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Table 3 Predictors of frequent attenders (0 = Non-frequent attenders; 1 = Frequent attenders; cut-off at the highest quartile). Results of multiple logistic regressionsa

From: Association of general psychological factors with frequent attendance in primary care: a population-based cross-sectional observational study

 

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

Independent variables

Frequent attenders

Frequent attenders

Frequent attenders

Frequent attenders

Frequent attenders

Frequent attenders

Frequent attenders

Frequent attenders

Potential confounders

Life satisfaction

0.77***

       
 

(0.71 – 0.84)

       

Positive affect

 

0.74***

      
  

(0.66 – 0.84)

      

Negative affect

  

1.40***

     
   

(1.24 – 1.58)

     

Optimism

   

0.70***

    
    

(0.63 – 0.78)

    

Self-efficacy

    

0.64***

   
     

(0.55 – 0.73)

   

Self-esteem

     

0.74***

  
      

(0.64 – 0.86)

  

Self-regulation

      

0.82***

 
       

(0.73 – 0.92)

 

Perceived stress

       

1.48***

        

(1.35 – 1.63)

Constant

0.46

0.87

0.13***

0.86

1.16

0.85

0.73

0.09***

 

(0.15 – 1.47)

(0.26 – 2.85)

(0.04 – 0.43)

(0.27 – 2.76)

(0.35 – 3.81)

(0.26 – 2.79)

(0.22 – 2.45)

(0.03 – 0.30)

Observations

6,730

6,725

6,724

6,764

6,760

6,778

6,662

6,692

Pseudo R2

0.109

0.106

0.107

0.108

0.108

0.104

0.104

0.112

  1. aAll estimations include age, (log) equivalence income, number of chronic diseases, Body-Mass-Index, as well as dummy-variables for sex, marital status, employment status, region, sports, alcohol consumption and smoking status as potential confounders. Odds ratios were reported; 95% confidence intervals in parentheses; ***p < 0.001, **p < 0.01, *p < 0.05, + p < 0.10. Life satisfaction (SWLS, Pavot & Diener, 1993); Positive and negative affect (PANAS, Watson et al., 1988); Optimism (Brandtstädter & Wentura, 1994); Self-efficacy (Schwarzer & Jerusalem, 1999); Self-esteem (Rosenberg, 1965); Self-regulation (Freund & Baltes, 2002); Perceived stress (Cohen et al., 1983). The Wald test was used to test the significance of each parameter