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. 2020 Oct 5;30(10):436–441. doi: 10.2188/jea.JE20190057

Table 3. Associations of the types of student financial support and the total amount of student loan debt with severe psychological distressa from Poisson regression models with a robust error variance stratified by current student status after imputation.

      Model 1b Model 2c

PR 95% CI PR 95% CI
Among graduates and dropouts   (n = 3,170) (n = 3,170)
Types of student financial support None Reference Reference
  Student loans 1.22 1.01, 1.47 1.26 1.04, 1.53
  Scholarships 0.84 0.41, 1.70 0.87 0.43, 1.77
  Both types 1.10 0.55, 2.22 1.18 0.59, 2.39

  Among graduates and dropouts with only student loan and none   (n = 3,053) (n = 3,053)
  Total amounts of student loan debt None Reference Reference
    <2.0 million yen 1.02 0.76, 1.39 1.04 0.77, 1.41
    2.0 to 4.0 million yen 1.21 0.93, 1.58 1.26 0.96, 1.65
    ≥4.0 million yen 1.38 0.98, 1.94 1.44 1.02, 2.03

Current university students   (n = 979) (n = 979)
Types of student financial support None Reference Reference
  Student loans 0.97 0.65, 1.44 0.91 0.60, 1.37
  Scholarships 0.66 0.17, 2.58 0.72 0.18, 2.88
  Both types 1.09 0.35, 3.42 1.12 0.36, 3.52

CI, confidence interval; PR, prevalence ratio.

aSevere psychological distress was assessed by the Kessler Psychological Distress Scale by a cut-off point at 12/13.

bModel 1: Age and sex were adjusted.

cModel 2: Model 1 + educational attainment, sources of the enrolled university, father’s educational attainment, mother’s educational attainment, and current parents’ annual household income were adjusted.

The single imputation was conducted using types of student financial support, amounts of student loan debt, current student status, age, sex, educational attainment, sources of the enrolled university, father’s educational attainment, mother’s educational attainment, current parents’ annual household income, and the K6 score by the the k-nearest neighbor algorithm from the R package named “DMwR.”