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. 2014 Feb 21;13:36. doi: 10.1186/2251-6581-13-36

Table 2.

Socio-economics, behaviors, and number of chronic conditions as predictors of poor subjective health among patients with diabetes in 15 countries

 
B
S.E.
Wald
Sig.
Exp (B)
95% C.I. for EXP (B)
            Lower Upper
China
Female
.139
.037
13.854
<.001
1.149
1.068
1.236
Age
−.016
.001
284.715
<.001
.985
.983
.986
Education
−.203
.017
139.722
<.001
.817
.790
.844
Income
.000
.000
192.184
<.001
1.000
1.000
1.000
Smoking
.106
.038
7.674
.006
1.112
1.031
1.198
Drinking
−.153
.035
18.984
<.001
.858
.802
.919
Exercising
−.377
.031
146.203
<.001
.686
.645
.729
Costa Rica
Female
.029
.109
.071
.790
1.030
.831
1.276
Age
−.019
.004
20.334
<.001
.981
.973
.989
Education
−.394
.069
32.336
<.001
.674
.588
.772
Income
.000
.000
8.779
.003
1.000
1.000
1.000
Smoking
.011
.099
.011
.915
1.011
.833
1.226
Drinking
−.010
.109
.009
.924
.990
.799
1.226
Exercising
−.590
.105
31.737
<.001
.554
.452
.681
Puerto Rico
Female
.461
.084
29.913
.000
1.585
1.344
1.870
Age
−.011
.005
5.302
.021
.989
.980
.998
Education
−.401
.051
62.523
<.001
.669
.606
.739
Income
.000
.000
14.095
.000
1.000
1.000
1.000
Smoking
.283
.086
10.753
.001
1.327
1.120
1.571
Drinking
−.336
.102
10.931
.001
.714
.585
.872
Exercising
−.448
.078
32.801
<.001
.639
.548
.745
United States
Female
−.054
.097
.306
.580
.948
.784
1.146
Age
.049
.066
.557
.455
1.051
.923
1.196
Education
−.333
.116
8.273
.004
.717
.571
.899
Income
.000
.000
12.963
<.001
1.000
1.000
1.000
Smoking
.604
.102
35.374
<.001
1.830
1.500
2.233
Drinking
−.703
.097
52.461
<.001
.495
.409
.599
Exercising
−1.056
.200
28.031
<.001
.348
.235
.514
Mexico
Female
.023
.100
.055
.815
1.024
.841
1.246
Age
.017
.005
11.807
.001
1.017
1.007
1.026
Education
−.291
.055
27.461
<.001
.748
.671
.834
Income
.000
.000
16.775
<.001
1.000
1.000
1.000
Smoking
.462
.096
23.380
<.001
1.588
1.316
1.915
Drinking
−1.108
.099
125.824
<.001
.330
.272
.401
Exercising
.546
.102
28.673
<.001
1.727
1.414
2.109
Argentina
Female
.374
.182
4.222
.040
1.453
1.017
2.075
Age
−.014
.011
1.657
.198
.986
.966
1.007
Education
−.756
.108
49.389
<.001
.470
.380
.580
Income
.000
.000
2.127
.145
1.000
1.000
1.000
Smoking
.415
.172
5.853
.016
1.515
1.082
2.120
Drinking
−.528
.160
10.903
.001
.590
.431
.807
Exercising
−.622
.243
6.541
.011
.537
.333
.865
Barbados
Female
.330
.147
5.028
.025
1.390
1.042
1.855
Age
.032
.008
17.359
<.001
1.032
1.017
1.048
Education
−.273
.103
7.082
.008
.761
.622
.931
Income
.000
.000
3.758
.053
1.000
1.000
1.000
Smoking
.154
.160
.921
.337
1.166
.852
1.597
Drinking
−.564
.143
15.517
<.001
.569
.429
.753
Exercising
−.503
.124
16.409
<.001
.605
.474
.771
Brazil
Female
.012
.108
.012
.913
1.012
.819
1.250
Age
−.007
.006
1.470
.225
.993
.982
1.004
Education
−.196
.065
9.063
.003
.822
.723
.934
Income
.000
.000
11.466
.001
1.000
1.000
1.000
Smoking
.397
.104
14.675
<.001
1.488
1.214
1.823
Drinking
−.788
.105
56.162
<.001
.455
.370
.559
Exercising
−.680
.111
37.302
<.001
.507
.407
.630
Chile
Female
.253
.136
3.475
.062
1.288
.987
1.682
Age
.001
.008
.021
.885
1.001
.986
1.016
Education
−.323
.064
25.809
<.001
.724
.639
.820
Income
.000
.000
.000
.989
1.000
1.000
1.000
Smoking
.179
.128
1.943
.163
1.196
.930
1.537
Drinking
−.395
.130
9.271
.002
.674
.523
.869
Exercising
−.408
.146
7.809
.005
.665
.499
.885
Cuba
Female
.472
.119
15.580
<.001
1.603
1.268
2.025
Age
−.008
.006
1.389
.239
.992
.980
1.005
Education
−.264
.076
12.158
<.001
.768
.662
.891
Income
.000
.000
1.217
.270
1.000
1.000
1.000
Smoking
.251
.115
4.785
.029
1.285
1.026
1.609
Drinking
−.434
.127
11.570
.001
.648
.505
.832
Exercising
−.382
.119
10.371
.001
.682
.541
.861
Uruguay
Female
.201
.149
1.805
.179
1.222
.912
1.639
Age
−.006
.008
.581
.446
.994
.978
1.010
Education
−.366
.072
25.639
<.001
.693
.602
.799
Income
.000
.000
.887
.346
1.000
1.000
1.000
Smoking
.180
.140
1.668
.197
1.198
.911
1.575
Drinking
−.682
.132
26.538
<.001
.506
.390
.656
Exercising
−.809
.194
17.446
<.001
.445
.305
.651
India
Female
.293
.080
13.231
<.001
1.340
1.145
1.569
Age
.040
.004
129.415
<.001
1.041
1.034
1.048
Education
−.205
.042
23.824
<.001
.814
.750
.884
Income
.000
.000
15.854
<.001
1.000
1.000
1.000
Smoking
.337
.072
21.774
<.001
1.401
1.216
1.614
Drinking
.166
.095
3.037
.081
1.181
.980
1.423
Exercising
−.613
.077
63.331
<.001
.542
.466
.630
Ghana
Female
.284
.119
5.655
.017
1.328
1.051
1.679
Age
.052
.005
115.199
<.001
1.053
1.043
1.063
Education
−.188
.056
11.171
.001
.829
.742
.925
Income
.000
.000
.160
.689
1.000
1.000
1.000
Smoking
.236
.135
3.037
.081
1.266
.971
1.651
Drinking
.165
.109
2.307
.129
1.180
.953
1.460
Exercising
−.587
.108
29.316
<.001
.556
.449
.687
South Africa
Female
.064
.108
.348
.555
1.066
.863
1.316
Age
.025
.005
22.845
<.001
1.025
1.015
1.035
Education
−.052
.036
2.075
.150
.950
.885
1.019
Income
.000
.000
2.049
.152
1.000
1.000
1.000
Smoking
.156
.122
1.643
.200
1.169
.921
1.484
Drinking
.219
.131
2.816
.093
1.245
.964
1.608
Exercising
−.665
.179
13.800
<.001
.515
.362
.731
Russia
Female
.372
.131
8.002
.005
1.450
1.121
1.876
Age
.070
.005
175.456
<.001
1.073
1.062
1.084
Education
−.256
.075
11.785
.001
.774
.669
.896
Income
.000
.000
14.406
<.001
1.000
1.000
1.000
Smoking
.417
.140
8.907
.003
1.518
1.154
1.996
Drinking
−.146
.111
1.725
.189
.864
.695
1.074
Exercising −.746 .118 40.223 <.001 .474 .377 .597