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Table 2 Logistic regression models with depression and anxiety as outcome variables for the whole sample

From: Do people living in disadvantaged circumstances receive different mental health treatments than those from less disadvantaged backgrounds?

Independent variableBS.E.p-valueExp (B)95% Confidence Intervals for Exp(B)
Depression
Constant1.239.269.0003.453  
IMD Quintile 1−1.306.386.001.271.127.577
IMD Quintile 2−.888.424.036.412.179.945
IMD Quintile 3−1.160.389.003.313.146.672
IMD Quintile 4−.160.181.378.852.5981.216
Age−.031.004.000.970.962.978
Gender−.189.132.154.828.6391.073
Living alone−.409.146.005.664.499.884
Education−.275.160.084.759.5551.308
Anxiety
Constant.972.286.0012.527  
IMD Quintile 1−1.988.598.001.137.042.442
IMD Quintile 2−1.919.732.009.147.035.616
IMD Quintile 3−.655.374.080.519.2501.080
IMD Quintile 4.062.188.7401.064.7361.538
Age−.033.005.000.968.959.977
Gender−.151.143.289.860.6501.137
Living alone−.339.157.030.712.524.968
Education−.341.175.051.711.5051.001
  1. Note: IMD Quintiles compared to Quintile 5 (most disadvantaged), p-values in bold indicate significance
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