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Table 4 Cluster effects of sex and social factors and their combinations

From: The intersectional impact of sex and social factors on subjective health: analysis of the Canadian longitudinal study on aging (CLSA)

Random effect

ICC

P value for the random intercept

MOR

Sex

0.1%

0.1408

1.04

Education

4.7%

< 0.0001

1.46

Wealth

20.6%

< 0.0001

2.40

Rural/urban status (RUS)

0.2%

0.1286

1.08

Sex & Education

3.4%

< 0.0001

1.38

Sex & Wealth

14.8%

< 0.0001

2.05

Sex & RUS

0.1%

0.01112

1.06

Education & Wealth

14.9%

< 0.0001

2.06

Education & RUS

3.2%

< 0.0001

1.37

Wealth & RUS

15.3%

< 0.0001

2.08

Sex, Education & Wealth

13.2%

< 0.0001

1.96

Sex, Education & RUS

2.9%

< 0.0001

1.35

Sex, Wealth & RUS

13.6%

< 0.0001

1.98

Education, Wealth & RUS

7.5%

< 0.0001

1.63

Sex, Education, Wealth & RUS

13.4%

< 0.0001

1.97

  1. ICC Intra-class Correlation Coefficient, MOR Median Odds Ratio