A comparison of ordinal regression models in an analysis of factors associated with periodontal disease
2010

Factors Associated with Periodontal Disease

Sample size: 1760 publication Evidence: moderate

Author Information

Author(s): Javali Shivalingappa, Pandit Parameshwar

Primary Institution: SDM College of Dental Sciences, Dharwad, India

Hypothesis

The study aimed to determine the factors associated with periodontal disease by using different regression models for ordinal data.

Conclusion

The ordinal regression model with Clog-log is a better fit for determining significant factors associated with periodontal disease compared to other models.

Supporting Evidence

  • Ordinal regression models with different link functions showed similar results.
  • Factors like religion, caste, and oral hygiene practices were significantly associated with periodontal disease.
  • The Clog-log model provided the best fit for the data.

Takeaway

The study looked at what affects gum disease and found that things like religion and how you clean your teeth can make a difference.

Methodology

A cross-sectional design was employed using clinical examination and a questionnaire with interview method.

Participant Demographics

Individuals aged 18-40 years from Dharwad, Karnataka, India.

Statistical Information

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.4103/0972-124X.75909

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