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Table 2 Gender-related variables and corresponding factor loading in PCA

From: Gender score development in the Berlin Aging Study II: a retrospective approach

  Component
1 2 3 4 5
Employment status 2014 − .041 − .082 − .097 − .042 .713
Risk-taking behaviour composite − .004 .122 .384 .592 − .137
BFI-Neuroticism .787 − .093 .047 − .068 − .002
BFI-Agreeableness − .169 .297 − .486 .067 .066
BFI-Extraversion − .057 .767 − .092 − .041 .062
BFI-Conscientiousness − .227 .455 − .386 − .057 − .129
BFI-Openness − .012 .812 .088 .060 − .021
The good things in my life .381 − .145 .114 − .057 .403
Perceived stress .815 − .092 − .024 .027 − .076
Chronic strain .819 .016 .013 .106 − .056
UCLA-Loneliness: composite − .176 .323 .121 .079 .567
Family status 2009–2014 .045 − .089 − .256 .823 .080
Education − .100 .092 .730 − .011 .060
  1. In this factor analysis, an item was said to load on a given component if the factor loading was 0.40 or greater for that component and was less than 0.4 for other components. Based on this analysis, all items were included in logistic regression (n = 1869)