Objective@#Subjective
reports of
patients with
insomnia often show a discrepancy with their objective assessments of
sleep. We aimed to assess subjective-objective
sleep discrepancy in subjects with
insomnia disorder as well as the
psychological factors associated with the discrepancy. @*
Methods@#This study is a
secondary analysis of the baseline data of a randomized controlled study on 110
adults aged 18 years to 59 years with
insomnia disorder. Subjective
reports on
sleep and the objective
measures acquired by an overnight
polysomnography were used to
measure the
sleep discrepancy.
Smartphone Addiction Proneness Scale (SAPS), Center for
Epidemiologic Studies Depression Scale (CES-D), beck
anxiety inventory (BAI), and Global Assessment of Recent Stress (GARS) were used to evaluate the
psychological factors associated with the
sleep discrepancy. @*Results@#Mean
total sleep time (TST) discrepancy of the participants was -81.65±97.41 minutes. Multivariable
logistic regression analyses revealed that age (adjusted OR=1.07, 95% CI=1.01–1.13, p=0.027), years of
education (adjusted OR=0.69, 95% CI=0.48–0.91, p=0.017), and
smartphone addiction proneness (adjusted OR=1.14, 95% CI=1.04–1.27, p=0.008) were independent predictors of TST misperception. Mean
sleep onset latency (
SOL) discrepancy of the participants was 41.28±45.01 minutes. Only
anxiety was an independent predictor of
SOL misperception (adjusted OR=1.16, 95% CI=1.05–1.31, p=0.006). @*Conclusion@#The present study provides empirical evidence to increase our
understanding of the various factors that are associated with subjective-objective
sleep discrepancy.
Screening insomnia patients with
smartphone addiction proneness may help predict the potential discrepancy between the
patients’ subjective
reports and objective
measures of
sleep duration.