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Table 2 Model 1 random intercept equations

From: Individual well-being and national determinants of screening mammography among women over fifty

 

CASP QOL score (12–48)

EURO-Dr psychological score (0–12)

SHr subjective health (1–5)

Equation

Odds Ratio

Odds Ratio

Odds Ratio

Intercept

207.7 *** (133.52 – 323.12)

708.4 *** (447.52 – 1121.33)

593.58 *** (378.22–931.55)

Age

0.90 *** (0.89–0.90)

0.90 *** (0.89–0.90)

0.90 *** (0.89–0.90)

Years of Education

1.03 *** (1.02–1.04)

1.04 *** (1.03–1.04)

1.03 *** (1.03–1.04)

Unmet needs

0.89** (0.83–0.96)

0.82*** (0.77–0.88)

0.84*** (0.78–0.89)

Chronic diseases

1.11 *** (1.09 – 1.13)

1.08 *** (1.06 – 1.10)

1.10 *** (1.08 – 1.12)

CASP QOL score

1.04 *** (1.03 – 1.04)

  

EURO-Dr psychological score

 

1.02 * (1.00 – 1.03)

 

SHr subjective health score

  

1.10 *** (1.07 – 1.14)

Random Effect

 τ00

0.37 country

0.78 country

0.75 country

 ICC

0.10

0.19

0.19

 N

26 countries

27 countries

27 countries

 Observations

24433

25706

26478

 Marginal R2 / Conditional R2

0.241 / 0.319

0.215 / 0.364

0.226 / 0.371

 AIC

27715.122

28795.741

29389.870

 log-Likelihood

-13823.7

-14364.3

-14660.3

  1. Three random intercept logistic multilevel equations, with the fixed effect of the individual-level characteristics and one source of variation in SM were estimated; τ00, intercept variation. The explanatory variables include the exposure variables and individual-level covariate variables. Romania was excluded from the CASP model, leaving us with 26 countries in this analysis
  2. *p < 0.05
  3. **p < 0.01
  4. ***p < 0.001
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International Journal for Equity in Health

ISSN: 1475-9276

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