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Table 5 Mutinomial regression model: explained variance and significance of predictors set

From: Healthy, moderate, or distressed: identification of latent profiles of mental health of a Chilean older primary care user sample

Predictors set

Nagelkerke’s R²

d R² total

AIC

BIC

LRT

Total

0.58

--

1381.52

2086.36

X²(159) = 498.48

p < 0.001

Loneliness

0.48

0.18

1492.35

2158.03

X²(9) = 128.831

p < 0.001

Stressful events

0.53

0.08

1373.31

1921.52

X²(36) = 63.791

p = 0.003

Satisfaction with family life

0.55

0.05

1366.24

1953.61

X²(27) = 38.724

p = 0.067

Other Demographics

0.56

0.04

1359.40

1946.77

X²(27) = 31.883

p = 0.236

Satisfaction with health status

0.56

0.03

1385.55

2051.24

X²(9) = 22.039

p = 0.009

Sex

0.57

0.02

1394.47

2086.26

X²(3) = 18.955

p < 0.001

Household members

0.57

0.02

1365.72

2005.30

X²(15) = 14.2

p = 0.510

Economics status

0.57

0.01

1368.96

2021.59

X²(12) = 11.44

p = 0.492

Social participation

0.57

0.01

1366.93

2019.56

X²(12) = 9.409

p = 0.668

Age

0.58

0.01

1381.88

2073.67

X²(3) = 6.368

p = 0.095

Social Support

0.58

0.01

1375.68

2054.41

X²(6) = 6.159

p = 0.406

  1. Notes. AIC: Akaike Information Criterion. BIC: Bayesian Information Criterion. LRT: Likelihood Ratio Test. Other Demographics include: Marital status, number of children, years of study, and months worked in the last year