergender difference in caries prevalence or experience David et al, 2005), others stated that gender differences were significant, but did not indicate the direction of gender bias and some noted the direction and statistical significance of the gender difference, but did not report caries data by gender (Javali and Pandit, 2007;Rami Reddy et al, 1982a). When possible I contacted the author responsible for correspondence, requesting the missing data or statistical results.…”

Section: Methodsmentioning

confidence: 99%