What statistical method should be used to evaluate risk factors associated with dmfs index? Evidence from the National Pathfinder Survey of 4-year-old Italian children

Community Dentistry and Oral Epidemiology

Volumn 37, Issue 6, 2009, Pages 539-546

  Solinas, Giuliana ^a   Campus, Guglielmo ^a   Maida, Carmelo ^a   Sotgiu, Giovanni ^a   Cagetti, Maria Grazia ^b   Lesaffre, Emmanuel ^c   Castiglia, Paolo ^a  

^a UNIVERSITY OF SASSARI   (Italy)

^b UNIVERSITY OF MILAN   (Italy)

^c UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Caries epidemiology; Negative binomial; Poisson; Statistical models; Zero inflated models

Indexed keywords

ARTICLE; CROSS-SECTIONAL STUDY; DENTAL CARIES; HEALTH SURVEY; HUMAN; ITALY; POISSON DISTRIBUTION; PRESCHOOL CHILD; PREVALENCE; REGRESSION ANALYSIS; RISK FACTOR;

CHILD, PRESCHOOL; CROSS-SECTIONAL STUDIES; DENTAL CARIES; DMF INDEX; HEALTH SURVEYS; HUMANS; ITALY; POISSON DISTRIBUTION; PREVALENCE; REGRESSION ANALYSIS; RISK FACTORS;

EID: 73149114155     PISSN: 03015661     EISSN: 16000528     Source Type: Journal    
DOI: 10.1111/j.1600-0528.2009.00500.x     Document Type: Article

References (36)

1. Burt BA, Eklund SA Dentistry, dental practice and the community, 4th edn. Philadelphia: WB Saunders Co, 1992.
2. Spencer AJ. Skewed distributions-new outcome measures. Community Dent Oral Epidemiol 1997 25: 52 9.
3. Bratthall D. Introducing the Significant Caries Index together with a proposal for a new global oral health goal for 12-year-olds. Int Dent J 2000 50: 378 384.
4. Frencken JE, Kalsbeek H, Verrips GH. Has the decline in dental caries been halted? Changes in caries prevalence amongst 6-and 12-year-old children in Friesland, 1973-1988 Int Dent J 1990 40: 225 230.
5. Truin GJ, König KG, de Vries HCB, Mulder J, Plasschaert AJM. Trends in caries prevalence in 5-, 7-and 11-year-old schoolchildren in The Hague between 1969 and 1989. Caries Res 1991 25: 462 467.
6. Nugent ZJ, Pitts NB. Patterns of change and results overview 1985/6-1995/6 from the British Association for the Study of Community Dentistry (BASCD) coordinated National Health Service surveys of caries prevalence. Community Dent Health 1997 14: 30 54.
7. Downer MC. The changing pattern of dental disease over 50 years. Br Dent J 1998 185: 36 41.
8. Truin GJ, König KG, Bronkhorst EM, Frankenmolen F, Mulder J, van't Hof MA. Time trends in caries experience of 6-and 12-year-old children of different socioeconomic status in The Hague. Caries Res 1998 32: 1 4.
9. Truin GJ, Konig KG, Kalsbeek H. Trends in dental caries in the Netherlands. Adv Dent Res 1993 7: 15 18.
10. Petersen MR, Deddens JA. A comparison of two methods for estimating prevalence ratios. BMC Med Res Methodol 2008 8: 9.
11. Kegler SR. Reporting incidence from a surveillance system with an operational case definition of unknown predictive value positive. Epidemiol Persp Innovation 2005 2: 7.
12. Greene WH Accounting for excess zeroes and sample selection in Poisson and negative binomial regression models. Working paper, New York: Department of Economics, Stern School of business, New York University, 1994.
13. Lambert D. Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics 1992 34: 1 14.
14. Mullahy J. Heterogeneity, excess zeros, and the structure of count data models. J Appl Economet 1997 12: 337 350.
15. Böhning D, Dietz E, Schlattmann P, Mendonça L, Kirchner U. The zero-inflated Poisson model and the decayed, missing and filled teeth index in dental epidemiology. J Royal Stat Soc A 1999 162: 195 209.
16. Lewsey JD, Thomson WM. The utility of the zero-inflated Poisson and zero-inflated negative binomial models: a case study of cross-sectional and longitudinal DMF data examining the effect of socio-economic status. Community Dent Oral Epidemiol 2004 32: 183 189.
17. Mwalili SM, Lesaffre E, Declerck D. The zero-inflated negative binomial regression model with correction for misclassification: an example in caries research. Stat Methods Med Res 2008 17: 123 139.
18. Hur K, Hedeker D, Henderson W, Khuri S, Daley J. Modeling clustered count data with excess zeros in health care outcomes research. Health Serv Outcomes Res Methodol 2002 3: 5 20.
19. Javali SB, Parameshwar VP. Use of the generalized linear models in data related to dental caries index. Indian J Dental Res, 2007 18: 163 167.
20. Campus G, Solinas G, Cagetti MG, Senna A, Minelli L, Majori S et al. National pathfinder survey of 12-year-old children's oral health in Italy. Caries Res 2007 41: 512 517.
21. Castiglia P, Campus G, Solinas G, Maida C, Strohmenger L. Children's oral health in Italy. Training and clinical calibration of the examiners for the National pathfinder about caries disease. Oral Health Prev Dent 2007 5: 255 261.
22. Grainger RM, Reid DB. Distribution of dental caries in children. J Dent Res 1954 33: 613 623.
23. Böhning D, Dietz E, Schlattmann P Zero-inflated Count models and their applications in public health and social science. In: Rost J, Langeheine R eds. Applications of latent trait and latent class models in the Social Sciences. 1st edn. Germany: Munster Waxmann, 1997 333 344.
24. Cameron AC, Trivedi PK. Regression analysis of count data. New York: Cambridge University Press 1998.
25. Vuong Q. Likelihood ratio tests for model selection and non-nested hypothesis. Econometrica 1989 57: 307 333.
26. Akaike H Information theory and an extension of the maximum likelihood principle. In: Petrov BN, Csaki F eds., 2nd international symposium on information theory. Budapest: Akademiai Kiado, 1973.
27. Akaike H. A new look at the statistical model identification. IEEE Automat Contr, 1974 6: 716 723.
28. Long JS, Freese J. Predicted probabilities for count models. The Stata J 2001 1: 51 7.
29. Diane L, Eastman MA. Dental outcomes of preterm infants. Newborn Infant Nurs Rev 2003 3: 93 98.
30. Alvarez JO, Navia JM. Nutritional status, tooth eruption, and dental caries: a review. Am J Clin Nutr 1989 49: 417 426.
31. Iida H, Auinger P, Billings RJ, Weitzman M. Association between infant breastfeeding and early childhood caries in the United States. Pediatrics 2007 120: e944 e952.
32. Fabien V, Obry-Musset AM, Hedelin G, Cahen PM. Use of the generalised linear model with Poisson distribution to compare caries indices. Community Dent Health 1999 16: 93 6.
33. Stecksén-Blicks C, Sunnegårdh K, Borssén E. Caries experience and background factors in 4-year-old children: time trends 1967-2002. Caries Res 2004 38: 149 155.
34. Campus G, Solinas G, Strohmenger L, Cagetti MG, Senna A, Minelli L et al. National Pathfinder Survey on children's oral health in Italy. Pattern and severity of caries disease in 4-year-olds. Caries Res, 2009 43: 155 162.
35. Henkuzena I, Care R, Rogovska I. Dental Status Among 2-6 year old children in Riga City, Latvia. Stomatologija. Baltic Dental Maxillofac J 2004 6: 28 30.
36. Olak J, Mändar R, Karjalainen S, Söderling E, Saag M. Dental health and oral mutans streptococci in 2-4-year-old Estonian children. Int J Paediatr Dent 2007 17: 92 7.