Related Experiment Video
Updated: Nov 21, 2025

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
Published on: April 26, 2024
Internal consistency and factor structure of Jenkins Sleep Scale: cross-sectional cohort study among 80 000 adults
Juhani Juhola1, J P A Arokoski2,3, Jenni Ervasti4
1Physical and Rehabilitation Medicine, TYKS Turku University Hospital, Turku, Varsinais-Suomi, Finland juhani.juhola@turku.fi.
Objectives:
To assess the internal consistency and construct validity of the Finnish translation of the Jenkins Sleep Scale (JSS) in a large healthy working-age population with diverse work characteristics.
Design:
Survey-based cross-sectional cohort study.
Setting:
Survey conducted by an institute of occupational health.
Participants:
Employees of 10 towns and 6 hospital districts.
Primary And Secondary Outcome Measures:
The internal consistency defined by a Cronbach's alpha. Exploratory and confirmatory factor analyses to evaluate the construct structure of the JSS.
Results:
Of 81 136 respondents, 14 890 (18%) were men and 66 246 (82%) were women. Their average age was 52.1 (13.2) years. Of the respondents, 41 823 (52%) were sleeping 7 or less hours per night. The mean JSS total score was 6.4 (4.8) points. The JSS demonstrated high internal consistency with an alpha of 0.80 (lower 95% confidence limit 0.80). Exploratory factor analysis supported a one-factor solution with eigenvalue of 1.94. Confirmatory factor analysis showed that all four items were positively correlated with a single common factor explaining 44%-61% of common factor's variance.
Conclusions:
The Finnish translation of JSS was found to be a unidimensional scale with good internal consistency. As such, the scale may be recommended as a practicable questionnaire when studying sleep difficulties in a healthy working-age population.
Related Concept Videos
Substance Use Disorders Affecting Sleep
Understanding the concepts of physical dependence,...
Reliability and Validity
Longitudinal Studies
Cross-Sectional Research
Longitudinal Research
Bias in Epidemiological Studies

