Characteristic distribution of the total and individual item scores on the Kessler Screening Scale for Psychological Distress (K6) in US adults

BMC Psychiatry. 2017 Aug 7;17(1):290. doi: 10.1186/s12888-017-1449-1.

Abstract

Background: The distributional pattern of total scores on depression screening scales in the general population has not been well studied. Recent studies suggest that the total scores on depression screening scales follow an exponential pattern, with the exception of the lower end of the distribution. To further investigate the findings, we determined the distributions of the total and individual item scores on the Kessler Screening Scale for Psychological Distress (K6).

Methods: Data were obtained from the National Survey of Midlife Development in the United States. Participants comprised 6,223 individuals between the ages of 25 and 74. The distributions of the total and individual item scores in various combinations were investigated with histograms and regression analysis.

Results: Irrespective of the combination of items, the total and individual item scores followed an exponential pattern except at the lower scores. The estimated rate parameters of regression analysis were similar among distributions with the same number of chosen items. At the lower scores, the distributional patterns of total scores varied according to the ratio of "a little" to "none" for each item response.

Conclusions: The present results have the potential to estimate the distribution of depressive symptoms in the general population. While the degree of depressive symptoms varies from individual to individual, an entire population may show a certain mathematical distribution.

Keywords: Depressive symptom; Depressive symptom measure; Exponential distribution; Item response; Kessler Screening Scale for Psychological distress; National Survey of midlife development.

MeSH terms

  • Adult
  • Aged
  • Depression / diagnosis*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Psychiatric Status Rating Scales / statistics & numerical data*
  • Regression Analysis
  • Statistical Distributions*
  • United States