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Table 3 Logistic regressions: Associations between background variables, locus of control, disease burden and self-rated health

From: The influence of locus of control on self-rated health in context of chronic disease: a structural equation modeling approach in a cross sectional study

  Variables Nagelkerke r2 B S.E. OR 95% CI P-value
Model 1   0.02      
Background Gendera   .199 .207 1.220 0.81 to 1.83 0.337
Age   -.015 .012 .985 0.96 to 1.01 0.199
Education level   .151 .129 1.163 0.90 to 1.50 0.243
Model 2   0.09      
MHLCb Internal   .082 .023 1.085 1.04 to 1.14 0.000
Chance   -.061 .026 .940 0.89 to 0.99 0.017
Powerful others   -.066 .023 .936 0.90 to 0.98 0.004
Model 3   0.19      
Background Gendera   .243 .245 1.275 0.79 to 2.06 0.321
Age   -.007 .014 .993 0.97 to 1.02 0.625
Education level   .182 .151 1.200 0.89 to 1.61 0.230
MHLCb Internal   .063 .025 1.065 1.01 to 1.12 0.012
Chance   -.038 .029 .963 0.91 to 1.02 0.188
Powerful others   -.056 .025 .945 0.90 to 1.00 0.026
Diseases Disease burden   -.416 .080 .660 0.56 to 0.77 0.000
  1. aMen = 1, women = 2.
  2. bMultidimensional health locus of control in index-form, ranging from 6 to 36.
  3. Odds ratio (OR), standard error (S.E.) and confidence interval (CI) for the logistic regressions.
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BMC Public Health

ISSN: 1471-2458

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