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Table 3 Logistic regression analyses for predictors of poor self-rated health and unhealthy diet

From: An average/deprivation/inequality (ADI) analysis of chronic disease outcomes and risk factors in Argentina

 

Self-rated health

Unhealthy diet

 

Step A1

Step A2

Step A3

Step B1

Step B2

Step B3

 

OR

95% CI

OR

95% CI

OR

95% CI

OR

95% CI

OR

95% CI

OR

95% CI

Socioeconomic

characteristics

            

Household income

0.92

0.91 – 0.94

0.95

0.94 – 0.97

0.95

0.94 – 0.97

0.98

0.97 – 0.98

0.99

0.98 – 0.99

0.98

0.98 – 0.99

UBN

            

No

1.00

-

1.00

-

1.00

-

1.00

-

1.00

-

1.00

-

Yes

1.37

1.19 – 1.58

0.85

0.72 – 1.00

1.14

0.95 – 1.36

1.51

1.32 – 1.74

1.19

1.02 – 1.39

1.04

0.88 – 1.23

Educational

attainment

            

High

1.00

-

1.00

-

1.00

-

1.00

-

1.00

-

1.00

-

Medium-high

2.00

1.67 – 2.39

1.76

1.46 – 2.12

1.51

1.24 – 1.84

1.46

1.29 – 1.64

1.18

1.04 – 1.35

1.24

1.08 – 1.43

Medium-low

4.09

3.42 – 4.89

3.08

2.54 – 3.74

1.91

1.54 – 2.38

1.51

1.32 – 1.72

1.22

1.05 – 1.43

1.61

1.36 – 1.91

Low

7.19

5.93 – 8.72

4.66

3.75 – 5.80

2.34

1.82 – 3.02

1.36

1.16 – 1.59

0.99

0.82 – 1.19

1.57

1.27 – 1.94

Employment

status

            

Employed

1.00

-

1.00

-

1.00

-

1.00

-

1.00

-

1.00

-

Unemployed

1.42

1.09 – 1.85

1.25

0.94 – 1.65

1.33

1.00 – 1.78

1.06

0.85 – 1.32

0.95

0.76 – 1.20

0.96

0.76 – 1.22

Not active

2.40

2.15 – 2.68

1.85

1.64 – 2.08

1.31

1.14 – 1.50

0.70

0.63 – 0.77

0.70

0.63 – 0.79

0.95

0.83 – 1.07

Reliant on

public sector

for healthcare

            

No

1.00

-

1.00

-

1.00

-

1.00

-

1.00

-

1.00

-

Yes

1.36

1.21 – 1.52

0.95

0.83 – 1.09

1.38

1.19 – 1.60

1.67

1.51 – 1.85

1.42

1.26 – 1.59

1.24

1.09 – 1.41

Demographic

characteristics

            

Sex

            

Male

1.00

-

  

1.00

-

1.00

-

  

1.00

-

Female

1.43

1.29 – 1.60

  

1.34

1.18 – 1.53

0.62

0.57 – 0.69

  

0.62

0.55 – 0.69

Age

1.04

1.04 – 1.04

  

1.04

1.03 – 1.04

0.98

0.98 – 0.98

  

0.98

0.97 – 0.98

Marital

status

            

Married

1.00

-

  

1.00

-

1.00

-

  

1.00

-

Separated or divorced

1.11

0.92 – 1.33

  

0.90

0.74 – 1.11

1.06

0.89 – 1.26

  

1.15

0.95 – 1.39

Widowed

2.15

1.83 – 2.53

  

0.65

0.53 – 0.79

0.61

0.50 – 0.74

  

1.03

0.82 – 1.30

Single

0.53

0.45 – 0.62

  

0.85

0.71 – 1.00

1.41

1.26 – 1.58

  

0.99

0.87 – 1.14

Provinces

            

Buenos Aires (Capital)

1.00

-

  

1.00

-

1.00

-

  

1.00

-

Buenos Aires (Province)

1.25

1.02 – 1.54

  

0.75

0.59 – 0.95

1.37

117 – 1.61

  

0.91

0.76 – 1.10

Catamarca

1.72

1.37 – 2.16

  

1.31

1.01 – 1.72

1.76

1.46 – 2.11

  

1.17

0.95 – 1.44

Córdoba

1.55

1.23 – 1.95

  

1.11

0.85 – 1.45

1.43

1.19 – 1.73

  

1.08

0.88 – 1.33

Corrientes

1.48

1.16 – 1.81

  

0.87

0.67 – 1.14

1.69

1.41 – 2.01

  

1.04

0.84 – 1.27

Chaco

1.43

1.15 – 1.79

  

0.85

0.66 – 1.11

1.52

1.28 – 1.80

  

0.86

0.70 – 1.05

Chubut

1.06

0.83 – 1.34

  

0.81

0.62 – 1.06

1.10

0.91 – 1.32

  

0.77

0.62 – 0.95

Entre Ríos

1.35

1.07 – 1.71

  

0.79

0.59 – 1.05

1.17

0.97 – 1.42

  

0.78

0.63 – 0.97

Formosa

2.30

1.82 – 2.89

  

1.29

0.98 – 1.70

0.64

0.52 – 0.79

  

0.38

0.30 – 0.48

Jujuy

3.08

2.44 – 3.88

  

2.35

1.77 – 3.14

0.51

0.41 – 0.64

  

0.31

0.24 – 0.40

La Pampa

0.92

0.71 – 1.17

  

0.54

0.40 – 0.73

1.32

1.09 – 1.60

  

0.87

0.70 – 1.08

La Rioja

1.86

1.51 – 2.31

  

1.56

1.22 – 2.00

1.63

1.37 – 1.93

  

1.08

0.89 – 1.31

Mendoza

1.19

0.95 – 1.49

  

0.80

0.62 – 1.03

0.89

0.75 – 1.08

  

0.67

0.54 – 0.82

Misiones

1.71

1.36 – 2.14

  

1.02

0.78 – 1.33

0.57

0.46 – 0.70

  

0.33

0.26 – 0.42

Neuquén

1.73

1.39 – 2.16

  

1.35

1.04 – 1.74

1.04

0.87 – 1.24

  

0.69

0.56 – 0.85

Río Negro

1.59

1.27 – 1.99

  

1.18

0.90 – 1.53

1.26

1.05 – 1.52

  

0.86

0.70 – 1.06

Salta

2.28

1.83 – 2.85

  

1.59

1.22 – 2.07

0.69

0.57 – 0.83

  

0.38

0.30 – 0.48

San Juan

1.80

1.45 – 2.23

  

1.21

0.94 – 1.57

0.99

0.83 – 1.19

  

0.64

0.52 – 0.79

San Luis

1.71

1.38 – 2.12

  

1.21

0.94 – 1.57

1.23

1.03 – 1.47

  

0.82

0.67 – 1.00

Santa Cruz

1.46

1.17 – 1.84

  

1.51

1.16 – 1.98

1.71

1.42 – 2.04

  

1.25

1.01 – 1.53

Santa Fe

1.24

0.99 – 1.56

  

0.82

0.63 – 1.08

1.27

1.06 – 1.52

  

0.95

0.77 – 1.16

Santiago del Estero

2.01

1.63 – 2.47

  

1.32

1.03 – 1.69

1.20

1.01 – 1.42

  

0.74

0.61 – 0.90

Tucumán

2.11

1.71 – 2.61

  

1.52

1.18 – 1.96

1.13

0.95 – 1.35

  

0.72

0.58 – 0.88

Tierra del Fuego

1.09

0.85 – 1.39

  

1.50

1.13 – 1.99

1.62

1.34 – 1.94

  

1.25

1.01 – 1.53

N

38,223 – 41,392

37,718

37,718

38,223 – 41,392

37,718

37,718

  1. Note: Results in steps A1 and B1 (table 3) and C1 and D1 (table 4) refer to bivariate (unadjusted) odds ratios and confidence intervals.
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Population Health Metrics

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