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Sociodemographic determinants for oral health risk profiles.

Vanobbergen J, De Visschere L, Daems M, Ceuppens A, Van Emelen J - Int J Dent (2010)

Bottom Line: Age, gender, and socio-economic status were extracted from social insurance data files.Social indicators were "occupational status," "being entitled to the increased allowance for health care interventions" and having access to the "Maximum Bill" (MAF), initiatives undertaken to protect deprived families.The multiple logistic model showed a significantly higher chance of being in the low risk group for individuals with no-access to the MAF compared to those with access (OR:14.33-95% C.I. 2.14-95.84).

View Article: PubMed Central - PubMed

Affiliation: Community Dentistry and Oral Public Health, Dental School, Ghent University, 9000 Ghent, Belgium.

ABSTRACT
The present study aimed to explore the association between caries risk profiles and different sociodemographic factors . The study sample (n = 104) was randomly selected within an urban population in Flanders, Belgium. Caries risk was assessed by anamnesis, clinical examination, salivary tests, and a questionnaire. Age, gender, and socio-economic status were extracted from social insurance data files. Social indicators were "occupational status," "being entitled to the increased allowance for health care interventions" and having access to the "Maximum Bill" (MAF), initiatives undertaken to protect deprived families. In the bivariate analysis there were significant differences in risk profiles between occupational groups (P < .001), between entitled and non-entitled individuals to the increased allowance (P = .02), and between access or no-access to the MAF (P < .01). The multiple logistic model showed a significantly higher chance of being in the low risk group for individuals with no-access to the MAF compared to those with access (OR:14.33-95% C.I. 2.14-95.84).

No MeSH data available.


Related in: MedlinePlus

The chance of developing new caries expressed in a percentage.
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC2836788&req=5

fig1: The chance of developing new caries expressed in a percentage.

Mentions: The average chance of developing new caries, calculated on the basis of the risk profile as it was described in Section 3 is shown in Figure 1.


Sociodemographic determinants for oral health risk profiles.

Vanobbergen J, De Visschere L, Daems M, Ceuppens A, Van Emelen J - Int J Dent (2010)

The chance of developing new caries expressed in a percentage.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC2836788&req=5

fig1: The chance of developing new caries expressed in a percentage.
Mentions: The average chance of developing new caries, calculated on the basis of the risk profile as it was described in Section 3 is shown in Figure 1.

Bottom Line: Age, gender, and socio-economic status were extracted from social insurance data files.Social indicators were "occupational status," "being entitled to the increased allowance for health care interventions" and having access to the "Maximum Bill" (MAF), initiatives undertaken to protect deprived families.The multiple logistic model showed a significantly higher chance of being in the low risk group for individuals with no-access to the MAF compared to those with access (OR:14.33-95% C.I. 2.14-95.84).

View Article: PubMed Central - PubMed

Affiliation: Community Dentistry and Oral Public Health, Dental School, Ghent University, 9000 Ghent, Belgium.

ABSTRACT
The present study aimed to explore the association between caries risk profiles and different sociodemographic factors . The study sample (n = 104) was randomly selected within an urban population in Flanders, Belgium. Caries risk was assessed by anamnesis, clinical examination, salivary tests, and a questionnaire. Age, gender, and socio-economic status were extracted from social insurance data files. Social indicators were "occupational status," "being entitled to the increased allowance for health care interventions" and having access to the "Maximum Bill" (MAF), initiatives undertaken to protect deprived families. In the bivariate analysis there were significant differences in risk profiles between occupational groups (P < .001), between entitled and non-entitled individuals to the increased allowance (P = .02), and between access or no-access to the MAF (P < .01). The multiple logistic model showed a significantly higher chance of being in the low risk group for individuals with no-access to the MAF compared to those with access (OR:14.33-95% C.I. 2.14-95.84).

No MeSH data available.


Related in: MedlinePlus