Number of independent variables in the regression based prediction of oral health

Cohen, Mare E.; Cecil, James C.

doi:10.1111/j.1600-0528.1982.tb00392.x

Cited by 2 publications

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“…The independent variables entering the multiple regression analyses have been selected on the basis of their theoretical importance in order to minimize positive bias and reduced predictive quality of the regression mode! (Lavstedt & Ekiund 1975, Cohen & Cecil 1982, Rise 1984. The coefficient of determination reported in the multiple regression analysis with B/R as the dependent variable is high (-R'^67%); /^ of the variance of B/R is thus explained by the selected independent variables.…”

Section: Discussionmentioning

confidence: 99%

“…The predictive relationship between an oral health-dependent variable (for instance, alveolar bone level) and a number of independent variables or predictors such as those mentioned above may be studied using multiple regression analyses (Lavstedt & Eklund 1975, Rise 1984, Bergstrom & Ehasson 1987, Papapanou et al 1988. To avoid increased positive bias and reduced predictive quality of the regression model, the independent variables entering the multiple regression equation must be carefully selected on the basis of their theoretical importance (Cohen & Cecil 1982).…”

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Significance of some variables on interproximal alveolar bone height based on cross‐sectional epidemiologic data

Wouters

Frithiof

et al. 1993

J Clinic Periodontology

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The objective of the study was to analyze the significance of some variables on interproximal alveolar bone height, based on cross-sectional epidemiologic data from a Swedish survey conducted in 1983-1984, in the northern medical care district of Alvsborg county. 723 dentate individuals (92% of the randomly selected dentate individuals) with complete anamnestic, clinical and radiographic documentation were included in the statistical analyses. The computerized method used to measure interproximal alveolar bone height as a % of root length (B/R) provided data at each measurable interproximal surface of the individual teeth. On the population basis, a multivariate linear regression analysis showed that: (i) mean B/R values did not differ significantly between men and women, (ii) B/R value decreased with increasing age at a linear rate of 0.26% (0.04 mm) per year of age, (iii) the higher the calculus index value, the lower the mean B/R value, (iv) the higher the plaque index value, the higher the mean B/R value, (v) level of education, dentist attendance frequency and prevalence of defective margins of dental restorations did not show any statistically significant association with B/R, (vi) individuals attending the dental hygienist less than once every 2 years had higher mean B/R value than individuals attending the dental hygienist at least once every two years, and (vii) current smokers exhibited significantly lower mean B/R value than former and non-smokers. Individuals smoking more than 5 g of tobacco per day had lower mean B/R values than individuals smoking between 1 and 5 g of tobacco per day. There was no statistically significant relationship between snuffing and B/R.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Significance of some variables on interproximal alveolar bone height based on cross‐sectional epidemiologic data

Wouters

Frithiof

et al. 1993

J Clinic Periodontology

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Concepts of health and disease and caries prediction: a literature review

Eriksen

Bjertness²

1991

European J Oral Sciences

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Abstract— Biomedical determinants of dental caries have been more extensively investigated than psychosocial factors and their impact on caries prevalence and incidence seems to be greater. However, a majority of these investigations relate to children and adolescents. An implementation of social and psychologic variables may be more relevant regarding dental caries in adults. In addition, a multidisciplinary approach might improve our understanding of dental caries as a multifactorial disease and bridge the gap between a biomedical concept and a more holistic approach to dental health.

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Number of independent variables in the regression based prediction of oral health

Cited by 2 publications

References 1 publication

Significance of some variables on interproximal alveolar bone height based on cross‐sectional epidemiologic data

Significance of some variables on interproximal alveolar bone height based on cross‐sectional epidemiologic data

Concepts of health and disease and caries prediction: a literature review

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