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Multivariable logistic regression

  • A multivariate logistic regression was conducted to examine the influence of several predictors on the chronicity of mood disorder.
  • The initial independent variables entered into the regression model were the level of childhood family problems, the level of childhood conduct problems, the presence of psychological problems in the father, the presence of psychological problems in the mother, the self-rating score of mastery (coping) at age 20/21, the self-rating score of self-esteem at age 20/21, the scores of the SCL scales for depression, anxiety, somatisation and interpersonal sensitivity at age 19/20 (t-trans- formed), the presence of an anxious personality in childhood/adolescence, the presence of a family history of depression, and the presence of a family history of mania or bipolar disorder.
  • The models were reduced by eliminating, one by one, the least significant variable. If the deletion of a variable led to a change of more than 20% in one or more of the remaining regression coefficients, the variable was kept in the model. This procedure continued until only variables with a statistical significance level of at least P < 0.1 remained. Only these variables will be reported.

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Updated 2021-04-15

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Psychology

Social Science

Empirical Science

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