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Table 8 Results of Logistic regression for the prevalence of negative impacts (‘fairly often’ or ‘very often’) on the studied pregnant women

From: Impact of periodontal conditions on the quality of life of pregnant women: a cross-sectional study

Variables

Model 1a

Model 2b

Model 3c

 

OR

95 % CI

P value

OR

95 % CI

P value

OR

95 % CI

P value

Model 1

         

VPI

  

0.102

  

0.137

  

0.125

 <50 % site with plaque vs. 50 % + site with plaque

/

/

 

/

/

 

/

/

 

BOP

  

0.034

  

0.035

  

0.059

 <25 % site with bleeding vs. 25 % + site with bleeding

2.13

1.06-4.28

 

2.16

1.06-4.44

 

/

/

 

PPD

  

0.939

  

0.735

  

0.740

 <25 % site with PD > =4 vs. 25 % + site with PD > =4

/

/

 

/

/

 

/

/

 

CAL

  

0.070

  

0.040

  

0.262

 0 % site with CAL > =4 vs. 0 % + site with CAL > =4

/

/

 

2.01

1.03-3.93

 

/

/

 

Model 2

         

Trimesters

     

0.990

  

0.982

 First vs. Second

   

/

/

 

/

/

 

 vs. Third

   

/

/

 

/

/

 

Previous births

     

0.448

  

0.837

 None vs. One or more

   

/

/

 

/

/

 

Utilization of dental services

     

0.134

  

0.131

 No vs. Yes

   

/

/

 

/

/

 

Frequency of nausea-vomiting

     

0.167

  

0.163

 Once or less vs. Twice

   

/

/

 

/

/

 

 vs. Three times or more

   

/

/

 

/

/

 

Self-repored systematic disease

     

0.467

  

0.504

 No vs. Yes

   

/

/

 

/

/

 

Model 3

         

Age

        

0.913

 25 or below vs. 26-30

      

/

/

 

 vs. 31-35

      

/

/

 

 vs. 36 or above

      

/

/

 

Location

        

0.733

 Urban vs. Rural

      

/

/

 

Marital status

        

0.666

 Married vs. Single

      

/

/

 

Birth place

        

0.264

 Shanghai vs. Other places

      

/

/

 

Education level

        

0.747

 Higher secondary school or below vs. Matriculation or bachelor degree or above

   

/

/

 

Monthly household income

        

0.320

 Less than RMB 6000 vs. RMB6000 or more

     

/

/

 

Coverage of dental insurance

        

0.895

 No vs. Yes

      

/

/

 

Tooth loss

        

0.409

 0 teeth missing vs. 1+ teeth missing

      

/

/

 
  1. aCox & Snell R2 = 0.02, Nagelkerke R2 = 0.04
  2. bCox & Snell R2 = 0.03, Nagelkerke R2 = 0.06
  3. cCox & Snell R2 = 0.04, Nagelkerke R2 = 0.09
  4. Model 1: Poisson regression for periodontal condition variables
  5. Model 2: Poisson regression for periodontal condition variables after adjustment for pregnancy related variables
  6. Model 3: Poisson regression for periodontal condition variables after adjustment for pregnancy related variables and possible confounders