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Table 3 Multinomial logistic regression results for self-reported health: Individual-level variables.

From: Small area contextual effects on self-reported health: Evidence from Riverside, Calgary

 

Good vs. Poor/Fair

Very Good vs. Poor/Fair

Excellent vs. Poor/Fair

 

B

O.R. (95% CI)

B

O.R. (95% CI)

B

O.R. (95% CI)

Gender

-.636*

0.529

(0.271-1.035)

-.559

.572

(0.297-1.101)

-.470

.625

(0.310-1.259)

Age 18-24

-.085

0.918

(0.171-4.924)

.567

1.763

(0.382-8.145)

.789

2.202

(0.471-10.283)

Age 25-34

.345

1.412

(0.458-4.355)

.038

1.038

(0.355-3.036)

-.043

.958

(0.313-2.931)

Age 35-44

.382

1.466

(0.498-4.318)

.137

1.147

(0.409-3.214)

.108

1.114

(0.383-3.239)

Age 45-54

(reference category)

---

 

---

 

---

 

Age 55-64

.469

1.599

(0.572-4.471)

-.409

.664

(0.232-1.907)

-.387

.679

(0.226-2.039)

Age 65+

.520

1.681

(0.580-4.871)

.814

2.256

(0.758-6.486)

-.319

.727

(0.215-2.455)

Less than High School

(reference category)

--

 

--

 

--

 

High School

.725

2.064

(0.844-5.046)

1.757**

5.793

(2.152-15.596)

1.444**

4.236

(1.443-12.434)

Technical

.220

1.246

(0.547-2.838)

1.71***

5.546

(2.239-13.739)

1.239*

3.451

(1.266-9.407)

University Degree

.342

1.408

(0.453-4.371)

2.22***

9.209

(2.930-28.947)

2.141**

8.507

(2.540-28.487)

Employed

1.152**

3.164

(1.408-7.109)

1.80***

6.028

(2.645-13.736)

1.479**

4.390

(1.870-10.307)

Intercept

-.362

 

-1.55**

 

-1.359*

 
  1. Model Fit:
  2. Chi-square (DF = 30) 89.237***
  3. Pseudo R-squarea 0.184
  4. Notes: N = 439; Beta coefficients (B) and Odds Ratios (O.R.) shown.
  5. *p < .05, ** p < .01 ***p < .001 (2-tailed tests). a Cox and Snell Pseudo R-squared reported.